Indian Journal of Psychological Medicine
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Year : 2017  |  Volume : 39  |  Issue : 5  |  Page : 634-640

A cross-sectional study to estimate cardiovascular risk factors in patients with bipolar disorder

Asha Bipolar Clinic, Asha Hospital, Hyderabad, Telangana, India

Correspondence Address:
Swetha Reddy Damegunta
F-16/A, Madhura Nagar, Behind Ratnadeep Supert Mart, Yousufguda, Hyderabad - 500 038, Telangana
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/IJPSYM.IJPSYM_369_17

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Background: There is increasing recognition of cardiovascular mortality and comorbidity in bipolar disorder (BD) in the recent times. Framingham 10 years risk of coronary heart disease (CHD) has been a widely accepted as a reliable estimate of cardiovascular risk in the general population. A few studies have estimated the relative risk of developing CHD in BDs, in India. We attempt to present a cross-sectional data from a prospective study to estimate the 10 years cardiovascular risk in BD population. Subjects and Methods: A total of 50 patients with BD aged between 20 and 60 years fulfilling the inclusion and exclusion criteria were enrolled into this study. Demographic variables and clinical evaluations including smoking history, medical and pharmacologic treatment history, physical examination, anthropometric measurements, and clinical laboratories for metabolic profiles were assessed. Using the Framingham 10-year risk questionnaire, the risk for each patient was calculated and compared with that of normal healthy control group. Results: The risk of developing a future cardiovascular event was 3.26% in BD and 2.02% in controls. We identified that a higher age at onset of illness, waist-hip ratio, total cholesterol, and unemployment showed a strong positive correlation with future CHD risk whereas administration of valproate, lithium for management of BD, higher socioeconomic status and educational status, and nonsmokers was associated negatively with the future CHD risk. Conclusions: It appears that there is a significant association between BD and metabolic factors, CHD, sociodemographic variables, and underscores the predictive ability of Framingham risk score in detecting cardiovascular diseases.

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