Why the study?
The study was conducted to evaluate pre-operative predictors of early severe complications in patients with gynecological malignancy undergoing pelvic exenteration.
Pre-operative low hemoglobin and the presence of multiple comorbidities are independent predictors of early severe complications after pelvic exenteration for gynecological malignancies.
Pre-operative factors associated with severe complications after pelvic exenteration; leaves open need for prospective validation before guiding selection.
OBJECTIVE: To evaluate pre-operative predictors of early (<30 days) severe complications (grade Dindo 3+) in patients with gynecological malignancy submitted to pelvic exenteration (PE). METHODS: We retrospectively analyzed 129 patients submitted to surgery at Fondazione Policlinico Gemelli between 2010 and 2019. We included patients affected by primary or recurrent/persistent cervical, endometrial, or vulvar/vaginal cancers. Post-operative complications were graded according to the Dindo classification. Logistic regression was used to analyze potential predictors of complications. RESULTS: We performed 63 anterior PE, 10 posterior PE, and 56 total PE. The incidence of early severe post-operative complications was 27.9% (n=36), and the early mortality rate was 2.3% (n=3). More frequent complications were related to the urinary diversion and intestinal surgery. In univariable analysis, hemoglobin ≤10 g/dL (odds ratio [OR]=4.2; 95% confidence interval [CI]=1.65-10.7; p=0.003), low albumin levels (OR=3.9; 95% CI=1.27-12.11; p=0.025), diabetes (OR=4.15; 95% CI=1.22-14.1; p=0.022), 2+ comorbidities at presentation (OR=5.18; 95% CI=1.49-17.93; p=0.012) were predictors of early severe complications. In multivariable analysis, only low hemoglobin and comorbidities at presentation were independent predictors of complications. CONCLUSION: Pelvic exenteration is an aggressive surgery characterized by a high rate of post-operative complications. Pre-operative assessment of comorbidities and patient health status are crucial to better select the right candidate for this type of surgery.
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Tortorella et al. (2023) studied this question.
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