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1.
Horm Res Paediatr ; : 1-19, 2024 Oct 03.
Article in English | MEDLINE | ID: mdl-39362209

ABSTRACT

INTRODUCTION: The COVID-19 pandemic necessitated worldwide lockdowns in 2020 and 2021, with restrictions on physical activity and changes in eating habits. AIMS: To investigate temporal trends in Body Mass Index (BMI) and BMI Standard Deviation Score (SDS) inSDS) in three international T1D registries between 2018-2021. METHODS: Data were extracted from DPV (Germany/Austria/Luxembourg/Switzerland), T1D Exchange Quality Improvement Collaborative (T1DX-QI, US), and Australasian Diabetes Data Network (ADDN, Australia/New Zealand). The period affected by the COVID-19 pandemic was defined as March to December 2020 and March to December 2021 and compared with the respective 9-month periods in 2018 and 2019. Estimated mean BMI (adults ≥ 19 years) and WHO BMI SDS (children and adolescents 54 to < 19 years) were calculated, adjusted for sex, age, HbA1c and diabetes duration. Adjusted mean proportions overweight /obese (BMI ≥ 25 in adults or BMI SDS > 1.282 in children and adolescents 54 to < 19 years) and obese (BMI ≥30kg/m2 or BMI SDS > 2 in children and adolescents 5 to <19 years) were also calculated, adjusted for sex, age, HbA1ce group and diabetes duration. RESULTS: Study population: ADDN (n=14,624, medianan age 15.720.4 years, 510.6% male); DPV (n=62,732, 16.123.1 years, 53.3% male); T1DX-QI (n=229428,970, 17.121.3 years, 52.1% male). In the DPV registry, BMI SDS in children and adolescents and BMI in adults, as well as the mean proportions overweight/obese in children and adolescents increased consistently between 2018 to 2021 (p<0.001). In ADDN and T1DX-QI, variable changes in BMI and BMI-SDS were seen in adults and young people, as well as in mean proportion overweight. Close to 50% of people in all registries were either overweight or obese. Proportions overweight remained relatively stable across the 4 years. The proportion obese increased in children 5-<10 years. CONCLUSIONS: A slight increase in BMI and BMI SDS, in DPV observed before the pandemic continued during the pandemic years. Results were more variable in the other registries without a clear pattern although Tthe proportion of overweight and obesity was overall high. Healthy weight remains a priority for people with type 1 diabetes.

2.
Cardiovasc Diabetol ; 23(1): 342, 2024 Sep 16.
Article in English | MEDLINE | ID: mdl-39285445

ABSTRACT

INTRODUCTION & OBJECTIVES: To evaluate whether cardiovascular risk factors and their management differ in primary prevention between adult males and females with type 1 diabetes (T1D) in two European countries in 2020-2022 and sex inequalities in achievement of standards of care in diabetes. METHODS: We used 2020-2022 data of patients without a cardiovascular history in the Prospective Diabetes Follow-up registry (DPV) centres, in Germany, and the Société Francophone du Diabète- Cohorte Diabète de Type 1 cohort (SFDT1), in France. RESULTS: We included 2,657 participants from the DPV registry and 1,172 from the SFDT1 study. Body mass indexes were similar in females and males with similar proportions of HbA1c < 7% (DPV: 36.6 vs 33.0%, p = 0.06, respectively; SFDT1: 23.4 vs 25.7%, p = 0.41). Females were less overweight compared to men in DPV (55.4 vs 61.0%, p < 0.01) but not in SFDT1 (48.0 vs 44.9%, p = 0.33) and were less prone to smoke (DPV: 19.7 vs 25.8%, p < 0.01; SFDT1: 21.0 vs 26.0%, p = 0.07). Systolic blood pressure was lower in females than males with a higher rate of antihypertensive therapy in case of hypertension in females in DPV (70.5 vs 63.7%, p = 0.02) but not in SFDT1 (73.3 vs 68.6%, p = 0.64). In the case of microalbuminuria, ACEi-ARB were less often prescribed in women than men in DPV (21.4 vs 37.6%, p < 0.01) but not SFDT1 (73.3 vs 67.5.0%, p = 0.43). In females compared to males, HDL-cholesterol levels were higher; triglycerides were lower in both countries. In those with LDL-cholesterol > 3.4 mmol/L (DPV: 19.9 (females) vs 23.9% (males), p = 0.01; SFDT1 17.0 vs 19.2%, p = 0.43), statin therapy was less often prescribed in females than males in DPV (7.9 vs 17.0%, p < 0.01), SFDT1 (18.2 vs 21.0%, p = 0.42). CONCLUSION: In both studies, females in primary prevention have a better cardiovascular risk profile than males. We observed a high rate of therapeutic inertia, which might be higher in females for statin treatment and nephroprotection with ACEi-ARB, especially in Germany. Diabetologists should be aware of sex-specific differences in the management of cardiorenal risk factors to develop more personalized prevention strategies.


