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        west china medical publishers
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        find Author "郝迎迎" 2 results
        • 單核細胞 HLA-DR 和 T 淋巴細胞亞群預測嚴重創傷繼發感染的臨床研究

          目的 探討連續監測單核細胞人類白細胞抗原 DR(HLA-DR)表達率變化及外周血 T 淋巴細胞亞群比例變化對嚴重創傷繼發感染的預測價值。 方法 納入 2014 年 6 月至 2016 年 6 月南京大學醫學院附屬鼓樓醫院重癥醫學科收治的 26 例嚴重創傷患者,用流式細胞學方法檢測其入院當天及第 3、5、7 d 外周血 HLA-DR 表達率及 T 淋巴細胞亞群比例,根據患者 28 d 內感染情況分為非感染組、局部感染組和全身感染組,分析 HLA-DR 表達率變化規律和 T 淋巴細胞亞群比例變化規律與感染的關系。 結果 26 例嚴重創傷患者中發生局部感染 10 例,全身感染12 例,感染率達 84.6%。與非感染組及局部感染組比較,全身感染組第 7 d 的 HLA-DR 表達率顯著降低。與非感染組比較,局部感染組和全身感染組第 7 d 的 CD4+/CD8+ 比例顯著降低。 結論 外周血單核細胞表面 HLA-DR 表達率及外周血 T 淋巴細胞亞群比例的連續監測在預測嚴重創傷患者繼發感染、判斷預后和預防治療感染中具重要價值。

          Release date:2017-07-24 01:54 Export PDF Favorites Scan
        • Clinical study on the predictive value of dynamic energy expenditure monitoring to guide the weaning from mechanical ventilation

          ObjectiveTo compare the predictive values of dynamic energy expenditure (EE) monitoring and the traditional method (rapid shallow breath index) for weaning in patient who is suitable for weaning from mechanical ventilation and accepts sequentially reduced support of ventilator.MethodsThis study included a total of 93 patients who were admitted to the Department of Intensive Care Medicine in 2018 to 2019, and were eligible for weaning from mechanical ventilation. The energy expenditure monitoring device of GE ventilator (CARESCAPE R860) was used to record the patient's change rate of EE [δEE(%), T1 (PSV 20/5), T2 (PSV 15/5), T3 (PSV 10-5/5), T4 (PSV 5/5)] while the ventilation support was declined. The differences in δEE were compared between the two groups of patients who were successful weaned (a successful group S) or failed (a failed group) at different phases. The receiver operator characteristic (ROC) curve was used to analyze the predictive value of δEE to the success rate of weaning.ResultA total of 36 patients failed weaning procedure. There was no significant difference in the basic status and disease type between the successful group and the failed group. There was no difference in δEE1 between T1-T2 phases [(5.67±2.31)% vs. (6.40±1.90)%, P>0.05], but significant difference in δEE between T2-T3 and T3-T4 phases [δEE2: (11.35±5.39)% vs. (14.21±6.33)%, P<0.05; δEE3: (8.39±3.90)% vs. (17.32±9.07)%, P<0.05]. The area under the ROC curve predicted by δEE2 and δEE3 for the patient's weaning results was higher than rapid shallow breath index (0.83 and 0.75 vs. 0.64, P<0.05).ConclusionDynamic energy expenditure monitoring can effectively evaluate and predict the success rate of weaning from mechanical ventilation, and can be applied to the clinical treatment process.

          Release date:2021-06-30 03:37 Export PDF Favorites Scan
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