DNA hypomethylation leads to cGAS-induced autoinflammation in the epidermis.

DNA methylation is a fundamental epigenetic modification, important across biological processes. The maintenance methyltransferase DNMT1 is essential for lineage differentiation during development, but its functions in tissue homeostasis are incompletely understood. We show that epidermis-specific DNMT1 deletion severely disrupts epidermal structure and homeostasis, initiating a massive innate immune response and infiltration of immune cells. Mechanistically, DNA hypomethylation in keratinocytes triggered transposon derepression, mitotic defects, and formation of micronuclei. DNA release into the cytosol of DNMT1-deficient keratinocytes activated signaling through cGAS and STING, thus triggering inflammation. Our findings show that disruption of a key epigenetic mark directly impacts immune and tissue homeostasis, and potentially impacts our understanding of autoinflammatory diseases and cancer immunotherapy.

Taking High-Fidelity Simulation to the Next Level: Nursing in Nontraditional Environments.

ABSTRACT: Nurse educators must prepare nursing students to be competent first responders and providers in nontraditional situations. We developed a course that provides in-depth experiential instruction in disaster nursing, remote/austere nursing, and global health. The Nursing in Nontraditional Environments course provides nursing students with the knowledge and skills to provide quality care to patients in environments outside traditional hospitals and clinics. The course merges survival skills with austere care using evidence-based practice derived from the US Military and the Wilderness Medical Society.

Minimally Invasive Compared to Open Colorectal Cancer Resection for Older Adults: A Population-based Analysis of Long-term Functional Outcomes.

OBJECTIVE: We sought to compare long-term healthcare dependency and time-at-home between older adults undergoing minimally invasive surgery (MIS) for colorectal cancer (CRC) and those undergoing open resection. BACKGROUND: Although the benefits of MIS for CRC resection are established, data specific to older adults are lacking. Long-term functional outcomes, central to decision-making in the care for older adults, are unknown. METHODS: We performed a population-based analysis of patients ≥70years old undergoing CRC resection between 2007 to 2017 using administrative datasets. Outcomes were receipt of homecare and "high" time-at-home, which we defined as years with ≤14 institution-days, in the 5years after surgery. Homecare was analyzed using time-to-event analyses as a recurrent dichotomous outcome with Andersen-Gill multivariable models. High timeat-home was assessed using Cox multivariable models. RESULTS: Of 16,479 included patients with median follow-up of 4.3 (interquartile range 2.1-7.1) years, 7822 had MIS (47.5%). The MIS group had lower homecare use than the open group with 22.3% versus 31.6% at 6 months and 14.8% versus 19.4% at 1 year [hazard ratio 0.87,95% confidence interval (CI) 0.83-0.92]. The MIS group had higher probability ofhigh time-at-home than open surgery with 54.9% (95% CI 53.6%-56.1%) versus 41.2% (95% CI 40.1%-42.3%) at 5years (hazard ratio 0.71, 95% CI 0.68-0.75). CONCLUSIONS: Compared to open surgery, MIS for CRC resection was associated with lower homecare needs and higher probability of high time-at-home in the 5 years after surgery, indicating reduced long-term functional dependence. These are important patient-centered endpoints reflecting the overall long-term treatment burden to be taken into consideration in decision-making.

Patient-Reported Symptom Burden After Cancer Surgery in Older Adults: A Population-Level Analysis.

