Evidence map›Paper›PMID 41716561›Full record

ArticleFrontiers in neurology

Analyzing the nonlinear association between length of hospital stay and post-stroke pneumonia risk a secondary analysis of the Henan Province stroke registry.

Jian Li, Qiujing Li, Lichun Zhou

Abstract read
In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Jian LiDepartment of Neurology, Beijing Chao Yang Hospital, Capital University of Medical Sciences, Beijing, China.
Qiujing LiDepartment of Public Laboratory, The Third People's Hospital of Kunming City, Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, China.
Lichun ZhouDepartment of Neurology, Beijing Chao Yang Hospital, Capital University of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Post-stroke pneumonia (SAP) is a common and serious complication in patients with acute ischemic stroke, associated with poor outcomes. Length of hospital stay (LOS) may influence SAP risk, but the dose-response relationship remains unclear. This study aimed to investigate the nonlinear association between LOS and SAP and identify potential inflection points. Methods: This secondary analysis of the Henan Province Stroke Registry included 926 acute ischemic stroke patients admitted to the First Affiliated Hospital of Zhengzhou University from January 2009 to December 2012. Multivariable logistic regression models were used to assess the association between LOS and SAP. A two-piecewise linear model was applied to detect threshold effects, with multiple imputation for missing data. Results: The overall SAP incidence was 20.4%. After adjusting for age, sex, comorbidities, and NIHSS score, each additional day of LOS increased SAP risk by 8.3% (adjusted Conclusion: LOS is positively associated with SAP in a nonlinear manner, with a steeper risk increase during the first 17 days of hospitalization. These findings suggest intensified respiratory monitoring early in admission and optimized hospitalization strategies to reduce infection risk.

Indexed as

acute ischemic strokelength of hospital stay (LOS)multivariable logistic regressionnonlinear relationshippost-stroke pneumonia (SAP)

Identifiers

PMID41716561
PMCPMC12913055

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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.