Blood glucose and systolic blood pressure as predictors of hospital length of stay in patients with coronary heart disease

Journal of Public Health in Africa

 
 
Field Value
 
Title Blood glucose and systolic blood pressure as predictors of hospital length of stay in patients with coronary heart disease
 
Creator Haryuni, Sri Wahyuni, Chatarina U. Basuki, Hari Qomaruddin, Mochammad B. Maulina, Rifzul Nurseskasatmata, Satria E. Alimansur, Moh Sutriningsih, Ani
 
Subject — blood glucose; coronary heart disease; length of stay; systolic blood pressure
Description According to WHO, coronary heart disease (CHD) is the leading cause of death. Blood glucose and systolic blood pressure were essential indicators for an effective prognosis. The purpose of the study was to determine the relationship between blood glucose levels and systolic blood pressure on the length of stay of CHD patients at Nganjuk Hospital in 2021. This study uses a quantitative approach with a retrospective survey method. The research has been carried out in the emergency department and intensive care unit room at Nganjuk Hospital by taking medical record data. The population of this study was all coronary heart disease patients from Juli until December 2021. The sample size was 164 respondents selected using a simple random sampling technique. The independent variables were systolic blood pressure (X1) and blood glucose levels (X2), while the dependent variable was the length of stay (LOS) in CHD patients (Y). Data analysis using multiple linear regression. The multivariate analysis results with linear regression showed a relationship between blood glucose levels (P value: 0.00) and systolic blood pressure (P value: 0.00) with the length of stay of CHD patients at Nganjuk Hospital in 2021. High blood glucose requires more intensive treatment to monitor and normalize blood glucose again and higher systolic blood pressure is associated with a shorter stay in the hospital. Patients with CHD can use blood glucose level and systolic blood pressure as a predictor of LOS.
 
Publisher AOSIS
 
Contributor
Date 2023-05-25
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format application/pdf
Identifier 10.4081/jphia.2023.2567
 
Source Journal of Public Health in Africa; Vol 14, S 2 (2023): 6th International Symposium of Public Health (ISoPH); 4 2038-9930 2038-9922
 
Language eng
 
Relation
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https://publichealthinafrica.org/index.php/jphia/article/view/425/454
 
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Rights Copyright (c) 2024 Sri Haryuni, Chatarina U. Wahyuni, Hari Basuki, Mochammad B. Qomaruddin, Rifzul Maulina, Satria E. Nurseskasatmata, Moh Alimansur, Ani Sutriningsih https://creativecommons.org/licenses/by/4.0
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