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腹腔内压力监测在危重患者预后分析中的作用
引用本文:俞隼,顾勤,刘宁,高健婷,郭晓芳. 腹腔内压力监测在危重患者预后分析中的作用[J]. 临床麻醉学杂志, 2012, 28(4): 389-391
作者姓名:俞隼  顾勤  刘宁  高健婷  郭晓芳
作者单位:210008,南京医科大学鼓楼临床医学院ICU
基金项目:南京市医学科技发展项目
摘    要:
目的探讨监测腹腔内压力(IAP)在危重患者预后分析中的作用。方法采用前瞻性队列研究方法,选择我院ICU患者221例,采用经膀胱尿管间接测定方法每天监测患者IAP,连续7d。采用受试者操作特征曲线(ROC)比较各预后指标对患者预后的判断。结果存活患者IAP呈逐渐降低趋势,而死亡患者IAP则呈逐渐升高趋势,其中第5、6、7天死亡患者IAP显著高于存活患者(P<0.05或P<0.01)。Logistic多因素回归分析显示患者入ICU后第7天的IAP水平与危重患者的预后相关(OR=1.278,95%CI1.065~1.534,P=0.008)。患者入ICU第7天IAP的曲线下面积(AUC)为0.771±0.041,明显低于APACHEⅡ评分的0.921±0.021和SAPS评分的0.914±0.021(P<0.05或P<0.01)。IAP对预后的截断值为12.13mmHg,预后评价的敏感性为43.9%,特异性94.4%。结论观察IAP的变化有助于评估危重患者的预后情况。

关 键 词:腹腔内压力  重症患者  预后评价  ROC曲线

The prognostic value of intra abdominal pressure in critically ill patients
YU Sun , GU Qin , LIU Ning , GAO Jian-ting , GUO Xiao-fang. The prognostic value of intra abdominal pressure in critically ill patients[J]. The Journal of Clinical Anesthesiology, 2012, 28(4): 389-391
Authors:YU Sun    GU Qin    LIU Ning    GAO Jian-ting    GUO Xiao-fang
Affiliation:.Emergency Intensive Care Unit,Drum Tower Clinical Medical College of Nanjing Medical University,Nanjing 210008,China
Abstract:
Objective To investigate the prognostic value of intra abdominal pressure(IAP) in critically ill patients in intensive care unit(ICU).Methods This was a prospective cohort study and patients were from intensive care unit in Nanjing Gulou hospital.Intraabdominal pressure was measured twice daily via the bladder for 7 days.Receiver operating characteristic(ROC) was used to predict the prognosis.Results IAP decreased in survivors and increased in the death,especially at the 5th,6th and 7th day(P<0.05 or P<0.01).Logistic regression identified IAP at 7th day as an independent predictor of mortality(OR=1.278,95%CI 1.065-1.534,P=0.008).By using receiver operating characteristic analysis,the area under the curve was 0.771±0.041 at 7th day,however the APACHE Ⅱ score was 0.921±0.021 and SAPS score was 0.914±0.021(P<0.05 or P<0.01).The cutoff value of IAP on prognosis was 12.13 mm Hg,with the sensitivity 43.9% and specificity 94.4%.Conclusion IAP dynamics observation can be one of the factors for predicting the prognosis of critically ill patients.
Keywords:Intraabdominal pressure  Critically ill patients  Outcome assessment  ROC curve
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