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Background: Liver donation after cardiac death (DCD) makes up a small percentage of the organs used in transplantation and poses a higher risk of graft loss compared to donation after brain death (DBD); this is a result of ischemia reperfusion for which the exact injury mechanisms are currently not fully understood. However, reperfusion injury has been shown to lead to necrosis as well as apoptosis through oxidative stress and mitochondrial dysfunction. In this work, we propose that use of the pro-survival, anti-apoptotic CEPT cocktail in post-ischemia normothermic machine perfusion (NMP) may improve recovery in rat livers subjected to extended durations of warm ischemia. Materials and Methods: Livers procured from male Lewis rats were subjected to 90 min of warm ischemia, followed by 6 h of NMP where they were treated either with the survival-enhancing anti-apoptotic cocktail (CEPT), the vehicle (DMSO) or the base media with no additives. Results: The CEPT-treated group exhibited lower expression of hepatic injury biomarkers, and improvement in a range of hepatocellular symptoms associated with the hepatic parenchyma, biliary epithelium and the sinusoidal endothelium, including recovery of bile secretion and lowered vascular resistance. Conclusions: This study's findings suggest apoptosis plays a more significant role in ischemia-reperfusion injury than previously understood, and provide useful insight for further investigation of the specific underlying mechanisms and development of novel treatment methods.

Casey L Peiris,1 Amy Gallagher,2 Nicholas F Taylor,1,3 Sionnadh McLean2 1School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia; 2Department of Allied Health Professions, Sheffield Hallam University, Sheffield, UK; 3Allied Health Clinical Research Office, Eastern Health, Box Hill, Victoria, AustraliaCorrespondence: Sionnadh McLean, Collegiate Campus, Sheffield Hallam University, L108, 36 Collegiate Crescent, Sheffield, S10 2BP, UK, Tel +447342 092 340, Email S.McLean@shu.ac.ukBackground: Exercise and physical activity interventions improve short-term outcomes for people with metabolic syndrome, but long-term improvements are reliant on sustained adherence to lifestyle change for effective management of the syndrome. Effective ways of improving adherence to physical activity and exercise recommendations in this population are unknown. This systematic review aims to determine which interventions enhance adherence to physical activity and/or exercise recommendations for people with metabolic syndrome.Methods: Electronic databases MEDLINE, PubMed, CINAHL, SPORTdiscuss and ProQuest were searched to July 2022. Risk of bias was assessed using the Cochrane risk of bias tool and overall certainty of evidence assessed using the Grading of Recommendation Assessment, Development and Evaluation approach.Results: Four randomized controlled trials with 428 participants (mean age 49– 61 years) were included. There was very low certainty evidence from two trials that goal setting interventions may improve adherence to physical activity recommendations over three to six months. There was low certainty evidence from two trials that self-monitoring and feedback interventions increased adherence to physical activity interventions over 12 months for people with metabolic syndrome.Conclusion: Clinicians and researchers may consider using behavior change strategies such as goal setting, monitoring and feedback in interventions for people with metabolic syndrome to increase adherence to physical activity and exercise recommendations over 3 to 12 months, but high-quality evidence is lacking.Keywords: metabolic syndrome, adherence, long-term condition, behavior change, physical activity, exercise

