A Plasma Long-Chain Acylcarnitine Predicts Cardiovascular Mortality in Incident Dialysis Patients

被引:109
|
作者
Kalim, Sahir [1 ]
Clish, Clary B. [4 ]
Wenger, Julia [1 ]
Elmariah, Sammy [2 ]
Yeh, Robert W. [2 ]
Deferio, Joseph J. [1 ]
Pierce, Kerry [4 ]
Deik, Amy [4 ]
Gerszten, Robert E. [2 ,3 ,4 ]
Thadhani, Ravi [1 ]
Rhee, Eugene P. [1 ,4 ]
机构
[1] Massachusetts Gen Hosp, Boston, MA 02114 USA
[2] Massachusetts Gen Hosp, Div Cardiol, Boston, MA 02114 USA
[3] Massachusetts Gen Hosp, Cardiovasc Res Ctr, Boston, MA 02114 USA
[4] Broad Inst, Cambridge, MA USA
来源
关键词
cardiovascular disease; dialysis; metabolism; mortality; risk factors; MAINTENANCE HEMODIALYSIS-PATIENTS; MYOCARDIAL-INFARCTION; INSULIN-RESISTANCE; KIDNEY-DISEASE; RISK-FACTORS; L-CARNITINE; METABOLISM; SURVIVAL; DEATH; ASSOCIATION;
D O I
10.1161/JAHA.113.000542
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background-The marked excess in cardiovascular mortality that results from uremia remains poorly understood. Methods and Results-In 2 independent, nested case-control studies, we applied liquid chromatography-mass spectrometry-based metabolite profiling to plasma obtained from participants of a large cohort of incident hemodialysis patients. First, 100 individuals who died of a cardiovascular cause within 1 year of initiating hemodialysis (cases) were randomly selected along with 100 individuals who survived for at least 1 year (controls), matched for age, sex, and race. Four highly intercorrelated long-chain acylcarnitines achieved the significance threshold adjusted for multiple testing (P<0.0003). Oleoylcarnitine, the long-chain acylcarnitine with the strongest association with cardiovascular mortality in unadjusted analysis, remained associated with 1-year cardiovascular death after multivariable adjustment (odds ratio per SD 2.3 [95% confidence interval, 1.4 to 3.8]; P=0.001). The association between oleoylcarnitine and 1-year cardiovascular death was then replicated in an independent sample (n=300, odds ratio per SD 1.4 [95% confidence interval, 1.1 to 1.9]; P=0.008). Addition of oleoylcarnitine to clinical variables improved cardiovascular risk prediction using net reclassification (NRI, 0.38 [95% confidence interval, 0.20 to 0.56]; P<0.0001). In physiologic profiling studies, we demonstrate that the fold change in plasma acylcarnitine levels from the aorta to renal vein and from pre- to post hemodialysis samples exclude renal or dialytic clearance of long-chain acylcarnitines as confounders in our analysis. Conclusions-Our data highlight clinically meaningful alterations in acylcarnitine homeostasis at the time of dialysis initiation, which may represent an early marker, effector, or both of uremic cardiovascular risk.
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页数:11
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