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research paper

Indian Pediatr 2018;55:301-305

Survival of Children Living with Human Immunodeficiency Virus on Antiretroviral Therapy in Andhra Pradesh, India

 

Ugra Mohan Jha1, Neeraj Dhingra1, Yujwal Raj2, Bharat Bhusan Rewari1, L Jeyaseelan3, Pauline Harvey4, Laxmikant Chavan5, Niranjan Saggurti6 and DCS Reddy2

From 1National AIDS Control Organization, New Delhi; 2Independent consultants, New Delhi; 3Christian Medical College, Vellore; 4Center for Disease Control and Prevention, Global Health-India, New Delhi; 5World Health Organization, New Delhi; and 6Bill and Melinda Gates Foundation, New Delhi; India.

Correspondence to: Ugra Mohan Jha, National AIDS Control Organization, New Delhi, India.
Email: [email protected]

Received: May 24, 2016;
Initial review: August 31, 2016;
Accepted: January 23, 2018.
Published online: February 09, 2018.

 PII:S097475591600107

 


Objectives:
To assess the survival probability and associated factors among children living with human immunodeficiency virus (CLHIV) receiving antiretroviral therapy (ART) in India.

Methods: The data on 5874 children (55% boys) from one of the high HIV burden states of India from the cohort were analyzed. Data were extracted from the computerized management information system of the National AIDS Control Organization (NACO). Children were eligible for inclusion if they had started ART during 2007-2013, and had at least one potential follow-up. Kaplan Meier survival and Cox proportional hazards models were used to measure survival probability.

Results: The baseline median (IQR) CD4 count at the start of antiretroviral therapy was 244 (153, 398). Overall, the mortality was 30 per 1000 child years; 39 in the <5 year age group and 25 in 5-9 year age group. Mortality was highest among infants (86 per 1000 child years). Those with CD4 count ³200 were six times more likely to die (adjusted HR: 6.3, 95% CI 3.5, 11.4) as compared to those with a CD4 count of ³350/mm3.

Conclusion: Mortality rates among CLHIV is significantly higher among children less than five years when the CD4 count at the start of ART is above 200. Additionally, lower CD4 count, HIV clinical staging IV, and lack of functional status seems to be associated with high mortality in children who are on ART.

Keywords: HIV, Mortality, Outcome, Predictors, Treatment.



I
ndia has witnessed a decline in mortality among people (including children) living with human immunodeficiency virus (HIV) who are on antiretroviral therapy (ART), during 2007-2011 [1]. This decline in mortality is argued to be attributed to the scale-up of ART in the country [2]. Globally, half the Children living with HIV (CLHIV) die of Acquired immune deficiency syndrome (AIDS) before their second birthday, and one-third during infancy in the absence of ART [3]. On the other hand, ART coverage for CLHIV had been scaled up significantly across the country during 2007 to 2013 [2]. Studies that examine the mortality/survival status of children who are on ART are scarce in India.

The National AIDS Control Organisation (NACO) revealed an overall decline in people dying of AIDS related causes during 2007-2013; however, not much improvement was noted for children. This study was, therefore, conducted to assess the mortality among CLHIV receiving ART during 2007-2013, and the factors influencing the same.

Methods

We analyzed records of 5874 CLHIV under 15 years of age, who had been initiated on ART between January 2007 and December 2013. Data were obtained from 45 ART centres across 23 districts in high HIV prevalence settings (combined Andhra Pradesh and Telangana) in India. These ART centres were set up at different points of time during 2007 to 2013. The patients’ ART identification numbers were used to extract information from the patients’ records entered in electronic Computerized Management Information System Software (CMIS). The information on socio-demographic characteristics, baseline clinical and laboratory measurement, and treatment outcomes were extracted from the database, and the primary outcome measure of patient mortality (time death) was noted.

