The DOI matches its Crossref record; 26 of the 27 references it cites were found in a registry or an index.
Association Between High-Density Lipoprotein Cholesterol Levels and Adverse Cardiovascular Outcomes in High-risk Populations
Open accessAbstract
Importance: Previous studies have shown lower cardiovascular risk with higher high-density lipoprotein cholesterol (HDL-C) levels. However, recent data in the general population have shown increased risk of adverse outcomes at very high HDL-C concentrations. Objective: To study the association between very high HDL-C levels (>80 mg/dL) and mortality in patients with coronary artery disease (CAD) and to investigate the association of known HDL-C genotypes with high HDL-C level outcomes. Design, Setting, and Participants: This prospective, multicenter, cohort study, conducted from 2006 to present in the UK and from 2003 to present in Atlanta, Georgia, recruited patients with CAD from the UK Biobank (UKB) and the Emory Cardiovascular Biobank (EmCAB), respectively. Patients without confirmed CAD were excluded from the study. Data analyses were conducted from May 10, 2020, to April 28, 2021. Exposure: High HDL-C levels (>80 mg/dL). Main Outcomes and Measures: The primary outcome was all-cause death. The secondary outcome was cardiovascular death. Results: A total of 14 478 participants (mean [SD] age, 62.1 [5.8] years; 11 034 men [76.2%]) from the UKB and 5467 participants (mean [SD] age, 63.8 [12.3] years; 3632 men [66.4%]) from the EmCAB were included in the study. Over a median follow-up of 8.9 (IQR, 8.0-9.7) years in the UKB and 6.7 (IQR, 4.0-10.8) years in the EmCAB, a U-shaped association with outcomes was observed with higher risk in those with both low and very high HDL-C levels compared with those with midrange values. Very high HDL-C levels (>80 mg/dL) were associated with increased risk of all-cause death (hazard ratio [HR], 1.96; 95% CI, 1.42-2.71; P < .001) and cardiovascular death (HR, 1.71; 95% CI, 1.09-2.68; P = .02) compared with those with HDL-C levels in the range of 40 to 60 mg/dL in the UKB after adjustment for confounding factors. These results were replicated in the EmCAB. These associations persisted after adjustment for the HDL-C genetic risk score within the UKB. Sensitivity analyses demonstrated that the risk of all-cause mortality in the very high HDL-C group was higher among men than women in the UKB (HR, 2.63; 95% CI, 1.75-3.95; P < .001 vs HR, 1.39; 95% CI, 0.82-2.35; P = .23). Conclusions and Relevance: Results of this cohort study suggest that very high HDL-C levels are paradoxically associated with higher mortality risk in individuals with CAD. This association was independent of the common polymorphisms associated with high HDL-C levels.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“HDL-C is well known to play an anti-atherosclerotic role by protecting against the development of CVD; indeed, increased serum concentrations of HDL-C are strongly inversely related to the risk of atherosclerotic CVD [6,7].”
