Scott Sean, Antonaglia Vittorio, Guiotto Giovanna, Paladino Fiorella, Schiraldi Fernando
Emergency Department, Royal North Shore Hospital, Sydney, Australia.
Crit Care Res Pract. 2010;2010:917053. doi: 10.1155/2010/917053. Epub 2010 Jun 28.
Objective. To evaluate 2-hour lactate clearance as a prognostic marker in acute cardiorespiratory insufficiency. Design. Prospective observational study. Setting. Emergency Department (ED) and 16-bed medical High Dependency Unit (HDU). Methods and Main Results. 95 consecutive admissions from the ED for acute cardiorespiratory insufficiency were prospectively enrolled. Arterial lactate concentration was assessed at ED arrival and 1, 2, 6, and 24 hours later. The predictive value of 2-hour lactate clearance was evaluated for negative outcomes defined as hospital mortality or need for endotracheal intubation versus positive outcomes defined as discharge or transfer to a general medical ward. Logistic regression and ROC curves found 2-hour lactate clearance >15% was a strong predictor of negative outcome (P < .0001) with a sensitivity of 86% (95%CI = 67%-95%) and a specificity of 91% (95%CI = 82%-96%), Positive predictive value was 80% (95%CI = 61%-92%), and negative predictive value was 92% (95%CI = 84%-98%). Conclusions. Systematic monitoring of lactate clearance at 2 hours can be used in to identify patients at high risk of negative outcome and perhaps to tailor more aggressive therapy. Equally important is that a 2-hour lactate clearance >15% is highly predictive of positive outcome and may reassure clinicians that the therapeutic approach is appropriate.
目的。评估2小时乳酸清除率作为急性心肺功能不全预后标志物的价值。设计。前瞻性观察研究。地点。急诊科(ED)和拥有16张床位的医疗高依赖病房(HDU)。方法及主要结果。前瞻性纳入了95例从急诊科连续收治的急性心肺功能不全患者。在到达急诊科时以及随后的1、2、6和24小时评估动脉血乳酸浓度。评估2小时乳酸清除率对定义为医院死亡或需要气管插管的不良结局与定义为出院或转至普通内科病房的良好结局的预测价值。逻辑回归和ROC曲线发现,2小时乳酸清除率>15%是不良结局的有力预测指标(P <.0001),敏感性为86%(95%CI = 67%-95%),特异性为91%(95%CI = 82%-96%),阳性预测值为80%(95%CI = 61%-92%),阴性预测值为92%(95%CI = 84%-98%)。结论。对2小时乳酸清除率进行系统监测可用于识别不良结局风险高的患者,或许还可据此调整更积极的治疗方案。同样重要的是,2小时乳酸清除率>15%对良好结局具有高度预测性,可能会让临床医生放心治疗方法是合适的。