Somers, Virend K.

Abstract Introduction High sodium intake can increase blood pressure (BP) and future cardiovascular risk. Individuals with narcolepsy have an elevated cardiovascular comorbidity burden before considering medication-specific risks. Low-sodium oxybate (LXB; Xywav®) is approved by the US Food and Drug Administration (FDA) to treat excessive daytime sleepiness or cataplexy in patients ≥7 years of age with narcolepsy and idiopathic hypersomnia in adults. LXB has the same active moiety as high-sodium oxybates (sodium oxybate [SXB, Xyrem®] and fixed-dose SXB [Lumryz™]) but contains 92% less sodium. The objective of XYLO is to measure ambulatory and in-clinic systolic BP (SBP) changes after switching to LXB from a high-sodium oxybate in participants with narcolepsy (NCT05869773). Methods This 6-week, open-label, multicenter, switch study is enrolling participants 18–70 years of age with narcolepsy (type 1 or 2) taking 6–9 g/night of high-sodium oxybate for ≥6 weeks. Hybrid enrollment supports both on-site and decentralized (monitored at the participant’s home by mobile health professionals) participation, and may broaden the pool of eligible participants. After ≥2 weeks on stable high-sodium oxybate dose/regimens (screening period), participants switch to the same dose/regimen of LXB for 6 weeks (intervention period). The primary endpoint is the change in 24-hour SBP from baseline (the most recent screening measurement prior to switching) to the end-of-treatment visit (approximately 6 weeks after switching) measured via 24-hour ambulatory BP monitoring (ABPM). Secondary endpoints evaluate change from baseline to end-of-treatment visit in-clinic SBP, as well as daytime average SBP and nighttime average SBP measured via 24-hour ABPM. Results Recruitment began in June 2023. This study uses a group sequential design with an adaptive sample size target of 57–77 participants completing the 6-week intervention period. This design provides 90% power to detect a mean difference of 3.5 mmHg (a clinically relevant change) in 24-hour SBP (assuming a standard deviation of the differences in 24-hour SBP of 8 mmHg). Conclusion XYLO will enable the assessment of 24-hour BP changes following transition from a high-sodium oxybate to LXB. Planned hybrid enrollment with a decentralized option may increase study access leading to a more diverse clinical trial population. Support (if any) Jazz Pharmaceuticals

Background Although cardiovascular mortality continued declining from 2000 to 2019, the rate of this decrease decelerated. We aimed to assess the trends and disparities in risk factor control and treatment among US adults with atherosclerotic cardiovascular disease to find potential causes of the deceleration. Methods and Results A total of 55 ,021 participants, aged ≥20 years, from the 1999 to 2018 National Health and Nutrition Examination Survey were included, of which 5717 were with atherosclerotic cardiovascular disease. Risk factor control was defined as hemoglobin A1c <7%, blood pressure <140/90 mm Hg, and non–high‐density lipoprotein cholesterol <100 mg/dL. The prevalence of atherosclerotic cardiovascular disease oscillated between 7.3% and 8.9% from 1999 to 2018. A significant increasing trend was observed in the prevalence of diabetes, obesity, heavy alcohol consumption, and self‐reported hypertension within the population with atherosclerotic cardiovascular disease ( P trend ≤0.001). Non–high‐density lipoprotein cholesterol <100 mg/dL increased from 7.1% in 1999 to 2002 to 15.7% in 2003 to 2006, before plateauing. Blood pressure control (<140/90 mm Hg) increased until 2011 to 2014, but declined to 70.1% in 2015 to 2018 ( P trend <0.001, P joinpoint =0.14). Similarly, the proportion of participants achieving hemoglobin A1c control began to decrease after 2006 ( P joinpoint =0.05, P trend =0.001). The percentage of participants achieving all 3 targets increased significantly from 4.5% to 18.6% across 1999 to 2018 ( P trend =0.02), but the increasing trend decelerated after 2005 to 2006 ( P joinpoint <0.001). Striking disparities in risk factor control and medication use persisted between sexes, and between different racial and ethnic populations. Conclusions Worsened control of glycemia, blood pressure, obesity, and alcohol consumption, leveled lipid control, and persistent socioeconomic disparities may be contributing factors to the observed deceleration in decreasing cardiovascular mortality trends.

