Predictors of Extended Intensive Care Unit Utilization After Ovarian Cancer Surgery

Area of Science:

• Oncology
• Critical Care Medicine
• Surgical Outcomes

Background:

• Ovarian cancer surgery often necessitates intensive care unit (ICU) admission due to complex procedures and complication risks.
• Predicting prolonged ICU stays is crucial for optimizing patient care and resource management.
• Identifying factors influencing ICU duration can improve postoperative management strategies.

Purpose of the Study:

• To identify predictive factors for extended intensive care unit (ICU) stays in patients undergoing surgery for ovarian cancer.
• To analyze demographic, clinical, and perioperative variables associated with ICU length of stay.
• To inform preoperative counseling and postoperative care planning for ovarian cancer patients.

Main Methods:

• Retrospective review of 74 ovarian cancer patients admitted to the ICU between January 2004 and December 2023.
• Analysis of patient demographics, clinical characteristics, and perioperative variables.
• Statistical analysis to determine factors associated with ICU stay duration.

Main Results:

• 36.5% of patients experienced an ICU stay of 48 hours or longer.
• Higher Body Mass Index (BMI) and longer surgery duration were associated with prolonged ICU stays.
• Increased body temperature at the end of surgery correlated with a shorter ICU stay.

Conclusions:

• Findings offer insights for preoperative counseling and resource allocation in ovarian cancer care.
• Higher BMI and longer surgical times are potential indicators for extended ICU needs.
• Further research is needed to validate these predictors and explore other influencing factors for prolonged ICU stays.