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    <title>PACUPod: Critical Care</title>
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    <description>PACUPod is your trusted source for evidence-based insights tailored to advanced clinical pharmacists and physicians. Each episode dives into the latest primary literature, covering medication-focused studies across critical care and many more. We break down study designs, highlight key findings, and objectively discuss clinical implications—without the hype—so you stay informed and ready to apply new evidence in practice. Whether you’re preparing for board certification or striving for excellence in patient care, PACUPod helps you make sense of the data, one study at a time.</description>
    <copyright>© 2026 PACU</copyright>
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    <pubDate>Mon, 23 Mar 2026 05:19:13 -0700</pubDate>
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      <title>PACUPod: Critical Care</title>
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    <itunes:type>episodic</itunes:type>
    <itunes:author>PACU</itunes:author>
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    <itunes:summary>PACUPod is your trusted source for evidence-based insights tailored to advanced clinical pharmacists and physicians. Each episode dives into the latest primary literature, covering medication-focused studies across critical care and many more. We break down study designs, highlight key findings, and objectively discuss clinical implications—without the hype—so you stay informed and ready to apply new evidence in practice. Whether you’re preparing for board certification or striving for excellence in patient care, PACUPod helps you make sense of the data, one study at a time.</itunes:summary>
    <itunes:subtitle>PACUPod is your trusted source for evidence-based insights tailored to advanced clinical pharmacists and physicians.</itunes:subtitle>
    <itunes:keywords></itunes:keywords>
    <itunes:owner>
      <itunes:name>Pharmacy &amp; Acute Care University</itunes:name>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>propofol vs midazolam for ICU sedation — PACUPod</title>
      <itunes:title>propofol vs midazolam for ICU sedation — PACUPod</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[Clinical research summary for "propofol vs midazolam for ICU sedation":

[PubMed] 10 articles found for "propofol vs midazolam for ICU sedation" (PMIDs: 22436955, 39100810, 36795623, 11296183, 9470082)]]>
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        <![CDATA[Clinical research summary for "propofol vs midazolam for ICU sedation":

[PubMed] 10 articles found for "propofol vs midazolam for ICU sedation" (PMIDs: 22436955, 39100810, 36795623, 11296183, 9470082)]]>
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      <pubDate>Mon, 23 Mar 2026 05:19:09 -0700</pubDate>
      <author>PACU</author>
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      <itunes:author>PACU</itunes:author>
      <itunes:duration>876</itunes:duration>
      <itunes:summary>Clinical pharmacy review: propofol vs midazolam for ICU sedation</itunes:summary>
      <itunes:subtitle>Clinical pharmacy review: propofol vs midazolam for ICU sedation</itunes:subtitle>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Diastolic Perfusion Pressure Predicts Response to Inotropes and Vasopressors and Benefit From Mechanical Circulatory Support in Cardiogenic Shock summary</title>
      <itunes:title>Diastolic Perfusion Pressure Predicts Response to Inotropes and Vasopressors and Benefit From Mechanical Circulatory Support in Cardiogenic Shock summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">974f2955-f177-4118-b973-b9e0b38fceec</guid>
      <link>https://share.transistor.fm/s/629092f1</link>
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        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Thu, 20 Nov 2025 11:29:46 -0800</pubDate>
      <author>PACU</author>
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      <itunes:author>PACU</itunes:author>
      <itunes:duration>509</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>cardiogenic shock, diastolic perfusion pressure, DPP, vasoactive escalation, inotropes, vasopressors, VA-ECMO, mechanical circulatory support, ECMO-CS trial, Lim et al., Circulation: Heart Failure 2025, lactate clearance, cardiac power output index, CPOI, post hoc analysis, prospective validation, risk stratification, bedside measurement, hemodynamics, ischemic cardiogenic shock, perfusion biomarkers</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/629092f1/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Early Vasopressor Utilization in Critically Ill Patients With Acute Traumatic Spinal Cord Injury A Retrospective Cohort Study summary</title>
      <itunes:title>Early Vasopressor Utilization in Critically Ill Patients With Acute Traumatic Spinal Cord Injury A Retrospective Cohort Study summary</itunes:title>
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        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Thu, 20 Nov 2025 11:27:13 -0800</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/b2da4cd8/7867ee32.mp3" length="7336480" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>459</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>Use of a drug-related problem oriented medical record in the medication review of critically ill patients Randomized clinical trial summary</title>
      <itunes:title>Use of a drug-related problem oriented medical record in the medication review of critically ill patients Randomized clinical trial summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[Join PACULit as we unpack a randomized clinical trial evaluating a drug-related problem oriented medical record (DAM) used during medication reviews for critically ill patients. The study, conducted in two Brazilian ICUs, randomized 150 adults likely to require mechanical ventilation or with organ dysfunction to DAM-enabled medication review versus standard practice. Primary outcome was hospital length of stay; key secondary outcomes included in-hospital mortality and changes in SOFA scores. Results showed the DAM group with a shorter hospital stay (7.08 vs 10.70 days), markedly lower mortality (6.58% vs 25.68%), and a greater improvement in organ function (mean SOFA change −4.63 vs +1.88). The findings suggest that a structured, pharmacist-driven documentation tool can streamline identification and management of drug-related problems, enhancing multidisciplinary communication and potentially improving patient safety and outcomes. The discussion highlights implications for integrating DAM with electronic health records and decision support, the importance of training and institutional support, and considerations about generalizability given the study’s two-center setting. This episode synthesizes how structured medication review tools may advance ICU pharmacotherapy and reduce variability in care.]]>
      </description>
      <content:encoded>
        <![CDATA[Join PACULit as we unpack a randomized clinical trial evaluating a drug-related problem oriented medical record (DAM) used during medication reviews for critically ill patients. The study, conducted in two Brazilian ICUs, randomized 150 adults likely to require mechanical ventilation or with organ dysfunction to DAM-enabled medication review versus standard practice. Primary outcome was hospital length of stay; key secondary outcomes included in-hospital mortality and changes in SOFA scores. Results showed the DAM group with a shorter hospital stay (7.08 vs 10.70 days), markedly lower mortality (6.58% vs 25.68%), and a greater improvement in organ function (mean SOFA change −4.63 vs +1.88). The findings suggest that a structured, pharmacist-driven documentation tool can streamline identification and management of drug-related problems, enhancing multidisciplinary communication and potentially improving patient safety and outcomes. The discussion highlights implications for integrating DAM with electronic health records and decision support, the importance of training and institutional support, and considerations about generalizability given the study’s two-center setting. This episode synthesizes how structured medication review tools may advance ICU pharmacotherapy and reduce variability in care.]]>
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      <pubDate>Wed, 03 Sep 2025 07:33:11 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/674a2c02/dea346a8.mp3" length="9679977" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>605</itunes:duration>
      <itunes:summary>
        <![CDATA[Join PACULit as we unpack a randomized clinical trial evaluating a drug-related problem oriented medical record (DAM) used during medication reviews for critically ill patients. The study, conducted in two Brazilian ICUs, randomized 150 adults likely to require mechanical ventilation or with organ dysfunction to DAM-enabled medication review versus standard practice. Primary outcome was hospital length of stay; key secondary outcomes included in-hospital mortality and changes in SOFA scores. Results showed the DAM group with a shorter hospital stay (7.08 vs 10.70 days), markedly lower mortality (6.58% vs 25.68%), and a greater improvement in organ function (mean SOFA change −4.63 vs +1.88). The findings suggest that a structured, pharmacist-driven documentation tool can streamline identification and management of drug-related problems, enhancing multidisciplinary communication and potentially improving patient safety and outcomes. The discussion highlights implications for integrating DAM with electronic health records and decision support, the importance of training and institutional support, and considerations about generalizability given the study’s two-center setting. This episode synthesizes how structured medication review tools may advance ICU pharmacotherapy and reduce variability in care.]]>
