Serum Lactate Dehydrogenase Levels Reflect the Lung Injury Extension in COVID-19 Patients at Hospital Admission

IF 3.1 4区 医学 Q3 IMMUNOLOGY
Maria Sofia Bertilacchi, Giulia Vannucci, Rebecca Piccarducci, Lorenzo Germelli, Chiara Giacomelli, Chiara Romei, Brian Bartholmai, Greta Barbieri, Claudia Martini, Michela Baccini
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引用次数: 0

Abstract

Background

Several hematological and biochemical parameters have been related to the COVID-19 infection severity and outcomes. However, less is known about clinical indicators reflecting lung involvement of COVID-19 patients at hospital admission. Computed tomography (CT) represents an established imaging tool for the detection of lung injury, and the quantitative analysis software CALIPER has been used to assess lung involvement in COVID-19 patients. Herein, the relationship between the lung involvement expressed by CALIPER interstitial lung disease (ILD) percentage and a set of blood parameters related to tissue oxygenation and damage in COVID-19 patients at hospital admission was evaluated.

Methods

We performed a retrospective and a prospective study involving 321 and 75, respectively, COVID-19-positive patients recruited from Pisa University Hospital. The association between CALIPER ILD percentages and selected blood parameters was investigated by a regression tree approach, after multiple imputations of the dataset missing values.

Results

High serum lactate dehydrogenase (LDH) values appeared to be predictive of high CALIPER ILD percentages at hospital admission in both retrospective and prospective datasets, even if the predictive performance of the algorithm was not optimal.

Conclusions

LDH levels could be evaluated as a tool for early identification of COVID-19 patients at risk of extensive lung injury, as well as in fast screening procedures before hospitalization.

Abstract Image

血清乳酸脱氢酶水平反映入院时COVID-19患者肺损伤扩展
一些血液学和生化参数与COVID-19感染的严重程度和结局有关。然而,反映入院时COVID-19患者肺部受累的临床指标知之甚少。计算机断层扫描(CT)是一种成熟的检测肺损伤的成像工具,定量分析软件CALIPER已被用于评估COVID-19患者的肺部受累情况。本研究评估了新冠肺炎患者入院时CALIPER间质性肺病(ILD)百分比表达的肺部受累程度与组织氧合和损伤相关的一组血液参数之间的关系。方法采用回顾性研究和前瞻性研究,分别纳入来自比萨大学医院的321例和75例covid -19阳性患者。在对数据集缺失值进行多次计算后,通过回归树方法研究CALIPER ILD百分比与选定血液参数之间的关系。结果在回顾性和前瞻性数据集中,高血清乳酸脱氢酶(LDH)值似乎可以预测住院时CALIPER ILD的高百分比,即使该算法的预测性能不是最佳的。结论LDH水平可作为早期识别COVID-19患者广泛肺损伤风险的工具,也可作为住院前快速筛查的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Immunity, Inflammation and Disease
Immunity, Inflammation and Disease Medicine-Immunology and Allergy
CiteScore
3.60
自引率
0.00%
发文量
146
审稿时长
8 weeks
期刊介绍: Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including: • cellular and molecular immunology • clinical immunology • allergy • immunochemistry • immunogenetics • immune signalling • immune development • imaging • mathematical modelling • autoimmunity • transplantation immunology • cancer immunology
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