Duke University Health System Research Articles

Prevalence of and Risk Factors for Liver Enzyme Elevation After Hepatitis C Virologic Cure.

A subset of patients with chronic hepatitis C virus (HCV) infection demonstrate liver enzyme elevation (LEE) after achieving sustained virologic response (SVR). Risk factors for LEE are not well characterised. We conducted a single-centre retrospective cohort study of adults with HCV infection in the Duke University Health System who received direct-acting antiviral therapy and achieved SVR. We performed multivariable logistic regression to assess the relationship between potential risk factors and LEE. We used generalised linear mixed-effects models to explore longitudinal relationships between HIV and LEE. Among 1356 patients, 556 (41.0%) had LEE after achieving SVR. Higher pretreatment alanine aminotransferase (ALT) (adjusted odds ratio [aOR] 1.08 per 10 IU/L increase; 95% confidence interval [CI] 1.05-1.11) and pretreatment cirrhosis (aOR 2.26, 95% CI 1.60-3.21) were associated with higher odds of LEE; male sex was associated with lower odds of LEE (aOR 0.28, 95% CI 0.21-0.38). There was insufficient evidence of an association between HIV and LEE (aOR 0.83, 95% CI 0.47-1.44). Pretreatment ALT, cirrhosis and female sex predicted LEE in this cohort of patients with HCV infection who achieved SVR. These findings can help to identify patients at greatest risk of post-SVR liver injury.

Association of rurality and health professional shortages with the clinicopathologic characteristics of melanoma in North Carolina.

To assess rural-urban and health professional shortage area (HPSA)-related influences on the characteristics of melanoma in North Carolina. We conducted a single-center retrospective cohort study of patients living in North Carolina with an available pathology report for invasive cutaneous melanoma seen in the Duke University Health System from 01/01/2014 to 12/31/2020. Multivariable logistic regression models were employed to compare patient and tumor characteristics between rural versus urban county residence as well between melanoma thicknesses dichotomized into thin (≤1.0mm) and thicker (>1.0mm) tumors. The cohort included 807 patients, and rural patients accounted for 177 (21.9%) of invasive cutaneous melanomas. Rural patients had significantly higher odds of having thicker tumors than urban patients (odds ratio [OR] = 1.78, 95% confidence interval [CI]: 1.17-2.71; P =.008). Rural patients were significantly more likely to be female (OR = 1.59, 95% CI: 1.10-2.28; P =.013) and located in a population-based (OR = 2.66, 95% CI: 1.84-3.84; P<.001) or geographic-based (OR = 8.21, 95% CI: 3.33-20.22; P<.001) HPSA. Living in a medium- or high-shortage population-based HPSA was associated with higher odds of thicker tumors (OR = 2.65, 95% CI: 1.85-3.80; P<.001). Patients living in rural North Carolina counties were more likely than those in urban counties to be diagnosed with melanomas >1.0mm in thickness, a clinically significant difference with important prognostic implications. Interventions at the county- and state-level to address this disparity may include improving access to skin cancer screening and teledermatology programs, increasing partnerships with primary care providers, and targeting interventions to counties with health professional shortages.

Transgender-Specific Differentiated HIV Service Delivery Models in the South African Public Primary Health Care System (Jabula Uzibone): Protocol for an Implementation Study.

