Pei-Jung Lin1, David M Kent, Aaron Winn, Joshua T Cohen, Peter J Neumann. 1. Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St, Box 63, Boston, MA 02111. E-mail: plin@tuftsmedicalcenter.org.
Abstract
OBJECTIVES: Multiple chronic comorbidities (MCCs) are an issue of growing significance in diabetes because they are highly prevalent and can increase disease burden and costs. We examined MCC patterns among patients with type 2 diabetes mellitus and identified specific comorbidity clusters associated with poor patient outcomes. STUDY DESIGN AND METHODS: We conducted a cross-sectional analysis of 161,174 patients with diabetes using electronic health record data supplied by US providers in the 2008 to 2012 Humedica data sets. We examined prevalence of MCC clusters in younger and older patients. For each of the 15 most common MCC clusters, we reported predicted probabilities for diabetes face-to-face visits, reaching glycated hemoglobin < 8%; emergency department (ED) visits; and 30-day hospital readmissions, based on logistic regression results. RESULTS: The leading MCC combination was the presence of hypertension-hyperlipidemia-obesity and no other diagnosed comorbidities (19% of the sample). The most notable difference, by age, was a higher prevalence of obesity in the younger cohort. MCC clusters were more diverse among the older population: the top 10 MCC clusters accounted for 66% of older patients, compared with 78% of younger patients. Patients with certain comorbidity profiles, such as those with obesity only, were less likely to have diabetes-related face-to-face visits and to meet A1C treatment goals, and more likely to have ED visits and 30-day readmissions. CONCLUSIONS: Patients with diabetes have substantial comorbidities, but the patterns vary considerably across patients and by age. Diabetes care remained suboptimal among many types of MCC patients, and patient outcomes varied by MCC profile. Specific management strategies should be developed for common MCC clusters, such as hypertension-hyperlipidemia-obesity.
OBJECTIVES: Multiple chronic comorbidities (MCCs) are an issue of growing significance in diabetes because they are highly prevalent and can increase disease burden and costs. We examined MCC patterns among patients with type 2 diabetes mellitus and identified specific comorbidity clusters associated with poor patient outcomes. STUDY DESIGN AND METHODS: We conducted a cross-sectional analysis of 161,174 patients with diabetes using electronic health record data supplied by US providers in the 2008 to 2012 Humedica data sets. We examined prevalence of MCC clusters in younger and older patients. For each of the 15 most common MCC clusters, we reported predicted probabilities for diabetes face-to-face visits, reaching glycated hemoglobin < 8%; emergency department (ED) visits; and 30-day hospital readmissions, based on logistic regression results. RESULTS: The leading MCC combination was the presence of hypertension-hyperlipidemia-obesity and no other diagnosed comorbidities (19% of the sample). The most notable difference, by age, was a higher prevalence of obesity in the younger cohort. MCC clusters were more diverse among the older population: the top 10 MCC clusters accounted for 66% of older patients, compared with 78% of younger patients. Patients with certain comorbidity profiles, such as those with obesity only, were less likely to have diabetes-related face-to-face visits and to meet A1C treatment goals, and more likely to have ED visits and 30-day readmissions. CONCLUSIONS:Patients with diabetes have substantial comorbidities, but the patterns vary considerably across patients and by age. Diabetes care remained suboptimal among many types of MCCpatients, and patient outcomes varied by MCC profile. Specific management strategies should be developed for common MCC clusters, such as hypertension-hyperlipidemia-obesity.
Authors: John M Clements; Mariana Rosca; Carla Cavallin; Shelby Falkenhagen; Thomas Ittoop; Christina K Jung; Megan Mazzella; Joseph A Reed; Megan Schluentz; Caleb VanDyke Journal: Am J Med Sci Date: 2020-01-23 Impact factor: 2.378
Authors: Anna Ostropolets; Pierre A Elias; Michael V Reyes; Elain Y Wan; Utpal B Pajvani; George Hripcsak; John P Morrow Journal: Circ Arrhythm Electrophysiol Date: 2021-02-07
Authors: Jiandong Zhou; Guoming Zhang; Carlin Chang; Oscar Hou In Chou; Sharen Lee; Keith Sai Kit Leung; Wing Tak Wong; Tong Liu; Abraham Ka Chung Wai; Shuk Han Cheng; Qingpeng Zhang; Gary Tse Journal: Acta Diabetol Date: 2022-02-03 Impact factor: 4.280