7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Direct Diabetes-Related Costs in Young Patients with Early-Onset, Long-Lasting Type 1 Diabetes

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objective

          To estimate diabetes-related direct health care costs in pediatric patients with early-onset type 1 diabetes of long duration in Germany.

          Research Design and Methods

          Data of a population-based cohort of 1,473 subjects with type 1 diabetes onset at 0–4 years of age within the years 1993–1999 were included (mean age 13.9 (SD 2.2) years, mean diabetes duration 10.9 (SD 1.9) years, as of 31.12.2007). Diabetes-related health care services utilized in 2007 were derived from a nationwide prospective documentation system (DPV). Health care utilization was valued in monetary terms based on inpatient and outpatient medical fees and retail prices (perspective of statutory health insurance). Multiple regression models were applied to assess associations between direct diabetes-related health care costs per patient-year and demographic and clinical predictors.

          Results

          Mean direct diabetes-related health care costs per patient-year were €3,745 (inter-quartile range: 1,943–4,881). Costs for glucose self-monitoring were the main cost category (28.5%), followed by costs for continuous subcutaneous insulin infusion (25.0%), diabetes-related hospitalizations (22.1%) and insulin (18.4%). Female gender, pubertal age and poor glycemic control were associated with higher and migration background with lower total costs.

          Conclusions

          Main cost categories in patients with on average 11 years of diabetes duration were costs for glucose self-monitoring, insulin pump therapy, hospitalization and insulin. Optimization of glycemic control in particular in pubertal age through intensified care with improved diabetes education and tailored insulin regimen, can contribute to the reduction of direct diabetes-related costs in this patient group.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: not found
          • Article: not found

          How should cost data in pragmatic randomised trials be analysed?

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Long-term renal outcomes of patients with type 1 diabetes mellitus and microalbuminuria: an analysis of the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications cohort.

            Microalbuminuria is a common diagnosis in the clinical care of patients with type 1 diabetes mellitus. Long-term outcomes after the development of microalbuminuria are variable. We quantified the incidence of and risk factors for long-term renal outcomes after the development of microalbuminuria in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study. The DCCT randomly assigned 1441 persons with type 1 diabetes to intensive or conventional diabetes therapy, and participants were subsequently followed up during the observational EDIC study. During the DCCT/EDIC study, 325 participants developed incident persistent microalbuminuria (albumin excretion rate, ≥30 mg/24 h at 2 consecutive study visits). We assessed their subsequent renal outcomes, including progression to macroalbuminuria (albumin excretion rate, ≥300 mg/24 h at 2 consecutive visits), impaired glomerular filtration rate (estimated glomerular filtration rate, <60 mL/min/1.73 m(2) at 2 consecutive study visits), end-stage renal disease, and regression to normoalbuminuria (albumin excretion rate, <30 mg/24 h at 2 consecutive visits). The median follow-up period after persistent microalbuminuria diagnosis was 13 years (maximum, 23 years). Ten-year cumulative incidences of progression to macroalbuminuria, impaired glomerular filtration rate, end-stage renal disease, and regression to normoalbuminuria were 28%, 15%, 4%, and 40%, respectively. Albuminuria outcomes were more favorable with intensive diabetes therapy, lower glycated hemoglobin level, absence of retinopathy, female sex, lower blood pressure, and lower concentrations of low-density lipoprotein cholesterol and triglycerides. Lower glycated hemoglobin level, absence of retinopathy, and lower blood pressure were also associated with decreased risk of impaired glomerular filtration rate. After the development of persistent microalbuminuria, progression and regression of kidney disease each commonly occur. Intensive glycemic control, lower blood pressure, and a more favorable lipid profile are associated with improved outcomes. ©2011 American Medical Association. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Development and Progression of Renal Insufficiency With and Without Albuminuria in Adults With Type 1 Diabetes in the Diabetes Control and Complications Trial and the Epidemiology of Diabetes Interventions and Complications Study

              OBJECTIVE This multicenter study examined the impact of albumin excretion rate (AER) on the course of estimated glomerular filtration rate (eGFR) and the incidence of sustained eGFR 300 mg/24 h) before they reached stage 3 chronic kidney disease. Macroalbuminuria is associated with a markedly increased rate of fall in eGFR (5.7%/year vs. 1.2%/year with AER <30 mg/24 h, P < 0.0001) and risk of eGFR <60 ml/min/1.73 m2 (adjusted hazard ratio 15.3, P < 0.0001), whereas microalbuminuria had weaker and less consistent effects on eGFR. CONCLUSIONS Macroalbuminuria was a strong predictor of eGFR loss and risk of developing sustained eGFR <60 ml/min/1.73 m2. However, screening with AER alone would have missed 24% of cases of sustained impaired eGFR.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                13 August 2013
                : 8
                : 8
                : e70567
                Affiliations
                [1 ]Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
                [2 ]Department of Public Health, Faculty of Medicine, Heinrich-Heine-University, Düsseldorf, Germany
                [3 ]Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
                [4 ]Clinic for Children and Adolescents, Evangelisches Krankenhaus, Oberhausen, Germany
                [5 ]Pediatric and Adolescent Medicine, University Hospital, Martin-Luther University, Halle, Germany
                [6 ]Pediatric Diabetes Practice, Reutlingen, Germany
                [7 ]Clinic for Child and Adolescent Medicine, Klinik am Eichert, Göppingen, Germany
                [8 ]Princess Margaret Children's Clinic, Darmstadt, Germany
                Groningen Research Institute of Pharmacy, United States of America
                Author notes

                Competing Interests: The DPV initiative is supported by a research grant from Novo Nordisk Germany. The grant supports the establishment and the further development of the DPV database. The authors' analysis was not financially supported by Novo Nordisk and is independent of any commercial funders. This fact does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: CB AI JR. Analyzed the data: KS RWH JR. Contributed reagents/materials/analysis tools: MFM AH RWH. Wrote the paper: CB. Assisted in the analyses: CB. Contributed to the discussion: AI PB JR. Reviewed the manuscript: AI KS MFM PB MF UH KP AS ASP RWH JR.

                Article
                PONE-D-13-01853
                10.1371/journal.pone.0070567
                3742743
                23967077
                35552370-68ee-4dfb-9776-14257f623e0e
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 January 2013
                : 26 June 2013
                Page count
                Pages: 10
                Funding
                This study was supported by the Competence Network Diabetes Mellitus by the German Federal Ministry of Education and Research ( www.kompetenznetz-diabetes-mellitus.net/index.php/en; FKZ 01GI0802, 01GI1109A, 01GI0859, 01GI1106). The German Diabetes Center is institutionally funded by the German Ministry of Health and the Ministry of Innovation, Sciences and Research of the Federal State of North Rhine-Westphalia. The DPV initiative is supported by the European Foundation for the Study of Diabetes (EFSD), the Dr. Bürger-Büsing Foundation, and by a research grant of Novo Nordisk Germany. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine
                Clinical Immunology
                Autoimmune Diseases
                Diabetes Mellitus Type 1
                Endocrinology
                Diabetic Endocrinology
                Diabetes Mellitus Type 1
                Epidemiology
                Economic Epidemiology
                Pediatric Epidemiology
                Non-Clinical Medicine
                Health Care Policy
                Child and Adolescent Health Policy
                Health Economics
                Health Services Research

                Uncategorized
                Uncategorized

                Comments

                Comment on this article