Model to Predict Coinfection in Elderly Patients With COVID-19
- Conditions
- Covid19
- Registration Number
- NCT06321367
- Lead Sponsor
- Xiangya Hospital of Central South University
- Brief Summary
The goal of this observational study is to learn about the clinical characteristics and construction of a predictive model in elderly COVID-19 patients. The main question it aims to answer is the main clinical characteristics and risk factors of elderly COVID-19 patients. Participants will not be asked to do any other intervening measure.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1000
- Age greater than or equal to 65 years old;
- COVID-19 was diagnosed with SARS-CoV-2 reverse transcription-polymerase chain reaction positive or rapid antigen test positive or a clinical diagnosis made by the radiological responsible clinician based on signs, symptoms, or radiology consistent with COVID-19;
- Hospitalization more than one day, including patients in emergency.
- Age less than 65 years old;
- Pregnancy;
- Hospitalization less than one day;
- Outpatients;
- Patients with missing or incomplete information.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Coinfection from admission to 7 days after admission The investigators defined coinfection as coinfected bacteria, fungi, or other viruses with SARS-CoV-2 that occurred from admission to 7 days after admission. If a diagnosis was at the time of or within the first 48 hours of COVID-19 hospital admission, these infections were defined as community-acquired infections. If diagnosis occurred ≥48 hours to 7 days after admission for COVID-19, these infections were defined as early-onset hospital-acquired infections.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Xiangya Hospital of Central South University
🇨🇳Changsha, Hunan, China