K

Keaven M. Anderson

Merck & Co., Inc., Rahway, NJ, USA (United States)

ORCID: 0000-0003-3218-1363

Publishes on Statistical Methods in Clinical Trials, Optimal Experimental Design Methods, Cancer Immunotherapy and Biomarkers. 184 papers and 19.6k citations.

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Cardiovascular disease risk profiles
Keaven M. Anderson, Patricia M. Odell, Peter W.F. Wilson et al.|American Heart Journal|1991
Cited by 2.2kOpen Access

This article presents prediction equations for several cardiovascular disease endpoints, which are based on measurements of several known risk factors. Subjects (n = 5573) were original and offspring subjects in the Framingham Heart Study, aged 30 to 74 years, and initially free of cardiovascular disease. Equations to predict risk for the following were developed: myocardial infarction, coronary heart disease (CHD), death from CHD, stroke, cardiovascular disease, and death from cardiovascular disease. The equations demonstrated the potential importance of controlling multiple risk factors (blood pressure, total cholesterol, high-density lipoprotein cholesterol, smoking, glucose intolerance, and left ventricular hypertrophy) as opposed to focusing on one single risk factor. The parametric model used was seen to have several advantages over existing standard regression models. Unlike logistic regression, it can provide predictions for different lengths of time, and probabilities can be expressed in a more straightforward way than the Cox proportional hazards model.

An updated coronary risk profile. A statement for health professionals.
Cited by 1.9k

HomeCirculationVol. 83, No. 1An updated coronary risk profile. A statement for health professionals. Free AccessAbstractPDF/EPUBAboutView PDFSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessAbstractPDF/EPUBAn updated coronary risk profile. A statement for health professionals. K M Anderson, P W Wilson, P M Odell and W B Kannel K M AndersonK M Anderson Office of Scientific Affairs, American Heart Association, Dallas, TX 75231. , P W WilsonP W Wilson Office of Scientific Affairs, American Heart Association, Dallas, TX 75231. , P M OdellP M Odell Office of Scientific Affairs, American Heart Association, Dallas, TX 75231. and W B KannelW B Kannel Office of Scientific Affairs, American Heart Association, Dallas, TX 75231. Originally published1 Jan 1991https://doi.org/10.1161/01.CIR.83.1.356Circulation. 1991;83:356–362 Previous Back to top Next FiguresReferencesRelatedDetailsCited By Hespe C, Giskes K, Harris M and Peiris D (2022) Findings and lessons learnt implementing a cardiovascular disease quality improvement program in Australian primary care: a mixed method evaluation, BMC Health Services Research, 10.1186/s12913-021-07310-6, 22:1, Online publication date: 1-Dec-2022. Lemke E, Vetter V, Berger N, Banszerus V, König M and Demuth I (2022) Cardiovascular health is associated with the epigenetic clock in the Berlin Aging Study II (BASE-II), Mechanisms of Ageing and Development, 10.1016/j.mad.2021.111616, 201, (111616), Online publication date: 1-Jan-2022. Wong N, Budoff M, Ferdinand K, Graham I, Michos E, Reddy T, Shapiro M and Toth P (2022) Atherosclerotic cardiovascular disease risk assessment: An American Society for Preventive Cardiology clinical practice statement, American Journal of Preventive Cardiology, 10.1016/j.ajpc.2022.100335, 10, (100335), Online publication date: 1-Jun-2022. Coller J, Gong F, McGrady M, Shiel L, Liew D, Stewart S, Owen A, Krum H, Reid C, Prior D and Campbell D (2021) Risk factors for asymptomatic echocardiographic abnormalities that predict symptomatic heart failure, ESC Heart Failure, 10.1002/ehf2.13695, 9:1, (196-212), Online publication date: 1-Feb-2022. Mittal M, McEniery C, Supramaniam P, Cardozo L, Savvas M, Panay N and Hamoda H (2022) Impact of micronised progesterone and medroxyprogesterone acetate in combination with transdermal oestradiol on cardiovascular markers in women diagnosed with premature ovarian insufficiency or an early menopause: a randomised pilot trial, Maturitas, 10.1016/j.maturitas.2022.01.012, 161, (18-26), Online publication date: 1-Jul-2022. Adikari D, Gharleghi R, Zhang S, Jorm L, Sowmya A, Moses D, Ooi S and Beier S (2022) A new and automated risk prediction of coronary artery disease using clinical endpoints and medical imaging-derived patient-specific insights: protocol for the retrospective GeoCAD cohort study, BMJ Open, 10.1136/bmjopen-2021-054881, 12:6, (e054881), Online publication date: 1-Jun-2022. 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Buettner R and Schunter M (2019) Efficient machine learning based detection of heart disease 2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom), 10.1109/HealthCom46333.2019.9009429, 978-1-7281-0402-7, (1-6) Albarqouni L, Doust J, Magliano D, Barr E, Shaw J and Glasziou P (2019) External validation and comparison of four cardiovascular risk prediction models with data from the Australian Diabetes, Obesity and Lifestyle study, Medical Journal of Australia, 10.5694/mja2.12061, 210:4, (161-167), Online publication date: 1-Mar-2019. Liu Y, Li Q, Chen S, Wang X, Zhou Y, Tan N and Chen J (2018) A Simple Modified Framingham Scoring System to Predict Obstructive Coronary Artery Disease, Journal of Cardiovascular Translational Research, 10.1007/s12265-018-9837-6, 11:6, (495-502), Online publication date: 1-Dec-2018. 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Cholesterol and mortality. 30 years of follow-up from the Framingham study
Cited by 974

From 1951 to 1955 serum cholesterol levels were measured in 1959 men and 2415 women aged between 31 and 65 years who were free of cardiovascular disease (CVD) and cancer. Under age 50 years, cholesterol levels are directly related with 30-year overall and CVD mortality; overall death increases 5% and CVD death 9% for each 10 mg/dL. After age 50 years there is no increased overall mortality with either high or low serum cholesterol levels. There is a direct association between falling cholesterol levels over the first 14 years and mortality over the following 18 years (11% overall and 14% CVD death rate increase per 1 mg/dL per year drop in cholesterol levels). Under age 50 years these data suggest that having a very low cholesterol level improves longevity. After age 50 years the association of mortality with cholesterol values is confounded by people whose cholesterol levels are falling--perhaps due to diseases predisposing to death.

Relation of pooled logistic regression to time dependent cox regression analysis: The framingham heart study
Ralph B. D’Agostino, Mei‐Ling Ting Lee, Albert J. Belanger et al.|Statistics in Medicine|1990
Cited by 791

A standard analysis of the Framingham Heart Study data is a generalized person-years approach in which risk factors or covariates are measured every two years with a follow-up between these measurement times to observe the occurrence of events such as cardiovascular disease. Observations over multiple intervals are pooled into a single sample and a logistic regression is employed to relate the risk factors to the occurrence of the event. We show that this pooled logistic regression is close to the time dependent covariate Cox regression analysis. Numerical examples covering a variety of sample sizes and proportions of events display the closeness of this relationship in situations typical of the Framingham Study. A proof of the relationship and the necessary conditions are given in the Appendix.