Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany.
Science Communication Unit, Robert Koch Institute, Berlin, Germany.
PLoS One. 2020 Nov 5;15(11):e0239902. doi: 10.1371/journal.pone.0239902. eCollection 2020.
Generalized weakness and fatigue are underexplored symptoms in emergency medicine. Triage tools often underestimate patients presenting to the emergency department (ED) with these nonspecific symptoms (Nemec et al., 2010). At the same time, physicians' disease severity rating (DSR) on a scale from 0 (not sick at all) to 10 (extremely sick) predicts key outcomes in ED patients (Beglinger et al., 2015; Rohacek et al., 2015). Our goals were (1) to characterize ED patients with weakness and/or fatigue (W|F); to explore (2) to what extent physicians' DSR at triage can predict five key outcomes in ED patients with W|F; (3) how well DSR performs relative to two commonly used benchmark methods, the Emergency Severity Index (ESI) and the Charlson Comorbidity Index (CCI); (4) to what extent DSR provides predictive information beyond ESI, CCI, or their linear combination, i.e., whether ESI and CCI should be used alone or in combination with DSR; and (5) to what extent ESI, CCI, or their linear combination provide predictive information beyond DSR alone, i.e., whether DSR should be used alone or in combination with ESI and / or CCI.
Prospective observational study between 2013-2015 (analysis in 2018-2020, study team blinded to hypothesis) conducted at a single center. We study an all-comer cohort of 3,960 patients (48% female patients, median age = 51 years, 94% completed 1-year follow-up). We looked at two primary outcomes (acute morbidity (Bingisser et al., 2017; Weigel et al., 2017) and all-cause 1- year mortality) and three secondary outcomes (in-hospital mortality, hospitalization and transfer to ICU). We assessed the predictive power (i.e., resolution, measured as the Area under the ROC Curve, AUC) of the scores and, using logistic regression, their linear combinations.
Compared to patients without W|F (n = 3,227), patients with W|F (n = 733) showed higher prevalences for all five outcomes, reported more symptoms across both genders, and received higher DSRs (median = 4; interquartile range (IQR) = 3-6 vs. median = 3; IQR = 2-5). DSR predicted all five outcomes well above chance (i.e., AUCs > ~0.70), similarly well for both patients with and without W|F, and as good as or better than ESI and CCI in patients with and without W|F (except for 1-year mortality where CCI performs better). For acute morbidity, hospitalization, and transfer to ICU there is clear evidence that adding DSR to ESI and/or CCI improves predictions for both patient groups; for 1-year mortality and in-hospital mortality this holds for most, but not all comparisons. Adding ESI and/or CCI to DSR generally did not improve performance or even decreased it.
The use of physicians' disease severity rating has never been investigated in patients with generalized weakness and fatigue. We show that physicians' prediction of acute morbidity, mortality, hospitalization, and transfer to ICU through their DSR is also accurate in these patients. Across all patients, DSR is less predictive of acute morbidity for female than male patients, however. Future research should investigate how emergency physicians judge their patients' clinical state at triage and how this can be improved and used in simple decision aids.
全身无力和疲劳是急诊医学中尚未得到充分探索的症状。分诊工具通常低估了因这些非特异性症状就诊于急诊科的患者(Nemec 等人,2010)。与此同时,医生对疾病严重程度的评分(0 表示完全不生病,10 表示病得非常严重)可以预测急诊科患者的关键结局(Beglinger 等人,2015;Rohacek 等人,2015)。我们的目标是:(1)描述因乏力和/或疲劳就诊的急诊科患者;(2)探索医生在分诊时的 DSR 能在多大程度上预测因乏力和/或疲劳就诊的急诊科患者的五个关键结局;(3)DSR 的表现与两种常用的基准方法(紧急严重程度指数 ESI 和 Charlson 合并症指数 CCI)相比如何;(4)DSR 在多大程度上提供了 ESI、CCI 或它们的线性组合之外的预测信息,即 ESI 和 CCI 是应该单独使用还是与 DSR 一起使用;(5)ESI、CCI 或它们的线性组合在多大程度上提供了 DSR 单独使用之外的预测信息,即 DSR 是应该单独使用还是与 ESI 和/或 CCI 一起使用。
这是一项前瞻性观察性研究,于 2013-2015 年进行(2018-2020 年进行分析,研究团队对假设不了解),在一家单一中心开展。我们研究了一个所有患者的队列(女性患者占 48%,中位年龄为 51 岁,94%完成了 1 年随访)。我们观察了两个主要结局(急性发病(Bingisser 等人,2017;Weigel 等人,2017)和所有原因 1 年死亡率)和三个次要结局(院内死亡率、住院和转入 ICU)。我们评估了评分的预测能力(即分辨率,用 ROC 曲线下面积 AUC 衡量),并用逻辑回归分析了它们的线性组合。
与没有 W|F 的患者(n = 3227)相比,有 W|F 的患者(n = 733)的所有五个结局的发生率较高,男女患者均报告了更多的症状,并且 DSR 较高(中位数=4;四分位距(IQR)=3-6 与中位数=3;IQR=2-5)。DSR 在很大程度上准确地预测了所有五个结局(即 AUC 大于约 0.70),对有和没有 W|F 的患者同样有效,与 ESI 和 CCI 一样好或更好(除了 1 年死亡率,CCI 表现更好)。对于急性发病、住院和转入 ICU,有明确的证据表明,在 ESI 和/或 CCI 中添加 DSR 可以改善这两组患者的预测;对于 1 年死亡率和院内死亡率,大多数情况下如此,但并非所有比较都如此。在 DSR 中添加 ESI 和/或 CCI 通常不会提高性能,甚至会降低性能。
医生对疾病严重程度的评估在全身乏力和疲劳的患者中从未被研究过。我们表明,医生通过 DSR 预测这些患者的急性发病、死亡率、住院和转入 ICU 的准确性也很高。在所有患者中,DSR 对女性患者的急性发病预测不如男性患者准确,然而。未来的研究应调查急诊医生如何判断其患者在分诊时的临床状态,以及如何改进并在简单的决策辅助工具中使用。