Emergency general surgery in older adult patients: Factors associated with fragmented care.

BACKGROUND: Care fragmentation has been shown to lead to increased morbidity and mortality. We aimed to explore the factors related to care fragmentation after hospital discharge in geriatric emergency general surgery patients, as well as examine the association between care fragmentation and mortality. METHODS: We designed a retrospective study of the Nationwide Readmissions Database 2019. We included patients ≥65 years old admitted with an emergency general surgery diagnosis who were discharged alive from the index admission. The primary outcome was 90-day care fragmentation, defined as an unplanned readmission to a non-index hospital. Multivariable logistic regression was performed, adjusting for patient and hospital characteristics. RESULTS: A total of 447,027 older adult emergency general surgery patients were included; the main diagnostic category was colorectal (22.6%), and 78.2% of patients underwent non-operative management during the index hospitalization. By 90 days post-discharge, 189,622 (24.3%) patients had an unplanned readmission. Of those readmitted, 20.8% had care fragmentation. The median age of patients with care fragmentation was 76 years, and 53.2% were of female sex. Predictors of care fragmentation were living in rural counties (odds ratio 1.76, 95% confidence interval: 1.57-1.97), living in a low-income ZIP Code, discharge to intermediate care facility (odds ratio 1.28, 95% confidence interval: 1.22-1.33), initial non-operative management (odds ratio 1.17, 95% confidence interval: 1.12-1.23), leaving against medical advice (odds ratio 2.60, 95% confidence interval: 2.29-2.96), and discharge from private investor-owned hospitals (odds ratio 1.18, 95% confidence interval: 1.10-1.27). Care fragmentation was significantly associated with higher mortality. CONCLUSION: The burden of unplanned readmissions in older adult patients who survive an emergency general surgery admission is underestimated, and these patients frequently experience care fragmentation. Future directions should prioritize evaluating the impact of initiatives aimed at alleviating the incidence and complications of care fragmentation in geriatric emergency general surgery patients.

Debunking the "Obesity Paradox": Obesity is Associated With Adverse Outcomes in Emergency General Surgery.

INTRODUCTION: Obesity is increasingly prevalent both nationwide and in the emergency general surgery (EGS) population. While previous studies have shown that obesity may be protective against mortality following EGS procedures, the association between body mass index (BMI) and postoperative outcomes, as well as intraoperative decision-making, remains understudied. METHODS: The National Surgical Quality Improvement Program 2015-2019 database was used to identify all adult patients undergoing an open abdominal or abdominal wall procedure for EGS conditions. Our outcomes included 30-d postoperative mortality, composite 30-d morbidity, delayed fascial closure, reoperation, operative time, and hospital length of stay (LOS). Multivariable logistic regression models were used to explore the association between BMI and each outcome of interest while adjusting for patient demographics, comorbidities, laboratory tests, preoperative and intraoperative variables. RESULTS: We identified 78,578 patients, of which 3121 (4%) were categorized as underweight, 23,661 (30.1%) as normal weight, 22,072 (28.1%) as overweight, 14,287 (18.2%) with class I obesity, 7370 (9.4%) with class II obesity, and 8067 (10.3%) with class III obesity. Class III obesity was identified as a risk factor for 30-d postoperative morbidity (adjusted odds ratio 1.14, 95% CI, 1.03-1.26, P < 0.01). An increase in obesity class was also associated with a stepwise increase in the risk of undergoing delayed fascial closure, experiencing a prolonged operative time, and having an extended LOS. CONCLUSIONS: Obesity class was associated with an increase in delayed fascial closure, longer operative time, higher reoperation rates, and extended hospital LOS. Further studies are needed to explore how a patient's BMI impacts intraoperative factors, influences surgical decision-making, and contributes to hospital costs.

The Open Abdomen After Intra-abdominal Contamination in Emergency General Surgery.

