Cited by 5,784Cardiovascular Health and Risk FactorsHealthcare Systems and Public HealthHealth Promotion and Cardiovascular Prevention

The DOI matches its Crossref record; 255 of the 255 references it cites were found in a registry or an index.

Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association

Open access

Virani, Salim S., Alonso, Alvaro, Aparicio, Hugo J., Benjamin, Emelia J., Bittencourt, Marcio S., Callaway, Clifton W., Carson, April P., Chamberlain, Alanna M., Cheng, Susan, Delling, Francesca N., Elkind, Mitchell S.V., Evenson, Kelly R., Ferguson, Jane F., Gupta, Deepak K., Khan, Sadiya S., Kissela, Brett M., Knutson, Kristen L., Lee, Chong D., Lewis, Tené T., Liu, Junxiu, Loop, Matthew Shane, Lutsey, Pamela L., Ma, Jun, Mackey, Jason, Martin, Seth S., Matchar, David B., Mussolino, Michael E., Navaneethan, Sankar D., Perak, Amanda Marma, Roth, Gregory A., Samad, Zainab, Satou, Gary M., Schroeder, Emily B., Shah, Svati H., Shay, Christina M., Stokes, Andrew, VanWagner, Lisa B., Wang, Nae-Yuh, Tsao, Connie W., On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee·2021·Circulation

DOI 10.1161/cir.0000000000000950PMC PMC13036842

Open this paper in CoChat — free account Open PDF

Abstract

Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). Methods: The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year’s worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year’s edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. Results: Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. Conclusions: The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1161/cir.0000000000000950

Cites

0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

2 retracted

Retraction and Republication: Primary Prevention of Cardiovascular Disease with a Mediterranean Diet. N Engl J Med 2013;368:1279-90.
Estruch, R., Ros, E., Salas-Salvadó, J., Covas, M.-I., Corella, D., Arós, F., Gómez-Gracia, E., Ruiz-Gutiérrez, V., Fiol, M., Lapetra, J., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmc1806491 · Cited by 1,008
Retracted
RETRACTED: Relationship between Clinic and Ambulatory Blood-Pressure Measurements and Mortality
Banegas, J. R., Ruilope, L. M., de la Sierra, A., Vinyoles, E., Gorostidi, M., de la Cruz, J. J., Ruiz-Hurtado, G., Segura, J., Rodríguez-Artalejo, F., & Williams, B. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1712231 · Cited by 490
Retracted
Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358
Self-citation
Risks and Benefits of Estrogen Plus Progestin in Healthy Postmenopausal Women: Principal Results From the Women's Health Initiative Randomized Controlled Trial
Writing Group for the Women's Health Initiative Investigators (2002) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.288.3.321 · Cited by 15,889
Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271
Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies
(2004) · The Lancet · doi:10.1016/s0140-6736(03)15268-3 · Cited by 12,717
Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study
Yusuf, S., Hawken, S., Ôunpuu, S., Dans, T., Avezum, A., Lanas, F., McQueen, M., Budaj, A., Pais, P., Varigos, J., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17018-9 · Cited by 12,026
The Physical Activity Guidelines for Americans
Piercy, K. L., Troiano, R. P., Ballard, R. M., Carlson, S. A., Fulton, J. E., Galuska, D. A., George, S. M., & Olson, R. D. (2018) · JAMA · doi:10.1001/jama.2018.14854 · Cited by 9,755
Prevalence of Childhood and Adult Obesity in the United States, 2011-2012
Ogden, C. L., Carroll, M. D., Kit, B. K., & Flegal, K. M. (2014) · JAMA · doi:10.1001/jama.2014.732 · Cited by 8,072
IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045
Cho, N. H., Shaw, J. E., Karuranga, S., Huang, Y., da Rocha Fernandes, J. D., Ohlrogge, A. W., & Malanda, B. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.02.023 · Cited by 7,283

