Abstract
Background
Under nutrition is one of the leading causes of morbidity and mortality in under-five children in developing countries including Ethiopia. In Ethiopia, many children with severe acute malnutrition (SAM) are treated at inpatient therapeutic feeding centers. However, the survival status and its determinants are not well understood. Therefore, the aim of this study was to estimate the survival status and its determinants among under-five children with severe acute malnutrition admitted to inpatient therapeutic feeding centers (ITFCs).
Methods
A record review was conducted on 414 under-five children who were admitted with severe acute malnutrition to ITFCs in South Wollo Zone, northeast Ethiopia, between September 11, 2014, and January 9, 2016. Data were entered into Epi-Info version 7.2 and analyzed using SPSS version 20. Life table analysis was used to estimate cumulative proportion of survival. The relationship between time to recovery and covariates was determined using Cox-proportional hazards regression model. p < 0.05 was used to declare presence of significant association between recovery time and covariates.
Results
Of the total children recorded, 75.4% of children were recovered and discharged, 10.3% were defaulters, 3.4% died, 7.4% were nonresponders, and 3.4% were unknown. The mean (±standard deviation) time to recovery was 12 (±5.26) days, whereas the median time to recovery was 11 (interquartile range of 8–15) days. Children's breastfeeding status at admission (AHR: 1.42, 95% CI: 1.10, 1.83) and children without comorbidities at admission (AHR: 1.44, 95% CI: 1.03, 2.00) had statistically significant effect on time to recovery from SAM.
Conclusion
All treatment responses in this study were within the recommended and acceptable range of global standards. Policy makers, health facilities, and care providers may need to focus on the importance of breastfeeding especially for those under two years of age and give emphasis for cases with comorbidities.
1. Introduction
Globally, under nutrition remains one of the most common causes of morbidity and mortality among children. Nearly 20 million children below 5 years of age suffer from wasting and are at risk of death or severe impairment of growth and psychological development [1]. Of these, over 90% are found in South and Southeast Asia and sub-Saharan Africa. About one million deaths occur annually among children under five years of age in developing countries [2]. Ethiopia has one of the highest child mortality rates in the world with 57% of all deaths in children who have stunting and wasting as the underlying cause [3]. The percentages of children with stunting, wasting, and underweight at national level were 40, 9, and 26, respectively [4]. The minimum international standard set for management of severe acute malnutrition (SAM) is a recovery rate of at least 75% and death rate less than 10% [5, 6].
Studies conducted in Ethiopia revealed that the recovery rates and median survival times of under-five children with SAM were ranged from 83% to 89% and 14 days to 25 days, respectively [7–11]. Previous research studies conducted in the country identified determinants of children's survival. Sex of child, medical comorbidities, treatment and follow-up status, and clinical diagnosis of SAM were associated to survival of children [12–16]. The Ethiopian Ministry of Health established inpatient therapeutic feeding centers in the health facilities to reduce SAM-related mortalities of under-five children. Despite the existence of SAM management at hospital or health center level in every corner of the country, deaths due to SAM is indicated to be still high, and little is known about the recovery time and its determinants from SAM particularly in under-five children admitted to inpatient therapeutic feeding centers (ITFCs) [17].
This study aimed to estimate the survival status and its determinants among under-five children with severe acute malnutrition admitted to inpatient therapeutic feeding centers (ITFCs) in South Wollo Zone, northeast Ethiopia, over the past two and half years. Thus, these findings would be essential to provide evidences for decision makers, health facilities, and care providers to take measures to target those children at highest risk of slow recovery.
2. Methods
2.1. Study Design, Period, and Setting
A facility-based retrospective record review was employed to estimate survival status and its determinants among under-five children with severe acute malnutrition admitted to ITFCs in South Wollo Zone, northeast Ethiopia, from September 11, 2014, to January 9, 2016. The study was conducted in South Wollo Zone, which is bordered on the south by North Shewa, on the west by East Gojjam, on the northwest by South Gondar, on the north by North Wollo, on the northeast by Afar Region, and on the east by the Oromia Zone and Argobba special district. It is one of the 11 Zones found in Amhara National Regional State. The zone has twenty-two districts. The zone has a total population of 2,518,862, of whom 1,248,698 are men and 1,270,164 women. It has a total area of 17,067.45 square kilometers. The population density of the zone is 147.58 per square kilometer. About 12% of the population inhabits urban areas. Children under five years of age constitute 352,642 of the population [18]. According to the South Wollo Zone Health Department report, the zone has seven governmental hospitals, one hundred thirty-five health centers, and four hundred ninety-six health posts. Most of these people are seasonal agriculturalists and prone to recurrent drought and food insecurity. The common health problems in this zone are diarrhea, under-five pneumonia, other communicable diseases, and malnutrition [19].
