Socio-economic disparities in hospital care among Dutch patients with diabetes mellitus.

AIM: Socio-economic status (SES) influences diabetes onset, progression and treatment. In this study, the associations between SES and use of hospital care were assessed, focusing on hospitalizations, technology and cardiovascular complications. MATERIALS AND METHODS: This was an observational cohort study comprising 196 695 patients with diabetes (all types and ages) treated in 65 hospitals across the Netherlands from 2019 to 2020 using reimbursement data. Patients were stratified in low, middle, or high SES based on residential areas derived from four-digit zip codes. RESULTS: Children and adults with low SES were hospitalized more often than patients with middle or high SES (children: 22%, 19% and 15%, respectively; p < .001, adults: 28%, 25% and 23%; p < .001). Patients with low SES used the least technology: no technology in 48% of children with low SES versus 40% with middle SES and 38% with high SES. In children, continuous subcutaneous insulin infusion (CSII) and real-time continuous glucose monitoring (rtCGM) use was higher in high SES {CSII: odds ratio (OR) 1.54 [95% confidence interval (CI) 1.35-1.76]; p < .001; rtCGM OR 1.39 [95% CI 1.20-1.61]; p < .001} and middle SES [CSII: OR 1.41 (95% CI 1.24-1.62); p < .001; rtCGM: OR 1.27 (95% CI 1.09-1.47); p = .002] compared with low SES. Macrovascular (OR 0.78 (95% CI 0.75-0.80); p < .001) and microvascular complications [OR 0.95 (95% CI 0.93-0.98); p < .001] occurred less in high than in low SES. CONCLUSIONS: Socio-economic disparities were observed in patients with diabetes treated in Dutch hospitals, where basic health care is covered. Patients with low SES were hospitalized more often, used less technology, and adults with high SES showed fewer cardiovascular complications. These inequities warrant attention to guarantee equal outcomes for all.

Does size matter? Hospital volume and resource use in paediatric diabetes care.

AIMS: Paediatric diabetes care has become increasingly specialised due to the multidisciplinary approach and technological developments. Guidelines recommend sufficient experience of treatment teams. This study evaluates associations between hospital volume and resource use and hospital expenditure in Dutch children with diabetes. METHODS: Retrospective cohort study using hospital claims data of 5082 children treated across 44 Dutch hospitals (2019-2020). Hospitals were categorised into three categories; small (≥20-100 patients), medium (≥100-200 patients) and large (≥200 patients). All-cause hospitalisations, consultations, technology and hospital expenditure were analysed and adjusted for age, sex, socio-economic status (SES) and hospital of treatment. RESULTS: Fewer hospitalisations were observed in large hospitals compared to small hospitals (OR 0.48; [95% CI 0.32-0.72]; p < 0.001). Median number of yearly paediatrician visits was 7 in large and 6 in small hospitals, the significance of which was attenuated in multilevel analysis (OR ≥7 consultations: 1.89; [95%CI 0.74-4.83]; p = 0.18). Technology use varies between individual hospitals, whereas pump usage and real-time continuous glucose monitoring showed no significant differences between hospital volumes. Mean overall expenditure was highest in medium-sized centres with €6434 per patient (IQR €2555-7955); the difference in diabetes care costs was not significant between hospital patient volumes. CONCLUSIONS: Care provision patterns vary by hospital patient volume. Large hospitals had the lowest hospitalisation rates. The use of diabetes technology was not different between hospital patient volumes. Medium-sized hospitals showed the highest overall expenditure, but diabetes care costs were similar across hospital volumes.

Potency of quality indicators in Dutch and international diabetes registries.

