Electronic Health Record Cohort Research Articles

Association Between Coronary Assessment in Heart Failure and Clinical Outcomes Within a Safety-Net Setting Using a Target Trial Emulation Observational Design.

Ischemic cardiomyopathy is the leading cause of heart failure (HF). Most patients do not undergo coronary assessment after HF diagnosis. There are no randomized clinical trials of coronary assessment after HF diagnosis. Using an electronic health record cohort of all individuals with HF within the San Francisco Health Network from 2001 to 2019, we identified factors associated with coronary assessment. Then, we studied the association of coronary assessment within 30 days of HF diagnosis with all-cause mortality and a composite of mortality and emergent angiography using a target trial emulation observational comparative-effectiveness approach. Target trial emulation is an approach to causal inference based on creating a hypothetical randomized clinical trial protocol and using observational data to emulate the protocol. We used propensity scores for covariate adjustment. We used national death records to improve the ascertainment of mortality and included falsification end points for the cause of death. Among 14 829 individuals with HF (median, 62 years old; 5855 [40%] women), 3987 (26.9%) ever completed coronary assessment, with 2467/13 301 (18.5%) with unknown coronary artery disease status at HF diagnosis assessed. Women, older individuals, and people without stable housing were less likely to complete coronary assessment. Among 5972 eligible persons of whom 627 underwent early elective coronary assessment, coronary assessment was associated with lower mortality (hazard ratio, 0.84 [95% CI, 0.72-0.97]; P=0.025), reduced risk of the composite outcome (hazard ratio, 0.86 [95% CI, 0.73-1.00]), higher rates of revascularization (odds ratio, 7.6 [95% CI, 5.4-10.6]), and higher use of medical therapy (odds ratio, 2.5 [95% CI, 1.7-3.6]), but not the falsification end points. In a safety-net population, disparities in coronary assessment after HF diagnosis are not fully explained by coronary artery disease risk factors. Early coronary assessment is associated with improved HF outcomes possibly related to higher rates of revascularization and guideline-directed medical therapy but with low certainty that this finding is not attributable to unmeasured confounding.

Association Between Medicare's Sepsis Reporting Policy (SEP-1) and the Documentation of a Sepsis Diagnosis in the Clinical Record.

Interrupted time series analysis of a retrospective, electronic health record cohort. To determine the association between the implementation of Medicare's sepsis reporting measure (SEP-1) and sepsis diagnosis rates as assessed in clinical documentation. The role of health policy in the effort to improve sepsis diagnosis remains unclear. Adult patients hospitalized with suspected infection and organ dysfunction within 6 hours of presentation to the emergency department, admitted to one of 11 hospitals in a multi-hospital health system from January 2013 to December 2017. Clinician-diagnosed sepsis, as reflected by the inclusion of the terms "sepsis" or "septic" in the text of clinical notes in the first two calendar days following presentation. Among 44,074 adult patients with sepsis admitted to 11 hospitals over 5 years, the proportion with sepsis documentation was 32.2% just before the implementation of SEP-1 in the third quarter of 2015 and increased to 37.3% by the fourth quarter of 2017. Of the 9 post-SEP-1 quarters, 8 had odds ratios for a sepsis diagnosis >1 (overall range: 0.98-1.26; P value for a joint test of statistical significance = 0.005). The effects were clinically modest, with a maximum effect of an absolute increase of 4.2% (95% CI: 0.9-7.8) at the end of the study period. The effect was greater in patients who did not require vasopressors compared with patients who required vasopressors (P value for test of interaction = 0.02). SEP-1 implementation was associated with modest increases in sepsis diagnosis rates, primarily among patients who did not require vasoactive medications.

Bronchiectasis-associated infections and outcomes in a large, geographically diverse electronic health record cohort in the United States

