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

Not yet recruiting

• Conditions: COVID-19 Pandemic
• Interventions: Other: Artificial intelligence for the prediction of clinical outcomes

• Registration Number: NCT06424925
• Lead Sponsor: Azienda Ospedaliera di Lecco

Brief 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

Detailed Description

Not available

Study Timeline

• Status Verified: 2024-05
• Study First Submitted: 2024-05-21
• Study First Submitted QC: 2024-05-21
• Study First Posted: 2024-05-22
• Last Update Submitted: 2024-05-22
• Last Update Posted: 2024-05-23
• Study Start: 2024-06-01
• Primary Completion: 2024-09-01
• Study Completion: 2024-12-31

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 5000

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 & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
COVID-19 2° wave	Artificial intelligence for the prediction of clinical outcomes	Hospitalized patients for COVID19 pneumonia during the second wave (OCT-DEC 2020)
COVID-19 4° wave	Artificial intelligence for the prediction of clinical outcomes	Hospitalized patients for COVID19 pneumonia during the fourth wave (NOV 2021-MAR 2022)
COVID-19 1° wave	Artificial intelligence for the prediction of clinical outcomes	Hospitalized patients for COVID19 pneumonia during first wave (FEB-MAY 2020)
COVID-19 3° wave	Artificial intelligence for the prediction of clinical outcomes	Hospitalized patients for COVID19 pneumonia during the third wave (GEN-MAY 2021)

Primary Outcome Measures

Name	Time	Method
Construction of predictive models	6 months	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.

Trial Locations

Locations (1)

Stefania Piconi; 🇮🇹 Lecco, Italy