The overlooked factor: The impact of disability on postoperative complications after emergency general surgery procedures.

BACKGROUND: Despite more than 61 million people in the United States living with a disability, studies on the impact of disability on health care disparities in surgical patients remain limited. Therefore, we aimed to understand the impact of disability on postoperative outcomes. METHODS: We performed a retrospective cohort study using the Nationwide Readmission Database (2019). We compared patients ≥18 years undergoing emergency general surgery procedures with a disability condition with those without a disability. In accordance with the Centers for Disease Control and Prevention, disability was defined as severe hearing, visual, intellectual, or motor impairment/caregiver dependency. The primary outcome was 30-day readmission rates. Secondary outcomes included hospital length of stay and 30-day complications and mortality. Patients were 1:1 propensity-matched using patient, procedure, and hospital characteristics. RESULTS: Among our population of 378,733 patients, 5,877 (1.6%) patients had at least 1 disability condition. A higher proportion of patients with a disability had low household income, $1 to $45,999, and an Elixhauser Comorbidity score ≥3. Among 5,768 matched pairs, patients with a disability had a significantly higher incidence of 30-day readmission (17.2% vs 12.7%; P < .001), infectious complications (29.8% vs 19.5%; P < .001), and a longer length of stay (8 vs 6 days; P < .001). Motor impairment, the most common disability, was associated with the greatest increase in patient readmission, morbidity, and length of stay. CONCLUSION: Severe intellectual, hearing, visual, or motor impairments were associated with higher readmission, morbidity, and longer length of stay. Further research is needed to understand the mechanisms responsible for these disparities and to develop interventions to ameliorate them.

Patience is key: Association of surgical timing with clinical outcomes in elderly patients with sigmoid volvulus.

BACKGROUND: Current guidelines for sigmoid volvulus recommend endoscopy as a first line of treatment for decompression, followed by colectomy as early as possible. Timing of the latter varies greatly. This study compared early (≤2 days) versus delayed (>2 days) sigmoid colectomy. METHODS: 2016-2019 NRD database was queried to identify patients aged ≥65 years admitted for sigmoid volvulus who underwent sequential endoscopic decompression and sigmoid colectomy. Outcomes included mortality, complications, hospital length of stay, readmissions, and hospital costs. RESULTS: 842 patients were included, of which 409 (48.6 â€‹%) underwent delayed sigmoid colectomy. Delayed sigmoid colectomy was associated with reduced cardiac complications (1.1 â€‹% vs 0.0 â€‹%, p â€‹= â€‹0.045), reduced ostomy rate (38.3 â€‹% vs 29.4 â€‹%, p â€‹= â€‹0.013), an increased overall length of stay (12 days vs 8 days, p â€‹< â€‹0.001) and increased overall costs (27,764 dollar vs. 24,472 dollar, p â€‹< â€‹0.001). CONCLUSION: In geriatric patient with sigmoid volvulus, delayed surgical resection after decompression is associated with reduced cardiac complications and reduced ostomy rate, while increasing overall hospital length of stay and costs.

Missing Narrative: Examining the Impact of Disability on Post-Operative Infectious Complications.

Background: More than 20% of the population in the United States suffers from a disability, yet the impact of disability on post-operative outcomes remains understudied. This analysis aims to characterize post-operative infectious complications in patients with disability. Patients and Methods: This was a retrospective review of the National Readmission Database (2019) among patients undergoing common general surgery procedures. As per the U.S. Centers for Disease Control and Prevention (CDC), disability was defined as severe hearing, visual, intellectual, or motor impairment/caregiver dependency. A propensity-matched analysis comparing patients with and without a disability was performed to compare outcomes, including post-operative septic shock, sepsis, bacteremia, pneumonia, catheter-associated urinary tract infection (CAUTI), urinary tract infection (UTI), catheter-associated blood stream infection, Clostridioides Difficile infection, and superficial, deep, and organ/space surgical site infections during index hospitalization. Patients were matched using age, gender, comorbidities, illness severity, income, neighborhood, insurance, elective procedure, and the hospital's bed size and type. Results: A total of 710,548 patients were analysed, of whom 9,451(1.3%) had at least one disability. Motor disability was the most common (3,762; 40.5%), followed by visual, intellectual, and hearing impairment. Patients with disability were older (64 vs. 57 years; p < 0.001), more often insured under Medicare (65.2% vs. 37.3% p < 0.001) and had more medical comorbidities (Elixhauser comorbidity score ≥3; 69.2% vs. 41.9%; p < 0.001). After matching, 9,292 pairs were formed. Patients with a disability had a higher incidence of pneumonia (10.1% vs. 6.5%; p < 0.001), aspiration pneumonia (5.2% vs. 1.4%; p < 0.001), CAUTI (1.0% vs. 0.4%; p < 0.001), UTI (10.4% vs. 6.2%; p < 0.001), and overall infectious complications (21.8% vs. 14.5%; p < 0.001). Conclusions: Severe intellectual, hearing, visual, or motor impairments were associated with a higher incidence of infectious complications. Further investigation is needed to develop interventions to reduce disparities among this high-risk population.

