Opioid Risk Tool, in-hospital opioid exposure, and opioid demand predict pain outcomes following traumatic injury.

Prescribed opioids are a mainstay pain treatment after traumatic injury, but a subgroup of patients may be at risk for continued opioid use. We evaluated the predictive utility of a traditional screening tool, the Opioid Risk Tool (ORT), and two other measures: average in-hospital milligram morphine equivalents (MME) per day and an assessment of opioid demand in predicting pain outcomes. Assessments of pain-related outcomes (pain intensity, interference, injury-related stress, and need for additional pain treatment) were administered at 2 weeks and 12 months post-discharge in a sample of 34 patients hospitalized for traumatic injury. Bayesian linear models were used to evaluate changes in responses over time as a function of predictors. High-risk ORT, higher MME per day, and greater opioid demand predicted less change in outcomes over time. This report provides first evidence that malleable factors of opioid and opioid demand have utility in predicting pain outcomes following traumatic injury.

'Joining the Dots: Linking Prenatal Drug Exposure to Childhood and Adolescence' - research protocol of a population cohort study.

INTRODUCTION: Prenatal drug exposure (PDE) is one of the most important causes of child harm, but comprehensive information about the long-term outcomes of the families is difficult to ascertain. The Joining the Dots cohort study uses linked population data to understand the relationship between services, therapeutic interventions and outcomes of children with PDE. METHODS AND ANALYSIS: Information from routinely collected administrative databases was linked for all births registered in New South Wales (NSW), Australia between 1 July 2001 and 31 December 2020 (n=1 834 550). Outcomes for seven mutually exclusive groups of children with varying prenatal exposure to maternal substances of addiction, including smoking, alcohol, prescription/illicit drugs and neonatal abstinence syndrome will be assessed. Key exposure measures include maternal drug use type, maternal social demographics or social determinants of health, and maternal physical and mental health comorbidities. Key outcome measures will include child mortality, academic standardised testing results, rehospitalisation and maternal survival. Data analysis will be conducted using Stata V.18.0. ETHICS AND DISSEMINATION: Approvals were obtained from the NSW Population and Health Services Research Ethics Committee (29 June 2020; 2019/ETH12716) and the Australian Capital Territory Health Human Research Ethics Committee (11 October 2021; 2021-1231, 2021-1232, 2021-1233); and the Aboriginal Health and Medical Research Council (5 July 2022; 1824/21), and all Australian educational sectors: Board of Studies (government schools), Australian Independent Schools and Catholic Education Commission (D2014/120797). Data were released to researchers in September 2022. Results will be presented in peer-reviewed academic journals and at international conferences. Collaborative efforts from similar datasets in other countries are welcome.

Reliability and validity of the PROMIS-29 health profile in Ankylosing Spondylitis patients: A cross-sectional study.

The Patient-Reported Outcomes Measurement Information System 29-Item Health Profile (PROMIS-29) is a generic measure of health-related quality of life that is not well-studied in Ankylosing Spondylitis (AS) patients. Our objective was to investigate the reliability and validity of the PROMIS-29 in AS. About 169 consecutive AS patients were enrolled from 2017 to 2022 with 167/169 patients fully completing the PROMIS-29 in this cross-sectional study. Test-retest reliability and internal consistency was assessed using intraclass correlation coefficients (ICC) and Cronbach alpha, respectively. We studied structural validity with confirmatory factor analysis (CFA) of our hypothesized and general population models. We evaluated model fit by Chi-squared goodness-of-fit-test (χ2), comparative fit index, and root mean square error of approximation. A χ2 test was used to compare nested models. PROMIS-29 convergent validity was studied by Spearman correlation coefficients with AS-legacy measures. PROMIS-29 domains showed good test-retest reliability (intraclass correlation coefficients (ICC) > 0.7) and excellent internal consistency with Cronbach alpha > 0.9 in all subscales. CFA of only the general population model met our model fit cutoffs (χ2 goodness-of-fit P-value of 0.21, comparative fit index of 0.99, and root mean square error of approximation of 0.05). Furthermore, a nested χ2 test was not significantly different between our hypothesized (full) and general (reduced) model [χ2 (1) = 0.754, P > .38]. AS legacy measures showed a strong correlation (rho > |0.7|) with the extracted physical health factor. The PROMIS-29 demonstrated good reliability and construct validity in AS patients with the general population model. Further study is required to determine its clinical and research utility in AS patients.

