April W Armstrong, Elisabeth Riedl, Patrick M Brunner, Stefano Piaserico, Willie I Visser, Natalie Haustrup, Bruce W Konicek, Zbigniew Kadziola, Mercedes Nunez, Alan Brnabic, Christopher Schuster
{"title":"在银屑病健康结果研究 (PSoHO) 中确定接受生物制剂治疗的中重度银屑病患者 PASI100 第 12 个月反应的预测因素。","authors":"April W Armstrong, Elisabeth Riedl, Patrick M Brunner, Stefano Piaserico, Willie I Visser, Natalie Haustrup, Bruce W Konicek, Zbigniew Kadziola, Mercedes Nunez, Alan Brnabic, Christopher Schuster","doi":"10.2340/actadv.v104.40556","DOIUrl":null,"url":null,"abstract":"<p><p>Despite the abundance of data concerning biologic treatments for patients with psoriasis, clinicians are often challenged with discerning the optimal treatment for each patient. To inform this selection, this study explored whether a patient's baseline characteristics or disease profile could predict the likelihood of achieving complete skin clearance with biologic treatment. Machine-learning and other statistical methods were applied to the substantial data collected from patients with moderate-to-severe psoriasis in the ongoing, international, prospective, observational Psoriasis Study of Health Outcomes (PSoHO). The 3 measures of complete skin clearance were a psoriasis area and severity index (PASI)100 response at (a) week 12, (b) month 12, and (c) week 12 and maintain ed at month 6 and month 12 (PASI100 durability). From these real-world data, the absence of nail psoriasis emerged as the most consistent feature that may be used by clinicians to predict high-level treatment responses with biologic treatment. Other significant predictors of skin clearance with biologic treatments were the absence of hypertension and a lower body surface area affected by psoriasis. Overall, this study evidences the substantial challenge of identifying reliable clinical markers of treatment response for patients with psoriasis and highlights the importance of regular screening for psoriatic nail involvement.</p>","PeriodicalId":6944,"journal":{"name":"Acta dermato-venereologica","volume":"104 ","pages":"adv40556"},"PeriodicalIF":3.5000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11388106/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identifying Predictors of PASI100 Responses up to Month 12 in Patients with Moderate-to-severe Psoriasis Receiving Biologics in the Psoriasis Study of Health Outcomes (PSoHO).\",\"authors\":\"April W Armstrong, Elisabeth Riedl, Patrick M Brunner, Stefano Piaserico, Willie I Visser, Natalie Haustrup, Bruce W Konicek, Zbigniew Kadziola, Mercedes Nunez, Alan Brnabic, Christopher Schuster\",\"doi\":\"10.2340/actadv.v104.40556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Despite the abundance of data concerning biologic treatments for patients with psoriasis, clinicians are often challenged with discerning the optimal treatment for each patient. To inform this selection, this study explored whether a patient's baseline characteristics or disease profile could predict the likelihood of achieving complete skin clearance with biologic treatment. Machine-learning and other statistical methods were applied to the substantial data collected from patients with moderate-to-severe psoriasis in the ongoing, international, prospective, observational Psoriasis Study of Health Outcomes (PSoHO). The 3 measures of complete skin clearance were a psoriasis area and severity index (PASI)100 response at (a) week 12, (b) month 12, and (c) week 12 and maintain ed at month 6 and month 12 (PASI100 durability). From these real-world data, the absence of nail psoriasis emerged as the most consistent feature that may be used by clinicians to predict high-level treatment responses with biologic treatment. Other significant predictors of skin clearance with biologic treatments were the absence of hypertension and a lower body surface area affected by psoriasis. Overall, this study evidences the substantial challenge of identifying reliable clinical markers of treatment response for patients with psoriasis and highlights the importance of regular screening for psoriatic nail involvement.</p>\",\"PeriodicalId\":6944,\"journal\":{\"name\":\"Acta dermato-venereologica\",\"volume\":\"104 \",\"pages\":\"adv40556\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11388106/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta dermato-venereologica\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2340/actadv.v104.40556\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DERMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta dermato-venereologica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2340/actadv.v104.40556","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DERMATOLOGY","Score":null,"Total":0}
Identifying Predictors of PASI100 Responses up to Month 12 in Patients with Moderate-to-severe Psoriasis Receiving Biologics in the Psoriasis Study of Health Outcomes (PSoHO).
Despite the abundance of data concerning biologic treatments for patients with psoriasis, clinicians are often challenged with discerning the optimal treatment for each patient. To inform this selection, this study explored whether a patient's baseline characteristics or disease profile could predict the likelihood of achieving complete skin clearance with biologic treatment. Machine-learning and other statistical methods were applied to the substantial data collected from patients with moderate-to-severe psoriasis in the ongoing, international, prospective, observational Psoriasis Study of Health Outcomes (PSoHO). The 3 measures of complete skin clearance were a psoriasis area and severity index (PASI)100 response at (a) week 12, (b) month 12, and (c) week 12 and maintain ed at month 6 and month 12 (PASI100 durability). From these real-world data, the absence of nail psoriasis emerged as the most consistent feature that may be used by clinicians to predict high-level treatment responses with biologic treatment. Other significant predictors of skin clearance with biologic treatments were the absence of hypertension and a lower body surface area affected by psoriasis. Overall, this study evidences the substantial challenge of identifying reliable clinical markers of treatment response for patients with psoriasis and highlights the importance of regular screening for psoriatic nail involvement.
期刊介绍:
Acta Dermato-Venereologica publishes high-quality manuscripts in English in the field of Dermatology and Venereology, dealing with new observations on basic dermatological and venereological research, as well as clinical investigations. Each volume also features a number of Review articles in special areas, as well as short Letters to the Editor to stimulate debate and to disseminate important clinical observations. Acta Dermato-Venereologica has rapid publication times and is amply illustrated with a large number of colour photographs.