{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T02:31:31Z","timestamp":1788229891941,"version":"build-2803163510"},"reference-count":27,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Artificial Organs"],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Despite increasing clinical experience with extracorporeal membrane oxygenation (ECMO), its optimal indications remain unclear. Here, we externally evaluated all currently available ECMO survival\u2010predicting scoring systems and the APACHE II score in subjects undergoing veno\u2010venous ECMO (VV ECMO) support due to acute respiratory distress syndrome (ARDS) with influenza (IVA) and non\u2010influenza (n\u2010IVA) etiologies. Our aim was to find the best scoring system for influenza A ARDS ECMO success prediction. Retrospective data were analyzed to assess the abilities of the PRESERVE, RESP, PRESET, ECMOnet, Roch, and APACHE II scores to predict patient outcome. Patients treated with veno\u2010venous ECMO support for ARDS were divided into two groups: IVA and n\u2010IVA etiologies. Parameters collected within 24\u00a0hours before ECMO initiation were used to calculate PRESERVE, RESP, PRESET, ECMOnet, Roch, and APACHE II scores. Compared to the IVA group, the n\u2010IVA group exhibited significantly higher ICU, 28\u2010day, and 6\u2010month mortality (<jats:italic>P<\/jats:italic>\u00a0=\u00a0.043, .034, and .047, respectively). Regarding ECMO support success predictions, the area under the receiver operating characteristic curve (AUC) was 0.62 for PRESERVE, 0.44 for RESP, 0.57 for PRESET, and 0.67 for ECMOnet, and 0.62 for Roch calculated for all subjects according to the original papers. In the IVA group, APACHE II had the best predictive value for ICU, hospital, 28\u2010day, and 6\u2010month mortality (AUC values of 0.73, 0.73, 0.70, and 0.73, respectively). In the n\u2010IVA group, APACHE II was the best predictor of survival in the ICU and hospital (AUC 0.54 and 0.57, respectively). From all possible ECMO survival scoring systems, the APACHE II score had the best predictive value for VV ECMO subjects with ARDS caused by influenza A\u2010related pneumonia with a cut\u2010off value of about 32 points.<\/jats:p>","DOI":"10.1111\/aor.13932","type":"journal-article","created":{"date-parts":[[2021,2,6]],"date-time":"2021-02-06T02:23:42Z","timestamp":1612578222000},"page":"881-892","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Extracorporeal membrane oxygenation survival: External validation of current predictive scoring systems focusing on influenza A etiology"],"prefix":"10.1111","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9771-0468","authenticated-orcid":false,"given":"Jan","family":"Maca","sequence":"first","affiliation":[{"name":"Department of Anesthesiology, Resuscitation and Intensive Care Medicine University Hospital Ostrava Ostrava Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vojtech","family":"Matousek","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Perioperative, and Intensive Care Medicine Krajsk\u00e1 zdravotn\u00ed, a.s. \u00dasti nad Labem Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Filip","family":"Bursa","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Resuscitation and Intensive Care Medicine University Hospital Ostrava Ostrava Czech Republic"},{"name":"Department of Intensive Care and Forensic Studies Medical Faculty University of Ostrava Ostrava Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olga","family":"Klementova","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Resuscitation and Intensive Care Medicine Faculty of Medicine and Dentistry of the Palacky University Olomouc Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roman","family":"Hanak","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology and Resuscitation Trinec Podlesi Hospital Praha Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michal","family":"Burda","sequence":"additional","affiliation":[{"name":"Institute for Research and Applications of Fuzzy Modeling Centre of Excellence IT4Innovations University of Ostrava Ostrava Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pavel","family":"Sevcik","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Resuscitation and Intensive Care Medicine University Hospital Ostrava Ostrava Czech Republic"},{"name":"Department of Intensive Care and Forensic Studies Medical Faculty University of Ostrava Ostrava Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"Rulisek","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Resuscitation and Intensive Care Medicine General University Hospital in Prague Prague Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,4,19]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.201205-0815OC"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(09)61069-2"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.201404-0630CP"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00134-015-4013-9"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.125.4.1530"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2009.1535"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2011.1471"},{"key":"e_1_2_9_9_1","first-page":"E166","article-title":"Extra corporeal membrane oxygenation (ECMO) review of life\u2010saving technology","volume":"7","author":"Makdisi G","year":"2015","journal-title":"J Thorac 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