Association of timing and agent for VTE prophylaxis in patients with severe traumatic brain injury on VTE, mortality, neurosurgical intervention, and discharge disposition.

BACKGROUND: Trauma patients are at increased risk for venous thromboembolism events (VTE). The decision of when to initiate VTE chemoprophylaxis (VTEP) and with what agent remains controversial in patients with severe traumatic brain injury (TBI). METHODS: This comparative effectiveness study evaluated the impact of timing and agent for VTEP on outcomes for patients with severe TBI (AIS Head = 3,4, or 5). Data was collected at 35 Level 1 and 2 trauma centers from January 1, 2017 to June 1, 2022. Patients were placed into analysis cohorts: No VTEP, low-molecular weight heparin (LMWH) ≤ 48 hours, LMWH>48 hours, Heparin≤48 hours, Heparin>48 hours. Propensity score matching accounting for patient factors and injury characteristics was used with logistic regression modeling to evaluate in-hospital mortality, VTE events, and discharge disposition. Neurosurgical intervention after initiation of VTEP was used to evaluate extension of intracranial hemorrhage. RESULTS: Of 12,879 patients, 32% had no VTEP, 36% LMWH, and 32% Heparin. Overall mortality was 8.3% and lowest among patients receiving LMWH≤48 hours (4.1%). VTE rates were lower with use of LMWH (1.6 vs 4.5%, OR 2.98, 95% CI 1.40-6.34, p = 0.005) without increasing mortality or neurosurgical interventions. VTE rates were lower with early prophylaxis (2.0 vs 3.5%, OR 1.76, 95% CI 1.15-2.71, p = 0.01) without increasing mortality (p = 1.0). Early VTEP was associated with more non-fatal intracranial operations (p < 0.001). However, patients undergoing neurosurgical intervention after VTEP initiation had no difference in rates of mortality, withdrawal of care, or unfavorable discharge disposition (p = 0.7, p = 0.1, p = 0.5). CONCLUSIONS: In patients with severe TBI, LMWH usage was associated with lower VTE incidence without increasing mortality or neurosurgical interventions. Initiation of VTEP≤48 hours decreased VTE incidence and increased non-fatal neurosurgical interventions without affecting mortality. LMWH is the preferred VTEP agent for severe TBI, and initiation ≤48 hours should be considered in relation to these risks and benefits. LEVEL OF EVIDENCE: Therapeutic/Care Management, Level III.

The North Equatorial Current and rapid intensification of super typhoons.

Super Typhoon Mangkhut, which traversed the North Equatorial Current (NEC; 8-17 °N) in the western North Pacific in 2018, was the most intense Category-5 tropical cyclone (TC) with the longest duration in history-3.5 days. Here we show that the combination of two factors-high ocean heat content (OHC) and increased stratification - makes the NEC region the most favored area for a rapid intensification (RI) of super typhoons, instead of the Eddy Rich Zone (17-25 °N), which was considered the most relevant for RI occurrence. The high OHC results from a northward deepening thermocline in geostrophic balance with the westward-flowing NEC. The stratification is derived from precipitation associated with the Inter-Tropical Convergence Zone in the summer peak typhoon season. These factors, which are increasingly significant over the past four decades, impede the TC-induced sea surface cooling, thus enhancing RI of TCs and simultaneously maintaining super typhoons over the NEC region.

Characterization of a composite based on Cissus dinklagei tannin resin.

The tannin extract of Cissus dinklagei was used in the preparation of a 3 % paraformaldehyde resin for the manufacture of particleboard. This tannin is of the procyanidin type associated with furan residues. The modulus of elasticity of the resin obtained after the thermomechanical analysis is 3825 MPa. The TGA performed on the panels obtained shows three degradation zones with a thermal stability zone between 74 and 210 °C. These panels have good thermomechanical properties. The values of the best density, internal bond, modulus of elasticity in flexion (MOE) and resistance to flexion (MOR) are respectively 658 kg/m3; 0.52 MPa; 2035.4 MPa; 16.3 MPa. These results classify this panel for generalinterior construction and furniture uses according to the NF EN 312 standard.

Global coastal wave storminess.

