دورية أكاديمية
Predictors of arrhythmias in the population hospitalized for SARS-CoV-2.
| العنوان: | Predictors of arrhythmias in the population hospitalized for SARS-CoV-2. |
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| المؤلفون: | Evbayekha E; Department of Internal Medicine, St. Luke's Hospital, St. Louis, MO, US. Electronic address: endurance.evbayekha@stlukes-stl.com., Ezenna C; Department of Internal Medicine, University of Massachusetts-Baystate Medical Center, Springfield, MA, USA., Bpharm EEO; University of Health Science and Pharmacy, St. Louis, MO, USA., Erebor OD; Department of Internal Medicine, Mthatha Regional Hospital, Mthatha, Eastern Cape, South Africa., Tran MH; Baptist Health - UAMS., Ejike AC; Federal University Teaching Hospital Owerri, Nigeria., Okobi O; Larkin Community Hospital, FL., Cooper J; Department of Electrophysiology, St. Luke's Hospital, St. Louis, MO, USA. |
| المصدر: | Current problems in cardiology [Curr Probl Cardiol] 2024 Nov; Vol. 49 (11), pp. 102792. Date of Electronic Publication: 2024 Aug 11. |
| نوع المنشور: | Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7701802 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1535-6280 (Electronic) Linking ISSN: 01462806 NLM ISO Abbreviation: Curr Probl Cardiol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: [Amsterdam] : Elsevier Original Publication: Chicago, Year Book Medical Publishers. |
| مواضيع طبية MeSH: | COVID-19*/epidemiology , Arrhythmias, Cardiac*/epidemiology , Hospitalization*/statistics & numerical data , SARS-CoV-2*, Humans ; Female ; Male ; Middle Aged ; Aged ; Risk Factors ; United States/epidemiology ; Risk Assessment/methods |
| مستخلص: | Background: Studies exploring predictors of arrhythmias in the population primarily hospitalized for SARS-CoV-2 (COVID-19) are scarce. Understanding this is crucial for risk stratification and appropriate management. Methods: Using the 2020 National Inpatient Sample (NIS) database, we identified primary admissions for COVID-19. A 'greedy neighbor' 1:1 propensity-score matching (PSM) accounted for baseline differences. Then, multivariable logistic regression models were employed to account for confounders and estimate the probability of arrhythmia. Results: There were a total of 1,058,815 admissions for COVID-19 (mean age 64.3 years ±16.8), 47.2% female, 52.5% (107698) White, 18.5% (37973) Blacks, and 20.7% (42,447) Hispanics. Atrial fibrillation was the most prevalent arrhythmia, 15.1% (31,942). After PSM, 166,405 arrhythmia hospitalizations were matched to 166,405 hospitalizations without arrhythmia. Sick sinus syndrome 4.9 (4.4-5.5), dyslipidemia 1.2 (1.2-1.3), cardiac arrest 1.3 (1.1-1.4), invasive mechanical ventilation 1.9 (1.8-2.0) and obesity 1.3 (1.2-1.4), (p<0.0001, all) were all independent predictors of arrhythmias. Conclusions: Our analysis revealed a notable proportion of hospitalized COVID-19 patients with arrhythmias. Dyslipidemia, obesity, sick sinus syndrome, invasive mechanical ventilation, and cardiac arrest were independent predictors of arrhythmias. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024. Published by Elsevier Inc.) |
| فهرسة مساهمة: | Keywords: Arrhythmias; COVID-19; Coronavirus; In-hospital outcomes; National inpatient sample; Predictors; SARS-Cov-2 |
| تواريخ الأحداث: | Date Created: 20240813 Date Completed: 20240912 Latest Revision: 20240912 |
| رمز التحديث: | 20240913 |
| DOI: | 10.1016/j.cpcardiol.2024.102792 |
| PMID: | 39137880 |
| قاعدة البيانات: | MEDLINE |
Full Text via ClinicalKey 
Full Text Finder | تدمد: | 1535-6280 |
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| DOI: | 10.1016/j.cpcardiol.2024.102792 |