Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Centre for Human and Applied Physiological Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Physiol Rep. 2024 Aug;12(15):e16177. doi: 10.14814/phy2.16177.
The compensatory reserve index (CRI), derived from machine learning algorithms from peripherally obtained photoplethysmography signals, provides a non-invasive assessment of cardiovascular stability, that may be useful clinically. Briefly, the CRI device provides a value between 0 and 1, with 1 reflecting full compensable capabilities and 0 reflecting little to no compensable capabilities. However, the CRI algorithm was developed in younger to middle aged adults, such that it is unknown if older age modulates CRI responses to cardiovascular challenges. In young and older subjects, we compared CRI responses to normothermic and hyperthermic progressive lower body negative pressure (LBNP), and volume loading with saline infusion. Eleven younger (20-36 years) and 10 older (61-75 years) healthy participants underwent (1) graded normothermic LBNP up to 30 mmHg, (2) graded hyperthermic (1.5°C increase in blood temperature) LBNP up to 30 mmHg, and (3) infusion of 15 mL/kg saline (volume loading) with hyperthermia maintained. CRI was obtained throughout each procedure. CRI at 30 mmHg LBNP was 0.18 and 0.24 units greater in the older group during normothermic and hyperthermic LBNP, respectively. However, CRI was not different between age groups at any other LBNP stage, nor did CRI change with volume loading regardless of age. In response to passive hyperthermia alone, regression analyses showed that heart rate was the strongest predictor of CRI. Blood temperature, rate pressure product, and stroke volume were also predictive of CRI but to a lesser extent. In conclusion, age attenuates the reduction in CRI during progressive normothermic and hyperthermic LBNP, but only at 30 mmHg. Second, the CRI was unchanged during volume loading in all subjects. Future studies should determine whether the age differences in CRI reflect age differences in LBNP tolerance.
补偿储备指数(CRI),源自机器学习算法,通过外周获得的光体积描记信号得出,提供了一种对心血管稳定性的非侵入性评估,这在临床上可能是有用的。简单地说,CRI 设备提供 0 到 1 之间的值,1 表示完全可补偿能力,0 表示几乎没有可补偿能力。然而,CRI 算法是在年轻到中年成年人中开发的,因此尚不清楚年龄是否会调节 CRI 对心血管挑战的反应。在年轻和年长的受试者中,我们比较了 CRI 对常温下和高温下逐渐进行的下体负压(LBNP)以及盐水输注的容量加载的反应。11 名年轻(20-36 岁)和 10 名年长(61-75 岁)健康参与者接受了以下三种情况的测试:(1)逐渐进行常温 LBNP,直至达到 30mmHg;(2)逐渐进行高温(血液温度升高 1.5°C)LBNP,直至达到 30mmHg;(3)在维持高温的情况下输注 15ml/kg 盐水(容量加载)。在整个过程中都获得了 CRI。在常温下和高温下进行 LBNP 时,年长组在 30mmHg LBNP 时的 CRI 分别增加了 0.18 和 0.24 个单位。然而,在其他任何 LBNP 阶段,两组之间的 CRI 没有差异,并且无论年龄大小,CRI 在容量加载时都没有变化。仅在被动加热的情况下,回归分析表明,心率是 CRI 的最强预测因子。血液温度、心率血压乘积和每搏输出量也可以预测 CRI,但程度较低。总之,年龄会减弱在逐渐进行的常温下和高温下的 LBNP 期间 CRI 的降低,但仅在 30mmHg 时减弱。其次,在所有受试者中,CRI 在容量加载期间保持不变。未来的研究应该确定 CRI 中的年龄差异是否反映了 LBNP 耐受性的年龄差异。