Specialized multidisciplinary care improves ALS survival in Belgium: a population-based retrospective study.

ALS is a neurodegenerative disease characterized by loss of motor neurons, resulting in progressive weakness and wasting of muscles. The average survival time is 2-5 years, mostly due to respiratory failure. Since current therapies can prolong survival time by only a few months, multidisciplinary care remains the cornerstone of the management of ALS. At the ALS Expert Centre of University Hospitals Leuven, a large proportion of Belgian ALS patients are seen for diagnosis and a significant number is also in follow-up with the multidisciplinary team. In this retrospective study, we compared the outcome of incident patients who were in follow-up at our site with patients who were not in follow-up. We included 659 patients of which 557 (84.5%) received specialized care at the ALS Expert Centre. After adjusting for clinically relevant prognostic parameters, multidisciplinary follow-up significantly prolonged survival (p = 0.004; HR = 0.683; CI 95% [0.528 - 0.884]). This increase in survival is mainly driven by patients with spinal onset (p = 0.035; HR = 0.746; CI 95% [0.568 - 0.980]), since no significant increased survival time was observed in patients with bulbar onset (p = 0.28; HR = 0.778; CI 95% [0.495 - 1.223]). These data confirm that multidisciplinary follow-up contributes to a better outcome of patients, emphasizing the importance of multidisciplinary specialized care in ALS.

Prognostic value of motor and extramotor involvement in ALS.

OBJECTIVE: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder resulting in upper and lower motor neuron loss. ALS often has a focal onset of weakness, which subsequently spreads to other body regions. Survival is limited to two to five years after disease onset, often due to respiratory failure. Cognitive impairment is present in approximately 30% to 50% of patients and in 10%-15% of patients, the clinical criteria of frontotemporal dementia (FTD) are met. METHODS: In this retrospective single-center ALS cohort study, we examined the occurrence of cognitive and behavioral impairment in relation to motor impairment at disease presentation and studied its impact on survival. RESULTS: The degree of lower motor neuron involvement was associated with a worse survival, but there was no effect for upper motor neuron involvement. Patients who were cognitively normal had a significantly better survival compared to patients with cognitive or behavioral impairment and to patients with comorbid FTD. There was no significant difference regarding survival between patients with FTD and patients with cognitive or behavioral impairment. CONCLUSIONS: The extent of motor and extramotor involvement in patients with ALS at disease presentation holds complementary prognostic information.

Differences in Cerebral Glucose Metabolism in ALS Patients with and without C9orf72 and SOD1 Mutations.

Amyotrophic lateral sclerosis (ALS) is characterized by progressive loss of upper and lower motor neurons. In 10% of patients, the disorder runs in the family. Our aim was to study the impact of ALS-causing gene mutations on cerebral glucose metabolism. Between October 2010 and October 2022, 538 patients underwent genetic testing for mutations with strong evidence of causality for ALS and 18F-2-fluoro-2-deoxy-D-glucose-PET (FDG PET), at University Hospitals Leuven. We identified 48 C9orf72-ALS and 22 SOD1-ALS patients. After propensity score matching, two cohorts of 48 and 21 matched sporadic ALS patients, as well as 20 healthy controls were included. FDG PET images were assessed using a voxel-based and volume-of-interest approach. We observed widespread frontotemporal involvement in all ALS groups, in comparison to healthy controls. The degree of relative glucose metabolism in SOD1-ALS in motor and extra-motor regions did not differ significantly from matched sporadic ALS patients. In C9orf72-ALS, we found more pronounced hypometabolism in the peri-rolandic region and thalamus, and hypermetabolism in the medulla extending to the pons, in comparison to matched sporadic ALS patients. Our study revealed C9orf72-dependent differences in glucose metabolism in the peri-rolandic region, thalamus, and brainstem (i.e., medulla, extending to the pons) in relation to matched sporadic ALS patients.

Last year of life of adults with congenital heart diseases: causes of death and patterns of care.

