Airway management in patients with suspected or confirmed cervical spine injury: Guidelines from the Difficult Airway Society (DAS), Association of Anaesthetists (AoA), British Society of Orthopaedic Anaesthetists (BSOA), Intensive Care Society (ICS), Neuro Anaesthesia and Critical Care Society (NACCS), Faculty of Prehospital Care and Royal College of Emergency Medicine (RCEM).

BACKGROUND: There are concerns that airway management in patients with suspected or confirmed cervical spine injury may exacerbate an existing neurological deficit, cause a new spinal cord injury or be hazardous due to precautions to avoid neurological injury. However, there are no evidence-based guidelines for practicing clinicians to support safe and effective airway management in this setting. METHODS: An expert multidisciplinary, multi-society working party conducted a systematic review of contemporary literature (January 2012-June 2022), followed by a three-round Delphi process to produce guidelines to improve airway management for patients with suspected or confirmed cervical spine injury. RESULTS: We included 67 articles in the systematic review, and successfully agreed 23 recommendations. Evidence supporting recommendations was generally modest, and only one moderate and two strong recommendations were made. Overall, recommendations highlight key principles and techniques for pre-oxygenation and facemask ventilation; supraglottic airway device use; tracheal intubation; adjuncts during tracheal intubation; cricoid force and external laryngeal manipulation; emergency front-of-neck airway access; awake tracheal intubation; and cervical spine immobilisation. We also signpost to recommendations on pre-hospital care, military settings and principles in human factors. CONCLUSIONS: It is hoped that the pragmatic approach to airway management made within these guidelines will improve the safety and efficacy of airway management in adult patients with suspected or confirmed cervical spine injury.

Stigmatizing Language, Patient Demographics, and Errors in the Diagnostic Process.

This cohort study assesses the association between stigmatizing language, demographic characteristics, and errors in the diagnostic process among hospitalized adults.

Protective antibody threshold of RTS,S/AS01 malaria vaccine correlates antigen and adjuvant dose in mouse model.

Mouse models are useful for the early down-selection of malaria vaccine candidates. The Walter Reed Army Institute of Research has optimized a transgenic Plasmodium berghei sporozoite challenge model to compare the efficacy of Plasmodium falciparum circumsporozoite protein (CSP) vaccines. GSK's RTS,S vaccine formulated in the adjuvant AS01 can protect malaria-naïve individuals against malaria. We report that the RTS,S/AS01 vaccine induces high level sterile protection in our mouse model. Down titration of the antigen at a constant AS01 dose revealed a potent antigen dose-sparing effect and the superiority of RTS,S/AS01 over a soluble CSP antigen. RTS,S-mediated protective immunity was associated with a threshold of major repeat antibody titer. Combined titration of the antigen and adjuvant showed that reducing the adjuvant could improve antibody boosting post-3rd vaccination and reduce the threshold antibody concentration required for protection. Mouse models can provide a pathway for preclinical assessment of strategies to improve CSP vaccines against malaria.

Contributors to Early Mortality in African Americans, the Jackson Heart Study.

Introduction: In recent years, premature "deaths of despair" (ie, due to alcohol, drug use, and suicide) among middle-aged White Americans have received increased attention in the popular press, yet there has been less discussion on what explains premature deaths among young African Americans. In this study, we examined factors related to deaths of despair (alcohol use, drug use, smoking) and contextual factors (perceived discrimination, socioeconomic status, neighborhood conditions) as predictors of premature deaths before the age of 65 years among African Americans. Methods: The Jackson Heart Study (JHS) is a longitudinal cohort study of African Americans in the Jackson, Mississippi, metropolitan statistical area. We included participants younger than 65 years at baseline (n=4000). Participant enrollment began in 2000 and data for these analyses were collected through 2019. To examine predictors of mortality, we calculated multivariable adjusted hazard ratios (HRs; 95% CI), using Cox proportional hazard models adjusted for age, sex, ideal cardiovascular health metrics, drug use, alcohol intake, functional status, cancer, chronic kidney disease, asthma, waist circumference, depression, income, education, health insurance status, perceived neighborhood safety, and exposure to lifetime discrimination. Results: There were 230 deaths in our cohort, which spanned from 2001-2019. After adjusting for all covariates, males (HR, 1.50; 95% CI, 1.11-2.03), participants who used drugs (HR, 1.53; 95% CI, 1.13-2.08), had a heavy alcohol drinking episode (HR, 1.71; 95% CI, 1.22-2.41), reported 0-1 ideal cardiovascular health metrics (HR, 1.78; 95% CI, 1.06-3.02), had cancer (HR, 2.38; 95% CI, 1.41-4.01), had poor functional status (HR, 1.68; 95% CI, 1.19-2.37), or with annual family income less than $25,000 (HR, 1.63; 95% CI, 1.02-2.62) were more likely to die before 65 years of age. Conclusions: In our large cohort of African American men and women, clinical predictors of premature death included poor cardiovascular health and cancer, and social predictors included low income, drug use, heavy alcohol use, and being a current smoker. Clinical and social interventions are warranted to prevent premature mortality in African Americans.

