Use of Artificial Intelligence (AI) to Predict Clinical Outcomes in Patients Hospitalized for COVID19 Pneumonia During the 4 Pandemic Waves (AI COVID-19)
Use of Artificial Intelligence (AI) for the Prediction of Clinical Outcomes Such as Death and Complications in Patients Hospitalized for COVID Pneumonia During the 4 Pandemic Waves at the ASST of Lecco.
Predictive models can be applied in different areas, during the emergency of the COVID-19 pandemic, in fact, they have proven important in supporting health systems in planning strategic decisions and in formulating health policies for the containment of the disease.
The Covid-19 pandemic, in particular, has represented a real challenge for our healthcare system. In Italy, it was divided into four main waves, each characterized by different types of patients and different therapeutic approaches progressively improved based on new scientific evidence.
The objective is to carry out a study on the data of patients hospitalized for COVID-19 at the ASST of Lecco during all four pandemic waves, with different degrees of severity of illness, collecting the data of interest and applying it to they use artificial intelligence to identify recurring patterns of clinical outcome in terms of survival and secondary infectious complications, so as to build new reliable predictive statistical models that can be used to predict the outcome of the patients themselves.
The strong ambition of this project is that the application of artificial intelligence to data of such significant quantity can allow us to build valid statistical models which can then be hypothetically applied to any patient to predict, based on anamnestic characteristics, blood chemical parameters. at baseline and at the set treatment, the probability of survival and complications
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Stefania Piconi, MD
- Phone Number: +390341489890
- Email: s.piconi@asst-lecco.it
Study Contact Backup
- Name: Silvia Pontiggia, MS
- Phone Number: +390341253678
- Email: s.pontiggia@asst-lecco.it
Study Locations
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Lecco, Italy, 23900
- Stefania Piconi
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
For each patient, information will be collected regarding:
- Personal data (i.e. age, sex, nationality);
- Date of hospitalization and discharge (or death)
- Comorbidities;
- Treatments undertaken for Covid19;
- Possible vaccination for Covid19, date and number of doses;
- Possible onset of secondary infections and/or complications;
- Blood chemistry tests upon admission
Description
Inclusion Criteria:
- Age > 18 years;
- Hospitalization for COVID-19 pneumonia at ASST Lecco.
Exclusion Criteria:
- Hospitalization or finding of asymptomatic SARS CoV-2 infection.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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COVID-19 1° wave
Hospitalized patients for COVID19 pneumonia during first wave (FEB-MAY 2020)
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Use of artificial intelligence (AI) for the prediction of clinical outcomes such as death and complications in patients hospitalized for COVID pneumonia during the 4 pandemic waves
|
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COVID-19 2° wave
Hospitalized patients for COVID19 pneumonia during the second wave (OCT-DEC 2020)
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Use of artificial intelligence (AI) for the prediction of clinical outcomes such as death and complications in patients hospitalized for COVID pneumonia during the 4 pandemic waves
|
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COVID-19 3° wave
Hospitalized patients for COVID19 pneumonia during the third wave (GEN-MAY 2021)
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Use of artificial intelligence (AI) for the prediction of clinical outcomes such as death and complications in patients hospitalized for COVID pneumonia during the 4 pandemic waves
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COVID-19 4° wave
Hospitalized patients for COVID19 pneumonia during the fourth wave (NOV 2021-MAR 2022)
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Use of artificial intelligence (AI) for the prediction of clinical outcomes such as death and complications in patients hospitalized for COVID pneumonia during the 4 pandemic waves
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Construction of predictive models
Time Frame: 6 months
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Construction of predictive models to evaluate clinical outcomes such as death and/or onset of secondary infection based on the data collected relating to the 4 COVID-19 waves.
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6 months
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Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- AI COVID-19
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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