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Association of Comorbid and Metabolic Factors with Optimal Control of Type 2 Diabetes Mellitus

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a poorly controlled epidemic worldwide that demands active research into mitigation of the factors that are associated with poor control. AIMS: The study was to determine the factors associated with suboptimal glycemic control. MATERIALS AND METHODS: El...

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Autores principales: Roy, Satyajeet, Sherman, Anthony, Monari-Sparks, Mary Joan, Schweiker, Olga, Jain, Navjot, Sims, Etty, Breda, Michelle, Byraiah, Gita P, Belecanech, Ryan George, Coletta, Michael Domenic, Barrios, Cristian Javier, Hunter, Krystal, Gaughan, John P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784181/
https://www.ncbi.nlm.nih.gov/pubmed/27011945
http://dx.doi.org/10.4103/1947-2714.175197
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author Roy, Satyajeet
Sherman, Anthony
Monari-Sparks, Mary Joan
Schweiker, Olga
Jain, Navjot
Sims, Etty
Breda, Michelle
Byraiah, Gita P
Belecanech, Ryan George
Coletta, Michael Domenic
Barrios, Cristian Javier
Hunter, Krystal
Gaughan, John P
author_facet Roy, Satyajeet
Sherman, Anthony
Monari-Sparks, Mary Joan
Schweiker, Olga
Jain, Navjot
Sims, Etty
Breda, Michelle
Byraiah, Gita P
Belecanech, Ryan George
Coletta, Michael Domenic
Barrios, Cristian Javier
Hunter, Krystal
Gaughan, John P
author_sort Roy, Satyajeet
collection PubMed
description BACKGROUND: Type 2 diabetes mellitus (T2DM) is a poorly controlled epidemic worldwide that demands active research into mitigation of the factors that are associated with poor control. AIMS: The study was to determine the factors associated with suboptimal glycemic control. MATERIALS AND METHODS: Electronic medical records of 263 adult patients with T2DM in our suburban internal medicine office were reviewed. Patients were divided into two groups: Group 1 [optimal diabetes control with glycosylated hemoglobin (HbA1c) of 7% or less] and Group 2 (suboptimal diabetes control with HbA1c greater than 7%). The influence of factors such as age, gender, race, social history, comorbid conditions, gestational diabetes, family history of diabetes, diabetes management, statin use, aspirin use, angiotensin convertase enzyme inhibitor (ACE-I) or angiotensin receptor blocker (ARB) use, body mass index (BMI), blood pressures, lipid profile, and urine microalbumin level were analyzed in the two groups. RESULTS: In the suboptimal diabetes control group (N = 119), the majority (86.6%) of the patients were 41-80 years old. Factors associated with the suboptimal control were male gender [odds ratio (OR) 2.6, 95% confidence interval (CI), 1.579-4.321], Asian ethnicity (OR 1.4, 95% CI, 0.683-3.008), history of peripheral arterial disease (PAD; OR 3.9, 95% CI, 1.017-14.543), history of congestive heart failure (CHF; OR 3.9, 95% CI, 1.017-14.543), elevated triglycerides (OR 1.004, 95% CI, 1.000-1.007), and elevated urine microalbumin level of 30 mg/24 h or above (OR 4.5, 95% CI, 2.446-8.380). Patients with suboptimal diabetes control had a 3.8 times greater odds (95% CI, 1.493-6.885) of receiving the insulin and oral hypoglycemic agent together. CONCLUSIONS: In adult patients with T2DM, male gender, Asian ethnicity, CHF, PAD, management with insulin along with oral hypoglycemic agents, hypertriglyceridemia, and microalbuminuria were associated with suboptimal control.
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spelling pubmed-47841812016-03-23 Association of Comorbid and Metabolic Factors with Optimal Control of Type 2 Diabetes Mellitus Roy, Satyajeet Sherman, Anthony Monari-Sparks, Mary Joan Schweiker, Olga Jain, Navjot Sims, Etty Breda, Michelle Byraiah, Gita P Belecanech, Ryan George Coletta, Michael Domenic Barrios, Cristian Javier Hunter, Krystal Gaughan, John P N Am J Med Sci Original Article BACKGROUND: Type 2 diabetes mellitus (T2DM) is a poorly controlled epidemic worldwide that demands active research into mitigation of the factors that are associated with poor control. AIMS: The study was to determine the factors associated with suboptimal glycemic control. MATERIALS AND METHODS: Electronic medical records of 263 adult patients with T2DM in our suburban internal medicine office were reviewed. Patients were divided into two groups: Group 1 [optimal diabetes control with glycosylated hemoglobin (HbA1c) of 7% or less] and Group 2 (suboptimal diabetes control with HbA1c greater than 7%). The influence of factors such as age, gender, race, social history, comorbid conditions, gestational diabetes, family history of diabetes, diabetes management, statin use, aspirin use, angiotensin convertase enzyme inhibitor (ACE-I) or angiotensin receptor blocker (ARB) use, body mass index (BMI), blood pressures, lipid profile, and urine microalbumin level were analyzed in the two groups. RESULTS: In the suboptimal diabetes control group (N = 119), the majority (86.6%) of the patients were 41-80 years old. Factors associated with the suboptimal control were male gender [odds ratio (OR) 2.6, 95% confidence interval (CI), 1.579-4.321], Asian ethnicity (OR 1.4, 95% CI, 0.683-3.008), history of peripheral arterial disease (PAD; OR 3.9, 95% CI, 1.017-14.543), history of congestive heart failure (CHF; OR 3.9, 95% CI, 1.017-14.543), elevated triglycerides (OR 1.004, 95% CI, 1.000-1.007), and elevated urine microalbumin level of 30 mg/24 h or above (OR 4.5, 95% CI, 2.446-8.380). Patients with suboptimal diabetes control had a 3.8 times greater odds (95% CI, 1.493-6.885) of receiving the insulin and oral hypoglycemic agent together. CONCLUSIONS: In adult patients with T2DM, male gender, Asian ethnicity, CHF, PAD, management with insulin along with oral hypoglycemic agents, hypertriglyceridemia, and microalbuminuria were associated with suboptimal control. Medknow Publications & Media Pvt Ltd 2016-01 /pmc/articles/PMC4784181/ /pubmed/27011945 http://dx.doi.org/10.4103/1947-2714.175197 Text en Copyright: © North American Journal of Medical Sciences http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution NonCommercial ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Roy, Satyajeet
Sherman, Anthony
Monari-Sparks, Mary Joan
Schweiker, Olga
Jain, Navjot
Sims, Etty
Breda, Michelle
Byraiah, Gita P
Belecanech, Ryan George
Coletta, Michael Domenic
Barrios, Cristian Javier
Hunter, Krystal
Gaughan, John P
Association of Comorbid and Metabolic Factors with Optimal Control of Type 2 Diabetes Mellitus
title Association of Comorbid and Metabolic Factors with Optimal Control of Type 2 Diabetes Mellitus
title_full Association of Comorbid and Metabolic Factors with Optimal Control of Type 2 Diabetes Mellitus
title_fullStr Association of Comorbid and Metabolic Factors with Optimal Control of Type 2 Diabetes Mellitus
title_full_unstemmed Association of Comorbid and Metabolic Factors with Optimal Control of Type 2 Diabetes Mellitus
title_short Association of Comorbid and Metabolic Factors with Optimal Control of Type 2 Diabetes Mellitus
title_sort association of comorbid and metabolic factors with optimal control of type 2 diabetes mellitus
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784181/
https://www.ncbi.nlm.nih.gov/pubmed/27011945
http://dx.doi.org/10.4103/1947-2714.175197
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