2.2. Study Participants
Under-five children in the study area were screened for signs of SAM and diagnosed based on anthropometric measurements and examination of the feet for bilateral pitting edema. They were admitted to ITFCs after fulfilling the criteria of admission. They were admitted if the W/H was <70% of the median WHO growth reference, or if the mid upper arm circumference (MUAC) was less than 11 cm, or children with bilateral pedal edema [20]. On admission, malnourished patients were assessed for hydration status, anemia, and signs of infections. They were given oral dose of vitamin A, mebendazole, folic acid, and a course of amoxicillin for five days. Rehydration solution for malnutrition (ReSoMal) was used for treating dehydrated cases, and drugs such as gentamicin, chloramphenicol, or quinine were used based on causes of infections. Treatment of severe malnutrition was divided into three phases: the first phase (phase I), transition phase, and phase II. In phase I, health workers resuscitated patients, treated for infections, restored electrolyte balance, and prevented hypoglycemia and hypothermia on indication. F75 milk (formula 75 that contains 75 kcal in 100 ml, minerals, and proteins) was used during phase I treatment; malnourished cases who responded on treatment by return of appetite, beginning of loss of edema, and no intravenous line or nasogastric tubes were transferred to transition phase to receive F100 (formula 100 that contains 100 kcal in 100 ml). Afterwards, cases were transferred to phase II after they gained good appetite (finish 90% of F100 prescribed for transition phase) and cleared edema. The discharge criterion for children with SAM is W/H ≥ 85% [21].
2.3. Sample Size and Sampling Procedures
Sample size was determined based on the assumptions with recovery rate of 93.3%, hazard ratio of 0.38 [9], 5% margin of error, 95% CI, and power of 80%. Thus, considering after 10% adding for incomplete records, the total number of study sample size was 414. There are 46 public health facilities that have ITFCs in South Wollo Zone. Of these, 15 public health facilities were randomly selected and included in the study. After proportional allocation was employed for each health facility, a total sample size of 414 under-five children with SAM were selected for the study using systematic random sampling method (Figure 1).
2.4. Data Analysis
The data were collected by reviewing records from ITFCs' registration book and individual follow-up chart using standardized and pretested data collection tool. Data were entered into Epi-Info version 7.2 and analyzed using SPSS version 20. The outcome variable in this study was time to recovery (stabilized and discharge to outpatient therapeutic centers) following treatment for SAM. Children who defaulted from treatment, died, or became nonresponders were considered to be censored. Finally, the outcome of each subject was dichotomized into censored or survived/recovered.
For comparison, demographic characteristics were described in terms of mean (standard deviation) and median (interquartile range) for continuous data and frequency distribution for categorical data. Determinants were assessed by bivariate and multivariable screening models. Variables in the bivariate analysis of sociodemographic and admission information, medical comorbidities, treatment given, and follow-up with respect to survival status, which were found at p value <0.20, were further considered in to multivariable Cox-regression model. The enter method of selection for final model was used. Crude and adjusted hazard ratios with their 95% confidence interval (CI) were estimated, and p < 0.05 was used to declare presence of significant association between time to recovery and covariates. Life table analysis was used to estimate cumulative proportion of survival among children with SAM at different time points. Kaplan–Meier test was used to show nutritional survival time after initiation of inpatient treatment, and log rank survival curve was used to compare median survival time between groups.
3. Results
3.1. Sociodemographic and Admission Characteristics
Four hundred six children were included in the study with response rate of 98%. From these children records, 229 (56.4%) were male and 177 (43.6%) were female. Their mean (±SD) age was 16.7 (±10.96). Of the total study subjects admitted to ITFCs, 36 (8.9%) were under six months. Three hundred thirty (81.3%) children were admitted from rural residences. Of the total of 406 children records, 308 (75.9%) were clinically diagnosed as marasmus, 60 (14.8%) were kwashiorkor, and 38 (9.4%) were marasmic-kwashiorkor at admission. Three hundred seventy-three (65.4%) of the admission criteria was W/H <70%. Among edematous cases, forty nine (50%) of them had edema in both feet, in legs, and in hands or face (grade 3). Among the total children, 394 (97%) of them were newly admitted and the rest 12 (3%) were repeat. One hundred eighteen (29.1%) children were admitted during spring and 117 (28.8%) children were admitted during summer (rainy) seasons. However, the rest, 92 (22.7%) and 79 (19.5%), were admitted during autumn (crop harvesting time) and winter (sunny) seasons, respectively. When they were tested for appetite at admission, 235 (57.9%) failed and 171 (42.1%) passed. When they checked for breastfeeding status at admission, 286 (70.4%) had been breastfed and 120 (29.6%) had not been breastfed (Table 1).
Table 1.