Coastal wave storms pose a massive threat to over 10% of the world's population now inhabiting the low elevation coastal zone and to the trillions of $ worth of coastal zone infrastructure and developments therein. Using a ~ 40-year wave hindcast, we here present a world-first assessment of wind-wave storminess along the global coastline. Coastal regions are ranked in terms of the main storm characteristics, showing Northwestern Europe and Southwestern South America to suffer, on average, the most intense storms and the Yellow Sea coast and the South-African and Namibian coasts to be impacted by the most frequent storms. These characteristics are then combined to derive a holistic classification of the global coastlines in terms of their wave environment, showing, for example, that the open coasts of northwestern Europe are impacted by more than 10 storms per year with mean significant wave heights over 6 m. Finally, a novel metric to classify the degree of coastal wave storminess is presented, showing a general latitudinal storminess gradient. Iceland, Ireland, Scotland, Chile and Australia show the highest degree of storminess, whereas Indonesia, Papua-New Guinea, Malaysia, Cambodia and Myanmar show the lowest.

Endovascular Therapy in the Extended Time Window for Large Vessel Occlusion in Patients With Pre-Stroke Disability / 대한뇌졸중학회지

Background@#and Purpose We compared the outcomes of endovascular therapy (EVT) in an extended time window in patients with large-vessel occlusion (LVO) between patients with and without pre-stroke disability. @*Methods@#In this prespecified analysis of the multinational CT for Late Endovascular Reperfusion study (66 participating sites, 10 countries between 2014 and 2022), we analyzed data from patients with acute ischemic stroke with a pre-stroke modified Rankin Scale (mRS) score of 0–4 and LVO who underwent EVT 6–24 hours from the time last seen well. The primary outcome was the composite of functional independence (FI; mRS score 0–2) or return to the pre-stroke mRS score (return of Rankin, RoR) at 90 days. Outcomes were compared between patients with pre-stroke disability (pre-stroke mRS score 2–4) and those without (mRS score 0–1). @*Results@#A total of 2,231 patients (median age, 72 years; median National Institutes of Health Stroke Scale score, 16) were included in the present analysis. Of these, 564 (25%) had pre-stroke disability. The primary outcome (FI or RoR) was observed in 30.7% of patients with pre-stroke disability (FI, 16.5%; RoR, 30.7%) compared to 44.1% of patients without (FI, 44.1%; RoR, 13.0%) (P<0.001). In multivariable logistic regression analysis with inverse probability of treatment weighting, pre-stroke disability was not associated with significantly lower odds of achieving FI or RoR (adjusted odds ratio 0.73, 95% confidence interval 0.43–1.25). Symptomatic intracranial hemorrhage occurred in 6.3% of both groups (P=0.995). @*Conclusion@#A considerable proportion of patients with late-presenting LVO and pre-stroke disability regained pre-stroke mRS scores after EVT. EVT may be appropriate for patients with pre-stroke disability presenting in the extended time window.

Risk Factors for the Failure of Non-operative Management Among Patients Admitted for Colonic Diverticulitis.

BACKGROUND: Diverticulitis is one of the most diagnosed gastrointestinal diseases in the country, and its incidence has risen over time, especially among younger populations, with increasing attempts at non-operative management. We elected to look at acute diverticular disease from the lens of a failure analysis, where we could estimate the hazard of requiring operative intervention based upon several clinical factors. MATERIALS AND METHODS: The National Inpatient Sample (NIS) was queried between 2010 and 2015 for unplanned admissions among adults with a primary diagnosis of diverticulitis. We used a proportional hazards regression to estimate the hazard of failed non-operative management from multiple clinical covariates, measured as the number of inpatient days from admission until colonic resection. We also evaluated patients who received percutaneous drainage, to investigate whether this was associated with decreasing the failure rate of non-operative management. RESULTS: A total of 830,993 discharges over the study period, of whom 83,628 (10.1%) underwent operative resection during the hospitalization, and 35,796 (4.3%) patients underwent percutaneous drainage. Half of all operations occurred by hospital day 1. Among patients treated with percutaneous drainage, 11% went on to require operative intervention. The presence of a peritoneal abscess (HR 3.20, P < .01) and sepsis (HR 4.16, P < .01) were the strongest predictors of failing non-operative management. Among the subset of patients with percutaneous drains, the mean time from admission to drain placement was 2.3 days. CONCLUSION: Overall 10.1% of unplanned admissions for diverticulitis result in inpatient operative resection, most of which occurred on the day of admission. Percutaneous drainage was associated with an 11% operative rate.

Severe COVID-19 in 2 Kidney Transplant Patients in Gabon.

