DOI: https://doi.org/10.21203/rs.3.rs-16715/v1
Background: Anemia is Public health problem in persons living with Human immune virus/acquired immune deficiency syndrome particularly in peoples taking antiretroviral therapy. It has effect on their quality of life and disease progression to acquired immune deficiency syndrome (AIDS). Studies regarding anemia among Human immune virus/acquired immune deficiency syndrome (HIV/AIDS) patients taking antiretroviral therapy (ART) and its associated factors are scarce specifically in remote areas.
Method: An institution based Cross-sectional study was employed in Jinka town public health facilities from Feb 18, 2019-March 29, 2019. Systematic random sampling method was used, and a total sample size was 422 were determined. Data was entered using Epi data version 4.4 and analyzed by using SPSS version 25 statistical software. Variables which had a p-value ≤ 0.25 in bivariate analysis were considered as candidates for multivariable regression analysis and variables which had a p-value of ≤0.05 in the multivariable analysis were considered as statistically significant.
Result: The overall magnitude of anemia was 33.5 %( 95%CI: 28.8, 38.1). Multivariable analysis showed that unable to read and write (AOR:4.3; 95%CI:1.56,11.96), AZT users(AOR:3.0;95%CI:1.73,5.36), CD4 count less than 200 cells/mm3 (AOR:3.6;95%CI:1.63,8.09) and history of opportunistic infection (AOR:4.3; 95%CI:2.43,7.68) were significantly associated with the occurrence of anemia.
Conclusion: More than one third of study participants were anemic. Unable to read and write, AZT users, CD4 count less than 200cells/mm3 and history of opportunistic infection were significantly associated with anemia.
Anemia is a condition in which the number of red blood cells and consequently their oxygen carrying capacity is being insufficient to meet the body’s physiologic needs(1, 2). Specific physiologic needs vary with person’s age, gender, residential elevation above sea level (altitude), smoking behavior and different stages of pregnancy(1).
The world health organization (WHO) classifies persons living at sea level as anemic with hemoglobin value below 13 g/dl in men 15 and above years of age, below 12 g/dl in non-pregnant women over 15 years old and below 11 g/dl in pregnant women(3). Globally in 2013, anemia affects 1.93 billion people, which correspond to 27% of the population and developing countries account for more than 89% of the burden (4).
HIV infected individuals are at higher risk of developing hematological abnormalities like anemia. It is the most common hematologic abnormalities in patients with HIV infection and those taking anti-retroviral therapy(5). Prevalence of anemia among adult HIV/AIDS patients taking ART ranging from 23–50% in worldwide (6, 7) and 24–58% in Africa (8, 9).Anemia among adult HIV/AIDS patients taking ART in Ethiopia common problem, with prevalence ranging from 11.4–70.1% (10, 11). It occurs at any stage of HIV infection and severity are correlated with progression of the disease(12). The existence of co-morbid infections, malnutrition, the effect of ART as well as other therapeutics drugs and additional potentially predisposing or worsening conditions increase the probability of anemia in this population(13).
Beside its commonness in people living with HIV, there has been recognized linkage between anemia and decreased survival in this population. Studies have found an association between anemia during established infection and a faster progression to AIDS and death (14–16).The risk of death is up to 70% greater in anemic patients with AIDS compared with their non-anemic counterparts. With anemia in HIV, the need for transfusions is greater(17).
Anemia in HIV/AIDS patients cause fatigue, pale skin, shortness of breath, dizziness and other symptoms associated with impaired physical functioning, psychological distress, and decrements in quality of life, increases HIV disease progression and leads to shorter life expectancy(18). Thus, early diagnosis and treatment of anemia is essential to improve quality of life of the patients.
Though studies on the prevalence of anemia and its associated factors are available, to the best of our knowledge, there is no study conducted in the study area and previous studies did not consider important variables like dietary diversity, meal frequency and coffee or tea drinking, immediately after meal, Viral load. Therefore, this study tries to fill this gap.
Institution based cross sectional study was conducted in Jinka town public health facilities. Jinka is located as 820 km to the south of Addis Ababa (the capital city of Ethiopia). There are 3,145 (2,140 are females and 1,005 are males) peoples living with HIV/AIDS. Jinka General Hospital started providing ART services to HIV/AIDS patients in October 2005. The study conducted from February 18, 2019 to March 29, 2019 G.C.
