Severe Acute Malnutrition (SAM) associated mortality rate of children attending HIV/AIDS care in North West Ethiopia,2009

Abstract

Objective:

This study aimed to assess Severe Acute Malnutrition (SAM) associated mortality rate of children attending HIV/AIDS care in North West Ethiopia 2009–2019.

Methods:

Institutional-based retrospective cohort study was employed among 721 on antiretroviral therapy care seropositive children since 2009–2019. Data were entered using EpiData version 4.2 and exported to STATA (SE) R-14 version statistical software for further analysis. Beside, Besides, WHO (World Health Organization) Anthro Plus software was used to assess the nutritional status of the children. Bivariable and multivariable Cox regression analyses were conducted to identify the predictors of mortality. Finally, variables with p-value less than 0.05 were considered significant predictors of mortality.

Result:

Overall, 721 (N = 721) seropositive children were included with a mean (±SD) age of 118.4 ± 38.24 months. A median time of death was reported at 19.5 months (interquartile range = ±8.5). The overall mortality rate in this study was determined as 5.4 per 100 child-years (95% confidence interval: 3.6–5.8). Severe stunting (height for age Z-score <−3) (hazard ratio = 2.9, 95% confidence interval: 1.8–6.4), admission with septic shock (hazard ratio = 2.3, 95% confidence interval: 1.2–4.3, p < 0.008), CD4+ count below threshold (hazard ratio = 1.6, 95% confidence interval: 1.19–7.9), and World Health Organization Stages III and IV (hazard ratio = 2.9, 95% confidence interval: 1.8–6.4) were at high risk of mortality.

Conclusion:

A high rate of SAM associated mortality rate within short median (±SD) time to death was reported as compared with previous finding in Ethiopia. Seropositive children presenting with CD4 counts being below a threshold, World Health Organization Stages III and IV, and being nutritionally stunted during antiretroviral therapy initiation were at high risk of early mortality.

Keywords

SAM children HIV mortality rate

Introduction

Malnutrition occurs when an individual fails to take or absorb enough essential nutrients due to different underlying factors, including infection as in HIV)/AIDS. It manifests in three forms—acute (wasting), chronic (stunting), or micronutrient.¹ HIV/AIDS is associated with biological and social factors that affect the individual’s ability to consume, utilize, and acquire food.² Once there is an infection with HIV, the patient’s nutritional status declines further, leading to its advanced clinical stage.^3,4 Substantial reduction in CD4 count and T-cell concentration through HIV causes physiological changes of microbial translocation (16s DNA) and dysregulated lipid metabolism.⁵

More than 2 million children globally are living with HIV infection, and 90% of these reside in sub-Saharan Africa (SSA).³ Despite the remarkable effects of highly active antiretroviral therapy (HAART) in the reduction of morbidity and mortality rate,⁶ all antiretroviral therapy (ART) users may not have equally responded to the therapy. In response to ART, there may be individual variability with some individuals having a slower progression in the recovery rate of immune function and remaining at higher risk of dying from opportunistic infections (OIs).^2,7 Globally, 2.1 million of 33 million people living with HIV/AIDS are children aged <15 years,^8,9 and 90% of these reside in SSA.³ HIV increased poor nutrition as a result of poor food intake and fueled nutrient usage from the body⁴ and increased the incidence of lethal OI for further hospitalization.¹⁰ HIV-infected children with severe acute malnutrition (SAM) are more likely to present with comorbidities and complications, and lethal OIs such as tuberculosis, persistent diarrhea (due to villous atrophy, disaccharide or monosaccharide intolerance), and oral candidiasis, which contributes to anorexia and poor oral intake.⁵

Epidemiologically, the incidence of stunting is declining too slowly, while wasting still has a great impact on too many young children worldwide for hospitalization and further risk of mortality.¹¹ In 2017, 13.8 million children were wasted, of whom 4 million were severely wasted and admitted for SAM treatment.^8,12 In a recent review, more than 30% of severely malnourished children in SSA admitted to inpatient derangement with HIV.² Seropositive children with SAM had approximately nine times the risk of death compared with normal children. In cases in most developing countries, the fatality rate remains high after inpatient admissions (20%–60%).^2,13 Evidence suggests that even relatively small losses in weight (5%) are associated with a decrease in the survival rate of HIV-infected children.¹⁴

Malnutrition in Ethiopia has long been a silent killing crisis and contributing cause for death in infants and young children.¹⁵ According to the Health and Health-Related Indicators (HHRI) of 2014, SAM was the third leading cause of mortality in Ethiopia and accounted for 8.1% of deaths and 20% of hospital admissions.^16
–18 The prevalence of SAM-associated HIV mortality rate ranges from 12.3% to 46.8%.^7,11 However, evidence on predictors for SAM-associated mortality of HIV-infected children <15 years of age remains sparse and inconclusive in Ethiopia.¹⁴ Up-to-date and recent evidence on SAM-related mortality predictors after ART initiation is highly needed for nutritional-based programmatic intervention. Thus, this aimed to assess SAM-associated mortality rate of children attending HIV/AIDS care in Northwest Ethiopia, 2009–2019.