Program Directors' Perspectives on Residency Applications in the Post‒United States Medical Licensing Examination Step 1 Era: A Case for Standardized Letters of Recommendation?

INTRODUCTION: The United States Medical Licensing Examination (USMLE) Step 1 test evolved into a key metric utilized by program directors (PDs) in assessing candidates for residency. The transition to a USMLE Step 1 binary pass/fail scoring system has resulted in a loss of an important objective assessment. With national movements toward pass/fail systems for clerkship grading and trends toward abandonment of class ranking, assessing residency applications has become increasingly challenging. METHODS: The Society of Academic Urologists convened a task force to, in part, assess the perspectives of urology PDs regarding the importance of various aspects of a residency application for predicting clinical performance. An anonymous survey was disseminated to all urology PDs in the US. Perspectives on 11 potential application predictors of clinical performance and demographics were recorded. Descriptive statistics characterized PD responses. Friedman test and pairwise Wilcoxon tests were used to evaluate the relative ranks assigned to application elements by PDs. RESULTS: There was a 60.5% response rate (89/147). Letters of recommendation (LORs) were ranked as the most important predictor, with a mean rank of 2.39, median of 2 (IQR 1-3). Clerkship grades and USMLE Step 1 were comparable and ranked second. Medical school reputation ranked the lowest. There was significant subjective heterogeneity among categories; however, this was less so for LORs, which predominated as the most important factor among application elements (P < .001). CONCLUSIONS: To our knowledge, this is the largest sample size assessing PD perspectives on application factors that predict clinical performance. The second (clerkship grades) and third (USLME Step 1) most important factors moving toward binary pass/fail systems create an opportunity for actionable change to improve assessment objectivity. Our data demonstrate LORs to be the most important factor of residency applications, making a compelling argument for moving toward a standardized LOR to maximize this tool, mitigate bias, and improve interreviewer reliability.

Deep sequencing of candidate genes identified 14 variants associated with smoking abstinence in an ethnically diverse sample.

Despite the large public health toll of smoking, genetic studies of smoking cessation have been limited with few discoveries of risk or protective loci. We investigated common and rare variant associations with success in quitting smoking using a cohort from 8 randomized controlled trials involving 2231 participants and a total of 10,020 common and 24,147 rare variants. We identified 14 novel markers including 6 mapping to genes previously related to psychiatric and substance use disorders, 4 of which were protective (CYP2B6 (rs1175607105), HTR3B (rs1413172952; rs1204720503), rs80210037 on chr15), and 2 of which were associated with reduced cessation (PARP15 (rs2173763), SCL18A2 (rs363222)). The others mapped to areas associated with cancer including FOXP1 (rs1288980) and ZEB1 (rs7349). Network analysis identified significant canonical pathways for the serotonin receptor signaling pathway, nicotine and bupropion metabolism, and several related to tumor suppression. Two novel markers (rs6749438; rs6718083) on chr2 are flanked by genes associated with regulation of bodyweight. The identification of novel loci in this study can provide new targets of pharmacotherapy and inform efforts to develop personalized treatments based on genetic profiles.

Contingency management plus acceptance and commitment therapy for initial cocaine abstinence: Results of a sequential multiple assignment randomized trial (SMART).

BACKGROUND: This study tested an adaptive intervention for optimizing abstinence outcomes over phases of treatment for cocaine use disorder using a SMART design. Phase 1 assessed whether 4 weeks of contingency management (CM) improved response with the addition of Acceptance and Commitment Therapy (ACT). Phase 2 assessed pharmacological augmentation with modafinil (MOD) vs. placebo (PLA) for individuals not achieving abstinence during Phase 1. METHOD: For Phase 1 of treatment, participants (N=118) were randomly allocated to ACT+CM or Drug Counseling (DC+CM), the comparison condition. At week 4, treatment response was defined as the submission of six consecutive cocaine-negative urine drug screens (UDS). Phase 1 non-responders were re-randomized to MOD or PLA as adjunct to their initial treatment. Phase 1 responders continued receiving their initial treatment. Primary outcomes included response rate and proportion of cocaine-negative UDS for Phase 1 and 2. Analyses used Bayesian inference with 80% pre-specified as the posterior probability (PP) threshold constituting moderate evidence that an effect exists. RESULTS: Phase 1 response was higher in the ACT+CM group (24.5%) compared to the DC+CM group (17.5%; PP = 84.5%). In Phase 2, the proportion of cocaine-negative UDS among Phase 1 responders did not differ by initial treatment (PP = 61.8%) but remained higher overall compared to Phase 1 non-responders (PPs > 99%). No evidence of an effect favoring augmentation with MOD was observed. DISCUSSION: Adding ACT to CM increased abstinence initiation. Initial responders were more likely to remain abstinent compared to initial non-responders, for whom modafinil was not an effective pharmacotherapy augmentation strategy.

