• Medicine · Jan 2021

    Prevalence and predictive nomogram of depression among hypertensive patients in primary care: A cross-sectional study in less developed Northwest China.

    • Lin Wang, Nanfang Li, Mulalibieke Heizhati, Mei Li, Fengyu Pan, Zhikang Yang, Zhongrong Wang, and Reyila Abudereyimu.
    • Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region.
    • Medicine (Baltimore). 2021 Jan 29; 100 (4): e24422e24422.

    AbstractHypertensive patients commonly co-exist persistent depressive symptoms. However, these issues are not always identified, especially in primary health care, which may worsen the prognosis of hypertension. Therefore, the aim of this study was to determine the prevalence and risk factor of depression, and to develop risk nomogram of depression in hypertensive patients from primary health care Northwest China.We used a stratified multistage random sampling method to obtain 1856 hypertensives subjects aged ≥18 years in Xinjiang between April and October 2019. The subjects were randomly divided into a training set (n = 1299) and a validation set (n = 557). Depression was evaluated by Hospital Anxiety and Depression Scale (HADS), with a cut-off score ≥8. Using the least absolute shrinkage and selection operator (LASSO) regression model, we identified optimized risk factors of depression in the training set, followed by the establishment of prediction nomogram. The discriminative ability, calibration, and clinical usefulness of nomogram were assessed. The results were verified by internal validation in validation set.13.7% hypertensive subjects displayed depression. Seven independent risk factors of depression were identified and entered into the nomogram including age, region, ethnicity, marital status, physical activity, sleep quality, and control of hypertension. The nomogram displayed robust discrimination with an AUC of 0.760 [95% confidence interval (CI): 0.724-0.797)] and 0.761 (95%CI: 0.702-0.819), and good calibration in training set and validation set, respectively. The decision curve analysis and clinical impact curve demonstrated clinical usefulness of predictive nomogram.There is a considerable prevalence of depression in patients with hypertension from primary care of Xinjiang, Northwest China. Our nomogram may help primary care providers assess the risk of depression in patients with hypertension.Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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