Introduction: Second-generation antipsychotics are widely used in psychiatry but are associated with weight gain. Obesity is more prevalent in mental illness and may contribute to the mortality gap. Non-pharmacological management of antipsychotic-induced weight gain (AIWG) has limited success whilst pharmacological treatment typically involves antidiabetic medications that psychiatrists have less experience with. Recent developments in the field have shown promise with using centrally-acting opioid receptor antagonists (CORAs) at treating AIWG.

Objective: Review and synthesise the available RCT evidence on the efficacy of CORAs at treating AIWG.

Methodology: Four databases (Medline, Embase, PsycINFO, Cochrane) were searched, from database inception to present, for RCTs using CORAs (naloxone, naltrexone, samidorphan) to reduce AIWG. Our primary outcome sought was weight change in kilograms, with secondary outcomes of change in percentage of body weight, waist circumference and 7% or 10% weight change thresholds. We used random-effects meta-analysis due to study heterogeneity.

A total of 450 articles were found (319 post-deduplication), of which seven met criteria (samidorphan = 4, naltrexone = 3, naloxone = 0) including n = 1,416 patients. On meta-analysis, change in body weight (kg) for CORAs as a class was statistically significant (RE = 1.37 kg; 95% CI: 0.51, 2.24). However, change in BMI was not statistically significant (RE = 0.61kg/m2; 95% CI: −0.56, 1.78). Remaining analysis was only available for samidorphan, which showed statistically significant improvement in change in body weight (%) (RE = 1.81%; 95% CI: 1.07, 2.55), absolute risk of weight gain ≥7% (RE = 12.41%; 95% CI: 6.55, 18.27), absolute risk of weight gain ≥10% (RE = 10.83%; 95% CI: 5.46, 16.21), and change in waist circumference (RE = 1.50 cm; 95% CI: 0.32, 2.67).

Evidence is strongest for samidorphan, though CORAs as a class remains poorly researched and the benefits are modest. Additionally, samidorphan is currently only available in the combination medication olanzapine-samidorphan and the literature reflects this. Further research is needed to examine its efficacy in AIWG from other antipsychotics.

Ward rounds are complex clinical interactions crucial in delivering high-quality, safe, and timely patient care. They serve as a platform for the multidisciplinary team to collaboratively assess a patient's condition and actively involve the patient and their caregivers in shared decision-making to formulate a care plan. Ward rounds involve an intersection of factors worthy of consideration separate from the wider literature on inpatient experience and multidisciplinary team meetings. With this review our primary aim is to systematically identify what methods and perspectives researchers are using to understand ward rounds.

The databases searched were Medline, CINAHL, British Nursing Index, PsychInfo, and ASSIA as well as reference and citation checking. The search terms used were psychiatr* AND (ward round OR “multi disciplinary team meeting” OR “clinical team meeting”). Studies were included if they were peer reviewed, included primary research on psychiatric inpatient ward rounds in which patients are participants with no restriction on the type of ward or hospital, patient group, country or methodology.

224 records were retrieved and screened from the database search and 10 from other sources. 35 full texts were reviewed for eligibility and 26 included in the review. 16 studies had no particular theoretical perspective, 2 were constructivist, 2 critical realist, 2 lean methodology, 1 systems research, 1 phenomenological, 1 trauma informed and 1 critical theory. 9 focussed on patient experience, 5 ward round structure, 3 on power relationships, 3 on efficiency, 2 on shared decision making and 4 had a unique focus. Though often not explicit, critical theory influenced discussion of power is common in papers focused on patient experience and ward round structure. Cross-sectional surveys, interviews, focus groups and audit cycles were the most common methods. Key themes which emerge are anxiety provoked by ward rounds, preparation and communication, and the negotiation of power structures. Key tensions identified include being multidisciplinary versus overcrowding, efficiency versus personalisation and reliability versus responsiveness.

For a central part of inpatient psychiatric practice there is a limited range of research on psychiatric ward rounds. The influence of critical theories’ focus on power was widespread with limited representation of other theoretical perspectives and concerns. There was no research using experimental methods, but there was some implementation research. Key tensions are highlighted which services may wish to consider when revisiting ways of working on inpatient psychiatric wards.