      </itunes:summary>
      <itunes:keywords>drug-related problem oriented medical record, DAM, drug-related problems, ICU, intensive care unit, critical care, pharmacist interventions, medication review, randomized controlled trial, hospital length of stay, SOFA score, mortality, Brazil, structured documentation, clinical decision support, electronic health records, drug safety, polypharmacy, organ dysfunction</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/674a2c02/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Association Between Rewarming Rate and Survival and Neurologic Outcome of Accidental Hypothermia summary</title>
      <itunes:title>Association Between Rewarming Rate and Survival and Neurologic Outcome of Accidental Hypothermia summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/e979e381</link>
      <description>
        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Wed, 03 Sep 2025 07:33:04 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/e979e381/73d243ba.mp3" length="8831938" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>552</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>accidental hypothermia, rewarming rate, ECMO, extracorporeal life support, Critical Care Medicine, Hara 2025, observational cohort, cardiac arrest, non-arrest, in-hospital survival, neurologic outcome, electrolyte disturbances, arrhythmias, hemodynamic instability, coagulopathy, prehospital care, temperature targets, 1-2 C/hour</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/e979e381/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Early fluid balance and mortality following extracorporeal cardiopulmonary resuscitation a high volume single center study summary</title>
      <itunes:title>Early fluid balance and mortality following extracorporeal cardiopulmonary resuscitation a high volume single center study summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">6a2884f8-b287-40db-8280-46498a9f905a</guid>
      <link>https://share.transistor.fm/s/5549e866</link>
      <description>
        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Wed, 03 Sep 2025 07:10:18 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/5549e866/401dd33e.mp3" length="264611" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>17</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>ECPR, VA-ECMO, extracorporeal cardiopulmonary resuscitation, fluid balance, fluid management, day 3 balance, day 7 balance, 28-day mortality, retrospective study, single-center, high-volume center, critical care, albumin, diuretics, renal replacement therapy, hemodynamics, OHCA, IHCA, multicenter trials, randomized trials</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/5549e866/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction summary</title>
      <itunes:title>Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/4eb9c853</link>
      <description>
        <![CDATA[In this PACULit episode, Britany and Seth discuss Keats et al.'s study that uses unsupervised machine learning on ICU intravenous medication data to identify pharmacophenotypes associated with fluid overload. By applying principal component analysis for dimensionality reduction and a restricted Boltzmann machine clustering algorithm to 72-hour medication records from 927 adults in a single ICU, the study reveals clusters of similar med usage patterns. One cluster (Cluster Seven), rich in continuous infusions, antibiotics, sedatives, and analgesics, showed substantially higher exposure in patients who developed fluid overload, and overall 13.7% incidence. Adding the cluster information to traditional models improved AUROC from 0.719 to 0.741 (p = 0.027). The episode covers clinical implications, limitations, and future directions, including real-time decision support and prospective multi-center validation.]]>
      </description>
      <content:encoded>
        <![CDATA[In this PACULit episode, Britany and Seth discuss Keats et al.'s study that uses unsupervised machine learning on ICU intravenous medication data to identify pharmacophenotypes associated with fluid overload. By applying principal component analysis for dimensionality reduction and a restricted Boltzmann machine clustering algorithm to 72-hour medication records from 927 adults in a single ICU, the study reveals clusters of similar med usage patterns. One cluster (Cluster Seven), rich in continuous infusions, antibiotics, sedatives, and analgesics, showed substantially higher exposure in patients who developed fluid overload, and overall 13.7% incidence. Adding the cluster information to traditional models improved AUROC from 0.719 to 0.741 (p = 0.027). The episode covers clinical implications, limitations, and future directions, including real-time decision support and prospective multi-center validation.]]>
      </content:encoded>
      <pubDate>Wed, 03 Sep 2025 07:10:12 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/4eb9c853/f579c4a4.mp3" length="5546361" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>347</itunes:duration>
      <itunes:summary>
        <![CDATA[In this PACULit episode, Britany and Seth discuss Keats et al.'s study that uses unsupervised machine learning on ICU intravenous medication data to identify pharmacophenotypes associated with fluid overload. By applying principal component analysis for dimensionality reduction and a restricted Boltzmann machine clustering algorithm to 72-hour medication records from 927 adults in a single ICU, the study reveals clusters of similar med usage patterns. One cluster (Cluster Seven), rich in continuous infusions, antibiotics, sedatives, and analgesics, showed substantially higher exposure in patients who developed fluid overload, and overall 13.7% incidence. Adding the cluster information to traditional models improved AUROC from 0.719 to 0.741 (p = 0.027). The episode covers clinical implications, limitations, and future directions, including real-time decision support and prospective multi-center validation.]]>
      </itunes:summary>
      <itunes:keywords>unsupervised learning, pharmacophenotypes, fluid overload, ICU, medication patterns, principal component analysis, restricted Boltzmann machine, AUROC, electronic health records, critical care, continuous infusions, sedatives, analgesics, vasopressors, renal perfusion, drug interactions, real-time decision support, multi-center validation</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/4eb9c853/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Performance of broad-spectrum targeted next-generation sequencing in lower respiratory tract infections in ICU patients a prospective observational study summary</title>
      <itunes:title>Performance of broad-spectrum targeted next-generation sequencing in lower respiratory tract infections in ICU patients a prospective observational study summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/5ba7d041</link>
      <description>
        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Wed, 03 Sep 2025 07:10:05 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/5ba7d041/2a1c821e.mp3" length="8366750" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>523</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>bstNGS, broad-spectrum targeted NGS, mNGS, metagenomic NGS, ICU, LRTI, lower respiratory tract infection, bronchoalveolar lavage, BAL, hospital-acquired pneumonia, ventilator-associated pneumonia, pathogen detection, culture, diagnostic accuracy, antimicrobial stewardship, turnaround time, immunocompromised, antibiotic therapy, polymicrobial infections, cost</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/5ba7d041/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Vasopressor or advanced airway first in cardiac arrest summary</title>
      <itunes:title>Vasopressor or advanced airway first in cardiac arrest summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">41eeca8f-1c33-4721-8af8-ddbe11655e6c</guid>
      <link>https://share.transistor.fm/s/9ccff12f</link>
      <description>
        <![CDATA[In this PACULit episode, Britany and Seth analyze a secondary analysis of the Pragmatic Airway Resuscitation Trial (PART) to address whether vasopressors or advanced airway placement should come first during out-of-hospital cardiac arrest. The study found no significant differences in 72-hour survival, return of spontaneous circulation, hospital survival, or neurological outcomes between the two sequences, suggesting EMS teams can tailor their approach to the clinical context while maintaining high-quality CPR. The discussion situates PART within the broader evidence base, including AIRWAYS-2, PARAMEDIC2, and Cochrane reviews, notes methodological limitations, and highlights implications for training, protocols, and future randomized trials. The episode also emphasizes the importance of minimizing delays, improving first-pass airway success, and leveraging simulation and real-time feedback to optimize resuscitation performance.]]>
      </description>
      <content:encoded>
        <![CDATA[In this PACULit episode, Britany and Seth analyze a secondary analysis of the Pragmatic Airway Resuscitation Trial (PART) to address whether vasopressors or advanced airway placement should come first during out-of-hospital cardiac arrest. The study found no significant differences in 72-hour survival, return of spontaneous circulation, hospital survival, or neurological outcomes between the two sequences, suggesting EMS teams can tailor their approach to the clinical context while maintaining high-quality CPR. The discussion situates PART within the broader evidence base, including AIRWAYS-2, PARAMEDIC2, and Cochrane reviews, notes methodological limitations, and highlights implications for training, protocols, and future randomized trials. The episode also emphasizes the importance of minimizing delays, improving first-pass airway success, and leveraging simulation and real-time feedback to optimize resuscitation performance.]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:54:06 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/9ccff12f/a9fefd88.mp3" length="10260941" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>642</itunes:duration>
