AI Article Synopsis

  • The HOPE score helps predict survival chances for hypothermic cardiac arrest patients receiving extracorporeal life support (ECLS) during rewarming, based on case studies not included in previous evaluations.
  • In this study, researchers reviewed literature to find 70 relevant cases, revealing that 89% of these patients survived, although there was a discrepancy between predicted and actual survival rates.
  • The results highlighted the HOPE score’s practical effectiveness despite poor calibration, suggesting that biases in case selection and reporting may influence outcomes, emphasizing the need for more representative patient data in future studies.

Article Abstract

: 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. : 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. : 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. : 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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622062PMC
http://dx.doi.org/10.3390/ijerph182211896DOI Listing

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