Variables | Frequency | Percentage |
---|---|---|
Age of child in months (n=406) | ||
1–24 months | 345 | 85.0 |
25–59 months | 61 | 15.0 |
| ||
Sex (n=406) | ||
Male | 229 | 56.4 |
Female | 177 | 43.6 |
| ||
Place of residence (n=406) | ||
Urban | 76 | 18.7 |
Rural | 330 | 81.3 |
| ||
Clinical classification/diagnosis(n=406) | ||
Only edema (kwashiorkor) | 60 | 14.8 |
Only wasting (Wt/Ht) | 308 | 75.9 |
Both edema and wasting (marasmic-kwashiorkor) | 38 | 9.4 |
| ||
Admission criteria (n=406) | ||
Wt/Ht < 70% | 265 | 65.4 |
W/A < 60% (marasmus) | 15 | 3.7 |
Edema (kwashiorkor) | 71 | 17.4 |
MUAC <110 mm | 55 | 13.5 |
| ||
Grades of nutrition edema (n=98) | ||
Grade 1 (+) | 15 | 15.3 |
Grade 2 (++) | 34 | 34.7 |
Grade 3 (+++) | 49 | 50.0 |
| ||
Admission status (n=406) | ||
New | 394 | 97.0 |
Repeat | 12 | 3.0 |
| ||
Season of admission (n=406) | ||
Summer (Jun. to Aug.) | 117 | 28.8 |
Autumn (Mar. to May) | 92 | 22.7 |
Winter (Dec. to Feb.) | 79 | 19.5 |
Spring (Sep. to Nov.) | 118 | 29.1 |
| ||
Appetite test at admission (n=406) | ||
Pass | 171 | 42.1 |
Fail | 235 | 57.9 |
| ||
Breastfeeding status at admission (n=406) | ||
No | 120 | 29.6 |
Yes | 286 | 70.4 |
3.2. Anthropometric Measurements
The mean (±SD) weight of children was 6.29 (±1.95) kilograms at admission and 6.75 (±1.99) kilograms at discharge. The children's mean (±SD) height was 69.76 (±10.04) centimeters at admission and 70.12 (±9.39) centimeters at discharge. The mean (±SD) mid upper arm circumference of children was 103.00 (±8.39) millimeters at admission and 112.82 (±9.48) millimeters at discharge.
3.3. Medical Comorbidities, Treatment Given, and Follow-Up
Of the total 406 children admitted to inpatient therapeutic feeding centers (ITFCs), 355 (87.4%) had medical comorbidities. Of all comorbidities, fever was 210 (51.7%), cough/pneumonia was 179 (44.1%), and diarrhea was 164 (40.4%). Among diarrheal cases, 113 (68.9%) of the children had watery diarrhea and 98 (9.8%) had no dehydration. Of the total 406 children admitted to ITFCs, 386 (95.1%) had been given antibiotics, 260 (64.0%) vitamin A, 180 (44.3%) deworming, and 174 (42.9%) zinc tablet. However, the rest did not take any medication. Almost all of the children, 387 (95.3%), were immunized. Of all children admitted, 263 (64.8%) had been given paracetamol tablet/syrup, 57 (14%) ReSoMal, and 201 (49.5%) special (like ceftriaxone, ringer lactate, normal saline) IV medication (Table 2).
Table 2.
Variables | Frequency | Percentage |
---|---|---|
Had the child comorbidities (n=406) | ||
No | 51 | 12.6 |
Yes | 355 | 87.4 |
| ||
Which comorbidities? | ||
Fever (body temperature >37.5°C) | 210 | 51.7 |
Diarrhea | 164 | 40.4 |
Cough/pneumonia | 179 | 44.1 |
Malaria | 15 | 3.7 |
Vomiting | 110 | 27.1 |
Sepsis | 28 | 6.9 |
Superficial infection (skin or ear infection) | 42 | 10.3 |
Severe anemia | 19 | 4.7 |
HIV/AIDS | 7 | 1.7 |
Hypothermia (body temperature ≤35°C) | 11 | 2.7 |
TB | 4 | 1.0 |
Others | 6 | 1.5 |
| ||
Type of diarrhea (n=164) | ||
Watery | 113 | 68.9 |
Dysentery | 51 | 31.1 |
Degree of dehydration (n=164) | ||
No dehydration | 98 | 59.8 |
Some dehydration | 61 | 37.2 |
Severe dehydration | 5 | 3.0 |
| ||
Was the child given antibiotic? (n=406) | ||
No | 20 | 4.9 |
Yes | 386 | 95.1 |
| ||
Was the child given vitamin A? (n=406) | ||
No | 146 | 36.0 |
Yes | 260 | 64.0 |
| ||
Was the child given deworming? (n=406) | ||
No | 226 | 57.7 |
Yes | 180 | 44.3 |
| ||
Was the child given zinc tab? (n=406) | ||
No | 232 | 57.1 |
Yes | 174 | 42.9 |
| ||
Immunization status (n=406) | ||
Fully immunized | 294 | 72.4 |
Up to date | 93 | 22.9 |
Not yet immunized | 19 | 4.7 |
| ||
Was the child given paracetamol tab/syrup (n=406) | ||
No | 143 | 35.2 |
Yes | 263 | 64.8 |
| ||
Was the child given ReSoMal (n=406) | ||
No | 349 | 86.0 |
Yes | 57 | 14.0 |
| ||
Was the child given special IV medication? (n=406) | ||
No | 205 | 50.5 |
Yes | 201 | 49.5 |
3.4. Treatment Response and Length of Stay for Recovery
Of the total 406 children admitted to ITFCs, the recovery rate from SAM was 306 (75.4%), whereas the remaining 14 (3.4%) children died, 42 (10.3%) defaulted, 30 (7.4%) were nonresponders, and 14 (3.4%) were unknown.
