Artificial intelligence evaluation of electrocardiographic characteristics and interval changes in transgender patients on gender-affirming hormone therapy
Abstract Aims Gender-affirming hormone therapy (GAHT) is used by some transgender individuals (TG), who comprise 1.4% of US population. However, the effects of GAHT on electrocardiogram (ECG) remain unknown. The objective is to assess the effects of GAHT on ECG changes in TG. Methods and results Twelve-lead ECGs of TG on GAHT at the Mayo Clinic were inspected using a validated artificial intelligence (AI) algorithm. The algorithm assigns a patient’s ECG male pattern probability on a scale of 0 (female) to 1 (male). In the primary analysis, done separately for transgender women (TGW) and transgender men (TGM), 12-lead ECGs were used to estimate the male pattern probability before and after GAHT. In a subanalysis, only patients with both pre- and post-GAHT EGCs were included. Further, the autopopulated PR, QRS, and QTc intervals were compared before and after GAHT. Among TGW (n = 86), the probability (mean ± SD) of an ECG male pattern was 0.84 ± 0.25 in the pre-GAHT group, and it was lowered to 0.59 ± 0.36 in the post-GAHT group (n = 173, P < 7.8 × 10−10). Conversely, among TGM, male pattern probability was 0.16 ± 0.28 (n = 47) in the pre-GAHT group, and it was higher at 0.41 ± 0.38 in the post-GAHT group (n = 53, P < 2.4×10−4). The trend persisted in the subanalysis. Furthermore, both the PR (P = 5.68 × 10−4) and QTc intervals (P = 6.65×10−6) prolonged among TGW. Among TGM, the QTc interval shortened (P = 4.8 × 10−2). Conclusion Among TG, GAHT is associated with ECG changes trending towards gender congruence, as determined by the AI algorithm and ECG intervals. Prospective studies are warranted to understand GAHT effects on cardiac structure and function.
Secondary tricuspid regurgitation: incidence, types, and outcomes in atrial fibrillation vs. sinus rhythm
Abstract Background and Aims Incidence and types of secondary tricuspid regurgitation (TR) are not well defined in atrial fibrillation (AFib) and sinus rhythm (SR). Atrial secondary TR (A-STR) is associated with pre-existing AFib; however, close to 50% of patients with A-STR do not have AFib. The aim of this study was to assess incidence, types, and outcomes of ≥ moderate TR in AFib vs. SR. Methods Adults with and without new-onset AFib without structural heart disease or ≥ moderate TR at baseline were followed for the development of ≥ moderate TR. Tricuspid regurgitation types were pacemaker, left-sided valve disease, left ventricular (LV) dysfunction, pulmonary hypertension (PH), isolated ventricular, and A-STR. Results Among 1359 patients with AFib and 20 438 in SR, 109 and 378 patients developed ≥ moderate TR, respectively. The individual types of TR occurred more frequently in AFib related to the higher pacemaker implantation rates (1.12 vs. 0.19 per 100 person-years, P < .001), larger right atrial size (median 78 vs. 53 mL, P < .001), and higher pulmonary pressures (median 30 vs. 28 mmHg, P < .001). The most common TR types irrespective of rhythm were LV dysfunction-TR and A-STR. Among patients in SR, those with A-STR were older, predominantly women with more diastolic abnormalities and higher pulmonary pressures. All types of secondary TR were associated with all-cause mortality, highest in PH-TR and LV dysfunction-TR. Conclusions New-onset AFib vs. SR conferred a higher risk of the individual TR types related to sequelae of AFib and higher pacemaker implantation rates, although the distribution of TR types was similar. Secondary TR was universally associated with increased mortality.