BackgroundBronchiectasis is a pulmonary disease characterized by irreversible dilation of the bronchi and recurring respiratory infections. Few studies have described the microbiology and prevalence of infections in large patient populations outside of specialized tertiary care centers.MethodsWe used the Cerner HealthFacts Electronic Health Record database to characterize the nature, burden, and frequency of pulmonary infections among persons with bronchiectasis. Chronic infections were defined based on organism-specific guidelines.ResultsWe identified 7,749 patients who met our incident bronchiectasis case definition. In this study population, the organisms with the highest rates of isolate prevalence were Pseudomonas aeruginosa with 937 (12%) individuals, Staphylococcus aureus with 502 (6%), Mycobacterium avium complex (MAC) with 336 (4%), and Aspergillus sp. with 288 (4%). Among persons with at least one isolate of each respective pathogen, 219 (23%) met criteria for chronic P. aeruginosa colonization, 74 (15%) met criteria for S. aureus chronic colonization, 101 (30%) met criteria for MAC chronic infection, and 50 (17%) met criteria for Aspergillus sp. chronic infection. Of 5,795 persons with at least two years of observation, 1,860 (32%) had a bronchiectasis exacerbation and 3,462 (60%) were hospitalized within two years of bronchiectasis diagnoses. Among patients with chronic respiratory infections, the two-year occurrence of exacerbations was 53% and for hospitalizations was 82%.ConclusionsPatients with bronchiectasis experiencing chronic respiratory infections have high rates of hospitalization.

Comparison of late-onset and non-late-onset systemic lupus erythematosus individuals in a real-world electronic health record cohort.

Objective: Late-onset systemic lupus erythematosus (LO-SLE) is defined as SLE diagnosed at age 50 years or later. Current studies on LO-SLE are small and have conflicting results.Methods: Using a large, electronic health record (EHR)-based cohort of SLE individuals, we compared demographics, disease characteristics, SLE-specific antibodies, and medication prescribing practices in LO (n = 123) vs. NLO-SLE (n = 402) individuals.Results: The median age (interquartile range) at SLE diagnosis was 60 (56-67) years for LO-SLE and 28 (20-38) years for NLO-SLE. Both groups were predominantly female (85% vs. 91%, p = 0.10). LO-SLE individuals were more likely to be White than NLO-SLE individuals (74% vs. 60%, p = 0.005) and less likely to have positive dsDNA (39% vs. 58%, p = 0.001) and RNP (17% vs. 32%, p = 0.02) with no differences in Smith, SSA, and SSB. Autoantibody positivity declined with increasing age at SLE diagnosis. LO-SLE individuals were less likely to develop SLE nephritis (9% vs. 29%, p < 0.001) and less likely to be prescribed multiple classes of SLE medications including antimalarials (90% vs. 95%, p = 0.04), azathioprine (17% vs. 31%, p = 0.002), mycophenolate mofetil (12% vs. 38%, p < 0.001), and belimumab (2% vs. 8%, p = 0.02).Conclusion: LO-SLE individuals may be less likely to fit an expected course for SLE with less frequent positive autoantibodies at diagnosis and lower rates of nephritis, even after adjusting for race. Understanding how age impacts SLE disease presentation could help reduce diagnostic delays in SLE.

Reasons for multiple biologic and targeted synthetic DMARD switching and characteristics of treatment refractory rheumatoid arthritis

ObjectiveSwitching biologic and targeted synthetic DMARD (b/tsDMARD) medications occurs commonly in RA patients, however data are limited on the reasons for these changes. The objective of the study was to identify and categorize reasons for b/tsDMARD switching and investigate characteristics associated with treatment refractory RA. MethodsIn a multi-hospital RA electronic health record (EHR) cohort, we identified RA patients prescribed ≥1 b/tsDMARD between 2001 and 2017. Consistent with the EULAR “difficult to treat” (D2T) RA definition, we further identified patients who discontinued ≥2 b/tsDMARDs with different mechanisms of action. We performed manual chart review to determine reasons for medication discontinuation. We defined “treatment refractory” RA as not achieving low disease activity (<3 tender or swollen joints on <7.5 mg of daily prednisone equivalent) despite treatment with two different b/tsDMARD mechanisms of action. We compared demographic, lifestyle, and clinical factors between treatment refractory RA and b/tsDMARD initiators not meeting D2T criteria. ResultsWe identified 6040 RA patients prescribed ≥1 b/tsDMARD including 404 meeting D2T criteria. The most common reasons for medication discontinuation were inadequate response (43.3 %), loss of efficacy (25.8 %), and non-allergic adverse events (13.7 %). Of patients with D2T RA, 15 % had treatment refractory RA. Treatment refractory RA patients were younger at b/tsDMARD initiation (mean 47.2 vs. 55.2 years, p < 0.001), more commonly female (91.8% vs. 76.1 %, p = 0.006), and ever smokers (68.9% vs. 49.9 %, p = 0.005). No RA clinical factors differentiated treatment refractory RA patients from b/tsDMARD initiators. ConclusionsIn a large EHR-based RA cohort, the most common reasons for b/tsDMARD switching were inadequate response, loss of efficacy, and nonallergic adverse events (e.g. infections, leukopenia, psoriasis). Clinical RA factors were insufficient for differentiating b/tsDMARD responders from nonresponders.

