Kranke P, Eberhart L H, Gan T J, Roewer N, Tramèr M R
*University of Würzburg, Department of Anesthesiology, Würzburg, Germany.
Eur J Anaesthesiol. 2007 Oct;24(10):856-67. doi: 10.1017/S0265021507000713. Epub 2007 Jul 3.
A number of algorithms for the prevention of postoperative nausea and vomiting have been proposed. Their efficacy and efficiency remains unclear.
We assumed that four antiemetic interventions were similarly effective and achieved additive effects when combined. We applied published and hypothetical algorithms for the prevention of postoperative nausea and vomiting to patient populations with different baseline risks. As indicators of efficacy and efficiency we computed for each baseline risk and each algorithm the total number of patients receiving prophylaxis, the total number of administered interventions, the cumulative 24 h incidence of postoperative nausea and vomiting, and an Efficiency Index (i.e. the number of administered interventions divided by the achieved absolute risk reduction). This was done for cohorts of 100 patients.
Ten algorithms were tested in seven populations with different baseline risks. Algorithms were fixed (> or = 1 intervention given to all patients, independent of baseline risk) or risk-adapted (> or = 1 intervention administered depending on the presumed baseline risk). Risk-adapted algorithms were escalating (the greater the baseline risk, the more interventions are given) or dichotomous (a fixed number of interventions is given to high-risk patients only). With some algorithms, when applied to selected patient populations, the average postoperative nausea and vomiting incidence could be decreased below 15%; however, none produced consistent postoperative nausea and vomiting incidences below 20% across all populations. With all, the number of administered antiemetic interventions was the major factor for improved efficacy. Depending on the baseline risk, some algorithms offered potential towards improved efficiency.
Despite improved knowledge on risk factors and antiemetic strategies, none of the tested algorithms completely prevents postoperative nausea and vomiting and none is universally applicable. Anesthesiologists should try to identify the most useful antiemetic strategy for a specific setting. That strategy may be prophylactic or therapeutic or a combination of both, and it should consider institutional policies and individual baseline risks.
已提出多种预防术后恶心呕吐的算法。但其疗效和效率仍不明确。
我们假设四种止吐干预措施效果相似,联合使用时具有相加作用。我们将已发表的和假设的预防术后恶心呕吐的算法应用于具有不同基线风险的患者群体。作为疗效和效率的指标,我们针对每种基线风险和每种算法计算接受预防的患者总数、给予的干预措施总数、术后恶心呕吐的累积24小时发生率以及效率指数(即给予的干预措施数量除以实现的绝对风险降低值)。这是针对100例患者的队列进行的。
在七个具有不同基线风险的人群中测试了十种算法。算法分为固定算法(给所有患者≥1次干预,与基线风险无关)或风险适应性算法(根据假定的基线风险给予≥1次干预)。风险适应性算法分为递增算法(基线风险越高,给予的干预越多)或二分算法(仅对高危患者给予固定数量的干预)。使用某些算法时,应用于选定的患者群体时,术后恶心呕吐的平均发生率可降至15%以下;然而,没有一种算法在所有人群中都能使术后恶心呕吐的发生率持续低于20%。总体而言,给予的止吐干预措施数量是提高疗效的主要因素。根据基线风险,一些算法具有提高效率的潜力。
尽管对风险因素和止吐策略的认识有所提高,但所测试的算法均不能完全预防术后恶心呕吐,也没有一种算法普遍适用。麻醉医生应尝试为特定情况确定最有用的止吐策略。该策略可以是预防性的、治疗性的或两者结合,并且应考虑机构政策和个体基线风险。