PSOCUBE, a multidimensional assessment of psoriasis patients as a both clinically/practically sustainable and evidence-based algorithm

J Eur Acad Dermatol Venereol. 2015 Jul;29(7):1310-7. doi: 10.1111/jdv.12809. Epub 2014 Nov 4.

Abstract

Background: There is increasing awareness of the clinical relevance of psoriasis comorbidities and of the importance of timely and effective screening for such comorbidities in the management of psoriatic patients. Previous works have focused on assessing evidence for prevalence of comorbidities and on the best available evidence for sensitivity in diagnosing suspected comorbidities. No algorithms are available, which have been tested on large numbers of physicians concerning the acceptance of such algorithms both by practicing clinical dermatologists and by their consulting specialists from other fields.

Objective: To propose a multidimensional assessment algorithm for psoriasis comorbidities which may prove at the same time enough sensitive and practically sustainable in daily clinical practice.

Methods: After an exhaustive literature search, we performed a Delphi procedure involving 50 dedicated dermatological centres to obtain a standardized assessment algorithm, which would meet requirements of sustainability and acceptability both from the point of view of Evidence-Based Medicine as well as from the point of view of practical and clinical feasibility: to meet both requirements, results from the Delphi procedure were elaborated and modified by a restricted panel of experts.

Results: The procedure has yielded PSOCUBE, a three-dimensional table comprising 14 clinical examination and history taking items, 32 screening laboratory and instrumental exams and 11 clinimetric scores.

Conclusion: PSOCUBE, a simple algorithm, may be employed by practising dermatologists to perform standardized assessment procedures on psoriatic patients raising the chances of early recognition of patients at risk for comorbidities, thus fostering more effective prevention; PSOCUBE may therefore contribute to reduce the overall impact of this chronic, widespread disease.

Publication types

  • Review

MeSH terms

  • Algorithms*
  • Disease Management*
  • Evidence-Based Medicine / methods*
  • Humans
  • Psoriasis / diagnosis*
  • Psoriasis / therapy*