Socioeconomic Disparities in Glaucoma Severity at Initial Diagnosis: A Nationwide Electronic Health Record Cohort Analysis

PurposeTo assess disparities in initial disease severity among open-angle glaucoma (OAG) patients. DesignCross-sectional study. MethodsIn this analysis of Epic Cosmos, an aggregated electronic health record dataset encompassing >213 million patients, OAG patients examined in ophthalmology or optometry clinics between January 1, 2013 and June 1, 2023 were evaluated. OAG severity at presentation was classified as mild, moderate, or severe using International Classification of Disease-10 codes. Demographics, Social Vulnerability Index (SVI) scores, and Rural-Urban Commuting Area codes were evaluated as predictors of disease stage using ordinal logistic regression. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. ResultsOf 245,669 patients, 38.1% had mild, 32.5% moderate, and 29.3% severe disease at presentation. In multivariable analyses, significant determinants of worse severity included older age (OR: 1.23 per decade, 95% CI: 1.22-1.23), male sex (OR: 1.37, 95% CI: 1.35-1.39), Black race (OR: 1.61, 95% CI: 1.58-1.65), Hispanic ethnicity (OR: 1.15, 95% CI: 1.11-1.18), non-commercial insurance or uninsured status (OR: 2.53, 95% CI: 2.33-2.74), secondary OAGs (e.g., pseudoexfoliative glaucoma – OR: 1.65, 95% CI: 1.58-1.72), and higher socioeconomic SVI scores (OR: 1.25 for highest versus lowest quartile, 95% CI: 1.22-1.28). Black and Hispanic patients were diagnosed at younger ages compared to White patients (mean ages: 67.8±12.3 and 68.1±12.8 vs. 73.3±11.8 years respectively, p<0.001). ConclusionsWorse OAG at presentation was associated with older age, male sex, Black race, Hispanic ethnicity, non-commercial insurance or uninsured status, secondary OAGs, and greater socioeconomic vulnerability in this nationwide cohort. These findings can help tailor screening programs towards vulnerable populations.

Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank.

Knowledge gained from cohort studies has dramatically advanced both public and precision health. The All of Us Research Program seeks to enroll 1 million diverse participants who share multiple sources of data, providing unique opportunities for research. It is important to understand the phenomic profiles of its participants to conduct research in this cohort. More than 280000 participants have shared their electronic health records (EHRs) in the All of Us Research Program. We aim to understand the phenomic profiles of this cohort through comparisons with those in the US general population and a well-established nation-wide cohort, UK Biobank, and to test whether association results of selected commonly studied diseases in the All of Us cohort were comparable to those in UK Biobank. We included participants with EHRs in All of Us and participants with health records from UK Biobank. The estimates of prevalence of diseases in the US general population were obtained from the Global Burden of Diseases (GBD) study. We conducted phenome-wide association studies (PheWAS) of 9 commonly studied diseases in both cohorts. This study included 287012 participants from the All of Us EHR cohort and 502477 participants from the UK Biobank. A total of 314 diseases curated by the GBD were evaluated in All of Us, 80.9% (N = 254) of which were more common in All of Us than in the US general population [prevalence ratio (PR) >1.1, P < 2 × 10-5]. Among 2515 diseases and phenotypes evaluated in both All of Us and UK Biobank, 85.6% (N = 2152) were more common in All of Us (PR >1.1, P < 2 × 10-5). The Pearson correlation coefficients of effect sizes from PheWAS between All of Us and UK Biobank were 0.61, 0.50, 0.60, 0.57, 0.40, 0.53, 0.46, 0.47, and 0.24 for ischemic heart diseases, lung cancer, chronic obstructive pulmonary disease, dementia, colorectal cancer, lower back pain, multiple sclerosis, lupus, and cystic fibrosis, respectively. Despite the differences in prevalence of diseases in All of Us compared to the US general population or the UK Biobank, our study supports that All of Us can facilitate rapid investigation of a broad range of diseases. Most diseases were more common in All of Us than in the general US population or the UK Biobank. Results of disease-disease association tests from All of Us are comparable to those estimated in another well-studied national cohort.

Risk of Gastric Adenocarcinoma in a Multiethnic Population Undergoing Routine Care: An Electronic Health Records Cohort Study.

