Clinical sub-phenotypes of acute kidney injury in children and their association with prognosis.
10.7499/j.issn.1008-8830.2408060
- Author:
Lian FENG
1
;
Min LI
;
Zhen JIANG
;
Jiao CHEN
;
Zhen-Jiang BAI
;
Xiao-Zhong LI
1
;
Guo-Ping LU
;
Yan-Hong LI
1
Author Information
1. Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu 215000, China.
- Publication Type:Journal Article
- Keywords:
Acute kidney injury;
Child;
Clinical sub-phenotype;
Multiple organ dysfunction syndrome;
Prognosis
- MeSH:
Humans;
Acute Kidney Injury/diagnosis*;
Prognosis;
Male;
Female;
Child;
Child, Preschool;
Phenotype;
Infant;
Logistic Models;
Adolescent
- From:
Chinese Journal of Contemporary Pediatrics
2025;27(1):47-54
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVES:To investigate the clinical sub-phenotype (SP) of pediatric acute kidney injury (AKI) and their association with clinical outcomes.
METHODS:General status and initial values of laboratory markers within 24 hours after admission to the pediatric intensive care unit (PICU) were recorded for children with AKI in the derivation cohort (n=650) and the validation cohort (n=177). In the derivation cohort, a least absolute shrinkage and selection operator (LASSO) regression analysis was used to identify death-related indicators, and a two-step cluster analysis was employed to obtain the clinical SP of AKI. A logistic regression analysis was used to develop a parsimonious classifier model with simplified metrics, and the area under the curve (AUC) was used to assess the value of this model. This model was then applied to the validation cohort and the combined derivation and validation cohort. The association between SPs and clinical outcomes was analyzed with all children with AKI as subjects.
RESULTS:In the derivation cohort, two clinical SPs of AKI (SP1 and SP2) were identified by the two-step cluster analysis using the 20 variables screened by LASSO regression, namely SPd1 group (n=536) and SPd2 group (n=114). The simplified classifier model containing eight variables (P<0.05) had an AUC of 0.965 in identifying the two clinical SPs of AKI (P<0.001). The validation cohort was clustered into SPv1 group (n=156) and SPv2 group (n=21), and the combined derivation and validation cohort was clustered into SP1 group (n=694) and SP2 group (n=133). After adjustment for confounding factors, compared with the SP1 group, the SP2 group had significantly higher incidence rates of multiple organ dysfunction syndrome and death during the PICU stay (P<0.001), and SP2 was significantly associated with the risk of death within 28 days after admission to the PICU (P<0.001).
CONCLUSIONS:This study establishes a parsimonious classifier model and identifies two clinical SPs of AKI with different clinical features and outcomes.The SP2 group has more severe disease and worse clinical prognosis.
