Baseline CD4 lymphocyte count among HIV patients in Kano, Northern Nigeria

Nwokedi, E E; Ochicha, Ochicha; Mohammed, AZ; Saddiq, Nasiru M.

doi:10.4314/ajhs.v14i3.30867

Cited by 10 publications

(9 citation statements)

References 12 publications

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“…The difference is statistically significant (p<0.001). This finding is in keeping with reports of HIV incidence in Nigeria (Nwokedi et al, 2007;Ajayi et al, 2009Ajayi et al, , 2011 and outside the country (UAC., 2003; Kilaru et al, 2004). Persons in the age range 20-50 might be predisposed because they represent the reproductive and productive age group of any society and thus sexually active.…”

Section: Discussionsupporting

confidence: 92%

Usefulness of Certain Clinical and Laboratory Parameters in Predicting Presence of HIV Infection in Adult HIV/AIDS Positive Patients in a Limited Resource Setting

Adefemi¹,

Jokotola²

2014

J. of Medical Sciences

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Section: Discussionsupporting

confidence: 92%

Usefulness of Certain Clinical and Laboratory Parameters in Predicting Presence of HIV Infection in Adult HIV/AIDS Positive Patients in a Limited Resource Setting

Adefemi¹,

Jokotola²

2014

J. of Medical Sciences

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“…This was significantly higher when compared to the studies conducted in Nigeria, south eastern United States and Thailand which reported a lower rate of AIDS at the initiation of ART. 15,16 Therefore, in the hospital of this current study, delayed enrollment in ART program could be attributed by several factors such as due to fear of stigma. In Ethiopia, as described by the above authors, only one third of HIV infected persons disclosed their HIV status to their partner further compromising the utilization of the counseling and testing and ART services.…”

Section: Discussionmentioning

confidence: 86%

Statistical Analysis of CD4+ Cell Counts progression of HIV-1-positive Patients enrolled in Antiretroviral Therapy at Hossana District Queen Elleni Mohamad Memorial Hospital, South Ethiopia

Tekle¹

2016

BBIJ

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Background: Human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) have caused the world most shocking tragedy and risk. Mortality among patients on HAART is associated with high baseline levels of HIV RNA, WHO stage III or IV at the beginning of treatment, low body mass index, severe anemia, low CD4+ cell count, type of ART treatment, gender, resource-poor settings, and poor adherence to HAART. Objective: The main objective of this study was to make use of appropriate modeling approach to CD4+ cell progression and identify the potential risk factors affecting the CD4+ cell progression of ART patients in Hossana District Queen Elleni Mohamad Memorial Hospital. Methods: In this longitudinal retrospective based study secondary data was used from Hossana District Queen Elleni Mohamad Memorial Hospital. The study population consists of 222 HIV-1-positive patients, measured repeatedly at least one time on each patient who are 15 years old or older those treated with ART drugs from September 2011 to May 2014. The data was analyzed using SAS 9.2 version procedure NLMIXED. Poisson, Poissongamma, Poisson-normal, and Poisson-normal-gamma models were applied to study overdispersion and correlation in the data. Results: A total of 222 adult ART HIV-1-positive patients were included in this study. Out of these ART patients, 131(59%) were female patients and 91(41%) were male patients; 65(29.30%) were followed the drug combinations properly; the mean and standard deviation of baseline CD4+ cell counts were 355.9 and 321.4 cells per milliliter of blood, respectively; the mean and standard deviation of age of patients (p=0.0001) were 31.06 and 8.50 years, respectively; patients were followed for a mean of 24 months (p=0.0001). The analysis showed that the covariates significant for the progression of CD4+ cell counts were age of the patient, time since seroconversion, and sex at 5% level of significance. Conclusion: On average CD4+ cell count increases after patients initiated to the HAART program (the disease rate declines). The progression of end outcome depends on patient's baseline socio-demographic characteristics. For the presence of over-dispersion, and clustering, the Poisson-normal-gamma model results in improvement in model fit.

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“…Documented data on lymphocytes, especially CD3 and CD4 T cells of a particular population or region will obviously help in important clinical decisions, especially those that concern HIV/AIDS and tuberculosis. However, no published data are available on CD3 T cells of Nigerians and only little data are available on CD4 T cells in Nigeria; and most of the studies were on immunocompromised populations [21–23]. Besides, the few studies performed in apparently healthy individuals in Nigeria did not exclude subjects that were HBV and HCV positive [8, 24]; and the possibility that this may affect the CD4T cell outcomes cannot be underestimated.…”

Section: Introductionmentioning

confidence: 99%

CD4‐ and CD3‐T Lymphocyte Reference Values of Immunocompetent Urban and Rural Subjects in an African Nation

et al. 2012

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Studies on the reference values of CD4 and CD3 T cells in healthy individuals have continued to gain significance because of the importance of these immunological markers in the initiation of combination antiretroviral therapy (cART). The aim of the present study was to determine and compare the reference values of CD4 and CD3 T cells in urban and rural Nigerians who were human immunodeficiency virus (HIV), hepatitis B virus (HBV) and hepatitis C virus (HCV) negative. After ethical clearance and informed consent, 1123 subjects who met the inclusion criteria [mean age = 24.4 (± 11.2) years] were recruited in this study. Blood samples were analysed using the BD FACScount cytometer according to the manufacturer’s instructions. Of the overall 1123 subjects, reference means of CD4, CD3 and CD4/CD3 ratio were 1030 ± 367, 1757 ± 609 cells/μl and 0.59 ± 0.08, respectively. Five hundred and fifty‐one (49.1%) were an urban population with the mean CD4, CD3 and CD4/CD3 T cell ratio of 1032 ± 369, 1761 ± 612 cells/μl and 0.59 (±0.08), respectively. The remaining 572 (50.9%) were of a rural population with the mean CD4, CD3 and CD4/CD3 T cell ratio of 1028 ± 459, 1753 ± 958 cells/μl and 0.59 ± 0.13, respectively. Subjects with higher CD4 and CD3 T cells were more likely to be female than male (P < 0.05). There was no significant difference between the T cell values of the two populations (P > 0.05). Our findings provide new insight in the CD4 and CD3 T cell reference values of Nigerians.

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Baseline CD4 lymphocyte count among HIV patients in Kano, Northern Nigeria

Cited by 10 publications

References 12 publications

Usefulness of Certain Clinical and Laboratory Parameters in Predicting Presence of HIV Infection in Adult HIV/AIDS Positive Patients in a Limited Resource Setting

Usefulness of Certain Clinical and Laboratory Parameters in Predicting Presence of HIV Infection in Adult HIV/AIDS Positive Patients in a Limited Resource Setting

Statistical Analysis of CD4+ Cell Counts progression of HIV-1-positive Patients enrolled in Antiretroviral Therapy at Hossana District Queen Elleni Mohamad Memorial Hospital, South Ethiopia

CD4‐ and CD3‐T Lymphocyte Reference Values of Immunocompetent Urban and Rural Subjects in an African Nation

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