Show all 0 references

Research works printed but not linked: 2713

World Health Organization. International Statistical Classification of Diseases and Related Health Problems, 10th Revision. 2008 ed. Geneva, Switzerland: World Health Organization; 2009.
Anderson, RN, Rosenberg, HM. Age standardization of death rates: implementation of the year 2000 standard. Natl Vital Stat Rep. 1998;47:1–16, 20.
10.1016/S0140-6736(20)30752-2 · DOI · Paper page
10.1016/j.pcad.2015.05.003 · DOI
10.1016/j.ahj.2016.02.008 · DOI
10.1161/CIRCHEARTFAILURE.116.003682 · DOI
10.1016/j.amjmed.2015.03.027 · DOI
10.1371/journal.pone.0052771 · DOI
10.1161/JAHA.116.005180 · DOI
10.1093/ajh/hpz057 · DOI
10.1016/j.hlc.2016.02.007 · DOI
10.1016/j.ijcard.2015.03.051 · DOI
10.1016/j.mayocp.2016.01.019 · DOI · Paper page
10.1136/jech-2017-210396 · DOI
10.1016/j.ypmed.2016.12.017 · DOI
10.1111/ene.13056 · DOI
10.1111/1744-7917.12513 · DOI
10.1161/ATVBAHA.118.311821 · DOI
10.3390/ijerph16112028 · DOI
10.1016/j.ijcard.2018.06.037 · DOI
10.1177/0003319718813448 · DOI
10.1016/j.jacc.2010.11.041 · DOI · Paper page
10.1016/j.ijcard.2016.03.210 · DOI
10.1001/jama.2012.339 · DOI · Paper page
10.1161/STROKEAHA.111.000352 · DOI
10.1001/jama.2012.14312 · DOI
10.1016/j.ahj.2014.12.017 · DOI
10.1161/CIRCIMAGING.114.001851 · DOI
10.1371/journal.pone.0089317 · DOI
10.1016/j.psym.2013.06.016 · DOI
10.1161/JAHA.114.001322 · DOI
10.1161/JAHA.116.004105 · DOI
10.1136/bmjopen-2016-012486 · DOI
10.1016/j.rmed.2017.08.001 · DOI
10.1161/JAHA.114.001494 · DOI
10.1161/JAHA.117.007234 · DOI
10.1016/j.ijcard.2018.07.107 · DOI
10.1161/JAHA.117.007658 · DOI
10.1161/JAHA.117.008424 · DOI
10.1016/j.ypmed.2019.105890 · DOI
10.1136/bmjopen-2017-019434 · DOI · Paper page
10.1519/JSC.0000000000003052 · DOI
10.1016/j.maturitas.2018.11.015 · DOI
10.1016/j.pmedr.2019.100922 · DOI
10.1016/j.ijcard.2015.05.007 · DOI
10.1016/j.healthplace.2017.01.005 · DOI
10.1016/j.amepre.2015.03.034 · DOI
10.1016/j.mayocp.2016.12.026 · DOI · Paper page
10.1001/jamanetworkopen.2019.4758 · DOI
10.1161/CIRCULATIONAHA.111.081083 · DOI · Paper page
10.1161/JAHA.116.003192 · DOI
10.1007/s00125-018-4792-y · DOI
10.1161/JAHA.116.005008 · DOI
10.1016/j.amepre.2015.07.039 · DOI
10.1161/CIRCULATIONAHA.112.001183 · DOI
10.1016/S0140-6736(20)30752-2 · DOI · Paper page
10.1016/S0140-6736(20)30925-9 · DOI · Paper page
10.1056/NEJMsa1211127 · DOI · Paper page
10.15585/mmwr.mm6806e1 · DOI
10.15585/mmwr.mm6845a2 · DOI
10.1056/NEJMp1805758 · DOI
10.15585/mmwr.ss6812a1 · DOI · Paper page
Drake, P, Driscoll, AK, Mathews, TJ. Cigarette smoking during pregnancy: United States, 2016. NCHS Data Brief. 20181–8.
10.1001/jamanetworkopen.2018.7794 · DOI
10.15585/mmwr.mm6744a2 · DOI
US Department of Health and Human Services. The Health Consequences of Smoking-50 Years of Progress: A Report of the Surgeon GeneralUS Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2014.
10.15585/mmwr.mm6544a2 · DOI
10.1016/j.amjmed.2019.12.020 · DOI
US Department of Health and Human Services. How Tobacco Smoke Causes Disease: The Biology and Behavioral Basis for Smoking-Attributable Disease: A Report of the Surgeon GeneralUS Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2010.
10.1186/s12889-015-1617-5 · DOI
10.1093/cid/civ013 · DOI
10.1161/STR.0000000000000046 · DOI · Paper page
10.1161/STROKEAHA.113.002342 · DOI
10.1177/2047487318806658 · DOI
10.1016/j.amjcard.2019.03.015 · DOI
10.3109/08958378.2016.1171934 · DOI
10.1093/aje/kwq191 · DOI
10.1161/CIR.0000000000000107 · DOI
10.1007/s12170-016-0505-6 · DOI
10.1016/j.tcm.2019.04.006 · DOI
10.1016/j.amepre.2018.05.004 · DOI
10.1016/j.amjmed.2019.02.016 · DOI
10.1016/j.biopsych.2018.11.024 · DOI
10.1038/s41380-018-0313-0 · DOI
10.1161/CIRCULATIONAHA.116.022069 · DOI
10.1136/tobaccocontrol-2014-052207 · DOI · Paper page
10.1093/ntr/ntz123 · DOI
10.1056/NEJMp1603294 · DOI
10.15585/mmwr.mm6828a1 · DOI
10.1161/JAHA.118.011307 · DOI
10.1001/jamanetworkopen.2019.4585 · DOI
10.1016/j.ahj.2019.03.019 · DOI
10.1001/jama.2019.10298 · DOI
10.1016/j.amepre.2008.04.009 · DOI · Paper page
10.1161/CIR.0000000000000678 · DOI · Paper page
10.1161/CIRCULATIONAHA.115.019634 · DOI
10.1016/S0140-6736(16)30272-0 · DOI · Paper page
10.1001/jamainternmed.2014.8313 · DOI
Centers for Disease Control and Prevention. Quitting smoking among adults–United States, 2001-2010. MMWR Morb Mortal Wkly Rep. 2011;60:1513–1519.
10.1016/j.amepre.2014.10.011 · DOI
10.1161/JAHA.113.000740 · DOI
10.1056/NEJMoa1808779 · DOI
10.1136/tobaccocontrol-2017-054108 · DOI
10.1001/jama.2018.0158 · DOI
10.1136/bmj.h1551 · DOI
10.1007/s10654-015-0031-8 · DOI
10.1161/CIR.0000000000000669 · DOI
10.7326/M18-1826 · DOI
Arrazola, RA, Singh, T, Corey, CG, Husten, CG, Neff, LJ, Apelberg, BJ, Bunnell, RE, Choiniere, CJ, King, BA, Cox, S, et al; Centers for Disease Control and Prevention (CDC). Tobacco use among middle and high school students–United States, 2011-2014. MMWR Morb Mortal Wkly Rep. 2015;64:381–385.
10.15585/mmwr.mm6710a3 · DOI · Paper page
10.1136/tobaccocontrol-2014-051670 · DOI
10.7326/M17-3440 · DOI
10.1093/ntr/ntz021 · DOI
Eaton, DL, Kwan, LY, Stratton, K, eds. Public Health Consequences of E-CigarettesWashington, DC: National Academies Press; 2018.
10.1093/ntr/nty089 · DOI
10.7326/M16-1107 · DOI · Paper page
10.7759/cureus.7088 · DOI
10.1001/jamanetworkopen.2019.16800 · DOI
10.1186/s12890-019-0950-3 · DOI
10.1016/j.amepre.2019.10.014 · DOI
10.1161/STROKEAHA.116.014099 · DOI
10.1016/j.ijcard.2015.07.011 · DOI
10.1371/journal.pone.0147848 · DOI
10.1016/j.jacc.2019.07.060 · DOI
10.1136/hrt.2010.199026 · DOI
Centers for Disease Control and Prevention. Vital signs: disparities in nonsmokers’ exposure to secondhand smoke–United States, 1999-2012. MMWR Morb Mortal Wkly Rep. 2015;64:103–108.
10.1016/j.amepre.2014.10.012 · DOI
10.1016/S0140-6736(18)32225-6 · DOI · Paper page
10.1016/S0140-6736(20)30752-2 · DOI · Paper page
10.15585/mmwr.mm6738a7 · DOI
10.1161/CIRCULATIONAHA.109.192703 · DOI · Paper page
US Department of Health and Human Services. Physical Activity Guidelines for Americans. 2nd ed. Department of Health and Human Services; 2018.
10.15585/mmwr.ss6708a1 · DOI · Paper page
10.1161/01.cir.0000435708.67487.da · DOI · Paper page
10.1161/CIR.0000000000000678 · DOI · Paper page
2018 Physical Activity Guidelines Advisory Committee. 2018 Physical Activity Guidelines Advisory Committee Scientific ReportUS Department of Health and Human Services; 2018.
10.1161/STR.0000000000000148 · DOI · Paper page
10.1001/jamaneurol.2017.1658 · DOI · Paper page
10.1016/j.amepre.2018.07.036 · DOI
10.1161/CIR.0b013e31827ee100 · DOI
10.1161/CIR.0000000000000461 · DOI · Paper page
10.1016/j.pcad.2014.09.008 · DOI
10.2471/BLT.18.213728 · DOI
10.1371/journal.pone.0115915 · DOI
Gahche, J, Fakhouri, T, Carroll, DD, Burt, VL, Wang, CY, Fulton, JE. Cardiorespiratory fitness levels among U.S. youth aged 12-15 years: United States, 1999-2004 and 2012. NCHS Data Brief. 20141–8.
10.1016/j.ypmed.2018.10.016 · DOI
Rideout, V. The Common Sense Census: Media Use by Kids Age Zero to EightCommon Sense Media; 2017. Accessed March 9, 2020. https://www.vjrconsulting.com/featured/2018/9/16/the-common-sense-census-media-use-by-kids-age-zero-to-eight-2017.
10.1542/peds.2016-2592 · DOI · Paper page
10.1016/j.amepre.2010.12.016 · DOI · Paper page
10.5888/pcd11.140189 · DOI
10.1186/s12966-017-0642-4 · DOI
The Nielsen Total Audience Report. 2019. Accessed October 20, 2020. https://www.nielsen.com/us/en/insights/article/2020/the-nielsen-total-audience-report-hub/.
10.1136/bjsports-2018-100056 · DOI · Paper page
10.1097/AOG.0000000000001214 · DOI
10.1249/MSS.0000000000001941 · DOI
10.1136/bjsports-2018-099399 · DOI
10.1016/j.amepre.2016.05.023 · DOI
10.1016/j.amepre.2018.07.008 · DOI
10.15585/mmwr.ss6407a1 · DOI
10.1001/jama.2018.17797 · DOI
10.1001/jama.2019.3636 · DOI
10.1016/j.amepre.2018.05.027 · DOI
Shifts in Viewing: The Cross-Platform Report: September 2014Nielsen Company; 2014.
10.1016/j.ypmed.2018.02.011 · DOI
10.1038/s41366-018-0120-3 · DOI · Paper page
10.1161/CIR.0000000000000440 · DOI · Paper page
10.1249/MSS.0000000000001607 · DOI
US Department of Health and Human Services. Step It Up! The Surgeon General’s Call to Action to Promote Walking and Walkable CommunitiesUS Dept of Health and Human Services, Office of the Surgeon General; 2015.
10.1001/jama.2016.5898 · DOI
10.1289/ehp.1510425 · DOI
Centers for Disease Control and Prevention and SHAPE America–Society of Health and Physical Educators. . Strategies for Recess in SchoolsCenters for Disease Control and Prevention, US Department of Health and Human Services; 2017.
10.1016/j.amepre.2015.06.022 · DOI
10.1249/MSS.0000000000001328 · DOI
10.5888/pcd18.170354 · DOI · Paper page
10.1136/bjsports-2014-094306 · DOI · Paper page
10.1001/jamainternmed.2015.0533 · DOI · Paper page
10.1161/JAHA.117.007677 · DOI
10.1007/s40279-018-1023-0 · DOI
10.1136/bmj.j1456 · DOI
10.1136/bjsports-2017-098540 · DOI · Paper page
10.1016/S0140-6736(16)30370-1 · DOI · Paper page
10.1093/aje/kwy125 · DOI
10.1016/j.amepre.2018.12.006 · DOI
10.1249/MSS.0000000000000885 · DOI
10.1249/MSS.0000000000001932 · DOI
10.1161/CIRCOUTCOMES.113.000531 · DOI
10.1016/j.ypmed.2019.105799 · DOI
10.1093/eurheartj/ehw249 · DOI
10.1038/ijo.2016.210 · DOI
10.3945/ajcn.116.150540 · DOI
10.1249/MSS.0000000000001310 · DOI
10.1080/02640414.2016.1260150 · DOI
10.1161/JAHA.116.004413 · DOI
10.1177/2047487314562741 · DOI
10.1161/HYPERTENSIONAHA.116.08994 · DOI
10.1249/MSS.0000000000001484 · DOI
Zwald, ML, Akinbami, LJ, Fakhouri, TH, Fryar, CD. Prevalence of low high-density lipoprotein cholesterol among adults, by physical activity: United States, 2011-2014. NCHS Data Brief. 20171–8.
10.1161/CIRCULATIONAHA.115.016938 · DOI
10.1161/CIRCULATIONAHA.116.026858 · DOI
10.1111/aogs.13151 · DOI

