Influence of Nutritional Indices on the Prognosis of Patients With SARS-CoV-2 Infection

NCT ID: NCT05835102

Last Updated: 2025-06-25

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

RECRUITING

Total Enrollment

800 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-05-01

Study Completion Date

2025-12-09

Brief Summary

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With the decline of virulence after the mutation of the SARS-CoV-2 , based on the national life and health and national development needs, the domestic SARS-CoV-2 infection epidemic prevention policy has changed, and the number of people infected by the SARS-CoV-2 has increased. Nutritional status is an indicator of human health and plays an important role in fighting disease. Malnutrition has been found to correlate with prognosis in patients infected with the SARS-CoV-2 infection . Timely identification and assessment of the patient's nutritional status and early implementation of relevant nutritional intervention are conducive to the recovery of the patient's condition.

In clinical practice, it is necessary to improve nutrition as an aspect of the comprehensive diagnosis and treatment of patients with SARS-CoV-2 infection, but there is still a lack of relevant nutritional indicators or models to simply and accurately assess the nutritional status of patients.The purpose of this study was to evaluate the effects of PNI, NRI, GNRI, albumin level, vitamin D, chest muscle area and density on the clinical characteristics and prognosis of patients with SARS-CoV-2 infection, to find the nutritional predictors of severe disease in patients with SARS-CoV-2 infection, and to establish a simpler and more accurate nutritional evaluation model. To provide evidence for targeted nutritional interventions in patients with SARS-CoV-2 infection.

Detailed Description

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Patients with SARS-CoV-2 infection attending the Second Affiliated Hospital of Chongqing Medical University were included in the retrospective study. Participants met the inclusion and exclusion criteria. Data to be collected include age, sex, height, and weight at initial treatment; Blood routine, liver function, kidney function, coagulation function, electrolytes, vitamin D, C-reactive protein, ferritin; CT and MRI information; Underlying diseases, complications, treatment options, etc. Follow up patients until discharge or death. After the data collection, statistical methods such as chi-square test and logistic regression analysis were used to evaluate the impact of nutritional factors on the prognosis of patients infected with SARS-CoV-2 infection.

Conditions

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COVID-19

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Patients With SARS-CoV-2 Infection

Patients who test positive for SARS-CoV-2 nucleic acid or SARS-CoV-2 antigen

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

Patients with a positive SARS-CoV-2 nucleic acid test or a positive SARS-CoV-2 antigen test.

Exclusion Criteria

1. People with end-stage malignant tumors;
2. Nutritional intake disorders, mainly dependent on enteral and parenteral nutrition supporters;
3. paralyzed;
4. Intravenous drug addicts.
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Juan Kang

OTHER

Sponsor Role lead

Responsible Party

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Juan Kang

associate professor

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

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Juan Kang, M.D.

Role: STUDY_CHAIR

The Second Affiliated Hospital of Chongqing Medical University

Locations

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The Second Affiliated Hospital of Chongqing Medical University

Chongqing, Chongqing Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Juan Kang, M.D.

Role: CONTACT

8613996112052

Facility Contacts

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Juan Kang, M.D.

Role: primary

+8613996112052

Other Identifiers

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2023-19

Identifier Type: -

Identifier Source: org_study_id

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