All adult PLWHA on anti-retroviral therapy in Jinka town public health facilities of South Omo zone were the source populations and all the selected adults PLWHA who were attending anti-retroviral service during the time of the study were the study populations.
A systematic random sampling technique was used to recruit a predetermined 422 samples that has been determined through single population proportion formula. The sample size was proportionally allocated to both health facilities based on the profile of their ART attendants. An average of 30 adults in (Jinka general hospital) and 8 adults in (Millennium health center) were getting ART service. Nine hundred study participants in Jinka general hospital and two hundred forty-study participant in millennium health center were visit the ART clinics during the study period. The study participants were chosen at regular intervals from their sequence of ART clinic visit at appropriate sampling interval of two (900/422) for Jinka general hospital and interval of one (240/422) for millennium health center. The first sample was selected by lottery method from the first two orders of adults who were visiting ART clinic of Jinka General Hospital. Thereafter, at every second interval study participants were included in the study until total sample size was achieved.
For Men
Structured pretested Amharic version questionnaire was used and some clinical information retrieved from patient records. Questions related to dietary diversity was measured by qualitative recall of all foods consumed within 24 hour based on food and agriculture organization(FAO) guidelines in addition meal frequency was recorded. Anthropometric measurements recorded for each study participants on the intended format attached to the questionnaire following standard anthropometric techniques.
Hgb concentration determined by Hemo cue HB 301 + analyzer from capillary blood sample according to Standard operating procedures (SOP). Data were collected by face to face interview and reviewing the patient’s medical records. Pretesting of the questionnaire was done on small sample (5%).
The collected data were coded, cleaned and entered into Epi data version 4.4 and exported to SPSS version 25 for analysis. Multicolinarity among independent variables were checked. Bivariate and multivariate logistic regression was performed to see the association between the dependent and independent variables. Variables which have P-value less than 0.25 in bivariate analysis were entered into multivariable logistic regression model. Model fitness was checked by Hosmer and lemeshow with P-value greater than 0.05. Crude odd ratio, adjusted odd ratios and 95% confidence interval were used to assess the strength of association and statistical significance. Variables that had a p-value ≤ 0.05 in the multivariable analysis were considered as significantly associated with anemia.
The ethical clearance was obtained from ethical review board of Arba Minch University, college of medicine and health sciences Institutional review board. Support letter was obtained from South Omo zone health Bureau. After explaining the purpose of the study, permission was obtained from the Hospital administrators and the medical Director. Written informed consent was obtained from all study participants. Privacy and Confidentiality were maintained throughout the whole period.
Socio-demographic and economic characteristics of study participants
A total of three hundred eighty eight study participants were involved; with a response rate of 92%. From the total participants, 250(64.4%) were females and the mean age was 34.74(SD± 9.23) years’. Among the total study groups, 146(37.6%) were in the age group of 30-39 years. More than half (64.4%) of the respondents were females. Regarding their residence, maximum of the respondents (89.7%) were come from urban area (Table 1).
Medication Related factor
From the total participants, 182 (46.9%) were taking ART containing AZT and 144(37.1%) of the respondents taken ART for 6-20 months and small proportion of respondents (16.2%) taken for more than five years (Table 2).
WHO staging and Comorbidity
The proportion of respondents categorized under WHO stage I, II, III and IV were 58%, 17%, 19% and 6% respectively. Forty-six (11.9%) of study participants had a history of malaria, 83(21.4%) of the study participant had a history of intestinal parasites and 23 (5.9%) of study participant had history of chronic illness. From the total participants, 163(42.0%) have had an opportunistic infection and 382(98.5%) were in working functional status.
Hematological and Nutritional Factor
The mean CD4 count of the respondents was 401± 186.5. The majority of the respondents (85.6%) have CD4 count >200cells/mm3 and 30 (7.7%) have had viral load >1000. Regarding the study participants nutritional status, nearly two third of the respondents (67%) had BMI at range of 18.5-24.9kg/m2 and the remaining 15.2% and 7.8% of the respondents have a BMI under the category of below 18kg/m2 and 25kg/m2 and above respectively.
The mean dietary diversity among study participant was 5.5±1.8. The number of food group consumed ranged from 1-9 and 52.8% of study participants having consumed above the mean (Table 3). Mean meal frequency among study participants was 3.6(±0.8). The range of meal frequency was 1-7 (Table 4).