      <itunes:summary>
        <![CDATA[In this PACULit episode, Britany and Seth analyze a secondary analysis of the Pragmatic Airway Resuscitation Trial (PART) to address whether vasopressors or advanced airway placement should come first during out-of-hospital cardiac arrest. The study found no significant differences in 72-hour survival, return of spontaneous circulation, hospital survival, or neurological outcomes between the two sequences, suggesting EMS teams can tailor their approach to the clinical context while maintaining high-quality CPR. The discussion situates PART within the broader evidence base, including AIRWAYS-2, PARAMEDIC2, and Cochrane reviews, notes methodological limitations, and highlights implications for training, protocols, and future randomized trials. The episode also emphasizes the importance of minimizing delays, improving first-pass airway success, and leveraging simulation and real-time feedback to optimize resuscitation performance.]]>
      </itunes:summary>
      <itunes:keywords>out-of-hospital cardiac arrest, OHCA, vasopressors, epinephrine, airway management, advanced airway, endotracheal intubation, laryngeal tube, PART trial, PART secondary analysis, airway first, vasopressor first, 72-hour survival, return of spontaneous circulation, ROSC, neuro outcomes, CPR quality, chest compression fraction, EMS protocols, prehospital resuscitation, AIRWAYS-2, PARAMEDIC2, randomized trials, observational study, clinical guidelines</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/9ccff12f/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Intraosseous vs intravenous access during out of hospital cardiac arrest a Bayesian secondary analysis of a randomised clinical trial summary</title>
      <itunes:title>Intraosseous vs intravenous access during out of hospital cardiac arrest a Bayesian secondary analysis of a randomised clinical trial summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/5c3b0f2a</link>
      <description>
        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:52:21 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/5c3b0f2a/b1800c7e.mp3" length="8679801" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>543</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>intraosseous, intravenous, OHCA, out-of-hospital cardiac arrest, vascular access, Bayesian analysis, IVIO trial, randomized trial, resuscitation, sustained ROSC, 30-day survival, Cerebral Performance Category, EMS training, prehospital, critical care</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/5c3b0f2a/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Effects of very early hyperoxemia on neurologic outcome after out-of-hospital cardiac arrest A secondary analysis of the TTM2 trial summary</title>
      <itunes:title>Effects of very early hyperoxemia on neurologic outcome after out-of-hospital cardiac arrest A secondary analysis of the TTM2 trial summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">cf603997-648c-4fb1-9673-2d2145a272c1</guid>
      <link>https://share.transistor.fm/s/209dc219</link>
      <description>
        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:47:51 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/209dc219/ad1b7d55.mp3" length="17179" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>2</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>OHCA, out-of-hospital cardiac arrest, TTM2 trial, hyperoxemia, PaO2, oxygen titration, post-resuscitation care, neurooutcome, modified Rankin Scale, six months, logistic regression, arterial blood gas, oxygen targets, neuroprotection, oxidative stress, ICU, ischemia-reperfusion injury</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/209dc219/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Antibiotic De-Escalation Practices in the Intensive Care Unit A Multicenter Observational Study summary</title>
      <itunes:title>Antibiotic De-Escalation Practices in the Intensive Care Unit A Multicenter Observational Study summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">c7dc9f9d-db85-4b84-a118-3300581e25e8</guid>
      <link>https://share.transistor.fm/s/a03598a9</link>
      <description>
        <![CDATA[{
  "episode_description": "PACUPod – PACULit Daily Literature Update\nEpisode: Antibiotic De-Escalation in the ICU – A Multicenter Observational Study\nIn this episode, we review the multicenter observational study “Antibiotic De-Escalation Practices in the Intensive Care Unit: A Multicenter Observational Study” by Patanwala, Abu Sardaneh, Alffenaar, and colleagues, published in the Annals of Pharmacotherapy (April 2025; PMID 39192570). We summarize what antibiotic de-escalation (ADE) is, the study design and context, and the key findings: ADE is applied variably across ICUs, but timely ADE reduces antibiotic exposure without harming patient outcomes. We discuss the identified barriers to consistent ADE—delayed culture results and clinician concerns about safety—and the positive association between rapid diagnostics and timely ADE decisions. The episode connects these findings to prior literature (Kollef et al., 2018; Smith et al., 2023; Jones et al., 2021; Brown et al., 2022; Green et al., 2024) and highlights clinical implications for critical care pharmacists: champion timely ADE, leverage rapid diagnostics, monitor culture results, address safety concerns, and participate actively in]]>
      </description>
      <content:encoded>
        <![CDATA[{
  "episode_description": "PACUPod – PACULit Daily Literature Update\nEpisode: Antibiotic De-Escalation in the ICU – A Multicenter Observational Study\nIn this episode, we review the multicenter observational study “Antibiotic De-Escalation Practices in the Intensive Care Unit: A Multicenter Observational Study” by Patanwala, Abu Sardaneh, Alffenaar, and colleagues, published in the Annals of Pharmacotherapy (April 2025; PMID 39192570). We summarize what antibiotic de-escalation (ADE) is, the study design and context, and the key findings: ADE is applied variably across ICUs, but timely ADE reduces antibiotic exposure without harming patient outcomes. We discuss the identified barriers to consistent ADE—delayed culture results and clinician concerns about safety—and the positive association between rapid diagnostics and timely ADE decisions. The episode connects these findings to prior literature (Kollef et al., 2018; Smith et al., 2023; Jones et al., 2021; Brown et al., 2022; Green et al., 2024) and highlights clinical implications for critical care pharmacists: champion timely ADE, leverage rapid diagnostics, monitor culture results, address safety concerns, and participate actively in]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:47:45 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/a03598a9/0738c809.mp3" length="5832245" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>365</itunes:duration>
      <itunes:summary>
        <![CDATA[{
  "episode_description": "PACUPod – PACULit Daily Literature Update\nEpisode: Antibiotic De-Escalation in the ICU – A Multicenter Observational Study\nIn this episode, we review the multicenter observational study “Antibiotic De-Escalation Practices in the Intensive Care Unit: A Multicenter Observational Study” by Patanwala, Abu Sardaneh, Alffenaar, and colleagues, published in the Annals of Pharmacotherapy (April 2025; PMID 39192570). We summarize what antibiotic de-escalation (ADE) is, the study design and context, and the key findings: ADE is applied variably across ICUs, but timely ADE reduces antibiotic exposure without harming patient outcomes. We discuss the identified barriers to consistent ADE—delayed culture results and clinician concerns about safety—and the positive association between rapid diagnostics and timely ADE decisions. The episode connects these findings to prior literature (Kollef et al., 2018; Smith et al., 2023; Jones et al., 2021; Brown et al., 2022; Green et al., 2024) and highlights clinical implications for critical care pharmacists: champion timely ADE, leverage rapid diagnostics, monitor culture results, address safety concerns, and participate actively in]]>
      </itunes:summary>
      <itunes:keywords>{
  "episode_description": "PACUPod – PACULit Daily Literature Update\nEpisode: Antibiotic De-Escalation in the ICU – A Multicenter Observational Study\nIn this episode, we review the multicenter observational study “Antibiotic De-Escalation Practices in the Intensive Care Unit: A Multicenter Observational Study” by Patanwala, Abu Sardaneh, Alffenaar, and colleagues, published in the Annals of Pharmacotherapy (April 2025; PMID 39192570). We summarize what antibiotic de-escalation (ADE) is, the study design and context, and the key findings: ADE is applied variably across ICUs, but timely ADE reduces antibiotic exposure without harming patient outcomes. We discuss the identified barriers to consistent ADE—delayed culture results and clinician concerns about safety—and the positive association between rapid diagnostics and timely ADE decisions. The episode connects these findings to prior literature (Kollef et al., 2018; Smith et al., 2023; Jones et al., 2021; Brown et al., 2022; Green et al., 2024) and highlights clinical implications for critical care pharmacists: champion timely ADE, leverage rapid diagnostics, monitor culture results, address safety concerns, and participate actively in</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/a03598a9/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Stress hyperglycemia ratio as a biomarker for early mortality risk stratification in cardiovascular disease a propensity matched analysis summary</title>
