Department of Anesthesia and Critical Care, 2462University of Chicago, Chicago, IL, USA.
Department of Anesthesiology, University of Kansas, Kansas City, KS, USA.
J Intensive Care Med. 2021 Jul;36(7):798-807. doi: 10.1177/0885066620928272. Epub 2020 Jun 3.
To identify risk factors for pediatric postoperative respiratory failure and develop a predictive model.
This retrospective case-control study utilized the US National Inpatient Sample (NIS) from 2012 to 2014. Significant predictors were selected, and the predicted probability of pediatric postoperative respiratory failure was calculated. Sensitivity, specificity, and accuracy were then calculated, and receiver-operator curves were drawn.
National Inpatient Sample data sets from years 2012, 2013, and 2014 were used.
Patients aged 17 and younger in the 2012, 2013, and 2014 NIS data sets.
Candidate predictors included demographic variables, type of surgical procedure, a modified pediatric comorbidity score, presence of substance abuse diagnosis, and presence/absence of kyphoscoliosis.
The primary outcome measure was the pediatric quality indicator (PDI 09), which is defined by the Agency for Healthcare Research Quality, and identifies pediatric patients with postoperative respiratory failure.
The incidence of pediatric postoperative respiratory failure in each year's data set varied from 1.31% in 2012 to 1.41% in 2014. Significant risk factors for the development of postoperative respiratory failure included abdominal surgery ([OR] = 1.92 in 2012 data set, 1.79 in 2013 data set), spine surgery (OR = 7.10 in 2012 data set, 6.41 in 2013 data set), and an elevated pediatric comorbidity score (score of 3 or greater: OR = 32.58 in 2012 data set, 22.74 in 2013 data set). A predictive model utilizing these risk factors achieved a statistic of 0.82.
Risk factors associated with postoperative respiratory failure in pediatric patients undergoing noncardiac surgery include type of surgery (abdominal and spine) and higher pediatric comorbidity scores. A prediction model based on the identified factors had good predictive ability.
确定小儿术后呼吸衰竭的危险因素,并建立预测模型。
本回顾性病例对照研究使用了 2012 年至 2014 年美国国家住院患者样本(NIS)。选择显著预测因子,并计算小儿术后呼吸衰竭的预测概率。然后计算敏感性、特异性和准确性,并绘制接收者操作特征曲线。
使用 2012 年、2013 年和 2014 年的国家住院患者样本数据集。
NIS 数据集 2012 年、2013 年和 2014 年年龄为 17 岁及以下的患者。
候选预测因子包括人口统计学变量、手术类型、改良小儿合并症评分、物质滥用诊断的存在以及脊柱侧凸的存在/不存在。
主要结局指标是由医疗保健研究与质量局定义的小儿质量指标(PDI 09),该指标识别术后发生呼吸衰竭的小儿患者。
每年数据集小儿术后呼吸衰竭的发生率从 2012 年的 1.31%到 2014 年的 1.41%不等。术后呼吸衰竭发生的显著危险因素包括腹部手术([比值比]2012 年数据集为 1.92,2013 年数据集为 1.79)、脊柱手术([比值比]2012 年数据集为 7.10,2013 年数据集为 6.41)和较高的小儿合并症评分(评分 3 或更高:[比值比]2012 年数据集为 32.58,2013 年数据集为 22.74)。利用这些危险因素的预测模型获得了 0.82 的 值。
与小儿非心脏手术后呼吸衰竭相关的危险因素包括手术类型(腹部和脊柱)和较高的小儿合并症评分。基于确定的因素的预测模型具有良好的预测能力。