Almost 60% of transgender people in South Africa are living with HIV. Ending the HIV epidemic will require that transgender people successfully access HIV prevention and treatment. However, transgender people often avoid health services due to facility-based stigma and lack of availability of gender-affirming care. Transgender-specific differentiated service delivery (TG-DSD) may improve engagement and facilitate progress toward HIV elimination. Wits RHI, a renowned South African research institute, established 4 TG-DSD demonstration sites in 2019, with funding from the US Agency for International Development. These sites offer unique opportunities to evaluate the implementation of TG-DSD and test their effectiveness. The Jabula Uzibone study seeks to assess the implementation, effectiveness, and cost of TG-DSD for viral suppression and prevention-effective adherence. The Jabula Uzibone study collects baseline and 12-month observation checklists at 8 sites and 6 (12.5%) key informant interviews per site at 4 TG-DSD and 4 standard sites (n=48). We seek to enroll ≥600 transgender clients, 50% at TG-DSD and 50% at standard sites: 67% clients with HIV and 33% clients without HIV per site type. Participants complete interviewer-administered surveys quarterly, and blood is drawn at baseline and 12 months for HIV RNA levels among participants with HIV and tenofovir levels among participants on pre-exposure prophylaxis. A subset of 30 participants per site type will complete in-depth interviews at baseline and 12 months: 15 participants will be living with HIV and 15 participants will be HIV negative. Qualitative analyses will explore aspects of implementation; regression models will compare viral suppression and prevention-effective adherence by site type. Structural equation modeling will test for mediation by stigma and gender affirmation. Microcosting approaches will estimate the cost per service user served and per service user successfully treated at TG-DSD sites relative to standard sites, as well as the budget needed for a broader implementation of TG-DSD. Funded by the US National Institutes of Mental Health in April 2022, the study was approved by the Human Research Ethics Committee at University of Witwatersrand in June 2022 and the Duke University Health System Institutional Review Board in June 2023. Enrollment began in January 2024. As of July 31, 2024, a total of 593 transgender participants have been enrolled: 348 are living with HIV and 245 are HIV negative. We anticipate baseline enrollment will be complete by August 31, 2024, and the final study visit will take place no later than August 2025. Jabula Uzibone will provide data to inform HIV policies and practices in South Africa and generate the first evidence for implementation of TG-DSD in sub-Saharan Africa. Study findings may inform the use of TG-DSD strategies to increase care engagement and advance global progress toward HIV elimination goals. DERR1-10.2196/64373.

Court rules in favor of former medical resident

Case name: Hoaglin v. Duke University Health System Inc., et al., No. COA23‐546 (N.C. Ct. App. 05/07/24).

Court rules in favor of former medical resident

Case name: Hoaglin v. Duke University Health System Inc., et al., No. COA23‐546 (N.C. Ct. App. 05/07/24).

Comparing Social Disadvantage Indices in Pediatric Populations.

Place-based social disadvantage indices are increasingly used to promote health equity, but vary in design. We compared associations between 3 commonly used indices (Social Vulnerability Index [SVI], Area Deprivation Index [ADI], and Child Opportunity Index [COI]) and infant well-child check (WCC) attendance and adolescent obesity. We hypothesized that the COI would have the strongest association with child health outcomes. We conducted a cross-sectional analysis of 2014-2019 Duke University Health System electronic health record data. Eligible participants were ≤18 years old, had outpatient encounters during the study period, and resided in Durham County, North Carolina. We aggregated indices into deciles; higher deciles represented greater disadvantage. Multivariable logistic regression models quantified the association between each index and infant WCC attendance (ages 0-15 months) and adolescent obesity (11-17 years). There were 10 175 and 14 961 children in the WCC and obesity cohorts, respectively. All 3 indices were similarly associated with WCCs (SVI odds ratio [OR] 1.10, 95% confidence interval [CI] 1.08-1.12; ADI OR 1.10, 95% CI 1.08-1.12; COI OR 1.12, 95% CI 1.10-1.14) and obesity (SVI OR 1.06, 95% CI 1.04-1.07; ADI OR 1.08, 95% CI 1.06-1.10; COI OR 1.07, 95% CI 1.05-1.08). ORs indicate the increase in the outcome odds for every 1-decile index score increase. Higher disadvantage as defined by all 3 indices was similarly associated with adolescent obesity and decreased infant WCC attendance. The SVI, ADI, and COI may be equally suitable for pediatric research, but population and outcome characteristics should be considered when selecting an index.

Court rules in favor of former medical resident

Case name: Hoaglin v. Duke University Health System Inc., et al., No. COA23‐546 (N.C. Ct. App. 05/07/24).

The Association between Long-term PM2.5 Exposure and Risk for Pancreatic Cancer: An Application of Social Informatics.

