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It remains unclear whether the association between balanced blood component transfusion and lower mortality is generalizable to trauma patients receiving varying transfusion volumes. We sought to study the role red blood cell transfusion volume plays in the relationships between red blood cell:platelet and red blood cell:fresh frozen plasma ratios and 4-hour mortality.Adult patients in the 2013 to 2018 American College of Surgeons Trauma Quality Improvement Program database receiving ≥6 red blood cell, ≥1 platelet, and ≥1 fresh frozen plasma within 4 hours were included. The following 4 cohorts were defined based on 4-hour red blood cell transfusion volume: (1) 6 to 10 units, (2) 11 to 15 units, (3) 16 to 20 units, and (4)20 units. The association between red blood cell:fresh frozen plasma, red blood cell:platelet, and 4-hour mortality was evaluated discretely for each red blood cell transfusion volume category, statistically adjusting for confounders.A total of 14,549 patients were included. In patients receiving 6 to 10 units of red blood cells, red blood cell:platelet ratios were not associated with 4-hour mortality, and only red blood cell:fresh frozen plasma ≥4:1 were associated with significantly higher odds of 4-hour mortality compared to 1:1. For patients receiving10 red blood cell units, increasing red blood cell:platelet and red blood cell:fresh frozen plasma ratios were consistently associated with increased odds of 4-hour mortality. For example, in red blood cell volumes of 11 to 15, 16 to 20, and20 units, risk-adjusted 4-hour mortality odds ratios for red blood cell:platelet ≥4:1 were 2.27 (1.47-3.51), 3.32 (2.26-4.90), and 3.01 (2.33-3.88), respectively.The association between balanced blood component transfusion and 4-hour mortality is not homogenous in trauma patients requiring different transfusion volumes and is specifically less evident in patients receiving lower volumes. Such findings should be considered in the current and future blood shortage crises across the nation.

Initially used in trauma management, delayed abdominal closure endeavors to decrease operative time during the index operation while still being lifesaving. Its use in emergency general surgery is increasing, but the data evaluating its outcome are sparse. We aimed to study the association between delayed abdominal closure, mortality, morbidity, and length of stay in an emergency surgery cohort.The 2013 to 2017 American College of Surgeons National Surgical Quality Improvement Program database was examined for patients undergoing emergency laparotomy. The patients were classified by the timing of abdominal wall closure: delayed fascial closure versus immediate fascial closure. Propensity score matching was performed based on preoperative covariates, wound classification, and performance of bowel resection. The outcomes were then compared by univariable analysis.After matching, both the delayed fascial closure and immediate fascial closure groups consisted of 3,354 patients each. Median age was 65 years, and 52.6% were female. The delayed fascial closure group had a higher in-hospital mortality (35.3% vs 25.0%, Plt; .001), a higher 30-day mortality (38.6% vs 29.0%, Plt; .001), a higher proportion of acute kidney injury (9.5% vs 6.6%, Plt; .001), a lower proportion of postoperative sepsis (11.8% vs 15.6%, Plt; .001), and a lower proportion of surgical site infection (3.4% vs 7.0%, Plt; .001).Compared with immediate fascial closure, delayed fascial closure is associated with an increased mortality in the patients matched based on comorbidities and surgical site contamination. In emergency general surgery, delaying abdominal closure may not have the presumed overarching benefits, and its indications must be further defined in this population.

The aim of this study was to identify a mortality benefit with the use of whole blood (WB) as part of the resuscitation of bleeding trauma patients.Blood component therapy (BCT) is the current standard for resuscitating trauma patients, with WB emerging as the blood product of choice. We hypothesized that the use of WB versus BCT alone would result in decreased mortality.We performed a 14-center, prospective observational study of trauma patients who received WB versus BCT during their resuscitation. We applied a generalized linear mixed-effects model with a random effect and controlled for age, sex, mechanism of injury (MOI), and injury severity score. All patients who received blood as part of their initial resuscitation were included. Primary outcome was mortality and secondary outcomes included acute kidney injury, deep vein thrombosis/pulmonary embolism, pulmonary complications, and bleeding complications.A total of 1623 [WB: 1180 (74%), BCT: 443(27%)] patients who sustained penetrating (53%) or blunt (47%) injury were included. Patients who received WB had a higher shock index (0.98 vs 0.83), more comorbidities, and more blunt MOI (all P0.05). After controlling for center, age, sex, MOI, and injury severity score, we found no differences in the rates of acute kidney injury, deep vein thrombosis/pulmonary embolism or pulmonary complications. WB patients were 9% less likely to experience bleeding complications and were 48% less likely to die than BCT patients ( P0.0001).Compared with BCT, the use of WB was associated with a 48% reduction in mortality in trauma patients. Our study supports the use of WB use in the resuscitation of trauma patients.

Delays in admitting high-risk emergency surgery patients to the intensive care unit result in worse outcomes and increased health care costs. We aimed to use interpretable artificial intelligence technology to create a preoperative predictor for postoperative intensive care unit need in emergency surgery patients.A novel, interpretable artificial intelligence technology called optimal classification trees was leveraged in an 80:20 train:test split of adult emergency surgery patients in the 2007-2017 American College of Surgeons National Surgical Quality Improvement Program database. Demographics, comorbidities, and laboratory values were used to develop, train, and then validate optimal classification tree algorithms to predict the need for postoperative intensive care unit admission. The latter was defined as postoperative death or the development of 1 or more postoperative complications warranting critical care (eg, unplanned intubation, ventilator requirement ≥48 hours, cardiac arrest requiring cardiopulmonary resuscitation, and septic shock). An interactive and user-friendly application was created. C statistics were used to measure performance.A total of 464,861 patients were included. The mean age was 55 years, 48% were male, and 11% developed severe postoperative complications warranting critical care. The Predictive OpTimal Trees in Emergency Surgery Risk Intensive Care Unit application was created as the user-friendly interface of the complex optimal classification tree algorithms. The number of questions (ie, tree depths) needed to predict intensive care unit admission ranged from 2 to 11. The Predictive OpTimal Trees in Emergency Surgery Risk Intensive Care Unit application had excellent discrimination for predicting the need for intensive care unit admission (C statistics: 0.89 train, 0.88 test).We recommend the Predictive OpTimal Trees in Emergency Surgery Risk Intensive Care Unit application as an accurate, artificial intelligence-based tool for predicting severe complications warranting intensive care unit admission after emergency surgery. The Predictive OpTimal Trees in Emergency Surgery Risk Intensive Care Unit application can prove useful to triage patients to the intensive care unit and to potentially decrease failure to rescue in emergency surgery patients.

