Use of Artificial Intelligence (AI) to Predict Clinical Outcomes in Patients Hospitalized for COVID19 Pneumonia During the 4 Pandemic Waves

COVID-19 Pandemic Clinical Trial

— AI COVID-19  

Official title:

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.

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT06424925
• Other study ID #: AI COVID-19
• Status: Not yet recruiting
• Start date: June 1, 2024
• Est. completion date: December 31, 2024

Study information

• Verified date: May 2024
• Source: Azienda Ospedaliera di Lecco
• Contact: Stefania Piconi, MD
• Phone: +390341489890
• Email: s.piconi[@]asst-lecco.it
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 5000
• Est. completion date: December 31, 2024
• Est. primary completion date: September 1, 2024
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Age > 18 years;

• Hospitalization for COVID-19 pneumonia at ASST Lecco.

Exclusion Criteria:

• Hospitalization or finding of asymptomatic SARS CoV-2 infection.

Related Conditions & MeSH terms

• COVID-19
• COVID-19 Pandemic
• Pneumonia

Intervention

Other:
• Artificial intelligence for the prediction of clinical outcomes
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

Locations

Country	Name	City	State
Italy	Stefania Piconi	Lecco

Sponsors (1)

Lead Sponsor	Collaborator
Azienda Ospedaliera di Lecco

Country where clinical trial is conducted

Italy, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Construction of predictive models	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.	6 months