血清SCCA作为评估银屑病严重程度和监测治疗反应的生物标志物。

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Bin Wei , Bei Cai , Qian Niu , Dong Wu , Limei Luo
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引用次数: 0

摘要

背景:虽然临床检查仍然是牛皮癣的诊断基石,但相对缺乏客观、定量的生物标志物来补充临床评估,以跟踪疾病严重程度和监测治疗反应。我们评估了血清SCCA在识别牛皮癣和评估其在人口统计学(性别、年龄)和临床(合并症)亚组的严重程度方面的效用,以及它与治疗反应的关系。方法:将181例成人(≥18 岁)新诊断的银屑病患者纳入疾病组;385例其他皮肤相关疾病患者和658名健康成人作为对照。排除了诊断为肿瘤或肾功能衰竭的患者。血清SCCA测定采用罗氏Cobas e801分析仪(罗氏,巴塞尔,瑞士)。动态分析血清SCCA在监测银屑病治疗疗效中的意义。结果:银屑病患者血清SCCA水平主要受性别和伴发疾病的影响。值得注意的是,SCCA在合并症患者中具有较高的诊断准确性(AUC: 0.89-0.90),具有性别特异性截止值。血清SCCA鉴别严重银屑病的临界值为2.64 ng/mL, AUC大于0.9,NPV大于95 %。治疗前后血清SCCA水平与银屑病面积及严重程度指数(PASI)、体表面积(BSA)显著相关。血清SCCA的中位下降率在治疗后5 天接近50 %,在治疗后10 天接近60 %。结论:血清SCCA有望作为银屑病严重程度评估和治疗监测的可靠、补充性生物标志物。其用于识别目的的应用应按性别和合并症分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Serum SCCA as a biomarker for assessing severity and monitoring treatment response in psoriasis

Background

While clinical examination remains the diagnostic cornerstone for psoriasis, there is a relative lack of objective, quantitative biomarkers to complement clinical assessment for tracking disease severity and monitoring therapeutic response. We evaluated serum SCCA's utility in identifying psoriasis and assessing its severity across demographic (gender, age) and clinical (comorbidity) subgroups, and its association with therapeutic responses.

Methods

A total of 181 adult (≥18 years old) patients with newly diagnosed psoriasis were included in the disease group; 385 patients with other skin-related diseases and 658 healthy adults were included as controls. Patients diagnosed with tumors or renal failure were excluded. Serum SCCA was determined using Roche Cobas e 801 analyzer (Roche, Basel, Switzerland). Dynamic analysis was performed to evaluate the significance of serum SCCA in monitoring psoriasis treatment response.

Results

Serum SCCA levels in psoriasis patients were mainly affected by gender and concomitant diseases. Notably, SCCA demonstrated high diagnostic accuracy (AUC: 0.89–0.90) in patients with comorbidities, with sex-specific cutoffs. The cutoff value of serum SCCA for identifying severe psoriasis was 2.64 ng/mL with an AUC greater than 0.9 and an NPV over 95 %. Serum SCCA levels were significantly correlated with the psoriasis area and severity index (PASI) and body surface area (BSA) both before and after treatment. The median decrease rate of serum SCCA was close to 50 % at >5 days post-treatment and 60 % at >10 days post-treatment.

Conclusions

Serum SCCA shows promise as a reliable, complementary biomarker for the severity assessment and treatment monitoring of psoriasis. Its application for identification purposes should be stratified by sex and comorbidities.
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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