Naloxone co-prescriptions for surgery patients prescribed opioids: A retrospective cohort study

Background: Surgeon-prescribed opioids contribute to 11% of prescription drug overdoses in the United States (US). With prescription opioids involved in 24% of all opioid-related overdose deaths in 2020, the US Centers for Disease Control and Prevention (CDC) recommends naloxone co-prescribing to patients at high-risk of overdose and death as a harm reduction strategy. We sought to 1) examine naloxone co-prescribing rates to surgical patients (using common post-surgical prescribing amounts) and those with potential risk factors for opioid-related overdoses or adverse events, and 2) identify the factors associated with patients receiving naloxone co-prescriptions. Methods: We conducted a single-institution, retrospective study using the electronic medical records of all patients undergoing surgery at an academic institution between August 2020 and May 2021. We included post-surgical adults prescribed opioids that were sent to a pharmacy in our health system. The primary outcome was the percentage of co-prescribed naloxone in patients prescribed opioids. Results: The overall naloxone co-prescription rate was low (1.7%). Only 14.6% of patients prescribed ≥350 morphine milligram equivalents (MME, equivalent to 46.7 oxycodone 5 mg tablets) and 8.6% of patients using illicit drugs were co-prescribed naloxone. On multivariable analysis, patients who were prescribed >350 MME, used illicit drugs or tobacco, underwent an elective or emergent general surgery procedure, self-identified as Hispanic, or had ASA scores of 2-4 were more likely to receive a naloxone co-prescription. Conclusions: Naloxone co-prescribing after surgery remains low, even for high-risk patients. Harm reduction strategies such as naloxone, safe storage, and disposal of leftover opioids could reduce surgeons’ iatrogenic contributions to the worsening US opioid crisis

Quality care is equitable care: a call to action to link quality to achieving health equity within acute care surgery

Health equity is defined as the sixth domain of healthcare quality. Understanding health disparities in acute care surgery (defined as trauma surgery, emergency general surgery and surgical critical care) is key to identifying targets that will improve outcomes and ensure delivery of high-quality care within healthcare organizations. Implementing a health equity framework within institutions such that local acute care surgeons can ensure equity is a component of quality is imperative. Recognizing this need, the AAST (American Association for the Surgery of Trauma) Diversity, Equity and Inclusion Committee convened an expert panel entitled ‘Quality Care is Equitable Care’ at the 81st annual meeting in September 2022 (Chicago, Illinois). Recommendations for introducing health equity metrics within health systems include: (1) capturing patient outcome data including patient experience data by race, ethnicity, language, sexual orientation, and gender identity; (2) ensuring cultural competency (eg, availability of language services; identifying sources of bias or inequities); (3) prioritizing health literacy; and (4) measuring disease-specific disparities such that targeted interventions are developed and implemented. A stepwise approach is outlined to include health equity as an organizational quality indicator

Prospective Validation of the Emergency Surgery Score in Emergency General Surgery

BACKGROUND The Emergency Surgery Score (ESS) was recently developed and retrospectively validated as an accurate mortality risk calculator for emergency general surgery. We sought to prospectively validate ESS, specifically in the high-risk nontrauma emergency laparotomy (EL) patient. METHODS This is an Eastern Association for the Surgery of Trauma multicenter prospective observational study. Between April 2018 and June 2019, 19 centers enrolled all adults (aged \u3e18 years) undergoing EL. Preoperative, intraoperative, and postoperative variables were prospectively and systematically collected. Emergency Surgery Score was calculated for each patient and validated using c-statistic methodology by correlating it with three postoperative outcomes: (1) 30-day mortality, (2) 30-day complications (e.g., respiratory/renal failure, infection), and (3) postoperative intensive care unit (ICU) admission. RESULTS A total of 1,649 patients were included. The mean age was 60.5 years, 50.3% were female, and 71.4% were white. The mean ESS was 6, and the most common indication for EL was hollow viscus perforation. The 30-day mortality and complication rates were 14.8% and 53.3%; 57.0% of patients required ICU admission. Emergency Surgery Score gradually and accurately predicted 30-day mortality; 3.5%, 50.0%, and 85.7% of patients with ESS of 3, 12, and 17 died after surgery, respectively, with a c-statistic of 0.84. Similarly, ESS gradually and accurately predicted complications; 21.0%, 57.1%, and 88.9% of patients with ESS of 1, 6, and 13 developed postoperative complications, with a c-statistic of 0.74. Emergency Surgery Score also accurately predicted which patients required intensive care unit admission (c-statistic, 0.80). CONCLUSION This is the first prospective multicenter study to validate ESS as an accurate predictor of outcome in the EL patient. Emergency Surgery Score can prove useful for (1) perioperative patient and family counseling, (2) triaging patients to the intensive care unit, and (3) benchmarking the quality of emergency general surgery care