BACKGROUND: Older adults have unique needs for supportive care after surgery. We examined symptom trajectories and factors associated with high symptom burden after cancer surgery in older adults. PATIENTS AND METHODS: We conducted a population-level study of patients ≥ 70 years old undergoing cancer surgery (2007-2018) using prospectively collected Edmonton Symptom Assessment System (ESAS) scores. The monthly prevalence of moderate to severe symptoms (ESAS ≥ 4) for anxiety, depression, drowsiness, lack of appetite, nausea, pain, shortness of breath, tiredness, and poor wellbeing was computed over 12 months after surgery. RESULTS: Among 48,748 patients, 234,420 ESAS scores were recorded over 12 months after surgery. Moderate to severe tiredness (57.8%), poor wellbeing (51.9%), and lack of appetite (39.3%) were most common. The proportion of patients with moderate to severe symptoms was stable over the 1 month prior to and 12 months after surgery (< 5% variation for each symptom). There was no clinically significant change (< 5%) in symptom trajectory with the initiation of adjuvant therapy. CONCLUSIONS: Patient-reported symptom burden was stable for up to 1 year after cancer surgery among older adults. Neither surgery nor adjuvant therapy coincided with a worsening in symptom burden. However, the persistence of symptoms at 1 year may suggest gaps in supportive care for older adults. This information on symptom trajectory and predictors of high symptom burden is important to set appropriate expectations and improve patient counseling, recovery care pathways, and proactive symptom management for older adults after cancer surgery.

The impact of unexpected intensive care unit admission after cancer surgery on long-term symptom burden among older adults: a population-based longitudinal analysis.

BACKGROUND: Older adults are at high-risk for a post-operative intensive care unit (ICU) admission, yet little is known about the impact of these admissions on quality of life. The objective of this study was to evaluate the impact of an unexpected post-operative ICU admission on the burden of cancer symptoms among older adults who underwent high-intensity cancer surgery and survived to hospital discharge. METHODS: We performed a population-based cohort study of older adults (age ≥ 70) who underwent high-intensity cancer surgery and survived to hospital discharge in Ontario, Canada (2007-2017). Using the Edmonton Symptom Assessment System (ESAS), a standardized tool that quantifies patient-reported physical, mental, and emotional symptoms, we described the burden of cancer symptoms during the year after surgery. Total symptom scores ≥ 40 indicated a moderate-to-severe symptom burden. Modified log-Poisson analysis was used to estimate the impact of an unexpected post-operative ICU admission (admission not related to routine monitoring) on the likelihood of experiencing a moderate-to-severe symptom burden during the year after surgery, accounting for potential confounders. We then used multivariable generalized linear mixed models to model symptom trajectories among patients with two or more ESAS assessments. A 10-point difference in total symptom scores was considered clinically significant. RESULTS: Among 16,560 patients (mean age 76.5 years; 43.4% female), 1,503 (9.1%) had an unexpected ICU admission. After accounting for baseline characteristics, patients with an unexcepted ICU admission were more likely to experience a moderate-to-severe symptom burden relative to those without an unexpected ICU admission (RR 1.64, 95% CI 1.31-2.05). Specifically, among patients with an unexcepted ICU admission the average probability of experiencing moderate-to-severe symptoms ranged from 6.9% (95 CI 5.8-8.3%) during the first month after surgery to 3.2% (95% CI 0.9-11.7%) at the end of the year. Among the 11,229 (67.8%) patients with multiple ESAS assessments, adjusted differences in total scores between patients with and without an unexpected ICU admission ranged from 2.0 to 5.7-points throughout the year (p < 0.001). CONCLUSION: While unexpected ICU admissions are associated with a small increase in the likelihood of experiencing a moderate-to-severe symptom burden, most patients do not experience a high overall symptom burden during the year after surgery. These findings support the role of aggressive therapy among older adults after major surgery.

Injury outcomes across Canadian trauma systems: a historical cohort study.

PURPOSE: Most North American trauma systems have designated trauma centres (TCs) including level I (ultraspecialized high-volume metropolitan centres), level II (specialized medium-volume urban centres), and/or level III (semirural or rural centres). Trauma system configuration varies across provinces and it is unclear how these differences influence patient distributions and outcomes. We aimed to compare patient case mix, case volumes, and risk-adjusted outcomes of adults with major trauma admitted to designated level I, II, and III TCs across Canadian trauma systems. METHODS: In a national historical cohort study, we extracted data from Canadian provincial trauma registries on major trauma patients treated between 2013 and 2018 in all designated level I, II, or III TCs in British Columbia, Alberta, Quebec, and Nova Scotia; level I and II TCs in New Brunswick; and four TCs in Ontario. We used multilevel generalized linear models to compare mortality and intensive care unit (ICU) admission and competitive risk models for hospital and ICU length of stay (LOS). Ontario could not be included in outcome comparisons because there were no population-based data from this province. RESULTS: The study sample comprised 50,959 patients. Patient distributions in level I and II TCs were similar across provinces but we observed significant differences in case mix and volumes for level III TCs. There was low variation in risk-adjusted mortality and LOS across provinces and TCs but interprovincial and intercentre variation in risk-adjusted ICU admission was high. CONCLUSIONS: Our results suggest that differences in the functional role of TCs according to their designation level across provinces leads to significant variations in the distribution of patients, case volumes, resource use, and clinical outcomes. These results highlight opportunities to improve Canadian trauma care and underline the need for standardized population-based injury data to support national quality improvement efforts.

