Warning: fopen(/home/virtual/epih/journal/upload/ip_log/ip_log_2023-05.txt): failed to open stream: Permission denied in /home/virtual/lib/view_data.php on line 83 Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84 Incidence and predictors of tuberculosis among HIV-positive children at Adama Referral Hospital and Medical College, Oromia, Ethiopia: a retrospective follow-up study
Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health



Page Path
HOME > Epidemiol Health > Volume 41; 2019 > Article
Original Article
Incidence and predictors of tuberculosis among HIV-positive children at Adama Referral Hospital and Medical College, Oromia, Ethiopia: a retrospective follow-up study
Masino Tessu Beshir1orcid, Aklil Hailu Beyene2orcid, Kenean Getaneh Tlaye3orcid, Tefera Mulugeta Demelew2orcid
Epidemiol Health 2019;41:e2019028.
DOI: https://doi.org/10.4178/epih.e2019028
Published online: June 22, 2019
  • 295 Download
  • 10 Crossref
  • 8 Scopus

1Department of Nursing, Wolkite University College of Health Science and Medicine, Wolkite, Ethiopia

2Department of Nursing, Addis Ababa University College of Health Science, Addis Ababa, Ethiopia

3Department of Nursing, Woldia University Faculty of Health Science, Woldia, Ethiopia

Correspondence: Tefera Mulugeta Demelew  Department of Nursing, Addis Ababa University College of Health Science, P.O. Box 4412 Addis Ababa, Ethiopia  E-mail: tmulugeta79@yahoo.com
• Received: April 15, 2019   • Accepted: June 22, 2019

