BACKGROUND: Advances in paediatric type 1 diabetes management and increased use of diabetes technology have led to improvements in glycaemia, reduced risk of severe hypoglycaemia, and improved quality of life. Since 1993, progressively lower HbA1c targets have been set. The aim of this study was to perform a longitudinal analysis of HbA1c, treatment regimens, and acute complications between 2013 and 2022 using data from eight national and one international paediatric diabetes registries. METHODS: In this longitudinal analysis, we obtained data from the Australasian Diabetes Data Network, Czech National Childhood Diabetes Register, Danish Registry of Childhood and Adolescent Diabetes, Diabetes Prospective Follow-up Registry, Norwegian Childhood Diabetes Registry, England and Wales' National Paediatric Diabetes Audit, Swedish Childhood Diabetes Registry, T1D Exchange Quality Improvement Collaborative, and the SWEET initiative. All children (aged ≤18 years) with type 1 diabetes with a duration of longer than 3 months were included. Investigators compared data from 2013 to 2022; analyses performed on data were pre-defined and conducted separately by each respective registry. Data on demographics, HbA1c, treatment regimen, and event rates of diabetic ketoacidosis and severe hypoglycaemia were collected. ANOVA was performed to compare means between registries and years. Joinpoint regression analysis was used to study significant breakpoints in temporal trends. FINDINGS: In 2022, data were available for 109 494 children from the national registries and 35 590 from SWEET. Between 2013 and 2022, the aggregated mean HbA1c decreased from 8·2% (95% CI 8·1-8·3%; 66·5 mmol/mol [65·2-67·7]) to 7·6% (7·5-7·7; 59·4mmol/mol [58·2-60·5]), and the proportion of participants who had achieved HbA1c targets of less than 7% (<53 mmol/mol) increased from 19·0% to 38·8% (p<0·0001). In 2013, the aggregate event rate of severe hypoglycaemia rate was 3·0 events per 100 person-years (95% CI 2·0-4·9) compared with 1·7 events per 100 person-years (1·0-2·7) in 2022. In 2013, the aggregate event rate of diabetic ketoacidosis was 3·1 events per 100 person-years (95% CI 2·0-4·8) compared with 2·2 events per 100 person-years (1·4-3·4) in 2022. The proportion of participants with insulin pump use increased from 42·9% (95% CI 40·4-45·5) in 2013 to 60·2% (95% CI 57·9-62·6) in 2022 (mean difference 17·3% [13·8-20·7]; p<0·0001), and the proportion of participants using continuous glucose monitoring (CGM) increased from 18·7% (95% CI 9·5-28·0) in 2016 to 81·7% (73·0-90·4) in 2022 (mean difference 63·0% [50·3-75·7]; p<0·0001). INTERPRETATION: Between 2013 and 2022, glycaemic outcomes have improved, parallel to increased use of diabetes technology. Many children had HbA1c higher than the International Society for Pediatric and Adolescent Diabetes (ISPAD) 2022 target. Reassuringly, despite targeting lower HbA1c, severe hypoglycaemia event rates are decreasing. Even for children with type 1 diabetes who have access to specialised diabetes care and diabetes technology, further advances in diabetes management are required to assist with achieving ISPAD glycaemic targets. FUNDING: None. TRANSLATIONS: For the Norwegian, German, Czech, Danish and Swedish translations of the abstract see Supplementary Materials section.
- MeSH
- diabetes mellitus 1. typu * epidemiologie krev farmakoterapie MeSH
- dítě MeSH
- glykovaný hemoglobin * analýza MeSH
- hypoglykemie epidemiologie MeSH
- hypoglykemika * terapeutické užití MeSH
- kojenec MeSH
- krevní glukóza * analýza MeSH
- lidé MeSH
- longitudinální studie MeSH
- mladiství MeSH
- předškolní dítě MeSH
- registrace * statistika a číselné údaje MeSH
- regulace glykemie statistika a číselné údaje metody MeSH
- výsledek terapie MeSH
- Check Tag
- dítě MeSH
- kojenec MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- předškolní dítě MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
AIMS/HYPOTHESIS: Monogenic diabetes is estimated to account for 1-6% of paediatric diabetes cases in primarily non-consanguineous populations, while the incidence and genetic spectrum in consanguineous regions are insufficiently defined. In this single-centre study we aimed to evaluate diabetes subtypes, obtain the consanguinity rate and study the genetic background of individuals with syndromic and neonatal diabetes in a population with a high rate of consanguinity. METHODS: Data collection was carried out cross-sectionally in November 2021 at the paediatric diabetic clinic, Dr Jamal Ahmad Rashed Hospital, in Sulaimani, Kurdistan, Iraq. At the time of data collection, 754 individuals with diabetes (381 boys) aged up to 16 years were registered. Relevant participant data was obtained from patient files. Consanguinity status was known in 735 (97.5%) participants. Furthermore, 12 families of children with neonatal diabetes and seven families of children with syndromic diabetes consented to genetic testing by next-generation sequencing. Prioritised variants were evaluated using the American College of Medical Genetics and Genomics guidelines and confirmed by Sanger sequencing. RESULTS: A total of 269 of 735 participants (36.5%) with known consanguinity status were offspring of consanguineous families. An overwhelming majority of participants (714/754, 94.7%) had clinically defined type 1 diabetes (35% of them were born to consanguineous parents), whereas only eight (1.1%) had type 2 diabetes (38% consanguineous). Fourteen (1.9%) had neonatal diabetes (50% consanguineous), seven (0.9%) had