The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Laboratory-based versus non-laboratory-based method for assessment of cardiovascular disease risk: the NHANES I Follow-up Study cohort
Open accessAbstract
Background Around 80% of all cardiovascular deaths occur in developing countries. Assessment of those patients at high risk is an important strategy for prevention. Since developing countries have limited resources for prevention strategies that require laboratory testing, we assessed if a risk prediction method that did not require any laboratory tests could be as accurate as one requiring laboratory information.Methods The National Health and Nutrition Examination Survey (NHANES) was a prospective cohort study of 14 407 US participants aged between 25-74 years at the time they were first examined (between 1971 and 1975). Our follow-up study population included participants with complete information on these surveys who did not report a history of cardiovascular disease (myocardial infarction, heart failure, stroke, angina) or cancer, yielding an analysis dataset N=6186. We compared how well either method could predict first-time fatal and non-fatal cardiovascular disease events in this cohort. For the laboratory-based model, which required blood testing, we used standard risk factors to assess risk of cardiovascular disease: age, systolic blood pressure, smoking status, total cholesterol, reported diabetes status, and current treatment for hypertension. For the non-laboratory-based model, we substituted body-mass index for cholesterol.Findings In the cohort of 6186, there were 1529 first-time cardiovascular events and 578 (38%) deaths due to cardiovascular disease over 21 years. In women, the laboratory-based model was useful for predicting events, with a c statistic of 0.829. The c statistic of the non-laboratory-based model was 0.831. In men, the results were similar (0.784 for the laboratory-based model and 0.783 for the non-laboratory-based model). Results were similar between the laboratory-based and non-laboratory-based models in both men and women when restricted to fatal events only.Interpretation A method that uses non-laboratory-based risk factors predicted cardiovascular events as accurately as one that relied on laboratory-based values. This approach could simplify risk assessment in situations where laboratory testing is inconvenient or unavailable.
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“Current evidence shows that CVD screening can be shifted effectively from formally trained health professionals to community health workers (CHWs) using a validated, low‐cost, nonlaboratory‐based screening tool.8, 9”
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Nishimura, R., Osako, T., Nishiyama, Y., Tashima, R., Nakano, M., Fujisue, M., Toyozumi, Y., & Arima, N. (2013) · Oncology · doi:10.1159/000353099 · Cited by 13,239
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
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Global burden of hypertension: analysis of worldwide data
Kearney, P. M., Whelton, M., Reynolds, K., Muntner, P., Whelton, P. K., & He, J. (2005) · The Lancet · doi:10.1016/s0140-6736(05)17741-1 · Cited by 8,698
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project
Conroy, R. (2003) · European Heart Journal · doi:10.1016/s0195-668x(03)00114-3 · Cited by 5,290
Mortality by cause for eight regions of the world: Global Burden of Disease Study
Murray, C. J., & Lopez, A. D. (1997) · The Lancet · doi:10.1016/s0140-6736(96)07493-4 · Cited by 4,043
Disease control priorities in developing countries
(2006) · Choice Reviews Online · doi:10.5860/choice.44-0343 · Cited by 3,636
Evaluating the Yield of Medical Tests
Harrell, F. E. (1982) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1982.03320430047030 · Cited by 3,490
Global Burden of Disease and Risk Factors
López, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T. T., & Murray, C. J. L. (2006) · World Bank, Washington, DC eBooks · doi:10.1596/978-0-8213-6262-4 · Cited by 2,714
Cardiovascular disease risk profiles
Anderson, K. M., Odell, P. M., Wilson, P. W. F., & Kannel, W. B. (1991) · American Heart Journal · doi:10.1016/0002-8703(91)90861-b · Cited by 2,163
Research works printed but not linked: 1
- Conroy, 2003, Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project, Eur Heart J, 24, 987, 10.1016/S0195-668X(03)00114-3 · DOI · Paper page
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Beaglehole, R., Bonita, R., Horton, R., Adams, C., Alleyne, G., Asaria, P., Baugh, V., Bekedam, H., Billo, N., Casswell, S., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60393-0 · Cited by 1,615
Self-citation2010 ACCF/AHA Guideline for Assessment of Cardiovascular Risk in Asymptomatic Adults
Greenland, P., Alpert, J. S., Beller, G. A., Benjamin, E. J., Budoff, M. J., Fayad, Z. A., Foster, E., Hlatky, M. A., Hodgson, J. M., Kushner, F. G., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.09.001 · Cited by 1,348
Growing Epidemic of Coronary Heart Disease in Low- and Middle-Income Countries
Gaziano, T. A., Bitton, A., Anand, S., Abrahams‐Gessel, S., & Murphy, A. (2009) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2009.10.002 · Cited by 1,200
Self-citationPredicting the 30-Year Risk of Cardiovascular Disease
Pencina, M. J., D’Agostino, R. B., Larson, M. G., Massaro, J. M., & Vasan, R. S. (2009) · Circulation · doi:10.1161/circulationaha.108.816694 · Cited by 885
Metadata
- Authors
- Gaziano, T. A., Young, C. R., Fitzmaurice, G., Atwood, S., & Gaziano, J. M.
- Affiliations
- Brigham and Women's Hospital (US)
- Harvard University (US)
- McLean Hospital (US)
- Corresponding author
- Gaziano, Thomas A
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2008-03
- Volume
- 371
- Issue
- 9616
- Pages
- 923-931
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC2864150
- OpenAlex
- W2114678398
- Cited by
- 366
- References
- 34
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 18 · 2023: 6 · 2022: 14 · 2021: 23 · 2020: 27 · 2019: 17 · 2018: 17 · 2017: 21 · 2016: 13 · 2015: 33 · 2014: 19 · 2013: 23 · 2012: 19
- FWCI
- 30.34
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Lancet (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Fogarty International Center (K01TW007141)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- cardiovascular risk prediction, body mass index, total cholesterol, laboratory testing, risk assessment, cardiovascular mortality, cardiovascular events, developing countries, resource-limited settings
- MeSH terms
- Adult, Aged, Cardiovascular Diseases, Female, Follow-Up Studies, Humans, Hypertension, Male, Middle Aged, Models, Biological, Nutrition Surveys, Predictive Value of Tests, ROC Curve, Smoking, United States, Risk Assessment, Diabetes Complications
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