Habermann, Elizabeth B.

BACKGROUND: The differences between sporadic and multiple endocrine neoplasia type 1 (MEN-1)–associated insulinoma are not well described. Herein, we compared demographics, neoplasm characteristics, presentation, and survival in patients with sporadic vs MEN-1 insulinomas including benign and malignant disease. STUDY DESIGN: A retrospective study identified insulinoma patients. MEN-1 was defined based on genetic testing or clinically in patients with 2 or more primary MEN-1 tumor types. RESULTS: A total of 311 patients were identified: 84% benign and 16% malignant. The incidence of malignancy was similar (18% vs 16%, MEN-1 vs sporadic, p = 0.76). Within malignant patients, the median (interquartile range) age was 33 (25 ,44) years in MEN-1 vs 54 (41, 70) years in sporadic insulinoma (p = 0.04). There was no difference in sex or tumor size between MEN-1 and sporadic malignant insulinoma (p > 0.05). Of the 260 patients with benign insulinoma, 7% had MEN-1 syndrome. MEN-1 patients presented with insulinoma at a younger age: median (interquartile range) age was 38 (24, 49) years vs 52 (43, 65) years (p < 0.01). Resection of benign insulinoma was performed in 78% of the MEN-1 and 94% of the sporadic group (p = 0.03). Resected benign tumors were larger in the MEN-1 group: 2.0 (1.65, 2.45) cm vs 1.5 (1.2, 2.0) cm, respectively (p = 0.03). Concurrent insulinomas were more common in MEN-1 (17% vs 2%; p < 0.01). CONCLUSIONS: MEN-1 patients present with insulinoma at younger age and have larger benign pancreatic lesions at the time of resection compared with sporadic neoplasms. Younger patients and those with multifocal pancreatic neuroendocrine tumor in the setting of endogenous hyperinsulinism should be evaluated for MEN-1.

BACKGROUND: The development of major low anterior resection syndrome (LARS) after low anterior resection is severely detrimental to quality of life, yet awareness of it by clinicians and patients and the frequency of treatment of LARS is unclear. STUDY DESIGN: Patients who underwent low anterior resection for sigmoid or rectal cancer at a tertiary center between 2007 and 2017 (n = 798) were surveyed in 2019 to assess LARS symptoms and report medications or treatment received for LARS. LARS scores were calculated (score range 0–42) and normalized to published data on LARS prevalence in the general population in Europe, stratified by age (<50 or ≥50) and sex. RESULTS: Of the 594 patients (74%) who returned the survey, 255 (43%) were identified as having major LARS (LARS score ≥30). This prevalence was significantly higher than published normative data from Denmark and Amsterdam when stratified by age greater than or less than 50 and sex. Patients with major LARS infrequently reported current use of first-line therapies (antidiarrheal medications 32%, fiber supplements 16%, and both 13%). Only 3% reported receiving second-line therapy of transanal irrigations and/or pelvic floor rehabilitation, and only 1% had undergone third-line therapy of sacral nerve stimulator implantation. CONCLUSION: Major LARS is common yet seemingly underrecognized by clinicians because less than half of patients are on first-line therapy and practically none are on second- and third-line therapies. Long-term follow-up of patients after low anterior resection, improved preoperative and postoperative education, and continued symptom assessment is necessary to improve treatment of major LARS.

OBJECTIVE Although it has been shown that surgery for glioblastoma (GBM) at high-volume facilities (HVFs) may be associated with better postoperative outcomes, the use of such hospitals may not be equally distributed. The authors aimed to evaluate racial and socioeconomic differences in access to surgery for GBM at high-volume Commission on Cancer (CoC)–accredited hospitals. METHODS The National Cancer Database was queried for patients with GBM that was newly diagnosed between 2004 and 2015. Patients who received no surgical intervention or those who received surgical intervention at a site other than the reporting facility were excluded. Annual surgical case volume was calculated for each hospital, with volume ≥ 90th percentile defined as an HVF. Multivariable logistic regression was performed to identify patient-level predictors for undergoing surgery at an HVF. Furthermore, multiple subgroup analyses were performed to determine the adjusted odds ratio of the likelihood of undergoing surgery at an HVF in 2016 as compared to 2004 for each patient subpopulation (by age, race, sex, educational group, etc.). RESULTS A total of 51,859 patients were included, with 10.7% (n = 5562) undergoing surgery at an HVF. On multivariable analysis, Hispanic White patients (OR 0.58, 95% CI 0.49–0.69, p < 0.001) were found to have significantly lower odds of undergoing surgery at an HVF (reference = non-Hispanic White). In addition, patients from a rural residential location (OR 0.55, 95% CI 0.41–0.72, p < 0.001; reference = metropolitan); patients with nonprivate insurance status (Medicare [OR 0.78, 95% CI 0.71–0.86, p < 0.001], Medicaid [OR 0.68, 95% CI 0.60–0.78, p < 0001], other government insurance [OR 0.68, 95% CI 0.52–0.86, p = 0.002], or who were uninsured [OR 0.61, 95% CI 0.51–0.72, p < 0.001]); and lower-income patients ($50,354–$63,332 [OR 0.68, 95% CI 0.63–0.74, p < 0.001], $40,227–$50,353 [OR 0.84, 95% CI 0.76–0.92, p < 0.001]; reference = ≥ $63,333) were also found to be significantly associated with a lower likelihood of surgery at an HVF. Subgroup analyses revealed that elderly patients (age ≥ 65 years), both male and female patients and non-Hispanic White patients, and those with private insurance, Medicare, metropolitan residential location, median zip code–level household income in the first and second quartiles, and educational attainment in the first and third quartiles had increased odds of undergoing surgery at an HVF in 2016 compared to 2004 (all p ≤ 0.05). On the other hand, patients with other governmental insurance, patients with a rural residence, and those from a non-White racial category did not show a significant difference in odds of surgery at an HVF over time (all p > 0.05). CONCLUSIONS The present analysis from the National Cancer Database revealed significant disparities in access to surgery at an HVF for GBM within the United States. Furthermore, there was evidence that these racial and socioeconomic disparities may have widened between 2004 and 2016. The findings should assist health policy makers in the development of strategies for improving access to HVFs for racially and socioeconomically disadvantaged populations.