The Impact of Racial Bias in Patient Care and Medical Education: Let's Focus on the Educator.

Introduction: Racial bias in health care is well documented. Research shows the presence of racial bias among health care providers. There is a paucity of workshops focused on racial bias effects in health professions educators. Method: Two to three workshops were delivered to a diverse group of clinical educators from three programs at a major academic institution. Each workshop included a brief multimedia presentation followed by a facilitated group discussion. Participants completed the online Implicit Association Test (IAT), a baseline demographic questionnaire, and a brief post-then-pre questionnaire. Results: Twenty-four faculty participated in the study (six physicians, eight nurse practitioners, 10 physician assistants). Nineteen (90%) were women, 18 (86%) were White, nine (43%) had more than 10 years of experience as educators, and seven (35%) had previously participated in a biases program. Seventeen completed the IAT. Sixteen educators agreed or strongly agreed that bias has a significant impact on patients' outcomes at the end of the workshop compared to 17 before the workshop. Seventeen educators agreed or strongly agreed that recognizing their own racial bias would positively alter their teaching practice after the workshop compared to 15 before the workshop. Discussion: This series of workshops was created to fill a gap regarding the impact of racial bias on patient outcomes, health disparities, and health professions education. The impact of racial bias in health professions education and the long-term impact of awareness and knowledge of racial bias in education are areas needing further evaluation.

Predicting Self-Rated Health Across the Life Course: Health Equity Insights from Machine Learning Models.

BACKGROUND: Self-rated health is a strong predictor of mortality and morbidity. Machine learning techniques may provide insights into which of the multifaceted contributors to self-rated health are key drivers in diverse groups. OBJECTIVE: We used machine learning algorithms to predict self-rated health in diverse groups in the Behavioral Risk Factor Surveillance System (BRFSS), to understand how machine learning algorithms might be used explicitly to examine drivers of self-rated health in diverse populations. DESIGN: We applied three common machine learning algorithms to predict self-rated health in the 2017 BRFSS survey, stratified by age, race/ethnicity, and sex. We replicated our process in the 2016 BRFSS survey. PARTICIPANTS: We analyzed data from 449,492 adult participants of the 2017 BRFSS survey. MAIN MEASURES: We examined area under the curve (AUC) statistics to examine model fit within each group. We used traditional logistic regression to predict self-rated health associated with features identified by machine learning models. KEY RESULTS: Each algorithm, regularized logistic regression (AUC: 0.81), random forest (AUC: 0.80), and support vector machine (AUC: 0.81), provided good model fit in the BRFSS. Predictors of self-rated health were similar by sex and race/ethnicity but differed by age. Socioeconomic features were prominent predictors of self-rated health in mid-life age groups. Income [OR: 1.70 (95% CI: 1.62-1.80)], education [OR: 2.02 (95% CI: 1.89, 2.16)], physical activity [OR: 1.52 (95% CI: 1.46-1.58)], depression [OR: 0.66 (95% CI: 0.63-0.68)], difficulty concentrating [OR: 0.62 (95% CI: 0.58-0.66)], and hypertension [OR: 0.59 (95% CI: 0.57-0.61)] all predicted the odds of excellent or very good self-rated health. CONCLUSIONS: Our analysis of BRFSS data show social determinants of health are prominent predictors of self-rated health in mid-life. Our work may demonstrate promising practices for using machine learning to advance health equity.

Identification of Racial Inequities in Access to Specialized Inpatient Heart Failure Care at an Academic Medical Center.