BACKGROUND: Diabetes mellitus forms a slow pandemic. Cardiovascular risk and quality of diabetes care are strongly associated. Quality indicators improve diabetes management and reduce mortality and costs. Various national diabetes registries render national quality indicators. We describe diabetes care indicators for Dutch children and adults with diabetes, and compare them with indicators established by registries worldwide. METHODS: Indicator scores were derived from the Dutch Pediatric and Adult Registry of Diabetes Indicator sets of other national diabetes registries were collected and juxtaposed with global and continental initiatives for indicator sets. RESULTS: This observational cohort study included 3738 patients representative of the Dutch diabetic outpatient population. The Dutch Pediatric and Adult Registry of Diabetes harbors ten quality indicators comprising treatment volumes, HbA1c control, foot examination, insulin pump therapy, and real-time continuous glucose monitoring. Worldwide, nine national registries record quality indicators, with great variety between registries. HbA1c control is recorded most frequently, and no indicator is reported among all registries. CONCLUSIONS: Wide variety among quality indicators recorded by national diabetes registries hinders international comparison and interpretation of quality of diabetes care. The potential of quality evaluation will be greatly enhanced when diabetes care indicators are aligned in an international standard set with variation across countries taken into consideration.

Effects of COVID-19 on diabetes care among dutch diabetes outpatients.

AIMS: The COVID-19 pandemic impacted diabetes care by reducing diabetes outpatient visits and diabetes-related screening due to allocation of healthcare resources. Yet the impact of COVID-19 on diabetes outpatients has not been extensively evaluated. This study aimed to assess the effect of the COVID-19 pandemic on diagnostics and intermediate outcomes of outpatient diabetes care pre- and during COVID. METHODS: This observational cohort study included 8,442 diabetes patients in the Dutch Pediatric and Adult Registry of Diabetes (DPARD) visiting diabetes outpatient clinics in 2019 and 2021. A mixed-effects regression analysis was used to examine differences in target achievement of HbA1c, BMI, blood pressure, LDL-cholesterol, eGFR, and the difference in mean HbA1c between 2019 and 2020 among n = 1,426 outpatients who visited in both years. Analyses were adjusted for age, sex, and BMI. RESULTS: A 22.7% (21.6-23.8%, p < 0.001) decline in outpatient volume was observed during the pandemic (2020). BMI, lipid spectrum, kidney function, and HbA1c were assessed less frequently in 2020 than in 2019. In 2020, compared to 2019, the median HbA1c level increased by 2.2% (1.0 mmol/mol, p = 0.035) and the percentages of patients with known HbA1C meeting targets below 10, 8, 7% (86, 64, and 53 mmol/mol) decreased by 0.5%, 1.7% and 1.4%, respectively. Target blood pressure ≤ 130/80 mmHg was achieved more often in 2020 (15.0% versus 18.3%, p = 0.018), while HbA1c ≤ 86 mmol/mol was achieved less (89.3% versus 87.1%, p = 0.001), among diabetes outpatients seen in both 2019 and 2020. In patients visiting both years, HbA1c was 2.3% (1.9 mmol/l, 95% CI 1.2-2.5, p < 0.001) lower during the pandemic than in the prepandemic (2019). CONCLUSIONS: The COVID pandemic was associated with a marked reduction in patient volume in diabetes outpatient care among five hospitals. Among patients who received outpatient care both before and during the pandemic period, HbA1c control and blood pressure control enhanced during the pandemic. Re-evaluation of current diabetes outpatient care organization is warranted to ensure optimal diabetes care in future times.

Use of hospital care among Dutch diabetes patients.

AIM: To provide insight into healthcare resource utilization and hospital expenditure of patients treated for diabetes in Dutch hospitals. MATERIALS AND METHODS: We conducted an observational cohort study of 193 840 patients aged ≥18 years and treated for diabetes mellitus in 65 Dutch hospitals in 2019 to 2020, using real-world reimbursement data. Consultations, hospitalizations, technology use, total hospital and diabetes care costs (encompassing all care for diabetes itself) were assessed during 1-year follow-up. In addition, expenditure was compared with that in the general Dutch population. RESULTS: Total hospital costs for all patients with diabetes were €1 352 690 257 (1.35 billion) per year, and 15.9% (€214 963 703) was associated with treatment of diabetes. Mean yearly costs per patient were €6978, with diabetes care costs of €1109. Mean hospital costs of patients exceeded that of the Dutch population three- to sixfold. Total hospital costs increased with age, whereas diabetes expenditure decreased with age (18-40 years, €1575; >70 years, €932). Of all patients with diabetes, 51.3% (n = 99 457) received care related to cardiovascular complications. Micro- and macrovascular complications, or a combination, increased hospital costs (1.4-5.3 times higher). CONCLUSIONS: The hospital resource use of Dutch diabetes patients is high, with a large burden of cardiovascular complications. Resource use is rooted mainly in hospital care of diabetes-related complications, not in the treatment of diabetes. Early treatment and prevention of complications remain imperative to taper future healthcare expenditure on patients with diabetes.

