Factors associated with the level of CD4 cell counts at HIV diagnosis in a French cohort: a quantile regression approach

Predictors of Current CD4+ T-Cell Count Among Women of Reproductive Age on Antiretroviral Therapy in Public Hospitals, Southwest Ethiopia

Background

HIV/AIDS is one of the major global public health problems. CD4 is a glycoprotein found on the surface of different immune cells. CD4 cell counts determine the need for screening and prophylactic interventions against common opportunistic infections in those with advanced HIV disease. Thus, this study aimed to assess the predictors of current CD4⁺ T-cell count among women of reproductive age on antiretroviral therapy in public hospitals, southwest Ethiopia.

Methods

A cross-sectional study was conducted from February to April 2018. A total of 422 participants in the three public hospitals were selected using a systematic random sampling method. Linear regression analyses were used to determine the important predictors of current CD4⁺ T-cell count at p-values of <0.05.

Results

A total of 422 women with a median age of 37.00 years participated in this study. More than one in ten (12.8%) respondents experienced immunological failure. An increased current CD4⁺ T-cell count was observed among patients with a tertiary level of education [β = 56.45, 95% CI (3.5, 109.4)], baseline WHO clinical stage II [β = 44.06, 95% CI (5.3, 82.9)], initial regimen of AZT+3TC+EFV [β = 167.23, 95% CI (100.4, 234.1)], with increased baseline CD4⁺ T-cell count [β = 0.35, 95% CI (0.2, 0.5)], and with increased time duration on ART [β = 14.36, 95% CI (6.304, 22.4)]. On the other hand, the current CD4⁺ T-cell count was lowered among patients with poor baseline adherence, opportunistic infection, and viral load of ≥1000 by 181.06 cells/mm³, 101.62 cells/mm³, and 137.53 cells/mm³ compared to good baseline adherence, no opportunistic infection and undetectable viral load, respectively.

Conclusion

The immunological failure was relatively low. Maintaining adherence, early identification and treatment of opportunistic infections, and minimizing viral load to undetectable levels may further decrease immunological failure.

Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models

Objective

CD4 Lymphocyte Count (CD4) is a major predictor of HIV progression to AIDS. Exploring the factors affecting CD4 levels may assist healthcare staff and patients in management and monitoring of health cares. This retrospective cohort study aimed to explore factors associated with CD4 cell counts at the time of diagnosis in HIV patients using Poisson, Generalized Poisson, and Negative Binomial regression models.

Results

Out of 4402 HIV patients diagnosis in Iran from 1987 to 2016, 3030 (68.8%) were males, and the mean age was 34.8 ± 10.4 years. The results indicate that the Negative Binomial model outperformed the other models in terms of AIC, log-likelihood and RMSE criteria. In this model, factors include sex, age, clinical stage and Tuberculosis (TB) co-infection were significantly associated with CD4 count (P < 0.05).

Conclusion

Given the effect of age, sex, clinical stage and stage of HIV on CD4 count of the patients, adopting policies and strategies to increase awareness and encourage people to seek early HIV testing and care is advantageous.

Risk factors for late HIV diagnosis in the East of England: evidence from national surveillance data and policy implications

In 2014, 42% of all HIV diagnoses in the East of England were diagnosed late. Individuals unaware of their HIV status will not benefit from lifesaving and infectious-limiting antiretroviral therapy, and they remain at risk of decreased life expectancy and onward transmission of HIV. We sought to identify risk factors associated with late HIV diagnosis in the East of England to inform future HIV testing and prevention strategies relevant to the local population. Data on all HIV infected individuals aged ≥16 years and diagnosed between 2008 and 2014 in the East of England were obtained from the national HIV and AIDS Reporting System. Late diagnosis was defined as CD4 cell count below 350 cells/mm³ within 91 days of diagnosis. Logistic regression investigated risk factors for late HIV diagnosis. A total of 2469 people were included; 1342 (54%) were late HIV diagnoses. In multivariable analysis risk factors for late diagnosis were: age ≥30 years, originating from WHO regions of South-East Asia or Europe (excluding UK), heterosexual orientation and being diagnosed as an inpatient or by a general practitioner. The odds of late diagnosis significantly reduced every year (OR 0.95, 95% CI 0.90-0.99, p = 0.042). Despite this year-on-year reduction continued high rates suggest future HIV testing and prevention strategies should be informed by local regional epidemiology to allow those at greatest risk to be targeted appropriately.