A multi-source approach to determine SMA incidence and research ready population.
Ingrid E C VerhaartAgata RobertsonRebecca LearyGrace McMackenKirsten KönigJanbernd KirschnerCynthia C JonesSuzanne F CookHanns LochmüllerPublished in: Journal of neurology (2017)
In spinal muscular atrophy (SMA), degeneration of motor neurons causes progressive muscular weakness, which is caused by homozygous deletion of the SMN1 gene. Available epidemiological data on SMA are scarce, often outdated, and limited to relatively small regions or populations. Combining data from different sources including genetic laboratories and patient registries may provide better insight of the disease epidemiology. To investigate the incidence of genetically confirmed SMA, and the number of patients who are able and approachable to participate in new clinical trials and observational research, we used both genetic laboratories, the TREAT-NMD Global SMA Patient Registry and the Care and Trial Sites Registry (CTSR). In Europe, 4653 patients were genetically diagnosed by the genetic laboratories in the 5-year period 2011 to 2015, with 992 diagnosed in 2015 alone. The data provide an estimated incidence of SMA in Europe of 1 in 3900-16,000 live births. Patient numbers in the national patient registries and CTSR were considerably lower. By far, most patients registered in the national patient registries and the CTSR live in Europe and are reported to have SMA type II. Considerable differences between countries in patient participation in the registries were observed. Our findings indicate that not all patients with SMA are accessed by specialist healthcare services and these patients may not have access to research opportunities and optimal care.
Keyphrases
- healthcare
- end stage renal disease
- clinical trial
- ejection fraction
- newly diagnosed
- case report
- chronic kidney disease
- peritoneal dialysis
- palliative care
- prognostic factors
- risk factors
- randomized controlled trial
- multiple sclerosis
- primary care
- spinal cord
- copy number
- drinking water
- transcription factor
- mental health
- study protocol
- deep learning
- quality improvement
- spinal cord injury
- social media
- phase iii
- preterm birth
- double blind
- genome wide analysis