Whole-Body Sweat Rate Prediction: Outdoor Running and Cycling Exercise.

Our aim was to develop and validate separate whole-body sweat rate prediction equations for moderate to high intensity outdoor cycling and running, using simple measured or estimated activity and environmental inputs. Across two collection sites in Australia, 182 outdoor running trials, and 158 outdoor cycling trials were completed at a wet-bulb globe temperature ranging from ~15 to ~29˚C, with ~60-min whole-body sweat rates measured in each trial. Data were randomly separated into model development (running: 120; cycling: 100 trials) and validation groups (running: 62; cycling: 58 trials), enabling proprietary prediction models to be developed and then validated. Running and cycling models were also developed and tested when locally measured environmental conditions were substituted with participant subjective ratings for black globe temperature, wind speed, and humidity. The mean absolute error for predicted sweating rate was 0.03 and 0.02 L·h-1 for running and cycling models, respectively. The 95% confidence intervals for running (+0.44 and -0.38 L·h-1) and cycling (+0.45 and -0.42 L·h-1) were within acceptable limits for an equivalent change in total body mass over 3 h of ±2%. The individual variance in observed sweating described by the predictive models was 77% and 60% for running and cycling, respectively. Substituting measured environmental variables with subjective assessments of climatic characteristics reduced the variation in observed sweating described by the running model by up to ~25%, but only by ~2% for the cycling model. These prediction models are publicly accessible (https://sweatratecalculator.com) and can guide individualized hydration management in advance of outdoor running and cycling.

A Visualization Tool to Study Dyadic Caregiving Health Profiles.

OBJECTIVES: Guided by a life course perspective and fundamental cause theory, this study aims to visualize co-trajectories of health between partners and examine how changes in one spouse's cognitive status can cohesively impact the health of the other spouse along three dimensions (functional, mental, and cognitive). METHODS: Drawing longitudinal data from the Health and Retirement Study 2000-2016 (N = 3582), we measure women's health profiles by functional limitation (physical health), depression (mental health), and cognitive function (cognitive health). We use multivariate linear mixed models to summarize these paths in the same visual representation. RESULTS: The approach provides a visualization tool that depicts data and model in the same spatial representation allowing assessment of model fit and comparison. This study advances the traditional life course studies by representing underlying processes as a multidimensional time vector of health outcomes. DISCUSSION: The described approach provides a blueprint for studying complex health profiles or trajectories.

Biomarkers of chronic inflammation and cognitive decline: A prospective observational study.

We sought to determine whether the biomarkers of chronic inflammation predict cognitive decline in a prospective observational study. We measured baseline serum soluble urokinase plasminogen activator receptor (suPAR) and high sensitivity C-reactive protein (hs-CRP) levels in 282 participants of the University of Michigan Memory and Aging Project. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) and the Clinical Dementia Rating (CDR) scale for up to five time points. SuPAR and hs-CRP levels were not significantly higher in participants with mild cognitive impairment (n = 97) or dementia (n = 59), compared to those with normal cognitive function (n = 126). Overall, 14% of participants experienced significant cognitive decline over the study period. The change in MoCA or CDR scores over time did not differ significantly according to baseline suPAR or hs-CRP levels. Chronic systemic inflammation, as measured by serum suPAR or hs-CRP levels, is unlikely to contribute significantly to cognitive decline.

Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic.

