Skip to main content
BMC Research Notes logoLink to BMC Research Notes
. 2019 Mar 25;12:168. doi: 10.1186/s13104-019-4214-3

Prevalence and associated factors of anemia among adult human immune deficiency virus positive patients on anti-retroviral therapy at Debre tabor Hospital, Northwest Ethiopia

Kassaw Wubneh Zerihun 1, Gashaw Andargie Bikis 2, Esmael Ali Muhammad 3,
PMCID: PMC6434868  PMID: 30909968

Abstract

Objective

Anemia is the most common hematological complication of HIV infection that has a significant impact on the quality of life and clinical outcomes. Therefore, the aim of this study was to assess the prevalence and associated factors of anemia among adult HIV positive patients on Anti-retroviral therapy at Deber Tabor hospital, northwest Ethiopia. An institution based cross-sectional study was conducted on 365 HIV/AIDS patients on ART selected using the systematic random sampling technique. Blood samples were analyzed using the Cell-DYN 1800 automated hematology analyzer to measure hemoglobin. Bivariable and multivariable binary logistic regression analyzes were employed to find the predictors at p-value < 0 .2 and 0.05, respectively.

Results

The overall prevalence of anemia was 34.0%[95% CI (29.0, 39.0)]; taking Zidovudine based antiretroviral regimen (AOR: 5.9, 95% CI 1.04, 13.86), CD4 count < 200 cells/mm3 (AOR: 4.8 95%, CI 1.14, 12.42), inability to read and write (AOR: 3.2, 95% CI (1.24,8.40), inadequate dietary diversity (AOR: 2.2, 95% CI 1.15, 4.26), and female sex (AOR: 1.9, 95% CI 1.06, 3.69) were significantly associated with increased odds of anemia. Therefore, routine screening of hemoglobin level, proper treatment of respondents on zidovudine based ART regimen and increasing productivity to improve dietary diversity are essential to prevent anemia.

Keywords: Anemia, HIV, ART, Deber Tabor, Ethiopia

Introduction

Anemia is a nutritional disorder resulting when the number and size of red blood cells or hemoglobin concentration falls below the cut-off value, consequently impairing the capacity of the blood to transport oxygen to the body [1]. It is among the extensively spread global public health problems, affecting both developing and well-developed countries with an impact on health and socio-economic development of nations [2].Hematological complications have been documented to be the second most common causes of morbidity and mortality among HIV sero-positive patients with a significant impact on quality of life and clinical outcomes [35].

The most common cause of anemia worldwide is iron deficiency, resulting from prolonged negative iron balance, caused by inadequate dietary iron intake, absorption, and other nutritional deficiencies like folic acid and vitamins B12. In addition to the above causes among HIV/AIDS patients, anemia could be associated with a highly active antiretroviral therapy (HAART) like zidovudine based regimen and opportunistic infections [6, 7].

Anemia is a common feature of HIV infection, occurring in about 35% of HIV/AIDS the patients who start antiretroviral treatment (ART) in Europe and North America [8], while a comprehensive figure for the burden of anemia in HIV/AIDS patients in Sub Saharan Africa hasn’t been estimated. There variation in the prevalence of anemia among HIV/AIDS patients ranges from 10.1% to 77.4% [2], whereas in local areas, particularly in southwest and eastern Ethiopia, its magnitude is 41.2% and 69.6%, respectively [2, 9]. It has been shown that anemia influences the natural history of HIV disease by accelerating the rate of disease progression and operating as a strong independent predictor of death [1012]. Uncorrected anemia results in a multisystem disabling symptoms like fatigue, exhaustion, increased risk of HIV dementia, poor quality of life, decreased survival, and possibly even the exacerbation of poverty in countries, like Ethiopia where the prevalence of HIV/AIDS is high [3, 13].

In addition to variation its variability in magnitude, anemia is influenced by factors which are associated with adult HIV/AIDS patients on ART, socio demographic factors, ART regimen, and CD4 count [1416]. Furthermore, there is paucity of information on the prevalence and associated factors of anemia among HIV/AIDS patients on ART in Ethiopia. Therefore, this study aimed to assess the prevalence and associated factors of anemia among adult HIV/AIDS patients on ART in Debre Tabor, hospital, northwest Ethiopia.

