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原发性高血压患者中抑郁的患病率及预测列线图:欠发达的中国西北部的一项横断面研究。

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

机构信息

Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region.

Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region; Xinjiang Hypertension Institute; National Health Committee Key Laboratory of Hypertension Clinical Research Urumqi, Xinjiang, China.

出版信息

Medicine (Baltimore). 2021 Jan 29;100(4):e24422. doi: 10.1097/MD.0000000000024422.

Abstract

Hypertensive 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.

摘要

高血压患者常伴有持续性抑郁症状。然而,这些问题并不总是能够被识别出来,尤其是在初级保健中,这可能会使高血压的预后恶化。因此,本研究旨在确定高血压患者中抑郁的患病率和危险因素,并为中国西北基层医疗保健机构的高血压患者制定抑郁风险列线图。

我们使用分层多阶段随机抽样方法,于 2019 年 4 月至 10 月在新疆获得了 1856 名年龄≥18 岁的高血压患者。将患者随机分为训练集(n=1299)和验证集(n=557)。使用医院焦虑抑郁量表(HADS)评估抑郁情况,以≥8 分为界值。采用最小绝对收缩和选择算子(LASSO)回归模型,在训练集中确定抑郁的最佳风险因素,然后建立预测列线图。通过验证集内部验证评估列线图的判别能力、校准和临床实用性。

13.7%的高血压患者患有抑郁。确定了 7 个独立的抑郁危险因素,并将其纳入列线图,包括年龄、地区、民族、婚姻状况、身体活动、睡眠质量和高血压控制情况。该列线图在训练集和验证集中均具有良好的判别能力,AUC 分别为 0.760[95%置信区间(CI):0.724-0.797]和 0.761(95%CI:0.702-0.819),且校准度较好。决策曲线分析和临床影响曲线表明,预测列线图具有临床实用性。

中国西北新疆基层医疗保健机构的高血压患者中,抑郁的患病率相当高。我们的列线图可以帮助基层医疗保健提供者评估高血压患者的抑郁风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c55/7850745/e10da3080dee/medi-100-e24422-g001.jpg

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