Citations
Cites
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,772
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603
A Proportional Hazards Model for the Subdistribution of a Competing Risk
Fine, J. P., & Gray, R. J. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474144 · Cited by 14,290
Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001779 · Cited by 12,728
The UK Biobank resource with deep phenotyping and genomic data
Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., Motyer, A., Vukcevic, D., Delaneau, O., O’Connell, J., et al. (2018) · Nature · doi:10.1038/s41586-018-0579-z · Cited by 8,876
High density lipoprotein as a protective factor against coronary heart disease
Gordon, T., Castelli, W. P., Hjortland, M. C., Kannel, W. B., & Dawber, T. R. (1977) · The American Journal of Medicine · doi:10.1016/0002-9343(77)90874-9 · Cited by 5,059
International Statistical Classification of Diseases and Related Health Problems
(2010) · Springer eBooks · doi:10.1007/978-0-387-79948-3_3055 · Cited by 4,182
Effects of torcetrapib in patients at high risk for coronary events
Barter, P. J., Caulfield, M., Eriksson, M., Grundy, S. M., Kastelein, J. J. P., Komajda, M., Lopez-Sendon, J., Mosca, L., Tardif, J.-C., Waters, D. D., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa0706628 · Cited by 3,139
Niacin in Patients with Low HDL Cholesterol Levels Receiving Intensive Statin Therapy
The AIM-HIGH Investigators (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1107579 · Cited by 2,911
Effects of dalcetrapib in patients with a recent acute coronary syndrome
Schwartz, G. G., Olsson, A. G., Abt, M., Ballantyne, C. M., Barter, P. J., Brumm, J., Chaitman, B. R., Holme, I. M., Kallend, D., Leiter, L. A., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1206797 · Cited by 2,022
Research works printed but not linked: 1
- Voight, 2012, Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study., Lancet, 380, 572, 10.1016/S0140-6736(12)60312-2 · DOI · Paper page
Cited by
Sorted by citations
Items 201–255 of 255
Dyslipoproteinemias in postmenopausal women and new therapeutic targets
Galván, E. E. R. (2024) · Obstetrics & Gynecology International Journal · doi:10.15406/ogij.2024.15.00755
Berkowitz, L., Flaherty, S., Kitayama, S., Karasawa, M., Kawakami, N., Rigotti, A., & Coe, C. L. (2024) · Antioxidants · doi:10.3390/antiox13121434 · Cited by 1
“Studies of European and American adults have indicated that elevated HDL-C levels may be associated with an increased hazard risk for all-cause mortality, suggestive of dysfunctional HDL-C, although the specific link to ASCVD is usually more evident when HDL-C is low [23,24].”
The Prognostic Significance of the DBIL/HDLC Ratio in Patients With Dilated Cardiomyopathy
Wang, X.-Y., Song, Q., Zhang, Q.-Q., Li, X., Wang, J., Gong, J.-T., Zhang, Z.-Y., Tan, N., Tsang, S.-Y., Wong, W.-T., et al. (2025) · Cardiovascular Therapeutics · doi:10.1155/cdr/8835736
“Thus, this process can contribute to damage in other organs and lead to adverse outcomes [27].”
Lee, S., Hong, K., Park, B., & Jung, D. (2025) · Journal of Lipid Research · doi:10.1016/j.jlr.2025.100777
Miao, S., Wang, X., Guo, J., & You, C. (2025) · BMC Neurology · doi:10.1186/s12883-025-04099-3
Advancing Secondary Prevention Post-Myocardial Infarction With CSL112
Pamir, N., & Ulusoy, R. E. (2025) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2025.01.015
Variations in CVD Risk Factors and Age in African Americans: The Jackson Heart Study
Addison, C. C., Jenkins, B. C., White, M. S., & Payton, M. (2025) · The American Journal of Public Health · doi:10.52338/tajoph.2025.4747
Xie, R., Li, X., Zhao, W., Liang, Y.-F., Jiang, H., & Huang, J. (2025) · Journal of clinical lipidology · doi:10.1016/j.jacl.2025.06.005
COVID-19 and dysregulated cholesterol levels in Type I and Type II diabetes: focus on the difference
Stepanova, G., & Ghosal, S. (2025) · Biologia Futura · doi:10.1007/s42977-025-00285-z
Li, H., Shi, Y., Zhang, H., Han, J., Zhang, X., & Liu, Z. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1652396
D’Anna, L., Foschi, M., Valente, M., Sacco, S., Regno, C. D., Negri, I. D., Toraldo, F., Marè, A., Sponza, M., Gavrilovic, V., et al. (2025) · International Journal of Stroke · doi:10.1177/17474930251374791
Wang, Y., Wang, Q., Tong, L., Zheng, H., Wang, Y., & Li, S. (2025) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2025.106002
Bae, J., Lee, M., Lee, Y., Lee, S., & Lee, B. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26178566
“Recent studies suggest that the protective effect of HDL-C on cardiovascular risk may exhibit a U-shaped association rather than a linear correlation [20,21].”
