Hospital admission in children and adolescents with or without type 1 diabetes from Germany: An analysis of statutory health insurance data on 12 million subjects

Hospital admissions among people with diabetes: A systematic review

OBJECTIVE

To describe the reasons for hospital admission among people with diabetes.

METHODS

We searched Emcare, Embase, Medline and Google Scholar databases for population-based studies describing the causes of hospitalisation among people with diabetes. We included articles published in English from 1980 to 2022. For each study, we determined the most frequent reasons for admission. Studies were assessed for quality using the Newcastle Ottawa quality assessment tool.

RESULTS

6920 research articles were retrieved from the search of all sources. After screening the titles and abstracts of these, we reviewed the full text of 135 papers and finally included data from 42 studies. Admissions among the total diabetes were reported in 25 papers: 5 articles reported type 1 diabetes alone, 10 articles reported type 2 diabetes alone and the remaining 2 articles reported type 1 and type 2 diabetes separately. Among the 25 total and type 2 diabetes studies that reported the distribution of hospitalisations in broad categories, cardiovascular diseases (CVD) were the leading cause of admission in 19/25 (76%) of studies. Among the 19 studies that reported CVD admissions by subcategories, ischaemic or coronary heart disease was the leading subtype of CVD in 58% of studies. The other common causes of admissions were infections, renal disorders, endocrine, nutritional, metabolic and immunity disorders. In people with type 1 diabetes, acute diabetes complications were the leading cause of admission.

CONCLUSION

CVD are the leading cause of hospital admission for people with diabetes, with ischaemic or coronary heart disease as the predominant subtype.

Hospitalization and comorbidity in children with type 2 diabetes

OBJECTIVE

To describe hospitalization rates and reasons for hospitalization in children with type 2 diabetes (T2D) and to compare these rates to a matched cohort without diabetes and to children with type 1 diabetes (T1D).

METHODS

Population-based cohorts of 528 children (7-18 years of age) with prevalent T2D, 1519 matched control children without diabetes and 778 children with T1D were identified from a clinical registry and linked to health care records to assess hospitalizations and reasons for hospitalizations using ICD-9CM and ICD-10CA codes.

RESULTS

Children with T2D are more likely than their matched controls and children with T1D to be admitted to hospital in the year prior to diagnosis {RR 2.83 (1.77, 4.53) p < 0.0001 and 8.05 (4.05, 16.00) p < 0.0001, respectively}, in the first year post diagnosis {RR 3.19 (2.08, 4.89) p < 0.0001 and 3.04 (1.86, 4.98) p < 0.0001, respectively} and in the 5 year post diagnosis period {RR 1.99 (1.56, 2.53) p < 0.0001 and 1.91 (1.48, 2.46) p < 0.0001, respectively}. Mental illness was the most common cause for hospital admission in both children with T2D and their matched controls.

CONCLUSIONS

This differs from children with T1D where endocrine causes constitute the most common reason for hospital admission. This analysis provides novel data on hospitalization rates and diagnoses in the increasing population of children with T2D. This information is important to inform health care programming and health policy planning to best meet the needs of this population.

Hospital service use for young people with chronic health conditions: A population-based matched retrospective cohort study

AIM

This study aims to identify the hospitalised morbidity associated with three common chronic health conditions among young people using a population-based matched cohort.

METHODS

A population-level matched case-comparison retrospective cohort study of young people aged ≤18 years hospitalised with asthma, type 1 diabetes (T1D) or epilepsy during 2005-2018 in New South Wales, Australia using linked birth, health and mortality records. The comparison cohort was matched on age, sex and residential postcode. Adjusted rate ratios (ARR) were calculated by sex and age group.

RESULTS

There were 65 055 young people hospitalised with asthma, 6648 with epilepsy, and 2209 with T1D. Young people with epilepsy (ARR 10.95; 95% confidence interval (CI) 9.98-12.02), T1D (ARR 8.64; 95% CI 7.72-9.67) or asthma (ARR 4.39; 95% CI 4.26-4.53) all had a higher risk of hospitalisation than matched peers. Admission risk was highest for males (ARR 11.00; 95% CI 9.64-12.56) and females with epilepsy (ARR 10.83; 95% CI 9.54-12.29) compared to peers. The highest admission risk by age group was for young people aged 10-14 years (ARR 5.50; 95% CI 4.77-6.34) living with asthma, children aged ≤4 years (ARR 12.68; 95% CI 11.35-14.17) for those living with epilepsy, and children aged 5-9 years (ARR 9.12; 95% CI 7.69-10.81) for those living with T1D compared to peers.

CONCLUSIONS

The results will guide health service planning and highlight opportunities for better management of chronic health conditions, such as further care integration between acute, primary and community health services for young people.

Is there an optimal approach to elective stabilisation of glycaemic control in children and adolescents with type 1 diabetes mellitus?

AIM

To investigate the effectiveness of inpatient and outpatient interventions in attaining improved glycaemic control in children/adolescents with type 1 diabetes mellitus and persistently high/deteriorating HbA1c.