Laila El Haddad,1 Casey L Peiris,2 Nicholas F Taylor,2,3 Sionnadh McLean1 1Department of Allied Health Professions, Sheffield Hallam University, Sheffield, UK; 2School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia; 3Allied Health Clinical Research Office, Eastern Health, Box Hill, Victoria, AustraliaCorrespondence: Sionnadh McLean, Collegiate Campus, Sheffield Hallam University, L108, 36 Collegiate Crescent, Sheffield, S10 2BP, UK, Tel +447342 092 340, Email S.McLean@shu.ac.ukBackground: Long-term adherence to exercise or physical activity (EPA) is necessary for effective first-line management of metabolic syndrome (MetS). Little is known about the determinants of adherence in this population. This systematic review aims to identify the determinants of adherence to EPA in people with MetS.Methods: Six databases (MEDLINE, CINAHL Complete, PubMed, PsycINFO, SPORTDiscus, and Cochrane Central Register of Controlled Trials (CENTRAL)) were searched for studies published before April 26, 2021. Primary research studies investigating factors affecting EPA adherence in adults with MetS in outpatient settings were included. Risk of bias was assessed using the QUIPS (Quality in Prognostic Factor Studies) and CASP (Critical Appraisal Skills Program) tools, for quantitative and qualitative methodologies, respectively.Results: Four quantitative studies (n = 766) and one qualitative (n = 21) study were included in the review, evaluating 34 determinants of adherence to EPA in MetS. Limited evidence was found for an association between ten determinants and non-adherence to EPA: lower self-rated health, lower baseline EPA, lower high-density lipoprotein cholesterol (HDL-C), fewer walk-friendly routes within 1 km, less consciousness raising, lower self-re-evaluation, lower self-liberation, reporting more arguments against EPA (cons), lower social support, and fewer positive psychological constructs. There was limited evidence of no association or conflicting evidence for the remaining 24 determinants.Conclusion: A small number of included studies, most of low methodological quality, resulted in limited confidence in the findings for all determinants. The identified determinants associated with non-adherence are all potentially modifiable, thus further high-quality studies are required to increase confidence in the determinants of EPA in people with MetS, and test interventions.Keywords: adherence, long-term condition, behavior change

AIMS: Childhood adversities (CAs) predict heightened risks of posttraumatic stress disorder (PTSD) and major depressive episode (MDE) among people exposed to adult traumatic events. Identifying which CAs put individuals at greatest risk for these adverse posttraumatic neuropsychiatric sequelae (APNS) is important for targeting prevention interventions. METHODS: Data came from n = 999 patients ages 18-75 presenting to 29 U.S. emergency departments after a motor vehicle collision (MVC) and followed for 3 months, the amount of time traditionally used to define chronic PTSD, in the Advancing Understanding of Recovery After Trauma (AURORA) study. Six CA types were self-reported at baseline: physical abuse, sexual abuse, emotional abuse, physical neglect, emotional neglect and bullying. Both dichotomous measures of ever experiencing each CA type and numeric measures of exposure frequency were included in the analysis. Risk ratios (RRs) of these CA measures as well as complex interactions among these measures were examined as predictors of APNS 3 months post-MVC. APNS was defined as meeting self-reported criteria for either PTSD based on the PTSD Checklist for DSM-5 and/or MDE based on the PROMIS Depression Short-Form 8b. We controlled for pre-MVC lifetime histories of PTSD and MDE. We also examined mediating effects through peritraumatic symptoms assessed in the emergency department and PTSD and MDE assessed in 2-week and 8-week follow-up surveys. Analyses were carried out with robust Poisson regression models. RESULTS: Most participants (90.9%) reported at least rarely having experienced some CA. Ever experiencing each CA other than emotional neglect was univariably associated with 3-month APNS (RRs = 1.31-1.60). Each CA frequency was also univariably associated with 3-month APNS (RRs = 1.65-2.45). In multivariable models, joint associations of CAs with 3-month APNS were additive, with frequency of emotional abuse (RR = 2.03; 95% CI = 1.43-2.87) and bullying (RR = 1.44; 95% CI = 0.99-2.10) being the strongest predictors. Control variable analyses found that these associations were largely explained by pre-MVC histories of PTSD and MDE. CONCLUSIONS: Although individuals who experience frequent emotional abuse and bullying in childhood have a heightened risk of experiencing APNS after an adult MVC, these associations are largely mediated by prior histories of PTSD and MDE.

Heterogeneity and comorbidity are two interwoven challenges associated with various healthcare problems that greatly hampered research on developing effective treatment and understanding of the underlying neurobiological mechanism. Very few studies have been conducted to investigate heterogeneous causal effects (HCEs) in graphical contexts due to the lack of statistical methods. To characterize this heterogeneity, we first conceptualize heterogeneous causal graphs (HCGs) by generalizing the causal graphical model with confounder-based interactions and multiple mediators. Such confounders with an interaction with the treatment are known as moderators. This allows us to flexibly produce HCGs given different moderators and explicitly characterize HCEs from the treatment or potential mediators on the outcome. We establish the theoretical forms of HCEs and derive their properties at the individual level in both linear and nonlinear models. An interactive structural learning is developed to estimate the complex HCGs and HCEs with confidence intervals provided. Our method is empirically justified by extensive simulations and its practical usefulness is illustrated by exploring causality among psychiatric disorders for trauma survivors. Code implementing the proposed algorithm is open-source and publicly available at: https://github.com/richard-watson/ISL.

