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Updated: Dec 5, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Development MPI_AGE and SOSIA classification to evaluate geriatric patients'care needs.]
1PhD Candidate, Dipartimento di Biomedicina e Prevenzione, Università di Roma Tor Vergata.
Introduction:
Today's healthcare system requires more care for older patients. Aim of this study is to determine the relationships between the SOSIA classification system and the MPI_AGE index (Multidimensional Prognostic Index) based on a Comprehensive Geriatric Assessment (CGA).
Method:
The comparison was made by the retrieval of information from the CBA social-health folder, User Management (SOSIA Area) and MPI Computer Archive. The cross-mapping has been developed by a dedicate working group using Delphi process.
Results:
From January 2018 to April 2018, 100 geriatric patients were assessed by cross-mapping the two classification systems applied to an Italian Nursing Home. Among these patients, 100% were women (mean age 82 years). SOSIA form 1 was the most frequent classification system with 45% of patients followed by SOSIA form 3 (31%), form 7 (16%), form 8 (5%), form 5 (3%) and (MPI_AGE= 3 with 79% of patients). Using the MPI_AGE system, the patients analyzed in class 1 has MPI= 0.81, with Activities of Daily Living (ADL= 0), Instrumental Activities of Daily Living (IADL= 0), Short Portable Mental Status Questionnaire (SPMSQ= 10), Mini Nutritional Assessement (MNAShort= 12), Exton-Smith= 11, Cumulative Index Rating Scale - Comorbidity Index (CIRS= 8), drugs assumed= 5.
Discussion:
The benif of a comparison between different classification systems may be found in a more accurately treatment of older patient with an "individual personalized care plan".
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