Analysis of risk factors for depression in peritoneal dialysis patients and establishment of a risk nomogram model

IF 2.2 4区医学 Q2 MEDICINE, GENERAL & INTERNAL

Clinics Pub Date : 2025-01-01 DOI:10.1016/j.clinsp.2025.100600

Ming Yang , Xinhai Tang , Yehua Fang

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引用次数: 0

Abstract

Objective

This study aims to analyze the risk factors for depression in peritoneal dialysis patients and to develop a predictive nomogram model for assessing these risks.

Methods

A total of 326 peritoneal dialysis patients treated between August 2021 and December 2023 were selected as the training set. These patients were categorized into a non-depression group (229 cases) and a depression group (97 cases) based on the presence of depression. Additionally, 104 peritoneal dialysis patients from the same period were selected as the validation set. Clinical data were collected from all patients for analysis.

Results

The depression group had higher proportions of female patients, non-employed individuals, those with a per capita monthly income of <2000-yuan, cardiovascular complications, cerebrovascular complications, and sleep disorders compared to the non-depression group. Additionally, the levels of hemoglobin and blood uric acid were lower in the depression group than in the non-depression group (p < 0.05). Gender, work status, per capita monthly income, cardiovascular complications, cerebrovascular complications, and sleep disorders are risk factors for depression in peritoneal dialysis patients (p < 0.05), while hemoglobin and blood uric acid are protective factors for depression in peritoneal dialysis patients (p < 0.05). Calibration curve analysis results showed that the predicted probability was basically consistent with the actual incidence rate. The results of the Decision Curve Analysis (DCA) demonstrated that the nomogram model developed in this study has strong clinical applicability.

Conclusion

The nomogram model for predicting depression in peritoneal dialysis patients, which incorporates factors such as gender, work status, per capita monthly income, cardiovascular complications, cerebrovascular complications, sleep disorders, hemoglobin levels, and blood uric acid levels, demonstrates excellent calibration and discrimination. Additionally, it has high clinical applicability.

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来源期刊

Clinics 医学-医学：内科

CiteScore

4.10

自引率

3.70%

发文量

129

审稿时长

52 days

期刊介绍： CLINICS is an electronic journal that publishes peer-reviewed articles in continuous flow, of interest to clinicians and researchers in the medical sciences. CLINICS complies with the policies of funding agencies which request or require deposition of the published articles that they fund into publicly available databases. CLINICS supports the position of the International Committee of Medical Journal Editors (ICMJE) on trial registration.