Advertisement!
Author Information Pack
Editorial Board
Submit article
Special Issue
Editor's selection process
Join as Reviewer/Editor
List of Reviewer
Indexing Information
Most popular articles
Purchase Single Articles
Archive
Free Online Access
Current Issue
Recommend this journal to your library
Advertiser
Accepted Articles
Search Articles
Email Alerts
FAQ
Contact Us
Indian Journal of Pathology: Research and Practice

Volume  8, Issue 4, July-August 2019, Pages 465-470
 

Original Article

Correlation of Absolute Lymphocyte Count and CD4 Counts in HIV Infected Patients at a Tertiary Care Institute

Neha Singh1, Kalpana Kumari MK2

1Post Graduate 2Associate Professor, Department of Pathology, M.S. Ramaiah Medical College & Hospitals, Bangalore, Karnataka 560054, India.

Choose an option to locate / access this Article:
60 days Access
Check if you have access through your login credentials.        PDF      |
|

Open Access: View PDF

DOI: DOI: http://dx.doi.org/10.21088/ijprp.2278.148X.8419.14

Abstract

Introduction: In HIV infected individuals, CD4 T cell counts along with viral load remains the mainstay for assessing the immune status and for clinical management. As these tests are expensive and not easily available, absolute lymphocyte count (ALC) has been suggested to reflect the CD4 counts. This can then be used to predict the immune status for initiation of chemoprophylaxis for opportunistic infections in resource limited settings. Objectives: This study was undertaken to evaluate ALC as an alternative marker for CD4 counts in HIV infected patients and to assess its clinical utility. Materials and Methods: Haematological parameters and CD4 counts for all HIV positive cases from January 2016 to August 2018 was assessed. The Beckman Counter FC 500 flow cytometer was used for CD4 counts and Sysmex XE 2100 for haematological profile. Spearman correlation and receiver operating curve (ROC) were used for calculating sensitivity, specificity and positive predictive values. Results: Sensitivity, specificity and positive predictive value of ALC < 1200 cells/µl to predict CD4 < 200 cells/µl, was found to be 92%, 53% and 64% respectively. There is a positive correlation between CD4 count and ALC of 0.655 which is statistically significant (p < 0.05). Conclusion: Our data shows a good correlation between ALC and CD4 cell counts, with ALC < 1210 cells/µl cut off to have the maximum sensitivity for predicting CD4 count < 200 cells/µl. Hence, ALC can be considered as an economical and easily available substitute in prediction of low CD4 counts.

Keywords: Absolute lymphocyte count; CD4 counts; HIV.


Corresponding Author : Kalpana Kumari MK