Association of Postoperative Opioid Prescription Size and Patient Satisfaction.

OBJECTIVE: To evaluate the association between postoperative opioid prescription size and patient-reported satisfaction among surgical patients. SUMMARY BACKGROUND DATA: Opioids are overprescribed after surgery, which negatively impacts patient outcomes. The assumption that larger prescriptions increase patient satisfaction has been suggested as an important driver of excessive prescribing. METHODS: This prospective cohort study evaluated opioid-naive adult patients undergoing laparoscopic cholecystectomy, laparoscopic appendectomy, and minor hernia repair between January 1 and May 31, 2018. The primary outcome was patient satisfaction, collected via a 30-day postoperative survey. Satisfaction was measured on a scale of 0 to 10 and dichotomized into "highly satisfied" (9-10) and "not highly satisfied" (0-8). The explanatory variable of interest was size of opioid prescription at discharge from surgery, converted into milligrams of oral morphine equivalents (OME). Hierarchical logistic regression was performed to evaluate the association between prescription size and satisfaction while adjusting for clinical covariates. RESULTS: One thousand five hundred twenty patients met the inclusion criteria. Mean age was 53 years and 43% of patients were female. One thousand two hundred seventy-nine (84.1%) patients were highly satisfied and 241 (15.9%) were not highly satisfied. After multivariable adjustment, there was no significant association between opioid prescription size and satisfaction (OR 1.00, 95% CI 0.99-1.00). The predicted probability of being highly satisfied ranged from 83% for the smallest prescription (25 mg OME) to 85% for the largest prescription (750 mg OME). CONCLUSIONS: In a large cohort of patients undergoing common surgical procedures, there was no association between opioid prescription size at discharge after surgery and patient satisfaction. This implies that surgeons can provide significantly smaller opioid prescriptions after surgery without negatively affecting patient satisfaction.

Opioid prescribing exceeds consumption following common surgical oncology procedures.

BACKGROUND AND OBJECTIVES: Surgical oncology patients are vulnerable to persistent opioid use. As such, we aim to compare opioid prescribing to opioid consumption for common surgical oncology procedures. METHODS: We prospectively identified patients undergoing common surgical oncology procedures at a single academic institution (August 2017-March 2018). Patients were contacted by telephone within 6 months of surgery and asked to report their opioid consumption and describe their discharge instructions and opioid handling practices. RESULTS: Of the 439 patients who were approached via telephone, 270 completed at least one survey portion. The median quantity of opioid prescribed was significantly larger than consumed following breast biopsy (5 vs. 2 tablets of 5 mg oxycodone, p < .001), lumpectomy (10 vs. 2 tablets of 5 mg oxycodone, p < .001), and mastectomy or wide local excision (20 tablets vs. 2 tablets of 5 mg oxycodone, p < .001). The majority of patients reported receiving education on taking opioids, but only 27% received instructions on proper disposal; 82% of prescriptions filled resulted in unused opioids, and only 11% of these patients safely disposed of them. CONCLUSIONS: This study demonstrates that opioid prescribing exceeds consumption following common surgical oncology procedures, indicating the potential for reductions in prescribing.

Patterns of Initial Opioid Prescribing to Opioid-Naive Patients.

OBJECTIVE: To determine the proportion of initial opioid prescriptions for opioid-naive patients prescribed by surgeons, dentists, and emergency physicians. We hypothesized that the percentage of such prescriptions grew as scrutiny of primary care and pain medicine opioid prescribing increased and guidelines were developed. SUMMARY OF BACKGROUND DATA: Data regarding the types of care for which opioid-naive patients are provided initial opioid prescriptions are limited. METHODS: A retrospective cross-sectional study using a nationwide insurance claims dataset to study US adults aged 18 to 64 years. Our primary outcome was a change in opioid prescription share for opioid-naive patients undergoing surgical, emergency, and dental care from 2010 to 2016; we also examined the type and amounts of opioid filled. RESULTS: From 87,941,718 analyzed lives, we identified 16,292,018 opioid prescriptions filled by opioid-naive patients. The proportion of prescriptions for patients receiving surgery, emergency, and dental care increased by 15.8% from 2010 to 2016 (P < 0.001), with the greatest increases related to surgical (18.1%) and dental (67.8%) prescribing. In 2016, surgery patients filled 22.0% of initial prescriptions, emergency medicine patients 13.0%, and dental patients 4.2%. Surgical patients' mean total oral morphine equivalents per prescription increased from 240 mg (SD 509) in 2010 to 403 mg (SD 1369) in 2016 (P < 0.001). Over the study period, surgical patients received the highest proportion of potent opioids (90.2% received hydrocodone or oxycodone). CONCLUSIONS: Initial opioid prescribing attributable to surgical and dental care is increasing relative to primary and chronic pain care. Evidence-based guideline development for surgical and dental prescribing is warranted in order to curb iatrogenic opioid morbidity and mortality.

