Renal Function Evaluation of HAART and HAART-Naïve HIV/AIDS Patients in Makurdi, Nigeria
Received 13 Apr, 2022 |
Accepted 22 Aug, 2022 |
Published 01 Oct, 2022 |
Background and Objective: Antiretroviral (ART) drugs have been suspected to impair renal function and there appears to be a paucity of data on renal function amongst Human Immunodeficiency Virus (HIV) positive patients in Nigeria/West Africa. Therefore, this study was to assess the effect of HAART on renal function in HIV-positive patients and to determine the prevalence of the renal disease among these patients in Makurdi, North-Central, Nigeria. Materials and Methods: This cross-sectional study conducted between May, 2017 and July, 2018 assessed the renal function of patients distributed into four groups, group 1 (HIV positive HAART naïve patients = 60 subjects), group 2 (HIV positive patients on HAART for 0-2 years = 60 subjects), group 3 (HIV positive patients on HAART for >2 years = 60 subjects) and group 4 (HIV negative patients (control group) = 60 subjects). Data were analyzed using IBM SPSS Version 21. Values of p<0.05 were considered significant. Results: Out of the 240 participants in the study sub-divided into 4 groups, 60 were HIV negative and 180 were HIV positive. Of the 180 HIV positive patients, 75.8% were females and 24.2% were males. The findings revealed a significant decrease in body weight and CD4 counts of HIV positive patients in comparison with the control group. There was no significant difference between the Creatinine Clearance (eCrCl) of the HIV positive HAART naïve patients (106.40±36.97 mL min‾1), HIV positive patients on HAART for 0-2 years (104.70±34.09 mL min‾1) and HIV positive patients on HAART for >2 years (99.97±36.26 mL min‾1) and the control (HIV negative = 108±22.13 mL min‾1). Prevalence of renal impairment for HIV/AIDS-HAART naïve patients was 5% and 7.5% for HIV/AIDS on HAART for 0-2 years and >2 years. Conclusion: The prevalence of renal impairment among HIV-positive study participants was minimal and may not be linked to the HAART regimen.
Copyright © 2022 Uzoigwe et al. This is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
INTRODUCTION
Acquired Immunodeficiency Syndrome (AIDS) is a spectrum of disease states characterized by progressive immunosuppression, it results from infection with the Human Immunodeficiency Virus (HIV). Since the beginning of the epidemic, over 75 million people have been infected with HIV, about over 36 million people have died of HIV and more than 35 million are living with HIV globally1. Sub-Saharan Africa remains most severely affected, with about two-thirds of recent global HIV infections and accounting for nearly 70% of HIV mortality worldwide2.
Nigeria is third in ranking among nations with the highest HIV prevalence in the world3. Although HIV prevalence among adults is remarkably small (1.4%) compared to other Sub-Saharan African Countries: Such as South Africa (19.2%) and Zambia (12.9%), the size of Nigeria’s population connotes about 1.7 million people were living with HIV in 20204,5. Globally, approximately 1 million people died from AIDS-related illnesses in 20174,5. An estimated 60% of new HIV infections in Western and Central Africa in 2015 occurred in Nigeria, together with South Africa and Uganda, Nigeria accounts for almost half of all new HIV infections in Sub-Saharan Africa every year. This is despite achieving a 35% reduction in new infections between 2005 and 2013. Unprotected heterosexual sex accounts for 80% of new HIV infections in Nigeria, with the majority of remaining HIV infections occurring in key affected populations such as Female Sex Workers (FSW), People Who Inject Drugs (PWID) and men who have sex with men (MSM)4. HIV prevalence is higher among females (1.9) than males (0.9), regionally, it is highest in Nigeria’s South-South zone and stands at 3.1%. It is also high in the North-Central zone (2.0%) and lowest in the Northwest zone where there is a prevalence of 0.6%. There are higher rates of HIV in rural areas (4%) than in urban ones (3%)4,5. Presently the new national prevalence rate of HIV in Nigeria is 1.4%, Benue State is the 2nd with a prevalence of 4.9%.