RéSUMé: OBJECTIF: La plupart des systèmes de traumatologie nord-américains disposent de centres de traumatologie (CT) désignés, y compris de niveau I (centres métropolitains ultraspécialisés à volume élevé), de niveau II (centres urbains spécialisés à volume moyen) et/ou de niveau III (centres semi-ruraux ou ruraux). La configuration des systèmes de traumatologie varie d'une province à l'autre et nous ne savons pas comment ces différences influent sur la répartition de la patientèle et sur les issues. Notre objectif était de comparer le mélange de cas des patient·es, le volume de cas et les issues ajustées en fonction du risque des adultes ayant subi un traumatisme majeur admis·es dans des CT désignés de niveaux I, II et III dans l'ensemble des systèmes de traumatologie canadiens. MéTHODE: Dans une étude de cohorte historique nationale, nous avons extrait des données des registres provinciaux canadiens de traumatologie sur les patient·es ayant subi un traumatisme majeur traité·es entre 2013 et 2018 dans tous les CT désignés de niveau I, II ou III en Colombie-Britannique, en Alberta, au Québec et en Nouvelle-Écosse, les CT de niveau I et II au Nouveau-Brunswick, et dans quatre CT en Ontario. Nous avons utilisé des modèles linéaires généralisés à plusieurs niveaux pour comparer la mortalité, les admissions en unité de soins intensifs (USI) et les modèles de risque compétitif pour la durée du séjour à l'hôpital et à l'USI. L'Ontario n'a pas pu être inclus dans les comparaisons des devenirs parce qu'il n'y avait pas de données démographiques pour cette province. RéSULTATS: L'échantillon de l'étude comptait 50 959 patient·es. La répartition des patient·es dans les CT de niveaux I et II était similaire d'une province à l'autre, mais nous avons observé des différences significatives dans le mélange des cas et les volumes pour les CT de niveau III. Il y avait une faible variation de la mortalité ajustée en fonction du risque et des durées de séjour entre les provinces et les CT, mais la variation interprovinciale et intercentre des admissions à l'USI ajustées en fonction du risque était élevée. CONCLUSION: Nos résultats suggèrent que les différences dans le rôle fonctionnel des CT selon leur niveau de désignation d'une province à l'autre entraînent des variations importantes dans la répartition des patient·es, le nombre de cas, l'utilisation des ressources et les issues cliniques. Ces résultats mettent en évidence les possibilités d'amélioration des soins de traumatologie au Canada et soulignent la nécessité de disposer de données normalisées sur les blessures dans la population pour appuyer les efforts nationaux d'amélioration de la qualité.

Long-term Dependency Outcomes in Older Adults Following Hepato-Pancreato-Biliary Surgery for Cancer: A Population-based Analysis.