©2019, Korean Society of Epidemiology

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    Tuberculosis (TB) is common in children with human immunodeficiency virus (HIV), but its effect on the survival of HIV-infected children is not well understood. Therefore, the aim of this study was to assess the incidence and predictors of active TB among HIV-positive children at Adama Referral Hospital and Medical College, Oromia, Ethiopia.
    A retrospective study was conducted over 5 years using a checklist to gather data from 428 randomly selected pediatric patient charts. The checklist was adapted from the standardized antiretroviral therapy (ART) follow-up form currently used by the institution’s ART clinic. Data were analyzed by bivariate and multivariable analysis using Cox regression proportional hazards models, as appropriate. Survival was calculated and compared using the Kaplan-Meier and log-rank tests.
    Of the 466 charts reviewed, 428 patient records were included in the analysis. A total of 67 new TB cases were observed during the follow-up period. Hence, the incidence rate in this cohort was found to be 6.03 per 100 child-years of observation. A baseline hemoglobin level <10 g/dL (adjusted hazard ratio [aHR], 7.04; 95% confidence interval [CI], 1.03 to 48.15), moderate wasting (aHR, 2.86; 95% CI, 1.02 to 7.99), and not receiving isoniazid preventive therapy (aHR, 8.23; 95% CI, 2.11 to 32.06) were among the independent predictors of TB occurrence.
    The incidence of TB was high, particularly in pre-ART patients receiving chronic care for HIV. Close followup of HIV-positive children is crucial to protect them against the development of TB. Initiating isoniazid preventive therapy, averting malnutrition, and managing anemia are also of significant importance.
Tuberculosis (TB) is a leading cause of death and a common illness among people living with human immunodeficiency virus (HIV). At least 1 in 4 HIV-related deaths is a result of TB, and many of these deaths occur in developing countries [1]. People living with HIV are around 30 times more likely to develop TB than HIV-negative people. HIV impairs T-cell–related immunity, which predisposes those with HIV infection to TB infection [1,2]. There were an estimated 1 million new cases of TB in children aged 0-14 in 2014, accounting for approximately 10% of the total TB burden [3].
The 2015 worldwide report on the global burden of TB mortality in children showed that TB was responsible for more deaths than other infectious diseases, such as HIV. In 2015 an estimated 1.4 million HIV-negative and 400,000 HIV-positive individuals died of TB. Among those, 239,000 were children [4]. Childhood TB is often called “the hidden epidemic” due to the difficulties involved in finding and treating the disease in this population, in both developed and developing countries. In settings with a high burden of TB, children account for an estimated 15-20% of TB cases [5,6].
TB is largely a disease of poverty, and children with the disease frequently live in poor communities with few health services [7]. In African sub-regions, various risk factors for mortality have been identified among children with TB-HIV coinfection, before or during antiretroviral therapy (ART); some of these children had received anti-TB treatment prior to ART initiation, while others had not [8]. Ethiopia ranks seventh among the world’s 22 high-TB-burden countries in which prevention and control pose additional challenges to the health care system [9]. Moreover, resources for pediatric TB diagnosis and treatment are usually restricted to higher-level care facilities, such as national referral hospitals and facilities in urban settings [10,11].
TB transmission in health care settings, at home, and in the community is one of the primary research questions in the area of TB prevention. To improve child survival before and after the initiation of ART, a better understanding of risk factors and disease epidemiology in this pediatric population is crucial. Therefore, the major aim of this study was to assess the incidence and predictors of TB among children living with HIV and receiving follow-up care at Adama Referral Hospital and Medical College, Oromia, Ethiopia.
Study design, setting, and period
A 5-year institution-based retrospective study was conducted. The study was conducted at the HIV/AIDS care clinic of Adama Referral Hospital and Medical College from February 28, 2018 to March 13, 2018. The town of Adama, located 99 km southeast of Addis Ababa, is a special administrative Zone of Oromia Regional State. Adama Hospital and Medical College was one of the first 3 hospitals in Oromia to provide ART services, starting in 2005. Routine care for HIV-positive children at the ART clinic includes screening for opportunistic infections, evaluation of clinical staging, and assessment of eligibility for ART by trained clinicians. Patients are managed in accordance with World Health Organization (WHO) recommendations [12]. The ART case team in the hospital is composed of ART-trained physicians, ART-trained nurses, pharmacists, laboratory technicians, data clerks, and drug adherence counselors. A total of 1,309 children have been enrolled since March 2005 and 633 children have started ART since January 2013 [13]. The study subjects were followed from January 1, 2013 to December 31, 2017.
Population and sampling
The study population consisted of all HIV-positive children less than 14 years of age registered with the chronic HIV care and support program at Adama Referral Hospital from January 1, 2013 to December 31, 2017. This study period was selected because the facility started full implementation of a standardized formatting, documentation, and recording system in a regular manner in 2013. The inclusion criteria included being a newly enrolled patient during the study period. Subjects received TB screening through a combination of an evaluation of signs and symptoms, laboratory tests, and an X-ray examination, and were confirmed to be TB-free. Patients with incomplete baseline information such as CD4 count and hemoglobin levels, as well as HIV-positive children who had already started anti-TB treatment at the beginning of the follow-up, were excluded.
Sample size determination
As the study was designed to determine the incidence of TB and its predictors, the authors considered both objectives to calculate the largest sample size needed. For the first objective, a single-population proportion formula was used to calculate the sample size by considering the proportion of TB incidence among HIV-positive children (20%) [14], which yielded 270. For the second objective, the sample size was determined using a double-population proportion formula by considering anemia, ambulatory functional status, and not having been vaccinated as major predictor variables. Among these variables, ambulatory functional status generated the maximum sample size, with 25.0% of exposed individuals having the outcome and 13.8% of non-exposed individuals having the outcome [14]. Therefore, the largest calculated sample size (n=466) was selected as the final sample size for the study.
Sampling procedures and study variables
To select the study cohort, a simple random sampling technique was applied to the list of 633 HIV-infected children who had started ART at the ART unit. The primary outcome was TB incidence and time to occurrence. Other variables of interest extracted from chart review included: age, sex, residence, parental status, family size, caregiver, WHO clinical HIV stage, CD4 count, hemoglobin level, functional status, initial ART regimen, prior history of TB treatment, isoniazid preventive therapy (IPT), cotrimoxazole preventive therapy (CPT), Bacillus Calmette–Guérin (BCG) vaccination status, and nutritional status.
Operational definitions

Entry date

The first date for each observation within the study period at the date of HIV/AIDS confirmation.

End date

The last date for each observation within the study period, corresponding to the subject’s last visit.


The time from date of HIV/AIDS confirmation to the occurrence of TB.


Incident TB, which was defined in this study as the occurrence of active TB in children living with HIV any time after the children were enrolled into chronic HIV care. The type of TB could be smear-positive pulmonary, smear-negative pulmonary, or extrapulmonary TB as identified by signs and symptoms, laboratory tests, X-ray examinations, and/or the initiation of anti-TB treatment.


Children living with HIV were censored at the first date of loss to follow-up, drop-out, transferring out, or death by other causes before the end of the follow-up period. Additionally, those who completed the follow-up period without developing the event were censored.

Stunting, underweight, and wasting

The child being 2 standard deviations (SDs) below the norm for height for age, weight for age, or weight for height, according to the WHO 2006 curve.