Main text

Methods

Study design and setting

An institution laboratory based cross-sectional study was conducted from March 3 to April 3, 2017. It was conducted in Debre Tabor hospital located 667 km from Addis Ababa, the capital of Ethiopia. The hospital has 253 health professionals. From the beginning, there were 4400 HIV positive patients enrolled at the ART clinic; on average, 45 HIV positive patients attended the ART clinic per day. At the moment, there were 1980 patients on ART 1822 of whom were adults  ≥ 18 years old.

Sample size and sampling procedure

To determine the sample size, we used the single population proportion formula by considering the following assumptions: a 95% confidence interval, 5% margin of error, 69% proportion of anemia [17] plus a 10% non response rate yielded the final sample size of 365. The participants were selected by the systematic sampling technique. According to the data from the hospital, the average monthly number of clients that attended in ART clinic was 990. The sampling fraction (kth) value was determined by dividing the total monthly clients by sample size (990/365 = 3), and the first respondent was selected by the lottery method.

Data collection and analysis

Data was collected through a face to face interview, using a structured and pre-tested questionnaire. For the measurement of hemoglobin level, venous blood was drown from each participant in a volume of 4 ml in ethylenediaminetetraacetic acid (EDTA) vacutainer tube. All specimens were properly labeled with patient codes. Hematological parameters were determined using a Cell-DYN 1800 automated hematology analyzer (Abbot Laboratories Diagnostics Division, USA), while CD4+ T cell count was collected from patient charts.

In order to maintain the quality of data, training was provided to data collectors and supervisors for two days by the principal investigator. A pretest was conducted on 5% of the subjects at Debre Tabor health center. On-site supervision was performed and each copy of the questionnaire was checked for completeness and accuracy before data entry. Standard Operating Procedures (SOPs) were used according to the manufacturer’s instructions for laboratory tests. Results of hemoglobin level testing were categorized to determine anemia [(hemoglobin level < 130 g/l for men > 15 years) and < 120 g/l for non pregnant women > 15 years)] [18]. Concerning the dietary diversity score, participants who consumed five or more food groups in the preceding 24 h were classified as meeting the minimum dietary diversity [19].

Data was cleaned, coded, and entered into Epi-info statistical software Version 7 and then transferred to SPSS version 20 for further analysis. Associations between dependent and independent variables were assessed by using the binary logistic regression, and variables with p values <0 .2 were entered into the multivariable logistic regression with a 95% Confidence Intervals. The corresponding p value of < 0.05 was considered as statistically significant at a 95% confidence interval.

Results

Socio-demographic and health characteristics

In the study, a total of 365 HIV+ patients on ART were included with a response rate of 100%. One hundred thirty-nine (38.1%) of the participants were male; 162 (44.4%) were married. The mean age of the participants was 39.26 years with (St.d ± 10.88); 325 (89%) of the participants were urban dwellers. One hundred seventy seven (48.5%) were taking zidovudine containing ART regimen, and one-fifth (22.2%) were underweight, while one-third of the study participants (34%) had adequate dietary diversity (Table 1).

Table 1.

Socio-demographic and health characteristics of HIV+ patients on ART at Debere Tabor Hospital, Northwest Ethiopia, 2017 (n = 365)