Gastric adenocarcinoma (GAC) is often diagnosed at advanced stages and portends a poor prognosis. We hypothesized that electronic health records (EHR) could be leveraged to identify individuals at highest risk for GAC from the population seeking routine care. This was a retrospective cohort study, with endpoint of GAC incidence as ascertained through linkage to an institutional tumor registry. We utilized 2010 to 2020 data from the Palo Alto Medical Foundation, a large multispecialty practice serving Northern California. The analytic cohort comprised individuals ages 40-75 receiving regular ambulatory care. Variables collected included demographic, medical, pharmaceutical, social, and familial data. Electronic phenotyping was based on rule-based methods. The cohort comprised 316,044 individuals and approximately 2 million person-years (p-y) of observation. 157 incident GACs occurred (incidence 7.9 per 100,000 p-y), of which 102 were non-cardia GACs (incidence 5.1 per 100,000 p-y). In multivariable analysis, male sex [HR: 2.2, 95% confidence interval (CI): 1.6-3.1], older age, Asian race (HR: 2.5, 95% CI: 1.7-3.7), Hispanic ethnicity (HR: 1.9, 95% CI: 1.1-3.3), atrophic gastritis (HR: 4.6, 95% CI: 2.2-9.3), and anemia (HR: 1.9, 95% CI: 1.3-2.6) were associated with GAC risk; use of NSAID was inversely associated (HR: 0.3, 95% CI: 0.2-0.5). Older age, Asian race, Hispanic ethnicity, atrophic gastritis, and anemia were associated with non-cardia GAC. Routine EHR data can stratify the general population for GAC risk. Such methods may help triage populations for targeted screening efforts, such as upper endoscopy.

Prevalence and Predictors of Subclinical Cardiomyopathy in Patients With Type 2 Diabetes in a Health System.

Diabetic cardiomyopathy (DbCM) is characterized by subclinical abnormalities in cardiac structure/function and is associated with a higher risk of overt heart failure (HF). However, there are limited data on optimal strategies to identify individuals with DbCM in contemporary health systems. The aim of this study was to evaluate the prevalence of DbCM in a health system using existing data from the electronic health record (EHR). Adult patients with type 2 diabetes mellitus free of cardiovascular disease (CVD) with available data on HF risk in a single-center EHR were included. The presence of DbCM was defined using different definitions: (1) least restrictive: ≥1 echocardiographic abnormality (left atrial enlargement, left ventricle hypertrophy, diastolic dysfunction); (2) intermediate restrictive: ≥2 echocardiographic abnormalities; (3) most restrictive: 3 echocardiographic abnormalities. DbCM prevalence was compared across age, sex, race, and ethnicity-based subgroups, with differences assessed using the chi-squared test. Adjusted logistic regression models were constructed to evaluate significant predictors of DbCM. Among 1921 individuals with type 2 diabetes mellitus, the prevalence of DbCM in the overall cohort was 8.7% and 64.4% in the most and least restrictive definitions, respectively. Across all definitions, older age and Hispanic ethnicity were associated with a higher proportion of DbCM. Females had a higher prevalence than males only in the most restrictive definition. In multivariable-adjusted logistic regression, higher systolic blood pressure, higher creatinine, and longer QRS duration were associated with a higher risk of DbCM across all definitions. In this single-center, EHR cohort, the prevalence of DbCM varies from 9% to 64%, with a higher prevalence with older age and Hispanic ethnicity.

Occurrence of sleep disorders, anxiety, and depression among patients with mild cognitive impairment and Alzheimer’s disease in diverse populations: A large nationwide electronic health record cohort study