Subject(s)
Cardiovascular Diseases , Diabetes Mellitus, Type 1 , Health Status Disparities , Healthcare Disparities , Heart Disease Risk Factors , Primary Prevention , Registries , Humans , Male , Female , Diabetes Mellitus, Type 1/diagnosis , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/drug therapy , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 1/therapy , France/epidemiology , Adult , Cardiovascular Diseases/prevention & control , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/diagnosis , Germany/epidemiology , Sex Factors , Middle Aged , Risk Assessment , Treatment Outcome , Time Factors , Biomarkers/blood , Hypoglycemic Agents/therapeutic use , Prospective Studies
4.
J Diabetes Metab Disord ; 23(1): 573-583, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38932874

ABSTRACT

Purpose: To compare the changes in body weight and glycemic control before and during the COVID-19 pandemic in people with type 1 diabetes (T1D). Methods: In 47,065 individuals with T1D from the German Diabetes Prospective Follow-up Registry (DPV), we compared the adjusted mean changes in BMI-Z-scores and HbA1c as well as the distribution of individual changes between four periods from March 2018 to February 2022, by sex and age group (4- < 11, 11- < 16, 16-50 years). Results: At population level, the only significant pandemic effects were a slight increase in BMI Z-score in prepubertal children (girls: + 0.03 in the first COVID year vs. before, P < 0.01; boys: + 0.04, P < 0.01) as well as a stabilization of HbA1c in all subgroups or even improvement in women (- 0.08%, P < 0.01). At individual level, however, heterogeneity increased significantly (p < 0.01), especially in children. More prepubertal children gained weight (girls: 45% vs. 35% before COVID; boys: 39% vs. 33%). More pubertal girls lost weight (30% vs. 21%) and fewer gained weight (43% vs. 54%). More children had a decreasing HbA1c (prepubertal group: 29% vs. 22%; pubertal girls: 33% vs. 28%; pubertal boys: 32% vs. 25%) and fewer had increasing values. More women had stable HbA1c and fewer had increasing values (30% vs. 37%). In men, no significant changes were observed. Conclusion: This real-world analysis shows no detrimental consequences of the two first COVID years on weight and HbA1c in T1D on average, but reveals, beyond the mean trends, a greater variability at the individual level.

5.
Front Endocrinol (Lausanne) ; 15: 1403684, 2024.
Article in English | MEDLINE | ID: mdl-38919493

ABSTRACT

Introduction: Currently, over two million war refugees live in Germany. Exposure to war and flight is associated with a high burden of diseases, not limited to mental disorders and infections. We aimed to analyze diabetes treatment and outcomes of pediatric refugees and migrants from Ukraine and Syria/Afghanistan with type 1 diabetes (T1D) in German-speaking countries. Materials and methods: We included patients with T1D documented between January 2013 and June 2023 in the German/Austrian/Luxembourgian/Swiss DPV registry, aged < 20 years, born in Ukraine [U], in Syria or Afghanistan [S/A], or without migration background [C]. Using logistic, linear, and negative binomial regression models, we compared diabetes technology use, BMI-SDS, HbA1c values, as well as severe hypoglycemia and DKA rates between groups in the first year of treatment in the host country. Results were adjusted for sex, age, diabetes duration, and time spent in the host country. Results: Among all patients with T1D aged < 20 years, 615 were born in Ukraine [U], 624 in Syria or Afghanistan [S/A], and 28,106 had no migration background [C]. Compared to the two other groups, patients from Syria or Afghanistan had a higher adjusted BMI-SDS (0.34 [95%-CI: 0.21-0.48] [S/A] vs. 0.13 [- 0.02-0.27] [U] and 0.20 [0.19-0.21] [C]; all p<0.001), a lower use of CGM or AID system (57.6% and 4.6%, respectively [S/A] vs. 83.7% and 7.8% [U], and 87.7% and 21.8% [C], all p<0.05) and a higher rate of severe hypoglycemia (15.3/100 PY [S/A] vs. 7.6/100 PY [C], and vs. 4.8/100 PY [U], all p<0.05). Compared to the two other groups, patients from Ukraine had a lower adjusted HbA1c (6.96% [95%-CI: 6.77-7.14] [U] vs. 7.49% [7.32-7.66] [S/A] and 7.37% [7.36-7.39] [C], all p<0.001). Discussion: In their first treatment year in the host country, young Syrian or Afghan refugees had higher BMI-SDS, lower use of diabetes technology, higher HbA1c, and a higher rate of severe hypoglycemia compared to young Ukrainian refugees. Diabetologists should be aware of the different cultural and socioeconomic backgrounds of refugees to adapt diabetes treatment and education to specific needs.


