Cited by 117Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and LipoproteinsLipid metabolism and disorders

High Triglycerides Are Associated With Increased Cardiovascular Events, Medical Costs, and Resource Use: A Real‐World Administrative Claims Analysis of Statin‐Treated Patients With High Residual Cardiovascular Risk

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Toth, Peter P., Granowitz, Craig, Hull, Michael, Liassou, Djibril, Anderson, Amy, Philip, Sephy·2018·Journal of the American Heart Association

Abstract

Background: The American Heart Association recognizes high triglycerides as a cardiovascular risk factor. Methods and Results: This retrospective observational administrative claims analysis (Optum Research Database) included statin‐treated patients ≥45 years old with diabetes mellitus and/or atherosclerotic cardiovascular disease, triglycerides 2.26 to 5.64 mmol/L, and a propensity‐matched comparator cohort with triglycerides <1.69 mmol/L and high‐density lipoprotein cholesterol >1.04 mmol/L. In the high‐triglycerides cohort versus comparators (both n=10 990, 49% women), mean age was 61.7 versus 62.2 years and follow‐up was 41.3 versus 42.1 months, respectively. Multivariate analysis of composite major cardiovascular events demonstrated significantly increased risk in the high‐triglycerides (n=13 411 patients) versus comparator (n=32 506 patients) cohorts (hazard ratio [ HR ], 1.35; 95% confidence interval [ CI ], 1.225–1.485; P <0.001), with significantly higher risk for nonfatal myocardial infarction ( HR , 1.35; 95% CI , 1.19–1.52; P <0.001), nonfatal stroke ( HR , 1.27; 95% CI , 1.14–1.42; P <0.001), and need for coronary revascularization ( HR , 1.51; 95% CI , 1.34–1.69; P <0.001), but not unstable angina or cardiovascular death. Increased cardiovascular risk in the high‐triglycerides versus comparator cohort was maintained, even with addition of non–high‐density lipoprotein cholesterol to the multivariate model and when analyzing high and low high‐density lipoprotein cholesterol subgroups. Average total healthcare cost per patient per month (cost ratio, 1.15; 95% CI , 1.084–1.210; P <0.001) and rate of occurrence of inpatient hospital stay ( HR , 1.17; 95% CI , 1.113–1.223; P <0.001) were also significantly greater in the high‐triglycerides cohort. Conclusions: In this real‐world analysis, patients with high cardiovascular risk and high triglycerides had worse composite cardiovascular and health economic outcomes than patients with well‐managed triglycerides and high‐density lipoprotein cholesterol >1.04 mmol/L.

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  • Despite having a well-controlled low-density lipoprotein cholesterol on statin therapy, patients with elevated triglycerides have significant residual risk for coronary events.

    “Despite having a well-controlled low-density lipoprotein cholesterol on statin therapy, patients with elevated triglycerides have significant residual risk for coronary events.”

    From Benefits of Icosapent Ethyl Across the Range of Kidney Function in Patients With Established Cardiovascular Disease or Diabetes: REDUCE-IT RENAL (2021) · cites this paper as [8]

    The Methods (Study Populations; page unavailable) describe statin-treated patients with elevated triglycerides, and the Abstract (Methods and Results; page unavailable) reports significantly higher risks of nonfatal myocardial infarction and coronary revascularization than in comparators. However, well-controlled LDL-C was not an inclusion criterion for that outcome analysis. The Discussion describes a separate group with LDL-C ≤100 mg/dL and elevated triglycerides, but does not report its coronary-event risk. (LLM, conf=0.86)

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References 38 · Cited by 117

