Antonella Valerio
Roma, Italy
NCT Number: NCT07660757
Improved medical care has led to an increase in both the age and clinical complexity of patients admitted to Internal Medicine wards, characterized by multiple chronic diseases. Multimorbidity is a common issue in the elderly, significantly associated with higher mortality, functional decline, and poorer quality of life. The concept of "disease clustering" goes beyond simple multimorbidity or comorbidity by grouping statistically associated morbid conditions to understand their interconnections, shared risk factors, and pathophysiological mechanisms. The goal is to identify these clusters in relation to the most common chronic conditions in Internal Medicine: heart failure, chronic obstructive pulmonary disease (COPD), and chronic kidney disease.This is an observational, multicenter, prospective, national study sponsored by the FADOI Foundation (Federation of Associations of Internal Medicine Hospital) and this is a non-profit research project. It aims to involve about 50 Internal Medicine Units, targeting the enrollment of approximately 100 consecutive adult patients per unit, for a total of at least 1500 subjects per pathology group.
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Notify Me18 year and older
All sexes
Observational
Roma, Italy
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 14 Months
IN-CluDiMI study primary objective was to map the structural patterns of disease clustering around HF, COPD, and CKD, and to evaluate their prevalence, functional impacts, and geographic distribution.We also investigated the prognostic role of these clusters on mortality (in-hospital and/or follow-up mortality).
The analysis included all available comorbidities, excluding highly prevalent risk factors such as hypertension, diabetes mellitus and dyslipidaemia, which were analysed separately.
The optimal number of clusters was determined using the silhouette index, selecting a solution that maximised cluster separation and internal cohesion.
3 complementary approaches were used to investigate co-occurrence patterns:
Fadoi Foundation, Italy
Other
Acronym: IN-CluDiMI
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