Comparison of Energy Budget of Cockroach Nymph (Hemimetabolous) and Hornworm (Holometabolous) under Food Restriction.

Animals with different life histories budget their intake energy differently when food availability is low. It has been shown previously that hornworm (larva of Manduca sexta), a holometabolous insect species with a short development stage, prioritizes growth at the price of metabolism under food restriction, but it is unclear how hemimetabolous insect species with a relatively long development period budget their intake energy under food scarcity. Here, we use orange head cockroaches (Eublaberus posticus) to investigate this question. We found that for both species under food restriction, rates of metabolism and growth were suppressed, but the degree of reduction was more severe in growth than that of metabolism for cockroaches. Under both free-feeding and food restriction conditions, hornworms allocated a larger fraction of assimilated energy to growth than to metabolism, and cockroaches were the opposite. More importantly, when food availability was low, the fraction of assimilated energy allocated to growth was reduced by 120% in cockroaches, and the energy from growth was channeled to compensate for the reduction in metabolism; but, the fraction of assimilated energy allocated to growth was only reduced by 14% in hornworms. These results suggest that, compared to hornworms, cockroaches prioritize metabolism over growth.

Will you go the distance? A satisfaction survey of telemedicine in sexual medicine.

Background: The success of telemedicine depends on patient satisfaction with the care that they receive, which is impacted by the ease of use of the technology, quality of the connection, and perceived effectiveness of care. Aim: The study sought to evaluate patient satisfaction with telemedicine services in a high-volume andrology clinic. Methods: We included all patients who had a telemedicine appointment between January 1, 2020, and August 22, 2022. Demographic information was gathered, and a satisfaction survey was conducted using REDCap software. Data were grouped into 2 age categories, with ≥50 years as the cutoff (19-50 years; >50 years). The data were analyzed according to age, distance from the patient's home to our center, and survey responses. Pearson's chi-square test and ordinal logistic regression analyses were performed. Outcomes: The main outcome is satisfaction with telemedicine in a men's sexual health context. Results: A total of 4071 patients were identified based on attending a telemedicine visit. Hypogonadism was the most common diagnosis. Other diagnoses included erectile dysfunction, varicocele, Peyronie's disease, vasectomy, and infertility. In total, 613 patients completed the survey, with a mean age of 56.6 years. Older patients were less likely to prefer telemedicine (odds ratio [OR], 0.55; 95% confidence interval [CI], 0.36-0.80; P < .001), less likely to agree to a video visit because of privacy concerns (OR, 0.51; 95% CI, 0.35-0.75; P < .001), and less likely to recommend a telemedicine visit compared with their younger counterparts (OR, 0.37; 95% CI, 0.27-0.51; P < .001). The median distance was 22.4 (interquartile range, 7.5-57.5) miles. However, there was no significant association between distance and patients' likelihood of preferring telehealth visits, including reviews of outside laboratories and imaging (OR, 1; 95% CI, 0.99-1; P = .35), belief in the quality of care provided via video visits (OR, 0.99, CI 0.99-1; P = .25), and overall preference for telehealth visits (OR, 0.99; 95% CI, 0.99-1; P = .35). Clinical Implications: Healthcare providers should consider the age of patients when deciding to offer telemedicine while addressing privacy concerns to provide adequate reassurance to patients who may have concerns about the quality of care provided through telemedicine. Strengths and Limitations: Our study achieved a substantial sample size that reached statistical significance. Conducted at a single academic center, our study was constrained, possibly introducing biases related to the institution's advanced telemedicine system. Geographic and diagnostic limitations could lead to regional biases, affecting the generalizability of the findings. Conclusion: Older patients exhibited a lower inclination toward preferring telemedicine, along with decreased odds of endorsing in-person visits.

