@article{repository11467,
         journal = {Sanus Medical Journal},
            note = {Submitted},
       publisher = {Faculty of Medicine Muhammadiyah University of Prof. Dr. HAMKA},
           title = {Predictive Score to Predict Ischemic Heart Disease among Workers in Jakarta},
             url = {http://repository.uhamka.ac.id/id/eprint/11467/},
            issn = {2745-8687},
        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{\ensuremath{>}}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{\ensuremath{<}} 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{\ensuremath{>}} -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},
          author = {Pandhita, Gea and Leli Hesti Indriyati, Leli}
}