Intraoperative deaths (IODs) are rare but catastrophic. We systematically analyzed IODs to identify clinical and patient safety patterns.IODs in a large academic center between 2015 and 2019 were included. Perioperative details were systematically reviewed, focusing on (1) identifying phenotypes of IOD, (2) describing emerging themes immediately preceding cardiac arrest, and (3) suggesting interventions to mitigate IOD in each phenotype.Forty-one patients were included. Three IOD phenotypes were identified: trauma (T), nontrauma emergency (NT), and elective (EL) surgery patients, each with 2 sub-phenotypes (e.g., ELm and ELv for elective surgery with medical arrests or vascular injury and bleeding, respectively). In phenotype T, cardiopulmonary resuscitation was initiated before incision in 42%, resuscitative thoracotomy was performed in 33%, and transient return of spontaneous circulation was achieved in 30% of patients. In phenotype NT, ruptured aortic aneurysms accounted for half the cases, and median blood product utilization was 2,694 mL. In phenotype ELm, preoperative evaluation did not include electrocardiogram in 12%, cardiac consultation in 62%, stress test in 87%, and chest x-ray in 37% of patients. In phenotype ELv, 83% had a single peripheral intravenous line, and vascular injury was almost always followed by escalation in monitoring (e.g., central/arterial line), alert to the blood bank, and call for surgical backup.We have created a framework for IOD that can help with intraoperative safety and quality analysis. Focusing on interventions that address appropriateness versus futility in care in phenotypes T and NT, and on prevention and mitigation of intraoperative vessel injury (e.g., intraoperative rescue team) or preoperative optimization in phenotype EL may help prevent IODs.

The Trauma Outcomes Predictor tool was recently derived using a machine learning methodology called optimal classification trees and validated for prediction of outcomes in trauma patients. The Trauma Outcomes Predictor is available as an interactive smartphone application. In this study, we sought to assess the performance of the Trauma Outcomes Predictor in the elderly trauma patient.All patients aged 65 years and older in the American College of Surgeons-Trauma Quality Improvement Program 2017 database were included. The performance of the Trauma Outcomes Predictor in predicting in-hospital mortality and combined and specific morbidity based on incidence of 9 specific in-hospital complications was assessed using the c-statistic methodology, with planned subanalyses for patients 65 to 74, 75 to 84, and 85+ years.A total of 260,505 patients were included. Median age was 77 (71-84) years, 57% were women, and 98.8% had a blunt mechanism of injury. The Trauma Outcomes Predictor accurately predicted mortality in all patients, with excellent performance for penetrating trauma (c-statistic: 0.92) and good performance for blunt trauma (c-statistic: 0.83). Its best performance was in patients 65 to 74 years (c-statistic: blunt 0.86, penetrating 0.93). Among blunt trauma patients, the Trauma Outcomes Predictor had the best discrimination for predicting acute respiratory distress syndrome (c-statistic 0.75) and cardiac arrest requiring cardiopulmonary resuscitation (c-statistic 0.75). Among penetrating trauma patients, the Trauma Outcomes Predictor had the best discrimination for deep and organ space surgical site infections (c-statistics 0.95 and 0.84, respectively).The Trauma Outcomes Predictor is a novel, interpretable, and highly accurate predictor of in-hospital mortality in the elderly trauma patient up to age 85 years. The Trauma Outcomes Predictor could prove useful for bedside counseling of elderly patients and their families and for benchmarking the quality of geriatric trauma care.

Objective: To determine whether the outcomes of postoperative patients admitted directly to an intensive care unit (ICU) differ based on the academic status of the institution and the total operative volume of the unit. Methods: This was a retrospective analysis using the eICU Collaborative Research Database v2.0, a national database from participating ICUs in the United States. All patients admitted directly to the ICU from the operating room were included. Transfer patients and patients readmitted to the ICU were excluded. Patients were stratified based on admission to an ICU in an academic medical center (AMC) versus non-AMC, and to ICUs with different operative volume experience, after stratification in quartiles (high, medium-high, medium-low, and low volume). Primary outcomes were ICU and hospital mortality. Secondary outcomes included the need for continuous renal replacement therapy (CRRT) during ICU stay, ICU length of stay (LOS), and 30-day ventilator free days. Results: Our analysis included 22,180 unique patients; the majority of which (15,085[68%]) were admitted to ICUs in non-AMCs. Cardiac and vascular procedures were the most common types of procedures performed. Patients admitted to AMCs were more likely to be younger and less likely to be Hispanic or Asian. Multivariable logistic regression indicated no meaningful association between academic status and ICU mortality, hospital mortality, initiation of CRRT, duration of ICU LOS, or 30-day ventilator-free-days. Contrarily, medium-high operative volume units had higher ICU mortality (OR = 1.45, 95%CI = 1.10-1.91, p-value = 0.040), higher hospital mortality (OR = 1.33, 95%CI = 1.07-1.66, p-value = 0.033), longer ICU LOS (Coefficient = 0.23, 95%CI = 0.07-0.39, p-value = 0.038), and fewer 30-day ventilator-free-days (Coefficient = -0.30, 95%CI = -0.48 – −0.13, p-value = 0.015) compared to their high operative volume counterparts. Conclusions: This study found that a volume-outcome association in the management of postoperative patients requiring ICU level of care immediately after a surgical procedure may exist. The academic status of the institution did not affect the outcomes of these patients.

Ischemic gastrointestinal complications (IGIC) following cardiac surgery are associated with high morbidity and mortality and remain difficult to predict. We evaluated perioperative risk factors for IGIC in patients undergoing open cardiac surgery.All patients that underwent an open cardiac surgical procedure at a tertiary academic center between 2011 and 2017 were included. The primary outcome was IGIC, defined as acute mesenteric ischemia necessitating a surgical intervention or postoperative gastrointestinal bleeding that was proven to be of ischemic etiology and necessitated blood product transfusion. A backward stepwise regression model was constructed to identify perioperative predictors of IGIC.Of 6862 patients who underwent cardiac surgery during the study period, 52(0.8%) developed IGIC. The highest incidence of IGIC (1.9%) was noted in patients undergoing concomitant coronary artery, valvular, and aortic procedures. The multivariable regression identified hypertension (odds ratio [OR] = 5.74), preoperative renal failure requiring dialysis (OR = 3.62), immunocompromised status (OR = 2.64), chronic lung disease (OR = 2.61), and history of heart failure (OR = 2.03) as independent predictors for postoperative IGIC. Pre- or intraoperative utilization of intra-aortic balloon pump or catheter-based assist devices (OR = 4.54), intraoperative transfusion requirement of4 RBC units(OR = 2.47), and cardiopulmonary bypass 180 min (OR = 2.28) were also identified as independent predictors for the development of IGIC.We identified preoperative and intraoperative risk factors that independently increase the risk of developing postoperative IGIC after cardiac surgery. A high index of suspicion must be maintained and any deviation from the expected recovery course in patients with the above-identified risk factors should trigger an immediate evaluation with the involvement of the acute care surgical team.

There are significant practice variations in antibiotic treatment for appendicitis, ranging from short-course narrow spectrum to long-course broad-spectrum. We sought to describe the modern microbial epidemiology of acute and perforated appendicitis in adults to help inform appropriate empiric coverage and support antibiotic stewardship initiatives.This is a post-hoc secondary analysis of the Multicenter Study of the Treatment of Appendicitis in America: Acute, Perforated, and Gangrenous (MUSTANG) which prospectively enrolled adult patients (age ≥ 18 years) diagnosed with appendicitis between January 2017 and June 2018 across 28 centers in the United States. We included all subjects with positive microbiologic cultures during primary or secondary (rescue after medical failure) appendectomy or percutaneous drainage. Culture yield was compared between low- and high-grade appendicitis as per the AAST classification.A total of 3,471 patients were included: 230 (7%) had cultures performed, and 179/230 (78%) had positive results. Cultures were less likely to be positive in grade 1 compared to grades 3, 4, or 5 appendicitis with 2/18 (11%) vs 61/70 (87%) (p.001). Only 1 subject had grade 2 appendicitis and culture results were negative. E. coli was the most common pathogen and cultured in 29 (46%) of primary appendectomy samples, 16 (50%) of secondary, and 44 (52%) of percutaneous drainage samples.Culturing low-grade appendicitis is low yield. E. coli is the most commonly cultured microbe in acute and perforated appendicitis. This data helps inform empiric coverage for both antibiotics alone and as an adjunct to operative or percutaneous intervention.