Prospective Validation of the Emergency Surgery Score in Emergency General Surgery

BACKGROUND The Emergency Surgery Score (ESS) was recently developed and retrospectively validated as an accurate mortality risk calculator for emergency general surgery. We sought to prospectively validate ESS, specifically in the high-risk nontrauma emergency laparotomy (EL) patient. METHODS This is an Eastern Association for the Surgery of Trauma multicenter prospective observational study. Between April 2018 and June 2019, 19 centers enrolled all adults (aged \u3e18 years) undergoing EL. Preoperative, intraoperative, and postoperative variables were prospectively and systematically collected. Emergency Surgery Score was calculated for each patient and validated using c-statistic methodology by correlating it with three postoperative outcomes: (1) 30-day mortality, (2) 30-day complications (e.g., respiratory/renal failure, infection), and (3) postoperative intensive care unit (ICU) admission. RESULTS A total of 1,649 patients were included. The mean age was 60.5 years, 50.3% were female, and 71.4% were white. The mean ESS was 6, and the most common indication for EL was hollow viscus perforation. The 30-day mortality and complication rates were 14.8% and 53.3%; 57.0% of patients required ICU admission. Emergency Surgery Score gradually and accurately predicted 30-day mortality; 3.5%, 50.0%, and 85.7% of patients with ESS of 3, 12, and 17 died after surgery, respectively, with a c-statistic of 0.84. Similarly, ESS gradually and accurately predicted complications; 21.0%, 57.1%, and 88.9% of patients with ESS of 1, 6, and 13 developed postoperative complications, with a c-statistic of 0.74. Emergency Surgery Score also accurately predicted which patients required intensive care unit admission (c-statistic, 0.80). CONCLUSION This is the first prospective multicenter study to validate ESS as an accurate predictor of outcome in the EL patient. Emergency Surgery Score can prove useful for (1) perioperative patient and family counseling, (2) triaging patients to the intensive care unit, and (3) benchmarking the quality of emergency general surgery care

Unplanned readmission after emergency laparotomy: A post hoc analysis of an EAST multicenter study

Hospital readmission is an important quality-of-care indicator. We sought to examine the rates and predictors of unplanned readmission for the high-risk non-trauma emergency laparotomy patient. This is a post hoc analysis of a multicenter prospective observational study. Between April 2018 and June 2019, a total of 19 centers enrolled all adult patients undergoing emergency laparotomies and systematically collected preoperative, operative, and 30-day postoperative variables. For the purpose of this study, we defined unplanned readmission as a readmission occurring within 30 days from discharge and one that was immediately preceded by an emergency department visit. Patients were excluded if they died during the index admission, were discharged to hospice, or were transferred to other hospitals. Predictors of unplanned readmission were evaluated using a multivariable logistic regression model, adjusting for patient demographics, comorbidities, laboratory variables, and preoperative acuity of disease variables. A total of 1,347 patients were included, of which 234 (17.4%) had an unplanned readmission. The median patient age was 60 y, 49.4% were male, and 71.4% were white. The most common diagnoses were hollow viscus perforation (28.1%) and small bowel obstruction (24.5%). Predictors of unplanned readmission included patient factors (eg, disseminated cancer [odds ratio: 2.22, confidence interval: 1.35-3.64, P = .002], weight loss >10% in the past 6 months [odds ratio: 1.65, confidence interval: 1.07-2.54, P = .023], dyspnea at baseline [odds ratio: 1.62, confidence interval: 1.06-2.48, P = .026], wound complications [odds ratio: 2.23, confidence interval: 1.55-3.19, P < .001], and discharge to nursing homes [odds ratio: 1.68, confidence interval: 1.02-2.80, P = .044]). Unplanned readmission after emergency laparotomies are common, especially for patients with wound complications or requiring nursing homes. These system factors are potential quality improvement targets to reduce readmissions