Serum Hyaluronan as a Predictor of Severity in COVID-19 A Retrospective Study

被引:0
|
作者
Hu, Yao [1 ]
Xia, Qiuyi [1 ]
Lin, Yao [1 ]
Cen, Yi [1 ]
Chen, Yanwen [1 ]
Guan, Ming [1 ]
机构
[1] Fudan Univ, Huashan Hosp, Shanghai Med Coll, Dept Lab Med, 12 Middle Urumqi Rd, Shanghai 200040, Peoples R China
来源
基金
国家重点研发计划;
关键词
D O I
暂无
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Objective. We conducted this study to determine the impact of serum glycosaminoglycan hyaluronan (HA) on the prognosis of coronavirus disease 2019 (COVID-19). Methods. A total of 497 hospitalized patients with COVID-19 were included. Patients were divided into two subgroups based on the severity of infection: mild (n=344) and severe (n=153). Th e levels of HA, lymphocyte count, C-reactive protein (CRP), ferritin, interleukin 6 (IL-6), and D-dimer were measured and the correlation of these parameters with the prognosis of COVID-19 was assessed. Results. Th e mean HA level of the severe group was significantly higher than that of the mild group (204.4 ng/mL versus 850.6 ng/mL, P <0.01). In receiver operating characteristic curve analysis, an HA level >= 607.8 ng/mL predicted severe COVID-19 with a sensitivity of 62.3% and specificity fi city of 88.6%. Multivariate regression analysis demonstrated that serum HA level was a significant fi cant predictor of disease severity (odds ratio=60.56, P <0.01). Conclusion. Our findings show that higher serum HA concentrations are associated with severe COVID-19 disease. Early analysis of HA level in patients with COVID-19 might effectively predict disease severity.
引用
收藏
页码:402 / 407
页数:6
相关论文
共 50 条
  • [31] Response to Are NKT cells a useful predictor of COVID-19 severity?
    Kreutmair, Stefanie
    Becher, Burkhard
    IMMUNITY, 2022, 55 (02) : 188 - 189
  • [32] Lymphopenia: A useful predictor of COVID-19 disease severity and mortality
    Toori, Kaleem Ullah
    Qureshi, Muhammad Arsalan
    Chaudhry, Asma
    PAKISTAN JOURNAL OF MEDICAL SCIENCES, 2021, 37 (07) : 1984 - 1988
  • [33] Lymphocyte subsets as a predictor of severity and mortality in COVID-19 patients
    Appice, C.
    Belfiore, A.
    Binetti, M.
    Bonfrate, L.
    Campanale, G. A.
    Cicala, L.
    D'Alitto, F.
    Di Ciaula, A.
    Loiodice, R.
    Mallardi, C.
    Noto, A.
    Passerini, F.
    Pugliese, F. Prigigallo
    Vitariello, G.
    Di Girolamo, A.
    Portincasa, P.
    Palmieri, V. O.
    EUROPEAN JOURNAL OF CLINICAL INVESTIGATION, 2022, 52
  • [34] Body Mass Index as a Predictor of COVID-19 Severity in ICU Patients in Saudi Arabia: A Retrospective Analysis
    Alomran, Abdulrahman A.
    Althubaiti, Khalid A.
    Alabdullah, Hussain A.
    Al Bisher, Heba B.
    Awadh, Atheer
    Al Shankiti, Hind A.
    Almazyad, Laura
    Aljandul, Leen A.
    Aljohani, Abrar T.
    Dhafar, Obay W.
    Alzahrani, Zeyad A.
    Kharaba, Ayman M.
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (01)
  • [35] Assessing serum C-reactive protein as a predictor of COVID-19 outcomes: a retrospective cross-sectional study
    Abdullah, Ardalan J.
    Arif, Ali T.
    Rahman, Hawre A.
    Sofihussein, Kadhim Q.
    Hadi, Jihad M.
    Aziz, Jeza M. Abdul
    Tofiq, Shko Sh.
    Mustafa, Ayman M.
    ANNALS OF MEDICINE AND SURGERY, 2023, 85 (07): : 3359 - 3363
  • [36] Radiographic patterns and severity scoring of COVID-19 pneumonia in children: a retrospective study
    Jumlong Saelim
    Supika Kritsaneepaiboon
    Vorawan Charoonratana
    Puttichart Khantee
    BMC Medical Imaging, 23
  • [37] Dynamic NLR and PLR in Predicting COVID-19 Severity: A Retrospective Cohort Study
    Erika Asperges
    Giuseppe Albi
    Valentina Zuccaro
    Margherita Sambo
    Teresa C. Pieri
    Matteo Calia
    Marta Colaneri
    Laura Maiocchi
    Federica Melazzini
    Angioletta Lasagna
    Andrea Peri
    Francesco Mojoli
    Paolo Sacchi
    Raffaele Bruno
    Infectious Diseases and Therapy, 2023, 12 : 1625 - 1640
  • [38] Association between smoking and COVID-19 severity: A multicentre retrospective observational study
    He, Yue
    He, Yangai
    Hu, Qinghui
    Yang, Sheng
    Li, Jun
    Liu, Yuan
    Hu, Jun
    MEDICINE, 2022, 101 (29) : E29438
  • [39] Dynamic Antibody Responses in Patients with Different Severity of COVID-19: A Retrospective Study
    Lu, Wanrong
    Wu, Ping
    He, Liang
    Meng, Yifan
    Wu, Peng
    Ding, Wencheng
    Liu, Jia
    INFECTIOUS DISEASES AND THERAPY, 2021, 10 (03) : 1379 - 1390
  • [40] Retrospective Study of Clinical Features of COVID-19 in Inpatients and Their Association with Disease Severity
    Wang, Hao
    Xing, Yang
    Yao, Xiaohong
    Li, Yang
    Huang, Jietao
    Tang, Jun
    Zhu, Shasha
    Zhang, Ying
    Xiao, Jun
    MEDICAL SCIENCE MONITOR, 2020, 26