The common HIV comorbidities are cardiovascular diseases, Chronic Kidney Disease (CKD), diabetes, cancer, dyslipidemia, hepatitis B and hepatitis C6. However, with the increased life expectancy of the affected individuals due to drug therapy, kidney diseases have emerged as the possible cause of morbidity and mortality. Chronic Kidney Disease (CKD) constitutes a serious health concern globally and it is a rising challenge in low-and-middle-income countries with approximately 17 million Nigerians having various stages of CKD7. Infection with HIV has been associated with many types of renal diseases including acute renal failure, acute tubular necrosis and HIV-Associated Nephropathy (HIVAN) which may progress to End-Stage Renal Disease (ESRD)6,8-10. In addition to HIV infections, black race, older age, HAART use, hypertension, diabetes, low CD4 cell count and high viral load remained important risk factors for kidney disease11. Some antiretroviral agents (e.g., nucleotide reverse-transcriptase inhibitors such as tenofovir, protease inhibitors such as indinavir) can cause serious side effects that affect multiple systems, including the kidneys10. Approximately about 1,500,000 people living with HIV in Nigeria are on ART4 and it is imperative to evaluate the effect of its use on patients.
Because of these, this study was designed to assess the effect of HIV/AIDS and HAART regimen on renal function and also stress the importance of determination of renal function before and after initiation of HAART.
MATERIALS AND METHODS
Study site: The study was conducted in Bishop Murray Medical Centre Makurdi, Nigeria. It is a secondary hospital that treats HIV-positive patients from Benue State and its neighbouring states such as Nasarawa and Taraba States.
Study design: The study adopted a cross-sectional design.
Study population: Patients attending the ART/HIV Clinic at Bishop Murray Medical Centre Makurdi, Benue State is the State with the second highest prevalence (4.9%) of HIV/AIDS in Nigeria5. There are about 5000 adult patients in the ART/HIV Clinic at Bishop Murray Medical Centre Makurdi in 2016/17 and about 200 HIV patients are seen daily at the ART outpatient clinic. HIV-infected individuals seen for routine clinical visits were enrolled within 0-2 years, more than 2 years and newly diagnosed HAART naïve patients.
Study duration: The study was conducted between 2nd May, 2017 and 31st July, 2018.
Eligibility criteria: The study eligibility criteria included newly diagnosed ART patients that have not commenced HAART and those who are already on ART treatment (between 20 and 49 years). Age and sex match HIV-negative participants were recruited from the same centre to serve as the control.
Patients known to have acute or chronic kidney disease, taking nephrotoxic drugs, pregnant, or known to have diabetes mellitus, known to be hypertensive, HBsAg +ve, HCV Ab +ve, were excluded from the study.
Outcome measures: Serum creatinine and creatinine clearance were the primary outcome measures. Other outcome measures included the CD4 count, duration of HAART intake, lifestyle and race.
Sample size estimation: To estimate the sample size, the formula12:
N | = |
Sample size |
Z | = |
1.96 critical value at 95% level of confidence |
P | = |
Proportion of renal insufficiency |
P | = |
3.5%13 |
q | = |
1-P |
d | = |
Precision = 0.05 |
Attrition = 10% of the sample size13= 5.2
Therefore, N = 52+5.2 = 57.2, N = Approximately 60
Total number of subjects = 60×4 = 240
Group 1 = HIV +ve HAART naïve patients = 60 subjects
Group 2 = HIV +ve patients on HAART for 0 to 2 years = 60 subjects
Group 3 = HIV +ve patients on HAART for >2 years = 60 subjects
Group 4 = HIV –ve patients (control group) = 60 subjects
Study procedure
Clinical, social demographic and anthropometric measurements: Clinical and Social Demographic characteristics were obtained from the 4 groups. Anthropometric measurements such as weight were measured. Data of special interest such as, medical records of kidney disease and factors known to contribute to kidney disease, known systemic complications, as well as, treatment regimen status were collected using a standardized questionnaire or data sheet format. Analog scale with kg reading was used to measure the weight of study subjects. Blood pressure of the subjects was measured according to the WHO recommendation using a sphygmomanometer. Both systolic and diastolic blood pressure measurements were taken in units of millimetre mercury (mm Hg).
Blood sample collection and handling: Blood samples were obtained from newly diagnosed ART patients that have not commenced HAART and from those who are already on ART treatment. The HIV negative individuals (control groups) were also enrolled. Non-fasting venous blood (5.0 mL) was collected by research assistants (trained professionals) from each participant. The blood sample was dispensed into jell coated serum separatory test tube and centrifuged at 3500 revolutions per minute (rpm) for 10 min for the separation of the serum. Serum creatinine was gotten (using Roche/Hitachi 902 analyser, Germany). In addition, creatinine clearance and eGFR were calculated from serum creatinine, age, sex and weight of the study participants.
Determination of creatinine clearance: Creatinine clearance was calculated from the patient’s sex, age and serum creatinine using Cockcroft and Gault formula14:
Calculation: Cockcroft and Gault normalized
CrCl | = | Creatinine clearance in mL min–1 |
Age is in years, weight is in kilograms and SCr is serum creatinine in mg dL–1.
CD4+ T cell count tests: The CD4+ T cell count tests were determined by BD Fluorescence-Activated Cell Sorting (FACS) count version 1.0 01/08 machine.
Statistical analysis: Data were presented as Mean±Standard deviation and differences between groups were compared using Analysis of Variance (ANOVA). All statistical analysis was performed using IBM SPSS Version 21.0. Values of p<0.05 were considered significant.
Ethical consideration: Ethical clearance for the study was obtained from the Bishop Murray Medical Centre Ethical Committee with Approval Reference number: 062/07/17.
RESULTS
Demographic classification of patients: A total of 240 patients attending the ART/HIV Clinic at Bishop Murray Medical Centre Makurdi who met the eligibility criteria participated in the study. The 240 participants were sub-divided into four study groups, 60 (25%) were HIV negative, 60 (25%) were newly diagnosed HIV positive HAART naïve patients, 60 (25%) were HIV positive patients on HAART for 0-2 years and 60 (25%) were HIV positive patients on HAART for >2 yearrs. About 24.2% (58) of the study population were males while 75.8% (182) were females representing a higher proportion of females, females represented 75.6% of HIV-infected patients and males represented 24.4% of HIV-infected patients.
Table 1: | Clinical characteristics of the study subjects (= 240) |
Characteristics | HIV -ve |
HIV +ve (newly diagnosed, HAART naïve) |
HIV +ve (on HAART for 0-2 years) |
HIV +ve (on HAART for >2 years) |
Total |
Numbers | (n = 60) |
(n = 60) |
(n = 60) |
(n = 60) |
(n = 240) |
Sex | |||||
Male | 14 (23.3%) |
17 (28.3%) |
9 (15.0%) |
18 (30.0%) |
58 (24.2%) |
Female | 46 (76.7%) |
43 (71.7%) |
51 (85.0%) |
42 (70.0%) |
182 (75.8%) |
Age category (years) | |||||
20-29 | 32 (53.3%) |
17 (28.3%) |
18 (30.0%) |
28 (46.7%) |
95 (39.6%) |
30-39 | 12 (20.0%) |
30 (50.0%) |
29 (48.3%) |
18 (30.0%) |
89 (37.1%) |
40-49 | 16 (26.7%) |
13 (21.7%) |
13 (2.7%) |
14 (23.3%) |
56 (23.3%) |
Table 2: | Anthropometric measurements and CD4 count (Mean±SD) in the study population |
HIV -ve |
HIV +ve (newly diagnosed, HAART naïve) |
HIV +ve (on HAART for 0-2 years) |
HIV +ve (on HAART for >2 years) |
|
Age (years) | 32.33±7.22 |
33.45±7.24 |
33.80±7.18 |
31.93±8.25 |
Body weight (kg) | 72.03±7.52 |
60.72±12.79* |
60.70±12.18* |
59.87±14.15* |
CD4 count (cells/mm3) | 888.10±217.30 |
293.92±205.44* |
490.85±295.64* |
499.43±264.02* |
CD4: T helper cells, -ve: Negative and +ve: Positive |
Table 3: | Serum creatinine and creatinine clearance of different study groups and control |
Groups | Serum creatinine (mg dL–1) |
Creatinine clearance (mL min–1) |
HIV -ve | 0.92±0.23 |
108.43±22.13 |
HIV +ve (newly diagnosed) | 0.96±1.17 |
106.40±36.97 |
HIV +ve on HAART (0-2 years) | 1.23±2.57 |
104.70±34.09 |
HIV +ve on HAART (>2 years) | 1.23±2.28 |
099.97±36.26 |
F-ratio | 0.638 |
1.558 |
p-value | 0.592 |
0.2 |
-ve: Negative and +ve: Positive |
39.6% (95) of the study population were in the age category of 20-29 years, 37.1% (89) were between 30-39 years and 23.3% (56) were between 40-49 years, respectively. From the study population, HIV-infected patients were 42.8%, 35% and 22.2% for age categories 30-39 years, 20-29 years and 40-49 years, respectively. The distribution is shown in Table 1.
