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Published on: February 15, 2022
Risk factors for predicting acute kidney injury in children with septic shock: a retrospective cohort study
Yu Fang1,2, Weihong Zheng1,2, Kepei Chen1,2
1Department of Pediatrics, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Insights
This study identified key risk factors for acute kidney injury (AKI) in children with septic shock, developing a predictive nomogram for early risk assessment and intervention. The nomogram demonstrated high accuracy in predicting sepsis-associated AKI (SA-AKI).
Area of Science:
- Pediatric Nephrology
- Critical Care Medicine
- Clinical Epidemiology
Background:
- Acute kidney injury (AKI) is a significant complication in pediatric septic shock.
- Risk factors for AKI in this vulnerable population are not well-established.
- Early identification and intervention are crucial for improving outcomes.
Purpose of the Study:
- To identify independent risk factors for sepsis-associated AKI (SA-AKI) in children with septic shock.
- To develop and validate a clinical predictive model (nomogram) for early SA-AKI risk assessment.
- To enhance the management of pediatric patients experiencing septic shock.
Main Methods:
- Retrospective analysis of clinical data from 180 pediatric patients with septic shock.
- Multivariate analysis to determine significant predictors of AKI.
- Development and validation of a clinical nomogram using R software and bootstrap resampling.
Main Results:
- The incidence of AKI was 44.4%. Significant predictors included greater height, positive random proteinuria, elevated procalcitonin, base excess, increased blood urea nitrogen, and prolonged prothrombin time.
- Early antibiotic use showed a protective effect.
- The developed nomogram achieved an AUC of 0.895, demonstrating high predictive accuracy, sensitivity (77.1%), and specificity (88.9%).
Conclusions:
- Identified risk factors enable timely interventions for pediatric septic shock patients.
- The validated nomogram is a valuable clinical tool for improving SA-AKI management.
- Early risk assessment and intervention can potentially enhance patient outcomes.
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.
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