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Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record-Based Population Cohort Study
被引:15
|作者:
Manemann, Sheila M. M.
[1
]
Bielinski, Suzette J. J.
[1
,6
]
Moser, Ethan D. D.
[1
]
St Sauver, Jennifer L. L.
[1
]
Takahashi, Paul Y. Y.
[2
]
Roger, Veronique L.
[1
,3
,4
]
Olson, Janet E. E.
[1
]
Chamberlain, Alanna M. M.
[1
,3
]
Remaley, Alan T. T.
[5
]
Decker, Paul A. A.
[1
]
Killian, Jill M. M.
[1
]
Larson, Nicholas B. B.
[1
]
机构:
[1] Mayo Clin, Dept Quantitat Hlth Sci, Rochester, MN 55905 USA
[2] Mayo Clin, Dept Med, Div Community Internal Med, Rochester, MN 55905 USA
[3] Mayo Clin, Dept Cardiovasc Med, Rochester, MN 55905 USA
[4] NHLBI, Epidemiol & Community Hlth Branch, NIH, Bethesda, MD USA
[5] NHLBI, Lipoprot Metab Lab, Translat Vasc Med Branch, NIH, Bethesda, MD USA
[6] Mayo Clin, 200 First St SW, Rochester, MN 55905 USA
来源:
关键词:
cholesterol;
epidemiology;
LDL;
triglycerides;
BLOOD-PRESSURE VARIABILITY;
TO-VISIT VARIABILITY;
DENSITY-LIPOPROTEIN CHOLESTEROL;
DATA RESOURCE PROFILE;
ALL-CAUSE MORTALITY;
BODY-MASS INDEX;
MYOCARDIAL-INFARCTION;
ENDOTHELIAL DYSFUNCTION;
PROGNOSTIC VALUE;
OUTCOMES;
D O I:
10.1161/JAHA.122.027639
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
BackgroundLarger within-patient variability of lipid levels has been associated with increased risk of cardiovascular disease (CVD); however, measures of lipid variability require >= 3 measurements and are not currently used clinically. We investigated the feasibility of calculating lipid variability within a large electronic health record-based population cohort and assessed associations with incident CVD. Methods and ResultsWe identified all individuals >= 40 years of age who resided in Olmsted County, MN, on January 1, 2006 (index date), without prior CVD, defined as myocardial infarction, coronary artery bypass graft surgery, percutaneous coronary intervention, or CVD death. Patients with >= 3 measurements of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, or triglycerides during the 5 years before the index date were retained. Lipid variability was calculated using variability independent of the mean. Patients were followed through December 31, 2020 for incident CVD. We identified 19 652 individuals (mean age 61 years; 55% female), who were CVD-free and had variability independent of the mean calculated for at least 1 lipid type. After adjustment, those with highest total cholesterol variability had a 20% increased risk of CVD (Q5 versus Q1 hazard ratio, 1.20 [95% CI, 1.06-1.37]). Results were similar for low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. ConclusionsIn a large electronic health record-based population cohort, high variability in total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol was associated with an increased risk of CVD, independent of traditional risk factors, suggesting it may be a possible risk marker and target for intervention. Lipid variability can be calculated in the electronic health record environment, but more research is needed to determine its clinical utility.
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页数:47
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