Methods

Study setting and area

This study was conducted in the Benishangul Gumuz regional state (Assosa is the capital city of Benishangul Gumuz regions) and its surroundings, located about 700 km from Addis Ababa adjacent to the Ethio-Sudan border in the northwest of the country. The region is one of the nine regional administrative states of the country. It shares borders with the Amhara region in the north and northeast, the Sudan Republic in the west, the Gambella region in the south, and the Oromia region in the southeast.¹⁹ About 30% of the population live below the national poverty level; hence, the region is characterized as emerging due to its limited infrastructure, including health service facilities. Like other regions in Ethiopia, the region is subdivided into three administrative zones, namely, Assosa, Metekel, and Kemashi.¹ Metekel zone is one of the three administrative zones found in the Benishangul Gumuz region in Northwest Ethiopia between 34°10′N and 37°40′E and in the latitude 09°17′N and 12°06′N. This zone had seven administrative districts with two primary and one referral hospitals.^19,20 Gilgal Belles is the capital of Metekel zone, which is located at 565 and 394 km away from Addis Ababa and Assosa, Northwest of Ethiopia, on the way of Great Ethiopian Renaissance Dam (GERD) at Abay River.^1,20 This is the largest covering 26,272 km², which is half the area of the region. The region has two referral hospitals (Assosa and Pawe Referral hospitals) and 32 health centers. This study was conducted in two health centers (Gilgal Belese and Felege Selam Health center = 2007), and two referral hospitals (Assosa Referral Hospital from Assosa zone = 2007 and Pawe Referral Hospitals from Metekel zone = 2007) were included. Apart from other health services, all these health institutions have been providing ART care service since 2007 for an estimated 2968 catchment population^19,20 (Figure 1).

Figure 1.

Schematic presentation of sampling procedures for the study of seropositive children.

Study design

A multicenter institution-based retrospective cohort study was conducted in 721 HIV-infected children <15 years of age registered on nutritional SMART care service in two hospitals and two health centers from 2009 to 2019.

Study populations

All recoded pediatrics patients below the age of 15 years who received ART and started care in four selected public health facilities were considered as source population. All HIV-infected children who had at least 1 month of ART follow-up on the undernutrition registration book from 1 January 2009 to 31 December 2019 were included. Individual files with incomplete data on nutritional status, such as weight, height, and age, and/or ART treatment outcome were excluded from the study. The intake form registration or follow-up form that lacks the aforementioned variables was excluded. Cases, which transferred to other facilities (transferee out and confirmed accidental death due to injury, unrelated competing causes of death), were excluded.

Sample size determination and sampling techniques

The sample size was calculated using the formula for survival analysis by Moore and Moore²¹ considering two-sided significance level (α = 5%); Z_a/2 = Z value at 95% confidence interval (CI) = 1.96, power (Z_B) = 80%, and P = % cumulative occurrence of death rate, 1.73 HR²²

\begin{array}{l} \begin{matrix} The final \\ sample size (n) \end{matrix} = \frac{Event}{P (Event)} \\ = \frac{(Z_{a / 2} + Z_{B}) 2}{θ^{2} p (1 - p)} \\ = \frac{(za / 2 + ZB)}{p (1 - p) (lnHR) 2} \\ θ = \ln (HR) \\ HR = e^{θ} \end{array}

(1)

where alpha (α) = 0.05, beta (β) = 0.2, AHR = hazard ratio, E = number of event, N (sample size) = E/P (E), where P (E) = probability of event and P = cumulative occurrence of treatment failure valued from reference for sample size calculation.²³ The final sample size was determined as 512.5 after adding 15% contingency for incompleteness. However, from 30 January 2016 to 31 December 2020, 738 charts were there in four institutions. Since it is manageable in resources, we set up and included all 721 charts without the sampling procedure.

Outcome ascertainment

The dependent variable was the death of SAM-admitted children after HIV/AIDS care started, where it is not due to accidental causes. Those records or ART clients who developed death without SAM admission were not included as event of interest for this study; rather, they were counted as censored data. The independent variables included age and sex of children, residence, marital status of caregiver, family size, educational status of the caregiver, World Health Organization (WHO) clinical staging, CD4 count, Hgb, viral load, functional infection and OI, ART regimens types, isoniazid preventive therapy (IPT), cotrimoxazole preventive therapy (CPT), and adherence status of children, weight for age (WFA), height for age (HFA), and weight for height (WFH).