BACKGROUND Kidney failure is a public health problem that may require transplantation for patient survival and for those at risk of developing infectious diseases such as COVID-19 due to severe immunosuppression. We report the case of 2 kidney transplant patients who contracted COVID-19. CASE REPORT Patient 1: A 60-year-old Gabonese man presented with 8 days of wet cough, fever, and myalgias associated secondarily with dyspnea, without anosmia or ageusia. His medical history included renal transplant for malignant nephro-angiosclerosis and high blood pressure. The oxygen saturation level subsequently fell to 89-90%. The diagnosis of acute hypoxic respiratory failure secondary to COVID-19 pneumonia with heart and acute renal failure on renal transplant was made based on clinical symptoms, lung imaging results, and a positive SARS-CoV-2 nasal swab PCR test. Patient 2: A 79-year-old Gabonese man presented with 10 days of dry cough associated with intermittent fevers not quantified, anorexia, and fatigue. The patient's medical history was high blood pressure, diabetes mellitus, and renal transplantation. Oxygen saturation level decreased to 85-89% in ambient air. Clinical signs and chest CT scan showed 70% lung lesions with large areas of ground-glass opacity with essentially peripheral distribution of both lungs associated with crazy paving, condensation, bronchiectasis, and arterial dilatation, suggesting severe COVID-19. CONCLUSIONS Those 2 presentations highlight the fact that a severe clinical form of COVID-19 associated with acute renal failure and kidney transplant can be fatal. Kidney transplantation is a risk factor for poor prognosis in patients with severe COVID-19 and greatly worsens the mortality rate of immunocompromised patients.

Evaluation of Firearm-Related Reinjury in Connecticut: An Opportunity for Gun Violence Prevention.

BACKGROUND: The regional extent of the risk of repeat firearm-related injury (FRI) and homicide mortality for victims of firearm injury in Connecticut is unknown. In this study, we evaluate the risk of repeat firearm injury in survivors of firearm violence in Connecticut. METHODS: Using medical record data from the Yale New Haven Health (YNHH) system and data from the Connecticut Office of the Chief Medical Examiner, we conducted a cohort study of patients with an FRI in 2014 to determine their risk of a repeat firearm injury or mortality from homicide in the ensuing 5 years compared with nonviolence-related trauma patient controls. RESULTS: We identified 94 patients with an FRI in the YNHH system from 2014 who survived to discharge. Of these patients, 8.5% (8 of 94) had a repeat FRI and 2% (2 of 94) died from homicide within the next 5 years. Compared with nonviolence-related trauma patients from 2014 (n = 2001), those with an FRI had 12 times the odds of a repeat firearm injury (odds ratio: 12.0, P = 0.047) in the next 5 years after adjustment for relevant covariates. CONCLUSIONS: Of the patients presenting with an initial FRI in the YNHH system, one in twelve will experience another firearm injury within the next 5 years. These data indicate that firearm-related reinjury is common in Connecticut and suggest the need for further violence prevention efforts.

Assessing the Race, Ethnicity, and Gender Inequities in Blood Alcohol Testing After Trauma.

INTRODUCTION: Alcohol use remains a significant contributing factor in traumatic injuries in the United States, resulting in substantial patient morbidity and societal cost. Because of this, the American College of Surgeons Verification, Review, and Consultation Program requires the screening of 80% of trauma admissions. Multiple studies suggest that patients who use alcohol are subject to stigma by health care providers and may ultimately face legal and financial ramifications of a positive alcohol screening test. There is also evidence that sociodemographic factors may dictate drug and alcohol screening patterns among patients. Because this screening target is often not uniformly achieved among all patients presenting with injury, we sought to investigate whether there are any discrepancies in screening across sociodemographic groups. METHODS: We investigated the Trauma Quality Program Participant User File for all trauma cases admitted during 2017 and compared the rates of the serum alcohol screening test across different demographic factors, including race and ethnicity. We then performed an adjusted multivariable logistic regression to determine the odds ratio (OR) for receiving a test based on these demographic factors adjusted for hospital and clinical factors. RESULTS: There were 729,174 traumas included in the study. Of this group, 345,315 (47.4%) were screened with a serum alcohol test. Screening rates varied by injury mechanism and were highest among motorcycle crashes (66.0% of patients screened) and lowest among falls (32.8% of patients screened). Overall, Asian and Pacific Islander (52.5% screened), Black (57.7% screened), and other race (58.4% screened) had higher rates of alcohol screening than White patients (43.7% screened, P < 0.001). Similarly, Hispanic patients were screened at higher rates than non-Hispanic patients (56.4% screening versus 46.2% screening, P < 0.001). These differences persisted across nearly all injury categories. In multivariable logistic regression, Asian and Pacific Islanders were associated with the highest odds of being screened (OR 1.34, P < 0.001) followed by other race (OR 1.25, P < 0.001) in comparison to White patients. CONCLUSIONS: There are consistent and significant differences in alcohol screening rates across race and ethnicity, despite accounting for injury mechanism and comorbidities.