INTRODUCTION: Delayed fascial closure (DFC) is an increasingly utilized technique in emergency general surgery (EGS), despite a lack of data regarding its benefits. We aimed to compare the clinical outcomes of DFC versus immediate fascial closure (IFC) in EGS patients with intra-abdominal contamination. METHODS: This retrospective study was conducted using the 2013-2020 American College of Surgeons National Surgical Quality Improvement Program database. Adult EGS patients who underwent an exploratory laparotomy with intra-abdominal contamination [wound classification III (contaminated) or IV (dirty)] were included. Patients with agreed upon indications for DFC were excluded. A propensity-matched analysis was performed. The primary outcome was 30-d mortality. RESULTS: We identified 36,974 eligible patients. 16.8% underwent DFC, of which 51.7% were female, and the median age was 64 y. After matching, there were 6213 pairs. DFC was associated with a higher risk of mortality (15.8% versus 14.2%, P = 0.016), pneumonia (11.7% versus 10.1%, P = 0.007), pulmonary embolism (1.9% versus 1.6%, P = 0.03), and longer hospital stay (11 versus 10 d, P < 0.001). No significant differences in postoperative sepsis and deep surgical site infection rates between the two groups were observed. Subgroup analyses by preoperative diagnosis (diverticulitis, perforation, and undifferentiated sepsis) showed that DFC was associated with longer hospital stay in all subgroups, with a higher mortality rate in patients with diverticulitis (8.1% versus 6.1%, P = 0.027). CONCLUSIONS: In the presence of intra-abdominal contamination, DFC is associated with longer hospital stay and higher rates of mortality and morbidity. DFC was not associated with decreased risk of infectious complications. Further studies are needed to clearly define the indications of DFC.

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.

The association of disability conditions with access to minimally invasive general surgery.

BACKGROUND: Despite the high prevalence of disability conditions in the US, their association with access to minimally invasive surgery (MIS) remains under-characterized. OBJECTIVE: To understand the association of disability conditions with rates of MIS and describe nationwide temporal trends in MIS in patients with disability conditions. METHODS: We conducted a retrospective cohort study using the Nationwide Readmission Database (2016-2019). We included patients ≥18 years undergoing general surgery procedures. Our primary outcome was the impact of disability conditions on the rate of MIS. We performed 1:1 propensity matching, comparing patients with disability conditions with those without and adjusting for patient, procedure, and hospital characteristics. We performed a subgroup analysis among patients<65 years and with patients with each type of disability. We evaluated temporal trends of MIS in patients with disabilities. We identified predictors of undergoing MIS using mixed effects regression analysis. RESULTS: In the propensity-matched comparison, a lower proportion of patients with disabilities had MIS. In the sub-group analyses, the rate of MIS was significantly lower in patients below 65 years with disabilities and among patients with motor and intellectual impairments. There was an increasing trend in the proportion of patients with disabilities undergoing MIS (p < 0.005). The regression analysis confirmed that the presence of a disability was associated with decreased odds of undergoing MIS. CONCLUSIONS: This study characterizes the negative association of disability conditions with access to MIS. As the healthcare landscape evolves, considerations on how to equitably share new treatment modalities with a wide range of patient populations are necessary.

Patients Lost to Follow-up After Injury: Who are They and What are Their Long-Term Outcomes?