Operational words

SAM is defined anthropometrically by the WHO as a WFH ⩽ −3 Z-score, or mid-upper-arm circumference (MUAC) < 115 mm, or the presence of bilateral edema with failed appetite test.²⁴ Undernutrition is defined as a child having one of the following descriptions: H/Age Z-score < −2, or W/Age Z-score < −2, or W/H Z-score < −2 SD.^8,25 Moreover, the detailed description is given here: moderate underweight was defined as children having W/Age Z-score < −2 SD or severe underweight as children having W/Age Z-score < −3 SD. Moderate stunting was defined as children having H/Age Z-score < −2 SD. Severe stunting was defined as children having H/Age Z-score < −3 SD.^8,18 Moderate wasting was defined as children having W/H Z-score < −2 SD. Severe wasting was defined as children having W/H Z-score < −3 SD.^8,25 A CD4 count: CD4 below the threshold level was classified based on the age of the child (i.e. infants, CD4 < 1500 mm⁻³; 12–35 months, <750 mm⁻³; 36–59 months, <350 mm⁻³; and ⩾5 years, <200 mm⁻³).²⁶ Seropositive children: According to the Federal Ministry of Health (FMOH) Continuum of HIV services referring to a comprehensive package of HIV prevention, diagnostic, treatment, care, and support services provided for people at risk of HIV infection or those living with HIV and their families, children aged < 15 years were classified as seropositive children.^26,27

Data collection instruments

A standard and pretested data extraction form was used to extract the required information from Ethiopia’s Federal Ministry of Health Pediatrics ART follow-up.²⁸ Before the actual data collection, the prepared checklists were pretested on 28 case notes of follow-up of HIV-positive children from Jawi Hospital. The 2-day training was given for six diploma nurses and three degree public health officers on the objective of the study, variables of interest, and maintaining data confidentiality. Strict follow-up and supervision were carried out during data collection by the principal investigators, and feedback was given on a daily basis. The collected data were checked for inconsistencies, coding errors, completeness, accuracy, and missing values.

Data collection procedures and quality assurance

To assure the quality of data, data collectors and supervisors were trained about how and what information they should collect from the medical records for 1 day. The checklist was pretested on 5% of randomly selected charts, which were not included in the actual study. After the pretest, necessary modification of the data collection tool was made. Strict follow-up and supervision were carried out during data collection by the principal investigators, and feedback was given daily. Individual records with incomplete data during data collection were excluded. The collected data were first being checked and cleaned for completeness.

Statistical analyses

Data were entered using EpiData version 4.2 statistical software and exported to STATA (SE) R-14 version statistical software for further analysis. The WHO AnthroPlus Version 1.04 and Emergency Nutrition Assessment (ENA) for SMART Software were used to generate the Z-score (weight for age Z-score (WAZ), height for age Z-score (HAZ), weight for height Z-score (WHZ)/BAZ) to define the nutritional status of seropositive children. We used the Cox regression hazards model to estimate mortality incidence and predictors during risky successive follow-up. Kaplan–Meier survival analysis was used to determine the cumulative probability of death for all seropositive children and the mean time to death. Variable with p-value less than 0.25 in bivariable Cox regression analysis was included in the multivariable Cox regression model. We tested the assumptions of Cox proportional hazards models using Schoenfeld residuals. Variables with an adjusted hazard ratio and 95% CI and a p-value less than 0.05 were claimed as significant predictors of SAM-associated mortality rate of seropositive children.

Result

Sociodemographic characteristics of seropositive children

As depicted in Figure 1, 732 (N = 733) seropositive children who were initiated ART care were reviewed. During the data extraction process, 12 pediatrics files were excluded due to incomplete documentation, and the overall response rate of the extracted data was 721 (99.6%). Among the 721 records included in the final analysis, about half (384–53.26%) were females, and the majority (510–70.74%) were from urban areas. The largest percentage of children was categorized under the age group of ⩾10 years which accounted for 389 (53.96%) of the total subjects with a mean (±SD) age of 9.83 ± 3.3 years. The majority (290–79.89%) of the children living with HIV were in urban residences. The larger proportion—that is, 381 (52.84%) and 337 (46.74%) of caregivers—had both parents alive and occupationally were merchants, respectively. Regarding the family size of children, the majority—462 (64.08%) and 32 (4.44%)—of the participants’ children live in with 3–4 and ⩾4 family members, respectively (Table 1).

Table 1.

Baseline sociodemographic characteristic of HIV-positive children attending ART care in a selected public health facility in Benishangul Gumuz, Northwest Ethiopia (n = 721).

Variables	Categories	Frequency	%
Sex	Male	337	46.7
Sex	Female	384	53.3
Age of children (years)	⩾5	78	10.8
	6–10	254	35.2
	11–15	389	53.9
HIV disclosure status of children	Disclosed	158	21.9
HIV disclosure status of children	Not disclosed	563	78.1
Age of caregivers (years)	⩽45	244	38.8
Age of caregivers (years)	<45	477	66.1
Resident	Urban	510	70.8
Resident	Rural	211	29.3
Marital status of the caregiver	Single	115	15.9
	Married	498	69.1
	Divorced	82	11.4
	Widowed	26	3.6
Family size of caregivers	⩽2	227	31.4
	3–5	462	64.1
	⩾6	32	4.4
HIV status of caregivers	Positive	550	76.3
	Negative	91	12.6
	Unknown	80	11.1
Religions of caregivers	Orthodox	381	52.8
	Muslim	152	21.2
	Protestant	139	19.3
	Catholics	49	6.8
Occupational status of caregivers	Farmer	99	13.7
	Merchant	337	46.7
	Employer	124	17.2
	Laborer worker	161	22.3
Parental status of care children	Both alive	381	52.8
	Paternal orphan	135	18.2
	Maternal orphan	108	14.9
	Both orphaned	97	13.5