AIMS: Although life expectancy in adults with congenital heart diseases (CHD) has increased dramatically over the past five decades, still a substantial number of patients dies prematurely. To gain understanding in the trajectories of dying in adults with CHD, the last year of life warrants further investigation. Therefore, our study aimed to (i) define the causes of death and (ii) describe the patterns of healthcare utilization in the last year of life of adults with CHD. METHODS AND RESULTS: This retrospective mortality follow-back study used healthcare claims and clinical data from BELCODAC, which includes patients with CHD from Belgium. Healthcare utilization comprises cardiovascular procedures, CHD physician contacts, general practitioner visits, hospitalizations, emergency department (ED) visits, intensive care unit (ICU) admissions, and specialist palliative care, and was identified using nomenclature codes. Of the 390 included patients, almost half of the study population (45%) died from a cardiovascular cause. In the last year of life, 87% of patients were hospitalized, 78% of patients had an ED visit, and 19% of patients had an ICU admission. Specialist palliative care was provided to 17% of patients, and to only 4% when looking at the patients with cardiovascular causes of death. CONCLUSIONS: There is a high use of intensive and potentially avoidable care at the end of life. This may imply that end-of-life care provision can be improved. Future studies should further examine end-of-life care provision in the light of patient's needs and preferences, and how the healthcare system can adequately respond.

Influenza Vaccination in Patients With Congenital Heart Disease in the Pre-COVID-19 Era: Coverage Rate, Patient Characteristics, and Outcomes.

BACKGROUND: Influenza vaccination is the most commonly recommended immune prevention strategy. However, data on influenza vaccination in patients with congenital heart disease (CHD) are scarce. In this study, our goals were to: (1) measure vaccination coverage rates (VCRs) for influenza in a large cohort of children, adolescents, and adults with CHD; (2) identify patient characteristics as predictors for vaccination; and (3) investigate the effect of influenza vaccination on hospitalization. METHODS: A nationwide cohort study in Belgium included 16,778 patients, representing 134,782 vaccination years, from the Belgian Congenital Heart Disease Database Combining Administrative and Clinical Data (BELCODAC). Data over 9 vaccination years (2006-2015) were used, and patients were stratified into 5 age cohorts: 6 months to 4 years; 5-17 years; 18-49 years; 50-64 years; and 65 years and older. RESULTS: In the respective age cohorts, the VCR was estimated to be 6.6%, 8.0%, 23.9%, 46.6%, and 72.8%. There was a steep increase in VCRs as of the age of 40 years. Multivariable logistic regression showed that higher anatomical complexity of CHD, older age, presence of genetic syndromes, and previous cardiac interventions were associated with significantly higher VCRs. Among adults, men had lower and pregnant women had higher VCRs. The association between influenza vaccination and all-cause hospitalization was not significant in this study. CONCLUSIONS: The influenza VCR in people with CHD is low, especially in children and adolescents. Older patients, particularly those with complex CHD, are well covered. Our findings should inform vaccination promotion strategies in populations with CHD.

Different levels of care for follow-up of adults with congenital heart disease: a cost analysis scrutinizing the impact on medical costs, hospitalizations, and emergency department visits.

AIM: To scrutinize the economic impact of different care levels, such as shared care, in the follow-up of adult congenital heart disease (ACHD) patients. METHODS: The BELgian COngenital heart disease Database combining Administrative and Clinical data (BELCODAC) was analyzed. Patients (N = 6579) were categorized into five care levels based on their cardiac follow-up pattern between 2006 and 2010. Medical costs, hospitalizations, and emergency department visits were measured between 2011 and 2015. RESULTS: In patients with moderate lesions, highly specialized cardiac care (HSC; exclusive follow-up by ACHD specialists) and shared care with predominantly specialized cardiac care (SC+) were associated with significantly lower medical costs and resource use compared to shared care with predominantly general cardiac care (SC-) and general cardiac care (GCC). In the patient population with mild lesions, HSC was associated with better economic outcomes than SC- and GCC, but SC+ was not. HSC was associated with fewer hospitalizations (- 33%) and less pharmaceutical costs (- 46.3%) compared to SC+. Patients with mild and moderate lesions in the no cardiac care (NCC) group had better economic outcomes than those in the GCC and SC- groups, but post-hoc analysis revealed that they had a different patient profile than patients under cardiac care. CONCLUSION: More specialized care levels are associated with better economic outcomes in patients with mild or moderate lesions in cardiac follow-up. Shared care with strong involvement of ACHD specialists might be a management option to consider. Characteristics of patients without cardiac follow-up but good medium-term economic prospects should be further scrutinized.