Bacillus Calmette–Guérin vaccination status

Subjects were categorized as vaccinated or not vaccinated by inspecting them for the presence of a BCG scar.
Data collection process and procedures
The data extraction tool was developed based on the format of the WHO standardized ART entry and follow-up form currently used by the ART clinic. Data were collected via review of patients’ charts and ART cards. Deaths were confirmed by reviewing medical registration in the hospital, or through registration by an ART adherence supporter via calling the registered phone number. The most recent laboratory test results before starting ART were used as a baseline value. If there were no registered pre-ART laboratory tests, results obtained within 1 month of ART initiation were used as a baseline. If 2 results were obtained within 1 month, the mean value was used.
Data quality control
Three nurses (bachelor degree holders) from Adama Referral Hospital and Medical College, who were trained in comprehensive HIV care and currently involved in patient follow-up care, were employed as data collectors. Both the principal investigator and their supervisors in the hospital closely supervised the data collection process. A 1-day training session was given concerning the data extraction tool and the data collection process for both data collectors and supervisors.
Data processing and analysis
Data was entered using Epidata version (http://www.epidata.dk/index.htm) and the analysis was done using Stata version 14.1 (StataCorp., College Station, TX, USA). The ENA for SMART 2011 (http://www.nutrisurvey.de/ena2011/) was used to generate Z-scores to define participants’ nutritional status. Before analysis, the data were cleaned and checked for completeness. The assumptions of Cox proportional hazards regression models were checked using the Schoenfeld test and the residual test, and variables with a p-value >0.1 were considered to have fulfilled the assumptions. The outcome of each participant was dichotomized as censored or incidence of TB. Kaplan-Meier survival curves were used to estimate the time of TB occurrence among HIV-positive children, and the log-rank test was used to compare survival curves. A bivariate Cox proportional hazards regression model was fitted for each explanatory variable. Moreover, variables with a p-value ≤0.25 in the bivariate analysis were fitted to the multivariable Cox proportional hazards regression model. Hazard ratios (HRs) with 95% confidence intervals (CIs) and p-values were used to measure the strength of associations and to identify statistically significant results. In the multivariable analysis, variables with a p-value <0.05 were considered to be significant predictors of TB incidence after enrollment in HIV chronic care.
Ethics statement
Ethical clearance was obtained from Addis Ababa University School of Nursing and Midwifery research committee. Permission letter was obtained from hospital administration. As this is a retrospective study, informed consent from individual patients was not requested. Since, the study was done through reviewing of medical records, the individual patients might not be subjected to harm as much as the confidentiality was kept. To keep the confidentiality all collected data was coded and locked in a separate room before entered into the computer. After entered to the computer the data was locked by password, names and unique ART numbers was not included in the data collection format and the data was not disclosed to any person other than principal investigator.
Socio-demographic characteristics of the study participants
Among the 466 records of HIV-positive children that were reviewed, 428 (91.8%) records were included in the final analysis. Thirty-eight (8.2%) children were excluded from the analysis because of incomplete documentation. The median age of the cohort at the time of HIV diagnosis was 6 years, with an interquartile range (IQR) of 3-10 years. Roughly half (51.9%) of the study participants were males, and 245 (57.2%) of them were above the age of 5 (Table 1).
Baseline clinical, laboratory, and antiretroviral therapy information
The eligibility criteria for initiation of ART were mainly both CD4 count and WHO clinical stage. More than half (55.4%) of the participants were at WHO clinical stage I or II, and 124 (29.0%) had a CD4 count below the threshold for severe immunodeficiency at ART initiation. Nearly half of the children had an ambulatory functional status at baseline (49.6%) and more than half of the children had a delayed developmental history (53.2%). Nearly three-fourths of the children (n=313, 73.1%) had hemoglobin levels less than 10 g/dL. During the follow-up period, most of children (93.6%) received CPT, but only 154 (42.4%) received IPT. Fifty-five (82.1%) TB patients presented with pulmonary TB, followed by 12 (17.9%) with extrapulmonary TB, making the incidence rate of pulmonary and extrapulmonary TB 4.5 and 1 per 100 child-years of observation, respectively. Forty-eight patients (71.6%) developed TB for the first time during the pre-ART period, while 19 (28.4%) developed TB during ART (Table 2).
Regarding the ART regimen given for HIV-positive children, the predominant regimen initially prescribed was a combination of zidovudine, lamivudine, and nevirapine (4c=AZT-3TC- NVP) in 195 patients (45.6%), followed by zidovudine, lamivudine, and efavirenz (4d=AZT-3TC-EFV) in 152 patients (35.5%).
Nutritional characteristics
When their nutritional status was analyzed relative to their age, approximately a quarter of the HIV-positive children (26.2%) were underweight, 73 (17.0%) showed wasting, and 67 (15.6%) were stunted (Table 3).
Tuberculosis incidence after human immunodeficiency virus confirmation
A total of 428 children included in the study were followed for up to 60 months. The median follow-up duration was 32.5 months (IQR, 12.30 to 50.13), and the minimum and the maximum follow-up times were 0.63 and 60 months, respectively. Of the total observations, 275 (64.2%) were alive at the end of follow-up, 69 (16.1%) had died, 60 (14.0%), had been lost to follow-up, and 24 (5.6%) had been transferred out. The incidence rate in this cohort was found to be 6.03 per 100 child-years of observation. There were 67 new TB cases observed during follow-up. The incidence rate of TB during the pre-ART and ART periods was 5.97 and 2.36 per 100 person-years observation, respectively. The cumulative survival probabilities at 6, 12, 18, 36, and 60 months after confirmation of HIV status were 0.96, 0.93, 0.91, 0.84, and 0.75, respectively. The mean survival time of the entire cohort was found to be 31.10 months (95% CI, 29.20 to 33.01) and the cohort experienced a total of 13,314.63 person-months of follow-up (Figure 1).
