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AbstractBackgroundMayo Test Drive (MTD): Test Development through Rapid Iteration, Validation and Expansion, is a web‐based platform for remote self‐administered assessment for novel (Stricker Learning Span; SLS) and open access (Symbols Test) cognitive measures. The SLS is a computer adaptive word‐list memory test that matches test difficulty to user performance. The SLS visually presents words for learning exposures and 4‐choice recognition to test encoding across 5 trials. Symbols is a measure of processing speed being used in many remote assessment studies and typically employs a burst design; in MTD participants complete 4 trials (12‐items each). We examine validity and reliability of the SLS and Symbols via MTD.MethodForty‐five women enrolled in an ongoing study of the Sex‐Specific Effects of Endocrine Disruption on Aging and Alzheimer’s Disease were recruited via email or phone. The Auditory Verbal Learning Test (AVLT) and Digit Symbol Coding (Coding), administered in person within the past 2 years (Mean=11 months), were used to establish construct validity. Participants (91.3% White, Mean age=66.2 years, Mean education=15.3 years) were emailed a link to complete the SLS and Symbols remotely at their convenience on their own device and emailed to repeat testing after approximately 1 week. Pearson correlations (n=45) and 2‐way mixed intraclass correlation coefficients (ICC; n=42) determined construct validity and test‐retest reliability, respectively. Significance was set at p<.05.ResultAcross all test sessions initiated, 97% were successfully completed. Most were completed at home (92.6%; vs. at work or in a public space), and device type varied (48% smartphone, 2% tablet, 50% PC). Median session completion time was 15 minutes. SLS learning scores (max span, total correct trials 1‐5) significantly correlated with AVLT 1‐5 total (r’s .37‐.39) and AVLT Trial 5 (r’s .51‐.52). SLS delay significantly correlated with AVLT delay (r=0.45) and recognition (r=0.61). Symbols time‐based scores averaged across trials were significantly correlated with Coding (r’s=‐.48‐(‐).50). Test‐retest reliabilities across 2 sessions were high for SLS (ICC’s=.80‐.88) and Symbols (ICC’s=.81‐.82).ConclusionSLS and Symbols are valid and reliable self‐administered remote tests in older females. Future work will examine effects of Alzheimer’s disease neuroimaging biomarkers and risk factors on these tests.

Objective This study investigated the occurrence of postictal agitation (PA) in patients undergoing an acute series of electroconvulsive therapy (ECT) and further explored patient and treatment variables associated with PA. Methods Charts were retrospectively searched for patients undergoing an acute series of ECT. Postictal agitation was identified by the administration of a sedative after ECT. Demographic, diagnostic, medication, and ECT variables that could also be associated with PA were collected and accounted for in statistical analysis. Results In this population, 22 of 156 patients experienced PA. Associations that reached statistical significance included sex, weight, active substance use disorder, seizure duration (as observed by motor movements), and waking time. Only seizure duration and waking time maintained significance after multivariable analysis. Conclusions These data identify clinical factors that could help predict PA. Patients with greater weight, male sex, or an active substance use disorder ought to be carefully monitored for PA, and staff in the recovery suite should be especially vigilant about such patients with longer seizures and waking times.

Abstract Background Decreasing pain catastrophizing and improving self-efficacy to self-manage chronic pain symptoms are important treatment targets in the context of interdisciplinary pain rehabilitation. Greater pain catastrophizing has been shown to be associated with greater impact of pain symptoms on functioning; conversely, greater pain self-efficacy has been associated with lower pain intensity and lower levels of disability. Objective To prospectively evaluate interdisciplinary pain rehabilitation outcomes, as well as to evaluate the mediating effects of both pain catastrophizing and pain self-efficacy on outcome. Methods Participants were 315 patients with chronic pain between April 2017 and April 2018 who completed a 3-week interdisciplinary pain rehabilitation program. Pain severity, pain interference, pain catastrophizing, pain self-efficacy, quality of life, depressive symptom questionnaires, and measures of physical performance were assessed before and after treatment. Follow-up questionnaires were returned by 163 participants. Effect size and reliable change analyses were conducted from pre- to posttreatment and from pretreatment to 6-month follow-up. Mediation analyses were conducted to determine the mediating effect of pain catastrophizing and pain self-efficacy on pain outcome. Results Significant improvements from pre- to posttreatment in pain outcomes were observed, and more than 80% evidenced a reliable change in at least one pain-relevant measure. Pain catastrophizing and pain self-efficacy mediated the relationship between changes in pain outcomes. Conclusions Interdisciplinary pain rehabilitation is an effective treatment, and decreasing pain catastrophizing and increasing pain self-efficacy can influence maintenance of treatment gains.