Evaluation on the Feasibility of the Pulse Oximetry–triggered Coronary CT Angiography
Zhang, Y., Zhang, W. W., Wang, L., Li, J., Yuan, D., Qi, K., Zhang, M., Zhang, Y., Gao, J., & Liu, J. (2025) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.240495
Wang, Z., Wei, J., Zhao, W., Shi, R., Zhu, Y., Li, X., & Wang, D. (2024) · Figshare · doi:10.6084/m9.figshare.25449064
Wang, Z., Wei, J., Zhao, W., Shi, R., Zhu, Y., Li, X., & Wang, D. (2024) · Figshare · doi:10.6084/m9.figshare.25449172
Wang, Z., Wei, J., Zhao, W., Shi, R., Zhu, Y., Li, X., & Wang, D. (2024) · Figshare · doi:10.6084/m9.figshare.26695863
Lin, T.-C., Huang, C.-Y., Li, Y.-L., Chiou, H.-Y., Hu, C.-J., Jeng, J.-S., Tang, S.-C., Chan, L., Lien, L.-M., Lin, H.-J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26944170
Wang, Z., Wei, J., Zhao, W., Shi, R., Zhu, Y., Li, X., & Wang, D. (2024) · Figshare · doi:10.6084/m9.figshare.26695857
Kristensen, F. P. B., Christensen, D. H., Mortensen, M. B., Mæng, M., Kahlert, J. A., Sørensen, H. T., & Thomsen, R. W. (2024) · Figshare · doi:10.6084/m9.figshare.26606815
Additional file 1 of ANGPTL3 is a novel HDL component that regulates HDL function
Yang, L., Wang, Y., Xu, Y., Li, K., Yin, R., Zhang, L., Wang, D., Wei, L., Lang, J., Cheng, Y., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26691460
Wang, Z., Wei, J., Zhao, W., Shi, R., Zhu, Y., Li, X., & Wang, D. (2024) · Figshare · doi:10.6084/m9.figshare.26695860
Sun, Y., Cao, D., Zhang, Y., 吴艳花, Jia, Z., Cui, Y., Li, D., Cao, X., & Jiang, J. (2024) · Figshare · doi:10.6084/m9.figshare.25309942
Self-citation(2025) · Archives of Endocrinology and Disorders · doi:10.46889/aed.2025.1206
Katkuri, S. N., Khan, Z., Thakkar, R., Dhyani, A., & Srinivasan, H. (2026) · Cancer Epidemiology · doi:10.1016/j.canep.2026.103000
Clustering-cum-regression based model and performance analysis for early prediction of heart disease
Tolani, M., AlZahrani, Y., Suman, G., Kumar, P., Balodi, A., & Bajpai, A. (2026) · Scientific Reports · doi:10.1038/s41598-026-40626-z · Cited by 2
Qin, Y., Meng, J., Chen, Y., Zhang, W., Yi, J., & Wang, S. (2026) · International Immunopharmacology · doi:10.1016/j.intimp.2026.116404
Qiu, M., Huo, S., Wang, W., Li, N., Zeng, Q., Sun, X., Dai, J., Tong, P., Han, Y., Zhao, L., et al. (2026) · Animal Models and Experimental Medicine · doi:10.1002/ame2.70129
“23 Furthermore, compared to humans, tree shrews exhibit a higher basal HDL-C to LDL-C ratio, 24 which may render them more susceptible to hyperglycemic stimulation.”
Life’s Essential 8, genetic susceptibility, and risk of degenerative valvular heart disease
Wu, D., Gong, Y., Bing, S., Wang, J., Xiang, H., Chen, Z., Yu, B., Ping, Y., Li, J., Zhang, Y., et al. (2026) · Cardiac Research · doi:10.1097/re9.0000000000000012
Lagou, S., Barkas, F., Giannakopoulou, S., Koutsogianni, A.-D., Adamidis, P. S., Anastasiou, G., Kyrili, K., Chrysohoou, C. A., Tsioufis, C., Pitsavos, C., et al. (2025) · Journal of Atherosclerosis Prevention and Treatment · doi:10.4103/aptj.aptj_4_25
Wang, F., Shang, X., Yang, Q., Tao, Z., Li, W., Wang, M., & Li, F. (2026) · PLoS ONE · doi:10.1371/journal.pone.0343768
Liu, Y., Song, G., Zhang, Y., Shan, W., Qi, Y., Wang, X., Wei, C., Liu, J., & Sun, L. (2026) · Immunity Inflammation and Disease · doi:10.1002/iid3.70431
“C levels are negatively associated with the risk of coronary heart disease and could potentially reduce the morbidity of CVD [26, 27].”