A retrospective examination of pain in acute stroke at hospital discharge.

OBJECTIVES: Pain is an overlooked sequela of stroke. Persistent pain after stroke is an underrecognized experience and significantly impacts survivors' function, ability to participate in rehabilitation, and quality of life. The aim of this retrospective, observational study is to examine the incidence of pain at the acute hospitalization period immediately after stroke, to identify the characteristics of those reporting pain at discharge, and to compare pain reporting between stroke and non-stroke hospital controls. MATERIALS AND METHODS: Using discharge diagnosis, this retrospective review examined self- reports of pain during acute hospitalization for stroke compared to those with COPD (control group) admitted during the same time in the same facilities. Variables of interest included age, gender, body mass index (BMI), length of stay, pain assessment score (numeric rating scale [NRS], behavior pain scale [BPS], and medication administration record pain score total [MAR]), smoking history, prevalence of hypertension and race. 821 subjects were included from a total of three campuses from one large hospital system. 772 subjects were included in the comparative analysis with COPD patients from the same facilities during the same time. RESULTS: 43% of patients diagnosed with stroke reported pain at discharge. For stroke survivors reporting pain at discharge, the average BMI was higher (p=0.009), average arrival NIHSS was higher (p=0.044), and mean hospital length of stay was longer (p<0.001). CONCLUSIONS: The evidence demonstrated in this study highlights the critical need for the implementation of targeted objective pain assessment and effective pain interventions for stroke survivors beginning at initial hospitalization.

An opioid-minimizing multimodal pain regimen reduces opioid exposure and pain in trauma-injured patients at high risk for opioid misuse: Secondary analysis from the mast trial.

BACKGROUND: Screening to identify patients at risk for opioid misuse after trauma is recommended but not commonly used to guide perioperative opioid management interventions. The Multimodal Analgesic Strategies for Trauma trial demonstrated that an opioid-minimizing multimodal pain regimen reduced opioid exposure in a heterogeneous trauma patient population. Here, we assess the efficacy of the Multimodal Analgesic Strategies for Trauma multimodal pain regimen in a critical patient subgroup who screened at high risk for opioid misuse. METHODS: The Multimodal Analgesic Strategies for Trauma trial compared an opioid-minimizing multimodal pain regimen (oral acetaminophen, naproxen, gabapentin, lidocaine patch, as-needed opioid) against an original multimodal pain regimen (intravenous followed by oral acetaminophen, 48-hour celecoxib and pregabalin, followed by naproxen and gabapentin, scheduled tramadol, as-needed opioid), in a randomized trial conducted from April 2018 to March 2019. A total of 631 enrolled patients were classified either as low- or high-risk via the Opioid Risk Tool. Bayesian analyses evaluated the moderating influence of Opioid Risk Tool risk (high/low) on the effect of Multimodal Analgesic Strategies for Trauma multimodal pain regimen (versus original) on opioid exposure (morphine milligram equivalents/day), opioids prescribed at discharge, and pain scores. RESULTS: Multimodal Analgesic Strategies for Trauma multimodal pain regimen effectively reduced morphine milligram equivalents/day in low- and high-Opioid Risk Tool risk groups. Moderation was observed for opioids at discharge and pain scores; Multimodal Analgesic Strategies for Trauma multimodal pain regimen was effective in the high-risk group only (opioids at discharge: 63% vs 77%, relative risk = 0.86, 95% Bayesian credible interval [0.66-1.08], posterior probability (relative risk <1) = 90%; pain scores: b = 3.8, 95% Bayesian credible interval [3.2-4.4] vs b = 4.0, 95% Bayesian credible interval [3.4-4.6], posterior probability (b <0) = 87%). CONCLUSION: This study is the first to show the moderating influence of opioid misuse risk on the effectiveness of an opioid-minimizing multimodal pain regimen. The Opioid Risk Tool was useful in identifying high-risk patients for whom the Multimodal Analgesic Strategies for Trauma multimodal pain regimen is recommended for perioperative pain management.

Comparable cigarette consumption data collected using timeline follow-back and digital diary among treatment-seeking smokers.