200 of 2713 shown

Sorted by citations

Items 101–200 of 1,044

Advances in the study and treatment of genetic cardiomyopathies
Parikh, V. N., Day, S. M., Lakdawala, N. K., Adler, E., Olivotto, I., Seidman, C. E., & Ho, C. Y. (2025) · Cell · doi:10.1016/j.cell.2025.01.011 · Cited by 43
YAP/TAZ as mechanobiological signaling pathway in cardiovascular physiological regulation and pathogenesis
Islam, R. M., & Hong, Z. (2024) · Mechanobiology in Medicine · doi:10.1016/j.mbm.2024.100085 · Cited by 44
Identification and risk stratification of coronary disease by artificial intelligence-enabled ECG
Awasthi, S., Sachdeva, N., Gupta, Y., Anto, A. G., Asfahan, S., Abbou, R., Bade, S., Sood, S., Hegstrom, L., Vellanki, N., et al. (2023) · EClinicalMedicine · doi:10.1016/j.eclinm.2023.102259 · Cited by 47
Life's Essential 8 and risk of non-communicable chronic diseases: Outcome-wide analyses
Yu, Y.-T., Sun, Y., Yu, Y., Wang, Y., Chen, C., Tan, X., Lu, Y.-L., & Wang, N. (2023) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002830 · Cited by 41
“[4] However, some flaws of Life’s Simple 7 have been recognized in recent years, such as the relatively narrow scope of health in some CVH components (i.e., diet), limitations in metric quantification, the unavailability of risk equations for young individuals, and the needs for additional metrics…”
BackgroundSelf-citation
Development of Immersive Virtual Reality-Based Hand Rehabilitation System Using a Gesture-Controlled Rhythm Game With Vibrotactile Feedback: An fNIRS Pilot Study
Bae, S., & Park, H. (2023) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2023.3312336 · Cited by 43
“their activities during daily life [1].”
An Update on Protein Kinases as Therapeutic Targets—Part I: Protein Kinase C Activation and Its Role in Cancer and Cardiovascular Diseases
Silnitsky, S., Rubin, S. J. S., Zerihun, M., & Qvit, N. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242417600 · Cited by 45
“Between 2017 and 2018, total direct and indirect costs of CVD were USD 378 billion, and they accounted for 12% of total US health expenditures during this period, which is more than any other major diagnostic group [206,207].”
Background
Comparative Effectiveness of Percutaneous Microaxial Left Ventricular Assist Device vs Intra-Aortic Balloon Pump or No Mechanical Circulatory Support in Patients With Cardiogenic Shock.
Almarzooq, Z. I., Song, Y., Dahabreh, I., Kochar, A., Ferro, E., Secemsky, E., Major, J., Farb, A., Wu, C., Zuckerman, B. D., et al. (2023) · JAMA cardiology · doi:10.1001/jamacardio.2023.1643 · Cited by 40
Autophagy protects mitochondrial health in heart failure
Tang, Y., Xu, W., Liu, Y., Zhou, J., Cui, K., & Chen, Y. (2023) · Heart Failure Reviews · doi:10.1007/s10741-023-10354-x · Cited by 41
Brown Adipose Tissue and BMP3b Decrease Injury in Cardiac Ischemia-Reperfusion
Martí-Pàmies, Í., Thoonen, R., Morley, M. P., Graves, L., Tamez, J., Caplan, A., McDaid, K. S., Yao, V., Hindle, A. G., Gerszten, R. E., et al. (2023) · Circulation Research · doi:10.1161/circresaha.122.322337 · Cited by 44
ALDH2 polymorphism and myocardial infarction: From alcohol metabolism to redox regulation
Lamb, R. J., Griffiths, K., Lip, G. Y. H., Sorokin, V. A., Frenneaux, M. P., Feelisch, M., & Madhani, M. (2024) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2024.108666 · Cited by 38
Pharmacological potentials of lycopene against aging and aging‐related disorders: A review
Abir, M. H., Mahamud, A. G. M. S. U., Tonny, S. H., Anu, M. S., Hossain, K. H. S., Protic, I. A., Khan, M. S. U., Baroi, A., Moni, A., & Uddin, M. J. (2023) · Food Science & Nutrition · doi:10.1002/fsn3.3523 · Cited by 40
Regeneration of the heart: from molecular mechanisms to clinical therapeutics
Guo, Q., Yang, J., Feng, X., & Zhou, Y. (2023) · Military Medical Research · doi:10.1186/s40779-023-00452-0 · Cited by 34
Molecular Links and Clinical Effects of Inflammation and Metabolic Background on Ischemic Stroke: An Update Review
Pacinella, G., Ciaccio, A. M., & Tuttolomondo, A. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13247515 · Cited by 39
“Indeed, hypertension prevalence increases with age, from 46% at 20–44 years to >78% in over 65 years [76].”
Ferroptosis in organ ischemia–reperfusion injuries: recent advancements and strategies
Luan, X., Chen, P., Miao, L., Yuan, X., Yu, C., & Di, G.-H. (2024) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-024-04978-2 · Cited by 36
Challenges and opportunities for increasing patient involvement in heart failure self-care programs and self-care in the post–hospital discharge period
Butler, J., Petrie, M., Bains, M., Bawtinheimer, T., Code, J. R., Levitch, T., Malvolti, E., Monteleone, P., Stevens, P., Vafeiadou, J., et al. (2023) · Research Involvement and Engagement · doi:10.1186/s40900-023-00412-x · Cited by 36
“In the United States, approximately 6 million adults have HF (based on data from 2015 to 2018); this number is estimated to increase by 46% from 2012 to 2030 [6].”
Background
Maternal cardiovascular and cerebrovascular health after placental abruption: a systematic review and meta-analysis (CHAP-SR)
Ananth, C. V., Patrick, H. S., Ananth, S., Zhang, Y., Kostis, W. J., & Schuster, M. (2021) · American Journal of Epidemiology · doi:10.1093/aje/kwab206 · Cited by 35
Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model
Venkatesh, N. P., Kumar, R. P., Neelapu, B. C., Pal, K., & Sivaraman, J. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106703 · Cited by 36
Association of Environmental Injustice and Cardiovascular Diseases and Risk Factors in the United States
Khadke, S., Kumar, A., Al-Kindi, S., Rajagopalan, S., Kong, Y.-X., Nasir, K., Ahmad, J., Adamkiewicz, G., Delaney, S. W., Nohria, A., et al. (2024) · Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease · doi:10.1161/jaha.123.033428 · Cited by 35
Paeoniflorin attenuates cuproptosis and ameliorates left ventricular remodeling after AMI in hypobaric hypoxia environments
Fang, X., Ji, Y., Li, S., Wang, L., He, B., li, B., Liang, B., Yin, H., Chen, H., Dingda, D., et al. (2024) · Journal of Natural Medicines · doi:10.1007/s11418-024-01781-7 · Cited by 31
“Despite numerous pharmacological interventions available for acute myocardial infarction (AMI) management, data from various health agencies highlight a persistent upward trend in early mortality rates associated with this condition [1].”
Background
Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface
Meyers, E., Gabrieli, D., Tacca, N., Wengerd, L., Darrow, M., Schlink, B. R., Baumgart, I., & Friedenberg, D. (2024) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01301-w · Cited by 35
“Stroke is a leading cause of long-term disability in the United States, affecting more than 800,000 people per year [1].”
An innovative model for predicting coronary heart disease using triglyceride-glucose index: a machine learning-based cohort study
Mirjalili, S. R., Soltani, S., Meybodi, Z. H., Marques-Vidal, P. M., Kraemer, A., & Sarebanhassanabadi, M. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-01939-9 · Cited by 50
“Despite improved prevention methods and treatment techniques [1, 2], it is still the leading cause of morbidity and mortality worldwide, representing 32% of all deaths [3], and an enormous stress on the national health finances [4, 5].”
Background
The effects of hesperidin supplementation on cardiovascular risk factors in adults: a systematic review and dose–response meta-analysis
Khorasanian, A. S., Fateh, S. T., Gholami, F., Rasaei, N., Gerami, H., Khayyatzadeh, S. S., Shiraseb, F., & Asbaghi, O. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1177708 · Cited by 42
Pre-hospital ECPR for Refractory Cardiac Arrest - The PRECARE pilot feasibility study.
Kruit, N., Burns, B., Shearer, N., Hui, J., Coggins, A., Buscher, H., Granger, E., Ostrowski, K., Plunkett, B., Southwood, T., et al. (2025) · Resuscitation · doi:10.1016/j.resuscitation.2025.110631 · Cited by 34
Mitochondrial DNA leakage triggers inflammation in age-related cardiovascular diseases
Ding, W., Chen, J., Zhao, L., Wu, S., Chen, X., & Chen, H. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1287447 · Cited by 41
A Phenomapping Tool and Clinical Score to Identify Low Diuretic Efficiency in Acute Decompensated Heart Failure.
Segar, M. W., Khan, M. S., Patel, K. V., Butler, J., Ravichandran, A., Walsh, M., Willett, D., Fonarow, G., Drazner, M., Mentz, R., et al. (2023) · JACC. Heart failure · doi:10.1016/j.jchf.2023.09.029 · Cited by 34
Cell-based intelligent micro/nanorobots for precise regulation and active biotherapy
Huang, G., Yin, T., Zhang, B., Ma, A.-Q., Kang, T., He, Y., Long, Y., Zheng, S., Pan, H., & Cai, L. (2023) · Matter · doi:10.1016/j.matt.2023.09.013 · Cited by 40
Age-Related Alterations in Immune Function and Inflammation: Focus on Ischemic Stroke
Chen, Q., Wu, M., Tang, Q., Yan, P., & Zhu, L. (2023) · Aging and Disease · doi:10.14336/ad.2023.0721-1 · Cited by 33
“Stroke is the leading cause of mortality and disability [1].”
Background
Trends in heart failure between 2016 and 2022 in Türkiye (TRends-HF): a nationwide retrospective cohort study of 85 million individuals across entire population of all ages
Çelik, A., Ural, D., Şahin, A., Colluoglu, I., Kanık, E., Ata, N., Arugaslan, E., Demir, E., Ayvalı, M. O., Ulgu, M. M., et al. (2023) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2023.100723 · Cited by 34
“Patients in the SES-6 group had the highest median ED visit of 7 (3 – 14) per year, while the least frequent ED visit was observed in the SES-1 group (4 [2 – 9] per year) (Table 1).”
Background
Pleiotropic effects of extracellular vesicles from induced pluripotent stem cell-derived cardiomyocytes on ischemic cardiomyopathy: A pre-clinical study.
Tominaga, Y., Kawamura, T., Ito, E., Takeda, M., Harada, A., Torigata, K., Sakaniwa, R., Sawa, Y., & Miyagawa, S. (2023) · The Journal of Heart and Lung Transplantation · doi:10.1016/j.healun.2023.08.011 · Cited by 34
Time to Benefit of Sodium-Glucose Cotransporter-2 Inhibitors Among Patients With Heart Failure
Chen, K., Nie, Z., Shi, R., Yu, D., Wang, Q., Shao, F., Wu, G., Wu, Z., Chen, T., & Li, C. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.30754 · Cited by 43
Epidemic trends of dyslipidemia in young adults: a real-world study including more than 20,000 samples
Liu, L., Aimaiti, X., Zheng, Y.-Y., Zhi, X.-Y., Wang, Z.-L., Yin, X., Pan, Y.-B., Wu, T.-T., & Xie, X. (2023) · Lipids in Health and Disease · doi:10.1186/s12944-023-01876-2 · Cited by 34
Advances in Machine Learning Approaches to Heart Failure with Preserved Ejection Fraction
Ahmad, F. S., Luo, Y., Wehbe, R. M., Thomas, J. D., & Shah, S. J. (2022) · Heart Failure Clinics · doi:10.1016/j.hfc.2021.12.002 · Cited by 34
Self-citation
Heart Failure Risk Assessment Using Biomarkers in Patients With Atrial Fibrillation: Analysis From COMBINE-AF.
Haller, P., Jarolím, P., Palazzolo, M., Bellavia, A., Antman, E., Eikelboom, J., Granger, C. B., Harrington, J. L., Healey, J., Hijazi, Z., et al. (2024) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2024.07.023 · Cited by 33
Sex- and gender-related disparities in chest pain syndromes: the feminine mystique of chest pain
Angeli, F., Ricci, F., Moscucci, F., Sciomer, S., Bucciarelli, V., Bianco, F., Mattioli, A. V., Pizzi, C., & Gallina, S. (2024) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2024.102457 · Cited by 36
Physical Activity and Cause-Specific Cardiovascular Mortality Among People With and Without Cardiovascular Disease: A Cohort Study of 0.6 Million US Adults.
Cabanas-Sánchez, V., Duarte, M. A., Lavie, C., Celis-Morales, C., Rodríguez-Artalejo, F., & Martínez-Gómez, D. (2023) · Mayo Clinic proceedings · doi:10.1016/j.mayocp.2023.05.028 · Cited by 33
Triglyceride levels and residual risk of atherosclerotic cardiovascular disease events and death in adults receiving statin therapy for primary or secondary prevention: insights from the KP REACH study
Ambrosy, A. P., Yang, J., Sung, S. H., Allen, A. R., Fitzpatrick, J. K., Rana, J. S., Wagner, J., Philip, S., Abrahamson, D., Granowitz, C., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.020377 · Cited by 32
Emerging Trends and Innovations in the Treatment and Diagnosis of Atherosclerosis and Cardiovascular Disease: A Comprehensive Review towards Healthier Aging
Alradwan, I. A., Fayez, N. A., Alomary, M. N., Alshehri, A. A., Aodah, A. H., Almughem, F. A., Alsulami, K. A., Aldossary, A. M., Alawad, A. O., Tawfik, Y. M. K., et al. (2024) · Pharmaceutics · doi:10.3390/pharmaceutics16081037 · Cited by 38
“Similarly, the years from 2011 to 2017 saw a 2.7% annual decrease in the mortality rate from coronary heart disease, reflecting the enhanced efficacy of contemporary therapeutic approaches, including statins and other cholesterol-managing medications [17].”
BackgroundInfluential
The Ketogenic Effect of SGLT-2 Inhibitors—Beneficial or Harmful?