Many available facepiece filtering respirators contain ferromagnetic components, which may cause significant problems in the magnetic resonance imaging (MRI) environment. We conducted a randomized crossover trial to assess the effectiveness, usability, and comfort of 3 types of respirators, judged to be “conditionally MRI safe” with an aluminum nosepiece (Halyard 46727 duckbill-type respirators and Care Essentials MSK-002 bifold cup-type respirators) or “MRI safe” completely metal free (Eagle AG2200 semirigid cup-type respirators).

We recruited 120 participants to undergo a quantitative fit test (QNFT) on each of the 3 respirators in a randomized order. Participants then completed a usability and comfort assessment of each respirator.

There were significant differences in the QNFT pass rates (51% for Halyard 46727, 73% for Care Essentials MSK-002, and 86% for Eagle AG2200, P < .001). The first-time fit test pass rate and overall fit factor were significantly higher for Eagle AG2200 compared with the other 2 respirators. Eagle AG2200 scored the lowest ratings in the ease of use and overall comfort. There were no significant differences in other modalities, including the seal rating, breathability, firmness, and overall assessment.

Our study supports the utility of the Eagle AG2200 and Care Essentials MSK-002 respirators for healthcare professionals working in an MRI environment, based on their high QNFT pass rates and reasonably good overall usability and comfort scores. Eagle AG2200 is unique because of its metal-free construction. However, its comparatively lower usability and comfort ratings raise questions about practicality, which may be improved by greater user training.

This study investigates the impact of primary care utilisation of a symptom-based head and neck cancer risk calculator (Head and Neck Cancer Risk Calculator version 2) in the post-coronavirus disease 2019 period on the number of primary care referrals and cancer diagnoses.

The number of referrals from April 2019 to August 2019 and from April 2020 to July 2020 (pre-calculator) was compared with the number from the period January 2021 to August 2022 (post-calculator) using the chi-square test. The patients’ characteristics, referral urgency, triage outcome, Head and Neck Cancer Risk Calculator version 2 score and cancer diagnosis were recorded.

In total, 1110 referrals from the pre-calculator period were compared with 1559 from the post-calculator period. Patient characteristics were comparable for both cohorts. More patients were referred on the cancer pathway in the post-calculator cohort (pre-calculator patients 51.1 per cent vs post-calculator 64.0 per cent). The cancer diagnosis rate increased from 2.7 per cent in the pre-calculator cohort to 3.3 per cent in the post-calculator cohort. A lower rate of cancer diagnosis in the non-cancer pathway occurred in the cohort managed using the Head and Neck Cancer Risk Calculator version 2 (10 per cent vs 23 per cent, p = 0.10).

Head and Neck Cancer Risk Calculator version 2 demonstrated high sensitivity in cancer diagnosis. Further studies are required to improve the predictive strength of the calculator.

Traumatic brain injury is one of several recognized risk factors for cognitive decline and neurodegenerative disease. Currently, risk scores involving modifiable risk/protective factors for dementia have not incorporated head injury history as part of their overall weighted risk calculation. We investigated the association between the LIfestyle for BRAin Health (LIBRA) risk score with odds of mild cognitive impairment (MCI) diagnosis and cognitive function in older former National Football League (NFL) players, both with and without the influence of concussion history.

Former NFL players, ages ≥ 50 (N=1050; mean age=61.1±5.4-years), completed a general health survey including self-reported medical history and ratings of function across several domains. LIBRA factors (weighted value) included cardiovascular disease (+1.0), hypertension (+1.6), hyperlipidemia (+1.4), diabetes (+1.3), kidney disease (+1.1), cigarette use history (+1.5), obesity (+1.6), depression (+2.1), social/cognitive activity (-3.2), physical inactivity (+1.1), low/moderate alcohol use (-1.0), healthy diet (-1.7). Within Group 1 (n=761), logistic regression models assessed the association of LIBRA scores and independent contribution of concussion history with the odds of MCI diagnosis. A modified-LIBRA score incorporated concussion history at the level planned contrasts showed significant associations across concussion history groups (0, 1-2, 3-5, 6-9, 10+). The weighted value for concussion history (+1.9) within the modified-LIBRA score was based on its proportional contribution to dementia relative to other LIBRA risk factors, as proposed by the 2020 Lancet Commission Report on Dementia Prevention. Associations of the modified-LIBRA score with odds of MCI and cognitive function were assessed via logistic and linear regression, respectively, in a subset of the sample (Group 2; n=289) who also completed the Brief Test of Adult Cognition by Telephone (BTACT). Race was included as a covariate in all models.