Health Care Spending and New Persistent Opioid Use After Surgery.

OBJECTIVE: We sought to describe the differences in health care spending and utilization among patients who develop persistent postoperative opioid use. SUMMARY OF BACKGROUND DATA: Although persistent opioid use following surgery has garnered concern, its impact on health care costs and utilization remains unknown. METHODS: We examined insurance claims among 133,439 opioid-naive adults undergoing surgery. Outcomes included 6-month postoperative health care spending; proportion of spending attributable to admission, readmission, ambulatory or emergency care; monthly spending 6 months before and following surgery. We defined persistent opioid use as continued opioid fills beyond 3 months postoperatively. We used linear regression to estimate outcomes adjusting for clinical covariates. RESULTS: In this cohort, 8103 patients developed persistent opioid use. For patients who underwent inpatient procedures, new persistent opioid use was associated with health care spending (+$2700 per patient, P < 0.001) compared with patients who did not develop new persistent use. For patients who underwent outpatient procedures, new persistent opioid use was similarly correlated with higher health care spending (+$1500 per patient, P < 0.001) compared with patients who did not develop new persistent use. Patients without persistent opioid use returned to baseline health care spending within 6 months, regardless of other complications. However, patients with persistent opioid use had sustained increases in spending by approximately $200 per month. CONCLUSION: Unlike other postoperative complications, persistent opioid use is associated with sustained increases in spending due to greater readmissions and ambulatory care visits. Early identification of patients vulnerable to persistent use may enhance the value of surgical care.

Classifying Preoperative Opioid Use for Surgical Care.

OBJECTIVE: We characterized patterns of preoperative opioid use in patients undergoing elective surgery to identify the relationship between preoperative use and subsequent opioid fill after surgery. BACKGROUND: Preoperative opioid use is common, and varies by dose, recency, duration, and continuity of fills. To date, there is little evidence to guide postoperative prescribing need based on prior opioid use. METHODS: We analyzed claims data from Clinformatics DataMart Database for patients aged 18 to 64 years undergoing major and minor surgery between 2008 and 2015. Preoperative use was defined as any opioid prescription filled in the year before surgery. We used cluster analysis to group patients by the dose, recency, duration, and continuity of use. Our primary outcome was second postoperative fill within 30 postoperative days. Our primary explanatory variable was opioid use group. We used logistic regression to examine likelihood of second fill by opioid use group. RESULTS: Out of 267,252 patients, 102,748 (38%) filled an opioid prescription in the 12 months before surgery. Cluster analysis yielded 6 groups of preoperative opioid use, ranging from minimal (27.6%) to intermittent (7.7%) to chronic use (2.7%). Preoperative opioid use was the most influential predictor of second fill, with larger effect sizes than other factors even for patients with minimal or intermittent opioid use. Increasing preoperative use was associated with risk-adjusted likelihood of requiring a second opioid fill compared with naive patients [minimal use: odds ratio (OR) 1.49, 95% confidence interval (95% CI) 1.45-1.53; recent intermittent use: OR 6.51, 95% CI 6.16-6.88; high chronic use: OR 60.79, 95% CI 27.81-132.92, all P values <0.001). CONCLUSION: Preoperative opioid use is common among patients who undergo elective surgery. Although the majority of patients infrequently fill opioids before surgery, even minimal use increases the probability of needing additional postoperative prescriptions in the 30 days after surgery when compared with opioid-naive patients. Going forward, identifying preoperative opioid use can inform surgeon prescribing and care coordination for pain management after surgery.

Provider Characteristics Associated With Outpatient Opioid Prescribing After Surgery.