AbstractBackgroundBipolar disorder (BD) and borderline personality disorder (BPD) share overlapping phenomenology and are frequently misdiagnosed. This study investigated the diagnostic accuracy of the Mood Disorder Questionnaire (MDQ) and McLean Screening Instrument for Borderline Personality Disorder (MSI) in a clinical inpatient setting and whether individual screening items could differentiate BD from BPD.Methods757 sequential inpatients admitted to a Mood Disorder Unit completed both the MDQ and MSI. Screen positive for the MDQ was defined as ≥7/13 symptoms endorsed with concurrence and at least moderate impact. Screen positive for the MSI was defined as a score of ≥7. The clinical discharge summary diagnosis completed by a board‐certified psychiatrist was used as the reference standard to identify concordance rates of a positive screen with clinical diagnosis. Individual items predicting one disorder and simultaneously predicting absence of other disorder by odds ratio (OR>and <1) were identified.ResultsBoth screening instruments were more specific than sensitive (MDQ 83.7%/ 67.8%, MSI 73.2% / 63.3%). MDQ individual items (elevated mood, grandiosity, increased energy, pressured speech, decreased need for sleep, hyperactivity) were significant predictors of BD diagnosis and non‐predictors of BPD diagnosis. Whereas MSI subitem, self‐harm behaviors/suicidal attempts predicted BPD in the absence of BD; distrust and irritability were additional predictors of BPD.ConclusionWhile this study is limited by the lack of structured diagnostic interview, these data provide differential symptoms to discriminate BD and BPD. Further work with larger datasets and more rigorous bioinformatics machine learning methodology is encouraged to continue to identify distinguishing features of these two disorders to guide diagnostic precision and subsequent treatment recommendations.

Purpose Understanding all factors that may impact radiation dose and procedural time is crucial to safe and efficient image-guided interventions, such as fluoroscopically guided sacroiliac (SI) joint injections. The purpose of this study was to evaluate the effect of flow pattern (intra- vs. periarticular), patient age, and body mass index (BMI) on radiation dose and fluoroscopy time. Methods A total of 134 SI joint injections were reviewed. Injectate flow pattern, age, and BMI were analyzed in respect to fluoroscopy time (minutes), radiation dose (kerma area product (KAP); µGy m 2 ), and estimated skin dose (mGy). Results BMI did not affect fluoroscopy time, but increased BMI resulted in significantly higher skin and fluoroscopy doses ( p < 0.001). There was no association between fluoroscopy time and flow pattern. Higher skin dose was associated with intraarticular flow ( p = 0.0086), and higher KAP was associated with periarticular flow ( p = 0.0128). However, the odds ratios were close to 1. There was no significant difference between fluoroscopy time or dose based on patient age. Conclusion Increased BMI had the largest impact on procedural radiation dose and skin dose. Flow pattern also showed a statistically significant association with radiation dose and skin dose, but the clinical difference was small. Proceduralists should be aware that BMI has the greatest impact on fluoroscopy dose and skin dose during SI joint injections compared to other factors.

Abstract Funding Acknowledgements Type of funding sources: None. BACKGROUND Detection of immobile leaflets immediately following bioprosthetic valve implantation is a rare but important intraoperative finding. Restriction of leaflet movement can occur in the closed or open position, leading to abnormal prosthesis function. We sought to determine the clinical implications of immobile leaflets seen on intraoperative echocardiography. METHODS Patients with immobile leaflets identified on intra-operative/procedure echocardiography immediately post implantation between 2009-2020 were identified from an institutional database. All echocardiograms were reviewed de-novo to confirm immobile leaflets in the immediate post-implantation period. Identified cases were matched 1:2 to controls for age; sex; prosthesis position, model and size; and implantation approach (surgical vs. transcatheter). Nominal logistic regression and proportional hazards were used to analyze outcomes. RESULTS Thirty patients with immobile leaflets immediately post-bioprosthesis implantation were included. Clinical characteristics are summarized in the Table. Immobile leaflets were documented in procedural reports in only 18 (60%) patients. Moderate stenosis was present intraoperatively in 1 patient, none demonstrated ≥moderate regurgitation, and none resulted in immediate corrective action. In 3 (10%), valve re-intervention was required within 30 days due to symptomatic prosthesis dysfunction. Presence of restricted leaflet motion was associated with higher need for post-operative extracorporeal membrane oxygenation use (odds-ratio 7.3, p = 0.02) and composite end-point of death, valve re-replacement, prosthesis thrombosis, or cardiac hospitalizations (risk ratio 2.1, p = 0.03, Figure). CONCLUSION Immobile leaflet(s) immediately post-bioprosthetic valve implantation is an uncommon, under-reported, and under-treated phenomenon. Even in the absence of significant prosthetic valve dysfunction, it can be associated with worse post-operative course as well as worse outcomes. Baseline characteristics Age 76 (67-84) Sex, male 10 (33%) Surgical approach 25 (83%) Aortic 5 (17%) Mitral 12 (40%) Tricuspid 12 (40%) Pulmonary 1 (3%) Re-intervention within 10 days 3 (10%) Numbers are presented as median (interquartile range) or number (percentage). Abstract Figure. Clinical outcome of stuck leaflets