To evaluate factors associated with ICU delirium in patients who underwent damage control laparotomy (DCL), with the hypothesis that benzodiazepines and paralytic infusions would be associated with increased delirium risk. We also sought to evaluate the differences in sedation practices between trauma (T) and non-trauma (NT) patients. We reviewed retrospective data from 15 centers in the EAST SLEEP-TIME registry admitted from January 1, 2017 to December 31, 2018. We included all adults undergoing DCL, regardless of diagnosis, who had completed daily Richmond Agitation Sedation Score (RASS) and Confusion Assessment Method-ICU (CAM-ICU). We excluded patients younger than 18 years, pregnant women, prisoners and patients who died before the first re-laparotomy. Data collected included age, number of re-laparotomies after DCL, duration of paralytic infusion, duration and type of sedative and opioid infusions as well as daily CAM-ICU and RASS scores to analyze risk factors associated with the proportion of delirium-free/coma-free ICU days during the first 30 days (DF/CF-ICU-30) using multivariate linear regression. A 353 patient subset (73.2% trauma) from the overall 567-patient cohort had complete daily RASS and CAM-ICU data. NT patients were older (58.9 ± 16.0 years vs 40.5 ± 17.0 years [p

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.

Background Body mass index (BMI) does not reliably predict Surgical site infections (SSI). We hypothesize that abdominal wall thickness (AWT) would serve as a better predictor of SSI for patients undergoing emergency colon operations. Methods We retrospectively evaluated our Emergency Surgery Database (2007-2018). Emergency colon operations for any indication were included. AWT was measured by pre-operative CT scans at 5 locations. Only superficial and deep SSIs were considered as SSI in the analysis. Univariate then multivariable analyses were used to determine predictors of SSI. Results 236 patients met inclusion criteria. The incidence of post-operative SSI was 25.8% and the median BMI was 25.8kg/m2 [22.5-30.1]. The median AWT between patients with and without SSI was significantly different (2.1cm [1.4, 2.8] and 1.8cm [1.2, 2.5], respectively). A higher BMI trended toward increased rates of SSI, but this was not statistically significant. In overweight (BMI 25-29.9kg/m2) and obese (BMI ≥30kg/m2) patients, SSI versus no SSI rates were (50.0% versus 41.9% and 47.4% versus 36.4%, P = 0.365 and 0.230) respectively. The incidence of SSI in patients with an average AWT Conclusions AWT is a better predictor of SSI than BMI. Preoperative imaging of AWT may direct intraoperative decisions regarding wound management. Future clinical outcomes research in emergency surgery should include abdominal wall thickness as an important patient variable.

Trauma care for injured older adults is complicated by pre-existing chronic illness. We examined the association between chronic illness and post-injury function, healthcare utilization and quality of life.Trauma patients ≥65 years with an Injury Severity Score (ISS) ≥9 discharged from one of three level-1 trauma centers were interviewed 6-12 months post-discharge. Patients were asked about new functional limitations, injury-related emergency department (ED) visits or readmission, and health-related quality of life (HRQoL). Trauma registry data was used to determine presence of seven chronic illnesses. Adjusted regression models examined associations between increasing number of chronic illness (0, 1, ≥2) and outcomes.Of 1,379 patients, 46.5% had at least one chronic illness. In adjusted analysis, any chronic illness was associated with higher odds of new functional limitation (1 chronic illness, OR1.54, CI: 1.20-1.97; ≥2, OR1.69, CI: 1.16-2.48) and worse physical health-related QoL (1 chronic illness adj. mean diff= -4.0, CI: -5.6 to -2.5; ≥2 adj. mean diff.= -4.4, CI: -7.3 to -1.4, p0.01). Mental health post-injury was consistent with population norms across all groups.Presence of any chronic illness in older adults is associated with new functional limitations and worse physical HRQoL post-injury, but unchanged mental health. Focused interventions are needed to support long-term recovery.

BackgroundRefugees are prone to injury due to often austere living conditions, social and economic disadvantages, and limited access to health care services in host countries. This study systematically quantified the prevalence of physical injuries and burns among the refugee community in Western Lebanon and examined injury characteristics, risk factors and outcomes.MethodWe conducted a cluster-based population survey across 21 camps in the Bekaa region of Lebanon from February to April 2019. A modified version of the ‘Surgeons Overseas Assessment of Surgical Need (SOSAS)’ tool v 3.0 was administered to the head of the refugee household and documented all injuries sustained by family members over the last 12 months. Descriptive and univariate regression analyses were performed to understand the association between variables.Results750 heads of household were surveyed. 112 (14.9%) household sustained injuries in the past 12 months, 39 of which (34.9%) reported disabling injuries that affected their work and daily living. Most injuries occurred inside the tent (29.9%). A burn was sustained by at least one household member in 136 (18.1%) households. The majority (63.7%) of burns affected children under 5 years and were mainly due to boiling liquid (50%). Significantly more burns were reported in households where caregivers have the inability to lockout children while cooking (25.6% vs 14.9%, p-value=0.001). Similarly, households with unemployed head significantly had more reported burns (19.7% vs 13.3%, p-value=0.05). Nearly 16.1% of injured refugees were unable to seek health care due to lack of health insurance coverage and financial liability.ConclusionRefugees suffer injuries and burns with substantial human and economic repercussions on individuals, their families and the host healthcare system. Resources should be allocated to designing safe camps and implementing educational and awareness programs with special focus on heating and cooking methods.

Artificial intelligence (AI) has made increasing inroads in clinical medicine. In surgery, machine learning-based algorithms are being studied for use as decision aids in risk prediction and even for intraoperative applications, including image recognition and video analysis. While AI has great promise in surgery, these algorithms come with a series of potential pitfalls that cannot be ignored as hospital systems and surgeons consider implementing these technologies. The aim of this review is to discuss the progress, promise, and pitfalls of AI in surgery.

Objective Determine the proportion and characteristics of traumatic injury survivors who perceive a negative impact of the COVID-19 pandemic on their recovery and to define post-injury outcomes for this cohort. Background The COVID-19 pandemic has precipitated physical, psychological, and social stressors that may create a uniquely difficult recovery and reintegration environment for injured patients. Methods Adult (≥18 years) survivors of moderate-to-severe injury completed a survey 6-14 months post-injury during the COVID-19 pandemic. This survey queried individuals about the perceived impact of the COVID-19 pandemic on injury recovery and assessed post-injury functional and mental health outcomes. Regression models were built to identify factors associated with a perceived negative impact of the pandemic on injury recovery, and to define the relationship between these perceptions and long-term outcomes. Results Of 597 eligible trauma survivors who were contacted, 403 (67.5%) completed the survey. Twenty-nine percent reported that the COVID-19 pandemic negatively impacted their recovery and 24% reported difficulty accessing needed healthcare. Younger age, lower perceived-socioeconomic status (SES), extremity injury, and prior psychiatric illness were independently associated with negative perceived impact of the COVID-19 pandemic on injury recovery. In adjusted analyses, patients who reported a negative impact of the pandemic on their recovery were more likely to have new functional limitations, daily pain, lower physical and mental component scores of the SF-12 and to screen positive for PTSD and depression. Conclusions The COVID-19 pandemic is negatively impacting the recovery of trauma survivors. It is essential that we recognize the impact of the pandemic on injured patients while focusing on directed efforts to improve the long-term outcomes of this already at-risk population.

