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Can gastric intramucosal pH (pHi) predict outcome of paediatric cardiac surgery?

T Bichel1, A Kalangos, J C Rouge

  • 1Department of Anaesthesiology, University Hospital of Geneva, Switzerland.

Insights

Gastric tonometer monitoring of intramucosal pH (pHi) can predict postoperative complications in children after cardiac surgery. Lower pHi levels at surgery completion indicate higher risk for adverse outcomes.

Area of Science:

  • Pediatric Cardiac Surgery
  • Critical Care Medicine
  • Gastrointestinal Physiology

Background:

  • Hypothermic cardiopulmonary bypass (CPB) is used in pediatric cardiac surgery.
  • Monitoring splanchnic perfusion is crucial for predicting postoperative complications.
  • Intramucosal pH (pHi) is a marker of splanchnic perfusion.

Purpose of the Study:

  • To evaluate the use of gastric tonometer to estimate pHi intraoperatively.
  • To determine if pHi monitoring can predict early postoperative complications in children undergoing cardiac surgery.
  • To assess the relationship between pHi and adverse outcomes following CPB.

Main Methods:

  • Forty-two children undergoing cardiac surgery with hypothermic CPB were studied.
  • A gastric tonometer was used to measure intraoperative pHi.
  • Children were divided into two groups: those with (Group C) and without (Group NC) early postoperative complications.

Main Results:

  • Intramucosal acidosis was observed after aortic clamp removal and persisted post-CPB.
  • Group C had significantly lower pHi at surgery completion (7.13 +/- 0.04) compared to Group NC (7.31 +/- 0.001).
  • Longer bypass/aortic clamp times and lower core temperatures were noted in Group C.

Conclusions:

  • Intramucosal acidosis during and after CPB is associated with postoperative complications.
  • Lower intraoperative pHi levels are predictive of adverse outcomes in pediatric cardiac surgery patients.
  • Gastric tonometry is a sensitive, minimally invasive monitoring tool for critically ill children, potentially improving predictive value with automated analysis.

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