国家早期预警评分 2 版 (NEWS2) 在预测时间紧迫的治疗需求方面的准确性:回顾性观察队列研究

Steve Goodacre, Laura Sutton, Gordon Fuller, Ashleigh Trimble, Richard Pilbery
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Two independent clinical experts then determined whether time-critical treatment was or should have been received, using an expert consensus derived list of interventions. We used receiver operating characteristic (ROC) analysis and calculated sensitivity and specified at pre-defined thresholds to evaluate the accuracy of NEWS2 for predicting need for time-critical intervention. Results\nAfter excluding ten patients who received their intervention before NEWS2 recording, 164/3990 (4.1%) needed time-critical treatment and 71/3990 (1.8%) died within seven days. NEWS2 predicted need for time-critical treatment with a c-statistic of 0.807 (95% confidence interval 0.765 to 0.849) and death within seven days with a c-statistic of 0.865 (0.813, 0.917). NEWS2>4 predicted need for time-critical treatment with sensitivity of 0.518 (0.442, 0.593) and positive predictive value of 0.258 (0.213, 0.307). 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引用次数: 0

摘要

背景急诊科(ED)的初步评估可使用早期预警评分来识别需要时间紧迫的治疗的患者并确定其优先次序。我们的目的是确定国家早期预警评分 2 版 (NEWS2) 预测需要时间紧迫的治疗的准确性。方法我们进行了一项单中心回顾性观察队列研究。我们随机选取了 4000 名 2022 年在一家三级医院急诊室就诊的成年人,他们的电子病历中都有 NEWS2 的常规记录。我们从电子病历中提取了首次 NEWS2 评分和生命体征。研究护士挑选出接受了可能时间紧迫的治疗的病例。然后,由两名独立的临床专家根据专家共识得出的干预措施清单,确定是否接受或是否应该接受时间紧迫的治疗。我们使用接收器操作特征 (ROC) 分析,并计算了灵敏度和预设阈值,以评估 NEWS2 预测时间紧迫干预需求的准确性。结果在排除 10 名在 NEWS2 记录前接受干预的患者后,164/3990(4.1%)名患者需要时间紧迫的治疗,71/3990(1.8%)名患者在七天内死亡。NEWS2 预测需要时间紧迫的治疗的 c 统计量为 0.807(95% 置信区间为 0.765 至 0.849),预测七天内死亡的 c 统计量为 0.865(0.813,0.917)。NEWS2>4预测需要时间紧迫的治疗,灵敏度为0.518(0.442,0.593),阳性预测值为0.258(0.213,0.307)。需要进行急诊手术、开放性骨折抗生素治疗、胰岛素输注或处理危及肢体损伤的患者,其 NEWS2 经常≤4。NEWS2>4患者不需要时间紧迫的治疗,但他们的呼吸频率、意识水平或接受补充氧气的情况经常在NEWS2上得到3分。结论NEWS2 在预测是否需要时间紧迫的治疗方面准确性有限。我们发现了一些时间紧迫的干预措施,这些措施的 NEWS2 分数和 NEWS2 参数往往较低,可能会高估对时间紧迫干预措施的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy of the National Early Warning Score version 2 (NEWS2) in predicting need for time-critical treatment: Retrospective observational cohort study
Background Initial emergency department (ED) assessment can use early warning scores to identify and prioritise patients who need time-critical treatment. We aimed to determine the accuracy of the National Early Warning Score version 2 (NEWS2) for predicting the need for time-critical treatment. Methods We undertook a single centre retrospective observational cohort study. We randomly selected 4000 adults who attended a tertiary hospital ED in 2022 and had NEWS2 routinely recorded on electronic patient records. The first NEWS2 score and vital signs were extracted from electronic records. Research nurses selected cases that received a potentially time-critical treatment. Two independent clinical experts then determined whether time-critical treatment was or should have been received, using an expert consensus derived list of interventions. We used receiver operating characteristic (ROC) analysis and calculated sensitivity and specified at pre-defined thresholds to evaluate the accuracy of NEWS2 for predicting need for time-critical intervention. Results After excluding ten patients who received their intervention before NEWS2 recording, 164/3990 (4.1%) needed time-critical treatment and 71/3990 (1.8%) died within seven days. NEWS2 predicted need for time-critical treatment with a c-statistic of 0.807 (95% confidence interval 0.765 to 0.849) and death within seven days with a c-statistic of 0.865 (0.813, 0.917). NEWS2>4 predicted need for time-critical treatment with sensitivity of 0.518 (0.442, 0.593) and positive predictive value of 0.258 (0.213, 0.307). Patients needing emergency surgery, antibiotics for open fractures, insulin infusion, or manipulation of limb-threatening injuries frequently had NEWS2≤4. Patients with NEWS2>4 who did not need time-critical treatment frequently scored three points on NEWS2 for their respiratory rate, conscious level, or receiving supplemental oxygen. Conclusion NEWS2 has limited accuracy for predicting need for time-critical treatment. We have identified time-critical interventions that frequently have low NEWS2 scores and NEWS2 parameters than may overestimate need for time-critical intervention.
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