The median LIBRA score in the Group 1 was 1.6(IQR= -1, 3.6). Standard and modified-LIBRA median scores were 1.1(IQR= -1.3, 3.3) and 2(IQR= -0.4, 4.6), respectively, within Group 2. In Group 1, LIBRA score was significantly associated with odds of MCI diagnosis (odds ratio[95% confidence interval]=1.27[1.19, 1.28], p <.001). Concussion history provided additional information beyond LIBRA scores and was independently associated with odds of MCI; specifically, odds of MCI were higher among those with 6-9 (Odds Ratio[95% confidence interval]; OR=2.54[1.21, 5.32], p<.001), and 10+ (OR=4.55;[2.21, 9.36], p<.001) concussions, compared with those with no prior concussions. Within Group 2, the modified-LIBRA score was associated with higher odds of MCI (OR=1.61[1.15, 2.25]), and incrementally improved model information (0.04 increase in Nagelkerke R2) above standard LIBRA scores in the same model. Modified-LIBRA scores were inversely associated with BTACT Executive Function (B=-0.53[0.08], p=.002) and Episodic Memory scores (B=-0.53[0.08], p=.002).

Numerous modifiable risk/protective factors for dementia are reported in former professional football players, but incorporating concussion history may aid the multifactorial appraisal of cognitive decline risk and identification of areas for prevention and intervention. Integration of multi-modal biomarkers will advance this person-centered, holistic approach toward dementia reduction, detection, and intervention.

It has been posited that alcohol use may confound the association between greater concussion history and poorer neurobehavioral functioning. However, while greater alcohol use is positively correlated with neurobehavioral difficulties, the association between alcohol use and concussion history is not well understood. Therefore, this study investigated the cross-sectional and longitudinal associations between cumulative concussion history, years of contact sport participation, and health-related/psychological factors with alcohol use in former professional football players across multiple decades.

Former professional American football players completed general health questionnaires in 2001 and 2019, including demographic information, football history, concussion/medical history, and health-related/psychological functioning. Alcohol use frequency and amount was reported for three timepoints: during professional career (collected retrospectively in 2001), 2001, and 2019. During professional career and 2001 alcohol use frequency included none, 1-2, 3-4, 5-7 days/week, while amount included none, 12, 3-5, 6-7, 8+ drinks/occasion. For 2019, frequency included never, monthly or less, 2-4 times/month, 2-3 times/week, >4 times/week, while amount included none, 1-2, 3-4, 5-6, 7-9, 10+ drinks/occasion. Scores on a screening measure for Alcohol Use Disorder (CAGE) were also available at during professional career and 2001 timepoints. Concussion history was recorded in 2001 and binned into five groups: 0, 1-2, 3-5, 6-9, 10+. Depression and pain interference were assessed via PROMIS measures at all timepoints. Sleep disturbance was assessed in 2001 via separate instrument and with PROMIS Sleep Disturbance in 2019. Spearman’s rho correlations tested associations between concussion history and years of sport participation with alcohol use across timepoints, and whether poor health functioning (depression, pain interference, sleep disturbance) in 2001 and 2019 were associated with alcohol use both within and between timepoints.

Among the 351 participants (Mage=47.86[SD=10.18] in 2001), there were no significant associations between concussion history or years of contact sport participation with CAGE scores or alcohol use frequency/amount during professional career, 2001, or 2019 (rhos=-.072-.067, ps>.05). In 2001, greater depressive symptomology and sleep disturbance were related to higher CAGE scores (rho=.209, p<.001; rho=.176, p<.001, respectively), while greater depressive symptomology, pain interference, and sleep disturbance were related to higher alcohol use frequency (rho=.176, p=.002; rho=.109, p=.045; rho=.132, p=.013, respectively) and amount/occasion (rho=.215, p<.001; rho=.127, p=.020; rho=.153, p=.004, respectively). In 2019, depressive symptomology, pain interference, and sleep disturbance were not related to alcohol use (rhos=-.047-.087, ps>.05). Between timepoints, more sleep disturbance in 2001 was associated with higher alcohol amount/occasion in 2019 (rho=.115, p=.036).

