<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet href="https://feeds.captivate.fm/style.xsl" type="text/xsl"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:podcast="https://podcastindex.org/namespace/1.0"><channel><atom:link href="https://feeds.captivate.fm/vetrix-neonatology/" rel="self" type="application/rss+xml"/><title><![CDATA[Vetrix Neonatology]]></title><podcast:guid>fedd8cc9-082c-5557-b3bb-adee68e62c42</podcast:guid><lastBuildDate>Tue, 06 Jan 2026 14:00:00 +0000</lastBuildDate><generator>Captivate.fm</generator><language><![CDATA[en]]></language><copyright><![CDATA[Copyright 2025 Vetrix]]></copyright><managingEditor>Vetrix</managingEditor><itunes:summary><![CDATA[Vetrix Neonatology is an AI-driven podcast that dissects contemporary neonatology papers, translating dense methods and statistics into clear, clinically focused insights for everyday practice.

Vetrix Neonatology is independent and takes time, tooling, and compute to produce. If the podcast helps you navigate neonatology literature, consider supporting it with a small monthly contribution. Your subscription directly funds hosting, AI infrastructure, and further development of Vetrix, and helps keep the podcast focused on clear, critical analysis rather than volume or hype.]]></itunes:summary><image><url>https://artwork.captivate.fm/52bcc428-d3eb-4069-a8e4-4ff013e21668/ChatGPT-Image-Dec-18-2025-from-Vetrix.jpeg</url><title>Vetrix Neonatology</title><link><![CDATA[https://vetrix-neonatology.captivate.fm]]></link></image><itunes:image href="https://artwork.captivate.fm/52bcc428-d3eb-4069-a8e4-4ff013e21668/ChatGPT-Image-Dec-18-2025-from-Vetrix.jpeg"/><itunes:owner><itunes:name>Vetrix</itunes:name></itunes:owner><itunes:author>Vetrix</itunes:author><description>Vetrix Neonatology is an AI-driven podcast that dissects contemporary neonatology papers, translating dense methods and statistics into clear, clinically focused insights for everyday practice.

Vetrix Neonatology is independent and takes time, tooling, and compute to produce. If the podcast helps you navigate neonatology literature, consider supporting it with a small monthly contribution. Your subscription directly funds hosting, AI infrastructure, and further development of Vetrix, and helps keep the podcast focused on clear, critical analysis rather than volume or hype.</description><link>https://vetrix-neonatology.captivate.fm</link><atom:link href="https://pubsubhubbub.appspot.com" rel="hub"/><itunes:subtitle><![CDATA[Where studies meet scrutiny]]></itunes:subtitle><itunes:explicit>false</itunes:explicit><itunes:type>episodic</itunes:type><itunes:category text="Health &amp; Fitness"><itunes:category text="Medicine"/></itunes:category><itunes:category text="Science"></itunes:category><podcast:locked>no</podcast:locked><podcast:medium>podcast</podcast:medium><item><title>Automated EEG Background Analysis and 2-Year Outcomes in Neonatal Hypoxic-Ischemic Encephalopathy</title><itunes:title>Automated EEG Background Analysis and 2-Year Outcomes in Neonatal Hypoxic-Ischemic Encephalopathy</itunes:title><description><![CDATA[<p>Citation:</p><p>Cornet MC, Numis AL, Wusthoff CJ, Bernardo D, Mietzsch U, Thomas C, et al. Automated EEG Background Analysis and 2-Year Outcomes in Neonatal Hypoxic-Ischemic Encephalopathy. JAMA Netw Open. 2025;8(12):e2548321. doi:10.1001/jamanetworkopen.2025.48321.</p><p>Study at a glance:</p><p>- Design and setting: Multicenter prognostic study (secondary analysis of the HEAL RCT) in 8 US academic NICUs; generalized linear mixed models with site-level random effects and leave-one-site-out cross-validation.</p><p>- Participants: 203 cooled infants ≥36 weeks with moderate–severe HIE, continuous EEG started &lt;24 h of life and lasting ≥24 h, BSN available, and 2-year follow-up; 49/203 (24%) had death or severe neurodevelopmental impairment (NDI).</p><p>- Predictors and comparators: Automated Brain State of the Newborn (BSN) scores (median at onset and at 24, 48, 72 h and overall), simple clinical variables (Apgar at 5 min, HIE severity), and expert visual EEG background classification (normal, excessively discontinuous, severely abnormal) in a 127-infant subset.