The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and endogenous (spontaneous reaction to infection risks) origin. Here, we characterize collective physical distancing-mobility reductions, minimization of contacts, shortening of contact duration-in response to the COVID-19 pandemic in the pre-vaccine era by analyzing de-identified, privacy-preserving location data for a panel of over 5.5 million anonymized, opted-in U.S. devices. We define five indicators of users' mobility and proximity to investigate how the emerging collective behavior deviates from typical pre-pandemic patterns during the first nine months of the COVID-19 pandemic. We analyze both the dramatic changes due to the government mandated mitigation policies and the more spontaneous societal adaptation into a new (physically distanced) normal in the fall 2020. Using the indicators here defined we show that: a) during the COVID-19 pandemic, collective physical distancing displayed different phases and was heterogeneous across geographies, b) metropolitan areas displayed stronger reductions in mobility and contacts than rural areas; c) stronger reductions in commuting patterns are observed in geographical areas with a higher share of teleworkable jobs; d) commuting volumes during and after the lockdown period negatively correlate with unemployment rates; and e) increases in contact indicators correlate with future values of new deaths at a lag consistent with epidemiological parameters and surveillance reporting delays. In conclusion, this study demonstrates that the framework and indicators here presented can be used to analyze large-scale social distancing phenomena, paving the way for their use in future pandemics to analyze and monitor the effects of pandemic mitigation plans at the national and international levels.

Barriers to and Facilitators of Family Caregiving of Patients With COVID-19 Early in the Pandemic.

BACKGROUND: In 2020, many family members were thrust into the role of caregiving for a relative with COVID-19 with little preparation, training, or understanding of the disease and its symptoms. OBJECTIVES: To explore the barriers to and facilitators of caregiving experienced by family caregivers of patients with COVID-19 who had been in intensive care in the pandemic's earliest months. METHODS: In-depth qualitative interviews were conducted by web conference with 16 adults recovering at home after intubation for COVID-19 in an intensive care unit at a major academic medical center and their primary caregivers from March to August 2020 (N = 32). Thematic qualitative analysis was done using Watkins' rigorous and accelerated data reduction technique with MAXQDA software. RESULTS: Seven themes emerged regarding factors that facilitated or posed barriers to care: other health conditions that increased complexity of care, interactions and experiences in the health care system, COVID-19's proliferation into other areas of life, the psychological well-being of the patient-caregiver dyad, experience of support from the dyad's network, the role of caregiving in the dyad, and contextual circumstances of the dyad. The themes often included both barriers and facilitators, depending on the experience of the dyad (eg, feeling encouraged vs fatigued by their support network). CONCLUSIONS: Understanding how patients with COVID-19 and their caregivers experience illness management across the recovery journey can help clarify the COVID-19 care-giving process and identify intervention targets to improve overall health and well-being of the care dyad.

An impact evaluation of conservation investments targeting long-distance migratory species.

We evaluated the impact of a philanthropic program investing in the conservation of sites along the Pacific Americas Flyway, which spans >16,000 km of coastline and is used by millions of shorebirds. Using a quasi-experimental, mixed methods approach, we estimated what would have happened to shorebird populations at 17 wintering sites without the sustained and additional investment they received. We modeled shorebird populations across the entire flyway and at sites with and without investment. Combining shorebird abundance estimates with a land-cover classification model, we used the synthetic control method to create counterfactuals for shorebird trends at the treatment sites. We found no evidence of an overall effect across three outcome variables. Species- and site-level treatment effects were heterogeneous, with a few cases showing evidence of a positive effect, including a site with a high level of overall investment. Results suggest six shorebirds declined across the entire flyway, including at many Latin American sites. However, the percentage of flyway populations present at the sites remained stable, and the percentage at the treatment sites was higher (i.e., investment sites) than at control sites. Multiple mechanisms behind our results are possible, including that investments have yet to mitigate impacts and negative impacts at other sites are driving declines at the treatment sites. A limitation of our evaluation is the sole focus on shorebird abundance and the lack of data that prohibits the inclusion of other outcome variables. Monitoring infrastructure is now in place to design a more robust and a priori shorebird evaluation framework across the entire flyway. With this framework, it will prove easier to prioritize limited dollars to result in the most positive conservation outcomes.

