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Uveitis as a potential predictor of acute myocardial infarction in patients with Behcet’s disease: a population-based cohort study
OBJECTIVES: To investigate whether uveitis is a predictor of acute myocardial infarction (AMI) among patients with Behcet’s disease (BD). DESIGN: Retrospective cohort study. SETTING: Patients with BD were retrieved from the whole population of the Taiwan National Health Insurance Research Database f...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813367/ https://www.ncbi.nlm.nih.gov/pubmed/33452196 http://dx.doi.org/10.1136/bmjopen-2020-042201 |
Sumario: | OBJECTIVES: To investigate whether uveitis is a predictor of acute myocardial infarction (AMI) among patients with Behcet’s disease (BD). DESIGN: Retrospective cohort study. SETTING: Patients with BD were retrieved from the whole population of the Taiwan National Health Insurance Research Database from 1 January 2001 to 31 December 2013. PARTICIPANTS: Among the 6508 patients with BD, 2517 (38.7%) were in the uveitis group and 3991 were in the non-uveitis group. PRIMARY AND SECONDARY OUTCOME MEASURES: Kaplan-Meier curves were generated to compare the cumulative hazard of AMI in the uveitis and non-uveitis groups. Multivariate Cox regression analysis was used to estimate the adjusted HRs and 95% CI of AMI, and was adjusted for age, gender, systemic comorbidities (eg, hypertension, diabetes, hyperlipidaemia, smoking) and clinical manifestation of BD (eg, oral ulcers, genital ulcers, skin lesions, arthritis and gastrointestinal involvement). RESULTS: The mean age of the BD cohort was 38.1±15.1 years. Compared with non-uveitis patients, uveitis patients were significantly younger and male predominant. There was no significant difference between the two groups for most proportions of systemic comorbidities and clinical manifestations. The Kaplan-Meier method with the log-rank test showed that the uveitis group had a significantly higher cumulative hazard for patients with AMI compared with the non-uveitis group (p<0.0001). In the multivariable Cox regression after adjustment for confounding factors, patients with uveitis had a significantly higher risk of AMI (adjusted HR 1.87; 95% CI 1.52 to 2.29). Other significant risk factors for AMI were age, hypertension, smoking, and skin lesions. CONCLUSIONS: Statistical analyses from the nationwide database demonstrated that uveitis is a potential predictor of AMI in patients with BD. |
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