ASST Monza-Ospedale San Gerardo
Monza, Italy
Location status: Recruiting
Location contact
Paolo Bonfanti
CONTACT
NCT Number: NCT04424992
This is an observational study. The aim is to describe the natural history and clinical evolution over time of hospitalized patients affected by Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-COV-2) infection, including the genetic pathology of the disease and improve therapeutic procedures.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Monza, Italy
Location status: Recruiting
Paolo Bonfanti
CONTACT
BACKGROUND:
As of the end of February 2020, the ASST of Monza, with its two hospital wards of Monza and Desio, has treated 1433 COVID+ patients, of which 507 have currently been discharged (35.4%) and 206 (14%) transferred to other Low-intensity care facilities.
The importance of observational studies is now known in many fields of medicine and the "real life" data produced have become an integral part of the authorization dossiers by the competent authorities to govern the introduction of new drugs: in particular, in a disease such as that from COVID-19 in which the absence of specific anti-viral therapies prevents an "ad hoc" cure, it becomes fundamental to identify and validate systems of stratification of the risk of fatal events, in order to optimize health intervention measures.
METHODS AND STUDY DESIGN:
The study protocol provides the collection of clinical, diagnostic and therapeutic and laboratory data consistent with the objectives of the study (CORE DATA SET) to which other specific protocols and relative data will connect (DATABASE "leaf"). The data collection will be performed on eCRF (RedCap platform) and the database will have the "stem and leaf" structure, compatible with WHO indications regarding pandemic data collection.
CORE DATA SET:
The protocol presents two important aspects of innovation in its formulation and design:
BIOLOGICAL SAMPLE COLLECTION:
The biological research areas that the protocol proposes to pursue are listed below:
STATISTICAL ANALYSIS:
For each specific protocol, the study design and statistical data analysis plan will be formulated according to the specific objectives. In general, in addition to the descriptive methods, statistical regression models and methods for the definition of prognostic scores will be used, with relative cross-validation, which will allow to evaluate both binary and survival outcomes (in a broad sense, of events considered in time).
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Describe the natural history and clinical evolution of hospitalized patients over time affected by SARS-COV-2 infection, understand the pathogenesis of the disease and improve the aids and therapeutic procedures.
Time frame: Until patient discharge from the hospital (approximately 1 year)
Description over time of hospitalized patients suffering from SARS-COV-2 infection to better understand the pathogenesis of the disease and improve the controls and therapeutic procedures.
Time frame: Until patient discharge from the hospital (approximately 1 year)
Identify risk factors for intra-hospital mortality in hospital wards COVID + patients.
Time frame: Until patient discharge from the hospital (approximately 1 year)
Assess the impact of a fragility index (IF) on the clinical course of COVID + patients.
Time frame: Until patient discharge from the hospital (approximately 1 year).
Build a prognostic score through which it is possible define a stratification that orients, according to the state of hospitalization, the therapeutic choices.
Time frame: Until patient discharge from the hospital (approximately 1 year)
Differentiate the lung sequelae related to the evolution of viral damage from those of cheater / volutrauma connected to non-invasive (NIV-CPAP) or invasive (MV) ventilation methods.
Time frame: Until patient discharge from the hospital (approximately 1 year)
Assess the accuracy of IF in elderly patients in terms of clinical outcomes compared to one clinical evaluation based on age and co-morbidity.
Time frame: Until patient discharge from the hospital (approximately 1 year)
Describe the anomalies of the coagulation system, which appear on patients affected by SARS-COV-2 pneumonia.
Time frame: Until patient discharge from the hospital (approximately 1 year)
Description of the impact of the prone position in terms of increased oxygenation of the patient suffering from SARS-COV-2 pneumonia as an index lung recruitment.
Contact information is provided by the study sponsor or research team.
University of Milano Bicocca
Other
Observational Cohort Study on the Natural History of Hospitalized SARS-COV-2 Patients: the STORM Trial
Acronym: STORM
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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