BACKGROUND: Operations are the mainstay of liver hydatid cyst (LHC) treatment. Operations are still associated with high morbidity and mortality because of specific postoperative complications (bile leaks, bilomas, deep bleeding, and deep suppurations) and deep abdominal complications (DAC). The aim of this study was to identify the predictive factors of DAC after LHC operation. STUDY DESIGN: We conducted a retrospective study of 672 patients with LHC treated at the Surgery Department "A" at Ibn Sina University Hospital, Rabat, Morocco. Specific morbidity (DAC) and 30 variables were assessed. Univariate and multivariate logistic regression were performed to identify predictive factors for DAC. An associated risk scoring system was developed. RESULTS: Six hundred sixty-four patients underwent operations. Mortality rate was 0.8% (n = 5) and DAC rate was 18.4% (n = 121). Five independent predictive factors of DAC after LHC operation were retained, ie, presence of cyst preoperative complications (odds ratio [OR] = 3.10; 95% CI, 1.85 to 5.17), 3 or more cysts in the liver (OR = 2.55; 95% CI, 1.42 to 4.59), thick pericyst (OR = 2.59; 95% CI, 1.27 to 5.29), biliary fistula (OR = 2.27; 95% CI, 1.38 to 3.72), and capitonnage alone as residual cavity management (OR = 2.23; 95% CI, 1.12 to 4.44). Multivariate model showed a good fit. Discriminating ability of the model was fair. In theoretical risk, scores ranged from 0 to 5. When the score was 2 or more, sensitivity of the scoring model was 80.3%, specificity was 58.5%, positive predictive value was 30.3%, and negative predictive value was 93%. CONCLUSIONS: Identification of these five factors will allow more appropriate therapeutic care after LHC operation.
BACKGROUND: Operations are the mainstay of liver hydatid cyst (LHC) treatment. Operations are still associated with high morbidity and mortality because of specific postoperative complications (bile leaks, bilomas, deep bleeding, and deep suppurations) and deep abdominal complications (DAC). The aim of this study was to identify the predictive factors of DAC after LHC operation. STUDY DESIGN: We conducted a retrospective study of 672 patients with LHC treated at the Surgery Department "A" at Ibn Sina University Hospital, Rabat, Morocco. Specific morbidity (DAC) and 30 variables were assessed. Univariate and multivariate logistic regression were performed to identify predictive factors for DAC. An associated risk scoring system was developed. RESULTS: Six hundred sixty-four patients underwent operations. Mortality rate was 0.8% (n = 5) and DAC rate was 18.4% (n = 121). Five independent predictive factors of DAC after LHC operation were retained, ie, presence of cyst preoperative complications (odds ratio [OR] = 3.10; 95% CI, 1.85 to 5.17), 3 or more cysts in the liver (OR = 2.55; 95% CI, 1.42 to 4.59), thick pericyst (OR = 2.59; 95% CI, 1.27 to 5.29), biliary fistula (OR = 2.27; 95% CI, 1.38 to 3.72), and capitonnage alone as residual cavity management (OR = 2.23; 95% CI, 1.12 to 4.44). Multivariate model showed a good fit. Discriminating ability of the model was fair. In theoretical risk, scores ranged from 0 to 5. When the score was 2 or more, sensitivity of the scoring model was 80.3%, specificity was 58.5%, positive predictive value was 30.3%, and negative predictive value was 93%. CONCLUSIONS: Identification of these five factors will allow more appropriate therapeutic care after LHC operation.
Authors: Concepción Gomez I Gavara; Rafael López-Andújar; Tatiana Belda Ibáñez; José M Ramia Ángel; Ángel Moya Herraiz; Francisco Orbis Castellanos; Eugenia Pareja Ibars; Fernando San Juan Rodríguez Journal: World J Gastroenterol Date: 2015-01-07 Impact factor: 5.742
Authors: Jose M Ramia; Francisco Ruiz-Gomez; Roberto De la Plaza; Pilar Veguillas; Jose Quiñones; Jorge García-Parreño Journal: World J Gastroenterol Date: 2012-02-14 Impact factor: 5.742
Authors: Christine M Budke; Hélène Carabin; Patrick C Ndimubanzi; Hai Nguyen; Elizabeth Rainwater; Mary Dickey; Rachana Bhattarai; Oleksandr Zeziulin; Men-Bao Qian Journal: Am J Trop Med Hyg Date: 2013-04-01 Impact factor: 2.345