ABSTRACT
The aim of the study was to provide accurate information regarding live-born infant survival after diagnosis of fatal fetal anomaly (FFA) to aid decision-making in respect of pregnancy management, and to ascertain the natural history of live-born infants with FFAs via a retrospective analysis of death records (2006-2018), from the National Paediatric Mortality Registry (source Central Statistics Office 2019). Diagnoses and survival times were ascertained from narrative records with further ascertainment and reconciliation of trisomies 13 and 18 cases by review of cytogenetic test records, the National Death Events Register and National Perinatal Epidemiology Centre data. During the study period, termination of pregnancy was not permitted under the Irish Constitution. Patients are live-born babies with fatal fetal anomalies whose deaths were registered in the Republic of Ireland. The main outcome measure was construction of anomaly-specific survival curves, or survival time range and median for those anomalies with rare occurrence. Survival curves for anencephaly, bilateral renal agenesis, thanatophoric dysplasia, trisomy 13, and trisomy 18 show that 90% (n = 95), 93% (n = 60), 100% (n = 14), 37% (n = 92) and 33% (n = 162), respectively, were deceased by 24 h and 98%, 100%, 100%, 73%, and 53%, respectively, by 1 week post-delivery. Survival time range and median were calculated for triploidy (3.5 h-20 days; 10.5 days), whose occurrence was rare. Anhydramnios, craniorachischisis, hydranencephaly and severe hydrocephalus were extremely rare and all deaths were neonatal deaths. Our results provide 13 years of national natural history data of live birth FFA survival. This provides objective information to aid obstetric counselling of couples upon diagnosis of an FFA.
ABSTRACT
AIMS: To ascertain the number of paediatric deaths (0-14 years) with an underlying rare disease in the Republic of Ireland between the years 2006-2016, and to analyse bed usage by a paediatric cohort of rare disease inpatients prior to in-hospital death. BACKGROUND: Rare diseases are often chronically debilitating and sometimes life-threatening diseases, with the majority (69.9%) of rare diseases being of paediatric onset. The Orphanet database contains information on 6172 unique rare diseases. Under-representation of rare diseases in hospital healthcare coding systems leads to a paucity of rare disease epidemiological data required for healthcare planning. Studies have cited variable incidence rates for rare disease, however the burden of rare diseases to healthcare services still remains unclear. This study represents a thorough effort to identify the percentage of child mortality and paediatric bed usage attributable to rare diseases in the Republic of Ireland, thus addressing a major gap in the rare disease field. METHODS: Retrospective analysis of paediatric death registration details for the Republic of Ireland in the 11-year period 2006-2016 from the National Paediatric Mortality Register. Data was subcategorised as Neonatal (0-28 days), Post Neonatal (29 days < 1 year) and older (1-14 years). Bed usage data (ICD-10 code, narrative and usage) of paediatric inpatients who died during hospitalisation from January 2015 to December 2016 was extracted from the National Quality Assurance Improvement System of in-patient data. Orphacodes were assigned to rare disease cases from ICD-10 codes or diagnostic narrative of both datasets. RESULTS: There were 4044 deaths registered from 2006-2016, aged < 15 years, of these 2368 (58.6%) had an underlying rare disease. Stratifying by age group; 55.6% (1140/2050) of neonatal deaths had a rare disease, 57.8% (450/778) post-neonatal, and 64% (778/1216) of children aged 1-14 years. Mortality coding using ICD-10 codes identified 42% of rare disease cases with the remainder identified using death certificate narrative records. Rare disease patients occupied 87% of bed days used by children < 15 years who died during hospitalisation from January 2015 to December 2016. CONCLUSION: Additional routine rare disease coding is necessary to identify rare diseases within Irish healthcare systems to enable better healthcare planning. Rare disease patients are overrepresented in paediatric mortality statistics and in-patient length of stay during hospital admission prior to death.