Increased alcohol intake has been theorized to be a consequence of greater concussion history, and as such, thought to confound associations between concussion history and neurobehavioral function later in life. Our findings indicate concussion history and years of contact sport participation were not significantly associated with alcohol use cross-sectionally or longitudinally, regardless of alcohol use characterization. While higher levels of depression, pain interference, and sleep disturbance in 2001 were related to greater alcohol use in 2001, they were not associated cross-sectionally in 2019. Results support the need to concurrently address health-related and psychological factors in the implementation of alcohol use interventions for former NFL players, particularly earlier in the sport discontinuation timeline.

Face-to-face administration is the “gold standard” for both research and clinical cognitive assessments. However, many factors may impede or prevent face-to-face assessments, including distance to clinic, limited mobility, eyesight, or transportation. The COVID19 pandemic further widened gaps in access to care and clinical research participation. Alternatives to face-to-face assessments may provide an opportunity to alleviate the burden caused by both the COVID-19 pandemic and longer standing social inequities. The objectives of this study were to develop and assess the feasibility of a telephone- and video-administered version of the Uniform Data Set (UDS) v3 cognitive batteries for use by NIH-funded Alzheimer’s Disease Research Centers (ADRCs) and other research programs.

Ninety-three individuals (M age: 72.8 years; education: 15.6 years; 72% female; 84% White) enrolled in our ADRC were included. Their most recent adjudicated cognitive status was normal cognition (N=44), MCI (N=35), mild dementia (N=11) or other (N=3). They completed portions of the UDSv3 cognitive battery, plus the RAVLT, either by telephone or video-format within approximately 6 months (M:151 days) of their annual in-person visit, where they completed the same in-person cognitive assessments. Some measures were substituted (Oral Trails for TMT; Blind MoCA for MoCA) to allow for phone administration. Participants also answered questions about the pleasantness, difficulty level, and preference for administration mode. Cognitive testers provided ratings of perceived validity of the assessment. Participants’ cognitive status was adjudicated by a group of cognitive experts blinded to most recent inperson cognitive status.

When results from video and phone modalities were combined, the remote assessments were rated as pleasant as the inperson assessment by 74% of participants. 75% rated the level of difficulty completing the remote cognitive assessment the same as the in-person testing. Overall perceived validity of the testing session, determined by cognitive assessors (video = 92%; phone = 87.5%), was good. There was generally good concordance between test scores obtained remotely and in-person (r = .3 -.8; p < .05), regardless of whether they were administered by phone or video, though individual test correlations differed slightly by mode. Substituted measures also generally correlated well, with the exception of TMT-A and OTMT-A (p > .05). Agreement between adjudicated cognitive status obtained remotely and cognitive status based on in-person data was generally high (78%), with slightly better concordance between video/in-person (82%) vs phone/in-person (76%).

This pilot study provided support for the use of telephone- and video-administered cognitive assessments using the UDSv3 among individuals with normal cognitive function and some degree of cognitive impairment. Participants found the experience similarly pleasant and no more difficult than inperson assessment. Test scores obtained remotely correlated well with those obtained in person, with some variability across individual tests. Adjudication of cognitive status did not differ significantly whether it was based on data obtained remotely or in-person. The study was limited by its’ small sample size, large test-retest window, and lack of randomization to test-modality order. Current efforts are underway to more fully validate this battery of tests for remote assessment. Funded by: P30 AG072947 & P30 AG049638-05S1

Traumatic brain injury and cardiovascular disease (CVD) are modifiable risk factors for cognitive decline and dementia. Greater concussion history can potentially increase risk for cerebrovascular changes associated with cognitive decline and may compound effects of CVD. We investigated the independent and dynamic effects of CVD/risk factor burden and concussion history on cognitive function and odds of mild cognitive impairment (MCI) diagnoses in older former National Football League (NFL) players.

Former NFL players, ages 50-70 (N=289; mean age=61.02±5.33 years), reported medical history and completed the Brief Test of Adult Cognition by Telephone (BTACT). CVD/risk factor burden was characterized as ordinal (0-3+) based on the sum of the following conditions: coronary artery disease/myocardial infarction, chronic obstructive pulmonary disease, hypertension, hyperlipidemia, sleep apnea, type-I and II diabetes. Cognitive outcomes included BTACT Executive Function and Episodic Memory Composite Z-scores (standardized on age- and education-based normative data), and the presence of physician diagnosed (self-reported) MCI. Concussion history was discretized into five groups: 0, 1-2, 3-5, 6-9, 10+. Linear and logistic regression models were fit to test independent and joint effects of concussion history and CVD burden on cognitive outcomes and odds of MCI. Race (dichotomized as White and Non-white due to sample distribution) was included in models as a covariate.