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  1. [1]Benjamin EJ, Virani SS, Callaway CW, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, de Ferranti SD, Ferguson JF, Fornage M, Gillespie C, Isasi CR, Jimenez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Lutsey PL, Matchar DB, Matsushita K, Mussolino ME, Nasir K, O'Flaherty M, Palaniappan LP, Pandey DK, Reeves MJ, Ritchey MD, Rodriguez CJ, Roth GA, Rosamond WD, Sampson UKA, Satou GM, Shah SH, Spartano NL, Tirschwell DL, Tsao CW, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P. Heart disease and stroke statistics—2018 update: a report from the American Heart Association. Circulation. 2018; 137: e67– e492. 29386200
  2. [3]Fruchart JC, Davignon J, Hermans MP, Al‐Rubeaan K, Amarenco P, Assmann G, Barter P, Betteridge J, Bruckert E, Cuevas A, Farnier M, Ferrannini E, Fioretto P, Genest J, Ginsberg HN, Gotto AM Jr, Hu D, Kadowaki T, Kodama T, Krempf M, Matsuzawa Y, Nunez‐Cortes JM, Monfil CC, Ogawa H, Plutzky J, Rader DJ, Sadikot S, Santos RD, Shlyakhto E, Sritara P, Sy R, Tall A, Tan CE, Tokgozoglu L, Toth PP, Valensi P, Wanner C, Zambon A, Zhu J, Zimmet P. Residual macrovascular risk in 2013: what have we learned? Cardiovasc Diabetol. 2014; 13: 26. 24460800 PMC3922777
  3. [4]Kasai T, Miyauchi K, Yanagisawa N, Kajimoto K, Kubota N, Ogita M, Tsuboi S, Amano A, Daida H. Mortality risk of triglyceride levels in patients with coronary artery disease. Heart. 2013; 99: 22– 29. 23014481
  4. [5]Sarwar N, Danesh J, Eiriksdottir G, Sigurdsson G, Wareham N, Bingham S, Boekholdt SM, Khaw KT, Gudnason V. Triglycerides and the risk of coronary heart disease: 10,158 incident cases among 262,525 participants in 29 Western prospective studies. Circulation. 2007; 115: 450– 458. 17190864
  5. [9]Natarajan P, Kohli P, Baber U, Nguyen KDH, Sartori S, Reilly DF, Mehran R, Muntendam P, Fuster V, Rader DJ, Kathiresan S. Association of APOC3 loss‐of‐function mutations with plasma lipids and subclinical atherosclerosis. J Am Coll Cardiol. 2015; 66: 2053– 2055. 26516010 PMC4706229
  6. [15]Schunkert H, König IR, Kathiresan S, Reilly MP, Assimes TL, Holm H, Preuss M, Stewart AF, Barbalic M, Gieger C, Absher D, Aherrahrou Z, Allayee H, Altshuler D, Anand SS, Andersen K, Anderson JL, Ardissino D, Ball SG, Balmforth AJ, Barnes TA, Becker DM, Becker LC, Berger K, Bis JC, Boekholdt SM, Boerwinkle E, Braund PS, Brown MJ, Burnett MS, Buysschaert I; Cardiogenics, Carlquist JF, Chen L, Cichon S, Codd V, Davies RW, Dedoussis G, Dehghan A, Demissie S, Devaney JM, Diemert P, Do R, Doering A, Eifert S, Mokhtari NE, Ellis SG, Elosua R, Engert JC, Epstein SE, de Faire U, Fischer M, Folsom AR, Freyer J, Gigante B, Girelli D, Gretarsdottir S, Gudnason V, Gulcher JR, Halperin E, Hammond N, Hazen SL, Hofman A, Horne BD, Illig T, Iribarren C, Jones GT, Jukema JW, Kaiser MA, Kaplan LM, Kastelein JJ, Khaw KT, Knowles JW, Kolovou G, Kong A, Laaksonen R, Lambrechts D, Leander K, Lettre G, Li M, Lieb W, Loley C, Lotery AJ, Mannucci PM, Maouche S, Martinelli N, McKeown PP, Meisinger C, Meitinger T, Melander O, Merlini PA, Mooser V, Morgan T, Mühleisen TW, Muhlestein JB, Münzel T, Musunuru K, Nahrstaedt J, Nelson CP, Nöthen MM, Olivieri O, Patel RS, Patterson CC, Peters A, Peyvandi F, Qu L, Quyyumi AA, Rader DJ, Rallidis LS, Rice C, Rosendaal FR, Rubin D, Salomaa V, Sampietro ML, Sandhu MS, Schadt E, Schäfer A, Schillert A, Schreiber S, Schrezenmeir J, Schwartz SM, Siscovick DS, Sivananthan M, Sivapalaratnam S, Smith A, Smith TB, Snoep JD, Soranzo N, Spertus JA, Stark K, Stirrups K, Stoll M, Tang WH, Tennstedt S, Thorgeirsson G, Thorleifsson G, Tomaszewski M, Uitterlinden AG, van Rij AM, Voight BF, Wareham NJ, Wells GA, Wichmann HE, Wild PS, Willenborg C, Witteman JC, Wright BJ, Ye S, Zeller T, Ziegler A, Cambien F, Goodall AH, Cupples LA, Quertermous T, März W, Hengstenberg C, Blankenberg S, Ouwehand WH, Hall AS, Deloukas P, Thompson JR, Stefansson K, Roberts R, Thorsteinsdottir U, O'Donnell CJ, McPherson R, Erdmann J; CARDIoGRAM Consortium, Samani NJ. Large‐scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Nat Genet. 