Investigation on Sudden Unexpected Death in the Young (SUDY) in Europe: results of the European Heart Rhythm Association Survey.

The aims of this centre-based survey, promoted and disseminated by the European Heart Rhythm Association (EHRA) was to investigate the current practice for the investigation of Sudden Unexplained Death in the Young (SUDY) amongst European countries. An online questionnaire composed of 21 questions was submitted to the EHRA Research Network, European Cardiac Arrhythmia Genetics (ECGen) Focus Group members, and European Reference Network GUARD-Heart healthcare partners. There were 81 respondents from 24 European countries. The majority (78%) worked in a dedicated clinic focusing on families with inherited cardiac conditions and/or SUDY or had easy access to a nearby one. On average, an autopsy was performed in 43% of SUDY cases. Macroscopic examination of the body and all organs were completed in 71% of cases undergoing autopsy, and expert cardiac examination in 32%. Post-mortem genetic testing was requested on average in 37% of Sudden Arrhythmic Death Syndrome (SADS) cases, but not at all by 20% of survey respondents. Psychological support and bereavement counselling for SADS/SUDY families were available for ≤50% of participants. Whilst electrocardiogram (ECG) and echocardiography were largely employed to investigate SADS relatives, there was an inconsistent approach to the use of provocative testing with exercise ECG, sodium channel blocking drugs, and/or epinephrine and genetic testing. The survey highlighted a significant heterogeneity of service provision and variable adherence to current recommendations for the investigation of SUDY, partly attributable to the availability of dedicated units and specialist tests, genetic evaluation, and post-mortem examination.

Modelling Health State Utilities as a Transformation of Time to Death in Patients with Non-Small Cell Lung Cancer.

BACKGROUND: When utilities are analyzed by time to death (TTD), this has historically been implemented by 'grouping' observations as discrete time periods to create health state utilities. We extended the approach to use continuous functions, avoiding assumptions around groupings. The resulting models were used to test the concept with data from different regions and different country tariffs. METHODS: Five-year follow-up in advanced non-small cell lung cancer (NSCLC) was used to fit six continuous TTD models using generalized estimating equations, which were compared with progression-based utilities and previously published TTD groupings. Sensitivity analyses were performed using only patients with a confirmed death, the last year of life only, and artificially censoring data at 24 months. The statistically best-fitting model was then applied to data subsets by region and different EQ-5D-3L country tariffs. RESULTS: Continuous (natural) [Formula: see text] and [Formula: see text] models outperformed other continuous models, grouped TTD, and progression-based models in statistical fit (mean absolute error and Quasi Information Criterion). This held through sensitivity and scenario analyses. The pattern of reduced utility as a patient approaches death was consistent across regions and EQ-5D tariffs using the preferred [Formula: see text] model. CONCLUSIONS: The use of continuous models provides a statistically better fit than TTD groupings, without the need for strong assumptions about the health states experienced by patients. Where a TTD approach is merited for use in modelling, continuous functions should be considered, with the scope for further improvements in statistical fit by both widening the number of candidate models tested and the therapeutic areas investigated.