Greater CVD burden (unstandardized beta [standard error]; B=-0.10[0.42], p=.013, and race (B=0.622[0.09], p<.001), were associated with lower executive functioning. Compared to those with 0 prior concussions, no significant differences were observed for those with 1-2, 3-5, 6-9, or 10+ prior concussions (ps >.05). Race (B=0.61[.13], p<.001), but not concussion history or CVD burden, was associated with episodic memory. There was a trend for lower episodic memory scores among those with 10+ prior concussion compared to those with no prior concussions (B=-0.49[.25], p=.052). There were no significant differences in episodic memory among those with 1-2, 3-5, or 6-9 prior concussions compared to those with 0 prior concussions (ps>.05). CVD burden (B=0.35[.13], p=.008), race (greater odds in Non-white group; B=0.82[.29], p=.005), and greater concussion history (higher odds of diagnosis in 10+ group compared to those with 0 prior concussions; B=2.19[0.78], p<.005) were associated with higher odds of MCI diagnosis. Significant interaction effects between concussion history and CVD burden were not observed for any outcome (ps >.05).

Lower executive functioning and higher odds of MCI diagnosis were associated with higher CVD burden and race. Very high concussion history (10+) was selectively associated with higher odds of MCI diagnosis. Reduction of these modifiable factors may mitigate adverse outcomes in older contact sport athletes. In former athletes, consideration of CVD burden is particularly pertinent when assessing executive dysfunction, considered to be a common cognitive feature of traumatic encephalopathy syndrome, as designated by the recent diagnostic criteria. Further research should investigate the social and structural determinants contributing to racial disparities in long-term health outcomes within former NFL players.

There is a pressing need for sensitive, non-invasive indicators of cognitive impairment in those at risk for Alzheimer’s disease (AD). One group at an increased risk for AD is APOEε4 carriers. One study found that cognitively normal APOEε4 carriers are less likely to produce low frequency (i.e., less common) words on semantic fluency tasks relative to non-carriers, but this finding has not yet been replicated. This study aims to replicate these findings within the Wake Forest ADRC clinical core population, and examine whether these findings extend to additional semantic fluency tasks.

This sample includes 221 APOEε4 non-carriers (165 females, 56 males; 190 White, 28 Black/African American, 3 Asian; Mage = 69.55) and 79 APOEε4 carriers (59 females, 20 males; 58 White, 20 Black/African American, 1 Asian; Mage = 65.52) who had been adjudicated as cognitively normal at baseline. Semantic fluency data for both the animal task and vegetable task was scored for total number of items as well as mean lexical frequency (attained via the SUBTLEXus database). Demographic variables and additional cognitive variables (MMSE, MoCA, AMNART scores) were also included from the participants’ baseline visit.

APOEε4 carriers and non-carriers did not differ on years of education, AMNART scores, or gender (ps > 0.05). APOEε4 carriers were slightly younger and included more Black/African American participants (ps < 0.05). Stepwise linear regression was used to determine the variance in total fluency score and mean lexical frequency accounted for by APOEε4 status after including relevant demographic variables (age, sex, race, years of education, and AMNART score). As expected, demographic variables accounted for significant variance in total fluency score (p < 0.0001). Age accounted for significant variance in total fluency score for both the animal task (ß = -0.32, p <0.0001) and the vegetable task (ß = -0.29, p < 0.0001), but interestingly, not the lexical frequency of words produced. After accounting for demographic variables, APOEε4 status did not account for additional variance in lexical frequency for either fluency task (ps > 0.05). Interestingly, APOEε4 status was a significant predictor of total words for the vegetable semantic fluency task only (ß = 0.13, p = 0.01), resulting in a model that accounted for more variance (R2 = 0.25, F(6, 292) = 16.11, p < 0.0001) in total words than demographic variables alone (R2 = 0.23, F(5, 293) = 17.75, p < 0.0001).

Unsurprisingly, we found that age, AMNART, and education were significant predictors of total word fluency. One unexpected finding was that age did not predict the lexical frequency - that is - regardless of age, participants tended to retrieve words of the same lexical frequency, which stands in contrast to the notion that retrieval efficiency of infrequent words declines with age. With regard to APOEε4, we did not replicate existing work demonstrating differences in lexical frequency and semantic fluency tasks for ε4 carriers and non-carriers; possibly due to differences in the demographic characteristics of the sample.