Evidence map›Paper›PMID 41630960›Full record

ArticleAmerican journal of preventive cardiology2026

Impact of severe infections on the risk of acute cardiovascular and cerebrovascular diseases: A prospective cohort study.

Siqi Tang, Yonggen Jiang, Yiling Wu, Xuyan Su, Shuo Wang, Ruilin Chen, Genming Zhao, Wanghong Xu, Xing Liu, Ruoxin Zhang and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of preventive cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Chemerin/ChemerinR1 axis and inflammation-related diseases.Frontiers in molecular biosciences · 2026
    Review
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

14 authors.

Siqi TangShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Yonggen JiangSongjiang District Center for Disease Control and Prevention (Songjiang District Institute of Public Health Supervision), Shanghai, China.
Yiling WuSongjiang District Center for Disease Control and Prevention (Songjiang District Institute of Public Health Supervision), Shanghai, China.
Xuyan SuSongjiang District Center for Disease Control and Prevention (Songjiang District Institute of Public Health Supervision), Shanghai, China.
Shuo WangDepartment of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Ruilin ChenDepartment of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Genming ZhaoDepartment of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Wanghong XuDepartment of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Xing LiuDepartment of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Ruoxin ZhangDepartment of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China.
Tiejun ZhangShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.
Xingdong ChenState Key Laboratory of Genetics and Development of Complex Phenotypes, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Yanfeng JiangHuman Phenome Institute, Research and Innovation Center, Shanghai Pudong Hospital, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China.
Chen SuoShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe infections, particularly those requiring hospitalization, have been widely recognized as potential risk factors for cardiovascular and cerebrovascular diseases. However, the precise relationship remains unclear, particularly regarding how factors such as different time windows, repeated infections, infections caused by various pathogens, and infections involving different organ systems may influence the risk of acute cardiovascular and cerebrovascular events. This study aimed to evaluate the impact of severe infections on the incidence of these acute events by specifically focusing on these factors. Methods: We conducted a prospective cohort study involving 55,338 participants, with a median follow-up duration of 6.42 years (IQR: 4.56-7.01). Hospitalization events related to infectious diseases and incident cardiovascular and cerebrovascular diseases were identified using passive follow-up methods. Segmented Cox regression analyses were performed to evaluate the effects of various infection-related factors on the risk of acute cardiovascular and cerebrovascular diseases, including different time windows after infection, repeated infections, infections caused by various pathogens, and infections involving different organ systems. Results: The risk of cardiovascular and cerebrovascular events after severe infection was elevated during the whole follow-up (HR=4.07, 95% CI: 3.62-4.57) and was most significantly elevated in 3 months following severe infection (HR=8.24, 95% CI: 6.16-11.02). Repeated infections were positively correlated with the excess risk of stroke (HR=4.73, 95% CI: 1.75-12.79 for ≥3 infections, p for difference = 0.013). Infections involving different organ systems carried a much higher risk compared to single-system infections (HR= 13.11, 95% CI: 7.3-23.53). Viral infections notably increased the risk of acute ischemic heart disease (HR=4.22, 95% CI: 2.29-7.76). Conclusion: The study found that severe infections were associated with the elevated risk of cardiovascular and cerebrovascular events. The findings suggest that more attention should be given to preventing and intervening in cardiovascular events among high-risk infection populations.

Indexed as

Cardiovascular and cerebrovascular diseasesImmune responseProspective cohort studySevere infections

Identifiers

PMID41630960
PMCPMC12860620

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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.