Senouci Kamel, Guerrini Patrice, Diene Eloi, Atinault Alain, Claquin Jacky, Bonnet Francis, Tuppin Philippe
Etablissement français des Greffes, 5 rue Lacuée, 75012 Paris, France.
Intensive Care Med. 2004 Jan;30(1):38-44. doi: 10.1007/s00134-003-1923-8. Epub 2003 Aug 16.
To identify factors to improve the identification of brain dead patients in intensive care units (ICUs).
Prospective study conducted in 79 ICUs in 54 hospitals.
All hospitalized patients with a Glasgow Coma Scale (GCS) score less than 8.
During the study period hospital staff completed a form for each patient with a GCS less than 8. Hospital information units provided us with statistics from the discharge forms. The characteristics of the hospitals were also recorded. We included a total of 792 patients with a GCS less than 8; 120 of these patients were diagnosed as being clinically brain dead (15.1%). These patients accounted for 11.8% of the comatose patients in ICUs, 11.7% of the deaths occurring in ICUs, and 3.3% of the deaths that occurred in the hospital during the study period. Two multivariate linear regressions were performed to predict the number of clinically brain dead patients in the ICUs. The regression analyses included causes of death or causes of coma, and hospital characteristics. The presence of a coordination team and the number of transplant coordinators were positively associated with the number of brain dead patients in both models. The number of patients carried to the ICU by a mobile emergency unit was also positively associated in the model with causes of coma.
Increasing the number of hospital coordinators and collaboration with mobile emergency units should lead to the identification of more brain dead patients among comatose patients in ICUs.
确定改善重症监护病房(ICU)中脑死亡患者识别的因素。
在54家医院的79个ICU中进行的前瞻性研究。
所有格拉斯哥昏迷量表(GCS)评分低于8分的住院患者。
在研究期间,医院工作人员为每个GCS评分低于8分的患者填写一份表格。医院信息部门为我们提供出院表格中的统计数据。还记录了医院的特征。我们共纳入792例GCS评分低于8分的患者;其中120例患者被诊断为临床脑死亡(15.1%)。这些患者占ICU昏迷患者的11.8%,占ICU死亡患者的11.7%,占研究期间医院死亡患者的3.3%。进行了两个多变量线性回归以预测ICU中临床脑死亡患者的数量。回归分析包括死亡原因或昏迷原因以及医院特征。在两个模型中,协调团队的存在和移植协调员的数量与脑死亡患者的数量呈正相关。在昏迷原因模型中,由移动急救单元送往ICU的患者数量也呈正相关。
增加医院协调员的数量并与移动急救单元合作,应能在ICU昏迷患者中识别出更多脑死亡患者。