Data were analyzed using the Kaplan Meier survival and Cox proportional hazard model to measure survival and identify independent predictors of mortality of CLHIVs on ART. Cox proportional hazard ratios (HR) and adjusted hazard ratios (AHR) with 95% confidence intervals were used to assess the effect of baseline predictors on the survival of children on ART. Key variables used in the analysis included: gender, educational status (no schooling, attended school, information missing), CD4 count at ART initiation (£ 200, 201-250, 251-350, ³350), age at registration, age at start of ART (0-4 years, 5-9 years, 10-14 years), follow-up at most recent visit, CD4 count at ART initiation, WHO clinical stage (I, II, III, IV) and functional status (ambulatory, bed ridden and functional).

This study follows Cox regression model fulfilling the assumption of "non-informative censoring". The incidence rates of mortality, the primary end point of interest, were calculated by dividing the number of deaths by the total number of person-years. For each member of the cohort, person-years at risk were measured from the start date of ART until the date of the most recent clinic visit. Kaplan-Meier methods were used to assess the cumulative probability of survival after the start of ART. For analysis and compilation of data SPSS 20.0, STATA 12.0 and MS Excel were used.

Results

Of the 5874 children who were included in the analyses, 4461 (76%) children were alive, 336 (6%) died, and 760 (13%) were transferred out of the facility over the study period (Fig. 1). Table I depicts the characteristics of child-ren included in the study. The median (IQR) age at the start of ART was 8 (5,11) years. The median (IQR) CD4 count at the start of ART was 244 (153, 398)/mm3. The age-specific mortality rate among children on ART was highest among children younger than 5 years (Table II).

Fig. 1 Flow diagram of distribution of HIV +ve children included in the study.

TABLE I	Characteristics of Children  on Antiretroviral Therapy (N=5874) 
Variables Number (%)
Male gender 3245 (55.2)
Age  group 
0-4 y 967 (16.5)
5-9 y 2558 (43.5)
10-14 y 2349 (40)
CD4 count at start of ART (n=4843) 
200 1814 (37.5)
201-250 680 (14)
251 – 350 970 (20)
351+ 1379 (28.5)
HIV clinical stage (n=4981) 
I+II 3354 (57.1)
III 1398 (23.8)
IV 229 (3.9)
Functional status (n=4991) 
Ambulatory 316 (6.3)
Bedridden 65 (1.3)
Functional 4610 (92.4)
Treatment outcomes  
Alive 4461 (75.9)
Died 336 (5.7)
Transfer out 760 (12.9)
Lost to follow-up 317 (5.4)

 

TABLE II  Age-specific Mortality Rates Among Children in Present Study
Age group Number at the Number of  Number of Total child- Incidence mortality rates CD4 count (per mm3)
start of ART LFU deaths years (per 1000 person years)   Median (IQR)
0 – 4 y 967 65 73 1884 39 341 (195,766)
5 – 9 y 2558 108 132 5357 25 240 (155,383)
10 – 14 y 2349 144 131 4107 32 227 (139, 336)
Total 5874 317 336 11348 30 244 (153, 398)
ART: anti-retroviral therapy; IQR: inter quartile range; LFU: Lost to follow-up.

Children with CD4 count £200 were six times more likely to die (Adjusted Hazard Risk Ratio (AHR): 6.3; 95% CI 3.5-11.4) as compared to those with a higher CD4 count (³350) (Table III). Children who were in HIV clinical stage IV were three times more likely to die (AHR 3.2, 95% CI 1.9-5.3) as compared to those in the clinical stage I and II. Bedridden children were 4.5 times more likely to die (AHR 4.5; 95% CI 2.2-9.4) as compared to the children who were functional (Table III). There was no interaction effect between the child’s age and CD4 count. Baseline CD4 count had independent risk and the incidence was around 90, which is 3 times higher than the overall incidence density of 30. In the category with CD4 count 201-250, age (under 5 years) was a significant predictor, with mortality of 100 per 1000 person years, which was more than 3 times higher than the overall mortality of 30 per 1000 person years and also two and half times that (HR 2.621, 95% CI 1.05-6.52) observed in the 10-14 years age-group (P<0.05).