Subject(s)
Diabetes Mellitus, Type 1 , Refugees , Transients and Migrants , Humans , Syria/ethnology , Syria/epidemiology , Refugees/statistics & numerical data , Ukraine/epidemiology , Female , Male , Diabetes Mellitus, Type 1/therapy , Diabetes Mellitus, Type 1/epidemiology , Afghanistan/epidemiology , Child , Adolescent , Transients and Migrants/statistics & numerical data , Germany/epidemiology , Child, Preschool , Young Adult , Glycated Hemoglobin/analysis , Registries , Infant , Hypoglycemic Agents/therapeutic use
6.
Diabetes Care ; 47(4): 649-652, 2024 Apr 01.
Article in English | MEDLINE | ID: mdl-38128074

ABSTRACT

OBJECTIVE: Whether the day of the week on which the child presents affects timely diagnosis and risk of diabetic ketoacidosis (DKA) in children with new-onset type 1 diabetes (T1D) is not known. RESEARCH DESIGN AND METHODS: We used data of 30,717 children with new-onset T1D during the last 10 years from the German Prospective Diabetes Registry. We determined the odds ratios of T1D diagnosis and DKA on a weekday, public holiday, and school vacation. RESULTS: Compared with workdays, the odds ratios of being diagnosed with T1D were lower on weekends (0.39 [95% CI, 0.38-0.41]), public holidays (0.57 [0.53-0.63]), and school vacations (0.83 [0.80-0.85]). The odds of DKA diagnosis were also reduced on weekends (0.55 [0.52-0.59]), public holidays (0.73 [0.63-0.84]), and school vacations (0.85 [0.80-0.90]). Results did not change during the coronavirus 2019 pandemic. CONCLUSIONS: New-onset T1D and DKA in children are more often diagnosed during weekdays than weekends and holidays.


Subject(s)
Diabetes Mellitus, Type 1 , Diabetic Ketoacidosis , Child , Humans , Diabetes Mellitus, Type 1/complications , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/diagnosis , Diabetic Ketoacidosis/epidemiology , Diabetic Ketoacidosis/etiology , Diabetic Ketoacidosis/diagnosis , Prospective Studies , Germany/epidemiology , Registries
7.
Front Endocrinol (Lausanne) ; 14: 1191138, 2023.
Article in English | MEDLINE | ID: mdl-37600703

ABSTRACT

Introduction: Diabetes technology improves glycemic control and quality of life for many people with type 1 diabetes (T1D). However, inequalities in access to diabetes technology exist in many countries. In Germany, disparities in technology use have been described in pediatric T1D, but no data for adults are available so far. We therefore aimed to analyze whether demographic factors and area deprivation are associated with technology use in a representative population of adults with T1D. Materials and methods: In adults with T1D from the German prospective diabetes follow-up registry (DPV), we analyzed the use of continuous subcutaneous insulin infusion (CSII), continuous glucose monitoring (CGM), and sensor augmented pump therapy (SAP, with and without automated insulin delivery) in 2019-2021 by age group, gender, migration background, and area deprivation using multiple adjusted regression models. Area deprivation, defined as a relative lack of area-based resources, was measured by quintiles of the German index of Multiple Deprivation (GIMD 2015, from Q1, least deprived, to Q5, most deprived districts). Results: Among 13,351 adults with T1D, the use of technology decreased significantly with older age: CSII use fell from 56.1% in the 18-<25-year age group to 3.1% in the ≥80-year age group, CGM use from 75.3% to 28.2%, and SAP use from 45.1% to 1.5% (all p for trend <0.001). The use of technology was also significantly higher in women than in men (CSII: 39.2% vs. 27.6%; CGM: 61.9% vs. 58.0%; SAP: 28.7% vs. 19.6%, all p <0.001), and in individuals without migration background than in those with migration background (CSII: 38.8% vs. 27.6%; CGM: 71.1% vs. 61.4%; SAP: 30.5% vs. 21.3%, all p <0.001). Associations with area deprivation were not linear: the use of each technology decreased only from Q2 to Q4. Discussion: Our real-world data provide evidence that higher age, male gender, and migration background are currently associated with lower use of diabetes technology in adults with T1D in Germany. Associations with area deprivation are more complex, probably due to correlations with other factors, like the higher proportion of migrants in less deprived areas or the federal structure of the German health care system.


Subject(s)
Diabetes Mellitus, Type 1 , Adult , Female , Male , Humans , Child , Diabetes Mellitus, Type 1/drug therapy , Diabetes Mellitus, Type 1/epidemiology , Blood Glucose Self-Monitoring , Prospective Studies , Quality of Life , Blood Glucose , Insulin , Germany/epidemiology , Technology
8.
J Health Monit ; 8(2): 57-78, 2023 Jun.
Article in English | MEDLINE | ID: mdl-37408713

ABSTRACT

Background: Trends over time and possible socio-spatial inequalities in the incidence and care of type 1 diabetes mellitus (T1D) in children and adolescents are important parameters for the planning of target-specific treatment structures. Methodology: The incidence and prevalence of type 1 diabetes, diabetic ketoacidosis and severe hypoglycaemia as well as the HbA1c value are presented for under 18-year-olds based on data from the nationwide Diabetes Prospective Follow-up Registry (DPV) and the diabetes registry of North Rhine-Westphalia. Indicators were mapped by sex over time between 2014 and 2020, and stratified by sex, age and regional socioeconomic deprivation for 2020. Results: In 2020, the incidence was 29.2 per 100,000 person-years and the prevalence was 235.5 per 100,000 persons, with the figures being higher in boys than in girls in either case. The median HbA1c value was 7.5%. Ketoacidosis manifested in 3.4% of treated children and adolescents, significantly more often in regions with very high (4.5%) deprivation than in regions with very low deprivation (2.4%). The proportion of severe hypoglycaemia cases was 3.0%. Between 2014 and 2020, the incidence, prevalence and HbA1c levels changed little, while the proportions of ketoacidosis and severe hypoglycaemia decreased. Conclusions: The decrease in acute complications indicates that type 1 diabetes care has improved. Similar to previous studies, the results suggest an inequality in care by regional socioeconomic situation.

