Hypothermia Outcome Prediction after Extracorporeal Life Support for Hypothermic Cardiac Arrest Patients: Assessing the Performance of the HOPE Score in Case Reports from the Literature

被引:5
作者
Grin, Nolan [1 ]
Rousson, Valentin [2 ]
Darocha, Tomasz [3 ]
Hugli, Olivier [4 ,5 ]
Carron, Pierre-Nicolas [4 ,5 ]
Zingg, Tobias [5 ,6 ]
Pasquier, Mathieu [4 ,5 ]
机构
[1] Lausanne Univ, Sch Med, CH-1011 Lausanne, Switzerland
[2] Lausanne Univ Hosp, Ctr Primary Care & Publ Hlth Unisante, CH-1010 Lausanne, Switzerland
[3] Med Univ Silesia, Severe Accid Hypothermia Ctr, Dept Anaesthesiol & Intens Care, PL-40001 Katowice, Poland
[4] Lausanne Univ Hosp, Dept Emergency Med, CH-1011 Lausanne, Switzerland
[5] Univ Lausanne, CH-1011 Lausanne, Switzerland
[6] Lausanne Univ Hosp, Dept Surg, CH-1011 Lausanne, Switzerland
关键词
cardiac arrest; ECMO; ECPR; hypothermia; accidental; potassium; publication bias; resuscitation; selection bias; triage; PUBLICATION BIAS; RESUSCITATION;
D O I
10.3390/ijerph182211896
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Aims: The hypothermia outcome prediction after extracorporeal life support (ECLS) score, or HOPE score, provides an estimate of the survival probability in hypothermic cardiac arrest patients undergoing ECLS rewarming. The aim of this study was to assess the performance of the HOPE score in case reports from the literature. Methods: Cases were identified through a systematic review of the literature. We included cases of hypothermic cardiac arrest patients rewarmed with ECLS and not included in the HOPE derivation and validation studies. We calculated the survival probability of each patient according to the HOPE score. Results: A total of 70 patients were included. Most of them (62/70 = 89%) survived. The discrimination using the HOPE score was good (Area Under the Receiver Operating Characteristic Curve = 0.78). The calibration was poor, with HOPE survival probabilities averaging 54%. Using a HOPE survival probability threshold of at least 10% as a decision criterion for rewarming a patient would have resulted in only five false positives and a single false negative, i.e., 64 (or 91%) correct decisions. Conclusions: In this highly selected sample, the HOPE score still had a good practical performance. The selection bias most likely explains the poor calibration found in the present study, with survivors being more often described in the literature than non-survivors. Our finding underscores the importance of working with a representative sample of patients when deriving and validating a score, as was the case in the HOPE studies that included only consecutive patients in order to minimize the risk of publication bias and lower the risk of overly optimistic outcomes.
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