There is a profound need to identify modifiable risk factors to screen and prevent pancreatic cancer. Air pollution, including fine particulate matter (PM2.5), is increasingly recognized as a risk factor for cancer. We conducted a case-control study using data from the electronic health record (EHR) of Duke University Health System, 15-year residential history, NASA satellite fine particulate matter (PM2.5) and neighborhood socioeconomic data. Using deterministic and probabilistic linkage algorithms, we linked residential history and EHR data to quantify long term PM2.5 exposure. Logistic regression models quantified the association between a one interquartile range (IQR) increase in PM2.5 concentration and pancreatic cancer risk. The study included 203 cases and 5027 controls (median age of 59 years, 62% female, 26% Black). Individuals with pancreatic cancer had higher average annual exposure (9.4 μg/m3) as compared to IQR increase in average annual PM2.5 was associated with greater odds of pancreatic cancer (OR=1.20; 95% CI: 1.00-1.44). These findings highlight the link between elevated PM2.5 exposure and increased pancreatic cancer risk. They may inform screening strategies for high-risk populations and guide air pollution policies to mitigate exposure.

Preventing pediatric accidental decannulation events: A quality improvement initiative

ObjectiveTo describe a quality improvement (QI) method to decrease pediatric accidental decannulation (AD) in the early postoperative period for children under age 3. MethodsA retrospective chart review was conducted on children under age 3 who underwent tracheostomy at Duke University Health System from August 1, 2013 to May 1, 2023 (n = 104). A root cause analysis was used to assess factors associated with AD following pediatric tracheostomy. Based on the factors identified by the research team, retrospective data was collected before (8/1/13 - 1/31/22) and after (2/1/22 - 5/1/23) a single practice change was implemented: using twill neck ties, rather than foam neck ties, to secure newly-placed tracheostomy tubes. Twill ties were applied intraoperatively as a visual cue to signal a recent tracheostomy for the interdisciplinary care team. The primary outcome in the pre-intervention and post-intervention period was measured as 30-day incidence of AD per 10 tracheostomy cases. ResultsPrior to the intervention, a total of 11 ADs occurred in 9 patients across 93 pediatric tracheostomies (1.18 AD per 10 cases). Afterward, 0 ADs occurred across 11 pediatric tracheostomies (0 AD per 10 cases). ConclusionThis data suggests that the twill tie intervention may prevent AD and the associated morbidity. With the twill tie initiative, we describe 11 ADs and associated risk factors and present a QI intervention that may help prevent AD and improve patient safety in the early postoperative period.

The algorithm journey map: a tangible approach to implementing AI solutions in healthcare

When integrating AI tools in healthcare settings, complex interactions between technologies and primary users are not always fully understood or visible. This deficient and ambiguous understanding hampers attempts by healthcare organizations to adopt AI/ML, and it also creates new challenges for researchers to identify opportunities for simplifying adoption and developing best practices for the use of AI-based solutions. Our study fills this gap by documenting the process of designing, building, and maintaining an AI solution called SepsisWatch at Duke University Health System. We conducted 20 interviews with the team of engineers and scientists that led the multi-year effort to build the tool, integrate it into practice, and maintain the solution. This “Algorithm Journey Map” enumerates all social and technical activities throughout the AI solution’s procurement, development, integration, and full lifecycle management. In addition to mapping the “who?” and “what?” of the adoption of the AI tool, we also show several ‘lessons learned’ throughout the algorithm journey maps including modeling assumptions, stakeholder inclusion, and organizational structure. In doing so, we identify generalizable insights about how to recognize and navigate barriers to AI/ML adoption in healthcare settings. We expect that this effort will further the development of best practices for operationalizing and sustaining ethical principles—in algorithmic systems.

Healthcare provider perspectives on integrating a comprehensive spine care model in an academic health system: a cross-sectional survey