OBJECTIVE: To characterize differences in postoperative opioid prescribing across surgical, nonsurgical, and advanced practice providers. BACKGROUND: There is a critical need to identify best practices around perioperative opioid prescribing. To date, differences in postoperative prescribing among providers are poorly understood. METHODS: This is a retrospective multicenter analysis of commercial insurance claims from a statewide quality collaborative. We identified 15,657 opioid-naïve patients who underwent a range of surgical procedures between January 2012 and October 2015 and filled an opioid prescription within 30 days postoperatively. Our primary outcome was total amount of opioid filled per prescription within 30 days postoperatively [in oral morphine equivalents (OME)]. Hierarchical linear regression was used to determine the association between provider characteristics [specialty, advanced practice providers (nurse practitioners and physician assistants) vs. physician, and gender] and outcome while adjusting for patient factors. RESULTS: Average postoperative opioid prescription amount was 326 ± 285 OME (equivalent: 65 tablets of 5 mg hydrocodone). Advanced practice providers accounted for 19% of all prescriptions, and amount per prescription was 18% larger in this group compared with physicians (315 vs. 268, P < 0.001). Primary care providers accounted for 13% of all prescriptions and prescribed on average 279 OME per prescription. The amount of opioid prescribed varied by surgical specialty and ranged from 178 OME (urology) to 454 OME (neurosurgery). CONCLUSIONS: Advanced practice providers account for 1-in-5 postoperative opioid prescriptions and prescribe larger amounts per prescription relative to surgeons. Engaging all providers involved in postoperative care is necessary to understand prescribing practices, identify barriers to reducing prescribing, and tailor interventions accordingly.

Completion Lymph Node Dissection or Radiation Therapy for Sentinel Node Metastasis in Merkel Cell Carcinoma.

BACKGROUND: For sentinel lymph node (SLN) metastasis from Merkel cell carcinoma (MCC), the benefit of completion lymph node dissection (CLND) versus radiation therapy (RT) is unclear. This study compares outcomes for patients with SLN metastasis undergoing CLND or RT. We also evaluated positive non-SLNs as a prognostic factor. METHODS: Using a prospective database, we identified MCC patients with SLN metastasis who underwent CLND or RT. At our institution, CLND was recommended for patients with acceptable perioperative risk, while therapeutic RT was offered to those with high perioperative risk. Primary outcomes were MCC-specific survival (MCCSS), disease-free survival (DFS), nodal recurrence-free survival (NRFS), and distant recurrence-free survival (DRFS). RESULTS: From 2006 to 2017, 163 patients underwent CLND (n = 137) or RT (n = 26). Median follow-up was 1.9 years. CLND had no significant differences for MCCSS (5-year survival 71% vs. 64%, p = 1.0), DFS (52% vs. 61%, p = 0.8), NRFS (76% vs. 91%, p = 0.3), or DRFS (65% vs. 75%, p = 0.3) compared with RT. Patients with positive non-SLNs (n = 44) had significantly worse MCCSS (5-year survival 39% vs. 87%, p < 0.001), DFS (35% vs. 60%, p = 0.005), and DRFS (54% vs. 71%, p = 0.03) compared with negative non-SLNs (n = 93). Multivariate analysis showed positive non-SLNs were independently associated with MCCSS, DFS, and DRFS. CONCLUSIONS: CLND and RT may have similar outcomes for MCC patients with SLN metastasis when treatment aligns with our institutional practices. For patients undergoing CLND, positive non-SLNs is an important prognostic factor associated with poor survival and distant recurrence. This high-risk group should be considered for adjuvant systemic therapy trials.

The Impact of Education and Prescribing Guidelines on Opioid Prescribing for Breast and Melanoma Procedures.