Evaluación del impacto de la inversión para la conservación enfocada en especies migratorias de largo recorrido Resumen Evaluamos el impacto de un programa filantrópico que invierte en la conservación de sitios a lo largo de la Ruta Migratoria Pacífico-Américas, la cual abarca >16,000 km de la línea costera y millones de aves playeras la usan. Estimamos con una estrategia cuasiexperimental y de métodos mixtos lo que habría pasado con las poblaciones de estas aves en 17 sitios invernales sin la inversión adicional y continua que recibieron. Modelamos estas poblaciones en toda la ruta y en sitios con y sin inversión. Combinamos las estimaciones de aves playeras con el modelo de clasificación de la cobertura del suelo y usamos el método de control sintético para crear contrafactuales para las tendencias de las aves playeras en sitios de tratamiento. No encontramos evidencia alguna de un efecto generalizado en las tres variables de los resultados. Los efectos del tratamiento de especies y de sitio fueron heterogéneos, con unos cuantos casos que mostraron evidencia de un efecto positivo, incluido un sitio con un nivel elevado de inversión general. Los resultados sugieren que seis especies de aves playeras declinaron a lo largo de toda la ruta, incluyendo en varios sitios de América Latina. Sin embargo, el porcentaje de poblaciones de la ruta presentes en los sitios permaneció estable y el porcentaje en los sitios de tratamiento (sitios de inversión) fue más elevado que en los sitios control. Muchos mecanismos son posibles detrás de nuestros resultados, incluidas las inversiones que todavía no han mitigado impactos y los impactos negativos en otros sitios que están causando las declinaciones en los sitios de tratamiento. Una limitación en nuestra evaluación es el enfoque único en la abundancia de aves playeras y la falta de datos que impiden la inclusión de otras variables de los resultados. El monitoreo de la infraestructura ahora está en una posición en la que puede diseñar un marco de evaluación más robusto y a priori de las aves playeras a lo largo de toda la ruta. Con este marco, será más fácil priorizar los dólares limitados para que los resultados de conservación sean lo más positivos posible.

A nationwide analysis of geriatric proximal humerus fractures: trends, outcomes, and cost.

Background: In the USA, proximal humerus fractures (PHF) are the third most common fracture among the elderly. Although most geriatric PHF are treated conservatively, surgical management remains an option. This retrospective study compares annual trends, patient outcomes, and hospital costs between operatively and non-operatively managed geriatric PHF. Methods: The Healthcare Cost and Utilization Project Nationwide Inpatient Sample was queried from 2012 to 2015. Geriatric patients with PHF were identified and those who underwent operative or non-operative management were compared in trends, outcomes and costs. Results: In total, 137 810 patients met inclusion criteria, of which 51 795 (37.6%) underwent operative management. The operative cohort was younger (76.6 vs 80.9, p<0.001) with a greater proportion of females (81.8% vs 77.6%, p<0.001). The operative cohort demonstrated less frailty and lower Elixhauser Comorbidity Scores (both p<0.001). The operative cohort was also more likely to be discharged home (30.4% vs 13.9%, p<0.001). There was no significant linear trend in age-adjusted and sex-adjusted proportions of operative versus non-operative geriatric PHF (p=0.071), but a positive linear trend was statistically significant for total cost of operative geriatric PHF (p<0.001). Multivariable analyses demonstrated similar overall complication rates between cohorts (OR 0.95, 95% CI 0.89 to 1.00; p=0.06), although surgical intervention increased length of stay (LOS) by 0.15 days (95% CI 0.03 to 0.27; p<0.001) and median cost of hospitalization by US$10 684 (95% CI US$10 384 to US$10 984; p<0.001). Conclusions: This study identifies a positive linear trend in total cost of operatively managed geriatric PHF from 2012 to 2015. Operative management of geriatric PHF is associated with a similar overall complication rate and greater likelihood of being discharged home. Although non-operative management is associated with decreased LOS and hospital expenses, providers should consider surgical PHF treatment options when available and appropriate in the context of patient-focused outcomes, particularly long-term disposition after intervention. Level of Evidence: This level IV retrospective study identifies.

Enhancing Nonverbal Communication Through Virtual Human Technology: Protocol for a Mixed Methods Study.