The overall average (±SD) length of stay for the edematous children with SAM was 12.5 (±5.6) days, and children with SAM that stayed almost similar in the ITFCs had severe wasting (12.0 (±5.1)). The median (IQR) length of stay for children who were diagnosed with edematous and severely wasted was 12.5 (8, 16) and 11.0 (8, 15) days, respectively.
3.5. Determinants of Nutritional Recovery Time
After minimizing the confounders, only two variables were associated with time to recovery. Children who had breastfeeding status and children who had no comorbidities at admission had shown significant association with time to recovery from SAM. Children who had been breastfed at admission were 1.42 times (AHR: 1.42, 95% CI: 1.10, 1.83) more likely to have shorter recovery time as compared to the nonbreastfed at any time. Children with the absence of comorbidities at admission were 1.44 times (AHR: 1.44, 95% CI: 1.03, 2.00) more likely to have shorter recovery time than who had comorbidities at any time (Table 3).
Table 3.
Variables | Survival status | Crude hazard ratio (95% CI) | p value | Adjusted hazard ratio (95% CI) | p value | |
---|---|---|---|---|---|---|
Recovered | Censored | |||||
Age (n=406) | ||||||
1–24 months | 259 | 86 | 1.19 (0.87, 1.62) | 0.276 | ||
25–59 months | 47 | 14 | 1 | |||
| ||||||
Sex (n=406) | ||||||
Male | 198 | 31 | 1 | |||
Female | 108 | 69 | 1.08 (0.85, 1.36) | 0.549 | ||
| ||||||
Place of residence (n=406) | ||||||
Urban | 65 | 11 | 1.12 (0.85, 1.47) | 0.432 | ||
Rural | 241 | 89 | 1 | |||
| ||||||
Clinical diagnosis (n=406) | ||||||
Kwashiorkor | 45 | 15 | 1 | 1 | ||
Marasmus | 233 | 75 | 1.26 (0.91, 1.75) | 0.161 | 1.19 (0.86, 1.66) | 0.294 |
Both Mar-Kwas | 28 | 10 | 1.34 (0.83, 2.17) | 0.228 | 1.34 (0.83, 2.16) | 0.238 |
| ||||||
Admission status (n=406) | ||||||
New | 296 | 98 | 1 | |||
Repeat | 10 | 2 | 0.77 (0.41, 1.45) | 0.414 | ||
| ||||||
Season of admission (n=406) | ||||||
Summer | 106 | 11 | 1.02 (0.75, 1.38) | 0.913 | ||
Autumn | 82 | 10 | 1.11 (0.80, 1.53) | 0.545 | ||
Winter | 51 | 28 | 1.08 (0.75, 1.56) | 0.676 | ||
Spring | 67 | 51 | 1 | |||
| ||||||
Appetite test at admission (n=406) | ||||||
Pass | 129 | 42 | 1.05 (0.93, 1.17) | 0.439 | ||
Fail | 177 | 58 | 1 | |||
| ||||||
Breastfeeding status at admission (n=406) | ||||||
No | 87 | 33 | 1 | 1 | ||
Yes | 219 | 67 | 1.39 (1.08, 1.79)∗ | 0.010 | 1.42 (1.10, 1.83)∗ | 0.008 |
| ||||||
Had the child comorbidities (n=406) | ||||||
No | 45 | 6 | 1.18 (1.01, 1.38)∗ | 0.041 | 1.44 (1.03, 2.00)∗ | 0.031 |
Yes | 261 | 94 | 1 | 1 | ||
| ||||||
Type of diarrhea (n=406) | ||||||
Watery | 79 | 34 | 0.87 (0.59, 1.29) | 0.495 | ||
Dysentery | 37 | 14 | 1 | |||
| ||||||
Degree of dehydration (n=406) | ||||||
No dehydration | 73 | 25 | 1.11 (0.77, 1.56) | 0.558 | ||
Some dehydration | 40 | 21 | 0.96 (0.66, 1.39) | 0.813 | ||
Severe de | 3 | 2 | 1 | |||
| ||||||
Antibiotic given (n=406) | ||||||
No | 14 | 6 | 1 | |||
Yes | 292 | 94 | 0.86 (0.50, 1.47) | 0.579 | ||
| ||||||
Vitamin A given (n=406) | ||||||
No | 106 | 40 | 1 | |||
Yes | 200 | 60 | 1.16 (0.91, 1.47) | 0.223 | ||
| ||||||
Deworming given (n=406) | ||||||
No | 168 | 58 | 1 | |||
Yes | 138 | 42 | 0.99 (0.79, 1.25) | |||
| ||||||
Zinc tab given (n=406) | ||||||
No | 1 | |||||
Yes | 0.91 (0.72, 1.14) | 0.403 | ||||
| ||||||