Incidence and types of significant tricuspid regurgitation in atrial fibrillation and sinus rhythm
Abstract Background Atrial fibrillation (AF) is associated with increased risk of incident tricuspid regurgitation (TR), but types of incident TR in AF versus sinus rhythm (SR) are not well-defined. Purpose We aimed to compare the risk of the different types of incident ≥moderate TR in AF and SR. Methods Adults first diagnosed with AF (2010-2021) who had a transthoracic echocardiogram (TTE) within 30 days after AF and adults with no diagnosis of AF who had a TTE in the same period were identified. Patients with previous cardiac surgeries, congenital heart disease, cardiomyopathy, cardiac devices, primary valve disease, previous or current ejection fraction (EF) <50%, severe diastolic dysfunction (SDD), ≥moderate left-sided valve disease (LVD), right ventricular systolic pressure (RVSP) ≥50 mmHg, ≥moderate TR, any tricuspid stenosis, or with no follow-up TTE ≥6 months from baseline were excluded. Patients were followed for the development of ≥moderate TR, the type of which was identified in a hierarchal order: 1) pacemaker-associated TR, 2) LVD-associated TR in the setting of ≥moderate LVD, 3) low EF or SDD-related TR, 4) pulmonary hypertension (PH)-associated TR if RVSP was ≥50 mmHg, 5) other ventricular functional TR (VFTR) if there was >mild RV enlargement or dysfunction, and 6) atrial functional TR (AFTR) when none of the previous was present. Patients were also followed for the occurrence of risk factors for TR (pacemaker insertion, ≥moderate LVD, low EF or SDD, PH, >mild RV enlargement or dysfunction) in a hierarchal order, and both the prevalence and future risk of the corresponding type of ≥moderate TR was determined at the onset of these conditions in AF and SR. Results Overall, 1,360 patients with new-onset AF (median age 67 years, 34% females) and 20,438 patients in SR (median age 60 years; 54% females) were included. Over median 3.8 (IQR 1.8-6.6) years, incident ≥moderate TR occurred in 110 patients with new-onset AF [2.13 per 100-person years] compared to 378 patients in SR [0.41 per 100-person years, p <.001]. All types of incident ≥moderate TR occurred more frequently in AF (p <.001 for all). The distribution and incidence of each type of TR in AF and SR are shown in Figure 1. The incidence of risk factors associated with the development of TR was higher in the AF group, except for pre-capillary PH, Figure 2A. At time of diagnosis or occurrence of these conditions, the prevalence of the corresponding TR types was higher in AF, except for pacemaker-TR, Figure 2B. The incidence of the corresponding TR type after occurrence of TR risk factors was higher in the AF group for LVD-TR and low EF/SDD-associated TR (p ≤0.03); although numerically higher in AF, the association was only borderline for PH-TR (p =0.05), Figure 2C. Conclusion Incident ≥moderate TR of all types occurred more frequently in patients with AF vs. SR and the distribution of TR types differed by rhythm. Patients with AF may benefit from a closer follow-up.Distribution and incidence rates of TRIncidence of TR risk factors & TR after
Abstract 15355: Evaluating the Electrocardiographic Characteristics of Transgender Patients Undergoing Gender-Affirming Hormone Therapy With Artificial Intelligence
Evaluating the Electrocardiographic Characteristics of Transgender Patients Undergoing Gender-affirming Hormone Therapy with Artificial Intelligence Introduction: An artificial intelligence (AI) electrocardiogram (ECG) algorithm has been demonstrated to identify a patient’s birth designated sex with 90.4% accuracy with an AUC = 0.97. However, the algorithm has not been evaluated in transgender and gender diverse individuals. We aimed to determine how the algorithm output varies among transgender individuals seen at the Mayo Clinic Transgender and Intersex Specialty Care Clinic (TISCC) who are undergoing gender-affirming hormonal treatment (GAHT). Methods: We applied the algorithm (which assessed the probability of “male” between 0 and 1, with < 0.5 considered as “female” and > 0.5 as “male”) to ECGs obtained from patients in the TISCC before and after the initiation of GAHT. GAHT frequently involves the use of testosterone in transgender men, and estrogen and anti-androgen agents in transgender women. Patient characteristics, including the date of the initiation of GAHT, were collected through chart review. Results: Among transgender women, the AI model probability of “male” decreased from 0.84± 0.25 (12/86 classified as males) to 0.59±0.36 (68/173 classified as male) with GAHT (p < 7.8e-10). Among transgender men, the AI model probability of “male” increased from 0.16 ± 0.28 (7/47 classified as male) to 0.41 ±0.38 (22/53 classified as male) with GAHT (p < 2.4e-4). Conclusion: After GAHT initiation, the Mayo Clinic AI ECG algorithm assigns a higher probability of being male among transgender men and a lower probability of being male among transgender women. These findings warrant further investigation into the electrocardiographic differences across genders and the effects of GAHT on the human heart.