Li, H.-H., Chan, T., Ko, H., Lee, C.-S., Hsu, P., Kuo, S. C.-H., Hu, H., & Chiu, L. (2026) · Research Square · doi:10.21203/rs.3.rs-9329846/v1
Stump, K., Han, W., Morar, H., Lee, K., Aynaszyan, S., Patel, D. D., & Pazionis, T. J. C. (2026) · Global Spine Journal · doi:10.1177/21925682261443916
Elgharably, H., Awad, A. K., Lehr, C. J., Budev, M. M., McCurry, K. R., Smith, J. D., & Ayyat, K. S. (2026) · Respiratory Medicine · doi:10.1016/j.rmed.2026.108944
Han, N., Chen, W., Zhou, S., Chen, R., Hou, G., Xiao, Q., Yang, Z., Liu, S., Zhang, Y., & Lv, H. (2026) · PLoS ONE · doi:10.1371/journal.pone.0351788
Longer-term efficacy and safety of zodasiran in patients with mixed hyperlipidaemia
Rosenson, R. S., Gaudet, D., Ballantyne, C. M., Nicholls, S. J., Lucas, K. J., Leeper, N. J., Zhou, R., Aiyer, L., Hellawell, J. L., & Watts, G. F. (2026) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwag376 · Cited by 1
Life's Essential 8: Essential for Brain and Cognitive Health
Gold, M. E., Chandrasekhar, S., Kulshreshtha, A., Britt, M. W., Guynn, N., Gold, D., Jain, V., Razavi, A. C., Vatsa, N., YADALAM, A. K., et al. (2026) · Journal of the American Heart Association · doi:10.1161/jaha.124.039048
“84 This suggests a complex relationship between cholesterol and dementia risk that depends on various factors and possibly differs among different age groups.”
Self-citationWang, Z., Li, F., & Chi, D. (2026) · International Journal of Neuroscience · doi:10.1080/00207454.2026.2706608
Sayılı, U., Albayrak, B., Sak, K., Kaya, A., Uğurel, O. M., Çapar, M. U., Fenercioğlu, A. K., & Can, G. (2026) · Open Medicine · doi:10.1515/med-2026-1504
“Speci fi cally, a U-shaped relationship has been demonstrated between LDL-C levels and mortality risk [5], a pattern also observed for HDL-C levels in both males and females [19, 20].”
Lu, L., Kamar, S. A., Palm, C. L., Scholte, N. T. B., Suthahar, N., Connelly, M. A., Hillege, H. L., Akkerhuis, K. M., Umans, V. A. W. M., de Boer, R. A., et al. (2026) · Circulation Heart Failure · doi:10.1161/circheartfailure.125.013971
Association of HDL2b with chronic kidney disease in type 2 diabetes mellitus populations
Tang, H., Ye, Z., 洪国保, Li, X., 梁燕萍, Zou, H., & Deng, D. X.-F. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1868445
“However, observational studies have shown that elevated HDL-C levels are not consistently associated with decreased risk of cardiovascular events (13, 14).”
