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Novel Size-Based High-Density Lipoprotein Subspecies and Incident Vascular Events.
Deets, Austin; Joshi, Parag H; Chandra, Alvin; Singh, Kavisha; Khera, Amit; Virani, Salim S; Ballantyne, Christie M; Otvos, James D; Dullaart, Robin P F; Gruppen, Eke G; Connelly, Margery A; Ayers, Colby; Navar, Ann Marie; Pandey, Ambarish; Wilkins, John T; Rohatgi, Anand.
Afiliação
  • Deets A; University of Texas Southwestern Medical Center Dallas TX.
  • Joshi PH; University of Texas Southwestern Medical Center Dallas TX.
  • Chandra A; University of Texas Southwestern Medical Center Dallas TX.
  • Singh K; Providence Spokane Heart Institute Spokane WA.
  • Khera A; University of Texas Southwestern Medical Center Dallas TX.
  • Virani SS; Michael E. Debakey Veteran Affairs Medical Center Houston TX.
  • Ballantyne CM; Baylor College of Medicine Houston TX.
  • Otvos JD; Baylor College of Medicine Houston TX.
  • Dullaart RPF; Labcorp Morrisville NC.
  • Gruppen EG; University of Groningen and University Medical Center Groningen Groningen The Netherlands.
  • Connelly MA; University of Groningen and University Medical Center Groningen Groningen The Netherlands.
  • Ayers C; Labcorp Morrisville NC.
  • Navar AM; University of Texas Southwestern Medical Center Dallas TX.
  • Pandey A; University of Texas Southwestern Medical Center Dallas TX.
  • Wilkins JT; University of Texas Southwestern Medical Center Dallas TX.
  • Rohatgi A; Feinberg School of Medicine Northwestern University Chicago IL.
J Am Heart Assoc ; 12(21): e031160, 2023 11 07.
Article em En | MEDLINE | ID: mdl-37929707
Background High-density lipoprotein (HDL) particle concentration likely outperforms HDL cholesterol in predicting atherosclerotic cardiovascular events. Whether size-based HDL subspecies explain the atheroprotective associations of HDL particle concentration remains unknown. Our objective was to assess whether levels of specific size-based HDL subspecies associate with atherosclerotic cardiovascular disease in a multiethnic pooled cohort and improve risk prediction beyond traditional atherosclerotic cardiovascular disease risk factors. Methods and Results Seven HDL size-based subspecies were quantified by nuclear magnetic resonance (LP4 algorithm; H1=smallest; H7=largest) among participants without prior atherosclerotic cardiovascular disease in ARIC (Atherosclerosis Risk in Communities), MESA (Multi-Ethnic Study of Atherosclerosis), PREVEND (Prevention of Renal and Vascular Endstage Disease), and DHS (Dallas Heart Study) cohorts (n=15 371 people). Multivariable Cox proportional hazards models were used to evaluate the association between HDL subspecies and incident myocardial infarction (MI) or ischemic stroke at follow-up (average 8-10 years) adjusting for HDL cholesterol and risk factors. Improvement in risk prediction was assessed via discrimination and reclassification analysis. Within the pooled cohort (median age 57 years; female 54%; Black 22%) higher H1 (small) and H4 (medium) concentrations were inversely associated with incident MI (hazard ratio [HR]/SD, H1 0.88 [95% CI, 0.81-0.94]; H4 0.89 [95% CI, 0.82-0.97]). H4 but not H1 improved risk prediction indices for incident MI. Increasing H2 and H4 were inversely associated with improved risk prediction indices for composite end point of stroke, MI, and cardiovascular death (HR/SD, H2 0.94 [95% CI, 0.88-0.99]; H4 0.91 [95% CI, 0.85-0.98]). Levels of the large subspecies (H6 and H7) were not associated with any vascular end point. Conclusions Two of 7 HDL size-based subspecies modestly improved risk prediction for MI and composite vascular end points in a large multiethnic pooled cohort. These findings support assessment of precise HDL subspecies for future studies regarding clinical utility.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aterosclerose / Infarto do Miocárdio Limite: Female / Humans / Middle aged Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aterosclerose / Infarto do Miocárdio Limite: Female / Humans / Middle aged Idioma: En Ano de publicação: 2023 Tipo de documento: Article