有创机械通气成人患者氧合指数的相关性。

IF 1.3 Q4 RESPIRATORY SYSTEM Lung India Pub Date : 2024-05-01 Epub Date: 2024-04-30 DOI:10.4103/lungindia.lungindia_523_23
Ravi Jain, Ashish Jain, Srishti Jain, Rohit Jain, Puneet Panwar, Manish Goyal, Anand Kumar Jain, Munesh Meena, Priyamvada Gupta, Hetal Manghwani, Divyansh Gupta
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引用次数: 0

摘要

背景:机械通气是治疗急性呼吸衰竭的关键:机械通气对急性呼吸衰竭的治疗至关重要,但传统的氧饱和度评估方法(如PaO2/FiO2比值)因其侵入性和成本而面临挑战:这项单中心前瞻性观察研究旨在利用 SpO2 测量值评估无创氧饱和度指数 (OSI) 诊断机械通气成人低氧血症的潜力。该研究试图建立 OSI、氧饱和度指数(OI)、PaO2/FiO2 比值和 SpO2/FiO2 比值之间的相关性:方法:从 2022 年 8 月至 2023 年 7 月,收集了 1055 名机械通气重症监护病房患者的数据。统计分析包括相关性检验、接收者操作曲线(ROC)分析和低氧血症诊断临界值的确定:我们发现,P/F 比值与 OI(低氧血症组相关系数为 -0.832,P 值为 0.000;非低氧血症组相关系数为 -0.888,P 值为 0.000)和 OSI(低氧血症组相关系数为 -0.746,P 值为 0.000,非低氧血症组相关系数-0.629,P 值:0.000),并与 P/F 比值呈正相关(低氧血症组相关系数 0.92,P 值:0.000,非低氧血症组相关系数-0.67,P 值:0.000)。在 ROC 分析中,P/F 比值是预测缺氧最准确的指标,其次是 OI 和 OSI,OI 临界值为 7.07,OSI 临界值为 3.90,诊断低氧血症的灵敏度为 80%:结论:OSI 可作为 OI 的可靠替代指标,简化 ARDS 严重程度的评估。P/F比值是最准确的缺氧预测指标。还需要进一步的研究,尤其是更大规模的多中心研究,来验证这些发现,并探索使用 OSI 监测机械通气患者氧合情况的长期临床意义。
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Correlation of oxygenation indices in invasive mechanical ventilated adult patients.

Background: Mechanical ventilation is essential for managing acute respiratory failure, but traditional methods of assessing oxygenation, like the PaO2/FiO2 ratio, pose challenges due to invasiveness and cost.

Objective: This single-centre prospective observational study aimed to assess the potential of the non-invasive Oxygen Saturation Index (OSI), utilising SpO2 measurements, to diagnose hypoxemia in mechanically ventilated adults. The study sought to establish correlations between OSI, oxygenation index (OI), PaO2/FiO2 ratio and SpO2/FiO2 ratio.

Methods: From August 2022 to July 2023, data was collected from 1055 mechanically ventilated intensive care unit patients. Statistical analysis included correlation tests, receiver operating curve (ROC) analysis and cut-off value determination for hypoxemia diagnosis.

Results: We found that the P/F ratio had a statistically significant negative correlation with OI (correlation coefficient -0.832, P value: 0.000 in hypoxemic group and correlation coefficient -0.888, P value: 0.000 in the non-hypoxemic group), and OSI (correlation coefficient -0.746, P value: 0.000 in hypoxemic group and correlation coefficient -0.629, P value: 0.000 in non-hypoxemic group) and has a positive correlation with P/F ratio (correlation coefficient 0.92, P value: 0.000 in hypoxemic group and correlation coefficient -0.67, P value: 0.000 in non-hypoxemic group). OI and OSI had a statistically significant correlation (correlation coefficient 0.955, P value: 0.000 in hypoxemic group and correlation coefficient 0.815, P value: 0.000 in non-hypoxemic group). on ROC analysis P/F ratio was the most accurate in predicting hypoxia followed by OI and OSI. with a cut-off value, of OI being 7.07, and that for OSI being 3.90, at an 80% sensitivity level to diagnose hypoxemia.

Conclusion: OSI can serve as a dependable surrogate for OI, simplifying ARDS severity assessment. The P/F ratio is the most accurate predictor of hypoxia. Further research, especially in larger multicentre studies, is needed to validate these findings and explore the long-term clinical implications of using OSI for oxygenation monitoring in mechanically ventilated patients.

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来源期刊
Lung India
Lung India RESPIRATORY SYSTEM-
CiteScore
2.30
自引率
12.50%
发文量
114
审稿时长
37 weeks
期刊最新文献
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