syndromic diabetes (100% consanguineous) and 11 (1.5%) had clinically defined MODY (18% consanguineous). We found that consanguinity was significantly associated with syndromic diabetes (p=0.0023) but not with any other diabetes subtype. The genetic cause was elucidated in ten of 12 participants with neonatal diabetes who consented to genetic testing (homozygous variants in GLIS3 [sibling pair], PTF1A and ZNF808 and heterozygous variants in ABCC8 and INS) and four of seven participants with syndromic diabetes (homozygous variants in INSR, SLC29A3 and WFS1 [sibling pair]). In addition, a participant referred as syndromic diabetes was diagnosed with mucolipidosis gamma and probably has type 2 diabetes. CONCLUSIONS/INTERPRETATION: This unique single-centre study confirms that, even in a highly consanguineous population, clinically defined type 1 diabetes is the prevailing paediatric diabetes subtype. Furthermore, a pathogenic cause of monogenic diabetes was identified in 83% of tested participants with neonatal diabetes and 57% of participants with syndromic diabetes, with most variants being homozygous. Causative genes in our consanguineous participants were markedly different from genes reported from non-consanguineous populations and also from those reported in other consanguineous populations. To correctly diagnose syndromic diabetes in consanguineous populations, it may be necessary to re-evaluate diagnostic criteria and include additional phenotypic features such as short stature and hepatosplenomegaly.
- MeSH
- diabetes mellitus 1. typu * epidemiologie genetika MeSH
- diabetes mellitus 2. typu * epidemiologie genetika diagnóza MeSH
- dítě MeSH
- kohortové studie MeSH
- lidé MeSH
- mutace genetika MeSH
- nemoci novorozenců * genetika MeSH
- novorozenec MeSH
- pokrevní příbuzenství MeSH
- proteiny přenášející nukleosidy genetika MeSH
- senioři MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mužské pohlaví MeSH
- novorozenec MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Irák MeSH
Vzrůstající celosvětová incidence tohoto autoimunitního onemocnění, nové typy krátkodobě působících inzulinových analog a zlepšující se využití moderních technologií monitorace glykemie současně s využitím algoritmu hybridních uzavřených smyček inzulinových pump vedou ke zlepšení celkové péče o pacienty s diabetem a zlepšují dlouhodobou kompenzaci základního onemocnění. Přehledový článek se snaží shrnout současné trendy léčby diabetu mellitu 1. typu v dětské populaci a poukázat i na její možné komplikace.
The world-wide increasing incidence of this autoimunne disease, new types of short-acting insulin analogues and the improvement of the use of modern technologies, such as continuous glucose monitoring and the closed-loop hybrid insulin pump algorithm, lead to an improvement in the overal care of diabetics and a better long-term compensation of the underlying disease. The review article tries to summarize the current trends in the treatment of diabetes mellitus type I in the pediatric population and point out its possible complications. Key words: diabetes mellitus type 1, insulin, continuous glucose monitoring, insulin pumps.
- MeSH
- diabetes mellitus 1. typu * epidemiologie farmakoterapie MeSH
- dítě MeSH
- dlouhodobě působící inzulin aplikace a dávkování terapeutické užití MeSH
- inzulin aplikace a dávkování terapeutické užití MeSH
- inzulinové infuzní systémy MeSH
- komplikace diabetu MeSH
- kontinuální monitorování glukózy MeSH
- krátkodobě působící inzuliny aplikace a dávkování terapeutické užití MeSH
- lidé MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- Publikační typ
- přehledy MeSH
- MeSH
- COVID-19 komplikace MeSH
- diabetes mellitus 1. typu * epidemiologie etiologie MeSH
- dítě MeSH
- dospělí MeSH
- epidemiologické studie MeSH
- incidence MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- Publikační typ
- komentáře MeSH
- souhrny MeSH
- Geografické názvy
- Dánsko MeSH
AIMS: Specific patterns in incidence may reveal environmental explanations for type 1 diabetes incidence. We aimed to study type 1 diabetes incidence in European childhood populations to assess whether an increase could be attributed to either period or cohort effects. METHODS: Nineteen EURODIAB centres provided single year incidence data for ages 0-14 in the 25-year period 1989-2013. Case counts and person years were classified by age, period and cohort (APC) in 1-year classes. APC Poisson regression models of rates were fitted using restricted cubic splines for age, period and cohort per centre and sex. Joint models were fitted for all centres and sexes, to find a parsimonious model. RESULTS: A total of 57,487 cases were included. In ten and seven of the 19 centres the APC models showed evidence of nonlinear cohort effects or period effects, respectively, in one or both sexes and indications of sex-specific age effects. Models showed a positive linear increase ranging from approximately 0.6 to 6.6%/year. Centres with low incidence rates showed the highest overall increase. A final joint model showed incidence peak at age 11.6 and 12.6 for girls and boys, respectively, and the rate-ratio was according to sex below 1 in ages 5-12. CONCLUSION: There was reasonable evidence for similar age-specific type 1 diabetes incidence rates across the EURODIAB population and peaks at a younger age for girls than boys. Cohort effects showed nonlinearity but varied between centres and the model did not contribute convincingly to identification of environmental causes of the increase.