Abstract 14230: Comparing Stress Echocardiography Parameters of Transgender Women With Their Cisgender Counterparts: The Mayo Clinic Women’s Heart Clinic
Introduction: Stress echocardiography (SE) is a common functional imaging modality used for the detection of symptomatic coronary artery disease (CAD). Currently, the interpretation of SE relies on sex-based comparators for reporting parameters, including exercise time and functional aerobic capacity. These parameters are based on the cisgender male and female populations but have not been studied among transgender (TG) patients. Thus, we sought to characterize the SE parameters among a group of TG women. Methods: We designed a case-control study of TG women who underwent a SE at the Mayo Clinic. Each TG patient was age-matched with 2 cis-males and 2 cis-females. Demographics, medical history, and SE data were extracted. Conditional logistic regression analysis was performed to compare the TG cohort with each cisgender cohort separately. Results: Among the 43 TG females (age 57.7±9 years, 94.9% white), the prevalence of CAD was less than in cis-males (p=0.013) but similar to cis-females. For SE parameters, TG females had higher resting heart rates than cis-males (median [Q1, Q3]: 80 [71,93] vs 70 [64, 77]; p=0.002). Double product (24816 [21156, 27864] vs 26864 [22444, 30660]; p=0.016), exercise time (7.3 minutes [6,9] vs 8.5 [7.2, 9.5]; p=0.041), and metabolic equivalents (8.2 [7, 10] vs 9.5 [8.2, 10.5]; p=0.018), were all lower in TG females than cis-males. Exercise ejection fraction was higher in the transgender cohort than in cis-females (70 [70, 75] vs 70 [65, 70]; p=0.007). There was no difference in functional aerobic capacity or in the rest or stress wall motion score indices among the groups. Finally, there was no difference in the prevalence of positive electrocardiogram or SE studies. Conclusion: In conclusion, we report for the first time SE profiles for TG females which display an overall distinct phenotype compared to cis-males and cis-females. Larger prospective studies are warranted to further define these parameters for the TG population.
Non-Invasive Cardiovascular Imaging for Cardiovascular Risk Assessment in Rheumatoid Arthritis
People with rheumatoid arthritis (RA) are often under-recognised as a group with elevated risk of cardiovascular (CV) disease and increased morbidity from CV events. Standard clinical risk assessment tools, which take into account traditional CV risk factors such as smoking, diabetes, hypertension, hyperlipidaemia, and family history do not accurately predict CV risk in patients with autoimmune rheumatic disorders; therefore, there is an unmet need for other methods to assess their risk. Non-invasive CV imaging is evolving as a novel clinical tool to determine subclinical atherosclerotic coronary artery disease in patients with RA. Non-invasive imaging studies, such as tests of endothelial function (i.e. reactive hyperaemia index and flow-mediated dilation) and arterial stiffness (i.e. pulse-wave velocity), have been identified as a potential means for providing accurate assessment of early CV risk in the general population and are evolving in their utility for patients with RA. These types of non-invasive imaging have the potential to eliminate the current use of invasive assessments for identification of precursors to coronary artery disease, such as coronary angiography for early endothelial cell dysfunction. By combining the expertise of subspecialists in cardio-rheumatology clinics, the expectation is to pre-emptively identify RA patients with early coronary artery disease, allowing early modification of risk factors through either medical management or lifestyle modification.
