Pattern of comorbidities among highly active anti‑retroviral therapy‑naive HIV‑infected adult Nigerian patients at initial diagnosis

Main Article Content

R. I. Oko-Jaja
A. T. O. Awopeju

Abstract

 Background: Comorbidities associated with HIV infection may have profound impact on the future clinical outcomes of infected patients. This study was carried out to assess the prevalence and types of comorbidities in newly diagnosed, highly active anti-retroviral therapy (HAART)-naïve adult HIV patients.


Methods: A retrospective study of 501 consecutive newly diagnosed, HAART-naïve HIV-infected patients was carried out between April 2014 and September 2015 at the University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria. Demographic characteristics, clinical data and comorbid disease condition at initial presentation were retrieved from the hospital records of study patients. Summary statistics was used to present discrete variables. Medians were calculated for continuous variables (age and CD4 counts). Kruskal–Wallis test was used to compare the medians across the different groups, and the Dunn’s post’s test was used to compare medians between two groups.


Results: One hundred and sixty-one (32.1%) of 501 study patients were identified with comorbid conditions, of which 6 patients had more than one comorbid condition, indicating polypathology. The prevalence of comorbid conditions observed include renal disease (14.4%), hypertension (6.2%), tuberculosis (3.4%), oral thrush (2.4%), malaria (1.6%), urinary tract infection (2.2%), hepatitis-B (1%), diabetes mellitus (0.6%), while oesophageal candidiasis, herpes zoster, hepatitis-C and toxoplasmosis were 0.2% each. Comorbidities of infective origin were found predominantly in patients with WHO clinical class 3 and 4, corresponding with declining CD4 cell counts. Renal disease was present in all four clinical stages of HIV.


Conclusion: Renal disease was the most prevalent comorbidity. Comorbidities of infective origin were found almost exclusively in patients with WHO clinical class 3 and 4. Findings highlight the need for detailed evaluation at initial presentation, prior to treatment initiation.

Downloads

Download data is not yet available.

Article Details

How to Cite
Pattern of comorbidities among highly active anti‑retroviral therapy‑naive HIV‑infected adult Nigerian patients at initial diagnosis. (2016). Port Harcourt Medical Journal, 11(1), 34-37. https://doi.org/10.60787/phmj.v11i1.57
Section
Original Articles

References

1. Guaraldi G, Orlando G, Zona S, Menozzi M, Carli F, Garlassi E, et al. Premature age‑related comorbidities among HIV‑infected persons

compared with the general population. Clin Infect Dis 2011;53:1120‑6.

2. Denue BA, Gashau W, Ekong E, Ngoshe RM. Prevalence of non HIV related co‑morbidity in HIV patients on highly active anti‑retroviral

therapy (HAART): A retrospective study. Ann Biol Res 2012;3:3333‑9.

3. Boily MC, Alary M, Baggaley RF. Neglected issues and hypotheses regarding the impact of sexual concurrency on HIV and sexually

transmitted infections. AIDS Behav 2012;16:304‑11.

4. Hasse B, Ledergerber B, Furrer H, Battegay M, Hirschel B, Cavassini M, et al. Morbidity and aging in HIV‑infected persons: The Swiss HIV cohort study. Clin Infect Dis 2011;53:1130‑9.

5. Narayan KM, Miotti PG, Anand NP, Kline LM, Harmston C, Gulakowski R 3rd, et al. HIV and noncommunicable disease

comorbidities in the era of antiretroviral therapy: A vital agenda for research in low‑ and middle‑income country settings. J Acquir Immune Defic Syndr 2014;67(Suppl 1):S2‑7.

6. Adebayo SB, Olukolade RI, Idogho O, Anyanti J, Ankomah A. Marital status and HIV prevalence in Nigeria: Implications for effective

prevention programmes for women. Adv Infect Dis 2013;3:210‑8.

7. World Health Organization. WHO Case Definitions of HIV for Surveillance and Revised Clinical Staging and Immunological

Classification of HIV‑related Disease in Adults and Children. Geneva: World Health Organization, 2007. Available from: http://www.who.

int. [Last accessed on 2015 Dec 20].

8. Cooper RD, Wiebe N, Smith N, Keiser P, Naicker S, Tonelli M. Systematic review and meta‑analysis: Renal safety of tenofovir

disoproxil fumarate in HIV‑infected patients. Clin Infect Dis 2010;51:496‑505.

9. Deeks SG. HIV infection, inflammation, immunosenescence, and aging. Annu Rev Med 2011;62:141‑55.

10. Vance DE, Mugavero M, Willig J, Raper JL, Saag MS. Aging with HIV: A cross‑sectional study of comorbidity prevalence and clinical

characteristics across decades of life. J Assoc Nurses AIDS Care 2011;22:17‑25.

11. Egger M, Ekouevi DK, Williams C, Lyamuya RE, Mukumbi H, Braitstein P, et al. Cohort profile: The international epidemiological

databases to evaluate AIDS (IeDEA) in Sub‑Saharan Africa. Int J Epidemiol 2012;41:1256‑64.

12. Prottengeier J, Koutsilieri E, Scheller C. The effects of opioids on HIV reactivation in latently‑infected T‑lymphoblasts. AIDS Res Ther

2014;11:17.

13. Odutayo A, Hirji N. Noncommunicable diseases in developing countries: Focus on research capacity building. JAMA Intern Med

2013;173:1031.

14. Katz IT, Ryu AE, Onuegbu AG, Psaros C, Weiser SD, Bangsberg DR, et al. Impact of HIV‑related stigma on treatment adherence: Systematic review and meta‑synthesis. J Int AIDS Soc 2013;16(3 Suppl 2):18640.

15. Mojumdar K, Vajpayee M, Chauhan NK, Mendiratta S. Late presenters to HIV care and treatment, identification of associated risk factors in HIV‑1 infected Indian population. BMC Public Health 2010;10:416.

16. Lorenc A, Ananthavarathan P, Lorigan J, Jowata M, Brook G, Banarsee R. The prevalence of comorbidities among people living

with HIV in Brent: A diverse London Borough. London J Prim Care (Abingdon) 2014;6:84‑90.

17. Chua AC, Llorin RM, Lai K, Cavailler P, Law HL. Renal safety of tenofovir containing antiretroviral regimen in a Singapore cohort.

AIDS Res Ther 2012;9:19.