Background The Syrian conflict has produced one of the largest refugee crises in modern times. Lebanon has taken in more Syrian refugees per capita than any other nation. We aimed to study the burden of surgical disease and access to surgical care among Syrian refugees in Lebanon. Methods This study was designed as a convenient cross-sectional cluster-based population survey of all refugee camps throughout the Bekaa region of Lebanon. We used a modified version of the Surgeons OverSeas Assessment of Surgical Need to identify surgical conditions and barriers to care access. The head of household of each informal tented settlement provided demographic information after which two household members were randomly chosen and administered the survey. Results A total of 1,500 individuals from 750 households representing 21 camps were surveyed. Respondents had a mean age of 36.6 (15.0) years, 54.6% were female, and 59% were illiterate. Nearly 25% of respondents reported at least one surgical condition within the past year, most commonly involving the face, head, and neck region (32%) and extremities (22%). Less than 20% of patients with a surgical condition reported seeing any healthcare provider, > 75% due to financial hardship. Conclusions The prevalence of surgical disease among Syrian refugees is very high with a fourth of refugees suffering from one or more surgical conditions over the past year. The surgical needs of this vulnerable population are largely unmet as financial reasons prevent patients from seeking care. Local and humanitarian efforts need to include increased access to surgical care.

Background Facial trauma can have long-lasting consequences on an individual's physical, mental, and social well-being. The authors sought to assess the long-term outcomes of patients with facial injuries. Methods This is a prospective multicenter cohort study of patients with face abbreviated injury scores ≥1 within the Functional Outcomes and Recovery after Trauma Emergencies registry. The Functional Outcomes and Recovery after Trauma Emergencies registry collects patient-reported outcomes data for patients with moderate-severe trauma 6 to 12 months after injury. Outcomes variables included general and trauma-specific quality of life, functional limitations, screening for post-traumatic stress disorder, and postdischarge healthcare utilization. Results A total of 188 patients with facial trauma were included: 69.1% had an isolated face and/or head injury and 30.9% had a face and/or head injuries as a part of polytrauma injury. After discharge, 11.7% of patients visited the emergency room, and 13.3% were re-admitted to the hospital. Additionally, 36% of patients suffered from functional limitations and 17% of patients developed post-traumatic stress disorder. A total of 34.3% patients reported that their injury scars bothered them, and 49.4% reported that their injuries were hard to deal with emotionally. Conclusions Patients who sustain facial trauma suffer significant long-term health-related quality of life consequences stemming from their injuries.

Background: There is little research evaluating outcomes from sepsis in intensive care units (ICUs) with lower sepsis patient volumes as compared to ICUs with higher sepsis patient volumes. Our objective was to compare the outcomes of septic patients admitted to ICUs with different sepsis patient volumes. Materials and Methods: We included all patients from the eICU-CRD database admitted for the management of sepsis with blood lactate ≥ 2mmol/L within 24 hours of admission. Our primary outcome was ICU mortality. Secondary outcomes included hospital mortality, 30-day ventilator free days, and initiation of renal replacement therapy (RRT). ICUs were grouped in quartiles based on the number of septic patients treated at each unit. Results: 10,716 patients were included in our analysis; 272 (2.5%) in low sepsis volume ICUs, 1,078 (10.1%) in medium-low sepsis volume ICUs, 2,608 (24.3%) in medium-high sepsis volume ICUs, and 6,758 (63.1%) in high sepsis volume ICUs. On multivariable analyses, no significant differences were documented regarding ICU and hospital mortality, and ventilator days in patients treated in lower versus higher sepsis volume ICUs. Patients treated at lower sepsis volume ICUs had lower rates of RRT initiation as compared to high volume units (medium-high vs. high: OR = 0.78, 95%CI = 0.66-0.91, P-value = 0.002 and medium-low vs. high: OR = 0.57, 95%CI = 0.44-0.73, P-value < 0.001). Conclusion: The previously described volume-outcome association in septic patients was not identified in an intensive care setting.

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 loss10% 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.

PURPOSE Violence continues to be a significant public health burden, but little is known about the long-term outcomes of these patients. Our goal was to determine the impact of violence-related trauma on long-term functional and psychosocial outcomes. METHODS We identified trauma patients with moderate to severe injuries (Injury Severity Score, ≥9) treated at one of three level 1 trauma centers. These patients were asked to complete a survey over the phone between 6 and 12 months after injury evaluating both functional and psychosocial outcomes (12-item Short Form Survey, Trauma Quality of Life, posttraumatic stress disorder [PTSD] screen, chronic pain, return to work). Patients were classified as having suffered a violent injury if the mechanism of injury was a stab, gunshot, or assault. Self-inflicted wounds were excluded. Adjusted logistic regression models were built to determine the association between a violent mechanism of injury and long-term outcomes. RESULTS A total of 1,050 moderate to severely injured patients were successfully followed, of whom 176 (16.8%) were victims of violence. For the victims of violence, mean age was 34.4 years (SD, 12.5 years), 85% were male, and 57.5% were Black; 30.7% reported newly needing help with at least one activity of daily living after the violence-related event. Fifty-nine (49.2%) of 120 patients who were working before their injury had not yet returned to work; 47.1% screened positive for PTSD, and 52.3% reported chronic pain. On multivariate analysis, a violent mechanism was significantly associated with PTSD (odds ratio, 2.57; 95% confidence interval, 1.59-4.17; p < 0.001) but not associated with chronic pain, return to work, or functional outcomes. CONCLUSION The physical and mental health burden after violence-related trauma is not insignificant. Further work is needed to identify intervention strategies and social support systems that may be beneficial to reduce this burden. LEVEL OF EVIDENCE Prognostic and epidemiological, level III.

Background The Emergency Surgery Score (ESS) has been previously validated as a reliable tool to predict postoperative outcomes in emergency general surgery (EGS). The purpose of this study is to assess the differential performance of the ESS in specific EGS procedures. Methods The American College of Surgeons’ National Surgical Quality Improvement Program database was retrospectively analyzed for patients undergoing EGS between 2007 and 2017. Patients who underwent the following EGS procedures were identified: laparoscopic appendectomy, laparoscopic cholecystectomy, surgery for small bowel obstruction (SBO), colectomy, and incarcerated ventral or inguinal hernia repair. The performance of the ESS in predicting mortality in each procedure was assessed using receiver operating characteristic analyses. Results A total of 467,803 patients underwent EGS (mean age 50 ± 19.9 y, females 241,330 [51.6%]), of which 191,930 (41%) underwent laparoscopic appendectomy, 40,353 (8.6%) underwent laparoscopic cholecystectomy, and 35,152 (7.5%) patients underwent surgery for SBO. The ESS correlated extremely well with mortality for patients who underwent laparoscopic appendectomy (area under the curve (AUC) 0.91), laparoscopic cholecystectomy (AUC 0.91), lysis of adhesions for SBO (AUC 0.83), colectomy (AUC 0.83), and incarcerated hernia repair (AUC 0.85). Conclusions ESS performance accurately predicts mortality across a wide range of EGS procedures, and its use should be encouraged for preoperative patient counseling and for nationally benchmarking the quality of care of EGS.