BACKGROUND: Excessive opioid prescribing is common in surgical oncology, with 72% of prescribed opioids going unused after curative-intent surgery. In this study, we sought to reduce opioid prescribing after breast and melanoma procedures by designing and implementing an intervention focused on education and prescribing guidelines, and then evaluating the impact of this intervention. METHODS: In this single-institution study, we designed and implemented an intervention targeting key factors identified in qualitative interviews. This included mandatory education for prescribers, evidence-based prescribing guidelines, and standardized patient instructions. After the intervention, interrupted time-series analysis was used to compare the mean quantity of opioid prescribed before and after the intervention (July 2016-September 2017). We also evaluated the frequency of opioid prescription refills. RESULTS: During the study, 847 patients underwent breast or melanoma procedures and received an opioid prescription. For mastectomy or wide local excision for melanoma, the mean quantity of opioid prescribed immediately decreased by 37% after the intervention (p = 0.03), equivalent to 13 tablets of oxycodone 5 mg. For lumpectomy or breast biopsy, the mean quantity of opioid prescribed decreased by 42%, or 12 tablets of oxycodone 5 mg (p = 0.07). Furthermore, opioid prescription refills did not significantly change for mastectomy/wide local excision (13% vs. 14%, p = 0.8), or lumpectomy/breast biopsy (4% vs. 5%, p = 0.7). CONCLUSION: Education and prescribing guidelines reduced opioid prescribing for breast and melanoma procedures without increasing the need for refills. This suggests further reductions in opioid prescribing may be possible, and provides rationale for implementing similar interventions for other procedures and practice settings.

Effect of new persistent opioid use on physiologic and psychologic outcomes following bariatric surgery.

INTRODUCTION: New persistent opioid use following surgery is a common iatrogenic complication, developing in roughly 6% of patients after elective surgery. Despite increased awareness of misuse and associated morbidity, opioids remain the cornerstone of pain management in bariatric surgery. The potential impact of new persistent opioid use on long-term postoperative outcomes is unknown. We sought to determine the relationship between new persistent opioid use and 1-year postoperative outcomes for patients undergoing bariatric surgery. METHODS: Using data from the MBSC registry, we identified patients undergoing primary bariatric surgery between 2006 and 2016. Using previously validated patient-reported survey methodology, we evaluated patient opioid use preoperatively and at 1 year following surgery. New persistent use was defined as a previously opioid-naïve patient who self-reported opioid use 1 year after surgery. We used multivariable logistic regression models to evaluate the association between new persistent opioid use, risk-adjusted weight loss, and psychologic outcomes (psychological wellbeing, body image, and depression). RESULTS: 27,799 patients underwent primary bariatric surgery between 2006 and 2016. Among opioid-naïve patients, the rate of new persistent opioid use was 6.3%. At 1-year after surgery, patients with new persistent opioid user lost significantly less excess body weight compared to those without new persistent use (57.6% vs. 60.3%; p < 0.0001). Patients with new persistent opioid use had significantly worse psychological wellbeing (35.0 vs. 33.1; p < 0.0001), body image (19.9 vs. 18.0; p < 0.0001), and depression scores (2.4 vs. 5.0; p < 0.0001). New persistent opioid users also reported less overall satisfaction with their bariatric surgery (75.1% vs. 85.7%; p < 0.0001). CONCLUSIONS: New persistent opioid use is common following bariatric surgery and associated with significantly worse physiologic and psychologic outcomes. More effective screening and postoperative surveillance tools are needed to identify these patients, who likely require more aggressive counseling and treatment to maximize the benefits of bariatric surgery.

Specialist Physicians' Attitudes and Practice Patterns Regarding Disclosure of Pre-referral Medical Errors.

OBJECTIVE: Our objective was to determine specialist physicians' attitudes and practices regarding disclosure of pre-referral errors. SUMMARY BACKGROUND DATA: Physicians are encouraged to disclose their own errors to patients. However, no clear professional norms exist regarding disclosure when physicians discover errors in diagnosis or treatment that occurred at other institutions before referral. METHODS: We conducted semistructured interviews of cancer specialists from 2 National Cancer Institute-designated Cancer Centers. We purposively sampled specialists by discipline, sex, and experience-level who self-described a >50% reliance on external referrals (n = 30). Thematic analysis of verbatim interview transcripts was performed to determine physician attitudes regarding disclosure of pre-referral medical errors; whether and how physicians disclose these errors; and barriers to providing full disclosure. RESULTS: Participants described their experiences identifying different types of pre-referral errors including errors of diagnosis, staging and treatment resulting in adverse events ranging from decreased quality of life to premature death. The majority of specialists expressed the belief that disclosure provided no benefit to patients, and might unnecessarily add to their anxiety about their diagnoses or prognoses. Specialists had varying practices of disclosure including none, non-verbal, partial, event-dependent, and full disclosure. They identified a number of barriers to disclosure, including medicolegal implications and damage to referral relationships, the profession's reputation, and to patient-physician relationships. CONCLUSIONS: Specialist physicians identify pre-referral errors but struggle with whether and how to provide disclosure, even when clinical circumstances force disclosure. Education- or communication-based interventions that overcome barriers to disclosing pre-referral errors warrant development.