BACKGROUND: Communication is a critical component of the patient-provider relationship; however, limited research exists on the role of nonverbal communication. Virtual human training is an informatics-based educational strategy that offers various benefits in communication skill training directed at providers. Recent informatics-based interventions aimed at improving communication have mainly focused on verbal communication, yet research is needed to better understand how virtual humans can improve verbal and nonverbal communication and further elucidate the patient-provider dyad. OBJECTIVE: The purpose of this study is to enhance a conceptual model that incorporates technology to examine verbal and nonverbal components of communication and develop a nonverbal assessment that will be included in the virtual simulation for further testing. METHODS: This study will consist of a multistage mixed methods design, including convergent and exploratory sequential components. A convergent mixed methods study will be conducted to examine the mediating effects of nonverbal communication. Quantitative (eg, MPathic game scores, Kinect nonverbal data, objective structured clinical examination communication score, and Roter Interaction Analysis System and Facial Action Coding System coding of video) and qualitative data (eg, video recordings of MPathic-virtual reality [VR] interventions and student reflections) will be collected simultaneously. Data will be merged to determine the most crucial components of nonverbal behavior in human-computer interaction. An exploratory sequential design will proceed, consisting of a grounded theory qualitative phase. Using theoretical, purposeful sampling, interviews will be conducted with oncology providers probing intentional nonverbal behaviors. The qualitative findings will aid the development of a nonverbal communication model that will be included in a virtual human. The subsequent quantitative strand will incorporate and validate a new automated nonverbal communication behavior assessment into the virtual human simulation, MPathic-VR, by assessing interrater reliability, code interactions, and dyadic data analysis by comparing Kinect responses (system recorded) to manually scored records for specific nonverbal behaviors. Data will be integrated using building integration to develop the automated nonverbal communication behavior assessment and conduct a quality check of these nonverbal features. RESULTS: Secondary data from the MPathic-VR randomized controlled trial data set (210 medical students and 840 video recordings of interactions) were analyzed in the first part of this study. Results showed differential experiences by performance in the intervention group. Following the analysis of the convergent design, participants consisting of medical providers (n=30) will be recruited for the qualitative phase of the subsequent exploratory sequential design. We plan to complete data collection by July 2023 to analyze and integrate these findings. CONCLUSIONS: The results from this study contribute to the improvement of patient-provider communication, both verbal and nonverbal, including the dissemination of health information and health outcomes for patients. Further, this research aims to transfer to various topical areas, including medication safety, informed consent processes, patient instructions, and treatment adherence between patients and providers. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46601.

Association Between Health Insurance and Outcomes After Traumatic Brain Injury: A National ACS-TQP-PUF Database Study.

INTRODUCTION: According to the US Census Bureau, roughly 8.6% of the population lacks health care coverage. Increasing evidence suggests that insurance status plays a role in outcomes after trauma. However, its role in the setting of traumatic brain injury (TBI) remains poorly understood. METHODS: The Trauma Quality Programs Participant Use Files were queried from 2017 to 2019. All patients with isolated TBI were identified. Isolated TBI was defined as: 1) Head Abbreviated Injury Scale (AIS) > 3 and 2) AIS <3 in all other anatomical regions. Patients dead on arrival, with Head AIS = 6, or missing key data were excluded. Demographic and clinical information was compared between those with and without insurance. Multivariate regressions were used to assess associations between insurance status and TBI outcomes (inhospital mortality, discharge to facility, total ventilator days, Intensive Care Unit length of stay (ICU LOS), and hospital LOS). RESULTS: In total, 199,556 patients met inclusion criteria; 18,957 (9.5%) were uninsured. Compared to the insured, uninsured TBI patients were younger with a greater proportion of males. Uninsured patients were less severely injured and less comorbid. Uninsured patients had shorter unadjusted LOS in the ICU and hospital. Yet, uninsured patients experienced greater unadjusted inhospital mortality (12.7% versus 8.4%, P < 0.001). When controlling for covariates, lack of insurance was significantly associated with increased likelihood of mortality (OR 1.62; P < 0.001). This effect was most noticeable in patients with Head AIS = 4 (OR 1.55; P < 0.001) and Head AIS = 5 (OR 1.80; P < 0.001). Lack of insurance was also significantly associated with decreased likelihood of discharge to facility (OR 0.38), decreased ICU LOS (Coeff. -0.61), and decreased hospital LOS (Coeff. -0.82; all P < 0.001). CONCLUSIONS: This study demonstrates that insurance status is independently associated with outcome disparities after isolated TBI. Despite the Affordable Care Act (ACA) reform, lack of insurance appears significantly associated with inhospital mortality, decreased likelihood of discharge to facility, and decreased time spent in the ICU and hospital.

