Background Resection margin (RM) involvement is associated with negative prognosis after gastrectomy. Intraoperative frozen section (IFS) analysis allows radical resection to be achieved in a single operation but is timeconsuming and resource-consuming. The aim of this study was to assess risk factors associated with RM involvement to identify patients who would benefit from IFS analysis. Methods We retrospectively analyzed patients who underwent gastrectomy with curative intent for gastric or esophagogastric junction (EGJ) cancer from 2000 to 2014 in six Italian hospitals. RM status was assessed by IFS analysis and/or definitive histopathology examination. A set of 21 potential risk factors were compared in a multivariate analysis between patients with positive RMs on IFS analysis or definitive histopathology examination and a control cohort of similar patients with negative RMs, with the samples stratified into three subgroups (T1, T2-T4 Lauren intestinal pattern, T2-T4 Lauren diffuse/mixed pattern). Results One hundred forty-five patients had positive RMs. Survival was significantly worse in positive RM patients than in negative RM patients (89.5 months vs 28.9 months). Multivariate analysis showed that in T1 cancers a margin distance of less than 2 cm is a risk factor for RM involvement (odds ratio 15.7), in T2-T4 intestinal pattern cancers, serosa invasion (odds ratio 6.0), EGJ location (odds ratio 4.1), and a margin distance of less than 3 cm (odds ratio 4.0) are independent risk factors, and in T2-T4 diffuse/mixed pattern cancers, lymphatic infiltration (odds ratio 4.2), tumor diameter greater than 4 cm (odds ratio 3.5), EGJ location (odds ratio 2.8), and serosa invasion (odds ratio 2.2) are independent risk factors. Conclusions Survival after gastrectomy is negatively affected by positive RMs. IFS analysis should be routinely used in patients with a high risk of positive RMs, especially in diffuse pattern cancers.
Background
The benefits of centralization of pancreatic surgery have been documented, but policy differs between countries. This study aimed to model various centralization criteria for their effect on a nationwide cohort.
Methods
Data on all pancreatic resections performed between 2014 and 2016 were obtained from the Italian Ministry of Health. Mortality was assessed for different hospital volume categories and for each individual facility. Observed mortality and risk‐standardized mortality rate (RSMR) were calculated. Various models of centralization were tested by applying volume criteria alone or in combination with mortality thresholds.
Results
A total of 395 hospitals performed 12 662 resections; 305 hospitals were in the very low‐volume category (mean 2·6 resections per year). The nationwide mortality rate was 6·2 per cent, increasing progressively from 3·1 per cent in very high‐volume to 10·6 per cent in very low‐volume hospitals. For the purposes of centralization, applying a minimum volume threshold of at least ten resections per year would lead to selection of 92 facilities, with an overall mortality rate of 5·3 per cent. However, the mortality rate would exceed 5 per cent in 48 hospitals and be greater than 10 per cent in 17. If the minimum volume were 25 resections per year, the overall mortality rate would be 4·7 per cent in 38 facilities, but still over 5 per cent in 17 centres and more than 10 per cent in five. The combination of a volume requirement (at least 10 resections per year) with a mortality threshold (maximum RSMR 5 or 10 per cent) would allow exclusion of facilities with unacceptable results, yielding a lower overall mortality rate (2·7 per cent in 45 hospitals or 4·2 per cent in 76 respectively).
Conclusion
The best performance model for centralization involved a threshold for volume combined with a mortality threshold.
Hypothermic machine perfusion (HPM) grants a better postoperative outcome in transplantation of organs procured from extended criteria donors (ECDs) and donors after cardiac death (DCD). So far, the only available parameter for outcome prediction concerning those organs is pretransplant biopsy score. The aim of this study is to evaluate whether renal resistance (RR) trend during HPM may be used as a predictive marker for post-transplantation outcome. From December 2015 to present, HMP has been systematically applied to all organs from ECDs and DCD. All grafts underwent pretransplantation biopsy evaluation using Karpinski's histological score. Only organs that reached RR value ≤1.0 within 3 hours of perfusion were transplanted. Single kidney transplantation (SKT) or double kidney transplantation (DKT) were performed according to biopsy score results. Sixty-five HMPs were performed (58 from ECDs and 7 from DCD/ECMO donors). Fifteen kidneys were insufficiently reconditioned (RR > 1) and were therefore discarded. Forty-nine kidneys were transplanted, divided between 21 SKT and 14 DKT. Overall primary nonfunction (PNF) and delayed graft function (DGF) rate were 2.9 and 17.1%, respectively. DGF were more common in kidneys from DCD (67 vs. 7%; P = 0.004). Biopsy score did not correlate with PNF/DGF rate (P = 0.870) and postoperative creatinine trend (P = 0.796). Recipients of kidneys that reached RR ≤ 1.0 within 1 hour of HMP had a lower PNF/DGF rate (11 vs. 44%; P = 0.033) and faster serum creatinine decrease (POD10 creatinine: 1.79 mg/dL vs. 4.33 mg/dL; P = 0.019). RR trend is more predictive of post-transplantation outcome than biopsy score. Hence, RR trend should be taken into account in the pretransplantation evaluation of the organs.
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