Covid-19 Risk Factors and Radiographic Severity Index Description in Covid-19 Patients Dr. Mohammad Hoesin Palembang 2021
Indian Journal of Forensic Medicine and Toxicology
; 16(3):63-68, 2022.
Article
in English
| EMBASE | ID: covidwho-2067687
ABSTRACT
Background:
COVID-19 is a pandemic disease caused by droplet infection from SARS-CoV-2. Due to its rapid transmission and high case fatality rate, the identification of risk factors and prognostic factors is important. Obesity is a risk factor for poor outcomes in COVID-19. It is associated with chronic inflammation, disorders of the immune system. Obesity can be determined based on BMI. Chest X-Ray is supported in establishing the diagnosis and prognosis of COVID-19 patients. Assessment of the severity index of Chest X-Ray radiographs can use the Modified Chest X-Ray Scoring System of RSUP Dr. Soetomo. This study was conducted to analyze the relationship between BMI and chest radiography severity index in hospitalized COVID-19 patients at dr. Mohammad Hoesin Palembang in 2021.Methods:
This research used a cross-sectional analytic observational design. Sampling was done using a consecutive sampling technique with 70 samples and obtained from the patient's medical record. The data were analyzed by univariate and bivariate (Chi-Square) using IBM SPSS Statistics 26 software.Results:
Patients with BMI Overweight-Obesity had more in Moderate-Severe (18.6%) radiographic severity index scores (18.6%) than Normal-Mild (15.7%). Chi-Square bivariate analysis, BMI (p=0.033;p-value <0.05) had a significant relationship with the chest radiographic severity index with Odds Ratio 3,00, 95% CI (1,073–8,386).Conclusion:
There is a significant relationship between body mass index and chest radiography severity index in COVID-19 patients. Overweight-Obesity BMI patients have a 3-fold chance of having a Moderate-Severe category of radiographic severity index compared to Underweight-Normal BMI patients.
Full text:
Available
Collection:
Databases of international organizations
Database:
EMBASE
Type of study:
Prognostic study
Language:
English
Journal:
Indian Journal of Forensic Medicine and Toxicology
Year:
2022
Document Type:
Article
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