216. Guidelines: 2021 ESC Cardiovascular Prevention – Question #13 with Dr. Eugene Yang

06/30/22 • 11 min

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The following question refers to Section 3.2 of the 2021 ESC CV Prevention Guidelines. The question is asked by student Dr. Hirsh Elhence, answered first by Mayo Clinic Fellow Dr. Teodora Donisan, and then by expert faculty Dr. Eugene Yang. Dr. Yang is professor of medicine of the University of Washington where he is medical director of the Eastside Specialty Center and the co-Director of the Cardiovascular Wellness and Prevention Program. Dr. Yang is former Governor of the ACC Washington Chapter and current chair of the ACC Prevention of CVD Section. The CardioNerds Decipher The Guidelines Series for the 2021 ESC CV Prevention Guidelines represents a collaboration with the ACC Prevention of CVD Section, the National Lipid Association, and Preventive Cardiovascular Nurses Association. Question #13 You are seeing a 45-year-old woman with a past medical history of hypertension, overweight status, hyperlipidemia, and active tobacco use disorder. Her BMI is 27 kg/m2, BP is 150/75, HbA1C is 5.8%, total cholesterol is 234 mg/dL, HDL is 59 mg/dL, and LDL is 155 mg/dL. She is from Romania, a country with very high CVD risk. Which of the following statements is CORRECT? A. LDL-C needs to be decreased by at least 50%, as small absolute LDL-C reductions would not provide clinical benefit B. Hypertension is not an important CVD risk factor in our patient, as she is young. C. Prediabetes is not a significant CV risk factor for our patient, as she is not yet diabetic. D. Smoking confers a higher CVD risk for women than for men. E. Her weight does not increase her CVD risk, as she is overweight rather than obese Answer #13 The correct answer is D – Smoking confers a higher CVD risk for women than for men. Prolonged smoking increases the CVD risk more in women than in men. Our patient is 45 years old. CVD risk in smokers < 50 years-old is 5x higher than in non-smokers. Of note, smoking is responsible for 50% of all avoidable deaths in smokers and a lifetime smoker will lose 10 years of life, on average. Secondhand smoke and smokeless tobacco can also increase the CVD risk. Option A is incorrect. The SCORE2 risk chart for populations at very high CVD risk places her at a 14% (very high) 10-year risk for myocardial infarction, stroke, or cardiovascular death. She would derive benefit even from incremental reductions in LDL-C values. The absolute benefit of lowering LDL-C depends on both the absolute risk of ASCVD and the absolute reduction in LDL-C, so even a small absolute reduction in LDL-C may be beneficial in high- or very-high-risk patients. Furthermore, the reduction in CVD risk is proportional to the decrease in LDL-C, irrespective of the medications used to achieve such change. This remains true even when lowering LDL-C values to < 55 mg/dl. Option B is incorrect. Hypertension is a major cause of CVD regardless of age, and the risk of death from either CAD or stroke increases linearly from BP levels as low as 90 mmHg systolic and 75 mmHg diastolic upwards. Particularly relevant for our patient, lifetime BP evolution differs in women compared to men, potentially resulting in an increased CVD risk at lower BP thresholds. Option C is incorrect. Type 1 DM, type 2 DM, and prediabetes are all independent risk factors for ASCVD. Of note, it would be important to address this risk factor with our patient, as women who develop type 2 diabetes have a particularly high risk for stroke. Option E is incorrect. All-cause mortality is lowest at a BMI on 20-25 kg/m2 in apparently healthy patients. Even overweight patients are at increased CVD risk. There is a linear relationship between BMI and mortality in non-smokers and a J-shaped relationship in ever-smokers. In patients with heart failure, a lower mortality risk has been observed with higher BMI – the “obesity paradox.” It would be important to evaluate the waist circumference in our patient, as both BMI and waist circumference are associated with ASCVD risk.

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215. Atrial Fibrillation: Screening, Detection, and Diagnosis of Atrial Fibrillation with Dr. Ben Freedman

