Objectives
This study aims to describe the demographic and clinical profile and ascertain the determinants of outcome among hospitalised COVID-19 adult patients enrolled in the National Clinical Registry for COVID-19 (NCRC).
Methods
NCRC is an on-going data collection platform operational in 42 hospitals across India. Data of hospitalized COVID-19 patients enrolled in NCRC between 1st September 2020 to 26th October 2021 were examined.
Results
Analysis of 29,509 hospitalised, adult COVID-19 patients [mean (SD) age: 51.1 (16.2) year; male: 18752 (63.6%)] showed that 15678 (53.1%) had at least one comorbidity. Among 25715 (87.1%) symptomatic patients, fever was the commonest symptom (72.3%) followed by shortness of breath (48.9%) and dry cough (45.5%). In-hospital mortality was 14.5% (n = 3957). Adjusted odds of dying were significantly higher in age-group ≥60 years, males, with diabetes, chronic kidney diseases, chronic liver disease, malignancy, and tuberculosis, presenting with dyspnea and neurological symptoms. WHO ordinal scale 4 or above at admission carried the highest odds of dying [5.6 (95% CI: 4.6, 7.0)]. Patients receiving one [OR: 0.5 (95% CI: 0.4, 0.7)] or two doses of anti-SARS CoV-2 vaccine [OR: 0.4 (95% CI: 0.3, 0.7)] were protected from in-hospital mortality.
Conclusions
WHO ordinal scale at admission is the most important independent predictor for in-hospital death in COVID-19 patients. Anti-SARS-CoV2 vaccination provides significant protection against mortality.
Background: A nosocomial infection is that which is acquired in a hospital or other health care agency upto 48 hours after hospital admission, upto 3 days after discharge, upto 30 days after an operation or was admitted to hospital for other reasons other than the infection. Nurses have the major role to prevent the hospital acquired infection. Appropriate knowledge and practice in preventing nosocomial infection is important in their in their day to day patient care. Objective: To assess the knowledge and practice to control nosocomial infection & also to find out the association between knowledge and practice to control nosocomial infection with the selected demographic variables. Material & Methods: The study was conducted in different wards of Hi-Tech Medical College & Hospital, BBSR. The sample size was 122 and the universal sampling technique was used. After obtaining written informed consent from the study participants, data was collected using two standardized tool. Knowledge was assessed by a scoring key and practice was assessed by likert scale. The association of knowledge and practice with demographic variables was analysed using chi square test. Results: 89.4% of staff nurses were females, 39.3% were in the age group of 31-40 years. and majority (51.6%) were GNM. There was no significant association (p<0.05) found, neither with knowledge nor with practice, with different demographic variables.
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