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. 2023 Jul 20;18(7):e0288475. doi: 10.1371/journal.pone.0288475

Time to death and its predictors among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Addis Ababa, Ethiopia, a retrospective follow up study

Enyew Mekonnen 1, Mikias Arega 2, Dawit Misganaw Belay 3,*, Dires Birhanu 4, Tadlo Tesfaw 5, Habtamu Ayele 2, Keralem Anteneh Bishaw 2
Editor: Daniel Bekele Ketema6
PMCID: PMC10358914  PMID: 37471340

Abstract

Background

Child mortality remains a global public health problem, particularly in Sub-Saharan Africa. After initiating ART, the mortality rate among HIV-infected children in Ethiopia was 12–17 deaths per 1000 child-year.

Objective

To determine the time to death and its predictors among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia, from April 12, 2017, to May 12, 2022.

Method

An institution-based retrospective follow-up study was conducted among 415 HIV-infected children at selected public hospitals of the Addis Ababa town administration. Computer generated simple random sampling technique was used to select each sampling unit. Data was extracted using a structured data extraction checklist. Data were entered into EPI data 4.2 and analyzed using STATA 14. The child mortality rate was calculated. The Cox proportional hazards regression model was fitted to identify predictor factors. The result of the study was presented using text, tables, graphs, and charts. An adjusted hazard ratio with a 95% confidence interval and a p-value less than 0.05 was used to declare the level of significance.

Result

A total of 415 (97.42%) of the 426 children on ART were included for analysis. Of these, 41(9.88%) children were died during the following period. The study participants were followed for a total of 8237 person- months of risk time. The overall mortality rate was 4.98 (95% CI: 3.67–6.77) per 1000 child-months. The estimated survival after starting ART was 61.42% at 56 months of follow-up. Severe underweight (AHR = 3.19; 95% CI: 1.32–7.71), tuberculosis (AHR = 3.86; CI: 1.76–8.47), low hemoglobin level (AHR = 2.51; CI: 1.02–6.20), and advanced WHO clinical stages at enrolment (AHR = 3.38; CI: 1.08–10.58) were predictors of death among HIV-infected under-five children on ART.

Conclusion

The incidence of mortality was 4.98 per 1000 child-months. Severe underweight, tuberculosis infection, low hemoglobin level, and advanced WHO clinical stages at enrolment were predictors of death among under-five children on ART.

Introduction

The child mortality rate is a significant indicator of social and national development since it reflects health equity and access [1]. AIDS is an infection caused by the Human Immunodeficiency Virus (HIV), which predominantly attacks a person’s immune system. HIV infection in children under five has rapid disease progression and opportunistic infections due to immune weakness, which leads to higher morbidity and mortality [24].

Antiretroviral therapy (ART) is an HIV treatment that includes multiple antiretroviral medications taken throughout life to enhance duration and quality of life by lowering viral load and raising CD4 cell count [5, 6]. The advancement of HIV therapy had a positive impact on disease progression and immunological capacity, resulting in higher survival rates [2]. Ethiopia’s government established the first highly active antiretroviral therapy (HAART) guideline in 2003, which was modified in 2021 to scale up the program quickly. According to the 2021 national recommendation, all children should receive HAART [7].

To ensure that simple and effective therapy becomes quickly available and accessible for all under-five children in need, the government, NGO, research partners, health specialists, and civil society vigorously promote 4g = ABC+3TC-LPV/r and 4j = ABC+3TC+DTG for the development of fixed-dose combinations [4].

HIV/AIDS resulted in the death of 328 children daily in 2016, accounting for 1.4% of all under-five deaths globally [8]. The burden is still evident despite a 62% drop in AIDS-related mortality and a 70% drop in new HIV infections since 2000 [9]. In children under the age of five, the condition advances quickly, and if treatment is not initiated, up to 30% of children will die before their first birthday, and up to 50% will die before their second birthday [2]. Without treatment, 35.2% of HIV-infected children in Africa died in their first year, and 52.5% died by the age of 2 (two) [10]. More than half of the deaths (50–68.8%) occurred within 6 (six) months after starting ART [11]. Studies in Africa reported that the incidence of death following ART initiation among children was 18.7% in South Africa [12], Zambia 1.6% [13], Zimbabwe 8.14% [14], Kenya 12.78%, and 2.9% in Cameroon [15].

In Ethiopia, the mortality rate among HIV-infected children in Ethiopia after commencing ART was 12–17 deaths per 1,000 children per year. The length of life of HIV-infected children on ART is mainly affected by clinical factors [16, 17]. A study in Ethiopia’s Oromia Liyu Zone found that 5.9% of people died after starting ART [9].

The effects of HIV/AIDS infection happen at a crucial developmental stage when the immune system is immature [18]. On children, wide-ranging factors negatively impact the quality of care, socialization, health, and emotional and cognitive development of affected children. As a result of their status, they are at a higher risk of mortality, illness, and psychological suffering [19]. The physical well-being of HIV-infected children is likewise heavily reliant on HIV treatment. More than one-third of children do not survive their first birthday if they are not treated [20].

HIV/AIDS has been one of the Ethiopian government’s top priorities in the health sector [21]. To achieve this goal, Ethiopia’s government has adopted strategies to minimize morbidity and mortality by limiting future disease transmission and boosting access to HIV care, treatment, and support for under-five children living with HIV [22, 23]. Efforts to scale up early baby diagnostic programs and early assessment of HIV-infected infants on ART, regardless of WHO clinical stage or CD4 cell count [24]. More should be done to address the unique survival needs of children in Ethiopia, even though visible efforts to improve the health of HIV-infected children have led to significant reductions in mortality levels among under-five children [5].