9.
Endocr Connect ; 12(4)2023 Apr 01.
Article in English | MEDLINE | ID: mdl-36811912

ABSTRACT

Objective: To analyze the proportion of diabetes among all hospitalized cases in Germany between 2015 and 2020. Methods: Using the nationwide Diagnosis-Related-Groups statistics, we identified among all inpatient cases aged ≥ 20 years all types of diabetes in the main or secondary diagnoses based on ICD-10 codes, as well all COVID-19 diagnoses for 2020. Results: From 2015 to 2019, the proportion of cases with diabetes among all hospitalizations increased from 18.3% (3.01 of 16.45 million) to 18.5% (3.07 of 16.64 million). Although the total number of hospitalizations decreased in 2020, the proportion of cases with diabetes increased to 18.8% (2.73 of 14.50 million). The proportion of COVID-19 diagnosis was higher in cases with diabetes than in those without in all sex and age subgroups. The relative risk (RR) for a COVID-19 diagnosis in cases with vs without diabetes was highest in age group 40-49 years (RR in females: 1.51; in males: 1.41). Conclusions: The prevalence of diabetes in the hospital is twice as high as the prevalence in the general population and has increased further with the COVID-19 pandemic, underscoring the increased morbidity in this high-risk patient group. This study provides essential information that should help to better estimate the need for diabetological expertise in inpatient care settings.

10.
J Diabetes Sci Technol ; : 19322968231156601, 2023 Feb 25.
Article in English | MEDLINE | ID: mdl-36840616

ABSTRACT

AIM: Insulin pump, continuous glucose monitoring (CGM), and sensor augmented pump (SAP) technology have evolved continuously leading to the development of automated insulin delivery (AID) systems. Evaluation of the use of diabetes technologies in people with T1D from January 2018 to December 2021. METHODS: A patient registry (Diabetes Prospective Follow-up Database [DPV]) was analyzed for use of SAP (insulin pump + CGM ≥90 days, no automated dose adjustment) and AID (HCL or LGS/PLGS). In total 46,043 people with T1D aged 0.5 to <26 years treated in 416 diabetes centers (Germany, Austria, Luxemburg, and Switzerland) were included and stratified into 4 groups A-D according to age. Additionally, TiR and HbA1c were analyzed. RESULTS: From 2018 to 2021, there was a significant increase from 28.7% to 32.9% (sensor augmented pump [SAP]) and 3.5% to 16.6% (AID) across all age groups, with the most frequent use in group A (<7 years, 38.8%-40.2% and 10.3%-28.5%). A similar increase in SAP and AID use was observed in groups B (7 to <11 years) and C (11 to <16 years): B: +15.8 PP, C: +15.9 PP. HbA1c improved significantly in groups C and D (16 to <26 years) (both P < .01). Time in range (TiR) increased in all groups (A: +3 PP; B: +5 PP; C: +5 PP; D: +5 PP; P < 0.01 for each group). Insulin pumps (61.0% versus 53.4% male) and SAP (33.5% versus 28.9% male) are used more frequently in females. CONCLUSION: In recent years, we found an increasing use of new diabetes technologies and an improvement in metabolic control (TiR) across all age groups.

11.
Wien Klin Wochenschr ; 135(13-14): 325-335, 2023 Jul.
Article in English | MEDLINE | ID: mdl-36763137

ABSTRACT

OBJECTIVE: To evaluate common surgical procedures and admission causes in inpatient cases with diabetes in Germany between 2015 and 2019 and compare them to inpatient cases without diabetes. METHODS: Based on the German diagnosis-related groups (G-DRG) statistics, regression models stratified by age groups and gender were used to calculate hospital admissions/100,000 individuals, hospital days as well as the proportion of complications and mortality in inpatient cases ≥ 40 years with or without a documented diagnosis of diabetes (type 1 or type 2). RESULTS: A total of 14,222,326 (21%) of all inpatient cases aged ≥ 40 years had a diagnosis of diabetes. More middle-aged females with vs. without diabetes/100,000 individuals [95% CI] were observed, most pronounced in cases aged 40-< 50 years with myocardial infarction (305 [293-319] vs. 36 [36-37], p < 0.001). Higher proportions of complications and longer hospital stays were found for all procedures and morbidities in cases with diabetes. CONCLUSION: Earlier hospitalizations, longer hospital stays and more complications in inpatient cases with diabetes together with the predicted future increase in diabetes prevalence depict huge challenges for the German healthcare system. There is an urgent need for developing strategies to adequately care for patients with diabetes in hospital.