Implications of Cumulative Life Event Stress for Daily Stress Exposure and Cardiovascular Reactivity Among Black and White Americans.

OBJECTIVES: Daily stress and cardiovascular reactivity may be important mechanisms linking cumulative life event stress with cardiovascular health and may help to explain racial health disparities. However, studies have yet to examine links between exposure to life event stress, daily stress exposure, and cardiovascular reactivity. This study assessed links between trajectories of life event stress exposure, daily stressors, and cardiovascular reactivity among Black and White individuals. METHODS: Participants are from the Stress and Well-being in Everyday Life Study in which 238 individuals (109 Black 129 White; ages 33-93), drawn from the longitudinal Social Relations Study, reported life event stress in 1992, 2005, 2015, and 2018. Of those individuals, 169 completed an ecological momentary assessment study in which they reported stress exposure every 3 hr, and 164 wore a heart rate monitor for up to 5 days. RESULTS: Latent class growth curve models revealed 2 longitudinal trajectories of life event stress: moderate-increasing and low-decreasing. Individuals in the moderate-increasing stress trajectory reported greater daily stress exposure and links did not vary by race. Black individuals in the low-decreasing trajectory and White individuals in the moderate-increasing trajectory showed positive associations between daily stress and heart rate (i.e., were reactive to daily stress exposure). The link between daily stress and heart rate was not significant among Black individuals in the moderate-increasing trajectory and White individuals in the low-decreasing trajectory. DISCUSSION: Individuals who experience more life events across the adult life course report greater daily stress exposure which has important implications for daily cardiovascular health. Black individuals with moderate-increasing life event stress show evidence of blunted daily stress reactivity (nonsignificant association between daily stress and heart rate) whereas Black individuals with low-decreasing life event stress show evidence of stress reactivity (positive association between daily stress and heart rate). White individuals showed the opposite pattern (albeit marginally). These findings expand the weathering hypothesis and indicate that chronic life event stress may be associated with blunted stress reactivity among Black individuals.

TRAUMATIC BRAIN INJURY-INDUCED INFLAMMATION AND GASTROINTESTINAL MOTILITY DYSFUNCTION.

ABSTRACT: Background: Traumatic brain injury (TBI) is a significant cause of morbidity and mortality in the United States, with an annual cost of 60 billion dollars. There is evidence suggesting that in the post-TBI period, the gastrointestinal tract plays a central role in driving organ and immune dysfunction and may be the source of increased circulating proinflammatory mediators. In this study, we examined systemic inflammation and bacterial dysbiosis in patients who sustained a TBI with or without polytrauma. Using a mouse model of TBI, we further show how neuroinflammation after TBI is potentially linked to disruptions in gut homeostasis such as intestinal transit and inflammation. Methods: During a study of trauma patients performed from September 1, 2018, to September 1, 2019, at a single, level 1 trauma center, TBI patients aged 21 to 95 years were enrolled. Patients were categorized as TBI based on evidence of acute abnormal findings on head computed tomographic scan, which was a combination of isolated TBI and TBI with polytrauma. Blood and stool samples were collected between 24 h and 3 days after admission. Twelve plasma samples and 10 fecal samples were used for this study. Healthy control samples were obtained from a healthy control biobank. We examined systemic inflammation and bacterial changes in patients who sustained a TBI. In addition, TBI was induced in 9- to 10-week-old male mice; we assessed neuroinflammation, and intestine transit (motility) and bacterial changes 24 h after TBI. Results: When compared with healthy controls, TBI patients had increased systemic inflammation as evidenced by increased levels of IFN-γ and MCP-1 and a trend toward an increase of IL-6 and IL-8 ( P = 0.0551 and P = 0.0549), respectively. The anti-inflammatory cytokine, IL-4, was also decreased in TBI patients. Although there was a trend of an increase in copy number of Enterobacteriaceae and a decrease in copy number of Lactobacillus in both patients and mice after TBI, these trends were not found to be significantly different. However, TBI significantly increased the copy number of another potential pathogenic bacteria Bilophila wadsworthia in TBI patients compared with healthy controls. After a moderate TBI, mice had increased expression of TNF-α, IL-6 and IL-1ß, CXCL1, s100a9, and Ly6G and decreased IL-10 in the brain lesion after TBI. This accompanied decreased transit and increased TNF-α in the small intestine of mice after TBI. Conclusions: Our findings suggest that TBI increases systemic inflammation, intestinal dysfunction, and neuroinflammation. More studies are needed to confirm whether changes in intestinal motility play a role in post-TBI neuroinflammation and cognitive deficit.