BACKGROUND: Racial inequities for patients with heart failure (HF) have been widely documented. HF patients who receive cardiology care during a hospital admission have better outcomes. It is unknown whether there are differences in admission to a cardiology or general medicine service by race. This study examined the relationship between race and admission service, and its effect on 30-day readmission and mortality Methods: We performed a retrospective cohort study from September 2008 to November 2017 at a single large urban academic referral center of all patients self-referred to the emergency department and admitted to either the cardiology or general medicine service with a principal diagnosis of HF, who self-identified as white, black, or Latinx. We used multivariable generalized estimating equation models to assess the relationship between race and admission to the cardiology service. We used Cox regression to assess the association between race, admission service, and 30-day readmission and mortality. RESULTS: Among 1967 unique patients (66.7% white, 23.6% black, and 9.7% Latinx), black and Latinx patients had lower rates of admission to the cardiology service than white patients (adjusted rate ratio, 0.91; 95% CI, 0.84-0.98, for black; adjusted rate ratio, 0.83; 95% CI, 0.72-0.97 for Latinx). Female sex and age >75 years were also independently associated with lower rates of admission to the cardiology service. Admission to the cardiology service was independently associated with decreased readmission within 30 days, independent of race. CONCLUSIONS: Black and Latinx patients were less likely to be admitted to cardiology for HF care. This inequity may, in part, drive racial inequities in HF outcomes.

Social media and cadaveric dissection: A survey study.

The use of social media opens content to the general public and, as a result, places images of cadaveric dissection in an open forum. This raises the question: should the general public have access to such material? A survey was conducted examining whether the general public should have access to gross cadaveric dissection images and videos for educational purposes via social media. Both medical and laypersons were queried. Questions included in the survey considered whether images were too graphic, whether online cadaveric content should be age-restricted, and whether consent by the deceased was necessary. A link to the survey was accessible to 63,562 followers through the Seattle Science Foundation's Facebookpage for 3 weeks. Among 300 responders, 89% (267/300) agreed that portrayals of cadaveric specimens/dissection on social media should be accessible by the general public for anatomical education, and 84.67% (254/300) stated that cadaveric dissection is not too graphic for untrained eyes. There was agreement by 60.33% (181/300) that an age restriction should be in place for the viewing of cadaveric dissection on social media, and 39.33% (253/300) of responders suggested restriction to 18 years and older. No statistically significant association was noted between a prior or current history of anatomy education and the frequency of positive responses to the survey questions. Social media is an innovative tool for dispensing anatomical education. The use of cadaveric images and videos provides accessibility to the general public who wish to learn more about human anatomy and their own body. Clin. Anat. 32:1033-1041, 2019. © 2019 Wiley Periodicals, Inc.

Addressing racial bias in wards.

Health disparities fall along racial lines, in part, due to structural inequalities limiting health care access. The concept of race is often taught in health professions education with a clear biologic underpinning despite the significant debate in the literature as to whether race is a social or biologic construct. The teaching of race as a biologic construct, however, allows for the simplification of race as a risk factor for disease. As health care providers, it is part of our professional responsibility and duty to patients to think and talk about race in a way that is cognizant of broader historical, political, and cultural literature and context. Openly discussing the topic of race in medicine is not only uncomfortable but also difficult given its controversies and complicated context. In response, we provide several evidence-based steps to guide discussions around race in clinical settings, while also hopefully limiting the use of bias and racism in the practice of medicine.

Dominique Jean Larrey (1766-1842) and His Contributions to Military Medicine and Early Neurosurgery.

Dr. Dominique Jean Larrey was a pioneer in the field of military surgery. His creative innovation and drive to improve the quality of medical services available to those injured during war guided his achievements in medicine. Dr. Larrey has often been referred to as "the father of emergency medical services" and "the father of modern military medicine." His contributions to medicine continue to live on in common procedures and healthcare systems today, such as aspiration of pericardial effusion and drainage of hemothorax and empyema. Based on his own writings, he treated multiple cases of intracranial injury, making him an early, but often forgotten, pioneer of neurosurgery.

High discordance in blood and genital tract HIV-1 drug resistance in Indian women failing first-line therapy.