Survival function according to cotrimoxazole preventive therapy
To test the equality of the survival curves obtained using different categorical explanatory variables, the Cochran-Mantel-Haenszel log-rank test was performed. The test statistics showed that there was a significant difference in survival function for different categorical variables. One of these differences was observed among those who received CPT and those who did not.
In this historical cohort, the study participants who did not receive CPT had a shorter survival time than their counterparts (p< 0.001).
The mean±SD survival time for those who received CPT was found to be 55.10±0.90 months, as compared to 34.91±4.18 months in those who did not receive CPT. This difference was statistically significant (p<0.001) (Figure 2).
Predictors of tuberculosis occurrence
The relationships between the baseline variables and the incidence of TB were analyzed using a bivariate Cox proportional hazards regression model. The results of the bivariate analysis showed associations with TB incidence for a wide range of factors, including an age of 6-10 years, living in an urban setting, a family size ≥3, hemoglobin levels <10 g/dL, ambulatory and bedridden functional status, WHO clinical stages III and IV, underweight (moderate and severe), stunting (moderate), wasting (moderate and severe), not receiving CPT or IPT, and not being vaccinated. However, sex, CD4 count, and the remaining 3 variables (parental status, care givers, and developmental history) did not show significant associations. Considering the threshold of a p-value ≤0.25, these variables were not entered into the multivariable Cox proportional hazards model.
In the multivariable Cox proportional hazards model, only 6 variables were associated with the incidence of TB. The multivariable analysis revealed that children who had not taken cotrimoxazole at baseline were at a 2.41 times higher risk of developing TB than those who had taken cotrimoxazole at baseline (adjusted hazard ratio [aHR], 2.41; 95% CI, 1.07 to 5.45). Children who did not receive IPT were at an 8.23 times higher risk of developing TB than those who did (aHR, 8.23; 95% CI, 2.11 to 32.06). The risk of developing TB in children who had not received the BCG vaccine was 3.73 times higher than in their counterparts who had been vaccinated (aHR, 3.73; 95% CI, 1.59 to 8.76).
Children with a hemoglobin level less than 10 g/dL were at a 7.04 times higher risk of developing TB than those with a hemoglobin level greater than or equal to 10 g/dL (aHR, 7.04; 95% CI, 1.03 to 48.15). Children who were moderately underweight at the beginning of ART were at a 5.19 higher risk of developing TB than those who were not underweight (aHR, 5.19; 95% CI, 1.89 to 14.21). Furthermore, children with moderate wasting were at a 2.86 times higher risk of developing TB than those with no wasting (aHR, 2.86; 95% CI, 1.02 to 7.99) (Table 4).
The TB incidence rate observed in this study (6.03 per 100 child-years) is consistent with 2 studies conducted in northern Ethiopia and 1 conducted in Tanzania, which reported rates of 4.2, 4.9, and 5.2 per 100 child-years respectively [14-16]. In our study, HIV-positive children with baseline anemia had a 7.04 times higher risk of developing TB than non-anemic children. This finding is similar to those of studies conducted in northern Ethiopia [14,15] and Tanzania [16].
Our study showed that children who did not receive IPT were at a 8.23 times higher risk of developing TB than their counterparts. This finding is also similar to that of a previous study done in northern Ethiopia [15]. This could be due to the fact that IPT decreases the mycobacterium load and reduces the progression of latent bacilli to active TB [17].
BCG vaccination status was also found to be a significant predictor in our study, as children who had not been vaccinated had a nearly 4-fold higher risk of TB than their vaccinated counterparts. This finding is similar to the results of a study from Tanzania. It is also supported by prior studies showing that BCG vaccination considerably reduced the risk of TB among individuals with and without HIV infection [14,18]. Underweight was also found to be an independent predictor of TB incidence. This finding is consistent with those of studies done in Kenya and the Democratic Republic of Congo [19,20].
Limitations of this study include the fact that some data, such as history of TB exposure, were frequently missing and therefore could not be included in the analysis. It was also not possible to measure some data such as household income, housing condition, HIV viral load, and other potentially important predictors of TB.
In conclusion, there was a high rate of early incidence of TB among children living with HIV, especially in their first year of enrollment in chronic HIV care. The incidence of TB was high before ART. Baseline malnutrition in the form of moderate underweight and moderate wasting, not receiving CPT or IPT, not being vaccinated, and anemia were all found to be independent predictors of TB occurrence among HIV-positive children. This might have been due to the fact that 81.1% of our study participants took ART regimens of 4c (AZT-3TC-NVP) or 4d (AZT-3TC-EVF) during their follow-up period. AZT is known to be one of the most common causes of megaloblastic anemia, which is in turn closely associated with pancytopenia. This condition imposes a double burden on children with HIV and makes them vulnerable to infections, including TB.
We recommend that TB/HIV collaborative long-term surveillance programs should be strengthened at chronic HIV care clinics. Further prospective studies should also be conducted by incorporating important predictors of TB occurrence, such as viral load.

