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  • Research article
  • Open Access
  • Open Peer Review

Determination of hematological and immunological parameters among HIV positive patients taking highly active antiretroviral treatment and treatment naïve in the antiretroviral therapy clinic of Gondar University Hospital, Gondar, Northwest Ethiopia: a comparative cross-sectional study

  • 1Email author,
  • 2,
  • 3 and
  • 1
BMC Hematology201414:8

https://doi.org/10.1186/2052-1839-14-8

©  Enawgaw et al.; licensee BioMed Central Ltd. 2014

  • Received: 14 July 2013
  • Accepted: 19 March 2014
  • Published:
Open Peer Review reports

Abstract

Background

Anemia, leucopenia and thrombocytopenia are the commonest hematological abnormalities resulting from human immunodeficiency virus infection. The use of antiretroviral drugs could positively or negatively affect these disorders. Thus a specific diagnosis and a determination of hematological and immunological parameters are required for initiating and monitoring early treatment to avert disease progression. Therefore, this study aimed to compare hematological and immunological parameters in HIV positive patients taking antiretroviral therapy and those treatment naïve patients in Gondar University Hospital.

Methods

A comparative cross-sectional study was conducted on a total of 290 HIV patients from February to May 2012 in Gondar University Hospital. Study subjects were divided in to two groups: 145 HIV positive treatment naïve and 145 on HAART. Data of socio demographic characteristics and clinical conditions of the study subjects was collected using structured pretested questionnaire at their follow up date. Hematological and immunological parameters were collected and processed by cell Dyne 1800 and BD FACS count respectively. The variables compared here were Hematological parameters (Total and differential WBC, RBC, Hgb, HCT, MCV, MCH, MCHC, RDW, PLT, and MPV) and CD4 count. In order to compare means independent sample T-test was conducted using SPSS version 20 statistical software. P- Value < 0.05 was considered as significant.

Result

Prevalence of anemia, leucopenia, thrombocytopenia, neutropenia and lymphopenia were 11.7%, 35.9%, 4.1%, 28.3% and 2.1% in patients on HAART and 29.7%, 16.6%, 9%, 14.5% and 2.1% in HAART naïve patients respectively. There was a significant difference in total WBC, RBC, Hgb, MCV, MCH, MCHC, MPV and CD4 counts between patients on HAART and HAART naïve patients.

Conclusion

Prevalence of anemia was high in HAART naïve patients while leucopenia and neutropenia prevalence was higher in patients on HAART and their prevalence increased as the CD4 count decreased. HIV Patients should be investigated for hematological and immunological changes following with appropriate therapeutic interventions.

Keywords

  • HIV
  • Anemia
  • Leucopenia
  • Thrombocytopenia
  • HAART

Background

Hematological abnormalities are common complications of human immunodeficiency virus infection. These abnormalities increase as the disease advances. In both antiretroviral-treated and untreated individuals, different types of hematological abnormalities are common [1–3].

Anemia is the most common hematological abnormalities in human immunodeficiency virus (HIV) patients. Its prevalence ranges from 1.3% to 95%, normocytic normochromic anemia being the predominant type followed by microcytic anemia [3–7]. Several factors play a role in the development of anemia in patients with HIV, including chronic disease, opportunistic infections, nutritional deficiencies and toxicities from medications. As HIV disease progresses, the prevalence and severity of anemia also increases [6, 8].

Thrombocytopenia is the second most frequent complication of human immunodeficiency virus infection which is found in 3-40% of individuals with HIV infection and could occur at any stage of HIV infection. Chronic infection with HIV is now well-characterized causes of chronic immune thrombocytopenic purpura [9]. The possible mechanisms that have been reported are immune-mediated destruction of platelets by antibodies, cross-reacting antibodies that are directed toward HIV proteins, particularly gp120 and p-24. This type of platelet destruction is called immune thrombocytopenic purpura (ITP) which is characterized by very low platelet counts with normal hematocrit and white blood cell count [3, 4, 10].

