Department of Intensive Care Medicine, The Queen Elizabeth Hospital, Woodville, Australia.
Crit Care Med. 2012 Mar;40(3):800-12. doi: 10.1097/CCM.0b013e318236f2af.
The mortality outcome of mechanical ventilation, a key intervention in the critically ill, has been variously reported to be determined by intensive care patient volume. We determined the volume-(mortality)-outcome relationship of mechanically ventilated patients whose records were contributed to the Australian and New Zealand Intensive Care Society Adult Patient Database.
DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of 208,810 index patient admissions from 136 Australian and New Zealand intensive care units in the same number of hospitals over the course of 1995-2009.
The patient-volume effect on hospital mortality, overall and at the level of patient (nonsurgical, elective surgical, and emergency surgical) and intensive care unit (rural/regional, metropolitan, tertiary, and private) descriptors, was determined by random-effects logistic regression adjusting for illness severity and demographic and geographical predictors. Annualized patient volume was modeled both as a categorical (deciles) and, with calendar year, a continuous variable using fractional polynomials. The patients were of mean age of 59 yrs (SD, 19 yrs), Acute Physiology and Chronic Health Evaluation III score 66 (32), and 39.4% female, with a hospital mortality of 22.4%. Overall and at both the patient and intensive care unit descriptor levels, no progressive decline in mortality was demonstrated across the annual patient volume range (12-932). Over the whole database, mortality odds ratio for the last volume decile (801-932 patients) was 1.26 (95% confidence interval, 1.06-1.50; p = .009) compared with the first volume decile (12-101 patients). Calendar year mortality decreases were evident (odds ratio, 0.96; 95% confidence interval, 0.94-0.98; p = .0001). Using fractional polynomials, modest curvilinear mortality increases (range, 5%-8%) across the volume range were noted over the whole database for nonsurgical patients and at the tertiary intensive care unit level.
No inverse volume-(mortality)-outcome relationship was apparent for ventilated patients in the Australian and New Zealand Intensive Care Society database. Mechanisms for mortality increments with patient volume were not identified but warrant further study.
机械通气是危重病患者的关键干预措施,其死亡率结果已被各种报道归因于重症监护患者的数量。我们确定了记录被纳入澳大利亚和新西兰重症监护学会成人患者数据库的机械通气患者的数量(死亡率)结果关系。
设计、设置和参与者:回顾性队列研究,纳入了 1995 年至 2009 年期间来自澳大利亚和新西兰 136 个重症监护病房的 208810 名指数患者入院,涉及相同数量的医院。
通过随机效应逻辑回归,根据疾病严重程度和人口统计学及地理预测因素,调整了患者数量对医院死亡率(整体和患者水平,非手术、择期手术和急诊手术患者以及重症监护病房水平,农村/地区、大都市、三级和私立医院)的影响。将患者年度数量建模为分类(十分位数)和连续变量(使用分数多项式),同时考虑日历年度。患者的平均年龄为 59 岁(标准差 19 岁),急性生理学和慢性健康评估评分 66(32),女性占 39.4%,住院死亡率为 22.4%。整体上以及在患者和重症监护病房描述符水平上,在整个患者数量范围内(12-932)没有表现出死亡率的逐步下降。在整个数据库中,最后一个十分位数(801-932 名患者)的死亡率比值比为 1.26(95%置信区间,1.06-1.50;p =.009),而第一个十分位数(12-101 名患者)为 1.00。明显的是,日历年度死亡率下降(比值比,0.96;95%置信区间,0.94-0.98;p =.0001)。使用分数多项式,在整个数据库中,非手术患者和三级重症监护病房水平都观察到了适度的曲线死亡率增加(范围为 5%-8%)。
在澳大利亚和新西兰重症监护学会数据库中,没有发现通气患者的反向数量(死亡率)结果关系。但与患者数量相关的死亡率增加机制尚不清楚,需要进一步研究。