Variables Frequency Percent (%)
Sex
 Male 139 38.1
 Female 226 61.9
Age
 18–30 80 21.9
 31–45 198 54.2
 46–60 77 21.1
 > 60 10 2.7
Marital status
 Single 54 14.8
 Married 162 44.4
 Divorced 109 29.9
 Widowed 40 11.0
Residence
 Urban 325 89.0
 Rural 40 11.0
Educational status
 Unable to read and write 121 33.2
 Able to read and write 45 14.8
 Primary school 91 24.9
 Secondary school 54 12.3
 Diploma and above 54 33.2
Occupations
 Governmental 55 15.2
 Privet 13 3.6
 Unemployed 37 10.1
 Agriculture 37 10.1
 Merchants 72 19.7
 House wife 78 21.4
 Daily labor 73 20
WHO clinical stage
 Stage I 211 57.8
 Stage II 70 19.2
 Stage III 51 14.0
 Stage IV 33 9.0
CD4-T cell count (cells/mm3)
 < 200 54 14.8
 200–350 59 16.2
 351–500 61 16.7
 ≥ 500 191 52.3
ART regimens
 AZT based regimen 177 48.5
 TDF based regimen 173 47.4
 Second line regimen 15 4.1
Duration of HAART Intake (months)
 3–30 65 17.8
 31–60 88 24.1
 61–90 102 27.9
 91–120 87 23.8
 > 120 23 6.3
Body mass index (kg/m2)
 < 18.5 83 22.7
 18.5–24.9 255 69.9
 ≥ 25 27 7.4
Dietary diversity score
 Adequate dietary diversity 124 34.0
 Inadequate dietary diversity 241 66.0
Other drugs intake
 Yes 112 30.7
 No 253 69.3
Alcohol intake
 Yes 83 22.7
 No 282 77.3

Association of anemia with body mass index (BMI)

Over half, 215 (59%), of the participants who had less than 18.5 kg/m2 BMI were anemic, while only 54 (14.8%) of those whose BMI was ≥ 25 kg/m2 were so (Fig. 1).

Fig. 1.

Fig. 1

Anemia status by body mass index among HIV+ patients on ART at Debere Tabor Hospital, North West Ethiopia, 2017 (n = 365)

Prevalence of anemia among HIV positive patients on ART

Participant Hgb level was used to determine the prevalence of anemia which turned out to be 124 (34%). Of those 23 (6.3%) and 101 (27.7%) were moderate and mild, respectively. The mean hemoglobin level of the participants was 13.1 (St.d ± 1.72).

Factors associated with anemia among HIV positive patients on ART

In multivariable analysis; ART regimen, CD4 count, dietary diversity, educational status, and sex were found to be significantly associated with anemia at a P-value of < 0 .05.

According to the binary logistic regression model, the odds of having anemia were 5.9 times [(AOR: 5.9 [(95% CI 1.04, 13.86)] higher among adults who took Zidovudine based ART regimen compared with TDF based regimen. Likewise, the odds of having anemia were almost 5 times higher among participants with CD4 count < 200 cells/mm3 compared with participants with CD4 count ≥ 500 cells/mm3 [(AOR: 4.8;( 95% CI 1.14,12.42)]. Two times more likelihood of anemia was demonstrated by participants who had inadequate dietary diversity compared with their counterparts [(AOR: 2.2; (95% CI 1.15, 4.26)]. Female sex [(AOR: 1.9; (95% CI 1.06, 3.69)] and educational status that is unable to read and write [(AOR: 3.2; (95% CI 1.24, 8.40)] were also significant predictors of anemia among HIV/AIDS infected adults on ART (Table 2).

Table 2.

Bivariable and multivariable analysis of factors for anemia among HIV+ patients on ART at Debere Tabor Hospital, North West Ethiopia, 2017 (n = 365)