Conceptualizing and Operationalizing Collaboration Among Multiple Caregivers of Older Adults.

OBJECTIVES: In many families, multiple caregivers support older adults living with dementia. Studying collaboration among caregivers requires consideration of conceptual and methodological issues that have not been fully explored. This study presents a framework for conceptualizing caregiver collaboration and an index that captures variation in collaboration among multiple caregivers within care networks. METHODS: We used data from the 2015 waves of the National Health and Aging Trends Study and National Study of Caregiving (NSOC) to operationalize collaboration among multiple caregivers (N = 1,298) of 552 care recipients (Mage = 83.69, SD = 7.73; 71.6% women; 47.9% possible/probable dementia; 38.9% people of color). RESULTS: The care collaboration index considered individual and overlapping contributions while controlling for the size of the care network (caregivers in network responding to NSOC survey) and total network size (number of caregivers in network) in the statistical model. Larger care networks enabled more collaboration, both in general and across most types of tasks (ßs > 0.38). Collaboration was greater among those caring for a Black or Hispanic care recipient, both in general and for household and medical/health tasks specifically (ßs > 0.11). Collaboration was also greater among those caring for recipients with probable dementia, both in general and for most tasks (ßs > 0.11) but not transportation-related tasks (p = .219). DISCUSSION: Results are examined in the context of care network dynamics and proposed mechanisms linking care collaboration to outcomes for caregivers and recipients. Strengths and limitations of our conceptualization and operationalization of collaboration are discussed.

Changes in children's attachment security to mother and father after the birth of a sibling: Risk and resilience in the family.

Changes in children's attachment security to mother and father were examined for 230 firstborn children (M = 31.17 months), their mothers and fathers participating in a longitudinal investigation starting in the last trimester of the mothers' pregnancy and 1, 4, 8, and 12 months after the birth of an infant sibling. Both parents completed the Attachment Q-set at prenatal, 4, and 12 months. Growth mixture models revealed four latent classes in which children's attachments were (a) both secure with a modest decline to both parents (68.3%); (b) more secure with father than mother with a steep decline for both (12.6%); (c) both insecure with no change (10%); and (d) more secure with mother than father with a modest increase for both (9.1%). Multi-group latent growth curve analyses revealed that parenting and coparenting differed across families. Children had lower externalizing behavior problems in families with two secure attachments than in families with one secure attachment, either to mother or to father, who, in turn, had fewer problems than children with two insecure attachments. Findings underscore the strengths of a family systems framework to understand attachment relationships with multiple caregivers and the family risks and protective factors that covary with children's behavioral adjustment after the birth of a sibling.