Opioid Prescribing After Curative-Intent Surgery: A Qualitative Study Using the Theoretical Domains Framework.

BACKGROUND: Excessive opioid prescribing is common after curative-intent surgery, but little is known about what factors influence prescribing behaviors among surgeons. To identify targets for intervention, we performed a qualitative study of opioid prescribing after curative-intent surgery using the Theoretical Domains Framework, a well-established implementation science method for identifying factors influencing healthcare provider behavior. METHODS: Prior to data collection, we constructed a semi-structured interview guide to explore decision making for opioid prescribing. We then conducted interviews with surgical oncology providers at a single comprehensive cancer center. Interviews were recorded, transcribed verbatim, then independently coded by two investigators using the Theoretical Domains Framework to identify theoretical domains relevant to opioid prescribing. Relevant domains were then linked to behavior models to select targeted interventions likely to improve opioid prescribing. RESULTS: Twenty-one subjects were interviewed from November 2016 to May 2017, including attending surgeons, resident surgeons, physician assistants, and nurses. Five theoretical domains emerged as relevant to opioid prescribing: environmental context and resources; social influences; beliefs about consequences; social/professional role and identity; and goals. Using these domains, three interventions were identified as likely to change opioid prescribing behavior: (1) enablement (deploy nurses during preoperative visits to counsel patients on opioid use); (2) environmental restructuring (provide on-screen prompts with normative data on the quantity of opioid prescribed); and (3) education (provide prescribing guidelines). CONCLUSIONS: Key determinants of opioid prescribing behavior after curative-intent surgery include environmental and social factors. Interventions targeting these factors are likely to improve opioid prescribing in surgical oncology.

Transitions of Care for Postoperative Opioid Prescribing in Previously Opioid-Naïve Patients in the USA: a Retrospective Review.

BACKGROUND: New persistent opioid use is a common postoperative complication, with 6% of previously opioid-naïve patients continuing to fill opioid prescriptions 3-6 months after surgery. Despite these risks, it is unknown which specialties prescribe opioids to these vulnerable patients. OBJECTIVE: To identify specialties prescribing opioids to surgical patients who develop new persistent opioid use. DESIGN, SETTING, AND PARTICIPANTS: Using a national dataset of insurance claims, we identified opioid-naïve patients aged 18-64 years undergoing surgical procedures (2008-2014) who continued filling opioid prescriptions 3 to 6 months after surgery. We then examined opioid prescriptions claims during the 12 months after surgery, and identified prescribing physician specialty using National Provider Identifier codes. MAIN MEASURES: Percentage of opioid prescriptions provided by each specialty evaluated at 90-day intervals during the 12 months after surgery. KEY RESULTS: We identified 5276 opioid-naïve patients who developed new persistent opioid use. During the first 3 months after surgery, surgeons accounted for 69% of opioid prescriptions, primary care physicians accounted for 13%, Emergency Medicine accounted for 2%, Physical Medicine & Rehabilitation (PM&R)/Pain Medicine accounted for 1%, and all other specialties accounted for 15%. In contrast, 9 to 12 months after surgery, surgeons accounted for only 11% of opioid prescriptions, primary care physicians accounted for 53%, Emergency Medicine accounted for 5%, PM&R/Pain Medicine accounted for 6%, and all other specialties provided 25%. CONCLUSIONS: Among surgical patients who developed new persistent opioid use, surgeons provide the majority of opioid prescriptions during the first 3 months after surgery. By 9 to 12 months after surgery, however, the majority of opioid prescriptions were provided by primary care physicians. Enhanced care coordination between surgeons and primary care physicians could allow earlier identification of patients at risk for new persistent opioid use to prevent misuse and dependence.

Abdominal aortic calcification and surgical outcomes in patients with no known cardiovascular risk factors.