Immunization status (n=406) | ||||||
Fully immunized | 224 | 70 | 1.08 (0.86, 1.34) | 0.518 | 1.82 (0.99, 3.32) | 0.053 |
Up to date | 70 | 23 | 1.20 (0.94, 1.55) | 0.151 | 1.86 (1.00, 3.50) | 0.052 |
Not yet immunized | 12 | 7 | 1 | 1 | ||
| ||||||
Paracetamol tab/syrup given (n=406) | ||||||
No | 108 | 35 | 1 | |||
Yes | 198 | 65 | 0.92 (0.72, 1.16) | 0.463 | ||
ReSoMal given (n=406) | ||||||
No | 267 | 82 | 1 | |||
Yes | 39 | 48 | 0.98 (0.70, 1.37) | 0.901 | ||
| ||||||
IV medication given (n=406) | ||||||
No | 156 | 49 | 0.94 (0.84, 1.06) | 0.314 | ||
Yes | 150 | 51 | 1 |
NB. ∗p value <0.05.
3.6. Life Table and Kaplan–Meier Analysis
The life table showed that cumulative probability of staying in the program was 92% at third day, 72% at sixth day, 47% at ninth day, 30% at twelfth day, and zero percent at 33 days of admission (Table 4).
Table 4.
Interval start time (days) | Number entering interval | Number exposed to risk | Number of terminal events | Proportion terminating | Proportion surviving | Cumulative proportion surviving at end of interval |
---|---|---|---|---|---|---|
0 | 306 | 306 | 5 | 0.02 | 0.98 | 0.98 |
3 | 301 | 301 | 21 | 0.07 | 0.93 | 0.92 |
6 | 280 | 280 | 60 | 0.21 | 0.79 | 0.72 |
9 | 220 | 220 | 76 | 0.35 | 0.65 | 0.47 |
12 | 144 | 144 | 53 | 0.36 | 0.63 | 0.30 |
15 | 91 | 91 | 50 | 0.55 | 0.45 | 0.14 |
18 | 41 | 41 | 28 | 0.68 | 0.32 | 0.04 |
21 | 13 | 13 | 6 | 0.46 | 0.54 | 0.02 |
24 | 7 | 7 | 2 | 0.29 | 0.71 | 0.02 |
27 | 5 | 5 | 1 | 0.20 | 0.80 | 0.01 |
30 | 4 | 4 | 2 | 0.50 | 0.50 | 0.01 |
33 | 2 | 2 | 2 | 1.00 | 0.00 | 0.00 |
The overall Kaplan–Meier curve (Figure 2) showed a step function and was used to estimate the survival function from lifetime data. Time to recovery of 286 children with breastfeeding and 120 children without breastfeeding was compared. The Kaplan–Meier (KM) survival curve for breastfeeding status at admission illustrated that the treatment recovery time of children with breastfeeding was better than that of children without breastfeeding at admission.
The significance of the observed differences of the Kaplan–Meier survival curves (times) among the two groups of children was assessed using log rank test. As a result, breastfeeding status of children was found to have statistically significant association (X2=7.995, p < 0.005) (Figure 3).
The time to recovery of 355 children with medical complications and 55 children without complications at admission was compared. The KM survival curve for children without complications at admission illustrated that the treatment outcome of children without complications was better than that of children with comorbidities status at admission. The significance of the observed differences of the KM survival curves (times) among the two groups of children was assessed using log rank test. As a result, children with no comorbidities were found to have statistically significant association (X2=4.923, p < 0.0271) (Figure 4).
4. Discussion
Among 414 eligible study subjects, 406 under-five children were considered in this study and eight were missed due to incomplete data. More than 75% of them were recovered from SAM, while the remaining were censored. The survival rate was 75.4%. The mean time-to-cure was 12 (±5.26) days, whereas the median time-to-cure was 11 (IQR: 8–15) days.