      <itunes:title>Stress hyperglycemia ratio as a biomarker for early mortality risk stratification in cardiovascular disease a propensity matched analysis summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">211d2040-f776-4e46-b81a-08bf65e13fa3</guid>
      <link>https://share.transistor.fm/s/c69760c4</link>
      <description>
        <![CDATA[{"episode_description":"PACULit Daily Literature Update: Stress hyperglycemia ratio as a biomarker for early mortality risk stratification in cardiovascular disease — a propensity matched analysis. In this episode we review Lei and colleagues’ retrospective cohort study using the MIMIC-IV database (n=3,352) to evaluate whether the stress hyperglycemia ratio (SHR) can help predict early mortality in critically ill patients with cardiovascular disease. SHR was analyzed in quartiles, with propensity score matching yielding 670 matched pairs. Primary outcomes included in-hospital, 28-day, 90-day, and 365-day mortality. Key findings show higher SHR quartiles associate with greater comorbidity and illness severity; AKI was more prevalent in the highest SHR quartile (84.6% vs 79.7%). In unadjusted analyses, the highest SHR quartile (Q4) had markedly higher mortality (in-hospital 16.3% vs 5.1–6.4%; 365-day 29.2% vs 15.7–16.9%). Restricted cubic spline analysis revealed a U-shaped mortality risk with an optimal SHR cutoff of 1.355. After propensity matching, SHR remained linked to early mortality: in-hospital HR 2.12 (95% CI 1.22–3.67) and 28-day HR 1.86 (95% CI 1.10–3.14). Importantly, SHR did not independently predict longer-term mortality after adjustment (90-day and 365-day). Predictive performance showed a modest pre-matching improvement in short-term mortality prediction (OASIS AUC up by 0.034 for in-hospital mortality); this benefit diminished after matching and did not]]>
      </description>
      <content:encoded>
        <![CDATA[{"episode_description":"PACULit Daily Literature Update: Stress hyperglycemia ratio as a biomarker for early mortality risk stratification in cardiovascular disease — a propensity matched analysis. In this episode we review Lei and colleagues’ retrospective cohort study using the MIMIC-IV database (n=3,352) to evaluate whether the stress hyperglycemia ratio (SHR) can help predict early mortality in critically ill patients with cardiovascular disease. SHR was analyzed in quartiles, with propensity score matching yielding 670 matched pairs. Primary outcomes included in-hospital, 28-day, 90-day, and 365-day mortality. Key findings show higher SHR quartiles associate with greater comorbidity and illness severity; AKI was more prevalent in the highest SHR quartile (84.6% vs 79.7%). In unadjusted analyses, the highest SHR quartile (Q4) had markedly higher mortality (in-hospital 16.3% vs 5.1–6.4%; 365-day 29.2% vs 15.7–16.9%). Restricted cubic spline analysis revealed a U-shaped mortality risk with an optimal SHR cutoff of 1.355. After propensity matching, SHR remained linked to early mortality: in-hospital HR 2.12 (95% CI 1.22–3.67) and 28-day HR 1.86 (95% CI 1.10–3.14). Importantly, SHR did not independently predict longer-term mortality after adjustment (90-day and 365-day). Predictive performance showed a modest pre-matching improvement in short-term mortality prediction (OASIS AUC up by 0.034 for in-hospital mortality); this benefit diminished after matching and did not]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:47:06 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/c69760c4/90b8e68a.mp3" length="5741548" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>359</itunes:duration>
      <itunes:summary>
        <![CDATA[{"episode_description":"PACULit Daily Literature Update: Stress hyperglycemia ratio as a biomarker for early mortality risk stratification in cardiovascular disease — a propensity matched analysis. In this episode we review Lei and colleagues’ retrospective cohort study using the MIMIC-IV database (n=3,352) to evaluate whether the stress hyperglycemia ratio (SHR) can help predict early mortality in critically ill patients with cardiovascular disease. SHR was analyzed in quartiles, with propensity score matching yielding 670 matched pairs. Primary outcomes included in-hospital, 28-day, 90-day, and 365-day mortality. Key findings show higher SHR quartiles associate with greater comorbidity and illness severity; AKI was more prevalent in the highest SHR quartile (84.6% vs 79.7%). In unadjusted analyses, the highest SHR quartile (Q4) had markedly higher mortality (in-hospital 16.3% vs 5.1–6.4%; 365-day 29.2% vs 15.7–16.9%). Restricted cubic spline analysis revealed a U-shaped mortality risk with an optimal SHR cutoff of 1.355. After propensity matching, SHR remained linked to early mortality: in-hospital HR 2.12 (95% CI 1.22–3.67) and 28-day HR 1.86 (95% CI 1.10–3.14). Importantly, SHR did not independently predict longer-term mortality after adjustment (90-day and 365-day). Predictive performance showed a modest pre-matching improvement in short-term mortality prediction (OASIS AUC up by 0.034 for in-hospital mortality); this benefit diminished after matching and did not]]>
      </itunes:summary>
      <itunes:keywords>{"episode_description":"PACULit Daily Literature Update: Stress hyperglycemia ratio as a biomarker for early mortality risk stratification in cardiovascular disease — a propensity matched analysis. In this episode we review Lei and colleagues’ retrospective cohort study using the MIMIC-IV database (n=3,352) to evaluate whether the stress hyperglycemia ratio (SHR) can help predict early mortality in critically ill patients with cardiovascular disease. SHR was analyzed in quartiles, with propensity score matching yielding 670 matched pairs. Primary outcomes included in-hospital, 28-day, 90-day, and 365-day mortality. Key findings show higher SHR quartiles associate with greater comorbidity and illness severity; AKI was more prevalent in the highest SHR quartile (84.6% vs 79.7%). In unadjusted analyses, the highest SHR quartile (Q4) had markedly higher mortality (in-hospital 16.3% vs 5.1–6.4%; 365-day 29.2% vs 15.7–16.9%). Restricted cubic spline analysis revealed a U-shaped mortality risk with an optimal SHR cutoff of 1.355. After propensity matching, SHR remained linked to early mortality: in-hospital HR 2.12 (95% CI 1.22–3.67) and 28-day HR 1.86 (95% CI 1.10–3.14). Importantly, SHR did not independently predict longer-term mortality after adjustment (90-day and 365-day). Predictive performance showed a modest pre-matching improvement in short-term mortality prediction (OASIS AUC up by 0.034 for in-hospital mortality); this benefit diminished after matching and did not</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/c69760c4/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Evaluation of Stress Dose Hydrocortisone Tapers in Septic Shock summary</title>
      <itunes:title>Evaluation of Stress Dose Hydrocortisone Tapers in Septic Shock summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">7a040218-2da5-4714-bcf2-bc6116d9f295</guid>
      <link>https://share.transistor.fm/s/d69c93e1</link>
      <description>
        <![CDATA[{
  "episode_title": "PACUPod: Stress Dose Hydrocortisone Tapers in Septic Shock – Retrospective Cohort Review",
  "episode_description": "AI-powered literature briefing from PACUPod. This episode reviews a retrospective cohort study published in Hosp Pharm by Gilchrist et al., evaluating how stress-dose hydrocortisone tapers were used in 276 ICU patients with septic shock between 2020 and 2023. Key findings: about half of patients underwent a taper, with the most common method being reduced dosing frequency (56.8%). At 24 hours after taper initiation, vasopressor requirements were higher in the taper group (37.4% vs 21.3%; P = 0.004); at 48 hours, the difference was not statistically significant (20.3% vs 12.9%; P = 0.14). The taper group showed decreased hospital mortality (OR 0.55, 95% CI 0.33–0.92) and ICU mortality (OR 0.47, 95% CI 0.27–0.81) but longer ICU length of stay (OR 1.04, 95% CI 1.02–1.06) and longer duration of mechanical ventilation (OR 1.08, 95% CI 1.03–1.12). The episode situates these findings within the broader context of stress-dose corticosteroids in septic shock, noting meta-analytic benefits for short-term mortality and shock reversal but risks such as hyperglycemia and neuromuscular weakness. Discussion covers timing (early vs late hydrocortisone) and discontinuation strategies (abrupt vs taper), highlighting substantial practice variability and the need for standardized protocols and prospective research. Limitations include the retrospective design and generalizability concerns. Practical takeaways for critical care pharmacists emphasize careful monitoring during taper, balancing short-term hemodynamics with potential]]>
      </description>
      <content:encoded>
        <![CDATA[{
  "episode_title": "PACUPod: Stress Dose Hydrocortisone Tapers in Septic Shock – Retrospective Cohort Review",
  "episode_description": "AI-powered literature briefing from PACUPod. This episode reviews a retrospective cohort study published in Hosp Pharm by Gilchrist et al., evaluating how stress-dose hydrocortisone tapers were used in 276 ICU patients with septic shock between 2020 and 2023. Key findings: about half of patients underwent a taper, with the most common method being reduced dosing frequency (56.8%). At 24 hours after taper initiation, vasopressor requirements were higher in the taper group (37.4% vs 21.3%; P = 0.004); at 48 hours, the difference was not statistically significant (20.3% vs 12.9%; P = 0.14). The taper group showed decreased hospital mortality (OR 0.55, 95% CI 0.33–0.92) and ICU mortality (OR 0.47, 95% CI 0.27–0.81) but longer ICU length of stay (OR 1.04, 95% CI 1.02–1.06) and longer duration of mechanical ventilation (OR 1.08, 95% CI 1.03–1.12). The episode situates these findings within the broader context of stress-dose corticosteroids in septic shock, noting meta-analytic benefits for short-term mortality and shock reversal but risks such as hyperglycemia and neuromuscular weakness. Discussion covers timing (early vs late hydrocortisone) and discontinuation strategies (abrupt vs taper), highlighting substantial practice variability and the need for standardized protocols and prospective research. Limitations include the retrospective design and generalizability concerns. Practical takeaways for critical care pharmacists emphasize careful monitoring during taper, balancing short-term hemodynamics with potential]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:46:59 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/d69c93e1/bc80da09.mp3" length="6171628" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>386</itunes:duration>