Early ART initiation in under five HIV-infected children significantly reduces children’s mortality [25]. Even though ART has demonstrated significant clinical importance by achieving the therapy’s goal, children continue to die from a variety of preventable causes that could be avoided with appropriate interventions on socioeconomic, demographic, treatment-related, and health factors such as the child’s age, CD4 count or CD4 percent at ART initiation, WHO stage, hemoglobin level, and ART adherence, by developing the PMCTC service [12, 26].

ART for HIV-infected children leads to immunological reconstitution through decreasing viral load, increasing CD4 cells, preventing opportunistic infection, and a longer survival time [5, 27]. Even though shreds of evidence regarding is needed regarding the survival status of children on ART and its predictors to maximize the benefit by addressing any modifiable variables, information regarding time to death and its predictors among under-five children after antiretroviral treatment in Ethiopia is limited. In addition, up to the researcher’s knowledge, there is a published study in the study setting. Therefore, this study aimed to assess time to death and its predictors among HIV-infected under-five children after initiation of ART treatment at selected public hospitals in Addis Ababa, Ethiopia.

Methods and materials

Study design, setting and period

The retrospective follow-up study was conducted to under five children who initiated ART on the period from April 12, 2017, to May 12, 2022 at public hospitals in Addis Ababa, Ethiopia’s capital city. Addis Ababa is the headquarters of the African Union. According to the 2007 census, it had a total population of 3,384,569 people, but by 2017, it had about 4 million people, with a population growth rate of 2.9% per year [28]. An estimated 300,000 people are infected with HIV/AIDS. Around 12,000 were youngsters, and 30 to 40 percent of HIV-infected people were under-five children [29].

There are 12 public hospitals in the area. The Addis Ababa health bureau is responsible for managing (Six) of them, including Gandhi Memorial Hospital, Yekatit 12 Hospital Medical College, Zewditu Memorial, Ras-Desta Damtew Memorial, Menelik II Referral, and Tirunesh Beijing General Hospital. Amanuel Hospital, Alert Hospital, St. Peter Specialized Hospital, Millennium Medical College Hospital, and Eka Kotebe Hospital are the five (5) hospitals under the federal Ministry of Health’s administration. The other is a teaching hospital called Tikur Anbessa Specialized Hospital, administered by Addis Ababa University. Only eight hospitals provide ART services for under-five children, including Black Lion Hospital, Yekatit 12 Hospitals Medical College, Saint Petrous Specialized Hospital, Alert Hospital, Tirunesh Beijing General Hospital, St. Paulo’s Hospital, Zewditu Memorial Hospital, and Menelik II Referral Hospital, included in the study. The remaining four excluded from the study because they did not provide under five ART services.

Populations

All under-five children with HIV infection and on ART at the public hospital of Addis Ababa were the source population, and HIV-infected under-five children who started antiretroviral therapy (ART) the period from April 12, 2017, to May 12, 2022, at the selected public hospital of Addis Ababa were the study population.

Eligibility criteria

All HIV-infected under-five children on antiretroviral therapy (ART) at the selected public hospital of Addis Ababa, from April 12, 2017, to May 12, 2022, were included. Under-five children with incomplete data on the outcome variables like date of treatment initiation, age of the child and pertinent variables were excluded from the study.

Sample size determination

The study sample size of the study calculated using STATA version 14 statistical software using the formula N = Event(E) /Probability of event (E) by considering the following assumptions; A 95% level of confidence, 5% level of significance, 80% power and 10% assumption of withdrawals [30]. The maximum size of the study was 426 using sex as a predictor(h ratio(2.4), failprob(0.107), wdprob(0.1)) [30].

Sampling procedure

The study covered all public hospitals that delivered ART to under-five children. The sample size for each hospital was determined using proportional allocation based on cases of under-five children on ART services in the previous five years. A random number was generated based on the identification of each medical chart of children using a computer. Then, four hundred twenty-six (426) children’s medical records were selected using a computer-generated random sampling technique. Furthermore, replacing incomplete medical charts was taken into account (Fig 1).

Fig 1. Schematic representation of sampling procedure for time to death and its predictors among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia 2022.

Fig 1

Study variables

Dependent variable

Time to death.

Independent variables

Socio—demographic characteristics: Age, sex, residence, family status, age of care giver.

Baseline and follow-up clinical and immunologic information: TB infection, TB treatment, WHO clinical stages, Cotrimoxazole prophylaxis use, CD4 count, ART adherence, hemoglobin level, chronic diarrhea, drug regimen, and obstetric/birth history of the child.

Nutritional factors: Weight for age and developmental milestone.

Operational definitions

Time to death: Time at which the children died during the follow up, after initiation Anti-retroviral treatment [31].

Follow up time period: Time from starting of ART up to either the study subjects died or censored.

Survival time: The length of time in months a child was followed from the time the child started ART until death, was lost to follow up, or was still on follow up [32].

Event: The occurrence of death from initiation of ART to the end of the study [33].

Anemia: Is defined as having hemoglobin level is < 11mg/dl [9].

CD4 count below threshold: If CD4 cell count of less than350 cells/mm3 [10].

Underweight: For children under the age of five, weight for age Z-score-2 SD was used [34].

Advanced WHO clinical stages: Under-five children in WHO clinical stages III and IV during ART enrolment. Mild WHO clinical stages: are stage I and II baseline clinical stages of HIV-infected under-five children during antiretroviral therapy (ART) enrolment [35].

Censored: When a child is lost-to-follow-up, transferred out, withdrawn from follow-up, and still on follow up(lives longer than the study period) [32].