While the safety of video follow-up in bariatric surgery is established, patients’ perception of telemedicine visits remained unknown. A randomized clinical trial evaluating patients’ perception of video postoperative follow-up (F/U) visits was conducted in the pre COVID-19 era. 24 patients were randomized in the preoperative clinic to receive either in-person or video F/U, and then surveyed about their experience and preference. The majority reported that if they had to do it over, they would prefer a video visit. Among those who received video visits, 11/12 reported that the lack of physical contact was acceptable. 82% of the video group expressed that their visit was better or as good as an in-person visit, while 9% were not sure, and 9% reported that video was worse. This finding suggests that postoperative video follow-up visits are acceptable among bariatric surgery patients and should be offered as an alternative to traditional visits.

Abstract Background Consolidation of healthcare in the US has resulted in integrated organizations encompassing large geographic areas, with varying services and complex patient flows. Profound changes in patient volumes and behavior have occurred during the SARS Cov2 pandemic, but understanding these changes across organizations is challenging. Network analysis provides a novel approach to address this. Methods We retrospectively evaluated hospital-based encounters with an index emergency department visit in a healthcare system comprising 18 hospitals, using patient transfer as a marker of unmet clinical need. We developed quantitative models of transfers using network analysis incorporating the level of care provided (ward, progressive care, intensive care) during pre-pandemic (May 25, 2018 to March 16, 2020) and mid-pandemic (March 17, 2020 to March 8, 2021) time periods. Results 829,455 encounters were evaluated. The system functioned as a non-small-world, non-scale-free, dissociative network. Our models reflected transfer destination diversification and variations in volume between the two time points – results of intentional efforts during the pandemic. Known hub-spoke architecture correlated with quantitative analysis. Conclusion Applying network analysis in an integrated US healthcare organization demonstrates changing patterns of care and the emergence of bottlenecks in response to the SARS Cov2 pandemic, consistent with clinical experience, providing a degree of face validity. The modeling of multiple influences can identify susceptibility to stress and opportunities to strengthen the system where patient movement is common and voluminous. The technique provides a mechanism to analyze the effects of intentional and contextual changes on system behavior.

Objectives: To characterize 30-day morbidity of upper ureteral reconstruction (UUR) and lower ureteral reconstruction (LUR) surgery by comparing open and minimally invasive surgery (MIS) approaches using a national surgical outcomes registry. Methods: The American College of Surgeons National Surgical Quality Improvement Program database was reviewed for patients who underwent UUR and LUR between 2007 and 2017. Primary endpoints included 30-day complications, transfusion, readmission, return to operating room (ROR), and prolonged postoperative length of stay (LOS). Multivariable logistic regression was performed to observe the association of MIS approach on 30-day outcomes. Results: Three thousand forty-two patients were identified with 2116 undergoing UUR and 926 undergoing LUR. Of 2116 patients undergoing UUR, 1733 (82%) were performed through an MIS approach. On multivariable analysis, open approach for UUR was associated with increased odds of any 30-day complication (odds ratio (OR) 1.6 [1.1–2.4]; p = 0.014), major complication (OR 1.8 [1.04–3.0]; p = 0.034), transfusion (OR 3.7 [1.2–11.5]; p = 0.025), ROR (OR 2.0 [1.0–3.9]; p = 0.047), and prolonged LOS (OR 5.4 [3.9–7.6]; p < 0.001). Of the 926 patients undergoing LUR, 458 (49%) were performed through an MIS approach. On multivariable analysis, open approach for LUR was associated with increased odds of any 30-day complication (OR 1.5 [1.1–2.1]; p = 0.028), minor complication (OR 1.7 [1.1–2.6]; p = 0.02), transfusion (OR 8.1 [2.7–23.7]; p < 0.001), and prolonged LOS (OR 4.2 [2.4–7.3]; p < 0.001). Conclusion: Utilization of a national surgical database revealed an open approach was associated with increased 30-day morbidity across multiple postoperative outcome measures. These findings suggest an MIS approach should be considered, when feasible, for upper and lower ureteral reconstruction.