Variables Anemia COR (95% CI) AOR (95% CI)
Anemic Non Anemic
Sex
 Female 56 83 1.6 (1.01, 2.44)* 1.9 (1.06, 3.69)*
 Male 68 158 1 1
Educational status
 Unable to read and write 62 59 3.3 (1.62, 6.79)* 3.2 (1.24, 8.40)*
 Able to read and write 17 28 1.9 (.804, 4.559) 1.6 (.53, 4.67)
 Primary school 19 72 0.832 (.373, 1.858) 1.1 (.39, 2.86)
 Secondary school 13 41 1.00 (.414, 2.416) 1.4 (.45, 4.22)
 Diploma and above 13 41 1 1
WHO clinical stage
 Stage I 55 156 1 1
 Stage II 21 49 1.2 (.67, 2.21) 0.7 (0.27, 1.90)
 Stage III 29 22 3.7 (1.98, 7.05)* 1.2 (.31, 4.28)
 Stage IV 19 14 3.85 (1.808, 8.195)* 0.64 (.122, 3.328)
ART regimens
 AZT/3TC/NVP 38 103 5.6 (1.46, 22.61)* 5.9 (1.04, 13.86)*
 AZT/3TC/EFV 14 22 1.4 (0.54, 3.74) 1.3 (0.39, 4.49)
 TDF/3TC/EFV 57 87 2.4 (0.79, 7.48) 1.6 (0.41, 6.51)
 TDF/3TC/NVP 6 23 1 1
CD4 count (cells/mm3)
 < 200 35 19 5.6 (2.95, 10.79)* 4.8 (1.14, 12.42)*
 200–350 22 37 1.8 (0.97, 3.39) 1.2 (0.33, 3.98)
 351–500 20 41 1.5 (0.798, 2.800) 2.0 (0.82, 5.08)
 > 500 47 144 1 1
Dietary diversity score
 Inadequate DDS 96 145 2.3 (1.39, 3.72)* 2.2 (1.15, 4.26)*
 Adequate DDS 28 96 1 1

* indicates significant at a p value of < 0.05

Discussion

A variety of hematologic abnormalities associated with HIV infection have been described in different studies. One of them stats that anemia is a major public health problem in HIV positive patients around the world, particularly in Sub-Saharan African, including Ethiopia.

The overall prevalence of anemia in this study was 34% which was in line with findings from Rwanda (29%) [16], Central Ethiopia (33%) [20], and northwest, Ethiopia (35%) [21]. The result was higher than that of studies done in eastern India (16.2%) [22] Ghana (23.8%) [23] and North eastern Nigeria (24.3%) [24]. However, this report was lower than those of other studies done in China (51.9%) [14] and Tanzania (77.4%) [25].The variation in the burden of anemia between the current and later study settings could be related to disparities in socio-demographic characteristics and immunity. For instance, most of the study population (40.9%) in China had CD4 count less than 200 cells/mm3, while in this study only 14.8% of the participants had CD4 count less than 200 cells/mm3. This may be an important biological implication to our finding in that the mean hemoglobin level increased with increasing CD4 count, and lower CD4 count was associated with an increased risk of anemia.

Patients with CD4 cells < 200 cells/mm3 were more likely to be anemic compared to CD4 count ≥ 500 cells/mm3. This is supported by studies done in Diredawa Town, Ethiopia [2], and Zewditu Memorial Hospital, Addis Ababa, Ethiopia [26]. This could be explained by the fact that deterioration in the formation of hemoglobin due to a disrupted erythropoiesis results from the release of inflammatory cytokines and a decreased production of hematopoietic growth factors coupled with mal-absorption and impaired recycling of iron substance secondary to HIV/AIDS. Further-more, CD4 cells decrease the immunity of patients and expose them to opportunistic infections that lead the deficiency of micronutrient like iron.

In this study, patients who took AZT based ART regimens were more likely to be anemic than those who took TDF-based regimens. This finding is supported by studies done in Ethiopia [20], Rwanda [27], and Iran [28]. This is due to the fact that AZT has a myelosuppressive effect that reduces globin mRNA synthesis and a greater negative impact on hematologic parameters compared with the TDF-based regimens [29, 30]. Furthermore, Zidovudine treatment is associated with the suppression of bone marrow leading to a low production of red blood cells and other types of blood cells in the bone marrow. A meta-analysis of data from randomized trials confirms that anemia is more common with zidovudine- than stavudine-base triple-ART drugs [29].

In this study, women were more likely to be anemic than men. This is supported by a study done at University of Gondar Hospital, Ethiopia [21]. However, in a study done in Nigeria, sex was no significantly associated with anemia although arithmetically the prevalence of anemia was higher in women than in men [31]. The probable explanation might be that women in childbearing years are particularly susceptible to iron-deficiency anemia because of blood loss from menstruation and the increased blood supply demands during pregnancy. Older adults may also have a greater risk of developing anemia because of poor diet and other medical conditions.