Poor adherence to medications: Less than 90% adherence to ART drugs by children under the age of five in the previous three months was termed poor adherence [36].

Fair adherence to medications: Fair adherence was defined as 90–95 percent of children under the age of five who have taken antiretroviral medications in the previous three months [36].

Good adherence: adherence level of under-five children to ART medications within the last three months >95%(7) [37].

Moderate stunting: under five children having Height/ Age Z-score < −2 SD [37].

Moderate underweight: under five children having Weight/Age Z-score < − 2 SD [37].

Moderate wasting: under five children having Weight/ Height Z-score < −2 SD [37].

Severe stunting: under five children having Height/Age Z-score < −3 SD [37].

Severe underweight: under five children having Weight/Age Z-score < −3 SD [37].

Severe wasting: under five children having Weigh/ Height Z-score < −3 SD [37].

Opportunistic infections: During follow-up periods, an HIV-infected under-five child on ART developed one or more reported histories of opportunistic illnesses [9].

Developmental milestone: The child can achieve the four developmental milestones, which are cognitive development, gross motor/fine motor development, language development, and social development, as appropriate for the child’s age [35].

Developmental delay: is the delay of an age-specific capacity for important developmental milestones and without any deformity [35].

Developmental regression: After a time of relatively normal growth, a child loses an already acquired talent or fails to progress beyond a protracted plateau [35].

Data collection procedure & tools

First, the completeness of children’s medical records was checked. Then, a data extraction checklist was prepared. The time from the initiation of ART was the starting point for retrospective follow-up, and the end was the date of death, date of loss to follow-up, or date of transfer out. All HIV-infected children who started ART at the eight hospitals between April 2017 and May 2022 were recruited from the ART follow-up register. Then records were reviewed before the data was collected (both baseline and follow-up records). The death was confirmed by registration follow-up chart, physician recorded, and their medical record number was used to identify them. Eight BSc nurse data collector and Three MSc nurse supervisors were recruited.

Data quality control

To assure the quality of data, data collectors and supervisors were trained. Data quality was also maintained by using a standard pretested data extraction checklist and ongoing supervision. During data analysis, all collected data were checked for completeness and consistency. Before processing, the data was entered and cleaned.

Data analysis

Under-five children’s death was the event of interest coded as “1” and “0” for censored. Data was entered into Epi-Data 4.6 and analyzed with STATA 14. The child mortality rate was estimated and expressed as 1000 children—months. The Kaplan-Meier curve was used to calculate the median survival time. The Schoenfeld residuals test was used to assess model fitness. The model was fitted, and an overall global test result of 0.6434. Bivariable Cox proportional hazards regression was fitted, and those ≤0.25 were fitted for multivariable Cox regression hazard model to identify predictors of the outcome variable. The adjusted hazard ratio (AHR) with a 95% confidence interval (CI) and a P 0.05 was used to determine the strength of association and statistical significance. Variance inflation factor (VIF) was used to test for multicollinearity among variables, and there was no evidence of multicollinearity with a variance inflation factor smaller than 4 for all variables.

Ethical consideration and consent to participants

Ethical approval was sought from the Debre Markos University, College of Health Science Research Ethics Review Committee (Ref. no. HSR/R/C/Ser/PG/Co/175/11/14). A permission letter was secured from each hospital. Moreover, individual consent was not applicable since it is a retrospective study of medical records (record review). The ethics committee waived the requirement for informed consent. Finally, the confidentiality of the information and privacy of study participants was maintained.

Results

Socio demographic characteristics of study participants

Based on the inclusion criteria, 415 (97.42%) of the 426 children on ART were included for analysis. More than half of the 226 children (54.5%) were female. More than ninety percent of the children, 390 (94.0%), resides in urban. Almost two-third (61.2%) of the 254 study participants were under the age of 24 months, with the overall mean and standard deviation of the child’s age at ART initiation being 23.8 and 14.64 months, respectively. More than two-third of the study’s 296 participants (71.3%) were Orthodox Christians. Three hundred and one (72.5%) caregivers were females, and 254 (61.4%) caregivers were between the ages of 20 and 35. More than three-quarters (313) were married, and less than half of caregivers attended primary school (Table 1).

Table 1. Socio-demographic characteristics of under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia 2022.

(n = 415).

Variables Categories Frequency Percent
Child’s a sex Male 189 45.5
Female 226 54.5
age of child Less than 24 months 254 61.2
25–59 months 161 38.8
Residence Urban 390 94.0
Rural 25 6.0
Religion Orthodox 296 71.3
Protestant 78 18.8
Catholic 31 7.5
Other 10 2.4
Sex of care giver Male 114 27.5
Female 301 72.5
age of care givers in years <20 6 1.4
20–35 254 61.4
>35 155 37.3
Marital status of care giver Married 313 75.4
Unmarried 102 24.6
Primary care giver Parents 385 92.8
Relatives 23 5.5
Guardians 7 1.7
Educational level of the care giver No education 69 16.6
Primary 180 43.4
Secondary 132 31.8
Tertiary and above 34 8.2
Family HIV status currently Both alive 352 84.8
Father died 30 7.2
Mother died 17 4.1
Both died 16 3.9

Baseline clinical characteristics of children under five years on ART

The majority, 388 (93.5%) of children, had appropriate developmental status, and more than half, 224(54.0%), children started INH prophylaxis. Two hundred forty-three (58.6%) of children started ART in the mild WHO clinical disease stage of HIV (II or I), and 240(57.8%) of children had less than 11 grams per deciliter (g/dl) of hemoglobin. Four hundred (96.9%) of children were using Cotrimoxazole, and less than a quarter of 60(14.5%) children had tuberculosis. Almost two third children, 271 (65.3%), had good ART adherence. Three hundred thirty-three (80.2%) of HIV-infected under-five children were born from mothers who had PMTCT service initiated during pregnancy. More than three-fourth, 341(82.2%) of children had chronic diarrhea, and 388 (93.5%) of children had above the threshold CD4 count (Table 2).