Introduction Intestinal-cutaneous fistulas (ICFs) constitute a major surgical challenge. Definitive surgical treatment of ICFs continues to be associated with significant morbidity. The purpose of this study was to utilize a nationwide database to define the morbidity associated with current treatment strategies in the surgical management of ICFs. Methods The 2006–2017 American College of Surgeon National Surgical Quality Improvement datasets (ACS-NSQIP) were used to assess 30-day morbidity and mortality after surgical repair of ICFs. Outcomes for emergent repair were compared to elective repair of ICFs. Results Overall, 4197 patients undergoing ICF-repair were identified. Mean age was 55.9 (SD 15.3). Patients were generally comorbid (62.9% were in ASA class III). The observed in-hospital mortality was 2.3%. However, the observed morbidity rate was 47.3%. Of the observed morbidity, 35.6% was due to post-operative infectious complications (superficial surgical site infections (SSI), deep SSI, organ/space SSI, wound disruption, pneumonia, urinary tract infection (UTI) sepsis or septic shock). The most common infectious complication was sepsis (13.1%). 30-day readmission rate was 15.3% and the 30-day reoperation rate was 11.0%. Emergent repair was associated with a sevenfold increase in mortality (11.9% vs 1.8%, P Conclusion The management of patients with ICFs is complex and is associated with significant morbidity. Half of patients undergoing surgical management of ICFs developed in-hospital complications.

Background The quality of emergency general surgery (EGS) studies that use the American College of Surgeons-National Quality Improvement Program (ACS-NSQIP) database is variable. We aimed to critically appraise the methodologic reporting of EGS ACS-NSQIP studies. Study design We searched the PubMed ACS-NSQIP bibliography for EGS studies published from 2004 to 2019. The quality of reporting of each study was assessed according to the number of criteria fulfilled with respect to the 13-item RECORD statement and the 10-item JAMA Surgery checklist. Three criteria in each checklist were not applicable and were therefore excluded. An analysis was conducted comparing studies published in high and low impact factor (IF) journals. Results We identified a total of 99 eligible studies. Twenty-six percent of studies were published in high IF journals, and 73% of the journals had a policy requiring adherence to reporting statements. The median number of criteria fulfilled for the RECORD statement (out of 10 items) and the JAMA Surgery checklist (out of 7 items) were both equal to 4 (interquartile range [IQR] 3, 5). Sixty-three percent of studies did not explain the methodology for data cleaning, 81% of studies did not describe the population selection process, and 55% did not discuss the implications of missing variables. There were no differences in overall scores between studies published in high and low IF journals. Conclusions The methodologic reporting of EGS studies using ACS-NSQIP remains suboptimal. Future efforts should focus on improving adherence to the policies to mitigate potential sources of bias and improve the credibility of large database studies.

Background In-field triage tools for trauma patients are limited by availability of information, linear risk classification, and a lack of confidence reporting. We therefore set out to develop and test a machine learning algorithm that can overcome these limitations by accurately and confidently making predictions to support in-field triage in the first hours after traumatic injury. Methods Using an American College of Surgeons Trauma Quality Improvement Program-derived database of truncal and junctional gunshot wound (GSW) patients (aged 16-60 years), we trained an information-aware Dirichlet deep neural network (field artificial intelligence triage). Using supervised training, field artificial intelligence triage was trained to predict shock and the need for major hemorrhage control procedures or early massive transfusion (MT) using GSW anatomical locations, vital signs, and patient information available in the field. In parallel, a confidence model was developed to predict the true-class probability (scale of 0-1), indicating the likelihood that the prediction made was correct, based on the values and interconnectivity of input variables. Results A total of 29,816 patients met all the inclusion criteria. Shock, major surgery, and early MT were identified in 13.0%, 22.4%, and 6.3% of the included patients, respectively. Field artificial intelligence triage achieved mean areas under the receiver operating characteristic curve of 0.89, 0.86, and 0.82 for prediction of shock, early MT, and major surgery, respectively, for 80/20 train-test splits over 1,000 epochs. Mean predicted true-class probability for errors/correct predictions was 0.25/0.87 for shock, 0.30/0.81 for MT, and 0.24/0.69 for major surgery. Conclusion Field artificial intelligence triage accurately identifies potential shock in truncal GSW patients and predicts their need for MT and major surgery, with a high degree of certainty. The presented model is an important proof of concept. Future iterations will use an expansion of databases to refine and validate the model, further adding to its potential to improve triage in the field, both in civilian and military settings. Level of evidence Prognostic, Level III.

Hypotension is a known risk factor for poor neurologic outcomes after traumatic brain injury (TBI). Current guidelines suggest that higher systolic blood pressure (SBP) thresholds likely confer a mortality benefit. However, there is no consensus on the ideal perfusion pressure among different age groups (i.e., recommended SBP ≥100 mm Hg for patients age 50-69 years; ≥ 110 mm Hg for all other adults). We hypothesize that admission SBP ≥110 mm Hg will be associated with improved outcomes regardless of age group. A retrospective database review of the 2010-2016 Trauma Quality Improvement Program database was performed for adults (≥ 18 years) with isolated moderate-to-severe TBIs (head Abbreviated Injury Scale [AIS] ≥3; all other AIS3). Sub-analyses were performed after dividing patients by SBP and age; comparison groups were matched with propensity score matching. Primary outcomes were early (6 h, 12 h, and 1 day) and overall in-hospital mortality. Overall, 154,725 patients met the inclusion criteria (mean age 62.8 ± 19.8 years, 89,431 [57.8%] males, Injury Severity Score13.9 ± 6.8). Multi-variate logistic regression showed that the risk of in-hospital mortality decreased with increasing SBP, plateauing at 110 mm Hg. Among patients of all ages, SBP ≥110 mm Hg was associated with improved mortality (SBP 110-129 vs. 90-109 mm Hg: 12 h 0.4% vs. 0.8%

Background Classic risk assessment tools often treat patients' risk factors as linear and additive. Clinical reality suggests that the presence of certain risk factors can alter the impact of other factors; in other words, risk modeling is not linear. We aimed to use artificial intelligence (AI) technology to design and validate a nonlinear risk calculator for trauma patients. Methods A novel, interpretable AI technology called Optimal Classification Trees (OCTs) was used in an 80:20 derivation/validation split of the 2010 to 2016 American College of Surgeons Trauma Quality Improvement Program database. Demographics, emergency department vital signs, comorbidities, and injury characteristics (e.g., severity, mechanism) of all blunt and penetrating trauma patients 18 years or older were used to develop, train then validate OCT algorithms to predict in-hospital mortality and complications (e.g., acute kidney injury, acute respiratory distress syndrome, deep vein thrombosis, pulmonary embolism, sepsis). A smartphone application was created as the algorithm's interactive and user-friendly interface. Performance was measured using the c-statistic methodology. Results A total of 934,053 patients were included (747,249 derivation; 186,804 validation). The median age was 51 years, 37% were women, 90.5% had blunt trauma, and the median Injury Severity Score was 11. Comprehensive OCT algorithms were developed for blunt and penetrating trauma, and the interactive smartphone application, Trauma Outcome Predictor (TOP) was created, where the answer to one question unfolds the subsequent one. Trauma Outcome Predictor accurately predicted mortality in penetrating injury (c-statistics: 0.95 derivation, 0.94 validation) and blunt injury (c-statistics: 0.89 derivation, 0.88 validation). The validation c-statistics for predicting complications ranged between 0.69 and 0.84. Conclusion We suggest TOP as an AI-based, interpretable, accurate, and nonlinear risk calculator for predicting outcome in trauma patients. Trauma Outcome Predictor can prove useful for bedside counseling of critically injured trauma patients and their families, and for benchmarking the quality of trauma care.