Burden of Social and Behavioral Determinants of Health on Infectious Complications in Emergency General Surgery.

Background: Infectious complications lead to worse post-operative outcomes and are used to compare hospital performance in pay-for-performance programs. However, the impact of social and behavioral determinants of health on infectious complication rates after emergency general surgery (EGS) remains unclear. Patients and Methods: All patients undergoing EGS in the 2019 Nationwide Readmissions Database were included. The primary outcome of the study was the rate of infectious complications within 30 days, defined as a composite outcome including all infectious complications occurring during the index hospitalization or 30-day re-admission. Secondary outcomes included specific infectious complication rates. Multivariable regression analyses were used to study the impact of patient characteristics, social determinants of health (insurance status, median household income in the patient's residential zip code), and behavioral determinants of health (substance use disorders, neuropsychiatric comorbidities) on post-operative infection rates. Results: Of 367,917 patients included in this study, 20.53% had infectious complications. Medicare (adjusted odds ratio [aOR], 1.3; 95% confidence interval [CI], 1.26-1.34; p < 0.001), Medicaid (aOR, 1.24; 95% CI,1.19-1.29; p < 0.001), lowest zip code income quartile (aOR, 1.17; 95% CI, 1.13-1.22; p < 0.001), opioid use disorder (aOR,1.18; 95% CI,1.10-1.29; p < 0.001), and neurodevelopmental disorders (aOR, 2.16; 95% CI, 1.90-2.45; p < 0.001) were identified as independent predictors of 30-day infectious complications. A similar association between determinants of health and infectious complications was also seen for pneumonia, urinary tract infection (UTI), methicillin-resistant Staphylococcus aureus (MRSA) sepsis, and catheter-association urinary tract infection (CAUTI). Conclusions: Social and behavioral determinants of health are associated with a higher risk of developing post-operative infectious complications in EGS. Accounting for these factors in pay-for-performance programs and public reporting could promote fairer comparisons of hospital performance.

Development of a Machine Learning-Based Prescriptive Tool to Address Racial Disparities in Access to Care After Penetrating Trauma.

Importance: The use of artificial intelligence (AI) in clinical medicine risks perpetuating existing bias in care, such as disparities in access to postinjury rehabilitation services. Objective: To leverage a novel, interpretable AI-based technology to uncover racial disparities in access to postinjury rehabilitation care and create an AI-based prescriptive tool to address these disparities. Design, Setting, and Participants: This cohort study used data from the 2010-2016 American College of Surgeons Trauma Quality Improvement Program database for Black and White patients with a penetrating mechanism of injury. An interpretable AI methodology called optimal classification trees (OCTs) was applied in an 80:20 derivation/validation split to predict discharge disposition (home vs postacute care [PAC]). The interpretable nature of OCTs allowed for examination of the AI logic to identify racial disparities. A prescriptive mixed-integer optimization model using age, injury, and gender data was allowed to "fairness-flip" the recommended discharge destination for a subset of patients while minimizing the ratio of imbalance between Black and White patients. Three OCTs were developed to predict discharge disposition: the first 2 trees used unadjusted data (one without and one with the race variable), and the third tree used fairness-adjusted data. Main Outcomes and Measures: Disparities and the discriminative performance (C statistic) were compared among fairness-adjusted and unadjusted OCTs. Results: A total of 52 468 patients were included; the median (IQR) age was 29 (22-40) years, 46 189 patients (88.0%) were male, 31 470 (60.0%) were Black, and 20 998 (40.0%) were White. A total of 3800 Black patients (12.1%) were discharged to PAC, compared with 4504 White patients (21.5%; P < .001). Examining the AI logic uncovered significant disparities in PAC discharge destination access, with race playing the second most important role. The prescriptive fairness adjustment recommended flipping the discharge destination of 4.5% of the patients, with the performance of the adjusted model increasing from a C statistic of 0.79 to 0.87. After fairness adjustment, disparities disappeared, and a similar percentage of Black and White patients (15.8% vs 15.8%; P = .87) had a recommended discharge to PAC. Conclusions and Relevance: In this study, we developed an accurate, machine learning-based, fairness-adjusted model that can identify barriers to discharge to postacute care. Instead of accidentally encoding bias, interpretable AI methodologies are powerful tools to diagnose and remedy system-related bias in care, such as disparities in access to postinjury rehabilitation care.