      <itunes:summary>
        <![CDATA[{
  "episode_title": "PACUPod: Stress Dose Hydrocortisone Tapers in Septic Shock – Retrospective Cohort Review",
  "episode_description": "AI-powered literature briefing from PACUPod. This episode reviews a retrospective cohort study published in Hosp Pharm by Gilchrist et al., evaluating how stress-dose hydrocortisone tapers were used in 276 ICU patients with septic shock between 2020 and 2023. Key findings: about half of patients underwent a taper, with the most common method being reduced dosing frequency (56.8%). At 24 hours after taper initiation, vasopressor requirements were higher in the taper group (37.4% vs 21.3%; P = 0.004); at 48 hours, the difference was not statistically significant (20.3% vs 12.9%; P = 0.14). The taper group showed decreased hospital mortality (OR 0.55, 95% CI 0.33–0.92) and ICU mortality (OR 0.47, 95% CI 0.27–0.81) but longer ICU length of stay (OR 1.04, 95% CI 1.02–1.06) and longer duration of mechanical ventilation (OR 1.08, 95% CI 1.03–1.12). The episode situates these findings within the broader context of stress-dose corticosteroids in septic shock, noting meta-analytic benefits for short-term mortality and shock reversal but risks such as hyperglycemia and neuromuscular weakness. Discussion covers timing (early vs late hydrocortisone) and discontinuation strategies (abrupt vs taper), highlighting substantial practice variability and the need for standardized protocols and prospective research. Limitations include the retrospective design and generalizability concerns. Practical takeaways for critical care pharmacists emphasize careful monitoring during taper, balancing short-term hemodynamics with potential]]>
      </itunes:summary>
      <itunes:keywords>hydrocortisone, stress-dose steroids, septic shock, tapering, vasopressors, ICU mortality, hospital mortality, ICU length of stay, mechanical ventilation, retrospective cohort, critical care pharmacy, steroid discontinuation, drug tapering practices, Hosp Pharm, sepsis management, guideline development</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/d69c93e1/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Evaluation of Etomidate Use and Association with Mortality Compared with Ketamine among Critically Ill Patients summary</title>
      <itunes:title>Evaluation of Etomidate Use and Association with Mortality Compared with Ketamine among Critically Ill Patients summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">4b9a3c81-c4ab-43aa-9939-7b2e01907aaf</guid>
      <link>https://share.transistor.fm/s/6c847882</link>
      <description>
        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:46:52 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/6c847882/b3619ce0.mp3" length="5484921" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>343</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>etomidate, ketamine, invasive mechanical ventilation, ICU, critical care pharmacy, adrenal suppression, corticosteroids, rapid sequence intubation, propensity score matching, Premier Healthcare Database, observational study, hospital mortality, mortality risk, subgroup analyses, vasopressor needs, hemodynamic stability, induction agent, clinical implications, demographics, systematic reviews, meta-analysis</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/6c847882/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Fludrocortisone to treat patients with aneurysmal subarachnoid haemorrhage Protocol for an international phase 3 randomised placebocontrolled multicentre trial summary</title>
      <itunes:title>Fludrocortisone to treat patients with aneurysmal subarachnoid haemorrhage Protocol for an international phase 3 randomised placebocontrolled multicentre trial summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">231bebe5-3819-4e2b-9a2d-5d7937e670f1</guid>
      <link>https://share.transistor.fm/s/d211c8c2</link>
      <description>
        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:46:45 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/d211c8c2/e0ace593.mp3" length="5568513" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>349</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>fludrocortisone, aneurysmal subarachnoid haemorrhage, aSAH, hyponatremia, cerebral salt wasting, phase III trial, randomized, placebo-controlled, multicenter, international, critical care pharmacy, delayed cerebral ischemia, death or disability, natriuresis, mineralocorticoid, protocol, Critical Care Resuscitation</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/d211c8c2/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Inhaled isoflurane for sedation of mechanically ventilated children in intensive care (IsoCOMFORT): a multicentre, randomised, active-control, assessor-masked, non-inferiority phase 3 trial summary</title>
      <itunes:title>Inhaled isoflurane for sedation of mechanically ventilated children in intensive care (IsoCOMFORT): a multicentre, randomised, active-control, assessor-masked, non-inferiority phase 3 trial summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">513adc2d-c344-4b09-bb24-d318ed4cba71</guid>
      <link>https://share.transistor.fm/s/563559c8</link>
      <description>
        <![CDATA[{
  "podcast": "PACUPod",
  "episode_title": "IsoCOMFORT: Inhaled isoflurane for sedation of mechanically ventilated children in intensive care",
  "episode_description": "A concise AI-assisted overview of the IsoCOMFORT trial (Lancet Respiratory Medicine) comparing inhaled isoflurane sedation versus intravenous midazolam in mechanically ventilated children. The episode covers study design, non-inferiority for sedation efficacy, potential benefits (opioid- and muscle relaxant-sparing effects, cardio-protective/anti-inflammatory properties, bronchodilation, minimal organ metabolism), safety profile, implementation considerations (monitoring of gas exposure and ventilation), limitations, and implications for pediatric intensive care pharmacology.",
  "study_details": {
    "design": "Multicentre, randomized, active-control, assessor-masked, non-inferiority phase 3 trial",
    "population": "Mechanically ventilated children in the pediatric intensive care unit",
    "interventions_comparison": "Inhaled isoflurane sedation vs intravenous midazolam",
    "primary_outcome": "Sedation efficacy (non-inferiority)"
  },
  "key_findings": [
    "Inhaled isoflurane achieved non-inferior sedation efficacy compared with intravenous midazolam",
    "Reduced opioid and muscle relaxant use with inhaled isoflurane",
    "Potential cardio-protective, anti-inflammatory, and bronchodilator effects",
    "Minimal hepatic and renal metabolism of isoflurane",
    "Safety profile comparable between groups"
  ],
  "clinical_implications": [
    "Consider inhaled isoflurane as a viable alternative sedative in PICUs",
    "Potential for faster recovery and opioid-sparing benefits",
    "Necessity for protocols monitoring anesthetic gas exposure and ventilation",
    "Importance of team education on inhaled-sedation workflows"
  ],
  "limitations": [
    "Full safety data not publicly available at abstract publication time",
    "Non-inferiority design may miss very small differences",
    "Findings are in children; extrapolation to adults is uncertain"
  ],
  "context_and_references": [
    "Jerath et al., 2025: systematic review of inhaled sedation across RCTs (reduced awakening/extubation times, no more nausea/vomiting)",
    "Basile et al., 2023: pediatric ICU narrative review showing reduced opioid/muscle relaxant use",
    "Geddes et al., 2001: delirium risk with prolonged midazolam",
    "Jabaudon et al., 2017: cardio-protective/anti-inflammatory effects of inhaled volatile anesthetics",
    "Koutsogiannaki et al., 2021: volatile anesthetics are minimally metabolized"
  ],
  "episode_tagline": "Inhal]]>
      </description>
      <content:encoded>
        <![CDATA[{
  "podcast": "PACUPod",
  "episode_title": "IsoCOMFORT: Inhaled isoflurane for sedation of mechanically ventilated children in intensive care",
  "episode_description": "A concise AI-assisted overview of the IsoCOMFORT trial (Lancet Respiratory Medicine) comparing inhaled isoflurane sedation versus intravenous midazolam in mechanically ventilated children. The episode covers study design, non-inferiority for sedation efficacy, potential benefits (opioid- and muscle relaxant-sparing effects, cardio-protective/anti-inflammatory properties, bronchodilation, minimal organ metabolism), safety profile, implementation considerations (monitoring of gas exposure and ventilation), limitations, and implications for pediatric intensive care pharmacology.",
  "study_details": {
    "design": "Multicentre, randomized, active-control, assessor-masked, non-inferiority phase 3 trial",
    "population": "Mechanically ventilated children in the pediatric intensive care unit",
    "interventions_comparison": "Inhaled isoflurane sedation vs intravenous midazolam",
    "primary_outcome": "Sedation efficacy (non-inferiority)"
  },
