A STUDY OF HAEMATOLOGICAL MANIFESTATIONS IN HIV POSITIVE PATIENTS- CORRELATION WITH CD4 COUNT
Journal Title: Journal of Evolution of Medical and Dental Sciences - Year 2019, Vol 8, Issue 19
Abstract
BACKGROUND HIV infection is a multisystem disease and haematological abnormalities are among the most common complications of HIV. HIV associated haematological abnormalities seem to be dependent on the level of virus replication, as these abnormalities are severe in late stage AIDS patients with high viremia.1,2 These abnormalities reflect the underlying immune status and may be prevented or corrected by use of highly active antiretroviral therapy (HAART). Haematological abnormalities such as impaired haematopoiesis, immune and non-immune mediated cytopenias, and altered coagulation have been described in patients with HIV infection/AIDS. We wanted to evaluate the various haematological parameters in HIV patients and their association with CD4 counts. METHODS One hundred HIV positive patients, symptomatic as well as asymptomatic, diagnosed by enzyme-linked immunosorbent assay (ELISA) method according to the National AIDS Control Organization (NACO) guidelines were included. Complete haematological profile was recorded. Relationship between CD4 counts and various haematological parameters were analysed. Association between two attributes was calculated and p value of less than 0.05 was considered statistically significant. RESULTS The most common haematological abnormality was anaemia, seen in 93% (n=93) of patients. Normocytic normochromic anaemia was seen in 42% of patients, which was the most common type followed by normocytic hypochromic in 25 (25%) cases. A strong association between anaemia and CD4 counts was observed. Other haematological parameters also showed corresponding low values with decreasing CD4 counts. CONCLUSIONS HIV affects virtually all organ systems, with well-known abnormalities related to hematopoietic system. Anaemia being the most common abnormality has strong correlation with CD4 counts and therefore could be used to predict the development of a more advanced disease.
Authors and Affiliations
Madhu Balla, Vijay Kumar, Koul K. K
Keywords
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- EP ID EP617594
- DOI 10.14260/jemds/2019/343
- Views 72
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