Platelets and Hematocrit in the Survival Model of Dengue Hemorrhagic Fever (DHF) Sufferers in Palopo
Riska Yanu Fa’rifah, Bobby Poerwanto
Abstract
Riska Yanu Fa’rifah, Bobby Poerwanto
Abstract
This study aims to apply cox regression analysis to predict the patient's survival to dengue disease occurring in Palopo. This study uses clinical data, namely the results of laboratory tests to determine the effect on the patient's healing period. Laboratory test results used are platelets and hematocrit. By using the MPLE method to obtain parameter estimation in the cox regression model, it is known that platelets have a stronger effect for patient resistance on DHF than hematocrit. This is based on the p-value obtained from the analysis less than alpha (0.05), which is equal to 0.0433. Patients who had an average platelet below normal when experiencing DHF are longer in their recovery period. In addition, patients with DHF ≤ 2 days, the probability to survive and recover was 90%.
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This study aims to apply cox regression analysis to predict the patient's survival to dengue disease occurring in Palopo. This study uses clinical data, namely the results of laboratory tests to determine the effect on the patient's healing period. Laboratory test results used are platelets and hematocrit. By using the MPLE method to obtain parameter estimation in the cox regression model, it is known that platelets have a stronger effect for patient resistance on DHF than hematocrit. This is based on the p-value obtained from the analysis less than alpha (0.05), which is equal to 0.0433. Patients who had an average platelet below normal when experiencing DHF are longer in their recovery period. In addition, patients with DHF ≤ 2 days, the probability to survive and recover was 90%.
Key concepts: Dengue hemorrhagic fever, Hematocrit, Dengue fever, Platelet, Dengue haemorrhagic fever, Proportional hazards model, Regression analysis, Internal medicine