Identifying an optimal cutpoint for the diagnosis of hypertriglyceridemia in the nonfasting state
Open accessAbstract
BACKGROUND: Nonfasting triglycerides are similar or superior to fasting triglycerides at predicting cardiovascular events. However, diagnostic cutpoints are based on fasting triglycerides. We examined the optimal cutpoint for increased nonfasting triglycerides. METHODS: We obtained baseline nonfasting (<8 h since last meal) samples from 6391 participants in the Women's Health Study who were followed prospectively for ≤17 years. The optimal diagnostic threshold for nonfasting triglycerides, determined by logistic regression models by use of c-statistics and the Youden index (sum of sensitivity and specificity minus 1), was used to calculate hazard ratios (HRs) for incident cardiovascular events. Performance was compared to thresholds recommended by the American Heart Association (AHA) and European guidelines. RESULTS: The optimal threshold was 175 mg/dL (1.98 mmol/L), with a c-statistic of 0.656, statistically better than the AHA cutpoint of 200 mg/dL (c-statistic 0.628). For nonfasting triglycerides above and below 175 mg/dL, after adjusting for age, hypertension, smoking, hormone use, and menopausal status, the HR for cardiovascular events was 1.88 (95% CI 1.52–2.33, P < 0.001), and for triglycerides measured at 0–4 and 4–8 h since the last meal, 2.05 (1.54– 2.74) and 1.68 (1.21–2.32), respectively. We validated performance of this optimal cutpoint by use of 10-fold cross-validation and bootstrapping of multivariable models that included standard risk factors plus total and HDL cholesterol, diabetes, body mass index, and C-reactive protein. CONCLUSIONS: In this study of middle-aged and older apparently healthy women, we identified a diagnostic threshold for nonfasting hypertriglyceridemia of 175 mg/dL (1.98 mmol/L), with the potential to more accurately identify cases than the currently recommended AHA cutpoint.
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For nonfasting samples, the threshold for abnormal TG concentrations is ≥2 mmol/L according to the Women's Health Study, which found that this threshold was optimal for ASCVD prediction.
“For nonfasting samples, laboratories should flag abnormal TG concentrations as ≥2 mmol/L according to the Women's Health Study, which found that this threshold was optimal for ASCVD prediction [91].”
From Quantifying atherogenic lipoproteins for lipid-lowering strategies: Consensus-based recommendations from EAS and EFLM (2020) · cites this paper as [91]
The Results and Discussion identify 175 mg/dL (1.98 mmol/L, approximately 2 mmol/L) as the optimal nonfasting triglyceride cutpoint for predicting incident CVD in the Women’s Health Study. The paper proposes a diagnostic cutpoint, but does not specifically direct laboratories to flag results at that level; its measured outcome is a composite of CVD events rather than an outcome expressly defined as ASCVD. (LLM, conf=0.82)
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Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970 · see citing works
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162 · see citing works
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 · see citing works
Cross validatory choice and assessment of statistical predictions
Stone, M. (1974) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1974.tb00994.x · Cited by 10,881 · see citing works
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 · see citing works
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) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.002 · Cited by 3,845 · see citing works