OBJECTIVE: To evaluate healthcare dependency following hepatopancreato-biliary cancer surgery in older adults (OA). SUMMARY BACKGROUND DATA: Functional outcomes are central to decisionmaking by OA, but long-term risks of dependency have not been described beyond 1 year in this population. METHODS: All patients over age 70 undergoing hepatectomy or pancreatec-tomy for cancer between 2007 and 2017 in Ontario were analyzed. Outcomes were 1) receipt of homecare and 2) time at home. Homecare was analyzed with cumulative incidence functions, and time at home with Kaplan-Meier and Cox multivariate models. RESULTS: A total of 902 and 1283 patients underwent hepatectomy and pancreatectomy, respectively. Homecare use was highest (72.3%) in postoperative month-1, decreasing to stabilize between year-1 (25.5%) and year-5 (18.3%). Repeated receipt of homecare was associated with female sex (HR 1.18, 95% CI 1.05-1.32), receipt of adjuvant therapy (HR 1.56, 1.37-1.78), and more recent year of surgery (HR 3.80, 3.05-4.72). The ratio of home nursing care versus personal support services reversed from 68%/26% in year-1, to 29/64% in year-5. High time at home (>350 days) at 1 and 5 years were 40.6% (95% CI 38.5%-42.6%) and 28.1% (25.9%-30.3%), respectively. The ratio of institution-days in acute care versus nursing homes went from 77%/14% in year-1 to 23%/70% in year-5. Low time at home was associated with duodenal (HR 1.45, 1.15-1.70) and pancreas cancer (HR 1.20, 1.02-1.42), and with rural residence (HR 1.24, 1.04-1.48). High time at home was associated with more recent year of surgery (HR 0.84, 0.76-0.93) and perioperative cancer therapy (HR 0.88, 0.78-0.99). Increasing age was neither associated with homecare receipt nor time at home. CONCLUSIONS: Following hepatopancreatobiliary cancer surgery, there is a high rate of long-term healthcare dependency for OA. There is an immediate high need for homecare that reaches a new baseline after 6 months, and the majority of OA will have at least 1 year with low time at home, most commonly the first year. These findings can aid in preoperative preparation and transitional care planning.

Association Between Frailty and Time Alive and At Home After Cancer Surgery Among Older Adults: A Population-Based Analysis.

BACKGROUND: Although frailty is known to impact short-term postoperative outcomes, its long-term impact is unknown. This study examined the association between frailty and remaining alive and at home after cancer surgery among older adults. METHODS: Adults aged ≥70 years undergoing cancer resection were included in this population-based retrospective cohort study using linked administrative datasets in Ontario, Canada. The probability of remaining alive and at home in the 5 years after cancer resection was evaluated using Kaplan-Meier methods. Extended Cox regression with time-varying effects examined the association between frailty and remaining alive and at home. RESULTS: Of 82,037 patients, 6,443 (7.9%) had preoperative frailty. With median follow-up of 47 months (interquartile range, 23-81 months), patients with frailty had a significantly lower probability of remaining alive and at home 5 years after cancer surgery compared with those without frailty (39.1% [95% CI, 37.8%-40.4%] vs 62.5% [95% CI, 62.1%-63.9%]). After adjusting for age, sex, rural living, material deprivation, immigration status, cancer type, surgical procedure intensity, year of surgery, and receipt of perioperative therapy, frailty remained associated with increased hazards of not remaining alive and at home. This increase was highest 31 to 90 days after surgery (hazard ratio [HR], 2.00 [95% CI, 1.78-2.24]) and remained significantly elevated beyond 1 year after surgery (HR, 1.56 [95% CI, 1.48-1.64]). This pattern was observed across cancer sites, including those requiring low-intensity surgery (breast and melanoma). CONCLUSIONS: Preoperative frailty was independently associated with a decreased probability of remaining alive and at home after cancer surgery among older adults. This relationship persisted over time for all cancer types beyond short-term mortality and the initial postoperative period. Frailty assessment may be useful for all candidates for cancer surgery, and these data can be used when counseling, selecting, and preparing patients for surgery.

Association Between Intoxication and Urgent Neurosurgical Procedures in Severe Traumatic Brain Injury: Results From the American College of Surgeons Trauma Quality Improvement Program.

