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Biomed Res Int. 2014;2014:906103. doi: 10.1155/2014/906103. Epub 2014 Feb 13.

Hypoglycemia is independently associated with multidimensional impairment in elderly diabetic patients.

Author information

1
Geriatrics Unit, Azienda ULSS 16, S. Antonio Hospital, 35127 Padua, Italy.
2
CNR-Institute of Neuroscience, Aging Branch, Via Giustiniani 2, 35128 Padua, Italy.
3
Geriatrics Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, 71013 Foggia, Italy.
4
Department of Medicine, University of Padua, 35128 Padua, Italy.
5
Diabetology Unit, University of Turin, 10124 Turin, Italy.
6
Salvatore Maugeri Foundation, IRCCS, Scientific Institute of Telese Terme, 82037 Benevento, Italy.

Abstract

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.

PMID:
24689062
PMCID:
PMC3943201
DOI:
10.1155/2014/906103
[Indexed for MEDLINE]
Free PMC Article
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