  "key_findings": [
    "Inhaled isoflurane achieved non-inferior sedation efficacy compared with intravenous midazolam",
    "Reduced opioid and muscle relaxant use with inhaled isoflurane",
    "Potential cardio-protective, anti-inflammatory, and bronchodilator effects",
    "Minimal hepatic and renal metabolism of isoflurane",
    "Safety profile comparable between groups"
  ],
  "clinical_implications": [
    "Consider inhaled isoflurane as a viable alternative sedative in PICUs",
    "Potential for faster recovery and opioid-sparing benefits",
    "Necessity for protocols monitoring anesthetic gas exposure and ventilation",
    "Importance of team education on inhaled-sedation workflows"
  ],
  "limitations": [
    "Full safety data not publicly available at abstract publication time",
    "Non-inferiority design may miss very small differences",
    "Findings are in children; extrapolation to adults is uncertain"
  ],
  "context_and_references": [
    "Jerath et al., 2025: systematic review of inhaled sedation across RCTs (reduced awakening/extubation times, no more nausea/vomiting)",
    "Basile et al., 2023: pediatric ICU narrative review showing reduced opioid/muscle relaxant use",
    "Geddes et al., 2001: delirium risk with prolonged midazolam",
    "Jabaudon et al., 2017: cardio-protective/anti-inflammatory effects of inhaled volatile anesthetics",
    "Koutsogiannaki et al., 2021: volatile anesthetics are minimally metabolized"
  ],
  "episode_tagline": "Inhal]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:46:39 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/563559c8/b6dc99b5.mp3" length="4774808" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>299</itunes:duration>
      <itunes:summary>
        <![CDATA[{
  "podcast": "PACUPod",
  "episode_title": "IsoCOMFORT: Inhaled isoflurane for sedation of mechanically ventilated children in intensive care",
  "episode_description": "A concise AI-assisted overview of the IsoCOMFORT trial (Lancet Respiratory Medicine) comparing inhaled isoflurane sedation versus intravenous midazolam in mechanically ventilated children. The episode covers study design, non-inferiority for sedation efficacy, potential benefits (opioid- and muscle relaxant-sparing effects, cardio-protective/anti-inflammatory properties, bronchodilation, minimal organ metabolism), safety profile, implementation considerations (monitoring of gas exposure and ventilation), limitations, and implications for pediatric intensive care pharmacology.",
  "study_details": {
    "design": "Multicentre, randomized, active-control, assessor-masked, non-inferiority phase 3 trial",
    "population": "Mechanically ventilated children in the pediatric intensive care unit",
    "interventions_comparison": "Inhaled isoflurane sedation vs intravenous midazolam",
    "primary_outcome": "Sedation efficacy (non-inferiority)"
  },
  "key_findings": [
    "Inhaled isoflurane achieved non-inferior sedation efficacy compared with intravenous midazolam",
    "Reduced opioid and muscle relaxant use with inhaled isoflurane",
    "Potential cardio-protective, anti-inflammatory, and bronchodilator effects",
    "Minimal hepatic and renal metabolism of isoflurane",
    "Safety profile comparable between groups"
  ],
  "clinical_implications": [
    "Consider inhaled isoflurane as a viable alternative sedative in PICUs",
    "Potential for faster recovery and opioid-sparing benefits",
    "Necessity for protocols monitoring anesthetic gas exposure and ventilation",
    "Importance of team education on inhaled-sedation workflows"
  ],
  "limitations": [
    "Full safety data not publicly available at abstract publication time",
    "Non-inferiority design may miss very small differences",
    "Findings are in children; extrapolation to adults is uncertain"
  ],
  "context_and_references": [
    "Jerath et al., 2025: systematic review of inhaled sedation across RCTs (reduced awakening/extubation times, no more nausea/vomiting)",
    "Basile et al., 2023: pediatric ICU narrative review showing reduced opioid/muscle relaxant use",
    "Geddes et al., 2001: delirium risk with prolonged midazolam",
    "Jabaudon et al., 2017: cardio-protective/anti-inflammatory effects of inhaled volatile anesthetics",
    "Koutsogiannaki et al., 2021: volatile anesthetics are minimally metabolized"
  ],
  "episode_tagline": "Inhal]]>
      </itunes:summary>
      <itunes:keywords>{
  "podcast": "PACUPod",
  "episode_title": "IsoCOMFORT: Inhaled isoflurane for sedation of mechanically ventilated children in intensive care",
  "episode_description": "A concise AI-assisted overview of the IsoCOMFORT trial (Lancet Respiratory Medicine) comparing inhaled isoflurane sedation versus intravenous midazolam in mechanically ventilated children. The episode covers study design, non-inferiority for sedation efficacy, potential benefits (opioid- and muscle relaxant-sparing effects, cardio-protective/anti-inflammatory properties, bronchodilation, minimal organ metabolism), safety profile, implementation considerations (monitoring of gas exposure and ventilation), limitations, and implications for pediatric intensive care pharmacology.",
  "study_details": {
    "design": "Multicentre, randomized, active-control, assessor-masked, non-inferiority phase 3 trial",
    "population": "Mechanically ventilated children in the pediatric intensive care unit",
    "interventions_comparison": "Inhaled isoflurane sedation vs intravenous midazolam",
    "primary_outcome": "Sedation efficacy (non-inferiority)"
  },
  "key_findings": [
    "Inhaled isoflurane achieved non-inferior sedation efficacy compared with intravenous midazolam",
    "Reduced opioid and muscle relaxant use with inhaled isoflurane",
    "Potential cardio-protective, anti-inflammatory, and bronchodilator effects",
    "Minimal hepatic and renal metabolism of isoflurane",
    "Safety profile comparable between groups"
  ],
  "clinical_implications": [
    "Consider inhaled isoflurane as a viable alternative sedative in PICUs",
    "Potential for faster recovery and opioid-sparing benefits",
    "Necessity for protocols monitoring anesthetic gas exposure and ventilation",
    "Importance of team education on inhaled-sedation workflows"
  ],
  "limitations": [
    "Full safety data not publicly available at abstract publication time",
    "Non-inferiority design may miss very small differences",
    "Findings are in children; extrapolation to adults is uncertain"
  ],
  "context_and_references": [
    "Jerath et al., 2025: systematic review of inhaled sedation across RCTs (reduced awakening/extubation times, no more nausea/vomiting)",
    "Basile et al., 2023: pediatric ICU narrative review showing reduced opioid/muscle relaxant use",
    "Geddes et al., 2001: delirium risk with prolonged midazolam",
    "Jabaudon et al., 2017: cardio-protective/anti-inflammatory effects of inhaled volatile anesthetics",
    "Koutsogiannaki et al., 2021: volatile anesthetics are minimally metabolized"
  ],
  "episode_tagline": "Inhal</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/563559c8/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Establishing discordance rate of estimated glomerular filtration rate between serum creatinine based calculations and cystatin C based calculations in critically ill patients summary</title>
      <itunes:title>Establishing discordance rate of estimated glomerular filtration rate between serum creatinine based calculations and cystatin C based calculations in critically ill patients summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">e1f14f02-33a1-44d9-96ed-f13808eaccd4</guid>
      <link>https://share.transistor.fm/s/a13577a4</link>
      <description>
        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:46:12 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/a13577a4/5f09f106.mp3" length="5767461" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>361</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>eGFR discordance, creatinine, cystatin C, CKD-EPI, Cockcroft-Gault, critical illness, pharmacotherapy, drug dosing, renal dosing, cefepime, vancomycin, levetiracetam, piperacillin-tazobactam, retrospective study, single-center, kidney function, nephrotoxicity, critical care pharmacy</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/a13577a4/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community Acquired Pneumonia summary</title>
      <itunes:title>Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community Acquired Pneumonia summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">8454d56b-d54e-47fe-a6f5-5ccd34632f7c</guid>
      <link>https://share.transistor.fm/s/43950140</link>
      <description>
        <![CDATA[{
  "podcast": "PACUPod",
  "episode_title": "Machine Learning Accurately Predicts Need for Critical Care Support in Community-Acquired Pneumonia",
  "description": "In this PACUPod update, we summarize a retrospective observational study from Critical Care Explorations that develops machine learning models to predict the need for invasive ventilation, vasopressors, and renal replacement therapy in adults admitted with community-acquired pneumonia (CAP). Among models tested (random forest, support vector machines, extreme gradient boosting, and multilayer perceptron), the random forest classifier delivered the highest accuracy and outperformed traditional logistic regression. The derivation cohort included 2,420 COVID-19 CAP patients and 1,909 non-COVID CAP patients, with validation in separate COVID-19 CAP and two non-COVID CAP cohorts. Key predictors for ventilation and vasopressor use were fraction of inspired oxygen, Glasgow Coma Scale, and mean arterial pressure; predictors for renal replacement therapy were creatinine and potassium. The study reports AUCs ranging from 0.74 to 0.95 for the random forest models, indicating substantial predictive performance across cohorts. Contextualized within the broader ML literature on CAP and critical care triage, these findings suggest potential utility for early forecasting of ICU needs and improved medication management. Limitations include its retrospective design and potential biases related to missing data and feature selection, with no prospective assessment of clinical impact yet. Implications for critical care pharmacists include enabling earlier interventions, optimized dosing and therapy, and enhanced triage and resource allocation when integrated into clinical workflows.",
