INTRODUCTION: There are few studies on the hematologic parameters of HIV-infected individuals in Ethiopia; of these, almost all studies researched adults. Our current study is unique in that it mainly focused on the pediatric population and compared both pre- and post-antiretroviral therapy (ART) children. Inference from this study can be used for other developing countries where the burden of HIV disease is high. OBJECTIVE: The aim of this study was to identify hematologic abnormalities in HIV-infected children before and after initiation of ART. METHODOLOGY: A cross-sectional study was conducted on HIV-infected children from June 1 to August 30, 2015. Data were collected using a pretested and structured questionnaire. Statistical analysis was performed using SPSS 20 version. RESULTS: The median age of study subjects was 10 years with an interquartile range (IQR) of (6, 12). Two-thirds (74.3%) of study subjects received ART for >1 year. The median of CD4 count before ART was 490 cells/mm3 with an IQR of (286, 765); this increased to 663 cells mm3 with an IQR of (499, 908) after ART. Likewise, the median of hemoglobin before ART was 11.5 mg/dL with an IQR of (9.9, 13), which increased after ART to 13 mg/dL with an IQR of (11.8, 14). The prevalence of anemia was 42.8% before and 18.9% after ART initiation. The median of absolute neutrophil count before ART was 3×103 with an IQR of (2.1, 4.6) and after ART, it became 3×103 with IQR of (1.9, 4.2). Age <5 years (adjusted odds ratio [AOR]: 2.76; 95% CI: 1.5, 5.0), an advanced stage of AIDS (AOR: 2.8; 95% CI: 1.4, 5.6) and CD4% <25% (AOR: 2.4; 95% CI: 1.2, 4.9) were significantly associated with anemia before ART initiation, while opportunistic infections were associated with anemia after initiation of ART (AOR: 2.3; 95% CI: 1.08, 4.8). CONCLUSION: ART positively or negatively affects the hematologic profile of HIV-infected children. The current study demonstrated a significant reduction of anemia after initiation of ART.
INTRODUCTION: There are few studies on the hematologic parameters of HIV-infected individuals in Ethiopia; of these, almost all studies researched adults. Our current study is unique in that it mainly focused on the pediatric population and compared both pre- and post-antiretroviral therapy (ART) children. Inference from this study can be used for other developing countries where the burden of HIV disease is high. OBJECTIVE: The aim of this study was to identify hematologic abnormalities in HIV-infectedchildren before and after initiation of ART. METHODOLOGY: A cross-sectional study was conducted on HIV-infectedchildren from June 1 to August 30, 2015. Data were collected using a pretested and structured questionnaire. Statistical analysis was performed using SPSS 20 version. RESULTS: The median age of study subjects was 10 years with an interquartile range (IQR) of (6, 12). Two-thirds (74.3%) of study subjects received ART for >1 year. The median of CD4 count before ART was 490 cells/mm3 with an IQR of (286, 765); this increased to 663 cells mm3 with an IQR of (499, 908) after ART. Likewise, the median of hemoglobin before ART was 11.5 mg/dL with an IQR of (9.9, 13), which increased after ART to 13 mg/dL with an IQR of (11.8, 14). The prevalence of anemia was 42.8% before and 18.9% after ART initiation. The median of absolute neutrophil count before ART was 3×103 with an IQR of (2.1, 4.6) and after ART, it became 3×103 with IQR of (1.9, 4.2). Age <5 years (adjusted odds ratio [AOR]: 2.76; 95% CI: 1.5, 5.0), an advanced stage of AIDS (AOR: 2.8; 95% CI: 1.4, 5.6) and CD4% <25% (AOR: 2.4; 95% CI: 1.2, 4.9) were significantly associated with anemia before ART initiation, while opportunistic infections were associated with anemia after initiation of ART (AOR: 2.3; 95% CI: 1.08, 4.8). CONCLUSION:ART positively or negatively affects the hematologic profile of HIV-infectedchildren. The current study demonstrated a significant reduction of anemia after initiation of ART.