Objectives: Examine HIV-1 plasma viral load (PVL) and genital tract (GT) viral load (GVL) and drug resistance in India. Methods: At the YRG Centre for AIDS Research and Education, Chennai, we tested: PVL in women on first-line ART for ≥6 months; GVL when PVL >2000 copies/mL; and plasma, genital and proviral reverse transcriptase drug resistance when GVL >2000 copies/mL. Wilcoxon rank-sum and Fisher's exact tests were used to identify failure and resistance associations. Pearson correlations were calculated to evaluate PVL-GVL associations. Inter-compartmental resistance discordance was evaluated using generalized estimating equations. Results: Of 200 women, 37% had detectable (>400 copies/mL) PVL and 31% had PVL >1000 copies/mL. Of women with detectable PVL, 74% had PVL >2000 copies/mL, of which 74% had detectable GVL. Higher PVL was associated with higher GVL. Paired plasma and genital sequences were available for 21 women; mean age of 34 years, median ART duration of 33 months, median CD4 count of 217 cells/mm3, median PVL of 5.4 log10 copies/mL and median GVL of 4.6 log10 copies/mL. Drug resistance was detected in 81%-91% of samples and 67%-76% of samples had dual-class resistance. Complete three-compartment concordance was seen in only 10% of women. GT-proviral discordance was significantly larger than plasma-proviral discordance. GT or proviral mutations discordant from plasma led to clinically relevant resistance in 24% and 30%, respectively. Conclusions: We identified high resistance and high inter-compartmental resistance discordance in Indian women, which might lead to unrecognized resistance transmission and re-emergence compromising treatment outcomes, particularly relevant to countries like India, where sexual HIV transmission is predominant.

Ecological generalism facilitates the evolution of sociality in snapping shrimps.

Evidence from insects and vertebrates suggests that cooperation may have enabled species to expand their niches, becoming ecological generalists and dominating the ecosystems in which they occur. Consistent with this idea, eusocial species of sponge-dwelling Synalpheus shrimps from Belize are ecological generalists with a broader host breadth and higher abundance than non-eusocial species. We evaluate whether sociality promotes ecological generalism (social conquest hypothesis) or whether ecological generalism facilitates the transition to sociality (social transition hypothesis) in 38 Synalpheus shrimp species. We find that sociality evolves primarily from host generalists, and almost exclusively so for transitions to eusociality. Additionally, sponge volume is more important for explaining social transitions towards communal breeding than to eusociality, suggesting that different ecological factors may influence the independent evolutionary origins of sociality in Synalpheus shrimps. Ultimately, our results are consistent with the social transition hypothesis and the idea that ecological generalism facilitates the transition to sociality.

Treatment failure and drug resistance in HIV-positive patients on tenofovir-based first-line antiretroviral therapy in western Kenya.

INTRODUCTION: Tenofovir-based first-line antiretroviral therapy (ART) is recommended globally. To evaluate the impact of its incorporation into the World Health Organization (WHO) guidelines, we examined treatment failure and drug resistance among a cohort of patients on tenofovir-based first-line ART at the Academic Model Providing Access to Healthcare, a large HIV treatment programme in western Kenya. METHODS: We determined viral load (VL), drug resistance and their correlates in patients on ≥six months of tenofovir-based first-line ART. Based on enrolled patients' characteristics, we described these measures in those with (prior ART group) and without (tenofovir-only group) prior non-tenofovir-based first-line ART using Wilcoxon rank sum and Fisher's exact tests. RESULTS: Among 333 participants (55% female; median age 41 years; median CD4 336 cells/µL), detectable (>40 copies/mL) VL was found in 18%, and VL>1000 copies/mL (WHO threshold) in 10%. Virologic failure at both thresholds was significantly higher in 217 participants in the tenofovir-only group compared with 116 in the prior ART group using both cut-offs (24% vs. 7% with VL>40 copies/mL; 15% vs. 1% with VL>1000 copies/mL). Failure in the tenofovir-only group was associated with lower CD4 values and advanced WHO stage. In 35 available genotypes from 51 participants in the tenofovir-only group with VL>40 copies/mL (69% subtype A), any resistance was found in 89% and dual-class resistance in 83%. Tenofovir signature mutation K65R occurred in 71% (17/24) of the patients infected with subtype A. Patients with K65R had significantly lower CD4 values, higher WHO stage and more resistance mutations. CONCLUSIONS: In this Kenyan cohort, tenofovir-based first-line ART resulted in good (90%) virologic suppression including high suppression (99%) after switch from non-tenofovir-based ART. Lower virologic suppression (85%) and high observed resistance levels (89%) in the tenofovir-only group impact future treatment options, support recommendations for widespread VL monitoring in such resource limited settings to identify early treatment failure and suggest consideration of individualized resistance testing to design effective subsequent regimens.