Background Extended sedentary behavior is a risk factor for chronic disease and mortality, even among those who exercise regularly. Given the time constraints of incorporating physical activity into daily schedules, and the high likelihood of sitting during office work, this environment may serve as a potentially feasible setting for interventions to reduce sedentary behavior. Methods and Results A randomized cross‐over clinical trial was conducted at an employee wellness center. Four office settings were evaluated on 4 consecutive days: stationary or sitting station on day 1 (referent), and 3 subsequent active workstations (standing, walking, or stepper) in randomized order. Neurocognitive function (Selective Attention, Grammatical Reasoning, Odd One Out, Object Reasoning, Visuospatial Intelligence, Limited‐Hold Memory, Paired Associates Learning, and Digit Span) and fine motor skills (typing speed and accuracy) were tested using validated tools. Average scores were compared among stations using linear regression with generalized estimating equations to adjust standard errors. Bonferroni method adjusted for multiple comparisons. Healthy subjects were enrolled (n=44), 28 (64%) women, mean±SD age 35±11 years, weight 75.5±17.1 kg, height 168.5±10.0 cm, and body mass index 26.5±5.2 kg/m 2 . When comparing active stations to sitting, neurocognitive test either improved or remained unchanged, while typing speed decreased without affecting typing errors. Overall results improved after day 1, suggesting habituation. We observed no major differences across active stations, except decrease in average typing speed 42.5 versus 39.7 words per minute with standing versus stepping ( P =0.003). Conclusions Active workstations improved cognitive performance, suggesting that these workstations can help decrease sedentary time without work performance impairment. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT06240286.

Introduction: The impact of COVID-19 was felt across cardiology as resources were redirected to critical care, delaying elective cardiology procedures. Hypothesis: To evaluate differences in outcomes of cardiac implantable electronic device (CIED) procedures in 2020 (height of COVID) vs. 2016-2019 (pre-COVID). Methods: Adults >= 18 years undergoing CIED procedures were identified from National Inpatient Sample Databases (NIS) 2016-2020. Complications and mortality were assessed based on the type of device: Permanent Pacemaker (PPM); Implantable Cardioverter Defibrillator (ICD); Cardiac Resynchronization Therapy with Pacemaker (CRT-P) or defibrillator (CRT-D): Leadless PPM; Generator explant (GE), and Lead extraction (LE). Results: A 13.8% drop in CIED admissions was recorded between 2019 and 2020 (p<0.01). Fewer procedures involving PPM, ICD, CRT-P, CRT-D, LE, and GE were observed between 2019 and 2020. Leadless PPM utilization rose consistently between 2016-2020 (47.6% increase during 2020 vs 2019)(Figure). In 2020, a higher proportion of patients were classified with a Charlson Comorbidity Index score of ≥3 (severe) (47.4% in 2020 vs. 42.9% in 2016-2019, p<0.01). The table shows significantly higher complications during CIED implants with no changes in mortality related to procedures. Conclusions: Patients admitted for CIED implants in 2020 had more severe comorbidities and expressed considerable differences in complications than pre-COVID era (2016-2019), but mortality remained unchanged. Leadless PPM use increased during pandemic, as against a decrease in the use of other CIEDs.

Introduction: While Coronavirus disease 2019 (COVID-19) primarily affects the respiratory system but can impact the cardiovascular system can triggering various complications. Hypothesis: To investigate the trend in age-adjusted mortality rates (AAMRs) in patients with atrial fibrillation(AF) among COVID-19-positive patients (CPP) by race and sex. Methods: Trends in AAMRs (per 100,000) from all-cause in patients with AF between April to December 2016-2020 were evaluated via the National Inpatient Sample and the US Census Bureau. The AAMRs among CPP with AF in 2020 was also evaluated between racial and sex cohorts. Results: A gradual rise in AAMR(all causes) in patients with AF was observed between 2016-2019, with a 49.4% overall rise between 2019(271 per 100,000) and 2020(405 per 100,000) ( Table 1a and Figure ). Around 250475 COVID-19-positive patients had AF, and 24.2% of cases did not survive their hospitalization (vs. 10.9% in those without AF, p<0.01, aOR 1.457, 95% CI 1.438-1.477). Among CPP males and females with AF that died, White females and males were the oldest, while Black males and females reported the highest mean Charlson Comorbidity Index (CCI) score ( Table 1b ).Furthermore, among the CPP with AF in 2020, Hispanics reported a higher AAMR (119.6 per 100,000) than Whites(111.1 per 100,000) and Blacks(101.9 per 100,000). AAMRs in males were higher in Hispanic males (144.8 per 100,000), followed by White males (129.7 per 100,000), and Black males (110 per 100,000). However, the AAMRs in females were highest in Black females (91.3 per 100,000), followed by White females (88.3 per 100,000) and Hispanic females (87.0 per 100,000). ( Table 1c ) Conclusions: AAMRs in patients with AF are on the rise and a sharp growth was seen during the first year of the pandemic. AAMRs among CPP patients with AF were highest among Black females and Hispanic males, while White males and females were oldest and Black males and females reported the highest CCI scores.

