Covid19 Prognostic Parameters
Conditions
Brief summary
The aim of the study is to define the clinical and biochemical parameters that characterize COVID-19 patients with a negative prognostic evolution. Our clinical score will be capable to recognize patient with favorable prognosis or patient with poor prognosis by statistical data analysis.
Interventions
OTHERdata collection
clinical data collection
Sponsors
University of L'Aquila
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* patients over 18 and symptomatic and positive for COVID-19 by polymerase chain reaction assay for rhino-pharingeal swab
Exclusion criteria
* Under 18
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Data collection of clinical and demographical parameters of patients affected by COVID-19 | 8 months | Data about sex, age, symptom start date, vital parameters, comorbidity, symptoms, hematochemicals blood tests, therapy, oxygen support, radiology, condition evaluation will be manual collected. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Application of statistical analysis on data of patients affected by COVID-19 | 2 months | The collected data will be analyzed through descriptive statistics analysis, ROC curves, regression analysis, and Machine Learning techniques to predict the prognosis of patients affected by COVID-19. |
Countries
Italy
Outcome results
None listed