Anthropometric measurements and CD4 count in the study population: Table 2 summarizes the anthropometric measurements and CD4 count of the study population. The average age of the newly diagnosed HIV positive HAART naïve patients is 33, 34 years for HIV positive patients on HAART for 0-2 years and 32 years for HIV positive patients on HAART for more than 2 years. The CD4 counts of the subjects in the 4 groups are also represented.
Serum creatinine and creatinine clearance of study population: Table 3 demonstrated the differences in renal function among the different study groups and control. The results for both serum creatinine and creatinine clearance for the HIV positive newly diagnosed/HAART naive patients were 0.96 mg dL–1 and 106.4 mL min–1, patients on HAART for 0-2 years were 1.23 mg dL–1 and 104.7 mL min–1 and patients on HAART for more than 2 years were 1.23 mg dL–1 and 99.97 mL min–1, respectively, which are however not significantly different in comparison to the control group (HIV negative).
Distribution of CKD in study population: Table 4 displays the distribution of the five stages of Chronic Kidney Disease (CKD) in the study population. The findings revealed that for the HIV positive HAART naïve patients, 15 (25%), 2 (3.3%) and 1 (1.7%) were in stages II, III and V of CKD while 42 (70%) patients were normal, the HIV positive patients on HAART for 0-2 years, 14 (2.3%), 3 (5%) and 2 (3.3%) were on stages II, II and V of CKD while 41 (68.3%) were normal and the HIV positive patients on HAART for >2 years, 28 (46.7%), 2 (3.3%) and 2 (3.3%) were on CKD stages II, III and V, respectively while 28 (46.7%) were normal. The prevalence of CKD among HIV positive HAART naïve patients was 5%, for HIV positive patients on HAART for 0-2 years was 8.3% and for HIV positive patients on HAART for more than 2 years was to 6.7%, respectively bringing the prevalence for 120 HIV positive patients on HAART to 7.5%.
Table 4: | Distribution of CKD in study population |
Stages of CKD |
||||||
Groups (n) | I |
II |
III |
IV |
V |
Normal |
Control (n = 60) | - |
2 (3.3%) |
2 (3.3%) |
- |
- |
56 (93.3%) |
Group 2 (HIV +VE HAART (naïve) (n = 60) | - |
15 (25.0%) |
2 (3.3%) |
- |
1 (1.7%) |
42 (70.0%) |
Group 3 (HIV +VE on HAART 0-2 years) (n = 60) | - |
14 (2.3%) |
3 (5.0%) |
- |
2 (3.3%) |
41 (68.3%) |
Group 4 (HIV +VE on HAART >2 years) (n = 60) | - |
28 (46.7%) |
2 (3.3%) |
- |
2 (3.3%) |
28 (46.7%) |
n: Sample size, CKO: Chronic kidney disease, stages of CKD eCrCl (mL min–1), I: >90, II: 60-89, III: 30-59, IV: 15-29 and V: <15 |
DISCUSSION
The assessment of renal function in HIV patients on HAART can be beneficial to the improvement of renal function in HIV patients. Assessment of renal dysfunction due to HAART associated with an adverse effect on the renal system such as acute renal failure, tubular necrosis, kidney stones, or chronic renal disease is important, as it could potentially detect kidney impairment at an early stage before manifest kidney disease has occurred.
From the study, out of the 240 patients that participated, 60 patients were HIV negative and 180 patients were HIV positive. About 75.6% of the 180 HIV positive patients were females and the remaining 24.4% were males. Participants within the age category of 30-39 years make up 42.8% of the total infected, age category 20-29 years make up 35% and age category 40-49 years make up 22.2% of the total infected patients studied.