- MeSH
- diabetes mellitus 1. typu * epidemiologie MeSH
- dítě MeSH
- incidence MeSH
- kojenec MeSH
- lidé MeSH
- mladiství MeSH
- následné studie MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- registrace MeSH
- záchvaty MeSH
- Check Tag
- dítě MeSH
- kojenec MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: An increased prevalence of diabetic ketoacidosis at diagnosis of type 1 diabetes in children was observed in various diabetes centres worldwide during the COVID-19 pandemic. We aimed to evaluate trends in the prevalence of diabetic ketoacidosis at diagnosis of paediatric type 1 diabetes before and during the COVID-19 pandemic, and to identify potential predictors of changes in diabetic ketoacidosis prevalence during the pandemic. METHODS: For this international multicentre study, we used data from 13 national diabetes registries (Australia, Austria, Czechia, Denmark, Germany, Italy, Luxembourg, New Zealand, Norway, Slovenia, Sweden, USA [Colorado], and Wales). The study population comprised 104 290 children and adolescents aged 6 months to younger than 18 years, who were diagnosed with type 1 diabetes between Jan 1, 2006, and Dec 31, 2021. The observed diabetic ketoacidosis prevalence in 2020 and 2021 was compared to predictions based on trends over the pre-pandemic years 2006-19. Associations between changes in diabetic ketoacidosis prevalence and the severity of the COVID-19 pandemic and containment measures were examined with excess all-cause mortality in the whole population and the Stringency Index from the Oxford COVID-19 Government Response Tracker. FINDINGS: 87 228 children and adolescents were diagnosed with type 1 diabetes between 2006 and 2019, 8209 were diagnosed in 2020, and 8853 were diagnosed in 2021. From 2006 to 2019, diabetic ketoacidosis at diagnosis of type 1 diabetes was present in 23 775 (27·3%) of 87 228 individuals and the mean annual increase in the prevalence of diabetic ketoacidosis in the total cohort from 2006 to 2019 was 1·6% (95% CI 1·3 to 1·9). The adjusted observed prevalence of diabetic ketoacidosis at diagnosis of type 1 diabetes was 39·4% (95% CI 34·0 to 45·6) in 2020 and 38·9% (33·6 to 45·0) in 2021, significantly higher than the predicted prevalence of 32·5% (27·8 to 37·9) for 2020 and 33·0% (28·3 to 38·5) for 2021 (p<0·0001 for both years). The prevalence of diabetic ketoacidosis was associated with the pandemic containment measures, with an estimated risk ratio of 1·037 (95% CI 1·024 to 1·051; p<0·0001) per ten-unit increase in the Stringency Index for 2020 and 1·028 (1·009 to 1·047; p=0·0033) for 2021, but was not significantly associated with excess all-cause mortality. INTERPRETATION: During the COVID-19 pandemic, there was a marked exacerbation of the pre-existing increase in diabetic ketoacidosis prevalence at diagnosis of type 1 diabetes in children. This finding highlights the need for early and timely diagnosis of type 1 diabetes in children and adolescents. FUNDING: German Federal Ministry for Education and Research, German Robert Koch Institute, German Diabetes Association, German Diabetes Foundation, Slovenian Research Agency, Welsh Government, Central Denmark Region, and Swedish Association of Local Authorities and Regions.