The authors have no conflicts of interest to declare for this study.

We would like to thank Addis Ababa University School of Nursing and Midwifery for providing the opportunity to develop this research thesis. We would like to thank Mr. Fira Abbamecha and Mr. Kefaylew Addis for their valuable support during the proposal development. Our gratitude also goes to the data collectors and chronic HIV care clinic staff members at Adama Referral Hospital and Medical College. Last but not the least, the authors would like to thank Dr. Nichole Starr for her extensive efforts in improving the English language and some methodological aspects of this paper.


Conceptualization: MTB, AHB, TMD. Data curation: MTB, AHB, KGT, TMD. Formal analysis: MTB, AHB, KGT, TMD. Funding acquisition: MTB, AHB, TMD. Methodology: MTB, AHB, KGT, TMD. Project administration: MTB, AHB, TMD. Visualization: MTB, AHB, KGT, TMD. Writing – original draft: MTB, KGT, TMD. Writing – review & editing: MTB, AHB, KGT, TMD.

Figure 1.
Overall Kaplan-Meier survival curve with 95% confidence intervals (CIs) for tuberculosis-free survival among children receiving chronic human immunodeficiency virus care at Adama Referral Hospital and Medical College.
Figure 2.
Kaplan-Meier survival curve for tuberculosis-free survival based on cotrimoxazole preventive therapy among children receiving chronic human immunodeficiency virus care at Adama Referral Hospital and Medical College (n=362). ***p<0.001.
Table 1.
Baseline socio-demographic characteristics of children living with HIV treated at Adama Referral Hospital and Medical College
Variables n (%)
 Male 222 (51.9)
 Female 206 (48.1)
Age (yr)
 ≤5 183 (42.8)
 6-10 153 (35.7)
 ≥11 92 (21.5)
 Urban 293 (68.5)
 Rural 135 (31.5)
Family size (n)
 ≤2 84 (19.6)
 3-4 242 (56.6)
 ≥5 102 (23.8)
Caregiver of the child
 Parents 375 (87.6)
 Sibling 12 (2.8)
 Grandparent 26 (6.1)
 Guardians 13 (3.0)
 Orphanage centers 2 (0.5)

HIV, human immunodeficiency virus.

Table 2.
Baseline clinical, laboratory, and ART information for children living with HIV/AIDS treated at Adama Referral Hospital and Medical College
Variables n (%)
Functional status (age ≥5 yr) (n=270)
 Working 123 (45.6)
 Ambulatory 134 (49.6)
 Bedridden 13 (4.8)
Developmental history (age <5 yr) (n=158)
 Appropriate 65 (41.1)
 Delayed 84 (53.2)
 Regressive 9 (5.7)
WHO clinical stage
 I or II 237 (55.4)
 III or IV 191 (44.6)
CD4 count or percent
 Below the threshold 124 (29.0)
 Above the threshold 304 (71.0)
Hemoglobin level (g/dL)
 <10 298 (69.6)
 ≥10 130 (30.4)
ART eligibility criteria
 CD4 cell count 121 (28.3)
 WHO clinical stage 50 (11.7)
 Both 171 (39.9)
 Not recorded 86 (20.1)
Cotrimoxazole preventive therapy (n=362)
 Yes 339 (93.6)
 No 23 (6.3)
Isoniazid preventive therapy (n=362)
 Yes 154 (42.5)
 No 208 (57.5)
Types of TB (n=67)
 Pulmonary TB 55 (82.1)
 Extrapulmonary TB 12 (17.9)
Time TB developed (n=67)
 Pre-ART 48 (71.6)
 ART 19 (28.4)

ART, antiretroviral therapy; WHO, World Health Organization; TB, tuberculosis.

