Abstract 4136627: Development of a biomarker to predict refractory cases in Kawasaki disease patients -towards the development of diagnostic kit-
Rattachement africain : jp. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Introduction: Kawasaki disease (KD), which is the most common multisystem vasculitis with unknown causes in childhood, causes coronary artery lesions (CALs). Treatment with a high dose of intravenous immunoglobulin (IVIG) is the most effective therapy for the acute phase of KD. However, some very severe cases need several additional treatments and are at risk for CALs. Several scoring systems that have tried to predict IVIG-resistant patients failed in multiethnic populations. Aims: To develop the most effective biomarker for predicting refractory cases and determine the cut-off value for the development of the diagnostic kit. Methods: Multicenter, prospective, observational study was conducted at 49 hospitals in Japan between September 2017 and December 2023. The subjects consisted of 1310 KD patients, including Group 1 (n=50); treatment-resistant cases that required additional treatment of 3rd line or more (defined as refractory cases), and Group 2 (n=1260); cases that completed the treatment with 1st or 2nd line. Tenascin C (TN-C), Pentraxin 3 (PTX3), and Procalcitonin (PCT) values, which were selected by systematic review and a pilot study, were measured before initial treatment in each group. The cut-off value of the biomarker, which had the highest area under the curve (AUC), was determined. Results: All three biomarker values were significantly higher in Group 1 than Group 2 (p<0.01). Median [Interquartile range] in Group 1 vs Group 2 and AUC were PTX3; 44.6 [32.3-67.9] vs 12.2 [6.9-26.9]ng/ml, AUC=0.83, PCT; 4.3 [1.9-7.8] vs 0.6 [0.2-1.9]ng/ml, AUC=0.81, TN-C; 182 [122-222] vs 123 [94-163]ng/ml, AUC=0.71. PTX3 showed the highest AUC with the cut-off value of 31.7ng/ml [95% confidence interval; 31.7-34.9]. Group 1 could be predicted by PTX3 with the sensitivity of 80%, the specificity of 82%, the positive predictive value of 13% and the negative predictive value of 99%. Conclusions: It may be possible to predict refractory KD cases with high sensitivity and specificity by PTX3 value before initial treatment, and possibly develop a diagnostic kit using PTX3 value for prediction of refractory cases.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Abstract 4136627: Development of a biomarker to predict refractory cases in Kawasaki disease patients -towards the development of diagnostic kit-
- Date Crossref
- 12/11/2024
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Fukuoka University pays non établi dans la noticeUniversité ou école supérieure
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Nippon Medical School pays non établi dans la noticeUniversité ou école supérieure
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Hokkaido University pays non établi dans la noticeUniversité ou école supérieure
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Toho University pays non établi dans la noticeUniversité ou école supérieure
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University of Toyama pays non établi dans la noticeUniversité ou école supérieure
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Nagoya University pays non établi dans la noticeUniversité ou école supérieure
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Kyoto Prefectural University of Medicine pays non établi dans la noticeUniversité ou école supérieure
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Japanese Red Cross Society Kyoto Daini Hospital pays non établi dans la noticeÉtablissement de santé
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Kurume University pays non établi dans la noticeUniversité ou école supérieure
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Kyushu University pays non établi dans la noticeUniversité ou école supérieure
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Mie University pays non établi dans la noticeUniversité ou école supérieure
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School of medicine pays non établi dans la noticeUniversité ou école supérieure
Fukuoka University, Nippon Medical School et Hokkaido University, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.