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使用COLDS评分预测接受全身麻醉下择期手术儿童的围手术期呼吸不良事件:一项前瞻性观察研究。

Predicting Perioperative Respiratory Adverse Events in Children Undergoing Elective Surgeries Under General Anesthesia Using COLDS Score: A Prospective Observational Study.

作者信息

Hegazy Essam Mohamed H, Almusalhi Houda, Panchawagh Suhrud, Nair Abhijit

机构信息

Anesthesia and Critical Care, Ibra Hospital, Ibra, OMN.

Anesthesiology, Ibra Hospital, Ibra, OMN.

出版信息

Cureus. 2025 May 26;17(5):e84859. doi: 10.7759/cureus.84859. eCollection 2025 May.

Abstract

Background and aims Pediatric patients undergoing surgeries under general anesthesia (GA) who have a recent upper respiratory tract infection (URTI) pose a unique challenge for the anesthesiologists. We aimed to utilize the COLDS score as a pre-anesthetic risk assessment tool to predict the likelihood of perioperative respiratory adverse events (PRAEs) in children with URTI. Methods and materials After ethical approval, we prospectively collected data over six months from children undergoing various ear, nose, and throat (ENT) surgeries under GA. Children above one year undergoing elective ENT surgeries were included. Children less than one year, non-ENT surgical pediatric patients, and those undergoing emergency surgeries were excluded. Results A total of 270 patients were included in the analysis, among whom 25 (9.3%) experienced postoperative events. The COLDS score was able to effectively distinguish between patients who did and did not experience postoperative complications. The receiver operating characteristic (ROC) curve (AUC) of 0.92 (95% CI: 0.86-0.99) suggests a strong discriminatory ability of the score. The specificity of the model was high at 97.96% (95% CI: 95.9-99.6), suggesting a strong ability to correctly identify patients without events. The sensitivity was lower at 40.0% (95% CI: 20.7-60.0), i.e., only 40% of patients who experienced complications were detected by the score. Conclusions COLDS score can help in distinguishing patients who will and will not have PRAEs. But as the sensitivity is moderate, we recommend using the COLDS score along with a detailed clinical assessment based on the type of surgery planned.

摘要

背景与目的 近期患有上呼吸道感染(URTI)且接受全身麻醉(GA)手术的儿科患者给麻醉医生带来了独特的挑战。我们旨在利用COLDS评分作为麻醉前风险评估工具,以预测URTI患儿围手术期呼吸不良事件(PRAEs)的可能性。方法与材料 经伦理批准后,我们前瞻性地收集了六个月内接受GA下各种耳鼻喉(ENT)手术患儿的数据。纳入一岁以上接受择期ENT手术的患儿。排除一岁以下患儿、非ENT外科儿科患者以及接受急诊手术的患者。结果 共有270例患者纳入分析,其中25例(9.3%)发生术后事件。COLDS评分能够有效区分发生和未发生术后并发症的患者。受试者操作特征(ROC)曲线下面积(AUC)为0.92(95%CI:0.86 - 0.99),表明该评分具有较强的区分能力。模型的特异性较高,为97.96%(95%CI:95.9 - 99.6),表明有很强的正确识别无事件患者的能力。敏感性较低,为40.0%(95%CI:20.7 - 60.0),即该评分仅能检测出40%发生并发症的患者。结论 COLDS评分有助于区分会发生和不会发生PRAEs的患者。但由于敏感性中等,我们建议结合COLDS评分以及根据计划手术类型进行的详细临床评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9ef/12198429/77cf06b34314/cureus-0017-00000084859-i01.jpg

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