INTRODUCTION: In the setting of cardiovascular (CV) risk evaluation before major elective surgery, current risk assessment tools are relatively poor for discriminating among patients. For example, patients with clinical CV risk factors can be clearly identified; but among those without appreciated clinical CV risk, there may be a subset with stigmata of CV disease noted during the preoperative radiographic evaluation. Our study evaluated the relationship between abdominal aortic (AA) calcification measured on preoperative computed tomography (CT) imaging and surgical complications in patients undergoing general elective and vascular surgery. We hypothesized that patients with no known CV risk factors but significant aortic calcification on preoperative imaging will have inferior surgical outcomes. METHODS: The study group included 1180 patients from the Michigan Surgical Quality Collaborative (MSQC) database who underwent major general or vascular elective surgery between 2006 and 2009 and who had a CT scan of the abdomen specifically for preoperative planning. AA calcification was measured using novel analytic morphomic techniques and reported as a percentage of the total wall area containing calcification. Patients were divided into cohorts by clinical CV risk and extent of AA calcification. Univariate analysis was used to compare postoperative morbidity between patient cohorts. Multivariate logistic regression analysis was used to compare continuous AA calcification with overall morbidity in patients with no clinical CV risk factors. RESULTS: AA calcification was strongly skewed to the right (53.5% had no AA calcification) and was significantly correlated with age (ρ = 0.43, P < 0.001). Unadjusted univariate analysis of morbidity showed no significant differences in complication rates between patients in the clinical CV risk and significant AA calcification (no known CV risk factor) categories. The clinical CV risk (P < 0.001) and significant AA calcification without CV risk factors (P = 0.009) populations both had significantly more infectious and overall complications than patients with no AA calcification and no clinical CV risk. Multivariate logistic regression confirmed that AA calcification was a significant predictor of morbidity in patients with no clinical CV risk factors (odds ratio = 1.35, P = 0.017). DISCUSSION: This study suggests that AA calcification may be related to progression of CV disease and surgical outcomes. A better understanding of the complex interaction of patient physiology with overall ability to recover from major surgery, using novel approaches such as analytic morphomics, has great potential to improve risk stratification and patient selection.

Analytic morphomics, core muscle size, and surgical outcomes.

OBJECTIVE: Assess the relationship between lean core muscle size, measured on preoperative cross-sectional images, and surgical outcomes. BACKGROUND: Novel measures of preoperative risk are needed. Analytic morphomic analysis of cross-sectional diagnostic images may elucidate vast amounts of patient-specific data, which are never assessed by clinicians. METHODS: The study population included all patients within the Michigan Surgical Quality Collaborative database with a computerized tomography(CT) scan before major, elective general or vascular surgery (N = 1453). The lean core muscle size was calculated using analytic morphomic techniques. The primary outcome measure was survival, whereas secondary outcomes included surgical complications and costs. Covariate adjusted outcomes were assessed using Kaplan-Meier analysis, multivariate cox regression, multivariate logistic regression, and generalized estimating equation methods. RESULTS: The mean follow-up was 2.3 years and 214 patients died during the observation period. The covariate-adjusted hazard ratio for lean core muscle area was 1.45 (P = 0.028), indicating that mortality increased by 45% per 1000 mm(2) decrease in lean core muscle area. When stratified into tertiles of core muscle size, the 1-year survival was 87% versus 95% for the smallest versus largest tertile, whereas the 3-year survival was 75% versus 91%, respectively (P < 0.003 for both comparisons). The estimated average risk of complications significantly differed and was 20.9%, 15.0%, and 12.3% in the lower, middle, and upper tertiles of lean core muscle area, respectively. Covariate-adjusted cost increased significantly by an estimated $10,110 per 1000 mm(2) decrease in core muscle size (P = 0.003). CONCLUSIONS: Core muscle size is an independent and potentially important preoperative risk factor. The techniques used to assess preoperative CT scans, namely analytic morphomics, may represent a novel approach to better understanding patient risk.

Management of pelvic sarcoma.

Pelvic sarcomas are a rare and heterogenous group of tumors divided into two groups: soft tissue sarcomas and bone sarcomas. Soft tissue sarcomas of the pelvis include most commonly liposarcoma, leiomyosarcoma, gastrointestinal stromal tumors, malignant peripheral nerve sheath tumors, and solitary fibrous tumors. Bone sarcomas of the pelvis most commonly include osteosarcoma and chondrosarcoma. Multidisciplinary treatment at a center experienced in the treatment of sarcoma is essential. Management is dictated by histologic type and grade. Surgical resection with wide margins is the cornerstone of treatment for pelvic sarcomas, although this is often challenging due to anatomic constraints of the pelvis. Multimodal treatment is critical due to the high risk of local recurrence in the pelvis.

