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重新思考川崎病的诊断:继续寻找新的生物标志物。

Rethinking Kawasaki disease diagnosis: Continuing the search for new biomarkers.

作者信息

Pan Yan, Jiao Fu-Yong

机构信息

Department of Pediatrics, The First Affiliated Hospital of Yangtze University, Jingzhou 434000, Hubei Province, China.

Shaanxi Kawasaki Disease Diagnosis and Treatment Center, Children's Hospital, Shaanxi Provincial People's Hospital of Xi'an, Jiaotong University, Xi'an 710000, Shaanxi Province, China.

出版信息

World J Clin Cases. 2024 Oct 26;12(30):6346-6348. doi: 10.12998/wjcc.v12.i30.6346.

Abstract

Recent findings by Yamashita report a Kawasaki disease (KD) case with normal biomarker levels, challenging traditional diagnostic paradigms. This editorial explores the implications of such atypical KD presentations, emphasizing the need for novel biomarkers and revised diagnostic guidelines. The case underscores the limitations of current biomarkers, the importance of clinical judgment, and the necessity for comprehensive research to identify new diagnostic tools. Emerging technologies in proteomics and genomics offer potential avenues for discovering reliable biomarkers. Revisiting clinical guidelines to incorporate flexibility for atypical presentations is crucial. Ensuring timely and accurate KD diagnosis, even without elevated traditional biomarkers, prevents severe complications. Future advancements should focus on novel biomarkers to improve patient outcomes.

摘要

山下最近的研究报告了一例生物标志物水平正常的川崎病(KD)病例,这对传统诊断模式提出了挑战。这篇社论探讨了这种非典型KD表现的影响,强调了新型生物标志物和修订诊断指南的必要性。该病例凸显了当前生物标志物的局限性、临床判断的重要性以及开展全面研究以确定新诊断工具的必要性。蛋白质组学和基因组学中的新兴技术为发现可靠的生物标志物提供了潜在途径。重新审视临床指南以纳入针对非典型表现的灵活性至关重要。即使传统生物标志物未升高,确保及时、准确的KD诊断也能预防严重并发症。未来的进展应聚焦于新型生物标志物以改善患者预后。

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本文引用的文献

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Application of artificial intelligence in the diagnosis and treatment of Kawasaki disease.
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2
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4
Kawasaki disease without changes in inflammatory biomarkers: A case report.
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