Enhanced Recovery Pathway Improves Colorectal Surgery Outcomes in Private and Safety-Net Settings.

BACKGROUND: Enhanced recovery pathways (ERPs) can decrease length of stay (LOS) and improve colorectal surgery outcomes in private health care; however, their efficacy in the public realm, comprised largely of underserved and uninsured patients, remains uncertain. MATERIALS AND METHODS: An ERP without social interventions was implemented at a private hospital (PH) and a safety-net hospital (SNH) within a large academic medical center in 2014. Process and outcome metrics from 100 patients in the 18 mo before ERP implementation at each institution were retrospectively compared with a similar group after ERP implementation. Primary outcomes were LOS, 30-d readmission, and reoperation. RESULTS: Post-ERP groups were older than pre-ERP (P = 0.047, 0.034), with no difference in sex or body mass index. Rate of open versus minimally invasive was similar at the SNH (P = 0.067), whereas more post-ERP patients at PH underwent open surgery (P = 0.002). Ninety six percentage of PH patients were funded through private insurance or Medicare, verses 6% at the SNH. LOS at PH decreased from 8.1 to 5.9 d (P = 0.028) and at SNH from 7.0 to 5.1 d (P = 0.004). There was no change in 30-d all-cause readmission (PH P = 0.634; SNH P = 1) or reoperation (PH P = 0.610; SNH P = 0.066). CONCLUSIONS: ERP reduced LOS in both private and safety-net settings without addressing social determinants of health. Readmission and reoperation rates were unchanged. As health care moves toward a bundled payment model, ERP can help optimize outcomes and control costs in the public arena.

Current Trends in Breast Augmentation: Analysis of 2011-2015 Maintenance of Certification (MOC) Tracer Data.

BACKGROUND: Breast augmentation is the most common aesthetic surgery performed in the United States. Despite its popularity, there is no consensus on many aspects of the procedure. OBJECTIVES: The authors assessed current trends and changes in breast augmentation from January 1, 2011 to December 31, 2015. METHODS: A retrospective cross-sectional study of 11,756 women who underwent breast augmentation based on the American Board of Plastic Surgery (ABPS) Maintenance of Certification Tracer Database was performed. RESULTS: There were clearly dominant trends in how ABPS-certified plastic surgeons performed breast augmentations. Most surgeries were performed in freestanding outpatient (47.3%) or office operating room (33.7%). The inframammary fold incision was most popular (75.1%), followed by periareolar (17.8%) and transaxillary approaches (4.1%). Implants were more commonly placed in a submuscular pocket (30.6%) compared with dual plane (26.7%) or subglandular (6.7%). Silicone implants (66.8%) were favored over saline (25.1%), with a statistically significant increase in silicone prostheses from 2011 to 2015. Data were "not applicable" or "other" in the remainder of cases. Administration of both preoperative antibiotics (3.8% in 2011, 98.7% in 2015, P < 0.05) and deep venous thromboembolism (DVT) prophylaxis (3.8% in 2011, 90.6% in 2015, P < 0.05) dramatically increased during the study period. Overall adverse events (7.4%) and reoperation rates (2.2%) were low. CONCLUSIONS: Changes in standard of care for breast augmentation are reflected by the evolving practice patterns of plastic surgeons. This is best evidenced by the dramatic increase in use of antibiotic and DVT prophylaxis from 2011 to 2015.

Effectiveness of prophylactic antibiotics in outpatient plastic surgery.

