University of Maryland Medical Center, University of Maryland School of Medicine, Baltimore, MD, USA.
J Am Coll Surg. 2011 Mar;212(3):287-94. doi: 10.1016/j.jamcollsurg.2010.12.011.
Similarity between the ICU patient data acquired by the APACHE system and the patient outcomes data acquired by the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) suggests that variables in NSQIP data could be effective mortality predictors. We theorized that identifying ACS-NSQIP preoperative data points predictive of patient outcomes would assist in identifying potential complications earlier.
Between 2006 and 2008 at the University of Maryland Medical Center, we identified 340 surgical ICU patients included in both databases as our study cohort. Median APACHE score calculation permitted division of study subjects into quartiles from which to examine length of stay, mortality variables, and ACS-NSQIP-recorded postoperative occurrences and preoperative risk factors. Outcomes were compared using each database's percentage of patients who had died.
Mortality was positively correlated with APACHE score increases. Initially, the average ICU length of stay increased, then declined. Most common postoperative occurrences were ventilator dependence >48 hours, pneumonia, unplanned intubation, sepsis, and septic shock. It was also noted that preoperative variables, such as American Society of Anesthesiologists classification and serum albumin levels, had an association with a poorer prognosis.
APACHE score predictions are consistent with ACS-NSQIP-recorded postoperative outcomes. Higher APACHE scores correlated with increased incidence of postoperative outcomes and were associated with earlier mortality in the most extremely ill. Poorer states of health before surgery also correlated with poor outcomes postoperatively.
APACHE 系统获取的 ICU 患者数据与美国外科医师学会全国手术质量改进计划(ACS-NSQIP)获取的患者结局数据之间存在相似性,这表明 NSQIP 数据中的变量可能是有效的死亡率预测指标。我们推测,确定与患者结局相关的 ACS-NSQIP 术前数据点将有助于更早地识别潜在并发症。
在 2006 年至 2008 年期间,我们在马里兰大学医学中心确定了同时包含在这两个数据库中的 340 名外科 ICU 患者作为我们的研究队列。中位数 APACHE 评分计算允许将研究对象分为四分位数,以检查住院时间、死亡率变量以及 ACS-NSQIP 记录的术后事件和术前危险因素。使用每个数据库中死亡患者的百分比来比较结果。
死亡率与 APACHE 评分的增加呈正相关。最初,ICU 平均住院时间增加,然后下降。最常见的术后事件是呼吸机依赖>48 小时、肺炎、计划外插管、败血症和感染性休克。还注意到术前变量,如美国麻醉医师协会分类和血清白蛋白水平,与预后不良有关。
APACHE 评分预测与 ACS-NSQIP 记录的术后结局一致。更高的 APACHE 评分与术后结局发生率的增加相关,与最病重患者的更早死亡率相关。手术前更差的健康状况也与术后不良结局相关。