Relationship Between Potential Predictors and Mortality in COVID-19 Patients in Turkey: A New Prognostic Model
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Covid19
- Sponsor
- Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey
- Enrollment
- 816
- Locations
- 1
- Primary Endpoint
- mortality rate
- Status
- Completed
- Last Updated
- 4 years ago
Overview
Brief Summary
In this study, the investigators planned to examine the laboratory characteristics of patients hospitalized with the diagnosis of Covid-19 and to investigate their relationship with mortality.
Detailed Description
SARS-CoV-2 infection is effective in many countries and has caused pandemics. It is observed that it affects patients in a wide spectrum in terms of their clinical features worldwide. It is known that age, gender, and comorbidity play an important role in the course of the disease. Although mortality rates vary from country to country, there is no clear information due to the fact that the pandemic has not yet ended. In this study, the investigators planned to examine the laboratory characteristics of patients hospitalized with the diagnosis of Covid-19 and to investigate their relationship with mortality in Istanbul city which is the most affected by the pandemic in Turkey
Investigators
Eligibility Criteria
Inclusion Criteria
- •All patients who are 18 years of age and older, positive for SARS-CoV-2 PCR test and / or Covid-19 disease findings on CT will be included in the study.
Exclusion Criteria
- •Patients with negative SARS-CoV-2 PCR test, pneumonia on CT but not given Covid-19 treatment by not considering Covid-19 by their doctor will not be included.
Outcomes
Primary Outcomes
mortality rate
Time Frame: up to 30 days
up to 30 days after discharge
Secondary Outcomes
- need for intensive care unit rate(up to 30 days)
- length stay in hospital(up to 30 days)