Evidence map›Paper›PMID 40944683›Full record

ArticleJACC. Asia2025

Sleep Patterns and Frailty: Joint Impact on Major Adverse Cardiac Events.

Zhi-Teng Chen, Da-Chuan Guo, Jing-Wei Gao, Wen-Hao Liu, Yan-Ren Peng, Wan-Bing He, Qing-Yuan Gao, Mao-Xiong Wu, Pin-Ming Liu, Jing-Feng Wang and 2 more

Abstract read
In one paragraph

Article in JACC. Asia, 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Zhi-Teng ChenDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Da-Chuan GuoDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jing-Wei GaoDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Wen-Hao LiuDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Yan-Ren PengDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Wan-Bing HeDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Qing-Yuan GaoDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Mao-Xiong WuDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Pin-Ming LiuDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Jing-Feng WangDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Hai-Feng ZhangDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China. Electronic address: zhanghf9@mail.sysu.edu.cn.
Yang-Xin ChenDepartment of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China; Guangzhou Key Laboratory of Molecular Mechanism and Translation in Major Cardiovascular Disease, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China. Electronic address: chenyx39@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep patterns and frailty phenotypes are becoming increasingly important metrics for assessing cardiovascular disease (CVD) risk; however, research investigating their synergistic effects on major adverse cardiac events (MACE) remains scarce.

objectivesThis study aimed to investigate how sleep patterns and frailty phenotypes jointly influence MACE.

methodsA total of 380,105 participants from the UK Biobank were included for the analysis. Frailty phenotypes and sleep patterns were defined based on the frailty scores and sleep scores, respectively. Cox proportional hazards models were used to evaluate the associations between combinations of frailty phenotypes and sleep patterns and MACE, including nonfatal myocardial infarction, stroke, or CVD-related death.

resultsAfter a median follow-up period of 12.94 years (Q1-Q3: 12.23-13.64 years), 18,074 participants experienced incident MACE, with an incidence rate of 3.73 per 1,000 person-years (95% CI: 3.68-3.79). Compared with participants with frailty and poor sleep patterns, nonfrail participants with healthy sleep patterns have the lowest risk of MACE (HR: 0.560; 95% CI: 0.445-0.704; P < 0.001) and other secondary outcomes. Maintaining a healthy sleep pattern was associated with a reduced risk of MACE among the pre-frail participants (HR: 0.815; 95% CI: 0.732-0.853; P < 0.001). These findings remained robust across a series of sensitivity analyses and various subgroups.

conclusionsMaintaining a healthy sleep pattern and a nonfrail status were jointly associated with a significantly decreased risk of MACE. These results emphasize the importance of promoting sleep health to mitigate CVD risk in prefrail participants.

Indexed as

frailtymajor adverse cardiovascular eventsrisk factorssleep patterns

Identifiers

PMID40944683
PMCPMC12673830

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.