Dataset Information

Incidence and Mortality Associated with Cardiovascular Medication among Hypertensive COVID-19 Patients in South Korea.

ABSTRACT:

Purpose

We aimed to investigate whether the use of cardiovascular drugs in coronavirus disease 2019 (COVID-19) patients with hypertension as a comorbidity has a significant effect on the incidence and associated mortality rate of COVID-19.

Materials and methods

Data covering the period between January 1, 2020 and June 4, 2020 were extracted from The National Health Insurance Service-COVID-19 (NHIS-COVID-19) database in South Korea and analyzed as a population-based cohort study.

Results

A total of 101657 hypertensive adults aged 20 years or older were included for final analysis. Among them, 1889 patients (1.9%) were diagnosed with COVID-19 between January 1, 2020 and June 4, 2020, and hospital mortality occurred in 193 patients (10.2%). In a multivariable model, the use of beta-blockers was associated with an 18% lower incidence of COVID-19 [odds ratio (OR): 0.82, 95% confidence interval (CI): 0.69-0.98; p=0.029]. Among 1889 hypertensive patients diagnosed with COVID-19, the use of a calcium channel blocker (CCB) was associated with a 42% lower hospital mortality rate (OR: 0.58, 95% CI: 0.38-0.89; p=0.012). The use of other cardiovascular drugs was not associated with the incidence of COVID-19 or hospital mortality rate among COVID-19 patients. Similar results were observed in all 328374 adults in the NHIS-COVID-19 database, irrespective of the presence of hypertension.

Conclusion

In South Korea, beta-blockers exhibited potential benefits in lowering the incidence of COVID-19 among hypertensive patients. Furthermore, CCBs may lower the hospital mortality rate among hypertensive COVID-19 patients. These findings were also applied to the general adult population, regardless of hypertension.

SUBMITTER: Oh TK

PROVIDER: S-EPMC8236350 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundEarly identification of patients with coronavirus disease 2019 (COVID-19) who are at high risk of mortality is of vital importance for appropriate clinical decision making and delivering optimal treatment. We aimed to develop and validate a clinical risk score for predicting mortality at the time of admission of patients hospitalized with COVID-19.MethodsCollaborating with the Korea Centers for Disease Control and Prevention (KCDC), we established a prospective consecutive cohort of 5,628 patients with confirmed COVID-19 infection who were admitted to 120 hospitals in Korea between January 20, 2020, and April 30, 2020. The cohort was randomly divided using a 7:3 ratio into a development (n = 3,940) and validation (n = 1,688) set. Clinical information and complete blood count (CBC) detected at admission were investigated using Least Absolute Shrinkage and Selection Operator (LASSO) and logistic regression to construct a predictive risk score (COVID-Mortality Score). The discriminative power of the risk model was assessed by calculating the area under the curve (AUC) of the receiver operating characteristic curves.ResultsThe incidence of mortality was 4.3% in both the development and validation set. A COVID-Mortality Score consisting of age, sex, body mass index, combined comorbidity, clinical symptoms, and CBC was developed. AUCs of the scoring system were 0.96 (95% confidence interval [CI], 0.85-0.91) and 0.97 (95% CI, 0.84-0.93) in the development and validation set, respectively. If the model was optimized for > 90% sensitivity, accuracies were 81.0% and 80.2% with sensitivities of 91.7% and 86.1% in the development and validation set, respectively. The optimized scoring system has been applied to the public online risk calculator (https://www.diseaseriskscore.com).ConclusionThis clinically developed and validated COVID-Mortality Score, using clinical data available at the time of admission, will aid clinicians in predicting in-hospital mortality.