Neutropenia is the most common leucopenia occurring in HIV infected individuals. It may occur in 10-30% of HIV patients with advanced disease [3]. HIV infection suppresses the bone marrow and leads to decreased levels of granulocyte colony-stimulating factor, the factor that stimulates production of white blood cells in the bone marrow and affects the granulocyte-macrophage lineage, resulting in leukopenia and neutropenia. Also myelosuppressive drugs or other opportunistic infections including cytomegalovirus, tuberculosis, histoplasmosis and leishmaniasis may cause leucopenia. Furthermore, HIV infection can directly result in lymphopenia as the infection progresses, leading to a decrease in CD4+ lymphocytes [3, 4].

Hematological parameters are important monitoring tools for assessing treatment and prognosis in HIV. The use of antiretroviral drugs could positively or negatively affect these parameters, depending on the choice of combination used. Although many drugs used for the treatment of HIV-related disorders are myelosuppressive, severe cytopenia is most often related to the use of zidovudine [5].

Despite the presence of few reports on the hematological parameters of HIV positive individuals in Ethiopia [11, 12] comparative studies between HAART naïve and on HAART individuals is scarce. This study, therefore, assessed hematological and immunological parameters in HIV positive treatment naïve and those on HAART in ART clinic of Gondar University Hospital.

Methods

Study setting and study population

A cross-sectional study was conducted at Gondar University Hospital, Northwest Ethiopia, from February to May 2012. During the study period there were about 9000 people leaving with HIV on follow-up care in the ART clinic. Double proportion population formula was used to determine the number of study subjects and a total of 290 adult study subjects, which divided 145 HIV positive treatment naïve and 145 individuals on HAART for a period of 6 months or more were chosen. Adult HIV positive pregnant patients and patients on medication (vitamin supplements and tuberculosis treatment) at the time of sampling were excluded from the study.

Data collection

Data on the socio-demographic and clinical characteristics of the study participants were collected using a pre-tested structured questionnaire by interview and review of medical records. About 4 ml of venous blood was collected by an experienced laboratory technologist from each subject for immunological and hematological parameters analysis. Hematological parameters were determined using the hematology analyzer Cell-Dyn 1800 (Abbott Laboratories Diagnostics Division, USA) whereas the immunological (CD4+ T cells) were assayed using the BD FACSCOUNT system (Becton Dickenson and Company, California, USA). To ensure good quality data, pre-testing was done on patients being managed at the Gondar University Hospital before the study. The performance of the hematology analyzer and the BD FACSCOUNT system were controlled by running quality control material alongside the study participant’s sample. In addition, all flagged specimen were subjected to manual differential to confirm the results.

Statistical analysis

The data was cleaned, edited, checked for completeness and processed then entered in to Epi Info version 3.5.3 and transported to SPSS version 20 statistical software. Independent T test was used to compare means of each hematological parameter (Total and differential WBC, RBC, Hgb, HCT, MCV, MCH, MCHC, RDW, PLT, and MPV) and CD4 count between treatment naïve and those on HAART. P-value < 0.05 was considered as statistically significant.

Ethical consideration

Ethical clearance was obtained from the Institutional Ethics Review Board of the University of Gondar. Permission for the conduct of the study was also obtained from the University Hospital. After informing study participants of the objectives of the study and assuring them of confidentiality of their data, written informed consent was taken from all the participants.

Result

General characteristics of the study participants

A total of 290 HIV infected patients which was categorized in to two, 145 on HAART and 145 HAART naïve were involved in this study. About 184 (63.4%) were females (99 on HAART and 85 HAART naïve) and 106 (36.6%) were males (46 on HAART and 60 HAART naïve). The overall mean age was 34 ± 9.2 years, within the range of 18 – 72 years of age. Majority of the patients, 212 (73.1%), were within 25 – 45 years of age (Table 1).
Table 1

Characteristics of HIV positive patients at Gondar University Hospital from February – May 2012

Variables

HIV patients (n = 290)

On HAART (n = 145)

HAART Naïve (n = 145)

Age

   

<25 years

49 (16.9%)

14 (9.7%)

35 (24.1%)

25–35 years

139 (47.9%)

78 (53.8%)

61 (42.1%)

35–45 years

73 (25.2%)

38 (26.2%)

35 (24.2%)

>45 years

29 (10%)

15 (10.3%)

14 (9.7%)