Table 3.
Baseline nutritional status of HIV-positive children categorized by age at Adama Referral Hospital and Medical College
Nutritional parameter Age (yr)
Total (n=428)
≤5 (n=183) 6-10 (n=153) ≥11 (n=92)
Normal WFA 144 125 47 316
Moderate underweight (< -2 SD) 30 17 39 86
Severe underweight (< -3 SD) 9 11 6 26
Normal HFA 162 131 68 361
Moderate stunting (< -2 SD) 13 13 20 46
Severe stunting (< -3 SD) 8 9 4 21
Normal WFH 146 119 90 355
Moderate wasting (< -2 SD) 23 28 2 53
Severe wasting (< -3 SD) 14 6 0 20

HIV, human immunodeficiency virus; WFA, weight for age; HFA, height for age; WFH, weight for height; SD, standard deviation.

Table 4.
Bivariate and multivariable Cox regression proportional hazards regression analysis of predictors of tuberculosis incidence among HIV-infected children at Adama Referral Hospital and Medical College
Variables Survival status, n (%)
cHR (95% CI) aHR (95% CI) p-value
Censored Event
Age (yr)
 ≤5 171 (39.9) 12 (2.8) 0.12 (0.06, 0.24) 0.78 (0.92, 1.44) 0.61
 6-10 129 (30.1) 24 (5.6) 0.29 (0.16, 0.50) 1.53 (0.80, 1.72) 0.57
 ≥11 61 (14.2) 31 (7.2) 1.00 (reference) 1.00 (reference)
 Urban 237 (55.4) 56 (13.1) 1.00 (reference) 1.00 (reference)
 Rural 124 (29.0) 11 (2.6) 0.40 (0.21, 0.76) 0.84 (0.27, 2.55) 0.78
Family size (n)
 ≤2 77 (18.0) 7 (1.7) 1.00 (reference) 1.00 (reference)
 3-4 202 (47.2) 40 (9.3) 2.41 (1.07, 5.39) 2.74 (0.72, 10.44) 0.14
 ≥5 82 (19.1) 20 (4.7) 2.37 (1.00, 5.62) 2.36 (0.54, 10.15) 0.25
Functional status
 Working 113 (26.4) 10 (2.3) 1.00 (reference) 1.00 (reference)
 Ambulatory 91 (5.6) 43 (10.0) 3.35 (1.68, 6.67) 1.02 (0.39, 2.68) 0.95
 Bedridden 8 (1.9) 5 (1.2) 5.82 (1.98, 17.05) 3.01 (0.51, 17.71) 0.22
WHO clinical staging
 I or II 202 (47.2) 35 (8.2) 1.00 (reference) 1.00 (reference)
 III or IV 159 (37.1) 32 (7.5) 1.35 (0.83, 2.19) 1.30 (0.67, 2.51) 0.43
Hemoglobin level (g/dL)
 <10 239 (60.0) 59 (13.1) 3.48 (1.66, 7.29) 7.04 (1.03, 48.15) 0.04
 ≥10 122 (24.3) 8 (2.6) 1.00 (reference) 1.00 (reference)
Cotrimoxazole preventive therapy
 Yes 303 (70.8) 36 (8.4) 1.00 (reference) 1.00 (reference)
 No 10 (2.3) 13 (3.0) 6.00 (3.17, 11.36) 2.41 (1.07, 5.45) 0.03
Isoniazid preventive therapy
 Yes 149 (34.8) 5 (1.2) 1.00 (reference) 1.00 (reference)
 No 164 (38.3) 44 (10.3) 8.48 (3.36, 21.44) 8.23 (2.11, 32.06) 0.002
BCG vaccination status
 Vaccinated 211 (49.3) 15 (3.5) 1.00 (reference) 1.00 (reference)
 Not vaccinated 86 (20.1) 48 (11.2) 6.70 (3.74, 11.98) 3.73 (1.59, 8.76) 0.002
Underweight (WFA)
 Normal 290 (67.7) 26 (6.1) 1.00 (reference) 1.00 (reference)
 Moderate underweight 49 (11.4) 37 (8.6) 7.50 (4.52, 12.45) 5.19 (1.89, 14.21) 0.001
 Severe underweight 22 (5.1) 4 (0.9) 3.52 (1.22, 10.12) 1.34 (0.00, ...)1 1.00
Wasting (WFH)
 Normal 303 (70.8) 52 (12.1) 1.00 (reference) 1.00 (reference)
 Moderate wasting 39 (6.4) 14 (3.3) 2.32 (1.23, 4.04) 2.86 (1.02, 7.99) 0.04
 Severe wasting 19 (4.4) 1 (0.2) 0.31 (0.04, 2.29) 2.39 (0.22, 25.19) 0.47

