Oregon Health & Science University, Portland, OR, 97239, USA.
Bexen Cardio, Ermua, Bizkaia, Spain.
Resuscitation. 2018 Sep;130:133-137. doi: 10.1016/j.resuscitation.2018.06.037. Epub 2018 Jun 30.
Measurement of chest velocity has been proposed as an alternative method to identify responder leaning during cardiopulmonary resuscitation (CPR). Leaning is defined in terms of force, but no study has tested the utility of chest velocity in the presence of force measurements that directly measure leaning.
We analyzed 1004 out-of-hospital cardiac arrest (OHCA) files collected with Q-CPR monitors in the Portland, Oregon, USA metro region from 2006 to 2017. Records contained accelerometry and force signals. For each chest compression, the following metrics were computed: minimum force at the end of the compression (F), compression depth, compression rate, maximum chest velocity during recoil (v) and maximum rate of change in force during chest release (ʋ). A compression was classified as having leaning if F was greater than 2.5 kg-f. The ability of v and ʋ to predict F was estimated with generalized linear models, and their ability to identify leaning with logistic regression.
The data set contained over 1.5 million chest compressions, 21% compliant with 2015 rate and depth guidelines for CPR (the G2015 population). Leaning was uncommon generally (12%), and less common in G2015 compliant compressions (5%). Leaning and F decreased with both v and ʋ but with extensive overlap. Neither v nor ʋ, alone or in combination with chest compression rate and depth, reliably predicted leaning or F.
Leaning cannot be reliably identified from v or ʋ, alone or in combination with currently recommended chest compression metrics in out-of-hospital CPR.
已经提出测量胸部速度作为识别心肺复苏(CPR)期间响应者倾斜的替代方法。倾斜是根据力来定义的,但尚无研究测试在存在直接测量倾斜的力测量的情况下胸部速度的实用性。
我们分析了 2006 年至 2017 年在美国俄勒冈州波特兰市地区使用 Q-CPR 监测器收集的 1004 份院外心脏骤停(OHCA)记录。记录包含加速度计和力信号。对于每次胸部按压,计算以下指标:压缩结束时的最小力(F)、压缩深度、压缩率、回弹过程中的最大胸部速度(v)和胸部释放过程中力的最大变化率(ʋ)。如果 F 大于 2.5kgf,则将压缩分类为具有倾斜。使用广义线性模型估计 v 和 ʋ 预测 F 的能力,并使用逻辑回归估计它们识别倾斜的能力。
数据集包含超过 150 万次胸部按压,其中 21%符合 2015 年 CPR 速率和深度指南(G2015 人群)。倾斜通常很少见(12%),在符合 G2015 指南的按压中更少见(5%)。倾斜和 F 随 v 和 ʋ 而降低,但存在广泛重叠。无论是 v 还是 ʋ,单独或与胸部压缩率和深度组合,都不能可靠地预测倾斜或 F。
在院外 CPR 中,单独或与目前推荐的胸部压缩指标组合,都不能可靠地从 v 或 ʋ 识别倾斜。