  "study": {
    "title": "Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community Acquired Pneumonia",
    "journal": "Critical Care Explorations",
    "design": "Retrospective observational study",
    "cohorts": {
      "derivationCOVID_CAP": 2420,
      "derivationNonCOVID_CAP": 1909,
      "validationCOVID_CAP": "separate COVID-19 CAP cohort",
      "validationNonCOVID_CAP": "two distinct non-COVID CAP cohorts"
    },
    "models": [
      "Random Forest Classifier",
      "Support Vector Machines",
      "Extreme Gradient Boosting",
      "Multilayer Perceptron"
    ],
    "best_model": "Random Forest Classifier",
    "performance": {
     ]]>
      </description>
      <content:encoded>
        <![CDATA[{
  "podcast": "PACUPod",
  "episode_title": "Machine Learning Accurately Predicts Need for Critical Care Support in Community-Acquired Pneumonia",
  "description": "In this PACUPod update, we summarize a retrospective observational study from Critical Care Explorations that develops machine learning models to predict the need for invasive ventilation, vasopressors, and renal replacement therapy in adults admitted with community-acquired pneumonia (CAP). Among models tested (random forest, support vector machines, extreme gradient boosting, and multilayer perceptron), the random forest classifier delivered the highest accuracy and outperformed traditional logistic regression. The derivation cohort included 2,420 COVID-19 CAP patients and 1,909 non-COVID CAP patients, with validation in separate COVID-19 CAP and two non-COVID CAP cohorts. Key predictors for ventilation and vasopressor use were fraction of inspired oxygen, Glasgow Coma Scale, and mean arterial pressure; predictors for renal replacement therapy were creatinine and potassium. The study reports AUCs ranging from 0.74 to 0.95 for the random forest models, indicating substantial predictive performance across cohorts. Contextualized within the broader ML literature on CAP and critical care triage, these findings suggest potential utility for early forecasting of ICU needs and improved medication management. Limitations include its retrospective design and potential biases related to missing data and feature selection, with no prospective assessment of clinical impact yet. Implications for critical care pharmacists include enabling earlier interventions, optimized dosing and therapy, and enhanced triage and resource allocation when integrated into clinical workflows.",
  "study": {
    "title": "Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community Acquired Pneumonia",
    "journal": "Critical Care Explorations",
    "design": "Retrospective observational study",
    "cohorts": {
      "derivationCOVID_CAP": 2420,
      "derivationNonCOVID_CAP": 1909,
      "validationCOVID_CAP": "separate COVID-19 CAP cohort",
      "validationNonCOVID_CAP": "two distinct non-COVID CAP cohorts"
    },
    "models": [
      "Random Forest Classifier",
      "Support Vector Machines",
      "Extreme Gradient Boosting",
      "Multilayer Perceptron"
    ],
    "best_model": "Random Forest Classifier",
    "performance": {
     ]]>
      </content:encoded>
      <pubDate>Tue, 02 Sep 2025 20:45:59 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/43950140/603de068.mp3" length="5942168" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>372</itunes:duration>
      <itunes:summary>
        <![CDATA[{
  "podcast": "PACUPod",
  "episode_title": "Machine Learning Accurately Predicts Need for Critical Care Support in Community-Acquired Pneumonia",
  "description": "In this PACUPod update, we summarize a retrospective observational study from Critical Care Explorations that develops machine learning models to predict the need for invasive ventilation, vasopressors, and renal replacement therapy in adults admitted with community-acquired pneumonia (CAP). Among models tested (random forest, support vector machines, extreme gradient boosting, and multilayer perceptron), the random forest classifier delivered the highest accuracy and outperformed traditional logistic regression. The derivation cohort included 2,420 COVID-19 CAP patients and 1,909 non-COVID CAP patients, with validation in separate COVID-19 CAP and two non-COVID CAP cohorts. Key predictors for ventilation and vasopressor use were fraction of inspired oxygen, Glasgow Coma Scale, and mean arterial pressure; predictors for renal replacement therapy were creatinine and potassium. The study reports AUCs ranging from 0.74 to 0.95 for the random forest models, indicating substantial predictive performance across cohorts. Contextualized within the broader ML literature on CAP and critical care triage, these findings suggest potential utility for early forecasting of ICU needs and improved medication management. Limitations include its retrospective design and potential biases related to missing data and feature selection, with no prospective assessment of clinical impact yet. Implications for critical care pharmacists include enabling earlier interventions, optimized dosing and therapy, and enhanced triage and resource allocation when integrated into clinical workflows.",
  "study": {
    "title": "Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community Acquired Pneumonia",
    "journal": "Critical Care Explorations",
    "design": "Retrospective observational study",
    "cohorts": {
      "derivationCOVID_CAP": 2420,
      "derivationNonCOVID_CAP": 1909,
      "validationCOVID_CAP": "separate COVID-19 CAP cohort",
      "validationNonCOVID_CAP": "two distinct non-COVID CAP cohorts"
    },
    "models": [
      "Random Forest Classifier",
      "Support Vector Machines",
      "Extreme Gradient Boosting",
      "Multilayer Perceptron"
    ],
    "best_model": "Random Forest Classifier",
    "performance": {
     ]]>
      </itunes:summary>
      <itunes:keywords>{
  "podcast": "PACUPod",
  "episode_title": "Machine Learning Accurately Predicts Need for Critical Care Support in Community-Acquired Pneumonia",
  "description": "In this PACUPod update, we summarize a retrospective observational study from Critical Care Explorations that develops machine learning models to predict the need for invasive ventilation, vasopressors, and renal replacement therapy in adults admitted with community-acquired pneumonia (CAP). Among models tested (random forest, support vector machines, extreme gradient boosting, and multilayer perceptron), the random forest classifier delivered the highest accuracy and outperformed traditional logistic regression. The derivation cohort included 2,420 COVID-19 CAP patients and 1,909 non-COVID CAP patients, with validation in separate COVID-19 CAP and two non-COVID CAP cohorts. Key predictors for ventilation and vasopressor use were fraction of inspired oxygen, Glasgow Coma Scale, and mean arterial pressure; predictors for renal replacement therapy were creatinine and potassium. The study reports AUCs ranging from 0.74 to 0.95 for the random forest models, indicating substantial predictive performance across cohorts. Contextualized within the broader ML literature on CAP and critical care triage, these findings suggest potential utility for early forecasting of ICU needs and improved medication management. Limitations include its retrospective design and potential biases related to missing data and feature selection, with no prospective assessment of clinical impact yet. Implications for critical care pharmacists include enabling earlier interventions, optimized dosing and therapy, and enhanced triage and resource allocation when integrated into clinical workflows.",
  "study": {
    "title": "Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community Acquired Pneumonia",
    "journal": "Critical Care Explorations",
    "design": "Retrospective observational study",
    "cohorts": {
      "derivationCOVID_CAP": 2420,
      "derivationNonCOVID_CAP": 1909,
      "validationCOVID_CAP": "separate COVID-19 CAP cohort",
      "validationNonCOVID_CAP": "two distinct non-COVID CAP cohorts"
    },
    "models": [
      "Random Forest Classifier",
      "Support Vector Machines",
      "Extreme Gradient Boosting",
      "Multilayer Perceptron"
    ],
    "best_model": "Random Forest Classifier",
    "performance": {
     </itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/43950140/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Respiratory syncytial virus infection in adult and paediatric patients admitted to intensive care in Australia A nationwide comparison with COVID19 summary</title>
      <itunes:title>Respiratory syncytial virus infection in adult and paediatric patients admitted to intensive care in Australia A nationwide comparison with COVID19 summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">34da6370-65d3-4e5f-aa88-60b5cf81082e</guid>
      <link>https://share.transistor.fm/s/c59fb1b6</link>
      <description>
        <![CDATA[]]>
      </description>
      <content:encoded>
        <![CDATA[]]>
      </content:encoded>
      <pubDate>Mon, 01 Sep 2025 20:28:22 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/c59fb1b6/3e3fbd82.mp3" length="8401858" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>526</itunes:duration>
      <itunes:summary>
        <![CDATA[]]>
      </itunes:summary>
