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Advanced imaging techniques are enhancing research capacity focussed on the developmental origins of adult health and disease (DOHaD) hypothesis, and consequently increasing awareness of future health risks across various subareas of DOHaD research themes. Understanding how these advanced imaging techniques in animal models and human population studies can be both additively and synergistically used alongside traditional techniques in DOHaD-focussed laboratories is therefore of great interest. Global experts in advanced imaging techniques congregated at the advanced imaging workshop at the 2019 DOHaD World Congress in Melbourne, Australia. This review summarizes the presentations of new imaging modalities and novel applications to DOHaD research and discussions had by DOHaD researchers that are currently utilizing advanced imaging techniques including MRI, hyperpolarized MRI, ultrasound, and synchrotron-based techniques to aid their DOHaD research focus.
OBJECTIVES/GOALS: Specific Aim 1 To examine sex distribution of psoas cross sectional area (CSA) on CT imaging in a cohort of trauma patients age 55 and older. We will use three methods of assessing psoas CSA: psoas CSA averaged between left and right, average psoas CSA adjusted for height, and average psoas CSA adjusted for body surface area (psoas index). Specific Aim 2 Use multivariable logistic regression prediction modeling to compare the 3 methods of CT psoas muscle measurement widely used in the literature in their ability to predict a composite of in-hospital morbidity and mortality in trauma patients ages 55 and older. METHODS/STUDY POPULATION: The Maine Medical Center Trauma Registry is maintained by the Trauma Surgery Service at Maine Medical Center in Portland, Maine, the only Level-1 trauma center in the state. After receiving approval from the Institutional Review Board of Maine Medical Center for this retrospective cohort study, we queried the Maine Medical Center Trauma Registry for all adults 55 years and older who underwent evaluation by the Trauma Service between January 1, 2015 and January 1, 2019. In the case of multiple admissions within the study time period, only a patient’s index admission was used. MaineHealth IMPACS imaging software was used to measure bilateral psoas CSA on each patient CT. The Maine Medical Center electronic medical record was queried for additional clinical information including the ICD codes associated with each patient encounter. Data analysis was performed using R statistical software (R project, Vienna, Austria). Data is reported as median + IQR for CSA measurements. The agreement between the three methods of quantifying psoas CSA was evaluated using Pearson correlation (R package “stats”). Inter-rater reliability of psoas muscle measurements was evaluated using intra-class correlation (R package “irr”). Prediction models for the composite outcome of in-hospital morbidity and mortality were constructed using multivariable logistic regression. Bootstrapping was used for internal validation and shrinkage to avoid overfitting. Models including psoas CSA were compared to a baseline model without psoas CSA to evaluated incremental added predictive ability. RESULTS/ANTICIPATED RESULTS: This cohort provides a basis for examining the population distribution of psoas CSA in adults 55 years and older. IN addition to a high level of agreement between the three methods of measuring psoas CSA (Spearman coefficient > 0.9), there was also high level of inter rater reliability in psoas muscle assessment (intraclass correlation 0.9). We anticipate that psoas CSA adjusted for body surface area will add the most incremental predictive ability to a model predicting in-hospital morbidity and mortality. DISCUSSION/SIGNIFICANCE OF IMPACT: Given the heterogeneity of health status amongst elderly trauma patients, a major challenge lies in the rapid objective identification of those elderly trauma patients who are frail. Due to the limitations in current frailty measures, there has been a surge of interest in surrogate markers of frailty, such as muscle mass, as predictive factors of poor outcomes after trauma.Several studies have found that sarcopenia is associated with post injury morbidity and mortality. Estimates of the prevalence of sarcopenia among trauma patients vary across studies due to differences in definition and sample characteristics. In order to appropriately categorize patients as sarcopenic, the population distribution of psoas CSA on CT must be established. The psoas measurement that best correlates with outcomes has yet to be determined, and it is unclear which measurement should be implemented in usual practice. Our main objective is to improve the outcomes of sarcopenic patients hospitalized with trauma by implementing in the future patient-centered interventions which will account for sarcopenia.
Diagnosis and classification for mental disorder are in flux. This transition has downstream consequences on the nature of clinical assessment in research and treatment settings. We begin this chapter by describing the prevailing categorical rubrics, which are the predominant guide to clinical assessment worldwide. These systems, despite their popularity, suffer from serious defects, which have prompted the development of alternate frameworks for conceptualization and assessment of psychopathology. We focus the remainder of the chapter on two prominent contenders to supplement, and perhaps eventually supplant, traditional categorical models. The Hierarchical Taxonomy of Psychopathology is an empirically derived system of the phenotypic dimensions of psychopathology and the Research Domain Criteria represent a biologically oriented approach to understanding risk processes implicated in mental disorder. We describe the promise and challenges facing these two emerging systems, and we speculate about how they will shape the future of clinical assessment.
OBJECTIVES/SPECIFIC AIMS: Aim 1: To evaluate whether psoas muscle size on CT imaging can be used as univariate predictor for increased risk of morbidity and mortality in trauma patients 65 years or older with rib fractures. Primary outcomes will be 30 day mortality. Secondary outcomes will include length of stay, 30 day readmission rate, need for operative/procedural intervention, ICU days, ventilator days, discharge to rehabilitation. Aim 2: An eventual goal of the project will be to use the results of the single variable psoas size study to inform the development of a predictive model for readmission rate in this population based on clinical variables present at admission. METHODS/STUDY POPULATION: This retrospective cohort study will utilize the Maine Trauma Registry to conduct a database review for all persons 65 years of age and older admitted to Maine Medical Center between January 1, 2015 and December 31, 2017 with rib fracture as diagnosed by CT imaging. Psoas caliber will be measured on admission CT. Patient outcomes will be assessed via EMR review. RESULTS/ANTICIPATED RESULTS: Anticipate finding a relationship between decreased psoas caliber and increase in 30 day mortality and post trauma complications. DISCUSSION/SIGNIFICANCE OF IMPACT: If a relationship is demonstrated between decreased psoas caliber and poor outcomes in elderly patients with rib fractures, this early indicator could be used to identify those patients at most risk, for whom targeted interventions may make the greatest difference. Knowing a measure of frailty could also help guide goals of care discussions, because it would allow clinicians to have a more detailed understanding of a patient’s baseline. Those patients identified as frail could be admitted to an ICU level of care and more closely monitored and treated. Alternatively, some frail patients and their families may choose to focus more on comfort and quality of life after achieving a better understanding of a patient’s frailty and risk, changing the direction of care provided. Being able to identify the higher risk patients with an objective measure would allow clinicians to provide more personalized medicine.