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急诊科初始即时检测乳酸水平对成年脓毒症和脓毒性休克患者院内死亡率的预测诊断准确性。

The diagnostic accuracy of an initial point-of-care lactate at the emergency department as a predictor of in-hospital mortality among adult patients with sepsis and septic shock.

作者信息

Gicheru Brenda, Shah Jasmit, Wachira Benjamin, Omuse Geoffrey, Maina Daniel

机构信息

Department of Pathology and Laboratory Medicine, Aga Khan University, Nairobi, Kenya.

Brain and Mind Institute, Aga Khan University, Nairobi, Kenya.

出版信息

Front Med (Lausanne). 2023 May 24;10:1173286. doi: 10.3389/fmed.2023.1173286. eCollection 2023.

Abstract

BACKGROUND

In patients with sepsis, elevated lactate has been shown to be a strong predictor of in-hospital mortality. However, the optimal cutoff for rapidly stratifying patients presenting to the emergency department at risk for increased in-hospital mortality has not been well defined. This study aimed to establish the optimal point-of-care (POC) lactate cutoff that best predicted in-hospital mortality in adult patients presenting to the emergency department.

METHODS

This was a retrospective study. All adult patients who presented to the emergency department at the Aga Khan University Hospital, Nairobi, between 1 January 2018 and 31 August 2020 with suspected sepsis or septic shock and were admitted to the hospital were included in the study. Initial POC lactate results (GEM 3500 blood gas analyzer) and demographic and outcome data were collected. A receiver operating characteristic (ROC) curve for initial POC lactate values was plotted to determine the area under the curve (AUC). An optimal initial lactate cutoff was then determined using the Youden Index. Kaplan-Meier curves were used to determine the hazard ratio (HR) for the identified lactate cutoff.

RESULTS

A total of 123 patients were included in the study. They had a median age of 61 years [interquartile range (IQR) 41.0-77.0]. Initial lactate independently predicted in-hospital mortality [adjusted odds ratio (OR) 1.41 95% confidence interval (CI 1.06, 1.87) = 0.018]. Initial lactate was found to have an area under the curve (AUC) of 0.752 (95% CI, 0.643 to 0.86). Additionally, a cutoff of 3.5 mmol/L was found to best predict in-hospital mortality (sensitivity 66.7%, specificity 71.4%, PPV 70%, NPV 68.2%). Mortality was 42.1% (16/38) in patients with an initial lactate of ≥ 3.5 mmol/L and 12.7% (8/63) in patients with an initial lactate of <3.5 mmol/L (HR, 3.388; 95% CI, 1.432-8.018; < 0.005).

DISCUSSION

An initial POC lactate of ≥ 3.5 mmol/L best predicted in-hospital mortality in patients presenting with suspected sepsis and septic shock to the emergency department. A review of the sepsis and septic shock protocols will help in the early identification and management of these patients to reduce their in-hospital mortality.

摘要

背景

在脓毒症患者中,乳酸水平升高已被证明是院内死亡率的有力预测指标。然而,对于快速分层急诊科有院内死亡率增加风险的患者的最佳临界值尚未明确界定。本研究旨在确定能最佳预测急诊科成年患者院内死亡率的即时检测(POC)乳酸临界值。

方法

这是一项回顾性研究。纳入2018年1月1日至2020年8月31日期间在内罗毕阿迦汗大学医院急诊科就诊、疑似脓毒症或脓毒性休克并入院的所有成年患者。收集初始即时检测乳酸结果(GEM 3500血气分析仪)以及人口统计学和结局数据。绘制初始即时检测乳酸值的受试者工作特征(ROC)曲线以确定曲线下面积(AUC)。然后使用约登指数确定最佳初始乳酸临界值。采用Kaplan-Meier曲线确定所确定的乳酸临界值的风险比(HR)。

结果

共纳入123例患者。他们的中位年龄为61岁[四分位间距(IQR)41.0 - 77.0]。初始乳酸水平独立预测院内死亡率[调整优势比(OR)1.41,95%置信区间(CI 1.06,1.87),P = 0.018]。发现初始乳酸水平的曲线下面积(AUC)为0.752(95% CI,0.643至0.86)。此外,发现3.5 mmol/L的临界值能最佳预测院内死亡率(敏感性66.7%,特异性71.4%,阳性预测值70%,阴性预测值68.2%)。初始乳酸水平≥3.5 mmol/L的患者死亡率为42.1%(16/38),初始乳酸水平<3.5 mmol/L的患者死亡率为12.7%(8/63)(HR,3.388;95% CI,1.432 - 8.018;P < 0.005)。

讨论

初始即时检测乳酸水平≥3.5 mmol/L能最佳预测急诊科疑似脓毒症和脓毒性休克患者的院内死亡率。审查脓毒症和脓毒性休克治疗方案将有助于早期识别和管理这些患者,以降低其院内死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1340/10244658/d3bbc9f1d2f3/fmed-10-1173286-g0001.jpg

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