Model to Predict Coinfection in Elderly Patients With COVID-19

Xiangya Hospital of Central South University1,000 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

1,000

Conditions

Covid19

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * 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. Exclusion Criteria: * Age less than 65 years old; * Pregnancy; * Hospitalization less than one day; * Outpatients; * Patients with missing or incomplete information.

Locations (1)

Xiangya Hospital of Central South University

Changsha, Hunan, China

Outcomes

Primary Outcomes

Coinfection

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.

Time frame: from admission to 7 days after admission

Data from ClinicalTrials.gov

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