The Beirut Port Explosion Injuries and Lessons Learned: Results of the Beirut Blast Assessment for Surgical Services (BASS) Multicenter Study.

OBJECTIVE: This multicenter study aims to describe the injury patterns, emergency management and outcomes of the blast victims, recognize the gaps in hospital disaster preparedness, and identify lessons to be learned. SUMMARY BACKGROUND DATA: On August 4th, 2020, the city of Beirut, Lebanon suffered the largest urban explosion since Hiroshima and Nagasaki, resulting in hundreds of deaths and thousands of injuries. METHODS: All injured patients admitted to four of the largest Beirut hospitals within 72 hours of the blast, including those who died on arrival or in the emergency department (ED), were included. Medical records were systematically reviewed for: patient demographics and comorbidities; injury severity and characteristics; prehospital, ED, operative, and inpatient interventions; and outcomes at hospital discharge. Lessons learned are also shared. RESULTS: An estimated total of 1818 patients were included, of which 30 died on arrival or in the ED and 315 were admitted to the hospital. Among admitted patients, the mean age was 44.7 years (range: 1 week-93 years), 44.4% were female, and the median injury severity score (ISS) was 10 (5, 17). ISS was inversely related to the distance from the blast epicenter (r = --0.18, P = 0.035). Most injuries involved the upper extremities (53.7%), face (42.2%), and head (40.3%). Mildly injured (ISS <9) patients overwhelmed the ED in the first 2 hours; from hour 2 to hour 8 post-injury, the number of moderately, severely, and profoundly injured patients increased by 127%, 25% and 17%, respectively. A total of 475 operative procedures were performed in 239 patients, most commonly soft tissue debridement or repair (119 patients, 49.8%), limb fracture fixation (107, 44.8%), and tendon repair (56, 23.4%). A total of 11 patients (3.5%) died during the hospitalization, 56 (17.8%) developed at least 1 complication, and 51 (16.2%) were discharged with documented long-term disability. Main lessons learned included: the importance of having key hospital functions (eg, laboratory, operating room) underground; the nonadaptability of electronic medical records to disasters; the ED overwhelming with mild injuries, delay in arrival of the severely injured; and the need for realistic disaster drills. CONCLUSIONS: We, therefore, describe the injury patterns, emergency flow and trauma outcome of patients injured in the Beirut port explosion. The clinical and system-level lessons learned can help prepare for the next disaster.

The Emergency Surgery Score is a powerful predictor of outcomes across multiple surgical specialties: Results of a retrospective nationwide analysis.

BACKGROUND: The Emergency Surgery Score was recently validated in a prospective multicenter study as an accurate predictor of mortality in emergency general surgery patients. The Emergency Surgery Score is easily calculated using multiple demographic, comorbidity, laboratory, and acuity of disease variables. We aimed to investigate whether the Emergency Surgery Score can predict 30-day postoperative mortality across patients undergoing emergency surgery in multiple surgical specialties. METHODS: Our study is a retrospective cohort study using data from the national American College of Surgeons National Surgical Quality Improvement Program database (2007-2017). We included patients that underwent emergency gynecologic, urologic, thoracic, neurosurgical, orthopedic, vascular, cardiac, and general surgical procedures. The Emergency Surgery Score was calculated for each patient, and the correlation between the Emergency Surgery Score and 30-day mortality was assessed for each specialty using the c-statistics methodology. RESULTS: Of 6,485,915 patients, 173,890 patients were included. The mean age was 60 years, 50.6% were female patients, and the overall mortality was 9.7%. The Emergency Surgery Score predicted mortality best in emergency gynecologic, general, and urologic surgery (c-statistics: 0.97, 0.87, 0.81, respectively). The Emergency Surgery Score predicted mortality moderately well in emergency thoracic, neurosurgical, orthopedic, and vascular surgery (c-statistics 0.73-0.79). For example, the mortality of gynecology patients with an Emergency Surgery Score of 5, 9, and 13 was 2%, 27%, and 50%, respectively. The Emergency Surgery Score performed poorly in cardiac surgery. CONCLUSION: The Emergency Surgery Score accurately predicts mortality across patients undergoing emergency surgery in multiple surgical specialties, especially general, gynecologic, and urologic surgery. The Emergency Surgery Score can prove useful for perioperative patient counseling and for benchmarking the quality of surgical care.

