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Use of Risk Assessment Tools to Guide Decision-Making in the Primary Prevention of Atherosclerotic Cardiovascular Disease: A Special Report From the American Heart Association and American College of Cardiology
Open accessAbstract
Risk assessment is a critical step in the current approach to primary prevention of atherosclerotic cardiovascular disease. Knowledge of the 10-year risk for atherosclerotic cardiovascular disease identifies patients in higher-risk groups who are likely to have greater net benefit and lower number needed to treat for both statins and antihypertensive therapy. Current US prevention guidelines for blood pressure and cholesterol management recommend use of the pooled cohort equations to start a process of shared decision-making between clinicians and patients in primary prevention. The pooled cohort equations have been widely validated and are broadly useful for the general US clinical population. But, they may systematically underestimate risk in patients from certain racial/ethnic groups, those with lower socioeconomic status or with chronic inflammatory diseases, and overestimate risk in patients with higher socioeconomic status or who have been closely engaged with preventive healthcare services. If uncertainty remains for patients at borderline or intermediate risk, or if the patient is undecided after a patient–clinician discussion with consideration of risk enhancing factors (eg, family history), additional testing with measurement of coronary artery calcium can be useful to reclassify risk estimates and improve selection of patients for use or avoidance of statin therapy. This special report summarizes the rationale and evidence base for quantitative risk assessment, reviews strengths and limitations of existing risk scores, discusses approaches for refining individual risk estimates for patients, and provides practical advice regarding implementation of risk assessment and decision-making strategies in clinical practice.
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“Technology-based solutions have the potential to meet these criteria.16”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“However, recent evidence suggests that counseling related to risk reduction for CKM syndrome in high-risk women should start in the prenatal period and continue until the completion of postpartum follow-up visits for the mother and baby.16–18”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This may be especially true in younger adults with CKM syndrome with accelerated CAC development due to multiple interrelated risk factors with high long-term CVD risk, indicating the need to start risk factor management early in the course of CKM syndrome.12–16”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“The increased prevalence of albuminuria among those with these metabolic risk factors or lower eGFR warrants regular dual testing with eGFR and UACR for case finding.16,55”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
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“Through these mechanisms, adverse SDOH lead to CKM risk factor development.16–20”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
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“The landscape of obesity management has advanced considerably in recent years, with several effective strategies for supporting weight loss.16”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
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“MBS has, to date, been shown to be superior overall in promoting long-term weight loss and reducing cardiovascular risks, morbidity, and mortality, though this may change as evidence for the benefits of GLP-1 accumulates.14–16”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
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“Bupropion/naltrexone, phentermine/topiramate, and orlistat have all shown efficacy in improving glycemia, and the latter 2, in reducing BP.”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
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“However, while both classes of agents reduce MACE and CVD mortality in T2D,39,40 the mechanisms and cardiovascular benefits associated with these agents are somewhat distinct.16”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
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“Meta-analyses of clinical trials of GLP-1 RA among the subgroup of patients with T2D and CKD have shown lower risks of declining kidney function, kidney failure, MACE, HF hospitalization, cardiovascular death, and all-cause mortality compared with placebo, regardless of SGLT2 inhibitor use.16”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“The Look AHEAD trial of an intensive lifestyle intervention in patients with overweight/obesity and T2D, with and without CVD, did not demonstrate an impact of the intensive lifestyle intervention on cardiovascular events, possibly due to modest weight loss from the intervention and high statin use among controls.16”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Both agents reduce MACE and CVD mortality, with SGLT2i having a principal impact on HF events and GLP-1–based therapy on atherosclerotic events.3,16,17”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“However, sodium zirconium cyclosilicate may increase risk of HF events.16”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
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In the citing paper