The annual rate of new HIV infections globally was believed to be 2.5 million in 2011. Approximately 12% of these infections (330,000 cases) occurred in children <15 years of age annually.1,2In both antiretroviral-treated and untreated individuals, different types of hematological abnormalities were documented, the most important being pancytopenia. These changes are related with increased risk of morbidity and mortality. Anemia is a common finding in patients with HIV infection and it is more prevalent in patients with advanced retroviral infection. Its prevalence ranges from 11.7% to 92% depending on the stage of HIV disease, sex, age, pregnancy status, and presence of opportunistic infections (OIs). As HIV disease progresses, the prevalence and severity of anemia also increases.3–6 Thrombocytopenia is a frequent complication of HIV infection, which is found in 4%–40% of the cases and can occur at any stage of the infection.7 Leukopenia, specifically neutropenia, is the third most prevalent hematologic abnormality in HIV-infected individuals. It may occur in 2%–30% of HIVpatients with advanced disease.8,9 Other causes include myelosuppressive drugs and OIs. Furthermore, HIV infection causes a decrease in cluster of differentiation 4 (CD4+) lymphocytes as the infection progresses. This can directly result in lymphopenia.3,9Antiretroviral treatment (ART) is known to profoundly suppress viral replication. It increases CD4 cell count, delays disease progression and death; patients on highly active antiretroviral therapy commonly suffer from side effects of the drugs.10,11 Each antiretroviral (ARV) drug is associated with specific adverse effects. Among the ARV drugs, zidovu-dine (AZT) remains the most widely used drug, resulting in myelosuppression.12–14There are few studies on the hematologic effects of HIV infection in Ethiopia but almost all were done on adult patients. Our current study is unique in that it focused on the pediatric population and compared both pre- and post-ARTchildren.
Methods and materials
Study design
A cross-sectional study was conducted from June 1 to August 30, 2015 on 222 HIV-infectedchildren.
Study area
The study was done from June 1 to August 30, 2015 in University of Gondar Hospital. It is one of the tertiary hospitals in the country with catchment area of ~7 million people and the oldest academic institution in Ethiopia. The university is located at the heart of Gondar city, northwest part of the country. The HIV follow-up clinic is scheduled daily, both in the morning and afternoon. The clinic staffs 2 nurses and 3 doctors. The average patient census returning for follow-up was 15–20 patients per day. The hospital started delivering ART service in 2005; currently, there are 518 HIV-positive children enrolled in chronic follow-up care.
Participants
All HIV-infectedchildren who had follow-up at pediatrics ART clinic in University of Gondar Hospital in the study period were included.Reviews of patient charts were performed. The hematologic profile of patient was collected from the hospital’s laboratory record book and anthropometry evaluation was done for each participant.
Quantitative variables
Measurement of height was performed by measuring in standing position. We used an electronic weight scale. Weight for age, weight for height and height for age were interpreted using the World Health Organization (WHO) growth curve.All children <15 years of age who took ART for >6 months.Patients who had traumatic injury or surgical interventions resulting in blood loss during the study period or within 3 months prior to the study period were excluded.Those children without a legal guardian or unaccompanied children.
Sample size
In order to have a representative sample of our entire pediatrics ART follow-up clinic, sample size was determined using single population proportion formula assuming the prevalence of anemia 53%,25 with 5% margin of error and 95% CI. Since the source population was <10,000, correction formula was applied. Using the above assumption, the minimum sample size calculated was 220+22 (10% non-response rate) making the final sample size 240. To select each study participants, we applied systematic random sampling technique, the 242 participants were selected from a sampling frame of 518 HIV-positive children who were on a follow-up care at the ART clinic. The interval K was 2 and every other participant from the sampling frame was included in the study.
Data collection tools and procedure
Data were collected using pre-tested structured questionnaires. These were composed of socio-demographic characteristics, and baseline characteristics of the study subjects before initiation of ART; these included mainly clinical, laboratory and immunological characteristics after initiation of ART.Two nurses and 1 pediatrics resident were involved in the data collection. The laboratory measurements were done by experienced laboratory technologists. The data collection process was supervised strictly by the investigator. All study subjects were approached during their respective appointment schedule for follow-up and interviewed in a separate room to maintain confidentiality.
Data compilation and analysis
Data were reported as the mean and standard deviation for continuous variables and as percentages for categorical variables. Logistic regression analysis was applied to determine the associations of established risk factors for hematologic abnormalities. We used a CI of 95% and P<0.05 to evaluate for any significant association.