Subject(s)
Diabetes Mellitus , Inpatients , Middle Aged , Female , Humans , Adult , Length of Stay , Hospitalization , Diabetes Mellitus/epidemiology , Hospitals , Germany/epidemiology
12.
Pediatr Diabetes ; 23(8): 1656-1664, 2022 12.
Article in English | MEDLINE | ID: mdl-36097824

ABSTRACT

OBJECTIVE: To examine the prevalence, time trends, and risk factors of diabetic retinopathy (DR) among youth with type 1 diabetes (T1D) from 11 countries (Australia, Austria, Denmark, England, Germany, Italy, Luxemburg, Netherlands, Slovenia, United States, and Wales). SUBJECTS AND METHODS: Data on individuals aged 10-21 years with T1D for >1 year during the period 2000-2020 were analyzed. We used a cross-sectional design using the most recent year of visit to investigate the time trend. For datasets with longitudinal data, we aggregated the variables per participant and observational year, using data of the most recent year to take the longest observation period into account. DR screening was performed through quality assured national screening programs. Multiple logistic regression models adjusted for the year of the eye examination, age, gender, minority status, and duration of T1D were used to evaluate clinical characteristics and the risk of DR. RESULTS: Data from 156,090 individuals (47.1% female, median age 15.7 years, median duration of diabetes 5.2 years) were included. Overall, the unadjusted prevalence of any DR was 5.8%, varying from 0.0% (0/276) to 16.2% between countries. The probability of DR increased with longer disease duration (aORper-1-year-increase  = 1.04, 95% CI: 1.03-1.04, p < 0.0001), and decreased over time (aORper-1-year-increase  = 0.99, 95% CI: 0.98-1.00, p = 0.0093). Evaluating possible modifiable risk factors in the exploratory analysis, the probability of DR increased with higher HbA1c (aORper-1-mmol/mol-increase-in-HbA1c  = 1.03, 95% CI: 1.03-1.03, p < 0.0001) and was higher among individuals with hypertension (aOR = 1.24, 95% CI: 1.11-1.38, p < 0.0001) and smokers (aOR = 1.30, 95% CI: 1.17-1.44, p < 0.0001). CONCLUSIONS: The prevalence of DR in this large cohort of youth with T1D varied among countries, increased with diabetes duration, decreased over time, and was associated with higher HbA1c, hypertension, and smoking.


Subject(s)
Diabetes Mellitus, Type 1 , Diabetic Retinopathy , Hypertension , Humans , Adolescent , Child , Female , Male , Diabetes Mellitus, Type 1/epidemiology , Cross-Sectional Studies , Glycated Hemoglobin , Prevalence , Risk Factors , Diabetic Retinopathy/epidemiology , Hypertension/complications
13.
Diabetes Care ; 45(8): 1807-1813, 2022 08 01.
Article in English | MEDLINE | ID: mdl-35727029

ABSTRACT

OBJECTIVE: To investigate whether socioeconomic deprivation and urbanization are associated with the frequency of diabetic ketoacidosis (DKA) at diagnosis of pediatric type 1 diabetes. RESEARCH DESIGN AND METHODS: Children and adolescents aged ≤18 years, living in Germany, with newly diagnosed type 1 diabetes documented between 2016 and 2019 in the Diabetes Prospective Follow-up Registry (DPV; Diabetes-Patienten-Verlaufsdokumentation), were assigned to a quintile of regional socioeconomic deprivation (German Index of Socioeconomic Deprivation) and to a degree of urbanization (Eurostat) by using their residence postal code. With multiple logistic regression models, we investigated whether the frequency of DKA at diagnosis was associated with socioeconomic deprivation or urbanization and whether associations differed by age-group, sex, or migration status. RESULTS: In 10,598 children and adolescents with newly diagnosed type 1 diabetes, the frequency of DKA was lowest in the least deprived regions (Q1: 20.6% [95% CI 19.0-22.4], and increased with growing socioeconomic deprivation to 26.9% [25.0-28.8] in the most deprived regions [Q5]; P for trend <0.001). In rural areas, the frequency of DKA at diagnosis was significantly higher than in towns and suburbs (intermediate areas) or in cities (27.6% [95% CI 26.0-29.3] vs. 22.7% [21.4-24.0], P < 0.001, or vs. 24.3% [22.9-25.7], P = 0.007, respectively). The results did not significantly differ by age-group, sex, or migration background or after additional adjustment for socioeconomic deprivation or urbanization. CONCLUSIONS: This study provides evidence that prevention of DKA at diagnosis by means of awareness campaigns and screening for presymptomatic type 1 diabetes should particularly target socioeconomically disadvantaged regions and rural areas.


