Minorities Face Delays to Pancreatic Cancer Treatment Regardless of Diagnosis Setting.

INTRODUCTION: Our analysis was designed to characterize the demographics and disparities between the diagnosis of pancreas cancer during emergency presentation (EP) and the outpatient setting (OP) and to see the impact of our institutions pancreatic multidisciplinary clinic (PMDC) on these disparities. METHODS: Institutional review board-approved retrospective review of our institutional cancer registry and PMDC databases identified patients diagnosed/treated for pancreatic ductal adenocarcinoma between 2014 and 2022. Chi-square tests were used for categorical variables, and one-way ANOVA with a Bonferroni correction was used for continuous variables. Statistical significance was set at p < 0.05. RESULTS: A total of 286 patients met inclusion criteria. Eighty-nine patients (31.1%) were underrepresented minorities (URM). Fifty-seven (64.0%) URMs presented during an EP versus 100 (50.8%) non-URMs (p = 0.037). Forty-one (46.1%) URMs were reviewed at PMDC versus 71 (36.0%) non-URMs (p = 0.10). No differences in clinical and pathologic stage between the cohorts (p = 0.28) were present. URMs took 22 days longer on average to receive treatment (66.5 days vs. 44.8 days, p = 0.003) in the EP cohort and 18 days longer in OP cohort (58.0 days vs. 40.5 days, p < 0.001) compared with non-URMs. Pancreatic Multidisciplinary Clinic enrollment in EP cohort eliminated the difference in time to treatment between cohorts (48.3 days vs. 37.0 days; p = 0.151). RESULTS: Underrepresented minorities were more likely to be diagnosed via EP and showed delayed times to treatment compared with non-URM counterparts. Our PMDC alleviated some of these observed disparities. Future studies are required to elucidate the specific factors that resulted in these findings and to identify solutions.

Machine learning to predict completion of treatment for pancreatic cancer.

BACKGROUND: Chemotherapy enhances survival rates for pancreatic cancer (PC) patients postsurgery, yet less than 60% complete adjuvant therapy, with a smaller fraction undergoing neoadjuvant treatment. Our study aimed to predict which patients would complete pre- or postoperative chemotherapy through machine learning (ML). METHODS: Patients with resectable PC identified in our institutional pancreas database were grouped into two categories: those who completed all intended treatments (i.e., surgery plus either neoadjuvant or adjuvant chemotherapy), and those who did not. We applied logistic regression with lasso penalization and an extreme gradient boosting model for prediction, and further examined it through bootstrapping for sensitivity. RESULTS: Among 208 patients, the median age was 69, with 49.5% female and 62% white participants. Most had an Eastern Cooperative Oncology Group (ECOG) performance status of ≤2. The PC predominantly affected the pancreatic head. Neoadjuvant and adjuvant chemotherapies were received by 26% and 47.1%, respectively, but only 49% completed all treatments. Incomplete therapy was correlated with older age and lower ECOG status. Negative prognostic factors included worsening diabetes, age, congestive heart failure, high body mass index, family history of PC, initial bilirubin levels, and tumor location in the pancreatic head. The models also flagged other factors, such as jaundice and specific cancer markers, impacting treatment completion. The predictive accuracy (area under the receiver operating characteristic curve) was 0.67 for both models, with performance expected to improve with larger datasets. CONCLUSIONS: Our findings underscore the potential of ML to forecast PC treatment completion, highlighting the importance of specific preoperative factors. Increasing data volumes may enhance predictive accuracy, offering valuable insights for personalized patient strategies.

Impact of postoperative pancreatic fistula on outcomes in pancreatoduodenectomy: a comprehensive analysis of American College of Surgeons National Surgical Quality Improvement Program data.

BACKGROUND: Pancreatoduodenectomy (PD) is a major surgical procedure associated with significant risks, particularly postoperative pancreatic fistula (POPF). Studies have highlighted the importance of certain risk factors for POPF, which are crucial for surgical decision-making and the management of high-risk patients undergoing PD. This study aimed to assess the surgical outcomes of patients undergoing PD who met the International Study Group of Pancreatic Surgery - Class D (ISGPS-D) criteria. METHODS: This study analyzed American College of Surgeons National Surgical Quality Improvement Program data (2014-2021) for patients undergoing ISGPS-D PD, classified as having a soft pancreatic texture and a pancreatic duct of ≤3 mm. This study focused on mortality rates and the correlation between several factors and POPF (ISGPS grade B/C). RESULTS: From 5964 patients who underwent PD and met the ISGPS-D criteria, the 30-day mortality rate was 1.98%. Males had a higher incidence of POPF than females (57.42% vs 47.35%, respectively; P < .001). Patients with POPF experienced significantly higher rates of major postoperative complications (Clavien-Dindo grade ≥ IIIa), including thrombosis, pneumonia, sepsis, delayed gastric emptying, wound disruption, infections, and acute renal failure. There was a marked increase in the 30-day readmission and mortality rates in patients with POPF (30.0% vs 17.6% and 3.2% vs 1.4%, respectively; all P < .001). Multivariate analysis highlighted female sex as a protective factor against mortality (odds ratio [OR], 0.47; P < .001) and extended hospital stay (>10 days) as a predictor of increased mortality risk (OR, 2.37; P < .001). CONCLUSION: This study underscored the significant association between POPF and increased postoperative morbidity and mortality rates. Future efforts should concentrate on refining surgical techniques and improving preoperative assessments to mitigate the risks associated with POPF in patients undergoing PD.