da Silva H B G, Sousa A M, Guimarães G M N, Slullitel A, Ashmawi H A
Department of Anaesthesia, Cancer Institute of the State of Sao Paulo, Pain Service, São Paulo, Brazil.
Acta Anaesthesiol Scand. 2015 Oct;59(9):1145-53. doi: 10.1111/aas.12552. Epub 2015 Jun 4.
Postoperative nausea and vomiting (PONV) remains a problem in the postoperative period. Previous PONV in oncology patients has recently been associated with chemotherapy-induced nausea and vomiting (CINV). We assessed if CINV could improve Apfel's heuristic for predicting PONV.
We conducted a retrospective study of 1500 consecutive patients undergoing intermediate or major cancer surgery between April and July 2011. PONV was assessed in the first postoperative day during post-anaesthesia care. The assigned anaesthetist completed an electronic medical record with all of the studied variables. Multiple logistic regression analyses were performed to assess whether any of the variables could add predictive ability to Apfel's tallying heuristic, and receiver operating characteristic (ROC) curves were modelled. The areas under the curve (AUC) were used to compare the model's discriminating ability for predicting patients who vomited from those who did not vomit.
The overall incidence of PONV was 26%. Multiple logistic regressions identified two independent predictors for PONV (odds ratio; 95% CI), Apfel's score (1.78; 1.23-2.63) and previous chemotherapy-induced vomiting (3.15; 1.71-5.9), Hosmer-Lemeshow's P < 0.0001. Previous CINV was the most significant predictor to be added to Apfel's heuristic in this population.
A history of chemotherapy-induced nausea vomiting was a strong predictor for PONV and should be investigated as an added risk factor for PONV in the preoperative period of oncology surgery in prospective studies.
术后恶心呕吐(PONV)仍是术后的一个问题。肿瘤患者先前的PONV最近与化疗引起的恶心呕吐(CINV)相关。我们评估了CINV是否能改进Apfel预测PONV的经验法则。
我们对2011年4月至7月期间连续接受中级或大型癌症手术的1500例患者进行了一项回顾性研究。在术后第一天麻醉后护理期间评估PONV。指定的麻醉师完成了一份包含所有研究变量的电子病历。进行了多项逻辑回归分析,以评估是否有任何变量可以增加Apfel计数经验法则的预测能力,并对受试者工作特征(ROC)曲线进行建模。曲线下面积(AUC)用于比较该模型区分呕吐患者和未呕吐患者的能力。
PONV的总体发生率为26%。多项逻辑回归确定了PONV的两个独立预测因素(比值比;95%可信区间),Apfel评分(1.78;1.23 - 2.63)和先前化疗引起的呕吐(3.15;1.71 - 5.9),Hosmer-Lemeshow检验P < 0.0001。在该人群中,先前的CINV是添加到Apfel经验法则中最显著的预测因素。
化疗引起的恶心呕吐史是PONV的一个强有力的预测因素,在前瞻性研究中,应将其作为肿瘤手术术前PONV的一个额外风险因素进行研究。