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Turrentine, F.E., Denlinger, C.E., Simpson, V.B., Garwood, R.A., Guerlain, S., Agrawal, A., et al. (2015) Morbidity, Mortality, Cost, and Survival Estimates of Gastrointestinal Anastomotic Leaks. Journal of the American College of Surgeons, 220, 195-206.
https://doi.org/10.1016/j.jamcollsurg.2014.11.002

has been cited by the following article:

• TITLE: Early Detection of Colonic Anastomotic Leakage in a Swine Model Using Continuous pH Monitoring

  AUTHORS: Nour Helwa, Manaswi Sharma, Manasvi Vanama, Diana Khater, Olivia Rennie, Youssef Helwa, Abdallah El-Falou, Joao Rezende-Neto

  KEYWORDS: Anastomotic Leak, StreamTM Platform, pH, Electrical Conductivity, Early Prediction

  JOURNAL NAME: Open Journal of Gastroenterology, Vol.15 No.12, December 25, 2025

  ABSTRACT: Background: Anastomotic leaks (AL) are a deadly postoperative complication. This study evaluated the efficacy of StreamTM Platform, a medical device designed to provide early prediction of AL using changes in peritoneal fluid pH and electrical conductivity (EC). Methods: StreamTM Platform was attached to the JP drain of 17 Yorkshire pigs, continuously measuring pH and EC or peritoneal effluent in a model of colorectal AL. Anastomotic leaks were surgically induced and confirmed through re-laparotomy. Results: Significant differences in pH were observed between experimental and sham animals two hours following leak induction via continuous measurements (P = 0.02857), at the 24-hour time point in reservoir fluid (P = 0.008), and during final peritoneal fluid collection at re-laparotomy (P = 0.024). Conclusion: This study illustrates the potential of continuous pH monitoring for early detection of anastomotic leaks, using a non-invasive technology—StreamTM Platform—in a model that closely resembles human physiology.