“MASLD is the pathophysiologic result of ectopic fat deposition, inflammation, and insulin resistance, which are central to CKM syndrome.16,17”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“a lower eGFR, higher UACR, and higher CKD stages are associated with VTE development and worse outcomes.16–20”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
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“Sleep disorders (eg, obstructive sleep apnea)16”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [16]
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Detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III)
Grundy, S. M., Becker, D. M., Clark, L. T., Cooper, R., Denke, M. A., Howard, J. L., Hunninghake, D. B., Illingworth, D. R., Luepker, R. V., McBride, P. E., et al. (2002) · Civil War Book Review · Cited by 12,198
European Guidelines on cardiovascular disease prevention in clinical practice (version 2012)
Authors/Task Force Members:, Perk, J., De Backer, G., Gohlke, H., Graham, I., Reiner, Ž., Verschuren, M., Albus, C., Benlian, P., Boysen, G., et al. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs092 · Cited by 8,490
General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study
D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008) · Circulation · doi:10.1161/circulationaha.107.699579 · Cited by 7,491
Stone, N. J., Robinson, J. G., Lichtenstein, A. H., Bairey Merz, C. N., Blum, C. B., Eckel, R. H., Goldberg, A. C., Gordon, D., Levy, D., Lloyd-Jones, D. M., et al. (2014) · Circulation · doi:10.1161/01.cir.0000437738.63853.7a · Cited by 7,081
Self-citationWhelton, P. K., Carey, R. M., Aronow, W. S., Casey, D. E., Collins, K. J., Dennison Himmelfarb, C., DePalma, S. M., Gidding, S., Jamerson, K. A., Jones, D. W., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.11.006 · Cited by 6,616
Self-citation2016 European Guidelines on cardiovascular disease prevention in clinical practice
Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M.-T., Corrà, U., Cosyns, B., Deaton, C., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw106 · Cited by 6,457
Grundy, S. M., Stone, N. J., Bailey, A. L., Beam, C., Birtcher, K. K., Blumenthal, R. S., Braun, L. T., de Ferranti, S., Faiella-Tommasino, J., Forman, D. E., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000625 · Cited by 6,185
Self-citation2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D’Agostino, R. B., Gibbons, R., Greenland, P., Lackland, D. T., Levy, D., O’Donnell, C. J., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.005 · Cited by 4,945
Self-citationWhelton, P. K., Carey, R. M., Aronow, W. S., Casey, D. E., Collins, K. J., Dennison Himmelfarb, C., DePalma, S. M., Gidding, S., Jamerson, K. A., Jones, D. W., et al. (2018) · Hypertension · doi:10.1161/hyp.0000000000000066 · Cited by 4,347
Self-citation
Research works printed but not linked: 1
- Fuster, V, Pearson, TA. 27th Bethesda Conference: matching the intensity of risk factor management with the hazard for coronary disease events. J Am Coll Cardiol. 1996;27:957–1047.
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Bery, K., Alherk, M. A., Yahia, M. A. M. K., & Govindankutty, K. (2022) · Scholars Journal of Applied Medical Sciences · doi:10.36347/sjams.2022.v10i05.008 · Cited by 1
Aparicio, R. E. A., Carrington, M. J., Huynh, Q. L., Ball, J., & Marwick, T. H. (2023) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2023.04.004 · Cited by 1
Saboo, N., Rao, A., & Kacker, S. (2024) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_1169_23 · Cited by 1
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Lau, C., Lyndaker, A., Shah, S., Wakim, P., Mitchell, A. L., Monroe, C. L., Kim, A. J., Cropper, T., Nair, G., Snow, J., et al. (2025) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.70074 · Cited by 1
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Fan, W. (2026) · JACC Asia · doi:10.1016/j.jacasi.2026.02.002 · Cited by 1
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Overbeck, P. (2018) · CardioVasc · doi:10.1007/s15027-018-1464-2
Prediction performance of a cardiovascular risk assessment tool using Stanford EHR data repositoryPreprint
Rezaee, M., Takeh, A., Putrenko, I., Ganna, A., & Ingelsson, E. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/648956
Advanced Lipid Thinking Prior to Incorporating Advanced Lipid Testing
Brummel, K. S., Shah, N. S., & Stone, N. J. (2019) · The American Journal of Medicine · doi:10.1016/j.amjmed.2019.05.034
Crim, C. C., Cowans, N. J., Newby, D. E., & Brook, R. D. (2020) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202003-0609le
Cardiovascular Health in Patients With Rheumatoid Arthritis
McMahon, P. A., & Ware, A. E. (2020) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2020.02.012
Coronary computed tomographic angiography and invasive coronary angiography: A reevaluation
Hecht, H. S., & Villines, T. C. (2020) · Journal of cardiovascular computed tomography · doi:10.1016/j.jcct.2020.05.004
WENGER, N. K. (2020) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2020.100093
The 2018 AHA/ACC/Multisociety Cholesterol Guidelines: A Personalized Approach to Risk Reduction
Dembowski, E., Grundy, S. M., & Stone, N. J. (2020) · Contemporary cardiology · doi:10.1007/978-3-030-56279-3_10
Gong, J., Asher, S. B., Cucchiara, B. L., Cuchel, M., & Soffer, D. E. (2021) · Journal of clinical lipidology · doi:10.1016/j.jacl.2021.01.006
Management of Cardiovascular Risk Factors in Dialysis-Dependent End Stage Kidney Disease.
