Acute Kidney Injury in Pediatric Acute Respiratory Distress Syndrome

Shubhi Kaushik1,2, Sindy Villacres3, Ruth Eisenberg2

  • 1Division of Pediatric Critical Care Medicine, 37292Children's Hospital at Montefiore, Bronx, NY, USA.

Insights

Acute kidney injury (AKI) affects 64% of children with acute respiratory distress syndrome (ARDS), leading to longer hospital stays. Early identification of AKI in ARDS patients is crucial for better outcomes.

Area of Science:

  • Pediatric Critical Care Medicine
  • Nephrology
  • Pulmonology

Background:

  • Acute respiratory distress syndrome (ARDS) is a severe lung condition in children.
  • Acute kidney injury (AKI) is a common complication in critically ill children.
  • The relationship between ARDS and AKI in pediatric populations requires further investigation.

Purpose of the Study:

  • To determine the incidence and risk factors of AKI in children with ARDS.
  • To evaluate the impact of AKI on patient outcomes, including hospital stay and mortality.
  • To identify predictors for AKI in pediatric ARDS patients.

Main Methods:

  • A retrospective, single-center study was conducted at a tertiary care children's hospital.
  • Included were pediatric patients (<18 years) with ARDS requiring invasive mechanical ventilation (MV) between July 2010 and July 2013.
  • AKI was diagnosed using the p-RIFLE criteria.

Main Results:

  • Of 115 children with ARDS, 74 (64%) developed AKI.
  • AKI was associated with lower Pao2/Fio2 ratio, increased need for inotropes and diuretics, and higher ventilatory support requirements (higher oxygenation index, PEEP, mean airway pressure, Fio2).
  • Patients with AKI experienced significantly longer hospital stays but not increased ICU stay, duration of MV, or mortality. A multivariable model predicted AKI with an AUC of 0.75.

Conclusions:

  • Pediatric patients with ARDS exhibit a high incidence of AKI.
  • The presence of AKI in pediatric ARDS is linked to increased morbidity, particularly prolonged hospitalization.
  • Predictive models incorporating ventilatory parameters and clinical factors show promise for early AKI detection in this population.
Abstract

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