HIV and Malaria Infections and Associated Risk Factors Among Febrile Illness Patients in Northwest Ethiopia

Wondimeneh, Yitayih; Gebrecherkos, Teklay; Muluye, Dagnachew; Damtie, Demekech; Ferede, Getachew

doi:10.5152/tpd.2018.5878

Cited by 7 publications

(9 citation statements)

References 13 publications

(17 reference statements)

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“…Hence, 23, 000 people are newly infected with HIV and 11,000 people are died because of AIDS related illness in [2]. Among all people living with HIV, 81% of them were on treatment and 73% of them are virally suppressed, 79 % knew their status, 65% are on treatment [3].…”

Section: Introductionmentioning

confidence: 99%

“…Of all adults aged 15 years and over living with HIV, 66% are on treatment [2]. Ninety-two percent of pregnant women in the country are living with HIV accessed antiretroviral medicine to prevent transmission of the virus to their baby.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the amount of CD4 cell count provides a picture of immune system health with higher CD4 cell counts typically signifying healthier immune systems [9]. Naturally, children are born with high CD4 cell counts, which decrease slowly through adolescence and then plateau [2].…”

Section: Introductionmentioning

confidence: 99%

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Socio-demographic and Clinical Variables associated with the variation of CD4 Cell Count and Body Mass Index (BMI) for HIV Positive adults receiving HAART, a joint longitudinal data analysis

Tegegne¹,

Ndlovu²,

Zewotir³

2020

Preprint

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Objective The rate of prevalence of HIV/AIDS among adults has been increasing in Sub-Sahara African countries over the last decade. Currently, an estimated number of 722, 248 people are living with HIV, 23, 000 people are newly infected with HIV and 11,000 people are died because of AIDS related illness. The purpose of this study was to identify the most significant variables associated with the variation of CD4 cell count and body mass index (BMI) of HIV positive adults who initiated HAART at Felege Hiwot Teaching and Specialized Hospital, North-West Ethiopia. Methods To analyze the long-term CD4 cells count and body mass index of HIV infected adults, a prospective follow-up study of 792 HIV-infected patients was performed. A joint model was employed to identify the variables associated with the variation of CD4 cell count and body mass index of adults receiving HAART. A random of 792 samples was taken among charts in the hospital. Results Among the main effects, Socio-demographic variables (Level of education, level of exposedness of disease to persons living together, Marital status and residence area), individuals characteristics (age and weight), economic factors (ownership of cell phone, level of income), clinical factors (baseline CD4 cell count), level of retention (time to follow ups, food and medical adherence) and economic factors(owner of cell phone) significantly affected the variables of interests. Similarly, the interaction effects of time of follow-up visits * cell phone ownership, follow-up visits * gender, age * sex significantly affected both response variables through a linear link function in current investigation. Conclusion Socio-demographic, individual and Clinical variables had significant effect on CD4 cell count and BMI in HAART medication program. Time to follow ups in the HAART program had also direct and significant effect on the variables of interest.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Socio-demographic and Clinical Variables associated with the variation of CD4 Cell Count and Body Mass Index (BMI) for HIV Positive adults receiving HAART, a joint longitudinal data analysis

Tegegne¹,

Ndlovu²,

Zewotir³

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The prevalence of HIV among adults was 1%. Hence, 23, 000 people were newly infected with HIV and 11,000 people were died because of AIDS related illness in 2018 [2].…”

Section: Introductionmentioning

confidence: 99%

Socio-Demographic and Clinical Predictor Variables on CD4 Cell Count Change among HIV Positive adults; a Structural Equations Modelling

