UNASSIGNED: Obstructive coronary artery disease (CAD) is common in patients with severe symptomatic aortic stenosis. The management and impact of obstructive CAD in patients undergoing transcatheter aortic valve replacement (TAVR) have not been fully evaluated. We aimed to determine the patient characteristics and clinical outcomes among veterans undergoing TAVR with and without obstructive CAD and to determine temporal trends and association of pre-TAVR percutaneous coronary intervention (PCI) with clinical outcomes.
UNASSIGNED: We identified all patients who underwent TAVR from 2012 to 2021 in the VA Health Care System. The sample population was divided into patients with and without obstructive CAD and further stratified by coronary intervention status 1 year prior to TAVR. The primary outcome was 1-year all-cause mortality, and the secondary outcome was major bleeding.
UNASSIGNED: During the study period, 759 patients underwent TAVR, and 282 (37%) had obstructive CAD. Obstructive CAD was associated with higher 1-year mortality (15.6% vs 7.1%; P < .01) after TAVR. The rate of PCI prior to TAVR increased from 2012 until 2016, after which it steadily declined such that 144 patients (51%) underwent PCI pre-TAVR during the entire study period. There was no difference in 1-year mortality (16.0% vs 15.2%; P = .89) or bleeding (16.7% vs 12.3%; P = .33) between patients who underwent or did not undergo pre-TAVR PCI.
UNASSIGNED: Among veterans undergoing TAVR, the presence of obstructive CAD is associated with higher mortality though pre-TAVR coronary intervention is not associated with improved outcomes. Further studies could identify a subset of patients who may benefit from coronary revascularization prior to TAVR.

UNASSIGNED: Given the negative consequences associated with a penicillin allergy label, broader penicillin allergy delabeling initiatives are highly desirable but hindered by the shortage of allergists in the United States. To address this problem at our facility, the infectious diseases section introduced a quality improvement initiative to evaluate and remove allergy labels among inpatient veterans.
UNASSIGNED: Between 15 November 2022 and 15 December 2023, we identified inpatients with a penicillin allergy label. We subsequently interviewed eligible candidates to stratify penicillin allergy risk and attempt to remove the allergy label directly via chart review, following inpatient oral amoxicillin challenge or outpatient community care allergy referral. Delabeling outcomes, subsequent penicillin-class prescriptions, and relabeling were tracked after successful allergy label removal.
UNASSIGNED: We screened 272 veterans, of whom 154 were interviewed for this intervention. A total of 53 patients were delabeled: 26 directly, 23 following oral amoxicillin challenge, and 4 following outpatient allergy referrals. Of the patients who were delabeled, 25 received subsequent penicillin-class prescriptions. No adverse reactions occurred following inpatient oral amoxicillin challenges. Patients with a low-risk penicillin allergy history were more likely to undergo a challenge if admitted with an infectious diseases-related condition. Only 1 inappropriate relabeling event occurred during the study period, which was subsequently corrected.
UNASSIGNED: An infectious diseases provider-led initiative resulted in penicillin allergy label removal in more than one third of inpatients evaluated using direct removal or oral amoxicillin challenge. Efforts focused on patients who had been admitted for infections were particularly successful.

