Model to Predict Coinfection in Elderly Patients With COVID-19

NCT ID: NCT06321367

Last Updated: 2024-03-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-12-20

Study Completion Date

2023-06-30

Brief Summary

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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

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Conditions

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Covid19

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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elderly COVID-19 patients with coinfection

No interventions assigned to this group

elderly COVID-19 without coinfection

No interventions assigned to this group

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Xiangya Hospital of Central South University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Xiangya Hospital of Central South University

Changsha, Hunan, China

Site Status

Countries

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China

Other Identifiers

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82070613

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

82370638

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

2022RC1212

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

2023JJ10095

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

202401002

Identifier Type: -

Identifier Source: org_study_id

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