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Sökning: id:"swepub:oai:lup.lub.lu.se:572808ea-ddbe-4a41-bc62-f26c75946035" > External validation...

External validation of the 2020 ERC/ESICM prognostication strategy algorithm after cardiac arrest

Youn, Chun Song (författare)
Catholic University of Korea
Park, Kyu Nam (författare)
Catholic University of Korea
Kim, Soo Hyun (författare)
Catholic University of Korea
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Lee, Byung Kook (författare)
Chonnam National University
Cronberg, Tobias (författare)
Lund University,Lunds universitet,Neurologi, Lund,Sektion IV,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Centrum för hjärtstopp,Forskargrupper vid Lunds universitet,Brain Injury After Cardiac Arrest,Neurology, Lund,Section IV,Department of Clinical Sciences, Lund,Faculty of Medicine,Center for cardiac arrest,Lund University Research Groups
Oh, Sang Hoon (författare)
Catholic University of Korea
Jeung, Kyung Woon (författare)
Chonnam National University
Cho, In Soo (författare)
Choi, Seung Pill (författare)
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 (creator_code:org_t)
 
2022-04-11
2022
Engelska.
Ingår i: Critical care (London, England). - : Springer Science and Business Media LLC. - 1364-8535. ; 26:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • PURPOSE: To assess the performance of the post-cardiac arrest (CA) prognostication strategy algorithm recommended by the European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) in 2020. METHODS: This was a retrospective analysis of the Korean Hypothermia Network Prospective Registry 1.0. Unconscious patients without confounders at day 4 (72-96 h) after return of spontaneous circulation (ROSC) were included. The association between the prognostic factors included in the prognostication strategy algorithm, except status myoclonus and the neurological outcome, was investigated, and finally, the prognostic performance of the prognostication strategy algorithm was evaluated. Poor outcome was defined as cerebral performance categories 3-5 at 6 months after ROSC. RESULTS: A total of 660 patients were included in the final analysis. Of those, 108 (16.4%) patients had a good neurological outcome at 6 months after CA. The 2020 ERC/ESICM prognostication strategy algorithm identified patients with poor neurological outcome with 60.2% sensitivity (95% CI 55.9-64.4) and 100% specificity (95% CI 93.9-100) among patients who were unconscious or had a GCS_M score ≤ 3 and with 58.2% sensitivity (95% CI 53.9-62.3) and 100% specificity (95% CI 96.6-100) among unconscious patients. When two prognostic factors were combined, any combination of prognostic factors had a false positive rate (FPR) of 0 (95% CI 0-5.6 for combination of no PR/CR and poor CT, 0-30.8 for combination of No SSEP N20 and NSE 60). CONCLUSION: The 2020 ERC/ESICM prognostication strategy algorithm predicted poor outcome without an FPR and with sensitivities of 58.2-60.2%. Any combinations of two predictors recommended by ERC/ESICM showed 0% of FPR.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Nyckelord

Cardiac arrest
Guideline algorithm
Outcome
Prognostic accuracy

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