Comprehensive evaluations of coronavirus disease 2019 survivors regarding immunity, laboratory and computed tomography change

被引:0
|
作者
Bahgat, Shereen [1 ]
Abdelhamid, Aya M. [1 ]
Gaber, Osama A. [2 ]
Abdelsalam, Noha M. [3 ]
Eldin, Rasha M. B. [1 ]
机构
[1] Zagazig Univ, Fac Med, Dept Family Med, Zagazig 44511, Egypt
[2] Zagazig Univ, Fac Med, Dept Med Biochem, Zagazig, Egypt
[3] Zagazig Univ, Fac Med, Dept Community Med, Zagazig, Egypt
关键词
Coronavirus disease 2019; computed tomography; immunity; lab; acute respiratory syndrome coronavirus 2; COVID-19;
D O I
10.4103/ecdt.ecdt_79_23
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
BackgroundLong coronavirus disease is an incapacitating disease that occurs in at least 10% of severe acute respiratory syndrome coronavirus 2 infections. At least 65 million persons global are estimated to have long COVID, with situations increasing daily.Patients and methodsThis is a prospective cohort study done on COVID-19 survivors' proved by computed tomography (CT) or RCR testing who registered for follow-up at post-COVID Clinic at Family Medicine Department in Zagazig University Hospital through systematic random sampling technique. Survivors followed-up for 6 months by three visits.ResultsTotal 137 adult patients with COVID-19 were included in this study. Mean age of the studied group 42.01 +/- 8.28 years where most of them were females (78.1%). As regards inflammatory marker C-reactive protein, erythrocyte sedimentation rate (ESR) and D-dimer were slightly elevated and improving in the subsequent visits but complete blood picture, liver functions, kidney function, cardiac enzymes result through follow-up visits were in normal range. As regards CT change (72.3%) demonstrated abnormal CT in first visit and became (20.5%) at follow-up visit. As regards serology results, 100% demonstrated positive serology in first measurement and 12.5% turned negative in follow-up measurement after 3 months.ConclusionSmall percent of COVID-19 patients present with some abnormalities, but after follow-up period we observed overall improvement in all parameters.
引用
收藏
页码:154 / 160
页数:7
相关论文
共 50 条
  • [1] Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors
    Feng Pan
    Chuansheng Zheng
    Tianhe Ye
    Lingli Li
    Dehan Liu
    Lin Li
    Richard L. Hesketh
    Lian Yang
    Scientific Reports, 10
  • [2] Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors
    Pan, Feng
    Zheng, Chuansheng
    Ye, Tianhe
    Li, Lingli
    Liu, Dehan
    Li, Lin
    Hesketh, Richard L.
    Yang, Lian
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [3] Diagnostic role of chest computed tomography in coronavirus disease 2019
    Jedrusik, Piotr
    Gaciong, Zbigniew
    Sklinda, Katarzyna
    Sierpinski, Radoslaw
    Walecki, Jerzy
    Gujski, Mariusz
    POLISH ARCHIVES OF INTERNAL MEDICINE-POLSKIE ARCHIWUM MEDYCYNY WEWNETRZNEJ, 2020, 130 (06): : 520 - 528
  • [4] Diagnostic efficacy of chest computed tomography for Coronavirus Disease 2019
    Zakariaee, Seyed Salman
    Salmanipour, Hossein
    Kaffashian, Mohammad Reza
    JOURNAL OF MEDICAL SIGNALS & SENSORS, 2023, 13 (02): : 129 - 135
  • [5] Clinical and computed tomography features in patients with coronavirus disease 2019
    Wang, Dongxu
    Wang, Yuguang
    Zhang, Qing
    Jin, Baiming
    Wen, Qiuting
    Du, Fengxia
    He, Jun
    Zhang, Tianyu
    Li, Bo
    Ding, Guoxu
    EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2021, 21 (02)
  • [6] Abnormalities on chest computed tomography in patients with coronavirus disease 2019
    Rogalska-Plonska, Magdalena
    Kuzmicz, Andrzej
    Lapinski, Tadeusz W.
    Flisiak, Robert
    POLISH ARCHIVES OF INTERNAL MEDICINE-POLSKIE ARCHIWUM MEDYCYNY WEWNETRZNEJ, 2020, 130 (06): : 541 - 543
  • [7] Quantitative computed tomography analysis for stratifying the severity of Coronavirus Disease 2019
    Shen, Cong
    Yu, Nan
    Cai, Shubo
    Zhou, Jie
    Sheng, Jiexin
    Liu, Kang
    Zhou, Heping
    Guo, Youmin
    Niu, Gang
    JOURNAL OF PHARMACEUTICAL ANALYSIS, 2020, 10 (02) : 123 - 129
  • [8] Thoracic Computed Tomography Features of Coronavirus Disease 2019 Patients with Emphysema
    Tittaferrante, Stephanie
    Gupta, Rohit
    Kim, Victor
    CHRONIC OBSTRUCTIVE PULMONARY DISEASES-JOURNAL OF THE COPD FOUNDATION, 2020, 7 (03): : 290 - 296
  • [9] Quantitative computed tomography analysis for stratifying the severity of Coronavirus Disease 2019
    Cong Shen
    Nan Yu
    Shubo Cai
    Jie Zhou
    Jiexin Sheng
    Kang Liu
    Heping Zhou
    Youmin Guo
    Gang Niu
    JournalofPharmaceuticalAnalysis, 2020, 10 (02) : 123 - 129
  • [10] Diagnostic value and key features of computed tomography in Coronavirus Disease 2019
    Li Bingjie
    Li Xin
    Wang Yaxuan
    Han Yikai
    Wang Yidi
    Wang Chen
    Zhang Guorui
    Jin Jianjun
    Jia Hongxia
    Fan Feifei
    Ma Wang
    Liu Hong
    Zhou Yue
    EMERGING MICROBES & INFECTIONS, 2020, 9 (01) : 787 - 793