Svatikova, Anna

Introduction: Adderall, the brand name for a combination of dextroamphetamine and amphetamine salts, is used to treat attention deficit disorder and narcolepsy, but is widely abused for improving cognitive function and alertness in absence of a medical indication. While little is known of its acute cardiovascular (CV) physiologic effects, Adderall has been linked to acute CV events (myocardial infarction, tachyarrhythmias, heart failure, Takotsubo cardiomyopathy and sudden death) and to long term CV consequences including hypertension and arterial disease. Aim: To examine the acute CV responses to Adderall in healthy subjects not on stimulant therapy in a randomized double-blind placebo-controlled crossover study. (CT.gov NCT02979327) Methods: Thirty subjects were randomized to 25 mg Adderall versus placebo. We measured supine resting blood pressure (BP), heart rate (HR), and plasma catecholamines, before and 3 hours after consuming Adderall or placebo. Results: Twenty-nine subjects (16 females; aged 25±5 yrs) completed both Adderall and placebo conditions, with a median of 10 days between visits. Systolic BP (SBP) increased from 112±10 mmHg to 127±11 mmHg after use of Adderall but was unchanged before vs after placebo drug intake (112±8 mmHg and 112±9 mmHg respectively; group by time interaction p<0.01). Diastolic BP and mean BP increased by 6.8 mmHg and 8.5 mmHg respectively and HR increased by 7.3 beats/min with Adderall, but they did not change with placebo (p<0.01). Plasma norepinephrine increased from 217±79 pg/ml before to 323±105 pg/ml after Adderall but was unchanged after placebo (p<0.05) (Figure 1). Conclusions: Healthy subjects consuming a modest dose of Adderall manifest striking increases in BP, HR and sympathetic activation, even during supine rest. These findings may have important mechanistic implications for understanding acute CV events and long-term risk of CV disease associated with stimulant medications.

Introduction: The popularity of energy drinks among young adults is rising. Warnings have been issued regarding potential health risks including adverse cardiovascular complications. We and others have previously shown that energy drink consumption increases blood pressure. The mechanisms are not fully understood. Hypothesis: We hypothesized that increase in blood pressure after drinking a commercially available energy drink, compared to a placebo, is secondary to increased sympathetic activation. Methods: In a randomized, double-blind, placebo-controlled, cross-over study, we studied 25 healthy subjects, age 29±1 years, who were free of known disease, had no known cardiovascular risk factors, and were not on any medications. Each subject consumed a can, 16-fluid ounces, of Rockstar energy drink or a placebo drink in random order on two separate days. Blood pressure (n=25) and plasma norepinephrine levels (n=23) were measured before and 30-minutes after drink consumption. Results: Despite the increase in blood pressure after drinking Rockstar energy drink, which would be expected to elicit reflex reductions in central sympathetic outflow, plasma norepinephrine levels increased markedly after energy drink consumption vs placebo (73.6±9.7% vs 30.9±9.7%, respectively, P=0.003; Figure). Specifically, plasma norepinephrine levels increased from 149.8±11.7pg/ml to 249.8±17.3pg/ml after the energy drink consumption and from 139.9±11.7pg/ml to 178.6±17.3pg/ml after placebo (P=0.0007 for timeхtreatment comparison). Conclusions: Increased blood pressure after consumption of commercially available energy drink is associated with significantly increased catecholamine levels in young healthy adults. These acute hemodynamic and adrenergic changes may predispose to increased cardiovascular risk by triggering arrhythmias or ischemia, particularly in individuals with a vulnerable cardiovascular substrate.