Background Coronavirus Disease 2019 (COVID-19) has caused over 1 200 000 deaths worldwide as of November 2020. However, little is known about the clinical outcomes among hospitalized patients with active COVID-19 after in-hospital cardiac arrest (IHCA). Aim We aimed to characterize outcomes from IHCA in patients with COVID-19 and to identify patient- and hospital-level variables associated with 30-day survival. Methods We conducted a multicentre retrospective cohort study across 11 academic medical centres in the U.S. Adult patients who received cardiopulmonary resuscitation and/or defibrillation for IHCA between March 1, 2020 and May 31, 2020 who had a documented positive test for Severe Acute Respiratory Syndrome Coronavirus 2 were included. The primary outcome was 30-day survival after IHCA. Results There were 260 IHCAs among COVID-19 patients during the study period. The median age was 69 years (interquartile range 60–77), 71.5% were male, 49.6% were White, 16.9% were Black, and 16.2% were Hispanic. The most common presenting rhythms were pulseless electrical activity (45.0%) and asystole (44.6%). ROSC occurred in 58 patients (22.3%), 31 (11.9%) survived to hospital discharge, and 32 (12.3%) survived to 30 days. Rates of ROSC and 30-day survival in the two hospitals with the highest volume of IHCA over the study period compared to the remaining hospitals were considerably lower (10.8% vs. 64.3% and 5.9% vs. 35.7% respectively, p Conclusions We found rates of ROSC and 30-day survival of 22.3% and 12.3% respectively. There were large variations in centre-level outcomes, which may explain the poor survival in prior studies.

In resource-limited countries, open appendectomy is still performed under general anesthesia (GA) or neuraxial anesthesia (NA). We sought to compare the postoperative outcomes of appendectomy under NA versus GA. We conducted a post hoc analysis of the International Patterns of Opioid Prescribing (iPOP) multicenter study. All patients ≥ 16 years-old who underwent an open appendectomy between October 2016 and March 2017 in one of the 14 participating hospitals were included. Patients were stratified into two groups: NA—defined as spinal or epidural—and GA. All-cause morbidity, hospital length of stay (LOS), and pain severity were assessed using univariate analysis followed by multivariable logistic regression adjusting for the following preoperative characteristics: age, gender, body mass index (BMI), smoking, history of opioid use, emergency status, and country. A total of 655 patients were included, 353 of which were in the NA group and 302 in the GA group. The countries operating under NA were Colombia (39%), Thailand (31%), China (23%), and Brazil (7%). Overall, NA patients were younger (mean age (SD): 34.5 (14.4) vs. 40.7 (17.9), p-value 3 days, OR, 95% CI: 0.47 [0.32–0.68]) compared to GA. There was no difference in postoperative pain severity between the two techniques. Open appendectomy performed under NA is associated with improved outcomes compared to that performed under GA. Further randomized controlled studies should examine the safety and value of NA in lower abdominal surgery.

Background: Trauma patients are at a significant risk of venous thromboembolism (VTE), with lower extremity fractures (LEF) being independent risk factors. Use of direct oral anticoagusants (DOACs) for VTE prophylaxis is effective in elective orthopedic surgery, but currently not approved for trauma patients. The primary objective of this study was to compare the effectiveness and safety of thromboprophylaxis of DOACs with lowmolecular-weight heparin (LMWH) in trauma patients sustaining LEF.Materials and methods: We included adult trauma patients admitted to trauma quality improvement program participating trauma centers (between 2013 and 2016), who sustained LEF and were started on DOACs or LMWH for thromboprophylaxis after admission. Propensity score matching was performed to compare symptomatic VTE and bleeding control interventions between the groups.Results: Of 1,009,922 patients in trauma quality improvement program, 167,640 met inclusion criteria (165,009 received LMWH and 2631 received DOACs). After propensity score matching, 2280 predominantly elderly (median age: 67 y) isolated femur fracture patients (median ISS: 10) were included in each group (4560 patients in total). Symptomatic VTE occurred in 1.4% of patients in both matched groups (P = 0.992). Bleeding control interventions occurred less often in the DOAC group, albeit statistically insignificant (5.8% versus 6.0%, P = 0.772).Conclusions: This study found similar rates of VTE and bleeding control measures for thromboprophylaxis with DOACs or LMWH in matched trauma patients with LEF. Further prospective research is warranted to consolidate the safety of DOAC thromboprophylaxis in trauma patients with LEF. Favorable oral administration and likely increased adherence could benefit this high-risk population. (C) 2020 The Authors. Published by Elsevier Inc.

BACKGROUND: We sought to describe characteristics, multisystem outcomes, and predictors of mortality of the critically ill COVID-19 patients in the largest hospital in Massachusetts. METHODS: This is a prospective cohort study. All patients admitted to the intensive care unit (ICU) with reverse-transcriptase-polymerase chain reaction-confirmed severe acute respiratory syndrome coronavirus 2 infection between March 14, 2020, and April 28, 2020, were included; hospital and multisystem outcomes were evaluated. Data were collected from electronic records. Acute respiratory distress syndrome (ARDS) was defined as PaO2/FiO2 ratio of ≤300 during admission and bilateral radiographic pulmonary opacities. Multivariable logistic regression analyses adjusting for available confounders were performed to identify predictors of mortality. RESULTS: A total of 235 patients were included. The median (interquartile range [IQR]) Sequential Organ Failure Assessment score was 5 (3-8), and the median (IQR) PaO2/FiO2 was 208 (146-300) with 86.4% of patients meeting criteria for ARDS. The median (IQR) follow-up was 92 (86-99) days, and the median ICU length of stay was 16 (8-25) days; 62.1% of patients were proned, 49.8% required neuromuscular blockade, and 3.4% required extracorporeal membrane oxygenation. The most common complications were shock (88.9%), acute kidney injury (AKI) (69.8%), secondary bacterial pneumonia (70.6%), and pressure ulcers (51.1%). As of July 8, 2020, 175 patients (74.5%) were discharged alive (61.7% to skilled nursing or rehabilitation facility), 58 (24.7%) died in the hospital, and only 2 patients were still hospitalized, but out of the ICU. Age (odds ratio [OR], 1.08; 95% confidence interval [CI], 1.04-1.12), higher median Sequential Organ Failure Assessment score at ICU admission (OR, 1.24; 95% CI, 1.06-1.43), elevated creatine kinase of ≥1,000 U/L at hospital admission (OR, 6.64; 95% CI, 1.51-29.17), and severe ARDS (OR, 5.24; 95% CI, 1.18-23.29) independently predicted hospital mortality.Comorbidities, steroids, and hydroxychloroquine treatment did not predict mortality. CONCLUSION: We present here the outcomes of critically ill patients with COVID-19. Age, acuity of disease, and severe ARDS predicted mortality rather than comorbidities. LEVEL OF EVIDENCE: Prognostic, level III.

