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一种新型评分系统,结合改良早期预警评分与单核细胞分布宽度、白细胞计数和中性粒细胞与淋巴细胞比值的生物标志物,以提高老年人早期脓毒症的预测。

A novel scoring system combining Modified Early Warning Score with biomarkers of monocyte distribution width, white blood cell counts, and neutrophil-to-lymphocyte ratio to improve early sepsis prediction in older adults.

机构信息

Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan.

出版信息

Clin Chem Lab Med. 2022 Sep 15;61(1):162-172. doi: 10.1515/cclm-2022-0656. Print 2023 Jan 27.

Abstract

OBJECTIVES

This study aims to investigate whether combining scoring systems with monocyte distribution width (MDW) improves early sepsis detection in older adults in the emergency department (ED).

METHODS

In this prospective observational study, we enrolled older adults aged ≥60 years who presented with confirmed infectious diseases to the ED. Three scoring systems-namely quick sepsis-related organ failure assessment (qSOFA), Modified Early Warning Score (MEWS), and National Early Warning Score (NEWS), and biomarkers including MDW, neutrophil-to-lymphocyte ratio (NLR), and C-reactive protein (CRP), were assessed in the ED. Logistic regression models were used to construct sepsis prediction models.

RESULTS

After propensity score matching, we included 522 and 2088 patients with and without sepsis in our analysis from January 1, 2020, to September 30, 2021. NEWS ≥5 and MEWS ≥3 exhibited a moderate-to-high sensitivity and a low specificity for sepsis, whereas qSOFA score ≥2 demonstrated a low sensitivity and a high specificity. When combined with biomarkers, the NEWS-based, the MEWS-based, and the qSOFA-based models exhibited improved diagnostic accuracy for sepsis detection without CRP inclusion (c-statistics=0.842, 0.842, and 0.826, respectively). Of the three models, MEWS ≥3 with white blood cell (WBC) count ≥11 × 10/L, NLR ≥8, and MDW ≥20 demonstrated the highest diagnostic accuracy in all age subgroups (c-statistics=0.886, 0.825, and 0.822 in patients aged 60-74, 75-89, and 90-109 years, respectively).

CONCLUSIONS

Our novel scoring system combining MEWS with WBC, NLR, and MDW effectively detected sepsis in older adults.

摘要

目的

本研究旨在探讨在急诊科(ED)中,联合评分系统与单核细胞分布宽度(MDW)是否能提高老年人早期脓毒症的检出率。

方法

在这项前瞻性观察性研究中,我们纳入了年龄≥60 岁且因确诊感染性疾病而到 ED 就诊的老年人。在 ED 中评估了三个评分系统——快速脓毒症相关器官衰竭评估(qSOFA)、改良早期预警评分(MEWS)和国家早期预警评分(NEWS),以及生物标志物包括 MDW、中性粒细胞与淋巴细胞比值(NLR)和 C 反应蛋白(CRP)。使用逻辑回归模型构建了脓毒症预测模型。

结果

在倾向评分匹配后,我们纳入了 2020 年 1 月 1 日至 2021 年 9 月 30 日期间患有和未患有脓毒症的 522 名和 2088 名患者。NEWS≥5 和 MEWS≥3 对脓毒症具有中高度敏感性和低特异性,而 qSOFA 评分≥2 则表现出低敏感性和高特异性。当与生物标志物结合时,基于 NEWS、MEWS 和 qSOFA 的模型在不包括 CRP 的情况下对脓毒症检测的诊断准确性得到提高(c 统计值分别为 0.842、0.842 和 0.826)。在这三个模型中,MEWS≥3 联合白细胞计数(WBC)≥11×10/L、NLR≥8 和 MDW≥20 在所有年龄亚组中具有最高的诊断准确性(c 统计值在 60-74 岁、75-89 岁和 90-109 岁的患者中分别为 0.886、0.825 和 0.822)。

结论

我们的新型评分系统结合 MEWS 与 WBC、NLR 和 MDW,能有效检测老年人的脓毒症。

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