Evidence map›Paper›PMID 41430132›Full record

ArticleBMC infectious diseases2025

Validation of China's 2025 high-risk criteria in RT-PCR-confirmed chikungunya inpatients: a single-centre retrospective cohort.

Shuqi Yang, Zimei Wan, Liting Zhan, Huatang Zhang, Yijie Lin, Zhangyan Weng, Xing Wang, Zhijun Su, Xueping Yu

Abstract readValidation Study
In one paragraph

Article in BMC infectious diseases, 2025. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Shuqi Yang *Department of Infectious Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian Province, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian, China.
Zimei Wan *Department of Infectious Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian Province, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian, China.
Liting Zhan *Department of Infectious Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian Province, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian, China.
Huatang ZhangDepartment of Infectious Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian Province, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian, China.
Yijie LinDepartment of Infectious Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian Province, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian, China.
Zhangyan WengDepartment of Infectious Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian Province, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian, China.
Xing WangDepartment of Infectious Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian Province, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian, China.
Zhijun SuDepartment of Infectious Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian Province, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian, China. su2366@sina.com.
Xueping YuDepartment of Infectious Disease, Clinical Medical Research Center for Bacterial and Fungal Infectious Diseases of Fujian Province, Fujian Medical University Affiliated First Quanzhou Hospital, Quanzhou, Fujian, China. xpyu15@fudan.edu.cn.

Funding

Fujian Provincial Major Scientific and Technological Innovation Project 2023Y9269National Natural Science Foundation of China 82570707Natural Science Foundation of Fujian Province 2023J01239
6 · The paper itself

Abstract

backgroundChina’s 2025 clinical guideline designates age ≥ 65 years, pregnancy, and chronic comorbidity as patient categories requiring prioritized monitoring; quantitative validation in inpatients is lacking.

methodsWe conducted a single‑centre retrospective cohort including 131 consecutive RT‑PCR-confirmed patients admitted during an imported outbreak (1 August−30 September 2025). Patients meeting any high‑risk criterion were classified as high‑risk. The primary endpoint was length of stay (LOS). Secondary endpoints were prolonged hospitalisation (≥ 7 days), prolonged fever (≥ 3 days), and an acute laboratory‑injury composite at admission defined as at least one abnormality among seven routine tests. LOS was modelled using a Gamma generalised linear model (log link). Binary endpoints used robust Poisson regression adjusted for prespecified covariates. For the composite endpoint, available‑case analysis provided the primary estimate (missing D‑dimer values were treated as normal). Multiple imputation (MI; m = 10) and inverse‑probability weighting (IPW) analyses were prespecified sensitivity checks.

resultsFifty‑three of 131 patients (40.5%) were high‑risk. High‑risk status was associated with longer LOS (time ratio 1.15; adjusted mean + 0.69 days; 95% CI 0.06–0.28). Under MI, high‑risk patients had a higher probability of acute laboratory injury at admission (aRR 1.37; 95% CI 0.87–2.17; P = 0.174). Sensitivity analyses yielded attenuated and method‑dependent estimates; the IPW model gave an aRR of 1.19 (95% CI 0.88–1.61; P = 0.253), indicating sensitivity to missing‑data assumptions. No patients required ICU admission or died (0/131).

conclusionChina’s 2025 high‑risk criteria identify chikungunya inpatients with longer LOS, supporting targeted early monitoring and resource planning. The admission laboratory‑injury signal was sensitive to missing‑data modelling and should be interpreted cautiously pending external validation.

Indexed as

Chikungunya FeverChikungunya virusAdultAgedAged, 80 and overChinaDisease OutbreaksFemaleHumansInpatientsLength of StayMaleMiddle AgedRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionArboviral infectionsChikungunyaChinaNeglected tropical diseasesRisk stratificationVector-borne diseases

Identifiers

PMID41430132
PMCPMC12752012

What Socratic holds

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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 Socratic graph.