Is routine admission to a critical care setting following hyperthermic intraperitoneal chemotherapy for ovarian cancer necessary?

• Published in: European journal of surgical oncology Vol. 49; no. 12; p. 107084
• Main Authors: van Stein, Ruby M., Aronson, S. Lot, Sikorska, Karolina, Hendriks, Florine J., Hovinga, Els P., Houwink, Aletta P.I., Schutte, Peter F.E., Schooneveldt, Maaike S., De Kroon, Cor D., Sonke, Gabe S., van Driel, Willemien J.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.12.2023
• Subjects: Antineoplastic Combined Chemotherapy Protocols - therapeutic use; Combined Modality Therapy; Critical Care; Cytoreduction Surgical Procedures; Cytoreductive surgery; Female; Humans; Hyperthermia, Induced; Hyperthermic Intraperitoneal Chemotherapy; Ovarian cancer; Ovarian Neoplasms - surgery; Peritoneal Neoplasms - drug therapy; Retrospective Studies; Critical care; Hyperthermic intraperitoneal chemotherapy; Cytoreductive surgery; Ovarian cancer
• ISSN: 0748-7983; 1532-2157
• DOI: 10.1016/j.ejso.2023.107084

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. 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. 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. 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.