ESC/EAS Guidelines for the management of dyslipidaemias
Reiner, Ž., Catapano, A. L., De Backer, G., Graham, I., Taskinen, M.-R., Wiklund, O., Agewall, S., Alegria, E., Chapman, M. J., Durrington, P., et al. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr158 · Cited by 3,549 · see citing works
The Statistical Evaluation of Medical Tests for Classification and Prediction
PEPE, M. S. (2003) · doi:10.1093/oso/9780198509844.001.0001 · Cited by 2,221 · see citing works
Nordestgaard, B. G., Benn, M., Schnohr, P., & Tybjærg-Hansen, A. (2007) · JAMA · doi:10.1001/jama.298.3.299 · Cited by 2,058 · see citing works
The Statistical Evaluation of Medical Tests for Classification and Prediction
PEPE, M. S. (2005) · Technometrics · doi:10.1198/tech.2005.s278 · Cited by 1,917 · see citing works
Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association
Miller, M., Stone, N. J., Ballantyne, C., Bittner, V., Criqui, M. H., Ginsberg, H. N., Goldberg, A. C., Howard, W. J., Jacobson, M. S., Kris-Etherton, P. M., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182160726 · Cited by 1,871 · see citing works
Fasting compared with nonfasting triglycerides and risk of cardiovascular events in women
Bansal, S., Buring, J. E., Rifai, N., Mora, S., Sacks, F. M., & Ridker, P. M. (2007) · JAMA · doi:10.1001/jama.298.3.309 · Cited by 1,619 · see citing works
Self-citationTriglycerides and cardiovascular disease
Nordestgaard, B. G., & Varbo, A. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61177-6 · Cited by 1,419 · see citing works
Remnant Cholesterol as a Causal Risk Factor for Ischemic Heart Disease
Varbo, A., Benn, M., Tybjærg-Hansen, A., Jørgensen, A. B., Frikke-Schmidt, R., & Nordestgaard, B. G. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.08.1026 · Cited by 1,115 · see citing works
Common variants associated with plasma triglycerides and risk for coronary artery disease
Do, R., Willer, C. J., Schmidt, E. M., Sengupta, S., Gao, C., Peloso, G. M., Gustafsson, S., Kanoni, S., Ganna, A., Chen, J., et al. (2013) · Nature Genetics · doi:10.1038/ng.2795 · Cited by 862 · see citing works
Self-citationCook, N. R., Lee, I.-M., Gaziano, J. M., Gordon, D., Ridker, P. M., Manson, J. E., Hennekens, C. H., & Buring, J. E. (2005) · JAMA · doi:10.1001/jama.294.1.47 · Cited by 796 · see citing works
Self-citationAnderson, T. J., Grégoire, J. C., Hegele, R. A., Couture, P., Mancini, G. B. J., McPherson, R., Francis, G. A., Poirier, P., Lau, D. C. W., Grover, S. A., et al. (2013) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2012.11.032 · Cited by 762 · see citing works
Ridker, P. M., Rifai, N., Cook, N. R., Bradwin, G., & Buring, J. E. (2005) · JAMA · doi:10.1001/jama.294.3.326 · Cited by 744 · see citing works
Self-citationHegele, R. A., Ginsberg, H. N., Chapman, M. J., Nordestgaard, B. G., Kuivenhoven, J. A., Averna, M., Borén, J., Bruckert, E., Catapano, A. L., Descamps, O. S., et al. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70191-8 · Cited by 635 · see citing works
Jørgensen, A. B., Frikke-Schmidt, R., West, A. S., Grande, P., Nordestgaard, B. G., & Tybjærg-Hansen, A. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs431 · Cited by 501 · see citing works
Mora, S., Rifai, N., Buring, J. E., & Ridker, P. M. (2008) · Circulation · doi:10.1161/circulationaha.108.777334 · Cited by 445 · see citing works
Self-citationNordestgaard, B. G., Wootton, R., & Lewis, B. (1995) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.15.4.534 · Cited by 334 · see citing works
D. Kolovou, G., P. Mikhailidis, D., Kovar, J., Lairon, D., G. Nordestgaard, B., Chye Ooi, T., Perez-Martinez, P., Bilianou, H., Anagnostopoulou, K., & Panotopoulos, G. (2011) · Current Vascular Pharmacology · doi:10.2174/157016111795495549 · Cited by 306 · see citing works
