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Risk Factors Worsening COVID19 for Out-patient With Home Monitoring

RRisk Factors Worsening COVID19 (Coronavirus Infectious Disease 2019) for Outpatient With Home Monitoring (COVID-A-DOMEVA Study)

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04380662
Acronym
COVIDADOMEVA
Enrollment
800
Registered
2020-05-08
Start date
2020-06-30
Completion date
2020-12-30
Last updated
2020-06-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Covid19

Keywords

RISK FACTOR, HEALTH STATUS, CLINICAL CARE PATHWAY, COVID19, COHORT, OUT PATIENT

Brief summary

The main objective of the COVIDADOMEVA study is to identify the risk factors aggravating the COVID-19 (risk or protective factors), in out-patients suspected of being infected with precocious home monitoring. The primary event defining the aggravation will be then: hospitalization (medicine, resuscitation) or death. The studied potential risk factors will be mainly: * Socio-demographic: age, sex, place of residence or income * Comorbidities * Clinical signs: asthenia, dyspnea (kinetics)… * Drugs other than those related to the infection For this research project, this study needs to use the patient's data of the COVIDADOM cohort (patients suspected of being infected with SARS-CoV-2 with home monitoring) and will collect some supplementary data (clinical and biological). All these data will be integrated and analyzed in the PREDIMED clinical data lake platform (The implementation of PREDIMED has been approved by the French authority in terms of GDPR, CNIL, on October 10, 2019).

Detailed description

In front of the recent emergence of the SARS-CoV-2 coronavirus (COVID) in December 2019 in the Wuhan region of China, knowledge of the clinical course and of the aggravating risk factors linked to this virus is still incomplete. COVID is associated with severe morbidity and an estimated mortality of 2-4% in patients without comorbidity. According to a WHO report published on the situation in China, patients with serious chronic pathologies, such as diabetes or severe obesity, are particularly vulnerable and mortality rates were higher: from 7 to 13%. Monitoring and describing the clinical pathway of out-patients suspected of being infected according to their medical history should improve knowledge of COVID, and then adapt patient care management and control the COVID pandemic. Currently, few European studies have described the potential risk factors that could lead to the worsening of the disease. Since the March 16th, the university hospital of Grenoble (France) has developed an information technology system to monitor out-patients suspected of being infected with SARS-CoV-2 coronavirus and with early home monitoring: the COVIDADOM cohort That's why the COVIDADOMEVA study is then to identify the risk factors aggravating the COVID, in out-patients with precocious home monitoring. The primary event defining the aggravation will be then: hospitalization (medicine, resuscitation) or death The studied potential risk factors will be the following: * Socio-demographic: age, sex, place of residence, CSP, and income. * Comorbidities or aggravation: COPD, asthma, immunosuppression, or heart failure, diabetes imbalance, etc. * Clinical signs: asthenia, dyspnea (kinetics), blood sugar, nutritional status, weight gain… * Drugs other than those related to the infection and potential self-medication (anti-inflammatory, CEI, ARA…)

Interventions

OTHERRisk factors

The studied potential risk factors will be the following: * Socio-demographic: age, sex, place of residence, CSP and income. * Comorbidities or aggravation: COPD, asthma, immunosuppression, or heart failure, diabetes imbalance, etc. * Clinical signs: asthenia, dyspnea (kinetics), blood sugar, nutritional status, weight gain… * Drugs other than those related to the infection and potential self-medication (anti-inflammatory, CEI, ARA…)

Sponsors

University Hospital, Grenoble
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Patient with clinical symptomatology suspecting COVID-19, that is to say: severe dyspnea, and/or serious extra pulmonary signs (myalgia, diarrhea, etc.) OR * Patient with clinical symptomatology (cough or dyspnea or fever with ENT signs) AND at least one of the following comorbidities: COPD stage 1 or 2 (dyspnea usually absent or for marked efforts), Asthma with daily inhaled corticosteroid therapy, Immunosuppression or cancer during chemotherapy, Coronary history, Heart failure (Stages 2 and 3, dyspnea with moderate or low effort), Obesity (BMI\> 30), Type 1 or 2 diabetes, cirrhosis from Child B, pregnant woman in the 3rd trimester. * Patient with a phone monitoring of at least more than 2 calls, if no aggravation of disease.

Exclusion criteria

* Person deprived of liberty by judicial or administrative decision * Person being subject to a legal protection measure * Person who expressed opposition to participating in the COVIDADOMEVA study

Design outcomes

Primary

MeasureTime frameDescription
Identify the factors associated with the worsening of the COVID1930 daysThe event defining the aggravation will be: hospitalization (medicine, resuscitation) or death The main potential risk factors will be the following: * Socio-demographic: age, sex, place of residence, CSP and income. * Comorbidities or aggravation: COPD, asthma, immunosuppression, or heart failure, diabetes imbalance, etc. * Clinical signs: asthenia, dyspnea (kinetics), blood sugar, nutritional status, weight gain… * Drugs other than those related to the infection and potential self-medication (anti-inflammatory, CEI, ARA…)

Secondary

MeasureTime frameDescription
Describe the clinical care pathway of patients from Day 0 to Day 1430 daysClinical and monitoring data of the the COVIDADOM cohort and of the COVIDADOMEVA case report form (CRF)
Describe the health status at Day 3030 daysHealth status patient (stay at home, hospitalization or death)
Describe the quality of life during the disease30 daysEQ5D-5L score

Countries

France

Contacts

Primary ContactSandra DAVID-TCHOUDA, MD
sdavidtchouda@chu-grenoble.fr+33(0)476767186
Backup ContactSandrine MASSICOT, Master
smassicot@chu-grenoble.fr+33(0)476768860

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026