No news is good news? Three-year postdischarge mortality of octogenarian and nonagenarian patients following emergency general surgery.

BACKGROUND: Outcome data on the very elderly patients undergoing emergency general surgery (EGS) are sparse. We sought to examine short- and long-term mortality in the 80 plus years population following EGS. METHODS: Using our institutional 2008-2018 EGS Database, all the 80 plus years patients undergoing EGS were identified. The data were linked to the Social Security Death Index to determine cumulative mortality rates up to 3 years after discharge. Univariate and multivariable logistic regression analyses were used to determine predictors of in-hospital and 1-year cumulative mortality. RESULTS: A total of 385 patients were included with a mean age of 84 years; 54% were female. The two most common comorbidities were hypertension (76.1%) and cardiovascular disease (40.5%). The most common procedures performed were colectomy (20.0%), small bowel resection (18.2%), and exploratory laparotomy for other procedures (15.3%; e.g., internal hernia, perforated peptic ulcer). The overall in-hospital mortality was 18.7%. Cumulative mortality rates at 1, 2, and 3 years after discharge were 34.3%, 40.5%, and 43.4%, respectively. The EGS procedure associated with the highest 1-year mortality was colectomy (49.4%). Although hypertension, renal failure, hypoalbuminemia, hyperbilirubinemia, and elevated liver enzymes predicted in-hospital mortality, the only independent predictors of cumulative 1-year mortality were hypoalbuminemia (odds ratio, 2.17; 95% confidence interval, 1.10-4.27; p = 0.025) and elevated serum glutamic pyruvic transaminase (SGOT) level (odds ratio, 2.56; 95% confidence interval, 1.09-4.70; p = 0.029) at initial presentation. Patients with both factors had a cumulative 1-year mortality rate of 75.0%. CONCLUSION: More than half of the very elderly patients undergoing major EGS were still alive at 3 years postdischarge. The combination of hypoalbuminemia and elevated liver enzymes predicted the highest 1-year mortality. Such information can prove useful for patient and family counseling preoperatively. LEVEL OF EVIDENCE: Prognostic, Level III.

A Nationwide, Systematic, and Comprehensive Assessment of Surgical Capacity in Lebanon: Results of the Surgical Capacity in Areas With Refugees (SCAR) Study.

OBJECTIVE: We sought to perform a systematic, comprehensive, and nationwide cross-sectional analysis of surgical capacity in Lebanon. BACKGROUND: Providing surgical care in refugee areas is increasingly recognized as a global health priority. The surgical capacity of Lebanon where at least 1 in 6 inhabitants is currently a refugee remains unknown. METHODS: The Surgical Capacity in Areas with Refugees cross-sectional study included 3 steps: (1) geographically mapping all hospitals providing surgical care in Lebanon, (2) systematically assessing each hospital's surgical capacity, and (3) identifying surgical care gaps/disparities. First, a list of hospitals in Lebanon and their locations was generated combining data from the Lebanese Ministry of Health and Syndicate of Hospitals. Specialty, rehabilitation, and maternity facilities were excluded. Second, the validated 5 domain Personnel, Infrastructure, Procedures, Equipment, and Supplies (PIPES) tool was administered in each hospital through a face-to-face or phone interview. Hospitals' PIPES indices were computed; data were aggregated and analyzed for geographic and private/public disparities. RESULTS: A total of 129 hospitals were geographically mapped; 20% were public. The PIPES tool was administered in all hospitals (100%). The mean PIPES index was 10.98 (Personnel = 14.91, Infrastructure = 15.36, Procedures = 37.47, Equipment = 21.63, Supplies = 24.78). The number of hospital beds, operating rooms, surgeons, and anesthesiologists per 100,000 people were 217, 8, 16, and 9, respectively. Deficiencies in infrastructure were significant, whereby 62%, 36%, 16%, and 5% of hospitals lack incinerators, pretested blood, intensive care units, and computed tomography, respectively. Continuous external electricity was lacking in 16 hospitals (12%). Compared to private hospitals, public hospitals had a lower PIPES index (10.48 vs 11.1, P = 0.022), including lower Personnel and Infrastructure scores (12.31 vs 15.57, P = 0.03; 14.04 vs 15.7, P = 0.003, respectively). Geographically, the administrative governorates with highest refugee concentrations had the lowest PIPES indices. CONCLUSIONS: Evaluating surgical capacity in Lebanon reveals significant deficiencies, most pronounced in public hospitals in which refugee care is provided and in areas with the highest refugee concentration.

