Prediction, Prevention, Predisposition: Applications in Neurology and Endocrinology

Dementia Clinical Trial

— PRECUBE2022  

Official title:

PRE3 PRE-CUBE. PREdiction, PREvention, PREdisposition: Applications in Neurology and Endocrinology

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT06227364
• Other study ID #: PRECUBE2022
• Status: Recruiting
• Start date: March 8, 2023
• Est. completion date: January 21, 2025

Study information

• Verified date: July 2023
• Source: IRCCS Centro Neurolesi "Bonino-Pulejo"
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This project aims to introduce solutions for strengthening the management capabilities of two types of patients, in terms of care and prevention. Specifically, it is aimed at neurological patients with mild or minor neurocognitive decline (Mild Cognitive Impairment, MCI) and endocrinological patients diagnosed with obesity. The study want to enhance the predictive capacity of the care process management system through an Artificial Intelligence (AI) system. All patients diagnosed with MCI and obesity who, within 30 months, will be referred to the Neurology and Endocrinology clinics of the IRCCS Centro Neurolesi Bonino-Pulejo in Messina will be evaluated. Study design Patients will not be subjected to any procedure that goes beyond normal clinical practice; the clinical and neuropsychological variables that will be collected for the study are those that are commonly collected in normal clinical practice. All patients diagnosed with MCI and obesity who, within 30 months, will be referred to the Neurology and Endocrinology clinics of the IRCCS Centro Neurolesi Bonino-Pulejo in Messina will be evaluated. All patients will undergo clinical, neuropsychological and psychological evaluation at the beginning (baseline T0), at the end (T1) and after ... months from the end of treatment (follow up T2).

Description:

This project aims to introduce solutions for strengthening the management capabilities of two types of patients, in terms of care and prevention. Specifically, it is aimed at neurological patients with mild or minor neurocognitive decline (Mild Cognitive Impairment, MCI) and endocrinological patients diagnosed with obesity. The study want to enhance the predictive capacity of the care process management system through an Artificial Intelligence (AI) system. All patients diagnosed with MCI and obesity who, within 30 months, will be referred to the Neurology and Endocrinology clinics of the IRCCS Centro Neurolesi Bonino-Pulejo in Messina will be evaluated. Study design Patients will not be subjected to any procedure that goes beyond normal clinical practice; the clinical and neuropsychological variables that will be collected for the study are those that are commonly collected in normal clinical practice. All patients diagnosed with MCI and obesity who, within 30 months, will be referred to the Neurology and Endocrinology clinics of the IRCCS Centro Neurolesi Bonino-Pulejo in Messina will be evaluated. All patients will undergo clinical, neuropsychological and psychological evaluation at the beginning (baseline T0), at the end (T1) and after ... months from the end of treatment (follow up T2).

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 200
• Est. completion date: January 21, 2025
• Est. primary completion date: June 30, 2023
• Gender: All
• Age group: 18 Years to 80 Years

Eligibility

Inclusion Criteria:

For MCI patients:

Patients aged between 18 and 80 years; Clinical and instrumental diagnosis of MCI, according to the normal clinical practice adopted; Written informed consent obtained from the patient; For Metabolic patients: Age: >18 years BMI > 30 kg/m² Willingness to follow requests as per protocol, including: Signing an informed consent. Participation in scheduled follow-up visits. Carrying out instrumental and laboratory tests Exclusion Criteria: For MCI patients: age under 40 other concomitant neurological and/or psychiatric condition drug abuse unstable clinical conditions requiring acute hospitalization. For Metabolic patients: unstable clinical conditions requiring acute hospitalization. associated serious pathologies and/or with reduced life expectancy, including renal failure under dialysis treatment, liver cirrhosis, malignant neoplasms, NYHA class III-IV heart failure, chronic respiratory failure under oxygen therapy. psychological or psychiatric conditions that may reduce study cooperation.

Related Conditions & MeSH terms

• Cognitive Dysfunction
• Dementia
• Disease Susceptibility
• Mild Cognitive Impairment

Intervention

Diagnostic Test:
• MCI patients
patients with mild cognitive impairment submitted to Magnetic Resonance, neuropsychological evaluation, neurological assessment
• metabolic patients
patients with obesity and metabolic dysfunction submitted to haematological tests, psychological and neuropsychological evaluation and endocrinologu assessment

Locations

Country	Name	City	State
Italy	Irccs Centro Neurolesi Bonino Pulejo	Messina

Sponsors (1)

Lead Sponsor	Collaborator
IRCCS Centro Neurolesi "Bonino-Pulejo"

Country where clinical trial is conducted

Italy, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	the creation of predictive algorithms capable of calculating the risk of onset and/or staging of neurodegenerative and metabolic pathologies	The project has as its primary objective the creation of predictive algorithms capable of calculating the risk of onset and/or staging of neurodegenerative and metabolic pathologies, with the aim of identifying potential targets of subjects at risk of developing such diseases, in the context of patient enrollment, as per normal clinical practice, on an outpatient basis, at our IRCCS.	1 hour
Secondary	Evaluate the effectiveness of the therapeutic path and define the outcomes of the treatment plan for these types of patients	Consider the macro-tasks relating to Taking Charge, Activation of the therapeutic, care and rehabilitation plan as well as the activation of care and follow-up services. With these macro-tasks, through an analysis of the data, it will be possible to carry out an evaluation of the effectiveness of the treatment path envisaged for the patient, identify the treatment process that follows the adopted PDTA (taking charge, evaluation, monitoring and follow-up up) and define the outcomes of the treatment plan for these types of patients, promoting a correct diagnostic classification and an effective therapeutic intervention aimed at managing comorbidities and improving the patients' quality of life.	1 hour