Comorbid as risk factor for the Mortality of COVID-19 patients treated at Dr. MDjamil Padang General Hospital
Yessy Susanty Sabri
, Dewi Wahyu Fitrina , Afriani Afriani , Irvan Medison , Oea Khairsyaf
Comorbidities, COVID-19, Risk Factor, patient, Mortality
Abstract
Backgorund: COVID-19 has spread rapidly throughout the world, with high morbidity and mortality. Comorbidities can be a major risk factor for aggravating and dying in COVID-19 patients.
Aim: This study aims to assess the comorbid risk factors for the death of COVID-19 patients treated at Dr. M. Djamil Padang.
Methods: This observational analytic study was conducted with a retrospective cohort design on COVID-19 patients at Dr. M. Djamil General Hospital Padang. Data were taken from medical records from January to Juli 2021. The Association between comorbidities and the outcome of COVID-19 patients was analyzed using Chi-Square/Fisher Exact Test.
Result: Most patients were female (56.39%) and aged over 50 years (39.65%). Hypertension was the most common comorbidity (39.60%). Obesity is the most comorbid cause of death (35.00%). Cerebrovascular disease, immunodeficiencies (RR=1.885), and underweight BMI (RR=1.637) is the mortality risk factors for COVID-19.
Conclusion: COVID-19 patients treated at Dr. M. Djamil Padang General Hospital are mostly female and less than 50 years old. Cerebrovascular disease is the highest comorbid risk factor for COVID-19 mortality.
"Comorbid as risk factor for the Mortality of COVID-19 patients treated at Dr. MDjamil Padang General Hospital ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d534-d541, March-2023, Available :https://ijnrd.org/papers/IJNRD2303372.pdf
Volume 8
Issue 3,
March-2023
Pages : d534-d541
Paper Reg. ID: IJNRD_188812
Published Paper Id: IJNRD2303372
Downloads: 000118837
Research Area: Health Science
Country: Padang, Indonesia, Indonesia
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave