@article{JovanovicKlassenHeuschmannetal.2020,
  author    = {Jovanovic, Ana and Klassen, Philipp and Heuschmann, Peter and Sommer, Claudia and Roberts, Mark and {\"U}{\c{c}}eyler, Nurcan},
  title     = {English version of the self-administered Fabry Pain Questionnaire for adult patients},
  series = {Orphanet Journal of Rare Diseases},
  volume    = {15},
  journal   = {Orphanet Journal of Rare Diseases},
  doi       = {10.1186/s13023-020-01580-9},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-230298},
  year      = {2020},
  abstract  = {Background Pain is an early symptom of Fabry disease (FD) and is characterized by a unique phenotype with mainly episodic acral and triggerable burning pain. Recently, we designed and validated the first pain questionnaire for adult FD patients in an interview and a self-administered version in German: the Wurzburg Fabry Pain Questionnaire (FPQ). We now report the validation of the English version of the self-administered FPQ (enFPQ). Methods After two forward-backward translations of the FPQ by native German and native English speakers, the enFPQ was applied at The Mark Holland Metabolic Unit, Manchester, UK for validation. Consecutive patients with genetically ascertained FD and current or previous FD pain underwent a face-to-face interview using the enFPQ. Two weeks later, patients filled in the self-administered enFPQ at home. The agreement between entries collected by supervised administration and self-administration of the enFPQ was assessed via Gwet's AC1-statistics (AC1) for nominal-scaled scores and intraclass correlation coefficient (ICC) for interval-scaled elements. Results Eighty-three FD patients underwent the face-to-face interview and 54 patients sent back a completed self-administered version of the enFPQ 2 weeks later. We found high agreement with a mean AC1-statistics of 0.725 for 55 items, and very high agreement with a mean ICC of 0.811 for 9 items. Conclusions We provide the validated English version of the FPQ for self-administration in adult FD patients. The enFPQ collects detailed information on the individual FD pain phenotype and thus builds a solid basis for better pain classification and treatment in patients with FD.},
  language  = {en}
}