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从 ICU 入院患者的静脉血气因素预测动脉血气因素。

Prediction of Arterial Blood Gas Factors from Venous Blood Gas Factors in Intensive Care Unit Admitted Patients.

机构信息

Anesthesiologist, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.

School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.

出版信息

Arch Iran Med. 2018 Jun 1;21(6):246-250.

Abstract

BACKGROUND

Blood gas analysis is very important in the patients with respiratory problems. Arterial puncture may cause complications such as pain, local hematoma, infection and nerve injury. The procedure itself can be technically difficult. In contrast, venous sampling is an easier procedure with fewer complications. Therefore, this study aims to determine the possibility of replacement of venous blood gas (VBG) values by ABG values in ICU wards admitted patients.

METHODS

In this study, 155 paired blood gas samples collected from patients admitted to ICU wards in Motahari hospital, Marvdasht, Fars, Iran. Statistical means of blood gas parameters, including PO2, PCO2, HCO3 and PH have been compared in both, arterial and venous, blood samples in parallel using paired t-test.

RESULTS

Mean difference of arterial and venous gas parameters, PO2, PCO2 and HCO3 , was significantly differ. All paired gas parameters in arterial and venous blood samples were significantly correlated, while this correlation was stronger between PCO2 and HCO3.

CONCLUSION

To predict the arterial blood gas parameters from VBG parameters, single regression models are of more statistical value compared to multiple regression models. Defined single regression prediction models could be used to predict arterial PCO2 and HCO3 , which may reduce arterial sampling in ICU wards.

摘要

背景

血气分析在呼吸系统疾病患者中非常重要。动脉穿刺可能会导致疼痛、局部血肿、感染和神经损伤等并发症。该操作本身可能具有一定技术难度。相比之下,静脉采血是一种并发症较少且操作更简单的方法。因此,本研究旨在确定在 ICU 病房中,动脉血气(ABG)值能否替代静脉血气(VBG)值。

方法

本研究共收集了 155 对来自伊朗法尔斯省马尔达什特莫塔哈里医院 ICU 病房患者的血气样本。采用配对 t 检验对动脉和静脉血样中的血气参数(包括 PO2、PCO2、HCO3 和 PH)进行平行比较。

结果

动脉和静脉血气参数(PO2、PCO2 和 HCO3)的平均差值有显著差异。动脉和静脉血样中的所有配对血气参数均呈显著相关,而 PCO2 和 HCO3 之间的相关性更强。

结论

与多元回归模型相比,单回归模型在从 VBG 参数预测动脉血气参数方面具有更高的统计学价值。可建立定义明确的单回归预测模型来预测动脉 PCO2 和 HCO3,这可能会减少 ICU 病房中的动脉采血。

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