Table 2. Baseline clinical characteristics of under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia 2022.

(n = 415).

Variables Categories Outcome. Total, n (%)
Died, n (%) Censored, n (%)
Developmental status Appropriate for age 37(90.2) 351(93.9) 388(93.5)
Delayed 4(9.8) 17(4.5) 21(5.1)
Regressed - 6(1.6) 6(1.4)
INH prophylaxis Yes 15(36.6) 209(55.9) 224(54.0)
No 26(63.4) 165(44.1) 191(46.0)
WHO Clinical stage Mild 9(22.0) 234(62.6) 243(58.6)
Advanced 32(78.0) 140(37.4) 172(41.4)
Hemoglobin <11 34(82.9) 206(55.1) 240(57.8)
>11 7(17.1) 168(44.9) 175(42.2)
Cotrimoxazole use Yes 39(95.1) 363(97.1) 402(96.9)
No 2(4.9) 11(2.9) 13(3.1)
Immunization Status Immunized 23(56.1) 227(60.7) 250(60.2)
Not immunized at all 18(43.9) 147(39.3) 165(39.8)
Tuberculosis Yes 19(46.3) 41(11.0) 60(14.5)
No 22(53.7) 333(89.0) 355(85.5)
Comorbidities other than TB Yes 33(80.5) 228(61.0) 261(62.9)
No 8(19.5) 146(39.0) 154(37.1)
ART adherence Good 11(26.8) 260(69.5) 271(65.3)
Fair 26(63.4) 111(29.7) 137(33.0)
Poor 4(9.8) 3(0.8) 7(1.7)
Maternal history of PMTCT Yes 30(73.2) 303(81.0) 333(80.2)
No 11(26.8) 71(19.0) 82(19.8)
Drugs side effect Yes 36(87.8) 273(73.0) 309(74.5)
No 5(12.2) 101(27.0) 106(25.5)
Chronic Diarrhea Yes 37(90.2) 304(81.3) 341(82.2)
No 4(9.8) 70(18.7) 74(17.8)
Mode of delivery Cesarean section 1(2.4) 67(17.9) 68(16.4)
SVD 40(97.6) 307(82.1) 347(83.6)
Place of delivery Health facility 33(80.5) 335(89.6) 368(88.7)
Home 8(19.5) 39(10.4) 47(11.3)
CD4 count below threshold 6(14.6) 21(5.6) 27(6.5)
above the threshold 35(85.4) 353(94.4) 388(93.5)

Regarding, opportunistic infection, 152(36.6%) had not developed an opportunistic infection. More than one-fourth (34.22%) of children had herpes zoster, and less than a quarter (12.77%) of children had bacterial pneumonia (Fig 2). More than half, 209 (50.36%) of children have taken a drug of type 4g = ABC+3TC-LPV/r ART regimen followed by 197(47.47%) of children who have taken a drug of type 4j = ABC+3TC+DTG (Fig 3).

Fig 2. Baseline opportunistic infection among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia, 2022.

Fig 2

Fig 3. ART regimen given at baseline among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia, 2022.

Fig 3

Nutritional status of children on ART

This study found that 141 (34.4%) of children were severely stunted, whereas 35 (8.4%) were moderately stunted. More than one-fourth of the children, 123(29.6%), were very underweight, and 45(10.8%) were moderately underweight. In addition, 79 (19.0%) and 48 (11.1%) of the children were severely and moderately wasting, respectively (Table 3).

Table 3. Nutritional status of under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia, 2022.

(n = 415).

Variables Categories Outcome Total, n (%)
Died, n (%) Censored, n (%)
Stunting Normal 18(43.9) 221(59.1) 239(57.6)
Moderately stunted 3(7.3) 32(8.6) 35(8.4)
Severely stunted 20(48.8) 121(32.4) 141(34.0)
Underweight Normal 18(43.9) 229(61.2) 247(59.5)
Moderately underweight 5(12.2) 40(10.7) 45(10.8)
Severely underweight 18(43.9) 105(28.1) 123(29.6)
Wasting Normal 28(68.3) 260(69.5) 288(69.4)
Moderately wasting 5(12.2) 43(11.5) 48(11.6)
Severely wasting 8(19.5) 71(19.0) 79(19.0)

Kaplan Meier analysis

The study reported that 415 children on ART followed up for a minimum of 1 month and a maximum of 56 months, with a median follow-up time of 17 with an interquartile range of (10–29) months. The survival status was estimated by the Kaplan-Meier estimation method. This finding showed that overall estimated survival after starting ART was 61.42% (95%CI: 19.93–86.31) at 56 months of follow-up (Fig 4). The Kaplan-Meier curve also revealed that the survival probability of children declined over time. The highest mortality rate occurred in the first 12 months (Fig 4).

Fig 4. The Kaplan-Meier survival function among under-five children on ART in public hospitals of Addis Ababa, Ethiopia, 2022.

Fig 4

The study reported the incidence of death was 4.98 /1000 person months observations (95% CI: 3.67–6.77). During the follow-up period, 41 were died and the remaining 374 (90.12%) were censored (Fig 5).

Fig 5. Over all outcomes of under five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia, 2022.