BackgroundHealthcare systems (HCS) are challenged in adopting and sustaining comprehensive approaches to spine care that require coordination and collaboration among multiple service units. The integration of clinicians who provide first line, evidence-based, non-pharmacological therapies further complicates adoption of these care pathways. This cross-sectional study explored clinician perceptions about the integration of guideline-concordant care and optimal spine care workforce requirements within an academic HCS.MethodsSpine care clinicians from Duke University Health System (DUHS) completed a 26-item online survey via Qualtrics on barriers and facilitators to delivering guideline concordant care for low back pain patients. Data analysis included descriptive statistics and qualitative content analysis.ResultsA total of 27 clinicians (57% response) responded to one or more items on the questionnaire, with 23 completing the majority of questions. Respondents reported that guidelines were implementable within DUHS, but no spine care guideline was used consistently across provider types. Guideline access and integration with electronic records were barriers to use. Respondents (81%) agreed most patients would benefit from non-pharmacological therapies such as physical therapy or chiropractic before receiving specialty referrals. Providers perceived spine patients expected diagnostic imaging (81%) and medication (70%) over non-pharmacological therapies. Providers agreed that receiving imaging (63%) and opioids (59%) benchmarks could be helpful but might not change their ordering practice, even if nudged by best practice advisories. Participants felt that an optimal spine care workforce would require more chiropractors and primary care providers and fewer neurosurgeons and orthopedists. In qualitative responses, respondents emphasized the following barriers to guideline-concordant care implementation: patient expectations, provider confidence with referral pathways, timely access, and the appropriate role of spine surgery.ConclusionsSpine care clinicians had positive support for current tenets of guideline-concordant spine care for low back pain patients. However, significant barriers to implementation were identified, including mixed opinions about integration of non-pharmacological therapies, referral pathways, and best practices for imaging and opioid use.

Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes.

Type 2 diabetes (T2DM) poses a significant public health challenge, with pronounced disparities in control and outcomes. Social determinants of health (SDoH) significantly contribute to these disparities, affecting healthcare access, neighborhood environments, and social context. We discuss the design, development, and use of an innovative web-based application integrating real-world data (electronic health record and geospatial files), to enhance comprehension of the impact of SDoH on T2 DM health disparities. We identified a patient cohort with diabetes from the institutional Diabetes Registry (N = 67,699) within the Duke University Health System. Patient-level information (demographics, comorbidities, service utilization, laboratory results, and medications) was extracted to Tableau. Neighborhood-level socioeconomic status was assessed via the Area Deprivation Index (ADI), and geospatial files incorporated additional data related to points of interest (i.e., parks/green space). Interactive Tableau dashboards were developed to understand risk and contextual factors affecting diabetes management at the individual, group, neighborhood, and population levels. The Tableau-powered digital health tool offers dynamic visualizations, identifying T2DM-related disparities. The dashboard allows for the exploration of contextual factors affecting diabetes management (e.g., food insecurity, built environment) and possesses capabilities to generate targeted patient lists for personalized diabetes care planning. As part of a broader health equity initiative, this application meets the needs of a diverse range of users. The interactive dashboard, incorporating clinical, sociodemographic, and environmental factors, enhances understanding at various levels and facilitates targeted interventions to address disparities in diabetes care and outcomes. Ultimately, this transformative approach aims to manage SDoH and improve patient care.

2848. Risk factors for recurrence of community-onset urinary tract infections caused by extended spectrum cephalosporin-resistant Enterobacterales

Abstract Background Extended spectrum cephalosporin-resistant Enterobacterales (ESCR-E) are increasingly implicated in community-onset urinary tract infections (UTIs). In this study, we assessed risk factors for recurrence among patients with community-onset UTI caused by ESCR-E. Methods This retrospective cohort study included adult patients evaluated April 2018 – December 2021 in the Duke University Health System with community-onset ESCR-E UTI, defined as (1) ESCR-E in a urine culture obtained in an outpatient clinic, emergency department, or within 48 hours of hospital admission; (2) ≥10 leukocytes per high-power field on urine microscopy or urine dipstick positive for leukocyte esterase; and (3) new antibiotic administration or prescription. ESCR-E UTI recurrence was assessed 14 to 180 days after completion of antibiotic treatment for the index UTI. Patients were right censored at end of follow up period or upon death. Univariate Cox proportional hazards regression was performed to evaluate the relationships between candidate risk factors and time to recurrence. Results 1428 patients were included; 207 (14.5%) experienced recurrence. In unadjusted analyses, risk factors for recurrent ESCR-E UTI included diabetes mellitus (hazard ratio [HR] = 1.4, 95% confidence interval [CI]: 1.1 to 1.9, p = 0.01), chronic renal insufficiency (HR = 1.6, 95% CI: 1.2 to 2.1, p &amp;lt; 0.001), neurogenic bladder (HR = 2.1, 95% CI: 1.4 to 2.9, p &amp;lt; 0.001), previous UTI diagnosis within one year (HR = 2.6, 95% CI: 1.9 to 3.5, p &amp;lt; 0.001), fluoroquinolone non-susceptibility (HR = 1.6, 95% CI: 1.2 to 2.2, p = 0.004), and trimethoprim-sulfamethoxazole non-susceptibility (HR = 1.3, 95% CI: 1.0 to 1.8, p = 0.045). Patients with ESCR Klebsiella pneumoniae UTI had a 53% greater hazard of recurrence compared to patients with ESCR E. coli UTI (HR = 1.5, 95% CI: 1.1 to 2.1, p = 0.008). Conclusion ESCR-E UTI recurrence was common, and several clinical and microbiologic characteristics were associated with recurrence. Patients with these characteristics should receive particular consideration for aggressive UTI risk factor modification and other non-antibiotic prevention strategies. Future studies should evaluate strategies to reduce the risk of recurrence among patients with ESCR-E UTI. Disclosures All Authors: No reported disclosures