OBJECTIVE: The timeline follow-back interview is a common method of collecting daily cigarette consumption (cigarettes per day [CPD]) in smoking research. However, it may be subject to recall bias due to its reliance on retrospective reports. The increasing ownership of smartphones allows researchers to administer app-based digital diaries (DD) to collect CPD, which is expected to have less recall bias. Several studies have compared these two methods and found a noticeable discrepancy between them. However, these studies have mainly focused on the time window when smokers were smoking ad libitum. In this study, we wanted to determine the comparability of these two methods when treatment-seeking smokers are attempting to quit smoking. METHOD: In a cessation trial, treatment-seeking smokers (n = 251) reported their CPD using the timeline follow-back and DD methods over a 12-week treatment period. To evaluate the comparability, we used the Bland-Altman comparison approach for agreement, correlational analysis between CPD and biochemical measures, digit bias, and logistic regression for predicting abstinence. RESULTS: We found that the two methods exhibited good agreement, and the agreement did not vary as a function of consumption levels. Consistent with this agreement, CPD data from both methods showed similar correlations with biochemical measures of smoking and predicted 6-month abstinence in a comparable fashion. Despite the agreement, the DD method appeared to be more precise by having a lower digit bias than the timeline follow-back method. CONCLUSIONS: Capturing smoking behavior using either TLFB or DD approaches yields similar data while smokers are attempting to quit smoking. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Use of term reference infants in assessing the developmental outcome of extremely preterm infants: lessons learned in a multicenter study.

OBJECTIVE: Extremely preterm (EP) impairment rates are likely underestimated using the Bayley III norm-based thresholds scores and may be better assessed relative to concurrent healthy term reference (TR) infants born in the same hospital. STUDY DESIGN: Blinded, certified examiners in the Neonatal Research Network (NRN) evaluated EP survivors and a sample of healthy TR infants recruited near the 2-year assessment age. RESULTS: We assessed 1452 EP infants and 183 TR infants. TR-based thresholds showed higher overall EP impairment than Bayley norm-based thresholds (O.R. = 1.86; [95% CI 1.56-2.23], especially for severe impairment (36% vs. 24%; p ≤ 0.001). Difficulty recruiting TR patients at 2 years extended the study by 14 months and affected their demographics. CONCLUSION: Impairment rates among EP infants appear to be substantially underestimated from Bayley III norms. These rates may be best assessed by comparison with healthy term infants followed with minimal attrition from birth in the same centers. GOV ID: Term Reference (under the Generic Database Study): NCT00063063.

Deficits in consummatory reward relate to severity of cocaine use.

BACKGROUND AND AIMS: Identifying modifiable neuropsychological factors associated with more severe CUD could improve CUD treatment. Impairments in processing of non-drug rewards may be one such factor. This study assessed the relationship between reward functioning and cocaine use severity using multi-modal measures of three distinct reward functions: consummatory reward (pleasure or "liking"); motivational reward ("wanting") and reward learning. METHODS: Fifty-three adults with at least moderate CUD completed self-report and behavioral measures of consummatory reward, motivational reward and reward learning, and a composite cocaine use severity measure including quantity, frequency and life impacts of cocaine use. We conducted parallel Frequentist and Bayesian multiple regressions with measures of reward functioning as predictors of cocaine use severity. RESULTS: Less self-reported ability to experience pleasure, a hypothesized measure of consummatory reward, significantly predicted greater severity after adjustment for covariates and multiple hypothesis testing, ß = 0.39, t(38) = 2.86, p = 0.007. Bayesian analyses confirmed a highly likely association between severity and ability to experience pleasure, and provided moderate evidence for associations with willingness to exert effort and reward learning. CONCLUSIONS: Our results suggest that less experience of subjective pleasure is related to greater cocaine use severity. This cross-sectional study cannot establish whether differences in consummatory reward are pre-existing, a result of CUD, or both. However, these results suggest interventions focused on increasing subjective pleasure, such as mindful "savoring", should be investigated for CUD.

Establishing a pediatric acute stroke protocol: experience of a new pediatric stroke program and predictors of acute stroke.