This study also identified that the educational status was a predictor of the occurrence of anima among the study subjects. Patients who were unable to read and write were more likely to suffer from anemia than clients with higher educational level. The finding is supported by studies done in China and Nigeria [14, 24]. The probable explanation might be that study subjects with higher educational status are less likely to have unhealthy eating patterns (e.g., drinking carbonated beverages and eating instant noodles) than subjects who are unable to read and write. Furthermore, a higher intake of carbonated drinks was associated with a lower intake of protein, vitamins, and minerals that decrease the absorption of iron [32].

This study also noted that the likelihood of having anemia was higher among HIV/AIDS patients on ART with inadequate diversified diet. The explanation might be that dietary diversity is essential for nutrient adequacy as there is no single food that may contains all of the essential nutrients that are needed for good optimal health and good nutritional status. Moreover, when an individual consumes different foods or food items that promote sufficient intake of essential micronutrients from the diet and the hemoglobin level is improved [33].

Conclusion

This study illustrated that anemia is a moderate public health problem among HIV infected adults on ART at Debre Tabor hospital. ART regimen, CD4 count, dietary diversity, educational status and sex were significantly associated with anemia. Therefore, the government needs to focus on routine screening, proper treatment, and increasing productivity to improve dietary diversification.

Limitations of the study

In this study serum ferritin was not used as an indicator to identify iron deficiency anemia, and the data was collected in the fasting session of Orthodox Christians.

Authors’ contributions

KWZ wrote the proposal, involved in study design, analyzed the data, drafted paper. GAB approved the design, the proposal, and involved in data analysis. EAM involved in data analysis, revised subsequent drafts of the paper and reviewing of the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We would like to acknowledge the University of Gondar for the ethical clearance. The authors would like to thank the study participants, data collectors, and the supervisor.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethical clearance was obtained from the Ethical Review Committee of the Institute of Public Health, the University of Gondar. An official permission letter was obtained Debre tabor hospital. Written informed consent was obtained from study participants in their local language after explaining the purpose, potential risks and benefits of the study, along with the right to withdraw from the study at any time. The participants were also assured that the data was confidential.

Funding

The authors have declared that there was no funding.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Abbreviations

ANRS

Amhara National Regional State

ART

antiretroviral therapy

AZT

azidothymidine

BMI

body mass index

DDS

dietary diversity scores

EFV

efavirenz

FMOH

Federal Ministry of Health

GPs

general practitioners

HAART

highly active antiretroviral therapy

HCT

hematocrit

Hg

hemoglobin

HIV

human immune deficiency virus

NVP

nevirapine

OIS

opportunistic infection

PLWHA

people living with HIV/AIDS

RBC

red blood cells

SPSS

Statistical Package for Social Science

3TC

lamivudine

WBC

white blood cells

WHO

World Health Organization

ZDV

zidovudine

Contributor Information

Kassaw Wubneh Zerihun, Email: wubnehkassaw21@gmail.com.

Gashaw Andargie Bikis, Email: gashawab@gmail.com.

Esmael Ali Muhammad, Email: esmaelali34@gmail.com.