BACKGROUND: The probability of undergoing surgery after severe traumatic brain injury (TBI) varies significantly across studies and centers. However, causes of this variability are poorly understood. We hypothesized that intoxication may impact the probability of receiving an urgent neurosurgical procedure among patients with severe TBI. METHODS: We performed a retrospective cohort study of adult patients admitted to a Level I or II trauma center in the United States or Canada with an isolated severe TBI (2012-2016). Data were derived from the Trauma Quality Improvement Program dataset. An urgent neurosurgical procedure was defined as a procedure that occurred within 24 hours of admission. Multivariable logistic regression was utilized to examine the independent effect of intoxication on a patient's likelihood of undergoing an urgent procedure, as well as the timing of the procedure. RESULTS: Of the 33,646 patients with an isolated severe TBI, 11,313 (33.6%) were intoxicated. An urgent neurosurgical procedure was performed in 8,255 (24.5%) cases. Overall, there was no difference in the probability of undergoing an urgent procedure between patients who were and were not intoxicated (OR 0.99; 95% CI 0.94-1.06). While intoxication status had no impact on the probability of surgery among patients with the most severe TBI (head AIS 5: OR 1.06 [95% CI 0.98-1.15]), intoxicated patients on the lower spectrum of injury had lower odds of undergoing an urgent procedure (AIS 3: OR 0.80 [95% CI 0.66-0.97]). Among patients who underwent an urgent procedure, intoxication had no impact on timing. CONCLUSION: Intoxication status was not associated with differences in the probability of undergoing an urgent neurosurgical procedure among all patients with a severe TBI. However, in patients with less severe TBI, intoxication status was associated with decreased likelihood of receiving an urgent intervention. This finding underscores the challenge in the management of intoxicated patients with TBI.

Innovative curriculum is needed to address residents' attitudes toward older adults: the case of geriatric trauma.

BACKGROUND: Medical trainees' negative perceptions towards older adult care have been widely reported, catalyzing targeted curricula in geriatric medicine. Little is known about surgical residents' attitudes toward and perceptions of the educational value of caring for injured older adults. This information is needed to ensure the surgical workforce is adequately trained to care for this growing patient population. In this study, we assessed surgical trainees' attitudes towards geriatric trauma care to inform a curriculum in geriatric trauma. METHODS: We surveyed North American general surgery trainees' beliefs and attitudes toward caring for older trauma patients, and the educational value they ascribed to learning about older trauma patient care. Descriptive statistics were used to report participant characteristics and responses. RESULTS: Three hundred general surgery trainees from 94 post-graduate programs responded. Respondents reported too much time co-ordinating care (56%), managing non-operative patients (56%), and discharge planning (65%), all activities important to the care of older trauma patients. They recognized the importance of geriatric trauma care for their future careers (52%) but were least interested in reading about managing geriatric trauma patients (28%). When asked to rank clinical vignettes by educational value, respondents ranked the case of an older adult as least interesting (74%). As respondents progressed through their training, they reported less interest in geriatric trauma care. CONCLUSIONS: Our survey results demonstrate the generally negative attitudes and beliefs held by postgraduate surgical trainees towards the care of older adult trauma patients. Future work should focus on identifying specific changes to the postgraduate surgical curriculum which can effectively alter these attitudes and beliefs and improve the care for injured older adults.

Quality of Reporting on Guideline, Protocol, or Algorithm Implementation in Adult Trauma Centers: A Systematic Review.

OBJECTIVE: To appraise the quality of reporting on guideline, protocol, and algorithm implementations in adult trauma settings according to the Revised Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0). BACKGROUND: At present we do not know if published reports of guideline implementations in trauma settings are of sufficient quality to facilitate replication by other centers wishing to implement the same or similar guidelines. METHODS: A systematic review of the literature was conducted. Articles were identified through electronic databases and hand searching relevant trauma journals. Studies meeting inclusion criteria focused on a guideline, protocol, or algorithm that targeted adult trauma patients ≥18 years and/or trauma patient care providers, and evaluated the effectiveness of guideline, protocol, or algorithm implementation in terms of change in clinical practice or patient outcomes. Each included study was assessed in duplicate for adherence to the 18-item SQUIRE 2.0 criteria. The primary endpoint was the proportion of studies meeting at least 80% (score ≥15) of SQUIRE 2.0. RESULTS: Of 7368 screened studies, 74 met inclusion criteria. Thirty-nine percent of studies scored ≥80% on SQUIRE 2.0. Criteria that were met most frequently were abstract (93%), problem description (93%), and specific aims (89%). The lowest scores appeared in the funding (28%), context (47%), and results (54%) criteria. No study indicated using SQUIRE 2.0 as a guideline to writing the report. CONCLUSIONS: Significant opportunity exists to improve the utility of guideline implementation reports in adult trauma settings, particularly in the domains of study context and the implications of context for study outcomes.

