Evidence map›Paper›PMID 39583312›Full record

ArticlePhenomics (Cham, Switzerland)2024

Risk of Cardiovascular Disease Hospitalization After Common Psychiatric Disorders: Analyses of Disease Susceptibility and Progression Trajectory in the UK Biobank.

Xin Han, Yu Zeng, Yanan Shang, Yao Hu, Can Hou, Huazhen Yang, Wenwen Chen, Zhiye Ying, Yajing Sun, Yuanyuan Qu and 5 more

Abstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

6 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

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

15 authors.

Xin HanMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0003-2009-8503
Yu ZengMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.
Yanan ShangMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0002-3105-9959
Yao HuMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0002-6739-6340
Can HouMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0002-6903-6007
Huazhen YangMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0003-4515-1446
Wenwen ChenDivision of Nephrology, Kidney Research Institute, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610000 China.ORCID 0000-0002-2586-9234
Zhiye YingMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0009-0009-0111-3481
Yajing SunMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0003-4286-7422
Yuanyuan QuMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0002-3211-7671
Junren WangMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0001-6612-1671
Wei ZhangMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0003-3113-9577
Fang FangInstitute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden.ORCID 0000-0002-3310-6456
Unnur ValdimarsdóttirCenter of Public Health Sciences, Faculty of Medicine, University of Iceland, 102 Reykjavík, Iceland.ORCID 0000-0001-5382-946X
Huan SongMental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610000 China.ORCID 0000-0003-3845-8079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whether associations between psychiatric disorders and hospitalization for cardiovascular diseases (CVDs) can be modified by disease susceptibility and the temporal pattern of these associated CVDs remain unknown. In our study, we conducted a matched cohort study of the UK Biobank including 44,430 patients with common psychiatric disorders (anxiety, depression, and stress-related disorders) between 1997 and 2019, together with 222,150 sex-, Townsend deprivation index-, and birth year- individually matched unexposed individuals. The hazard ratios (HRs) for CVD hospitalization associated with a prior psychiatric disorder were derived from Cox models, adjusted for multiple confounders. We then stratified the analyses by self-reported family history of CVD and CVD polygenic risk score (PRS) calculated based on summary statistics of independent genome-wide association studies. We further conducted disease trajectory analysis and visualized the temporal pattern of CVDs after common psychiatric disorders. During a mean follow-up of 12.28 years, we observed an elevated risk of CVD hospitalization among patients with psychiatric disorders, compared with matched unexposed individuals (hazard ratios [HRs] = 1.20, 95% confidence interval [CI]: 1.18-1.23), especially during the first six months of follow-up (1.72 [1.55-1.91]). The stratification analyses by family history of CVD and by CVD PRS obtained similar estimates between subgroups with different susceptibilities to CVD. We conducted trajectory analysis to visualize the temporal pattern of CVDs after common psychiatric disorders, identifying primary hypertension, acute myocardial infarction, and stroke as three main intermediate steps leading to further increased risk of other CVDs. In conclusion, the association between common psychiatric disorders and subsequent CVD hospitalization is not modified by predisposition to CVD. Hypertension, acute myocardial infarction, and stroke are three initial CVDs linking psychiatric disorders to other CVD sequelae, highlighting a need of timely intervention on these targets to prevent further CVD sequelae among all individuals with common psychiatric disorders. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-023-00134-w.

Indexed as

Cardiovascular diseaseDisease susceptibilityDisease trajectoryPsychiatric disorders

Identifiers

PMID39583312
PMCPMC11584824

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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 OpenQuestion graph.