CardioNerds (Dr. Kelly Arps, Dr. Colin Blumenthal, Dr. Dan Ambinder, and Dr. Teodora Donisan) discuss the screening, detection, and diagnosis of atrial fibrillation (AF) with Dr. Ben Freedman. AF is frequently undiagnosed and its first manifestation can be a debilitating stroke. European and American guidelines differ slightly with regards to guidelines for AF screening in asymptomatic individuals. There are multiple methods available to screen for AF; the setting and the clinical scenario can help guide the choice. Consumer-led screening has its own challenges, as it can detect AF in a younger population where we should prioritize aggressive management of risk factors and comorbidities. There is uncertainty regarding the minimum AF burden that increases thromboembolic risk, however a high CHAD2S2-VASc score remains the strongest predictor of stroke risk independent of AF burden. Perioperative AF associated with non-cardiac surgery has increased risk of future stroke and adverse cardiac outcomes and should likely be treated as a new diagnosis of chronic AF. This CardioNerds Atrial Fibrillation series is a multi-institutional collaboration made possible by contributions of stellar fellow leads and expert faculty from several programs, led by series co-chairs, Dr. Kelly Arps and Dr. Colin Blumenthal. This series is supported by an educational grant from the Bristol Myers Squibb and Pfizer Alliance. All CardioNerds content is planned, produced, and reviewed solely by CardioNerds. We have collaborated with VCU Health to provide CME. Claim free CME here! Disclosures: Dr. Ben Freedman disclosed that he has received grant or research support from Pfizer. Pearls • Notes • References • Guest Profiles • Production Team CardioNerds Atrial Fibrillation PageCardioNerds Episode PageCardioNerds AcademyCardionerds Healy Honor Roll CardioNerds Journal ClubSubscribe to The Heartbeat Newsletter!Check out CardioNerds SWAG!Become a CardioNerds Patron! Pearls and Quotes - Screening, Detection, and Diagnosis of Atrial Fibrillation “Stroke is a poor early sign of AF.” AF remains frequently undiagnosed and there remains uncertainty about the optimal target population and screening methodology. “We have to tailor AF screening to the purpose we’re using it for” If in a primary care setting, check the pulse. If the goal is to exclude high-risk AF – handheld ECG for heart rhythm snapshots are appropriate. If the goal is to identify or exclude AF with a high level of certainty, continuous monitors are necessary for greater sensitivity. Consumer-led screening is performed by (mostly young) individuals using commercial monitors and smart watches, facilitating earlier recognition of paroxysmal AF in this population. In these cases, we should prioritize aggressive management of risk factors and comorbidities to reduce the risk of progression to persistent AF. There is no specific cutoff for AF duration which has been identified to predict elevated stroke risk; AF is likely both a risk factor and a risk marker for stroke, suggesting an underlying atrial myopathy. Non-cardiac surgeries and procedures can be considered “AF stress tests.” If AF occurs in these settings, it is usually more clinically significant and has a higher risk of stroke and death than AF associated with cardiac surgeries. Notes - Screening, Detection, and Diagnosis of Atrial Fibrillation Notes drafted by Dr. Teodora Donisan and reviewed by Dr. Kelly Arps 1. Why is it important to screen for AF and who should be screened? AF is frequently undiagnosed and its first manifestation can be a debilitating stroke or death. Let’s go over a few numbers: 15% of people with AF are currently undiagnosed and 75% of those individuals would be eligible for anticoagulation.1 10-38% of individuals with ischemic strokes are found to have AF as a plausible cause, and the true proportion may be even higher,

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217. Guidelines: 2021 ESC Cardiovascular Prevention – Question #14 with Dr. Allison Bailey

The following question refers to Sections 3.3-3.4 of the 2021 ESC CV Prevention Guidelines. The question is asked by student Dr. Adriana Mares, answered first by early career preventive cardiologist Dr. Dipika Gopal, and then by expert faculty Dr. Allison Bailey. Dr. Bailey is a cardiologist at Centennial Heart. She is the editor-in-chief of the American College of Cardiology's Extended Learning (ACCEL) editorial board and was a member of the writing group for the 2018 American Lipid Guidelines. The CardioNerds Decipher The Guidelines Series for the 2021 ESC CV Prevention Guidelines represents a collaboration with the ACC Prevention of CVD Section, the National Lipid Association, and Preventive Cardiovascular Nurses Association. Question #14 Ms. Soya M. Alone is a 70-year-old woman of Bangladeshi ethnicity with a history of anxiety and depression. She currently lives at home by herself, does not have many friends and family that live nearby, and has had a tough year emotionally after the passing of her husband. She spends most of her time in bed with low daily physical activity and has experienced more weakness and exhaustion over the past year along with loss of muscle mass. Which of the following are potential risk modifiers in this patient when considering her risk for CVD?A. Bangladeshi ethnicity B. Psychosocial factorsC. Frailty D. History of anxiety and depressionE. All of the above Answer #14 The correct answer is E – All of the above.Traditional 10-year CVD risk scores do not perform adequately in all ethnicities. Therefore, multiplication of calculated risk by relative risk for specific ethnic subgroups should be considered (Class IIa, LOE B). Individuals from South Asia have higher CVD rates. The ESC guidelines recommend using a correction factor by multiplying the predicted risk by 1.3 for Indians and Bangladeshis, and 1.7 for Pakistanis. These correction factors are derived from data from QRISK3. In the UK, the QRISK calculator algorithm has been derived and validated in 2.3 million people to estimate CVD risk in different ethnic groups and unlike other calculators, it counts South Asian origins as an additional risk factor. The reasons for such differences remain inadequately studied, as do the risks associated with other ethnic backgrounds. Barriers to developing accurate risk prediction tools include the wide heterogeneity amongst the population.The 2019 ACC/AHA guidelines also list high-risk race/ethnicities such as South Asian ancestry as a risk-enhancing factor. However, there is no separate pooled cohort equation for different ethnicities, and consideration should be given that the pooled cohort equations will underestimate ASCVD risk in South Asians.Psychosocial stress including loneliness and critical life events are associated, in a dose-response pattern, with the development and progression of ASCVD, with relative risks between 1.2 and 2.0. Conversely, indicators of mental health, such as optimism and a strong sense of purpose, are associated with lower risk. While there is not a specific way proposed by the guidelines for psychosocial factors to improve risk classification, it is important to screen patients with ASCVD for psychological stress, and clinicians should attend to somatic and emotional causes of symptoms as well. The ESC guidelines give a Class IIa (LOE B) recommendation for assessment of stress symptoms and psychosocial stressors.This patient should also be formally screened for frailty, which is not the same as aging but includes factors such as slowness, weakness, low physical activity, exhaustion and shrinking, and makes her more vulnerable to the effect of stressors and is a risk factor for both high CV and non-CV morbidity and mortality. However, the ability of frailty measures to improve CVD risk prediction has not been formally assessed, so the guidelines do not recommend integrating it into formal CVD risk assessment. Frailty may however,