Clinical and medication characteristics

From the total 721 children participants, more than one-third, 258 (35.78%), of cases had at least one form of medical OI. The most frequent OIs were diarrheal disease and bacterial pneumonia in 107 (41.47%) and 100 (38.7%) children, respectively. About 156 (64.2%) children started ART based on the WHO criteria of being below 15 years of age, while others were admitted based on CD4 or WHO staging criteria with a median age of ART starting at the age of 5 years. The majority of children, 293 (40.64%), were on AZT-3TC-NVP of ART regimen with a mean baseline hemoglobin (Hgb) of 11.08 g dL⁻¹ and CD4 count of 669.456 cells mm⁻³. A total of 237 (33.1%) and 202 (28.02%) children on ART were on WHO Stages I and II during enrollment in chronic HIV care, while the remaining 282 (39.1%) cases were on Stages III and IV. Concerning the ART adherence at the time of the last ART visit, 356 (49.4%) had good ART adherence, while 188 (26.3%) of them had poor adherence. Nearly two in five, 295 (40.1%), cases had 36–72 months of follow-up. More than half, 419 (58.2%), of the participant children took CPT, whereas 270 (37.45%) did not take IPT. Initially, nearly one-fifth (19.9%) of participant children were moderately underweight, 21.40% were moderately stunted, and 16.6% were moderately wasted. In addition, the proportion of cases presenting with nutritional were classified as severe stunting (19.7%), severe wasting (9.9%), and severe underweight (11.8%) (Table 2).

Table 2.

Clinical and hematologic characteristics of seropositive children attending ART care in Benishangul Gumuz public health facility from 2009 up to 2020.

Variables	Categories	No.	Frequency
Dietary counseling during follow-up	Yes	465	64.5
Dietary counseling during follow-up	No	256	35.51
Admission history of SAM	Yes	124	17.35
Admission history of SAM	No	597	82.6
Opportunistic infection (OIs at baseline)	Yes	258	35.8
Opportunistic infection (OIs at baseline)	No	453	64.2
Types of ART regiment	D4t-3TC-NVP	48	6.66
	D4t-3TC-EFV	26	3.6
	AZT-3TC-NVP	293	40.6
	AZT-3TC-EFV	165	22.8
	TDF-3TC-EFV	104	14.43
	AZT-3TC-LPV/R	36	4.99
	ABC-3TC-NVP	25	3.5
	ABC-3TC-EFV	24	3.3
ART regimen change	Yes	211	29.3
ART regimen change	No	510	70.74
Functional status (age ⩽5 years)	Appropriate	69	71.98
	Delay	15	15.63
	Regression	12	12.5
Developmental history (age >5 years)	Working	488	77.96
	Ambulatory	87	13.90
	Bedridden	51	8.15
Adherence	Good	356	49.4
	Fair	177	24.55
	Poor	188	26.1
WHO clinical stage	I	237	32.87
	II	202	28.1
	III	170	23.6
	IV	112	15.5
IPT	Yes	451	62.5
IPT	No	270	37.45
CPT	Yes	419	58.1
CPT	No	302	41.9
CD4 count or percent	Below the threshold	308	42.7
CD4 count or percent	Above threshold	413	57.3
Hemoglobin level (g dL⁻¹)	⩽10	229	31.78
Hemoglobin level (g dL⁻¹)	>10	492	68.24
ART eligibility criteria	Immunologic	81	11.3
	Clinical stage	96	13.3
	WHO clinical stage	79	10.96
	By CD4 threshold	199	27.60
	Testing and treat	266	36.89
Types of opportunistic other than TB	Bacterial pneumonia	79	30.6
	Diarrhea	74	28.8
	Meningitis	9	3.6
	PCP	6	2.33
	Skin dermatitis	7	2.7
	Kaposi’s sarcoma	5	1.9
	Acute/chronic otitis media	9	3.5
	Others	3	1.18
	TB	66	9.15
Duration on ART (months)	⩽36	223	30.93
	36–72	295	40.92
	⩾72	203	28.16
Current status of children	On follow-up	539	74.76
	Transferred into the adult cohort	68	9.43
	Lost from follow-up	13	1.8
	Drop	11	1.53
	Died	90	12.48
Maternal PMTC follow-up history	Yes	487	67.6
Maternal PMTC follow-up history	No	234	32.4
MUSIC (CM)	⩽11.5	270	37.45
MUSIC (CM)	>11.5	451	62.55
Tuberculosis treatment history	Yes	66	9.15
Tuberculosis treatment history	No	655	90.85
Underweight (WFA)	Normal	491	68.1
	WAZ < −2	144	19.9
	WAZ < −3	86	11.93
Stunting (HFA)	Normal	428	59.4
	HAZ < −2	154	21.4
	HAZ < −3	139	19.2
Wasting (WFH)	Normal	531	73.5
	WHZ < BAZ−2	119	16.6
	WHZ or BAZ < −3	71	9.9
Underweight (WFA)	Normal	491	68.1
	WAZ < −2	144	19.9
	WAZ < −3	86	11.93
Survival status of children	Died	90	12.07
Survival status of children	Survived	634	87.93

SAM: severe acute malnutrition; ART: antiretroviral therapy; WHO: World Health Organization; WFA: weight for age; WFH: weight for height; HAZ: height for age Z-score; WAZ: weight for age Z-score; WHZ: weight for height Z-score; WHO: World Health Organization.