INTRODUCTION: Trauma patients are at high risk for loss to follow-up (LTFU) after hospital discharge. We sought to identify risk factors for LTFU and investigate associations between LTFU and long-term health outcomes in the trauma population. METHODS: Trauma patients with an Injury Severity Score ≥9 admitted to one of three Level-I trauma centers, 2015-2020, were surveyed via telephone 6 mo after injury. Univariate and multivariate analyses were performed to assess factors associated with LTFU and several long-term outcomes. RESULTS: Of 3609 patients analyzed, 808 (22.4%) were LTFU. Patients LTFU were more likely to be male (71% versus 61%, P = 0.001), Black (22% versus 14%, P = 0.003), have high school or lower education (50% versus 42%, P = 0.003), be publicly insured (23% versus 13%, P < 0.001), have a penetrating injury (13% versus 8%, P = 0.006), have a shorter length of stay (3.64 d ± 4.09 versus 5.06 ± 5.99, P < 0.001), and be discharged home without assistance (79% versus 50%, P < 0.001). In multivariate analyses, patients who followed up were more likely to require assistance at home (6% versus 11%; odds ratio [OR] 2.23, 1.26-3.92, P = 0.005), have new functional limitations (11% versus 26%; OR 2.91, 1.97-4.31, P = < 0.001), have daily pain (30% versus 48%; OR 2.11, 1.54-2.88, P = < 0.001), and have more injury-related emergency department visits (7% versus 10%; OR 1.93, 1.15-3.22, P = 0.012). CONCLUSIONS: Vulnerable populations are more likely to be LTFU after injury. Clinicians should be aware of potential racial and socioeconomic disparities in follow-up care after traumatic injury. Future studies investigating improvement strategies in follow-up care should be considered.

Traumatic lower extremity amputation as a risk factor for venous thromboembolism.

BACKGROUND: This study aimed to evaluate whether lower extremity (LE) amputation among civilian casualties is a risk factor for venous thromboembolism. METHODS: All patients with severe LE injuries (AIS ≥3) derived from the ACS-TQIP (2013-2020) were divided into those who underwent trauma-associated amputation and those with limb salvage. Propensity score matching was used to mitigate selection bias and confounding and compare the rates of pulmonary embolism (PE) and deep vein thrombosis (DVT). RESULTS: A total of 145,667 patients with severe LE injuries were included, with 3443 patients requiring LE amputation. After successful matching, patients sustaining LE amputation still experienced significantly higher rates of PE (4.2% vs. 2.5%, p â€‹< â€‹0.001) and DVT (6.5% vs. 3.4%, p â€‹< â€‹0.001). A sensitivity analysis examining patients with isolated major LE trauma similarly showed a higher rate of thromboembolic complications, including higher incidences of PE (3.2% vs. 2.0%, p â€‹= â€‹0.015) and DVT (4.7% vs. 2.6%, p â€‹< â€‹0.001). CONCLUSIONS: In this nationwide analysis, traumatic lower extremity amputation is associated with a significantly higher risk of VTE events, including PE and DVT.

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.

Optimal dose of cryoprecipitate in massive transfusion following trauma.

BACKGROUND: While cryoprecipitate (Cryo) is commonly included in massive transfusion protocols for hemorrhagic shock, the optimal dose of Cryo transfusion remains unknown. We evaluated the optimal red blood cell (RBC) to RBC to Cryo ratio during resuscitation in massively transfused trauma patients. METHODS: Adult patients in the American College of Surgeon Trauma Quality Improvement Program (2013-2019) receiving massive transfusion (≥4 U of RBCs, ≥1 U of fresh frozen plasma, and ≥1 U of platelets within 4 hours) were included. A unit of Cryo was defined as a pooled unit of 100 mL. The RBC:Cryo ratio was calculated for blood products transfused within 4 hours of presentation. The association between RBC:Cryo and 24-hour mortality was analyzed with multivariable logistic regression adjusting for the volume of RBC, plasma and platelet transfusions, global and regional injury severity, and other relevant variables. RESULTS: The study cohort included 12,916 patients. Among those who received Cryo (n = 5,511 [42.7%]), the median RBC and Cryo transfusion volume within 4 hours was 11 U (interquartile range, 7-19 U) and 2 U (interquartile range, 1-3 U), respectively. Compared with no Cryo administration, only RBC:Cryo ratios ≤8:1 were associated with a significant survival benefit, while lower doses of Cryo (RBC:Cryo >8:1) were not associated with decreased 24-hour mortality. Compared with the maximum dose of Cryo administration (RBC:Cryo, 1:1-2:1), there was no difference in 24-hour mortality up to RBC:Cryo of 7:1 to 8:1, whereas lower doses of Cryo (RBC:Cryo, >8:1) were associated with significantly increased 24-hour mortality. CONCLUSION: One pooled unit of Cryo (100 mL) per 7 to 8 U of RBCs could be the optimal dose of Cryo in trauma resuscitation that provides a significant survival benefit while avoiding unnecessary blood product transfusions. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; Level IV.

