2021
DOI: 10.1016/j.ahj.2020.12.011
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Out-of-hospital cardiac arrest: A systematic review of current risk scores to predict survival

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Cited by 28 publications
(18 citation statements)
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“…In the past 15 years, several clinical risk scores have been developed and validated specifically for early prognostication after cardiac arrest [ 22 , 23 ]. Still, only a few have been adequately validated in independent cohorts [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…In the past 15 years, several clinical risk scores have been developed and validated specifically for early prognostication after cardiac arrest [ 22 , 23 ]. Still, only a few have been adequately validated in independent cohorts [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…A recent systematic review by Gue et al[ 68 ] aimed to summarise available clinical risk scores and their performance in a similar way, but only included scores with survival as the predicted outcome, as the authors deemed neurological outcome to be too ambiguous [ 68 ]. Eleven scoring systems predicting mortality after OHCA were identified and their development, calculation and performance summarised briefly.…”
Section: Discussionmentioning
confidence: 99%
“…Several other scores have been created as prognostic tools for patients after ROSC, including NULL-PLEASE, OHCA, and rCAST, each of which exhibit good predictive value (AUC >0.8) ( 12 ). However, these scores require variables not immediately attainable on arrival to the emergency department (e.g., serum lactate, pH level, cause of arrest) or variables that are subject to recall bias (e.g., duration of low-flow or no-flow time), or require complex calculations and a score calculator for interpretation.…”
Section: Discussionmentioning
confidence: 99%
“…A recent systematic review by Gue et al identified several existing OHCA prognostication risk scores with good predictive ability ( 12 ). However, the clinical relevance of these scores was noted to be limited by difficulty in computation, recall bias and unavailability of data at the time the patient is in the emergency department (ED).…”
Section: Introductionmentioning
confidence: 99%