Predictive Score to Predict Ischemic Heart Disease among Workers in Jakarta

Pandhita, Gea dan Leli Hesti Indriyati, Leli Predictive Score to Predict Ischemic Heart Disease among Workers in Jakarta. Sanus Medical Journal. ISSN 2745-8687 (Submitted)

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Abstract

Abstract: Ischemic Heart Disease (IHD) is one of the leading causes of morbidity and mortality in many
countries, such as Indonesia. Therefore cardiovascular risk-prediction models are required in clinical
practice to identify and prevent the disease in the high-risk population, including the working population.
Purpose :
This study intends to develop a predictive risk score for early detection of IHD incidence in the workers
in Jakarta, Indonesia.
Patients and methods: This study analyzed the database of 4100 medical check-ups (MCU) results
of workers in Jakarta and surrounding areas around January to October 2019. We assessed some of
the risk factors to develop a scoring system that can be used as tools and early detection methods in
describing the risk of IHD in the working population in Jakarta, Indonesia.
Results: Multivariate analysis showed that age>40 years (p = 0.000; OR = 0.190 (95% CI 0.093-0.387
)), history of dyspnea (p = 0. 000 ; OR =0.180 (95% CI 0,080-0,407 )), HDL< 50 mg/dL (p = 0.027 ; OR
= 2.014 (95% CI ) 1,085-3,740 ) and smoking (p= 0.065; OR= 2.081 (95% CI 0,955-4,535)) were found
to be good predictors to detect IHD in the working population. These variables then combined to make
the prediction score for early detection of IHD, with a cut-off point of -0,5 , sensitivity of 74% and
specificity of 77%.
Conclusion: Workers who have a score of> -0.5 are at high risk of developing IHD in the future. This
scoring system can be applied directly by workers and the company to take early preventive measures.
Keywords: predictive risk score, ischemic heart disease, workers

Item Type:	Article
Subjects:	R Medicine > R Medicine (General) R Medicine > RZ Other systems of medicine
Depositing User:	kedokteran kedokteran
Date Deposited:	19 Sep 2021 06:27
Last Modified:	19 Sep 2021 06:27
URI:	http://repository.uhamka.ac.id/id/eprint/11467

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