Spontaneous Retroperitoneal and Rectus Sheath Hemorrhage-Management, Risk Factors and Outcomes.

BACKGROUND: Spontaneous retroperitoneal and rectus sheath hemorrhage (SRRSH) is associated with high mortality in the literature, but studies on the subject are lacking. The objective of this study was to identify early predictors of the need for angiographic or surgical intervention (ASI) in patients with SRRSH and define risk factors for mortality. METHODS: We conducted a retrospective cohort study at a tertiary academic hospital. All patients with computed tomography-identified SRRSH between 2012 to 2017 were included. Exclusion criteria were age below 18 years, possible mechanical cause of SRRSH, aortic aneurysm rupture or dissection, and traumatic or iatrogenic sources of SRRSH. The primary outcome was the incidence of ASI and/or mortality. RESULTS: Of 100 patients included (median age 70 years, 52% males), 33% were transferred from another hospital, 82% patients were on therapeutic anticoagulation, and 90% had serious comorbidities. Overall mortality was 22%, but SRRSH-related mortality was only 6%. Sixteen patients underwent angiographic intervention (n = 10), surgical intervention (n = 5), or both (n = 1). Flank pain (OR 4.15, 95% CI 1.21-14.16, p = 0.023) and intravenous contrast extravasation (OR 3.89, 95% CI 1.23-12.27, p = 0.020) were independent predictors of ASI. Transfer from another hospital (OR 3.72, 95% CI 1.30-10.70, p = 0.015), age above 70 years (OR 4.24, 95% CI 1.25-14.32, p = 0.020), and systolic blood pressure below 110 mmHg at the time of diagnosis (OR 4.59, 95% CI 1.19-17.68, p = 0.027) were independent predictors of mortality. CONCLUSIONS: SRRSH is associated with high mortality but is typically not the direct cause. Most SRRSHs are self-limited and require no intervention. Pattern identification of ASI is hard.

Refugee Access to Surgical Care in Lebanon: A Post Hoc Analysis of the SCAR Study.

BACKGROUND: Lebanon hosts an estimated one million Syrian refugees registered with the United Nations High Commissioner for Refugees (UNHCR). The UNHCR contracts with select Lebanese hospitals to provide affordable primary and emergency care to refugees. We aimed to assess the surgical capabilities of UNHCR-affiliated hospitals in Lebanon. METHODS: Cross-sectional data from the Surgical Capacity in Areas with Refugees study were combined with hospital affiliation data obtained from the UNHCR. The Surgical Capacity in Areas with Refugees study evaluated surgical capacity in Lebanon by mapping all acute care hospitals and administering the five domain Personnel, Infrastructure, Procedures, Equipment, and Supplies (PIPES) tool to each hospital. Mean PIPES indices and mean numbers of hospital beds, surgeons, and anesthesiologists were compared between UNHCR-affiliated and nonaffiliated hospitals. Geographically, the distribution of UNHCR-affiliated hospitals was cross-referenced with refugee population distributions. RESULTS: One hundred and twenty nine hospitals were included, 35 (27.1%) of which were affiliated with the UNHCR. The PIPES tool was administered across all hospitals. Mean PIPES indices and mean number of hospital beds, general surgeons, and anesthesiologists were similar between UNHCR-affiliated and nonaffiliated hospitals. Geographical mapping of hospitals and refugee populations across Lebanon revealed a disparity in the Northeastern region of the country: that region had the highest number of refugees but lacked sufficient UNHCR coverage. CONCLUSIONS: Hospitals covered by the UNHCR performed similarly to nonaffiliated hospitals with respect to all aspects of the PIPES surgical capacity tool. However, there is a concerning geographic mismatch between UNHCR coverage and refugee density, specifically in the governorates of Akkar, Bekaa, and Baalbek-Hermel.

Can the emergency surgery score (ESS) be used as a triage tool predicting the postoperative need for an ICU admission?

