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医生判断和循环生物标志物可预测急诊科患者 28 天死亡率。

Physician Judgment and Circulating Biomarkers Predict 28-Day Mortality in Emergency Department Patients.

机构信息

Department of Emergency Medicine, University of Washington, Seattle, WA.

Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA.

出版信息

Crit Care Med. 2019 Nov;47(11):1513-1521. doi: 10.1097/CCM.0000000000003899.

Abstract

OBJECTIVES

To determine whether biomarkers of endothelial activation and inflammation provide added value for prediction of in-hospital mortality within 28 days when combined with physician judgment in critically ill emergency department patients.

DESIGN

Prospective, observational study.

SETTING

Two urban, academic emergency departments, with ≈80,000 combined annual visits, between June 2016 and December 2017.

PATIENTS

Admitted patients, greater than 17 years old, with two systemic inflammatory response syndrome criteria and organ dysfunction, systolic blood pressure less than 90 mm Hg, or lactate greater than 4.0 mmol/L. Patients with trauma, intracranial hemorrhage known prior to arrival, or without available blood samples were excluded.

INTERVENTIONS

Emergency department physicians reported likelihood of in-hospital mortality (0-100%) by survey at hospital admission. Remnant EDTA blood samples, drawn during the emergency department stay, were used to measure angiopoietin-1, angiopoietin-2, tumor necrosis factor receptor-1, interleukin-6, and interleukin-8.

MEASUREMENTS AND MAIN RESULTS

We screened 421 patients and enrolled 314. The primary outcome of in-hospital mortality within 28 days occurred in 31 (9.9%). When predicting the primary outcome, the best biomarker model included angiopoietin-2 and interleukin-6 and performed moderately well (area under the curve, 0.72; 95% CI, 0.69-0.75), as did physician judgment (area under the curve, 0.78; 95% CI, 0.74-0.82). Combining physician judgment and biomarker models improved performance (area under the curve, 0.85; 95% CI, 0.82-0.87), with area under the curve change of 0.06 (95% CI, 0.04-0.09; p < 0.01) compared with physician judgment alone.

CONCLUSIONS

Predicting in-hospital mortality within 28 days among critically ill emergency department patients may be improved by including biomarkers of endothelial activation and inflammation in combination with emergency department physician judgment.

摘要

目的

确定在合并危重病急诊患者医生判断的情况下,内皮细胞激活和炎症的生物标志物是否可以为 28 天内院内死亡率的预测提供额外价值。

设计

前瞻性观察性研究。

地点

2016 年 6 月至 2017 年 12 月期间,两个城市的学术急诊部门,每年就诊量约为 80000 例。

患者

符合以下条件的入院患者,年龄大于 17 岁,有两个全身炎症反应综合征标准和器官功能障碍,收缩压小于 90mmHg,或乳酸大于 4.0mmol/L。排除创伤患者、入诊前已知颅内出血患者或无可用血液样本的患者。

干预措施

急诊医生在入院时通过调查报告院内死亡率(0-100%)的可能性。在急诊期间采集剩余 EDTA 血液样本,用于测量血管生成素-1、血管生成素-2、肿瘤坏死因子受体-1、白细胞介素-6 和白细胞介素-8。

测量和主要结果

我们筛选了 421 例患者,纳入了 314 例。28 天内院内死亡率的主要结局发生在 31 例(9.9%)中。在预测主要结局时,最佳生物标志物模型包括血管生成素-2 和白细胞介素-6,表现中等(曲线下面积为 0.72;95%置信区间,0.69-0.75),与医生判断(曲线下面积为 0.78;95%置信区间,0.74-0.82)一样。结合医生判断和生物标志物模型可改善表现(曲线下面积为 0.85;95%置信区间,0.82-0.87),与单独使用医生判断相比,曲线下面积变化为 0.06(95%置信区间,0.04-0.09;p < 0.01)。

结论

通过将内皮细胞激活和炎症的生物标志物与急诊医生的判断相结合,可能可以改善危重病急诊患者 28 天内院内死亡率的预测。

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