The REAL (REctal Anastomotic Leak) score for prediction of anastomotic leak after rectal cancer surgery.

BACKGROUND: Anastomotic leak after rectal cancer surgery is a severe complication associated with poorer oncologic outcome and quality of life. Preoperative assessment of the risk for anastomotic leak is a key component of surgical planning, including the opportunity to create a defunctioning stoma. OBJECTIVE: The purpose of this study was to identify and quantify the risk factors for anastomotic leak to minimize risk by either not restoring bowel continuity or protecting the anastomosis with a temporary diverting stoma. METHODS: Potentially relevant studies were identified from the following databases: PubMed, Embase and Cochrane Library. This meta-analysis included studies on transabdominal resection for rectal cancer that reported data about anastomotic leak. The risk for anastomotic leak after rectal cancer surgery was investigated. Preoperative, intraoperative, and postoperative factors were extracted and used to compare anastomotic leak rates. All variables demonstrating a p value < 0.1 in the univariate analysis were entered into a multivariate logistic regression model to determine the risk factors for anastomotic leak. RESULTS: Twenty-six centers provided individual data on 9735 patients. Selected preoperative covariates (time before surgery, age, gender, smoking, previous abdominal surgery, BMI, diabetes, ASA, hemoglobin level, TNM classification stage, anastomotic distance) were used as independent factors in a logistic regression model with anastomotic leak as dependent variable. With a threshold value of the receiver operating characteristics (ROC) curve corresponding to 0.0791 in the training set, the area under the ROC curve (AUC) was 0.585 (p < 0.0001). Sensitivity and specificity of the model's probability > 0.0791 to identify anastomotic leak were 79.1% and 32.9%, respectively. Accuracy of the threshold value was confirmed in the validation set with 77.8% sensitivity and 35.2% specificity. CONCLUSIONS: We trust that, with further refinement using prospective data, this nomogram based on preoperative risk factors may assist surgeons in decision making. The score is now available online ( http://www.real-score.org ).

Appropriateness of early breast cancer management in relation to patient and hospital characteristics: a population based study in Northern Italy.

Administrative data may provide valuable information for monitoring the quality of care at population level and offer an efficient way of gathering data on individual patterns of care, and also to shed light on inequalities in access to appropriate medical care. The aim of the study was to investigate the role of patient and hospital characteristics in the initial treatment of early breast cancer using administrative data. Incident breast cancer patients were identified from hospital discharge records and linked to the radiotherapy outpatient database during 2000-2004 in the Piedmont region of Northwestern Italy. Women treated with breast-conserving surgery followed by radiotherapy (BCS + RT) were compared to those treated with BCS without radiotherapy (BCS w/o RT) or mastectomy using multinomial logistic regression models. Out of 16,022 incident cases, 46.2% received BCS + RT, 20.3% received BCS w/o RT, and 33.5% received a mastectomy. Compared to BCS + RT, the factors associated with BCS w/o RT were: increased age (OR = 1.54; 95% CI = 1.29-1.85, for ages 70-79 vs. <50), being unmarried (1.24; 1.13-1.36), presence of co-morbidities (1.32; 1.10-1.58), being treated at hospitals with low surgical volume (1.31; 1.07-1.60 for hospitals with less than 50 vs. > or =150 interventions/year), and living far from radiotherapy facilities (1.75; 1.39-2.20 for those at a distance of >45 min). These same factors were also associated with mastectomy. During the 5-year period observed, there was a trend of reduced probability of receiving a mastectomy (0.70; 0.56-0.88 for 2004 vs. 2000). The presence or absence of nodal involvement was positively associated with mastectomy (2.28; 1.83-2.85) and negatively associated with BCS w/o RT (0.65; 0.56-0.76). After adjustment for potential confounders, education level did not show any association with the type of treatment. Social and geographical factors, in addition to hospital specialization, should be considered to reduce inappropriateness of care for breast cancer.