Identification of barriers at the primary care provider level to improve inflammatory breast cancer diagnosis and management

The purpose of this study, based in the United States, was to evaluate knowledge gaps and barriers related to diagnosis and care of inflammatory breast cancer (IBC), a rare but lethal breast cancer subtype, amongst Primary Care Providers (PCP) as they are often the first point of contact when patients notice initial symptoms. PCP participants in the Duke University Health System, federally qualified health center, corporate employee health and community practices, nearby academic medical center, Duke physician assistant and advanced practice nurse leadership program alumni were first selected in a convenience sample and for semi-structured interviews (n = 11). Based on these data, an online survey tool was developed and disseminated (n = 78) to assess salient measures of IBC diagnosis, health disparity factors, referral and care coordination practices, COVID-19 impact, and continuing medical education (CME). PCP reported access to care and knowledge gaps in symptom recognition (mean = 3.3, range 1–7) as major barriers. Only 31 % reported ever suspecting IBC in a patient. PCP (n = 49) responded being challenged with referral delays in diagnostic imaging. Additionally, since the COVID-19 pandemic started, 63 % reported breast cancer referral delays, and 33 % reported diagnosing less breast cancer. PCP stated interest in CME in their practice for improved diagnosis and patient care, which included online (53 %), lunch time or other in-service training (33 %), patient and provider-facing websites (32 %). Challenges communicating rare cancer information, gaps in confidence in diagnosing IBC, and timely follow-up with patients and specialists underscores the need for developing PCP educational modules to improve guideline-concordant care.

Risk Factors for Recurrence of Community-Onset Urinary Tract Infections Caused by Extended-Spectrum Cephalosporin-Resistant Enterobacterales.

Extended-spectrum cephalosporin-resistant Enterobacterales (ESCrE) are an increasingly important cause of community-onset urinary tract infections (UTIs), including recurrent infections. We evaluated risk factors for recurrence among patients with community-onset ESCrE UTI. This retrospective cohort study included adults with community-onset ESCrE UTI in the Duke University Health System from April 2018 through December 2021. ESCrE UTI recurrence by the same species was assessed 14-180 days (ie, 6 months) after completion of antibiotic treatment. We evaluated the relationships between candidate risk factors and time to recurrence using Cox proportional hazards regression models. Among 1347 patients with community-onset ESCrE UTI, 202 (15.0%) experienced recurrent infection during the 6-month follow-up period. Independent risk factors for recurrence included neurogenic bladder (adjusted hazard ratio [aHR], 1.8 [95% confidence interval {CI}, 1.2-2.6]; P = .005), prior history of UTI (aHR, 2.4 [95% CI, 1.7-3.3]; P < .001), and fluoroquinolone nonsusceptibility of the index UTI (aHR, 1.5 [95% CI, 1.1-2.1]; P = .02). Klebsiella pneumoniae infection was associated with recurrence in univariate analysis (HR, 1.6 [95% CI, 1.1-2.1]; P = .007) but not multivariate analysis (aHR, 1.4 [95% CI, 1.0-1.9]; P = .06). Inappropriate initial or definitive antibiotic therapy was not predictive of ESCrE UTI recurrence. Recurrence of community-onset ESCrE UTI was common and associated with several patient and pathogen-level risk factors. Future studies should evaluate microbial risk factors for recurrence and improve the management of ESCrE UTI.