Biochemical and hematological factors associated with COVID-19 severity among Gabonese patients: A retrospective cohort study.

The COVID-19 disease presents a large range of clinical manifestations and includes asymptomatic, mild, and severe cases. The level of severity is related to parameters associated with immunity, genetics, and biochemistry. Africa shows one of the lowest COVID-19 fatality rates but very few data on the biochemical markers of COVID-19 in patients and the factors associated with disease severity are available for the continent. In Gabon, the COVID-19 fatality rate is only 0.63% but almost no data on biomarkers in COVID-19 patients have been published. Both the number of COVID-19 cases and the mortality rate reported in Africa in general, and in Gabon in particular, are lower than in non-African countries. As such, understanding the factors associated with disease severity in Gabonese patients is a crucial step to better understand the disease in the African context and prepare for future COVID-19 waves and other epidemics of emerging diseases. Here, we compared biochemical and hematological markers among 753 Gabonese COVID-19 patients with asymptomatic (184/753), mild/moderate (420/753), and severe/critical (149/753) forms of the disease using an Analysis of Variance (ANOVA) or a Kruskal-Wallis (KW) test. We modeled these parameters together with comorbidities, age, and sex to predict factors associated with disease severity by using a "binomial generalized linear model" utilizing the "package" stats of R software version 4.0.2. Our results showed that almost all the biochemical and hematological parameters (except creatinine, phosphorus, D-dimers, platelets, and monocytes) varied according to disease severity. However, age and the dysfunction of organs like the kidney, liver, and lung together with the decrease of electrolytes (chloride, potassium, and sodium) are the best predictors of disease severity in Gabonese patients.

Predictive analysis of the value of information flow on the shop floor of developing countries using artificial neural network based deep learning.

To facilitate the continuous improvement of performance and the management of information flow (MIF) for production and manufacturing purposes on the shop floor of developing countries, there is a need to characterize information flow that will be shared during the process. MIF provides a key performance shop floor metric called the value of information flow (VIF). Previous methods have been used to analyze VIF in developed countries. However, these methods are sometimes limited when applied to developing countries where the shop floor is disorganized. It then renders the MIF with the imported software inefficient because of the gap between the user environments. Taking Cameroon as a case study, this study proposes a new method of modeling and analyzing the information flow and its value based on the characteristics of information flow (CIF) for developing countries. In addition, a predictive analysis of the VIF based on CIF using an artificial neural network (ANN) on one hand and optimized ANN with particle swarm optimizer (PSO) and genetic algorithms (GA) on the other is performed. The ANN model of regression developed has the following performance: coefficient of determination: 0.99 and mean squared error (MSE): 0.00043. For the PSO-ANN, the MSE decreased to 0.00011, and this model result was similar to that of the deep learning model used for regression. The GA-ANN model results were not as satisfactory as those of the PSO-ANN model. A predictive system to analyze VIF is proposed for managers of companies in developing countries.

Demographic and Clinical Characteristics Associated With Severity, Clinical Outcomes, and Mortality of COVID-19 Infection in Gabon.

