Progression of Heart Failure in People with Type 2 Diabetes in Germany: An Analysis Using German Health Insurance Claims Data

被引:0
|
作者
Lee, Keni Cheng-Siang [1 ]
Wagner, Tobias [2 ]
Kennedy, Adee [3 ]
Wilke, Michael Holger [4 ]
机构
[1] Sanofi, Paris, France
[2] Inspiring Hlth GmbH, Munich, Germany
[3] Sanofi, Bridgewater, NJ USA
[4] Med Sch Hamburg, Hamburg, Germany
来源
关键词
disease progression; heart failure; outcome modeling; type; 2; diabetes; EPIDEMIOLOGY;
D O I
10.36469/jheor.2024.120747
中图分类号
F [经济];
学科分类号
02 ;
摘要
Background: : Individuals with type 2 diabetes (T2D) show high risk of heart failure (HF). Left ventricular ejection fraction is a major factor for disease progression. In Germany, no recent longitudinal data are available. Objectives: : To (1) measure the proportion of individuals with T2D who acquire HF over 2 years and (2) categorize ejection fraction using routine data and an algorithm, and (3) understand progression of HF in 5-year follow-up. Methods: : This descriptive, retrospective study used longitudinal data from German statutory health insurance claims. A model using coded data classified the patients with HF into ejection fraction (EF) categories. Individuals were selected during 2013, with an inclusion period from 2014 to 2015 and a follow-up from 2016 to 2020. Baseline characteristics included demographic data, disease stage, co- morbidities, and risk factors. Follow-up criteria included major adverse cardiac events (MACEs), EF category, and mortality. Disease progression was visualized by Sankey plots. Results: : Among the 173 195 individuals with T2D identified in 2013, 6725 (median age, 74 years) developed HF in 2014 or 2015. 34.4% of individuals had MACEs, and 42.9% died over 5 years. Myocardial infarction (42%) was the most common event, followed by stroke (32%) and hospitalization (28%). A total of 5282 (78.54%) patients were classified into preserved EF and 1443 (21.46%) into reduced EF. Survival after 5 years was 71% in HF for preserved EF patients, and 29% in the HF for those with reduced EF. Conclusion: : Heart failure is relevant in individuals with diabetes. A high number of patients may likely not survive a 5-year period. Validation of the model with German data is highly desirable. New ways of close monitoring could help improve outcomes.
引用
收藏
页码:58 / 65
页数:8
相关论文
共 50 条
  • [31] Socioeconomic inequalities in type 2 diabetes comorbidities in different population subgroups: trend analyses using German health insurance data
    Safieddine, Batoul
    Sperlich, Stefanie
    Beller, Johannes
    Lange, Karin
    Geyer, Siegfried
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [32] Utilization patterns of insulin for patients with type 2 diabetes from national health insurance claims data in South Korea
    Min, Kyoung Lok
    Koo, Heejo
    Choi, Jun Jeong
    Kim, Dae Jung
    Chang, Min Jung
    Han, Euna
    PLOS ONE, 2019, 14 (03):
  • [33] EPIDEMIOLOGICAL DISEASE BURDEN OF HYPERTENSIVE HEART DISEASE WITH HEART FAILURE BASED ON ROUTINELY COLLECTED HEALTH INSURANCE CLAIMS DATA
    Nemeth, N.
    Boncz, I
    Elmer, D.
    Danku, N.
    Horvath, L.
    Csakvari, T.
    Ponusz, R.
    Kajos, L.
    Endrei, D.
    VALUE IN HEALTH, 2022, 25 (01) : S123 - S123
  • [34] Changes in incidence of severe hypoglycaemia in people with type 2 diabetes from 2006 to 2016: analysis based on health insurance data in Germany considering the anti-hyperglycaemic medication
    Mueller, N.
    Lehmann, T.
    Kloess, A.
    Guenster, C.
    Kloos, C.
    Mueller, U. A.
    DIABETIC MEDICINE, 2020, 37 (08) : 1326 - 1332
  • [35] Excess mortality in adults with documented diabetes in Germany: routine data analysis of all insurance claims in Germany 2013-2014
    Schmidt, Christian
    Reitzle, Lukas
    Heidemann, Christin
    Paprott, Rebecca
    Ziese, Thomas
    Scheidt-Nave, Christa
    Baumert, Jens
    BMJ OPEN, 2021, 11 (01):
  • [36] Change in life expectancy with type 2 diabetes: a study using claims data from lower Saxony, Germany
    Denise Muschik
    Juliane Tetzlaff
    Karin Lange
    Jelena Epping
    Sveja Eberhard
    Siegfried Geyer
    Population Health Metrics, 15
  • [37] Change in life expectancy with type 2 diabetes: a study using claims data from lower Saxony, Germany
    Muschik, Denise
    Tetzlaff, Juliane
    Lange, Karin
    Epping, Jelena
    Eberhard, Sveja
    Geyer, Siegfried
    POPULATION HEALTH METRICS, 2017, 15
  • [38] Do the risk factors for type 2 diabetes mellitus vary by location? A spatial analysis of health insurance claims in Northeastern Germany using kernel density estimation and geographically weighted regression
    Boris Kauhl
    Jürgen Schweikart
    Thomas Krafft
    Andrea Keste
    Marita Moskwyn
    International Journal of Health Geographics, 15
  • [39] Do the risk factors for type 2 diabetes mellitus vary by location? A spatial analysis of health insurance claims in Northeastern Germany using kernel density estimation and geographically weighted regression
    Kauhl, Boris
    Schweikart, Juergen
    Krafft, Thomas
    Keste, Andrea
    Moskwyn, Marita
    INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, 2016, 15
  • [40] Comparability in Cross-National Health Research Using Insurance Claims Data: The Cases of Germany and The Netherlands
    Hrzic, Rok
    Clemens, Timo
    Westra, Daan
    Brand, Helmut
    GESUNDHEITSWESEN, 2020, 82 : S83 - S90