      <itunes:keywords>RSV, COVID-19, ICU, Australia, Tang et al., retrospective cohort, registry data, adult patients, pediatric patients, mortality, mechanical ventilation, organ support, comorbidities, frailty, prematurity, infants, vaccination, testing, infection control, healthcare planning, long-term outcomes, post-ICU syndrome</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/c59fb1b6/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Neuromuscular Blockade Efficacy in High Elastance ARDS: Signal or Statistical Noise? summary</title>
      <itunes:title>Neuromuscular Blockade Efficacy in High Elastance ARDS: Signal or Statistical Noise? summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">2b7a3c9a-e61f-409f-8781-22382292fbcb</guid>
      <link>https://share.transistor.fm/s/9565b962</link>
      <description>
        <![CDATA[In this PACULit episode, the focus is on the efficacy of neuromuscular blocking agents (NMBAs) in ARDS, with emphasis on patients who have high respiratory system elastance. The discussion reviews pivotal trials (ACURASYS showing mortality benefit with early cisatracurium vs ROSE showing no clear survival advantage), explores how sedation depth and lung mechanics may influence outcomes, and highlights recent analyses suggesting elastance-defined subgroups might benefit from paralysis. Mechanistic rationale (improved patient-ventilator synchrony and reduced lung stress) is weighed against risks such as ICU-acquired weakness and delirium, along with practical considerations like train-of-four monitoring, dosing duration, and interactions with corticosteroids. The episode underscores a shift toward phenotype-guided therapy, the need for prospective trials targeting high-elastance ARDS, and emphasizes individualized risk–benefit assessment and multidisciplinary collaboration to optimize NMBA use.]]>
      </description>
      <content:encoded>
        <![CDATA[In this PACULit episode, the focus is on the efficacy of neuromuscular blocking agents (NMBAs) in ARDS, with emphasis on patients who have high respiratory system elastance. The discussion reviews pivotal trials (ACURASYS showing mortality benefit with early cisatracurium vs ROSE showing no clear survival advantage), explores how sedation depth and lung mechanics may influence outcomes, and highlights recent analyses suggesting elastance-defined subgroups might benefit from paralysis. Mechanistic rationale (improved patient-ventilator synchrony and reduced lung stress) is weighed against risks such as ICU-acquired weakness and delirium, along with practical considerations like train-of-four monitoring, dosing duration, and interactions with corticosteroids. The episode underscores a shift toward phenotype-guided therapy, the need for prospective trials targeting high-elastance ARDS, and emphasizes individualized risk–benefit assessment and multidisciplinary collaboration to optimize NMBA use.]]>
      </content:encoded>
      <pubDate>Sat, 16 Aug 2025 20:48:39 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/9565b962/907b6ebf.mp3" length="7551729" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>472</itunes:duration>
      <itunes:summary>
        <![CDATA[In this PACULit episode, the focus is on the efficacy of neuromuscular blocking agents (NMBAs) in ARDS, with emphasis on patients who have high respiratory system elastance. The discussion reviews pivotal trials (ACURASYS showing mortality benefit with early cisatracurium vs ROSE showing no clear survival advantage), explores how sedation depth and lung mechanics may influence outcomes, and highlights recent analyses suggesting elastance-defined subgroups might benefit from paralysis. Mechanistic rationale (improved patient-ventilator synchrony and reduced lung stress) is weighed against risks such as ICU-acquired weakness and delirium, along with practical considerations like train-of-four monitoring, dosing duration, and interactions with corticosteroids. The episode underscores a shift toward phenotype-guided therapy, the need for prospective trials targeting high-elastance ARDS, and emphasizes individualized risk–benefit assessment and multidisciplinary collaboration to optimize NMBA use.]]>
      </itunes:summary>
      <itunes:keywords>ARDS, acute respiratory distress syndrome, neuromuscular blockade, NMBA, cisatracurium, elastance, respiratory system elastance, high elastance phenotype, ventilator-induced lung injury, VILI, ACURASYS, ROSE trial, PETAL network, post hoc analysis, barotrauma, sedation depth, train-of-four monitoring, ICU-acquired weakness, corticosteroids, precision medicine, phenotype-guided therapy, meta-analysis, trial design, Markov model, baseline elastance measurement, clinical trials</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/9565b962/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Cystatin C-Guided Dosing Nomogram Improves Target Attainment for Cefepime in the Critically Ill summary</title>
      <itunes:title>Cystatin C-Guided Dosing Nomogram Improves Target Attainment for Cefepime in the Critically Ill summary</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">fb68e8aa-59f0-4840-8330-86e39f768f35</guid>
      <link>https://share.transistor.fm/s/960fed74</link>
      <description>
        <![CDATA[This PACULit episode reviews a pharmacokinetic modeling and simulation study evaluating a cystatin C–guided dosing nomogram for cefepime in critically ill adults. By integrating cystatin C–based estimates with creatinine, the dosing strategy (eGFRcr-cys) aims to improve attainment of the pharmacodynamic target—free cefepime above the MIC for 100% of the dosing interval (fT&gt;MIC)—over a 24-hour period compared with standard creatinine-based dosing. The study reports predicted 76% attainment at 24 hours versus 38% with actual dosing, a higher median predicted free AUC0-24, and a reduction in extreme AUC values from 20% to 7%, suggesting enhanced efficacy with potentially fewer toxic exposures. While Safety outcomes were not prospectively measured, the findings highlight reduced exposure variability and potential neurotoxicity risk mitigation. Limitations include reliance on predictions rather than clinical outcomes and lack of prospective validation. The episode discusses the rationale for cystatin C in critical illness, implications for dosing in patients with fluctuating renal function (including those on CRRT), practical considerations around assay availability and cost, and directions for future trials to confirm clinical benefits and feasibility of cystatin C–guided cefepime dosing.]]>
      </description>
      <content:encoded>
        <![CDATA[This PACULit episode reviews a pharmacokinetic modeling and simulation study evaluating a cystatin C–guided dosing nomogram for cefepime in critically ill adults. By integrating cystatin C–based estimates with creatinine, the dosing strategy (eGFRcr-cys) aims to improve attainment of the pharmacodynamic target—free cefepime above the MIC for 100% of the dosing interval (fT&gt;MIC)—over a 24-hour period compared with standard creatinine-based dosing. The study reports predicted 76% attainment at 24 hours versus 38% with actual dosing, a higher median predicted free AUC0-24, and a reduction in extreme AUC values from 20% to 7%, suggesting enhanced efficacy with potentially fewer toxic exposures. While Safety outcomes were not prospectively measured, the findings highlight reduced exposure variability and potential neurotoxicity risk mitigation. Limitations include reliance on predictions rather than clinical outcomes and lack of prospective validation. The episode discusses the rationale for cystatin C in critical illness, implications for dosing in patients with fluctuating renal function (including those on CRRT), practical considerations around assay availability and cost, and directions for future trials to confirm clinical benefits and feasibility of cystatin C–guided cefepime dosing.]]>
      </content:encoded>
      <pubDate>Sat, 16 Aug 2025 20:36:22 -0700</pubDate>
      <author>PACU</author>
      <enclosure url="https://media.transistor.fm/960fed74/6d5a950c.mp3" length="6415716" type="audio/mpeg"/>
      <itunes:author>PACU</itunes:author>
      <itunes:duration>401</itunes:duration>
      <itunes:summary>
        <![CDATA[This PACULit episode reviews a pharmacokinetic modeling and simulation study evaluating a cystatin C–guided dosing nomogram for cefepime in critically ill adults. By integrating cystatin C–based estimates with creatinine, the dosing strategy (eGFRcr-cys) aims to improve attainment of the pharmacodynamic target—free cefepime above the MIC for 100% of the dosing interval (fT&gt;MIC)—over a 24-hour period compared with standard creatinine-based dosing. The study reports predicted 76% attainment at 24 hours versus 38% with actual dosing, a higher median predicted free AUC0-24, and a reduction in extreme AUC values from 20% to 7%, suggesting enhanced efficacy with potentially fewer toxic exposures. While Safety outcomes were not prospectively measured, the findings highlight reduced exposure variability and potential neurotoxicity risk mitigation. Limitations include reliance on predictions rather than clinical outcomes and lack of prospective validation. The episode discusses the rationale for cystatin C in critical illness, implications for dosing in patients with fluctuating renal function (including those on CRRT), practical considerations around assay availability and cost, and directions for future trials to confirm clinical benefits and feasibility of cystatin C–guided cefepime dosing.]]>
      </itunes:summary>
      <itunes:keywords>cystatin C, cefepime, critical illness, ICU, pharmacokinetics, PK modeling, dosing nomogram, eGFRcr-cys, renal function, fT&gt;MIC, AUC0-24, neurotoxicity, beta-lactams, antibiotic dosing, creatinine-based dosing, 24-hour simulation, critical care pharmacology, CRRT considerations, prospective validation</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/960fed74/transcript.txt" type="text/plain"/>
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