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ORIGINAL RESEARCH article

Front. Public Health
Sec. Public Mental Health
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1356814
This article is part of the Research Topic Behavioral and Medical Comorbidity: Identifying Challenges and Transforming Systems of Care View all 10 articles

Development and validation of a prediction nomogram for depressive symptoms in gout patients

Provisionally accepted
Xinyi Hao Xinyi Hao 1,2Aiping Wang Aiping Wang 3*
  • 1 Public Service Department, The First Hospital of China Medical University, Shenyang, China
  • 2 Nursing Department, Peking Union Medical College Hospital, Peking, China
  • 3 The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China

The final, formatted version of the article will be published soon.

    Objective: To explore the risk factors of depressive symptoms in patients with gout, and to construct and validate a nomogram model.Methods: From October 2022 to July 2023, a total of 469 gout patients from a Class ⅲ Grade A hospital in Northeast China were selected as the research objects by convenience sampling method. The general information Questionnaire, Self-Rating Depression Scale, Gout Knowledge Questionnaire, Self-Efficacy Scale for Chronic and Social Support Rated were used Scale was used to conduct the survey. Univariate and multivariate Logistic regression analysis were used to establish a depression risk prediction model and construct a nomogram. Bootstrap method was used to verify the performance of the model.The detection rate of depressive symptoms in gout patients was 25.16%. Binary Logistic regression analysis showed that male, the number of tophi, acute attack period, lack of knowledge about gout, the number of attacks in the past year, and the duration of the last attack were independent risk factors for post-gout depression. Female, interictal period and chronic arthritis period, knowledge of gout and social support were protective factors for post-gout depression (P<0.05). The calibration (²=11.348, P=0.183, P > 0.05) and discrimination (AUC=0.858, 95%CI: 0.818-0.897) of the nomogram model for depressive symptoms in gout patients were good.The prevalence of depressive symptoms in gout patients is high, and it is affected by gender, current disease stage, number of tophi, gout knowledge level, the number of attacks in the past year, and the last attack days. The nomogram model is scientific and practical to predict the occurrence of depressive symptoms in gout patients.

    Keywords: immunotherapy1, gout2, depression3, Nomogram4, Prediction model5

    Received: 16 Dec 2023; Accepted: 03 Jul 2024.

    Copyright: © 2024 Hao and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Aiping Wang, The First Affiliated Hospital of China Medical University, Shenyang, 110000, Liaoning Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.