Subject(s)
Diabetes Mellitus, Type 1 , Diabetic Ketoacidosis , Adolescent , Child , Diabetes Mellitus, Type 1/complications , Diabetes Mellitus, Type 1/diagnosis , Diabetes Mellitus, Type 1/epidemiology , Diabetic Ketoacidosis/diagnosis , Diabetic Ketoacidosis/epidemiology , Diabetic Ketoacidosis/etiology , Humans , Prospective Studies , Registries , Socioeconomic Factors , Urbanization
14.
Dtsch Arztebl Int ; 118(24): 407-412, 2021 06 18.
Article in English | MEDLINE | ID: mdl-34369369

ABSTRACT

BACKGROUND: Comprehensive data on the frequency of diabetes mellitus among hospitalized patients in Germany have not been published to date. METHODS: Among all inpatient cases aged ≥20 years that were documented in the German DRG statistics for 2015-2017, we analyzed the frequencies of five types of diabetes (type 1, type 2, other/pancreatic diabetes, "rare diabetes" with an ICD code of E12 or E14, gestational diabetes) and of prediabetes, stratified by sex and age group. The presence of any of these conditions was ascertained from the corresponding ICD-10 code among the main diagnoses (reasons for admission) or secondary diagnoses. We also compared the length of hospital stay, in-hospital mortality, and the frequency of various categories of main diagnosis in cases with and without diabetes in each age group. RESULTS: In the period 2015-2017, approximately 18% of the 16.4 to 16.7 million inpatient cases carried a main or secondary diagnosis of diabetes (in 2017: type 2, 17.1%; type 1, 0.5%). Diabetes was more common in male cases than in female cases (in 2017: type 2, 19.7% vs. 14.8%; type 1, 0.5% vs. 0.4%). In 2017, the greatest difference in length of hospital stay between patients with and without diabetes was for patients with type 1 diabetes aged 40-49 (7.3 vs. 4.5 days), while the greatest difference in in-hospital mortality was for patients with type 2 diabetes aged 70-79 (3.7% vs. 2.8%). From the age of 30 (age category 30-39), diseases of the cardiovascular system, and from the age of 50 (age category 50-59), diseases of the respiratory or urogenital systems were more frequently listed as a reason for admission in cases with than in those without diabetes. CONCLUSION: The fact that diabetes is twice as prevalent in hospitalized cases as in the general population underscores the high morbidity associated with the disease and the greater need of persons with diabetes for in-hospital care, as the population of multimorbid diabetes patients continues to grow older.


Subject(s)
Diabetes Mellitus, Type 1 , Diabetes Mellitus, Type 2 , Female , Hospital Mortality , Hospitalization , Hospitals , Humans , Length of Stay , Male
15.
J Diabetes Sci Technol ; 15(5): 1059-1068, 2021 09.
Article in English | MEDLINE | ID: mdl-34253084

ABSTRACT

BACKGROUND: Despite increasing use of technology in type 1 diabetes, persistent ethnic and socio-economic disparities have been reported. We analyzed how the use of insulin pump therapy and continuous glucose monitoring (CGM) evolved over the years in Germany depending on demographics and area deprivation. METHOD: We investigated the use of insulin pump and CGM between 2016 and 2019 in 37,798 patients with type 1 diabetes aged < 26 years from the German Prospective Follow-up Registry (DPV). Associations with federal state, area-deprivation quintile (German Index of Multiple Deprivation 2010 on district level), gender, and migration background were investigated over time using multiple logistic regression. RESULTS: Between 2016 and 2019, the regional distribution of insulin pump use did not change substantially and the association with area deprivation remained non-linear and statistically non-significant. The effect of area deprivation on CGM use decreased continuously and disappeared in 2019 (OR [95%-CI] Q1 vs Q5: 1.85 [1.63-2.10] in 2016; 0.97 [0.88-1.08] in 2019). The effect of migration background on the use of either technology decreased over the years but remained significant in 2019. Girls had constantly higher odds of using an insulin pump than boys (OR: 1.25 [1.18-1.31] in 2019), whereas no gender difference was identified for CGM use. CONCLUSIONS: Although disparities decreased in Germany, access to diabetes technology still depends on migration background in 2019, and gender differences in pump use persist. As technological advances are made, further research is needed to understand the reasons for these persistent disparities.


Subject(s)
Blood Glucose Self-Monitoring , Diabetes Mellitus, Type 1 , Blood Glucose , Demography , Diabetes Mellitus, Type 1/drug therapy , Diabetes Mellitus, Type 1/epidemiology , Female , Germany/epidemiology , Humans , Hypoglycemic Agents/therapeutic use , Insulin/therapeutic use , Insulin Infusion Systems , Male , Prospective Studies , Technology
16.
J Diabetes ; 13(11): 930-939, 2021 Nov.
Article in English | MEDLINE | ID: mdl-34184423

ABSTRACT

BACKGROUND: Available basal insulin regimes differ in pharmacokinetic profiles, which may be related to subsequent changes in anthropometry in patients with type 1 diabetes. This analysis elucidates the standardized height and body mass index development (height and BMI standard deviation score [height-SDS and BMI-SDS]) in pediatric type 1 diabetes patients depending on the choice of basal insulin. METHODS: Longitudinal data of 10 338 German/Austrian patients from the Diabetes Prospective Follow-up (DPV, Diabetes Patienten Verlaufsdokumentation) database were analyzed. Patients aged 5.0 to 16.9 years were treated exclusively with neutral protamine Hagedorn (NPH), insulin detemir (IDet), insulin glargine (IGla), or continuous subcutaneous insulin infusion (CSII) for at least 3 years. Population-based German reference data were used to calculate height-SDS and BMI-SDS. Multiple linear regression was conducted. RESULTS: BMI-SDS increased significantly in all regimes (NPH P = .0365; IDet P = .0003; IGla P < .0001; and CSII P < .0001). Direct comparison of the therapies revealed a favorable association only for NPH vs IGla. A rise in BMI-SDS was observed for all insulins in females, but only for IGla in males. BMI-SDS increment was not observed before 8 years of age. Initially and at the end of the observation period, mean height was above the 50th percentile of the reference population. Across the cohort, height-SDS declined during the observation period, except for CSII. Apart from the 5.0- to 7.9-year-old subgroup, long-acting insulin analogues were associated with a significant loss of height-SDS. CONCLUSIONS: Choice of basal insulin regimen might influence height development. CSII appeared to have a favorable effect on growth trajectories. All therapies were associated with an increase of BMI-SDS, most evident in females.