Healthcare expenditure and technology use in pediatric diabetes care.

BACKGROUND: Diabetes mellitus is one of the most common chronic diseases in childhood. With more advanced care options including ever-evolving technology, allocation of resources becomes increasingly important to guarantee equal care for all. Therefore, we investigated healthcare resource utilization, hospital costs, and its determinants in Dutch children with diabetes. METHODS: We conducted a retrospective, observational analysis with hospital claims data of 5,474 children with diabetes mellitus treated in 64 hospitals across the Netherlands between 2019-2020. RESULTS: Total hospital costs were €33,002,652 per year, and most of these costs were diabetes-associated (€28,151,381; 85.3%). Mean annual diabetes costs were €5,143 per child, and treatment-related costs determined 61.8%. Diabetes technology significantly increased yearly diabetes costs compared to no technology: insulin pumps € 4,759 (28.7% of children), Real-Time Continuous Glucose Monitoring € 7,259 (2.1% of children), and the combination of these treatment modalities € 9,579 (27.3% of children). Technology use increased treatment costs significantly (5.9 - 15.3 times), but lower all-cause hospitalisation rates were observed. In all age groups, diabetes technology use influenced healthcare consumption, yet in adolescence usage decreased and consumption patterns changed. CONCLUSIONS: These findings suggest that contemporary hospital costs of children with diabetes of all ages are driven primarily by the treatment of diabetes, with technology use as an important additive factor. The expected rise in technology use in the near future underlines the importance of insight into resource use and cost-effectiveness studies to evaluate if improved outcomes balance out these short-term costs of modern technology.

Gender gaps in type 1 diabetes care.

AIMS: Diabetes mellitus is one of the largest global health concerns of recent times. Women with diabetes mellitus have a higher excess risk of all-cause mortality and more vascular events than men. Focusing on type 1 diabetes, this could be caused by gender inequalities in delivered diabetes care. This study aims to assess gender differences in type 1 diabetes outpatient care, particularly diagnostics and outcomes. METHODS: This cross-sectional cohort study included all adult type 1 diabetes patients in the Dutch Pediatric and Adult Registry of Diabetes (DPARD) visiting diabetes outpatient clinics between 2016-2021. The frequency of process measurements, including physical examination and laboratory testing, was assessed among both sexes after adjustment for age and body mass index. Gender differences in eGFR ≥ 60, BMI-, and control in blood pressure and LDL-cholesterol were evaluated. Hospital variation in achieving HbA1c targets of 53 mmol/mol and median HbA1c were assessed. Cardiovascular risk scores were calculated in men and women using the Systematic Coronary Risk Evaluation (SCORE) European low-risk chart. RESULTS: Our study showed a 17% higher odds of reaching weight control and a 23% lower odds of achieving blood pressure targets in men than women. Gender-skewed cardiovascular mortality risk scores were found. Gender disparities in outcomes appear not to be caused by gender-biased attitudes in healthcare professionals since no gender differences were found in the performance of process measurements in type 1 diabetes care. In addition, hospitals appear to vary by extent of gender differences in achieving a target HbA1c of 53 mmol/mol. CONCLUSION: Gender equality exists in the diagnostic process of diabetes care. However, differences in weight control, blood pressure control, and cardiovascular mortality risk scores remain between both sexes, most likely due to multifactorial causes. Indications for interhospital variation in gender disparities in HbA1c control exist. Further focus on performance of process measurements between hospitals may identify areas for improvement of gender-skewed outcomes to further enhance Dutch diabetes care for both sexes.

Do sex differences in paediatric type 1 diabetes care exist? A systematic review.