Analysis of Left Ventricular Indexes and Mortality Among Asian Adults With Hemodynamically Significant Chronic Aortic Regurgitation
ImportanceChronic hemodynamically significant aortic regurgitation (AR) is associated with excess risk of death, yet data for Asian patients are lacking, and whether Asian patients can abide by Western guidelines as to when aortic valve surgery should be performed is unknown.ObjectiveTo assess AR presentation and cutoffs of left ventricular ejection fraction (LVEF), LV end-systolic dimension index (LVESDi), and LV end-systolic volume index (LVESVi) that are associated with risk of death in Asian patients with AR.Design, Setting, and ParticipantsThis retrospective cohort study included consecutive patients with chronic, moderately severe to severe AR from 3 tertiary referral centers (2 in Japan and 1 in Taiwan) from June 11, 2008, through November 19, 2020, with follow-up through November 11, 2021.ExposuresAortic regurgitation severity, graded by a comprehensive integrated approach.Main Outcomes and MeasuresThe primary outcome was the association between volume-derived LVEF, LVESDi, and LVESVi and all-cause death (ACD). The secondary outcome was the association of these LV indexes with cardiovascular death (CVD). Clinical and echocardiographic data were analyzed retrospectively. A de novo disk-summation method was used to derive LV volumes and volume-derived LVEF.ResultsOf 1259 patients (mean [SD] age, 64 [17] years; 934 [74%] male), 515 (41%) were Japanese and 744 (59%) were Taiwanese. The median follow-up was 4.1 years (IQR, 1.56-7.24 years). The mean (SD) body surface area was 1.67 (0.21) m2; LVEF, 55% (11%); LVESDi, 24.7 (5.7) mm/m2; LVESVi, 50.1 (28.0) mL/m2; and indexed mid–ascending aorta size, 24.7 (5.5) mm/m2. Aortic valve surgery occurred in 483 patients (38%); 240 patients (19%) died during follow-up. Overall mean (SD) 8-year survival was 74% (2%). Separate multivariate models adjusted for covariates demonstrated independent associations of LVEF, LVESDi, and LVESVi with ACD (LVEF: hazard ratio [HR] per 10%, 0.80; 95% CI, 0.70-0.92; P = .002; LVESDi: HR, 1.04; 95% CI, 1.01-1.06; P = .002; LVESVi: HR per 10 mL/m2, 1.11; 95% CI, 1.05-1.17; P &lt; .001) and CVD (LVEF: HR per 10%, 0.69; 95% CI, 0.56-0.85; P &lt; .001; LVESDi: HR, 1.05; 95% CI, 1.01-1.09; P = .01; LVESVi per 10 mL/m2: HR, 1.15; 95% CI, 1.06-1.24; P &lt; .001). In the total cohort, spline curves showed that mortality started to increase for an LVEF of 53% or less, LVESDi of 22 mm/m2 or greater, and LVESVi of 46 mL/m2 or greater for both ACD and CVD. Early surgery was beneficial in 3 strata of LVESDi (&lt;20, 20 to &lt;25, and ≥25 mm/m2) and 2 strata of LVESVi (&lt;46 and ≥46 mL/m2).Conclusions and RelevanceThis multicenter cohort study of Asian patients with hemodynamically significant AR found cutoff values of LVEF, LVESDi, and LVESVi that were associated with increased risk of death. These findings suggest that Western guidelines seem applicable in Asian patients and, most importantly, that indexed LV parameters with a lower cutoff could be used in discriminating patients with excess mortality risk.