- MeSH
- COVID-19 * diagnóza epidemiologie MeSH
- diabetes mellitus 1. typu * diagnóza epidemiologie komplikace MeSH
- diabetická ketoacidóza * diagnóza epidemiologie komplikace MeSH
- dítě MeSH
- lidé MeSH
- mladiství MeSH
- pandemie MeSH
- prevalence MeSH
- registrace MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mladiství MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
BACKGROUND: To explore type 1 diabetes incidence patterns during the pandemic years 2020 and 2021 in Czechia, to compare them to the trends from the previous decade, and to test its association with indicators of containment measures and of pandemic severity (school closing and the all-cause excess mortality). METHODS: The Czech Childhood Diabetes Register is a population-based incidence register recording patients age 0-14.99 years at diabetes onset. Type 1 diabetes incidence in the pandemic period (April 2020-end of observation Dec 2021) was compared by Poisson regression models to the incidence patterns over the past decade 2010-2019. RESULTS: During the pandemic years 2020-2021, 956 children 0-14.99 years old manifested with type 1 diabetes in Czechia. The observed incidence (27.2/100,000/year) was significantly higher than what was expected from the trends over 2010-2019 (incidence rate ratio, IRR = 1.16, 95%CI 1.06-1.28, p = 0.0022). The incidence had a trough during the first lockdown (March-May 2020), then it rose above expected values with no usual summer decrease. The assessed pandemic indicators (school closing and all-cause excess mortality) were not associated with the incidence levels. CONCLUSIONS: The COVID-19 pandemic was associated with a notable upward inflection of the type 1 diabetes incidence curve; the early months of the first lockdown were however hallmarked by a significant dip in new diabetes diagnoses. Long-term observation will show whether the increased incidence originated only from accelerating an advanced preclinical Stage 2 to overt diabetes, or whether the pandemic triggered new cases of islet autoimmunity.
- MeSH
- COVID-19 * epidemiologie MeSH
- diabetes mellitus 1. typu * epidemiologie MeSH
- dítě MeSH
- incidence MeSH
- kojenec MeSH
- kontrola infekčních nemocí MeSH
- lidé MeSH
- mladiství MeSH
- novorozenec MeSH
- pandemie MeSH
- předškolní dítě MeSH
- Check Tag
- dítě MeSH
- kojenec MeSH
- lidé MeSH
- mladiství MeSH
- novorozenec MeSH
- předškolní dítě MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
Úvod: Diabetes je jedním z nejčastějších chronických onemocnění dětského věku. Společným úsilím dětských diabetologických center a ambulancí byl v roce 2013 založen webový longitudinální registr dětského diabetu ČENDA, který se v následujících letech etabloval jako důležitý zdroj informací o průběhu, kompenzaci, terapii a komplikacích diabetu u dětí a adolescentů. Sdělení shrnuje trendy v klíčových parametrech kompenzace diabetu za prvních 8 let trvání registru ČENDA. Výsledky: V roce 2020 registr obsahoval data od 3818 pacientů, tedy přibližně 90 % dětí s diabetem v ČR. Registr ukazuje jednoznačný trend ve snižování HbA1c na populační úrovni, průměrný HbA1c poklesl u dětí s diabetem 1. typu z 66,6 mmol/mol v roce 2013 na 54,7 mmol/mol v roce 2020 (p < 0,001). Toto snížení bylo doprovázeno snížením incidence akutních komplikací diabetu. Hlavními prediktory pro dosažení uspokojivé kontroly diabetu jsou využívání moderních technologií (inzulinových pump a kontinuálních monitorů glykemie), mužské pohlaví a sledování ve větších centrech. Závěr: Prognóza dětí s diabetem 1. typu se v ČR v posledních letech významně zlepšila. Zavádění moderních technologií do klinické praxe a založení registru ČENDA se na tomto pozitivním vývoji velmi pravděpodobně spolupodílejí.
Introduction: Diabetes belongs to the most common chronic diseases in childhood. Web-based national longitudinal pediatric diabetes registry (ČENDA) was established in 2013 by the joint efforts of Czech centers of pediatric diabetes. Since then, the ČENDA registry represents an important source of data on the course, control, therapy and complications of diabetes in children and adolescents. This paper summarizes trends in key parameters of diabetes control over the first 8 years of the ČENDA registry. Results: In 2020, the register contained data from 3818 patients, i. e. approximately 90% of children with diabetes in the Czech Republic. The registry data shows a decreasing trend in HbA1c in children with Type 1 diabetes - the mean HbA1c dropped by 12 mmol/mol from 66.6 mmol/mol in 2013 to 54.7 mmol/mol in 2020 (p < 0.001). This change was accompanied by a reduction in the incidence of acute diabetic complications. Main predictors associated with lower HbA1c were treatment using modern technologies (insulin pumps and continuous glucose monitors), male sex, and care provided at a large diabetes center. Conclusion: The prognosis of Czech children with type 1 diabetes has significantly improved in recent years. The introduction of modern technologies into clinical practice and the establishment of the ČENDA registry have very likely contributed to this positive trend.
- MeSH
- biologická terapie MeSH
- diabetes mellitus 1. typu * epidemiologie imunologie terapie MeSH
- lidé MeSH
- Check Tag
- lidé MeSH
