Blunt Trauma Massive Transfusion (B-MaT) Score: A Novel Scoring Tool.

BACKGROUND: Multiple tools predicting massive transfusion (MT) in trauma have been developed but utilize variables that are not immediately available. Additionally, they only differentiate blunt from penetrating trauma and do not account for the large range of blunt mechanisms and their difference in force. We aimed to develop a Blunt trauma Massive Transfusion (B-MaT) score that accounts for high-risk blunt mechanisms and predicts MT needs in blunt trauma patients (BTPs) prior to arrival. MATERIALS AND METHODS: The adult 2017 Trauma Quality Improvement Program database was used to identify BTPs who were divided into 2 sets at random (derivation/validation). First, multiple logistic regression models were created to determine risk factors of MT (≥6 units of PRBCs within 4-hours or ≥10 units within 24-hours). Next, the weighted average and relative impact of each independent predictor was used to derive a B-MaT score. Finally, the area under the receiver-operating curve (AROC) was calculated. RESULTS: Of 172,423 patients in the derivation-set, 1,160 (0.7%) required MT. Heart rate ≥ 120bpm, systolic blood pressure ≤ 90mmHg, and high-risk blunt mechanisms were identified as independent predictors for MT. B-MaT scores were derived ranging from 0 -9, with scores of 6, 7, and 9 yielding a MT rate of 11.7%, 19.4%, and 32.4%, respectively. The AROC was 0.86. The validation-set had an AROC of 0.85. CONCLUSIONS: B-MaT is a novel scoring tool that predicts need for MT in BTPs and can be calculated prior to arrival. B-MaT warrants prospective validation to confirm its accuracy and assess its ability to improve patient outcomes and blood product allocation.

Why does children's temperamental exuberance increase their vulnerability to externalizing symptoms? A process-oriented approach.

This study examined children's exposure to family adversity, hostile reactivity to parental conflict, and negative family representations as mediators of the prospective relation between their temperamental exuberance and externalizing symptoms. Participants included 243 preschool children (Mage = 4.60 years; 56% girls) and parents (48% Black; 16% Latinx) in a multi-method and multi-informant study with three annual measurement occasions. Structural equation model results specifically supported children's hostile reactivity to parental conflict and negative family representations as mediators. Exuberance predicted residualized increases in children's hostile reactivity and negative family representations over a 1-year period. In turn, children's hostile reactivity and negative family representations predicted their greater externalizing symptoms 1 year later after controlling for prior externalizing symptoms. Results are discussed in the context of their relation and refinement of temperamental models of developmental psychopathology.

Explaining the Association between Early Adversity and Young Adults' Diabetes Outcomes: Physiological, Psychological, and Behavioral Mechanisms.

Previous studies have documented that early adversity increases young adults' risk for diabetes resulting in morbidity and comorbidity with adverse health conditions. However, less is known about how inter-related physiological (e.g., body mass index [BMI]), psychological (e.g., depressive symptoms), and behavioral mechanisms (e.g., unhealthy eating and sedentary behavior) link early adversity to young adults' diabetes outcomes, although these mechanisms appear to stem from early stressful experiences. The current study tested the patterning of these longitudinal pathways leading to young adults' diabetes using a nationally representative sample of 13,286 adolescents (54% female) over a period of 13 years. The findings indicated that early adversity contributed to elevated BMI, depressive symptoms, and stress-related health behaviors. The impact of these linking mechanisms on hierarchical diabetes outcomes (i.e., prediabetes and diabetes) remained significant after taking their associations with each other into account, showing that these mechanisms operate concurrently. The findings emphasize the importance of early detection for risk factors of young adults' diabetes in order to minimize their detrimental health effects.

Childhood psychopathology in children of women with eating disorders: understanding risk mechanisms.

BACKGROUND: Very few studies have investigated psychopathology in children of mothers with eating disorders (ED). We aimed to determine the effect of maternal ED on childhood psychopathology in a large population-based cohort and investigate relevant risk pathways using structural equation modeling (SEM). METHODS: Data on emotional and behavioral problems at 3½ years were obtained prospectively on 8,622 children from the Avon Longitudinal Study of Parents and Children (ALSPAC). Children of exposed women who self-reported lifetime anorexia nervosa (AN, N = 193) or bulimia nervosa (BN, N = 158) in pregnancy were compared with children of unexposed women (N = 8,271) using linear and logistic regression models. SEM was used to determine best-fitting risk models by child gender. RESULTS: There was evidence that girls of AN women were more likely to have emotional, conduct, and hyperactivity disorders [Odds Ratio (OR): 1.7 (95% Confidence Intervals 1.0-3.0); OR: 2.2 (1.2-4.0); OR: 1.8 (1.1-3.1), respectively] and boys of AN women to have emotional disorders compared with unexposed [OR: 2.0(1.2-3.4)]. Girls of women with BN were more likely to show hyperactivity [OR: 1.7 (1.0-3.1)]; and boys to show emotional and conduct disorders compared with unexposed [OR: 2.2 (1.2-3.9); OR: 2.4 (1.4-4.2), respectively]. SEM models showed that pregnancy anxiety and depression mediated the effect of maternal ED on child psychopathology. CONCLUSIONS: Maternal ED are associated with different childhood psychopathology outcomes in boys and girls. Pregnancy anxiety and depression and active ED symptoms are important mediators of risk and are preventable; the direct effect of maternal lifetime ED was small.

A Qualitative Study Identifying the Potential Risk Mechanisms Leading to Hospitalization for Patients With Chronic Lung Disease.

BACKGROUND: Care management programs for chronic lung disease attempt to reduce hospitalizations, yet have not reliably achieved this goal. A key limitation of many programs is that they target patients with characteristics associated with hospitalization risk, but do not specifically modify the mechanisms that lead to hospitalization. RESEARCH QUESTION: What are the common mechanisms underlying known patient-level risk characteristics leading to hospitalizations for acute exacerbations of chronic lung disease? STUDY DESIGN AND METHODS: We conducted a qualitative study of patients admitted to the University of Pennsylvania Health System with acute exacerbations of chronic lung disease between January and September 2019. We interviewed patients, their family caregivers, and their inpatient and outpatient clinicians about experiences leading up to the hospitalization. We analyzed the interview transcripts using triangulation and abductive analytic methods. RESULTS: We conducted 69 interviews focused on the admission of 22 patients with a median age of 66 years (interquartile range, 60-70 years), of whom 16 patients (73%) were female and 14 patients (64%) were Black. We interviewed 22 patients, 14 caregivers, 19 inpatient clinicians, and 14 outpatient clinicians. We triangulated the available interview data for each patient admission and identified the underlying mechanisms of how several known patient characteristics associated with risk actually led to hospitalization. These mechanisms included limited capacity for home management of acute symptom changes, barriers to accessing care, chronic functional limitations, and comorbid behavioral health disorders. Importantly, many of the clinical, social, and behavioral mechanisms underlying hospitalizations were present for months or years before the symptoms that prompted inpatient care. INTERPRETATION: Care management programs should be built to target specific clinical, social, and behavioral mechanisms that directly lead to hospitalization. Upstream interventions that reduce hospitalization risk are possible given that many contributory mechanisms are present for months or years before the onset of acute exacerbations.