AbstractBackgroundPatients affected with mild cognitive impairment (MCI) and Alzheimer’s disease (AD) often experience anxiety, depression, and sleep disturbances. Some of the published studies reported a higher incidence of these disorders in minority populations. The objectives of this study were to characterize the occurrence of sleep disorders, anxiety, and depression among patients with MCI and/or AD, stratified by gender, age and race/ethnicity in the United States clinical practice setting.MethodA retrospective cohort study was conducted using electronic health records and insurance claims from the Optum® Market Clarity database containing data from more than 63 million people in the US insured through Medicare, Medicaid, and other insurance providers. The study included patients diagnosed, utilizing ICD diagnosis codes, with MCI and/or AD between January 2017 and September 2021. Prevalence of depression, anxiety, and sleep disorders, as well as associated medication prescriptions, were identified in the 12 months before and after MCI and/or AD diagnoses. The occurrence of these diagnoses and prescriptions was evaluated stratified by gender, age, and race/ethnicity.ResultA total of 197,346 patients were diagnosed with MCI (56.9% female, mean age of 70.0 [SD 14.8]) and 144,321 with AD (63.9% female, mean age of 79.3 [SD 8.2]) at the baseline. Overall, a large proportion of MCI and AD cases had depression (pre‐MCI diagnosis: 40.3%; post‐MCI diagnosis: 44.8%; pre‐AD diagnosis: 32.2%; post‐AD diagnosis: 38.3%), anxiety (pre‐MCI diagnosis: 36.2%; post‐MCI diagnosis: 40.2%; pre‐AD diagnosis: 26.4%; post‐AD diagnosis: 31.5%), and sleep disorders (pre‐MCI diagnosis: 36.2%; post‐MCI diagnosis: 39.3%; pre‐AD diagnosis: 23.2%; post‐AD diagnosis: 25.4%). Occurrences of depression and anxiety were highest among females. Among individuals with MCI and/or AD, the gap between the proportion experiencing depression and the proportion prescribed an antidepressant was greatest for African American males and females. This was not observed for anxiety and anti‐anxiety medications.ConclusionA large proportion of individuals with MCI and/or AD also had depression, anxiety, and sleep issues. Further understanding of the populations with these comorbidities and their associated prescriptions by different ages, sex, and races/ethnicities is important when supporting patients with MCI and AD.

Diagnosis patterns among diverse populations with mild cognitive impairment and Alzheimer’s disease: A large nationwide electronic health record cohort study

AbstractBackgroundWith recent advances and emerging research on diagnostic biomarkers and evolving diagnostic criteria, practitioners managing patients with cognitive complaints operate within a complex, changing environment. Although some evidence is available on the importance of prompt diagnosis, little information exists on the diagnostic process used in real‐world settings among diverse populations. This study’s objective was to characterize diagnosis patterns among adults with mild cognitive impairment (MCI), Alzheimer’s disease (AD), and/or dementia in the United States, and stratify by gender, age and race/ethnicity.MethodThis retrospective observational cohort study utilized the Optum® Market Clarity database from January 1, 2017–September 30, 2021. Eligible individuals had ≥1 diagnosis of MCI, AD, and/or dementia in their electronic health records or ≥2 diagnosis codes separated by ≥30 days in claims data, had ≥12 months of continuous enrollment before the cohort entry date, and had ≥1 day of continuous healthcare plan enrollment after the index date. Demographic information and the occurrence of diagnostic tests were also obtained from electronic medical records and insurance claims. Descriptive statistics were calculated and stratified by demographic factors.ResultA total of 179,419 newly diagnosed MCI cases, 81,267 AD cases, and 338,739 dementia cases were identified. The mean age at MCI, AD, or dementia diagnosis was similar overall for males and females. Among Caucasians, the mean age of MCI diagnosis was 70.5±14.8 for females and 69.8±14.5 for males. Among African Americans, the mean age at MCI diagnosis was 66.3±15.4 for females and 63.6±16.1 for males. PET scans and CSF biomarker screening occurred less often than MRI and CT (MCI: PET 0.6%, CSF 1.6%, MRI 16.6%, CT 17.5%; AD: PET 0.5%; CSF 0.9%; MRI 9.0%; CT 18.4%; dementia: PET 0.2%; CSF 1.6%; MRI 9.5%; CT 25.9%).ConclusionThe mean age at MCI, AD, and dementia diagnosis varied by demographic groups. The diagnosis of MCI, AD, and dementia remains largely clinical, with low use of brain imaging or CSF biomarkers. This knowledge of the patient populations and diagnostic experiences in a real‐world setting allows for greater understanding and growth to improve diagnosis across diverse groups and lead to faster support.

Drug utilization among patients with mild cognitive impairment and Alzheimer’s disease in diverse populations: A large nationwide electronic health record cohort study

