Joint Modeling in Detecting Predictors of CD4 Cell Count and Status of Tuberculosis Among People Living with HIV/AIDS Under HAART at Felege Hiwot Teaching and Specialized Hospital, North-West Ethiopia

Predictors of quality of life of TB/HIV co-infected patients in the Northern region of Ghana

BACKGROUND

Tuberculosis (TB) and human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) co-morbidity continues to be a serious worldwide health issue, particularly in Sub-Saharan Africa. Studies on the quality of life (QOL) of TB/HIV co-infected patients guide stakeholders on the delivery of patient-centred healthcare. This study evaluated QOL of TB/HIV co-infected individuals and its contributing factors.

METHODS

We conducted a cross-sectional study among TB/HIV co-infected patients, receiving treatment at clinics in the Northern Region of Ghana. Simple random sampling technique was used to select 213 patients from 32 clinics. We gathered information on patients' QOL using the World Health Organization QOL-HIV BREF assessment tool. At a 5% level of significance, multiple logistic regression analyses were carried out to find correlates of QOL among the patients.

RESULTS

The mean age of the patients was (38.99 ± 14.00) years with most, 33.3% (71/213) aged 30-39 years. Males constituted 54.9% (117/213). About 30.0% (64/213) of the patients reported a good QOL. Being employed (aOR = 5.23, 95% CI: 1.87 - 14.60), and adhering to treatment (aOR = 6.36, 95% CI: 1.51 - 26.65) were significantly associated with a good QOL. Being depressed (aOR = 0.02, 95% CI: 0.03 - 0.29), stigmatized (aOR = 0.31, 95% CI : 0.11 - 0.84), and not exercising (aOR = 0.28, 95% CI: 0.12 - 0.67) were negatively associated with a good QOL.

CONCLUSION

Less than one-third of TB/HIV co-infected patients in the region have good QOL. To guarantee good QOL, modifiable predictors such as patients' physical activity and medication adherence should be targeted by the National AIDS and TB Control Programs.

Predictors for CD4 cell count and hemoglobin level with survival time to default for HIV positive adults under ART treatment at University of Gondar Comprehensive and Specialized Hospital, Ethiopia

BACKGROUND

HIV/AIDS is the most known powerful risk factor for morbidity and mortality in the world. The greatest biological markers in HIV patients are CD4 cell count and hemoglobin level, as they are independent predictors of survival of HIV patients. The objective of this study was to investigate the common socio-demographic, clinical, and behavioral Predictor's affecting the CD4 cell count, and hemoglobin level with survival time to default from ART treatment among HIV positive adults under ART treatment at university of Gondar comprehensive and specialized hospital, North-west Ethiopia.

METHOD

This study was conducted at University of Gondar comprehensive specialized hospital by using a retrospective cohort follow up study design. The source of data in this study was secondary data obtained from patients chart. Bayesian joint models were employed to get wide-ranging information about HIV/AIDS progression.

RESULT

From a total of 403 HIV positive adults, about 44.2% were defaulted from therapy and the rest were actively followed ART treatment. The estimate of the association parameter for the current true value of CD4 cell count ([Formula: see text]), and hemoglobin level ([Formula: see text]), trend of CD4 cell count ([Formula: see text]) and hemoglobin level ([Formula: see text]) is positive. Positive values indicating that the higher CD4 cell count and hemoglobin level is related with the higher time of defaulting from ART. Predictor's hematocrit, weight, platelet cell count, lymphocyte count, sex, adherence, and WHO clinical stage were joint determinate risk factors affecting CD4 cell count, hemoglobin level and time to default at 5% level of significance.

CONCLUSION

Current study results revealed that hematocrit, weight, BMI, platelet cell count, lymphocyte count, sex (female), and good treatment adherence were significantly associated with higher CD4 cell count, hemoglobin level and time to default while having advanced WHO clinical stage-IV had significantly decreased CD4 cell, hemoglobin level, and time to default from treatment. Patients with HIV should be given special attention based on these important factors to improve their health and prolong their lives.

Tuberculosis and isoniazid prophylaxis among adult HIV positive patients on ART in Northwest Ethiopia

Background

Although antiretroviral therapy (ART) can avert tuberculosis (TB) incidence among human immunodeficiency virus (HIV) infected patients, the concomitant use of ART with isoniazid (INH) has a paramount effect. Despite this evidence, there is a paucity of data regarding TB incidence among HIV patients on ART with and without isoniazid prophylaxis and its predictors. Thus, this study sought to assess the incidence and predictors of TB among adult HIV positive patients on ART.

Methods

This was a hospital based retrospective study including 368 adult HIV positive patients on ART in Gondar comprehensive specialized hospital between January 1, 2016, and April 30, 2019. Data was extracted from clinical laboratory and HIV care ART follow up clinic. The bi-variable and multivariable regression models were used to ascertain predictors of incident TB. Data was analyzed using SPSS version 20 software.

Results

A total of 335 adult HIV positive patients were included in the analysis, of whom, 56 (16.7%) were developed incident TB. Being ambulatory and bedridden (AOR: 2.2, 95% CI: 1.1, 4.6), advanced WHO clinical HIV disease stage (III and IV) (AOR: 3.2, 95% CI: 1.6, 6.1), not taking INH (AOR: 2.8, 95% CI: 1.3, 5.9), and baseline CD4+ T cell count ≤ 200 cell/mm3 (AOR: 3.6, 95% CI: 1.8, 7.2) were found to be the predictors of tuberculosis incidence.

Conclusion

The study indicated a high TB incidence among HIV positive patients in Gondar. Therefore, scaling up the isoniazid preventive therapy program and its strict compliance is necessary to avert HIV fueled tuberculosis in HIV endemic areas.