SAM-associated mortality rate of seropositive children

Nearly 1 (17.2%) in 5 of 124 participant cases had SAM diagnosed and admitted in stabilizing centers for inpatient treatment. Of the total 124 SAM with HIV cases, 72.58% (N = 90/124) were dead. Of the total 124 SAM cases, the majority, 52.4% (N = 64/124), of them were male in gender and 34.8% (N = 42/124) were within 5–10 years of age. The overall SAM-associated HIV-infected children’s mortality rate was determined as 5.4 per 100 child-years (95% CI: 3.6–5.8) (Table 3).

Table 3.

Incidence density rate of SAM-associated mortalityon selected soci-odemographic variables among among HIV infected children received ARTat selected Health institutionattending ART from 2009–2020 North west Ethiopia (N = 721).

Variables	Categories	SAM with HIV admitted cases (N = 124)	SAM with HIV associated Death (N = 90)	Survivors (n = 631)	PPM = (16,668.1M)	IDR/100 months	95% CI
Sex	Male	65/124 (52.4%)	50 (55.5%)	289 (45.8%)	8288.7363	0.60322	0.4578–0.7983
Sex	Female	59/124 (47.6%)	40 (44.4%)	342 (54.2%)	8379.3403	0.46543	0.340–0.6372
Resident	Urban	70/124 (56.45%)	26 (28.8%)	480 (76.1%)	11397.498	0.22812	0.15532–0.33504
Resident	Rural	54/124 (43.5%)	64 (71.1%)	151 (23.9%)	5270.579	1.19531	0.9337–1.5301
Age (years)	⩽5	33/124 (26.6%)	37 (41.1%)	56 (8.81%)	2760.6287	1.34027	0.97108–1.84982
	6–10	42/124 (33.8%)	26 (28.8%)	247 (39.2%)	6070.364	0.41183	0.27828–0.60949
	11–15	49/124 (39.5%)	27 (30%)	328 (51.9%)	7837.0839	0.34451	0.2362–0.50237

SAM: severe acute malnutrition; CI: confidence interval, PPM: person per month, IDR: Incidence density rate.

Survival and hazard estimate of cohorts

The study participants were followed for 16,668.077 Person per Month (PMOS) of total analysis of mortality under risk observation. At the end of the follow-up, more than half (74.79%, n = 539) were on follow-up, 1.86% (n = 13) were lost to follow-up, 9.40% (n = 68) were transferred into adult cohort, 1.53% (n = 11) dropped out, and the remaining 12.48% (n = 88) died. A median time of death reported and median survival probability were determined as 19.5 months (interquartile range (IQR) = ±8.5 months) and 92.9% (CI: 91.59–95.6), respectively. Regarding the time for death, 11.2%, 48.2%, and 81.6% mortality propertions of particicpant cases was reported 1, 12, 24, 48, and 72 months after ART initiated, respectively.

Log-rank test for the mortality difference

The Kaplan–Meier survival curve together with the log-rank test shows differences in hazards of death on different covariates. Cases at baseline with anemia (Hgb <10 mg dL⁻¹), WHO clinical stage (III and IV), and CD4 below threshold had statistical survival differences between undernourished and counter groups (Figures 2 and 3).

Figure 2.

The Kaplan–Meier failure estimate curves to compare the hazard of death for HIV-positive children on ART on WHO clinical stages, Northwest Ethiopia, 2020.

Figure 3.

The Kaplan–Meier failure estimate curves to compare the hazard of death for HIV-positive children on ART on ART adherence, Northwest, Ethiopia, 2021.

Bivariable and multivariable Cox regression analysis

In variables, adjusted regression analysis factors with a p-value ⩽0.25 were sex, age, CD4, WHO clinical stage, adherence to ART, Hgb, family size, duration of follow-up, CPT, IPT, wasting, stunting, MUAC, OI, regiment type, caregiver income, and dietary diversity counseling which was a candidate for multivariable Cox regression. Finally, after adjustment for certain confounding, four variables were independently coupled with SAM-associated mortality incidence of seropositive children. Hence, participant children with baseline CD4+ count below the threshold were 2.6 (AHR = 2.6, 95% CI: 1.2–7.9) times at increased risks of death compared with children with CD4+ count above the threshold. Similarly, cases who presented with WHO Stages III and IV were 2.9 (AHR = 2.9, 95% CI: 1.8–6.4) times at increased hazard of death during successive follow-up compared with WHO clinical Stages I and II. Moreover, the risk of mortality for malnutrition-diagnosed seropositive children with baseline septicemia shock had fold (AHR = 2.3, 95% CI: 1.2–4.3, p < 0.008) increased the risk of death compared with counter groups. Participant cases presenting with severe stunting at the beginning of ART had 2.9 (AHR = 2.9, 95% CI: 1.8–6.4) times death hazard compared with non-stunted children (Table 4).