AbstractBackgroundCholinesterase inhibitors (ChE‐Is), such as donepezil, rivastigmine, and galantamine, and N‐methyl‐d‐aspartate receptor antagonists, such as memantine, are prescribed to decrease symptoms associated with cognitive impairment. Few studies have examined the initiation and utilization of these medications among diverse populations. This study’s objective was to characterize drug utilization among patients with mild cognitive impairment (MCI) and/or Alzheimer’s disease (AD) in the United States and stratify by gender, age and race/ethnicity.MethodThis retrospective cohort study was conducted using the Optum® Market Clarity database, which contains electronic health records and insurance claims. Cases of MCI and AD were identified utilizing the International Classification of Diseases, Ninth and Tenth Revisions diagnosis codes. Drug prescriptions were determined to occur before, on, or after the date of first diagnosis. All cases were required to have ≥12 months of enrollment in the database prior to first diagnosis. The study period was from January 2017 through September 2021. Descriptive statistics were calculated stratified by demographic groups.ResultA large number of cases were identified (197,346 MCI and 144,321 AD cases). Approximately 6% of individuals with MCI had prescriptions for ChE‐Is prior to diagnosis and 14% after diagnosis. For memantine, the proportions with prescriptions before and after MCI diagnosis were 2% and 5%, respectively. Among individuals with AD, prescriptions for ChE‐Is occurred in 22% prior to diagnosis and 32% after diagnosis. Memantine prescriptions increased from 10% prior to AD diagnosis to 18% after. The results did not differ by gender. The highest proportions with ChE‐Is and memantine prescriptions were older age groups &lt;85 years. When examining race/ethnic groups, the proportion of MCI and AD cases with these prescriptions was generally lowest among African Americans.ConclusionAs expected, prescriptions for ChE‐Is and memantine increased after diagnosis. The proportion of MCI and/or AD cases with prescriptions were similar across genders. The proportion with prescriptions was generally lowest among African Americans. Future research into the discrepancy in the occurrence of prescriptions by race/ethnicity as well as the timing of certain prescriptions will be valuable in further understanding the patient population and their access to appropriate medications.

Pre-existing musculoskeletal pain and its association with mortality in newly diagnosed co-morbid conditions: an electronic health record cohort study

Abstract Objective Musculoskeletal pain is a common risk factor for co-morbid conditions and might increase the risk of poor outcomes. The objective was to determine whether patients with pre-existing musculoskeletal pain have an increased risk for mortality following a new diagnosis of a co-morbid condition. Methods Patients aged ≥45 years with a new diagnosis of acute coronary syndrome (ACS), stroke, cancer, dementia or pneumonia recorded in a UK electronic primary care database linked to hospital and mortality records were examined. The association of mortality with musculoskeletal pain (inflammatory conditions, OA and regional pain) was determined. Results The sample size varied from 128 649 (stroke) to 406 289 (cancer) by cohort, with 22–31% having pre-existing musculoskeletal conditions. In the ACS cohort, there was a higher rate of mortality for all musculoskeletal types. There were also higher unadjusted mortality rates in patients with inflammatory arthritis compared with those without musculoskeletal pain in the stroke, cancer and dementia cohorts and for patients with OA in the stroke and cancer cohorts. After adjustment for the number of prescribed medications and age, the increased risk of mortality remained only for patients with inflammatory arthritis in the ACS cohort (adjusted hazard ratio = 1.07; 95% CI 1.03, 1.10). Conclusion Older adults with inflammatory arthritis and OA have increased risk of mortality when they develop a new condition, which seems to be related to the prescription of multiple medicines. Pre-existing musculoskeletal pain is an indicator of a complex patient who is at risk of poorer outcomes at the onset of new illnesses.

Abstract 14123: Cardiovascular Disease Incidence Among Female Veterans by Sexual Orientation and Race

Introduction: Studies of cardiovascular disease (CVD) in sexual minority (SM) women (i.e., lesbian, bisexual) vs. heterosexual women are limited by small sample sizes and lack of objective CVD ascertainment. Small samples also hinder study at the intersection of race and sexual orientation on CVD events. We used the Veterans Healthcare Administration Lesbian, Gay, Bisexual, Transgender Electronic Health Record cohort to fill these knowledge gaps. Methods: We studied 132,571 female cisgender veterans who were free of prevalent CVD and classified as SM or non-SM by a natural language processing tool. We defined incident CVD as first instance of AMI, ischemic stroke, cardiac revascularization, or CVD death between baseline and date of death or 8/31/22. We stratified sample statistics by SM status and race. We used Cox proportional hazards regression to assess the intersection of sexual orientation and race with incident CVD; we adjusted for Hispanic ethnicity and age. Based on the minority stress model, non-SM White women were the referent. Results: Within races, traditional CVD risk factors were similarly distributed by SM status but SM women had greater prevalence of stress-associated characteristics like substance use, depression, and anxiety. Regardless of sexual orientation, Asian women had lower CVD risk than non-SM White women, while Black/African American women had persistently increased CVD risk ( Table ). White lesbians had increased CVD risk vs. their non-SM counterparts. Unclassified SM women of American Native race or multiple races also had increased CVD incidence vs. non-SM White women. Conclusion: This is one of the first studies to examine the intersection of sexual orientation and race on CVD risk in female veterans. CVD risk appears increased or decreased in certain racial groups regardless of sexual orientation but this is not always true and invites further study into the mechanisms by which stress results in inequitable CVD events across groups.

