Faculty Bibliography

BACKGROUND/UNASSIGNED: METHODS/UNASSIGNED:case definition. VE was calculated as (1 - OR) × 100%. RESULTS/UNASSIGNED:). The adjusted population PCV13 VE was 39% (95% CI 13%-58%), and combination PCV13 and PPSV23 was 39% (95% CI 12%-58%). PPSV23 VE was -3.7% (95% CI -57% to 32%). Stratified by eGFR, adjusted PCV13 VE was consistent in eGFR ≥60 [VE 38% (95% CI 2.9%-61%)] and 30-59 [VE 61% (95% CI 24%-80%)] without significant interaction. VE was not calculable for eGFR <30 due to small sample size. CONCLUSION/UNASSIGNED:).

INTRODUCTION:Intensive weight management programs are effective but often have low enrollment and high attrition. Lack of motivation is a key psychological barrier to enrollment, engagement, and weight loss. Mental Contrasting with Implementation Intentions (MCII) is a unique imagery technique that increases motivation for behavior change. We describe our study protocol to assess the efficacy and implementation of MCII to enhance the effectiveness of VA's MOVE! or TeleMOVE! weight management programs using a procedure called "WOOP" (Wish, Outcome, Obstacle, Plan) for Veterans. We hypothesize that WOOP+MOVE! or TeleMOVE! (intervention) will lead to greater MOVE!/TeleMOVE! program engagment and consequently weight loss than MOVE!/TeleMOVE! alone (control). METHOD:Veterans are randomized to either the intervention or control. Both arms receive the either MOVE! or TeleMOVE! weight management programs. The intervention group receives an hour long WOOP training while the control group receives patient education. Both groups receive telephone follow up calls at 3 days, 4 weeks, and 2 months post-baseline. Eligible participants are Veterans (ages 18-70 years) with either obesity (BMI ≥ 30 kg/m2) or overweight (BMI ≥ 25 kg/m2) and an obesity-associated co-morbidity. At baseline, 6 and 12 months, we assess weight, diet, physical activity in both groups. The primary outcome is mean percent weight change at 6 months. Secondary outcomes include changes in waist circumference, diet, physical activity, and dieting self-efficacy and engagement in regular physical activity. We assess implementation using the RE-AIM framework. CONCLUSION:If WOOP VA is found to be efficacious, it will be an important tool to facilitate weight management and improve weight outcomes. CLINICAL TRIAL REGISTRATION:NCT05014984.

Biofeedback has Grade A evidence for the treatment of migraine, yet few studies have examined the factors associated with patients' decisions to pursue biofeedback treatment recommendations. We sought to examine reasons for adherence or non-adherence to referral to biofeedback therapy as treatment for migraine. Patients with migraine who had been referred for biofeedback by a headache specialist/behavioral neurologist were interviewed in person or via Webex. Patients completed an enrollment questionnaire addressing demographics and questions related to their headache histories. At one month, patients were sent a follow-up questionnaire via REDCap and asked if they had pursued the recommendation for biofeedback therapy, their reasons for their decision, and their impressions about biofeedback for those who pursued it. Nearly two-thirds (65%; 33/51) of patients responded at one month. Of these, fewer than half (45%, 15/33) had contacted biofeedback providers, and only 18% (6/33) completed a biofeedback session. Common themes emerged for patients who did not pursue biofeedback, including feeling that they did not have time, concern for financial obstacles (e.g., treatment cost and/or insurance coverage), and having difficulty scheduling an appointment due to limited provider availability. When asked about their preference between type of biofeedback provider (e.g., a physical therapist or psychologist), qualitative responses were mixed; many patients indicated no preference as long as they took insurance and/or were experienced, while others indicated a specific preference for a physical therapist or psychologist due to familiarity, or prior experiences with that kind of provider. Patients with migraine referred for biofeedback therapy face numerous obstacles to pursuing treatment.