2011; 43: 333– 338. 21378990 PMC3119261
  7. [16]Willer CJ, Schmidt EM, Sengupta S, Peloso GM, Gustafsson S, Kanoni S, Ganna A, Chen J, Buchkovich ML, Mora S, Beckmann JS, Bragg‐Gresham JL, Chang HY, Demirkan A, Den Hertog HM, Do R, Donnelly LA, Ehret GB, Esko T, Feitosa MF, Ferreira T, Fischer K, Fontanillas P, Fraser RM, Freitag DF, Gurdasani D, Heikkila K, Hypponen E, Isaacs A, Jackson AU, Johansson A, Johnson T, Kaakinen M, Kettunen J, Kleber ME, Li X, Luan J, Lyytikainen LP, Magnusson PK, Mangino M, Mihailov E, Montasser ME, Muller‐Nurasyid M, Nolte IM, O'Connell JR, Palmer CD, Perola M, Petersen AK, Sanna S, Saxena R, Service SK, Shah S, Shungin D, Sidore C, Song C, Strawbridge RJ, Surakka I, Tanaka T, Teslovich TM, Thorleifsson G, Van den Herik EG, Voight BF, Volcik KA, Waite LL, Wong A, Wu Y, Zhang W, Absher D, Asiki G, Barroso I, Been LF, Bolton JL, Bonnycastle LL, Brambilla P, Burnett MS, Cesana G, Dimitriou M, Doney AS, Doring A, Elliott P, Epstein SE, Eyjolfsson GI, Gigante B, Goodarzi MO, Grallert H, Gravito ML, Groves CJ, Hallmans G, Hartikainen AL, Hayward C, Hernandez D, Hicks AA, Holm H, Hung YJ, Illig T, Jones MR, Kaleebu P, Kastelein JJ, Khaw KT, Kim E, Klopp N, Komulainen P, Kumari M, Langenberg C, Lehtimaki T, Lin SY, Lindstrom J, Loos RJ, Mach F, McArdle WL, Meisinger C, Mitchell BD, Muller G, Nagaraja R, Narisu N, Nieminen TV, Nsubuga RN, Olafsson I, Ong KK, Palotie A, Papamarkou T, Pomilla C, Pouta A, Rader DJ, Reilly MP, Ridker PM, Rivadeneira F, Rudan I, Ruokonen A, Samani N, Scharnagl H, Seeley J, Silander K, Stancakova A, Stirrups K, Swift AJ, Tiret L, Uitterlinden AG, van Pelt LJ, Vedantam S, Wainwright N, Wijmenga C, Wild SH, Willemsen G, Wilsgaard T, Wilson JF, Young EH, Zhao JH, Adair LS, Arveiler D, Assimes TL, Bandinelli S, Bennett F, Bochud M, Boehm BO, Boomsma DI, Borecki IB, Bornstein SR, Bovet P, Burnier M, Campbell H, Chakravarti A, Chambers JC, Chen YD, Collins FS, Cooper RS, Danesh J, Dedoussis G, de Faire U, Feranil AB, Ferrieres J, Ferrucci L, Freimer NB, Gieger C, Groop LC, Gudnason V, Gyllensten U, Hamsten A, Harris TB, Hingorani A, Hirschhorn JN, Hofman A, Hovingh GK, Hsiung CA, Humphries SE, Hunt SC, Hveem K, Iribarren C, Jarvelin MR, Jula A, Kahonen M, Kaprio J, Kesaniemi A, Kivimaki M, Kooner JS, Koudstaal PJ, Krauss RM, Kuh D, Kuusisto J, Kyvik KO, Laakso M, Lakka TA, Lind L, Lindgren CM, Martin NG, Marz W, McCarthy MI, McKenzie CA, Meneton P, Metspalu A, Moilanen L, Morris AD, Munroe PB, Njolstad I, Pedersen NL, Power C, Pramstaller PP, Price JF, Psaty BM, Quertermous T, Rauramaa R, Saleheen D, Salomaa V, Sanghera DK, Saramies J, Schwarz PE, Sheu WH, Shuldiner AR, Siegbahn A, Spector TD, Stefansson K, Strachan DP, Tayo BO, Tremoli E, Tuomilehto J, Uusitupa M, van Duijn CM, Vollenweider P, Wallentin L, Wareham NJ, Whitfield JB, Wolffenbuttel BH, Ordovas JM, Boerwinkle E, Palmer CN, Thorsteinsdottir U, Chasman DI, Rotter JI, Franks PW, Ripatti S, Cupples LA, Sandhu MS, Rich SS, Boehnke M, Deloukas P. Discovery and refinement of loci associated with lipid levels. Nat Genet. 2013; 45: 1274– 1283. 24097068 PMC3838666