Wang, L., Gill, R., Pedersen, T. L., Higgins, L. J., Newman, J. W., & Rutledge, J. C. (2009) · Journal of Lipid Research · doi:10.1194/jlr.m700505-jlr200 · Cited by 303 · see citing works
Genetics and causality of triglyceride-rich lipoproteins in atherosclerotic cardiovascular disease
Rosenson, R. S., Davidson, M. H., Hirsh, B. J., Kathiresan, S., & Gaudet, D. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.09.042 · Cited by 260 · see citing works
Langsted, A., Freiberg, J., Tybjærg‐Hansen, A., Schnohr, P., Jensen, G. B., & Nordestgaard, B. G. (2010) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2010.02333.x · Cited by 230 · see citing works
Eberly, L. E. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.9.1077 · Cited by 226 · see citing works
Triglycerides and Heart Disease
Goldberg, I. J., Eckel, R. H., & McPherson, R. (2011) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.111.226100 · Cited by 219 · see citing works
Leukocyte Activation by Triglyceride-Rich Lipoproteins
Alipour, A., van Oostrom, A. J. H. H. M., Izraeljan, A., Verseijden, C., Collins, J., Frayn, K. N., Plokker, T. W. M., Elte, J. W. F., & Cabezas, M. C. (2008) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.107.159749 · Cited by 202 · see citing works
Low nonfasting triglycerides and reduced all-cause mortality: a mendelian randomization study
Thomsen, M., Varbo, A., Tybjærg-Hansen, A., & Nordestgaard, B. G. (2014) · Clinical Chemistry · doi:10.1373/clinchem.2013.219881 · Cited by 171 · see citing works
Green, M. S., & Symons, M. (1983) · Journal of Chronic Diseases · doi:10.1016/0021-9681(83)90165-0 · Cited by 169 · see citing works
Stensvold, I., Tverdal, A., Urdal, P., & Graff‐Iversen, S. (1993) · BMJ · doi:10.1136/bmj.307.6915.1318 · Cited by 142 · see citing works
Steiner, G., Schwartz, L., Shumak, S. L., & Poapst, M. E. (1987) · Circulation · doi:10.1161/01.cir.75.1.124 · Cited by 140 · see citing works
Doran, B., Guo, Y., Xu, J., WEINTRAUB, H. S., Mora, S., Maron, D. J., & Bangalore, S. (2014) · Circulation · doi:10.1161/circulationaha.114.010001 · Cited by 135 · see citing works
Self-citationTriglycerides and Risk for Coronary Heart Disease
McBride, P. E. (2007) · JAMA · doi:10.1001/jama.298.3.336 · Cited by 134 · see citing works
Stalenhoef, A. F., & de Graaf, J. (2008) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e328304b63c · Cited by 121 · see citing works
GSteiner, LSchwartz, SShumak, & MPoapst (1987) · Circulation · Cited by 119 · see citing works
Nonfasting Hyperlipidemia and Cardiovascular Disease
Nordestgaard, B. G., Langsted, A., & Freiberg, J. (2009) · Current Drug Targets · doi:10.2174/138945009787846434 · Cited by 115 · see citing works
Saraswathi, V., & Hasty, A. H. (2006) · Journal of Lipid Research · doi:10.1194/jlr.m600159-jlr200 · Cited by 95 · see citing works
Apolipoprotein B Versus Non–High-Density Lipoprotein Cholesterol
Sniderman, A. D. (2005) · Circulation · doi:10.1161/circulationaha.105.583336 · Cited by 66 · see citing works
Modulation of inflammation and immunity by arginine supplements
Efron, D. T., & Barbul, A. (1998) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/00075197-199811000-00010 · Cited by 66 · see citing works
Influence of a regular, standardized meal on clinical chemistry analytes
Lima-Oliveira, G., Salvagno, G. L., Lippi, G., Gelati, M., Montagnana, M., Danese, E., Picheth, G., & Guidi, G. C. (2012) · Annals of Laboratory Medicine · doi:10.3343/alm.2012.32.4.250 · Cited by 63 · see citing works
Lipoprotein (a) and coronary heart disease among women: beyond a cholesterol carrier?