BACKGROUND: The emergency surgery score (ESS) is a preoperative risk calculator recently validated as a mortality predictor in emergency surgery (ES) patients. We sought to evaluate the utility of ESS as an ICU admission triage tool. METHODS: A four-step methodology was designed. First, the 2007-2015 ACS-NSQIP database was examined to identify all ES patients using the "emergent" variable and CPT codes for "digestive system". Second, we created a composite variable called ICUneed, defined as death or the development of one or more postoperative complication warranting critical care (e.g. unplanned intubation, ventilator dependent ≥48 h, cardiac arrest, septic shock and coma ≥24 h). Third, for each patient, ESS was calculated. Fourth, the correlation between ESS and ICUneed was assessed by calculating the model c-statistics (AUROC). RESULTS: Out of a total of 4,456,809 patients, 65,989 patients were included. The mean population age was 56 years; 51% were female, and 71% were white. The overall 30-day postoperative mortality and morbidity were 8.2% and 31.7%, respectively. ESS gradually and accurately predicted ICUneed, with 1%, 40% and 98% of patients with ESS of 2, 9 and 16 requiring critical care, respectively. Only 6.2% of patients with ESS ≤7 had an ICUneed, while 97.2% of patients with ESS ≥15 had an ICUneed. The c-statistic of the predictive model was 0.90. CONCLUSIONS: ESS accurately predicts the need for postoperative critical care and ICU admission. In resource-limited settings, ESS may prove useful as an ICU triage tool ensuring a prompt rescue of the clinically deteriorating patient without unnecessary and burdensome ICU admissions.

The Surgeon as the Second Victim? Results of the Boston Intraoperative Adverse Events Surgeons' Attitude (BISA) Study.

BACKGROUND: An intraoperative adverse event (iAE) is often directly attributable to the surgeon's technical error and/or suboptimal intraoperative judgment. We aimed to examine the psychological impact of iAEs on surgeons as well as the surgeons' attitude about iAE reporting. STUDY DESIGN: We conducted a web-based cross-sectional survey of all surgeons at 3 major teaching hospitals of the same university. The 29-item questionnaire was developed using a systematic closed and open approach focused on assessing the surgeons' personal account of iAE incidence, emotional response to iAEs, available support systems, and perspective about the barriers to iAE reporting. RESULTS: The response rate was 44.8% (n = 126). Mean age of respondents was 49 years, 77% were male, and 83% performed >150 procedures/year. During the last year, 32% recalled 1 iAE, 39% recalled 2 to 5 iAEs, and 9% recalled >6 iAEs. The emotional toll of iAEs was significant, with 84% of respondents reporting a combination of anxiety (66%), guilt (60%), sadness (52%), shame/embarrassment (42%), and anger (29%). Colleagues constituted the most helpful support system (42%) rather than friends or family; a few surgeons needed psychological therapy/counseling. As for reporting, 26% preferred not to see their individual iAE rates, and 38% wanted it reported in comparison with their aggregate colleagues' rate. The most common barriers to reporting iAEs were fear of litigation (50%), lack of a standardized reporting system (49%), and absence of a clear iAE definition (48%). CONCLUSIONS: Intraoperative AEs occur often, have a significant negative impact on surgeons' well-being, and barriers to transparency are fear of litigation and absence of a well-defined reporting system. Efforts should be made to support surgeons and standardize reporting when iAEs occur.

Impact of a State Law on Physician Practice in Sports-Related Concussions.

OBJECTIVE: To determine physician-reported adherence to and support of the 2010 Massachusetts youth concussion law, as well as barriers to care and clinical practice in the context of legislation. STUDY DESIGN: Primary care physicians (n = 272) in a large pediatric network were eligible for a cross-sectional survey in 2014. Survey questions addressed key policy and practice provisions: concussion knowledge, state regulations and training, practice patterns, referrals, patient characteristics, and barriers to care. Analyses explored relationships between practice and policy, adjusting for physician demographic and practice characteristics. RESULTS: The survey response rate was 64% among all responders (173 of 272). A total of 146 respondents who had evaluated, treated, or referred patients with a suspected sports-related concussion in the previous year were eligible for analysis. The vast majority (90%) of providers agreed that the current Massachusetts laws regarding sports concussions are necessary and support the major provisions. Three-quarters (74%) had taken a required clinician training course on concussions. Those who took training courses were significantly more likely to develop individualized treatment plans (OR, 3.6; 95% CI, 1.1-11.0). Physician training did not improve screening of youth with concussion for depression or substance use. Most physicians (77%) advised patients to refrain from computer, telephone, or television for various time periods. Physicians reported limited communication with schools. CONCLUSIONS: Primary care physicians report being comfortable with the diagnosis and management of concussions, and support statewide regulations; however, adherence to mandated training and specific legal requirements varied. Broader and more frequent training may be necessary to align current best evidence with clinical care and state-mandated practice.