Prescribing of evidence-based diabetes pharmacotherapy in patients with metabolic dysfunction-associated steatohepatitis

IntroductionMetabolic dysfunction-associated steatohepatitis (MASH) is highly prevalent in type 2 diabetes (T2D). Pioglitazone and glucagon-like peptide-1 receptor agonists (GLP-1RA) are medications used in T2D that can resolve MASH and should...

Sex differences in the age of childhood autism diagnosis and the impact of co-occurring conditions.

Sex differences in the age of autism diagnosis during childhood have been documented consistently but remain poorly understood. In this study, we used electronic health records data from a diverse, academic medical center to quantify differences in the age of autism diagnosis between boys and girls and identify associations between the age of diagnosis and co-occurring neurodevelopmental, psychiatric, and medical conditions. An established computable phenotype was used to identify all autism diagnoses within the Duke University Health System between 2014 and 2021. Co-occurring neurodevelopmental and psychiatric diagnoses as well as visits to specific medical and supportive services were identified in the 2 years prior to the autism diagnosis. Cox proportional hazards models were fitted to quantify associations between diagnosis age and sex with and without controlling for the presence of each co-occurring diagnosis and visit type. Records from 1438 individuals (1142 boys and 296 girls) were included. Girls were more likely to be diagnosed either before age 3 ( = 497.720, p < 0.001) or after age 11 ( = 4.014, p = 0.047), whereas boys were more likely to be diagnosed between ages 3 and 11 ( = 5.532, p = 0.019). Visits for anxiety ( = 4.200, p = 0.040) and mood disorders ( = 7.033, p = 0.008) were more common in girls and associated with later autism diagnosis (HR = 0.615, p < 0.001; and HR = 0.493, p < 0.001). Visits for otolaryngology were more common in boys and associated with an earlier autism diagnosis (HR = 1.691, p < 0.001). After controlling for these conditions, associations between sex and diagnosis age were reduced and not statistically significant. These results show that the age of autism diagnosis differs in girls compared to boys, but these differences were neutralized when controlling for co-occurring neurodevelopmental and psychiatric conditions prior to autism diagnosis. Understanding sex differences and the possible mediating role of other diagnoses may suggest targets for intervention to promote earlier and more equitable diagnosis.

Implementation evaluation of a teledermatology virtual clinic at an academic medical center

BackgroundTeledermatology (TD) is an evidence-based practice that may increase access to dermatologic care. We sought to use the Exploration, Preparation, Implementation, and Sustainment (EPIS) and the Reach, Efficacy, Adoption, Implementation, and Maintenance (RE-AIM) frameworks to evaluate implementation of TD at Duke.MethodsThe EPIS and RE-AIM frameworks were deployed to design and implement a TD program that leveraged the strengths of the Duke University Health System and addressed previously reported barriers to implementation of store-and-forward and synchronous TD models. In the resultant hybrid TD model, trained primary care providers (PCPs) sent e-comm referrals with clinical and dermatoscopic images to dermatology. These e-consults were reviewed asynchronously and patients were scheduled for a synchronous video visit with dermatology within days. Dermatologists managed the patient plan. This hybrid TD model was piloted at four primary care clinics. Pertinent outcomes from a TD-adapted RE-AIM framework were tracked using electronic health record data. Patient satisfaction was assessed using a post-video visit survey (n = 18). Implementation barriers and facilitators were also collected through provider surveys (n = 24 PCPs, n = 10 dermatologists, n = 10 dermatology residents).ResultsAt four PCP clinics throughout 9/1/2021–4/30/2022, there were 218 TD referrals. Video visits occurred on average 7.5 ± 0.5 days after referral and 18/18 patients completing the post-visit survey were satisfied. Adoption varied between clinics, with one placing 22% of all dermatology referrals as TD and another placing 2%. The primary PCP barriers to TD were time burdens, lack of fit in clinic flow, and discomfort with image taking. Top-endorsed potential facilitating interventions included allowing for rash referrals without dermoscopy and assurance for clinical evaluation within 3 days.ConclusionsThe use of implementation science frameworks allowed for identification of system and contextual strengths which informed the hybrid TD pilot. Barriers and facilitating interventions will provide guidance for expansion and ongoing maintenance of TD.

