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Updated: Jul 14, 2025

Quantitation of Intra-peritoneal Ovarian Cancer Metastasis
Published on: July 18, 2016
Is routine admission to a critical care setting following hyperthermic intraperitoneal chemotherapy for ovarian
Ruby M van Stein1, S Lot Aronson2, Karolina Sikorska3
1Dept. of Gynecologic Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, the Netherlands.
Introduction:
Hyperthermic intraperitoneal chemotherapy (HIPEC) is increasingly being used in patients with stage III ovarian cancer undergoing interval cytoreductive surgery (CRS). It is uncertain whether routine postoperative admission to a critical care setting after CRS-HIPEC is necessary. This study aims to estimate the incidence of patients requiring critical care, and to create a prediction model to identify patients who may forego admission to a critical care setting.
Methods:
We analyzed 154 patients with primary ovarian cancer undergoing interval CRS-HIPEC at two Dutch centers between 2007 and 2021. Patients were routinely admitted to a critical care setting for 12-24 h. Patients that received critical support as defined by pre-specified definitions were retrospectively identified. Logistic regression analysis with backward selection was used to predict the need for critical care and the model was validated using bootstrapping.
Results:
Thirty-eight percent of patients received postoperative critical care, consisting mainly of hemodynamic interventions. Independent predictors of critical care were blood loss, norepinephrine dose during surgery, and age (bootstrapped AUC = 0.76). Using a probability cut-off of 20%, one-third of patients are defined as low-risk for requiring critical care, with a negative predictive value of 0.88.
Conclusions:
The majority of patients,primarily undergoing low to intermediate complexity surgeries, did not receive critical care interventions after CRS-HIPEC. Selective admission to a critical care setting may be warranted and its feasibility and safety needs to be evaluated prospectively. Our prediction model can help identify patients in whom admission to a critical care setting may be omitted. Hospital costs and burden on critical care units will benefit from patient selection.
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