Background: Data regarding opioid prescribing patterns following pediatric orthopaedic procedures is limited. The aim of this work was to evaluate the effects of tiered guidelines for discharge opioid prescriptions following common pediatric orthopaedic procedures. Methods: Quality improvement project conducted at a single academic institution. Guidelines for discharge opioid prescriptions were implemented January 2018 and established 4 tiers of increasing invasiveness for 28 common pediatric orthopaedic procedures. Patients who underwent these procedures in 2017 comprised the preguideline cohort (N=258), while patients treated in 2019 comprised the postguideline cohort (N=212). Opioid prescriptions were reported as oral morphine equivalents (OMEs). Univariate tests were performed to assess statistically significant differences before and after implementation of the guidelines. Results: There was a significant decrease in OME prescribed between preguideline and postguideline cohorts (median OME 97.5 vs. 37.5). When analyzed according to procedure tiers, tiers 1, 2, and 4 showed significant decreases in OME prescribed between 2017 and 2019. The rate of no opioids prescribed at discharge increased from 13% to 23% between preguideline and postguideline cohorts. The 30-day refill rate did not significantly change. After implementation of guidelines, 91% of all prescriptions were within the guideline parameters, and there was a significant reduction in prescription variability. In tier 4 procedures, median OME prescribed decreased from 375 preguideline to 188 postguideline, but was associated with greater opioid refills within 30 days of discharge (10.2% preguideline vs. 28.8% postguideline). Conclusions: Tiered guidelines for discharge opioid prescriptions following pediatric orthopaedic procedures can significantly decrease the quantity of opioids prescribed. Furthermore, we noted excellent adherence and no overall increase in the rates of narcotic refills. Such guidelines may improve pediatric orthopaedists’ ability to responsibly treat postoperative pain while limiting the distribution of unneeded opioids. Level of Evidence: Level IV—quality improvement project.

OBJECTIVE Sustained postoperative opioid use after elective surgery is a matter of growing concern. Herein, the authors investigated incidence and predictors of long-term opioid use among patients undergoing elective lumbar spine surgery, especially as a function of opioid prescribing practices at postoperative discharge (dose in morphine milligram equivalents [MMEs] and type of opioid). METHODS The OptumLabs Data Warehouse (OLDW) was queried for postdischarge opioid prescriptions for patients undergoing elective lumbar decompression and discectomy (LDD) or posterior lumbar fusion (PLF) for degenerative spine disease. Only patients who received an opioid prescription at postoperative discharge and those who had a minimum of 180 days of insurance coverage prior to surgery and 180 days after surgery were included. Opioid-naive patients were defined as those who had no opioid fills in 180 days prior to surgery. The following patterns of long-term postoperative use were investigated: additional fills (at least one opioid fill 90–180 days after surgery), persistent fills (any span of opioid use starting in the 180 days after surgery and lasting at least 90 days), and Consortium to Study Opioid Risks and Trends (CONSORT) criteria for persistent use (episodes of opioid prescribing lasting longer than 90 days and 120 or more total days’ supply or 10 or more prescriptions in 180 days after the index fill). Multivariable logistic regression was performed to identify predictors of long-term use. RESULTS A total of 25,587 patients were included, of whom 52.7% underwent PLF (n = 13,486) and 32.5% (n = 8312) were opioid-naive prior to surgery. The rates of additional fills, persistent fills, and CONSORT use were 47%, 30%, and 23%, respectively, after PLF and 35.4%, 19%, and 14.2%, respectively, after LDD. The rates among opioid-naive patients were 18.9%, 5.6%, and 2.5% respectively, after PLF and 13.3%, 2.0%, and 0.8%, respectively, after LDD. Using multivariable logistic regression, the following were identified to be significantly associated with higher risk of long-term opioid use following PLF: discharge opioid prescription ≥ 500 MMEs, prescription of a long-acting opioid, female sex, multilevel surgery, and comorbidities such as depression and drug abuse (all p < 0.05). Elderly (age ≥ 65 years) and opioid-naive patients were found to be at lower risk (all p < 0.05). Similar results were obtained on analysis for LDD with the following significant additional risk factors identified: discharge opioid prescription ≥ 400 MMEs, prescription of tramadol alone at discharge, and inpatient surgery (all p < 0.05). CONCLUSIONS In an analysis of pharmacy claims from a national insurance database, the authors identified incidence and predictors of long-term opioid use after elective lumbar spine surgery.