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首页> 外文期刊>International heart journal >N-Terminal Pro-B-Type Natriuretic Peptide Levels Inversely Correlated With Heart Rate Variability in Patients With Unstable Angina Pectoris
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N-Terminal Pro-B-Type Natriuretic Peptide Levels Inversely Correlated With Heart Rate Variability in Patients With Unstable Angina Pectoris

机译:不稳定型心绞痛患者的N末端Pro-B型利尿钠肽水平与心率变异性呈负相关

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We explored the relationships between heart rate variability (HRV) and levels of N-terminal Pro-B-type natriuretic peptide (NT-proBNP) in patients with unstable angina pectoris (UA). A total of 90 consecutive patients admitted 100 ms ( P = 0.003). With increasing levels of NT-proBNP, both the 24hour monitoring HRV and night-monitoring HRV showed that SDNN and VLF gradually decreased ( P < 0.01), and patients in the NT-proBNP lowest tertile group had higher LF values than the other two groups ( P < 0.05); however, no difference was found in RMSSD, HF, and TP. During the daytime, the LF, VLF, and TP values were lower in the NTproBNP highest group compared with the lowest tertile group ( P < 0.05). NT-proBNP levels correlated negatively with SDNN ( r = -0.314, P = 0.003) and VLF ( r = -0.397, P < 0.001) but not with other HRV parameters. Multiple regression analysis showed that serum levels of NT-proBNP remained predictive of SDNN ( β = -0.060, P = 0.001) and VLF ( β = -0.145, P < 0.001), even after adjustment for confounders. Our study showed that the elevated serum levels of NT-proBNP predict reduced HRV parameters, and the increased NT-proBNP levels combined with decreased HRV represent the degree of neurohormonal dysfunction and may be better prognostic predictors for risk stratification in UA patients.
机译:我们探讨了不稳定型心绞痛(UA)患者心率变异性(HRV)与N端Pro-B型利钠肽(NT-proBNP)水平之间的关系。共有90名连续患者入院100毫秒(P = 0.003)。随着NT-proBNP水平的升高,24小时监测HRV和夜间监测HRV均显示SDNN和VLF逐渐降低(P <0.01),并且NT-proBNP最低三分位数组的患者LF值高于其他两组(P <0.05);但是,RMSSD,HF和TP没有发现差异。在白天,NTproBNP最高组的LF,VLF和TP值低于最低三分位数的组(P <0.05)。 NT-proBNP水平与SDNN(r = -0.314,P = 0.003)和VLF(r = -0.397,P <0.001)呈负相关,但与其他HRV参数无关。多元回归分析表明,即使校正混杂因素,血清NT-proBNP水平仍可预测SDNN(β= -0.060,P = 0.001)和VLF(β= -0.145,P <0.001)。我们的研究表明,升高的NT-proBNP血清水平可预测HRV参数降低,而升高的NT-proBNP水平与降低的HRV则代表神经激素功能障碍的程度,并且可能是UA患者风险分层的较好预后指标。

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