Lesiones vertebrales postraumáticas / Post-traumatic vertebral injuries

Introducción: Las lesiones raquídeas son frecuentes en hombres adultos jóvenes. Reconocer la cinemática ayuda a disminuir la tasa de diagnósticos tardíos, principalmente si hay trastornos de la conciencia. Las fracturas vertebrales pueden ser únicas o múltiples, y asociarse con lesiones extravertebrales. Los objetivos de este estudio fueron analizar la distribución de la lesión según el mecanismo de producción, caracterizar el cuadro neurológico, evaluar el patrón de lesión y la asociación con lesiones extra-vertebrales, y analizar el tratamiento. materiales y métodos: Estudio multicéntrico, prospectivo de pacientes con lesiones vertebrales postrauma, que ingresaron entre el 1 de julio de 2018 y el 30 de junio de 2020. Se analizaron los siguientes parámetros: edad, sexo, cinemática, cuadro neurológico, sector afectado, patrón de lesión, lesiones extravertebrales asociadas. Resultados: Se evaluó a 281 pacientes (60% hombres) con 400 lesiones vertebrales y 118 extravertebrales que, en 62 casos, conformaban un cuadro de politraumatismo; 147 con trauma por caída de altura y 98, por accidente de tránsito. El cuadro neurológico más observado fue ASIA E (8 casos), no determinado al ingreso. El sector T2-L5 fue el más afectado, en su mayoría, por lesiones por compresión. Las lesiones extravertebrales más frecuentes fueron el trauma de cráneo y de tórax; hubo un caso de SCIWORA y un óbito temprano. Conclusiones: Los sectores raquídeos más afectados fueron: el toracolumbar, el torácico y el lumbar; las lesiones suelen deberse a caídas de altura y suelen ser únicas, sin cuadro neurológico. El tratamiento se decide según la estabilidad y el cuadro neurológico. Nivel de Evidencia: IV

Introduction: Spinal injuries are common among young adult men. Recognizing kinematics can help reduce the number of late diagnoses, especially if there are consciousness disorders. Vertebral fractures can be single or multiple, and they are often associated with extravertebral injuries. Objectives: To examine the distribution of the lesion based on the mechanism of production, to characterize the neurological condition, to evaluate the lesion pattern and its relationship with extravertebral lesions, and to analyze the treatment. materials and methods:This was a multicenter, prospective study of patients admitted with post-trauma vertebral injuries between July 1, 2018 and June 30, 2020. Age, gender, kinematics, neurological condition, affected sector, pattern of injury, and associated extravertebral injuries were all examined. Results: There were 281 patients (60% men) evaluated, with 400 vertebral and 118 extravertebral lesions. The causes were as follows: polytrauma in 62 cases, falls from great heights in 147 patients, and traffic accidents in 98. ASIA E was the most frequently observed neurological picture (8 cases), which was not determined at admission. The T2-L5 sector was the most affected, mostly by compression injuries. Head and chest trauma were the most common extravertebral injuries; there was one case of SCIWORA and one early death. Conclusions: The most commonly affected spinal sectors were thoracolumbar, thoracic, and lumbar; the injuries are typically caused by falls from great heights and, in general, are isolated, with no neurological injuries. The treatment is determined by the stability and neurological condition. Level of Evidence: IV

Caregiving in the COVID-19 pandemic: Family adaptations following an intensive care unit hospitalisation.