Negative pressure wound therapy for emergency laparotomy incisions: A national database propensity matched study.

BACKGROUND: Surgical site infections (SSI) are a common complication of laparotomy incisions. The role of Negative Pressure Wound Therapy (NPWT) in preventing SSIs has not yet been explored in a nationwide analysis. We aimed to evaluate the association of the prophylactic use of NPWT with SSIs in patients undergoing an emergency laparotomy procedure. METHODS: We conducted a retrospective cohort study using the National Surgery Quality Initiative Program (NSQIP) database from 2013 to 2020. We included patients ≥18 years undergoing an emergency laparotomy. We performed a 1:1 propensity matching adjusting for patient age, sex, race, ethnicity, BMI, comorbid conditions, ASA status, diagnosis, preoperative factors and laboratory variables, procedure type, wound class, and intraoperative variables. We compared NPWT with standard dressings in two patient populations: 1. patients with completely closed (skin and fascia) laparotomy incisions and 2. patients with partially closed (fascia only) laparotomy incisions. Our primary outcome was the rate of incisional SSI. Secondary outcomes included the type of SSI, postoperative 30-day complications, postoperative hospital length of stay, and discharge disposition. RESULTS: We included 65,803 patients with completely closed incisions of whom 387 patients received NPWT. There was no significant difference in the rate of total SSIs (13.4 â€‹% vs. 11.9 â€‹%; p â€‹= â€‹0.52) in the matched population of 387 pairs. We included 7285 patients with partially closed incisions of whom 477 patients received NPWT. There was no significant difference in the rate of total SSIs (3.6 â€‹% vs. 4.4 â€‹%; p â€‹= â€‹0.51) in the matched population of 477 pairs. Secondary outcomes did not differ significantly in either group. CONCLUSION: The rate of SSIs was not significantly different when prophylactic NPWT was used compared to standard dressings for patients with a closed or partially closed laparotomy incision.

From admission to vaccination: COVID-19 vaccination patterns and their relationship with hospitalization in trauma patients.

BACKGROUND: COVID-19 vaccination rates in the hospitalized trauma population are not fully characterized and may lag behind the general population. This study aimed to outline COVID-19 vaccination trends in hospitalized trauma patients and examine how hospitalization influences COVID-19 vaccination rates. METHODS: We conducted a retrospective institutional study using our trauma registry paired with the COVID-19 vaccination ENCLAVE registry. We included patients ≥18 years admitted between April 21, 2021 and November 30, 2022. Our primary outcome was the change in vaccination posthospitalization, and secondary analyzed outcomes included temporal trends of vaccination in trauma patients and predictors of non-vaccination. We compared pre and posthospitalization weekly vaccination rates. We performed joinpoint regression to depict temporal trends and multivariate regression for predictors of nonvaccination. RESULTS: The rate of administration of the first vaccine dose increased in the week after hospitalization (P = .018); however, this increase was not sustained in the following weeks. The percentage of unvaccinated patients declined faster in the general population in Massachusetts compared to the hospitalized trauma population. By the conclusion of the study, 27.1% of the trauma population was unvaccinated, whereas <5% of the Massachusetts population was unvaccinated. Urban residence, having multiple hospitalizations, and experiencing moderate to severe frailty were associated with vaccination. Conversely, being in the age groups 18 to 45 years and 46 to 64 years, as well as having Medicaid or self-pay insurance, were linked to being unvaccinated. CONCLUSION: Hospitalization initially increased the rate of administration of the first vaccine dose in trauma patients, but the effect was not sustained. By the conclusion of the study period, a greater percentage of trauma patients were unvaccinated compared to the general population of Massachusetts. Strategies for sustained health care integration need to be developed to address this ongoing challenge in the high-risk trauma population.

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.

