Clinical phenotypes of cardiac sarcoidosis by latent class analysis
نویسندگان
چکیده
Abstract Background Sarcoidosis is a systemic granulomatous disease with cardiac involvement reported in 20–27% of patients [1]. Cardiac sarcoidosis (CS) can lead to atrial or ventricular arrhythmias, various conduction system disorders, heart failure sudden death, depending on the location myocardial [2]. Previous studies have investigated possible types CS based distribution imaging as well role genetic factors [3,4]. However, there are no describing clinical heterogeneity patients. Purpose In order determine if clusters exist CS, we carried out latent class analysis (LCA) explore potential phenotypes large sample from National Inpatient Sample (NIS). Methods We identified 848 diagnosis NIS 2016–2018. A LCA was performed comorbidities. Utilizing Bayesian information criterion and Akaike's divided our study population into 3 cohorts. subsequently applied model for fit each patient one Finally, compared outcomes among groups. Results Following LCA, cohort were strongly associated cardiometabolic syndrome profile highest prevalence congestive (CHF, 95.1%), chronic kidney (CKD, 69.7%), diabetes mellitus (68.9%), hyperlipidemia (52.5%) obesity (45.1%). Patients 2 had an intermediate universal hypertension (100%) but lowest number CHF (32.5%) none CKD. 1 least comorbidities comparison other groups higher (71.7%). There significant difference mortality groups, acute respiratory 3. arrhythmias more prevalent (Table). Conclusion different their phenotype. The varied cohorts being most Funding Acknowledgement Type funding sources: None.
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ژورنال
عنوان ژورنال: European Heart Journal
سال: 2021
ISSN: ['2634-3916']
DOI: https://doi.org/10.1093/eurheartj/ehab724.2763