Email Alert RSS
Volume 14 Issue 5
Sep.  2023
Turn off MathJax
Article Contents
Article Navigation >  Medical Journal of Peking Union Medical College Hospital  > 2023  >  14(5): 1038-1045
LIU Huan, HUANG Xiaoling, DAI Mengying, GUO Jiejie, GAO feng. Clinical Characteristics and Inflammatory Markers of Omicron BA.5.2 Variant Infection in Hospitalized Patients and Their Predictive Role in Disease Prognosis[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(5): 1038-1045. doi: 10.12290/xhyxzz.2023-0055
Citation: LIU Huan, HUANG Xiaoling, DAI Mengying, GUO Jiejie, GAO feng. Clinical Characteristics and Inflammatory Markers of Omicron BA.5.2 Variant Infection in Hospitalized Patients and Their Predictive Role in Disease Prognosis[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(5): 1038-1045. doi: 10.12290/xhyxzz.2023-0055
shu

Clinical Characteristics and Inflammatory Markers of Omicron BA.5.2 Variant Infection in Hospitalized Patients and Their Predictive Role in Disease Prognosis

doi: 10.12290/xhyxzz.2023-0055
  • 1.

    Department of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830000, China

  • 2.

    Xinjiang Digestive System Disease Clinical Medical Research Center, Urumqi 830000, China

