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NCT Number: NCT07287280

Comparing CCI and POSSUM for Predicting Oncogynecologic Surgery Complications

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.

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Key information

Age range

18 year and older

Sex eligibility

Female

Study type

Observational

Primary location

About this study

Onco-gynecologic surgeries, including procedures for ovarian, cervical, uterine, and vulvar cancers, are complex and challenging due to both the technical intricacies of the surgeries and the often compromised health of cancer patients. These procedures carry significant perioperative risks, making optimization of perioperative care critical, especially as global cases of gynecological cancers rise, with millions affected annually. Accurate risk prediction is vital to improve patient outcomes, allowing surgeons and anesthesiologists to tailor preoperative interventions and intraoperative management. These strategies help in identifying high-risk patients, implementing enhanced monitoring, specific anesthetic techniques, or staged surgical approaches to mitigate potential complications.

Two prominent risk assessment tools used in surgical practice are the Charlson Comorbidity Index (CCI) and the Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM). The CCI, is a weighted index that considers the number and severity of comorbid conditions to predict mortality risk. Its simplicity and reliance on readily available clinical information have led to its widespread adoption in clinical and research settings. Studies have validated its predictive value across various surgical populations, including oncology patients, although its specific utility in onco-gynecologic surgeries needs further exploration.

In contrast, the POSSUM score offers a more comprehensive risk assessment by incorporating both physiological and operative factors. It includes preoperative variables like age and cardiac signs and considers operative factors like procedural complexity and blood loss. This dual approach provides a nuanced prediction of perioperative risk, useful across diverse surgical fields. Despite POSSUM's broad application, its effectiveness specifically in onco-gynecologic surgeries requires additional investigation to fully ascertain its predictive accuracy and utility.

Currently, our center conducts preoperative evaluations involving anesthesiologists and gynecologists, yet formal risk assessments using CCI or POSSUM have not been implemented. Incorporating these tools could enhance multidisciplinary risk management, involving anesthetic teams, ward nurses, gynecologic oncologists, and intensivists. By systematically evaluating patient history, these indices can promote effective interdisciplinary communication, significantly improve patient safety, and optimize surgical outcomes.

This study aims to compare CCI and POSSUM in predicting perioperative complications, including both anesthetic and surgical complications in onco-gynecologic surgery. Additionally, it seeks to report the incidence of complications, length of hospital stay, and 30-day mortality, providing valuable insights into optimizing patient care in this challenging field.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age > 18 years
  • Patient underwent elective onco-gynecologic surgery

Exclusion criteria

  • Patient required emergency surgery from any indication
  • Patient chart that not contained primary outcome data eg. absent of the anesthetic record

Treatment and study plan

CCI score

Other

Charlson comorbidity index included age and medical conditions

Other names: Charlson comorbidity index

POSSUM score

Other

POSSUM included physical status and laboratory investigation

Other names: Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity

Primary outcomes

  1. Comparison of CCI and POSSUM to predict perioperative complications

    Time frame: from the date of starting surgery to the date of hospital discharge, up to 30 days

    To compare the prediction of perioperative anesthetic and surgical morbidity by the Charlson-Comorbidity Index versus POSSUM score in patients undergoing elective onco-gynecological surgery

Secondary outcomes

  1. Intraoperative hypotension

    Time frame: Within 24 hours from starting of surgery

    Intraoperative complications related to anesthesia: intraoperative hypotension

  2. Quantity of intraoperative blood loss

    Time frame: Within 24 hours from starting of surgery

    Intraoperative blood loss estimated by anesthetic personnel

  3. Rate of blood transfusion

    Time frame: Within 24 hours from starting of surgery

    Intraoperative rate and amount of packed red cells blood transfusion and/or blood component

  4. Rate of vasopressor usage

    Time frame: from the time staring of surgery to the time of finishing surgery, up to 12 hours

    Intraoperative rate and amount of vasopressor usage

  5. Clavian-Dindo classification of surgical complications

    Time frame: from the date of starting surgery to the date of hospital discharge, up to 30 days

    Rate of surgical complications using Clavian-Dindo classification of surgical complications Grade 1 Treatment with simple medication Grade 2 Others medications from grade 1 Grade 3a Surgical intervention under local/regional anesthesia Grade 3b Surgical intervention under general anesthesia Grade 4a Need ICU with single organ dysfunction Grade 4b Need ICU with multiple organ dysfunction Grade 5 Death

  6. ICU admission

    Time frame: within 24 hours postoperative

    Rate of intensive care unit admission in the postoperative period

  7. Reoperation

    Time frame: within 24 hours postoperative

    Rate of reoperation

  8. Myocardial infarction or myocardial injury

    Time frame: from the date of starting surgery to the date of hospital discharge, up to 30 days

    Rate of postoperative myocardial infarction and myocardial injury after non-cardiac surgery (MINS)defines as an >1 fold-elevated cTn (>99th percentile of the upper reference limit) of presumed ischemic origin (excluding nonischemic etiologies such as pulmonary embolism, stroke, and sepsis) and is associated with adverse short- and long-term outcomes. (from the 2024 AHA/ACC/ACS/ASNC/HRS/SCA/ SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines)

  9. Acute kidney injury

    Time frame: from the date of starting surgery to the date of hospital discharge, up to 30 days

    Rate of acute kidney injury which defined follow the KDIGO clinical practice guidelines for acute kidney injury 2020

  10. Postoperative pulmonary complications

    Time frame: from surgery from the date of starting surgery to the date of hospital discharge, up to 30 days

    Rate of postoperative pulmonary complications which defined follow the European Perioperative clinical outcome (EPCO) definition for postoperative pulmonary complications

  11. Mortality rate

    Time frame: From the day of surgery to 30 days post operation

    30-day mortality

Study contacts

Contact information is provided by the study sponsor or research team.

Jitsupa Nithiuthai, M.D.

CONTACT

[email protected]

+66654536516

Patchareya Nivatpumin, M.D.

CONTACT

[email protected]

+66896662187

Sponsors and collaborators

Lead sponsor

Mahidol University

Other

Registry information

Official study title

A Comparison of the Charlson Comorbidity Index (CCI) vs POSSUM Score for Prediction of Perioperative Complications in Patients Undergoing Oncogynecologic Surgery

Important dates

Study start
2025
Primary completion
2027
Study completion
2027
First posted
Dec 17, 2025
Registry last updated
Dec 17, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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