Koutentakis, M., Kuciński, J., Świeczkowski, D., Surma, S., Filipiak, K. J., & Gąsecka, A. (2023) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd10110465 · Cited by 30
“The prevalence of HF is escalating to epidemic proportions, which can be attributed in part to the worldwide burden of cardiovascular risk factors and the aging of populations [140–144].”
Background
Expanding the Paradigm for Cardiovascular Palliative Care
Godfrey, S., Kirkpatrick, J. N., Kramer, D. B., & Sulistio, M. S. (2023) · Circulation · doi:10.1161/circulationaha.123.063193 · Cited by 38
The interaction between intestinal microenvironment and stroke
Zhao, L., Xiao, J., Li, S., Guo, Y., Fu, R., Hua, S., Du, Y., & Xu, S. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14275 · Cited by 38
Increased cardiovascular events in young patients with mental disorders: a nationwide cohort study.
Park, C., Choi, E., Han, K., Ahn, H., Kwon, S., Lee, S.-R., Oh, S., & Lip, G. (2023) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwad102 · Cited by 32
Macrophage-based pathogenesis and theranostics of vulnerable plaques
Fang, F., Wang, E., Fang, M.-J., Yue, H.-Y., Yang, H., & Liu, X.-H. (2025) · Theranostics · doi:10.7150/thno.105256 · Cited by 31
“Although age-related mortality from atherosclerosis has declined in recent years, it remains a leading global cause of death [2].”
3D printing of heart valves.
Vernon, M. J., Mela, P., Dilley, R. J., Jansen, S., Doyle, B., Ihdayhid, A., & De-Juan-Pardo, E. (2024) · Trends in Biotechnology · doi:10.1016/j.tibtech.2023.11.001 · Cited by 31
Heart Failure Remote Monitoring: A Review and Implementation How-To
Kobe, E. A., McVeigh, T., Hameed, I., & Fudim, M. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12196200 · Cited by 31
“In 2012, the economic cost of HF within the U.S. was estimated to be USD 30.7 billion, with projections to increase to USD 69.8 billion by 2030 [4,5].”
BackgroundInfluential
A narrative review of exercise participation among adults with prediabetes or type 2 diabetes: barriers and solutions
Thielen, S. C., Reusch, J. E. B., & Regensteiner, J. G. (2023) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2023.1218692 · Cited by 34
Machine learning in predicting outcomes for stroke patients following rehabilitation treatment: A systematic review
Zu, W., Huang, X., Xu, T., Du, L., Wang, Y., Wang, L., & Nie, W. (2023) · PLoS ONE · doi:10.1371/journal.pone.0287308 · Cited by 35
“patients suffering from the effects of stroke, the importance and burden of stroke rehabilitation are high [1, 2].”
Background
Acute pulmonary embolism: Diagnosis and management
Khandait, H., Harkut, P., Khandait, V., & Bang, V. (2023) · Indian Heart Journal · doi:10.1016/j.ihj.2023.05.007 · Cited by 31
Robotic arm use for upper limb rehabilitation after stroke: A systematic review and meta‐analysis
Lee, B., Saragih, I. D., & Batubara, S. O. (2023) · The Kaohsiung Journal of Medical Sciences · doi:10.1002/kjm2.12679 · Cited by 38
Cardiovascular risk factors management in older adults: a clinical consensus statement from the European Association of Preventive Cardiology of the ESC and the ESC Council for Cardiology Practice
Pedretti, R. F. E., Asteggiano, R., Gevaert, A. B., Bowen, T. S., Caselli, S., Cornelissen, V., Christodorescu, R., Derosa, G., Diévart, F., Kurpas, D., et al. (2025) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwaf175 · Cited by 32
Engineered hybrid cell membrane nanosystems for treating cardiovascular diseases
Lu, H., Jiang, Y., Luo, R., Zhou, D., Zheng, F., Shi, L., Zhang, H., Wang, Y., Xu, X., Zou, R., et al. (2025) · Materials Today Bio · doi:10.1016/j.mtbio.2025.101992 · Cited by 19
“CVDs account for approximately 32 % (17.9 million cases) of total global mortality annually, with acute myocardial infarction (MI) and cerebrovascular accidents constituting the predominant etiologies, representing 85 % of CVD-related fatalities [4].”
Influential
Analysis of gene expression in the postmortem brain of neurotypical Black Americans reveals contributions of genetic ancestry
Benjamin, K. J., Chen, Q., Eagles, N. J., Huuki-Myers, L. A., Collado‐Torres, L., Stolz, J. M., Pertea, G. M., Shin, J. H., Paquola, A. C. M., Hyde, T. M., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01636-0 · Cited by 38
“For instance, small-vessel and ischemic stroke are 50% more frequent in BAs, and Black men are up to 70% more likely to die from stroke compared to non-Hispanic white men 40,41 .”
Targeting estrogen receptor signaling for treating heart failure
Qian, C., Liu, J.-J., & Liu, H.-D. (2023) · Heart Failure Reviews · doi:10.1007/s10741-023-10356-9 · Cited by 30
“Cardiovascular disease continues to be a major cause of mortality worldwide [1].”
BackgroundSelf-citation
Top-down and bottom-up stimulation techniques combined with action observation treatment in stroke rehabilitation: a perspective
Qi, F., Nitsche, M. A., Ren, X., Wang, D., & Wang, L. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1156987 · Cited by 32
Updated Systematic Review and Quantitative Synthesis of Physical Activity Levels in Multiple Sclerosis
Jeng, B., DuBose, N. G., Martin, T. B., Šilić, P., Flores, V. A., Zheng, P.-X., & Motl, R. (2023) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0000000000002312 · Cited by 30
Assessment of cardiovascular disease risk: a 2023 update
Goldsborough, E. F., Tasdighi, E., & Blaha, M. J. (2023) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000887 · Cited by 44
CircRNAs: versatile players and new targets in organ fibrosis
Wei, L., Liu, L., Bai, M., Ning, X., & Sun, S. (2023) · Cell Communication and Signaling · doi:10.1186/s12964-023-01051-1 · Cited by 30
The effects of Robot-assisted gait training and virtual reality on balance and gait in stroke survivors: A randomized controlled trial.
Akıncı, M., Burak, M., Yaşar, E., & Kilic, R. T. (2023) · Gait & Posture · doi:10.1016/j.gaitpost.2023.05.013 · Cited by 30
Determining the Acceptance of Digital Cardiac Rehabilitation and Its Influencing Factors among Patients Affected by Cardiac Diseases
Bäuerle, A., Mallien, C., Rassaf, T., Jahre, L., Rammos, C., Skoda, E.-M., Teufel, M., & Lortz, J. (2023) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd10040174 · Cited by 30
Vasomotor symptoms and their links to cardiovascular disease risk
Carson, M. Y., & Thurston, R. (2023) · Current Opinion in Endocrine and Metabolic Research · doi:10.1016/j.coemr.2023.100448 · Cited by 30
Evaluating machine learning models for stroke prediction based on clinical variables
