Sarcopenia and Postoperative Complications in Ovarian Cancer
Author Information
Author(s): Su Shuyue, Shao Rongrong, Sun Mengxiao, Bai Jingying, Jiang Haote, Zhang Yuyang
Primary Institution: First Affiliated Hospital of Wenzhou Medical University
Hypothesis
Can sarcopenia diagnosed by CT scans predict postoperative complications in patients with advanced epithelial ovarian cancer?
Conclusion
Sarcopenia diagnosed by CT analysis may help predict postoperative complications in patients with advanced epithelial ovarian cancer.
Supporting Evidence
- Sarcopenia was observed in 24 patients (17.27%) with advanced epithelial ovarian cancer.
- The sarcopenia group had a higher incidence of postoperative complications (62.50% vs 42.61%).
- Multivariate analysis confirmed sarcopenia as an independent predictor of complications.
Takeaway
This study found that patients with low muscle mass (sarcopenia) are more likely to have problems after surgery for ovarian cancer.
Methodology
Patients with ovarian cancer who underwent surgery were analyzed for sarcopenia using CT scans, and logistic regression was used to identify risk factors for complications.
Potential Biases
Potential bias due to the retrospective nature and exclusion of patients with incomplete data.
Limitations
The study was retrospective and relied on CT scans for sarcopenia diagnosis, which may not capture all relevant clinical factors.
Participant Demographics
Mean age of participants was 58.52 years, with a median BMI of 22.89 kg/m².
Statistical Information
P-Value
0.032
Confidence Interval
1.371–14.187
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website