ECG markers for mortality prediction in COVID-19
- Conditions
- Health Condition 1: B972- Coronavirus as the cause of diseases classified elsewhere
- Registration Number
- CTRI/2022/04/041892
- Lead Sponsor
- Yenepoya University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 150
For the Retrospective Cohort:
Medical records of adult COVID-19 patients admitted to COVID ward of Yenepoya Medical College Hospital, which have records of the RT-PCR positive report, clinical stage at admission, the clinical outcome at discharge, and 2 clear ECG tracings, will be included.
For the prospective cohort:
Adult COVID-19 positive patients admitted to Yenepoya Medical College & Hospital
For the retrospective cohort:
No exclusion criteria
For the prospective cohort:
Adult COVID-19 positive patients who are terminally ill and not expected to survive 24 hours
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Identification of markers of mortality on the 12-lead, resting, surface electrocardiogramTimepoint: Day 1 <br/ ><br>Day 3
- Secondary Outcome Measures
Name Time Method Correlation with demographic variables like age, gender and BMITimepoint: 14 day clinical outcome (expired or survived)