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

• Conditions: SARS-CoV 2

• Registration Number: NCT04406233
• Lead Sponsor: University of Sao Paulo

Brief Summary

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

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 Timeline

• Status Verified: 2020-05
• Study Start: 2020-05-23
• Study First Submitted: 2020-05-23
• Study First Submitted QC: 2020-05-26
• Last Update Submitted: 2020-05-26
• Study First Posted: 2020-05-28
• Last Update Posted: 2020-05-28
• Primary Completion: 2022-05-23
• Study Completion: 2022-05-23

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 176

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 & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Time to medical discharge	through the hospitalization period, an average of 15 days	Length (in days) of the time hospitalization until medical discharge

Secondary Outcome Measures

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

Trial Locations

Locations (1)

Univsersity of Sao Paulo; 🇧🇷 Sao Paulo, Brazil