Low bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysis

Cristina Eller-Vainicher; Volha V. Zhukouskaya; Yury V. Tolkachev; Sergei S. Koritko; Elisa Cairoli; Enzo Grossi; Paolo Beck-Peccoz; Iacopo Chiodini; Alla P. Shepelkevich

doi:10.2337/dc11-0764

Low bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysis

Cristina Eller-Vainicher, Volha V. Zhukouskaya, Yury V. Tolkachev, Sergei S. Koritko, Elisa Cairoli, Enzo Grossi, Paolo Beck-Peccoz, Iacopo Chiodini, Alla P. Shepelkevich

Fondazione IRCCS Ca' Granda- Ospedale Maggiore Policlinico

Research output: Contribution to journal › Article › peer-review

Abstract

OBJECTIVE - To investigate factors associated with bone mineral density (BMD) in type 1 diabetes by classic statistic and artificial neural networks. RESEARCH DESIGN AND METHODS - A total of 175 eugonadal type 1 diabetic patients (age 32.8 ± 8.4 years) and 151 age- and BMI-matched control subjects (age 32.6 ± 4.5 years) were studied. In all subjects, BMI and BMD (as Z score) at the lumbar spine (LS-BMD) and femur (F-BMD) were measured. Daily insulin dose (DID), age at diagnosis, presence of complications, creatinine clearance (ClCr), and HbA _1c were determined. RESULTS - LS- and F-BMD levels were lower in patients (20.11 ± 1.2 and 20.32 ± 1.4, respectively) than in control subjects (0.59 ± 1, P <0.0001, and 0.63 ± 1, P <0.0001, respectively). LS-BMD was independently associated with BMI and DID, whereas F-BMD was associated with BMI and ClCr. The cutoffs for predicting low BMD were as follows: BMI 2, DID >0.67 units/kg, and ClCr

Original language	English
Pages (from-to)	2186-2191
Number of pages	6
Journal	Diabetes Care
Volume	34
Issue number	10
DOIs	https://doi.org/10.2337/dc11-0764
Publication status	Published - Oct 2011

ASJC Scopus subject areas

Internal Medicine
Endocrinology, Diabetes and Metabolism
Advanced and Specialised Nursing

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Eller-Vainicher, C., Zhukouskaya, V. V., Tolkachev, Y. V., Koritko, S. S., Cairoli, E., Grossi, E., Beck-Peccoz, P., Chiodini, I., & Shepelkevich, A. P. (2011). Low bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysis. Diabetes Care, 34(10), 2186-2191. https://doi.org/10.2337/dc11-0764

Low bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysis. / Eller-Vainicher, Cristina; Zhukouskaya, Volha V.; Tolkachev, Yury V.; Koritko, Sergei S.; Cairoli, Elisa; Grossi, Enzo; Beck-Peccoz, Paolo; Chiodini, Iacopo; Shepelkevich, Alla P.

In: Diabetes Care, Vol. 34, No. 10, 10.2011, p. 2186-2191.

Research output: Contribution to journal › Article › peer-review

Eller-Vainicher, C, Zhukouskaya, VV, Tolkachev, YV, Koritko, SS, Cairoli, E, Grossi, E, Beck-Peccoz, P, Chiodini, I & Shepelkevich, AP 2011, 'Low bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysis', Diabetes Care, vol. 34, no. 10, pp. 2186-2191. https://doi.org/10.2337/dc11-0764

Eller-Vainicher, Cristina ; Zhukouskaya, Volha V. ; Tolkachev, Yury V. ; Koritko, Sergei S. ; Cairoli, Elisa ; Grossi, Enzo ; Beck-Peccoz, Paolo ; Chiodini, Iacopo ; Shepelkevich, Alla P. / Low bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysis. In: Diabetes Care. 2011 ; Vol. 34, No. 10. pp. 2186-2191.

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abstract = "OBJECTIVE - To investigate factors associated with bone mineral density (BMD) in type 1 diabetes by classic statistic and artificial neural networks. RESEARCH DESIGN AND METHODS - A total of 175 eugonadal type 1 diabetic patients (age 32.8 ± 8.4 years) and 151 age- and BMI-matched control subjects (age 32.6 ± 4.5 years) were studied. In all subjects, BMI and BMD (as Z score) at the lumbar spine (LS-BMD) and femur (F-BMD) were measured. Daily insulin dose (DID), age at diagnosis, presence of complications, creatinine clearance (ClCr), and HbA 1c were determined. RESULTS - LS- and F-BMD levels were lower in patients (20.11 ± 1.2 and 20.32 ± 1.4, respectively) than in control subjects (0.59 ± 1, P <0.0001, and 0.63 ± 1, P <0.0001, respectively). LS-BMD was independently associated with BMI and DID, whereas F-BMD was associated with BMI and ClCr. The cutoffs for predicting low BMD were as follows: BMI 2, DID >0.67 units/kg, and ClCr ",

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AU - Cairoli, Elisa

AU - Grossi, Enzo

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