Abstract 15634: Primary Prevention Defibrillator Use in a Safety-Net Setting

Introduction: Disparities in use of implantable cardioverter-defibrillators (ICD) for primary prevention have been documented; however, whether ICDs may be underutilized within a safety-net healthcare system has not been studied. Methods: Using an electronic health record cohort of all patients with heart failure (HF) who received care within the public safety-net system in San Francisco from 2001-2018 linked to device implantation records from two health systems, we identified all patients with ICD implantation (adjudicated with manual chart review) and primary prevention ICD-eligible with no indication for secondary prevention ICD, EF&lt;35% on 2 echocardiograms at least 90 days apart, HF hospitalization (to increase specificity for symptomatic HF), and prescribed beta blocker and ACEi/ARB. For exploratory survival analysis, eligibility and follow up started at the second echocardiogram. Results: Out of 14,230 patients with HF, at least 384 patients were potentially eligible for primary prevention ICD, but only 9 (2.3%) had an ICD implanted (2 CRT-D, 7 ICD). Of these 6 were nonischemic, and 3 had revascularized ischemic cardiomyopathy. Those who received ICD were younger (47 years vs 55 years; p=0.05), with lower rates of substance use (Table). Among 4 patients who died after ICD, median survival after device placement was 2.8 years (range 0.73 to 7.3); among 5 still alive, median follow up is 6.2 years (range 5.5 to 7.0). In an exploratory analysis, survival did not greatly differ by ICD placement (logrank p=0.53; age-adjusted HR 1.55; 95%CI 0.57-4.24). Conclusion: Among individuals receiving care at a safety-net system in San Francisco, even acknowledging that not all barriers to ICD placement are measured, very few guideline-eligible patients received primary prevention ICD. Additional studies are needed to identify patient-level and systems-level barriers to referral and implantation specific to a diverse, publicly insured patient population.

Patient headache questionnaires can improve headache diagnosis and treatment in children.

To examine trends in diagnosis of headache and migraine in a large pediatric neurology cohort, and test whether an electronic health record (EHR)-integrated headache questionnaire can increase specificity of diagnosis and likelihood of prescribing migraine treatment. Under-diagnosis of migraine contributes to the burden of disease. As we founded our Pediatric Headache Program in 2013, we recognized that the proportion of patients with headache who were given a diagnosis of migraine was much lower than expected. We developed a patient headache questionnaire, initially on paper (2013-2014), then in an electronic database (2014-2016), and finally integrated into our electronic health record (pilot: 2016, full: May 2017). We compared diagnoses and prescribed treatments for new patients who were given a headache diagnosis, looking at trends in the proportion of patients given specific diagnoses (migraine, etc.) versus the non-specific diagnosis, "headache." Next, we conducted a prospective cohort study to test for association between provider use of the form and the presence of a specific diagnosis, then for an association between specific diagnosis and prescription of migraine treatment. Between July 2011 and December 2022 the proportion of new headache patients who were given a diagnosis of migraine increased 9.7% and non-specific headache diagnoses decreased 21.0%. In the EHR cohort (June 2017-December 2022, n = 15,122), use of the provider form increased the rate of specific diagnosis to 87.2% (1839/2109) compared to 75.5% (5708/7560) without a patient questionnaire, nearly doubling the odds of making a specific diagnosis (odds ratio [OR] 1.90, 95% confidence interval [CI]: 1.65-2.19). Compared to those given only a non-specific headache diagnosis who were prescribed a migraine therapy 53.7% (1766/3286) of the time, 75.3% (8914/11836) of those given a specific diagnosis received a migraine therapy, more than doubling the odds of prescription (OR 2.39, 95% CI: 2.20-2.60). Interventions to improve specificity of diagnosis were effective and led to increased rates of prescription of migraine treatments. These results have been sustained over several years. This headache questionnaire was adapted into the Foundation system of EpicCare, so it is broadly available as a clinical and research tool for institutions that use this EHR software.

