预测实验室参数在急性呼吸道感染患者早期分诊中的潜在效用研究

Dogra Shruti, B. Taruna, S. C. Devendar, K. Vijay, Kaushik Rajnish, Achra Arvind
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摘要

2019年12月在中国武汉爆发的新型冠状病毒(COVID-19)已于2021年3月11日被世界卫生组织(世卫组织)宣布为大流行。到目前为止,即使各国都在竞相开发针对COVID-19的疫苗,诊断和隔离病例仍然是遏制疾病传播的唯一途径。因此,对疑似COVID - 19患者进行有效的分类,成为防止疾病传播的有效工具,特别是在发展中国家。可以研究和分析简单的血液学参数,如白细胞计数、血小板计数、血红蛋白和全血细胞计数的参数,即NLR、衍生NLR、PLR和肝功能检查,以区分COVID - 19患者与其他非COVID - 19严重急性呼吸系统疾病(SARI)患者。这些是在与患者第一次接触时进行的调查,考虑到发展中国家的人口,这些调查相对而言具有成本效益。患者和方法:在为期一个月的回顾性病例对照研究中,包括286名在德里一家三级医院住院的连续严重急性呼吸系统疾病(SARI)患者。根据COVID-19逆转录聚合酶链反应(RT-PCR)结果将患者分为COVID-19阳性组和COVID-19阴性组。采用SPSS 23.0对两组患者的人口学数据、衍生参数中性粒细胞淋巴细胞比率(NLR)、衍生NLR比率、血小板淋巴细胞比率(PLR)、预后营养指数(PNI)等常规血液学及生化指标进行分析比较。p值<0.05为显著性。结果:COVID-19阳性患者淋巴细胞百分比(p值=0.017)、血清谷氨酸丙酮酸转氨酶(SGPT)(p值=0.033)显著高于对照组,绝对中性粒细胞计数(ANC)(p值= 0.023)、NLR(p值=0.033)和血小板计数(p值=0.001)显著低于对照组。其他血液学和生化指标无显著差异。结论:NLR、血小板计数、淋巴细胞百分比和SGPT是简单的炎症实验室生物标志物,可用于COVID - 19疾病的筛查和分诊,具有不同的敏感性和特异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of Potential Utility of Predictive Laboratory Parameters for Early Triage of SARI Patients
Introduction: The novel corona virus (COVID-19), which began in Wuhan, China, in December 2019, has been declared pandemic by the World Health Organization (WHO) on 11th March 2021. Till now, even when nations are in race for developing vaccine against COVID-19, diagnosing the cases and isolating them still remain the only way to contain the disease spread. Hence, effective triage of the suspected COVID 19 patients, becomes an effective tool in preventing disease spread, especially in developing nations. Simple hematological parameters like leukocyte counts, platelet counts, hemoglobin and parameters derived from complete blood counts namely NLR, derived NLR, PLR and liver function tests can be studied and analysed to differentiate COVID 19 patients from other non-COVID 19 Severe Acute Respiratory Illness (SARI) patients. These are the investigations at first point of contact with the patient and are relatively cost effective, keeping in mind the population of developing nations. Patients and Methods: Retrospective case control study conducted over a period of one month including 286 consecutive Severe Acute Respiratory Illness(SARI) patients admitted in a                  tertiary care hospital in Delhi. The patients were divided into COVID-19 positive and COVID-19 negative groups based on their results of reverse transcriptase-polymerase chain reaction (RT-PCR) for COVID-19. The demographic data, and routine hematological and biochemical parameters including derived parameters like Neutrophil lymphocyte ratio (NLR), derived NLR  ratio, Platelet lymphocyte ratio (PLR) and Prognostic nutrition index (PNI) were analyzed and compared between the two groups using SPSS version 23.0. A p value of <0.05 was considered significant. Results: The COVID-19 positive patients had a significantly higher lymphocyte percentage (p value=0.017) and Serum Glutamate Pyruvate Transaminase(SGPT)( p value=0.033), and a significantly lower Absolute Neutrophil Count (ANC)( p value= 0.023), NLR(p value=0.033) and platelet count(p valu=0.001). No significant difference in other haematological and biochemical parameters was found. Conclusion: NLR, platelet count, lymphocyte percentage and SGPT are the simple laboratory biomarkers of inflammation that can be utilized for screening and triage in COVID 19 disease with variable sensitivity and specificity.
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