Related Experiment Video
Updated: Jun 8, 2025
06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
222
Association Between Two Muscle-Related Parameters and Postoperative Complications in Patients Undergoing Colorectal
Danyang Gao1, Huihui Miao1, Weixuan Sheng1
1From the Departments of Anesthesiology.
Anesthesia and Analgesia
|November 6, 2024
Summary
Myosteatosis, a decline in muscle density, is linked to increased postoperative complications in colorectal surgery patients. Preoperative CT scans can help identify patients at higher risk for these adverse events.
Area of Science:
- Oncology
- Radiology
- Surgery
Background:
- Investigating preoperative muscle parameters like L3 skeletal muscle index (SMI) and Hounsfield unit average calculation (HUAC) for muscle density.
- Examining associations with postoperative complications in colorectal tumor resection patients under general anesthesia.
Purpose of the Study:
- To determine if muscle mass and density predict postoperative complications after colorectal tumor resection.
- To hypothesize that muscle-related parameters are associated with the occurrence of postoperative complications.
Main Methods:
- Retrospective observational study of 317 adult patients undergoing colorectal tumor resection.
- Utilized CT scans within 3 months pre-surgery to calculate L3 SMI and HUAC.
- Multivariable logistic regression adjusted for demographics and intraoperative factors to assess complication associations.
Main Results:
- 80.1% had sarcopenia (low muscle mass) and 24.9% had myosteatosis (low muscle density).
- 42.6% of patients experienced postoperative complications.
- Myosteatosis was significantly associated with postoperative complications (OR, 1.8; P = .039).
Conclusions:
- Myosteatosis is significantly associated with postoperative complications, including severe ones (Clavien-Dindo grade ≥3), in colorectal surgery patients.
- Preoperative CT-based HUAC screening for myosteatosis can aid early identification of high-risk patients.