The mean (±SD) age of children with SAM was 17 (±11) months, which was consistent with similar studies conducted in developing countries [9, 19, 22]. Majority (85%) of admissions in ITFCs were between 1–24 months of age due to higher risk factors for malnutrition [19]. In the current study, survival (recovery) rate was 75.4%, defaulter was 10.3%, and death rates were 3.4%. Ethiopia is currently using a protocol for the management of severe acute malnutrition that is an update of existing guideline. As mentioned in this protocol, the minimum acceptable reference values which have been developed by Sphere project are >75% recovery, <15% defaulter, and <10% death rates [23]. Thus, our finding was within the acceptable range of this protocol. This is also consistent to other studies in the country [8, 10]. This might be due to proper use of clinical management protocols which is capable of reducing case fatality rates [19]. In this study, the clinical classifications of SAM reported as overall proportion of recovery were 76.1% with marasmus, 14.7% with kwashiorkor, and 9.2% with marasmic-kwashiorkor. This finding is in line with other studies conducted in north Ethiopia [24], whereas it is dissimilar with other study conducted outside the country [11]. It also contrasted with the national report [4]. This might be due to differences in feeding culture and socioeconomic status. This study indicated that the mean time taken to recover from SAM for both children diagnosed with edematous (12.5 days) and severe wasting (12.03 days) was almost similar. It was found to be contrasting with other findings in the country in which those children who were diagnosed with marasmus at admission stayed longer before recovery than their kwashiorkor counterparts [10].
This study revealed that the overall average length of stay in South Wollo Zone in ITFCs was 12.27 days (12.5 days for edematous and 12.03 days for severe wasting children). It is consistent with the minimum international standard set for management of severe acute malnutrition which is an average length of stay less than 30 days [23]. The mean and median time-to-cure from SAM for patients in the zone were 12 (±5.26) days and 11 days (IQR: 8–15 days) with minimum and maximum cure time of 1 and 33 days, respectively. A program is well functioning and considered acceptable if the length of stay in a hospital is less than 28 days. This implies that the program was acceptable as per the national standard [19]. This was consistent with another study conducted in the country [7]. Majority of the children recovered from SAM at first week were 86 (28%), at second week 265 (58.5%), and at third week 299 (11%). This was in line with findings of Jimma University Specialized Hospital [25].
Of the total study subjects, severe wasting (marasmus) was the most common one (75.9%) which was similar with other studies [11, 14, 26]. Fever, pneumonia, and diarrhea were the most common comorbidities. This was almost similar with another study conducted in Zambia University Teaching Hospital [27].
In final analysis model (Cox regression), breastfeeding status and absence of medical complication at admission were found to be independent predictors of shorter recovery time. Other covariates did not have an impact. Children with breastfeeding at admission had shorter recovery rate compared to their counterparts at any time. In KM analysis, the two survival curves were significantly different. It implied that breastfeeding may always be the preferred option in most contexts to increase recovery rate of children from severe acute malnutrition. This was in line with the national severe acute malnutrition guidelines [19, 23]. Even advice on breastfeeding for infants is a recommended treatment plan for uncomplicated SAM and moderate acute malnutrition [28]. It should also be offered to malnourished children before the diet and always on demand [19]. Children with the absence of comorbidities at admission had shorter recovery rate than who have comorbidities at any time [9]. Comorbidities may prolong the duration of stay in the ITFCs and may increase death rate [26]. This finding was in agreement with other studies conducted in Ethiopia and other developing countries [11, 13, 14, 29].
Since the study was based on secondary data, incomplete registration was observed in some anthropometric measurements at discharge, and even measurement errors had been introduced. Among treatment responses, “unknown cases” were categorized as “censored”, which may compromise the children's recovery rate from SAM. Thus, it may affect the findings through under or over reporting. Further prospective study is recommended to overcome these threats.
5. Conclusions
Our findings showed that the overall survival/recovery rate, death rate, and time to recovery from SAM were as per the international and national minimum standards set for SAM management. Children with breastfeeding status at admission had a shorter time of recovery from SAM. Children with medical complications at admission had a longer time of recovery from SAM. Therefore, enhancing breastfeeding for children up to at least two years of age and early detection of under-five children's morbidities are largely important to improve time of recovery from severe acute malnutrition. Additionally, in the community, breastfeeding promotion should also prevent SAM, and treatment of nonbreastfeeding children with SAM should include breastfeeding support for mothers and relactation where possible.
Acknowledgments
The authors thank the review committee of the Department of Public Health, College of Medicine and Health Sciences, Wollo University. Special thanks go to the South Wollo Zone and health facilities for providing data.
Abbreviations
- AHR:
Adjusted hazard ratio
- CI:
Confidence interval
- IQR:
Interquartile range
- ITFCs:
Inpatient therapeutic feeding centers
- KM:
Kaplan–Meier
- MUAC:
Mid upper arm circumference
- ReSoMal:
Rehydration solution for malnutrition
- SAM:
Severe acute malnutrition
- SD:
Standard deviation
- W/H:
Weight for height
- WHO:
World Health Organization.