More Information
  • Corresponding author: GAO Feng, E-mail: xjgf@sina.com
  • Received Date: 2023-02-03
  • Accepted Date: 2023-04-03
  • Publish Date: 2023-09-30
    Abstract
  •   Objective  To analyze the clinical characteristics and inflammatory indicators of hospitalized patients infected with Omicron BA.5.2 variant, and screen for possible prognostic diagnostic markers.  Methods  We retrospectively collected clinical data from hospitalized patients with Omicron BA.5.2 variant infection admitted to the People's Hospital of Xinjiang Uygur Autonomous Region from August 1 to November 30, 2022. The patients were divided into mild, common, severe, and critically ill patient groups based on the severity of the disease. The differences in clinical data between the four groups were compared, and binary logistic regression was used to analyze inflammation indicators related to the severity of the disease. Multiple logistic regression method and receiver operator characteristic (ROC) curve were used to analyze the correlation between various indicators and patient prognosis, as well as the evaluation value for disease severity and prognosis.  Results  A total of 3006 patients who met the inclusion and exclusion criteria were included, including 1522 males (50.63%) and 1484 females (49.37%), with an average age of (58.72±18.01)(14-96) years. According to the severity of the disease, they were classified into mild (40.98%, 1232/3006), ordinary (52.56%, 1580/3006), severe (4.26%, 128/3006), and critically severe (2.20%, 66/3006) groups.There were a significant differences(all P < 0.01) in the merging of underlying diseases including cardiac disease, diabetes, hypertension, kidney disease, lung disease, malignant tumor, brain disease, viral hepatitis and autoimmune disease among each group. During the hospitalization period, a total of 74 cases (2.43%) died, including 46 cases of severe illness (63.01%), 19 cases of severe illness (26.03%), 7 cases of ordinary illness (9.60%), and 2 cases of mild illness (2.74%). The proportion of death patients aged≥70 years old was 75.68%(56/74), and all deaths were among those with underlying diseases. C-reactive protein(CRP) and albumin levels were independent risk factors for disease severity, and CRP was significantly positively correlated with disease severity(P=0.002), while albumin levels were significantly negatively correlated with disease severity (P < 0.001). CRP, systemic inflammatory response index (SIRI), and systemic immune inflammation index (SII) were independent risk factors for disease prognosis, and CRP(P=0.027) and SIRI(P=0.025) were significantly positively correlated with disease prognosis, while SII was significantly negatively correlated with disease prognosis (P=0.021). CRP, interleukin-6 (IL-6), D-dimer, and neutrophil to lymphocyte ratio (NLR) had high diagnostic value for disease severity classification with the corresponding area under the aurve(AUC) > 7.0, while CRP, IL-6, procalcitonin (PCT), D-dimer, troponin T(TnT), troponin Ⅰ(TnⅠ), NLR, SII, platelet to lymphocyte ratio (PLR), the monocyte to lymphocyte ratio (MLR) had a high prognostic diagnostic value for death or survival with the corresponding AUC > 0.70.  Conclusions  There were significant differences in clinical characteristics among hospitalized patients infected with Omicron BA.5.2 variant strains with different disease severity. Combining CRP, IL-6, D-dimer, PCT, D-dimer, TnT, TnⅠ, NLR, SII, PLR, and MLR prediction models may enable early identification of high-risk populations among hospitalized patients infected with Omicron BA.5.2 variant strains, and provide timely diagnosis and treatment.
    • FullText(HTML)
  • loading
    • References(22)
  • [1] Qiu W, Shi Q, Chen F, et al. The derived neutrophil to lymphocyte ratio can be the predictor of prognosis for COVID-19 Omicron BA. 2 infected patients[J]. Front Immunol, 2022, 13: 1065345. doi:  10.3389/fimmu.2022.1065345
    [2] Ruan Q, Yang K, Wang W, et al. Clinical predictors of mortality due to COVID- 19 based on an analysis of data of 150 patients from wuhan, China[J]. Intensive Care Med, 2020, 46: 846-848. doi:  10.1007/s00134-020-05991-x
    [3] Citu C, Gorun F, Motoc A, et al. The predictive role of NLR, d-NLR, MLR, and SIRI in COVID-19 mortality[J]. Diagnostics (Basel Switzerland), 2022, 12: 122.
    [4] Ortega-Rojas S, Salazar-Talla L, Romero-Cerdán A, et al. The neutrophil-to-Lymphocyte ratio and the platelet-to Lymphocyte ratio as predictors of mortality in older adults hospitalized with COVID-19 in Peru[J]. Dis Markers, 2022, 2022: 2497202.
    [5] 国家卫生健康委员会办公厅, 国家中医药管理局办公室. 新型冠状病毒肺炎诊疗方案(试行第九版)[EB/OL ]. (2022-03-14)[ 2023-02-03 ]. http://www.gov.cn/zhengce/zhengceku/2022-03/15/5679257/files/49854a49c7004f4ea9e622f3f2c568d8.pdf.
    [6] Robson F, Khan KS, Le TK, et al. Coronavirus RNA Proofreading: Molecular Basis and Therapeutic Targeting[J]. Mol Cell, 2020, 79: 710-727. doi:  10.1016/j.molcel.2020.07.027
    [7] Garland V, Kumar AB, Borum ML, et al. Gastrointestinal and Hepatic Manifestations of COVID-19: Evolving Recognition and Need for Increased Understanding in Vulnerable Populations[J]. J Natl Med Assoc, 2021, 113: 142-146.
    [8] Viana R, Moyo S, Amoako DG, et al. Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa[J]. Nature, 2022, 603: 679-686. doi:  10.1038/s41586-022-04411-y
    [9] Adam D. What scientists know about new, fast-spreading coronavirus variants[J]. Nature, 2021, 594: 19-20. doi:  10.1038/d41586-021-01390-4
    [10] Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China[J]. Lancet, 2020, 395: 497-506. doi:  10.1016/S0140-6736(20)30183-5
    [11] 张炜宗, 袁红, 孙金栋, 等. 新型冠状病毒感染患者院内死亡危险因素的Meta分析[J]. 中国全科医学, 2023, 26: 607-620. https://www.cnki.com.cn/Article/CJFDTOTAL-QKYX202305013.htm
    [12] de Jong VMT, Rousset RZ, Antonio-Villa NE, et al. Bello-Chavolla OY, et al. Clinical prediction models for mortality in patients with COVID-19: external validation and individual participant data meta-analysis[J]. BMJ, 2022, 378: e069881.
    [13] Hu C, Liu Z, Jiang Y, et al. Early prediction of mortality risk among patients with severe COVID-19, using machine learning[J]. Int J Epidemiol, 2021, 49: 1918-1929. doi:  10.1093/ije/dyaa171
    [14] Tehrani S, Killander A, Åstrand P, et al. Risk factors for death in adult COVID-19 patients: Frailty predicts fatal outcome in older patients[J]. Int J Infect Dis, 2021, 102: 415-421. doi:  10.1016/j.ijid.2020.10.071
    [15] Goodarzi P, Mahdavi F, Mirzaei R, et al. Coronavirus disease 2019 (COVID-19): Immunological approaches and emerging pharmacologic treatments[J]. Int Immunopharmacol, 2020, 88: 106885. doi:  10.1016/j.intimp.2020.106885
    [16] Karampoor S, Hesamizadeh K, Maleki F, et al. A possible pathogenic correlation between neutrophil elastase (NE) enzyme and inflflammation in the pathogenesis of coronavirus disease 2019 (COVID-19)[J]. Int Immunopharmacol, 2021, 100: 108137. doi:  10.1016/j.intimp.2021.108137
    [17] Batabyal R, Freishtat N, Hill E, et al. Metabolic dysfunc-tion and immunometabolism in COVID-19 pathophysiology and therapeutics[J]. Int J Obes, 2021, 45: 1163-1169. doi:  10.1038/s41366-021-00804-7
    [18] Xiao F, Tang M, Zheng X, et al. Evidence for gastrointestinal infection of SARS-CoV-2[J]. Gastroenterology, 2020, 158: 1831-1833. e3. doi:  10.1053/j.gastro.2020.02.055
    [19] Tian Y, Rong L, Nian W, et al. Review article: gastrointestinal features in COVID-19 and the possibility of faecal transmission[J]. Aliment Pharmacol Ther, 2020, 51: 843-851. doi:  10.1111/apt.15731
    [20] Liu C, Li L, Song K, et al. A nomogram for predicting mortality in patients with COVID-19 and solid tumors: a multicenter retrospective cohort study[J]. J Immunother Cancer, 2020, 8: e001314. doi:  10.1136/jitc-2020-001314
    [21] Cai J, Li H, Zhang C, et al. The neutrophil-to-Lymphocyte ratio determines clinical efficacy of corticosteroid therapy in patients with COVID-19[J]. Cell Metab, 2021, 33: 258-269. e3. doi:  10.1016/j.cmet.2021.01.002
    [22] Xia W, Tan Y, Hu S, et al. Predictive value of systemic immune-inflammation index and neutrophil-to-Lymphocyte ratio in patients with severe COVID-19[J]. Clin Appl Thromb Hemost, 2022, 28: 10760296221111391.
    • Relative Articles(0)
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)  / Tables(5)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1197) PDF downloads(20) Cited by()
    Proportional views
    Related
    Links: National Health Commission of the People's Republic of China Chinese Academy of Medical Sciences(CAMS) AMLC Check CNKI Database CNKI Term Online Chinese General Practice
    Address：Room 302,Third Floor,Building 7, No. 1 Shuaifuyuan, Wangfujing, Dongcheng District, Beijing 100730, China
    Tel：010-69154261/4262
    E - mail：medj@pumch.cn
    mjpumch@126.com
    Copyright of website：Editorial Office of Medical Journal of Peking Union Medical College Hospital

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return