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预测方程估算死腔与潮气量分数与危重症患者的死亡率相关。

Prediction equation to estimate dead space to tidal volume fraction correlates with mortality in critically ill patients.

机构信息

Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA.

Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA.

出版信息

J Crit Care. 2014 Apr;29(2):317.e1-3. doi: 10.1016/j.jcrc.2013.12.009. Epub 2013 Dec 30.

Abstract

OBJECTIVE

The measurement of dead space to tidal volume fraction (Vd/Vt) using various methodologies has been shown to be a reliable predictor of mortality in critically ill patients. In this study, we evaluated the correlation of a validated equation using clinically available information to predict calculation of Vd/Vt with clinically relevant outcome parameters in patients requiring mechanical ventilation.

METHODS

Calculations of Vd/Vt were obtained based upon a previously published prediction equation for dead space ventilation fraction: Vd/Vt = 0.320 + 0.0106 (Paco2--end-tidal carbon dioxide measurement) + 0.003 (respiratory rate per minute) + 0.0015 (age in years) on study days 1, 3 to 4, 6 to 9, and 14 after initiation of mechanical ventilation in adult patients who satisfied 1 of the 3 study defined diseases: (1) acute bacterial pneumonia, (2) acute respiratory distress syndrome, or (3) cystic fibrosis.

RESULTS

Using the final/last available time point calculation of Vd/Vt, a significant difference was observed between survivors and nonsurvivors both in relation to mean and median values (56.5% vs 71.2% and 56.0% vs 65.0%, respectively). In addition, sequential analyses of Vd/Vt calculations over time also demonstrated a statistically significant difference between survivors and nonsurvivors for days 6 to 9.

CONCLUSION

In this study-specific population of critically ill patients, the prediction equation of Vd/Vt using clinically available parameters correlates with mortality. In addition, we provide a simple method to estimate Vd/Vt that can be potentially applicable to all critically ill intensive care unit patients.

摘要

目的

使用各种方法测量死腔与潮气量比值(Vd/Vt)已被证明是预测危重症患者死亡率的可靠指标。本研究评估了一种使用临床可用信息验证的方程,预测计算 Vd/Vt 与需要机械通气的患者的临床相关结局参数的相关性。

方法

根据先前发表的预测死腔通气分数的方程计算 Vd/Vt:Vd/Vt = 0.320 + 0.0106(Paco2-呼气末二氧化碳测量值)+ 0.003(每分钟呼吸频率)+ 0.0015(年龄),在满足以下 3 种研究定义疾病之一的成年患者中,机械通气开始后第 1、3 至 4、6 至 9 和 14 天进行计算:(1)急性细菌性肺炎,(2)急性呼吸窘迫综合征,或(3)囊性纤维化。

结果

使用最后一次可用时间点的 Vd/Vt 计算,幸存者和非幸存者之间的均值和中位数均有显著差异(分别为 56.5%比 71.2%和 56.0%比 65.0%)。此外,对不同时间点 Vd/Vt 计算的连续分析也表明,幸存者和非幸存者之间在第 6 至 9 天之间存在统计学差异。

结论

在本研究特定的危重症患者人群中,使用临床可用参数预测 Vd/Vt 与死亡率相关。此外,我们提供了一种简单的估计 Vd/Vt 的方法,可能适用于所有危重症监护病房患者。

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