  8. [17]Do R, Willer CJ, Schmidt EM, Sengupta S, Gao C, Peloso GM, Gustafsson S, Kanoni S, Ganna A, Chen J, Buchkovich ML, Mora S, Beckmann JS, Bragg‐Gresham JL, Chang HY, Demirkan A, Den Hertog HM, Donnelly LA, Ehret GB, Esko T, Feitosa MF, Ferreira T, Fischer K, Fontanillas P, Fraser RM, Freitag DF, Gurdasani D, Heikkila K, Hypponen E, Isaacs A, Jackson AU, Johansson A, Johnson T, Kaakinen M, Kettunen J, Kleber ME, Li X, Luan J, Lyytikainen LP, Magnusson PK, Mangino M, Mihailov E, Montasser ME, Muller‐Nurasyid M, Nolte IM, O'Connell JR, Palmer CD, Perola M, Petersen AK, Sanna S, Saxena R, Service SK, Shah S, Shungin D, Sidore C, Song C, Strawbridge RJ, Surakka I, Tanaka T, Teslovich TM, Thorleifsson G, Van den Herik EG, Voight BF, Volcik KA, Waite LL, Wong A, Wu Y, Zhang W, Absher D, Asiki G, Barroso I, Been LF, Bolton JL, Bonnycastle LL, Brambilla P, Burnett MS, Cesana G, Dimitriou M, Doney AS, Doring A, Elliott P, Epstein SE, Eyjolfsson GI, Gigante B, Goodarzi MO, Grallert H, Gravito ML, Groves CJ, Hallmans G, Hartikainen AL, Hayward C, Hernandez D, Hicks AA, Holm H, Hung YJ, Illig T, Jones MR, Kaleebu P, Kastelein JJ, Khaw KT, Kim E, Klopp N, Komulainen P, Kumari M, Langenberg C, Lehtimaki T, Lin SY, Lindstrom J, Loos RJ, Mach F, McArdle WL, Meisinger C, Mitchell BD, Muller G, Nagaraja R, Narisu N, Nieminen TV, Nsubuga RN, Olafsson I, Ong KK, Palotie A, Papamarkou T, Pomilla C, Pouta A, Rader DJ, Reilly MP, Ridker PM, Rivadeneira F, Rudan I, Ruokonen A, Samani N, Scharnagl H, Seeley J, Silander K, Stancakova A, Stirrups K, Swift AJ, Tiret L, Uitterlinden AG, van Pelt LJ, Vedantam S, Wainwright N, Wijmenga C, Wild SH, Willemsen G, Wilsgaard T, Wilson JF, Young EH, Zhao JH, Adair LS, Arveiler D, Assimes TL, Bandinelli S, Bennett F, Bochud M, Boehm BO, Boomsma DI, Borecki IB, Bornstein SR, Bovet P, Burnier M, Campbell H, Chakravarti A, Chambers JC, Chen YD, Collins FS, Cooper RS, Danesh J, Dedoussis G, de Faire U, Feranil AB, Ferrieres J, Ferrucci L, Freimer NB, Gieger C, Groop LC, Gudnason V, Gyllensten U, Hamsten A, Harris TB, Hingorani A, Hirschhorn JN, Hofman A, Hovingh GK, Hsiung CA, Humphries SE, Hunt SC, Hveem K, Iribarren C, Jarvelin MR, Jula A, Kahonen M, Kaprio J, Kesaniemi A, Kivimaki M, Kooner JS, Koudstaal PJ, Krauss RM, Kuh D, Kuusisto J, Kyvik KO, Laakso M, Lakka TA, Lind L, Lindgren CM, Martin NG, Marz W, McCarthy MI, McKenzie CA, Meneton P, Metspalu A, Moilanen L, Morris AD, Munroe PB, Njolstad I, Pedersen NL, Power C, Pramstaller PP, Price JF, Psaty BM, Quertermous T, Rauramaa R, Saleheen D, Salomaa V, Sanghera DK, Saramies J, Schwarz PE, Sheu WH, Shuldiner AR, Siegbahn A, Spector TD, Stefansson K, Strachan DP, Tayo BO, Tremoli E, Tuomilehto J, Uusitupa M, van Duijn CM, Vollenweider P, Wallentin L, Wareham NJ, Whitfield JB, Wolffenbuttel BH, Altshuler D, Ordovas JM, Boerwinkle E, Palmer CN, Thorsteinsdottir U, Chasman DI, Rotter JI, Franks PW, Ripatti S, Cupples LA, Sandhu MS, Rich SS. Common variants associated with plasma triglycerides and risk for coronary artery disease. Nat Genet. 2013; 45: 1345– 1352. 24097064 PMC3904346
  9. [18]Jorgensen AB, Frikke‐Schmidt R, West AS, Grande P, Nordestgaard BG, Tybjaerg‐Hansen A. Genetically elevated non‐fasting triglycerides and calculated remnant cholesterol as causal risk factors for myocardial infarction. Eur Heart J. 2013; 34: 1826– 1833. 23248205