Table 4.

Bivariable and multivariate Cox regression analysis for SAM-associated mortality rate of children attending HIV/AIDS care in Northwest Ethiopia, 2009–2019.

Variables	Categories	Survival status		CHR	AHR	p
Variables	Categories	Died	Censored	CHR	AHR	p
Sex	Male	35	302	Ref.	Ref.
Sex	Female	56	328	1.3 (0.88–2.07)	1.7 (0.7–1.7)	0.28
Age (years)	⩽5	29	49	2.8 (1.7–4.6)	1.7 (0.79–3.2)	0.17
	6–10	23	231	1.2 (0.79–2.11)	2.5 (0.93–4.5)	0.052
	11–15	38	351	Ref.	Ref.
Residence	Urban	61	449	1.16 (0.73–1.87)	1.12 (0.7–1.85)	0.65
Residence	Rural	29	182	Ref.	Ref.
CD4 count	Below threshold	70	238	3.12 (1.9–7.2)	2.6 (1.2–7.85)	0.018*
CD4 count	Above threshold	20	393	Ref.	Ref.
WHO stage	I and II	8	435	Ref.	Ref.
WHO stage	III and IV	82	196	10.9 (5.2–22.7)	4.5 (2.8–8.4)	0.001*
Adherence	Optimal adherence	21	489	Ref.	Ref.
Adherence	Suboptimal adherence	69	142	6.3 (3.8–10.3	1.7 (0.6–2.9)	0.53
Dietary counseling	Yes	44	421	Ref.	Ref.
Dietary counseling	No	46	210	1.8 (1.5–2.5)	1.9 (0.5–1.5)	0.19
Disclosure status	Yes	54	104	3.3 (2.3–5.1)	1.7 (0.59–2.8)	0.43
Disclosure status	No	36	527	Ref.	Ref.
Duration of follow-up (months)	⩽36	6	217	Ref.	Ref.
	36–72	19	276	2.1 ( 0.9–5.1)	2.1 (0.7–5.7)	0.18
	⩾72	65	138	7.1 (3.1–16.3)	2.6 (0.8–3.6)	0.07
Wasting	Normal	70	461	Ref.	Ref.
	WHZ or BAZ < −2	18	101	9.6 (1.28–12.6)	0.8 (0.18–4.3)	0.58
	WHZ or BAZ < −3	2	69	7.8 (1.8–16.3)	1.07 (0.5–1.9)	0.25
Underweight	Normal	34	457	Ref.	Ref.
	WAZ < −2	18	126	1.6 (0.91–2.91)	0.6 (0.3–1.17)	0.13
	WAZ < −3	38	48	2.9 (1.8–4.82)	1.2 (0.6–2.1)	0.69
Stunting	Normal	18	410	Ref.	Ref.
	HAZ < −2	29	125	5.6 (2.5–8.4)	1.6 (0.8–3.2)	0.15
	HAZ < −3	43	96	4.6 (3.2–9.9)	2.9 (1.8–6.4)	0.01*
MUAC (mm)	⩽11.5	56	214	4.5 (2.1–6.1)	1.5 (0.6–4.2)	0.11
MUAC (mm)	>11.5	34	417	Ref.	Ref.
CPT	Yes	17	402	Ref.	Ref.
CPT	No	73	229	2.5 (1.6–7.6)	1.2 (0.43–4.5)	0.29
Septic shock	Yes	46	57	3.8 (2.5–5.8)	2.3 (1.2–4.3)	0.008*
Septic shock	No	44	574	Ref.	Ref.

WHO: World Health Organization; CPT: cotrimoxazole preventive therapy; MUAC: mid-upper-arm circumference.

indicate stastistically significant variables.

Discussion

SAM is one of the most common problems for children living with HIV/AIDS and contributes to premature death and escalated the incidence of lethal OI.⁶ At the end of this study, more than half (74.79%, n = 539) of the participant cases were on follow-up, 1.86% (n = 13) absconded or were lost to follow-up, 9.40% (n = 68) were transferred into the adult cohort, 1.53% (n = 11) dropped out, and the remaining 12.48% (n = 90) died.

