Actively Recruiting
Comparing CCI and POSSUM for Predicting Oncogynecologic Surgery Complications
Led by Mahidol University · Updated on 2025-12-17
300
Participants Needed
1
Research Sites
112 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Comparing CCI and POSSUM for Predicting Oncogynecologic Surgery Complications
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age > 18 years
- Patient underwent elective onco-gynecologic surgery
You will not qualify if you...
- Patient required emergency surgery from any indication
- Patient chart does not contain primary outcome data such as anesthetic record
AI-Screening
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Trial Site Locations
Total: 1 location
1
Faculty of Medicine Siriraj Hospital, Mahidol University
Bangkok, Thailand, 10700
Actively Recruiting
Research Team
P
Patchareya Nivatpumin, M.D.
CONTACT
J
Jitsupa Nithiuthai, M.D.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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