1.Impact of early invasive blood pressure monitoring on outcomes in out-of-hospital cardiac arrest patients undergoing extracorporeal cardiopulmonary resuscitation
Xiaodong SONG ; Mingjun HUANG ; Jun LI ; Hang GUO ; Yao LUO ; Jin TAO ; Yuepeng HU ; Qiang ZHANG ; Xinya JIA ; Liu YANG ; Tangjuan ZHANG ; Dongqing DOU ; Jianliang CAO ; Hui ZHAO ; Genglei CAO ; Yabai KAN ; Xingxing LI ; Chao LAN
Chinese Journal of Emergency Medicine 2025;34(7):932-939
Objective:To investigate the impact of early invasive arterial blood pressure (IBP) monitoring on survival and neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients undergoing extracorporeal cardiopulmonary resuscitation (ECPR).Methods:This retrospective cohort study analyzed 44 OHCA patients receiving ECPR between January 2021 and January 2023. Patients were divided into: Early intervention group : IBP established within 3 min of ECMO initiation; Late intervention group : IBP established after ICU admission. Baseline characteristics, ECMO parameters, and clinical outcomes were compared. Multivariable logistic regression (adjusted for age, initial rhythm, etc.) and Spearman's correlation were used.Results:This study included a total of 44 patients treated with OHCA and ECPR, divided into an early intervention group of 23 cases and a late intervention group of 21 cases. The early intervention group showed significantly higher: Survival to discharge (43.5% vs. 9.5%, P<0.05), Good neurological recovery (CPC 1-2: 34.8% vs. 9.5%, P<0.05).Early intervention independently predicted survival (adjusted OR=18.84, 95% CI:1.97-179.98, P=0.01). Stratified analysis by pH (cutoff 7.0) demonstrated consistent benefits in both pH>7.0 ( aOR=0.392, 95% CI:0.106-0.678) and pH≤7.0 subgroups ( aOR=0.385, 95% CI: 0.075-0.695; interaction P=0.183). Early IBP positively correlated with CPC scores ( ρ=0.40, P=0.007). Conclusions:Early IBP monitoring significantly improves survival and neurological outcomes in OHCA-ECPR patients, supporting its integration into standardized protocols.
2.Clinical diagnostic value of computed tomography features of corona virus disease 2019 in 17 cases
Yu WU ; Yafang DOU ; Songhua ZHAN ; Shuguang CHU ; Ailan CHENG ; Dongqing ZHANG
Chinese Journal of Infectious Diseases 2020;38(4):211-214
Objective:To investigate the specific chest computed tomography(CT) features of corona virus disease 2019 (COVID-19) and to evaluate its clinical diagnostic value.Methods:The clinical data of 35 cases with suspected COVID-19 from Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital Affiliated to Tongji University from January 1 to February 14, 2020 were retrospectively analyzed. A total of 17 cases with positive results of two times of real time polymerase chain reaction (RT-PCR) for 2019 novel coronavirus (2019-nCoV) were evaluated as the case group, and the remaining 18 cases with negative results of two times of RT-PCR for 2019-nCoV were evaluated as the control group. The features of chest CT images of 35 cases were obtained. The frequencies of four CT imaging indicators including ground glass opacities (GGO), crazy paving, heterogeneous consolidation and mutiple subpleural lesions were analyzed. The sensitivity, specificity, positive predictive values (PPV) and negative predictive value (NPV) for COVID-19 were calculated.Results:In the case group, there were 11 cases with GGO, seven cases with crazy paving, six cases with heterogeneous consolidation, and 16 cases with mutiple subpleural lesions, while in the control group, there were seven cases with GGO, one case with crazy paving, six cases with heterogeneous consolidation, and five cases with mutiple subpleural lesions. When multiple subpleural lesions or any two of the CT imaging indicators were used as the characteristic indicators, the diagnosis efficiencies were better, with the sensitivity, specificity, PPV, NPV and Youden index of 94.12%, 72.22%, 76.19%, 98.86% and 0.66, respectively, and 88.24%, 77.78%, 78.95%, 87.50% and 0.66, respectively.Conclusions:Chest CT indictors are of high clinical diagnostic value for COVID-19. Any two of the four CT indicators (GGO, crazy paving, heterogeneous consolidation and mutiple subpleural lesions) or the single characteristics (mutiple subpleural lesions) are of high diagnostic efficacy.

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