Incidence and comparative outcomes of periampullary cancer: A population-based analysis demonstrating improved outcomes and increased use of adjuvant therapy from 2004 to 2012

Background and Objectives Periampullary adenocarcinoma (PAC) is stratified anatomically: ampullary adenocarcinoma (AA), distal cholangiocarcinoma (DCC), duodenal adenocarcinoma (DA), and pancreatic ductal adenocarcinoma (PDAC). We aimed to determine differences in incidence, prognosis, and treatment in stage-matched PAC patients in a longitudinal study. Methods PAC patients were identified in The National Cancer Database from 2004 to 2012. Clinicopathological variables were compared between subtypes. Covariate-adjusted treatment use and OS were compared. Results The 116 705 patients with PAC were identified: 1320 (9%) AA, 3732 (3%) DCC, 7142 (6%) DA, and 95 511 (82%) PDAC. DA, DCC, and PDAC were associated with worse survival compared with AA (hazard ratio [HR], 1.10; 95% CI, 1.1-1.1; HR, 1.50; 95% CI, 1.4-1.6, and HR, 1.90; 95% CI, 1.8-1.9). Among resected patients, DA was associated with improved survival compared with AA (HR, 0.70; 95% CI, 0.67-0.75); DCC and PDAC were associated with worse survival (HR, 1.41; 95% CI, 1.31-1.53 and HR, 2.041; 95% CI, 1.07-2.12). Resected AA, PDAC, and DA, but not DCC, demonstrated significantly improved survival over the studied period. While all patients had increased adjuvant therapy (AT) receipt over time (P < 0.001), only patients with PDAC had increased neoadjuvant therapy (NAT) receipt (P < 0.001). Conclusion Resected PDAC, AA, and DA were associated with clinically significant improved survival over time, mirroring a concurrent associated increased receipt of AT

Model to predict major complications following liver resection for HCC in patients with metabolic syndrome

Background: Metabolic syndrome (MS) is rapidly growing as risk factor for HCC. Liver resection for HCC in patients with MS is associated with increased postoperative risks. There are no data on factors associated with postoperative complications. Aims: The aim was to identify risk factors and develop and validate a model for postoperative major morbidity after liver resection for HCC in patients with MS, using a large multicentric Western cohort. Materials and methods: The univariable logistic regression analysis was applied to select predictive factors for 90 days major morbidity. The model was built on the multivariable regression and presented as a nomogram. Performance was evaluated by internal validation through the bootstrap method. The predictive discrimination was assessed through the concordance index. Results: A total of 1087 patients were gathered from 24 centers between 2001 and 2021. Four hundred and eighty-four patients (45.2%) were obese. Most liver resections were performed using an open approach (59.1%), and 743 (68.3%) underwent minor hepatectomies. Three hundred and seventy-six patients (34.6%) developed postoperative complications, with 13.8% major morbidity and 2.9% mortality rates. Seven hundred and thirteen patients had complete data and were included in the prediction model. The model identified obesity, diabetes, ischemic heart disease, portal hypertension, open approach, major hepatectomy, and changes in the nontumoral parenchyma as risk factors for major morbidity. The model demonstrated an AUC of 72.8% (95% CI: 67.2%-78.2%) (https://childb.shinyapps.io/NomogramMajorMorbidity90days/). Conclusions: Patients undergoing liver resection for HCC and MS are at high risk of postoperative major complications and death. Careful patient selection, considering baseline characteristics, liver function, and type of surgery, is key to achieving optimal outcomes

Recurrence and tumor-related death after resection of hepatocellular carcinoma in patients with metabolic syndrome.

BACKGROUND &amp; AIMS: Metabolic syndrome (MS) is a growing epidemic and a risk factor for the development of hepatocellular carcinoma (HCC). This study investigated the long-term outcomes of liver resection (LR) for HCC in patients with MS. Rates, timing, patterns, and treatment of recurrences were investigated, and cancer-specific survivals were assessed. METHODS: Between 2001 and 2021, data from 24 clinical centers were collected. Overall survival (OS), recurrence-free survival (RFS), and cancer-specific survival were analyzed as well as recurrence patterns and treatment. The analysis was conducted using a competing-risk framework. The trajectory of the risk of recurrence over time was applied to a competing risk analysis. For post-recurrence survival, death resulting from tumor progression was the primary endpoint, whereas deaths with recurrence relating to other causes were considered as competing events. RESULTS: In total, 813 patients were included in the study. Median OS was 81.4 months (range 28.1-157.0 months), and recurrence occurred in 48.3% of patients, with a median RFS of 39.8 months (range 15.7-174.7 months). Cause-specific hazard of recurrence showed a first peak 6 months (0.027), and a second peak 24 months (0.021) after surgery. The later the recurrence, the higher the chance of receiving curative intent approaches (p&nbsp;= 0.001). Size &gt;5&nbsp;cm, multiple tumors, microvascular invasion, and cirrhosis were independent predictors of recurrence showing a cause-specific hazard over time. RFS was associated with death for recurrence (hazard ratio: 0.985, 95% CI: 0.977-0.995; p&nbsp;= 0.002). CONCLUSIONS: Patients with MS undergoing LR for HCC have good long-term survival. Recurrence occurs in 48% of patients with a double-peak incidence and time-specific hazards depending on tumor-related factors and underlying disease. The timing of recurrence significantly impacts survival. Surveillance after resection should be adjusted over time depending on risk factors. IMPACT AND IMPLICATIONS: Metabolic syndrome (MS) is a growing epidemic and a significant risk factor for the development of hepatocellular carcinoma (HCC). The present study demonstrated that patients who undergo surgical resection for HCC on MS have a good long-term survival and that recurrence occurs in almost half of the cases with a double peak incidence and time-specific hazards depending on tumor-related factors and underlying liver disease. Also, the timing of recurrence significantly impacts survival. Clinicians should therefore adjust follow-up after surgery accordingly, considering timing of recurrence and specific risk factors. Also, the results of the present study might help design future trials on the use of adjuvant therapy following resection