The Role of a Community Surgeon in the Care of Hepatopancreatobiliary Patients: Short-Term Outcomes and Learning Curve

社区外科医生在肝胆胰疾病患者诊疗中的作用:短期疗效和学习曲线

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Abstract

Background Owing to the well-established volume-outcome relationship, hepatopancreatobiliary (HPB) surgery is commonly regionalized to academic, teaching hospitals. However, regionalization is associated with decreased access for some populations in need, as well as geographic and financial barriers for patients. If high surgeon and institutional volumes can be achieved, the community, non-teaching HPB surgical practice could help alleviate some issues associated with regionalization. The HPB experience of a community surgeon immediately after surgical oncology training was reviewed, hypothesizing that high volumes with acceptable short-term outcomes could be achieved, although a learning curve may be observed. Materials and methods Electronic medical records from 2013 to 2023 were reviewed. Data included patient demographics, perioperative details, pathology, complications, and deaths over 90 postoperative days. Perioperative quality metrics were assessed for trends over time in pancreaticoduodenectomy (PD) and liver resection subgroups. Results A total of 295 patients underwent 176 (59.7%) pancreatic and 119 (40.3%) hepatobiliary operations. The most common operations were PD (n=87; 49.4%) and partial hepatic lobectomy (n=56; 41.1%). In the pancreas group, morbidity was 25% (n=44), and mortality was 4.5% (n=8). In the hepatobiliary group, morbidity and mortality were 19.3% (n=23) and 5.0% (n=6), respectively. Within the PD and liver resection subgroups, operative time, estimated blood loss, and hospital length of stay (LOS) trended downward over time, with LOS decreasing significantly. Conclusion High HPB volumes with acceptable short-term outcomes can be achieved by a solo practitioner in the community, non-teaching setting. For PDs and liver resections, perioperative metrics trended downward over time, illustrating the learning curve encountered after training.

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