From the Department of Anesthesiology, Section of Pediatric Anesthesiology, University of Michigan, Ann Arbor, Michigan.
Anesth Analg. 2019 Jun;128(6):1225-1233. doi: 10.1213/ANE.0000000000003701.
Many children recovering from anesthesia experience pain that is severe enough to warrant intravenous (IV) opioid treatment within moments of admission to the postanesthesia care unit (PACU). Postoperative pain has several negative consequences; therefore, preventing significant PACU pain in children is both a major clinical goal and a moral/ethical imperative. This requires identifying patient-level and perioperative factors that may be used to predict PACU IV opioid requirement. This should allow for the development of personalized care protocols to prevent clinically significant PACU pain in children. Our objective was to develop prediction models enabling practitioners to identify children at risk for PACU IV opioid requirement after various painful ambulatory surgical procedures.
After Institutional Review Board approval, clinical, demographic, and anthropometric data were prospectively collected on 1256 children 4-17 years of age scheduled for painful ambulatory surgery (defined as intraoperative administration of analgesia or local anesthetic infiltration). Three multivariable logistic regression models to determine possible predictors of PACU IV opioid requirement were constructed based on (1) preoperative history; (2) history + intraoperative variables; and (3) history + intraoperative variables + PACU variables. Candidate predictors were chosen from readily obtainable parameters routinely collected during the surgical visit. Predictive performance of each model was assessed by calculating the area under the respective receiver operating characteristic curves.
Overall, 29.5% of patients required a PACU IV opioid, while total PACU analgesia requirement (oral or IV) was 41.1%. Independent predictors using history alone were female sex, decreasing age, surgical history, and non-Caucasian ethnicity (model area under the receiver operating characteristic curve [AUROC], 0.59 [95% confidence interval {CI}, 0.55-0.63]). Adding a few intraoperative variables improved the discriminant ability of the model (AUROC for the history + intraoperative variables model, 0.71 [95% CI, 0.67-0.74]). Addition of first-documented PACU pain score produced a substantially improved model (AUROC, 0.85 [95% CI, 0.82-0.87]).
Postoperative pain requiring PACU IV opioid in children may be determined using a small set of easily obtainable perioperative variables. Our models require validation in other settings to determine their clinical usefulness.
许多在麻醉中恢复的儿童在进入麻醉后护理单元 (PACU) 后不久就会经历严重到需要静脉注射 (IV) 阿片类药物治疗的疼痛。术后疼痛有几个负面影响;因此,预防儿童 PACU 中明显的疼痛既是一个主要的临床目标,也是一个道德/伦理要求。这需要确定患者水平和围手术期因素,这些因素可能用于预测 PACU IV 阿片类药物的需求。这应该允许制定个性化的护理方案,以预防儿童 PACU 中明显的疼痛。我们的目标是开发预测模型,使从业者能够识别出各种疼痛门诊手术后需要 PACU IV 阿片类药物的儿童。
在机构审查委员会批准后,前瞻性地收集了 1256 名 4-17 岁儿童的临床、人口统计学和人体测量数据,这些儿童计划接受疼痛门诊手术(定义为术中给予镇痛或局部麻醉浸润)。基于(1)术前病史;(2)病史+术中变量;和(3)病史+术中变量+PACU 变量,构建了三个多变量逻辑回归模型来确定 PACU IV 阿片类药物需求的可能预测因素。候选预测因素是从手术就诊期间常规收集的易于获得的参数中选择的。通过计算各自接收者操作特征曲线的面积来评估每个模型的预测性能。
总体而言,29.5%的患者需要 PACU IV 阿片类药物,而 PACU 总镇痛需求(口服或 IV)为 41.1%。仅使用病史的独立预测因素是女性、年龄减小、手术史和非白种人种族(受试者工作特征曲线下面积 [AUROC],0.59 [95%置信区间 {CI},0.55-0.63])。添加一些术中变量可提高模型的判别能力(病史+术中变量模型的 AUROC 为 0.71 [95%CI,0.67-0.74])。添加首次记录的 PACU 疼痛评分可产生大大改进的模型(AUROC,0.85 [95%CI,0.82-0.87])。
可以使用一小部分易于获得的围手术期变量来确定儿童需要 PACU IV 阿片类药物的术后疼痛。我们的模型需要在其他环境中进行验证,以确定其临床实用性。