The nature, patterns, clinical outcomes, and financial impact of intraoperative adverse events in emergency surgery.

BACKGROUND: Little is known about intraoperative adverse events (iAEs) in emergency surgery (ES). We sought to describe iAEs in ES and to investigate their clinical and financial impact. METHODS: The 2007 to 2012 administrative and American College of Surgeons-National Surgical Quality Improvement Program databases at our tertiary academic center were: (1) linked, (2) queried for all ES procedures, and then (3) screened for iAEs using the ICD-9-CM-based Patient Safety Indicator "accidental puncture/laceration". Flagged cases were systematically reviewed to: (1) confirm or exclude the occurrence of iAEs (defined as inadvertent injuries during the operation) and (2) extract additional variables such as procedure type, approach, complexity (measured by relative value units), need for adhesiolysis, and extent of repair. Univariate and multivariate analyses were performed to assess the independent impact of iAEs on 30-day morbidity, mortality, and hospital charges. RESULTS: Of a total of 9,288 patients, 1,284 (13.8%) patients underwent ES, of which 23 had iAEs (1.8%); 18 of 23 (78.3%) of the iAEs involved the small bowel or spleen, 10 of 23 (43.5%) required suture repair, and 8 of 23 (34.8%) required tissue or organ resection. Compared with those without iAEs, patients with iAEs were older (median age 62 vs 50; P = .04); their procedures were more complex (total relative value unit 46.7, interquartile range [27.5 to 52.6] vs 14.5 [.5 to 30.2]; P < .001), longer in duration (>3 hours: 52% vs 8%; P < .001), and more often required adhesiolysis (39.1% vs 13.5% P = .001). Patients with iAEs had increased total charges ($31,080 vs $11,330, P < .001), direct charges ($20,030 vs $7,387, P < .001), and indirect charges ($11,460 vs $4,088, P < .001). On multivariable analyses, iAEs were independently associated with increased 30-day morbidity (odds ratio, 3.56 [CI, 1.10 to 11.54]; P = .03) and prolonged postoperative length of stay (LOS; LOS >7 days; odds ratio, 5.60 [1.54 to 20.35]; P = .01]. A trend toward increased mortality did not reach statistical significance. CONCLUSIONS: In ES, iAEs are independently associated with significantly higher postoperative morbidity and prolonged LOS.

Nutrition in the Surgical Intensive Care Unit: The Cost of Starting Low and Ramping Up Rates.

BACKGROUND: Calorie/protein deficit in the surgical intensive care unit (SICU) is associated with worse clinical outcomes. It is customary to initiate enteral nutrition (EN) at a low rate and increase to goal (RAMP-UP). Increasing evidence suggests that RAMP-UP may contribute to iatrogenic malnutrition. We sought to determine what proportion of total SICU calorie/protein deficit is attributable to RAMP-UP. MATERIALS AND METHODS: This is a retrospective study of a prospectively collected registry of adult patients (N = 109) receiving at least 72 hours of EN in the SICU according to the RAMP-UP protocol (July 2012-June 2014). Subjects receiving only trophic feeds or with interrupted EN during RAMP-UP were excluded. Deficits were defined as the amount of prescribed calories/protein minus the actual amount received. RAMP-UP deficit was defined as the deficit between EN initiation and arrival at goal rate. Data included demographics, nutritional prescription/delivery, and outcomes. RESULTS: EN was started at a median of 34.0 hours (interquartile range [IQR], 16.5-53.5) after ICU admission, with a mean duration of 8.7 ± 4.3 days. The median total caloric deficit was 2185 kcal (249-4730), with 900 kcal (551-1562) attributable to RAMP-UP (41%). The protein deficit was 98.5 g (27.5-250.4), with 51.9 g (20.6-83.3) caused by RAMP-UP (53%). CONCLUSIONS: In SICU patients initiating EN, the RAMP-UP period accounted for 41% and 53% of the overall caloric and protein deficits, respectively. Starting EN immediately at goal rate may eliminate a significant proportion of macronutrient deficit in the SICU.

Health care utilization and charges following the enactment of the 2007 Graduated Drivers Licensing Law in Massachusetts.

