ABSTRACT
Objective: To determine the barriers to the maintenance of COVID 19 cross infection control protocols among medical and dental practitioners Methodology: A cross sectional study was conducted in College of Dentistry, Sharif Medical and Dental College, Lahore from July 2021 to July 2022 on medical and dental practitioners. The sampling technique employed was convenient sampling. Medical and dental practitioners irrespective of their age, gender and specialty of practice were included in the study. Data was collected using a pre-validated questionnaire with a Cronbach alpha value of 0.7. Result(s): There was s statistically significant difference in the scores of barriers to maintenance of COVID 19 cross infection control protocols of overcrowding in the hospital (p= <=0.001), limitation of infection control material (p=<=0.001), insufficient training in infection control (p=0.05), lack of handwashing (p=0.022), not wearing a mask while examining the patient (p=<=0.001) and lack of knowledge about mode of transmission of COVID 19 (P=0.036) Conclusion(s): The barriers faced to maintenance of cross infection control protocols pertaining to the hospital administration were reported to be higher for medical practitioners in comparison to the dental practitioners. The barriers faced to maintenance of cross infection control protocols pertaining to the attitude and practices of health care workers were also higher for medical practitioners in comparison to the dental practitioners. Copyright © 2022 Lahore Medical And Dental College. All rights reserved.
ABSTRACT
Purpose: The rapid spread of severe acute respiratory syndrome coronavirus-2 infection resulted in an exponential increase in hospitalizations and mortality. We aimed to explore the determinants of mortality and formulate a score that can predict mortality in patients hospitalized due to coronavirus disease 2019 (COVID-19). Materials and Methods: In this retrospective study, 1024 COVID-19 patients hospitalized between March 2020 and October 2020 were included. Patient demographics, underlying comorbid illnesses, clinical features, vital signs at admission, disease severity, and laboratory parameters, were collected from hospital medical records and analyzed to derive risk factors for in-hospital mortality and formulate a mortality prediction score. Results: The median age of the study population was 56 years (interquartile range [IQR], 45-65) and was significantly higher in nonsurvivors than in survivors (62 [IQR 55-70] vs. 52 [IQR 40-65];P = 0.001). Hypertension and diabetes were the most common associated comorbid illnesses seen in 50.5% (n = 518) and 29.1% (n = 299) of patients, respectively. The presence of altered level of consciousness (C), azotemia with serum creatinine >1.5 mg/dl (A), respiratory rate >25/min (R), interleukin-6 >25 pg/ml (I), and age >= 65 years were independent predictors of mortality. A six-point COVID-19 mortality prediction score, "CARI-65," was developed using variables predicting mortality in multivariate regression analysis. The CARI-65 score >= 3 had a sensitivity and specificity of 87.1% and 57.3%, respectively, and positive and negative predictive values of 42.52% and 92.45%, respectively, in predicting mortality. Conclusion: This study demonstrated various demographic, clinical, and laboratory parameters that predict mortality in hospitalized COVID-19 patients. We also proposed a simple risk stratification score to predict mortality in hospitalized COVID-19 patients, so that effective triaging of patients can be done to utilize health-care resources efficiently.