TCT-647 Outcomes of Patients Over 80 Years of Age Undergoing Left Atrial Appendage Occlusion: A Propensity-Matched Electronic Health Record Cohort Study

TCT-647 Outcomes of Patients Over 80 Years of Age Undergoing Left Atrial Appendage Occlusion: A Propensity-Matched Electronic Health Record Cohort Study

An electronic health record cohort of Veterans with amyotrophic lateral sclerosis

Objective To assemble and characterize an electronic health record (EHR) dataset for a large cohort of US military Veterans diagnosed with ALS (Amyotrophic Lateral Sclerosis). Methods An EHR dataset for 19,662 Veterans diagnosed with ALS between January 1, 2000 to December 31, 2020 was compiled from the Veterans Health Administration (VHA) EHR database by a query for ICD9 diagnosis (335.20) or ICD10 diagnosis (G12.21) for Amyotrophic Lateral Sclerosis. Results The cohort is predominantly male (98.94%) and white (72.37%) with a median age at disease onset of 68 years and median survival from the date of diagnosis of 590 days. With the designation of ALS as a compensable illness in 2009, there was a subsequent increase in the number of Veterans diagnosed per year in the VHA, but no change in median survival. The cohort included a greater-than-expected proportion of individuals whose branch of service at the time of separation was the Army. Conclusions The composition of the cohort reflects the VHA population who are at greatest risk for ALS. The greater than expected proportion of individuals whose branch of service at the time of separation was the Army suggests the possibility of a branch-specific risk factor for ALS.

The Burden and Treatment of Chronic Constipation Among US Nursing Home Residents.

To evaluate the burden of chronic constipation (CC) and the use of drugs to treat constipation (DTC) in 2 complementary data sources. Retrospective cohort study. US nursing home residents aged ≥65years with CC. We conducted 2 retrospective cohort studies in parallel using (1) 2016 electronic health record (EHR) data from 126 nursing homes and (2) 2014-2016 Medicare claims, each linked with the Minimum Data Set (MDS). CC was defined as (1) the MDS constipation indicator and/or (2) chronic DTC use. We described the prevalence and incidence rate of CC and the use of DTC. In the EHR cohort, we identified 25,739 residents (71.8%) with CC during 2016. Among residents with prevalent CC, 37% received a DTC, with an average duration of use of 19days per resident-month during follow-up. The most frequently prescribed DTC classes included osmotic (22.6%), stimulant (20.9%), and emollient (17.9%) laxatives. In the Medicare cohort, a total of 245,578 residents (37.5%) had CC. Among residents with prevalent CC, 59% received a DTC and slightly more than half (55%) were prescribed an osmotic laxative. Duration of use was shorter (10days per resident-month) in the Medicare (vs EHR) cohort. The burden of CC is high among nursing home residents. The differences in the estimates between the EHR and Medicare data confirm the importance of using secondary data sources that include over-the-counter drugs and other treatments unobservable in Medicare Part D claims to assess the burden of CC and DTC use in this population.

Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States.

To evaluate factors associated with severe coronavirus disease 2019 (COVID-19) among patients with rheumatoid arthritis (RA) in the US. Adults with RA who had a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, based on molecular or antigen test or clinical diagnosis, were identified from the Optum® COVID-19 Electronic Health Record dataset (March 1, 2020-April 28, 2021). The primary outcome was the occurrence of severe COVID-19 (hospitalization or death) within 30days from SARS-CoV-2 infection. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated using multivariable logistic regression models to assess the association between severe COVID-19 and patient characteristics, including demographics, baseline comorbidities, and recent RA treatments. During the study period, 6769 SARS-CoV-2 infections were identified in patients with RA, among whom 1460 (22%) developed severe COVID-19. Multivariable logistic regression analysis showed that being older, male, and non-White and having diabetes and cardiovascular conditions are associated with greater odds of severe COVID-19. In addition, compared with no use, the adjusted odds of severe COVID-19 were lower with recent use of tumor necrosis factor inhibitors (aOR 0.60, 95% CI 0.41-0.86) and higher with recent use of corticosteroids (aOR 1.38, 95% CI 1.13-1.69) or rituximab (aOR 2.87, 95% CI 1.60-5.14), respectively. Nearly one in five patients with RA developed severe COVID-19 disease within 30days after SARS-CoV-2 infection. In patients with RA, recent use of corticosteroids and rituximab were two factors associated with a greater risk of severe COVID-19 in addition to the risk factors among demographics and comorbidities previously identified in the general population.