Risk Factors and Outcomes of Hematogenous Vertebral Osteomyelitis in Patients With Staphylococcus aureus Bacteremia.

Hematogenous vertebral osteomyelitis (HVOM) is an incompletely understood complication of Staphylococcus aureus bacteremia (SAB). Eligible SAB patients with and without HVOM were prospectively enrolled from 1995 through 2019 at Duke University Health System. HVOM was diagnosed either radiographically or microbiologically. Multivariable logistic regression analysis was performed to identify clinical and microbial factors associated with HVOM risk. All bloodstream S. aureus isolates were genotyped using spa typing. Of 3165 cases of SAB, 127 (4.0%) developed HVOM. Patients who experienced HVOM were more likely to have community-acquired SAB (30.7% vs 16.7%, P < .001), have a longer time to diagnosis of SAB (median, 5 days; interquartile range [IQR], 2-10.5 vs median, 2 days; IQR, 0-4; P < .001), and to exhibit persistent bacteremia (48.8% vs 20.6%, P < .001). A significant number of HVOM patients developed infective endocarditis (26% vs 15.2%, P = .002). Overall, 26.2% (n = 33) of SAB patients with HVOM underwent surgical intervention. Methicillin resistance (46.6% vs 41.7%, P = .318) and bacterial genotype were not associated with the development of HVOM. At the 12-month follow-up, 22% of patients with HVOM had died. Of the surviving patients, 20.4% remained on antibiotic therapy, and 29.6% had recurrence of either HVOM or SAB. Among patients with SAB, HVOM risk was associated with clinical factors and not bacterial genotype. Despite being a rare complication of SAB, patients with HVOM had high all-cause mortality rates and healthcare resource requirements up to 1 year after their HVOM diagnosis. Close clinical monitoring is indicated in this vulnerable population.

Natural history of echocardiographic changes in atrial fibrillation: A case-controlled study of longitudinal remodeling

BackgroundAtrial fibrillation (AF) can be a cause and consequence of cardiac remodeling. The natural history of remodeling associated with AF is incompletely described. ObjectiveThe purpose of this study was to describe the frequency and timing of AF-associated echocardiographic changes. MethodsPatients within the Duke University Health System with ≥2 transthoracic echocardiograms (TTEs) performed between 2005 and 2018 were evaluated. Patients with AF and normal baseline TTEs were matched to patients without AF on year of TTE, age, and CHA2DS2-VASc score. Frequency and timing of changes in chamber size, ventricular function, mitral regurgitation, and all-cause mortality were compared over 5 years of follow-up. ResultsThe cohort included 3299 patients with AF at baseline and 7613 controls without AF. Normal baseline TTEs were acquired from 730 of patients with AF; 727 of these patients were matched to controls without AF. Patients with AF had higher rates of left atrial enlargement (hazard ratio [HR] 1.53; 95% confidence interval 1.27–1.85; P < .001), left ventricular (LV) systolic dysfunction (HR 1.80; 95% confidence interval 1.00–3.26; P = .045), LV diastolic dysfunction (HR 1.51; 95% confidence interval 1.08–2.10; P = .01), and moderate or greater mitral regurgitation (HR 2.09; 95% confidence interval 1.27–3.43; P = .003) than did controls. Atrial enlargement, systolic dysfunction, and mitral regurgitation surpassed the rates seen in controls within 6–12 months, whereas differences in diastolic dysfunction emerged at 24 months. There were no differences in ventricular sizes or mortality. ConclusionAF is associated with higher rates of left atrial enlargement, LV systolic and diastolic dysfunction, and mitral regurgitation that typically manifest within 6–24 months of diagnosis. The natural history of cardiac remodeling in patients with AF may inform treatment decisions and facilitate patient-tailored care.