Yul Hee Kim, Seung Il Kim, Bumhee Park, Eun-So Lee
{"title":"银屑病开始生物治疗的临床特征:聚类分析。","authors":"Yul Hee Kim, Seung Il Kim, Bumhee Park, Eun-So Lee","doi":"10.5021/ad.22.148","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Psoriasis is a complex and heterogeneous disease that widely affects a patient's life. Biological therapy is usually prescribed in patients with severe psoriasis that do not respond to conventional treatment. However, data on the specific patient characteristics receiving biologics are still unavailable.</p><p><strong>Objective: </strong>To classify patients with psoriasis into subgroups with distinct phenotypes through cluster analysis, and to evaluate the differences between the clusters to predict disease prognosis by examining the response to biological therapy.</p><p><strong>Methods: </strong>The clinical characteristics of the patients with psoriasis were investigated and categorized using hierarchical cluster analysis. After clustering, the clinical characteristics of the patients were compared and the initiation of treatment with biologics according to the clusters were evaluated.</p><p><strong>Results: </strong>A total of 361 patients with psoriasis were classified into two clusters using 16 distinct clinical phenotypes. Group 1 (n=202) consisted of male smokers and alcohol users with higher psoriasis area and severity index (PASI), older age of onset, higher body mass index, and comorbidities including psoriatic arthritis, hypertension, and diabetes when compared to group 2 (n=159). Group 1 had a significantly higher probability of biological treatment initiation than group 2 (<i>p</i>=0.039). The measured risk factors for the initiation of biologics compared were PASI (<i>p</i><0.001) and nail involvement (<i>p</i>=0.022).</p><p><strong>Conclusion: </strong>Cluster analysis classified patients with psoriasis into two subgroups according to their clinical characteristics. Predicting the disease prognosis using a combination of specific clinical parameters may aid in the management of the disease.</p>","PeriodicalId":8233,"journal":{"name":"Annals of Dermatology","volume":"35 2","pages":"132-139"},"PeriodicalIF":1.5000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d0/ae/ad-35-132.PMC10112364.pdf","citationCount":"2","resultStr":"{\"title\":\"Clinical Characteristics of Psoriasis for Initiation of Biologic Therapy: A Cluster Analysis.\",\"authors\":\"Yul Hee Kim, Seung Il Kim, Bumhee Park, Eun-So Lee\",\"doi\":\"10.5021/ad.22.148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Psoriasis is a complex and heterogeneous disease that widely affects a patient's life. Biological therapy is usually prescribed in patients with severe psoriasis that do not respond to conventional treatment. However, data on the specific patient characteristics receiving biologics are still unavailable.</p><p><strong>Objective: </strong>To classify patients with psoriasis into subgroups with distinct phenotypes through cluster analysis, and to evaluate the differences between the clusters to predict disease prognosis by examining the response to biological therapy.</p><p><strong>Methods: </strong>The clinical characteristics of the patients with psoriasis were investigated and categorized using hierarchical cluster analysis. After clustering, the clinical characteristics of the patients were compared and the initiation of treatment with biologics according to the clusters were evaluated.</p><p><strong>Results: </strong>A total of 361 patients with psoriasis were classified into two clusters using 16 distinct clinical phenotypes. Group 1 (n=202) consisted of male smokers and alcohol users with higher psoriasis area and severity index (PASI), older age of onset, higher body mass index, and comorbidities including psoriatic arthritis, hypertension, and diabetes when compared to group 2 (n=159). Group 1 had a significantly higher probability of biological treatment initiation than group 2 (<i>p</i>=0.039). The measured risk factors for the initiation of biologics compared were PASI (<i>p</i><0.001) and nail involvement (<i>p</i>=0.022).</p><p><strong>Conclusion: </strong>Cluster analysis classified patients with psoriasis into two subgroups according to their clinical characteristics. Predicting the disease prognosis using a combination of specific clinical parameters may aid in the management of the disease.</p>\",\"PeriodicalId\":8233,\"journal\":{\"name\":\"Annals of Dermatology\",\"volume\":\"35 2\",\"pages\":\"132-139\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d0/ae/ad-35-132.PMC10112364.pdf\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Dermatology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5021/ad.22.148\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"DERMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Dermatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5021/ad.22.148","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DERMATOLOGY","Score":null,"Total":0}
Clinical Characteristics of Psoriasis for Initiation of Biologic Therapy: A Cluster Analysis.
Background: Psoriasis is a complex and heterogeneous disease that widely affects a patient's life. Biological therapy is usually prescribed in patients with severe psoriasis that do not respond to conventional treatment. However, data on the specific patient characteristics receiving biologics are still unavailable.
Objective: To classify patients with psoriasis into subgroups with distinct phenotypes through cluster analysis, and to evaluate the differences between the clusters to predict disease prognosis by examining the response to biological therapy.
Methods: The clinical characteristics of the patients with psoriasis were investigated and categorized using hierarchical cluster analysis. After clustering, the clinical characteristics of the patients were compared and the initiation of treatment with biologics according to the clusters were evaluated.
Results: A total of 361 patients with psoriasis were classified into two clusters using 16 distinct clinical phenotypes. Group 1 (n=202) consisted of male smokers and alcohol users with higher psoriasis area and severity index (PASI), older age of onset, higher body mass index, and comorbidities including psoriatic arthritis, hypertension, and diabetes when compared to group 2 (n=159). Group 1 had a significantly higher probability of biological treatment initiation than group 2 (p=0.039). The measured risk factors for the initiation of biologics compared were PASI (p<0.001) and nail involvement (p=0.022).
Conclusion: Cluster analysis classified patients with psoriasis into two subgroups according to their clinical characteristics. Predicting the disease prognosis using a combination of specific clinical parameters may aid in the management of the disease.
期刊介绍：
Annals of Dermatology (Ann Dermatol) is the official peer-reviewed publication of the Korean Dermatological Association and the Korean Society for Investigative Dermatology. Since 1989, Ann Dermatol has contributed as a platform for communicating the latest research outcome and recent trend of dermatology in Korea and all over the world.
Ann Dermatol seeks for ameliorated understanding of skin and skin-related disease for clinicians and researchers. Ann Dermatol deals with diverse skin-related topics from laboratory investigations to clinical outcomes and invites review articles, original articles, case reports, brief reports and items of correspondence. Ann Dermatol is interested in contributions from all countries in which good and advanced research is carried out. Ann Dermatol willingly recruits well-organized and significant manuscripts with proper scope throughout the world.
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