The objective of this study is to describe the compensatory reserve index (CRI) baseline values in a healthy cohort of healthy pediatric patients and evaluate the existing correlation with other physiological parameters that influence compensatory hemodynamic mechanisms. CRI is a computational algorithm that has been broadly applied to non-invasively estimate hemodynamic vascular adaptations during acute blood loss. So far, there is a lack of baseline values from healthy individuals, which complicates accurately estimating the severity of the hemodynamic compromise. Additionally, the application of this technology in pediatric populations is limited to a few reports, highlighting a marked variability by age, weight, and other physiological parameters. The CRI of 205 healthy subjects from 0 to 60 years of age were prospectively evaluated from January to February 2020 at several public outpatient clinics in El Salvador; vital signs and sociodemographic data were also collected during this period. After data collection, baseline values were classified for each age group. Multiple correlation models were tested between the CRI and the other physiological parameters. CRI value varies significantly for each age group, finding for patients under 18 years old a mean value lower than 0.6, which is currently considered the lower normal limit for adults. CRI presents strong correlations with other physiological variables such as age, weight, estimated blood volume, and heart rate (R > 0.8, R2 > 0.6, p < 0.0001). There is significant variability in the CRI normal values observed in healthy patients based on age, weight, estimated blood volume, and heart rate.

本研究的目的是描述健康儿科患者健康队列中的代偿储备指数 (CRI) 基线值，并评估与影响代偿性血流动力学机制的其他生理参数的现有相关性。CRI 是一种计算算法，已广泛应用于无创估计急性失血期间的血流动力学血管适应。到目前为止，缺乏来自健康个体的基线值，这使得准确估计血流动力学损害的严重程度变得复杂。此外，这项技术在儿科人群中的应用仅限于少数报告，强调了年龄、体重和其他生理参数的显着差异。2020 年 1 月至 2020 年 2 月，在萨尔瓦多的几家公共门诊对 205 名 0 至 60 岁健康受试者的 CRI 进行了前瞻性评估；在此期间还收集了生命体征和社会人口学数据。数据收集后，对每个年龄组的基线值进行分类。在 CRI 和其他生理参数之间测试了多重相关模型。每个年龄组的 CRI 值差异很大，发现 18 岁以下患者的平均值低于 0.6，这目前被认为是成年人的正常下限。CRI 与年龄、体重、估计血容量和心率等其他生理变量有很强的相关性。在此期间还收集了生命体征和社会人口学数据。数据收集后，对每个年龄组的基线值进行分类。在 CRI 和其他生理参数之间测试了多重相关模型。每个年龄组的 CRI 值差异很大，发现 18 岁以下患者的平均值低于 0.6，这目前被认为是成年人的正常下限。CRI 与年龄、体重、估计血容量和心率等其他生理变量有很强的相关性。在此期间还收集了生命体征和社会人口学数据。数据收集后，对每个年龄组的基线值进行分类。在 CRI 和其他生理参数之间测试了多重相关模型。每个年龄组的 CRI 值差异很大，发现 18 岁以下患者的平均值低于 0.6，这目前被认为是成年人的正常下限。CRI 与年龄、体重、估计血容量和心率等其他生理变量有很强的相关性。发现 18 岁以下患者的平均值低于 0.6，这目前被认为是成人的正常下限。CRI 与年龄、体重、估计血容量和心率等其他生理变量有很强的相关性。发现 18 岁以下患者的平均值低于 0.6，这目前被认为是成人的正常下限。CRI 与年龄、体重、估计血容量和心率等其他生理变量有很强的相关性。R  > 0.8，R 2 > 0.6，p  < 0.0001)。根据年龄、体重、估计的血容量和心率，在健康患者中观察到的 CRI 正常值存在显着差异。