Predictive factors of surgical complications after pelvic exenteration for gynecological malignancies: a large single-institution experience
	    		
		   		
		   			
		   		
	    	
    	- Author:
	        		
		        		
		        		
			        		Lucia TORTORELLA
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Cintoni MARCO
			        		
			        		;
		        		
		        		
		        		
			        		Matteo LOVERRO
			        		
			        		;
		        		
		        		
		        		
			        		Conte CARMINE
			        		
			        		;
		        		
		        		
		        		
			        		Eleonora PERSICHETTI
			        		
			        		;
		        		
		        		
		        		
			        		Nicolò BIZZARRI
			        		
			        		;
		        		
		        		
		        		
			        		Costantini BARBARA
			        		
			        		;
		        		
		        		
		        		
			        		Santullo FRANCESCO
			        		
			        		;
		        		
		        		
		        		
			        		Nazario FOSCHI
			        		
			        		;
		        		
		        		
		        		
			        		Valerio GALLOTTA
			        		
			        		;
		        		
		        		
		        		
			        		Giacomo AVESANI
			        		
			        		;
		        		
		        		
		        		
			        		Vito CHIANTERA
			        		
			        		;
		        		
		        		
		        		
			        		Alfredo ERCOLI
			        		
			        		;
		        		
		        		
		        		
			        		Francesco FANFANI
			        		
			        		;
		        		
		        		
		        		
			        		Anna FAGOTTI
			        		
			        		;
		        		
		        		
		        		
			        		Maria Cristina MELE
			        		
			        		;
		        		
		        		
		        		
			        		Stefano RESTAINO
			        		
			        		;
		        		
		        		
		        		
			        		Salvatore Gueli ALLETTI
			        		
			        		;
		        		
		        		
		        		
			        		Giovanni SCAMBIA
			        		
			        		;
		        		
		        		
		        		
			        		Giuseppe VIZZIELLI
			        		
			        		
		        		
		        		
		        		
			        		
			        		Author Information
			        		
 - Publication Type:Original Article
 - From:Journal of Gynecologic Oncology 2024;35(1):e4-
 - CountryRepublic of Korea
 - Language:English
 - 
		        	Abstract:
			       	
			       		
				        
				        	 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 postoperative complications. Pre-operative assessment of comorbidities and patient health status are crucial to better select the right candidate for this type of surgery. 
            