{"title":"Postoperative respiratory complications in children: from prediction to clinical action.","authors":"Nicola Disma, Walid Habre","doi":"10.1016/j.bja.2024.10.001","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":9250,"journal":{"name":"British journal of anaesthesia","volume":null,"pages":null},"PeriodicalIF":9.1000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"British journal of anaesthesia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.bja.2024.10.001","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ANESTHESIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍：
The British Journal of Anaesthesia (BJA) is a prestigious publication that covers a wide range of topics in anaesthesia, critical care medicine, pain medicine, and perioperative medicine. It aims to disseminate high-impact original research, spanning fundamental, translational, and clinical sciences, as well as clinical practice, technology, education, and training. Additionally, the journal features review articles, notable case reports, correspondence, and special articles that appeal to a broader audience.
The BJA is proudly associated with The Royal College of Anaesthetists, The College of Anaesthesiologists of Ireland, and The Hong Kong College of Anaesthesiologists. This partnership provides members of these esteemed institutions with access to not only the BJA but also its sister publication, BJA Education. It is essential to note that both journals maintain their editorial independence.
Overall, the BJA offers a diverse and comprehensive platform for anaesthetists, critical care physicians, pain specialists, and perioperative medicine practitioners to contribute and stay updated with the latest advancements in their respective fields.
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