@article{repository11468,
             doi = {http://dx.doi.org/10.21776/ub.jkb.2021.031.04.X},
          number = {4},
       publisher = {Fakultas Kedokteran Universitas Brawijaya},
          volume = {31},
           title = {Predictive measure for Ischemic Heart Disease among Workers in Jakarta, Indonesia
Skor Prediktif pada Penyakit Jantung Iskemik pada Pekerja di Jakarta, Indonesia},
         journal = {Jurnal Kedokteran Brawijaya},
            issn = {0216-9347},
             url = {http://jkb.ub.ac.id/index.php/jkb/article/view/2970},
        abstract = {Ischemic Heart Disease (IHD) is one of the leading causes of morbidity and mortality in many countries, including
Indonesia. Therefore, cardiovascular risk-prediction models are required in clinical practice for early detection in highrisk populations, including the worker population. This study intends to develop a predictive risk measure for early
detection of IHD incidences among employees in Jakarta, Indonesia. Source of data wasthe database of 4,100 medical
check-up (MCU) results of employees and entrepreneurs in Jakarta and surrounding areas in January to October 2019.
Multivariate analysis showed that being aged {\ensuremath{>}}40 years (p=0.000; OR=5.329 (95\% CI 2.621-10.833)), having a history
of dyspnea (p=0.000; OR=5.699 (95\% CI 2.524-12.871)), smoking (p=0.048; OR=2.007 (95\% CI 1.924-4.359)) and
HDL{\ensuremath{<}}50 mg/dL (p=0.049; OR=1.811 (95\% CI 1.099-3.281)) were all good predictors to detect IHD in the worker
population. The combination of these predictors results with a cut-off point of 2.5, showed accuracy (79.2\% sensitivity
and 66.3\% specificity). Workers who have a score {\ensuremath{>}}2.5 are at high risk of developing IHD in the future. This scoring
system can be used by workers or companies to take early preventive measures.
Keywords: Ischemic heart disease, predictive risk score, smoking, workers},
          author = {Pandhita, Gea and Leli Hesti Indriyati, Leli}
}