Introduction: Metabolically obese normal weight (MONW) refers to metabolic abnormalities despite normal body mass index (BMI). Hypothesis: Because obesity is generally defined by BMI, it is assumed that people with MONW do not have excessive adiposity but still have the metabolic dysregulation associated with adiposity. Methods: We included participants aged 20-65 of the National Health and Nutrition Examination Surveys from 1999-2006 and 2011-2018 with normal BMI (18.5-25 kg/m 2 ), fasting blood samples, and DEXA data. According to the AHA criteria, MONW was defined having ≥3 of the following criteria, besides a normal BMI: Hypertriglyceridemia (≥ 150 mg/dL) or treatment for elevated triglycerides; HDL cholesterol level < 40 mg/dL in men or <50 mg/dL in women or treatment for reduced HDL-C; elevated blood pressure (systolic ≥ 130 mmHg and/or diastolic ≥ 85 mmHg) or antihypertensive treatment or history of hypertension; elevated fasting plasma glucose ≥ 100 mg/dL or insulin/oral hypoglycemic treatment and central obesity by waist circumference (≥ 94 cm in men and ≥ 80 cm in women). High fat percentage was defined as ≥25% in men, ≥35% in women. Weighted logistic regression was performed to test the relation between MONW and high fat%, central obesity. Results: Of the 7,887 participants (53.6% men; mean age±SE was 39.23±0.24 years), 2433 (33.4%) had normal BMI included in the analysis. Among these, 148 had MONW (5%). Mean Fat% was 26.08±0.36% in those with MONW versus 21.90±0.17% in those without MONW for men, and 37.02±0.35% versus 33.31±0.21% for women. MONW subjects were 2.21 times more likely to have either central obesity or high fat % (OR 12.09, 95%CI: 6.18-23.67, p<0.01) and 2.18 times more likely to have high fat % (OR=2.84, 95%CI: 1.72-4.67, p<0.01) (see Figure). Conclusions: Most individuals with MONW have either increased fat content, central deposition of fat, or both. That highlights people with normal BMI may still have metabolic complications of adiposity.

Background: The role of body adiposity on metabolic dysregulation in subjects with normal body mass index (BMI) is still under debate with limited population-based evidence. Hypothesis: Body adiposity measured by dual x-ray absorptiometry (DEXA) is associated with metabolic disorders in normal-weight individuals. Methods: We evaluated a sample of adults aged 20-65 who underwent DEXA in the US National Health and Nutrition Examination Surveys from 1999-2006 and 2011-2018. We excluded those with history of cardiovascular disease, cancer, and chronic obstructive pulmonary disease. Weighted logistic regression was performed to test the association between body fat percentage (BF%) and metabolic disorders [e.g., insulin resistance (IR), metabolic syndrome (MS), dyslipidemia, type 2 diabetes mellitus (DM), hypertension]. Models were adjusted for potential confounders while considering complex survey design and were further stratified by sex and BF% as tertiles in normal-weight individuals. IR was tested as a secondary analysis to evaluate the effect on the predicted risk. Results: We included 20,613 individuals (51.5% men, 65.4% non-Hispanic whites), mean age ± SE was 39.42±0.22 years, and 6,424 were normal weight by BMI and represented our study sample. The overall BF% in these subjects measured by DEXA was 28.41±0.19%. In our cohort, metabolic disorders were prevalent in 2.1% to 40.4% of patients (Table 1). Every 10-unit % increase in total BF% was associated with a higher risk for IR, MS, dyslipidemia in the normal weight BMI group (Table 1). Metabolic disorders were associated with BF% tertiles (Figure 1). IR was significantly associated with body fat across all BF% tertiles for men and highest tertiles for women (Figure 2). Conclusion(s): Less than 1/3 of subjects in a representative national sample had a normal BMI. Even in these “normal weight” subjects, increases in body adiposity are significantly associated with increased cardiometabolic disease burden.