To provide an overview of the most recent research in geriatric trauma outcomes, specifically highlighting advances in risk prediction for the elderly injured patient. Geriatric-specific evidence and best practices continue to evolve for older adult trauma patients. There are a number of risk stratification systems that offer insights into prognosis for elderly patients, and newer models using machine learning methods show promise in this population as well. These non-linear models can provide useful prognostic information to guide communication with patients and families, including the incorporation of palliative care interventions and geriatric-specific pathways that have been shown to be of benefit to this patient population. Key aspects of care for geriatric trauma patients include knowing the best clinical practices for this population, along with up-to-date research on risk prediction in this group. While there has been some success with the use of risk stratification systems to guide implementation of palliative care interventions, further implementation-based research is needed on specific programs in order to make this more widespread.

Objective We sought to assess the performance of the Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) tool in elderly emergency surgery (ES) patients. Summary background data The POTTER tool was derived using a novel Artificial Intelligence (AI)-methodology called optimal classification trees and validated for prediction of ES outcomes. POTTER outperforms all existent risk-prediction models and is available as an interactive smartphone application. Predicting outcomes in elderly patients has been historically challenging and POTTER has not yet been tested in this population. Methods All patients ≥65 years who underwent ES in the ACS-NSQIP 2017 database were included. POTTER's performance for 30-day mortality and 18 postoperative complications (eg, respiratory or renal failure) was assessed using c-statistic methodology, with planned sub-analyses for patients 65 to 74, 75 to 84, and 85+ years. Results A total of 29,366 patients were included, with mean age 77, 55.8% females, and 62% who underwent emergency general surgery. POTTER predicted mortality accurately in all patients over 65 (c-statistic 0.80). Its best performance was in patients 65 to 74 years (c-statistic 0.84), and its worst in patients ≥85 years (c-statistic 0.71). POTTER had the best discrimination for predicting septic shock (c-statistic 0.90), respiratory failure requiring mechanical ventilation for ≥48 hours (c-statistic 0.86), and acute renal failure (c-statistic 0.85). Conclusions POTTER is a novel, interpretable, and highly accurate predictor of in-hospital mortality in elderly ES patients up to age 85 years. POTTER could prove useful for bedside counseling and for benchmarking of ES care.

Background The Emergency Surgery Score (ESS) is an accurate mortality risk calculator for emergency general surgery (EGS). We sought to assess whether ESS can accurately predict 30-day morbidity, mortality, and requirement for postoperative Intensive Care Unit (ICU) care in patients with missing data variables. Methods All EGS patients with one or more missing ESS variables in the 2007–2015 ACS-NSQIP database were included. ESS was calculated assuming that a missing variable is normal (i.e. no additional ESS points). The correlation between ESS and morbidity, mortality, and postoperative ICU level of care was assessed using the c-statistics methodology. Results Out of a total of 4,456,809 patients, 359,849 were EGS, and of those 256,278 (71.2%) patients had at least one ESS variable missing. ESS correlated extremely well with mortality (c-statistic = 0.94) and postoperative requirement of ICU care (c-statistic = 0.91) and well with morbidity (c-statistic = 0.77). Conclusion ESS performs well in predicting outcomes in EGS patients even when one or more data elements are missing and remains a useful bedside tool for counseling EGS patients and for benchmarking the quality of EGS care.

Patients in the US receive disproportionally higher amounts of opioids after operations compared with their non-US counterparts. We aimed to assess the relationship between perceived pain severity after operation and the amount of opioid medications prescribed at discharge in US vs non-US patients.We conducted a post-hoc analysis of the International Patterns of Opioid Prescribing multicenter study. Patients 16 years and older who underwent appendectomy, cholecystectomy, or inguinal herniorrhaphy in 1 of 14 participating hospitals across 8 countries between October 2016 and March 2017 were included. In hospitals where pain severity was assessed using a 0 to 10 visual analog scale before hospital discharge, patients were stratified into the following groups, depending on the pain severity: none, mild (1 to 3), moderate (4 to 6), and severe (7 to 10). The number of opioid prescriptions, total number of pills, and oral morphine equivalents prescribed were calculated for each group and US and non-US patients were compared.A total of 2,024 patients were included. Eighty-three percent of US patients without pain were prescribed opioids compared with 8.7% of non-US patients without pain (p0.001). The number of opioid prescriptions, number of pills, and oral morphine equivalents prescribed were similar across the 4 pain severity groups in US patients (p0.05). In contrast, the number of opioid prescriptions, number of opioid pills, and oral morphine equivalents prescribed among non-US patients were incrementally higher as the pain severity progressed from no pain to severe pain (all, p0.05).US patients are prescribed opioids at high rates and doses regardless of pain severity. Additional efforts should be directed toward tailoring opioid prescriptions to patients' needs.

Background: Early diagnosis and prompt debridement of necrotizing soft tissue infection (NSTI) improves the outcome. We sought to determine whether failure to admit NSTI patients to acute care surg...

We aimed to examine the prevalence of, and describe factors associated with, firearm-related injuries in American households.Using the 2010-2016 ACS-TQIP database, all ICD-9/10 external causes of injury for firearm-related injuries were queried with the place of occurrence designated as "home". Causes of injury were identified as assault, intentional self-injury, and unintentional injury. Univariate then multivariable regression analyses were performed to identify factors associated with each injury type.12,657 firearm-related injuries in households were identified. Of those, 49.9% were victims of assault, 35.7% were intentional self-injury, and 14.4% were unintentional. Mortality was highest among self-inflicted injuries (52.4%), followed by assault (12.9%), and unintentional injuries (5.9%). On multivariable analysis, age45 years, African-American race, and drug use were independently associated with an injury secondary to assault. Age65 years, White race, psychiatric illness, and alcohol use disorder were independently associated with intentional self-injury. White and American-Indian race were independently associated with unintentional injuries.Assault is the most common cause of home-related firearm injury requiring hospitalization, while intentional self-injury is the most lethal.

Management of hemorrhage from pelvic fractures is complex and requires multidisciplinary attention. Pelvic angioembolization (AE) has become a key intervention to aid in obtaining definitive hemorrhage control. We hypothesized that pelvic AE would be associated with an increased risk of venous thromboembolism (VTE).All adults (age16) with a severe pelvic fracture (Abbreviated Injury Scale ≥ 4) secondary to a blunt traumatic mechanism in the 2017-2019 American College of Surgeons Trauma Quality Improvement Program database were included. Patients who did not receive VTE prophylaxis during their admission were excluded. Patients who underwent pelvic AE during the first 24 h of admission were compared to those who did not using propensity score matching. Matching was performed based on patient demographics, admission physiology, comorbidities, injury severity, associated injuries, other hemorrhage control procedures, and VTE prophylaxis type, and time to initiation of VTE prophylaxis. The rates of VTE (deep vein thrombosis and pulmonary embolism) were compared between the matched groups.Of 72,985 patients with a severe blunt pelvic fracture, 1887 (2.6%) underwent pelvic AE during the first 24 h of admission versus 71,098 (97.4%) who did not. Pelvic AE patients had a higher median Injury Severity Score and more often required other hemorrhage control procedures, with laparotomy being most common (24.7%). The median time to initiation of VTE prophylaxis in pelvic AE versus no pelvic AE patients was 60.1 h (interquartile range = 36.6-98.6) versus 27.7 h (interquartile range = 13.9-52.4), respectively. After propensity score matching, pelvic AE patients were more likely to develop VTE compared to no pelvic AE patients (11.8% versus 9.5%, P = 0.03).Pelvic AE for control of hemorrhage from severe pelvic fractures is associated with an increased risk of in-hospital VTE. Patients who undergo pelvic AE are especially high risk for VTE and should be started as early as safely possible on VTE prophylaxis.