Tegegne

Ndlovu²,

Zewotire³

2020

Preprint

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Background: The prevalence of HIV/AIDS among adult individuals has been increasing in Sub-Sahara African countries over the last decade. In Ethiopia , the prevalence of HIV among adults was 1%. Hence, 23, 000 people were newly infected with HIV and 11,000 people were died because of AIDS related illness in 2018. The purpose of this study was to identify the most significant socio-demographic, economic, individual and clinical determinants of CD4 cell count change in HIV positive adults who initiated HAART at Felege Hiwot Teaching and Specialized Hospital, North-West Ethiopia. Methods: A secondary and retrospective study design was conducted on 792 HIV positive adults. A structural equation modeling was employed to identify the socio-demographic and clinical covariates that have a statistically significant effect on the status of CD4 cell count change. Results: Literate patients, patients living with partner, patients living in urban area, patients disclosed the disease to family members, high income , ownership of cell, age and sex (male) were statistically significant variables. Conclusion: There was direct relation between socio-demographic variables with retention of HIV positive individuals in HAART program. There was also a direct and significant effect of clinical variables on adherence competence and adherence on CD4 cell change. Retention of patients in the HAART program had direct and significant effect on CD4 cell count change. This finding will be important for policy makers, health officials and for patients to easier access to healthcare service. Keywords: Socio-demographic, clinical factors, individual characteristics, Structural equation, CD4count change

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“…In Ethiopia, about 722 248 people are living with HIV and the prevalence of HIV among adults is 1%. Hence, 23, 000 people are newly infected with HIV and 11,000 people are died because of AIDS related illness [2]. Among all people living with HIV, 81% of them are on treatment [3].…”

mentioning

confidence: 99%

Socio-demographic and Clinical Variables associated with the variation of CD4 Cell Count and Body Mass Index (BMI) for HIV Positive adults receiving HAART, a joint longitudinal data analysis

Tegegne

Ndlovu

Zewotir³

2020

Preprint

View full text Add to dashboard Cite

Background: The rate of prevalence of HIV among adults has been increasing in Sub-Sahara African countries over the last decade. Currently, an estimated number of 722, 248 people are living with HIV, 23, 000 people are newly infected with HIV and 11,000 people are died because of AIDS related illness. The objective of this study was to identify the most significant variables associated with the variation of CD4 cell count and body mass index (BMI) of HIV positive adults who initiated HAART at Felege Hiwot Teaching and Specialized Hospital, North-West Ethiopia. This study also aimed to compared the precision of parameter estimates conducted by separate and joint models.Methods: To analyze the long-term CD4 cells count and body mass index of HIV infected adults, a cohort longitudinal study of 792 HIV-infected patients was performed. A joint model was employed to identify the variables associated with the variation of CD4 cell count and body mass index of adults receiving treatment at Felege Hiwot Teaching and specialized Hospital. A random of 792 samples was taken among patients using individual charts in the hospital.Results: Among the main effects, Socio-demographic variables (Level of education, level of disclosure of the disease to persons living together and Marital status ), individuals factors(age, weight and gender), economic factors (ownership of cell phone, level of income), clinical factors (baseline CD4 cell count) retention (food and medication adherence, follow-up time/visit) significantly affected the variables of interests. Similarly, the interaction effects of follow-up times/visits * cell phone ownership, follow-up times/visits * gender, age * gender of patients significantly affected both response variables in current investigation.Conclusion: Socio-demographic, individual and Clinical variables had significant effect on CD4 cell count and BMI in HAART medication program. Follow-up time/visit in the HAART program had also direct and significant effect on the variables of interest. Older HIV patients should be targeted by appropriate public health actions, such as opportunistic screening and easier access to healthcare service. The patients should be advised to disclose the disease to get support from communities around them.

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HIV and Malaria Infections and Associated Risk Factors Among Febrile Illness Patients in Northwest Ethiopia

Cited by 7 publications

References 13 publications

Socio-demographic and Clinical Variables associated with the variation of CD4 Cell Count and Body Mass Index (BMI) for HIV Positive adults receiving HAART, a joint longitudinal data analysis

Socio-demographic and Clinical Variables associated with the variation of CD4 Cell Count and Body Mass Index (BMI) for HIV Positive adults receiving HAART, a joint longitudinal data analysis

Socio-Demographic and Clinical Predictor Variables on CD4 Cell Count Change among HIV Positive adults; a Structural Equations Modelling

Socio-demographic and Clinical Variables associated with the variation of CD4 Cell Count and Body Mass Index (BMI) for HIV Positive adults receiving HAART, a joint longitudinal data analysis

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