BACKGROUND: The effectiveness of prophylactic antibiotics has not been established for patients who undergo plastic surgery as outpatients, and consensus guidelines for antibiotic administration in clean-contaminated plastic surgery are not available. OBJECTIVES: In a retrospective study of outpatients, the authors examined preoperative timing of prophylactic antibiotics, whether postoperative antibiotics were administered, and whether any correlations existed between these practices and surgical complications. METHODS: The medical records of 468 plastic surgery outpatients were reviewed. Collected data included preoperative antibiotic timing, postoperative antibiotic use, comorbidities, and complications. Rates of complications were calculated and compared with other data. RESULTS: All 468 patients received antibiotics preoperatively, but only 93 (19.9%) received them ≥1 hour before the initial incision. Antibiotics were administered 15 to 44 minutes before surgery in 217 patients (46.4%). There was no significant difference in complication rates between the 315 patients who received postoperative prophylactic antibiotics (16.2%) and the 153 who did not (20.9%). Comorbidities had no bearing on postoperative complications. CONCLUSIONS: Postoperative antibiotic prophylaxis may be unnecessary for outpatient plastic surgery patients. LEVEL OF EVIDENCE: 3.

Clinical and radiological septic joint analysis of spontaneous sternoclavicular joint infections: achieving the best outcomes-a systems engineering approach.

OBJECTIVES: Spontaneous sternoclavicular joint infection (SSCJI) is a rare and poorly understood disease process. This study aims to identify factors guiding effective management strategies for SSCJI by using data mining. METHODS: An Institutional Review Board-approved retrospective review of patients from 2 large hospitals (2010-2022) was conducted. SSCJI is defined as a joint infection without direct trauma or radiation, direct instrumentation or contiguous spread. An interdisciplinary team consisting of thoracic surgeons, radiologists, infectious disease specialists, orthopaedic surgeons, hospital information experts and systems engineers selected relevant variables. Small set data mining algorithms, utilizing systems engineering, were employed to assess the impact of variables on patient outcomes. RESULTS: A total of 73 variables were chosen and 54 analysed against 11 different outcomes. Forty-seven patients [mean age 51 (22-82); 77% male] met criteria. Among them, 34 underwent early joint surgical resection (<14 days), 5 patients received delayed surgical intervention (>14 days) and 8 had antibiotic-only management. The antibiotic-only group had comparable outcomes. Indicators of poor outcomes were soft tissue fluid >4.5 cm, previous SSCJI, moderate/significant bony fragments, HgbA1c >13.9% and moderate/significant bony sclerosis. CONCLUSIONS: This study suggests that targeted antibiotic-only therapy should be considered initially for SSCJI cases while concurrently managing comorbidities. Patients displaying indicators of poor outcomes or no symptomatic improvement after antibiotic-only therapy should be considered for surgical joint resection.

Optimizing Medical Student Clerkship Schedules Using a Novel Application of the Hungarian Algorithm.

PROBLEM: Medical students often have preferences regarding the order of their clinical rotations, but assigning rotations fairly and efficiently can be challenging. To achieve a solution that optimizes assignments (i.e., maximizes student satisfaction), the authors present a novel application of the Hungarian algorithm, designed at the University of Texas Southwestern Medical Center (UTSW), to assign student schedules. APPROACH: Possible schedules were divided into distinct pathway options with k total number of seats. Each of n students submitted a ranked list of their top 5 pathway choices. An n × k matrix was formed, where the location (i, j) represented the cost associated with student i being placed in seat j. Progressively higher costs were assigned to students receiving less desired pathways. The Hungarian algorithm was then used to find the assignments that minimize total cost. The authors compared the performance of the Hungarian algorithm against 2 alternative algorithms (i.e., the rank and lottery algorithms). To evaluate the 3 algorithms, 4 simulations were conducted with different popularity weights for different pathways and were run across 1,000 trials. The algorithms were also compared using 3 years of UTSW student preference data for the classes of 2019, 2020, and 2021. OUTCOMES: In all 4 computer simulations, the Hungarian algorithm resulted in more students receiving 1 of their top 3 choices and fewer students receiving none of their preferences. Similarly, for UTSW student preference data, the Hungarian algorithm resulted in more students receiving 1 of their top 3 preferences and fewer students receiving none of their ranked preferences. NEXT STEPS: This approach may be broadly applied to scheduling challenges in undergraduate and graduate medical education. Furthermore, by manipulating cost values, additional constraints can be enforced (e.g., requiring certain seats to be filled, attempting to avoid schedules that begin with a student's desired specialty).