Subject(s)
Body Mass Index , Diabetes Mellitus, Type 1/drug therapy , Hypoglycemic Agents/administration & dosage , Insulin/administration & dosage , Registries/statistics & numerical data , Adolescent , Austria/epidemiology , Biomarkers/analysis , Blood Glucose/analysis , Child , Child, Preschool , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/metabolism , Diabetes Mellitus, Type 1/pathology , Female , Follow-Up Studies , Germany/epidemiology , Glycated Hemoglobin/analysis , Humans , Insulin/classification , Insulin Detemir/administration & dosage , Insulin Glargine/administration & dosage , Insulin, Long-Acting/administration & dosage , Longitudinal Studies , Male , Prognosis , Prospective Studies
17.
Diabetes Care ; 44(1): 133-140, 2021 01.
Article in English | MEDLINE | ID: mdl-32938745

ABSTRACT

OBJECTIVE: As diabetes technology use in youth increases worldwide, inequalities in access may exacerbate disparities in hemoglobin A1c (HbA1c). We hypothesized that an increasing gap in diabetes technology use by socioeconomic status (SES) would be associated with increased HbA1c disparities. RESEARCH DESIGN AND METHODS: Participants aged <18 years with diabetes duration ≥1 year in the Type 1 Diabetes Exchange (T1DX, U.S., n = 16,457) and Diabetes Prospective Follow-up (DPV, Germany, n = 39,836) registries were categorized into lowest (Q1) to highest (Q5) SES quintiles. Multiple regression analyses compared the relationship of SES quintiles with diabetes technology use and HbA1c from 2010-2012 to 2016-2018. RESULTS: HbA1c was higher in participants with lower SES (in 2010-2012 and 2016-2018, respectively: 8.0% and 7.8% in Q1 and 7.6% and 7.5% in Q5 for DPV; 9.0% and 9.3% in Q1 and 7.8% and 8.0% in Q5 for T1DX). For DPV, the association between SES and HbA1c did not change between the two time periods, whereas for T1DX, disparities in HbA1c by SES increased significantly (P < 0.001). After adjusting for technology use, results for DPV did not change, whereas the increase in T1DX was no longer significant. CONCLUSIONS: Although causal conclusions cannot be drawn, diabetes technology use is lowest and HbA1c is highest in those of the lowest SES quintile in the T1DX, and this difference for HbA1c broadened in the past decade. Associations of SES with technology use and HbA1c were weaker in the DPV registry.


Subject(s)
Diabetes Mellitus, Type 1 , Adolescent , Child , Diabetes Mellitus, Type 1/epidemiology , Germany , Glycated Hemoglobin/analysis , Humans , Prospective Studies , Registries , Technology
18.
Eur J Pediatr ; 180(2): 597-606, 2021 Feb.
Article in English | MEDLINE | ID: mdl-33258970

ABSTRACT

In pediatric diabetes, insulin pump therapy is associated with less acute complications but inpatient pump education may lead to more hospital days. We investigated the number of hospital days associated with pump vs. injection therapy between 2009 and 2018 in 48,756 patients with type 1 diabetes < 20 years of age from the German Diabetes Prospective Follow-up Registry (DPV). Analyses were performed separately for hospitalizations at diagnosis (hierarchical linear models adjusted for sex, age, and migration), and for hospitalizations in the subsequent course of the disease (hierarchical Poisson models stratified by sex, age, migration, and therapy switch). At diagnosis, the length of hospital stay was longer with pump therapy than with injection therapy (mean estimate with 95% CI: 13.6 [13.3-13.9] days vs. 12.8 [12.5-13.1] days, P < 0.0001), whereas during the whole follow-up beyond diagnosis, the number of hospital days per person-year (/PY) was higher with injection therapy than with pump therapy (4.4 [4.1-4.8] vs. 3.9 [3.6-4.2] days/PY), especially for children under 5 years of age (4.9 [4.4-5.6] vs. 3.5 [3.1-3.9] days/PY).Conclusions: Even in countries with hospitalizations at diabetes diagnosis of longer duration, the use of pump therapy is associated with a reduced number of hospital days in the long-term. What is known: • In pediatric diabetes, insulin pump therapy is associated with better glycemic control and less acute complications compared with injection therapy. • However, pump therapy implies more costs and resources for education and management. What is new: • Even in countries where pump education is predominantly given in an inpatient setting, the use of pump therapy is associated with a reduced number of hospital days in the long-term. • Lower rates of hospitalization due to acute complications during the course of the disease counterbalance longer hospitalizations due to initial pump education.


