2011
DOI: 10.1097/ccm.0b013e318218a05b
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International validation of the out-of-hospital cardiac arrest score in the United States*

Abstract: This study found good calibration and high discrimination of the out-of-hospital cardiac arrest score in two geographically distinct patient populations in the United States. Particularly, this score had a high positive predictive value and performed well in identifying high-risk patients for poor outcomes.

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Cited by 38 publications
(33 citation statements)
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“…The adequacy of the fitted model was performed by goodness-of-fit tests used the Hosmer–Lemeshow test for binary response data in which a P -value >0.1 indicates a good fit. 36 Before reaching definitive conclusions from the results of this method, the jack-knife method (a performance evaluation method in which a measured value predicted from the n -1 observations, removing the own predicted observation: leave-one-out cross validation) was used to quantify the model's internal validity. 37 Finally, results for independent variables were typically reported as odds ratios with 95% confidence intervals.…”
Section: Methodsmentioning
confidence: 99%
“…The adequacy of the fitted model was performed by goodness-of-fit tests used the Hosmer–Lemeshow test for binary response data in which a P -value >0.1 indicates a good fit. 36 Before reaching definitive conclusions from the results of this method, the jack-knife method (a performance evaluation method in which a measured value predicted from the n -1 observations, removing the own predicted observation: leave-one-out cross validation) was used to quantify the model's internal validity. 37 Finally, results for independent variables were typically reported as odds ratios with 95% confidence intervals.…”
Section: Methodsmentioning
confidence: 99%
“…12 The OHCA score is a prognostic score derived specifically to predict poor neurologic outcome in OHCA populations and we have validated its reliability as a predictive tool in an external population. 13 OHCA scores were treated as a continuous variable for multivariable adjustments. All data were collected locally, removed of any personal identifying information and entered into a secure electronic database that was shared across participating sites.…”
Section: Methodsmentioning
confidence: 99%
“…Multivariate (stepwise selection forward method) logistic regression analyses were performed to evaluate the association between immunophenotypic data (as a continuous variable) and AL-MDS. Internal validation of the logistic regression models was performed using the Hosmer-Lemeshow goodness-of-fit test, in which a P value greater than 0.1 indicates a good fit [23], and the performance was evaluated by the jackknife method (a performance evaluation method in which a measured value predicted from the n-1 observations removing the own predicted observation) [24]. Statistical analysis was performed using SAS version 9.1 (SAS Institute, Cary, NC).…”
Section: Discussionmentioning
confidence: 99%