HIV, human immunodeficiency virus; cHR, crude hazard ratio; aHR, adjusted hazard ratio; CI, confidence interval; WHO, World Health Organization; BCG, Bacillus Calmette–Guérin; WFA, weight for age; WFH, weight for height.

1 The lower boundary is zero and the upper is not given by analysis.

  • 1. World Health Organization. Priority research questions for TB/HIV in HIV-prevalent and resource-limited settings; 2010 [cited 2019 Jul 20]. Available from: https://apps.who.int/iris/bitstream/handle/10665/44431/9789241500302_eng.pdf;jsessionid=AF7268E274773C9F21A68160B7D91DEC?sequence=1.
  • 2. TB Alert. Global TB challenges [cited 2019 Jul 20]. Available from: https://www.tbalert.org/about-tb/global-tb-challenges/.
  • 3. World Health Organization. Global tuberculosis report; 2015 [cited 2019 Jul 20]. Available from: https://apps.who.int/iris/bitstream/handle/10665/191102/9789241565059_eng.pdf?sequence=1.
  • 4. Dodd PJ, Yuen CM, Sismanidis C, Seddon JA, Jenkins HE. The global burden of tuberculosis mortality in children: a mathematical modelling study. Lancet Glob Health 2017;5:e898. e906.ArticlePubMedPMC
  • 5. Schmit KM, Wansaula Z, Pratt R, Price SF, Langer AJ. Tuberculosis-United States, 2016. MMWR Morb Mortal Wkly Rep 2017;66:289-294.ArticlePubMed
  • 6. Centers for Disease Control and Prevention. TB in specific populations. [cited 2019 Jul 20]. Available from:https://www.cdc.gov/tb/topic/populations/default.htm.
  • 7. Janssens JP, Rieder HL. An ecological analysis of incidence of tuberculosis and per capita gross domestic product. Eur Respir J 2008;32:1415-1416.ArticlePubMed
  • 8. Buck WC, Olson D, Kabue MM, Ahmed S, Nchama LK, Munthali A, et al. Risk factors for mortality in Malawian children with human immunodeficiency virus and tuberculosis co-infection. Int J Tuberc Lung Dis 2013;17:1389-1395.ArticlePubMedPMC
  • 9. US Agency for International Development. Tuberculosis profile: Ethiopia. [cited 2019 Jul 31]. Available from: https://www.usaid.gov/ethiopia/global-health/tuberculosis.
  • 10. Marais BJ, Graham SM. Childhood tuberculosis: A roadmap towards zero deaths. J Paediatr Child Health 2016;52:258-261.ArticlePubMed
  • 11. Seddon JA, Shingadia D. Epidemiology and disease burden of tuberculosis in children: a global perspective. Infect Drug Resist 2014;7:153-165.PubMedPMC
  • 12. World Health Organization. Antiretroviral therapy for HIV infection in infants and children: recommendations for a public health approach-2010 revision. [cited 2019 Jul 20]. Available from: https://apps.who.int/iris/bitstream/handle/10665/164255/9789241599801_eng.pdf?sequence=1.
  • 13. Adama Referral Hospital and Medical College. Antiretroviral therapy monthly report. Adama: Adama Referral Hospital and Medical College; 2017.
  • 14. Ayalaw SG, Alene KA, Adane AA. Incidence and predictors of tuberculosis among HIV positive children at University of Gondar Referral Hospital, northwest Ethiopia: a retrospective follow-up study. Int Sch Res Notices 2015;2015:307810.ArticlePubMedPMCPDF
  • 15. Alemu YM, Andargie G, Gebeye E. High incidence of tuberculosis in the absence of isoniazid and cotrimoxazole preventive therapy in children living with HIV in northern Ethiopia: a retrospective follow-up study. PLoS One 2016;11:e0152941.ArticlePubMedPMC
  • 16. Li N, Manji KP, Spiegelman D, Muya A, Mwiru RS, Liu E, et al. Incident tuberculosis and risk factors among HIV-infected children in Tanzania. AIDS 2013;27:1273-1281.ArticlePubMedPMC
  • 17. Wilkinson D. Drugs for preventing tuberculosis in HIV infected persons. Cochrane Database Syst Rev; 2000. CD000171.
  • 18. Faurholt-Jepsen D, Range N, Praygod G, Jeremiah K, Faurholt-Jepsen M, Aabye MG, et al. BCG protects against tuberculosis irrespective of HIV status: a matched case-control study in Mwanza, Tanzania. Thorax 2013;68:288-289.ArticlePubMed
  • 19. Abuogi LL, Mwachari C, Leslie HH, Shade SB, Otieno J, Yienya N, et al. Impact of expanded antiretroviral use on incidence and prevalence of tuberculosis in children with HIV in Kenya. Int J Tuberc Lung Dis 2013;17:1291-1297.ArticlePubMedPMC
  • 20. Auld AF, Tuho MZ, Ekra KA, Kouakou J, Shiraishi RW, Adjorlolo-Johnson G, et al. Tuberculosis in human immunodeficiency virus-infected children starting antiretroviral therapy in Côte d’Ivoire. Int J Tuberc Lung Dis 2014;18:381-387.ArticlePubMed