Delayed hemothorax readmissions after rib fracture in blunt trauma patients.

Background: Rib fractures are the most common traumatic injury. Hemothorax is one of the widespread complications associated with a rib fracture and occurs in 10-37 % of all rib fractures. Delayed hemothorax (DHTX) is defined as an accumulation of blood within the pleural cavity. Although there is extensive literature on hemothorax, there is limited literature on rib fractures and DHTX readmissions. The objective of this study was to identify potential risk factors for DHTX readmission and examine descriptive information on readmission. Methods: Using the 2016-2019 National Readmission Database (NRD), patients that experienced an admission with a blunt traumatic rib fracture were included. It was determined if the patients experienced DHTX by screening for an admission containing an ICD-10 code for hemothorax within 30 days after an admission containing a ICD-10 code for rib fracture. Univariable and multivariable analysis was performed to determine independent risk factors associated with DHTX readmission. Additionally, information on the clinical and financial characteristics of DHTX readmissions were examined. Results: A total of 242,071 patients were included, of whom 635 experienced DHTX readmission ≤30 days after discharge. Diagnosed with hemothorax on the index admission had the largest odds ratio for DHTX readmission (7.43 [6.14-8.99], P < 0.001). Complications found during DHTX readmission included acute respiratory failure (16.9 %), sepsis (6.9 %), and empyema (4.3 %). Treatment mainly consisted of pleural drainage (62.2 %) and video-assisted thoracoscopic surgery (VATS) evacuation of hemothorax (10.1 %). Conclusion: Patients admitted for a rib fracture have a low incidence for DHTX readmission within 30 days. However, multivariable analysis has demonstrated some risk and protective factors associated with DHTX readmission. Further studies should focus on exploring these risk factors to screen for potential DHTX readmission and/or protective factors to decrease the change for DHTX readmission.

Use of artificial intelligence for nonlinear benchmarking of surgical care.

BACKGROUND: Existent methodologies for benchmarking the quality of surgical care are linear and fail to capture the complex interactions of preoperative variables. We sought to leverage novel nonlinear artificial intelligence methodologies to benchmark emergency surgical care. METHODS: Using a nonlinear but interpretable artificial intelligence methodology called optimal classification trees, first, the overall observed mortality rate at the index hospital's emergency surgery population (index cohort) was compared to the risk-adjusted expected mortality rate calculated by the optimal classification trees from the American College of Surgeons National Surgical Quality Improvement Program database (benchmark cohort). Second, the artificial intelligence optimal classification trees created different "nodes" of care representing specific patient phenotypes defined by the artificial intelligence optimal classification trees without human interference to optimize prediction. These nodes capture multiple iterative risk-adjusted comparisons, permitting the identification of specific areas of excellence and areas for improvement. RESULTS: The index and benchmark cohorts included 1,600 and 637,086 patients, respectively. The observed and risk-adjusted expected mortality rates of the index cohort calculated by optimal classification trees were similar (8.06% [95% confidence interval: 6.8-9.5] vs 7.53%, respectively, P = .42). Two areas of excellence and 4 for improvement were identified. For example, the index cohort had lower-than-expected mortality when patients were older than 75 and in respiratory failure and septic shock preoperatively but higher-than-expected mortality when patients had respiratory failure preoperatively and were thrombocytopenic, with an international normalized ratio ≤1.7. CONCLUSION: We used artificial intelligence methodology to benchmark the quality of emergency surgical care. Such nonlinear and interpretable methods promise a more comprehensive evaluation and a deeper dive into areas of excellence versus suboptimal care.

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.

Timing of regional analgesia in elderly patients with blunt chest-wall injury.

