Suppr超能文献

新冠病毒感染康复后:三个时间点患者血液学因素的变化

Post-COVID-19: Hematological Factors Changes in Patients at Three-time Intervals.

作者信息

Sharif-Zak Mohsen, Abbasi-Jorjandi Mojtaba, Asadikaram Gholamreza, Ghoreshi Zohreh-Al-Sadat, Abolhassani Moslem, Rosen Clifford

机构信息

Department of Clinical Biochemistry, Applied Cellular and Molecular Research Center, Kerman University of Medical Sciences, Kerman, Iran.

Department of Clinical Biochemistry, Research Center of Tropical and Infectious Diseases, Kerman University of Medical Sciences, Kerman, Iran.

出版信息

Curr Med Chem. 2025;32(18):3670-3692. doi: 10.2174/0109298673299246240625084103.

Abstract

INTRODUCTION

Hematological parameters are crucial factors in disease severity and chronic condition pathogenesis. We aimed to evaluate the hematological factors in different severity stages of COVID-19 at different time intervals.

METHODS

Serum samples were collected from 470 patients (235 men and 235 women) with a confirmed RT-qPCR COVID-19 test exhibiting moderate, severe, and critical symptoms based on WHO criteria. Samples were collected at three-time intervals, including the first: the 1 days of infection, 2: the one month after, and 3: the three months after disease onset. Total WBC, neutrophil, lymphocyte, monocyte, eosinophil, RBC counting, Hb, HCT, MCV, MCH, MCHC, hsCRP levels, G6PD deficiency, and hemoglobinopathies were determined in all patients.

RESULTS

Total WBC, neutrophil, lymphocyte, platelet, RBC counting, Hb, HCT, MCV, MCH, and hsCRP levels were significantly changed with different disease severity (p<0.0001). Also, there were significant differences between different time intervals for WBC and RBC parameters (p<0.0001) except for monocytes and eosinophils. At all time intervals, there are significant changes in levels of hematological and hsCRP based on gender. Moreover, a significant correlation was observed between disease severity, age, and BMI (p<0.0001).

CONCLUSION

Significant differences in hematological parameter and inflammatory parameter levels based on disease severity, time intervals, and gender revealed the importance of evaluating these factors in the management of infectious diseases, such as COVID-19, in patients during and post-disease times.

摘要

引言

血液学参数是疾病严重程度和慢性病发病机制的关键因素。我们旨在评估不同时间间隔下新冠病毒疾病(COVID-19)不同严重程度阶段的血液学因素。

方法

收集了470例经逆转录定量聚合酶链反应(RT-qPCR)确诊为COVID-19的患者(235名男性和235名女性)的血清样本,这些患者根据世界卫生组织标准表现出中度、重度和危重症症状。样本在三个时间间隔采集,第一个是感染后1天,第二个是感染后1个月,第三个是发病后3个月。测定了所有患者的白细胞总数、中性粒细胞、淋巴细胞、单核细胞、嗜酸性粒细胞、红细胞计数、血红蛋白、血细胞比容、平均红细胞体积、平均红细胞血红蛋白含量、平均红细胞血红蛋白浓度、超敏C反应蛋白水平、葡萄糖-6-磷酸脱氢酶缺乏症和血红蛋白病。

结果

白细胞总数、中性粒细胞、淋巴细胞、血小板、红细胞计数、血红蛋白、血细胞比容、平均红细胞体积、平均红细胞血红蛋白含量和超敏C反应蛋白水平随疾病严重程度的不同而有显著变化(p<0.0001)。此外,除单核细胞和嗜酸性粒细胞外,白细胞和红细胞参数在不同时间间隔之间也存在显著差异(p<0.0001)。在所有时间间隔,血液学和超敏C反应蛋白水平根据性别有显著变化。此外,观察到疾病严重程度、年龄和体重指数之间存在显著相关性(p<0.0001)。

结论

基于疾病严重程度、时间间隔和性别的血液学参数和炎症参数水平的显著差异揭示了在COVID-19等传染病患者患病期间和病后评估这些因素在管理中的重要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验