Sex

   

Male

106 (36.6%)

46 (31.7%)

60 (41.4%)

Female

184 (63.4%)

99 (68.3%)

85 (58.6%)

Residence

   

Urban

205 (70.7%)

114 (78.6%)

91 (62.8%)

Rural

85 (29.3%)

31 (21.4%)

54 (37.2%)

Marital status

   

Single

42 (14.5%)

20 (13.8%)

22 (15.2%)

Married

135 (46.6%)

61 (42.1%)

74 (51%)

Divorced

67 (23.1%)

31 (21.4%)

36 (24.8%)

Widowed

46 (15.9%)

33 (22.8%)

13 (9%)

Educational status

   

Illiterate

64 (22.1%)

30 (20.7%)

34 (23.4%)

Elementary school

95 (32.8%)

47 (32.4%)

48 (33.1%)

Secondary school

90 (31%)

48 (33.1%)

42 (29%)

Certificate and above

41 (14.1%)

20 (13.8%)

21(14.5%)

WHO clinical stage

   

I

257 (88.6%)

128 (88.3%)

129 (89%)

II

12 (4.1%)

4 (2.8%)

8 (5.5%)

III

20 (6.9%)

12 (8.3%)

8 (5.5%)

IV

1(0.3%)

1 (0.7%)

0

Cotrimoxazole

   

Yes

116 (40%)

102 (70.3%)

14 (9.7%)

No

174 (60%)

43 (29.7%)

131 (90.3%)

Hematological and immunological parameters

The mean WBC, Hgb, RBC, PLT and CD4 were 5.2 ± 1.9 ×103/μl, 14 ± 1.6 g/dl, 4 ± 0.6 ×106/μl, 258.6 ± 82.9 and 415.4 ± 218.8 cells respectively in patients on HAART and 6.3 ± 2.3 × 103/μl, 13 ± 2.1 g/dl, 4.7 ± 0.8 × 106/μl, 253.1 ± 95.2 and 361.1 ± 224.4 cells respectively for HAART naïve patients. WBC, ANC, RBC and MPV count was statistically higher in HAART naïve patients while Hgb, MCV, MCH, MCHC, MPV and CD4 count were higher in patients who were on HAART (Table 2).
Table 2

Hematological parameters of HIV positive patients at Gondar University Hospital from February – May 2012

Parameters

HIV patients (N = 290)

On HAART (N = 145)

HAART Naïve (N = 145)

P-value

 

(Mean ± SD)

Mean ± SD

Mean ± SD

 

WBC (×103/μl)

5.73 ± 2.2

5.2 ± 1.9

6.3 ± 2.3

<0.001

TLC (×103/μl)

2 ± 0.9

1.9 ± 0.9

2 ± 0.9

0.189

ANC (×103/μl)

2.73 ± 1.6

2.4 ± 1.4

3.1 ± 1.7

<0.001

RBC (×106/μl)

4.32 ± 0.8

4 ± 0.6

4.7 ± 0.8

<0.001

Hgb (g/dl)

13.5 ± 1.9

14 ± 1.6

13 ± 2.1

<0.001

PCV (%)

41 ± 5.5

41.4 ± 4.4

40.4 ± 6.4

0.124

MCV (fl)

96.4 ± 11.7

10.5 ± 1

8.8 ± 0.6

<0.001

MCH (pg)

32 ± 5.2

35.3 ± 4.2

28.4 ± 3.7

<0.001

MCHC (g/dl)

33 ± 2.2

33.6 ± 1.8

32.2 ± 2.3

<0.001

RDW (%)

14.6 ± 1.7

14.4 ± 1.8

14.8 ± 1.7

0.052

PLT (×103/μl)

256 ± 89

258.6 ± 82.9

253.1 ± 95.2

0.596

MPV (%)

9.7 ± 1.3

9.4 ± 1

10 ± 1.4

<0.001

CD4 (Cells/μl)

1091.1 ± 592

415.4 ± 218.8

361.1 ± 224.4

0.038

Note: Numerical data in Bold = indicates the level of significance (p < 0.05) when the HAART naïve were compared to those on HAART (unpaired t-test).