BACKGROUND: Rib fractures represent a typical injury pattern in older people and are associated with respiratory morbidity and mortality. Regional analgesia modalities are adjuncts for pain management, but the optimal timing for their initiation remains understudied. We hypothesized that early regional analgesia would have similar outcomes to late regional analgesia. METHODS: We retrospectively reviewed the American College of Surgeons Trauma Quality Improvement Program database from 2017 to 2019. We included patients ≥65 years old admitted with blunt chest wall trauma who received regional analgesia. We divided patients into 2 groups: (1) early regional analgesia (within 24 hours of admission) and (2) late regional analgesia (>24 hours). The outcomes evaluated were ventilator-associated pneumonia, mortality, unplanned intensive care unit admission, unplanned intubation, discharge to home, and duration of stay. Univariable analysis and multivariable logistic regression adjusting for patient and injury characteristics, trauma center level, and respiratory interventions were performed. RESULTS: In the study, 2,248 patients were included. The mean (standard deviation) age was 75.3 (6.9), and 52.7% were male. The median injury severity score (interquartile range) was 13 (9-17). The early regional analgesia group had a decreased incidence of unplanned intubation (2.7% vs 5.3%, P = .002), unplanned intensive care unit admission (4.9% vs 8.4%, P < .001), and shorter mean duration of stay (5.5 vs 6.5 days, P = .002). In multivariable analysis, early regional analgesia was associated with decreased odds of unplanned intubation (odds ratio, 0.58; 95% confidence interval, 0.36-0.94; P = .026), unplanned intensive care unit admission (odds ratio, 0.60; 95% confidence interval, 0.041-0.86; P = .006), and increased odds of discharge to home (odds ratio, 1.27; 95% confidence interval, 1.04-1.55; P = .019). After multivariable adjustment, no significant difference was found for ventilator-associated pneumonia or mortality (odds ratio, 0.60; 95% confidence interval, 0.34-1.04; P = .070). CONCLUSION: Early regional analgesia initiation is associated with improved outcomes in older people with blunt chest wall injuries. Geriatric trauma care bundles targeting early initiation of regional analgesia can potentially decrease complications and resource use.

Predictors of Mortality in Extracorporeal Membrane Oxygenation Support Patients Following Major Trauma.

INTRODUCTION: The usage of extracorporeal membrane oxygenation (ECMO) in trauma patients has increased significantly within the past decade. Despite increased research on ECMO application in trauma patients, there remains limited data on factors predicting morbidity and mortality outcome. Therefore, the primary objective of this study is to describe patient characteristics that are independently associated with mortality in ECMO therapy in trauma patients, to further guide future research. METHODS: This retrospective study was conducted using the Trauma Quality Improvement Program database from 2010 to 2019. All adult (age ≥ 16 y) trauma patients that utilized ECMO were included. A Significant differences (P < 0.05) in demographic and clinical characteristics between groups were calculated using an independent t-test for normal distributed continuous values, a Mann-Whitney U test for non-normal distributed values, and a Pearson chi-square test for categorical values. A multivariable regression model was used to identify independent predictors for mortality. A survival flow chart was constructed by using the strongest predictive value for mortality and using the optimal cut-off point calculated by the Youden index. RESULTS: Five hundred forty-two patients were included of whom 205 died. Multivariable analysis demonstrated that the female gender, ECMO within 4 h after presentation, a decreased Glasgow Coma Scale, increased age, units of blood in the first 4 h, and abbreviated injury score for external injuries were independently associated with mortality in ECMO trauma patients. It was found that an external abbreviated injury score of ≥3 had the strongest predictive value for mortality, as patients with this criterion had an overall 29.5% increased risk of death. CONCLUSIONS: There is an ongoing increasing trend in the usage of ECMO in trauma patients. This study has identified multiple factors that are individually associated with mortality. However, more research must be done on the association between mortality and noninjury characteristics like Pao2/Fio2 ratio, acute respiratory distress syndrome classification, etc. that reflect the internal state of the patient.

Low-molecular-weight heparin is superior to unfractionated heparin in lowering the risk of venous thromboembolism after traumatic lower extremity amputation.