Introduction: Cardiac rehabilitation (CR) is a cornerstone of secondary prevention for cardiovascular disease (CVD). CR participation is associated with improvements in secondary CVD risk factor management. However, it is unclear if CR participation is associated with maintained improvements in CVD risk factor management following CR completion. Purpose: The aim of this study was to assess the impact of CR participation on CVD risk factor management at 1 and 3 years following CR completion. Methods: This retrospective study analyzed 911 patients (73% male) enrolled in the CR program at Mayo Clinic from 2013 to 2020. Patient demographics, clinical characteristics, and CVD risk factor management were examined pre and post CR as part of clinical practice and assessed passively at 1 and 3 years following CR. Secondary prevention CVD risk factor goals included total cholesterol (<200 mg/dL), HDL cholesterol (>40 mg/dL), LDL cholesterol (<100 mg/dL), triglycerides (<150 mg/dL), systolic and diastolic blood pressure (<130 and <80 mmHg), and body mass index (BMI) (18.5-24.9 kg/m 2 ). Results: The mean age was 66±12 years and on average 33±9 CR sessions were attended. Table 1 shows the percentage (%) of patients meeting the secondary prevention CVD risk factor goals. The % of patients meeting the goals for total cholesterol, LDL, triglycerides, and diastolic blood pressure were higher post than pre CR. There were no changes in the % of patients meeting the goals for total cholesterol or LDL at 1 and 3 year follow up compared to post CR. At 1 and 3 year follow up, there was a lower % of patients meeting the goals for systolic and diastolic blood pressure and triglycerides (at 1 year follow up only) than post CR. No changes were present in the % of patients meeting the goals for HDL and BMI at any timepoint (all, p>0.09). Conclusions: CR participation was associated with maintained improvements in lipid management, but not in triglycerides or blood pressure control at 1 and 3 years following CR.

Abstract Aims Some artificial intelligence models applied in medical practice require ongoing retraining, introduce unintended racial bias, or have variable performance among different subgroups of patients. We assessed the real-world performance of the artificial intelligence-enhanced electrocardiogram to detect left ventricular systolic dysfunction with respect to multiple patient and electrocardiogram variables to determine the algorithm’s long-term efficacy and potential bias in the absence of retraining. Methods and results Electrocardiograms acquired in 2019 at Mayo Clinic in Minnesota, Arizona, and Florida with an echocardiogram performed within 14 days were analyzed (n = 44 986 unique patients). The area under the curve (AUC) was calculated to evaluate performance of the algorithm among age groups, racial and ethnic groups, patient encounter location, electrocardiogram features, and over time. The artificial intelligence-enhanced electrocardiogram to detect left ventricular systolic dysfunction had an AUC of 0.903 for the total cohort. Time series analysis of the model validated its temporal stability. Areas under the curve were similar for all racial and ethnic groups (0.90–0.92) with minimal performance difference between sexes. Patients with a ‘normal sinus rhythm’ electrocardiogram (n = 37 047) exhibited an AUC of 0.91. All other electrocardiogram features had areas under the curve between 0.79 and 0.91, with the lowest performance occurring in the left bundle branch block group (0.79). Conclusion The artificial intelligence-enhanced electrocardiogram to detect left ventricular systolic dysfunction is stable over time in the absence of retraining and robust with respect to multiple variables including time, patient race, and electrocardiogram features.

Background: Obstructive sleep apnea (OSA) imposes an afterload burden on the left ventricle and increases the pressure gradient across the intrathoracic aorta. This might increase the likelihood of aortic dissection (AD). We hypothesized that patients with acute AD would have a high prevalence of previously undiagnosed OSA and a largely nocturnal presentation. Methods: 40 consecutive, consenting subjects with acute AD who survived to hospital discharge were collected from 4 institutions. Mean age was 57 (range 28-75), 24 were male. 25 had type A dissection and 15 type B. 37 completed the modified Berlin Questionnaire and 30 had attended overnight polysomnography. Presenting CT scans had aortic diameter measured at a) the sinotubular junction b) ascending aorta c) origin of innominate d) mid-arch e) origin of left subclavian f) mid-descending aorta g) level of diaphragm; CT scans at 3 months were available in 24 subjects. Results: AHI ranged from 0 - 89; prevalence of OSA (defined by apnea-hypopnea index [AHI] > 5) was 63%. There were no differences in aortic diameter at any level comparing OSA vs non-OSA, regardless of AHI cutoff (>5, >15, >30; figure). Over time aortic diameter decreased at the level of the sinotubular junction and ascending aorta (expected - due to surgery). Whether dissection occurred during overnight hours (10 PM - 7 AM) did not differ by presence/absence of OSA (regardless of AHI cutoff). In those with high-risk Berlin questionnaires (>=2 categories positive) 10/21 (48%) dissections occurred during sleeping hours vs 2/13 (15%) in low risk Berlin group (p = 0.08, Fisher’s exact test). Conclusions: Among patients with acute AD the prevalence of OSA was high. Aortic diameters, however, were not different according to level of AHI. Presence of OSA defined by polysomnography was not associated with a nocturnal presentation in this sample.