UNASSIGNED: A subset of laryngeal squamous cell carcinoma (LSCC) patients undergoing larynx preserving treatment ultimately require total laryngectomy (TL) for oncologic or functional reasons. This study aims to identify TL risk factors in these patients.
UNASSIGNED: Retrospective cohort study using Veterans Affairs (VA) database. T1-T4 LSCC cases treated with primary radiotherapy (XRT) or chemoradiotherapy (CRT) were assessed for TL and recurrence. Binary logistic and Cox regression and Kaplan-Meier analyses were implemented.
UNASSIGNED: Of 5390 cases, 863 (16.0%) underwent TL. On multivariable analysis, age (adjusted odds ratio: 0.97 [0.96-0.98]; p < .001) and N3 disease (0.42 [0.18-1.00]; p = .050) were associated with reduced risk of TL, whereas current alcohol use (1.22 [1.04-1.43]; p = .015) and >T1 disease (T2, 1.76 [1.44-2.17]; p < .001; T3, 2.06 [1.58-2.68]; p < .001; T4, 1.79 [1.26-2.53]; p = .001) were associated with increased risk of TL. However, N2 (adjusted hazard ratio: 1.30 [1.10-1.55]; p = .003) and N3 (2.02 [1.25-3.26]; p = .004) disease were associated with an increased risk for local recurrence. Compared to XRT, treatment with CRT was associated with reduced risk for local recurrence after adjusting for other factors (0.84 [0.70-0.99]; p = .044). Those who do not receive TL following local recurrence have poorer disease-specific survival (log-rank, p < .001). In patients without local recurrence, N2 disease was associated with a fourfold increase in risk of TL (4.24 [1.83-9.82]; p < .001).
UNASSIGNED: Advanced nodal stage was associated with reduced rates of salvage TL in the setting of local recurrence, and subsequent worse prognosis after recurrence. Conversely, advanced nodal stage may increase the risk for functional salvage TL in patients without recurrence.
UNASSIGNED: Level 3.

UNASSIGNED: Veterans diagnosed with mental health and/or substance use disorders (SUD) often face significant barriers to employment and reintegration into civilian society. In the current study, we investigated whether how the VA healthcare system for mental health and/or SUD treatment predicted program enrollment into vocational rehabilitation, simultaneous mental health and/or SUD treatment while enrolled in vocational rehabilitation predicted employment at discharge, and mental health and/or SUD treatment continues and employment remain 60-days-post-vocational-rehabilitation discharge.
UNASSIGNED: An outcome-based, summative program evaluation design to measure quality assurance of vocational rehabilitation services provided to 402 veteran patients enrolled in a VA healthcare located within the Great Lakes Health Care System - Veterans Integrated Services Network.
UNASSIGNED: Multivariable logistic regression analyses showed psychological empowerment (confidence in one\'s ability to work or find work) is a significant factor determining whether a veteran is enrolled in the vocational rehabilitation program, prior mental health treatment (yes/no) and frequency of mental health treatment did not predict program enrollment, and frequency of SUD VA system treatment 60 days prior did not predict program enrollment. Other findings showed that simultaneous mental health and/or SUD treatment while enrolled in vocational rehabilitation did not predict employment at discharge, and employment at discharge did not predict continued mental health and/or SUD treatment post-discharge from vocational rehabilitation. However, veterans with both SUD and mental health and continued mental health treatment were less likely to be employed.
UNASSIGNED: Utilization of real-world program evaluation data from an actual VHA vocational rehabilitation program enhances the study\'s ecological validity, offering practical implications for policymakers and practitioners in the field. The findings support the importance of veterans enrolling in mental health and/or SUD treatment simultaneously while enrolled in vocational rehabilitation services, as integrating vocational rehabilitation with mental health and SUD treatment services can lead to improved vocational and health outcomes for veterans (eg, development of targeted interventions to support veterans\' successful reintegration into the workforce and society).

The purpose of this study was to develop and validate an algorithm for identifying Veterans with a history of traumatic brain injury (TBI) in the Veterans Affairs (VA) electronic health record using VA Million Veteran Program (MVP) data. Manual chart review (n = 200) was first used to establish \'gold standard\' diagnosis labels for TBI (\'Yes TBI\' vs. \'No TBI\'). To develop our algorithm, we used PheCAP, a semi-supervised pipeline that relied on the chart review diagnosis labels to train and create a prediction model for TBI. Cross-validation was used to train and evaluate the proposed algorithm, \'TBI-PheCAP.\' TBI-PheCAP performance was compared to existing TBI algorithms and phenotyping methods, and the final algorithm was run on all MVP participants (n = 702,740) to assign a predicted probability for TBI and a binary classification status choosing specificity = 90%. The TBI-PheCAP algorithm had an area under the receiver operating characteristic curve of 0.92, sensitivity of 84%, and positive predictive value (PPV) of 98% at specificity = 90%. TBI-PheCAP generally performed better than other classification methods, with equivalent or higher sensitivity and PPV than existing rules-based TBI algorithms and MVP TBI-related survey data. Given its strong classification metrics, the TBI-PheCAP algorithm is recommended for use in future population-based TBI research.

