Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
PLoS One. 2021 Dec 2;16(12):e0260537. doi: 10.1371/journal.pone.0260537. eCollection 2021.
Several reports highlighted the central role of inflammation in the pathogenesis of corona virus disease-19 (COVID-19) disease. Also, the hyper-inflammatory response that is triggered by severe acute respiratory syndrom-Covid-2 (SARS-CoV-2) infection was believed to play an essential role in disease severity and adverse clinical course. For that reason, the classical inflammatory markers were proposed as a possible indicator for COVID-19 severity. However, an extensive analysis of the predictive value of inflammatory biomarkers in large patients' cohorts is still limited and critically needed. In this study we investigated the predictive value of the classical inflammatory biomarkers in a patient cohort consists of 541 COVID-19 patients admitted to Al Kuwait Hospital, Dubai, UAE. A detailed analysis of the association between the essential inflammatory markers and clinical characteristics as well as clinical outcome of the patients were made. In addition, the correlation between those markers and a wide range of laboratory biomarkers and incidence of acute organs injury were investigated. Our results showed a significant elevation of many inflammatory markers including white cell count (WBC) count, neutrophils count, C-reactive protein (CRP), D-Dimer, ferritin, procalcitonin (PCT), and lactate dehydrogenase (LDH) levels in patients with more severe illness. Also, our results highlighted that higher levels of those markers can predict worse patient outcome including the need of ventilation, intensive care unit (ICU) admission, multiple organs dysfunction as well as death. In addition, Our results showed that the presence of lymphopenia and lower absolute lymphocyte count (ALC) at the time of admission were associated with severe to critical COVID-19 illness (P<0.0001), presence of acute respiratory distress syndrome (ARDS) (P<0.0001) and the need for ventilation and ICU admission., Moreover, our results showed a strong association between lower ALC count and multiple organs dysfunction and patient's death (P<0.0001). In conclusion, our results highlighted the possible use of classical inflammatory biomarkers at time of admission as a potential predictive marker for more severe clinical course in COVID-19 patients that might need more aggressive therapeutic approach including the need of ventilators and ICU admission. The presence of such predictive markers might improve patient's stratification and help in the direction of the available resources to patients in need, which in turn help in improving our response to the disease pandemic.
有几份报告强调了炎症在新型冠状病毒病(COVID-19)发病机制中的核心作用。此外,人们认为严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)感染引发的过度炎症反应在疾病严重程度和不良临床病程中发挥了重要作用。因此,经典的炎症标志物被提议作为 COVID-19 严重程度的一个可能指标。然而,对大型患者队列中炎症生物标志物的预测价值进行广泛分析仍然受到限制,并且迫切需要进行分析。在这项研究中,我们调查了炎症标志物在由 541 名 COVID-19 患者组成的患者队列中的预测价值,这些患者被收治到阿联酋迪拜的 Al Kuwait 医院。对患者的基本炎症标志物与临床特征以及临床结局之间的关联进行了详细分析。此外,还研究了这些标志物与广泛的实验室生物标志物和急性器官损伤发生率之间的相关性。我们的研究结果表明,在病情较重的患者中,许多炎症标志物(包括白细胞计数、中性粒细胞计数、C 反应蛋白、D-二聚体、铁蛋白、降钙素原和乳酸脱氢酶)的水平显著升高。此外,我们的研究结果强调,这些标志物水平升高可预测患者预后不良,包括需要通气、入住重症监护病房(ICU)、多器官功能障碍以及死亡。此外,我们的研究结果表明,入院时存在淋巴细胞减少症和绝对淋巴细胞计数(ALC)降低与严重至危重症 COVID-19 疾病相关(P<0.0001)、急性呼吸窘迫综合征(ARDS)相关(P<0.0001),并与通气和 ICU 入院相关。此外,我们的研究结果表明,ALC 计数降低与多器官功能障碍和患者死亡之间存在很强的关联(P<0.0001)。总之,我们的研究结果强调了在 COVID-19 患者入院时使用经典炎症标志物作为预测更严重临床病程的潜在预测标志物的可能性,这可能需要更积极的治疗方法,包括需要通气和 ICU 入院。这些预测标志物的存在可以改善患者的分层,并有助于将现有资源用于有需要的患者,从而有助于提高我们对疾病大流行的应对能力。