Do dynamic changes in haematological and biochemical parameters predict mortality in critically ill COVID-19 patients?

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Milka Jandric, Biljana Zlojutro, Danica Momcicevic, Sasa Dragic, Tijana Kovacevic, Vlado Djajic, Milos P Stojiljkovic, Dragana Loncar-Stojiljkovic, Ranko Skrbic, Dragan M Djuric, Pedja Kovacevic
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引用次数: 0

Abstract

Background: Critically ill COVID-19 patients are usually subjected to clinical, laboratory, and radiological diagnostic procedures resulting in numerous findings. Utilizing these findings as indicators for disease progression or outcome prediction is particularly intriguing.

Objectives: Exploring the significance of dynamic changes in haematological and biochemical parameters in predicting the mortality of critically ill COVID-19 patients.

Methods: The present study was a prospective and observational study involving mechanically ventilated 75 critically ill adult COVID-19 patients with hypoxemic respiratory failure. The collected data included baseline patient characteristics, treatment options, outcome, and laboratory findings at admission and 7 days after. The dynamics of the obtained findings were compared between survivors and non-survivors.

Results: The 28-day survival rate was 61.3%. In the group of non-survivors significant dynamic changes were found for C-reactive protein (p= 0.001), interleukin-6 (p< 0.001), lymphocyte (p= 0.003), neutrophil-lymphocyte ratio (p= 0.003), platelets (p< 0.001), haemoglobin (p< 0.001), iron (p= 0.012), and total iron-binding capacity (p< 0.001). Statistically significant changes over time were found for ferritin (p= 0.010), D-dimer (p< 0.001), hs-troponin T (p< 0.002), lactate dehydrogenase (p= 0.001), glucose (p= 0.023), unsaturated iron-binding capacity (p= 0.008), and vitamin D (p< 0.001).

Conclusion: The dynamic changes in inflammatory, haematological and biochemical parameters can predict disease severity, and outcome.

血液和生化指标的动态变化能否预测 COVID-19 重症患者的死亡率?
背景:COVID-19重症患者通常需要接受临床、实验室和放射诊断程序,从而得出许多结果。利用这些结果作为疾病进展或预后的指标尤其引人关注:探索血液和生化指标的动态变化在预测 COVID-19 重症患者死亡率方面的意义:本研究是一项前瞻性观察研究,涉及 75 名机械通气的低氧血症呼吸衰竭 COVID-19 重症成人患者。收集的数据包括患者的基线特征、治疗方案、结果以及入院时和入院 7 天后的实验室检查结果。对幸存者和非幸存者所获结果的动态变化进行了比较:结果:28 天存活率为 61.3%。在非幸存者组中,C 反应蛋白(p= 0.001)、白细胞介素-6(p< 0.001)、淋巴细胞(p= 0.003)、中性粒细胞-淋巴细胞比率(p= 0.003)、血小板(p< 0.001)、血红蛋白(p< 0.001)、铁(p= 0.012)和总铁结合能力(p< 0.001)均有显著的动态变化。铁蛋白(p= 0.010)、D-二聚体(p< 0.001)、hs-肌钙蛋白 T(p< 0.002)、乳酸脱氢酶(p= 0.001)、葡萄糖(p= 0.023)、不饱和铁结合能力(p= 0.008)和维生素 D(p< 0.001)随时间的变化具有统计学意义:炎症、血液学和生化参数的动态变化可预测疾病的严重程度和预后。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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