Bochicchio Grant V, Sung Jin, Joshi Manjari, Bochicchio Kelly, Johnson Steven B, Meyer Walter, Scalea Thomas M
R Adams Cowley Shock Trauma Center, Baltimore, MD 21201, USA.
J Trauma. 2005 May;58(5):921-4. doi: 10.1097/01.ta.0000162141.26392.07.
Our objectives were to determine whether persistent hyperglycemia was predictive of outcome in critically ill trauma patients.
Prospective data were collected daily on 942 consecutive trauma patients admitted to the ICU over a 2-year period. Patients were stratified by serum glucose level from day 1 to day 7 (low = 0-139 mg/dL, medium = 140-219 mg/dL, and high >220 mg/dL) age, gender, and ISS. Patients were further stratified by pattern of glucose control (all low, all moderate, all high, improving, worsening, highly variable (HV). Outcome was measured by ventilator days, infection, hospital (HLOS) and ICU (ILOS) length of stay and mortality. Multiple linear regression models were used to determine level of significance.
71% were victims of blunt trauma. The majority (74%) were male with a mean ISS of 21.3 +/- 15. 41% of patients acquired an infection. Patients with medium, high, worsening, and highly variable hyperglycemia were found to have increased ILOS, HLOS, ventilator days, infection rate and mortality by univariate analysis (p < 0.01). When controlling for age, ISS, and glucose pattern, patients with high, worsening and HV hyperglycemia were most predictive of increased ventilator days, ILOS, HLOS, infection and mortality. (p < 0.01).
Trauma patients with persistent hyperglycemia have a significantly greater degree of morbidity and mortality. A prospective randomized controlled study instituting aggressive hyperglycemic control is warranted.
我们的目的是确定持续性高血糖是否可预测重症创伤患者的预后。
在两年期间,每天收集942例连续入住重症监护病房(ICU)的创伤患者的前瞻性数据。根据第1天至第7天的血清葡萄糖水平(低 = 0 - 139mg/dL,中 = 140 - 219mg/dL,高>220mg/dL)、年龄、性别和损伤严重度评分(ISS)对患者进行分层。患者再根据血糖控制模式(全部低、全部中等、全部高、改善、恶化、高度可变(HV))进一步分层。通过呼吸机使用天数、感染情况、住院时间(HLOS)和ICU住院时间(ILOS)以及死亡率来衡量预后。使用多元线性回归模型确定显著性水平。
71%为钝性创伤受害者。大多数(74%)为男性,平均ISS为21.3±15.4。41%的患者发生了感染。单因素分析发现,中度、高度、恶化和高度可变高血糖的患者ILOS、HLOS、呼吸机使用天数、感染率和死亡率增加(p<0.01)。在控制年龄、ISS和血糖模式时,高血糖、恶化和HV高血糖的患者最能预测呼吸机使用天数、ILOS、HLOS、感染和死亡率增加(p<0.01)。
持续性高血糖的创伤患者的发病率和死亡率显著更高。有必要进行一项前瞻性随机对照研究,积极控制高血糖。