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- W2365431078 abstract "Objective To establish a Resuscitation Predictor Scoring System (PRSS) for non-trauma patients in emergency department by statistical analysis. Methods 323 patients were divided into two groups, the group 1 (n=240) derived a predictive models based on logistic regression, the group 2 (n=83) validated the models. Results Variables related to immediate survival were age, ECG, immediate causes of cardiac arrest, pre-existing disease conditions. GCS was the only predictor of discharge. The scores based on OR were: age 50: 1 point, 51～70: 3 points, 70: 6 points; VF: 1 point, VT and tachycardia: 2 points, asystole: 6 points, bradycardia: 3 points; AMI or arrhythmia: 1 point, respiratory insufficiency: 1 point, heart failure: 3 points, others: 4 points; underlying disease: 3 points. Area under ROC was 0.867, sensitivity was 71.8%, specificity was 83.3%. Conclusion The scoring system based on OR of Logistic regression can predict the result of CPR." @default.
- W2365431078 created "2016-06-24" @default.
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- W2365431078 date "2005-01-01" @default.
- W2365431078 modified "2023-09-28" @default.
- W2365431078 title "Study of a Resuscitation Predictor Scoring System (PRSS) for non-trauma patients in the emergency department" @default.
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