Akinwumi, P. O., Ojo, S., Nathaniel, T. I., Wanliss, J. A., Karunwi, O., & Sulaiman, M. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1668420 · Cited by 31
Overweight, obesity, and cardiovascular disease in heterozygous familial hypercholesterolaemia: the EAS FH Studies Collaboration registry
Elshorbagy, A., Vallejo-Vaz, A., Barkas, F., Lyons, A. R., Stevens, C. A. T., Dharmayat, K. I., Catapano, A., Freiberger, T., Hovingh, G., Mata, P., et al. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehae791 · Cited by 29
Long-term statin therapy is associated with severe coronary artery calcification
Ngamdu, K. S., Ghosalkar, D. S., Chung, H. E., Christensen, J. L., Lee, C. F., Butler, C. A., Ho, T., Chu, A., Heath, J. R., Baig, M., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0289111 · Cited by 28
Self-citation
Improving Coronary Heart Disease Prediction Through Machine Learning and an Innovative Data Augmentation Technique
Al-Ssulami, A. M., Alsorori, R. S., Azmi, A. M., & Aboalsamh, H. (2023) · Cognitive Computation · doi:10.1007/s12559-023-10151-6 · Cited by 29
“In addition, the average annual cost of heart disease from 2016 to 2017 was $219.6 billion [4].”
BackgroundInfluential
Gender Bias in Clinical Trial Enrollment: Female Authorship Matters.
Chhaya, V. Y., Binion, C., Mulles, S. M., Tannhauser, P. A., Aziz, D. Z., Greenwood, J. D., Barlek, M., Rouan, J. R., Wyatt, T. G., & Kibbe, M. (2023) · Annals of Vascular Surgery · doi:10.1016/j.avsg.2023.03.008 · Cited by 29
Efficacy and tolerability of the subcutaneous semaglutide for type 2 diabetes patients: an updated systematic review and meta-analysis
Hu, S., Su, X., & Fan, G. (2023) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-023-01195-7 · Cited by 28
Tooth Loss is a Risk Factor for Cardiovascular Disease Mortality: A Systematic Review with Meta-Analyses.
Aminoshariae, A., Nosrat, A., Jakovljevic, A., Jaćimović, J., Narasimhan, S., & Nagendrababu, V. (2024) · Journal of Endodontics · doi:10.1016/j.joen.2024.06.012 · Cited by 28
Prehospital Ground and Helicopter-Based Extracorporeal Cardiopulmonary Resuscitation (ECPR) Reduce Barriers to ECPR: A GIS Model
Gottula, A. L., Qi, M., Lane, B. H., Shaw, C. R., Gorder, K. L., Powell, E., Danielson, K. R., Ciullo, A. L., Johnson, N. J., Tonna, J. E., et al. (2024) · Prehospital Emergency Care · doi:10.1080/10903127.2024.2355652 · Cited by 28
Bridging gaps and optimizing implementation of guideline-directed medical therapy for heart failure
Shahid, I., Khan, M. S., Fonarow, G. C., Butler, J., & Greene, S. J. (2024) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2024.01.008 · Cited by 33
Impact of Digital Health Technology on Quality of Life in Patients With Heart Failure.
Victoria-Castro, A., Martin, M., Yamamoto, Y., Melchinger, H., Weinstein, J., Nguyen, A., Lee, K. A., Gerber, B. A., Calderon, F., Subair, L., et al. (2023) · JACC. Heart failure · doi:10.1016/j.jchf.2023.09.022 · Cited by 28
Recent Advances in Microbiota-Associated Metabolites in Heart Failure
Masenga, S., Povia, J. P., Lwiindi, P., & Kirabo, A. (2023) · Biomedicines · doi:10.3390/biomedicines11082313 · Cited by 28
Health Experiences of African American Mothers, Wellness in the Postpartum Period and Beyond (HEAL): A Qualitative Study Applying a Critical Race Feminist Theoretical Framework
Ogunwole, S. M., Oguntade, H. A., Bower, K. M., Cooper, L. A., & Bennett, W. L. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20136283 · Cited by 32
Dual human iPSC-derived cardiac lineage cell-seeding extracellular matrix patches promote regeneration and long-term repair of infarcted hearts
Jiang, Y., Zhang, L.-L., Zhang, F., Bi, W., Zhang, P., Yu, X.-J., Rao, S.-L., Wang, S.-H., Li, Q., Ding, C.-B., et al. (2023) · Bioactive Materials · doi:10.1016/j.bioactmat.2023.05.015 · Cited by 28
Large animal models of cardiac ischemia-reperfusion injury: Where are we now?
Rahman, A., 香港中文大学医学院内科与药物治疗学系, 香., Li, Y., Chan, T.-K., Zhao, H., Xiang, Y., Chang, X., Zhou, H., Xu, D., Ong, S., et al. (2023) · 动物学研究 · doi:10.24272/j.issn.2095-8137.2022.487 · Cited by 31
Study on the action mechanism of Buyang Huanwu Decoction against ischemic stroke based on S1P/S1PR1/PI3K/Akt signaling pathway.
Liu, W., Huang, J., Zhu, L.-X., Pei, D., & Zhang, Y.-F. (2023) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2023.116471 · Cited by 28
Sex Differences in Physical Activity and Incident Stroke: A Systematic Review
Madsen, T. E., Samaei, M., Pikula, A., Yu, A. Y. X., Carcel, C., Millsaps, E., Yalamanchili, R. S., Bencie, N., Dula, A. N., Leppert, M., et al. (2022) · Clinical Therapeutics · doi:10.1016/j.clinthera.2022.02.006 · Cited by 27
Monogenic and Polygenic Models of Coronary Artery Disease
Muse, E. D., Chen, S.-F., & Torkamani, A. (2021) · Current Cardiology Reports · doi:10.1007/s11886-021-01540-0 · Cited by 27
iCARDIO Alliance Global Implementation Guidelines on Heart Failure 2025
Chopra, V. K., Khan, M. S., Abdelhamid, M., Abraham, W. T., Amir, O., Anker, S., Atherton, J. J., Bacal, F., von Bardeleben, R., Brito, D., et al. (2025) · Heart Views · doi:10.4103/heartviews.heartviews_37_26 · Cited by 27
Inflammatory Association between Periodontal Disease and Systemic Health
Hasan, F., Tandon, A., AlQallaf, H., John, V., Sinha, M., & Gibson, M. P. (2025) · Inflammation · doi:10.1007/s10753-025-02317-1 · Cited by 37
“Heart disease is the No. 1 killer of women and is more deadly than all forms of cancer combined [70].”
Association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and angina pectoris in US adults: a cross-sectional retrospective study based on NHANES 2009–2018
Cui, Y., & Choi, M. (2024) · Lipids in Health and Disease · doi:10.1186/s12944-024-02343-2 · Cited by 27
“Its estimated prevalence ranges from 2% to over 10% in the general adult population and demonstrates an increasing trend over time [4–7].”
Background
Metrnl: a promising biomarker and therapeutic target for cardiovascular and metabolic diseases
Dong, W.-S., Hu, C., Hu, M., Gao, Y.-P., Hu, Y., Li, K., Ye, Y.-J., & Zhang, X. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01767-8 · Cited by 32
“Mainly caused by abnormal metabolic processes, CVMD is one of the most common causes of morbidity and mortality globally, which imposes enormous social and economic burden on the healthcare system and individuals [1, 2].”
Background
Neighborhood-Level Disparities in Hypertension Prevalence and Treatment Among Middle-Aged Adults
