Spontan Dolaşımın Geri Dönüşünü Tahmin Etmede Delta Karbondioksitin (ΔCO2) Tanısal Değerinin İncelenmesi: Prospektif Tek Merkezli Çalışma

Mehmet Muzaffer İslam, Gökhan Aksel, Serkan Emre Eroğlu, Hayrullah Yönak
{"title":"Spontan Dolaşımın Geri Dönüşünü Tahmin Etmede Delta Karbondioksitin (ΔCO2) Tanısal Değerinin İncelenmesi: Prospektif Tek Merkezli Çalışma","authors":"Mehmet Muzaffer İslam, Gökhan Aksel, Serkan Emre Eroğlu, Hayrullah Yönak","doi":"10.29058/mjwbs.1233918","DOIUrl":null,"url":null,"abstract":"Aim: The carbon dioxide gap or ΔCO2 is the difference between the partial pressure of carbon dioxide \n(pCO2 ) and end-tidal carbon dioxide (ETCO2 ), which should normally not exceed 3-5mmHg. In critically ill \npatients ΔCO2 increases as a result of decreased cardiac output and pulmonary blood flow compromise. \nThe primary outcome of this study is to examine the diagnostic accuracy of ΔCO2 in predicting the return \nof spontaneous circulation (ROSC) in out-of-hospital cardiac arrest (OHCA) patients. \nMaterial and Methods: Non-traumatic OHCA patients over 18 years of age were included in this \nprospective observational study. ETCO2 values were recorded 1 minute after the intubation and arterial \nblood gas samples were acquired simutaneously. The difference between the initial ΔCO2 medians of \nthe ROSC+ and ROSC- patient groups were analyzed and the diagnostic test performance in predicting \nROSC of ΔCO2 was calculated. A regression model was performed to accurately predict ROSC in \nOHCA patients. \nResults: A total of 46 patients were included to the inal analysis. The ΔCO2 median of the ROSC+ group \nwas significantly lower than the ROSC- group (p=0.026, 95%CI:-31 to-3). Area under the curve was \ncalculated as 0.694 (95%CI: 0.532 to 0.855), sensitivity 76.19% (95%CI:52.83 to 91.78%), specificity \n76% (95%CI:54.87 to 90.64), and accuracy 76.09% (95%CI:61.23% to87.41%) for the optimal cut-off \nvalue (51.4 mmHg). The regression model consists of age, initial ETCO2 , and initial cardiac rhythm \nshowed good discrimination in predicting ROSC (AUC=0.846, 95%CI=0.735 to 0.956, p","PeriodicalId":197864,"journal":{"name":"Batı Karadeniz Tıp Dergisi","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Batı Karadeniz Tıp Dergisi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29058/mjwbs.1233918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Aim: The carbon dioxide gap or ΔCO2 is the difference between the partial pressure of carbon dioxide (pCO2 ) and end-tidal carbon dioxide (ETCO2 ), which should normally not exceed 3-5mmHg. In critically ill patients ΔCO2 increases as a result of decreased cardiac output and pulmonary blood flow compromise. The primary outcome of this study is to examine the diagnostic accuracy of ΔCO2 in predicting the return of spontaneous circulation (ROSC) in out-of-hospital cardiac arrest (OHCA) patients. Material and Methods: Non-traumatic OHCA patients over 18 years of age were included in this prospective observational study. ETCO2 values were recorded 1 minute after the intubation and arterial blood gas samples were acquired simutaneously. The difference between the initial ΔCO2 medians of the ROSC+ and ROSC- patient groups were analyzed and the diagnostic test performance in predicting ROSC of ΔCO2 was calculated. A regression model was performed to accurately predict ROSC in OHCA patients. Results: A total of 46 patients were included to the inal analysis. The ΔCO2 median of the ROSC+ group was significantly lower than the ROSC- group (p=0.026, 95%CI:-31 to-3). Area under the curve was calculated as 0.694 (95%CI: 0.532 to 0.855), sensitivity 76.19% (95%CI:52.83 to 91.78%), specificity 76% (95%CI:54.87 to 90.64), and accuracy 76.09% (95%CI:61.23% to87.41%) for the optimal cut-off value (51.4 mmHg). The regression model consists of age, initial ETCO2 , and initial cardiac rhythm showed good discrimination in predicting ROSC (AUC=0.846, 95%CI=0.735 to 0.956, p
目的:二氧化碳间隙或ΔCO2是二氧化碳分压(pCO2)和末潮二氧化碳(ETCO2)之间的差值,通常不应超过3-5mmHg。在危重病人ΔCO2增加,因为心输出量减少和肺血流受损。本研究的主要目的是检验ΔCO2在预测院外心脏骤停(OHCA)患者自发循环恢复(ROSC)方面的诊断准确性。材料和方法:本前瞻性观察研究纳入了18岁以上的非创伤性OHCA患者。插管1分钟后记录ETCO2值,同时采集动脉血气样本。分析ROSC+组和ROSC-组初始ΔCO2中位数的差异,并计算预测ΔCO2 ROSC的诊断测试性能。采用回归模型准确预测OHCA患者的ROSC。结果:46例患者纳入最终分析。ROSC+组的ΔCO2中位数显著低于ROSC-组(p=0.026, 95%CI:-31 ~ 3)。曲线下面积为0.694 (95%CI: 0.532 ~ 0.855),灵敏度为76.19% (95%CI:52.83 ~ 91.78%),特异性为76% (95%CI:54.87 ~ 90.64),准确率为76.09% (95%CI:61.23% ~ 87.41%),最佳临界值为51.4 mmHg。由年龄、初始ETCO2和初始心律组成的回归模型对ROSC的预测具有良好的判别性(AUC=0.846, 95%CI=0.735 ~ 0.956, p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信