Tibby Shane M, Frndova Helena, Durward Andrew, Cox Peter N
Department of Critical Care Medicine, Hospital for Sick Children, Toronto, Canada.
Crit Care Med. 2003 Jul;31(7):2059-67. doi: 10.1097/01.CCM.0000069539.65980.58.
To develop a power-law model for measurement of heart rate variability (HRV) and to compare this model with established methods for measuring HRV in a group of children with organ failure (OF).
Prospective, observational study.
Pediatric intensive care unit of a tertiary children's hospital.
A total of 104 measurements were made on 50 patients (median age, 8 months; range, 2 days to 16 yrs) and categorized into three groups according to the number of simultaneous organs failing: 0-1 OF, 2 OF, and >/=3 OF.
Heart rate was recorded over a 5-min period when patients were hemodynamically stable. The power-law model represents a power function relating frequency distribution to magnitude of effect (in this case, squared deviation from the mean heart rate). Plotting the data on a bi-logarithmic scale produces a regression line for each measurement, described in terms of r2, slope, and x-intercept. Comparison with other HRV measures included two time-domain measures (sd of the normal R-R intervals and the square root of the mean squared differences of successive normal R-R intervals), one frequency-domain method (power spectral analysis), and one nonlinear method (detrended fluctuation analysis).
For the power-law model, patients exhibited a similar r2 of.87 (.09) (mean [sd]) and slope of -1.80 (0.29), regardless of the degree of OF. HRV could thus be described purely in terms of x-intercept, which demonstrated a left shift with increasing OF (p <.001). This was independent of age and heart rate. Loss of HRV with increasing OF was demonstrated by all methods; however, only the power-law model was able to discriminate between each OF group. Using the model, change in HRV in individual patients over successive days often concurred qualitatively with the change in OF status.
The power-law model is an appropriate measure of HRV in pediatric patients, being neither age nor heart rate sensitive. Loss of HRV occurs with increasing OF; this effect was better demonstrated by the model compared with other measures of HRV.
建立一种用于测量心率变异性(HRV)的幂律模型,并将该模型与一组器官衰竭(OF)儿童中已确立的HRV测量方法进行比较。
前瞻性观察性研究。
一家三级儿童医院的儿科重症监护病房。
对50例患者(中位年龄8个月;范围2天至16岁)共进行了104次测量,并根据同时衰竭的器官数量分为三组:0 - 1个OF、2个OF和≥3个OF。
在患者血流动力学稳定时记录5分钟内心率。幂律模型表示一种将频率分布与效应大小(在这种情况下,与平均心率的平方偏差)相关联的幂函数。在双对数尺度上绘制数据会为每次测量生成一条回归线,用r2、斜率和x截距来描述。与其他HRV测量方法的比较包括两种时域测量方法(正常R - R间期的标准差和连续正常R - R间期均方差的平方根)、一种频域方法(功率谱分析)和一种非线性方法(去趋势波动分析)。
对于幂律模型,无论OF程度如何,患者的r2相似,为0.87(0.09)(均值[标准差]),斜率为 - 1.80(0.29)。因此,HRV可以仅用x截距来描述,x截距随着OF增加而向左偏移(p <.001)。这与年龄和心率无关。所有方法均表明随着OF增加HRV降低;然而,只有幂律模型能够区分每个OF组。使用该模型,个体患者连续几天HRV的变化在质量上通常与OF状态的变化一致。
幂律模型是儿科患者HRV的一种合适测量方法,对年龄和心率均不敏感。随着OF增加HRV降低;与其他HRV测量方法相比,该模型能更好地证明这种效应。