Analysis of arrhythmia and its risk factors in patients with COVID-19
Wenzhao Guan1, Meihua Liu2,3,4, Shuling Rong4
1Department of Stomatology, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Insights
This study identified key risk factors for arrhythmia in COVID-19 patients, including elevated heart rate, prothrombin time (PT), high-sensitivity troponin I (hs-TnI), end-systolic volume (ESV), serum potassium, blood glucose, and diabetes.
Area of Science:
- Cardiology
- Infectious Diseases
- Public Health
Background:
- Arrhythmia is a significant concern in COVID-19 patients.
- Understanding the incidence and risk factors for arrhythmia is crucial for patient management.
Purpose of the Study:
- To investigate the incidence of arrhythmia in COVID-19 patients.
- To identify and analyze the risk factors associated with arrhythmia in this population.
Main Methods:
- Retrospective cross-sectional study of 324 COVID-19 patients (2020-2022).
- Collected general data, vital signs, myocardial enzyme, and imaging data.
- Utilized multivariate logistic regression and ROC curve analysis to identify risk factors and assess predictive efficacy.
Main Results:
- COVID-19 patients with arrhythmia showed significant differences in heart rate, PT, hs-TnI, ESV, serum potassium, blood glucose, and diabetes compared to those without.
- Multivariate analysis confirmed heart rate, PT, hs-TnI, ESV, serum potassium, blood glucose, and diabetes as independent risk factors.
- The ROC curve demonstrated good predictive efficacy for arrhythmia (AUC = 0.773).
Conclusions:
- Elevated heart rate, prolonged PT, elevated hs-TnI, increased ESV, abnormal serum potassium, hyperglycemia, and diabetes are significant risk factors for arrhythmia in COVID-19 patients.
- These findings aid in identifying high-risk individuals and managing cardiac complications during COVID-19.
Background:
To investigate the incidence of arrhythmia in patients with coronavirus disease 2019 (COVID-19) and analyze its risk factors.
Methods:
This was a retrospective cross-sectional study that surveyed 324 COVID-19 patients admitted to the Second Hospital of Shanxi Medical University from 2020 to 2022. General data, vital signs, myocardial enzyme and imaging data of the patients were collected. The characteristics of COVID-19 patients with arrhythmia were analysed, and multivariate logistic regression was used to analyze the risk factors for arrhythmia in patients. The receiver operating characteristic (ROC) curve was plotted to evaluate the efficacy of the regression equation in predicting arrhythmia in COVID-19 patients.
Results:
Compared with COVID-19 patients without arrhythmia, those with arrhythmia were found to have significant differences in heart rate, prothrombin time (PT), activated partial thromboplastin time (APTT), blood glucose, uric acid, serum potassium, serum total cholesterol, high-sensitivity troponin I (hs-TnI), N-terminal pro B-type natriuretic peptide (NT-proBNP), aortic root diameter, left atrial diameter (LAD), left ventricular end-diastolic diameter (LVEDD), left ventricular ejection fraction (LVEF), fractional shortening (FS), end-systolic volume (ESV), and diabetes (all P < 0.05). Multivariate logistic regression analysis revealed that heart rate, PT, hs-TnI, ESV, serum potassium, blood glucose and diabetes were risk factors for arrhythmia in COVID-19 patients (all P < 0.05). ROC curve analysis showed that the area under the curve (AUC) was 0.773 (95%CI: 0.711-0.834, P < 0.001).
Conclusion:
Heart rate, PT, hs-TnI, ESV, serum potassium, blood glucose and diabetes are risk factors for arrhythmia in COVID-19 patients.
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