AbstractBackgroundObstructive sleep apnea (OSA) imposes an afterload burden on the left ventricle and increases the pressure gradient across the aortic wall. Thus, OSA may increase the risk for aortic dissection (AD).MethodsThis study enrolled 40 subjects with acute AD from four institutions; 37 completed the modified Berlin Questionnaire and 31 underwent attended overnight polysomnography. Aortic diameter was measured on a computed tomography scan at seven locations from the sinotubular junction to the diaphragm.ResultsTwenty‐seven subjects had type A dissection; 13 had type B. In those who had polysomnography apnea–hypopnea index (AHI) ranged from 0.7 to 89. Prevalence of OSA (AHI ≥ 5) was 61%. Nocturnal presentation (10 p.m.–7 a.m.) did not differ by presence/absence of OSA. The modified Berlin Questionnaire was not predictive of the presence of OSA. Among type A subjects with polysomnography (n = 23), aortic diameters at all locations were greater in the OSA group though differences were not statistically significant. Summating aortic diameters at the seven locations also yielded a numerically larger mean value in the OSA group versus the non‐OSA group.ConclusionsIn this sample of patients with acute dissection, OSA was prevalent but was not associated with a nocturnal presentation. The presence of underlying OSA may be associated with larger aortic diameters at the time of dissection compared to patients without OSA. Though differences did not meet statistical significance the current series is limited by small numbers.

Introduction: An increasing number of healthy adults consume energy drinks to enhance their physical and mental performance. Energy drinks contain caffeine and multiple other “natural” stimulants and their combined effects on cardiac hemodynamics in healthy individuals are unclear. Hypothesis: We hypothesized that drinking a commercially available energy drink, Rockstar , compared to a placebo drink, increases resting blood pressure and heart rate in healthy adults, and these increases would be further accentuated by stress conditions. Methods: We enrolled 25 healthy, normotensive subjects (14 males), aged 29±1 years, with body mass index 24.5±1 kg/m 2 , in a randomized, double-blind, placebo-controlled, crossover study. Each subject consumed a placebo drink and a commercially available Rockstar energy drink (473 ml), in random order on two separate study days. Blood pressure and heart rate responses were recorded and compared before and 30 minutes after drink consumption, both at rest and then in response to physical, mental and cold stressors. Results: The Rockstar energy drink induced a 6±1% increase in resting systolic blood pressure, compared to 3±1% with the placebo drink (P=0.0078). Diastolic blood pressure increased by 7±1% vs 0±1% with the placebo drink (P=0.0007; Figure 1). Heart rate increased similarly in both groups, by 5±2% in the energy drink group vs. 7±2% in the placebo group. Blood pressure and heart rate increases during the stress stimuli (sustained handgrip, mental stress and cold stress) did not differ between energy drink and placebo. Conclusions: Drinking a commercially available Rockstar energy drink significantly increases resting blood pressure in young healthy adults. Blood pressure increases are not further accentuated by exercise, mental or cold pressor stress stimuli. These hemodynamic changes induced by energy drink consumption could predispose to cardiovascular events.