References

  • 1.Targets WGN. 2025: anaemia policy brief. Geneva: World Health Organization; 2014. [Google Scholar]
  • 2.Horton S, Levin C. Commentary on “evidence that iron deficiency anemia causes reduced work capacity”. J Nutr. 2001;131(2):691S–696S. doi: 10.1093/jn/131.2.691S. [DOI] [PubMed] [Google Scholar]
  • 3.Redig AJ, Berliner N. Pathogenesis and clinical implications of HIV-related anemia in 2013. ASH Educ Program Book. 2013;2013(1):377–381. doi: 10.1182/asheducation-2013.1.377. [DOI] [PubMed] [Google Scholar]
  • 4.Moore RD. Human immunodeficiency virus infection, anemia, and survival. Clin Infect Dis. 1999;29(1):44–49. doi: 10.1086/520178. [DOI] [PubMed] [Google Scholar]
  • 5.Anastos K, et al. Total lymphocyte count, hemoglobin, and delayed-type hypersensitivity as predictors of death and AIDS illness in HIV-1-infected women receiving highly active antiretroviral therapy. JAIDS J Acquir Immune Defic Syndr. 2004;35(4):383–392. doi: 10.1097/00126334-200404010-00008. [DOI] [PubMed] [Google Scholar]
  • 6.Goddard AF, et al. Guidelines for the management of iron deficiency anaemia. Gut. 2011;60(10):1309–1316. doi: 10.1136/gut.2010.228874. [DOI] [PubMed] [Google Scholar]
  • 7.Moore RD, Forney D. Anemia in HIV-infected patients receiving highly active antiretroviral therapy. J Acquir Immune Defic Syndr. 2002;29(1):54–55. doi: 10.1097/00042560-200201010-00007. [DOI] [PubMed] [Google Scholar]
  • 8.Harris RJ, et al. Prognostic importance of anaemia in HIV-1 infected patients starting antiretroviral therapy: collaborative analysis of prospective cohort studies in industrialized countries. Antivir Ther. 2008;13(8):959. [PMC free article] [PubMed] [Google Scholar]
  • 9.Mulu H, Hamza L, Alemseged F. Prevalence of malnutrition and associated factors among hospitalized patients with acquired immunodeficiency syndrome in Jimma University Specialized Hospital, Ethiopia. Ethiop J Health Sci. 2016;26(3):217–226. doi: 10.4314/ejhs.v26i3.4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.O'brien ME, et al. Anemia is an independent predictor of mortality and immunologic progression of disease among women with HIV in Tanzania. JAIDS J Acquir Immune Defic Syndr. 2005;40(2):219–225. doi: 10.1097/01.qai.0000166374.16222.a2. [DOI] [PubMed] [Google Scholar]
  • 11.Semba RD, et al. Prevalence and cumulative incidence of and risk factors for anemia in a multicenter cohort study of human immunodeficiency virus–infected and–uninfected women. Clin Infect Dis. 2002;34(2):260–266. doi: 10.1086/338151. [DOI] [PubMed] [Google Scholar]
  • 12.Mocroft A, et al. Anaemia is an independent predictive marker for clinical prognosis in HIV-infected patients from across Europe. Aids. 1999;13(8):943–950. doi: 10.1097/00002030-199905280-00010. [DOI] [PubMed] [Google Scholar]
  • 13.Semba RD, et al. The impact of anemia on energy and physical functioning in individuals with AIDS. Arch Intern Med. 2005;165(19):2229–2236. doi: 10.1001/archinte.165.19.2229. [DOI] [PubMed] [Google Scholar]
  • 14.Shen Y, et al. Prevalence of anemia among adults with newly diagnosed HIV/AIDS in China. PLoS ONE. 2013;8(9):e73807. doi: 10.1371/journal.pone.0073807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Chandani R, Sarkar K, Gonjhu D, Haldar SN, De (Pati) A, Pramanik N. A study on etiopathological evaluation of anaemia in newly diagnosed HIV-infected adults at a Tertiary Health Care Centre of Eastern India. Ann Int Med Den Res. 2016;2(5):OS01–OS05. [Google Scholar]
  • 16.Munyazesa E, et al. Assessment of haematological parameters in HIV-infected and uninfected Rwandan women: a cross-sectional study. BMJ open. 2012;2(6):e001600. doi: 10.1136/bmjopen-2012-001600. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Akilimali PZ, et al. Predictors of persistent anaemia in the first year of antiretroviral therapy: a retrospective cohort study from Goma, the Democratic Republic of Congo. PLoS ONE. 2015;10(10):e0140240. doi: 10.1371/journal.pone.0140240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.WHO/UNICEF . WHO hemoglobin Cut-offs used for demographic and health survey. Geneva: World Health Organization/UNICEF; 2001. [Google Scholar]