</p><p>- Primary outcome: Composite of death or severe NDI at ~2 years (Bayley-III cognitive score &lt;70 and/or moderate–severe motor impairment, or death); secondary 5-level ordinal outcome (no/mild/moderate/severe NDI or death).</p><p>- Prognostic performance: Median BSN at onset alone discriminated death/severe NDI with AUROC 0.85 (95% CI 0.79–0.92); BSN at all epochs alone AUROC 0.92 (0.87–0.97). Clinical variables alone had AUROC 0.79 (0.70–0.87); adding overall BSN improved AUROC to 0.90 (0.84–0.97), and adding BSN at all epochs to clinical variables reached AUROC 0.93 (0.88–0.98). Expert EEG background alone achieved AUROC 0.90 (0.81–0.98).</p><p>- Clinical signal: Very low early BSN was strongly associated with poor outcome (median BSN &lt;25 at onset: 17/18 [94%] death/severe NDI; BSN ≥75 at onset: 3/77 [4%] death/severe NDI).</p><p>- Limitations and risk of bias: PROBAST overall high risk of bias—performance reported only from internal cross-validation (no calibration metrics or external validation), BSN requires specialized continuous EEG and analysis pipeline in high-resource NICUs, so transportability and real-world impact remain uncertain.</p>]]></description><content:encoded><![CDATA[<p>Citation:</p><p>Cornet MC, Numis AL, Wusthoff CJ, Bernardo D, Mietzsch U, Thomas C, et al. Automated EEG Background Analysis and 2-Year Outcomes in Neonatal Hypoxic-Ischemic Encephalopathy. JAMA Netw Open. 2025;8(12):e2548321. doi:10.1001/jamanetworkopen.2025.48321.</p><p>Study at a glance:</p><p>- Design and setting: Multicenter prognostic study (secondary analysis of the HEAL RCT) in 8 US academic NICUs; generalized linear mixed models with site-level random effects and leave-one-site-out cross-validation.</p><p>- Participants: 203 cooled infants ≥36 weeks with moderate–severe HIE, continuous EEG started &lt;24 h of life and lasting ≥24 h, BSN available, and 2-year follow-up; 49/203 (24%) had death or severe neurodevelopmental impairment (NDI).</p><p>- Predictors and comparators: Automated Brain State of the Newborn (BSN) scores (median at onset and at 24, 48, 72 h and overall), simple clinical variables (Apgar at 5 min, HIE severity), and expert visual EEG background classification (normal, excessively discontinuous, severely abnormal) in a 127-infant subset.</p><p>- Primary outcome: Composite of death or severe NDI at ~2 years (Bayley-III cognitive score &lt;70 and/or moderate–severe motor impairment, or death); secondary 5-level ordinal outcome (no/mild/moderate/severe NDI or death).</p><p>- Prognostic performance: Median BSN at onset alone discriminated death/severe NDI with AUROC 0.85 (95% CI 0.79–0.92); BSN at all epochs alone AUROC 0.92 (0.87–0.97). Clinical variables alone had AUROC 0.79 (0.70–0.87); adding overall BSN improved AUROC to 0.90 (0.84–0.97), and adding BSN at all epochs to clinical variables reached AUROC 0.93 (0.88–0.98). Expert EEG background alone achieved AUROC 0.90 (0.81–0.98).</p><p>- Clinical signal: Very low early BSN was strongly associated with poor outcome (median BSN &lt;25 at onset: 17/18 [94%] death/severe NDI; BSN ≥75 at onset: 3/77 [4%] death/severe NDI).</p><p>- Limitations and risk of bias: PROBAST overall high risk of bias—performance reported only from internal cross-validation (no calibration metrics or external validation), BSN requires specialized continuous EEG and analysis pipeline in high-resource NICUs, so transportability and real-world impact remain uncertain.</p>]]></content:encoded><link><![CDATA[https://vetrix-neonatology.captivate.fm]]></link><guid isPermaLink="false">8cf0cf72-6d3c-4144-a9f3-45ad13379af1</guid><itunes:image href="https://artwork.captivate.fm/52bcc428-d3eb-4069-a8e4-4ff013e21668/ChatGPT-Image-Dec-18-2025-from-Vetrix.jpeg"/><pubDate>Mon, 05 Jan 2026 00:00:00 +0100</pubDate><enclosure url="https://episodes.captivate.fm/episode/8cf0cf72-6d3c-4144-a9f3-45ad13379af1.mp3" length="11470127" type="audio/mpeg"/><itunes:duration>11:57</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:episodeType>full</itunes:episodeType><itunes:season>2026</itunes:season><itunes:episode>1</itunes:episode><podcast:episode>1</podcast:episode><podcast:season>2026</podcast:season></item></channel></rss>