Epidemiology (article analyses) Case Study Example | Topics and Well Written Essays - 500 words

Epidemiology (article analyses) - Case Study instanceThe aims of the study were to estimate the impact of these risk factors among human immunodeficiency virus-infected population as compared to the general population and to determine the copulation risk death among successfully treated HIV-infected patients without such risk factors (Obe et al, 2011).The sampling frame was based on all Danish HIV-infected patients who started HAART in the period 1 January 19981 July 2009 while the comparison age bracket consisted of individuals matched on date of birth and gender. Only patients who had been on HAART for a period of one social class were included in the study.A major finding of the study was that hazard of survival from age 25 to age 65 was substantially lower in HIV patients confidence interval compared to the comparison age bracket. thither was a signifi kindlet increase in mortality among HIV-infected patients aged 25-65 as compared to the comparison cohort. However, among pat ients not undecided to the three risk factors under consideration, mortality was almost equal to that of the general population comparison cohort for the age group 4565 but doubled for the age group 2545. The hazard of survival at 65 years of age was 0.48 among HIV-infected patients and 0.88 in HIV-free group. However, for HIV patients with no risk factors, the probability of survival at age 65 was 0.86. Generally, it was observed that risk-taking behavior does not automatically result in increased mortality among HIV-patients without other risk factors.The study improves onto the general thought that proper management of HIV can substantively reduce mortality rates among HIV-infected persons. However, cormobidity as well as other risk factors as well as alcohol/drug abuse can increase mortality in HIV-infected patients on HAART. In conclusion, although HIV-infected patients on HAART still have higher mortality rates, the presence of other risk-factors, which can be identified ear ly, further inflate this risk. Consequently,