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Background: Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we developed and validated the American Heart Association Predicting Risk of CVD EVENTs (PREVENT) equations among US adults 30 to 79 years of age without known CVD., Methods: The derivation sample included individual-level participant data from 25 data sets (N=3 281 919) between 1992 and 2017. The primary outcome was CVD (atherosclerotic CVD and heart failure). Predictors included traditional risk factors (smoking status, systolic blood pressure, cholesterol, antihypertensive or statin use, and diabetes) and estimated glomerular filtration rate. Models were sex-specific, race-free, developed on the age scale, and adjusted for competing risk of non-CVD death. Analyses were conducted in each data set and meta-analyzed. Discrimination was assessed using the Harrell C-statistic. Calibration was calculated as the slope of the observed versus predicted risk by decile. Additional equations to predict each CVD subtype (atherosclerotic CVD and heart failure) and include optional predictors (urine albumin-to-creatinine ratio and hemoglobin A1c), and social deprivation index were also developed. External validation was performed in 3 330 085 participants from 21 additional data sets., Results: Among 6 612 004 adults included, mean±SD age was 53±12 years, and 56% were women. Over a mean±SD follow-up of 4.8±3.1 years, there were 211 515 incident total CVD events. The median C-statistics in external validation for CVD were 0.794 (interquartile interval, 0.763-0.809) in female and 0.757 (0.727-0.778) in male participants. The calibration slopes were 1.03 (interquartile interval, 0.81-1.16) and 0.94 (0.81-1.13) among female and male participants, respectively. Similar estimates for discrimination and calibration were observed for atherosclerotic CVD- and heart failure-specific models. The improvement in discrimination was small but statistically significant when urine albumin-to-creatinine ratio, hemoglobin A1c, and social deprivation index were added together to the base model to total CVD (ΔC-statistic [interquartile interval] 0.004 [0.004-0.005] and 0.005 [0.004-0.007] among female and male participants, respectively). Calibration improved significantly when the urine albumin-to-creatinine ratio was added to the base model among those with marked albuminuria (>300 mg/g; 1.05 [0.84-1.20] versus 1.39 [1.14-1.65]; P =0.01)., Conclusions: PREVENT equations accurately and precisely predicted risk for incident CVD and CVD subtypes in a large, diverse, and contemporary sample of US adults by using routinely available clinical variables., Competing Interests: Disclosures Dr Coresh reports grants from the National Institutes of Health (NIH) and from the National Kidney Foundation during the conduct of the study and personal fees and other support from Healthy.io outside the submitted work. Dr Khan reports grants from NIH during the conduct of the study (R21 HL165376). Dr Chang reports consulting fees from Novartis, Reata, and Amgen, and grants from Novartis, Novo Nordisk, NIH, and the National Kidney Foundation. Dr Palaniappan reports grants from NIH during the conduct of the study (K24 HL150476). Dr Tuttle reports unpaid support from the American Heart Association and grant support from NIH (01MD014712, OT2OD032581, U2CDK114886, UL1TR002319, U54DK083912, U01DK100846, OT2HL161847, and UM1AI109568); the Centers for Disease Control and Prevention (75D301-21-P-12254), as well as Bayer and Travere, paid to the institution; consulting fees from Eli Lilly, Boehringer Ingelheim, AstraZeneca, Goldfinch Bio, Novo Nordisk, Bayer, and Travere Therapeutics Inc; honoraria from Eli Lilly, AstraZeneca, Novo Nordisk, and Bayer; unpaid participation as a Data Safety and Monitoring Board chair for National Institute of Diabetes and Digestive and Kidney diseases (NIDDK)/NIH and George Clinical Institute; and unpaid participation as a Diabetic Kidney Disease collaborative chair for the American Society of Nephrology. Dr Neeland reports speaker and consulting fees from Boehringer Ingelheim, Eli Lilly and Co, Nestle Health Science, and Bayer Pharmaceuticals. Dr Virani reports grants from NIH, US Department of Veterans Affairs, Tahir and Jooma Family. The views expressed in this article are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute; the National Institutes of Health; or the US Department of Health and Human Services. All other coauthors have nothing to disclose.

Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease. Epidemiological data demonstrate higher absolute risk of both atherosclerotic cardiovascular disease (CVD) and heart failure as an individual progresses from CKM stage 0 to stage 3, but optimal strategies for risk assessment need to be refined. Absolute risk assessment with the goal to match type and intensity of interventions with predicted risk and expected treatment benefit remains the cornerstone of primary prevention. Given the growing number of therapies in our armamentarium that simultaneously address all 3 CKM axes, novel risk prediction equations are needed that incorporate predictors and outcomes relevant to the CKM context. This should also include social determinants of health, which are key upstream drivers of CVD, to more equitably estimate and address risk. This scientific statement summarizes the background, rationale, and clinical implications for the newly developed sex-specific, race-free risk equations: PREVENT (AHA Predicting Risk of CVD Events). The PREVENT equations enable 10- and 30-year risk estimates for total CVD (composite of atherosclerotic CVD and heart failure), include estimated glomerular filtration rate as a predictor, and adjust for competing risk of non-CVD death among adults 30 to 79 years of age. Additional models accommodate enhanced predictive utility with the addition of CKM factors when clinically indicated for measurement (urine albumin-to-creatinine ratio and hemoglobin A1c) or social determinants of health (social deprivation index) when available. Approaches to implement risk-based prevention using PREVENT across various settings are discussed.

Cardiovascular-kidney-metabolic health reflects the interplay among metabolic risk factors, chronic kidney disease, and the cardiovascular system and has profound impacts on morbidity and mortality. There are multisystem consequences of poor cardiovascular-kidney-metabolic health, with the most significant clinical impact being the high associated incidence of cardiovascular disease events and cardiovascular mortality. There is a high prevalence of poor cardiovascular-kidney-metabolic health in the population, with a disproportionate burden seen among those with adverse social determinants of health. However, there is also a growing number of therapeutic options that favorably affect metabolic risk factors, kidney function, or both that also have cardioprotective effects. To improve cardiovascular-kidney-metabolic health and related outcomes in the population, there is a critical need for (1) more clarity on the definition of cardiovascular-kidney-metabolic syndrome; (2) an approach to cardiovascular-kidney-metabolic staging that promotes prevention across the life course; (3) prediction algorithms that include the exposures and outcomes most relevant to cardiovascular-kidney-metabolic health; and (4) strategies for the prevention and management of cardiovascular disease in relation to cardiovascular-kidney-metabolic health that reflect harmonization across major subspecialty guidelines and emerging scientific evidence. It is also critical to incorporate considerations of social determinants of health into care models for cardiovascular-kidney-metabolic syndrome and to reduce care fragmentation by facilitating approaches for patient-centered interdisciplinary care. This presidential advisory provides guidance on the definition, staging, prediction paradigms, and holistic approaches to care for patients with cardiovascular-kidney-metabolic syndrome and details a multicomponent vision for effectively and equitably enhancing cardiovascular-kidney-metabolic health in the population.

A growing appreciation of the pathophysiological interrelatedness of metabolic risk factors such as obesity and diabetes, chronic kidney disease, and cardiovascular disease has led to the conceptualization of cardiovascular-kidney-metabolic syndrome. The confluence of metabolic risk factors and chronic kidney disease within cardiovascular-kidney-metabolic syndrome is strongly linked to risk for adverse cardiovascular and kidney outcomes. In addition, there are unique management considerations for individuals with established cardiovascular disease and coexisting metabolic risk factors, chronic kidney disease, or both. An extensive body of literature supports our scientific understanding of, and approach to, prevention and management for individuals with cardiovascular-kidney-metabolic syndrome. However, there are critical gaps in knowledge related to cardiovascular-kidney-metabolic syndrome in terms of mechanisms of disease development, heterogeneity within clinical phenotypes, interplay between social determinants of health and biological risk factors, and accurate assessments of disease incidence in the context of competing risks. There are also key limitations in the data supporting the clinical care for cardiovascular-kidney-metabolic syndrome, particularly in terms of early-life prevention, screening for risk factors, interdisciplinary care models, optimal strategies for supporting lifestyle modification and weight loss, targeting of emerging cardioprotective and kidney-protective therapies, management of patients with both cardiovascular disease and chronic kidney disease, and the impact of systematically assessing and addressing social determinants of health. This scientific statement uses a crosswalk of major guidelines, in addition to a review of the scientific literature, to summarize the evidence and fundamental gaps related to the science, screening, prevention, and management of cardiovascular-kidney-metabolic syndrome.