Blazel, M. M., Perzynski, A., Gunsalus, P., Mourany, L., Gunzler, D. D., Jones, R. W., Pfoh, E. R., & Dalton, J. E. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.29764 · Cited by 27
Nanoparticles as Drug Delivery Systems for the Targeted Treatment of Atherosclerosis
Pang, A. S., Dinesh, T., Pang, N. Y., Dinesh, V., Pang, K. Y., Yong, C. L., Lee, S., Yip, G. W. C., Bay, B., & Srinivasan, D. K. (2024) · Molecules · doi:10.3390/molecules29122873 · Cited by 31
“…and abrupt cardiac death [11,12]. vulnerab8-le plaques that can result in occlusive luminal thrombosis and its aftere ﬀ ects, which include myocardial infarction (MI), stroke, and abrupt Molecules 2024 , 29 , 2873 2 of 26 Molecules 2024 , 29 , x FOR PEER REVIEW 2 of 27 cardiac death [11,12].”
Background
Cardiometabolic Disease Staging and Major Adverse Cardiovascular Event Prediction in 2 Prospective Cohorts
Howell, C. R., Zhang, L., Mehta, T. S., Wilkinson, L., Carson, A. P., Levitan, E. B., Cherrington, A., Yi, N., & Garvey, W. T. (2024) · JACC Advances · doi:10.1016/j.jacadv.2024.100868 · Cited by 36
Self-citation
Global, regional, and national burden of heart failure and its risk factors between 1990 and 2021 and projections to 2050: an analysis of the global burden of disease study
Yan, S.-H., Deng, P.-Z., Chai, K., Wang, S.-F., Hu, K., Yang, J.-F., & Wang, H. (2025) · European Heart Journal - Quality of Care and Clinical Outcomes · doi:10.1093/ehjqcco/qcaf054 · Cited by 26
Mitochondrial Reactive Oxygen Species Dysregulation in Heart Failure with Preserved Ejection Fraction: A Fraction of the Whole
Martinez, C. S., Zheng, A., & Xiao, Q. (2024) · Antioxidants · doi:10.3390/antiox13111330 · Cited by 26
Integrity and Privacy Assurance Framework for Remote Healthcare Monitoring Based on IoT
Alharbi, S., Alzahrani, A., Syed, T. A., & Alqahtany, S. S. (2024) · De Computis · doi:10.3390/computers13070164 · Cited by 26
A few-shot learning-based ischemic stroke segmentation system using weighted MRI fusion
Alshehri, F., & Ghulam, M. (2023) · Image and Vision Computing · doi:10.1016/j.imavis.2023.104865 · Cited by 26
Effect of Exercise Training on Some Anti-Inflammatory Adipokines, High Sensitivity C-Reactive Protein, and Clinical Outcomes in Sedentary Adults With Metabolic Syndrome
Gao, K., Su, Z., Meng, J., Yao, Y., Li, L., Su, Y., & Rahimi, G. R. M. (2023) · Biological Research For Nursing · doi:10.1177/10998004231195541 · Cited by 32
“Recent statistics reveal that in 2019, approximately 460 million individuals, accounting to 6.25% of the world ’ s population, experienced type 2 diabetes (Virani et al., 2021).”
BackgroundInfluential
Impact of lifestyle-based interventions on absolute cardiovascular disease risk: a systematic review and meta-analysis
Kariuki, J., Imes, C., Engberg, S., Scott, P., Klem, M., & Cortés, Y. I. (2023) · JBI Evidence Synthesis · doi:10.11124/jbies-22-00356 · Cited by 26
Angiotensin-Converting Enzyme 2 Activation Is Not a Common Feature of Angiotensin-Converting Enzyme Inhibitory Peptides.
Wang, Z., Fan, H.-B., Bao, X., & Wu, J. (2023) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.2c04211 · Cited by 26
Early menopause is associated with increased risk of heart failure and atrial fibrillation: A systematic review and meta-analysis.
Liu, J., Jin, X., Chen, W., Wang, L., Feng, Z.-Y., & Huang, J. (2023) · Maturitas · doi:10.1016/j.maturitas.2023.107784 · Cited by 26
Self-citation
Higher Hospital Frailty Risk Score Is Associated With Increased Risk of Stroke: Observational and Genetic Analyses
Renedo, D. B., Acosta, J., Koo, A. B., Rivier, C. A., Sujijantarat, N., de Havenon, A., Sharma, R., Gill, T. M., Sheth, K. N., Falcone, G. J., et al. (2023) · Stroke · doi:10.1161/strokeaha.122.041891 · Cited by 32
Neutrophil-to-lymphocyte ratio as a predictor of all-cause and cardiovascular mortality in coronary heart disease and hypertensive patients: a retrospective cohort study
Song, S., Chen, L.-W., Yu, R., & Zhu, J.-X. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1442165 · Cited by 25
Heart–brain interaction in cardiogenic dementia: pathophysiology and therapeutic potential
Liu, J., Xiao, G., Liang, Y., He, S., Lyu, M., & Zhu, Y. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1304864 · Cited by 25
Self-citation
Malondialdehyde (MDA) and 8-hydroxy-2′-deoxyguanosine (8-OHdG) in ischemic stroke: a systematic review
Tugasworo, D., Prasetyo, A., Kurnianto, A., Retnaningsih, R., Andhitara, Y., Ardhini, R., & Budiman, J. (2023) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-023-00688-6 · Cited by 26
“000 from 2010 to 2016 in 35–64 years of age; while Centers for Disease Control and Prevention (CDC) reported that every 4 min someone dies due to stroke, and stroke also reduces mobility in more than 50% of stroke geriatric survivors [4, 5].”
Background
Prevalence estimates of the insulin resistance and associated prevalence of heart failure among United Status adults
Li, X., Wang, J., Niu, L., Tan, Z., Ma, J.-Y., He, L., Yu, P., Liu, X., & Li, J.-X. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03294-9 · Cited by 25
“2 mmol/L) [11], or the use of lipid-lowering drugs, or a history of dyslipidemia were all considered to be diagnostic criteria for dyslipidemia.”
BackgroundSelf-citation
Automated Assessment of Cardiac Systolic Function From Coronary Angiograms With Video-Based Artificial Intelligence Algorithms
Avram, R., Barrios, J. P., Abreau, S. A., Goh, C. Y., Ahmed, Z., Chung, K., So, D. Y. F., Olgin, J. E., & Tison, G. H. (2023) · JAMA Cardiology · doi:10.1001/jamacardio.2023.0968 · Cited by 29
The Bidirectional Association of Chronic Kidney Disease, Type 2 Diabetes, Atherosclerotic Cardiovascular Disease, and Heart Failure: The Cardio–Renal–Metabolic Syndrome
Nichols, G., Amitay, E., Chatterjee, S., & Steubl, D. (2023) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2023.0006 · Cited by 25
Economic evaluation and costs of remote patient monitoring for cardiovascular disease in the United States: a systematic review
Zhang, Y.-X., Pena, M. T., Fletcher, L. M., Lal, L., Swint, J., & Reneker, J. C. (2023) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462323000156 · Cited by 25
Racial, ethnic, and sex disparities in atrial fibrillation management: rate and rhythm control
Gomez, S. E., Fazal, M., Nunes, J. C., Shah, S., Perino, A. C., Narayan, S. M., Tamirisa, K. P., Han, J. K., Rodriguez, F., & Baykaner, T. (2022) · Journal of Interventional Cardiac Electrophysiology · doi:10.1007/s10840-022-01383-x · Cited by 24
Self-citation

