首页> 外文期刊>Journal of critical care >Heart rate variability as early marker of multiple organ dysfunction syndrome in septic patients.
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Heart rate variability as early marker of multiple organ dysfunction syndrome in septic patients.

机译:心率变异性是脓毒症患者多器官功能障碍综合征的早期标志。

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Purpose: To determine whether measuring heart rate variability (HRV) in a group of septic patients without multiple organ dysfunction syndrome (MODS) made it possible to predict which of them would later develop this syndrome. Material and Methods: We studied 46 septic patients without MODS at the time of admission to an intensive care unit (ICU). During the first 24 hours of admission, a 10-minute electrocardiogram (ECG) was performed and 8 HRV indexes were calculated off-line. Eleven patients later developed MODS (MODS group) during their ICU stay, and 28 did not (non-MODS group). Seven patients were excluded. Results: Although Acute Physiological and Chronic Health Evaluation (APACHE II) scores were similar for both groups, most HRV indices on admission were reduced significantly in the MODS group. Compared with a subset from the non-MODS group (control group, n = 11) paired by age, the MODS group had significantly lower low-frequency spectral components (LF, P =.0128) and mean squared successive differences of R-R intervals (rMSSD) (P =.0473) values. Multivariable logistic regression identified LF as the best predictor of MODS and received operating characteristic (ROC) curves established its cut-off point at 18 ms(2). Mortality rates were 63.6% for the MODS group and 0% for the non-MODS group (P <.0001). Conclusions: Reduction of HRV on ICU admission may be useful in identifying septic patients at risk for development of MODS.
机译:目的:为了确定是否在一组没有多器官功能障碍综合征(MODS)的败血症患者中测量心率变异性(HRV)是否可以预测其中的哪些患者以后会发展为该综合征。材料和方法:我们研究了46名在重症监护病房(ICU)入院时无MODS的败血症患者。在入院的最初24小时内,进行了10分钟的心电图(ECG),并离线计算了8个HRV指数。 11例患者后来在ICU住院期间发生了MODS(MODS组​​),而28例则没有(MODS组​​)。排除了七名患者。结果:尽管两组的急性生理和慢性健康评估(APACHE II)评分均相似,但MODS组​​中大多数入院时的HRV指数均显着降低。与按年龄配对的非MODS组​​(对照组,n = 11)的一个子集相比,MODS组​​的低频频谱分量(LF,P = .0128)低得多,RR间隔的均方差连续均方根( rMSSD)(P = .0473)值。多变量logistic回归确定LF是MODS的最佳预测指标,并且收到的运行特征(ROC)曲线确定了其截止点为18 ms(2)。 MODS组​​的死亡率为63.6%,非MODS组​​的死亡率为0%(P <.0001)。结论:降低ICU入院时的HRV可能有助于确定有发生MODS风险的败血病患者。

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