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Hypoglycemia Is Independently Associated with Multidimensional Impairment in Elderly Diabetic Patients
Author(s) -
Alberto Pilotto,
Marianoale,
Stefania Maggi,
Filomena Addante,
Antonio Tiengo,
Paolo Cavallo Perin,
Giuseppe Rengo,
Gaetano Crepaldi
Publication year - 2014
Publication title -
biomed research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 126
eISSN - 2314-6141
pISSN - 2314-6133
DOI - 10.1155/2014/906103
Subject(s) - medicine , diabetes mellitus , comorbidity , cohort , hypoglycemia , glycemic , population , multivariate analysis , polypharmacy , insulin , endocrinology , environmental health
Aim . To identify the characteristics associated with multidimensional impairment, evaluated through the Multidimensional Prognostic Index (MPI), a validated predictive tool for mortality derived from a standardized Comprehensive Geriatric Assessment (CGA), in a cohort of elderly diabetic patients treated with oral hypoglycemic drugs. Methods and Results . The study population consisted of 1342 diabetic patients consecutively enrolled in 57 diabetes centers distributed throughout Italy, within the Metabolic Study. Inclusion criteria were diagnosis of type 2 diabetes mellitus (DM), 65 years old or over, and treatment with oral antidiabetic medications. Data concerning DM duration, medications for DM taken during the 3-month period before inclusion in the study, number of hypoglycemic events, and complications of DM were collected. Multidimensional impairment was assessed using the MPI evaluating functional, cognitive, and nutritional status; risk of pressure sores; comorbidity; number of drugs taken; and cohabitation status. The mean age of participants was 73.3 ± 5.5 years, and the mean MPI score was 0.22 ± 0.13. Multivariate analysis showed that advanced age, female gender, hypoglycemic events, and hospitalization for glycemic decompensation were independently associated with a worse MPI score. Conclusion . Stratification of elderly diabetic patients using the MPI might help to identify those patients at highest risk who need better-tailored treatment.

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