Immediate and Long-Term Health Care Support Needs of Older Adults Undergoing Cancer Surgery: A Population-Based Analysis of Postoperative Homecare Utilization.

BACKGROUND: Functional outcomes are central to decision-making by older adults (OA), but long-term risks after cancer surgery have not been described beyond 1 year for this population. This study aimed to evaluate long-term health care support needs by examining homecare use after cancer surgery for OA. METHODS: This population-based study investigated adults 70 years of age or older with a new cancer diagnosis between 2007 and 2017 who underwent resection. The outcomes were receipt and intensity of homecare from postoperative discharge to 5 years after surgery. Time-to-event analysis with competing events was used. RESULTS: Among 82,037 patients, homecare use was highest (43.7% of eligible patients) in postoperative month 1. The need for homecare subsequently decreased to stabilize between year 1 (13.9%) and year 5 (12.6%). Of the patients not receiving preoperative homecare, 10.9% became long-term users at year 5 after surgery. Advancing age, female sex, frailty, high-intensity surgery, more recent period of surgery, and receipt of preoperative homecare were associated with increased hazards of postoperative homecare. Intensity of homecare went from 10.3 to 10.1 days per patient-month between month 1 and year 1, reaching 12 days per patient-month at year 5. The type of homecare services changed from predominantly nursing care in year 1 (51.9%) to increasing personal support services from year 2 (69.6%) to year 5 (77.5%). CONCLUSION: Receipt of homecare increased long-term after cancer surgery for OA, peaking in the first 6 months and plateauing thereafter at a new baseline. One tenth of the patients without preoperative homecare became long-term homecare users postoperatively, indicating changing health care needs focused on personal support services from year 2 to year 5.

A Population-Based Analysis of Long-Term Outcomes Among Older Adults Requiring Unexpected Intensive Care Unit Admission After Cancer Surgery.

BACKGROUND: High-intensity cancer surgery is increasingly common among older adults. However, these patients are at high-risk for unexpected intensive care unit (ICU) admissions after surgery. How these admissions impact older adults' long-term outcomes is unknown. METHODS: We performed a population-based, cohort study of older adults (age ≥ 70 years) who underwent high-intensity cancer surgery from 2007 to 2017. Analyses were performed to examine time alive and at home following surgery, defined as time from surgery to nursing home admission or death. Patients were followed for up to 5 years. Extended Cox proportional hazards models examined the independent association between unexpected ICU admission (ICU admissions excluding routine postoperative monitoring) and remaining alive and at home. Subgroup analysis stratified patients by duration of mechanical ventilation (MV). RESULTS: Of 47,367 identified older adults, 7372 (15.6%) had an unexpected ICU admission. Patients with an unexpected ICU admission had a significantly lower probability of being alive and at home at 5 years (26.2%; 95% confidence interval [CI] 25.1-27.2%) compared with those without an unexpected admission (56.8%; 95% CI 56.3-57.4%). After adjusting for baseline characteristics, unexpected ICU admission remained associated with less time alive and at home. The elevated risk of death or nursing home admission persisted for 5 years after surgery (years 2-5: hazard ratio [HR] 1.58, 95% CI 1.50-1.66). Duration of MV was inversely associated with time alive and at home. CONCLUSIONS: Older adults with an unexpected ICU admission after high-intensity cancer surgery are at increased risk for death or admission to a nursing home for at least 5 years.

Causes of Delay During Interfacility Transports of Injured Patients Transported by Air Ambulance.