Operational definitions
Anemia, neutropenia and thrombocytopenia were defined based on WHO grading of hematologic toxicity.15 Accordingly, anemia was defined as hemoglobin (Hgb) concentration ≤10.5 g/dL for all children and further severity was classified into grades as follows:Grade 1: Hemoglobin level of 8.5–10.5 g/dL (mild anemia)Grade 2: 7.5–<8.5 g/dL (moderate anemia)Grade 3: 6.5–<7.5 g/dL (severe anemia)Grade 4: <6.5 g/dL (severe life-threatening anemia)Thrombocytopenia: defined as platelet count <150,000/mm3Thrombocytosis: defined as platelet count >450,000/mm3Leukopenia: defined as white blood cell (WBC) count <4000/mm3Leucocytosis: defined as WBC count >12,000/mm3Lymphopenia: defined as lymphocyte count <1500/mm3Neutropenia: defined as absolute neutrophil count (ANC) of <1500/mm3, severity further classified as follows:Grade 1: 750–1500/mm3; mild neutropeniaGrade 2: 500–750/mm3; moderate neutropeniaGrade 3: <500/mm3; severe neutropeniaGrade 4: <250/mm3; severe life-threatening neutropenia.Weight for age <5% was underweight and between 5th% and 95th% was normal. Height for age <5% was stunted and between 5th% and 95th% was normal.16Severe malnutrition was diagnosed if the child had either of the following:16Weight for height (W/H) <70%Mid upper arm circumference <11 cm (6 months–5 years), <13 cm (5–10 years) and <16 cm (11–16 years)Weight for age (W/A) <60% (marasmus) + edema = kwashiorkor
Ethical considerations
We obtained ethical approval from the School of Medicine, University of Gondar research office before conducting the research. Study subjects were recruited after clear explanation of the study’s objective. Written informed consent prepared in the local language (Amharic) was provided by the parents and additional verbal assent was taken for children between 10 and 14 years of age. All participants were informed of their right to withdraw from the study at any stage or to restrict their data from analysis; the interview took place in a separate room to ensure their privacy.
Results
General characteristics of the study participants
From a total of 242 randomly selected participants, 20 were excluded (12 because of incomplete documentations and 8 could not give consent) making the final study participants 222. The median age of study subjects was 10 years with interquartile range (IQR) (6, 12). More than half, 120 (54.1%), of the children were in early adolescent age. Female to male ratio was 1.12:1. Majority of the participants, 181 (81.5%), resided in an urban area. Almost half, 109 (49.5%), of the children had lost either/or both parents. One-third of the caregivers were illiterate 75 (33.8%) and 36 (16.2%) were college graduates (Table 1). The majority, 135 (61%), of the study subjects were not disclosed their HIV status. The proportion of study participants who received AZT-based regimen was 176 (79.28%), tenofovir (TDF)-based regimen was 26 (11.7%), abacavir (ABC)-based regimen was 16 (7.2%) and second-line drug was 4 (1.8%) (Figure 1). Study subjects who received ART for >12 months were 165 (74.3).
Table 1
Socio-demographic characteristics of HIV-infected children having follow-up in Gondar University Hospital, 2015
Variables
n (%)
Age (years)
<1.5
6 (2.7)
1.5–5
25 (11.3)
5–10
71 (32)
10–14
120 (54.1)
Sex
Female
117 (52.7)
Male
105 (47.3)
Residency
Urban
181 (81.5)
Rural
41 (18.5)
Parent status
Both alive
112 (50.5)
Mother alive
70 (31.5)
Father alive
19 (8.6)
Both died
21 (9.5)
Educational status of caregiver
Illiterate
75 (33.8)
Primary school
56 (25.2)
Secondary school
55 (24.8)
College/university
36 (16.2)
Employment status of caregiver
Employed
159 (71.6)
Unemployed
63 (28.4)
Figure 1
Percentage of antiretroviral drug used in children diagnosed with HIV/AIDS, University of Gondar, 2015.
Abbreviations: ABC, abacavir; AZT, zidovudine; TDF, tenofovir.