Fig 5

The Kaplan-Meier survival curve showed that children with hemoglobin level > 11 g/L had a higher survival probability compared to children with a hemoglobin level <11 g/L (Fig 6). Compared to children with CD4 counts above the threshold, those with CD4 counts below it had a greater chance of surviving at 2 and 3 months. But starting from 4 months onwards, children with a CD4 level above the threshold had a better chance of surviving than those with a CD4 count below the threshold (Fig 7). This study also showed that children who used Cotrimoxazole for the first two months had a higher survival probability compared to those who did not. However, their chance of survival decreased from the third to the 34th month (Fig 8).

Fig 6. Kaplan-Meier survival estimates based on hemoglobin level among under- five children on ART treatment in public hospitals of Addis Ababa, Ethiopia, 2022.

Fig 6

Fig 7. Kaplan Meier survival estimates based on CD4 count among under- five children on antiretroviral treatment (ART) in public hospitals of Addis Ababa, Ethiopia, 2022.

Fig 7

Fig 8. Kaplan-Meier survival estimates based on cotrimoxazole use under- five children on antiretroviral treatment (ART) in public hospitals of Addis Ababa, Ethiopia, 2022.

Fig 8

Predictors of time to death of children on ART

Bivariable Cox proportional hazard regression revealed that sex, age of a child, sex of caregiver, stunting, underweight, INH prophylaxis, WHO stage, hemoglobin level, tuberculosis, opportunistic infection, maternal history of PMTCT, drug side effects, place of delivery, and CD4 count variables were associated with time to death of children on ART follow up at a P-value less than 0.25. But underweight, having tuberculosis, low hemoglobin level, and WHO clinical stage remained statistically significant with time to death among children on ART in multivariable Cox proportional hazards regression (Table 4).

Table 4. Cox -regression analysis of predictors of death among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia 2022.

Variables Categories Outcome CHR (95% CI) AHR (95.% CI) P-value
Event (%) Censored (%)
Sex Male 23(12.2) 166(87.8) 1.00 1.00
Female 18(8.0) 208(92.0) 0.69(0.37, 1.28) 0.81(0.40,1.65) 0.564
Age of child < 24 months 23(9.1) 231(90.9) 0.64(0.34, 1.21) 0.54(0.26,1.11) 0.093
25–59 month 18(11.2) 143(88.8) 1.00 1.00
Sex of caregiver Male 8(7.0) 106(93.0) 0.58(0.27, 1.26) 0.51(0.22,1.17) 0.11
Female 33(11.0) 268(89.0) 1.00 1.00
Stunting Normal 18(7.5) 221(92.5) 1.00 1.00
Moderately 3(8.6) 32(91.4) 1.07(0.31, 3.65) 0.99 (0.25,3.85) 0.98
Severely 20(14.2) 121(85.8) 2.28(1.19, 4.35) 1.32 (0.25, 3.04) 0.52
Under Weight Normal 18(7.3) 229(92.7) 1.00 1.00
Moderately 5(11.1) 40(88.9) 1.65(0.61, 4.47) 2.24(0.73,6.93) 0.16
Severely 18(14.6) 105(85.4) 2.47(1.27, 4.80) 3.19(1.32,7.71) 0.01*
INH prophylaxis Yes 15(6.7) 209(93.3) 0.48(0.25, 0.91) 0.54(0.26, 1.12) 0.9
No 26(13.6) 165(86.4) 1.00 1.00
WHO stage Mild 9(3.7) 234(96.3) 1.00 1.00
Advanced 32(18.6) 140(81.4) 6.08(2.80,13.21) 3.38(1.08, 10.58) 0.037*
Hemoglobin <11g/dl 34(14.2) 206(85.8) 3.80(1.68, 8.62) 2.51(1.02,6.20) 0.046*
>11g/dl 7(4.0) 168(96.0) 1.0* 1.00  
Tuberculosis Yes 19(31.7) 41(68.3) 5.56(2.99,10.34) 3.86(1.76, 8.47) 0.001*
No 22(6.2) 333(93.8) 1.00 1.00
Opportunistic infection Yes 33(12.5) 230(87.5) 2.52(1.16, 5.47) 0.89(0.30, 2.68) 0.84
No 8(5.3) 144(94.7) 1.00 1.00
Maternal history of PMTCT Yes 30(9.0) 303(91.0) 0.62(0.31, 1.24) 1.73(0.76, 3.94) 0.20
No 11(13.4) 71(86.6) 1.00 1.00
Drugs side effect Yes 36(11.7) 273(88.3) 2.42(0.95, 6.18) 0.90(0.27, 2.92) 0.85
No 5(4.7) 101(95.3) 1.00 1.00
Place of delivery Health facility 33(9.0) 335(91.0) 1.00 1.00
Home 8(17.0) 39(83.0) 1.98(0.91, 4.30) 1.35(0.55, 3.32) 0.508
CD4 Below threshold 6(22.2) 21(77.8) 3.00(1.25, 7.17) 1.71(0.58,5.01) 0.329
Above the threshold 35(9.0) 353(91.0) 1.00 1.00

Key: 1.00 = Reference; * = statistically significant at a p < 0.05

The study found that severely underweight children on ART are more like to die (AHR = 3.19) than children with normal weight (AHR = 3.19; 95%CI: 1.32–7.71). Children with tuberculosis were 3.86 times more likely to die than their counterparts (AHR = 3.86; CI: 1.76–8.47). And also, children with low hemoglobin levels were 2.51 times more likely to die than children with hemoglobin levels above the threshold (AHR = 2.51; CI: 1.02–6.20). Furthermore, the risk of death among under-five children with advanced WHO clinical stages at enrolment to ART was 3.38 times higher than children with a mild stage (AHR = 3.38; CI:1.08–10.58) (Table 4).