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UNASSIGNED: Diagnostic codes can be instrumental for case identification in Alzheimer\'s disease (AD) research; however, this method has known limitations and cannot distinguish between disease stages. Clinical notes may offer more detailed information including AD severity and can complement diagnostic codes for case identification.
UNASSIGNED: To estimate prevalence of mild cognitive impairment (MCI) and AD using diagnostics codes and clinical notes available in the electronic healthcare record (EHR).
UNASSIGNED: This was a retrospective study in the Veterans Affairs Healthcare System (VAHS). Health records from Veterans aged 65 years or older were reviewed during Fiscal Years (FY) 2010-2019. Overall, 274,736 and 469,569 Veterans were identified based on a rule-based algorithm as having at least one clinical note for MCI and AD, respectively; 201,211 and 149,779 Veterans had a diagnostic code for MCI and AD, respectively. During FY 2011-2018, likely MCI or AD diagnosis was defined by≥2 qualifiers (i.e., notes and/or codes)≥30 days apart. Veterans with only 1 qualifier were considered as suspected MCI/AD.
UNASSIGNED: Over the 8-year study, 147,106 and 207,225 Veterans had likely MCI and AD, respectively. From 2011 to 2018, yearly MCI prevalence increased from 0.9% to 2.2%; yearly AD prevalence slightly decreased from 2.4% to 2.1%; mild AD changed from 22.9% to 26.8%, moderate AD changed from 26.5% to 29.1%, and severe AD changed from 24.6% to 30.7.
UNASSIGNED: The relative distribution of AD severities was stable over time. Accurate prevalence estimation is critical for healthcare resource allocation and facilitating patients receiving innovative medicines.

BACKGROUND: There have been over 772 million confirmed cases of COVID-19 worldwide. A significant portion of these infections will lead to long COVID (post-COVID-19 condition) and its attendant morbidities and costs. Numerous life-altering complications have already been associated with the development of long COVID, including chronic fatigue, brain fog, and dangerous heart rhythms.
OBJECTIVE: We aim to derive an actionable long COVID case definition consisting of significantly increased signs, symptoms, and diagnoses to support pandemic-related clinical, public health, research, and policy initiatives.
METHODS: This research employs a case-crossover population-based study using International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) data generated at Veterans Affairs medical centers nationwide between January 1, 2020, and August 18, 2022. In total, 367,148 individuals with ICD-10-CM data both before and after a positive COVID-19 test were selected for analysis. We compared ICD-10-CM codes assigned 1 to 7 months following each patient\'s positive test with those assigned up to 6 months prior. Further, 350,315 patients had novel codes assigned during this window of time. We defined signs, symptoms, and diagnoses as being associated with long COVID if they had a novel case frequency of ≥1:1000, and they significantly increased in our entire cohort after a positive test. We present odds ratios with CIs for long COVID signs, symptoms, and diagnoses, organized by ICD-10-CM functional groups and medical specialty. We used our definition to assess long COVID risk based on a patient\'s demographics, Elixhauser score, vaccination status, and COVID-19 disease severity.
RESULTS: We developed a long COVID definition consisting of 323 ICD-10-CM diagnosis codes grouped into 143 ICD-10-CM functional groups that were significantly increased in our 367,148 patient post-COVID-19 population. We defined 17 medical-specialty long COVID subtypes such as cardiology long COVID. Patients who were COVID-19-positive developed signs, symptoms, or diagnoses included in our long COVID definition at a proportion of at least 59.7% (268,320/449,450, based on a denominator of all patients who were COVID-19-positive). The long COVID cohort was 8 years older with more comorbidities (2-year Elixhauser score 7.97 in the patients with long COVID vs 4.21 in the patients with non-long COVID). Patients who had a more severe bout of COVID-19, as judged by their minimum oxygen saturation level, were also more likely to develop long COVID.
CONCLUSIONS: An actionable, data-driven definition of long COVID can help clinicians screen for and diagnose long COVID, allowing identified patients to be admitted into appropriate monitoring and treatment programs. This long COVID definition can also support public health, research, and policy initiatives. Patients with COVID-19 who are older or have low oxygen saturation levels during their bout of COVID-19, or those who have multiple comorbidities should be preferentially watched for the development of long COVID.

