Objective: Long-term health and economic consequences of diabetes mellitus are of significant importance to health policy makers to identify the most efficient interventions for disease managements. However, existing data are mainly from simulation models instead of "real-world" data. The objective of this study was to longitudinally evaluate the changes of prevalence of diabetic complications and associated healthcare costs in a nationally-representative diabetic cohort.
Methods: We used the 2000-2011 Taiwan's Longitudinal Health Insurance Database (LHID) to conduct a population-based cohort study of 136,372 patients with type 2 diabetes. Diabetic complications of each patient were calculated annually after the cohort entry by the adapted Diabetes Complications Severity Index (aDCSI) score (sum of diabetic complication with severity levels, range 0-13) using diagnostic codes recorded in the LHID. Study subjects were further categorized into six subgroups according to their aDCSI score (0, 1, 2, 3, 4, 5+) at cohort entry. Healthcare utilizations (including outpatient and inpatient visits) as well as direct medical costs for the six subgroups were estimated annually using patient-level data from the LHID.
Results: We found the severity of diabetic complications increased over time, especially for patients with aDCSI score of 2 and above at cohort entry (at 10years of follow-up: aDCSI=0 (cohort entry), 2.37; aDCSI=1, 3.59; aDCSI=2, 4.60; aDCSI=3, 5.14; aDCSI=4, 5.96). There were significant differences in healthcare utilizations and associated medical costs among patients stratified by aDCSI score (e.g. at 1year after cohort entry, mean counts of inpatient visits: 0.14 vs. 1.81 for aDCSI=0 vs.5+). Relatively high healthcare utilizations and associated medical costs in the first year of cohort entry were observed for patients with aDCSI score of 4 and above at cohort entry.
Conclusions: We provided the important empirical data for patient-level longitudinal changes in diabetic complications and associated healthcare utilization and medical costs among patients with diabetes.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jdiacomp.2015.02.002 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Real-world treatment patterns and clinical characteristics in patients with moderate-to-severe systemic lupus erythematosus: an analysis of the SLE Prospective Observational Cohort Study (SPOCS).
Lupus Sci Med
January 2025
BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden
Objectives: Systemic lupus erythematosus (SLE) is a disease with heterogeneous treatment patterns largely based on organ involvement and disease severity. The SLE Prospective Observational Cohort Study (SPOCS) collected data worldwide over 3 years from patients with moderate-to-severe SLE. We report real-world patterns of medication use in patients enrolled in SPOCS.
View Article and Find Full Text PDFCity-Level Sugar-Sweetened Beverage Taxes and Changes in Adult Body Mass Index.
JAMA Netw Open
January 2025
Division of Research, Kaiser Permanente Northern California, Pleasanton.
Importance: Sugar-sweetened beverage (SSB) excise taxes are popular policy interventions aimed at decreasing SSB purchasing and consumption to improve cardiometabolic health and generate revenue for public health initiatives. There is limited evidence that these taxes in the US are associated with weight-related outcomes in adults, a primary contributor to cardiometabolic health.
Objective: To determine the association between SSB excise taxes and adult body mass index (BMI) and proportion of adults with overweight or obesity among California cities and assess whether associations vary by demographic characteristics.
Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models.
Metabolites
December 2024
Department of Data Science and Knowledge Discovery, Simula Metropolitan Center for Digital Engineering, 0130 Oslo, Norway.
: Metabolomics measurements are noisy, often characterized by a small sample size and missing entries. While data-driven methods have shown promise in terms of analyzing metabolomics data, e.g.
View Article and Find Full Text PDFEthnic and racial differences in children and young people with respiratory and neurological post-acute sequelae of SARS-CoV-2: an electronic health record-based cohort study from the RECOVER Initiative.
EClinicalMedicine
February 2025
Division of Respiratory Medicine, Department of Pediatrics, University of California San Diego, Rady Children's Hospital of San Diego, San Diego, CA, USA.
Background: Children from racial and ethnic minority groups are at greater risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, but it is unclear whether they have increased risk for post-acute sequelae of SARS-CoV-2 (PASC). Our objectives were to assess whether the risk of respiratory and neurologic PASC differs by race/ethnicity and social drivers of health.
Methods: We conducted a retrospective cohort study of individuals <21 years seeking care at 24 health systems across the U.
Outcomes in stage IIA versus stage IIB/III in the PALLAS trial [ABCSG-42/AFT-05/PrE0109/BIG-14-13]).
Breast Cancer Res
January 2025
Austrian Breast & Colorectal Cancer Study Group (ABCSG), Vienna, Austria.
Background: The PALLAS trial investigated the addition of palbociclib to standard adjuvant endocrine therapy to reduce breast cancer recurrence. This pre-specified analysis was conducted to determine whether adjuvant palbociclib benefited patients diagnosed with lower risk stage IIA disease compared to those with higher stage disease.
Methods: PALLAS was an international, multicenter, randomized, open-label, phase III trial, representing a public-private partnership between Pfizer, the Austrian Breast Cancer Study Group, and the U.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!