A log-rank test was done to check the existence of significant differences in the survival status among categories. Variables like CD4 count, opportunistic infection, INH prophylaxis, and severely stunted had the statistically significant result of the log-rank test with (P-Value <0.05) (Table 5).

Table 5. Log-rank test for equality of survivor functions among under- five children on ART treatment in public hospitals of Addis Ababa, Ethiopia, 2022.

Variables Categories P-value Log-rank test (x2)
sex of child Male 0.2328 1.42
Female
age of child < 24 months 0.1658 1.92
25–59 month
sex of care giver Male 0.1616 1.96
Female
Underweight Normal 0.0210 7.72
Moderately underweight
Severely underweight
Stunting Normal 0.0291 7.07
Moderately stunted
Severely stunted
INH prophylaxis Yes 0.0199 5.42
No
WHO clinical Stage Mild 0.0000 27.40
Advanced
hemoglobin level <11g/dl 0.0006 11.92
>11g/dl
Tuberculosis Yes 0.0000 37.73
No _ _
opportunistic infection Yes 0.0145 5.98
No _ _
maternal history of PMTCT Yes 0.1690 1.89
No
Drug side effect Yes 0.0542 3.71
No _ _
place of delivery Health facility 0.0757 3.16
Home
CD4 count Below threshold 0.0091 6.81
Above the threshold _ _

Test of proportional hazard assumption

The result showed (p-value > 0.05) satisfy the PH assumptions (Table 6).

Table 6. Schoenfeld’s residuals test result among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia 2022.

Variable Rho chi2 Df prob>chi2
Sex of child 0.011 0.01 1 0.944
Age of child -0.070 0.18 1 0.668
Sex of care giver -0.158 1.10 1 0.295
Underweight -0.156 1.26 1 0.261
Stunting 0.120 0.62 1 0.430
INH prophylaxis -0.055 0.13 1 0.717
WHO clinical Stage 0.011 0.01 1 0.932
Hemoglobin level -0.210 1.71 1 0.191
Tuberculosis -0.024 0.03 1 0.865
Opportunistic infection -0.042 0.08 1 0.776
Maternal history of PMTCT -0.166 0.88 1 0.347
Drug side effect -0.185 1.16 1 0.282
Place of delivery 0.162 0.89 1 0.345
CD4 count -0.003 0.00 1 0.987
Global test 11.54 14 0.6434

Discussions

The study aimed to assess time to death and its predictors among under-five children on ART. The study reported that the cumulative incidence rate after starting ART was 4.98 /1000-person month observations with a 95% CI: (3.67–6.77). A study in the Oromiya Liyu zone of Amhara region, Ethiopia is higher than this study (5.9 deaths per 100 child months [9]. This is because of the difference in study participants, which was conducted among TB/AIDS co-infected children and resulted in higher morality than this study. But this result is higher than a study in Malawi, in which the incidence rate was 16.6 per 1000 children years observation [38]. Differences in the quality of ART services between countries may contribute to this discrepancy. And also, this finding is higher than a study done in West Amhara referral hospitals which reported that the overall incidence rate of death was 2.87 deaths per 1000 child months [39]. The difference might be due to the difference in the study setting.

The study found that the overall estimated survival time of children after starting ART was 61.42% at 56 months of follow-up and had a median follow-up time of 17 months. This finding is lower than a study in West Amhara referral hospitals (85%) [39] and the Oromiya Liyu zone (87%) [9]. This might be explained in terms of differences in clinical characteristics of study participants like WHO clinical stage and CD4 level. A difference in the stage of HIV/AIDS at the beginning of ART could be another explanation. While some study participants did not start ART at the WHO clinical stage I&II. Children who began receiving ART earlier had a longer survival time compared counterparts. This finding is also lower than a study done in Europe which showed that the survival rate after starting ART was 97.6 [40]. The discrepancy may be because developed countries like Europe offer high-quality ART care, resulting in a higher survival probability for children compared to developing countries like Ethiopia.

This study revealed that the risk of death among under-five children with severe underweight was 3.19 times higher than those children who had normal weight. Studies in Swaziland and Kenya supported this evidence [41, 42]. In addition, this finding is consistent with studies in Ethiopia [43, 44]. This may be due to severely underweight children may not respond well to treatment because their immunity is weakened due to inadequate nutrient delivery to their cells.

This study also revealed children with tuberculosis had a 3.86 times higher risk of death than children without the disease. This finding was consistent with the study conducted in Tanzania [45] and Jinka Hospital of Ethiopia [46]. This could be due to host reactions to M. tuberculosis that promote HIV replication, speeding up the natural progression of the virus and further suppressing immunity [47]. Another explanation for the increased risk of death among tuberculosis-infected children is the reduced absorption of ART medications, which reduces their efficiency secondary to anti-tuberculosis drugs [48].

In this study, the hazard of death among children on ART with advanced stages (stages III and IV) enrolment was 3.38 times higher than with mild stages (stage I and II) at ART enrolment. Studies Gondar of Ethiopia [49] and Cameroon [15] supported this finding. This could be because children with advanced HIV/AIDS have compromised immune systems and are more vulnerable to opportunistic infections, which can lead to mortality. This reflects the fact that severe immunodeficiency increases the risk of death.

Finally, the study revealed that the risk of death among under-five children with low hemoglobin was 2.51 times higher than compared to counterparts. Studies in Gondar and Addis Ababa, Ethiopia [16, 50] supported this evidence. This could be because low hemoglobin speeds up the progression of HIV infection, which increased the risk of death. Combined effects of anemia and some drugs worsen anemia, and lead to more comorbid conditions and death.