Physical Functioning, Mental Health, and Quality of Life in Different Congenital Heart Defects: Comparative Analysis in 3538 Patients From 15 Countries.

BACKGROUND: We compared physical functioning, mental health, and quality of life (QoL) of patients with different subtypes of congenital heart disease (CHD) in a large international sample and investigated the role of functional class in explaining the variance in outcomes across heart defects. METHODS: In the cross-sectional Assessment of Patterns of Patient-Reported Outcome in Adults with Congenital Heart Disease-International Study (APPROACH-IS), we enrolled 4028 adult patients with CHD from 15 countries. Diagnostic groups with at least 50 patients were included in these analyses, yielding a sample of 3538 patients (median age: 32 years; 52% women). Physical functioning, mental health, and QoL were measured with the SF-12 health status survey, Hospital Anxiety and Depression Scale (HADS), linear analog scale (LAS) and Satisfaction with Life Scale, respectively. Functional class was assessed using the patient-reported New York Heart Association (NYHA) class. Multivariable general linear mixed models were applied to assess the relationship between the type of CHD and patient-reported outcomes, adjusted for patient characteristics, and with country as random effect. RESULTS: Patients with coarctation of the aorta and those with isolated aortic valve disease reported the best physical functioning, mental health, and QoL. Patients with cyanotic heart disease or Eisenmenger syndrome had worst outcomes. The differences were statistically significant, above and beyond other patient characteristics. However, the explained variances were small (0.6% to 4.1%) and decreased further when functional status was added to the models (0.4% to 0.9%). CONCLUSIONS: Some types of CHD predict worse patient-reported outcomes. However, it appears that it is the functional status associated with the heart defect rather than the heart defect itself that shapes the outcomes.

Creating the BELgian COngenital heart disease database combining administrative and clinical data (BELCODAC): Rationale, design and methodology.

BACKGROUND: Congenital heart disease (CHD) entails a broad spectrum of malformations with various degrees of severity and prognosis. Consequently, new and specific healthcare needs are emerging, requiring responsive healthcare provision. Research on this matter is predominantly performed on population-based databases, to inform clinicians, researchers and policy-makers on health outcomes and economic burden of CHD. Most databases contain data either from administrative sources or from clinical systems. We describe the methodological design of the BELgian COngenital Heart Disease Database combining Administrative and Clinical data (BELCODAC), to investigate patients with CHD. METHODS: Data on clinical characteristics from three university hospitals in Belgium (Leuven, Ghent and Brussels) were merged with mortality and socio-economic data from the official Belgian statistical office (StatBel), and with healthcare use data from the InterMutualistic Agency, an overarching national organization that collects data from the seven sickness funds for all Belgian citizens. Over 60 variables with multiple entries over time are included in the database. RESULTS: BELCODAC contains data on 18,510 patients, of which 8926 patients (48%) have a mild, 7490 (41%) a moderately complex and 2094 (11%) a complex anatomical heart defect. The most prevalent diagnosis is Ventricular Septal Defect in 3879 patients (21%), followed by Atrial Septal Defect in 2565 patients (14%). CONCLUSIONS: BELCODAC comprises longitudinal data on patients with CHD in Belgium. This will help build evidence-based provision of care to the changing CHD population.

Newly Developed Adult Congenital Heart Disease Anatomic and Physiological Classification: First Predictive Validity Evaluation.

Background Risk stratification for adults with congenital heart disease is usually based on the anatomic complexity of the patients' defect. The 2018 American Heart Association/American College of Cardiology guidelines for the management of adults with congenital heart disease proposed a new classification scheme, combining anatomic complexity and current physiological stage of the patient. We aimed to investigate the capacity of the Adult Congenital Heart Disease Anatomic and Physiological classification to predict 15-year mortality. Methods and Results Data on 5 classification systems were collected for 629 patients at the outpatient clinic for a previous study. After 15 years, data on mortality were obtained through medical record review. For this assessment, we additionally collected information on physiological state to determine the Adult Congenital Heart Disease Anatomic and Physiological classification. Harrell's concordance statistics index, obtained through a univariate Cox proportional hazards regression, was 0.71 (95% CI, 0.63-0.78) for the Adult Congenital Heart Disease Anatomic and Physiological classification. Harrell's concordance statistics index of the congenital heart disease anatomic component only was 0.67 (95% CI, 0.60-0.74). The highest Harrell's concordance statistics index was obtained for the anatomic complexity in combination with the Congenital Heart Disease Functional Index (0.79; 95% CI, 0.73-0.84). Conclusions This first investigation of the Adult Congenital Heart Disease Anatomic and Physiological classification system provides empirical support for adding the physiological component to the anatomic complexity in the prediction of 15-year cardiac mortality.

