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Pancreas ; 50(3): 386-392, 2021 03 01.
Article in English | MEDLINE | ID: mdl-33835970

ABSTRACT

OBJECTIVES: The objective of this study was to create a composite measure, optimal oncologic surgery (OOS), for patients undergoing distal pancreatectomy for pancreatic adenocarcinoma and identify factors associated with OOS. METHODS: Adult patients undergoing distal pancreatectomy were identified from the National Cancer Database between 2010 and 2016. Patients were stratified based on receipt of OOS. Criteria for OOS included 90-day survival, no 30-day readmission, length of stay ≤7 days, negative resection margins, ≥12 lymph nodes harvested, and receipt of chemotherapy. Multivariate logistic regression was performed to identify predictors of OOS. Survival curves and a Cox proportional hazards model were created to compare survival and identify risk factors for mortality. RESULTS: Three thousand five hundred forty-six patients were identified. The rate of OOS was 22.3%. Diagnosis after 2012, treatment at an academic medical center, and a minimally invasive surgical approach (MIS) were associated with OOS. Survival was superior for patients undergoing OOS. Decreasing age at diagnosis, fewer comorbidities, surgery at an academic medical center, MIS, and lower pathologic stage were also associated with improved survival on multivariate analysis. CONCLUSIONS: Rates of OOS for distal pancreatectomy are low. Time trends show increasing rates of OOS that may be related to increasing MIS, adjuvant chemotherapy, and referrals to academic medical centers.


Subject(s)
Adenocarcinoma/surgery , Databases, Factual/statistics & numerical data , Pancreatectomy/statistics & numerical data , Pancreatic Neoplasms/surgery , Aged , Female , Humans , Kaplan-Meier Estimate , Length of Stay/statistics & numerical data , Logistic Models , Male , Multivariate Analysis , Outcome Assessment, Health Care/methods , Outcome Assessment, Health Care/statistics & numerical data , Patient Readmission/statistics & numerical data , Proportional Hazards Models , United States
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