Figure & Data



    Citations to this article as recorded by  
    • Incidence and Predictors of Pulmonary Tuberculosis among Children Who Received Antiretroviral Therapy (ART), Northwest Ethiopia: A Multicenter Historical Cohorts Study 2009–2019
      Fassikaw Kebede, Habtamu Tarekegn, Mulugeta Molla, Dube Jara, Abebe Abate, Maoshui Wang
      Journal of Tropical Medicine.2022; 2022: 1.     CrossRef
    • Global trends, regional differences and age distribution for the incidence of HIV and tuberculosis co-infection from 1990 to 2019: results from the global burden of disease study 2019
      Yaping Wang, Wenzhan Jing, Jue Liu, Min Liu
      Infectious Diseases.2022; 54(11): 773.     CrossRef
    • Bayesian parametric modeling of time to tuberculosis co-infection of HIV/AIDS patients at Jimma Medical Center, Ethiopia
      Abdi Kenesa Umeta, Samuel Fikadu Yermosa, Abdisa G. Dufera
      Scientific Reports.2022;[Epub]     CrossRef
    • Tuberculosis prevalence, incidence and prevention in a south african cohort of children living with HIV
      Gloria Ebelechukwu Anyalechi, Rommel Bain, Gurpreet Kindra, Mary Mogashoa, Nonzwakazi Sogaula, Anthony Mutiti, Stephen Arpadi, Emilia Rivadeneira, Elaine J Abrams, Chloe A Teasdale
      Journal of Tropical Pediatrics.2022;[Epub]     CrossRef
    • Survival and predictors of mortality among HIV-infected adults receiving ART in Hawassa comprehensive specialized hospital, Sidama regional state, Ethiopia
      Balta Bargude, Fanta Amanuel
      Journal of Advanced Pediatrics and Child Health.2022; 5(1): 042.     CrossRef
    • Anemia as a risk factor for tuberculosis: a systematic review and meta-analysis
      Yemataw Gelaw, Zegeye Getaneh, Mulugeta Melku
      Environmental Health and Preventive Medicine.2021;[Epub]     CrossRef
    • Incidence and predictors of tuberculosis among HIV patients after initiation of antiretroviral treatment in Ethiopia: a systematic review and meta-analysis
      Melkalem Mamuye Azanaw, Nebiyu Mekonnen Derseh, Gebeyehu Shumuye Yetemegn, Dessie Abebaw Angaw
      Tropical Medicine and Health.2021;[Epub]     CrossRef
    • Effect of Isoniazid Preventive Therapy on the Incidence of Tuberculosis among Seropositive Children Attending HIV/AIDS Care in Two General Hospitals, Northwest Ethiopia, 2021
      Fassikaw Kebede, Birhanu Kebede, Tsehay Kebede, Melaku Agmasu, Maoshui Wang
      Journal of Tropical Medicine.2021; 2021: 1.     CrossRef
    • Time to Develop and Predictors for Incidence of Tuberculosis among Children Receiving Antiretroviral Therapy
      Fassikaw Kebede, Tsehay Kebede, Birhanu Kebede, Abebe Abate, Dube Jara, Belete Negese, Tamrat Shaweno, Karl Drlica
      Tuberculosis Research and Treatment.2021; 2021: 1.     CrossRef
    • Effect of highly active antiretroviral treatment on TB incidence among HIV infected children and their clinical profile, retrospective cohort study, South West Ethiopia
      Firew Tiruneh, Yared Deyas
      Scientific Reports.2020;[Epub]     CrossRef


    Epidemiol Health : Epidemiology and Health