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