TABLE III  Factors Associated with Mortality Among Children on ART (N=5874)
Characteristics Censored Dead Unadjusted Hazard ratio Adjusted Hazard ratio 
(95% CI) (95% CI)
Age at ART initiation
0 – 4 years 894 73 1.34 (1.01, 1.78)# 0.48 (0.22, 1.08)
5 – 9 years 2426 132 0.88 (0.68, 1.12) 0.84 (0.62, 1.14)
10 – 14 years 2218 131 Reference Reference
Gender
Male 3050 195 1.12 (.90-1.39) 1.20 (0.90,1.62)
Female 2488 141 Reference Reference
CD4 count at ART initiation
200 1656 158 4.45 (2.29, 6.62) 6.27 (3.46, 11.36)
201-250 647 33 2.48 (1.51, 4.09) 2.97 (1.45, 6.09)
251 – 350 927 43 2.32 (1.45, 3.72) 3.241 (1.66, 6.32
351+ 1350 29 Reference Reference
WHO clinical stage
I/II 3218 136 Reference Reference
III 1293 105 1.82 (1.41, 2.34) 1.38 (1.01, 1.91)#
IV 188 41 4.89 (3.45, 6.95) 3.18 (1.92, 5.28
Functional status
Ambulatory 272 44 3.13 (2.27, 4.34) 2.263 (1.44, 3.55)
Bed  ridden 41 24 10.06 (6.60, 15-36) 4.51 (2.17, 9.36)
Functional 4385 225 Reference Reference
#P<0.05; P<0.001.

Out of those children who died, 37% died within a month of starting ART, and 74% by six months. The overall estimated cumulative survival probability was 0.948 (95% CI 0.94-0.95) after 12 months, and 0.911 (95% CI 0.89-0.92) after 60 months. In the younger (<5 years) age group, cumulative survival probability at 12 months was 0.929 (95% CI 0.91-0.94) and 0.897 (95% CI 0.86-0.92) after 60 months. In the older age group (10 years and above), the cumulative survival probability after 12 months was 0.949 (95% CI 0.93-0.95) and after 60 months was 0.889 (95% CI 0.85-0.91) (Fig. 2).

Fig. 2 Survival curves of HIV-positive children by age.

Discussion

Our findings indicate high levels of mortality among CLHIV. The incidence mortality rates are marginally higher amongst the youngest children (less than five years) than those among the older children. The corresponding probability of survival among children living with HIV is 95% after 12 months follow-up and 91% after 60-month from the start of their ART initiation. Results further suggest that CD4 count at ART initiation, WHO clinical staging and functional status of children at the time of baseline seems to independently determine the subsequent survival status of the children.

These results are comparable with earlier research from Gujarat (India) that suggested similar (but lower) survival probability of 86% after 36 months from the start of ART among children [10]. This suggests an improvement in child survival over time in India. The child mortality (30 per 1000 child years) in the current study found to be lower when compared to two different cohort studies conducted in Kenya which reported an overall mortality as 47 and 84 deaths per 1000 child years) [6,7]. The timing of deaths after start of ARI in this study is consistent with study results from northwest Ethiopia which showed that majority (90%) of the deaths occurred within the first year of treatment, and almost 50% within the first month [3,4,8].

The present study findings are important given the paucity of literature documenting the survival status of children who are on ART in India. However, the results must be considered in light of certain limitations. First, this is a secondary data analyses and is limited in terms of the number of variables or information available in the data base leading to several unexplained variations in the results. For example, the lack of key clinical data around weight, height, hemoglobin and body mass index (BMI) of children, and demographic information such as parental survival status, economic status limits our ability to interpret the data. Due to the retrospective nature of this study, several critical variable were missing for several children whose data could not be included. Since, the analyses was carried out taking a cohort of CLHIV who had been initiated on ART over a period six years, there may have been variations in survival status of children with the maturity of ART era. Future research could examine the survival status of children who are on ART at various time points during the ART era and also understand the reasons behind high mortality among specific sub-groups of children.

