Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Issue: November 2022

Volume 7 | Issue 11

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: CSF Analysis in suspected cases of meningitis in adult patients at Rural Hospital
Authors Name: Dr Aditya Bondar , Dr Shreyans Amin , Dr.Suryakant Dongre , Dr Ravindra R Karle
Unique Id: IJSDR2211050
Published In: Volume 7 Issue 11, November-2022
Abstract: Abstract Introduction : The term Meningitis is used to describe an inflammatory infection of the membranes surrounding the brain and spinal cord, which occurs as either a primary disease or secondarily to disease in some other part of the body. The diagnosis is primarily confirmed by analyzing cerebrospinal fluid (CSF). Early diagnosis of the cause may be based on the cytological, biochemical parameters, Gram stain, ZN stain and KOH preparation. Materials and Methods: This is a Descriptive cross sectional study which was carried out from January 2022 to June 2022 in Central Clinical Laboratory (CCL), Dr.BVPRMC, Loni. The study included adult patients (>14 Years) who have clinical symptoms of headache, neck stiffness, photophobia, fever, rashes, seizures and CSF sent to the CCL. Results: The study showed 28 cases of bacterial meningitis. 37 cases of viral meningitis, 1 case of fungal meningitis and other 32 cases were showing normal CSF findings. All types of meningitis were more common in males. Viral meningitis was common in younger age group. Bacterial meningitis TLC count varied from 5 to 1000/cumm while viral meningitis count varied from 5 to 30/cumm. In viral meningitis all cases showed lymphocytosis. In bacterial meningitis glucose level was found much lower than that of viral meningitis. Proteins were increased in all meningitis. Gram stain and culture were positive in 27 of 28 case of bacterial meningitis. 1 bacterial meningitis case was diagnosed on the basis of TLC, DLC and Glucose level. Conclusion: CSF Findings are useful in identifying meningitis and differentiating it into bacterial, viral, fungal and tuberculous cause.
Keywords: Key Words: CSF, Meningitis , Bacterial , Viral.
Cite Article: "CSF Analysis in suspected cases of meningitis in adult patients at Rural Hospital", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.312 - 315, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211050.pdf
Downloads: 000150694
Publication Details: Published Paper ID: IJSDR2211050
Registration ID:202524
Published In: Volume 7 Issue 11, November-2022
DOI (Digital Object Identifier):
Page No: 312 - 315
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview

Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media

Indexing Partner