Literature DB >> 29802955

Trends in comorbidity burden and treatment patterns in type 2 diabetes: Longitudinal data from a US cohort from 2006 to 2014.

W Weng1, Y Liang2, E Kimball3, T Hobbs3, S Kong3.   

Abstract

AIMS: To gather real-world data on treatment characteristics and comorbidity progression in patients with newly-diagnosed type 2 diabetes (T2D) and evaluate differences by patient age.
METHODS: Retrospective analysis of a US administrative claims database including 16,950 subjects with newly-diagnosed T2D in 2006 and a baseline Diabetes Complications Severity Index (DCSI) score of 0. Patients were categorized by DCSI score at year 8 (0, 1-2, or ≥3) and comparatively analyzed based on demographic variables, drug usage, and diabetes-related comorbidities.
RESULTS: Year 8 DCSI score distribution was 0 (29.9%), 1-2 (36.2%), and ≥3 (33.9%). The highest DCSI score subgroup (≥3) was characterized by a significantly greater percentage of males, older age at T2D diagnosis, and higher Medicare enrollment. DCSI progressed most rapidly in the oldest age group (≥65). Among all subjects at year 8, insulin use was significantly highest among subjects with DCSI ≥3 compared with those having a lower DCSI. However, for subjects with DCSI ≥3, insulin use was lower among those in the oldest age group (≥65) relative to younger age groups.
CONCLUSIONS: These real-world data suggest a relationship between age at T2D diagnosis and disease progression based on comorbidity burden and lower usage of injectable therapies in older patients.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Claims; Comorbidities; Diabetes Complications Severity Index; Drug adherence; Progression; Real-world; Type 2 diabetes mellitus

Mesh:

Year:  2018        PMID: 29802955     DOI: 10.1016/j.diabres.2018.05.031

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  3 in total

1.  A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis.

Authors:  Yuan Wu; Yiling Zhou; Xuan Wang; Qi Zhang; Xun Yao; Xiaodan Li; Jianshu Li; Haoming Tian; Sheyu Li
Journal:  JMIR Mhealth Uhealth       Date:  2019-08-28       Impact factor: 4.773

2.  Association of treatments for acute myocardial infarction and survival for seven common comorbidity states: a nationwide cohort study.

Authors:  Mohammad E Yadegarfar; Chris P Gale; Tatendashe B Dondo; Chris G Wilkinson; Martin R Cowie; Marlous Hall
Journal:  BMC Med       Date:  2020-08-24       Impact factor: 8.775

3.  Effects of canagliflozin on initiation of insulin and other antihyperglycaemic agents in the CANVAS Program.

Authors:  David R Matthews; Carol Wysham; Melanie Davies; April Slee; Maria Alba; Mary Lee; Vlado Perkovic; Kenneth W Mahaffey; Bruce Neal
Journal:  Diabetes Obes Metab       Date:  2020-08-24       Impact factor: 6.577

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.