Evidence map›Paper›PMID 36976367›Full record

ArticleAnnals of intensive care2023

The outcome of acute kidney injury substages based on urinary cystatin C in critically ill children.

Jiao Chen, Zhen Jiang, Hui Huang, Min Li, Zhenjiang Bai, Yuxian Kuai, Lin Wei, Ning Liu, Xiaozhong Li, Guoping Lu and 1 more

Open access · goldFull text read
In one paragraph

Article in Annals of intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 6 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

11 authors at 3 institutions in 1 country.

Jiao Chen *Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Zhen Jiang *Pediatric Intensive Care Unit, Xuzhou Children's Hospital, Xuzhou, Jiangsu Province, China.
Hui Huang *Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Min LiPediatric Intensive Care Unit, AnHui Provincial Children's Hospital, Hefei, Anhui Province, China.
Zhenjiang BaiPediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Yuxian KuaiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Lin WeiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Ning LiuDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Xiaozhong LiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Guoping LuPediatric Intensive Care Unit, Children's Hospital of Fudan University, Shanghai, China.
Yanhong LiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China. lyh072006@hotmail.com.ORCID http://orcid.org/0000-0003-0882-6408
Soochow University · CNAnhui Provincial Children's Hospital · CNChildren's Hospital of Fudan University · CN

Funding

Key talent of women's and children's health of JiangSu province FRC201738National Natural Science Foundation of China 81971432Science and Technology Support Program of Jiangsu Province BE2020660
6 · The paper itself

Abstract

backgroundThe concept of acute kidney injury (AKI) substages has been recommended to better phenotype AKI and identify high-risk patient groups and therefore improve the diagnostic accuracy of AKI. However, there remains a gap between the recommendation and the clinical application. The study aimed to explore the incidence of AKI substages based on a sensitive AKI biomarker of urinary cystatin C (uCysC), and to determine whether AKI substages were relevant with respect to outcome in critically ill children.

resultsThe multicenter cohort study enrolled 793 children in pediatric intensive care unit (PICU) of four tertiary hospitals in China. Children were classified as non-AKI, sub-AKI and AKI substages A and B according to uCysC level at PICU admission. Sub-AKI was defined by admission uCysC level ≥ 1.26 mg/g uCr in children not meeting the KDIGO criteria of AKI. In children who fulfilled KDIGO criteria, those with uCysC < 1.26 was defined as AKI substage A, and with ≥ 1.26 defined as AKI substage B. The associations of AKI substages with 30-day PICU mortality were assessed. 15.6% (124/793) of patients met the definition of sub-AKI. Of 180 (22.7%) patients with AKI, 90 (50%) had uCysC-positive AKI substage B and were more likely to have classical AKI stage 3, compared to substage A. Compared to non-AKI, sub-AKI and AKI substages A and B were risk factors significantly associated with mortality, and the association of sub-AKI (adjusted hazard ratio HR = 2.42) and AKI substage B (adjusted HR = 2.83) with mortality remained significant after adjustment for confounders. Moreover, AKI substage B had increased risks of death as compared with sub-AKI (HR = 3.10) and AKI substage A (HR = 3.19).

conclusionsSub-AKI defined/based on uCysC occurred in 20.2% of patients without AKI and was associated with a risk of death close to patients with AKI substage A. Urinary CysC-positive AKI substage B occurred in 50% of AKI patients and was more likely to have classical AKI stage 3 and was associated with the highest risk of mortality.

Indexed as

Acute kidney injuryCritically ill childrenMortalitySubclinical acute kidney injuryUrinary CysC

Identifiers

PMID36976367
PMCPMC10050666
OpenAlexW4361204721

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read54
Read underepoch 390

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.