Evidence map›Paper›PMID 35799300›Full record

Observational studyCritical care (London, England)2022

Comparison of diagnostic criteria for acute kidney injury in critically ill children: a multicenter cohort study.

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

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

29 citing papers in PubMed, 3 syntheses or guidelines 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

11 authors.

Yuxian Kuai *Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Min Li *Pediatric Intensive Care Unit, Anhui Provincial Children's Hospital, Hefei, Anhui Province, China.
Jiao ChenPediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Zhen JiangPediatric Intensive Care Unit, Xuzhou Children's Hospital, Xuzhou, Jiangsu province, China.
Zhenjiang BaiPediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Hui HuangDepartment 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.

Funding

National Natural Science Foundation of China 81971432Science and Technology Support Program of Jiangsu Province BE2020660
6 · The paper itself

Abstract

backgroundSubstantial interstudy heterogeneity exists in defining acute kidney injury (AKI) and baseline serum creatinine (SCr). This study assessed AKI incidence and its association with pediatric intensive care unit (PICU) mortality under different AKI and baseline SCr definitions to determine the preferable approach for diagnosing pediatric AKI.

methodsIn this multicenter prospective observational cohort study, AKI was defined and staged according to the Kidney Disease: Improving Global Outcome (KDIGO), modified KDIGO, and pediatric reference change value optimized for AKI (pROCK) definitions. The baseline SCr was calculated based on the Schwartz formula or estimated as the upper normative value (NormsMax), admission SCr (AdmSCr) and modified AdmSCr. The impacts of different AKI definitions and baseline SCr estimation methods on AKI incidence, severity distribution and AKI outcome were evaluated.

resultsDifferent AKI definitions and baseline SCr estimates led to differences in AKI incidence, from 6.8 to 25.7%; patients with AKI across all definitions had higher PICU mortality ranged from 19.0 to 35.4%. A higher AKI incidence (25.7%) but lower mortality (19.0%) was observed based on the Schwartz according to the KDIGO definition, which however was overcome by modified KDIGO (AKI incidence: 16.3%, PICU mortality: 26.1%). Furthermore, for the modified KDIGO, the consistencies of AKI stages between different baseline SCr estimation methods were all strong with the concordance rates > 90.0% and weighted kappa values > 0.8, and PICU mortality increased pursuant to staging based on the Schwartz. When the NormsMax was used, the KDIGO and modified KDIGO led to an identical AKI incidence (13.6%), but PICU mortality did not differ among AKI stages. For the pROCK, PICU mortality did not increase pursuant to staging and AKI stage 3 was not associated with mortality after adjustment for confounders.

conclusionsThe AKI incidence and staging vary depending on the definition and baseline SCr estimation method used. The modified KDIGO definition based on the Schwartz method leads AKI to be highly relevant to PICU mortality, suggesting that it may be the preferable approach for diagnosing AKI in critically ill children and provides promise for improving clinicians' ability to diagnose pediatric AKI.

Indexed as

Acute Kidney InjuryCritical IllnessChildCohort StudiesCreatinineHumansProspective StudiesRetrospective StudiesSeverity of Illness IndexTime FactorsCreatinineAcute kidney injuryConsensus definitionCritically ill childrenSerum creatinine

Identifiers

PMID35799300
PMCPMC9264539

What OpenQuestion holds

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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.