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[机械通气患者机械功率暴露强度及持续时间的可视化方法]

[Visualization method of mechanical power exposure intensity and duration in mechanical ventilation patients].

作者信息

Zhang Jingru, Chen Zhizhong, Gong Shurong, Chen Han

机构信息

School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, Fujian, China.

Fujian Foxit Software Development Joint Stock Co. Ltd., Fuzhou 350003, Fujian, China.

出版信息

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2024 Jul;36(7):705-711. doi: 10.3760/cma.j.cn121430-20240116-00049.

Abstract

OBJECTIVE

To visualize the relationship between different combinations of mechanical power exposure intensity-duration and death risk in mechanical ventilation patients using a visualization method.

METHODS

Critically ill patients receiving mechanical ventilation were selected from the Medical Information Mart for Intensive Care- IV v1.0 (MIMIC- IV v1.0) database. The patients were divided into four subgroups according to oxygenation index (PaO/FiO) including > 300 mmHg (1 mmHg ≈ 0.133 kPa) group, 201-300 mmHg group, 101-200 mmHg group and ≤100 mmHg group. The baseline characteristics, ventilator parameters, and prognostic indicators for different patient populations were collected. For each patient, the mechanical power thresholds from low to high (5-30 J/min, increasing at intervals of 1 J/min) were used to evaluate the different exposures of mechanical power (above the set threshold was recorded as one exposure), and the number of events with different exposure intensity-duration combinations was counted based on their corresponding durations. Based on the 28-day survival/non-survival status, the number of exposures for survivors and non-survivors in each exposure intensity-duration combination was calculated, and the survival odds ratio (OR) for different mechanical power exposure intensity-duration combinations was subsequently computed. Two-dimensional tables were generated with mechanical power exposure duration on the x-axis and exposure intensity on the y-axis, and the heatmap and its corresponding equipotential line view were used to visualize the OR value to assess the risk of death.

RESULTS

A total of 5 378 patients receiving mechanical ventilation were enrolled in the study, of whom 2 069 patients in the PaO/FiO > 300 mmHg group, 813 patients in the 201-300 mmHg group, 1 493 patients in the 101-200 mmHg group, and 1 003 patients in the ≤100 mmHg group. The severity scores of patients, including sequential organ failure assessment (SOFA) score and simplified acute physiology score II (SAPS II), gradually increased following the decrease in PaO/FiO, and the incidence of co-morbidities also gradually increased. In terms of ventilator parameters, mechanical power was increased gradually with decrease in PaO/FiO, measuring 10.4 (7.8, 13.9), 11.3 (8.5, 14.7), 13.6 (10.0, 18.2), and 16.7 (12.5, 22.0) J/min (P < 0.01). In terms of prognosis, 28-day mortality of patients was gradually increased with decrease in PaO/FiO [29.1% (601/2 069), 26.9% (219/813), 28.1% (420/1 493), and 33.3% (334/1 003), respectively, P < 0.05]. In the heatmap, it could be observed that the 28-day death risk of mechanical ventilation patients was gradually increased with increase in mechanical power exposure intensity and long duration, showing two distinct areas: a region near the bottom left corner (representing low mechanical power exposure intensity and short duration) was blue, indicating a greater chance of survival. In contrast, another region near the top right corner (representing high mechanical power exposure intensity and long duration) was red, indicating a higher risk of death. According to the fitted lines of death risk, for the same risk of death, a shorter mechanical power exposure duration was required for higher exposure intensity, while lower mechanical power exposure intensity required a longer exposure duration. The above trend of change was similarly reflected in the overall population and different oxygenation populations.

CONCLUSIONS

Cumulative mechanical power exposure to higher intensity and/or longer duration is associated with worse outcomes in mechanical ventilation patients. Considering both the mechanical power exposure intensity and duration may help to evaluate the effectiveness of lung protection in mechanical ventilation patients and guide adjustments in mechanical ventilation strategy to reduce the risk of ventilator-induced lung injury.

摘要

目的

采用可视化方法直观呈现机械通气患者机械功率暴露强度 - 持续时间的不同组合与死亡风险之间的关系。

方法

从重症监护医学信息数据库 - IV v1.0(MIMIC - IV v1.0)中选取接受机械通气的重症患者。根据氧合指数(PaO₂/FiO₂)将患者分为四个亚组,包括>300 mmHg(1 mmHg≈0.133 kPa)组、201 - 300 mmHg组、101 - 200 mmHg组和≤100 mmHg组。收集不同患者群体的基线特征、呼吸机参数和预后指标。对于每位患者,使用从低到高的机械功率阈值(5 - 30 J/min,以1 J/min的间隔递增)评估机械功率的不同暴露情况(高于设定阈值记为一次暴露),并根据相应持续时间计算不同暴露强度 - 持续时间组合的事件数。基于28天生存/非生存状态,计算每个暴露强度 - 持续时间组合中幸存者和非幸存者的暴露次数,随后计算不同机械功率暴露强度 - 持续时间组合的生存优势比(OR)。生成以机械功率暴露持续时间为x轴、暴露强度为y轴的二维表格,并使用热图及其相应的等势线视图直观呈现OR值以评估死亡风险。

结果

本研究共纳入5378例接受机械通气的患者,其中PaO₂/FiO₂>300 mmHg组2,069例,201 - 300 mmHg组813例,101 - 200 mmHg组1,493例,≤100 mmHg组1,003例。患者的严重程度评分,包括序贯器官衰竭评估(SOFA)评分和简化急性生理学评分II(SAPS II),随着PaO₂/FiO₂的降低而逐渐升高,合并症的发生率也逐渐增加。在呼吸机参数方面,机械功率随着PaO₂/FiO₂的降低而逐渐增加,分别为10.4(7.8,13.9)、11.3(8.5,14.7)、13.6(10.0,18.2)和16.7(12.5,22.0)J/min(P<0.01)。在预后方面,患者的28天死亡率随着PaO₂/FiO₂的降低而逐渐升高[分别为29.1%(601/2,069)、26.9%(219/813)、28.1%(420/1,493)和33.3%(334/1,003),P<0.05]。在热图中可以观察到,机械通气患者的28天死亡风险随着机械功率暴露强度的增加和持续时间的延长而逐渐升高,呈现出两个明显的区域:左下角附近的区域(代表低机械功率暴露强度和短持续时间)为蓝色,表明生存机会更大。相比之下,右上角附近的另一个区域(代表高机械功率暴露强度和长持续时间)为红色,表明死亡风险更高。根据死亡风险拟合线,对于相同的死亡风险,较高的暴露强度需要较短的机械功率暴露持续时间,而较低的机械功率暴露强度需要较长的暴露持续时间。上述变化趋势在总体人群和不同氧合人群中均有类似体现。

结论

机械通气患者累积暴露于更高强度和/或更长持续时间的机械功率与更差的预后相关。综合考虑机械功率暴露强度和持续时间可能有助于评估机械通气患者肺保护的有效性,并指导调整机械通气策略以降低呼吸机相关性肺损伤的风险。

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