  • 19.Food and Agriculture Organization of the United Nations . Guidelines for measuring household and individual dietary diversity. Rome: Food and Agriculture Organization of the United Nations; 2007. [Google Scholar]
  • 20.Wolde HM. Incidence and risk factors of anemia among HIV/AIDS patients taking anti-retroviral therapy at Tertiary Hospitals in Addis Ababa, Ethiopia: a retrospective cohort study. J HIV AIDS Infect Dis. 2014;2:1–06. [Google Scholar]
  • 21.Ferede G, Wondimeneh Y. Prevalence and related factors of anemia in HAART-naive HIV positive patients at Gondar University Hospital, Northwest Ethiopia. BMC Blood Disorders. 2013;13(1):8. doi: 10.1186/2052-1839-13-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kulkarni DMB, et al. Anemia in people living with HIV/AIDS: a cross sectional study from India. IOSR J Dent Med Sci. 2015;14(2):04–08. [Google Scholar]
  • 23.Obirikorang C, et al. Anaemia and iron homeostasis in a cohort of HIV-infected patients: a cross-sectional study in Ghana. AIDS Res Treat. 2016;2016:1623094. doi: 10.1155/2016/1623094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Denue BA, et al. Prevalence of anemia and immunological markers in HIV-infected patients on highly active antiretroviral therapy in Northeastern Nigeria. Infect Dis Res Treat. 2013;6:S10477. doi: 10.4137/IDRT.S10477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Johannessen A, et al. Antiretroviral treatment reverses HIV-associated anemia in rural Tanzania. BMC Infect Dis. 2011;11(1):190. doi: 10.1186/1471-2334-11-190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Assefa M, et al. Prevalence and correlates of anemia among HIV infected patients on highly active anti-retroviral therapy at Zewditu Memorial Hospital, Ethiopia. BMC Hematol. 2015;15(1):6. doi: 10.1186/s12878-015-0024-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Masaisa F, et al. Anemia in human immunodeficiency virus–infected and uninfected women in Rwanda. Am J Trop Med Hyg. 2011;84(3):456–460. doi: 10.4269/ajtmh.2011.10-0519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Jam S, Ramezani A, Sabzvari D, Moradmand-Badie B, Seyedalinaghi S, Jabbari H, et al. A cross-sectional study of anemia in human immunodeficiency virus-infected patients in Iran. Arch Iran Med. 2009;12(2):145–150. [PubMed] [Google Scholar]
  • 29.Moyle G, et al. Changes in hematologic parameters and efficacy of thymidine analogue-based, highly active antiretroviral therapy: a meta-analysis of six prospective, randomized, comparative studies. Clin Ther. 2004;26(1):92–97. doi: 10.1016/S0149-2918(04)90009-4. [DOI] [PubMed] [Google Scholar]
  • 30.Walker RE, et al. Anemia and erythropoiesis in patients with the acquired immunodeficiency syndrome(AIDS) and Kaposi sarcoma treated with zidovudine. Ann Intern Med. 1988;108(3):372–376. doi: 10.7326/0003-4819-108-3-372. [DOI] [PubMed] [Google Scholar]
  • 31.Denue BA, et al. Prevalence of anemia and immunological markers in HIV-infected patients on highly active antiretroviral therapy in Northeastern Nigeria. Infectious diseases. 2013;6:25. doi: 10.4137/IDRT.S10477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Yamada M, et al. Soft drink intake is associated with diet quality even among young Japanese women with low soft drink intake. J Am Diet Assoc. 2008;108(12):1997–2004. doi: 10.1016/j.jada.2008.09.033. [DOI] [PubMed] [Google Scholar]
  • 33.Joint FAO/WHO Expert Committee on Food Additives. Meeting, Joint FAO/WHO Expert Committee on Food Additives, World Health Organization. Evaluation of certain mycotoxins in food: fifty-sixth report of the Joint FAO/WHO Expert Committee on Food Additives. vol. 56. Geneva: World Health Organization; 2002. [PubMed]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


Articles from BMC Research Notes are provided here courtesy of BMC

RESOURCES