Prevalence and Clinically Related Factors of Hypertriglyceridemia in Patients with Bipolar Disorder in Anhui Province, China

中国安徽省双相情感障碍患者高甘油三酯血症的患病率及临床相关因素

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Abstract

PURPOSE: The prevalence of comorbid hypertriglyceridemia in patients with bipolar disorder has received international attention. This study aims to explore the prevalence and clinical factors of comorbid hypertriglyceridemia in patients with bipolar disorder (BD) in Anhui, China. PATIENTS AND METHODS: A total of 1072 patients with bipolar disorder were recruited from a large specialized hospital in Anhui, China. Demographic and clinical data were collected. Univariate and multivariate regression analyses were performed to assess the association between hypertriglyceridemia and various clinical variables. RESULTS: The prevalence of hypertriglyceridemia in patients with bipolar disorder in Anhui Province was 22.6%. Compared with patients without hypertriglyceridemia, patients with hypertriglyceridemia were older, and had higher body mass index (BMI), blood glucose, total cholesterol, alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT) and uric acid levels, and lower high-density lipoprotein level. Multiple Logistic regression analysis showed that BMI (OR=1.51, p<0.001, 95% CI=1.23-1.84), blood glucose (OR=1.21, p<0.001, 95% CI=1.09-1.33), total cholesterol (OR=2.88, p<0.001, 95% CI=2.34-3.55) were positively associated with the risk of hypertriglyceridemia, while high-density lipoprotein cholesterol (OR=0.07, p<0.001, 95% CI=0.03-0.15) showed the opposite association. The nomogram developed from these findings demonstrates an area under the curve (AUC) of 0.803 (95% CI: 0.772-0.834), with a sensitivity of 0.770 and a specificity of 0.727. Consequently, it serves as an effective instrument for assessing the risk of hypertriglyceridemia. CONCLUSION: The prevalence of hypertriglyceridemia in patients with bipolar disorder is higher than that in the general population in Anhui, China, and its prevalence is related to BMI, blood glucose and other factors, which needs to be paid attention to and relevant measures should be taken.

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