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新冠病毒肺炎住院患者中与疾病严重程度相关的血液学和炎症参数的识别

Identification of hematological and inflammatory parameters associated with disease severity in hospitalized patients of COVID-19.

作者信息

Sana Ahuja, Avneesh Malviya

机构信息

Department of Pathology, Shri Guru Ram Rai Institute of Medical and Health Sciences, Dehradun, Uttarakhand, India.

出版信息

J Family Med Prim Care. 2022 Jan;11(1):260-264. doi: 10.4103/jfmpc.jfmpc_941_21. Epub 2022 Jan 31.

Abstract

BACKGROUND AND OBJECTIVES

India has emerged as the second worst hit nation by the Coronavirus pandemic in terms of total number of cases. Our data on hematological and inflammatory markers associated with COVID-19 is very limited. This study was conducted to assess the utility of various biomarkers in identifying severe disease.

MATERIALS AND METHODS

All confirmed cases of COVID-19 admitted in our tertiary care centre from 1 March 2021 to 31 March 2021 were enrolled in the study. They were categorized into severe and non-severe disease categories based on pre-decided criteria. Their complete blood count parameters, D-dimer levels, serum C-reactive protein (CRP), ferritin and Lactate dehydrogenase (LDH) values were retrieved.

STATISTICAL ANALYSIS

All parameters were expressed as Mean ± Standard deviation for the two groups of patients. Student's -test was used to test significance of the above markers between severe and non- severe disease. ( value < 0.05 was taken as statistically significant).

RESULTS

A total of 150 COVID RT-PCR positive patients were evaluated. The patients with higher Absolute Neutrophil Count (ANC), Neutrophil to lymphocyte Ratio (NLR), Platelet to lymphocyte ratio (PLR), D-dimer levels and raised serum CRP, LDH, ferritin along with lymphocytopenia were associated with severe disease ( < 0.05). Hemoglobin, total leucocyte count and platelet count showed no correlation with disease severity.

CONCLUSION

These biomarkers associated with disease severity especially NLR, PLR, D-dimer and serum CRP levels could be used to triage patients at the time of admission thereby identifying those requiring intensive care and enabling optimal resource utilization.

摘要

背景与目的

就病例总数而言,印度已成为受新冠疫情影响第二严重的国家。我们关于与新冠病毒疾病相关的血液学和炎症标志物的数据非常有限。本研究旨在评估各种生物标志物在识别重症疾病方面的效用。

材料与方法

纳入2021年3月1日至2021年3月31日在我们三级医疗中心收治的所有确诊新冠病毒疾病病例。根据预先确定的标准将他们分为重症和非重症疾病类别。检索他们的全血细胞计数参数、D-二聚体水平、血清C反应蛋白(CRP)、铁蛋白和乳酸脱氢酶(LDH)值。

统计分析

所有参数以两组患者的均值±标准差表示。采用学生t检验来检验上述标志物在重症和非重症疾病之间的显著性。(P值<0.05被视为具有统计学显著性)。

结果

共评估了150例新冠逆转录聚合酶链反应阳性患者。绝对中性粒细胞计数(ANC)、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、D-二聚体水平较高以及血清CRP、LDH、铁蛋白升高并伴有淋巴细胞减少的患者与重症疾病相关(P<0.05)。血红蛋白、白细胞总数和血小板计数与疾病严重程度无相关性。

结论

这些与疾病严重程度相关的生物标志物,尤其是NLR、PLR、D-二聚体和血清CRP水平,可用于入院时对患者进行分诊,从而识别出需要重症监护的患者并实现资源的优化利用。

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Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19.预测COVID-19预后的血液学和炎症参数
Indian J Hematol Blood Transfus. 2021 Oct;37(4):534-542. doi: 10.1007/s12288-021-01407-y. Epub 2021 Feb 27.

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