Objective:We aim to describe the long-term follow-up data from our institution's POEM experience.Summary Background Data:Per-oral endoscopic myotomy (POEM) is a well-established endoscopic therapy for achalasia with excellent short-term efficacy, but long-term outcomes data are limited.Methods:Patients older than 4 years removed from POEM for treatment of achalasia were studied. Clinical success was defined as an Eckardt Symptom (ES) score ≤3 and freedom from reintervention for achalasia. Patients underwent esophagogastroduodenoscopy (EGD), high-resolution manometry, impedance planimetry, and timed barium esophagram (TBE) preoperatively and at least 4 years postoperatively. Objective gastroesophageal reflux disease (GERD) was defined LA Grade B or worse esophagitis on EGD.Results:One hundred and nineteen consecutive patients were included. Five patients died or had catastrophic events unrelated to achalasia or POEM. One hundred of the remaining patients (88%, 100/114) had long-term data available. Clinical follow-up for all patients was greater than 4 years postoperatively and the mean was 55 months. Mean current ES was significantly improved from preop (n = 100, 1 ± 1 vs 7 ± 2, P < 0.001). Overall clinical success was 88% and 92%. Five patients had a current ES >3 and 4 patients required procedural reintervention on the lower esophageal sphincter. Reinterventions were successful in 75% of patients (3/4), with current ES ≤3. The rate of objective GERD was 33% (15/45). Esophageal physiology was improved with a decrease in median integrated relaxation pressure (11 ± 4 vs 33 ± 15 mm Hg, P < 0.001), a decrease in median TBE column height (3 ± 3 vs 13 ± 8 cm, P < 0.001), and an increase in median distensibility index (5.1 ± 2 vs 1.1 ± 1 mm2/mm Hg, P < 0.001).Conclusions:POEM provides durable symptom relief and improvement in physiologic esophagogastric junction relaxation parameters over 4.5 years postoperatively. Reinterventions are rare and effective.

Background: Achalasia subtypes on high-resolution manometry (HRM) prognosticate treatment response and help direct management plan. We aimed to utilize parameters of distension-induced contractility and pressurization on functional luminal imaging probe (FLIP) panometry and machine learning to predict HRM achalasia subtypes. Methods: One hundred eighty adult patients with treatment-naïve achalasia defined by HRM per Chicago Classification (40 type I, 99 type II, 41 type III achalasia) who underwent FLIP panometry were included: 140 patients were used as the training cohort and 40 patients as the test cohort. FLIP panometry studies performed with 16-cm FLIP assemblies were retrospectively analyzed to assess distensive pressure and distension-induced esophageal contractility. Correlation analysis, single tree, and random forest were adopted to develop classification trees to identify achalasia subtypes.

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Background: General surgery residencies continue to experience high levels of attrition.Methods: Survey of general surgery residents administered with the 2018 American Board of Surgery In-Training Examination. Outcomes were consideration of leaving residency, potential alternative career paths, and reasons for staying in residency.Results: Among 7,409 residents, 930 (12.6%) reported considering leaving residency over the last year. Residents were more likely to consider other general surgery programs (46.2%) if PGY 2/3 (OR: 1.93, 95%CI 1.34-2.77) or reporting frequent duty hour violations (OR: 1.58, 95%CI 1.12-2.24). Consideration of other specialties (47.0%) was more likely if dissatisfied with being a surgeon (OR 2.86,.Residents were more likely to consider leaving medicine (49.7%) if female (OR: 1.54, 95%CI 1.16-2.06) or dissatisfied with a surgical career (OR: 2.81, 95%CI 1.85-4.27). Common reasons for remaining in residency included a sense of too much invested to leave (65.3%) and career satisfaction (55.5%). Conclusion:Profiles of trainees considering leaving residency exist based on factors associated with alternative careers. This may be a target for future interventions to reduce attrition.