Subject(s)
Diabetes Mellitus, Type 1 , Adolescent , Child , Child, Preschool , Diabetes Mellitus, Type 1/drug therapy , Hospitals , Humans , Hypoglycemic Agents , Insulin/therapeutic use , Insulin Infusion Systems , Prospective Studies , Young Adult
19.
Exp Clin Endocrinol Diabetes ; 128(5): 325-331, 2020 May.
Article in English | MEDLINE | ID: mdl-30278471

ABSTRACT

INTRODUCTION: In Germany, inpatient rehabilitation is a well-established additive option in the therapeutic concept for children and adolescents with diabetes. However, its contribution in pediatric diabetes care is not known exactly. Our objective was to analyze inpatient rehabilitation in pediatric diabetes over eight years in Germany. METHODS: We requested secondary data from the German Statutory Pension Insurance Scheme to evaluate all completed inpatient rehabilitations for children and adolescents with diabetes (ICD-code E10-14) reimbursed by this institution between 2006 and 2013. For each type of diabetes, we analyzed the distribution of admissions by year, age-group, sex, nationality, and other documented diagnoses. All analyses were conducted via remote computing with IBM SPSS Version 24. RESULTS: Between 2006 and 2013, 5,403 admissions to inpatient rehabilitation for 4,746 children and adolescents with diabetes were documented. For type 1 diabetes (T1D; 88.5% of admissions), the number of yearly admissions increased from 458 in 2006 to 688 in 2013 (p=0.013), especially for age-group>5-10. The increase for type 2 diabetes (T2D) was not significant. Admissions were more frequent for girls (53.6%, p≤0.001), age>10-15 years (42.8%, p=0.001), and German nationality (98.5%). Obesity (T1D: 11.1%; T2D: 87.9%) and mental disorders (T1D: 11.6%; T2D: 27.4%) were the most frequent documented diagnoses in addition to diabetes. CONCLUSION: This study provides a comprehensive overview of inpatient rehabilitation for children and adolescents with diabetes over many years in Germany. Until 2013, inpatient rehabilitation remained important in pediatric diabetes care, especially for children with mental disorders or obesity.


Subject(s)
Diabetes Mellitus, Type 1/rehabilitation , Diabetes Mellitus, Type 2/rehabilitation , Hospitalization/statistics & numerical data , Adolescent , Child , Child, Preschool , Comorbidity , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Female , Germany/epidemiology , Humans , Inpatients , Male , Mental Disorders/epidemiology , Mental Disorders/rehabilitation , National Health Programs/statistics & numerical data , Pediatric Obesity/epidemiology , Pediatric Obesity/rehabilitation
20.
Exp Clin Endocrinol Diabetes ; 128(9): 615-623, 2020 Sep.
Article in English | MEDLINE | ID: mdl-31426109

ABSTRACT

INTRODUCTION: Regarding pediatric diabetes, hospital admission for acute complications of type 1 diabetes (T1D) has often been investigated, but little is known about other causes of hospitalization. This study aimed to explore the total burden of hospitalization in individuals with diabetes<20 years of age in Germany. METHODS: Using the German Diagnosis-Related Groups data for 2015, we examined the frequencies of hospitalization with diabetes (20 251 inpatient cases), stratified by diabetes type [T1D, type 2 diabetes (T2D), other specified diabetes types (T3D), and unclear diabetes], and without diabetes (1 269 631 inpatient cases). Using estimates of the population at risk with T1D, T2D, and without diabetes, we evaluated hospitalization rates (per patient-year) by Poisson regression. For T1D, T2D, and T3D, we investigated the most frequent diagnoses and the median length of stay. Most analyses were stratified by sex, age-group and east/west residence. RESULTS: Children and adolescents with diabetes had a 6 to 9 times higher hospitalization risk than peers without diabetes (hospitalization rate 0.09). The hospitalization rate was higher for T2D compared with T1D (0.84 vs. 0.53, P<0.001). In T2D, two-third of inpatient cases were not directly related to diabetes, and stay was shorter compared with T1D and T3D (3 vs. 4 and 5 days, respectively). In T1D, hospitalization was more frequent among girls than boys (0.58 vs. 0.49, P<0.001), and mostly due to "diabetes without complications" (65.7%). Hospitalization tended to be more frequent and longer in the youngest patients, and in those with east residence. CONCLUSION: Hospitalization rate in pediatric diabetes in Germany remained high, especially for T2D patients, girls with T1D, and young children.


Subject(s)
Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Hospitalization/statistics & numerical data , Adolescent , Child , Child, Preschool , Comorbidity , Diabetes Mellitus, Type 1/therapy , Diabetes Mellitus, Type 2/therapy , Female , Germany/epidemiology , History, 21st Century , Hospitalization/trends , Humans , Infant , Infant, Newborn , Male , Patient Admission/statistics & numerical data , Patient Admission/trends , Pediatrics/statistics & numerical data , Young Adult
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