The score for prediction of postoperative respiratory complications in infants and children (SPORC-C) was recently reported. The score was developed using a large cohort of patients by applying a multivariate model, then internally and externally validated on a different cohort of patients. In order to encourage use of this score, an online calculator (https://sites.google.com/view/sporc-for-children/home) was also developed, allowing identification of patients at low and high risk for postoperative respiratory complications. We review current evidence on algorithms developed to predict postoperative respiratory complications, including how and when such scoring systems should be used in daily practice to improve the overall safety of paediatric patients.

中文翻译：

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儿童术后呼吸并发症：从预测到临床行动。


最近报道了婴儿和儿童术后呼吸并发症预测评分 （SPORC-C）。该评分是通过应用多变量模型使用大量患者开发的，然后在不同的患者队列上进行内部和外部验证。为了鼓励使用该评分，还开发了在线计算器 （https://sites.google.com/view/sporc-for-children/home），可以识别术后呼吸并发症的低风险和高风险患者。我们回顾了当前关于预测术后呼吸并发症的算法的证据，包括在日常实践中应如何以及何时使用此类评分系统来提高儿科患者的整体安全性。