Evidence map›Paper›PMID 31533770›Full record

ArticlePediatric rheumatology online journal2019

The role of age-specific N-terminal pro-brain natriuretic peptide cutoff values in predicting intravenous immunoglobulin resistance in Kawasaki disease: a prospective cohort study.

Shuran Shao, Chunyan Luo, Kaiyu Zhou, Yimin Hua, Mei Wu, Lei Liu, Xiaoliang Liu, Chuan Wang

Open access · goldAbstract read
In one paragraph

Article in Pediatric rheumatology online journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Shuran ShaoDepartment of Pediatric Cardiology, West China Second University Hospital, Sichuan University, No. 20, 3rd section, South Renmin Road Chengdu, Chengdu, 610041, Sichuan, China.
Chunyan LuoDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Kaiyu ZhouDepartment of Pediatric Cardiology, West China Second University Hospital, Sichuan University, No. 20, 3rd section, South Renmin Road Chengdu, Chengdu, 610041, Sichuan, China. kayuzhou313@163.com.
Yimin HuaDepartment of Pediatric Cardiology, West China Second University Hospital, Sichuan University, No. 20, 3rd section, South Renmin Road Chengdu, Chengdu, 610041, Sichuan, China.
Mei WuDepartment of Pediatric Cardiology, West China Second University Hospital, Sichuan University, No. 20, 3rd section, South Renmin Road Chengdu, Chengdu, 610041, Sichuan, China.
Lei LiuDepartment of Pediatric Cardiology, West China Second University Hospital, Sichuan University, No. 20, 3rd section, South Renmin Road Chengdu, Chengdu, 610041, Sichuan, China.
Xiaoliang LiuDepartment of Pediatric Cardiology, West China Second University Hospital, Sichuan University, No. 20, 3rd section, South Renmin Road Chengdu, Chengdu, 610041, Sichuan, China.
Chuan WangDepartment of Pediatric Cardiology, West China Second University Hospital, Sichuan University, No. 20, 3rd section, South Renmin Road Chengdu, Chengdu, 610041, Sichuan, China. 805101396@qq.com.ORCID http://orcid.org/0000-0001-5165-8273
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prediction of resistance to intravenous immunoglobulins (IVIG) is currently still one of the main research areas in Kawasaki disease (KD). Several studies have reported on the use of N-terminal pro-brain natriuretic peptide (NT-ProBNP) to this end. However, considering the age-dependency of NT-ProBNP levels, age- specific NT-ProBNP cutoff levels to predict IVIG resistance in KD might be more precise and should be evaluated.

methodsA prospective cohort study with standardized data collection involving 393 KD patients aged 1 month to 125 months was conducted between June 2015 and April 2018. The demographic characteristics, clinical manifestations and laboratory data were compared between the patients responding to initial intravenous immunoglobulin (IVIG-response group) and those who did not (IVIG-resistance group). We further distinguished four subgroups according to patients' age (< 1 year, 1-2 years, 2-6 years, > 6 years). The cutoff values of NT-ProBNP for the prediction of IVIG resistance overall and in the subgroups were obtained using receiver operating characteristic (ROC) analysis.

resultsIn all KD patients, the level of NT-ProBNP was significantly higher in the IVIG-resistance compared to the IVIG-response group (P = 0.006). This findings was similar in the subgroups except for patients older than six years. The best cutoff values of NT-ProBNP to predict IVIG resistance were 3755 pg/ml for all KD patients, 3710 pg/ml, 2800 pg/ml, 2480 pg/ml for those aged 2-6 years, 1-2 years and < 1 year, respectively. The corresponding sensitivities were 44.0, 52.2, 50.0 and 75.0%, while the specifities were 84.1, 86.3, 77.9 and 71.8%, respectively.

conclusionsNT-proBNP is a complementary laboratory marker for the prediction of IVIG resistance in KD patients, particularly for those younger than one year. Applying age-specific cutoff values is more precise than one value for all ages.

Indexed as

Age FactorsChildChild, PreschoolFemaleHumansImmunoglobulins, IntravenousInfantInfant, NewbornMaleMucocutaneous Lymph Node SyndromeNatriuretic Peptide, BrainPeptide FragmentsPredictive Value of TestsTreatment FailureImmunoglobulins, IntravenousNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Age-stratifiedIntravenous immunoglobulin resistanceKawasaki diseaseN-terminal pro-brain natriuretic peptide

Identifiers

PMID31533770
PMCPMC6751871
OpenAlexW2974566484

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Registered trials

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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.