Understanding social network structures can contribute to the introduction of new HIV prevention strategies with socially marginalized populations like transgender women (TW). We conducted 20 semi-structured interviews and four focus groups (n = 32) with TW from selected social networks in Lima, Peru between May and July, 2015. Participants described layers of social influence from diverse actors in their social networks. The majority identified a close relative as their primary social support, with whom they confided secrets but avoided issues of transgender identity, sexuality, and sex work. Participants described close circles of TW friends with whom they shared information about gender identity, body modification, and sexual partners, but avoided issues like HIV. Community leadership included political leaders (who advocated for transgender rights) as well as social leaders (who introduced TW to hormone therapy, body modification, and commercial sex). Detailed analysis of TW social networks can contribute to implementation and acceptability of new HIV prevention technologies.

Road transport is experiencing disruptive change from new first-of-a-kind technologies. While such technologies offer safety and operational benefits, they also pose new risks. It is critical to proactively identify risks during the design, development and testing of new technologies. The Systems Theoretic Accident Model and Processes (STAMP) method analyses the dynamic structure in place to manage safety risks. This study applied STAMP to develop a control structure model for emerging technologies in the Australian road transport system and identified control gaps. The control structure shows the actors responsible for managing risks associated with first-of-a-kind technologies and the existing control and feedback mechanisms. Gaps identified related to controls (e.g. legislation) and feedback mechanisms (e.g. monitoring for behavioural adaptation). The study provides an example of how STAMP can be used to identify control structure gaps requiring attention to support the safe introduction of new technologies. This paper considers emerging risks associated with new technologies in the road transport system. It demonstrates a novel approach using STAMP to identify gaps in control and feedback mechanisms within the existing control structure which should be addressed to mitigate risk. [ABSTRACT FROM AUTHOR]

Background: Racial and ethnic groups in the USA differ in the prevalence of posttraumatic stress disorder (PTSD). Recent research however has not observed consistent racial/ethnic differences in posttraumatic stress in the early aftermath of trauma, suggesting that such differences in chronic PTSD rates may be related to differences in recovery over time. Methods: As part of the multisite, longitudinal AURORA study, we investigated racial/ethnic differences in PTSD and related outcomes within 3 months after trauma. Participants (n = 930) were recruited from emergency departments across the USA and provided periodic (2 weeks, 8 weeks, and 3 months after trauma) self-report assessments of PTSD, depression, dissociation, anxiety, and resilience. Linear models were completed to investigate racial/ethnic differences in posttraumatic dysfunction with subsequent follow-up models assessing potential effects of prior life stressors. Results: Racial/ethnic groups did not differ in symptoms over time; however, Black participants showed reduced posttraumatic depression and anxiety symptoms overall compared to Hispanic participants and White participants. Racial/ethnic differences were not attenuated after accounting for differences in sociodemographic factors. However, racial/ethnic differences in depression and anxiety were no longer significant after accounting for greater prior trauma exposure and childhood emotional abuse in White participants. Conclusions: The present findings suggest prior differences in previous trauma exposure partially mediate the observed racial/ethnic differences in posttraumatic depression and anxiety symptoms following a recent trauma. Our findings further demonstrate that racial/ethnic groups show similar rates of symptom recovery over time. Future work utilizing longer time-scale data is needed to elucidate potential racial/ethnic differences in long-term symptom trajectories. [ABSTRACT FROM AUTHOR]

Describes the development and implementation of the Arizona post-tenure review policy, with particular emphasis on the Arizona State University experience. This policy had to balance the different expectations of the Arizona Board of Regents, the faculty, and university administration. Outlines communication strategies used in negotiations with regents and faculty groups. (Author/DB)