Background: Many severely injured patients are initially brought to a non-trauma centers for initial assessment and stabilization. Air ambulance services are commonly used to expedite interfacility transport of injured patients to trauma centers. Little is known of the types of delays experienced during interfacility transports. The purpose of this study was to identify specific causes of modifiable delays and estimate the attributable time associated with each of these delays.Methods: This was a retrospective cohort study of injured patients undergoing interfacility transfer to a trauma center who were transported by a provincial air ambulance service between January 1, 2014 and December 31, 2016. Electronic patient care records were screened and then manually reviewed to identify causes of delay during the interfacility transport process. The attributable time for each of these delays was also estimated.Results: There were 932 injured patients emergently transported by air ambulance from a community hospital to a trauma center over the 3-year study period from which 458 unique causes of delay that were identified. The most frequent cause of delays to sending facility were refueling (38%), waiting for land emergency medical services escort (25%) and weather (12%). The most common in-hospital delays included waiting for documentation (32%), delay to intubate (15%), medically unstable patient (13%) and waiting for diagnostic imaging (12%). The most frequent delays to receiving/handover included waiting for land EMS escort (31%), trauma team not assembled (24%) and weather (17%). In-hospital delays with the longest average length of delay included chest tube insertion (53 minutes), intubation (49 minutes) and delays for diagnostic imaging (46 minutes).Conclusions: In conclusion, we identified numerous modifiable causes of delay during interfacility transport. Efforts to reduce these delays can be made at both the air ambulance and hospital levels.

Patient, Paramedic and Institutional Factors Associated with Delays in Interfacility Transport of Injured Patients by Air Ambulance.

Background: Air ambulance services are commonly used to expedite interfacility transport of injured patients to trauma centers. There is a lack of evidence surrounding risk factors for delays in interfacility transport of these patients. The purpose of this study was to examine patient, paramedic, and institutional-related characteristics for delay and identify specific causes of delays in interfacility transfers by air ambulance. Methods: This was a retrospective cohort study of injured patients undergoing interfacility transfer to a trauma center who were transported by air ambulance. Quantile regression was used to evaluate the impact of patient, paramedic and institutional characteristics on various time intervals of the interfacility transport process. Results: There are three key findings in our study. First, the use of rotor-wing aircraft and hospital-based helipads had substantially lower transport times. Second, transports from academic centers take longer compared to sending facilities with fewer resources. Third, interfacility transport times are heavily skewed and delays disproportionately affect longer patient transports. Conclusions: Ventilator dependence, paramedic level of care, classification of sending facility and helipad availability are associated with delays to interfacility transport of injured patients. Efforts can be made at both the air ambulance and institutional levels to ensure timely and efficient transports.

Risk Factors for Non-optimal Resource Utilization for Emergent Interfacility Transfers by Air Ambulance in Ontario.

Background: The use of air ambulance to facilitate interfacility transfer has been associated with improved mortality; however, air ambulance is a limited resource and sometimes the optimal resource to transport a patient is unavailable. When a non-optimal resource is used there is an inherent delay and critically unwell patients may deteriorate as a result. This study aimed to identify risk factors associated with non-optimal resource utilization for adult patients undergoing emergent interfacility transport by air ambulance in Ontario, Canada. A secondary objective was to determine if non-optimal resource utilization was associated with deterioration in clinical status by measuring a delta rapid emergency medicine score (REMS). Methods: This was a retrospective cohort study of all emergent, adult interfacility transfers transported by air ambulance over a 5-year period in Ontario, Canada. Determination of optimal resource use was based on distances and historic time data for all sending-receiving facility pairs. A logistic regression model was used to explore patient, provider and institutional risk factors for non-optimal resource use. To explore the secondary objective a linear regression model was used to explore impact of non-optimal resource use on deltaREMS. Results: There were a total of 9,687 patients included in the study cohort, with 4,984 having an optimal resource use and 4,703 having non-optimal resource. The median delay in interfacility transfer caused by a non-optimal transfer strategy was 35.7 minutes. Patients who required mechanical ventilation (OR 1.13, p = 0.031) and or were transferred out of nursing stations had higher odds of non-optimal resource use (OR 2.84, p = 0.019). Paramedic level of care of advanced (OR 0.37, p = < 0.001) and critical care (OR 0.28, p = < 0.001) as well as spring season (OR 0.75, p = < 0.001) had lower odds of non-optimal resource utilization. Optimal resource utilization did not significantly affect delta REMS (beta coefficient 0.002, p = 0.64). Conclusions: Patients who required mechanical ventilation and were transferred out from a nursing station had higher odds of non-optimal resource utilization while patients that required advanced or critical care level of care and spring season had lower odds of non-optimal resource use. Additionally, non-optimal resource use for air ambulance interfacility transfers did not result in patient deterioration as measured by a delta REMS score.