In this study, it was observed that there was a statistically significant difference in the body weight measurements, in which the body weights of the study groups (Groups II, III, IV) were significantly lower (p<0.05) when compared with the weights of the control group (Group I). This can be attributed to a result of acyclic nucleoside phosphonates contained in HAART treatment such as tenofovir, adefovir and cidofovir, whose risk factors include weight loss15,16.
The present study also showed a significant difference in the CD4 count. In which the CD4 count in the study groups (Groups II, III, IV) was significantly decreased in comparison with the control group (Group I). However, this decrease is in line with the normal range of values. This can be attributed to the immunosuppression caused by HIV in its early stages, whilst the initiation of HAART interrupts the virus life cycle causing an increase in the CD4 cells, as it was observed that CD4 count improved in the vast majority of patients undergoing HAART therapy.
Increasing serum creatinine level is a decisive indicator of poor glomerular filtration and a significant clinical marker for renal impairment17. In this study, no significant differences were observed in serum creatinine and creatinine clearance in the study groups (II, III and IV), as compared to the control group (I) and the prevalence of Chronic Kidney Disease (CKD) was described as CrCl<60 mL min–1 amongst HIV positive HAART naïve patients was 5%, for HIV positive patients on HAART for 0-2 years was 8.3% and for HIV positive patients on HAART for more than 2 years was 6.7%, respectively bringing the prevalence for 120 HIV positive patients on HAART to 7.5%. This finding may be attributed to our exclusion criteria which excluded traditional risk factors known to be associated with a renal impairment such as diabetes and high blood pressure. It may also be attributed to the effect HAART has on the improvement of renal function of patients as suggested by Kamkuemah et al.18 and Deckert et al.9. The prevalence obtained from our finding is consistent with similar studies carried out in Uganda (2.52%)10 and Northeast Ethiopia (6.7%)19 comparatively lower than the findings of previous studies carried out in South-South Nigeria (53.3%), Northwest Cameroon (26.5%), Southeast Nigeria (24.3%), Southwest Nigeria (23.7%), Southwest Ethiopia (20.7%) and Northeast Ethiopia (16.1%)6,19-23. However, these other studies recording high prevalence had not excluded HIV-infected patients that had known traditional risk factors associated with renal impairment. Specifically, Nforbugwe et al.21 in their study had similarly reported that there was no statistically significant difference in mean creatinine clearance of HAART-naïve and HAART-experienced groups, they also noted that there was no association between HAART regimen and renal dysfunction and linked decreased renal function to the detrimental effect of HIV. Other studies that have assessed renal dysfunction among HIV patients were not classified or differentiated into groups to obtain data on renal function and understand the differences in renal function of HIV patients that were HAART naïve, on HAART for 0-2 years and greater than 2 years. Current study had few limitations, no baseline renal function was done to evaluate the change in renal function over time thereby allowing for short-term impairment that may be reversible. Also, microalbuminuria was not evaluated, as it has been demonstrated to be a vital indicator for renal dysfunction identification in HIV-infected individuals24,25.
CONCLUSION
This study has revealed that concentrations of serum creatinine were not statistically different in HIV positive HAART naïve patients and HIV/AIDS patients on HAART. It also revealed that the prevalence of renal function impairment amongst HIV-infected patients on and off HAART attending the ART/HIV Clinic at Makurdi, Nigeria was minimal and not associated with HAART regimen and may be linked to traditional risk factors for renal impairment. Hence, proper history of HIV/AIDS patients should be taken and investigations should be done to detect patients with co-morbidities (diabetic or hypertensive) to manage them early and HIV/AIDS positive patients should be properly assessed and evaluated for kidney disease using a sensitive marker (eCrCl) to establish a baseline before the commencement of any antiretroviral therapy.
SIGNIFICANCE STATEMENT
This study identified that the use of HAART is not significantly related to renal dysfunction in HIV/AIDS patients and this has particularly corrected the misconception that had related HAART use to renal dysfunction in HIV-infected patients. This study may help researchers to uncover other confounding factors that may be associated with renal dysfunction in HIV/AIDS patients and explore ways of mitigating them.
ACKNOWLEDGMENT
The authors would like to express their gratitude to the administrative and technical staff at the ART/HIV Clinic of Bishop Murray Medical Centre Makurdi, Benue State, Nigeria for their technical support and cooperation during this study.
