Niemann Pick Type C patient finder

  • Research type

    Research Study

  • Full title

    Niemann-Pick Type C (NP-C) Patient Finder Initiative: Can Hospital Episode Statistics (HES) data be used to identify complex clinical syndromes and diagnose a rare disease?

  • IRAS ID

    171051

  • Contact name

    Robin Lachmann

  • Contact email

    robin.lachmann@uclh.nhs.uk

  • Duration of Study in the UK

    0 years, 7 months, 31 days

  • Research summary

    In England, Hospital Episode Statistics (HES)data applies an ICD-10 code to each clinical symptom and procedure a patient experiences while attending a hospital, as either an inpatient or outpatient. Niemann-Pick C is an ultra rare metabolic disease with multiple clinical symptoms. This disease is often not diagnosed due to the diverse phenotype and variable age of onset. This study will evaluate if using combinations of HES ICD-10 codes linked to specific symptoms seen in NP-C, can identify patients who may have this disease. Having identified a patient who could potentially have NP-C, the treating physician will be contacted with a letter from the Principal Investigator. This will inform them about the study, tell them that we have identified a patient who might have NP-C, give them the HES patient identifier and suggest how they might confirm the diagnosis if they wish to.

  • REC name

    London - Brent Research Ethics Committee

  • REC reference

    15/LO/1773

  • Date of REC Opinion

    5 Nov 2015

  • REC opinion

    Favourable Opinion