Multimorbidity Among Adult Outpatients With Type 1 Diabetes in Germany

Author:

van den Boom Louisa1,Buchal Gebhard1,Kaiser Marcel2,Kostev Karel3ORCID

Affiliation:

1. DRK Children’s Hospital Siegen, Siegen

2. Diabetologische Schwerpunktpraxis, Frankfurt, German

3. Epidemiology, IQVIA, Frankfurt, Germany

Abstract

Aim: The aim of this cross-sectional retrospective study was to estimate the prevalence of different physical and psychiatric disorders as well as multimorbidity in outpatients with type 1 diabetes (T1D) in Germany. Methods: A total of 6967 adult patients with T1D from 958 general or diabetologist practices in Germany between January 2015 and December 2019 from the Disease Analyzer database (IQVIA) were included. The main outcome of the study was the prevalence of different diabetes-related and nondiabetes-related disorders within 12 months prior to the last outpatient visit. Multivariate logistic regression models were fitted with multimorbidity differently defined as >2, >3, >4, and >5 different disorders as a dependent variable and age, sex, glycated hemoglobin (HbA1c) values, and insulin pump therapy as impact variables. Results: Mean age (standard deviation [SD]) was 45.3 (16.7) years; 42.9% were women, the mean HbA1c was 7.9% (SD: 1.4%). The most frequent disorder was arterial hypertension (31.2%), followed by dyslipidemia (26.4%), dorsalgia (20.4%), diabetic neuropathy (17.3%), and depression (14.6%). The proportion of thyroid gland disorders, retinopathy, urethritis, iron deficiency anemia, and psychiatric disorders was higher in women than in men. Hypertension and mental and behavioral disorders due to the use of tobacco were higher in men. On average, each patient was diagnosed with 3.1 different disorders. Age had the strongest association with multimorbidity, followed by HbA1c value and female sex. Conclusion: In summary, patients with T1D are often multimorbid, and the multimorbidity is associated with higher gender, female sex, and high HbA1c values. Understanding all of these factors can help practitioners create a risk profile for every patient.

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

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