• Register
  • Login

European Journal of Molecular & Clinical Medicine

  • Home
  • Browse
    • Current Issue
    • By Issue
    • By Subject
    • Keyword Index
    • Author Index
    • Indexing Databases XML
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Indexing and Abstracting
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
Advanced Search

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 9, Issue 8
  3. Author

Online ISSN: 2515-8260

Volume9, Issue8

ANALYSIS OF BIOCHEMICAL MARKERS TO PREDICT DISEASE SEVERITY IN HOSPITALIZED COVD-19 PATIENTS, PUNE

    Dr Charusheela R Gore, Dr Vinayak Sharma, Dr Sachin Shivnitwar, Dr Archana Buch, Dr Banyameen Iqbal .

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 8, Pages 3234-3244

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

Background: Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), which causes coronavirus disease 2019 (COVID‑19), has swiftly grown into a pandemic. Despite extensive research, the function of numerous haematological and biochemical markers in prognosis remains unknown. There have been scientific papers in the Indian setting that describe demographics, clinical characteristics, hospital course, morbidity, and death in COVID-19 patients, however the numbers are limited. The current study provided us with a better understanding of the disease development and progression in COVID-19 patients, as well as the factors that determine disease severity.
Methods: This study was carried out at a COVID-19 tertiary care facility at Dr. D. Y Patil Medical College, Hospital and Research Centre, Pune. The demographic and clinical information, laboratory parameters of admitted COVID‑19 patients were collected were subsequently analysed.
Results: The mean (SD) age of COVID 19 patients was 48.21(16.37) years. The total number of COVID-19 patients with mild disease was 273 (45.27%), moderate disease was 177 (29.35%), and severe disease was 153 (25.37%). The Serum urea, serum AST, Serum total bilirubin, Serum Conjugated Bilirubin, Serum Unconjugated bilirubin , serum  LDH, Serum CRP and Serum Ferritin were differ significantly between mild, moderate, and severely ill  COVID-19 cases.
Conclusion: In conclusion the study revealed the role of numerous biochemical indicators in the severity of COVID-19, as well as the order of effectiveness among the markers. Our findings suggested that LDH and CRP levels were a promising biomarker for predicting COVID-19 severity.
Keywords:
    Covid-19 Disease severity Serum LDH Serum CRP Serum Urea
  • PDF (327 K)
  • XML
(2023). ANALYSIS OF BIOCHEMICAL MARKERS TO PREDICT DISEASE SEVERITY IN HOSPITALIZED COVD-19 PATIENTS, PUNE. European Journal of Molecular & Clinical Medicine, 9(8), 3234-3244.
Dr Charusheela R Gore, Dr Vinayak Sharma, Dr Sachin Shivnitwar, Dr Archana Buch, Dr Banyameen Iqbal .. "ANALYSIS OF BIOCHEMICAL MARKERS TO PREDICT DISEASE SEVERITY IN HOSPITALIZED COVD-19 PATIENTS, PUNE". European Journal of Molecular & Clinical Medicine, 9, 8, 2023, 3234-3244.
(2023). 'ANALYSIS OF BIOCHEMICAL MARKERS TO PREDICT DISEASE SEVERITY IN HOSPITALIZED COVD-19 PATIENTS, PUNE', European Journal of Molecular & Clinical Medicine, 9(8), pp. 3234-3244.
ANALYSIS OF BIOCHEMICAL MARKERS TO PREDICT DISEASE SEVERITY IN HOSPITALIZED COVD-19 PATIENTS, PUNE. European Journal of Molecular & Clinical Medicine, 2023; 9(8): 3234-3244.
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 5
  • PDF Download: 51
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
Journal Information

Publisher:

Email:  editor.ejmcm21@gmail.com

  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap

 

For Special Issue Proposal : editor.ejmcm21@gmail.com

This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus