A tool for predicting outcomes of patients admitted to ICU - "Battery of life" / Kanargahraj Vetaryan

Design: This is a prospective study on all patients admitted to ICU UMMC from April to July 2018. Method: Data for 280 patients was collected. Patient�s physiological status was scored daily for 30 days, or until discharge or death � whichever comes first. Scoring was done based on BOL param...

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主要作者: Kanargahraj, Vetaryan
格式: Thesis
出版: 2018
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在線閱讀:http://studentsrepo.um.edu.my/11188/4/kanargahraj.pdf
http://studentsrepo.um.edu.my/11188/
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總結:Design: This is a prospective study on all patients admitted to ICU UMMC from April to July 2018. Method: Data for 280 patients was collected. Patient�s physiological status was scored daily for 30 days, or until discharge or death � whichever comes first. Scoring was done based on BOL parameters which included airway, breathing, circulation, haemoglobin, microcirculation and glucose. Each parameter had 4 grades of severity � 25%, 50%, 75%, 100%, with the lowest score at 25% and the highest score at 100%. The lowest score of all six parameters were taken as the final score for each day. Statistical analysis on parameters affecting the final status (alive or dead) was done. Patients who died were further divided into those who died in ICU and those who died in the ward. Individual BOL parameters were analysed for these patients on first day of ICU admission and last day of ICU admission. Results: Patients who scored a BOL of 25% on the first day were 3.699 times more likely to die compared to patients who scored >25%. The leading physiological causes of deterioration/death was circulation, microcirculation followed by breathing. Conclusion: The six physiological parameters of airway, breathing, circulation, haemoglobin, microcirculation and glucose, which are captured through a scoring system called the �Battery of Life�, are able to identify the potential cause of deterioration in the critically ill patients, as well as those in the wards