Abstract Objective Determine if information regarding hypertrophic cardiomyopathy (HCM) can be accurately retrieved from cardiac magnetic resonance (CMR) reports using natural language processing (NLP). Background CMR imaging is used for diagnosis and risk stratification of HCM. Manual annotation of information from CMR is time-consuming. NLP is an artificial intelligence method for automating extraction of information from narrative text. Methods We identified 200 HCM patients who had CMR reports from 1998 to 2018. These patients were randomly allocated into training (100 patients with 185 CMR reports) and testing sets (100 patients with 206 reports). An NLP system with 2 tiers was developed; the first extracted information regarding HCM diagnosis while second extracted categorical or numeric concepts for HCM classification. NLP performance was compared with gold-standard manual annotation. Results NLP algorithms achieved very high performance across all concepts with mean positive predictive value (PPV) = 0.96. An outlier was the performance for abstracting the presence of an apical pouch from CMR reports, which had noticeably lower PPV= 0.78 which be attributed to the low number of cases with this finding. Conclusions The algorithms developed can be translated to clinical decision support systems to increase efficiency and contribute to improved quality of care. Funding Acknowledgement Type of funding source: Other. Main funding source(s): Study supported by the National Heart, Lung and Blood Institute of National Institutes of Health (K01HL124045), the Mayo Clinic Center for Clinical and Translational Science (CCaTS), and the Mayo Clinic K2R award. Content is solely the responsibility of authors and does not necessarily represent official views of the National Institutes of Health.

Background: Medullary thyroid cancer (MTC) can be associated with significant morbidity and mortality in advanced cases. Hence, we aimed to identify factors at the time of MTC surgery that predict overall survival (OS), disease-specific survival (DSS), locoregional recurrence/persistence (LR), and distant metastases (DM). Methods: We performed a retrospective study of clinicopathologic, radiological, and laboratory data in MTC patients who underwent thyroidectomy at Mayo Clinic from January 1995 to December 2015. Results: We identified 163 patients (mean age 48.4 years, 48% males), 102 with sporadic MTC and 61 with hereditary disease ( n = 46 multiple endocrine neoplasia [MEN] 2A, n = 3 MEN 2B, n = 12 familial MTC) with a median follow-up time of 5.5 years. On univariate analysis, age >55 years, male sex, DM at the time of surgery (M1), lateral neck lymph node (LN) involvement (N1b), gross extrathyroidal extension (ETE), American Joint Committee on Cancer (AJCC) stage 3/4, tumor size (T) 3/4, tumor size, and postoperative calcitonin (Ctn) and carcinoembryonic antigen (CEA) were significant predictors of worse OS and DSS. On multivariable analysis, both gross ETE (hazard ratio [HR] 4.62, 6.58) and M1 (HR 5.11, 10.45) remained significant predictors of worse OS as well as DSS, while age >55 years (HR 3.21), male sex (HR 2.42), and postoperative Ctn (HR 1.002 for every 100 pg/mL increase) were significant only for worse OS. On univariate analysis, male sex, M1, N1b, gross ETE, stage 3/4, T 3/4, tumor size, number of LNs involved, and postoperative Ctn were significant predictors of LR and DM; age >55 years was additionally significant for DM. On multivariable analysis, gross ETE (HR 3.16, 5.93) and N1b (HR 4.31, 4.64) remained significant predictors of LR and DM; ratio of resected/involved LN (HR 10.91) was additionally predictive for LR and postoperative Ctn (HR 1.003 for every 100 pg/mL increase) for DM. Conclusions: Disease burden at initial surgery, especially gross ETE, lateral neck LN involvement, and DM, as well as the biochemical response to surgery appear to be more important than demographic factors in terms of MTC prognosis. These findings highlight the importance of rigorous perioperative assessment to better predict MTC outcomes.

INTRODUCTION: The purpose of this study was to find out whether 3-dimensional (3D)–printed models improved the learners' ability to identify liver segments. METHODS: A total of 116 physicians from 3 disciplines were tested in a cross-over trial at baseline and after teaching with 3D models and 2-dimensional (2D) images. Adjusted multilevel-mixed models were used to compare scores at baseline and after 3D and 2D. RESULTS: Accuracy in identifying hepatic segments was higher with 3D first than 2D (77% vs 69%; P = 0.05) and not significantly improved by a combination of 3D and 2D. Increased confidence in segment identification was highest in trainees after 3D ( P = 0.04). DISCUSSION: 3D-printed models facilitate learning hepatic segmental anatomy.