BACKGROUND: Patients undergoing lower extremity amputation after trauma are at high risk of venous thromboembolism. Practice variations persist regarding the optimal pharmacologic agent for venous thromboembolism prophylaxis in this patient population. We aimed to compare the efficacy of unfractionated heparin versus low-molecular-weight heparin in preventing venous thromboembolism. METHODS: Using the 2013 to 2019 American College of Surgeons Pediatric Trauma Quality Improvement Program database, all trauma patients (≥18) who underwent lower limb amputation and received venous thromboembolism thromboprophylaxis in the form of unfractionated heparin or low-molecular-weight heparin were included. We excluded patients who died within 24 hours of admission or those who received no thromboprophylaxis. The primary outcome was the rate of venous thromboembolism. Multivariable logistic regression was used to evaluate the independent relationship between the type of pharmacologic prophylaxis and the risk of venous thromboembolism. RESULTS: A total of 4,103 patients who underwent lower extremity amputation were identified. Patients were primarily young (median age 43 years) with blunt injuries (83%). The overall rate of venous thromboembolism was 8.6%. Most (77%) patients received low-molecular-weight heparin-based prophylaxis. Compared with patients without venous thromboembolism, the venous thromboembolism cohort had a greater injury severity score (19 vs 13, P < .001), had more patients undergoing above-the-knee amputation (48% vs 36%, P < .001), and less frequently received low-molecular-weight heparin (64% vs 78%, P < .001). Multivariable analysis showed that low-molecular-weight heparin was associated with a significantly lower venous thromboembolism rate than unfractionated heparin (odds ratio: 0.65 [0.51-0.83], P < .001). CONCLUSION: Thromboprophylaxis with low-molecular-weight heparin was found to be superior to unfractionated heparin in lowering the risk of venous thromboembolism among traumatic amputees and should be the preferred pharmacologic agent in this patient population prone to venous thromboembolism.

Artificial intelligence versus surgeon gestalt in predicting risk of emergency general surgery.

BACKGROUND: Artificial intelligence (AI) risk prediction algorithms such as the smartphone-available Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) for emergency general surgery (EGS) are superior to traditional risk calculators because they account for complex nonlinear interactions between variables, but how they compare to surgeons' gestalt remains unknown. Herein, we sought to: (1) compare POTTER to surgeons' surgical risk estimation and (2) assess how POTTER influences surgeons' risk estimation. STUDY DESIGN: A total of 150 patients who underwent EGS at a large quaternary care center between May 2018 and May 2019 were prospectively followed up for 30-day postoperative outcomes (mortality, septic shock, ventilator dependence, bleeding requiring transfusion, pneumonia), and clinical cases were systematically created representing their initial presentation. POTTER's outcome predictions for each case were also recorded. Thirty acute care surgeons with diverse practice settings and levels of experience were then randomized into two groups: 15 surgeons (SURG) were asked to predict the outcomes without access to POTTER's predictions while the remaining 15 (SURG-POTTER) were asked to predict the same outcomes after interacting with POTTER. Comparing to actual patient outcomes, the area under the curve (AUC) methodology was used to assess the predictive performance of (1) POTTER versus SURG, and (2) SURG versus SURG-POTTER. RESULTS: POTTER outperformed SURG in predicting all outcomes (mortality-AUC: 0.880 vs. 0.841; ventilator dependence-AUC: 0.928 vs. 0.833; bleeding-AUC: 0.832 vs. 0.735; pneumonia-AUC: 0.837 vs. 0.753) except septic shock (AUC: 0.816 vs. 0.820). SURG-POTTER outperformed SURG in predicting mortality (AUC: 0.870 vs. 0.841), bleeding (AUC: 0.811 vs. 0.735), pneumonia (AUC: 0.803 vs. 0.753) but not septic shock (AUC: 0.712 vs. 0.820) or ventilator dependence (AUC: 0.834 vs. 0.833). CONCLUSION: The AI risk calculator POTTER outperformed surgeons' gestalt in predicting the postoperative mortality and outcomes of EGS patients, and when used, improved the individual surgeons' risk prediction. Artificial intelligence algorithms, such as POTTER, could prove useful as a bedside adjunct to surgeons when preoperatively counseling patients. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level II.