Trends in the prevalence of infiltrative cardiomyopathy among patients with in-hospital cardiac arrest – insight from the US national inpatient sample database
Abstract Background Sarcoidosis, amyloidosis, hemochromatosis and scleroderma are the most common systemic disorders leading to infiltrative cardiomyopathy (InCM). Each of them has been associated with conduction abnormalities and sudden cardiac death. In patients who undergo in-hospital cardiac arrest, a high index of suspicion is required to rule out InCM as an underlying contributor. Purpose We aimed to analyse the temporal trend in the prevalence of InCM among patients with in-hospital cardiac arrest and identify factors associated with increased mortality in this population. Methods We analysed data from the National Inpatient Sample (NIS), which is the largest publicly available database of in-hospital patients in the Unites States. Using ICD-10 coding, we identified patients who were hospitalized across 10 years from 2010–2019. Patients with diagnosis codes for both cardiac arrest and a subtype of InCM were included. Demographic characteristics and co-morbidity data were collected. Statistical analysis was performed using STATA. Results The total number of patients with a diagnosis of in-hospital cardiac arrest was 19,34,260. Of these, the total number with InCM was 14,803 (0.77%), which comprised our study population. Mean age was 63 years. The overall prevalence of InCM across the years ranged between 0.75 to 0.9%, with a significant temporal increase (p<0.01). Prevalence of females ranged between 51% to 62% and significantly outnumbered males across the time period. (p=0.011). Incidence of in-hospital mortality ranged between 61% to 76% for females and 30 to 38% for males. Race based analysis showed that prevalence of Caucasians ranged from 51% to 62% while that of African Americans (AA) ranged from 57% to 73%. The incidence of mortality was similar in both populations. Sarcoidosis was the most prevalent form of InCM, accounting for nearly two-fifths of all cases while amyloidosis and scleroderma both accounted for nearly 20% each. Haemochromatosis was present in 10% of the population. Overall mortality rate in our study population was 60.6%. The following co-morbidities were more prevalent in patients with InCM than those without: history of heart failure, chronic obstructive pulmonary disease (COPD), chronic kidney disease, anaemia, malignancy, coagulopathy, ventricular tachycardia, acute kidney injury and stroke. The following factors were independent predictors of in-hospital mortality-age (p=0.001), female gender (p=0.016), Hispanic race (p=0.039), history of COPD (p<0.001) and presence of malignancy (p=0.042). Conclusion The prevalence of infiltrative cardiomyopathy in patients with in-hospital cardiac arrest is increasing. Females, older patients and Hispanic population are at an increased risk of mortality. Sex and race based disparities in the prevalence of InCM in patients with in-hospital cardiac arrest is an area of further research. Funding Acknowledgement Type of funding sources: None.
Systemic sclerosis portends increased risk of conduction and rhythm abnormalities at diagnosis and during disease course: A US population-based cohort
Objectives: To study the incidence, risk factors, and outcomes of conduction and rhythm disorders in a population-based cohort of patients with systemic sclerosis versus nonsystemic sclerosis comparators. Methods: An incident cohort of patients with systemic sclerosis (1980–2016) from Olmsted County, MN, was compared to age- and sex-matched nonsystemic sclerosis subjects (1:2). Electrocardiograms, Holter electrocardiograms, and a need for cardiac interventions were reviewed to determine the occurrence of any conduction or rhythm abnormalities. Results: Seventy-eight incident systemic sclerosis cases and 156 comparators were identified (mean age 56 years, 91% female). The prevalence of any conduction disorder before systemic sclerosis diagnosis compared to nonsystemic sclerosis subjects was 15% versus 7% ( p = 0.06), and any rhythm disorder was 18% versus 13% ( p = 0.33). During a median follow-up of 10.5 years in patients with systemic sclerosis and 13.0 years in nonsystemic sclerosis comparators, conduction disorders developed in 25 patients with systemic sclerosis with cumulative incidence of 20.5% (95% confidence interval: 12.4%–34.1%) versus 28 nonsystemic sclerosis patients with cumulative incidence of 10.4% (95% confidence interval: 6.2%–17.4%) (hazard ratio: 2.57; 95% confidence interval: 1.48–4.45), while rhythm disorders developed in 27 patients with systemic sclerosis with cumulative incidence of 27.3% (95% confidence interval: 17.9%–41.6%) versus 43 nonsystemic sclerosis patients with cumulative incidence of 18.0% (95% confidence interval: 12.3%–26.4%) (hazard ratio: 1.62; 95% confidence interval: 1.00–2.64). Age, pulmonary hypertension, and smoking were identified as risk factors. Conclusion: Patients with systemic sclerosis have an increased risk of conduction and rhythm disorders both at disease onset and over time, compared to nonsystemic sclerosis patients. These findings warrant increased vigilance and screening for electrocardiogram abnormalities in systemic sclerosis patients with pulmonary hypertension.
Cardiovascular risk in lupus: looking beyond the score