Magnitude of Anemia among adult PLWHA patients taking ART
The mean ±SD hemoglobin level of study participant was 12.6 (±1.7). The overall magnitude of anemia among PLWHA in Jinka town public health facilities was130 (33.5%) ;( 95% CI: 28.8-38.1). Among those who were anemic, 69(17.8%) ;( 95% CI 14.0-21.6) had mild form of anemia, 53(13.7%); (95% CI: 10.3-17.1) moderate form of anemia and eight (2.1%) ;( 95% CI: 0.7-3.5) had severe form of anemia.
Among those who were anemic magnitude of anemia among adult male PLWHA, taking ART was 31.5% and female adult PLWHA taking ART was 68.5%.
Factors Associated with Anemia among study participant
Educational statuses, Type of ART drugs, CD4 count, History of opportunistic infection were significantly associated with Anemia. In this study, the odds of anemia among those participants who were unable to read and write were 4 times higher as compared to odds of anemia among college and above (AOR=4.33, 95% CI: 1.56, 11.96). The odds of anemia among participants who were taking AZT containing regimen were 2.9 times higher as compared to not taking AZT containing regimen (AOR=3.0, 95% CI: 1.73, 5.36). The odds of the likelihood of anemia among those participants with CD4 count less than 200 cells/mm3 were 3.6 times higher as compared to participants with CD4 count >200 cells/mm3 (AOR=3.6, 95% CI: 1.63, 8.09). The odds of anemia among participants having a history of opportunistic infection were 4.3 times higher as compared to odds of those without history of opportunistic infection (AOR=4.3, 95% CI: 2.43, 7.68) (Table 5).
This study assessed magnitude and factors associated with anemia among people living with HIV/AIDS taking ART in Jinka town public health facilities, southern Ethiopia. It is clear that anemia is most common hematologic abnormalities in persons with HIV patients taking ART. The finding of this study revealed that, 33.5% of HIV/AIDS patients taking ART developed anemia. This study finding is higher than the research finding from Addis Abeba and Debretabor(10, 19). The higher magnitude of anemia in this study might be attributed to a relatively higher proportion of AZT users which is one of the factors for development of anemia.
However, this figure is lower than the studies conducted in Arba Minch and Gondar (11, 20). This variation may due to, in this study, the number of participant with CD4 count less than 200cells/mm3 is relatively lower than from Arba Minch and the other reason for the difference with study in Gondar may be selection of study participants where only 86% were on ART. This finding is also much lower than study from Iran, Nepal and Nigeria, ranging from 55.8% and 71% (21–23). This variation may be attributed to in our study participants in late WHO HIV/AIDS staging were lower and there is difference in study participants.
In this study, significant association between educational status and anemia were observed. Accordingly, participants unable to read and write were four times more likely to develop anemia as compared to participants with college and above educational status. This finding is consistent with study in Gondar (11). This may be due to participants who have college and above are aware about the benefit of appropriate nutrition consumption/and or have high socioeconomic condition compared to those who were unable to read and write.
Type of ART drugs was significantly associated with occurrence of anemia in this study. As a result, patients who were taking AZT containing regimen were nearly 3 times more likely to develop anemia as compared to patients who were not taking AZT containing regimen. This finding supported by study done in South Africa (24), North western Tanzania (25), Tikur Anbessa specialized hospital (26) and Debretabor hospital (19). This is usually due to the side effect of the ART drug AZT resulting in manifestation of granulocytopenia, anemia, malaise, fatigue, and other gastrointestinal symptoms(27).
CD4 count found to be significantly associated with the occurrence of anemia in this study. Those patients who have had CD4 count of less than 200cells/mm3 were 3.6 times more likely to have anemia as compared to patients who have had CD4 count of 200cells/mm3 or more. Similar results reported in studies done at South Africa (24), Debretabor hospital (19) and Arba Minch town public health facilities(20). The possible explanation for this association might be due to the decrease in CD4 count of HIV infected individuals lead to increase in progression of the disease(28).
Opportunistic infection was associated with likelihood of developing anemia in this study. Those patients who have had history of opportunistic infection were 4.3 times more likely to have anemia as compared to patients who have no history of opportunistic infection. The possible reason might be, these opportunistic infections may also cause dietary problems which would led to nutritional deficiencies and problems of absorbing nutrients which in turn would led to anemia(29).
More than one third of study participants were anemic. In multivariable analysis participants who were unable to read and write, participants taking AZT based regimen, having CD4 count less than 200cell/mm3 and history of opportunistic infection were factors that increase the odds of anemia.