The overall crude death rate of HIV-infected SAM cases (N = 90/721) in our study (12.48%; n = 90) was lower compared to other studies in Ethiopia, such as in Amhara regional hospitals (30%),²² Northwest Ethiopia (46.2%),⁸ Woldia hospital (30.8%),¹⁷ and Burkina Faso (39.7%).¹³ Nevertheless, the finding of this report is higher than the result in Wolkite Hospital (5.3%).⁷ Similar associations with contemporary clinical trial among African seropositive children with severe edematous malnutrition were significantly increased with subsequent ART initiation. In the Anti-Retroviral Research for Watoto (ARROW) clinical trial, 3.03% of 1207 African children were hospitalized for SAM treatment within 2 months after ART initiation.^5,29 The immune recovery usually occurred rapidly in HIV-infected children after ART initiation and experienced profound benefit from ART in a subset clinically worsen of IRIS recovery—a paradoxical infectious or inflammatory condition in a patient recovering from their severe immune reconstitution deficiency. This is also directly correlated with our reports; at 24 months after ART, more than half of (46/90, 51.2%) the death were reported with a median time for death reported at 19.5 months (IQR = ±8.5).

The relation of malnutrition and HIV/AIDS-associated mortality was more complex and modified on factor escalated for mortality rate. Similar to the finding registered in Abdu et al.⁷ and Animut et al.,³⁰ a high burden of malnutrition-associated death for seropositive children of male gender and rural resident was observed; a majority of 50 (55.5%) and 64 (71.1%) participants’ mortality cases in our research also occurred in male and rural children, respectively. Furthermore, the inpatient mortality incidence rate (IDR) of SAM among HIV-infected children in our report was 5.4 per 100 child-years (95% CI: 3.6–5.8), which was higher than in Amhara regional hospitals (3.2%),³⁰ but comparable with finding in Northwest Ethiopia (4.4%)⁸ and national data reviewing of 24 months (5%–8%).^7,26 This might be mortality incidence after SAM hospitalization for children living with HIV/AIDS can precipitate from several factors—the infection itself, with lack of immunological and virological controls.³¹ However, this report is inconsistent with 11.2% of findings of Southern Ethiopia⁷ and 8.8% in central Addis Ababa.⁸ This difference might be due to the differences in the discrepancy of the sample size of the study population or the health professional’s poor adherence to inpatients; SAM therapeutic guidelines³² might also have worthless increased 50% inpatient death.³³ Alternatively, it could be due to disparity of socioeconomic besides home feeding styles of different ethnic groups of the country and healthcare service differences in different health institutions. Mortality relative risks of malnutrition-associated seropositive children have positive association. In this study, participant case having CD4 cell count below the threshold had 2.6 (AHR = 2.6, 95% CI: 1.2–7.9) times increased death hazard compared with children with CD4 cell count above the threshold at baseline. This is consistent with another report in Ethiopia,^7,11,30,34 which all indicated that below threshold CD4 count after ART initiation was significantly associated with mortality incidence of SAM within AIDS co-infected children. Moreover, consistent with a study finding from Burkina Faso¹³ and Nigeria,³⁵ the risk of mortality for SAM of HIV-diagnosed children at admission who developed septic shock had nearly twofold (AHR = 1.7, 95% CI: 1.6–2.9, p < 0.013) increased hazards of death than their negative (counter) peers. Multiple infections and metabolic complications have synergism on death occurrence in severely malnourished children. Rationally, malnutrition was one of the preliminary causes for incidence of OI, which hastened a sharp reduction in CD4 count and survival probabilities.²⁰ Preferentially when nutritionally the body became malnourished, CD4+ and CD8+ T-cells are important in controlling HIV infection; they will be deleted, and stimulations of cytokines, such as TNFα, IL-6, IL-10, and IFNγ, from the lymphoid tissue, paradoxically, will help propagation and advancement of HIV infection. Another finding in this study, death hazard for HIV-positive children with advanced clinical diseases (WHO Stage III and IV), was significantly associated with mortality incidence. This is consistent with the finding in West Shewa, Ethiopia,³⁶ Malawi,³⁷ South Africa,³⁸ and Eastern India.³⁹ The risk of developing and recurrence of OI are double-fold increased with the advancement of HIV disease; furthermore, fatal incidence of OIs and then death will be inevitable. Malnutrition in HIV-positive children is rapidly ameliorated if they are given adequate foods in the right frequency and diversity with ART.¹¹ However, household food insecurity undermines such efforts; even in food- and nutrition-rich area, people have undernutrition and are inevitably exposed to be stunted.^3,40 In this study, baseline severe stunting was another crucial predictor of mortality incidence for both HIV/AIDS and SAM co-infected children. Children who were severely stunted after ART had higher risks of mortality incidence compared with seropositive children who do not have both infections. This is consistent with the finding in Northwest Ethiopia,⁸ Tanzania,⁴¹ and Burkina Faso.¹³ Rationally, malnutrition is an inevitable end-stage complication of HIV infection. Severe stunting is associated with a weakened immune system and complication of the late treatment of intestinal parasite, further resulting in long-term complication on the ability to absorb various nutrients (dysregulated lipid metabolism and proteolysis) into the body. In some instance of this study, children who had recurrent oral lesions were more likely to be stunted and highly exposed to death. This is because children with oral lesions have difficulty swallowing, which leads to nutritional imbalance less than body requirement; the gastrointestinal tract is the largest lymphoid organ in the body and is directly affected by HIV infection and causes damage to the intestinal cells by causing villous flattening and decreased D-xylose absorption. This leads to carbohydrate and fat malabsorption, thereby affecting fat-soluble vitamins, such as vitamins A and E, which are important for the proper functioning of the immune system. Whereas larger amounts of nutrients are required during fever and infections that accompany an HIV infection, they are utilized poorly by the body. This leads to loss of weight and lean muscle tissue, further causing damage to the immune system and reducing food intake and nutrient absorption, also causing disruption of metabolism, chronic infections, muscle wasting, or loss in lean body tissue.^3,36

