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急诊确诊脓毒症患者呈现的血流动力学表型。

Presenting hemodynamic phenotypes in ED patients with confirmed sepsis.

作者信息

Nowak Richard M, Reed Brian P, Nanayakkara Prabath, DiSomma Salvatore, Moyer Michele L, Millis Scott, Levy Phillip

机构信息

Department of Emergency Medicine, Henry Ford Health System, Detroit, MI, USA.

Department of Biostatistics, Wayne State University, Detroit, MI, USA.

出版信息

Am J Emerg Med. 2016 Dec;34(12):2291-2297. doi: 10.1016/j.ajem.2016.08.031. Epub 2016 Aug 16.

Abstract

OBJECTIVES

To derive distinct clusters of septic emergency department (ED) patients based on their presenting noninvasive hemodynamic (HD) measurements and to determine if any clinical parameters could identify these groups.

METHODS

Prospective, observational, convenience study of individuals with confirmed systemic infection. Presenting, pretreatment noninvasive HD parameters were compiled using Nexfin (Bmeye/Edwards LifeSciences) from 127 cases. Based on normalized parameters, k-means clustering was performed to identify a set of variables providing the greatest level of intercluster discrimination and intracluster cohesion.

RESULTS

Our best HD clustering model used 2 parameters: the cardiac index (CI [L/min per square meter]) and systemic vascular resistance index (SVRI [dynes·s/cm per square meter]). Using this model, 3 different patient clusters were identified. Cluster 1 had high CI with normal SVRI (CI, 4.03 ± 0.61; SVRI, 1655.20 ± 348.08); cluster 2 low CI with increased vascular tone (CI, 2.50 ± 0.50; SVRI, 2600.83 ± 576.81); and cluster 3 very low CI with markedly elevated SVRI (CI, 1.37 ± 0.81; SVRI, 5951.49 ± 1480.16). Cluster 1 patients had the lowest 30-day overall mortality. Among clinically relevant variables available during the initial patient evaluation in the ED age, heart rate and temperature were significantly different across the 3 clusters.

CONCLUSIONS

Emergency department patients with confirmed sepsis had 3 distinct cluster groupings based on their presenting noninvasively derived CI and SVRI. Further clinical studies evaluating the effect of early cluster-specific therapeutic interventions are needed to determine if there are outcome benefits of ED HD phenotyping in these patients.

摘要

目的

根据脓毒症急诊科(ED)患者就诊时的无创血流动力学(HD)测量值得出不同的聚类,并确定是否有任何临床参数可以识别这些组。

方法

对确诊为全身感染的个体进行前瞻性、观察性、便利性研究。使用Nexfin(Bmeye/爱德华生命科学公司)收集了127例患者就诊时的预处理无创HD参数。基于标准化参数,进行k均值聚类以识别一组能提供最大组间区分度和组内凝聚力的变量。

结果

我们最佳的HD聚类模型使用了2个参数:心脏指数(CI[升/分钟每平方米])和全身血管阻力指数(SVRI[达因·秒/厘米每平方米])。使用该模型,识别出3个不同的患者聚类。聚类1的CI高而SVRI正常(CI,4.03±0.61;SVRI,1655.20±348.08);聚类2的CI低且血管张力增加(CI,2.50±0.50;SVRI,2600.83±576.81);聚类3的CI极低且SVRI显著升高(CI,1.37±0.81;SVRI,5951.49±1480.16)。聚类1的患者30天总体死亡率最低。在急诊科对患者进行初始评估时可获得的临床相关变量中,年龄、心率和体温在这3个聚类之间存在显著差异。

结论

确诊为脓毒症的急诊科患者根据其就诊时无创得出的CI和SVRI有3个不同的聚类分组。需要进一步的临床研究来评估早期聚类特异性治疗干预的效果,以确定急诊科HD表型分析对这些患者是否有预后益处。

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