BACKGROUND/UNASSIGNED:There is interest in identifying novel filtration markers that lead to more accurate GFR estimates than current markers (creatinine and cystatin C) and are more consistent across demographic groups. We hypothesize that large-scale metabolomics can identify serum metabolites that are strongly influenced by glomerular filtration rate (GFR) and are more consistent across demographic variables than creatinine, which would be promising filtration markers for future investigation. METHODS/UNASSIGNED:< -0.5), we assessed additional variation by age (height in children), sex, race and body mass index (BMI). RESULTS/UNASSIGNED:< -0.5), 27 were consistently not associated with age (height in children), sex or race. CONCLUSIONS/UNASSIGNED:The majority of metabolite-mGFR correlations were negative and consistent across sex, race, BMI and study. Metabolites with consistent strong negative correlations with mGFR and non-association with demographic variables may represent candidate markers to improve estimation of GFR.

PURPOSE/UNASSIGNED:Little is known about depression treatment for transgender and gender diverse (TGD) older adults or TGD people with disabilities. The purpose of this study was to characterize receipt of minimally recommended depression treatment and outcomes for TGD Medicare beneficiaries. METHODS/UNASSIGNED:=287,583 who qualified due to disability). We estimated disparities in outcomes between TGD and non-TGD beneficiaries (separately by original reason for Medicare eligibility: age 65+ years vs. a disability) using a rank-and-replace method to adjust for health needs. RESULTS/UNASSIGNED:<0.001). CONCLUSION/UNASSIGNED:Despite higher mental health treatment rates, TGD beneficiaries with depression in this study had more adverse mental health outcomes. Minimum recommended treatment definitions derived in general population samples may not capture complex mental health needs of specific marginalized populations.

BACKGROUND:Smoking rates among people living with behavioral health conditions (BHC) range from 30 to 65% and are 2-4 times higher than rates found in the general population. Starting tobacco treatment during a hospital stay is effective for smoking cessation, but little is known regarding treatment response among inpatients with BHC. OBJECTIVE:This study pooled data across multiple clinical trials to determine the relative success in quitting among participants with BHC compared to other study participants. PARTICIPANTS/METHODS:Adults who smoke (≥ 18 years old) from five hospital-based smoking cessation randomized clinical trials. DESIGN/METHODS:A retrospective analysis using data from the electronic health record to identify participants with primary diagnoses related to BHC. Recruitment and data analysis were conducted from 2011 to 2016. We used propensity score matching to pair patients with BHC to those with similar characteristics and logistic regression to determine differences between groups. MEASURES/METHODS:The main outcome was self-reported 30-day abstinence 6 months post-discharge. RESULTS:Of 6612 participants, 798 patients had a BHC-related primary diagnosis. The matched sample included 642 pairs. Nearly 1 in 3 reported using tobacco medications after hospitalization, with no significant difference between patients with and without BHC (29.3% vs. 31.5%; OR (95% CI) = 0.90 (0.71, 1.14), p = 0.40). Nearly 1 in 5 patients with BHC reported abstinence at 6 months; however, their odds of abstinence were 30% lower than among people without BHC (OR (95% CI) = 0.70 (0.53,0.92), p = 0.01). CONCLUSION/CONCLUSIONS:When offered tobacco treatment, hospitalized patients with BHC were as likely as people without BHC to accept and engage in treatment. However, patients with BHC were less likely to report abstinence compared to those without BHC. Hospitals are a feasible and promising venue for tobacco treatment among inpatients with BHC. More studies are needed to identify treatment approaches that help people with BHC achieve long-term abstinence.

Asymptomatic adnexal masses are commonly encountered in daily radiology practice. Although the vast majority of these masses are benign, a small subset have a risk of malignancy, which require gynecologic oncology referral for best treatment outcomes. Ultrasound, using a combination of both transabdominal, transvaginal, and duplex Doppler technique can accurately characterize the majority of these lesions. MRI with and without contrast is a useful complementary modality that can help characterize indeterminate lesions and assess the risk of malignancy is those that are suspicious. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.