University Hospital Basel, Department of Emergency Medicine, Basel, Switzerland.
Liestal Cantonal Hospital, Department of Emergency Medicine, Liestal, Switzerland.
West J Emerg Med. 2019 Jul;20(4):633-640. doi: 10.5811/westjem.2019.4.40031. Epub 2019 Jul 2.
Older patients frequently present to the emergency department (ED) with nonspecific complaints (NSC), such as generalized weakness. They are at risk of adverse outcomes, and early risk stratification is crucial. Triage using Emergency Severity Index (ESI) is reliable and valid, but older patients are prone to undertriage, most often at decision point D. The aim of this study was to assess the predictive power of additional clinical parameters in NSC patients.
Baseline demographics, vital signs, and deterioration of activity of daily living (ADL) in patients with NSC were prospectively assessed at four EDs. Physicians scored the coherence of history and their first impression. For prediction of 30-day mortality, we combined vital signs at decision point D (heart rate, respiratory rate, oxygen saturation) as "ESI vital," and added "ADL deterioration," "incoherence of history," or "first impression," using logistic regression models.
We included 948 patients with a median age of 81 years, 62% of whom were female. The baseline parameters at decision point D (ESI vital) showed an area under the curve (AUC) of 0.64 for predicting 30-day mortality in NSC patients. AUCs increased to 0.67 by adding ADL deterioration to 0.66 by adding incoherence of history, and to 0.71 by adding first impression. Maximal AUC was 0.73, combining all parameters.
Adding the physicians' first impressions to vital signs at decision point D increases predictive power of 30-day mortality significantly. Therefore, a modified ESI could improve predictive power of triage in older patients presenting with NSCs.
老年患者常因非特异性症状(NSC),如全身乏力,到急诊科就诊。他们有发生不良预后的风险,早期风险分层至关重要。使用紧急严重程度指数(ESI)进行分诊是可靠和有效的,但老年患者容易分诊不足,最常见于决策点 D。本研究旨在评估额外临床参数在 NSC 患者中的预测能力。
在四个急诊科前瞻性评估了 NSC 患者的基线人口统计学、生命体征和日常生活活动(ADL)恶化情况。医生对病史的一致性和第一印象进行评分。为了预测 30 天死亡率,我们将决策点 D 的生命体征(心率、呼吸频率、血氧饱和度)组合为“ESI 生命”,并使用逻辑回归模型添加“ADL 恶化”、“病史不一致”或“第一印象”。
共纳入 948 例年龄中位数为 81 岁的患者,其中 62%为女性。决策点 D 的基线参数(ESI 生命)对 NSC 患者 30 天死亡率的预测 AUC 为 0.64。添加 ADL 恶化后 AUC 增加到 0.67,添加病史不一致后 AUC 增加到 0.66,添加第一印象后 AUC 增加到 0.71。最大 AUC 为 0.73,合并所有参数。
将医生的第一印象添加到决策点 D 的生命体征中可显著提高 30 天死亡率的预测能力。因此,改良的 ESI 可以提高老年患者因 NSC 就诊的分诊预测能力。