Evidence map›Paper›PMID 37357258›Full record

ArticleItalian journal of pediatrics2023

Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients.

Rui Zhang, Shuping Shuai, Hongxi Zhang, Jianghui Cai, Na Cui, Mi Tang, Shasha Xing, Yu Gao, Xia Liu, Xiao Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Italian journal of pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Rui Zhang *Department of Pharmacy, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Shuping Shuai *Department of Pharmacy, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Hongxi Zhang *Department of Pharmacy, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Jianghui Cai *Department of Pharmacy, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Na CuiDepartment of Emergency, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Mi TangSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Shasha XingOffice of Good Clinical Practice, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Yu GaoDepartment of Pharmacy, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Xia LiuDepartment of Pharmacy, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Xiao YangDepartment of Obstetrics, School of Medicine, Chengdu Women's and Children's Central Hospital, University of Electronic Science and Technology of China, No.1314 Riyue Avenue, Qingyang District, Chengdu, 611731, China. wcchgcptg@163.com.ORCID http://orcid.org/0000-0001-9805-221X
University of Electronic Science and Technology of China · CN

Funding

Chengdu Medical Research Project 2022065Sichuan Province Science and Technology Support Program 2023NSFSC0617
6 · The paper itself

Abstract

backgroundIntravenous immunoglobulin (IVIG) has been the mainstay of treatment for Kawasaki disease (KD) over the past decades. However, 10-20% of KD patients are resistant to IVIG treatment which puts those patients at high risk of coronary artery lesions (CALs). Therefore, it is important to predict whether patients will be resistant to IVIG before the treatment. This study aimed to investigate the risk factors for IVIG non-responsive patients with KD.

methodsThis study enrolled patients diagnosed with KD and divided them into two groups, IVIG responders and IVIG non-responders. We compared the differences in demographics and clinical data between the two groups. Differences among the groups were analyzed by ANOVA and Chi-square analysis. Predictors of IVIG resistance were determined by multiple logistic regression analysis and receiver operating characteristic (ROC) curve analysis.

resultsIn total, 907 KD patients were reviewed, with 841 IVIG responders and 66 IVIG non-responders. Patients in IVIG responders were younger than IVIG non-responders. The length of hospitalization of the IVIG non-responders was significantly longer than IVIG responders. The neutrophils%, C-reaction protein (CRP), and CRP/albumin ratio in IVIG responders were significantly lower than in IVIG non-responders (P < 0.05). The lymphocyte% and Albumin in IVIG responders were significantly higher than in IVIG non-responders. Multivariable logistic regression analysis demonstrated that albumin (OR = 0.881, 95% CI, 0.781 to 0.994, p-value = 0.039) was an independent risk factor for predicting IVIG resistance. The area under the ROC curve was 0.644, with a cut-off of ≤ 33.4 g/L determined by Youden's index. The sensitivity and specificity in predicting IVIG resistance were 40.91% and 83.47%, respectively.

conclusionAlbumin can serve as a potential predicting marker for IVIG resistance in KD. A lower albumin level may be useful for identifying KD patients with a high risk of IVIG resistance to guide further therapy strategies.

Indexed as

Immunoglobulins, IntravenousMucocutaneous Lymph Node SyndromeC-Reactive ProteinHumansInfantRetrospective StudiesSensitivity and SpecificityC-Reactive ProteinImmunoglobulins, IntravenousAlbuminIntravenous immunoglobulinIVIG resistantKawasaki diseasePredictive value

Identifiers

PMID37357258
PMCPMC10291809
OpenAlexW4381949665

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.