Hematological abnormalities

Out of the total number of study participants, 20.7% had anemia, 26.2% had leucopenia, 6.6% had thrombocytopenia and 0.7% had pancytopenia. According to WHO classification from anemic subjects, 16.7% had moderate anemia (Hgb = 7-10 g/dl) and 83.3% had mild anemia (Hgb = 10-12 g/dl). The prevalence of anemia in patients who are on HAART was 11.7% while in HAART naïve patients it was 29.7% (Table 3).
Table 3

Hematological disorders in HIV patients at Gondar University Hospital from February to May 2012

Variable

On HAART

HAART naive

Anemia

17 (11.7%)

43 (29.7%)

Leucopenia

52 (35.9%)

24 (16.6%)

Thrombocytopenia

6 (4.1%)

13 (9%)

Lymphopenia

3 (2.1%)

3 (2.1%)

Neutropenia

41 (28.3%)

21 (14.5%)

From the total anemic HIV infected individuals, 43.3% had normocytic-normochromic followed by normocytic-hypochromic (23.3%) and macrocytic-normochromic (18.3%) anemia. From patients on HAART, 58.8% had macrocytic normochromic anemia while from HAART-naïve patients, 48.8% had normocytic-normochromic anemia (Table 4).
Table 4

Type of anemia among HIV patients attending Gondar University Hospital from February to May 2012

Type of anemia

On HAART

HAART naïve

Total

P-value

Microcytic-hypochromic

1 (5.9%)

5 (11.6%)

6 (10%)

<0.001

Microcytic-normochromic

0

1 (2.3%)

1 (1.7%)

Normocytic-normochromic

5 (29.4%)

21 (48.9%)

26 (43.3%)

Normocytic-hypochromic

0

14 (32.6%)

14 (23.3%)

Macrocytic-hypochromic

1 (5.9%)

0

1 (1.7%)

Macrocytic-normochromic

10 (58.8%)

1 (2.3%)

11 (18.3%)

Macrocytic-hyperchromic

0

1 (2.3%)

1 (1.7%)

 

From HIV patients on HAART 58.8% were on Zidovudine (AZT) based therapy and all had macrocytosis. The remaining 41.2% were non AZT based therapy and 42.8% of them had normocytic normochromic anemia.

CD4 count and pancytopenia

The overall minimum CD4 count was 13 cell/μl and the maximum was 1336 cells/μl with a median CD4 count of 350 cells/μl and inter-quartile range of 218 – 518 cells/μl. Twenty percent of the study population had CD4 counts of < 200 cells and 15.5% of them had CD4 counts < 100 cells. Majority of the study population (54.5%) had CD4 count between 200 and 500 cells. About 25.5% of study population had CD4 count > 500 cells/μl. Increased percentage of Anemia, leucopenia and thrombocytopenia were observed in HIV patients whose CD4 count was < 200 cells/μl (P < 0.05), but there was no significant association in the neutropenia between patients who were categorized in to different CD4 count categories (P > 0.05) (Table 5).
Table 5

CD4 counts and cytopenias in HIV patients at Gondar University Hospital from February – May 2012

Parameters

CD4 counts

P-value

<200

200-350

>350

N (%)

N (%)

N (%)

  

HIV patients

    

Anemia

20 (34.5%)

13 (14.8%)

27 (18.8%)

0.011

Leucopenia

25 (43.1%)

29 (33.0%)

22 (15.3%)

<0.001

Thrombocytopenia

9 (15.5%)

5 (5.7%)

5 (3.5%)

0.007

Neutropenia

13 (22.4%)

24 (27.3%)

25 (17.4%)

0.2

Lymphopenia

4 (6.9%)

1 (1.1%)

1 (0.7%)

0.015

Patients on HAART

    

Anemia

3 (15.8%)

7 (14.6%)

7 (9%)

0.535

Leucopenia

12 (63.2%)

21 (43.8%)

19 (24.4%)

0.003

Thrombocytopenia

2 (10.5%)

3 (6.2%)

1 (1.3%)

0.129

Neutropenia

6 (31.6%)

17 (35.4%)

18 (23.1%)

0.309

Lymphopenia

2 (10.5%)

1 (2.1%)

0

0.015

Pre-HAART patients

    

Anemia

17 (43.6%)

6 (15%)

20 (30.3%)

0.021

Leucopenia

13 (33.3%)

8 (20%)

3 (4.5%)

0.001

Thrombocytopenia

7 (17.9%)

2 (5%)

4 (6.1%)

0.07

Neutropenia

7 (17.9%)

7 (17.5%)

7 (10.6%)

0.479

Lymphopenia

2 (5.1%)

0

1 (1.5%)

0.253

Note: Numerical data in Bold = indicates the level of significance (p < 0.05) (Chi square test).