Blunt chest trauma: classification and management.

Blunt chest wall injuries are a significant cause of mortality and morbidity in trauma patients. Accurate identification and description of chest wall injuries by the radiologist can aid in guiding proper patient management. The American Association for the Surgery of Trauma (AAST) has devised a classification system based on severity. This article describes the features of each injury grade according to the AAST injury scale and discusses the implications for management. Additionally, common mechanisms of blunt chest trauma and multimodal imaging techniques are discussed.

The Rapid Emergency Medicine Score: A Critical Appraisal of Its Measurement Properties and Applicability to the Air Retrieval Environment.

OBJECTIVE: The Rapid Emergency Medicine Score (REMS) was designed to predict in-hospital mortality using variables that are available in the prehospital setting. The objective of this article is to critically appraise the development and summarize the evidence regarding the measurement properties (sensitivity, reliability and validity) of the REMS. METHODS: A literature search was performed identifying all studies describing the REMS. The original validation study was critically appraised for its development. All other studies that reported any measurement properties of the REMS were also appraised for evidence of calibration, reliability, and validity. RESULTS: In total, 26 studies reported on the measurement properties of the REMS. Overall, the REMS was developed with robust methodology and has good sensibility with adequate content and face validity. It is easy to understand and feasible to be calculated within minutes of patient assessment. The REMS has the necessary measurement properties to be both a predictive and evaluative clinical index to measure prehospital severity of illness; however, no studies have adequately addressed the intra or inter-rater reliability of the score. CONCLUSIONS: There is evidence to support the use of the REMS as a predictive or evaluative instrument. In most studies, it performed as well or better than other illness severity scores in predicting mortality.

The impact of advanced age on short-term outcomes following gastric cancer resection: an ACS-NSQIP analysis.

BACKGROUND: Evidence on short-term outcomes for GC resection in elderly patients is limited by small samples from single-institutions. This study sought to examine the association between advanced age and short-term outcomes of gastrectomy for gastric cancer (GC). METHODS: Using ACS-NSQIP data, patients undergoing gastrectomy for GC (2007-2013) were identified. Primary outcome was 30-day major morbidity. Outcomes were compared across age categories (<65, 65-70, 71-75, 76-80, >80 years old). Univariable and multivariable regression was used to estimate the morbidity risk associated with age. RESULTS: Of 3637 patients, 60.6% were ≥65 years old. Major morbidity increased with age, from 16.3% (<65 years old) to 21.5% (76-80 years old), and 24.1% (>80 years old) (p < 0.001), driven by higher respiratory and infectious events. Perioperative 30-day mortality increased from 1.2% (<65years old) to 6.5% (>80 years old) (p < 0.0001). After adjustments, age was independently associated with morbidity for 76-80 years of age (RR 1.31, 95% CI, 1.08-1.60) and >80 years old (RR 1.49, 95% CI, 1.23-1.81). Predicted morbidity increased by 18.6% in those 75-80 years old and 27.5% in those >80 years old (compared to <65 years old) for total gastrectomy, and by 11.6% and 17.2% for subtotal gastrectomy, for worst case scenario. Morbidity increased by 5.1% in those 75-80 years old and 7.6% in those >80 years old for total gastrectomy, and by 3.1% and 4.7% for subtotal gastrectomy, for best case scenario. CONCLUSIONS: Advanced age, defined as more than 75 years, was independently associated with increased morbidity after GC resection. The magnitude of this impact is further modulated by clinical scenarios. Increased risk in elderly GC patient should be recognized and considered in indications for resection.