Mortality Prediction Ability of Phycians in Intensive Care Units of Turkey (MOPAP)

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Abstract

INTRODUCTION: Intensive care physicians are increasingly involved in decision making about the prognosis of intensive care unit ICU patients. With this study; we aimed to evaluate the power of clinician foresight at prediction of mortality in patient at triage to intensive care and patient follow-up. MATERIALS AND METHODS: This study was conducted in ICUs located in various geographical regions of Turkey between January 1, 2017-April 30, 2017.The clinical research was planned as observational, multicenter, cross-sectional. RESULT: A total of 1169 intubated patients were followed in 37 different ICU. At the beginning of the follow-up we asked the physician who will follow the patient in the ICU to give a score for the probability of survival of the patients. Scoring included a total of 6 scores from 0 to 5, with the "0" the worst probability "5" being the best. According to this distribution, only 1 (0.9%) of 113 patients who were given 0 points survived. Three (6.1%) of 49 with the best score of 5 died. Survival rates were significantly different in each score group (r: -0.488; p<0.001). After the combined mortality estimation scores based on the clinical observations of the physicians (0 and 1 point score was combined as non-survive, 4 and 5 score was combined as survived) 320 of the 545 patients were estimated to be dead and 225 were predicted survival. Sensitivity and spesifity of scoring system to predict mortality was 91.56% (95% CI: 87.96-94.37), 76.89% (95% CI: 70.82-82.23) respectively. CONCLUSIONS: In this study, we concluded that the physicians who follow the patients in the ICU can predict the poor prognosis at the time of admission and the high mortality rate. The physician's opinion on mortality estimation should be considered in intensive care mortality scoring in addition to other laboratory and clinical parameters.

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Keywords

Medicine, Intensive Care Unit, Intensive Care, TrIAGE, Observational Study, Adult, Male, Critical Care, Turkey, Mechanical Ventilation, Critical Illness, Intensive Care Unit, Outcomes, mechanical ventilation, Severity of Illness Index, Admıssıon, Humans, Intensive care unit, Hospital Mortality, Prospective Studies, Mortality, Practice Patterns, Physicians', Aged, Hospıtal Mortalıty, prediction, Middle Aged, Prognosis, mortality, Physıcıans, Intensive Care Units, Cross-Sectional Studies, Prognostıc-Factors, Female, Mechanıcal Ventılatıon, Multıcenter, Prediction

Fields of Science

03 medical and health sciences, 0302 clinical medicine

Citation

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OpenCitations Citation Count
1

Volume

68

Issue

3

Start Page

205

End Page

217
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