Increased cardiomyopathy risk after viral infection evidence from a nationwide cohort in Taiwan

Viral infections have been linked to myocarditis and may contribute to the development of cardiomyopathy. However, large-scale population-based evidence remains limited. This study aimed to investigate the association between viral infections and the subsequent risk of cardiomyopathy using Taiwan's Longitudinal Generation Tracking Database (LGTD). We conducted a nationwide, retrospective cohort study using Taiwan's National Health Insurance Research Database/LGTD. Individuals with a first recorded viral infection were matched to unexposed controls using 1:4 propensity scores incorporating demographics, comorbidities, medications, healthcare utilization, and index year. Incident cardiomyopathy was ascertained from ICD-9-CM diagnosis codes in claims data, without clinical adjudication or imaging confirmation. Risks were estimated using Cox proportional hazards models to obtain adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). Robustness was assessed via Fine-Gray competing-risk models for death, proportional-hazards diagnostics, alternative exposure/lag definitions, and prespecified subgroup analyses by age, sex, comorbidity burden, and virus categories. Over a mean follow-up of approximately 10 years, the incidence rate of cardiomyopathy was higher in the viral infection group (98.42 per 100,000 person-years) than in the control group (45.69 per 100,000 person-years). Viral infection was significantly associated with increased risk of cardiomyopathy (aHR = 2.915, 95% CI 1.177-4.828, p < 0.001). Subgroup analyses showed consistent risk elevation across sex (male aHR = 2.775; female aHR = 3.097), age groups, income levels, seasons, and urbanization levels (all p < 0.05). Among viral subtypes, viral hepatitis (aHR = 3.435), influenza (aHR = 3.002), and viral pneumonia (aHR = 3.091) were most strongly associated with cardiomyopathy. In this population-based cohort, viral infection was associated with increased long-term risk of cardiomyopathy. Given that outcomes were identified from administrative codes without clinical or imaging validation, causal inference is not warranted; however, the findings support post-infection cardiovascular surveillance and prevention strategies. Further studies integrating adjudicated clinical data, imaging, and biomarkers are needed to clarify mechanisms and refine risk stratification.

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Publication Details

Journal
Scientific Reports
Published
2025-11-24
DOI
https://doi.org/10.1038/s41598-025-25454-x
Primary Topic
Viral Infections and Immunology Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Increased cardiomyopathy risk after viral infection evidence from a nationwide cohort in Taiwan

Ren‐Jei Chung, Chi‐Hsiang Chung, Wu‐Chien Chien, Pi-Ching Yu et al.
Scientific Reports
Viral Infections and Immunology Research
article

Increased cardiomyopathy risk after viral infection evidence from a nationwide cohort in Taiwan

Ren‐Jei Chung, Chi‐Hsiang Chung, Wu‐Chien Chien, Pi-Ching Yu, Chien‐Sung Tsai, Yi‐Chang Lin, Yao-Ching Huang, Shi-Hao Huang, Li‐Yun Fann, Ho‐Tsung Hsin, Bing‐Long Wang, Tsu‐Hsuan Weng
article en

Abstract

Viral infections have been linked to myocarditis and may contribute to the development of cardiomyopathy. However, large-scale population-based evidence remains limited. This study aimed to investigate the association between viral infections and the subsequent risk of cardiomyopathy using Taiwan's Longitudinal Generation Tracking Database (LGTD). We conducted a nationwide, retrospective cohort study using Taiwan's National Health Insurance Research Database/LGTD. Individuals with a first recorded viral infection were matched to unexposed controls using 1:4 propensity scores incorporating demographics, comorbidities, medications, healthcare utilization, and index year. Incident cardiomyopathy was ascertained from ICD-9-CM diagnosis codes in claims data, without clinical adjudication or imaging confirmation. Risks were estimated using Cox proportional hazards models to obtain adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs). Robustness was assessed via Fine-Gray competing-risk models for death, proportional-hazards diagnostics, alternative exposure/lag definitions, and prespecified subgroup analyses by age, sex, comorbidity burden, and virus categories. Over a mean follow-up of approximately 10 years, the incidence rate of cardiomyopathy was higher in the viral infection group (98.42 per 100,000 person-years) than in the control group (45.69 per 100,000 person-years). Viral infection was significantly associated with increased risk of cardiomyopathy (aHR = 2.915, 95% CI 1.177-4.828, p < 0.001). Subgroup analyses showed consistent risk elevation across sex (male aHR = 2.775; female aHR = 3.097), age groups, income levels, seasons, and urbanization levels (all p < 0.05). Among viral subtypes, viral hepatitis (aHR = 3.435), influenza (aHR = 3.002), and viral pneumonia (aHR = 3.091) were most strongly associated with cardiomyopathy. In this population-based cohort, viral infection was associated with increased long-term risk of cardiomyopathy. Given that outcomes were identified from administrative codes without clinical or imaging validation, causal inference is not warranted; however, the findings support post-infection cardiovascular surveillance and prevention strategies. Further studies integrating adjudicated clinical data, imaging, and biomarkers are needed to clarify mechanisms and refine risk stratification.

Scientific ReportsVol. 15(1)
National Taipei University of Technology (TW), Ministry of National Defense (KR), Asia University (TW), Tzu Chi College of Technology (TW), Tzu Chi University (TW), National Taipei University of Nursing and Health Science (TW), Taipei Tzu Chi Hospital (TW), Far Eastern Memorial Hospital (TW), Taiwan Nurses Association (TW), National Defense Medical Center (TW), Yuan Ze University (TW)
Ministry of Defense, Tri-Service General Hospital, Health and Welfare Data Science Center, Medical Affairs Bureau
Openalex Percentile: Top 47%
Viral Infections and Immunology Research
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