Importance: Since the emergence of COVID-19 in central China, sub-Saharan African countries, with the exception of South Africa, have been relatively spared during the COVID-19 pandemic. Consequently, few descriptive studies from this region are available. Objective: To describe the clinical characteristics and outcomes of patients with COVID-19 infection in Gabon, from March to June 2020. Design, Setting, and Participants: A single-center, cross-sectional study of 837 patients with COVID-19 was conducted from March to June 2020 in the Armed Forces Hospital in Libreville, Gabon. Main Outcomes and Measures: Demographic and clinical characteristics and imaging findings of hospitalized patients with COVID-19. Results: Of the 837 patients enrolled, 572 (68.3%) were men, and 264 (31.5%) were women (male to female ratio, 2:1); the median (interquartile range [IQR]) age was 35 (30-45) years (mean [SD] age, 38.0 [12.2] years. The mortality rate associated with COVID-19 was low (1.4%). Of these 837 patients, 524 (62.6%) were categorized as having no symptoms, 282 (33.7%) as having mild symptoms, and 31 (3.7%) as having severe symptoms. Patients with severe symptoms were older (mean [SD] age, 46.1 [14.7] years) than patients with mild symptoms (mean [SD] age, 41.3 [12.5] years) and those with no symptoms (mean [SD] age, 35.7 [11.3] years) (Kruskal-Wallis χ22 = 53.5; P < .001). History of diabetes was the principal risk factor associated with both severe symptoms in 5 of 31 patients (16.1%) and mild symptoms in 11 of 282 (3.9%) compared with no symptoms in 5 of 524 (0.9%) (Pearson χ22 = 30.9; P < .001). Patients with severe symptoms and a fatal outcome were older (mean [SD] age, 53.4 [15.1] years) than survivors (mean [SD] age, 41.5 [12.9] years) (t20.83 = 2.2; P = .03). Conclusions and Relevance: In this single-center, cross-sectional study in Libreville, Gabon, the mortality rate associated with COVID-19 infection from March to June 2020 was low, and patients who died of COVID-19 infection were younger on average than reported elsewhere, possibly reflecting a smaller elderly population in Gabon.

Toward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft: Improving Risk Prediction With Intraoperative Events Using Gradient Boosting.

BACKGROUND: Intraoperative data may improve models predicting postoperative events. We evaluated the effect of incorporating intraoperative variables to the existing preoperative model on the predictive performance of the model for coronary artery bypass graft. METHODS: We analyzed 378 572 isolated coronary artery bypass graft cases performed across 1083 centers, using the national Society of Thoracic Surgeons Adult Cardiac Surgery Database between 2014 and 2016. Outcomes were operative mortality, 5 postoperative complications, and composite representation of all events. We fitted models by logistic regression or extreme gradient boosting (XGBoost). For each modeling approach, we used preoperative only, intraoperative only, or pre+intraoperative variables. We developed 84 models with unique combinations of the 3 variable sets, 2 variable selection methods, 2 modeling approaches, and 7 outcomes. Each model was tested in 20 iterations of 70:30 stratified random splitting into development/testing samples. Model performances were evaluated on the testing dataset using the C statistic, area under the precision-recall curve, and calibration metrics, including the Brier score. RESULTS: The mean patient age was 65.3 years, and 24.7% were women. Operative mortality, excluding intraoperative death, occurred in 1.9%. In all outcomes, models that considered pre+intraoperative variables demonstrated significantly improved Brier score and area under the precision-recall curve compared with models considering pre or intraoperative variables alone. XGBoost without external variable selection had the best C statistics, Brier score, and area under the precision-recall curve values in 4 of the 7 outcomes (mortality, renal failure, prolonged ventilation, and composite) compared with logistic regression models with or without variable selection. Based on the calibration plots, risk restratification for mortality showed that the logistic regression model underestimated the risk in 11 114 patients (9.8%) and overestimated in 12 005 patients (10.6%). In contrast, the XGBoost model underestimated the risk in 7218 patients (6.4%) and overestimated in 0 patients (0%). CONCLUSIONS: In isolated coronary artery bypass graft, adding intraoperative variables to preoperative variables resulted in improved predictions of all 7 outcomes. Risk models based on XGBoost may provide a better prediction of adverse events to guide clinical care.

Data on the estimation of thermomechanical damage for fired clay bricks.

Fired bricks are on high demand in building constructions because of their cheapness, appearance, robustness, isolation achievement and sustainability. To make fired bricks, Constructions and eco-friendly sector used clay materials. However, the major challenge in their utilization is their thermal and mechanical behavior after exposure. Problems occur mainly when permanently subjected to increased temperature which severely influence its durability, and in this case an overall failure mode calculation is essential. In this work a simple approach based on the Unified Strength Theory (UST) criterion was used to estimate the thermomechanical damage. Results of thermomechanical damage values are shown.

A coupled thermo-mechanical damage model for fired clay bricks based on the unified strength theory.

