A mathematical model for stratification of LADA risk groups

Aim. To stratify risk groups via discriminant analysis based on the most clinically relevant indications of LADA onset derived from medical history.Materials and Methods. Present study included 141 patients with diabetes mellitus (DM) of whom 65 had preliminary diagnosis of LADA, 40 patients were di...

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Autor principal: Tatiana M. Tikhonova
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RU
Publicado: Endocrinology Research Centre 2014
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Acceso en línea:https://doaj.org/article/5b0ae06bde40443a8dbf8b11917a7f67
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spelling oai:doaj.org-article:5b0ae06bde40443a8dbf8b11917a7f672021-11-14T09:00:18ZA mathematical model for stratification of LADA risk groups2072-03512072-037810.14341/DM2014115-20https://doaj.org/article/5b0ae06bde40443a8dbf8b11917a7f672014-03-01T00:00:00Zhttps://www.dia-endojournals.ru/jour/article/view/6314https://doaj.org/toc/2072-0351https://doaj.org/toc/2072-0378Aim. To stratify risk groups via discriminant analysis based on the most clinically relevant indications of LADA onset derived from medical history.Materials and Methods. Present study included 141 patients with diabetes mellitus (DM) of whom 65 had preliminary diagnosis of LADA, 40 patients were diagnosed with type 1 diabetes mellitus (T1DM) and 36 ? with type 2 diabetes mellitus (T2DM). Discriminant analysis was performed to evaluate the differences between the clinical onsets in study groups.Results. Aside from torpid onset with early evidence for insulin resistance, clinical characteristics of LADA included diagnosis during random examination, progressive loss of body mass, hyperglycemia greater than 14 mmol/L at the diagnosis and, possibly, ketonuria without history of acute ketoacidosis.Conclusion. Discriminant analysis is beneficial in stratifying risk groups for the development of LADA.Tatiana M. TikhonovaEndocrinology Research Centrearticleladadiscriminant analysisdiagnosticsNutritional diseases. Deficiency diseasesRC620-627ENRUСахарный диабет, Vol 17, Iss 1, Pp 15-20 (2014)
institution DOAJ
collection DOAJ
language EN
RU
topic lada
discriminant analysis
diagnostics
Nutritional diseases. Deficiency diseases
RC620-627
spellingShingle lada
discriminant analysis
diagnostics
Nutritional diseases. Deficiency diseases
RC620-627
Tatiana M. Tikhonova
A mathematical model for stratification of LADA risk groups
description Aim. To stratify risk groups via discriminant analysis based on the most clinically relevant indications of LADA onset derived from medical history.Materials and Methods. Present study included 141 patients with diabetes mellitus (DM) of whom 65 had preliminary diagnosis of LADA, 40 patients were diagnosed with type 1 diabetes mellitus (T1DM) and 36 ? with type 2 diabetes mellitus (T2DM). Discriminant analysis was performed to evaluate the differences between the clinical onsets in study groups.Results. Aside from torpid onset with early evidence for insulin resistance, clinical characteristics of LADA included diagnosis during random examination, progressive loss of body mass, hyperglycemia greater than 14 mmol/L at the diagnosis and, possibly, ketonuria without history of acute ketoacidosis.Conclusion. Discriminant analysis is beneficial in stratifying risk groups for the development of LADA.
format article
author Tatiana M. Tikhonova
author_facet Tatiana M. Tikhonova
author_sort Tatiana M. Tikhonova
title A mathematical model for stratification of LADA risk groups
title_short A mathematical model for stratification of LADA risk groups
title_full A mathematical model for stratification of LADA risk groups
title_fullStr A mathematical model for stratification of LADA risk groups
title_full_unstemmed A mathematical model for stratification of LADA risk groups
title_sort mathematical model for stratification of lada risk groups
publisher Endocrinology Research Centre
publishDate 2014
url https://doaj.org/article/5b0ae06bde40443a8dbf8b11917a7f67
work_keys_str_mv AT tatianamtikhonova amathematicalmodelforstratificationofladariskgroups
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