Data Availability
The data used to produce this manuscript are available in Epi-Info version 7.2 and SPSS version 20 databases and the authors are prepared to share their data on request recognizing the benefits of such transparency.
Ethical Approval
Ethical approval was obtained from the Ethical Review Committee of College of Medicine and Health Sciences, Wollo University. The official letter for permission was written to South Wollo Zone Health Department. Cooperation letters were written to health facilities by South Wollo Zone Health Department. As the study was conducted through review of children's records, the individual patients were not subjected to any harm and personal identifiers were not used on data collection forms. Confidentiality was maintained.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Authors' Contributions
SL designed the study and developed the proposal, worked in data collection, performed analysis and interpretation of the results, and prepared the manuscript. AA assisted the design, approved the proposal, and revised the manuscript. TC supported the design, endorsed the proposal, and reviewed the manuscript. GG assisted and provided technical support on every step of the analysis and manuscript work. All authors read and approved the final manuscript.
References
- 1.United Nations Children’s Fund (UNICEF) Management of Severe Acute Malnutrition in Children: Working Towards Results at Scale. New York, NY, USA: United Nations Children’s Fund (UNICEF); 2015. [Google Scholar]
- 2.Hobbs B., Bush A., Shaikh B. Acute malnutrition: an everyday emergency. A 10-point plan for tackling acute malnutrition in under-fives. Journal of the Pakistan Medical Association (JPMA) 2014;63(4):S67–S72. [Google Scholar]
- 3.Ethiopian Ministry of Health. National Strategy for Child Survival in Ethiopia. Addis Ababa, Ethiopia: Federal Ministry of Health; 2005. [Google Scholar]
- 4.Central Statistical Agency. Ethiopia Mini Demographic and Health Survey 2014. Addis Ababa, Ethiopia: Central Statistical Agency; 2014. [Google Scholar]
- 5.World Health Organization. Community-Based Management of Severe Acute Malnutrition. Geneva, Switzerland: World Health Organization; 2007. [Google Scholar]
- 6.Berti A., Bregani E. R., Manenti F., Pizzi C. Outcome of severely malnourished children treated according to UNICEF 2004 guidelines: a one-year experience in a zone hospital in rural Ethiopia. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2008;102(9):939–944. doi: 10.1016/j.trstmh.2008.05.013. [DOI] [PubMed] [Google Scholar]
- 7.Banbeta A., Seyoum D., Belachew T., Birlie B., Getachew Y. Modeling time-to-cure from severe acute malnutrition: application of various parametric frailty models. Archives of Public Health. 2015;73(1):p. 6. doi: 10.1186/2049-3258-73-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Jarso H., Workicho A., Alemseged F. Survival status and predictors of mortality in severely malnourished children admitted to Jimma University Specialized Hospital from 2010 to 2012, Jimma, Ethiopia: a retrospective longitudinal study. BMC Pediatrics. 2015;15(1):p. 76. doi: 10.1186/s12887-015-0398-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gebremichael D. Y. Predictors of nutritional recovery time and survival status among children with severe acute malnutrition who have been managed in therapeutic feeding centers, Southern Ethiopia: retrospective cohort study. BMC Public Health. 2015;15(1):p. 1267. doi: 10.1186/s12889-015-2593-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Teferi E., Lera M., Sita S., Bogale Z., Datiko D. G., Yassin M. A. Treatment outcome of children with severe acute malnutrition admitted to therapeutic feeding centers in Southern Region of Ethiopia. Ethiopian Journal of Health Development. 2011;24(3) doi: 10.4314/ejhd.v24i3.68392. [DOI] [Google Scholar]
- 11.Ahmed A. U., Ahmed T. U., Uddin M. S., Chowdhury M. H. A., Rahman M. H., Hossain M. I. Outcome of standardized case management of under-5 children with severe acute malnutrition in three hospitals of Dhaka city in Bangladesh. Bangladesh Journal of Child Health. 2013;37(1):5–13. doi: 10.3329/bjch.v37i1.15345. [DOI] [Google Scholar]
- 12.Mody A., Bartz S., Hornik C. P., et al. Effects of HIV infection on the metabolic and hormonal status of children with severe acute malnutrition. PLoS One. 2014;9(7) doi: 10.1371/journal.pone.0102233.e102233 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Nyeko R., Calbi V., Ssegujja B. O., Ayot G. F. Treatment outcome among children under-five years hospitalized with severe acute malnutrition in St. Mary’s hospital Lacor, Northern Uganda. BMC Nutrition. 2016;2(1):p. 19. doi: 10.1186/s40795-016-0058-6. [DOI] [Google Scholar]