Kota, H., & Gohh, R. (2021) · PubMed
Cardiovascular Risk Profile in Dupuytren’s Disease: A Systematic Review and Meta-Analysis.Preprint
Mathieu, S., Pereira, B., Dutheil, F., & Soubrier, M. (2020) · doi:10.21203/rs.3.rs-76192/v1
Socioeconomic status and myocardial infarction : influence on secondary prevention and prognosis
Ohm, J. (2021) · Figshare
Sinelnikov, Y. S., Орехова, Е. Н., Matanovskaya, T., Kopytova, E. O., & Baranová, D. (2021) · Patologiya krovoobrashcheniya i kardiokhirurgiya · doi:10.21688/1681-3472-2021-2-60-68
Azeez, T. A., Adeleye, J. O., Enigbokan, O. A., Adejimi, B., & Oladapo, J. S. (2021) · Research Square · doi:10.21203/rs.3.rs-795474/v1
How to Talk About Atherosclerotic Cardiovascular Disease Risk
Reid, D. J. (2021) · ADCES in Practice · doi:10.1177/2633559x211034490
¿Mejor una imagen que mil palabras también en la valoración del riesgo vascular?
Estruch, R., & Sacanella, E. (2021) · Revista Española de Cardiología · doi:10.1016/j.recesp.2021.06.009
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Tavares, G. A., Barreto-Filho, J. A. S., Santos, F. B., Faro, V. A. C., Xavier, M. H. C., Gobatto, F. E., Moura, I. V. D. S., Souza, V. A., Silva, W. H. D. S., Santos, G. D. C., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4015032
Wang, Y., Jiang, G., Hou, N., Chen, M., Wang, L., & Li, W. (2022) · Research Square · doi:10.21203/rs.3.rs-1470765/v1
Fan, C., Mo, L., Song, J., Huang, H.-B., Wan, Y., Xiong, L., Chen, L., Luo, S., Wu, Y., & Yang, X. (2022) · Research Square · doi:10.21203/rs.3.rs-1570904/v1
Taha, M. B., Ahuja, D., Patel, K. V., Cainzos‐Achirica, M., & Nasir, K. (2022) · Contemporary cardiology · doi:10.1007/978-3-030-98824-1_22
Cardiovascular Health Monitoring Mobile Phone Application DevelopmentPreprint
Tavares, G. A., Xavier, M. H. C., Gobatto, F. E., Moura, I. V. D. S., Souza, V. A., Silva, W. H. D. S., Santos, G. D. C., de Gaspare, E. F., Santos, F. B., Faro, V. A. C., et al. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4122008
Coronary Artery Calcium-Based Approach to Lipid Management
Kole, A., & Joshi, P. H. (2022) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-022-00704-z
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Grundy, S. M., Wang, J., & Vega, G. L. (2022) · Journal of clinical lipidology · doi:10.1016/j.jacl.2022.11.001
Maglinte, B. P. T., Junia, A. T., & Robles, J. (2022) · Journal of the ASEAN Federation of Endocrine Societies · doi:10.15605/jafes.037.02.16
Alshammari, Q. T., Alrashidi, O., Almutairi, W., Alshammari, E., Alshammari, M., G, S. K. C., Salih, M., Sulieman, A., Gameraddin, M. B., Malik, B. A., et al. (2022) · International Journal Of Pharmaceutical Research And Allied Sciences · doi:10.51847/inqvelwihv
Claesen, K., Sim, Y., Basir, S., Belder, S. D., van den Keybus, T., Edom, G. V., Stoffelen, H., Keulenaer, G. W. D., Bosmans, J. M., Bringmans, T., et al. (2023) · Journal of Thrombosis and Haemostasis · doi:10.1016/j.jtha.2023.01.029
Coorey, C. P., Knibbs, L. D., & Otton, J. M. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20095699
Pakira, V., Agarwal, R., Chatterjee, S., Mukherjee, A., & Chakraborty, S. K. (2023) · Analytical Methods · doi:10.1039/d3ay00412k · Cited by 1
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Foulds, H. J. A. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.123.030454
Novel Representation Learning Improves Personalizing Blood Test Ranges and Disease Risk PredictionPreprint
Heydari, A. A., Prieto, J. L., Patel, S., & Rezaei, N. (2023) · Research Square · doi:10.21203/rs.3.rs-3054397/v1
Évaluation du risque cardiovasculaire en pratique dans les rhumatismes inflammatoires
Goëb, V., Truffaut, S., Mailhan, L., Bouvier, A., Rogez, D., & Macarez, R. (2023) · Revue du Rhumatisme · doi:10.1016/j.rhum.2023.09.012
Yitbarek, P., Baye, A. M., Beyene, M. G., & Makonnen, E. (2023) · Research Square · doi:10.21203/rs.3.rs-3030669/v1
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Sperling, L. S., Jain, V., & Razavi, A. C. (2023) · JACC Advances · doi:10.1016/j.jacadv.2023.100677
Self-citationAkshaya, M. P., Sai, V. H. S., & Raju, C. P. (2023) · International Journal of Science and Research (IJSR) · doi:10.21275/sr231121091250
Vaghefi, E., An, S., Corbett, R., & Squirrell, D. (2024) · medRxiv · doi:10.1101/2024.02.02.24302181
Limitations of Cardiovascular Risk Scores in Primary Prevention. An Opportunity for Risk Modulators?
