Risk factors for predicting acute kidney injury in children with septic shock: a retrospective cohort study.

Background: Acute kidney injury (AKI) is a prevalent and severe complication of septic shock in children, yet data on its risk factors remain scarce. This study aims to identify key predictors for AKI in this population and develop a clinical model for early risk assessment. Methods: We conducted a...

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Publicado en:Pediatric Nephrology Vol. 40; no. 11; pp. 3563 - 3576
Autores principales: Fang, Yu, Zheng, Weihong, Chen, Kepei, Gao, Qiqi, Jin, Wenwen, Hu, Wei, Chen, Yu, Lin, Zhenlang, Pan, Guoquan, Lin, Wei
Formato: research tables/charts Journal Article
Publicado: Springer Nature Nov2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2025
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00467-025-06834-x
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        atl: Risk factors for predicting acute kidney injury in children with septic shock: a retrospective cohort study.
      aug:
        au:
          Fang, Yu
          Zheng, Weihong
          Chen, Kepei
          Gao, Qiqi
          Jin, Wenwen
          Hu, Wei
          Chen, Yu
          Lin, Zhenlang
          Pan, Guoquan
          Lin, Wei
        affil: https://ror.org/0156rhd17 Department of Pediatrics, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
      sug:
        subj:
          Kidney Failure, Acute Risk Factors
          Shock, Septic Complications
          Risk Assessment
          Early Diagnosis
          Human
          Prospective Studies
          Prediction Models
          Tertiary Health Care
          China
          Descriptive Statistics
          Proteinuria
          Calcitonin
          Blood Urea Nitrogen
          Prothrombin Time
          Antibiotics Therapeutic Use
          Confidence Intervals
          ROC Curve
          Sensitivity and Specificity
          Calibration
          Infant, Newborn
          Infant
          Child, Preschool
          Child
          Adolescence
          Retrospective Design
          Data Analysis Software
          Multiple Logistic Regression
          Multivariate Analysis
          T-Tests
          Mann-Whitney U Test
          Correlational Studies
          Funding Source
          Infant, Newborn: birth-1 month
          Infant: 1-23 months
          Child, Preschool: 2-5 years
          Child: 6-12 years
          Adolescent: 13-18 years
      ab: Background: Acute kidney injury (AKI) is a prevalent and severe complication of septic shock in children, yet data on its risk factors remain scarce. This study aims to identify key predictors for AKI in this population and develop a clinical model for early risk assessment. Methods: We conducted a retrospective analysis of clinical data from 180 children diagnosed with septic shock at a large tertiary hospital in China over 10 years. Multivariate analysis was performed to identify independent risk factors for AKI. Based on the results of the multivariate analysis, a clinical predictive nomogram for assessing the risk of sepsis-associated AKI (SA-AKI) in children with septic shock was established and validated using the "rms" package in R 4.3.0 software. Results: The incidence of AKI in children with septic shock was 44.4%, with significant predictors identified as greater height (95% CI 1.01–1.04), positive random proteinuria (95% CI 1.17–13.09), elevated procalcitonin levels (95% CI 1.00–1.04), base excess (95% CI 0.85–0.99), increased blood urea nitrogen levels (95% CI 1.03–1.22), and prolonged prothrombin time by ≥ 3 s (95% CI 1.13–11.43). Early use of antibiotics (95% CI 0.03–0.77) demonstrated a protective effect. The developed clinical predictive nomogram's ROC curve AUC was 0.895 (95% CI 0.836–0.955), with a sensitivity of 77.1% and specificity of 88.9%. It outperformed individual variables in predicting SA-AKI, and demonstrated good calibration and clinical utility as shown by the calibration and DCA curve. Internal validation by the bootstrap resampling method (1000 times) confirmed the model's accuracy with an AUC of 0.895 (95% CI 0.893–0.896). Conclusions: Recognizing these risk factors facilitates timely interventions for pediatric patients with septic shock. The nomogram serves as a valuable tool for clinicians, improving the management of AKI and potentially enhancing patient outcomes.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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