Introduction: Pediatric stroke is among the top 10 causes of death in pediatrics. Rapid recognition and treatment can improve outcomes in select patients, as evidenced by recent retrospective studies in pediatric thrombectomy. We established a collaborative protocol involving the vascular neurology and pediatric neurology division in our institution to rapidly diagnose and treat pediatric suspected stroke. We also prospectively collected data to attempt to identify predictors of acute stroke in pediatric patients. Methods: IRB approval was obtained to prospectively collect clinical data on pediatric code stroke activations based on timing metrics in resident-physician note templates. The protocol emphasized magnetic resonance imaging over computed tomography imaging when possible. We analyzed performance of the system with descriptive statistics. We then performed a Bayesian statistical analysis to search for predictors of pediatric stroke. Results: There were 40 pediatric code strokes over the 2.5-year study period with a median age of 10.8 years old. 12 (30%) of patients had stroke, and 28 (70%) of code stroke patients were diagnosed with a stroke mimic. Median time from code stroke activation to completion of imaging confirming or ruling out stroke was 1 h. In the Bayesian analysis, altered mental status, hemiparesis, and vasculopathy history were associated with increased odds of stroke, though credible intervals were wide due to the small sample size. Conclusion: A trainee developed and initiated pediatric acute stroke protocol quickly implemented a hospital wide change in management that led to rapid diagnosis and triage of pediatric stroke and suspected stroke. No additional personnel or resources were needed for this change, and we encourage other hospitals and emergency departments to implement similar systems. Additionally, hemiparesis and altered mental status were predictors of stroke for pediatric acute stroke activation in our Bayesian statistical analysis. However credible intervals were wide due to the small sample size. Further multicenter data collection could more definitively analyze predictors of stroke, as well as the help in the creation of diagnostic tools for clinicians in the emergency setting.

Medical-Legal Partnership Effects on Mental Health, Health Care Use, and Quality of Life in Primary Care: A Randomized Clinical Trial.

PURPOSE: To determine whether an immediate referral to a medical-legal partnership (MLP), compared with a 6-month waitlist control, improved mental health, health care use, and quality of life. METHODS: This trial randomly assigned individuals to an immediate referral or a wait-list control. The MLP involved a collaboration between the primary care clinic and a legal services organization. The primary outcome was stress (6 months) as measured by the Perceived Stress Scale (PSS). Secondary measures included the Center for Epidemiologic Studies Depression Scale; Generalized Anxiety Disorder scale (GAD-7); Patient-Reported Outcomes Measurement Information System (PROMIS); and emergency department (ED), urgent care, and hospital visits. Assessments were at baseline and 3-, 6-, and 9-month follow-ups. Bayesian statistical inference and a 75% posterior probability threshold were used to identify noteworthy differences. RESULTS: Immediate referral was associated with lower PSS scores and higher GAD-7 scores. PROMIS scores were higher for the immediate referral group with respect to several subdomains. At 6 months, the immediate referral group demonstrated 21% fewer ED visits and 75.6% more hospital visits. CONCLUSION: Immediate referral to the MLP was associated with lower stress and a lower rate of ED visits but higher anxiety and a higher rate of hospital visits. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03805126.

Bayesian regularization to predict neuropsychiatric adverse events in smoking cessation with pharmacotherapy.

BACKGROUND: Research on risk factors for neuropsychiatric adverse events (NAEs) in smoking cessation with pharmacotherapy is scarce. We aimed to identify predictors and develop a prediction model for risk of NAEs in smoking cessation with medications using Bayesian regularization. METHODS: Bayesian regularization was implemented by applying two shrinkage priors, Horseshoe and Laplace, to generalized linear mixed models on data from 1203 patients treated with nicotine patch, varenicline or placebo. Two predictor models were considered to separate summary scores and item scores in the psychosocial instruments. The summary score model had 19 predictors or 26 dummy variables and the item score model 51 predictors or 58 dummy variables. A total of 18 models were investigated. RESULTS: An item score model with Horseshoe prior and 7 degrees of freedom was selected as the final model upon model comparison and assessment. At baseline, smokers reporting more abnormal dreams or nightmares had 16% greater odds of experiencing NAEs during treatment (regularized odds ratio (rOR) = 1.16, 95% credible interval (CrI) = 0.95 - 1.56, posterior probability P(rOR > 1) = 0.90) while those with more severe sleep problems had 9% greater odds (rOR = 1.09, 95% CrI = 0.95 - 1.37, P(rOR > 1) = 0.85). The prouder a person felt one week before baseline resulted in 13% smaller odds of having NAEs (rOR = 0.87, 95% CrI = 0.71 - 1.02, P(rOR < 1) = 0.94). Odds of NAEs were comparable across treatment groups. The final model did not perform well in the test set. CONCLUSIONS: Worse sleep-related symptoms reported at baseline resulted in 85%-90% probability of being more likely to experience NAEs during smoking cessation with pharmacotherapy. Treatment for sleep disturbance should be incorporated in smoking cessation program for smokers with sleep disturbance at baseline. Bayesian regularization with Horseshoe prior permits including more predictors in a regression model when there is a low number of events per variable.

