Evaluation of the Modified HASBLED Score for Prediction of In-hospital Mortality in Patients with COVID-19
Year: 2021
Type: article
Study design: Observational Study
Abstract: Objective: The COVID-19 outbreak continues to be the common cause of deaths worldwide in recent times. Preventing poor outcomes (death, intubation, non-invasive ventilation, need for intensive care) is the first goal for hospitalized patients. Identifying high-risk patients during hospitalization can provide more effective follow-up and treatment. The HASBLED score is highly predictive for bleeding events in atrial fibrillation patients. We used the HASBLED score to identify patients with frailty, vulnerability, and comorbid diseases, not as a bleeding score. So, we used albumin level instead of labile INR in the score because it shows both the nutritional status and inflammation. We aim to evaluate the modified HASBLED score for predicting mortality and poor outcomes in hospitalized COVID-19 patients. Method: In total, 2850 hospitalized COVID-19 patients were screened retrospectively and, after the exclusions, 2041 patients were included in the study. The patients were divided into two groups according to the M-HASBLED score as
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4200519864