REFERENCES
- Granich, R., S. Gupta and B. Williams, 2018. 90-90-90, epidemic control and ending AIDS: Global situation and recommendations. Int. J. Virol. AIDS.
- Usman, S.A., A. Shehu, O. Ajumobi, S. Gidado and I. Dalhatu et al., 2019. Predictors of non-adherence to antiretroviral therapy among HIV patients in secondary health care facilities in Kano State- Nigeria, A case-control study. Pan Afr. Med. J.
- Onovo, A., A. Kalaiwo, M. Katbi, O. Ogorry, A. Jaquet and O. Keiser, 2021. Geographical disparities in HIV seroprevalence among men who have sex with men and people who inject drugs in Nigeria: Exploratory spatial data analysis. JMIR Public Health Surveillance.
- Afe, A.J., M. Onyema, A.O. Ojoye and E. Iwuoha, 2019. Analysis of HIV treatment cascade among key affected population in Lagos, Nigeria. Eur. J. Med. Health Sci.
- O’brien-Carelli, C., K. Steuben, K.A. Stafford, R. Aliogo and M. Alagi et al., 2022. Mapping HIV prevalence in Nigeria using small area estimates to develop a targeted HIV intervention strategy. PLoS ONE.
- Roomaney, R.A., B. van Wyk and V. Pillay-van Wyk, 2022. Aging with HIV: Increased risk of HIV comorbidities in older adults. Int. J. Environ. Res. Public Health.
- Kefeni, B.T., K.W. Hajito and M. Getnet, 2021. Renal function impairment and associated factors among adult HIV-positive patients attending antiretroviral therapy clinic in Mettu Karl Referral Hospital: Cross-sectional study. HIV/AIDS-Res. Palliative Care, 13: 631-640.
- Uzor, F.T., E.O. Nwobodo, R.N. Orjiako, D.C. Ikwuka, C.C. Chukwuma, A.I. Okereafo and A.G. Ojiakor, 2022. Simple nephrectomy and its effect on key renal functions in adult male albino Wistar rats. Frontline Med. Sci. Pharm. J., 2: 51-66.
- Deckert, A., F. Neuhann, C. Klose, T. Bruckner and C. Beiersmann et al., 2017. Assessment of renal function in routine care of people living with HIV on ART in a resource-limited setting in urban Zambia. PLoS ONE.
- Casado, J.L., M. Monsalvo, P. Vizcarra, M. Fontecha, S. Serrano-Villar and S. Moreno, 2019. Evaluation of kidney function in HIV-infected patients receiving an antiretroviral regimen containing one or two inhibitors of the tubular secretion of creatinine. HIV Med., 20: 648-656.
- Nyende, L., R. Kalyesubula, E. Sekasanvu and P. Byakika-Kibwika, 2020. Prevalence of renal dysfunction among HIV infected patients receiving Tenofovir at Mulago: A cross-sectional study. BMC Nephrol.
- Yahaya, I., O.A. Uthman and M.M.B. Uthman, 2013. Interventions for HIV-associated nephropathy. Cochrane Database Syst. Rev.
- Naing, L., R.B. Nordin, H.A. Rahman and Y.T. Naing, 2022. Sample size calculation for prevalence studies using scalex and scalar calculators. BMC Med. Res. Methodol.
- Choi, A.I., R.A. Rodriguez, P. Bacchetti, D. Bertenthal, P.A. Volberding and A.M. O'Hare, 2007. Racial differences in end-stage renal disease rates in HIV infection versus diabetes. J. Am. Soc. Nephrol., 18: 2968-2974.
- Winston, J., G. Deray, T. Hawkins, L. Szczech, C. Wyatt, B. Young and K.H. Mayer, 2008. Kidney disease in patients with HIV infection and AIDS. Clin. Infect. Dis., 47: 1449-1457.
- Tourret, J., G. Deray and C. Isnard-Bagnis, 2013. Tenofovir effect on the kidneys of HIV-infected patients: A double-edged sword? J. Am. Soc. Nephrol., 24: 1519-1527.
- Samra, M. and A.C. Abcar, 2012. False estimates of elevated creatinine. Permanente J., 16: 51-52.
- Kamkuemah, M., R. Kaplan, L.G. Bekker, F. Little and L. Myer, 2015. Renal impairment in HIV-infected patients initiating tenofovir-containing antiretroviral therapy regimens in a primary healthcare setting in South Africa. Trop. Med. Int. Health, 20: 518-526.