Shai, I., Rimm, E. B., Hankinson, S. E., et al. (2005) · European Heart Journal · doi:10.1093/eurheartj/ehi222 · Cited by 50 · see citing works
Gupta, M., Singh, N., Tsigoulis, M., Kajil, M., Hirjikaka, S., Quan, A., Teoh, H., & Verma, S. (2012) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2011.09.014 · Cited by 40 · see citing works
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Nordestgaard, B. G., Langsted, A., Mora, S., Kolovou, G., Baum, H., Bruckert, E., Watts, G. F., Sypniewska, G., Wiklund, O., Borén, J., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw152 · Cited by 847 · see citing works
Self-citationLanglois, M. R., Chapman, M. J., Cobbaert, C., Mora, S., Remaley, A. T., Ros, E., Watts, G. F., Borén, J., Baum, H., Bruckert, E., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2018.287037 · Cited by 260 · see citing works
Self-citationNordestgaard, B. G., Langlois, M. R., Langsted, A., Chapman, M. J., Aakre, K. M., Baum, H., Borén, J., Bruckert, E., Catapano, A., Cobbaert, C., et al. (2020) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.12.005 · Cited by 240 · see citing works
Self-citationKolovou, G. D., Watts, G. F., Mikhailidis, D. P., Pérez-Martínez, P., Mora, S., Bilianou, H., Panotopoulos, G., Katsiki, N., Ooi, T. C., Lopez-Miranda, J., et al. (2019) · Current Vascular Pharmacology · doi:10.2174/1570161117666190507110519 · Cited by 61 · see citing works
Self-citationBallantyne, C. M., Bays, H. E., Philip, S., Doyle, R. T., Braeckman, R. A., Stirtan, W. G., Soni, P. N., & Juliano, R. A. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.08.005 · Cited by 52 · see citing works
Update on the laboratory investigation of dyslipidemias
Ramasamy, I. (2018) · Clinica Chimica Acta · doi:10.1016/j.cca.2018.01.015 · Cited by 50 · see citing works
Cartier, L.-J., Collins, C., Lagacé, M., & Douville, P. (2018) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2017.11.007 · Cited by 44 · see citing works
Bashir, B., Schofield, J., Downie, P., France, M., Ashcroft, D. M., Wright, A. K., Romeo, S., Gouni-Berthold, I., Maan, A., Durrington, P. N., et al. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1389106 · Cited by 40 · see citing works
Langlois, M. R., & Nordestgaard, B. G. (2018) · Current Cardiology Reports · doi:10.1007/s11886-018-1036-1 · Cited by 19 · see citing works
- Authors
- White, K. T., Moorthy, M. V., Akinkuolie, A. O., Demler, O., Ridker, P. M., Cook, N. R., & Mora, S.
- Affiliations
- Division of Preventive Medicine
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Corresponding author
- Mora, Samia
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-09-01
- Volume
- 61
- Issue
- 9
- Pages
- 1156-1163
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- PMC
- PMC4554926
- OpenAlex
- W2109221833
- Cited by
- 74
- References
- 45
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 5 · 2021: 18 · 2020: 9 · 2019: 7 · 2018: 8 · 2017: 4 · 2016: 8 · 2015: 1
- FWCI
- 7.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Clinical Chemistry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Women's Health Study (HL117861, HL43851, HL 080467, CA 47988)
- National Heart, Lung, and Blood Institute (T32 HL007575)
- National Cancer Institute
- Novartis
- AstraZeneca
- Aegerion
- ISIS
- Boehringer Ingelheim
- Pfizer
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Keywords
- hypertriglyceridemia, cardiovascular risk, Women's Health Study, middle-aged and older women, cardiovascular events
- MeSH terms
- Cardiovascular Diseases, Fasting, Female, Humans, Middle Aged, ROC Curve, Triglycerides, Hypertriglyceridemia, Postprandial Period
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