Schulman Andrew M, Claridge Jeffrey A, Carr Gordon, Diesen Diana L, Young Jeffrey S
Trauma Research Laboratory, University of Virginia Health System, Department of Surgery, Charlottesville, Virginia 22908-0709, USA.
J Trauma. 2004 Oct;57(4):795-800. doi: 10.1097/01.ta.0000140835.65944.54.
Prolonged occult hypoperfusion or POH (serum lactate >2.4 mmol/L persisting >12 hours from admission) represents a reversible risk factor for adverse outcomes following traumatic injury. We hypothesized that patients at increased risk for POH could be identified at the time of admission.
Prospective data from adult trauma admissions between January 1, 1998 and December 31, 2000 were analyzed. Potential risk factors for POH were determined by univariate analysis (p < or =0.10= significant). Significant factors were tested in a logistic regression model (LR) (p < or =0.05= significant). The predictive ability of the LR was tested by receiver operating curve (ROC) analysis (p < or =0.05= significant).
Three hundred seventy-eight patients were analyzed, 129 with POH. Injury Severity Score (ISS), emergency department Glasgow Coma Scale score, hypotension, and the individual Abbreviated Injury Scale score (AIS) for Head (H), Abdominal/Pelvic Viscera (A) and Pelvis/Bony Extremity (P) were significantly associated with POH. LR demonstrated that ISS, A-AIS > or =3 and P-AIS > or =3 were independent predictors of POH (p <0.05). ROC analysis of the LR equation was statistically significant (Area=0.69, p <0.001).
We identified factors at admission that placed patients at higher risk for developing POH. Select patients may benefit from rapid, aggressive monitoring and resuscitation, possibly preventing POH and its associated morbidity and mortality.
长时间隐匿性低灌注(POH,即入院后血清乳酸水平>2.4 mmol/L持续超过12小时)是创伤性损伤后不良结局的一个可逆风险因素。我们推测在入院时可以识别出发生POH风险增加的患者。
分析了1998年1月1日至2000年12月31日期间成年创伤患者入院时的前瞻性数据。通过单因素分析确定POH的潜在风险因素(p≤0.10为有意义)。在逻辑回归模型(LR)中对有意义的因素进行检验(p≤0.05为有意义)。通过受试者工作特征曲线(ROC)分析检验LR的预测能力(p≤0.05为有意义)。
共分析了378例患者,其中129例发生POH。损伤严重程度评分(ISS)、急诊科格拉斯哥昏迷量表评分、低血压以及头部(H)、腹部/盆腔脏器(A)和骨盆/四肢骨骼(P)的个体简明损伤量表评分(AIS)与POH显著相关。LR显示ISS、A-AIS≥3和P-AIS≥3是POH的独立预测因素(p<0.05)。LR方程的ROC分析具有统计学意义(曲线下面积=0.69,p<)。
我们确定了入院时使患者发生POH风险更高的因素。部分患者可能受益于快速、积极的监测和复苏,这可能预防POH及其相关的发病率和死亡率。