Health Condition 1: J128- Other viral pneumonia
Conditions
Interventions
None listed
Sponsors
Self
Eligibility
Inclusion criteria
Inclusion criteria: All patients screened for COVID infection
Exclusion criteria
Exclusion criteria: Absence of consent Patients <18 y of age
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1. Range and extent of conduction tissue abnormalities due to COVID-19 infection at admission , during admission and at discharge . 2. Attempts for continuous monitoring shall be made since a point evaluation for the patient may not be useful given the varying incidence and transient nature of the cardiovascular manifestationsTimepoint: The data shall be collected through out the course of admission of admission of the patients and the algorithm shall be created once we have sufficient patient number to create an algorithm using machine learning and deep learning techniques Anticipated time period 1. Day of admission Day 0 2. Day of discharge day 14 3. Creation of algorithm : 6months after the enrolment of the last patient | — |
Secondary
| Measure | Time frame |
|---|---|
| Echocardiographic Outcomes in Patients with COVID-19 Timepoint: 1 year since date of approval;Creation and assessment of artificial intelligence-based ECG Screening tool for the diagnosis and prognosis of the disease Timepoint: 1 year since date of approval | — |
Countries
India
Contacts
Public ContactDr Jayaprakash Shenthar
Sri Jayadeva Institute of Cardiovascular Sciences and Research
Outcome results
None listed