Muscle Mass and Strength as Predictors of Time to Discharge in Patients With COVID-19

May 26, 2020 updated by: Bruno Gualano, University of Sao Paulo

Muscle Mass and Strength as Predictors of Time to Medical Discharge and Mortality in Patients Hospitalized With COVID-19: A Prospective Observational Study

The severe acute respiratory syndrome induced by the new coronavirus (SARS-CoV-2) has been declared a worldwide pandemic. Identifying common characteristics of the disease is crucial to promote a better prognosis for patients and to reduce the occurrence of medical complications, the time to medical discharge and mortality rates. Muscle mass and strength are recognized predictive measures of medical complications and mortality in different populations, but it is still unclear whether these also applies to patients with SARS-CoV-2. Therefore, this study will investigate whether muscle mass and/or muscle strength are predictors of the time until medical discharge of patients hospitalized with SARS-CoV-2. Our working hypothesis is that muscle mass and/or muscle strength are predictive measurements of the time until medical discharge of patients hospitalized with SARS-CoV-2

Study Overview

Status

Unknown

Conditions

Detailed Description

Muscle mass (via ultrasound) and muscle strength (via handgrip) of patients with SARS-CoV-2 will be assessed upon admission, medical discharge and 180 days after medical discharge. The time until medical discharge and any medical complications will be recorded. Throughout the hospitalization period, the mortality rate will also be assessed. One hundred and eighty days after medical discharge, the number of hospital readmissions, mortality rate and the use of public health services will be evaluated, to estimate the cost of each patient to the health service. Patients will be stratified according to muscle mass and strength assessed at admission. Data will be analysed using a mixed model with repeated measures assuming group (percentiles) and time (admission, medical discharge, and 180 days after medical discharge) for each dependent variable. In the event of a significant F-value, Tukey-Kramer post hoc adjustments will be used for multiple purposes. Survival rate will be examined using the Kaplan-Meier curve and analyzed using the Log-rank test (Mantel-Cox). The level of significance will be set apriori at P≤0.05.

Study Type

Observational

Enrollment (Anticipated)

176

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Sao Paulo, Brazil, 05508-030
        • Recruiting
        • Univsersity of Sao Paulo

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with SARS-CoV-2

Description

Inclusion Criteria:

  • 18 Years and older ;
  • hospital stay less than 48 hours;
  • length of hospital stay to 48 hours no requiring invasive mechanical ventilation;

Exclusion Criteria:

  • cancer in the last 5 years;
  • delirium;
  • cognitive deficit that impossibility the patient to read and sign the informed consent form;
  • neurological disease;
  • degenerative muscular disease.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Time to medical discharge
Time Frame: through the hospitalization period, an average of 15 days
Length (in days) of the time hospitalization until medical discharge
through the hospitalization period, an average of 15 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
All-cause mortality
Time Frame: through the hospitalization period, an average of 15 days, 60, 180 and 360 days after medical discharge
All-cause mortality rate along the study
through the hospitalization period, an average of 15 days, 60, 180 and 360 days after medical discharge
Hospital readmission
Time Frame: 60, 180 and 360 days after medical discharge
Occurrence of medical complications that require hospitalization
60, 180 and 360 days after medical discharge

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

May 23, 2020

Primary Completion (ANTICIPATED)

May 23, 2022

Study Completion (ANTICIPATED)

May 23, 2022

Study Registration Dates

First Submitted

May 23, 2020

First Submitted That Met QC Criteria

May 26, 2020

First Posted (ACTUAL)

May 28, 2020

Study Record Updates

Last Update Posted (ACTUAL)

May 28, 2020

Last Update Submitted That Met QC Criteria

May 26, 2020

Last Verified

May 1, 2020

More Information

Terms related to this study

Other Study ID Numbers

  • 31303720.7.0000.0068

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on SARS-CoV 2

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