The finding has significant clinical implications for reducing the death rate of under-five children by enhancing nutritional status, increasing hemoglobin level, preventing TB, and preventing advanced HIV infection in under-five children. Additionally, this finding is important for policymakers in developing integrated therapeutic interventions and strategies to prevent tuberculosis, advanced stage of HIV/AIDS, underweight, and low hemoglobin level.

Limitation of the study

Because the study was based on secondary data, some important variables, such as sociodemographic and clinical characteristics, missed due to poor documentation and thus excluded from the study. Additionally, those study participants whose medical chat was not available were not included, in the study, which may undermine the study’s findings.

Conclusion and recommendations

The incidence of mortality was 4.98 per 1000 child-months. Severe underweight, tuberculosis infection, low hemoglobin level, and advanced WHO clinical stages at enrolment were predictors of death among under-five children on ART. Therefore, intervention to reduce the mortality of HIV-infected children should be considered. And also, responsible bodies should implement strategies to improve children’s weight, prevent tuberculosis infection and maintain a high level of hemoglobin.

Supporting information

S1 File

(SAV)

Acknowledgments

We would like to acknowledge Debre Markos University. We also greatly acknowledge Saint Peter specialized hospital and Addis Ababa public hospital workers especially ART clinic staffs.

Abbreviations and acronyms

AHR

Adjusted Hazard Ratio

AIDS

Acquired Immune deficiency Syndrome

ART

Anti-Retroviral Treatment

AZT

Zidovudine

CI

Confidence Interval

CHR

Crude Hazard Ratio

EFV

Efavirenz

HAART

Highly Active Anti-Retroviral Therapy

HIV

Human Immunodeficiency Virus

INH

Isoniazid

NVP

Neverapine

PH

Proportional Hazard

3TC

Lamivudine

PMTCT

Prevention of Mother-to-Child Transmission

SPSS

Statistical Product and Service Solutions

TDF

Tenofovir

WHO

World Health Organization

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Daniel Bekele Ketema

2 Mar 2023

PONE-D-22-31887Time To Death and Its Predictors Among Under-Five Children on Antiretroviral Treatment in Public Hospitals of Addis Abbaba, Addis Abbaba, Ethiopia, A Retrospective Chohort StudyPLOS ONE

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Reviewer #2: Title: Time To Death and Its Predictors Among Under-Five Children on Antiretroviral Treatment in Public Hospitals of Addis Abbaba, Addis Abbaba, Ethiopia, A Retrospective Chohort Study

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Attachment

Submitted filename: Comments.docx

PLoS One. 2023 Jul 20;18(7):e0288475. doi: 10.1371/journal.pone.0288475.r002

Author response to Decision Letter 0


13 Mar 2023

Dear editor and reviewers, I hope now the manuscript is clear and more acceptable than the previous one. We have tried to present the manuscript in proper manner according to your comments. Finally, I would like to extend our deepest gratitude for your endeavor for the improvement of this manuscript.

Both Reviewers and academic editor assigned for me were excellent. Thank you Daniel Bekele Ketema, Addis Birhanu and the rest one for your smart suggestions and comments.

Respectfully,

Dawit Misganaw (Corresponding author)

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Daniel Bekele Ketema

24 Apr 2023

PONE-D-22-31887R1Time to death and its predictors among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Addis Ababa, Ethiopia, A Retrospective Cohort StudyPLOS ONE

Dear Dr. Belay,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

============================================================================================================================The manuscript should benefit from experienced language editors. The authors should mention who made the language edition in the manuscript during submissions.In addition, the authors should justify the novelty of this paper and how it contributes to the existing evidence.=============================================================================================================================

Please submit your revised manuscript by Jun 08 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Daniel Bekele Ketema

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: (No Response)

********** 

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

********** 

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

********** 

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

********** 

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: No

********** 

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Comments to the Author

Almost all my comments are addressed to my satisfaction - thanks to the authors.

There are still some grammatical mistakes. I would advise authors to carefully read the manuscript and improve the quality of the writing throughout your manuscript.

For example, on page 8 lines 214-215, the statement is not clear.

Reviewer #2: Comments to the editor and authors

The results of this study are not novel, but they add to the body of knowledge about the Time to Death and its Predictors among Children Under Five and provide local evidence. The study is quite straightforward and uncomplicated, but there are a number of ways that the content might be improved to be more appropriate for Plos One Journal readers. The language could require some editing and refinement.

Please find the following feedback and advice for your consideration in order to further improve your manuscript:

********** 

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Reviewer #1: No

Reviewer #2: Yes: Addis Birhanu

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Attachment

Submitted filename: Reviewer Comments_1.docx

PLoS One. 2023 Jul 20;18(7):e0288475. doi: 10.1371/journal.pone.0288475.r004

Author response to Decision Letter 1


14 May 2023

Comments and recommendations have been modified and heighted on the main document. Questions and some points which need clarifications are listed under "response to reviewers".

Dear reviewers, we hope now the manuscript is clear and more acceptable than the previous one. We have tried to present the manuscript in proper manner according to your comments.

We would like to extend our deepest gratitude for your endeavor for the improvement of this manuscript.

Finally, both our Reviewers and the academic editor assigned for us were excellent. Thank you all for your smart suggestions and comments.

Decision Letter 2

Daniel Bekele Ketema

29 May 2023

PONE-D-22-31887R2Time to death and its predictors among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Addis Ababa, Ethiopia, A Retrospective Follow up StudyPLOS ONE

Dear Dr. Belay,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

===================================================================================================================================================================

ACADEMIC EDITOR'S COMMENTS

The manuscript was well improved based on the reviewers comments. Based on my assessment, the  manuscript still needs some methodological improvement. As a result, I gave the following specific feedbacks to be addressed prior to formal acceptance. 

