Model to Predict Coinfection in Elderly Patients With COVID-19

NCT06321367 | Completed DMC

• 5 other identifiers: 20240100282070613823706382022RC12122023JJ10095
• Study Type: observational
• Target: 1,000
• Locations: 1 country
• Sites: 1

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.

Conditions

Covid19

Keywords

COVID-19; elderly; nomogram; coinfections; diagnosis

Outcome Measures

Primary Outcomes (1)

• 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.

  from admission to 7 days after admission

Study Arms (2)

elderly COVID-19 patients with coinfection

elderly COVID-19 without coinfection

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Elderly COVID-19 patients admitted into Xiangya Hospital of Central South University (in Changsha, Hunan) and Xiangya Hospital of Central South University, Jiangxi (in Nanchang, Jiangxi)

You may qualify if:

• 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.

You may not qualify if:

• Age less than 65 years old;
• Pregnancy;
• Hospitalization less than one day;
• Outpatients;
• Patients with missing or incomplete information.

Sponsors & Collaborators

• Xiangya Hospital of Central South University: lead

Study Sites (1)

Xiangya Hospital of Central South University

Changsha, Hunan, 410000, China

Location

MeSH Terms

Conditions

COVID-19; Coinfection; Disease

Condition Hierarchy (Ancestors)

Pneumonia, Viral; Pneumonia; Respiratory Tract Infections; Infections; Virus Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Lung Diseases; Respiratory Tract Diseases; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Target Duration: 4 Weeks
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: March 19, 2024
• First Posted: March 20, 2024
• Study Start: December 20, 2022
• Primary Completion: June 30, 2023
• Study Completion: June 30, 2023
• Last Updated: March 21, 2024

Record last verified: 2024-03

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)