  10. [19]Varbo A, Benn M, Tybjaerg‐Hansen A, Nordestgaard BG. Elevated remnant cholesterol causes both low‐grade inflammation and ischemic heart disease, whereas elevated low‐density lipoprotein cholesterol causes ischemic heart disease without inflammation. Circulation. 2013; 128: 1298– 1309. 23926208
  11. [20]Varbo A, Benn M, Tybjaerg‐Hansen A, Jorgensen AB, Frikke‐Schmidt R, Nordestgaard BG. Remnant cholesterol as a causal risk factor for ischemic heart disease. J Am Coll Cardiol. 2013; 61: 427– 436. 23265341
  12. [22]Holmes MV, Asselbergs FW, Palmer TM, Drenos F, Lanktree MB, Nelson CP, Dale CE, Padmanabhan S, Finan C, Swerdlow DI, Tragante V, van Iperen EP, Sivapalaratnam S, Shah S, Elbers CC, Shah T, Engmann J, Giambartolomei C, White J, Zabaneh D, Sofat R, McLachlan S, Doevendans PA, Balmforth AJ, Hall AS, North KE, Almoguera B, Hoogeveen RC, Cushman M, Fornage M, Patel SR, Redline S, Siscovick DS, Tsai MY, Karczewski KJ, Hofker MH, Verschuren WM, Bots ML, van der Schouw YT, Melander O, Dominiczak AF, Morris R, Ben‐Shlomo Y, Price J, Kumari M, Baumert J, Peters A, Thorand B, Koenig W, Gaunt TR, Humphries SE, Clarke R, Watkins H, Farrall M, Wilson JG, Rich SS, de Bakker PI, Lange LA, Davey SG, Reiner AP, Talmud PJ, Kivimaki M, Lawlor DA, Dudbridge F, Samani NJ, Keating BJ, Hingorani AD, Casas JP. Mendelian randomization of blood lipids for coronary heart disease. Eur Heart J. 2015; 36: 539– 550. 24474739 PMC4344957
  13. [23]Miller M, Cannon CP, Murphy SA, Qin J, Ray KK, Braunwald E. Impact of triglyceride levels beyond low‐density lipoprotein cholesterol after acute coronary syndrome in the PROVE IT‐TIMI 22 trial. J Am Coll Cardiol. 2008; 51: 724– 730. 18279736
  14. [25]Stone NJ, Robinson J, Lichtenstein AH, Bairey Merz CN, Lloyd‐Jones DM, Blum CB, McBride P, Eckel RH, Schwartz JS, Goldberg AC, Shero ST, Gordon D, Smith SC Jr, Levy D, Watson K, Wilson PW. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014; 63: 2889– 2934. 24239923
  15. [26]Nichols GA, Arondekar B, Garrison LP Jr. Patient characteristics and medical care costs associated with hypertriglyceridemia. Am J Cardiol. 2011; 107: 225– 229. 21211599
  16. [31]AIM‐HIGH Investigators. The role of niacin in raising high‐density lipoprotein cholesterol to reduce cardiovascular events in patients with atherosclerotic cardiovascular disease and optimally treated low‐density lipoprotein cholesterol: baseline characteristics of study participants: the atherothrombosis intervention in metabolic syndrome with low HDL/high triglycerides: impact on global health outcomes (AIM‐HIGH) trial. Am Heart J. 2011; 161: 538– 543. 21392609 PMC3120223
  17. [35]Pemafibrate to reduce cardiovascular outcomes by reducing triglycerides in patients with diabetes (PROMINENT). NCT03071692. https://clinicaltrials.gov/ct2/show/NCT03071692. Accessed May 2, 2018. 30342298
  18. [36]Jarow JP, LaVange L, Woodcock J. Multidimensional evidence generation and FDA regulatory decision making: defining and using “real‐world” data. JAMA. 2017; 318: 703– 704. 28715550
  19. [37]Sherman RE, Anderson SA, Dal Pan GJ, Gray GW, Gross T, Hunter NL, LaVange L, Marinac‐Dabic D, Marks PW, Robb MA, Shuren J, Temple R, Woodcock J, Yue LQ, Califf RM. Real‐world evidence: what is it and what can it tell us? N Engl J Med. 2016; 375: 2293– 2297. 27959688
  20. [38]Berger ML, Sox H, Willke RJ, Brixner DL, Eichler HG, Goettsch W, Madigan D, Makady A, Schneeweiss S, Tarricone R, Wang SV, Watkins J, Mullins CD. Good practices for real‐world data studies of treatment and/or comparative effectiveness: recommendations from the Joint ISPOR‐ISPE Special Task Force on Real‐World Evidence in Health Care Decision Making. Value Health. 2017; 20: 1003– 1008. 28964430

