Evidence map›Paper›PMID 39934692›Full record

ArticleBMC psychiatry2025

Psychiatric disorders and following risk of chronic kidney disease: a prospective cohort study from UK Biobank.

Hanfei Li, Chunyang Li, Chao Zhang, Zhiye Ying, Chuanfang Wu, Xiaoxi Zeng, Jinku Bao

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hanfei Li *Division of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Chunyang Li *Division of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Chao ZhangDivision of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Zhiye YingDivision of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Chuanfang WuCollege of Life Science, SiChuan University, Chengdu, 610064, China.
Xiaoxi ZengDivision of Nephrology and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China. zengxiaoxi@wchscu.cn.
Jinku BaoCollege of Life Science, SiChuan University, Chengdu, 610064, China. baojinku@scu.edu.cn.

Funding

Digital Economy Pilot Project for Application of Healthcare Big Data from National Development and Reform Commission of China 2018gfgw001Key Research and Development Program of Chengdu 2021-YF08-00167-GXthe 1•3•5 project for disciplines of ex-cellence, West China Hospital, Sichuan University ZYJC18010
6 · The paper itself

Abstract

backgroundPsychiatric disorders have been reported to influence many health outcomes, but evidence about their impact on chronic kidney disease (CKD) has not been fully explored, as well as possible mechanisms implicated are still unclear.

methodsFour hundred forty-one thousand eight hundred ninety-three participants from UK Biobank were included in this study. To assess the association between psychiatric disorders mainly including depression, anxiety, stress-related disorders, substance misuse as well as psychotic disorder, and CKD, a Cox regression model using age as the underlying time scale was employed. This approach considers the age progression of participants from the beginning to the end of the study as the elapsed time. Flexible nonparametric smoothing model was conducted to illustrate the temporal patterns. Subgroup analyses were performed by stratification of gender, genetic susceptibility to CKD, age at entry or exit the cohort, follow-up duration, and the number of psychiatric disorders at baseline. Mediation analysis was implemented to evaluate the roles of body mass index (BMI), hypertension, and diabetes.

resultsCompared with individuals without psychiatric disorders, an increased risk of CKD was observed in patients with psychiatric disorders (hazard ratios (HR) = 1.52, 95% confidence intervals (CI): 1.40-1.65, p-value < 0.001). The hazard ratio among psychiatric patients gradually increased, and became significant after about 10 years follow-ups. The HR for patients followed up for 10-12 years was 1.60 (95% CI: 1.34-1.91, p-value < 0.001), and the HR was 1.66 (95% CI: 1.29-2.13, p-value < 0.001) for patients followed up for 12-13 years. Five distinct psychiatric disorders were found to be significantly associated with an increased risk of developing CKD. The highest HR was observed between stress-related disorder and CKD (HR = 1.95, 95%CI: 1.28-2.97, p-value = 0.002). When adjusting genetic susceptibility to CKD, the HR for the association between stress-related disorders and CKD became 1.86 (95%CI: 1.14-3.04, p-value = 0.013). Although these associations were nominally significant, they did not reach statistical significance after applying the Bonferroni multiple corrections, potentially due to the limited sample size. Subgroup analysis revealed that psychiatric patients who are under age 60, with multiple psychiatric morbidities or having been diagnosed with psychiatric disorders for over 10 years may be high-risk populations. Hypertension, BMI and diabetes mediated 49.13% (95% CI: 37.60%-67.08%), 12.11% (95% CI: 8.49%-17.24%) and 3.78% (95% CI: 1.58%-6.52%) of the total effect, respectively.

conclusionsPsychiatric disorders were associated with a delayed onset of an elevated risk for CKD, this association was only observed in patients with psychiatric disorders for more than 10 years. Our study highlights the significance of lifestyle interventions, routine monitoring of kidney function, early screening for CKD, and personalized management strategies for psychiatric patients as potential approaches to the precise prevention of CKD.

Indexed as

Mental DisordersRenal Insufficiency, ChronicAdultAgedBiological Specimen BanksComorbidityFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUK BiobankUnited KingdomAge as time scaleChronic kidney diseasesMediation analysisPsychiatric disorders

Identifiers

PMID39934692
PMCPMC11816523

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.