- Eneyew, K., D. Seifu, W. Amogne and M.K.C. Menon, 2016. Assessment of renal function among HIV-infected patients on combination antiretroviral therapy at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia. Technol. Investment, 7: 107-122.
- Okafor, U.H., E.I. Unuigbe and F.S. Wokoma, 2011. Spectrum of clinical presentations in Human Immudeficiency Virus (HIV) infected patients with renal disease. Afr. J. Infect. Dis., 5: 28-32.
- Nforbugwe, A.C.A., A.E. Asongalem, B.R. Nchotu, E.A. Tanue, F.S. Wirsiy and N.J.C. Assob, 2020. Assessment of the effect of HAART on renal function of HIV patients attending the Bamenda Regional Hospital, Cameroon. Open AIDS J., 14: 1-9.
- Umeizudike, T., M. Mabayoje, C. Okany, F. Abdulkareem, A. Adeyomoye, N. Okubadejo and I. Okpechi, 2012. Prevalence of chronic kidney disease in HIV positive patients in Lagos, South-West Nigeria. Nephrol. Res. Rev., 4: 22-26.
- Onodugo, O.D., C. Chukwuka, C. Onyedum, E. Ejim and A. Mbah et al., 2014. Baseline renal function among antiretroviral therapy-naive, HIV-infected patients in Southeast Nigeria. J. Int. Assoc. Providers AIDS Care, 13: 476-480.
- Manaye, G.A., D.D. Abateneh and W. Niguse, 2020. Chronic kidney disease and associated factors among HIV/AIDS patients on HAART in Ethiopia. HIV/AIDS-Res. Palliative Care, 12: 591-599.
- Chaves, H.L., M.P. Batista, A. de Menezes Gomes, A.A. Costa and A.T. Lima et al., 2014. Microalbuminuria and kidney disease risk in HIV patients taking combined antiretroviral therapy. World J. AIDS, 4: 242-248.
How to Cite this paper?
APA-7 Style
Uzoigwe,
J.U., Uzoigwe,
Z.N., Ikwuka,
D.C., Eleje,
G.U., Omoha,
A., Nworgu,
C.C., Uzoigwe,
S.O., Chibuoke,
I.J., Nwachukwu ,
D. (2022). Renal Function Evaluation of HAART and HAART-Naïve HIV/AIDS Patients in Makurdi, Nigeria. Trends in Medical Research, 17(4), 159-166. https://doi.org/10.3923/tmr.2022.159.166
ACS Style
Uzoigwe,
J.U.; Uzoigwe,
Z.N.; Ikwuka,
D.C.; Eleje,
G.U.; Omoha,
A.; Nworgu,
C.C.; Uzoigwe,
S.O.; Chibuoke,
I.J.; Nwachukwu ,
D. Renal Function Evaluation of HAART and HAART-Naïve HIV/AIDS Patients in Makurdi, Nigeria. Trends Med. Res 2022, 17, 159-166. https://doi.org/10.3923/tmr.2022.159.166
AMA Style
Uzoigwe
JU, Uzoigwe
ZN, Ikwuka
DC, Eleje
GU, Omoha
A, Nworgu
CC, Uzoigwe
SO, Chibuoke
IJ, Nwachukwu
D. Renal Function Evaluation of HAART and HAART-Naïve HIV/AIDS Patients in Makurdi, Nigeria. Trends in Medical Research. 2022; 17(4): 159-166. https://doi.org/10.3923/tmr.2022.159.166
Chicago/Turabian Style
Uzoigwe, Jide, Uzowulu, Zona Nnam Uzoigwe, David Chibuike Ikwuka, George Uchenna Eleje, Amobi Omoha, Choice Chinemerem Nworgu, Soky Okaibe Uzoigwe, Ifeoma Joan Chibuoke, and Daniel Nwachukwu .
2022. "Renal Function Evaluation of HAART and HAART-Naïve HIV/AIDS Patients in Makurdi, Nigeria" Trends in Medical Research 17, no. 4: 159-166. https://doi.org/10.3923/tmr.2022.159.166
This work is licensed under a Creative Commons Attribution 4.0 International License.