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基于自动肱动脉袖带的心输出量评估对休克治疗患者的临床决策指导:希腊雅典的一项初步研究

Clinical decision guidance by an automated, brachial cuff-based cardiac output assessment in patients with shock under treatment: a pilot study in Athens, Greece.

作者信息

Xanthis Dimitrios, Kanatas Panagiotis, Mouziouras Dimitrios, Argyris Antonios A, Vernikos Pavlos, Mastakoura Georgia, Athanasopoulou Elpida, Papaioannou Theodore G, Protogerou Athanase D

机构信息

Cardiovascular Prevention and Research Unit, Clinic and Laboratory of Pathophysiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

Intensive Care Unit, Laiko General Hospital, Athens, Greece.

出版信息

Acute Crit Care. 2025 May;40(2):273-281. doi: 10.4266/acc.001728. Epub 2025 May 23.

Abstract

BACKGROUND

Cardiac output (CO) estimation in patients in intensive care units (ICUs) by a non-invasive, automated, oscillometric, cuff-based apparatus (Mobil-O-Graph [MG]) is reproducible with acceptable accuracy versus thermodilution. In this pilot study, we tested the hypothesis that clinical decisions based on the MG device are in agreement with those based on invasive measurements using a Swan-Ganz catheter (SGC).

METHODS

Hemodynamic monitoring using an SGC and an MG was performed on 20 consenting critically ill patients in shock and under treatment, hospitalized in ICU. Retrospectively, three ICU physicians were asked to determine the need for blood transfusion, inotropes, fluids, diuretics, oxygen, and vasoconstrictive agents. Decisions (defined as "need for action" or "no action") were based: (i) on SGC-acquired data and standard ICU monitoring (SIM); (ii) on MG-acquired data and SIM; (iii) SIM only. The decisions were compared using Cohen's kappa agreement coefficient and Wilcoxon's nonparametric test.

RESULTS

The overall number of decisions, as well as the subanalysis of "need for action" decisions, based either on information from an SGC or MG, were comparable. The significant positive kappa agreement coefficients indicated moderate to strong agreement. MG-derived decisions agreed with SGC-derived decisions to a significantly higher degree compared with SIM-based decisions.

CONCLUSIONS

Clinical decisions in the ICU setting based on MG data were in acceptable agreement with SGC-based decisions. Larger studies are required to confirm this finding. MG devices may provide a simple, operator-independent, low-cost, first-line bedside method for simultaneous continuous monitoring of blood pressure and CO levels in critically ill patients outside the ICU.

摘要

背景

在重症监护病房(ICU)中,使用无创、自动、示波法、基于袖带的设备(Mobil-O-Graph [MG])估计心输出量(CO)与热稀释法相比具有可重复性且准确性可接受。在这项初步研究中,我们检验了基于MG设备做出的临床决策与使用Swan-Ganz导管(SGC)进行有创测量所做决策一致的假设。

方法

对20名同意参与的、因休克正在接受治疗的重症患者在ICU住院期间使用SGC和MG进行血流动力学监测。回顾性地,邀请三名ICU医生确定输血、使用正性肌力药物、补液、使用利尿剂、吸氧和使用血管收缩剂的必要性。决策(定义为“需要采取行动”或“无需采取行动”)基于:(i)SGC获取的数据和标准ICU监测(SIM);(ii)MG获取的数据和SIM;(iii)仅基于SIM。使用Cohen's kappa一致性系数和Wilcoxon非参数检验对决策进行比较。

结果

基于SGC或MG信息的决策总数以及“需要采取行动”决策的亚分析具有可比性。显著的正kappa一致性系数表明中度至高度一致。与基于SIM的决策相比,MG得出的决策与SGC得出的决策在更高程度上一致。

结论

在ICU环境中基于MG数据做出的临床决策与基于SGC的决策具有可接受的一致性。需要更大规模的研究来证实这一发现。MG设备可能为ICU外的重症患者同时连续监测血压和CO水平提供一种简单、无需操作人员干预、低成本的一线床边方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19b1/12151725/b3286649e7dc/acc-001728f1.jpg

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