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Long-term HRV in critically ill pediatric patients: Coma versus brain death

机译:重症儿科患者的长期HRV:昏迷与脑死亡

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Dysfunctions of the autonomic nervous system in critically ill patients with Acute Brain Injury (ABI) lead to changes in Heart Rate Variability (HRV) which appear to be particularly marked in patients subsequently declared in Brain Death (BD). HRV series are non-stationary, exhibit long memory in the mean and time-varying conditional variance (volatility), characteristics that are well modeled by AutoRegressive Fractionally Integrated Moving Average (ARFIMA) models with Generalized AutoRegressive Conditional Heteroscedastic (GARCH) errors. The long memory is estimated by the parameter d of the ARFIMA-GARCH model, whilst the time-varying conditional variance parameters, u and v characterize, respectively, the short-range and the persistence in the conditional variance. In this work, the ARFIMA-GARCH approach is applied to HRV series of 15 pediatric patients with ABI admitted in a pediatric intensive care unit, 5 of which has BD confirmed and 9 patients survived. The long memory and time-varying conditional variance parameters estimated by ARFIMA-GARCH modeling significantly differ between groups and seem able to contribute to characterize disease severity in children with ABI.
机译:重症急性脑损伤(ABI)患者的自主神经系统功能异常会导致心率变异性(HRV)的变化,这在随后宣布为“脑死亡”(BD)的患者中似乎尤为明显。 HRV系列是非平稳的,在均值和时变条件方差(波动率)中表现出较长的记忆力,这些特性可以很好地通过具有广义自回归条件异方差(GARCH)误差的自回归分数积分移动平均值(ARFIMA)模型进行建模。长内存由ARFIMA-GARCH模型的参数d估计,而时变条件方差参数u和v分别表示条件方差的短距离和持久性。在这项工作中,ARFIMA-GARCH方法适用于在小儿重症监护室收治的15例小儿ABI患者的HRV系列,其中5例已确诊BD,9例存活。通过ARFIMA-GARCH模型估算的长时间记忆和时变条件方差参数在各组之间存在显着差异,并且似乎能够表征ABI儿童的疾病严重程度。

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