{"title":"碱性磷酸酶有助于预测多发性风湿性关节炎患者的巨细胞关节炎并发症。","authors":"Ryo Yamashita, Yusuke Izumi, Jun Hiramoto","doi":"10.1093/mr/roae101","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study determined whether alkaline phosphatase (ALP) can be used to distinguish giant cell arteritis (GCA) complications in patients with polymyalgia rheumatica (PMR).</p><p><strong>Methods: </strong>This retrospective study included patients diagnosed with PMR between January 2014 and October 2023 at our hospital. The predictive accuracy of biomarkers for diagnosing GCA was evaluated. Logistic regression was performed to identify factors predicting GCA complications.</p><p><strong>Results: </strong>In total, 128 participants were included in this study and divided into two groups: isolated PMR (n = 111) and PMR with GCA (n = 17). The median ALP level of PMR with GCA group was significantly higher than that of the isolated PMR group (242.0 [interquartile range, 221.0-595.0] vs. 187.0 [interquartile range 97.5-254.5] U/L, P < .001). Setting a cut-off value of 214 U/L for ALP yielded a sensitivity and specificity of 0.88 and 0.55, respectively, for diagnosing GCA. Multivariate analysis revealed that ALP was a significant independent variable in the complications of GCA (odds ratio, 25.2; P = .032).</p><p><strong>Conclusions: </strong>ALP can help distinguish GCA complications in patients with PMR.</p>","PeriodicalId":18705,"journal":{"name":"Modern Rheumatology","volume":" ","pages":"529-534"},"PeriodicalIF":2.1000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Alkaline phosphatase is useful for predicting giant cell arteritis complications in patients with polymyalgia rheumatica.\",\"authors\":\"Ryo Yamashita, Yusuke Izumi, Jun Hiramoto\",\"doi\":\"10.1093/mr/roae101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study determined whether alkaline phosphatase (ALP) can be used to distinguish giant cell arteritis (GCA) complications in patients with polymyalgia rheumatica (PMR).</p><p><strong>Methods: </strong>This retrospective study included patients diagnosed with PMR between January 2014 and October 2023 at our hospital. The predictive accuracy of biomarkers for diagnosing GCA was evaluated. Logistic regression was performed to identify factors predicting GCA complications.</p><p><strong>Results: </strong>In total, 128 participants were included in this study and divided into two groups: isolated PMR (n = 111) and PMR with GCA (n = 17). The median ALP level of PMR with GCA group was significantly higher than that of the isolated PMR group (242.0 [interquartile range, 221.0-595.0] vs. 187.0 [interquartile range 97.5-254.5] U/L, P < .001). Setting a cut-off value of 214 U/L for ALP yielded a sensitivity and specificity of 0.88 and 0.55, respectively, for diagnosing GCA. Multivariate analysis revealed that ALP was a significant independent variable in the complications of GCA (odds ratio, 25.2; P = .032).</p><p><strong>Conclusions: </strong>ALP can help distinguish GCA complications in patients with PMR.</p>\",\"PeriodicalId\":18705,\"journal\":{\"name\":\"Modern Rheumatology\",\"volume\":\" \",\"pages\":\"529-534\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Modern Rheumatology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/mr/roae101\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RHEUMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modern Rheumatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/mr/roae101","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
Alkaline phosphatase is useful for predicting giant cell arteritis complications in patients with polymyalgia rheumatica.
Objectives: This study determined whether alkaline phosphatase (ALP) can be used to distinguish giant cell arteritis (GCA) complications in patients with polymyalgia rheumatica (PMR).
Methods: This retrospective study included patients diagnosed with PMR between January 2014 and October 2023 at our hospital. The predictive accuracy of biomarkers for diagnosing GCA was evaluated. Logistic regression was performed to identify factors predicting GCA complications.
Results: In total, 128 participants were included in this study and divided into two groups: isolated PMR (n = 111) and PMR with GCA (n = 17). The median ALP level of PMR with GCA group was significantly higher than that of the isolated PMR group (242.0 [interquartile range, 221.0-595.0] vs. 187.0 [interquartile range 97.5-254.5] U/L, P < .001). Setting a cut-off value of 214 U/L for ALP yielded a sensitivity and specificity of 0.88 and 0.55, respectively, for diagnosing GCA. Multivariate analysis revealed that ALP was a significant independent variable in the complications of GCA (odds ratio, 25.2; P = .032).
Conclusions: ALP can help distinguish GCA complications in patients with PMR.
期刊介绍：
Modern Rheumatology publishes original papers in English on research pertinent to rheumatology and associated areas such as pathology, physiology, clinical immunology, microbiology, biochemistry, experimental animal models, pharmacology, and orthopedic surgery.
Occasional reviews of topics which may be of wide interest to the readership will be accepted. In addition, concise papers of special scientific importance that represent definitive and original studies will be considered.
Modern Rheumatology is currently indexed in Science Citation Index Expanded (SciSearch), Journal Citation Reports/Science Edition, PubMed/Medline, SCOPUS, EMBASE, Chemical Abstracts Service (CAS), Google Scholar, EBSCO, CSA, Academic OneFile, Current Abstracts, Elsevier Biobase, Gale, Health Reference Center Academic, OCLC, SCImago, Summon by Serial Solutions
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