Predicting 15-Year Mortality in Adults With Congenital Heart Disease Using Disease Severity and Functional Indices.

BACKGROUND: Disease severity and functional indices are widely used for risk stratification of patients with congenital heart disease (CHD). The predictive value of these classification systems for assessing long-term mortality is unknown. We aimed to determine and compare the predictive value of disease severity and functional indices for 15-year mortality in adults with CHD. METHODS: Between 2000 and 2002, we categorized 629 patients with CHD (median age, 24 years; 60% were men) on 5 indices: disease complexity scores based on criteria of Task Force 1 of the 32nd Bethesda Conference; Disease Severity Index; New York Heart Association functional class; Ability Index; and Congenital Heart Disease Functional Index (CHDFI). Harrell's concordance statistics index (C-index) was calculated for each classification system through Cox hazard regression analysis to evaluate their performance on predicting all-cause and cardiac mortality over the subsequent 15 years. RESULTS: Over the 15-year follow-up period, 40 patients died, resulting in a mortality rate of 4.56 per 1000 person-years. The CHDFI showed the highest discrimination ability for all-cause mortality (C-index = 0.74; P < 0.001) and cardiac mortality (C-index = 0.76; P < 0.001). The C-index for the other classifications ranged from 0.58 to 0.71 for all-cause mortality and 0.55 to 0.67 for cardiac mortality. The CHDFI showed statistical superiority toward the Disease Severity Index (P < 0.01). CONCLUSIONS: These results suggest that the Task Force 1 of the 32nd Bethesda Conference, New York Heart Association functional class, Ability Index, and CHDFI could aid in predicting long-term mortality. The CHDFI demonstrated the highest discrimination ability and emphasizes the importance to integrate both anatomic and physiological variables to predict long-term mortality.

Evaluation of hyperacute infarct volume using ASPECTS and brain CT perfusion core volume.

OBJECTIVE: To compare the accuracy of Alberta Stroke Program Early Computed Tomography Score (ASPECTS) and CT perfusion to detect established infarction in acute anterior circulation stroke. METHODS: We performed an observational study in 59 acute anterior circulation ischemic stroke patients who underwent brain noncontrast CT, CT perfusion, and MRI within 100 minutes from CT imaging. ASPECTS scores were calculated by 4 blinded vascular neurologists. The accuracy of ASPECTS and CT perfusion core volume to detect an acute MRI diffusion lesion of ≥70 mL was evaluated using receiver operating characteristics analysis and optimum cutoff values were calculated using Youden J. RESULTS: Median ASPECTS score was 8 (interquartile range [IQR] 5-9). Median CT perfusion core volume was 22 mL (IQR 10.4-71.9). Median MRI diffusion lesion volume was 24.5 mL (IQR 10-63.9). No significant difference was found between the accuracy of CT perfusion and ASPECTS (c statistic 0.95 vs 0.87, p value for difference = 0.17). The optimum ASPECTS cutoff score to detect a diffusion-weighted imaging lesion ≥70 mL was <7 (sensitivity 0.74, specificity 0.86, Youden J = 0.60) and the optimum CT perfusion core volume cutoff was ≥50 mL (sensitivity 0.86, specificity 0.97, Youden J = 0.84). The CT perfusion core lesion covered a median of 100% (IQR 86%-100%) of the acute MRI lesion volume (Pearson R = 0.88; R2 = 0.77). CONCLUSIONS: We found no significant difference between the accuracy of CT perfusion and ASPECTS to predict hyperacute MRI lesion volume in ischemic stroke.