Robotic-assisted surgery for endometrial cancer: a comparison of surgical and oncologic outcomes in patients with low and high BMI at an Indian tertiary care center.
Rama JoshiRashmi Rekha BoraTarini SonwaniPublished in: Journal of robotic surgery (2024)
The robotic-assisted surgery for endometrial cancer (EC) is becoming increasingly important, owing to the superior surgical outcomes. However, efficacy data from India is limited, particularly for older women who are obese. We undertook this study to compare the surgical outcomes of robotic-assisted surgery among Indian EC patients with a BMI of < 30 and ≥ 30 kg/m 2 . A retrospective chart review was conducted for the period of May 2016 to October 2020. Data on patient demographics, medical history, clinical characteristics, and perioperative outcomes were collected by a single senior surgeon, followed by statistical analysis. A total of 99 patients; 39 in the BMI group < 30 and 60 in the BMI group ≥ 30 kg/m 2 were included in the study. The mean age of the BMI groups < 30 and ≥ 30 kg/m 2 was 60.92 ± 10.43 and 58.90 ± 8.52 years respectively (P = 0.2944). The mean total operating time was slightly higher in the BMI group < 30 kg/m 2 (P = 0.8552) but the difference was not statistically significant. Similarly, the mean blood loss (P = 0.2041), length of hospital stays (P = 0.6564), early (P = 0.7758) and delayed complications (P = 0.1878) were less in the BMI group < 30 kg/m 2 but the difference was not statistically significant either. At a median follow-up of 22.3 months, the number of recurrences (5.13% vs 3.33%) and deaths (2.56% vs 1.67%) were more in BMI < 30 kg/m 2 group. Our study suggests that obese older women predisposed to multiple medical co-morbidities and surgical complications would especially benefit from robotic-assisted technology regardless of their BMI.
Keyphrases
- body mass index
- endometrial cancer
- weight gain
- minimally invasive
- healthcare
- metabolic syndrome
- end stage renal disease
- adipose tissue
- type diabetes
- chronic kidney disease
- prostate cancer
- risk factors
- newly diagnosed
- cardiac surgery
- acute coronary syndrome
- big data
- ejection fraction
- case report
- rectal cancer
- prognostic factors
- deep learning
- artificial intelligence
- skeletal muscle
- peritoneal dialysis