General comment

There were missing, discordant, and incomplete statements throughout the document. As such, it still requires careful language editing before publication.

Specific methodological comments

   Abstract

  1. The authors should describe the name of the hospitals included in the study

  2. The measure of association with its level of precision (aHR with 95% CI)

  3.  line #29-30: good to explain why these statistical computations were performed (Long rank test for comparing survival curves across different baseline variables; do the same for the remaining.)

  4. Study period (April 12, 2017, to May 12, 2022)

  5. The statistical software’s used for data entry and analysis

  6. Line # 35: The authors reported that “The study participants were followed for total of 8237 person-hours of risk time”. Why did the authors employ person-hours of risk? Check it. Person-months will be correct based on the result you report in the entire document

  7. Line #36: the authors reported that “41 (9.9%) of HIV infected children were died”. This value is unclear to me.  Is it cumulative incidence? Or prevalence? Since your data s time to event prevalence is not appropriate estimate. In addition, along with the estimate, you should also report the precision interval.

  8. Since estimating time to death is your main objective, we need to know the median survival time with its precision interval. So, I would recommend if you reported it.

Methods

  1. Line #141: survival status (death or censored) is not appropriate medical. You can state “Patients who had incomplete data on the outcome variables; like Date of treatment initiation….” Were excluded from the study

  2. Line # 144-151:  The sample size calculation deficit clarification. How the authors compute probability of the event P (E), and number of event (E). I have doubt about the adequacy of the sample size since you are including all the public hospital (8 hospitals)

  3. Line # 156: lottery method is not feasible. Simple random sampling methods can be assured by

  • Lottery method

  • Computer generated randomization

  • Random table 

For your case computer generated randomization will be feasible using your sampling frame

       IV.    Why the authors fail to select some hospitals from the total to make it more feasible 

      V.   Line #159: “Time to death due to HIV/AIDS after initiation of ART” not appropriate; instead replace it with time to death

  1. Line #171: the authors should mention the unit of measurement (hour, day, month, year)

  2. Line #173: edit the statement by adding “of” next initiation

  3. Line #180-181: the authors mentioned that death unrelated to the outcome of interest were consider as censored. First, how do you confirm the death in unrelated the study outcome? Second, even you the cause of death, treating as censored is not appropriate. There are other remedies like computing risk analysis

  4. Line #181: lives longer than the study period is not appropriate description (not accepted ethically), you can use “still on follow up”

  5. Line #204: Check the language

  6. The authors should describe who are the data collectors with their qualification

  7. Line #224: the authors describe “stratified Cox Proportional”, but in the remaining section proportional cox regression model. Should be consistent

          Result

  1. Response rate is not appropriate for medical chart review. Use appropriate term. You can say, as per the inclusion criteria, about 97.42% were included for the analysis

  2. The authors should mention the reason of exclusion for the 11 medical charts

  3. Line #246: “resided” check

  4. Line #288-289: the authors mentioned that “The Kaplan-Meier curve also showed that

  5. as the follow-up time was increased, the survival probability of children was decreased”. Is this the correct interpretation of the figure?  because the survival function is always decreasing function over time. So please check your interpretation by considering median survival time

  6. line # 291: “41 (9.9 of the total study participants died)” check

  7. consider Table 5 as a supplementary file to reduce the number of tables

 Discussions:

In the discussion section line 357-415, the author compared the findings with previous studies in terms of similarity or difference. However, the underlying causes for the discrepancies between studies need to be elaborated to increase the depth of the discussion and to allow readers know more about the situation.in addition, the authors should mention the public health importance of the finding.

===================================================================================================================================================================

Please submit your revised manuscript by Jul 13 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Daniel Bekele Ketema, MPH

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

[Note: HTML markup is below. Please do not edit.]

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

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PLoS One. 2023 Jul 20;18(7):e0288475. doi: 10.1371/journal.pone.0288475.r006

Author response to Decision Letter 2


8 Jun 2023

Manuscript ID: PONE-D-22-31887R2

“Time to death and its predictors among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Ethiopia, A Retrospective follow up Study."

Dear Academic Editor,

Thank you for sending us your valuable comments, which immensely improved our manuscript. We included all the editorial comments raised and we also enclosed the point-by-point response of attached here with. It is my pleasure to inform you that the manuscript was edited meticulously.

• A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). We uploaded this letter as a separate file labeled 'Response to Reviewers'.

• A marked-up copy of the manuscript that highlights changes made to the original version. We uploaded this as a separate file labeled 'Revised Manuscript with Track Changes' colored in yellow.

• An unmarked version of revised paper without tracked changes. We uploaded this as a separate file labeled 'Manuscript'.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 3

Daniel Bekele Ketema

29 Jun 2023

Time to death and its predictors among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Addis Ababa, Ethiopia, A Retrospective Follow up Study.

PONE-D-22-31887R3

Dear Dr.Belay,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Daniel Bekele Ketema, MPH

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

<quillbot-extension-portal></quillbot-extension-portal>

Acceptance letter

Daniel Bekele Ketema

6 Jul 2023

PONE-D-22-31887R3

Time to death and its predictors among under-five children on antiretroviral treatment in public hospitals of Addis Ababa, Addis Ababa, Ethiopia, A Retrospective Follow up Study

Dear Dr. Belay:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Daniel Bekele Ketema

Academic Editor

PLOS ONE

Associated Data

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    Submitted filename: Comments.docx

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    Submitted filename: Response to Reviewers.docx

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    Submitted filename: Reviewer Comments_1.docx

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    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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