University of Lausanne.
Emergency Service.
Eur J Emerg Med. 2019 Oct;26(5):366-372. doi: 10.1097/MEJ.0000000000000578.
The National Advisory Committee for Aeronautics (NACA) score is used by many emergency medical services to assess the severity of prehospital patients. Little is known about its discriminative performance regarding short-term mortality.
We retrospectively included adult missions between 2008 and 2014 in a Swiss ground and air-based emergency medical services. We excluded uninjured or dead-on-scene patients. Primary outcome was assessment of the discriminative performance of the NACA score to classify the 48-h vital status of patients. Overall discrimination was quantified using the area under receiver operating characteristic curve (AUC). We also explored the influence of epidemiological characteristics (age and sex), mechanism (trauma or nontrauma) and clinical parameters (respiratory rate, oxygen saturation, heart rate, systolic blood pressure, capillary refill time, and Glasgow Coma Scale) on its discriminative performance. We then assessed the incremental value of these variables in the classification accuracy of a rule based on these variables in addition to the NACA score.
We included 11 567 patients out of 11 639 (72 exclusions for missing data). Overall AUC was 0.86. The score was more discriminant for trauma (AUC = 0.95 vs. 0.83), and for younger patients (AUC = 0.91 for 16-59 vs. 0.78 for 84-104 years). Adding age, sex, mechanism, and clinical parameters resulted in a classification rule with higher discriminative performance than NACA score alone (AUC of 0.92 vs. 0.86; P < 0.001).
The NACA score is an efficient way to discriminate victims regarding short-term mortality. Its performance can be enhanced by also integrating epidemiological and clinical parameters into an extended classification rule.
美国国家航空咨询委员会(NACA)评分被许多急救医疗服务机构用于评估院前患者的严重程度。关于其对短期死亡率的判别性能,知之甚少。
我们回顾性地纳入了 2008 年至 2014 年期间瑞士地面和空中急救医疗服务的成年任务。我们排除了未受伤或现场死亡的患者。主要结局是评估 NACA 评分对患者 48 小时生命状态的判别性能。使用受试者工作特征曲线下面积(AUC)来量化整体判别能力。我们还探讨了流行病学特征(年龄和性别)、机制(创伤或非创伤)和临床参数(呼吸频率、氧饱和度、心率、收缩压、毛细血管再充盈时间和格拉斯哥昏迷量表)对其判别性能的影响。然后,我们评估了这些变量在基于这些变量以及 NACA 评分的规则分类准确性中的增量价值。
我们从 11 639 名患者中纳入了 11 567 名患者(72 名因数据缺失而排除)。总体 AUC 为 0.86。对于创伤患者,评分的判别能力更强(AUC = 0.95 与 0.83),对于年轻患者(AUC = 16-59 岁为 0.91,84-104 岁为 0.78)。添加年龄、性别、机制和临床参数后,分类规则的判别性能高于 NACA 评分(AUC 为 0.92 与 0.86;P < 0.001)。
NACA 评分是区分短期死亡率患者的有效方法。通过将流行病学和临床参数整合到扩展的分类规则中,可以提高其性能。