Limitation of the study

This study should be seen in light of some limitations, namely, the secondary nature and missed important variables, such as household food security status of the caregiver, and had a high impact on malnutrition assessment of children. A further prospective study on a large size of study participants or randomized clinical trials is needed to better understand the actual predictors of undernourishment—both macro- and micronutrients among children living with HIV for evidence-based action.

Conclusion

In our study, high SAM-associated mortality rate of HIV-infected children was reported compared with previous findings in Ethiopia. Participant cases presenting with a baseline CD4 count below the threshold, WHO clinical Stages III and IV, being severely stunted, and having a history of shocked during admission had a higher risk of mortality. This calls the government to give due attention and strengthen HIV/AIDS treatment, care, and time-relevant nutritional support for the risky individual.

Research Data

sj-docx-2-smo-10.1177_20503121221081337 – for Severe Acute Malnutrition (SAM) associated mortality rate of children attending HIV/AIDS care in North West Ethiopia, 2009–2019

sj-docx-2-smo-10.1177_20503121221081337 for Severe Acute Malnutrition (SAM) associated mortality rate of children attending HIV/AIDS care in North West Ethiopia, 2009–2019 by Fassikaw Kebede in SAGE Open Medicine

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Supplemental Material

sj-dta-1-smo-10.1177_20503121221081337 – Supplemental material for Severe Acute Malnutrition (SAM) associated mortality rate of children attending HIV/AIDS care in North West Ethiopia, 2009–2019

Supplemental material, sj-dta-1-smo-10.1177_20503121221081337 for Severe Acute Malnutrition (SAM) associated mortality rate of children attending HIV/AIDS care in North West Ethiopia, 2009–2019 by Fassikaw Kebede in SAGE Open Medicine

Footnotes

Acknowledgements

The success of this study was not thinkable without the help of my family members in financial support during data collection. We would like also to thank the data collectors and supervisors for their unreserved cooperation during data collection. We would like to thank Pawe referral Hospital administrative staff members, especially Mr. Nemera Ethicha Bekonjo (chief manager of the Pawe hospitals) for his invaluable and unreserved cooperation during data collection. Finaly we/ I would like to thanks Gilgal Belese Health center, Felege SelamHealth center Assosa Hospitals and Pawe Hospitals; administrativestaffe members for their permission forthe data extractions of this research.

Author contributions

F.K. conceived the study and supervised the data during the collection processes. In addition, F.K. analyzed the software and wrote the original article. Finally, the authors commented, edited the draft, and approved the final version to be submitted.

Availability of data and materials

All relevant data within the article are in the hand of the main author with a reasonable request.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Ethical approval

The institutional review board (IRB) of Debre Markos University College of Medicine and Health Science School of Public Health graduate class approved this study by Ref. No: HSC/984/16/12. A formal letter was submitted for all selected health institution for data collection permission with meeting number 001/2910.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Informed consent

Written informed consent was obtained from every legally authorized representative of participant cases after the purpose and risks fully explained by their local language prior to the start of the study.

ORCID iD

Fassikaw Kebede

Supplemental material

Supplemental material for this article is available online.

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Supplementary Material

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Severe Acute Malnutrition (SAM) associated mortality rate of children attending HIV/AIDS care in North West Ethiopia,2009–2019

Abstract

Objective:

Methods:

Result:

Conclusion:

Keywords

Introduction

Methods

Study setting and area

Study design

Study populations

Sample size determination and sampling techniques

Outcome ascertainment

Operational words

Data collection instruments

Data collection procedures and quality assurance

Statistical analyses

Result

Sociodemographic characteristics of seropositive children

Clinical and medication characteristics

SAM-associated mortality rate of seropositive children

Survival and hazard estimate of cohorts

Log-rank test for the mortality difference

Bivariable and multivariable Cox regression analysis

Discussion

Limitation of the study

Conclusion

Research Data

sj-docx-2-smo-10.1177_20503121221081337 – for Severe Acute Malnutrition (SAM) associated mortality rate of children attending HIV/AIDS care in North West Ethiopia, 2009–2019

Supplemental Material

sj-dta-1-smo-10.1177_20503121221081337 – Supplemental material for Severe Acute Malnutrition (SAM) associated mortality rate of children attending HIV/AIDS care in North West Ethiopia, 2009–2019

Footnotes

Acknowledgements

Author contributions

Availability of data and materials

Declaration of conflicting interests

Ethical approval

Funding

Informed consent

ORCID iD

Supplemental material

References

Supplementary Material