Associate Professor, Director of Hematopathology, Department of Pathology, University of Missouri Kansas City School of Medicine, and University Health/Truman Medical Center, Kansas City, Missouri.
Professor, Chair, and Associate Program Director, Department of Pathology, University of Missouri Kansas City School of Medicine, and University Health/Truman Medical Center, Kansas City, Missouri.
Mo Med. 2023 May-Jun;120(3):196-200.
Sepsis is a major health care burden with significant contribution to morbidity, mortality, and hospital resource utilization. Monocyte Distribution Width (MDW), the novel hematological biomarker, was clinically implemented in our laboratory for early detection of sepsis (ESId) in 2019. When COVID-19 pandemic hit in 2020, we noticed some similarities of the laboratory data of the COVID patients with patients previously diagnosed with sepsis. The aim of this study was to evaluate the value of the hematological data including MDW in predicting COVID disease severity and outcome. A retrospective study was conducted on 130 COVID-infected patients who presented at our hospital during March and April 2020. Collected data included clinical, laboratory, and radiological findings. This study demonstrates a unique pattern of three hematological biomarkers that predicted severity and outcome in COVID patients at their initial presentation in the Emergency Room (ER): higher absolute neutrophil count (ANC), lower absolute lymphocyte count (ALC), and higher MDW.
脓毒症是一种重大的医疗保健负担，对发病率、死亡率和医院资源利用有重大影响。单核细胞分布宽度（MDW）作为一种新的血液学生物标志物，于 2019 年在我们实验室中用于早期检测脓毒症（ESId）。2020 年 COVID-19 大流行期间，我们注意到 COVID 患者的实验室数据与之前诊断为脓毒症的患者有一些相似之处。本研究旨在评估包括 MDW 在内的血液学数据在预测 COVID 疾病严重程度和结局方面的价值。对 2020 年 3 月至 4 月期间在我院就诊的 130 例 COVID 感染患者进行了回顾性研究。收集的数据包括临床、实验室和影像学发现。这项研究表明，在急诊室（ER）初始就诊时，三种血液学标志物存在一种独特的模式，可预测 COVID 患者的严重程度和结局：更高的绝对中性粒细胞计数（ANC）、更低的绝对淋巴细胞计数（ALC）和更高的 MDW。