Discussion

Anemia, leucopenia especially neutropenia and thrombocytopenia were common findings in the present study. This was also documented in different studies [1, 2, 4]. Prevalence of pancytopenia (0.7%) was lower than study done in India 6% in 2008 [3]. Also Prevalence of anemia in this study (20.7%) was lower than study done in India in 2002 [7] and 2008 [3] which was 30.8% and 65.5% respectively, Southern India 41% [13], Brazil 37.5% [14], Nigeria from 2000–2005 (74%) [15], Nigeria between June 2002 and July 2003 (80%) [16]. This may be due to the difference in study population, socio-demographic characteristics of study subjects and study design methods.

In this study prevalence of anemia in HAART naïve patients was 29.7% and on those patients on HAART was 11.7%. This indicates that prevalence of anemia is higher in treatment naïve patients (P < 0.001). This is consistent with study done in Ghana [17] and US [18]. The findings of this study affirm that hematological disorders are corrected by combination antiretroviral therapy which also decreases the viral load. Thus HIV patients who were on HAART had greater numbers of blood cells within six months of beginning treatment and hematological disorders were corrected [19].

In this study normocytic normochromic anemia was the dominant type (43.3%) of anemia. This is supported by different studies in which normocytic-normochromic anemia is the commonest type of anemia in HIV patients [3–5, 7, 8]. Findings in New Delhi (66.5%) [7] in 2002 and in Nigerians (64%) between June, 2002 to July, 2003 [16] showed normocytic- normochromic anemia which supports this study findings.

In this study majority of HAART naïve patients (48.9%) have normocytic-normochromic anemia while about 58.8% patients developed macrocytic-normochromic anemia (p < 0.001). This is probably due to the effect of HAART which is responsible for the development of macrocytosis.

The prevalence of anemia was significantly higher (34.5%, P = 0.011) in patients with CD4 count < 200/μl. This is consistent with different studies such as in a study in Southern India [13] 64% and Brazil 61.1% [14] with CD4 count < 200/μl. Patients with CD4 count <200/μl may have low immunity. This may be caused by direct and indirect effect of HIV infection (viral load), opportunistic infections, and toxicity of the drugs [3, 20].

Leucopenia prevalence in this study was 26.6% which was higher than the prevalence in studies done in Nigeria from 2000–2005 [15] and from 2002 – 2003 [16] which showed prevalence of 5.88%, 16.1% and 10% respectively. Another study at the HIV clinic of Lagos [4] showed similar findings in leucopenia (26.8%). In the present study, prevalence of neutropenia and lymphopenia was 21.4% and 2.1% respectively, which is lower than is reported in a study done in Nigeria between 1995 and 2000 in which 64.4% and 40% presented with lymphopenia and neutropenia respectively [21]. This difference may be due to variation in study populations, clinical conditions and study design methods.

Patients on HAART showed statistically significant increase in leucopenia and neutropenia compared to their HAART-naïve counterparts (p < 0.01). Similarly when patient’s CD4 count decreases prevalence of leucopenia and lymphopenia increases (p < 0.05). This may be due to suppression of bone marrow and direct infection of T cells. Having CD4 count <200 was higher in HAART naïve patients (26.9%, P = 0.013) than those on HAART (13.1%). This condition reduces the body’s resistance to many opportunistic infections and the patient becomes more susceptible to bacterial infections and needs medical attention, the condition may become life-threatening.

On the other hand prevalence of thrombocytopenia (6.6%) in this study was lower than reports from a study done in Lagos (16%) [4] and Nigeria between 2002 and 2003 (10%) [16]. This possible cause of thrombocytopenia may be due to immune destruction of platelets. It is known that many chronic human diseases may have an underlying autoimmune mechanism [22].