AIMS/HYPOTHESIS: Sex differences are present in cardiovascular care and in outcomes among adults with type 1 diabetes mellitus, which typically commences in childhood. Whether sex influences care and outcomes in childhood is not known. This systematic review provides an overview of sex differences in children with type 1 diabetes, focusing on patient and disease characteristics, treatment, comorbidities and complications. METHODS: Literature in MEDLINE up to 15 June 2021 was searched, using the terms diabetes mellitus, sex characteristics, sex distribution, children and/or adolescents. All primary outcome studies on children with type 1 diabetes that mentioned a sex difference in outcome were included, with the exception of qualitative studies, case reports or case series. Studies not pertaining to the regular clinical care process and on incidence or prevalence only were excluded. Articles reporting sex differences were identified and assessed on quality and risk of bias using Joanna Briggs Institute critical appraisal tools. Narrative synthesis and an adapted Harvest plot were used to summarise evidence by category. RESULTS: A total of 8640 articles were identified, rendering 90 studies for review (n=643,217 individuals). Studies were of observational design and comprised cohort, cross-sectional and case-control studies. Most of the included studies showed a higher HbA1c in young female children both at diagnosis (seven studies, n=22,089) and during treatment (20 out of 21 studies, n=144,613), as well as a steeper HbA1c increase over time. Many studies observed a higher BMI (all ages, ten studies, n=89,700; adolescence, seven studies, n=33,153), a higher prevalence of being overweight or obese, and a higher prevalence of dyslipidaemia among the female sex. Hypoglycaemia and partial remission occurred more often in male participants, and ketoacidosis (at diagnosis, eight studies, n=3561) and hospitalisation was more often seen in female participants. Most of the findings showed that female participants used pump therapy more frequently (six studies, n=211,324) and needed higher insulin doses than male participants. Several comorbidities, such as thyroid disease and coeliac disease, appeared to be more common in female participants. All studies reported lower quality of life in female participants (15 studies, n=8722). Because the aim of this study was to identify sex differences, studies with neutral outcomes or minor differences may have been under-targeted. The observational designs of the included studies also limit conclusions on the causality between sex and clinical outcomes. CONCLUSIONS/INTERPRETATION: Sex disparities were observed throughout diabetes care in children with type 1 diabetes. Several outcomes appear worse in young female children, especially during adolescence. Focus on the cause and treatment of these differences may provide opportunities for better outcomes. REGISTRATION: This systematic review is registered in PROSPERO (CRD42020213640).

DPARD: rationale, design and initial results from the Dutch national diabetes registry.

BACKGROUND: Treatment of diabetes mellitus has majorly improved over the past century, however, the disease burden is high and its prevalence still expanding. Further insight in the diabetes population is imperative to improve the quality of diabetes care by enhancement of knowledge-based diabetes management strategies. To this end, in 2017 a Dutch nationwide consortium of diabetologists, paediatric endocrinologists, and diabetes patients has founded a national outpatient diabetes care registry named Dutch Pediatric and Adult Registry of Diabetes (DPARD). We aim to describe the implementation of DPARD and to provide an overview of the characteristics of patients included during the first 2 years. METHODS: For the DPARD cohort with long-term follow-up of observational nature, hospital data are gathered directly from electronic health records and securely transferred and stored. DPARD provides weekly updated clinical information on the diabetes population care on a hospital-level benchmarked against the national average. RESULTS: Between November 2017 and January 2020, 20,857 patients were included from 8 (11%) Dutch hospitals with a level of care distribution representative of all diabetic outpatients in the Netherlands. Among patients with known diabetes type, 41% had type 1 diabetes, 51% type 2 diabetes, and 8% had diabetes due to other causes. Characteristics of the total patient population were similar to patients with unknown diabetes classification. HbA1c levels decreased over the years, while BMI levels showed an increase over time. CONCLUSIONS: The national DPARD registry aims to facilitate investigation of prevalence and long-term outcomes of Dutch outpatients with diabetes mellitus and their treatment, thus allowing for quality improvement of diabetes care as well as allowing for comparison of diabetes care on an international level.

National diabetes registries: do they make a difference?