The misuse of opioids continues to be epidemic, resulting in dependency and a recent upsurge in drug overdoses that have contributed to a significant decrease in life expectancy in the United States. Moreover, recent data suggest that commonly used opioids for the management of pain may produce undesirable pharmacological actions and interfere with critical medications commonly used in cardiovascular disease and stroke; however, the impact on outcomes remains controversial. The American Heart Association developed an advisory statement for health care professionals and researchers in the setting of cardiovascular and brain health to synthesize the current literature, to provide approaches for identifying patients with opioid use disorder, and to address pain management and overdose. A literature and internet search spanning from January 1, 2012, to February 15, 2021, and limited to epidemiology studies, reviews, consensus statements, and guidelines in human subjects was conducted. Suggestions and considerations listed in this document are based primarily on published evidence from this review whenever possible, as well as expert opinion. Several federal and institutional consensus documents and clinical resources are currently available to both patients and clinicians; however, none have specifically addressed cardiovascular disease and brain health. Although strategic tools and therapeutic approaches for recognition of opioid use disorder and safe opioid use are available for health care professionals who manage patients with cardiovascular disease and stroke, high-quality evidence does not currently exist. Therefore, there is an urgent need for more research to identify the most effective approaches to improve care for these patients.

Lifestyle modifications, particularly diet, are a key component to the reduction of cardiovascular events. Diets high in carbohydrates and saturated fat have been shown to negatively affect blood cholesterol, thereby increasing the risk for cardiovascular disease (CVD). Dietary interventions that emphasize the consumption of whole grains, fruits, and vegetables have been shown to be successful in reducing cardiovascular risk. Clinical pharmacist practitioners need to be knowledgeable regarding lifestyle modifications, specifically dietary issues, to develop a comprehensive, effective, and evidence-based plan for patients who are either at risk for or who have established CVD. Numerous studies have been published over the past few years with regard to the rapidly growing field of dietary interventions that influence cardiovascular risk, and the amount of literature can be overwhelming. Thus we chose to focus our review on articles that assess changes in dietary patterns that affect overall mortality risk from CVD. As such, literature describing the impact of dietary factors that influence weight, lipid changes, or other risk factors alone were not included in this review. A group of practitioners with expertise and interest in CVD were involved in the compilation of this article., (© 2012 Pharmacotherapy Publications, Inc.)

Enoxaparin is a low molecular weight heparin (LMWH) that has been shown to be effective in deep vein thrombosis, pulmonary embolism, and unstable angina. Because renal function plays an important role in the clearance of LMWH, the authors sought to investigate the effect of renal function on enoxaparin. This prospective multiple-dose study evaluated 18 patients with varying degrees of renal function initiated on enoxaparin 1 mg/kg subcutaneously every 12 hours. Peak blood levels of anti-Xa concentrations were obtained 4 +/- 0.5 hours postdose after receiving at least three doses of enoxaparin. The median antifactor Xa levels were higher in patients with creatinine clearance (CLCr) < or = 30 mL/min compared to CLCr > or = 31 mL/min (1.34 IU/mL vs. 0.91 IU/mL, respectively, p < 0.05). A linear correlation was established between creatinine clearance and anti-Xa concentrations (p < 0.0005). On the basis of the data, the authors believe that a dose adjustment is necessary in patients receiving repeated doses of enoxaparin with CLCr < or = 30 mL/min.