Authors: Virani, S. S., Alonso, A., Aparicio, H. J., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Cheng, S., Delling, F. N., Elkind, M. S. V., Evenson, K. R., Ferguson, J. F., Gupta, D. K., Khan, S. S., Kissela, B. M., Knutson, K. L., Lee, C. D., Lewis, T. T., Liu, J., Loop, M. S., Lutsey, P. L., Ma, J., Mackey, J., Martin, S. S., Matchar, D. B., Mussolino, M. E., Navaneethan, S. D., Perak, A. M., Roth, G. A., Samad, Z., Satou, G. M., Schroeder, E. B., Shah, S. H., Shay, C. M., Stokes, A., VanWagner, L. B., Wang, N.-Y., Tsao, C. W., & On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee
ORCID: Virani, Salim S.
Aparicio, Hugo J.
Benjamin, Emelia J.
Callaway, Clifton W.
Carson, April P.
Chamberlain, Alanna M.
Cheng, Susan
Delling, Francesca N.
Elkind, Mitchell S.V.
Evenson, Kelly R.
Ferguson, Jane F.
Gupta, Deepak K.
Khan, Sadiya S.
Knutson, Kristen L.
Lee, Chong D.
Lewis, Tené T.
Liu, Junxiu
Loop, Matthew Shane
Lutsey, Pamela L.
Ma, Jun
Mackey, Jason
Martin, Seth S.
Matchar, David B.
Navaneethan, Sankar D.
Perak, Amanda Marma
Roth, Gregory A.
Samad, Zainab
Satou, Gary M.
Schroeder, Emily B.
Shah, Svati H.
Shay, Christina M.
Stokes, Andrew
VanWagner, Lisa B.
Wang, Nae-Yuh
Tsao, Connie W.
Venue: Circulation
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2021-02-23
Volume: 143
Issue: 8
Pages: e254-e743
ISSN: 0009-7322 (ISSN-L)
1524-4539
DOI: 10.1161/cir.0000000000000950
PMC: PMC13036842
OpenAlex: W3122226502
Cited by: 5,784
References: 0
Citations by year: 2026: 503 · 2025: 658 · 2024: 915 · 2023: 1282 · 2022: 1694 · 2021: 646
FWCI: 764.95
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Circulation (publishedVersion)
PubMed (publishedVersion)
PubMed Central (publishedVersion, cc-by-nc-nd)
eCommons - AKU (Aga Khan University) (submittedVersion)
Funders: National Heart, Lung, and Blood Institute (R03HL145195, R01HL155717)
National Institute of Neurological Disorders and Stroke (L30 NS093634, R01NS017950)
Topics: Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Health Sciences › Medicine › Epidemiology › Healthcare Systems and Public Health
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
Keywords: heart disease, stroke, cardiovascular disease statistics, cardiovascular risk factors, cardiovascular health behaviors, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary artery disease, heart failure, valvular heart disease, venous disease, peripheral arterial disease, quality of care, health care costs, social determinants of health, adverse pregnancy outcomes, cardiovascular disease prevention
MeSH terms: Global Burden of Disease, Diet, Healthy, American Heart Association, Blood Pressure, Cholesterol, Diabetes Mellitus, Heart Diseases, Hospitalization, Humans, Obesity, Risk Factors, Smoking, United States, Health Behavior, Exercise, Prevalence, Stroke

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Metadata

Record

About these checks