AIM AND OBJECTIVE: To identify how family caregivers adapt to the caregiving role following a relative's COVID-19-related intensive care unit (ICU) hospitalisation. BACKGROUND: Family caregiving is often associated with poor health amongst caregivers which may limit their capacity to effectively support patients. Though severe COVID-19 infection has necessitated increasing numbers of persons who require caregiver support, little is known about these caregivers, the persons they are caring for, or the strategies used to effectively adjust to the caregiving role. DESIGN: A qualitative descriptive study design was adopted, and findings are reported using COREQ. METHODS: A secondary analysis of transcripts from semi-structured interviews conducted with recently discharged ICU patients who had COVID-19 (n = 16) and their family caregivers (n = 16) was completed using thematic analysis. MAXQDA 2020 and Miro were used to organise data and complete coding. Analysis involved a structured process of open and closed coding to identify and confirm themes that elucidated adaptation to family caregiving. RESULTS: Six themes highlight how family caregivers adapt to the caregiving role following an ICU COVID-19-related hospitalisation including (1) engaging the support of family and friends, (2) increased responsibilities to accommodate caregiving, (3) managing emotions, (4) managing infection control, (5) addressing patient independence and (6) engaging support services. These themes were found to be congruent with the Roy adaptation model. CONCLUSIONS: Family caregiving is a stressful transition following a patient's acute hospitalisation. Effective adaptation requires flexibility and sufficient support, beginning with the care team who can adequately prepare the family for the anticipated challenges of recovery. RELEVANCE TO CLINICAL PRACTICE: Clinical teams may improve post-hospitalisation care outcomes of patients by preparing families to effectively adjust to the caregiver role-particularly in identifying sufficient support resources. PATIENT OR PUBLIC CONTRIBUTION: Participation of patients/caregivers in this study was limited to the data provided through participant interviews.

Deviations from typical paths: a novel approach to working with GPS data in the behavioral sciences.

BACKGROUND: Behavioral science researchers are increasingly collecting detailed location data such as second-by-second GPS tracking on participants due to increased ease and affordability. While intraindividual variability has been discussed in the travel literature for decades, traditional methods designed for studying individual differences in central tendencies limit the extent to which novel questions about variability in lived experiences can be answered. Thus, new methods of quantifying behavior that focus on intraindividual variability are needed to address the context in which the behavior occurs and the location tracking data from which behavior is derived. METHODS: We propose deviations from typical paths as a data processing technique to separate individual-level typical travel behavior from a location tracking data set in order to highlight atypical travel behavior as an outcome measure. RESULTS: A simulated data example shows how the method works to produce deviation measures from a location dataset. Analysis of these deviations offers additional insights compared to traditional measures of maximum daily distance from home. CONCLUSIONS: This process can be integrated into larger research questions to explore predictors of atypical behavior and potential mechanisms of behavior change.

A multicenter validation of the modified brain injury guidelines: Are they safe and effective?

BACKGROUND: The modified Brain Injury Guidelines (mBIG) are an algorithm for treating patients with traumatic brain injury and intracranial hemorrhage by which selected patients do not require a repeat head computed tomography, a neurosurgery consult, or even an admission. The mBIG refined the original Brain Injury Guidelines (BIG) to improve safety and reproducibility. The purpose of this study is to assess safety and resource utilization with mBIG implementation. METHODS: The mBIG were implemented at three Level I trauma centers in August 2017. A multicenter retrospective review of prospectively collected data was performed on adult mBIG 1 and 2 patients. The post-mBIG implementation period (August 2017 to February 2021) was compared with a previous BIG retrospective evaluation (January 2014 to December 2016). RESULTS: There were 764 patients in the two study periods. No differences were identified in demographics, Injury Severity Score, or admission Glasgow Coma Scale score. Fewer computed tomography scans (2 [1,2] vs. 2 [2,3], p < 0.0001) and neurosurgery consults (61.9% vs. 95.9%, p < 0.0001) were obtained post-mBIG implementation. Hospital (2 [1,4] vs. 2 [2,4], p = 0.013) and intensive care unit (0 [0,1] vs. 1 [1,2], p < 0.0001) length of stay were shorter after mBIG implementation. No difference was seen in the rate of clinical or radiographic progression, neurosurgery operations, or mortality between the two groups.After mBIG implementation, eight patients (1.6%) worsened clinically. Six patients that clinically progressed were discharged with Glasgow Coma Scale score of 15 without needing neurosurgery intervention. One patient had clinical and radiographic decompensation and required craniotomy. Another patient worsened clinically and radiographically, but due to metastatic cancer, elected to pursue comfort measures and died. CONCLUSION: This prospective validation shows the mBIG are safe, pragmatic, and can dramatically improve resource utilization when implemented. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level III.