Liu, C., Roberts, B. R., Patel, M., Roberts, A. M., Alkhoder, A. A., Ko, Y.-A., Jin, Z., YADALAM, A. K., Alonso, Á., Huang, J., et al. (2026) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2026.101800
Self-citationSun, W., Li, M., 李军川, Feng, J., & Shu, F. (2026) · Cancer Investigation · doi:10.1080/07357907.2026.2721530
Bazrafshan, M., Shamsa, K., Namazee, M., Kamali, M., Drissi, H. B., & Hooshanginezhad, Z. (2026) · NMCD. Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2026.104968
Fester, T., Abrahams, C., & Lecour, S. (2026) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-026-07949-5
Li, H.-H., Chan, T., Ko, H., Lee, C.-S., Hsu, P., Kuo, S. C.-H., Hu, H., & Chiu, L. (2026) · Medicina · doi:10.3390/medicina62102002
Bhat, A., Kumar, A. A., Zitzmann, M., Saad, F., König, C. S., Haider, K. S., Haider, A., Hackett, G. I., Desnerck, P., Marriott, J. F., et al. (2026) · Andrology · doi:10.1111/andr.70393
Wang, C., Liu, S., Ni, S., Yang, K., Bi, L., Chen, W., 杭丽玮, Yang, Y., 阴赪茜, & Zhang, M. (2026) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2026.114913
Luo, C., & Wei, J. (2026) · International Journal of Biology and Life Sciences · doi:10.54097/kbd16e33
Eldaidamouni, A. A., hasan, M., Medina‐Inojosa, J. R., Razavi, A. C., Subramaniyam, V., Alkhoder, A. A., Bennett, J., Ko, Y., Liu, C., YADALAM, A. K., et al. (2026) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2026.102089
Self-citationHafiane, A., Kiss, R. S., Favari, E., Amedei, A., & Parolini, C. (2026) · BioFactors · doi:10.1002/biof.70162
“These data were validated by Liu et al. later using the UK and Emory Cardiovascular biobank [77].”
Zhao, L. Y., Wu, D., Zhang, Z., Li, T., Gao, T., Wu, S., Wang, B., Liu, M., Yang, P., Tan, J., et al. (2026) · Open Heart · doi:10.1136/openhrt-2026-004434
Predictors of Major Incident Fracture During Adulthood: Evidence from the Geelong Osteoporosis Study
Suleiman, A., Lotfaliany, M., Williams, L. J., Anderson, K. B., Stuart, A. L., Holloway‐Kew, K. L., & Pasco, J. A. (2026) · Calcified Tissue International · doi:10.1007/s00223-026-01638-z
Metadata
- Authors
- Liu, C., Dhindsa, D., Almuwaqqat, Z., Ko, Y.-A., Mehta, A., Alkhoder, A. A., Alras, Z., Desai, S. R., Patel, K. J., Hooda, A., Wehbe, M., Sperling, L. S., Sun, Y. V., & Quyyumi, A. A.
- Affiliations
- Emory University (US)
- ORCID
- Venue
- JAMA Cardiology
- Publisher
- American Medical Association (AMA)
- Published
- 2022-07-01
- Volume
- 7
- Issue
- 7
- Pages
- 672
- ISSN
- 2380-6583 (ISSN-L)
- PMC
- PMC9118072
- OpenAlex
- W4280530834
- Semantic Scholar
- 6d4ebe822cf6955b795923be8dc61ee482ea2dae
- Cited by
- 250
- References
- 27
- Citations by year
- 2026: 48 · 2025: 75 · 2024: 80 · 2023: 35 · 2022: 12
- FWCI
- 49.42
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA Cardiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council (MC_PC_17228)
- National Institute on Aging (U54AG062334)
- National Heart, Lung, and Blood Institute (P01HL101398, P20HL113451, P01HL086773, R61HL138657, R01HL141205, T32HL130025)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK111024)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Paraoxonase enzyme and polymorphisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Cholesterol and Lipid Metabolism
- Keywords
- cholesterol, coronary artery disease, all-cause mortality, cardiovascular mortality, U-shaped relationship, genetic variants, cardiovascular risk, vulnerable populations, cardiovascular outcomes, UK Biobank
- MeSH terms
- Aged, Cholesterol, Coronary Artery Disease, Female, Humans, Cholesterol, HDL, Male, Middle Aged, Prospective Studies, Risk Factors, Cohort Studies
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