Comparing CCI and POSSUM for Predicting Oncogynecologic Surgery Complications
Recruiting now
Conditions studied: Gynecologic Surgical Procedures, Risk Assessment, Perioperative Care
In brief
With the global rates of gynecologic cancers on the rise, optimizing perioperative care is imperative. Accurate risk prediction is essential for enhancing patient care, directing preoperative interventions, and facilitating informed decision-making in oncology. This research compares two widely-used risk assessment tools: the Charlson Comorbidity Index (CCI) and the Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM), in predicting perioperative outcomes. The CCI predominantly addresses comorbidities, providing simplicity and broad applicability, while POSSUM incorporates both physiological and operative factors for a more comprehensive risk assessment. Despite their application across various surgical specialties, the specific utility of these tools in onco-gynecologic surgery remains insufficiently explored. The study aims to evaluate the effectiveness of CCI and POSSUM in predicting perioperative complications, with a focus on the incidence of these complications, length of hospital stay, and 30-day mortality. The implementation of these risk tools may enhance multidisciplinary risk management, thus improving patient outcomes in gynecologic oncology surgery.
Key facts
- Study ID
- NCT07287280
- Run by
- Mahidol University
- People needed
- 300
- Starts
- 2025-09-01
- Expected to finish
- 2027-10-31
- Last updated by the study team
- 2025-12-17
Who can join
Age: 18 and older. Sex: female. Healthy volunteers: not accepted.
You may qualify if…
- Age > 18 years
- Patient underwent elective onco-gynecologic surgery
You may not qualify if…
- Patient required emergency surgery from any indication
- Patient chart that not contained primary outcome data eg. absent of the anesthetic record
Where it is running
- Faculty of Medicine Siriraj Hospital, Mahidol University — Bangkok, Thailand (enrolling)
Full record on ClinicalTrials.gov
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