There was no significant difference in the prevalence of thrombocytopenia between study participants on HAART and those who are HAART-naïve. Thrombocytopenia, however, increases as CD4 decreases (p = 0.007). Thrombocytopenia probably increases as immunological incompetence worsens thus leading to increased risk of excessive bleeding [9, 10].

This study does not address iron status of study participants hemoglobinopathies, inherited membrane disorders and other nutritional deficiencies because of lack of resources. Also the study focused only on comparisons of hematological and immunological parameters but does not addresses risk factors.

Conclusion

The commonest hematological abnormalities in the study participants were anemia and leucopenia, especially neutropenia. Prevalence of anemia was high in HAART naïve patients while leucopenia and neutropenia prevalence was higher in patients on HAART. Anemia, leucopenia, thrombocytopenia and lymphopenia were increased as CD4 count decreases. Based on the present finding, HIV patients are recommended to check up their CD4 counts regularly and to start HAART when it is appropriate in order to decrease the prevalence of anemia.

Abbreviations

AIDS: 

Acquired immune deficiency syndrome

ANC: 

Absolute neutrophil count

ART: 

Anti-retroviral therapy

CD4: 

Cluster of differentiation 4

CD8: 

Cluster of differentiation 8

FACS: 

Fluorescence-activated cell sorting

HAART: 

Highly active antiretroviral treatment

Hgb: 

Hemoglobin

HIV: 

Human immunodeficiency virus

PCV: 

Packed cell volume

RBC: 

Red blood cells

TLC: 

Total lymphocyte count

WBC: 

White blood cells

WHO: 

World Health Organization.

Declarations

Acknowledgements

The authors would like to extend their appreciation to Gondar University Hospital ART laboratory professionals for their help in the collection, processing and analyzing of laboratory tests. Also they we want to express their great thanks to the study participants for their patience and cooperation.

Authors’ Affiliations

(1)
Department of Hematology & Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, P.O. Box 196, Gondar, Ethiopia
(2)
Department of Immunology and Molecular Biology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
(3)
Department of Medical Microbiology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia

References

  1. Gange SJ, Lau B, Phair J, Riddler SA, Detels R, Margolick JB: Rapid declines in total lymphocyte count and hemoglobin in HIV infection begin at CD4 lymphocyte counts that justify antiretroviral therapy. AIDS. 2003, 17: 119-121. 10.1097/00002030-200301030-00016.View ArticlePubMedGoogle Scholar
  2. Muluneh A, Fessahaye A: Hematologic abnormalities among children on HAART in Jimma University Specialized Hospital, Southwestern Ethiopia. Ethiop J Health Sci. 2009, 19 (2): 83-89.Google Scholar
  3. Dikshit B, Wanchu A, Sachdeva KR, Sharma A, Das R: Profile of hematological abnormalities of Indian HIV infected individuals. BMC Blood Disorders. 2009, 9: 5-10.1186/1471-2326-9-5.PubMedPubMed CentralGoogle Scholar
  4. Akinbami A, Oshinaike O, Adeyemo T: Hematologic abnormalities in treatment-naïve HIV patients. Lagos, Nigeria. Infect Dis: Res Treat. 2010, 3: 45-49.Google Scholar
  5. Behler C, Shade S, Gregory K, Abrams D, Volberding P: Anemia and HIV in the antiretroviral era: potential significance of testosterone. AIDS Res Hum Retrovir. 2005, 21 (3): 200-206. 10.1089/aid.2005.21.200.View ArticlePubMedGoogle Scholar
  6. Belperio PS, Rhew DC: Prevalence and outcomes of anemia in individuals with human immunodeficiency virus: a systematic review of the literature. Am J Med. 2004, 116 (7): 27-43. 10.1016/j.amjmed.2003.12.010.View ArticleGoogle Scholar
  7. Patwardhan MS, Golwilkar AS, Abhyankar JR, Atre MC: Hematological profile of HIV positive patients. Indian J Pathol Microbiol. 2002, 45 (2): 147-150.PubMedGoogle Scholar
  8. Volberding P: The impact of anemia on quality of life in human immunodeficiency virus-infected patients. J Infect Dis. 2002, 185: 110-114. 10.1086/324772.View ArticleGoogle Scholar
  9. Liebman HA: Viral-associated immune thrombocytopenic purpura. Hematology the Education Program of the American Society of Hematology. American Society of Hematology. Education Program. 2008, 212-218. Epub 2008/12/17Google Scholar
  10. Kouri YH, Borkowsky W, Nardi M, Karpatkin S, Basch RS: Human megakaryocytes have a CD4 molecule capable of binding human immunodeficiency virus-1. Blood. 1993, 81 (10): 2664-2670.PubMedGoogle Scholar
  11. Adane A, Desta K, Bezabih A, Gashaye A, Kassa D: HIV-associated anaemia before and after initiation of antiretroviral therapy at ART Centre of Minilik II Hospital, Addis Ababa, Ethiopia. Ethiop Med J. 2012, 50 (1): 13-21.PubMedGoogle Scholar
  12. Ferede G, Wondimeneh Y: Prevalence and related factors of anemia in HAART-naive HIV positive patients at Gondar University Hospital, Northwest Ethiopia. BMC Hematology. 2013, 13: 8-10.1186/2052-1839-13-8.Google Scholar
  13. Subbaraman R, Devaleenal B, Selvamuthu P: Factors associated with anaemia in HIV-infected individuals in southern India. Int J STD AIDS. 2009, 20 (7): 489-492. 10.1258/ijsa.2008.008370.View ArticlePubMedPubMed CentralGoogle Scholar
  14. De Santis GC, Brunetta DM, Vilar FC: Hematological abnormalities in HIV-infected patients. Int J Infect Dis. 2011, 15: e808-e11. 10.1016/j.ijid.2011.08.001.View ArticlePubMedGoogle Scholar
  15. Amballi AA, Ajibola A, Ogun SA: Demographic pattern and haematological profile in people living with HIV in a university teaching hospital. Sci Res Essay. 2007, 2 (8): 315-318.Google Scholar
  16. Erhabor O, Ejele OA, Nwauche CA, Buseri FI: Some haematological parameters in human immunodeficiency virus (HIV) infected Africans: the Nigerian perspective. Niger J Med. 2005, 14 (1): 33-38.PubMedGoogle Scholar
  17. Owiredu W, Quaye L, Amidu N, Addai-Mensah O: Prevalence of anaemia and immunological markers among Ghanaian HAART-naïve HIV-patients and those on HAART. Afr Health Sci. 2011, 11 (1): 2-15.PubMedPubMed CentralGoogle Scholar
  18. Mildvan D, Creagh T, Leitz G: Prevalence of anemia and correlation with biomarkers and specific antiretroviral regimens in 9690 human-immunodeficiency-virus-infected patients: findings of the anemia prevalence study. Curr Med Res Opin. 2007, 23 (2): 343-355. 10.1185/030079906X162683.View ArticlePubMedGoogle Scholar
  19. Servais J, Nkoghe D, Schmit JC, Arendt V, Robert I, Staub T, Moutschen M, Schneider F, Hemmer R: HIV-associated hematologic disorders are correlated with plasma viral load and improve under highly active antiretroviral therapy. J Acquir Immune Defic Syndr. 2001, 28 (3): 221-225. 10.1097/00042560-200111010-00003.View ArticlePubMedGoogle Scholar
  20. Bain BJ: The haematological features of HIV infection. Br J Haematol. 1997, 99: 1-8. 10.1046/j.1365-2141.1997.2943111.x.View ArticlePubMedGoogle Scholar
  21. Adediran IA, Durosinmi MA: Peripheral blood and bone marrow changes in patients with acquired immunodeficiency syndrome. Afr J Med Med Sci. 2006, 35: 85-91.PubMedGoogle Scholar
  22. Dreyfus DH: Autoimmune disease: a role for new anti-viral therapies?. Autoimmun Rev. 2011, 11: 88-97. 10.1016/j.autrev.2011.08.005.View ArticlePubMedGoogle Scholar

    23. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/2052-1839/14/8/prepub

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© Enawgaw et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

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