- 14.Abeje A., Gudayu T., Malefia Y., Befftu B. Analysis of hospital records on treatment outcome of severe acute malnutrition: the case of gondar university tertiary hospital. Pediatrics & Therapeutics. 2016;6(2) doi: 10.4172/2161-0665.1000283. [DOI] [Google Scholar]
- 15.Chane T., Oljira L., Atomesa G. E., Agedew E. Treatment outcome and associated factors among under-five children with severe acute malnutrition admitted to therapeutic feeding unit in woldia hospital, north Ethiopia. Journal of Nutrition & Food Sciences. 2014;4(6):p. 1. doi: 10.4172/2155-9600.1000329. [DOI] [Google Scholar]
- 16.Massa D., Woldemichael K., Tsehayneh B., Tesfay A. Treatment outcome of severe acute malnutrition and determinants of survival in Northern Ethiopia: a prospective cohort study. International Journal of Nutrition and Metabolism. 2016;8(3):12–23. doi: 10.5897/ijnam2015.0193. [DOI] [Google Scholar]
- 17.Mekonnen L., Abdussemed A., Abie M., Amuamuta A. Severity of malnutrition and treatment responses in under five children in bahir dar felegehiwot referal hospital, Northwest Ethiopia. Journal of Food and Nutrition Sciences. 2014;2(3):93–98. doi: 10.11648/j.jfns.20140203.18. [DOI] [Google Scholar]
- 18.Federal Democratic Republic of Ethiopia Population Census Commission. Summary and Statistical Report of the 2007 Population and Housing Census. Addis Ababa, Ethiopia: Federal Democratic Republic of Ethiopia Population Census Commission; 2008. [Google Scholar]
- 19.Ethiopian Ministry of Health. Protocol for the Management of Severe Acute Malnutrition. Addis Ababa, Ethiopia: Federal Ministry of Health; 2007. [Google Scholar]
- 20.World Health Organization, United Nations Children’s Fund. WHO Child Growth Standards and the Identification of Severe Acute Malnutrition in Infants and Children: A Joint Statement. New York, NY, USA: World Health Organization, United Nations Children’s Fund; 2009. [PubMed] [Google Scholar]
- 21.Golden M., Grellety Y. Guidelines for the Management of the Severely Malnourished. New York, NY, USA: ACF International; 2006. [Google Scholar]
- 22.Talbert A., Thuo N., Karisa J., et al. Diarrhoea complicating severe acute malnutrition in Kenyan children: a prospective descriptive study of risk factors and outcome. PLoS One. 2012;7(6) doi: 10.1371/journal.pone.0038321.e38321 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Golden M., Grellety Y. Guidelines for the Integrated Management of Severe Acute Malnutrition: In-and Out-Patient Treatment. New York, NY, USA: Nutrition and Health Department, ACF-International; 2011. [Google Scholar]
- 24.Desta K. A survival status and predictors of mortality among children aged 0-59 months with severe acute malnutrition admitted to stabilization center at Sekota Hospital Waghemra Zone. Journal of Nutritional Disorders & Therapy. 2015;5(160) doi: 10.4172/2161-0509.1000160. [DOI] [Google Scholar]
- 25.Kerac M., McGrath M., Grijalva-Eternod C., et al. Management of Acute Malnutrition in Infants (MAMI) Project. Technical Review: Current Evidence, Policies, Practices and Program Outcomes. London, UK: MAMI Project; 2011. [Google Scholar]
- 26.Ubesie A. C., Ibeziako N. S., Ndiokwelu C. I., Uzoka C. M., Nwafor C. A. Under-five protein energy malnutrition admitted at the University of in Nigeria teaching hospital, Enugu: a 10 year retrospective review. Nutrition Journal. 2012;11(1):p. 43. doi: 10.1186/1475-2891-11-43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Munthali T., Jacobs C., Sitali L., Dambe R., Michelo C. Mortality and morbidity patterns in under-five children with severe acute malnutrition (SAM) in Zambia: a five-year retrospective review of hospital-based records (2009–2013) Archives of Public Health. 2015;73(1):p. 23. doi: 10.1186/s13690-015-0072-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ministry of Health Ethiopia. Management of Acute Malnutrition: Blended Integrated Nutrition Learning Material. Addis Ababa, Ethiopia: Ministry of Health Ethiopia; 2010. [Google Scholar]
- 29.Yorra D., Sagar G. Survival status and determinants in treatment of children with severe acute malnutrition using outpatient therapeutic feeding program in sidama zone, South Ethiopia. IOSR Journal of Mathematics (IOSR-JM) 2016;12(3):86–100. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data used to produce this manuscript are available in Epi-Info version 7.2 and SPSS version 20 databases and the authors are prepared to share their data on request recognizing the benefits of such transparency.