Therefore, strength the procedures for the early diagnosis of opportunistic infection, frequent monitoring of HIV-infected individuals CD4 count and in addition monitor hemoglobin level on each of the follow up periods by focusing on those people taking ART drug regimen containing AZT and take appropriate action to combat anemia if detected.
AIDS: Acquired immune deficiency syndrome
AOR: Adjusted odd ratio
ART: Anti retro viral therapy
AZT: Zidovudine
BMI: Body mass index
CD4: Cluster of differentiation 4
COR: Crude odd ratio
Hgb: Hemoglobin
HIV: Human Immune virus
OI: Opportunistic infections
PLWHI: Peoples living with HIV/AIDS
WHO: World health organization
Ethics approval and consent to participate
The ethical clearance was obtained from ethical review board of Arba Minch University, college of medicine and health sciences Institutional review board. Support letter was obtained from South Omo zone health Bureau. After explaining the purpose of the study, permission was obtained from the Hospital administrators and the medical Director. Written informed consent was obtained from all study participants. Privacy and Confidentiality were maintained throughout the whole period.
Consent for publication
Not applicable
Availability of data and materials
The data sets generated and/or analyzed are available with a reasonable request through the corresponding author.
Competing interest
I declare that all the authors have no any conflict of interest.
Funding
Not applicable
Author’s contribution
YS conceived and designed the study, supervise the data collection, analyze the data and draft the manuscript. SD, MG and EZ supervise the data collection, analyze the data and reviewed the manuscript critically. All authors read and approve the final manuscript.
Acknowledgement
We would like to acknowledge Arba Minch University College of medicine and health sciences, all the staffs of Jinka Town public health facilities, Study participants and data collectors for their support and encouragement.
Table 1: Socio demographic and economic characteristics of PLWHA on ART in Jinka town public health facilities, South Omo zone, Southern Ethiopia, June 2019(n=388)
Variables |
Category |
Frequency(n) |
Percent (%) |
Age(years) |
18-29 |
132 |
34.0 |
30-39 |
146 |
37.6 |
|
≥40 |
110 |
28.4 |
|
Ethnic group |
Ari |
184 |
47.4 |
Maale |
35 |
9.0 |
|
Goffa |
61 |
15.7 |
|
Amhara |
93 |
24.0 |
|
Other* |
15 |
3.9
|
|
Religion |
Protestant |
193 |
49.7 |
Orthodox |
173 |
44.6 |
|
Catholic |
4 |
1.0 |
|
Muslim |
18 |
4.6 |
|
Marital status |
Single |
59 |
15.2 |
Married |
260 |
67.0 |
|
Divorced |
45 |
11.6 |
|
Widowed |
24 |
6.2 |
|
Educational status |
Unable to read and write |
125 |
32.2 |
Read and write |
70 |
18.0 |
|
Primary school |
76 |
19.6 |
|
Secondary school |
71 |
18.3 |
|
College/university |
46 |
11.9 |
|
Occupational status
|
Pastoralist |
8 |
2.1 |
Agro pastoralist |
30 |
7.7 |
|
Merchant |
84 |
21.6 |
|
Civil servant |
91 |
23.5 |
|
Housewife |
24 |
6.2 |
|
Daily laborer |
104 |
26.8 |
|
Student |
24 |
6.2 |
|
Others** |
23 |
5.9 |
|
Monthly income |
< 500 |
65 |
16.8 |
501-3000 |
250 |
64.4 |
|
>3000 |
73 |
18.8 |
Table 2:Medication related PLWHA taking ART in Jinka town public health facilities, South Omo zone, Southern Ethiopia, June 2019(n=388)
Variables |
Category |
Frequency(n) |
Percent (%) |
Type of ART drug |
AZT containing ART |
182 |
46.9 |
Non AZT containing ART |
206 |
53.1 |
|
ART category |
1c |
118 |
30.4 |
1d |
64 |
16.5 |
|
1e |
141 |
36.3 |
|
1f |
65 |
16.8 |
|
Duration of ART |
6-20 months |
144 |
37.1 |
21-36 months |
83 |
21.4 |
|
37-60 months |
98 |
25.3 |
|
>60 months |
63 |
16.2 |
N.B: 1c=AZT+3TC+Nevirapine, 1d=AZT+3TC+Evaferenz, 1e=TDF+3TC+Evaferenz, 1f=TDF+3TC+Nevirapine
Table 3: Most frequent consumed food groups during 24 hour recall among total sample size (n=388) in Jinka town public health facilities, southern Ethiopia, June 2019.
