To investigate whether the ratio between metastatic and examined lymph nodes (N ratio) is a better prognostic factor as compared with traditional staging systems in patients with gastric cancer regardless of the extension of lymph node dissection. We retrospectively reviewed the data of 1853 patients who underwent radical resection for gastric carcinoma at 6 Italian centers. Patients with >15 (group 1, n = 1421) and those with ≤15 (group 2, n = 432) lymph nodes examined were separately analyzed. N ratio categories (N ratio 0, 0%; N ratio 1, 1%–9%; N ratio 2, 10%–25%; N ratio 3, >25%) were determined by the best cut-off approach. After a median follow-up of 45.5 months (range, 4–182 months), the 5-year overall survival of N0, N1, and N2 patients of group 1 versus group 2 was 83.4% versus 74.2% (P = 0.0026), 54.3% versus 44.3% (P = 0.018), and 32.7% versus 14.7% (P = 0.004), respectively, suggesting that a low number of excised lymph nodes can lead to the understaging of patients. N ratio identified subsets of patients with significantly different survival rates within N1 and N2 stages in both groups. At multivariate analysis, the N ratio (but not N stage) was retained as an independent prognostic factor both in group 1 and group 2 (HR for N ratio 1, N ratio 2, and N ratio 3 = 1.67, 2.96, and 6.59, and 1.56, 2.68, and 4.28, respectively). In our series, the implementation of N ratio led to the identification of subgroups of patients prognostically more homogeneous than those classified by the TNM system. N ratio is a simple and reproducible prognostic tool that can stratify patients with gastric cancer also in case of limited lymph node dissection. These data may represent the rational for improving the prognostic power of current UICC TNM staging system and ultimately the selection of patients who may most benefit from adjuvant treatments.

The aim of this prospective multicenter study was to define a scoring system for the prediction of tumor recurrence after potentially curative surgery for gastric cancer. The estimation of the risk of recurrence in individual patient may be relevant in clinical practice, to apply adjuvant therapies after surgery, and plan an adequate follow-up program. Only a few studies, most of which were retrospective or performed on a limited number of patients, have developed a prognostic score in patients with gastric cancer. A total of 536 patients who underwent UICC R0 resection between 1988 and 1998 at 3 surgical departments in Italy were considered. All patients were followed up using a standard protocol after discharge from the hospital. The mean follow-up period was 56 ± 44 months, and 94 ± 29 months for surviving patients. The scoring system was calculated on the basis of a logistic regression model, where the presence of the recurrence was the dependent variable, and clinicopathologic variables were the covariates. Recurrence occurred in 272 of 536 patients (50.7%). The scoring system for the prediction of the risk in individual cases gave values ranging from 1.4 to 99.9; the model distributed most cases in the extremes of the range. The risk of recurrence increased remarkably with score values; it was only 5% in patients with a score below 10, up to 95.4% in patients with a score of 91 to 100. No recurrence was observed in 43 patients with a score below 4, whereas all of the 56 patients with a score over 97 presented a recurrence. The model correctly predicted recurrence in 227 of 272 patients (sensitivity, 83.5%), whereas the absence of recurrence was correctly predicted in 214 of 264 patients (specificity, 81.1%); the overall accuracy was 82.2%. Prognostic score was clearly superior to UICC tumor stage in predicting recurrence. The high effectiveness of the score was confirmed in preliminary data of a validation study. The scoring system obtained with a regression model on the basis of our follow-up data is useful for defining subgroups of patients at a very low or very high risk of tumor recurrence after radical surgery for gastric cancer. Final results of the validation study are essential for a clinical application of the model.

To validate a new practical Sepsis Severity Score for patients with complicated intra-abdominal infections (cIAIs) including the clinical conditions at the admission (severe sepsis/septic shock), the origin of the cIAIs, the delay in source control, the setting of acquisition and any risk factors such as age and immunosuppression. The WISS study (WSES cIAIs Score Study) is a multicenter observational study underwent in 132 medical institutions worldwide during a four-month study period (October 2014-February 2015). Four thousand five hundred thirty-three patients with a mean age of 51.2 years (range 18–99) were enrolled in the WISS study. Univariate analysis has shown that all factors that were previously included in the WSES Sepsis Severity Score were highly statistically significant between those who died and those who survived (p < 0.0001). The multivariate logistic regression model was highly significant (p < 0.0001, R2 = 0.54) and showed that all these factors were independent in predicting mortality of sepsis. Receiver Operator Curve has shown that the WSES Severity Sepsis Score had an excellent prediction for mortality. A score above 5.5 was the best predictor of mortality having a sensitivity of 89.2 %, a specificity of 83.5 % and a positive likelihood ratio of 5.4. WSES Sepsis Severity Score for patients with complicated Intra-abdominal infections can be used on global level. It has shown high sensitivity, specificity, and likelihood ratio that may help us in making clinical decisions.