Official Title
Predictive Clinical Response Factors in COVID-19 Patients
Brief Summary

This is a monocentric retro-prospective observational study that will be conducted on all COVID19 positive patients hospitalized at the S. Gerardo Hospital in Monza.

Detailed Description

BACKGROUND:

The Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2) pandemic is severely testing
the health systems of the most advanced countries. Clinicians are faced with a new pathology
of an emerging virus. There is therefore an urgent need to collect real-time clinical data
that informs about outcome predictive variables. Furthermore, there are currently no
antiviral drugs approved for the treatment of SARS-CoV-2 infection, off-label therapies are
being used with drugs already in use for other pathologies that have shown some efficacy in
vitro, and some treatments obtained for compassionate use with other drugs that are being
tested.

It is more than ever necessary to collect clinical practice data both retrospectively on the
work done so far, and in a longitudinal perspective, and analyze them quickly to optimize
current treatments and define protocols for the future. Having a good clinical data base also
offers the possibility of collaborating with numerous international networks on translational
research, which aims to correlate clinical data with virological and immunological data,
aimed at the rapid identification of possible specific viral virulence factors, or particular
immune structures of the guests who once again define the final clinical outcome.

STUDY DESIGN:

All COVID19 positive patients admitted to San Gerardo Hospital will be enrolled in the study.

After patient signs the informed consent, the following data will be collected:

- birth data

- sex

- demographic data

- comorbidity

- blood chemistry data at the entrance

A series of variables will then be collected relating to the treatment procedure, the
therapies, the team's choice to maximize the care ceiling in the individual patient and the
entire clinical study of the patient.

STATISTICAL ANALISYS:

Central tendency and dispersion measurements will be used for descriptive analysis of
continuous variables while absolute and relative frequencies will be used to describe
categorical variables.

Withdrawn
COVID19

Other: Predictive factors for clinical response in patients with COVID-19.

Identify the risk factors for intra-hospital mortality in patients hospitalized in the COVID + hospital wards of the San Gerardo hospital and build a prognostic score through which it is possible to define a stratification that immediately guides the therapeutic choices and the intensity of care .

Eligibility Criteria

Inclusion Criteria:

- Patients 18 years old or above

- Diagnosis of SARS-CoV-2 pneumonia

Exclusion Criteria:

- Explicit refusal to participate in the study

Eligibility Gender
All
Eligibility Age
Minimum: 18 Years ~ Maximum: N/A
Countries
Italy
Locations

ASST Monza-Ospedale San Gerardo
Monza, Italy

University of Milano Bicocca
NCT Number
Keywords
Coronavirus
sars-covid-2
Coronavirus infection
MeSH Terms
COVID-19