Evidence map›Paper›PMID 40291163›Full record

ArticleClinical interventions in aging2025

Intrinsic Capacity Deficits and 6-Month Outcomes in Older Adults with Acute LRTIs: A Multi-Center Study.

Bingxuan Weng, Jin Jin, Lixue Huang, Wenshu Jiao, Mengyuan Wang, Xinyue Zhang, Xunliang Tong, Yanming Li

Abstract readMulticenter Study
In one paragraph

Article in Clinical interventions in aging, 2025. 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. 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

8 authors.

Bingxuan Weng *Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Jin Jin *Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Lixue HuangDepartment of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Wenshu JiaoDepartment of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Mengyuan WangDepartment of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Xinyue ZhangDepartment of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Xunliang TongDepartment of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Yanming LiDepartment of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Intrinsic capacity (IC), representing an individual's physical and mental abilities, is associated with adverse outcomes. Acute lower respiratory tract infections (LRTIs) contribute to poor long-term prognosis, yet effective assessment and intervention strategies remain limited. Given the critical role of IC in the aging population, understanding its prevalence and impact in older adults with LRTIs is crucial for improving management strategies. This study aims to characterize the domains and patterns of IC deficits and assess their influence on 6-month mortality and re-hospitalization in this population. Methods: This was a multi-center prospective cohort study conducted in China. Patients aged over 65 years hospitalized for acute LRTIs were consecutively enrolled and underwent IC evaluations upon admission between April 15, 2021, and January 15, 2023. Outcomes included 6-month mortality and re-hospitalization. Latent class analysis identified patterns of IC deficits, and multivariable logistic regression models assessed associations between IC deficit domains/patterns and adverse outcomes. Results: A total of 1,001 older patients were included, with a mean age of 76 years (IQR: 69-84). Most of (839, 83.8%) the patients had at least one IC domain deficit. The 6-month re-hospitalization and mortality rates were 20.7% (190/933) and 7.7% (70/914). More domains of IC deficits, particularly in cognition (OR 1.873) and vitality (OR 1.737) deficits were associated with increased 6-month re-hospitalization rates. Three distinct IC deficit patterns were identified: relatively robust (73.5%), limited vitality and locomotion (18.6%), and impaired cognition, vision, and hearing group (7.9%). Compared to the relatively robust group, the limited vitality and locomotion group had a significantly higher risk of re-hospitalization (OR 2.025, 95% CI 1.388-2.932). Conclusion: IC deficits were prevalent and associated with increased re-hospitalization in older adults with LRTIs. Early detection and targeted interventions may reduce re-hospitalization rates and improve patient outcomes.

Indexed as

Respiratory Tract InfectionsAcute DiseaseAgedAged, 80 and overChinaFemaleGeriatric AssessmentHumansMalePatient ReadmissionPrognosisProspective Studiesacute lower respiratory tract infectionsICOPEintrinsic capacitylong-termolder adults

Identifiers

PMID40291163
PMCPMC12034263

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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.