Background Acute cardiac and vascular events, including myocardial infarction (MI) exhibit a peak onset between 6 AM and 11 AM. Plasminogen activator inhibitor‐1 (PAI‐1) is a main inhibitor of tissue‐plasminogen activator and a key indicator of prothrombotic state. Elevated levels of PAI‐1 have been linked to increased cardiac and vascular risk. Obstructive sleep apnea (OSA) has also been associated with increased risk of MI. Hypoxemia, as well as OSA, increase PAI‐1. We tested the hypothesis that the early morning after awakening is associated with higher PAI‐1 activity in subjects with acute MI who also have OSA. Methods We studied 56 subjects after acute myocardial infarction (mean age 60±2 years; BMI 28±1 kg/m 2 ). All subjects underwent complete overnight sleep polysomnography within 2 weeks after MI to assess for presence and severity of OSA. PAI‐1 activity was measured in all 56 subjects, first before sleep (at 9 PM), and then immediately after awakening in the morning (at 6 AM). A third measurement of PAI‐1 was obtained in all subjects at 11 AM. Results For the group, PAI‐1 activity almost doubled from 12.5±1.6 U/mL at 9 PM to 22.5±2.5 U/mL after waking at 6 AM and decreased to 14.2±2.4 U/mL by 11 AM (P<0.0001). Fifty seven percent of patients were observed to have OSA, with apnea hypopnea index of >10 events/hour. Sleep apnea did not contribute to further elevation of morning PAI‐1 activity level in acute MI patients (9 PM, 6 AM and 11 AM PAI‐1 activity respectively: no OSA 11.6±2.5 U/mL, 24.1±3.8 U/mL and 15.2±3.5 U/mL; OSA 13.3±2.1 U/mL, 21.1±3.3 U/mL and 13.3±3.3 U/mL; P=0.8 for between group comparison). Conclusions Increased PAI‐1 activity in acute MI patients may be an important mechanism underlying the early morning peak in cardiovascular events. The presence of OSA however does not appear to further accentuate the already elevated PAI‐1 activity in acute MI patients. In patients after acute MI, the diurnal variation in PAI‐1, rather than apnea, may drive the impaired fibrinolysis. Support or Funding Information ‐‐R01 grant HL65176‐‐This study was also supported in part by a gift to the Mayo Foundation by the Philips Respironics Foundation. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Abstract Introduction Voluntary sleep curtailment decreases insulin sensitivity. However, molecular mechanisms underlying impaired insulin signaling are not completely understood. To gain molecular insights, we examined the transcription of known cellular insulin-signaling regulators in adipose tissue obtained from subjects undergoing experimental sleep restriction. Methods Nineteen healthy subjects (males: 11; age: 19 - 36 years; BMI: 24.5 ± 3.6 kg/m2) underwent a normal (9 hours/night) and a restricted sleep (4 hours/night) sequence in a random order. Each inpatient stay included a screen visit followed by 4 days of acclimation and 9 days of experimental phase consisting of a controlled sleep opportunity. Eucaloric diet was provided to ensure weight maintenance. Abdominal fat sample was obtained at the screen and end of the experimental phase. mRNA was quantified by RT-PCR. Fasting morning blood draws were obtained at the end of acclimation and experimental phases. Mixed models were used for analysis. Results mRNA expression did not differ in normal and restricted sleep condition for SOCS3 [changes in normal Vs. restricted sleep, 0.02 (0.11, -0.01) Vs. 0.01 (0.12, -0.07), p=0.33], PTEN [-0.22 (0.18, -0.39) Vs. -0.10 (0.21, -0.20), p=0.22], PTB1B [-0.003 (0.04, -0.07) Vs. -0.01 (0.06, -0.06), p=0.74] and Cav-1 [-2.45 (0.78, -8.39) Vs. -6.31 (1.68, -8.29), p=0.34]. Further, transcription of insulin-receptor also did not change [0.01 (0.07, -0.06) Vs. -0.03 (0.09, -0.07), p=0.92]. However, within group analysis show significant decreases in Cav-1 mRNA only during sleep restriction (normal: p=0.09; restricted: p=0.003). Importantly, restricting sleep duration was associated with lowering of insulin (0.6 ± 1.9 Vs. -1.6 ± 1.7 uIU/ml; p=0.003), no change in glucose (-1.5 ± 3.8 Vs. -3.7 ± 4.12 mg/dl, p=0.06) and improvement in HOMA-IR index (0.12 ± 0.44 Vs -0.42 ± 0.43, p=0.002). Conclusion Chronic sleep restriction does not alter the transcription of cell-signaling regulators in abdominal adipose tissue. Moreover, restricting sleep duration without increasing calorie intake did not seem to decrease insulin sensitivity as determined by HOMA-IR. Support NIH grants HL114676, Mayo Clinic CCaTS UL1 TR002377; AHA grant 13POST16420009 to NC