Demographic Profile and Clinical Features of Admitted HIV Positive Patients and their Correlation with CD4 Counts in a North India Tertiary Care Hospital.

ABSTRACT

Background: HIV Infections continues to be a burden globally and presents serious public health problems in the developing countries, especially in India. Aims and objectives: To study the demographic profile and clinical features of HIV positive admitted patients and to evaluate the correlation of clinical features with their CD4 counts. Methods: The present study was conducted to assess the socio-demographic profile and clinical features of 150 HIV+ve /AIDS patients admitted in various wards of Department of Medicine, Rajindra Hospital, Patiala from September 2013 to October 2015. For these patients a preformed questionnaire was prepared to enquire about socio-demographic characteristics such as age, sex, literacy status, marital status, occupation and socio-economic status. Thorough clinical examination was performed and correlation of clinical features with CD4 counts was evaluated using Pearson Coefficient of correlation. Results: The results of study showed that the most common age group affected was 26-45 years (56%). Male patients were 69.3% and females constituted 30.7%. Most common mode of transmission was heterosexual (73.3%), followed by intravenous drug abuse (6.7%), unsafe injections/needle stick injury (4.6%), blood transfusion (2.7%), 8% were both HS and IDU and transmission was unknown in 2.7%. The common presenting symptoms in admitted HIV patients were fever (71.3%), weight loss (50%), night sweats (39.3%), dry cough (36%), anaemia (32%), cough with expectoration (26%), lymphadenopathy (24%), shortness of breath (22%), chest pain (20.7%),diarrhoea (15.3%) and mouth ulcers (8.7%). Others were, headache (10.7%), haemoptysis (10%), icterus (6.7%), change of voice (4%), altered sensorium (14%) and neurological deficit (7.3%). 16 patients had pulmonary and 13 had extra pulmonary tuberculosis. It was also found that most patients (52%) had CD4 count in range of 200-500, with mean CD4 count of 282.61 + 14.31 cells/cmm at time of presentation. The frequency of these symptoms increased with fall in CD4 count indicating negative correlation. Conclusion: A thorough knowledge of the demographical & clinical profile of admitted patients will go a long way in managing resources and planning management of these patients. This will serve as a great step in achieving zero deaths as envisaged by NACO.