Authors
Toth, P. P., Granowitz, C., Hull, M., Liassou, D., Anderson, A., & Philip, S.
Affiliations
  • Johns Hopkins University (US)
  • Amarin (United States) (US)
  • Optum (United States) (US)
  • Amarin Pharma Inc Bedminster NJ
Corresponding author
Toth, Peter P.
Venue
Journal of the American Heart Association
Published
2018-08-07
Volume
7
Issue
15
Pages
e008740-e008740
ISSN
2047-9980 (ISSN-L)
OpenAlex
W2885602607
Cited by
117
References
38
Citations by year
2026: 12 · 2025: 8 · 2024: 15 · 2023: 13 · 2022: 13 · 2021: 16 · 2020: 16 · 2019: 19 · 2018: 5
FWCI
14.55
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Journal of the American Heart Association (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
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
triglyceride elevation, residual cardiovascular risk, statin therapy, cardiovascular events, myocardial infarction, stroke, coronary revascularization, health care costs, hospitalization, resource utilization (health care), diabetes mellitus, atherosclerotic cardiovascular disease, non-HDL cholesterol, HDL cholesterol, hypertriglyceridemia, cardiovascular risk stratification
MeSH terms
Administrative Claims, Healthcare, Aged, Angina, Unstable, Cardiovascular Diseases, Diabetes Mellitus, Female, Health Resources, Health Services, Humans, Cholesterol, HDL, Male, Middle Aged, Myocardial Infarction, Myocardial Revascularization, Hypertriglyceridemia, Proportional Hazards Models, Health Care Costs, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Stroke, Atherosclerosis

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