Food group |
Percent(Yes) |
Number |
Starchy and staples |
86.1 |
334 |
Dark green leafy vegetables |
71.6 |
278 |
Other vitamin A |
81.2 |
315 |
Other Fruits and vegetables |
84.5 |
328 |
Organ meat |
15.5 |
60 |
Meat and fish |
49.0 |
190 |
Eggs |
53.1 |
206 |
Legumes, nuts and seeds |
63.9 |
248 |
Milk and milk products |
49.5 |
192 |
Table 4: Meal frequency among PLWHA in Jinka town public health facilities), Southern Ethiopia, 2019(n=388).
Meal time of respondent |
Percent(Yes) |
Number |
Any food Before a morning meal? |
8.5 |
33 |
Morning meal? |
95.6 |
371 |
Any food between morning and midday meals? |
13.1 |
51 |
A midday meal? |
95.4 |
370 |
Any food between midday and evening meal? |
49.0 |
190 |
Any evening meal? |
99.7 |
387 |
Any food after the evening meal? |
3.1 |
12 |
Table 5:Bivariate and multivariable analysis of factor associated with anemia among adult PLWHA taking ART in Jinka town public health facilities, South Omo zone, Southern Ethiopia, 2019 (n=388)
Variables |
Category |
Status |
COR(95%CI) |
AOR(95%CI) |
|
Anemic |
Not Anemic |
||||
Sex |
Male |
41(29.7%) |
97(70.2%) |
1 |
1 |
Female |
89(35.6%) |
161(64.4%) |
1.30(0.83,2.04) |
1.3(0.75,2.35) |
|
Age(years) |
18-29 |
51(38.6) |
81(61.4) |
1 |
1 |
30-39 |
50(34.2) |
96(65.8) |
1.75(1.01,3.01) |
0.8(0.45,1.61) |
|
>40 |
29(26.4) |
81(73.6) |
1.45(0.84,2.50) |
0.6(0.28,1.30) |
|
Educational Status |
Unable to read & write |
51(40.8)
|
74(59.2)
|
2.83(1.25,6.37)
|
4.3(1.56,11.96)*
|
Able Read & write |
26 (37.1)
|
44 (62.9)
|
2.42(1.01,5.82)
|
3.3 (1.00,9.90)
|
|
Primary school |
25 (32.9) |
51 (67.1) |
2.01(0.84,4.81) |
3.0 (0.96,8.12) |
|
Secondary school |
19 (26.8) |
52(73.2) |
1.50 (0.61,3.68) |
1.7(0.60,5.01) |
|
College and above |
9 (19.6) |
37(80.4) |
1 |
1 |
|
Income of participant
|
<500 Birr |
29(44.6) |
36(55.4) |
2.46(1.19,5.07) |
1.1(0.41,3.02) |
500-3000 Birr |
83(33.2) |
167(66.8) |
1.51(0.83,2.75) |
1.1(0.50,2.45) |
|
>3000 Birr |
18(24.7) |
55(75.3) |
1 |
1 |
|
BMI |
<18.5 |
26(44.0) |
33(56.0) |
3.74(1.66,8.39) |
2.1(0.79,5.60) |
18.5-24.9 |
92(35.4) |
168(64.6) |
2.60(1.32,5.09) |
2.3(1.02,5.19) |
|
>25 |
12(17.4) |
57(82.6) |
1 |
1 |
|
Types of ART drugs |
AZT containing |
84(46.2) |
98 (53.8) |
2.98(1.92,4.62) |
3.0 (1.73, 5.36)*
|
Non AZT containing |
46(22.3) |
160(77.7) |
1 |
1 |
|
CD4 count |
<200 |
41(73.2) |
15(26.8) |
7.46(3.9,14.1) |
3..6(1.63,8.09)* |
>200 |
89(26.8) |
243(73.2) |
1 |
1 |
|
History of OI |
Yes |
91(55.8) |
72(44.2) |
6.02(3.79,9.58) |
4.3(2.43,7.68)* |
No |
39(17.3) |
186(82.7) |
1 |
1 |
|
Viral load |
Undetectable |
34(23.9) |
108(76.1) |
1 |
1 |
150-1000 |
72(34.0) |
140(66.0) |
1.63(1.01,2.63) |
0.8(0.44,1.47) |
|
High copy(>1000) |
24(70.5) |
10(29.5) |
7.02(3.3,17.5) |
1.3(0.47,3.77) |