AIMS: The global epidemic of diabetes mellitus continues to expand, including its large impact on national health care. Measuring diabetes outcomes and their causes of variation highlights areas for improvement in care and efficiency gains; large registries carry this potential. By means of a systematic review, we aimed to give an overview of national registries worldwide by quantifying their data and assessing their influence on diabetes care. METHODS: The literature on MEDLINE up to March 31, 2020, was searched, using keywords diabetes mellitus, national, registry, registration, and/or database. National disease-specific registries from corresponding articles were included. Database characteristics and clinical variables were obtained. All registries were compared to the ICHOM standard set of outcomes. RESULTS: We identified 12 national clinical diabetes registries, comprising a total of 7,181,356 diabetic patients worldwide. Nearly all registries recorded weight, HbA1c, lipid profile, and insulin treatment; the recording of other variables varied to a great extent. Overall, registries corresponded fairly well with the ICHOM set. Most registries proved to monitor and improve the quality of diabetes care using guidelines as a benchmark. The effects on national healthcare policy were more variable and often less clear. CONCLUSIONS: National diabetes registries confer clear insights into diagnostics, complications, and treatment. The extent to which registries influenced national healthcare policy was less clear. A globally implemented standard outcome set has the potential to improve concordance between national registries, enhance the comparison and exchange of diabetes outcomes, and allocate resources and interventions where most needed.

Chance of surgery in adult congenital heart disease.

Background Young patients with congenital heart disease reaching adulthood face mandatory transition to adult cardiology. Their new cardiologist needs to assess the chances of major future events such as surgery. Using a large national registry, we assessed if patient characteristics at the age of 18 years could predict the chance of congenital heart surgery in adulthood. Design and methods Of 10,300 patients from the CONCOR national registry, we used general patient characteristics at age 18 years, underlying congenital heart defect, history of complications, and interventions in childhood as potential predictors of congenital heart surgery occurring from age 18 years up to age 40 and 60 years. Cox regression was used to calculate hazard ratios with 95% confidence intervals. Analyses were performed separately for all congenital heart surgery and for valvular surgery alone. Results Altogether 2427 patients underwent congenital heart surgery after age 18 years, 1389 of whom underwent valvular surgery. Underlying heart defect, male sex, multiple defects, childhood endocarditis, supraventricular arrhythmia, aortic complications and paediatric cardiovascular surgery, independently predicted adult congenital heart surgery. The mean chance of congenital heart surgery was 22% up to age 40 and 43% up to age 60 years; individual chances spanned from 9-68% up to age 40 and from 19-93% up to age 60 years. Conclusion At the time of transition from paediatric to adult cardiology, an easily obtainable set of characteristics of patients with congenital heart disease can meaningfully inform cardiologists about the patient's individual chance of surgery in adulthood. Our findings warrant validation in other cohorts.

Social burden and lifestyle in adults with congenital heart disease.

We aimed to evaluate how the presence and severity of congenital heart disease (CHD) influence social life and lifestyle in adult patients. A random sample (n = 1,496) from the CONgenital CORvitia (n = 11,047), the Dutch national registry of adult patients with CHD, completed a questionnaire on educational attainment, employment and marital statuses, and lifestyle (response 76%). The Utrecht Health Project provided a large reference group (n = 6,810) of unaffected subjects. Logistic regression models were used for subgroup analyses and to adjust for age, gender, and socioeconomic status where appropriate. Of all patients 51.5% were men (median age 39 years, interquartile range 29 to 51) with mild (46%), moderate (44%), and severe (10%) CHD. Young (<40-year-old) patients with CHD were more likely to have achieved a lower education (adjusted odds ratios [ORs] 1.6 for men and 1.9 for women, p <0.05 for the 2 comparisons), significantly more often unemployed (adjusted ORs 5.9 and 2.0 for men and women, respectively), and less likely to be in a relationship compared to the reference group (adjusted ORs 8.5 for men and 4.5 for women). These poorer outcomes were seen in all severity groups. Overall, the CHD population smoked less (adjusted OR 0.5, p <0.05), had more sports participation (adjusted OR 1.2, p <0.05), and had less obesity (adjusted OR 0.7, p <0.05) than the reference group. In conclusion, there was a substantial social disadvantage in adult patients with CHD, which was seen in all severity groups and primarily in young men. In contrast, adults with CHD had healthier lifestyles compared to the reference group.

Turning 18 with congenital heart disease: prediction of infective endocarditis based on a large population.

