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

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

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Journal
BMC Infectious Diseases
Published
2025-12-22
DOI
https://doi.org/10.1186/s12879-025-12421-0
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
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article

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

Shuqi Yang, Yijie Lin, Liting Zhan, Huatang Zhang et al.
BMC Infectious Diseases
Mosquito-borne diseases and control
article

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

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

Abstract

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

BMC Infectious DiseasesVol. 25(1)
Fujian Medical University (CN), Second Affiliated Hospital of Fujian Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Fujian Normal University, Fujian Provincial Health Commission
Openalex Percentile: Top 27%
Mosquito-borne diseases and control
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