Siniawski, D. A., Masson, W. M., & Barbagelata, L. (2023) · Revista Argentina de Cardiología · doi:10.7775/rac.v91.i2.20609
Raghuwanshi, M. S. B., & Suryawanshi, N. A. (2024) · International Research Journal on Advanced Engineering Hub (IRJAEH) · doi:10.47392/irjaeh.2024.0169
Porter, E. M., Franck, C. T., & Adams, S. (2024) · Statistics in Medicine · doi:10.1002/sim.10113
Ageing and Mid-Life Adult Considerations
Deaton, C. (2024) · Springer eBooks · doi:10.1007/978-3-031-53705-9_23
Shetty, N. S., Gaonkar, M. P., Pampana, A., Patel, N., Irvin, M. R., Lin, H. J., Guo, X., Rich, S. S., Rotter, J. I., Budoff, M. J., et al. (2024) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2023.12.020
Kim, H.-J., Choi, H., Ahn, H.-J., Shin, S., Kim, C., Lee, S., Sohn, J., & Lee, J. J. (2024) · Research Square · doi:10.21203/rs.3.rs-4838697/v1
Watanabe, Y., Naganuma, T., Chieffo, A., Montorfano, M., Okutsu, M., Tahara, S., Hozawa, K., Nakamura, S., & Colombo, A. (2024) · Catheterization and Cardiovascular Interventions · doi:10.1002/ccd.31240
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Mewborn, E., & Swanson, A. P. (2024) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2024.105282
Metadata
- Authors
- Lloyd-Jones, D. M., Braun, L. T., Ndumele, C. E., Smith, S. C., Sperling, L. S., Virani, S. S., & Blumenthal, R. S.
- Venue
- Circulation
- Published
- 2019-06-18
- Volume
- 139
- Issue
- 25
- Pages
- e1162-e1177
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2900130109
- Semantic Scholar
- ded6a6f83fd3adbb4f38206ff400f0aaca65b22a
- Cited by
- 554
- References
- 94
- Citations by year
- 2026: 49 · 2025: 74 · 2024: 76 · 2023: 87 · 2022: 95 · 2021: 90 · 2020: 50 · 2019: 31
- FWCI
- 13.71
- Type
- journal article
- Language
- en
- Update notices
- correction (2019-06-17)
- Open access
- bronze
- doi.org
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Keywords
- atherosclerotic cardiovascular disease, primary prevention, cardiovascular risk assessment, Pooled Cohort Equations, 10-year risk, shared decision-making, statin therapy, antihypertensive therapy, coronary artery calcium, risk reclassification, risk score, racial and ethnic disparities, socioeconomic status, chronic inflammation, family history (medicine), blood pressure control, cholesterol management
- MeSH terms
- Clinical Decision-Making, Adult, Age Factors, Aged, Antihypertensive Agents, Decision Support Techniques, Female, Health Status, Humans, Male, Middle Aged, Predictive Value of Tests, Primary Prevention, Risk Factors, Sex Factors, Randomized Controlled Trials as Topic, Treatment Outcome, Risk Assessment, Patient Selection, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Evidence-Based Medicine, Consensus, Atherosclerosis, Protective Factors
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