Despite these limitations, the present results document the mortality rates among a large number of children who have initiated ART during the early stage of ART introduction in India. The findings show that children less than five years, those with CD4 count less than or equal to 200/mm3 at the start of ART, and those in the clinical stage III or IV are more vulnerable to mortality. Thus, greater emphasis is needed to improve early HIV diagnosis and treatment in the young age group. Also, large-scale and long-term research is needed to confirm some of the current findings and also to ascertain the reasons for high mortality among children less than five years.

 

What Is Already Known?

Previous research has documented a survival probability of 90% in children living with HIV at 12 months.

What This Study Adds?

Survival probability of children living with HIV at 12 months in our set-up was 95%.

Lower CD4 count, worse clinical staging and functional status independently determine the mortality among children with HIV.

References

1. National AIDS Control Organisation-National Institute of Medical Sciences, Technical Report of HIV Estimation. New Delhi: National AIDS Control Organisation, Ministry of Health and Family Welfare, Governmnet of India; 2012. p.1-69.

2. National AIDS Control Organisation, Annual Report 2012-13. National AIDS Control Organisation, Ministry of Health and Family Welfare, Governmnet of India; 2013. p.iv-98

3. Koye DN, Ayele TA, Zeleke BM. Predictors of mortality among children on antiretroviral therapy at a referral hospital, Northwest Ethiopia: A retrospective follow up study. BMC Pediatr. 2012;12:161.

4. Gebremedhin A, Gebremariam S, Haile F, Weldearegawi B, Decotelli C. Predictors of mortality among HIV-infected children on anti-retroviral therapy in Mekelle Hospital, Northern Ethiopia: A retrospective cohort study. BMC Public Health. 2013;13:1047.

5. National AIDS Control Organisation. State Fact Sheet. New Delhi: Department of AIDS Control, Ministry of Health, Government of India; 2013. p.7-49

6. Wamalwa DC, Farquhar C, Obimbo EM, Selig S, Mbori-Ngacha DA, Richardson BA, et al. Early response to highly active antiretroviral therapy in hiv-1-infected Kenyan children. J Acquir Immune Defic Syndr. 2007;45:311-7.

7. Wamalwa DC, Obimbo EM, Farquhar C, Richardson BA, Mbori-Ngacha DA, Inwani I, et al. Predictors of mortality in HIV-1 infected children on antiretroviral therapy in Kenya: A prospective cohort. BMC Pediatr. 2010;10:33.

8. Rajasekaran S, Jeyaseelan L, Ravichandran N, Gomathi C, Thara F, Chandrasekar C. Efficacy of antiretroviral therapy program in children in India: prognostic factors and survival analysis. J Trop Pediatr. 2009;55:225-32.

9. Isaakidis P, Raguenaud M-E, Vantha T, S Tray C, Akao K, Kumar V, et al. High survival and treatment success sustained after two and three years of first-line ART for children in Cambodia. J Int AIDS Soc. 2010;13:11.

10. Ryavanki SP KJ, Dayama SO, Mehta A, Solanki N, Trivedi SS. Survival probabilities of paediatric patients registered in ART centre at New Civil Hospital, Surat. Natl J Community Med. 2013;4:4-9.

11. Sauvageot D, Schaefer M, Olson D, Pujades-Rodriguez M, O’Brien DP. Antiretroviral therapy outcomes in resource-limited settings for HIV-infected children <5 years of Age. Pediatrics. 2010; 125:e1039-47.

12. Callens SF, Kitetele F, Lusiama J, Shabani N, Edidi S, Colebunders R, et al. Computed CD4 percentage as a low-cost method for determining pediatric antiretroviral treatment eligibility. BMC Infect Dis. 2008;8:31.

13. World Health Organization. Consolidated ARV Guidelines: 2013. Available from: http://www.who.int/hiv/pub/guidelines/arv2013/art/statartadolescents_rationale/en/. Accessed March 21, 2016.

 

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