AIMS: The risk of infective endocarditis (IE) in adults with congenital heart disease is known to be increased, yet empirical risk estimates are lacking. We sought to predict the occurrence of IE in patients with congenital heart disease at the transition from childhood into adulthood. METHODS AND RESULTS: We identified patients from the CONCOR national registry for adults with congenital heart disease. Potential predictors included patient characteristics, and complications and interventions in childhood. The outcome measure was the occurrence of IE up to the age of 40 and 60. A prediction model was derived using the Cox proportional hazards model and bootstrapping techniques. The model was transformed into a clinically applicable risk score. Of 10 210 patients, 233 (2.3%) developed adult-onset IE during 220 688 patient-years. Predictors of IE were gender, main congenital heart defect, multiple heart defects, and three types of complications in childhood. Up to the age of 40, patients with a low predicted risk (<3%) had an observed incidence of less than 1%; those with a high predicted risk (≥3%) had an observed incidence of 6%. The model also yielded accurate predictions up to the age of 60. CONCLUSION: Among young adult patients with congenital heart disease, the use of six simple clinical parameters can accurately predict patients at relatively low or high risk of IE. After confirmation in other cohorts, application of the prediction model may lead to individually tailored medical surveillance and educational counselling, thus averting IE or enabling timely detection in adult patients with congenital heart disease.

Mortality in adult congenital heart disease: are national registries reliable for cause of death?

BACKGROUND: Statistics on cause-specific mortality are important for prognostic research. The aim of this study was to assess the utility of the national mortality registry in research on causes of death in adult patients with congenital heart disease (CHD). METHODS: The CONCOR registry of over 10,000 adults with CHD was used to verify the causes of death provided by the WHO guidelines based national mortality registry, by linkage. RESULTS: Of 7277 patients linked to the national mortality registry, 196 (2.4%) were recorded deceased, versus 228 deceased patients (3.1%) recorded in the CONCOR registry, during a follow-up of 25,900 patient years. Median age at death was 48.9 years. Of all deaths in the CONCOR registry, 77% had a cardiovascular origin; nearly 50% were due to progressive heart failure and arrhythmias. The national mortality registry recorded death due to progressive heart failure and arrhythmias in only 8.5%. Moreover, this registry recorded death with an 'unspecified' cause in approximately 30%, primarily containing patients who died due to progressive heart failure and arrhythmias according to their medical records. CONCLUSION: WHO guidelines based national mortality registries lack the specificity and completeness needed for accurate research on causes of death in adult patients with CHD.

The emerging burden of hospital admissions of adults with congenital heart disease.

OBJECTIVE: To assess the extent and the characteristics of hospital admissions in registered adult patients with congenital heart disease. DESIGN: Observational cohort study. SETTING: The Netherlands. PATIENTS: 5798 adult patients with congenital heart disease from the Dutch CONCOR national registry linked to the Dutch National Medical Registration (Prismant). MAIN OUTCOME MEASURES: All hospital admissions from the years 2001 up until 2006. RESULTS: During 28 990 patient-years, 2908 patients (50%) were admitted to hospital. Median age at admission was 39 years (range 18-86 years); 46% were male. Admission rate in CONCOR patients was high among all ages (range 11-68%) and exceeded that of the general Dutch population two to three times; this difference was most pronounced in the older age groups. Altogether there were 8916 admissions, 5411 (61%) of which were for cardiovascular indications. Among cardiovascular admissions, referrals for arrhythmias were most common (31%). Of 4926 interventions, 2459 (50%) were cardiovascular, most often reparative interventions or cardioversion (53%). Most non-cardiovascular admissions were obstetric. Among defects, univentricular heart and tricuspid atresia had the highest incidence and duration of admission. CONCLUSIONS: Healthcare utilisation in registered and medically supervised adult patients with congenital heart disease is high and increases with age. Admission rates are at least two times higher than in the general population, and most marked in the older age groups. With the ageing of this population, a major increase in healthcare utilisation is imminent in the near future. Timely preparation of healthcare resources is crucial to sustain optimal care.

Mortality in adult congenital heart disease.