On the rise request for long-lasting materials, clay materials are in between the well-nigh minerals exploited by production and ecological fields in the making of fired bricks. Clay incessantly expounded to high temperature reacts differently at ambient temperature which critically touches its longevity. In present study, a coupled thermo-mechanical damage model of clay is established. In this model, the Unified Strength Theory (UST) criterion is used as the failure criterion based on the Weibull distribution and the continuous damage theory. The proposed model is validated by uniaxial compression experiment of high-temperature clay. The variation of the two distribution factors (m and W0) in the combined TM damage relationship with temperature is analysed. The results show that the damage evolvement speed of the clay shows a curving form getting closed to one as the temperature rises, indicating that the temperature can delay the development of cumulative damage. The damage fundamental modelling discussed is in accord with the testings curves at the various phases of yielding and pre-apex force. This study leads to an enhanced understanding of high temperature clay mechanics and affords the fundament to heighten clay bricks resourcefulness lastingness.

Temporal relationship of computed and structured diagnoses in electronic health record data.

BACKGROUND: The electronic health record (EHR) holds the prospect of providing more complete and timely access to clinical information for biomedical research, quality assessments, and quality improvement compared to other data sources, such as administrative claims. In this study, we sought to assess the completeness and timeliness of structured diagnoses in the EHR compared to computed diagnoses for hypertension (HTN), hyperlipidemia (HLD), and diabetes mellitus (DM). METHODS: We determined the amount of time for a structured diagnosis to be recorded in the EHR from when an equivalent diagnosis could be computed from other structured data elements, such as vital signs and laboratory results. We used EHR data for encounters from January 1, 2012 through February 10, 2019 from an academic health system. Diagnoses for HTN, HLD, and DM were computed for patients with at least two observations above threshold separated by at least 30 days, where the thresholds were outpatient blood pressure of ≥ 140/90 mmHg, any low-density lipoprotein ≥ 130 mg/dl, or any hemoglobin A1c ≥ 6.5%, respectively. The primary measure was the length of time between the computed diagnosis and the time at which a structured diagnosis could be identified within the EHR history or problem list. RESULTS: We found that 39.8% of those with HTN, 21.6% with HLD, and 5.2% with DM did not receive a corresponding structured diagnosis recorded in the EHR. For those who received a structured diagnosis, a mean of 389, 198, and 166 days elapsed before the patient had the corresponding diagnosis of HTN, HLD, or DM, respectively, recorded in the EHR. CONCLUSIONS: We found a marked temporal delay between when a diagnosis can be computed or inferred and when an equivalent structured diagnosis is recorded within the EHR. These findings demonstrate the continued need for additional study of the EHR to avoid bias when using observational data and reinforce the need for computational approaches to identify clinical phenotypes.

Driving Safety Among Surgical Residents in the Era of Duty Hour Restrictions.

OBJECTIVE: Fatigued driving is a known contributor to adverse motor vehicle events (AMVEs), defined as crashes and near misses. Surgical trainees work long and irregular hours; the safety of work-related driving since the introduction of work hour regulations has not yet been studied in this population. We aimed to assess the impact of fatigue on driving safety and explore perceptions of a funded rideshare program. DESIGN: An electronic survey was delivered and inquired in retrospective fashion about fatigue and sleepiness while driving, occurrences of AMVEs, and projected use of a funded rideshare program as a potential solution to unsafe driving. Chi-square testing determined categorical differences between response choices. SETTING: Yale University School of Medicine, Department of Surgery, New Haven, CT-a general surgery program with 4 urban clinical sites positioned along a roughly twenty mile stretch of interstate highway in Southeastern Connecticut. PARTICIPANTS: General Surgery residents at the Yale University School of Medicine. RESULTS: Of 58 respondents (81% response rate), 97% reported that fatigue compromised their safety while driving to or from work. Eighty-three percent reported falling nearly or completely asleep, and 22% reported AMVEs during work-related driving. Junior residents were more likely than Seniors to drive fatigued on a daily-to-weekly basis (69% vs 47%, p = 0.02) and twice as likely to fall asleep on a weekly-to-monthly basis (67% vs 33%, p = 0.02). Despite this, only 7% of residents had ever hired a ride service when fatigued, though 88%, would use a free rideshare service if provided. CONCLUSIONS: Work-related fatigue impairs the driving safety of nearly all residents, contributing to frequent AMVEs. Currently, few residents hire rideshare services. Eliminating the cost barrier by funding a rideshare and encouraging its routine use may protect surgical trainees and other drivers.