Department of Dermatology, University Hospital of Padua, Italy.
Research Unit of Behavioural Medicine, Health Psychology and Empirical Psychosomatics, Medical University of Graz, Graz, Austria.
J Eur Acad Dermatol Venereol. 2015 Jul;29(7):1310-7. doi: 10.1111/jdv.12809. Epub 2014 Nov 4.
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.
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.
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.
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.
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.
人们越来越意识到银屑病合并症的临床相关性,以及在管理银屑病患者时及时有效地筛查这些合并症的重要性。以前的研究集中于评估合并症的患病率证据,以及诊断疑似合并症的最佳可用证据的敏感性。目前尚无经过大量医生测试的算法,这些算法涉及到临床皮肤科医生和来自其他领域的咨询专家对这些算法的接受程度。
提出一种多维评估银屑病合并症的算法,该算法在日常临床实践中既能证明足够敏感,又具有实际可持续性。
在进行全面的文献检索后,我们进行了一项涉及 50 个专门皮肤科中心的 Delphi 程序,以获得一种标准化的评估算法,该算法将同时满足循证医学和实际临床可行性的可持续性和可接受性要求:为了满足这两个要求,Delphi 程序的结果由一个受限的专家小组进行阐述和修改。
该程序产生了 PSOCUBE,一个包含 14 项临床检查和病史采集项目、32 项筛查实验室和仪器检查以及 11 项临床计量评分的三维表格。
PSOCUBE 是一种简单的算法,可由执业皮肤科医生用于对银屑病患者进行标准化评估程序,提高识别有合并症风险患者的机会,从而促进更有效的预防;因此,PSOCUBE 有助于减轻这种慢性、广泛疾病的整体影响。