Clinical parameters
We used WHO clinical staging system to grade severity of the diseases before ART, accordingly 85 (38.3%) were stage 1 and 2, whereas 137 (61.7%) participants were in clinical stage 3 and 4.Upon evaluation of nutritional status, 130 (58.6%) and 139 (62.6%) were found to be underweight and stunted, respectively before ART but after ART, the proportion of underweight and stunted children decreased significantly to 66 (29.7%) and 74 (33.3%), respectively. Severe malnutrition using WHO nutritional assessment criteria was identified in 14 (31%) of the participants before ARV treatment and 2 (0.9%) after ART. In the current study, pneumonia 65 (29.3%) and tuberculosis 51 (23%) were the top identified OIs before ART. The overall prevalence of OIs was 148 (66.7%) and 108 (48%) before and after ART, respectively (Table 2)
Table 2
Clinical and laboratory characteristics of HIV-infected children during follow-up in Gondar University Hospital, 2015
Variable
Before ART n (%)
After ART n (%)
P-value
Weight for age
<5th percentile
130 (58.6)
66 (29.7)
≥5th percentile
92 (41.4)
156 (70.3)
0.000
Height for age
<5th percentile
139 (62.6)
74 (33.3)
≥5th percentile
83 (37.4)
148 (66.7)
0.000
Weight for height, %
<70
31 (14)
2 (0.9)
70–79
43 (19.4)
18 (8.1)
80–89
7 (3.2)
23 (10.4)
≥90
141 (63.5)
179 (80.6)
0.000
Opportunistic infections
Tuberculosis
35 (15.7)
12 (5.4)
Persistent diarrhea
23 (10.4)
19 (8.5)
Pneumonia
50 (22.5)
54 (24.3)
¥PCP
49 (1.8)
4 (1.8)
*Other opportunistic infections
36 (16.3)
19 (8.6)
No opportunistic infections
74 (33.3)
114 (51.4)
0.000
Anemia
Yes
95 (42.8)
42 (18.9)
0.000
Leukocytes
Leukopenia
23 (10.4)
30 (13.5)
Leukocytosis
21 (9.5)
9 (4.1)
Normal
178 (80.2)
183 (82.4)
0.230
Neutrophil count
Neutropenia
23 (10.4)
35 (15.8)
0.310
Lymphocyte count
Lymphopenia
33 (14.9)
21 (9.5)
0.051
Thrombocytes
Thrombocytopenia
18 (8.1)
4 (1.8)
Thrombocytosis
40 (18)
31 (14)
Normal
164 (73.9)
187 (84.2)
0.550
CD4 cell, %
<15
52 (23.4)
18 (8.1)
15–25
89 (40.1)
48 (24.6)
>25
81 (36.5)
156 (70.3)
0.000
Notes:
Other = Tuberculosis and pneumonia, otitis media and pyomyositis.
The median Hgb before ART was 11.5 mg/dL with IQR of (9.9, 13), which increased after ART to 13 mg/dL with IQR of (11.8, 14).The prevalence of anemia before initiation of ARV drugs was 42.8%, whereas after ART, it decreased to 18.9% (Figure 2) and (Table 2). Of 18.9% of study subjects with anemia, 85.7% were taking AZT-based regimen, and 7.14% of them were on TDF-based regimen (Figure 3). Based on mean corpuscular volume, 66 (70%) of patients had normocytic anemia before initiation of ART. Six (62%) participants had macrocytic anemia after treatment with ARV drugs. The median of ANC before ART was 3×103 with IQR of (2.1, 4.6) and after ART, it became 3×103 with IQR of (1.9, 4.2).
Figure 2
Hematologic profiles among HIV-infected children pre- and post-antiretroviral treatment, University of Gondar Hospital, 2015.
Abbreviation: ART, antiretroviral treatment.
Figure 3
Percentage of antiretroviral drugs among anemic children diagnosed to have HIV/AIDS, University of Gondar Hospital, 2015.
Abbreviations: ABC, abacavir; AZT, zidovudine; TDF, tenofovir.
When we looked at the CD4 count, the median of CD4 count before ART was 490 cells/mm3 with IQR of (286, 765) and after ART, increased to 663 cells/mm3 with IQR of (499, 908). According to WHO CD4 grading system, CD4% <15% before and after ARV treatment was 52 (23.4%) and 18 (8.1%), respectively and there was a significant improvement of (CD4% >25%) among participants from 81 (36.5%) pre-ART to 156 (70.3%) after ART.Using multivariate analysis; age <5 years (adjusted odds ratio [AOR]: 2.76; 95% CI: 1.5, 5.0), advanced acquired immune deficiency syndrome (AIDS) stage (AOR: 2.8; 95% CI: 1.4, 5.6) and CD4% <25% (AOR: 2.4; 95% CI: 1.2, 4.9) were significantly associated with anemia before ART initiation. The presence of OIs was independently associated with anemia after initiation of ARV treatment (AOR: 2.3; 95% CI: 1.08, 4.8). These factors were computed for other hematologic profiles; however, were not found to be statistically significant (Table 3).
