Evaluation of the Modified HASBLED Score for Prediction of In-hospital Mortality in Patients with COVID-19

Autor: Burhan Aslan, Ümit İnci, Ferhat Işık, Mehmet Zülküf Karahan, Murat Çap, İsmail Tatlı, Bedrettin Boyraz, Metin Okşul
Rok vydání: 2021
Předmět:
Zdroj: Volume: 48, Issue: 4 746-753
Dicle Tıp Dergisi
Dicle Medical Journal, Vol 48, Iss 4, Pp 746-753 (2021)
ISSN: 1300-2945
1308-9889
Popis: 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
Databáze: OpenAIRE