Preventable morbidity and mortality among emergency surgery patients is not adequately analyzed. We aim to describe and classify preventable complications and deaths in this population. The medical records and quality control documents of patients with emergency, non-trauma, surgical disease admitted between September 1, 2006, and August 31, 2018, and recorded to have a preventable or potentially preventable morbidity and mortality were reviewed. The primary outcome was a classification of the complications and deaths by a panel of experts, as attributable to issues of personal performance or system deficiencies. One hundred and fifty patients were identified (127 complications and 23 deaths). The most commonly encountered preventable complications were surgical-site infection (17%), bleeding (13%), injury to adjacent structures (12%), and anastomotic leak (8%). The majority of complications seemed to stem from personal performance (97%), due to either technical or judgment issues, and only 3% were linked with system flaws, either in the form of communication or inadequate protocols. Alcohol use disorder and duration of operation were different between patients with preventable adverse events related to technical issues and patients related to judgment issues; furthermore, more patients who experienced judgment issues died during hospital stay (p

Background The Emergency Surgery Score (ESS) was recently validated as an accurate mortality risk calculator for emergency general surgery. We sought to prospectively evaluate whether ESS can predict the need for respiratory and/or renal support (RRS) at discharge after emergent laparotomies (EL). Methods This is a post hoc analysis of a 19-center prospective observational study. Between April 2018 and June 2019, all adult patients undergoing EL were enrolled. Preoperative, intraoperative, and postoperative variables were systematically collected. In this analysis, patients were excluded if they died during the index hospitalization, were discharged to hospice, or transferred to other hospitals. A composite variable, the need for RRS, was defined as the need for one or more of the following at hospital discharge: tracheostomy, ventilator dependence, or dialysis. Emergency Surgery Score was calculated for all patients, and the correlation between ESS and RRS was examined using the c-statistics method. Results From a total of 1,649 patients, 1,347 were included. Median age was 60 years, 49.4% were men, and 70.9% were White. The most common diagnoses were hollow viscus organ perforation (28.1%) and small bowel obstruction (24.5%); 87 patients (6.5%) had a need for RRS (4.7% tracheostomy, 2.7% dialysis, and 1.3% ventilator dependence). Emergency Surgery Score predicted the need for RRS in a stepwise fashion; for example, 0.7%, 26.2%, and 85.7% of patients required RRS at an ESS of 2, 12, and 16, respectively. The c-statistics for the need for RRS, the need for tracheostomy, ventilator dependence, or dialysis at discharge were 0.84, 0.82, 0.79, and 0.88, respectively. Conclusion Emergency Surgery Score accurately predicts the need for RRS at discharge in EL patients and could be used for preoperative patient counseling and for quality of care benchmarking. Level of evidence Prognostic and epidemiological, level III.

Most studies on emergency resuscitative thoracotomy (ERT) suffer from either small sample size or unclear inclusion criteria. We sought to assess ERT outcomes and predictors of futility using a nationwide database.Using a novel and comprehensive algorithm of combinations of specific International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision procedure codes denoting the multiple steps of an ERT (e.g., thoracotomy, pericardiotomy, cardiac massage) performed within the first 60 min of patient arrival, we identified ERT patients in the 2010-2016 Trauma Quality Improvement Program database. We defined the primary outcome as survival to discharge and the secondary outcomes as hospital length of stay (LOS), intensive care unit LOS, number of complications, and discharge destination. Univariate then backward stepwise multivariable logistic regression analyses were performed to assess independent predictors of mortality. Multiple imputations by chained equations were performed when appropriate, as additional sensitivity analyses.Of 1,403,470 patients, 2012 patients were included. The median age was 32, 84.0% were males, 66.7% had penetrating trauma, the median Injury Severity Score was 26, and 87.5% presented with signs of life (SOL). Of the 1343 patients with penetrating injury, 72.9% had gunshot wounds and 27.1% had stab wounds. The overall survival rate was 19.9%: 26.0% in penetrating trauma (stab wound 45.6% versus gunshot wound 18.7%; P 0.001) and 7.6% in blunt trauma. Independent predictors of mortality were aged 60 y and older (odds ratio, 2.71; 95% confidence interval [95% CI], 1.26-5.82; P = 0.011), blunt trauma (odds ratio, 4.03; 95% CI, 2.72-5.98; P 0.001), prehospital pulse60 bpm (odds ratio, 3.43; 95% CI, 1.73-6.79; P 0.001), emergency department pulse60 bpm (odds ratio, 4.70; 95% CI, 2.47-8.94; P 0.001), and no SOL on emergency department arrival (odds ratio, 3.64; 95% CI, 1.08-12.24; P = 0.037). Blunt trauma was associated with a higher median hospital LOS compared with penetrating trauma (28 d versus 13 d; P 0.001), higher median intensive care unit LOS (19 d versus 6 d; P 0.001), higher median number of complications (2 versus 1; P = 0.006), and more likelihood to be discharged to a rehabilitation facility instead of home (72.6% versus 28.7%; P 0.001). ERT had the highest survival rates in patients younger than 60 y who present with SOL after penetrating trauma. None of the patients with blunt trauma who presented with no SOL survived.The survival rates of patients after ERT in recent years are higher than classically reported, even in the patient with blunt trauma. However, ERT remains futile in patients with a blunt trauma presenting with no SOL.

BACKGROUND The Emergency Surgery Score (ESS) is a point-based scoring system validated to predict mortality and morbidity in emergency general surgery (EGS). In addition to demographics and comorbidities, ESS accounts for the acuity of disease at presentation. We sought to examine whether ESS can predict the destination of discharge of EGS patients, as a proxy for quality of life at discharge. METHODS Using the 2007 to 2017 American College of Surgeons National Surgical Quality Improvement Program database, we identified all EGS patients. EGS cases were defined as per American College of Surgeons National Surgical Quality Improvement Program as those performed by a general surgeon within a short interval from diagnosis or the onset of related symptomatology, when the patient's well-being and outcome may be threatened by unnecessary delay and patient's status could deteriorate unpredictably or rapidly. Emergency Surgery Score patients were then categorized by their discharge disposition to home versus rehabilitation or nursing facilities. All patients with missing ESS or discharge disposition and those discharged to hospice, senior communities, or separate acute care facilities were excluded. Emergency Surgery Score was calculated for each patient. C statistics were used to study the correlation between ESS and the destination of discharge. RESULTS Of 6,485,915 patients, 84,694 were included. The mean age was 57 years, 51% were female, and 79.6% were discharged home. The mean ESS was 5. Emergency Surgery Score accurately and reliably predicted the discharge destination with a C statistic of 0.83. For example, ESS of 1, 10, and 20 were associated with 0.9%, 56.5%, and 100% rates of discharge to a rehabilitation or nursing facility instead of home. CONCLUSION Emergency Surgery Score accurately predicts which EGS patients require discharge to rehabilitation or nursing facilities and can thus be used for preoperatively counseling patients and families and for improving early discharge preparations, when appropriate. LEVEL OF EVIDENCE Prognostic and epidemiological, level III.