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Autosomal dominant polycystic kidney disease : possibly the least silent cause of chronic kidney disease
Torra Balcells, Roser (Institut de Recerca Sant Pau)
Pérez-Gómez, Maria Vanessa (Hospital Universitario Fundación Jiménez Díaz)
Furlano, Monica (Institut de Recerca Sant Pau)
Universitat Autònoma de Barcelona

Data: 2021
Resum: Pain is the highest prioritized patient-reported outcome in people with autosomal dominant polycystic kidney disease (ADPKD) but it remains infrequently and inconsistently measured across countries, studies and trials. The study by El-Damanawi et al. integrated a network of ADPKD expert clinicians, pain specialists, researchers and patient representatives from the national UK PKD charity, with the aim of addressing the lack of validated ADPKD-specific pain assessment tools (APATs). The APAT designed by the authors included several pain measurement tools and was tested in ADPKD patients, although further validation through assessment in larger cohorts is needed. Establishing a standardized instrument for pain measurement will ensure that pain is measured and reported in a consistent way to inform decision-making and identify effective interventions aimed at managing pain and minimizing the impact pain has on patients with ADPKD. In this context, the APAT established by the authors is to be warmly welcomed.
Ajuts: Instituto de Salud Carlos III PI18/00362
Ministerio de Economía y Competitividad RD16/0009
Fundació la Marató de TV3 202036
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: ADPKD ; Assessment ; Pain ; Patient-reported outcome ; Trials
Publicat a: Clinical Kidney Journal, Vol. 14 (july 2021) , p. 2281-2284, ISSN 2048-8513

DOI: 10.1093/ckj/sfab132
PMID: 34754424


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