METHODS

A retrospective study at a tertiary paediatric centre. Admitted individuals who had prior attempts at ambulatory stabilisation were matched with intervention naïve controls who underwent outpatient intervention. The mean age was 14.6 years in the admitted group and 14.7 years in the ambulatory group. Mean duration of diabetes was 6.1 years in the admitted group and 7.3 years in the ambulatory group. Change in HbA1c from baseline was assessed to 12 months.

RESULTS

Mean baseline HbA1c was 11.3% (100 mmol/mol), with 11.4% in the admitted group and 11.2% in the ambulatory group. Sustained reduction in HbA1c at 12 months was seen in both groups (n = 35 in each): mean (standard deviation) 10.1% (1.5) in admitted (mean reduction in HbA1c 1.4%) and 9.7% (1.4) in ambulatory (mean reduction in HbA1c 1.5%). Proportions achieving delta HbA1c ≥2% (22 mmol/mol) at 12 months were 25 and 31% in admitted and ambulatory groups, respectively. A sustained reduction in HbA1c of ≥2% (22 mmol/mol) after 12 months was more likely in those who attained this reduction by 6 months (17/24 who achieved this at 6 months vs. 3/41 who had not).

CONCLUSIONS

Both inpatient and outpatient stabilisation strategies achieved sustained improvements in HbA1c. We recommend an individualised approach to stabilisation, with review of the intervention's success at 6 months with further intensification as needed.

Excess mortality in adults with documented diabetes in Germany: routine data analysis of all insurance claims in Germany 2013-2014

OBJECTIVES

Little is known about the age-specific excess mortality pattern of people with diagnosed diabetes in Germany. Thus, our goal was to determine the excess mortality in diagnosed diabetes overall and stratified by age and sex based on claims data.

DESIGN

Routine data analysis using a claims dataset from all statutory health-insured persons in Germany in 2013, which accounts for about 90% of the population.

PARTICIPANTS

We included persons who lived in Germany, were insured at least 360 days, were not self-paying any health services and were aged 30 years or older leading to a total number of 47.3 million insured persons for analyses.

EXPOSURE

Diabetes was determined by the International Classification of Diseases-10 codes E10-E14, which were documented in 2013 in at least two-quarters on an outpatient setting or at least once on an inpatient setting.

OUTCOME MEASURES

The vital status in the study population was drawn from the claims dataset for the year 2014. We derived the excess mortality estimated as an age-adjusted mortality rate ratio (MRR) by sex and for age groups using a Poisson model.

MAIN RESULTS

We found age-adjusted MRRs (95% CI) for diabetes of 1.52 (1.51 to 1.52) for women and 1.56 (1.56 to 1.56) for men. These figures declined with increasing age and were highest for ages 30-34 years with 6.76 (4.99 to 9.15) for women and 6.87 (5.46 to 8.64) for men, and lowest for age 95 years and older with 1.13 (1.10 to 1.15) for women and 1.11 (1.05 to 1.17) for men.

CONCLUSIONS

We derived deeply age-stratified figures on excess mortality in diabetes for Germany. Establishing a sustainable analysis of excess mortality is aimed at within the framework of diabetes surveillance.

[Prevalence and incidence of documented diabetes based on health claims data-reference analysis for diabetes surveillance in Germany]

BACKGROUND

The prevalence and incidence of documented diabetes are two essential indicators intended to be reported on a periodic basis within the framework of diabetes surveillance in Germany.

METHODOLOGY

Data provided based on the Data Transparency Act were analyzed. The data contain information on outpatient and inpatient care for all approximately 70 million persons with statutory health insurance. The case definition for the prevalence of documented diabetes comprises a confirmed outpatient diagnosis in at least two quarters of a year or an inpatient diagnosis in at least one quarter of a year in accordance with ICD-10 codes E10.- to E14.-. The incidence was calculated based on the same definition and with one year of diagnosis-free lead time.

RESULTS

In 2011, a prevalence of 9.7% (women: 9.4%, men: 10.1%) was observed for persons with statutory health insurance. There are considerable differences in prevalence between the federal states and the maximum gap is 7.1 percentage points (age standardized: 4.0 percentage points). Type 2 and type 1 diabetes show a documented prevalence of 7.5% and 0.28%, respectively. Unspecified diabetes is documented relatively frequently with 1.9%. In 0.21% of persons, the diagnosis diabetes is documented via one inpatient secondary diagnosis. In addition, 0.17% of people without documented diabetes have at least one prescription of an antidiabetic drug. In 2012, 565,040 insured persons were newly diagnosed with diabetes; this corresponds to 1.0% of the insured persons (women: 1.0%, men: 1.1%).

DISCUSSION

The developed reference analysis is suitable for reporting the prevalence and incidence of documented diabetes within the framework of diabetes surveillance. The differentiation of diabetes types is difficult due to coding practice.

Hospitalization in Pediatric Diabetes: A Nationwide Analysis of all Admission Causes for Germany in 2015

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.