Assessing cocaine motivational value: Comparison of brain reactivity bias toward cocaine cues and cocaine demand.

The behavioral economic measure drug demand and the neural measure late positive potential (LPP) are two measures of motivational value that have been associated with drug relapse risk and treatment outcomes. Despite having overlapping themes, no studies have directly compared drug demand and LPP. Participants (N = 59) included treatment-seeking individuals with cocaine use disorder that had completed both a baseline cocaine demand task and an electroencephalogram (EEG) picture-viewing task of drug-related and pleasant picture cues. Associations between the LPP difference score amplitude (drug-pleasant) and five demand indices (Q0, essential value [EV], Omax, Pmax, and breakpoint [BP]) were evaluated via Bayesian generalized linear modeling. Positive associations (posterior probabilities ≥ 75%) were found between LPP amplitude and four demand indices (Q0, EV, Omax, BP). These results suggest that individuals who attach greater relevance to cocaine cues also exhibit greater valuation of cocaine reward. Implications for incorporating methodology from behavioral science and brain imaging are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

N-of-1 Trials vs. Usual Care in Children With Hypertension: A Pilot Randomized Clinical Trial.

BACKGROUND: Blood pressure (BP) is often inadequately controlled in children treated for hypertension, and personalized (n-of-1) trials show promise for tailoring treatment choices. We assessed whether patients whose treatment choices are informed by an n-of-1 trial have improved BP control compared to usual care. METHODS: A randomized clinical trial was conducted in a pediatric hypertension clinic in Houston from April 2018 to September 2020. Hypertensive adolescents and young adults 10-22 years old were randomized 1:1 to a strategy of n-of-1 trial using ambulatory BP monitoring to inform treatment choice or usual care, with treatment selected by physician preference. The primary outcome was the proportion of patients with ambulatory BP control at 6 months in a Bayesian analysis. RESULTS: Among 49 participants (23 randomized to n-of-1 trials and 26 to usual care), mean age was 15.6 years. Using skeptical priors, we found a 69% probability that n-of-1 trials increased BP control at 6 months (Bayesian odds ratio (OR) 1.24 (95% credible interval (CrI) 0.51, 2.97), and 74% probability using neutral informed priors (OR 1.45 (95% CrI 0.48, 4.53)). Systolic BP was reduced in both groups, with a 93% probability of greater reduction in the n-of-1 trial group (mean difference between groups = -3.6 mm Hg (95% CrI -8.3, 1.28). There was no significant difference in side effect experience or caregiver satisfaction. CONCLUSIONS: Among hypertensive adolescents and young adults, n-of-1 trials with ambulatory BP monitoring likely increased the probability of BP control. A large trial is needed to assess their use in clinical practice. CLINICALTRIALS.GOV: NCT03461003. CLINICAL TRIAL REGISTRY: ClinicalTrials.gov; NCT03461003.

Detection of Stroke with Retinal Microvascular Density and Self-Supervised Learning Using OCT-A and Fundus Imaging.

Acute cerebral stroke is a leading cause of disability and death, which could be reduced with a prompt diagnosis during patient transportation to the hospital. A portable retina imaging system could enable this by measuring vascular information and blood perfusion in the retina and, due to the homology between retinal and cerebral vessels, infer if a cerebral stroke is underway. However, the feasibility of this strategy, the imaging features, and retina imaging modalities to do this are not clear. In this work, we show initial evidence of the feasibility of this approach by training machine learning models using feature engineering and self-supervised learning retina features extracted from OCT-A and fundus images to classify controls and acute stroke patients. Models based on macular microvasculature density features achieved an area under the receiver operating characteristic curve (AUC) of 0.87-0.88. Self-supervised deep learning models were able to generate features resulting in AUCs ranging from 0.66 to 0.81. While further work is needed for the final proof for a diagnostic system, these results indicate that microvasculature density features from OCT-A images have the potential to be used to diagnose acute cerebral stroke from the retina.