Masi Antonio, Amodeo Salvatore, Hatzaras Ioannis, Pinna Antonio, Rosman Alan S, Cohen Steven, Saunders John K, Berman Russell, Newman Elliot, Ballantyne Garth H, Pachter Leon H, Melis Marcovalerio
Department of Surgery, New York Harbor Healthcare System, 423 East 23rd Street, New York, NY 10010, USA; Department of Surgery, NYU School of Medicine, New York, 550 1st Avenue, New York, NY 10016, USA.
Department of Surgery, NYU School of Medicine, New York, 550 1st Avenue, New York, NY 10016, USA.
Am J Surg. 2017 Apr;213(4):696-705. doi: 10.1016/j.amjsurg.2016.05.017. Epub 2016 Jul 21.
We investigated whether the surgical Apgar score (SAS) may enhance the Veterans Affairs Surgical Quality Improvement Program (VASQIP) risk assessment for prediction of early postoperative outcomes.
We retrospectively evaluated demographics, medical history, procedure, SAS, VASQIP assessment, and postoperative data for patients undergoing major/extensive intra-abdominal surgery at the Manhattan Veterans Affairs between October 2006 and September 2011. End points were overall morbidity and 30-, 60- , and 90-day mortality. Pearson's chi-square, ANOVA, and multivariate regression modeling were employed.
Six hundred twenty-nine patients were included. Apgar groups did not differ in age, sex, and race. Low SASs were associated with worse functional status, increased postoperative morbidity, and 30-, 60- , and 90-day mortality rates. SAS did not significantly enhance VASQIP prediction of postoperative outcomes, although a trend was detected. Multivariate analysis confirmed SAS as an independent predictor of morbidity and mortality.
SAS effectively identifies veterans at high risk for poor postoperative outcome. Additional studies are necessary to evaluate the role of SAS in enhancing VASQIP risk prediction.
我们研究了手术阿普加评分(SAS)是否能增强退伍军人事务部手术质量改进计划(VASQIP)对术后早期结果预测的风险评估。
我们回顾性评估了2006年10月至2011年9月在曼哈顿退伍军人事务部接受大型/广泛腹部内手术患者的人口统计学、病史、手术、SAS、VASQIP评估和术后数据。终点为总体发病率以及30天、60天和90天死亡率。采用了Pearson卡方检验、方差分析和多变量回归建模。
纳入629例患者。阿普加评分组在年龄、性别和种族方面无差异。低SAS与较差的功能状态、术后发病率增加以及30天、60天和90天死亡率相关。尽管检测到一种趋势,但SAS并未显著增强VASQIP对术后结果的预测。多变量分析证实SAS是发病率和死亡率的独立预测因素。
SAS能有效识别术后结果不佳的高风险退伍军人。有必要进行更多研究以评估SAS在增强VASQIP风险预测中的作用。