AIMS: Mortality in adults with congenital heart disease is known to be increased, yet its extent and the major mortality risks are unclear. METHODS AND RESULTS: The Dutch CONCOR national registry for adult congenital heart disease was linked to the national mortality registry. Cox's regression was used to assess mortality predictors. Of 6933 patients, 197 (2.8%) died during a follow-up of 24 865 patient-years. Compared with the general national population, there was excess mortality, particularly in the young. Median age at death was 48.8 years. Of all deaths, 77% had a cardiovascular origin; 45% were due to chronic heart failure (26%, age 51.0 years) or sudden death (19%, age 39.1 years). Age predicted mortality, as did gender, severity of defect, number of interventions, and number of complications [hazard ratio (HR) range 1.1-5.9, P < 0.05]. Several complications predicted all-cause mortality beyond the effects of age, gender, and congenital heart disease severity, i.e. endocarditis, supraventricular arrhythmias, ventricular arrhythmias, conduction disturbances, myocardial infarction, and pulmonary hypertension (HR range 1.4-3.1, P < 0.05). These risks were similar in patients above and below 40 years of age. Almost all complications predicted death due to heart failure (HR range 2.0-5.1, P < 0.05); conduction disturbances and pulmonary hypertension predicted sudden death (HR range 2.0-4.7, P < 0.05). CONCLUSION: Mortality is increased in adults with congenital heart disease, particularly in the young. The vast majority die from cardiovascular causes. Mortality risk, particularly by heart failure, is increased by virtually all complications. Complications are equally hazardous in younger as in older patients.

Long-term prognosis of congenital heart defects: a systematic review.

BACKGROUND: In the large and expanding population of adults with congenital heart disease, little is known about their long-term outcome. By means of a systematic literature search, we aimed to assess the quantity and quality of data on long-term survival and morbidity in adults with common congenital heart defects. METHODS: All literature on MEDLINE from January 1980 to January 2007 was searched, using a broad range of keywords for atrial septal defect, ventricular septal defect, pulmonary stenosis, tetralogy of Fallot, aortic coarctation, and transposition of the great arteries. After study selection using pre-specified criteria and quality assessment, data were extracted and weighed according to number of patients. Pooled estimates were obtained. RESULTS: We identified 322 articles. Selection yielded 35 articles comprising 7894 patients. Data on survival were mainly available up until 40 years of age. In this young population, survival varied from 87.4% in aortic coarctation to 99.6% in atrial septal defect. Data on morbidity were sparse. Based on these data, morbidity was substantial. CONCLUSIONS: Until the age of 40 years, survival is decreased in patients with congenital heart defects, albeit most pronounced among patients with complex heart defects. Moreover, morbidity is considerable in all defects. Sufficient data on long-term survival and morbidity beyond the age of 40 years are lacking, yet crucial for optimal clinical care.

Gender and outcome in adult congenital heart disease.

BACKGROUND: Gender differences in prognosis have frequently been reported in cardiovascular disease but less so in congenital heart disease. We investigated whether gender is associated with outcome in adult patients with congenital heart disease. METHODS AND RESULTS: From the CONgenital CORvitia (CONCOR) national registry for adults with congenital heart disease, 7414 patients were identified. All outcomes before entry into the registry and during subsequent follow-up were recorded, and differences between men and women were analyzed with the underlying congenital heart defect taken into account. Median age at the end of follow-up was 35 years (range, 17 to 91 years); 49.8% were female. No gender difference in mortality was found. Women had a 33% higher risk of pulmonary hypertension (odds ratio [OR]=1.33; 95% CI, 1.07 to 1.65; P=0.01), a 33% lower risk of aortic outcomes (OR=0.67; 95% CI, 0.50 to 0.90; P=0.007), a 47% lower risk of endocarditis (OR=0.53; 95% CI, 0.40 to 0.70; P<0.001), and a 55% lower risk of an implantable cardioverter-defibrillator (OR=0.45; 95% CI, 0.26 to 0.80; P=0.006). Furthermore, the risk of arrhythmias appeared to be lower in women (OR=0.88; 95% CI, 0.77 to 1.02; P=0.08). CONCLUSIONS: The risk of several major cardiac outcomes in adult patients with congenital heart disease appears to vary by gender.