首页> 外文期刊>Clinica chimica acta: International journal of clinical chemistry and applied molecular biology >Independent and incremental prognostic value of multimarker testing in acute dyspnea: Results from the ProBNP Investigation of Dyspnea in the Emergency Department (PRIDE) study.
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Independent and incremental prognostic value of multimarker testing in acute dyspnea: Results from the ProBNP Investigation of Dyspnea in the Emergency Department (PRIDE) study.

机译:多标记物检测在急性呼吸困难中的独立和递增的预后价值:急诊室(PRIDE)研究中呼吸困难的ProBNP调查结果。

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BACKGROUND: Acute dyspnea is common in the emergency department (ED) and is associated with mortality. Biomarkers may help stratify risk in this setting. METHODS: Among 577 dyspneic subjects we identified 5 candidate biomarkers with prognostic value: amino terminal B-type natriuretic peptide (NT-proBNP), C-reactive protein (CRP), the interleukin family member ST2, hemoglobin and blood urea nitrogen (BUN); these were assessed using both receiver operating characteristic curve and Cox proportional hazards analyses. Results were validated in a population of dyspneic patients from a distinct cohort. RESULTS: At 1 y follow up, 93 (16.1%) patients had died. Independent predictive ability was established in an age-adjusted Cox model containing all markers: NT-proBNP (HR=1.89); CRP (HR=1.95); ST2 (HR=7.17); hemoglobin (HR=1.68); BUN (HR=2.06) (all P<.05). Following categorical assessment based on number of abnormal markers, the 1-y risk of death increased in a monotonic fashion with mortality rates of 0%, 2.0%, 7.8%, 22.3%, 29.3%, and 57.6% respectively; similar results were seen in the validation set. CONCLUSION: Simultaneous assessment of pathophysiologically diverse markers in acute dyspnea provides powerful, independent and incremental prognostic information.
机译:背景:急性呼吸困难在急诊科(ED)很常见,并与死亡率有关。在这种情况下,生物标志物可能有助于分层风险。方法:在577名呼吸困难的受试者中,我们确定了5种具有预后价值的候选生物标志物:氨基末端B型利钠肽(NT-proBNP),C反应蛋白(CRP),白介素家族成员ST2,血红蛋白和血尿素氮(BUN) ;这些都使用接收器工作特性曲线和Cox比例风险分析进行了评估。在来自不同队列的呼吸困难患者人群中验证了结果。结果:在随访1年中,有93名(16.1%)患者死亡。在包含所有标志物的年龄校正的Cox模型中建立了独立的预测能力:NT-proBNP(HR = 1.89); CRP(HR = 1.95); ST2(HR = 7.17);血红蛋白(HR = 1.68); BUN(HR = 2.06)(全部P <.05)。根据异常标志物的数量进行分类评估后,1-y死亡风险以单调方式增加,死亡率分别为0%,2.0%,7.8%,22.3%,29.3%和57.6%;在验证集中看到了相似的结果。结论:同时评估急性呼吸困难的病理生理学各种标志可提供有力,独立和递增的预后信息。

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