Evidence map›Paper›PMID 37870383›Full record

ArticleAnnals of medicine2023

Serum amyloid A as a biomarker for immunoglobulin resistance in Kawasaki disease.

Xiao-Bi Huang, Sheng Zhao, Zhi-Yuan Liu, Yan-Yan Xu, Fang Deng

Open access · goldAbstract read
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Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Xiao-Bi HuangDepartment of Pediatric Nephrology, Children's Hospital of Anhui Medical University (Anhui Provincial Children's Hospital), Hefei, China.
Sheng ZhaoDepartment of Pediatric Cardiology, Children's Hospital of Anhui Medical University (Anhui Provincial Children's Hospital), Hefei, China.
Zhi-Yuan LiuDepartment of Pediatric Cardiology, Children's Hospital of Anhui Medical University (Anhui Provincial Children's Hospital), Hefei, China.
Yan-Yan XuDepartment of Pediatric Cardiology, Children's Hospital of Anhui Medical University (Anhui Provincial Children's Hospital), Hefei, China.
Fang DengDepartment of Pediatric Nephrology, Children's Hospital of Anhui Medical University (Anhui Provincial Children's Hospital), Hefei, China.
Anhui Provincial Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntravenous immunoglobulin (IVIG) resistance is of prime importance in Kawasaki disease (KD). In this study, we examined the value and mechanism of serum amyloid A (SAA) level in predicting IVIG resistance in patients with KD.

methodsSAA levels were measured in 497 consecutive patients with KD before IVIG therapy in the training set. The patients were divided into two groups (IVIG-responsive and IVIG-resistant) according to the American Heart Association (AHA) definition of IVIG resistance. Demographic, echocardiographic, and laboratory data were also retrospectively analyzed and tabulated to predict IVIG resistance. The predictive value of SAA was validated on test sets of prospective data. Cytokine microarrays were analyzed from 4 patients with resistant to IVIG, 4 patients with responsive to IVIG and 4 healthy volunteers.

resultsDuring the training set, 409 patients with KD were enrolled, of whom 43 (10.5%) were resistant to initial IVIG treatment and 47 (11.49%) had coronary artery lesions (CALs). Serum levels of SAA were higher in the IVIG resistant group compared to the IVIG responsive group, (380.00 [204.40-547.25] vs 230.85 [105.40-490.00] mg/L;

conclusionsSAA may be a potential biomarker for predicting IVIG responsiveness to KD, Combined detection of SAA levels, total bilirubin, neutrophil count, platelet count, and serum sodium levels is superior to that of any other single indicator for predicting IVIG resistance in KD. And elevated SAA may accompany with IL-6 in KD patients, its use in clinical practice may be helpful for treatment management.

Indexed as

Immunoglobulins, IntravenousMucocutaneous Lymph Node SyndromeBilirubinBiomarkersChildCytokinesHumansInfantInterleukin-6Prospective StudiesRetrospective StudiesSerum Amyloid A ProteinSodiumBilirubinBiomarkersCytokinesImmunoglobulins, IntravenousInterleukin-6Serum Amyloid A ProteinSodiumBinary logistic regressioncytokinesintravenous immunoglobulinKawasaki diseaseresistanceserum amyloid A

Identifiers

PMID37870383
PMCPMC10836278
OpenAlexW4387866460

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.