BACKGROUND: Graduated Drivers Licensing (GDL) programs phase in driving privileges for teenagers. In 2007, Massachusetts implemented a stricter version of the 1998 GDL law, with increased fines and education. This study evaluated the impact of the law on motor vehicle crash (MVC)-related health care utilization and charges. METHODS: Massachusetts government and US Census Bureau data were analyzed to compare the rates of MVC-related emergency department (ED) visits and hospital charges before (2002-2006) and after (2007-2011) the 2007 GDL law. Three driver age groups were studied: 16-17 (evaluating the law effect), 18-20 (evaluating the sustainability of the effect), and 25-29 years old (control group). RESULTS: MVC-related ED visits per population decreased after the law for all three age groups (16-17: 2326 to 713; 18-20: 2110 to 1304; 25-29: 1694 to 1228; per 100,000, p<0.001), but the decrease was greater amongst teenagers (16-17: -69%; 18-20: -38%) compared to the control group (-27%); p<0.001. MVC-related hospital charges per population also decreased for teenagers but increased for the control group (16-17: $2.70 m to $1.45 m; 18-20: $3.52 m to $2.26 m; 25-29: $1.86 m to $1.92 m; per 100,000, p<0.001). CONCLUSIONS: The 2007 GDL law in Massachusetts was associated with significant decreases in MVC-related health care utilization and hospital charges among teenage drivers.

The financial impact of intraoperative adverse events in abdominal surgery.

BACKGROUND: Little evidence currently exists regarding the clinical or financial impact of intraoperative adverse events (iAEs). We sought to study the additional health care charges attributable to the occurrence of an iAE. METHODS: The administrative and ACS-NSQIP databases at our tertiary academic medical center were linked for all patients undergoing abdominal surgery (January 2007-October 2012). The ICD-9-CM-based Patient Safety Indicator "accidental puncture/laceration" was used to screen the linked database for potential iAEs. All iAEs were confirmed subsequently through standardized review of all flagged medical records. Multivariate analyses controlling for demographics, comorbidities/laboratory values, procedure type, and approach and complexity of surgery were performed to assess the increase in health care charges independently predicted by the occurrence of iAEs. RESULTS: Of 9,111 patients, 183 were confirmed to have iAEs. Patients in the iAE group had higher median total charges ($27,169 [IQR, 17,302-44,952] vs $13,312 [IQR, 8,586-22,012]; P < .001), direct charges ($17,808 [IQR, 11,520-28,930] vs $8,738 [IQR, 5,686-14,227]; P < .001) and indirect charges ($9,396 [IQR, 5,932-16,144] vs $4,568 [IQR, 2,887-7,824]; P < .001) when compared with patients without iAEs. Multivariate analyses demonstrated that iAEs independently predict an increase in total hospitalization charges by 41% (95% CI, 30-52%; P < .001). Specifically, the direct, indirect, operating room, laboratory/radiology, and alimentation/medical therapy charges increased by 42, 39, 27, 54, and 48%, respectively (all P < .001). CONCLUSION: In addition to the morbidity incurred by patients, the occurrence of an iAE is associated with major additional health care charges. In an era of value-based health care, understanding and preventing iAEs can lead to major cost savings alongside improvements in patient safety and surgical quality.

Advanced imaging use in intensive care units has decreased, resulting in lower charges without negative effects on patient outcomes.

PURPOSE: There has been both greater recognition and scrutiny of the increased use of advanced imaging. Our aim was to determine whether there has been a change over time in the use of computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US) modalities in the intensive care units (ICUs). MATERIALS AND METHODS: A retrospective review of 75657 admissions to 20 ICUs was conducted. Results were analyzed with multivariate linear, negative binomial, and Poisson regressions. Primary outcomes were rates of use of CT, MRI, and US per 1000 ICU admissions every 6 months. Secondary outcomes were changes in radiology use associated with impacts on mortality, hospital length of stay (LOS), ICU LOS, and hospital charges. RESULTS: The rate of imaging use decreased by 13.5% between 2007 and 2011 (incidence rate ratio [IRR], 0.982; P < .001). Most of this decrease was by CTs (21.0%; IRR, 0.973; P < .001). Use of MRI decreased by 6.0% (IRR, 0.991; P = .04), whereas US increased by 18.9% (IRR, 1.012; P < .001). The charges associated with imaging decreased by $74 per ICU admission, which would save an estimated $1.2 million in charges during 2011. Decreased imaging was not associated with changes in mortality, hospital, and ICU LOS. CONCLUSION: Advanced imaging use decreased for 5 years in the ICUs, resulting in decreased charges without negative effects on patient outcomes.