Local anesthesia: a strategy for reducing surgical site infections?

BACKGROUND: Surgical site infections (SSIs) contribute to increased morbidity, mortality, and hospitalization costs. A previously unidentified factor that may reduce SSIs is the use of local anesthesia. The objective of this study was to determine if the use of local anesthesia is independently associated with a lower incidence of SSIs compared to nonlocal anesthesia. METHODS: Using the American College of Surgeons National Surgical Quality Improvement Program database (2005-2007), we identified all patients undergoing surgical procedures that could be performed using local or general anesthesia, depending on the preference of the surgeon. Logistic regression was used to identify factors independently associated with the use of local anesthesia. Propensity matching was then used to match local and nonlocal anesthesia cases while controlling for patient and operative characteristics. SSI rates were compared using a χ(2) test. RESULTS: Of 111,683 patients, 1928 underwent local anesthesia; and in 109,755 cases the patients were given general anesthesia where a local anesthetic potentially could have used. In the unmatched analysis, patients with local anesthesia had a significantly lower incidence of SSIs than patients with nonlocal anesthesia (0.7 vs. 1.4%, P = 0.013). Similarly, after propensity matching, the incidence of SSIs in patients given local anesthesia was significantly lower than for that of patients given nonlocal anesthesia (0.8 vs. 1.4%, P = 0.043). CONCLUSIONS: Use of local anesthesia is independently associated with a lower incidence of SSIs. It may provide a safe, simple approach to reducing the number of SSIs.

Prevalence and Patterns of Opioid Use Before and After Liver Transplantation.

BACKGROUND: Opioid use in liver transplantation is poorly understood and has potential associated morbidity. METHODS: Using a national data set of employer-based insurance claims, we identified 1257 adults who underwent liver transplantation between December 2009 and February 2015. We categorized patients based on their duration of opioid fills over the year before and after transplant admission as opioid-naive/no fills, chronic opioid use (≥120 d supply), and intermittent use (all other use). We calculated risk-adjusted prevalence of peritransplant opioid fills, assessed changes in opioid use after transplant, and identified correlates of persistent or increased opioid use posttransplant. RESULTS: Overall, 45% of patients filled ≥1 opioid prescription in the year before transplant (35% intermittent use, 10% chronic). Posttransplant, 61% of patients filled an opioid prescription 0-2 months after discharge, and 21% filled an opioid between 10-12 months after discharge. Among previously opioid-naive patients, 4% developed chronic use posttransplant. Among patients with pretransplant opioid use, 84% remained intermittent or increased to chronic use, and 73% of chronic users remained chronic users after transplant. Pretransplant opioid use (risk factor) and hepatobiliary malignancy (protective) were the only factors independently associated with risk of persistent or increased posttransplant opioid use. CONCLUSIONS: Prescription opioid use is common before and after liver transplant, with intermittent and chronic use largely persisting, and a small development of new chronic use posttransplant. To minimize the morbidity of long-term opioid use, it is critical to improve pain management and optimize opioid use before and after liver transplant.

Resident workload, pager communications, and quality of care.

With the recent regulations limiting resident work hours, it has become more important to understand how residents spend their time. The volume and content of the pages they receive provide a valuable source of information that give insight into their workload and help identify inefficiencies in hospital communication. We hypothesized that above a certain workload threshold, paging data would suggest breakdowns in communication and implications for quality of care. All pages sent to six general surgery interns at the University of Michigan over the course of one academic year (7/1/2008-6/30/2009) were retrospectively categorized by sender type, message type, message modifier, and message quality. Census, discharge, and admission information for each intern service were also collected, and intern duties were further analyzed with respect to schedule. "On-call" days were defined as days on which the intern bore responsibility for care of all admitted floor patients. The interns received a total of 9,843 pages during the study period. During on-call shifts, each intern was paged an average of 57 ± 3 times, and those on non-call shifts received an average of 12 ± 3 pages. Floor/intensive care unit (ICU) nurses represented 32% of the page volume received by interns. Interestingly, as patient volume increased, there was a decrease in the number of pages received per patient. By contrast, at higher patient volumes, there was a trend toward an increasing percentage of urgent pages per patient. At high intern workloads, our data suggest no major communication breakdowns but reveal the potential for inferior quality of care.