BACKGROUND: Prostate cancer screening has routinely identified men with very low- or low-risk disease, per the National Comprehensive Cancer Network guidelines. Current literature has demonstrated that the most appropriate management strategy for these patients is active surveillance (AS). The mainstay of AS includes periodic biopsies and biannual prostate-specific antigen tests. However, multiparametric magnetic resonance imaging (mpMRI) is uniquely posed to improve patient surveillance. This study aimed to evaluate the utility of an annual mpMRI in patients on AS, focusing on radiologic upgrading and Prostate Imaging-Reporting and Data System (PI-RADS) trends as indicators of clinically significant disease.
METHODS: This prospective, single intuition, study enrolled 208 patients on AS who had at least two biopsies and 1 mpMRI with a median follow-up of 5.03 years. The main outcome variable was time to Gleason grade (GG) reclassification.
RESULTS: After delineating patients on their initial PI-RADS score, men with score 3 and 5 lesions at first MRI had comparable GG reclassification-free survival to their counterparts. Conversely, men with initial PI-RADS 4 lesions showed a lower 5-year GG reclassification-free survival compared to those with PI-RADS score 1-2. The cohort was then subset to 70 patients who obtained ≥2 mpMRIs on protocol. Men experiencing uptrending mpMRI scores had an increased risk of GG reclassification, with a 35.4% difference in 5 year GG reclassification-free survival probability on the Kaplan-Meier curve analysis.
CONCLUSIONS: In conclusion, this study demonstrates that for men on AS with stable recapitulated disease, an annual MRI may replace repeat biopsies after confirmatory sampling has been obtained. On the other hand, men who initiate AS with PI-RADS 4 and/or who display uptrending mpMRI scores require periodic biopsies along with repeat imaging. This study highlights the utility of integrating an annual MRI into AS protocols, thus promising a more effective approach to management.

OBJECTIVE: In July 2021, as part of a planned multiyear broad and long-term organizational realignment, the general medicine service assumed continuous care of residents at a Community Living Center (CLC), which are nursing homes within the Veterans Affairs (VA) health care system. We hypothesized that practitioners accustomed to caring for patients in acute care would be more likely to prescribe antibiotics to long-term care residents.
METHODS: Retrospective cohort study.
METHODS: Residents of a 105-bed CLC associated with a large VA medical center.
METHODS: Our cohort included CLC residents between July 1, 2020, and June 30, 2022. We used administrative data to assess resident demographics and medical conditions in the 1 year before and after the change of practitioners. We also compared antibiotics agents prescribed and the following antibiotic use metrics in the year before and after the change: days of therapy (DOT) per 1000 bed days of care (BDOC), antibiotic starts/1000 BDOC, and mean length of therapy in days.
RESULTS: Resident characteristics and overall antibiotic use metrics were similar before and after the change in staffing. The specific agents prescribed differed, with a decrease in fluoroquinolones (14.3 to 5.8 DOT/1000 BDOC; P < .01) and an increase doxycycline (7.4 vs 19.1 DOT/1000 BDOC; P < .01) after the staff change. Rates of Clostridioides difficile infection also decreased, from 6.23 to 3.41 cases/10,000 BDOC after the change in staffing.
CONCLUSIONS: The comparable antibiotic use metrics before and after the general medical service assumed care of the CLC residents may be explained by constancy in resident population and other facility-related factors. Differences in the types of agents used suggests that antibiotic stewardship efforts can be tailored not only to the setting and patient population but also to the practitioners\' discipline.