Table 3
Factors associated with predictors of anemia among HIV-infected children before and after ART at Gondar University Hospital, 2015
The current study investigated the occurrence of hematologic abnormalities among HIV-infectedchildren. The most commonly identified were immune suppression, anemia and thrombocytopenia. The impact of HIV infection that can be found in the peripheral blood and bone marrow includes anemia, leukopenia, thrombocytopenia and thrombocytosis. These could be because of direct effects of the virus on the bone marrow, suppression of bone marrow by secondary infections or neoplasm causing ineffective hematopoiesis; additionally, nutritional deficiencies or drug side effects are also potential contributors.17,18 The well-known mechanism of CD4+T cell depletion in HIVpatients is related to apoptosis in which the dying cells exceed the number of HIV-infected cells.19,20 Before ART initiation, 63.5% of the patients had CD4% <25% and among this group, 23.4% of patients had severe immunosuppression. But on the other hand, the prevalence of immunosuppression after ART declined to 30% and severe immunosuppression dropped to 8.1%. In previous studies, after 12 months of ART, CD4 cell percentage data attained near-normal immune status.21The prevalence of anemia before the initiation of ART in this study was 95 (42.8%). This is similar to the studies done in Brazil, 37.5%,22 and Uganda 47.8%23 but lower than the Indian study 65.5%.24 These differences may be due to differences in study populations, socio-demographic characteristics of the study patients, sample size difference and diagnostic criteria used for anemia. The Ethiopian guideline published in 2007 recommends use of AZT-based regimen as a first line treatment but for those children with Hgb <8.5 gm/dL, TDF- and ABC-based regimen was the preferred recommendation.25 Each ARV drug is associated with specific adverse effects, among the ARV drugs, AZT remains to be the most widely used drug, resulting in myelosuppression.12–14 In the current study among children who were diagnosed to have anemia after ART, 85.7% of them received AZT-based regimen. The prevalence of anemia declined significantly after ART with increment of Hgb by 1.3 gm/dL. This is consistent with a study done in Jima, Ethiopia.26 Other studies also showed significant improvement in Hgb and related hematological indices while on ART, even without specific additional treatment.27Thrombocytopenia was observed in 8.1% of the study patients, which is consistent with the study done in India, 7%,24 in Uganda 8.3%,23 and in Jima, Ethiopia, 7.8%.26 Observation in other studies also identified thrombocytopenia in 10%–30% of HIV-infectedpatients and increased incidence was found to be associated with the progression of HIV disease.28 Thrombocytopenia prevalence decreased to 1.8% after treatment with ARV drugs. This is similar to a study done in Jima.26 The mechanism of thrombocytopenia in HIV infection is mainly due to ineffective platelet production and increased platelet destruction by the spleen.In the current study, young age (<5 years), advanced stage and immunosuppression were independently associated with anemia which is consistent with other published studies.29 Published literature on this area indicates that disease progression and severe immunosuppression are associated with cytokine-mediated myelosuppression resulting in multiple hematologic abnormalities, including anemia.30OIs are reported to attack the bone marrow in patients with HIV. These infections may cause marrow changes either directly by the organism itself or indirectly by causing reactive changes.31
Limitations
The current study has to be interpreted with few limitations. We did not identify the exact cause of anemia though its prevalence was high prior to ART.
Conclusion
We conclude that anemia was the top abnormality identified, followed by thrombocytopenia and leukopenia. After ART initiation, there was a significant improvement of the hematologic profile in the current study.
Authors: Cynthia Firnhaber; Laura Smeaton; Nasinuku Saukila; Timothy Flanigan; Raman Gangakhedkar; Johnstone Kumwenda; Alberto La Rosa; Nagalingeswaran Kumarasamy; Victor De Gruttola; James Gita Hakim; Thomas B Campbell Journal: Int J Infect Dis Date: 2010-10-18 Impact factor: 3.623
Authors: Philippa M Musoke; Peter Mudiope; Linda N Barlow-Mosha; Patrick Ajuna; Danstan Bagenda; Michael M Mubiru; Thorkild Tylleskar; Mary G Fowler Journal: BMC Pediatr Date: 2010-08-06 Impact factor: 2.125