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BMC Nutrition logoLink to BMC Nutrition
. 2017 Jul 25;3:66. doi: 10.1186/s40795-017-0186-7

Survival status and factors associated with treatment outcome of severely malnourished children admitted to Ayder referral hospital: a cross-sectional study

Mengistu Girma Tirore 1, Tesfay Mehari Atey 2, Haftay Berhane Mezgebe 2,
PMCID: PMC7050690  PMID: 32153846

Abstract

Background

Severe acute malnutrition remains the major cause of morbidity and mortality for children under five years of age in developing countries. The prevalence of wasting, underweight and stunting has remained high in Ethiopia and even unacceptably higher in Tigray region. The objective of the study is to assess the survival status and treatment outcome of patients with severe acute malnutrition and to identify contributing factors for poor treatment outcome.

Methods

An institutional-based cross-sectional study was conducted on 195 patients, selected using systematic random sampling technique, from 24-Mar-2015 to 7-Jun-2015 in Ayder Referral Hospital. Logistic regression was carried out to identify factors associated with treatment outcome. Rates of mortality associated with the disease were determined using Kaplan-Meier survival analysis. A Log Rank, Breslow, and Tarone-Ware test were employed for the overall comparisons of the survival curves. Statistical significance was declared at p – value <0.05.

Result

Out of 195 children admitted with SAM, the cure, death, defaulter, non-respondent and transferred-out rates were 22.1%, 3.6%, 43.6%, 9.2% and 21.5% respectively. Overall, 43.6% of the children were recovered from their disease. The mean length of stay of a ‘recovered’ child in the hospital was 21.56 ±1.27 days (95% CI: 19.04–24.09 days). Free from acute febrile illness (AOR = 4.20, 95% CI: 1.10–16.09, p < 0.036) and usage of deworming medications (AOR = 0.36, 95% CI: 0.14–0.93, p < 0.036) were significantly associated with positive and negative treatment outcomes respectively. Children with >70% of weight for height (WFH) and mid-upper arm circumference (MUAC) of >12 cm at admission had a better treatment outcome than children with WFH of ≤ 70% (p < 0.038) and MUAC of ≤ 12 cm (p < 0.090). Treatment using ready-to-used therapeutic food (RUTF) provided a longer all-cause mortality protection than the treatment using F-75 and F-100 (p < 0.010).

Conclusion

The cure rate in this study was found to be sub-optimal. Absence of acute febrile illness and deworming medication use were factors contributing to good treatment outcome. A WFH of >70%, MUAC of ≥ 12 cm and treatment using RUTF provided a longer all-cause mortality protection.

Keywords: Survival status, Treatment outcome, Severe acute malnutrition

Background

Although abundant food is available worldwide, the international Federation of Red Cross and Red Crescent Societies (IFRC) 2011 report claimed that every night one in six persons sleep without having food. Besides this, this report also proved that millions of young children agonize from the ominous effects of undernutrition [1].

Malnutrition remains to be a wide-reaching problem despite significant improvements in prevention and treatment of the disease. Many studies proved the dreadful impact of undernutrition on the life of children. On the global scale, approximately 9 million newborns untimely lose their life before reaching the age of five days, of which 30% of these premature deaths are attributable to undernutrition [2]. About 178 million and 55 million children under five years are also affected by stunting and wasting secondary to undernutrition respectively [3, 4].

The World Health Organization (WHO) and United Nations Children’s Emergency Fund (UNICEF) defined severe acute malnutrition (SAM) as a very low weight for height (WFH) less than (−) 3 standard deviations below the median reference population or WFH ratio of below 70%, visible severe wasting or presence of nutritional edema (pitting edema) or a mid-upper arm circumference (MUAC) less than 11 cm (cm) [5, 6]. SAM remains the top-killer disease for children under five years of age. This disease affects 20 million of these populations and is responsible for more than 1 million annual deaths worldwide [7, 8]. Furthermore, child with SAM has a ninefold more mortality rates than a well-nourished child. In developing countries, 20–30% and 50–60% case fatality rates of SAM are accounted to marasmus and kwashiorkor respectively [810].

As a developing country with an elongated history of food and dietetic insecurity, enormous percentage of the Ethiopian population has been affected by uninterrupted famines. The subsistence of children and women in Ethiopia are at a greater risk because of the tremendously high level of malnutrition even during the virtuous non-drought seasons. According to the Ethiopian Demographic Health Survey (DHS) report of 2011, the prevalence of wasting, underweight and stunting in Ethiopia was 10%, 29% and 44%, and in Tigray, 10.3%, 35.1% and 51.4% respectively [11].

In retort to the high malnourishment degree in Ethiopia, UNICEF, World Food Program (WFP), Ministry of Health (MOH) and Disaster Prevention and Preparedness Commission (DPPC)) launched Enhanced Outreach Strategy Program all over the country and this program has been operationalized in Tigray since 2005 [7]. Despite the launching of some programs to curtail the dire consequences of SAM, no studies related to survival experience and treatment outcome of SAM was not conducted in Ayder Referral Hospital (ARH). Assessment of the treatment outcome and survival experience of children with SAM, and identifying contributing factors for poor treatment outcomes are vital to the proper management of the disease.

Methods

An institutional-based cross-sectional study was conducted from 24-Mar-2015 to 7-Jun-2015 in ARH. All children with SAM admitted to ARH were considered as the source population whereas all children with SAM admitted to ARH during the study period were considered as the study population. Children with SAM who were admitted to the hospital during the study period, aged 6–59 months, and whose parents or care givers were willing to give informed consent were included in the study.

On average, 780 children with SAM were admitted to the hospital during the study period (statistics office of the ARH). The smaple size was calculated to be 195 considering 1.96 for the standard normal variable (Z-value) with 5% level of significance (α-value), 80% power of study (β-value), 95% confidence interval (CI), 5% margin of error, 0.87 prevalence [11] and 10% contingency. A sampling interval (k) was calculated to be four (k = 780/195 = 4). A systematic random sampling technique was employed to select samples from the study population.

Data collection tool was developed to collect patients’ demographic and clinical information, anthropometric measurements, treatment phases, types of therapeutic foods, types and numbers of prescribed medications and status of treatment outcome from the patient’s medical charts, treatment charts, and laboratory data reports. The data were collected by five trained data collectors (three nurses and two pharmacists). Moreover, the data collection tool was pre-tested in 5% of the sample size (i.e., 10 patients).

In this study, a child with SAM was considered to be “recovered” from the disease when the status of the treatment outcome was categorized either as “cured” and/or “transferred out” to other health institutions due to improvements in the health status of the patient. On the contrary, a child with SAM was operationally defined as “censored” when the patient’s clinical condition after the treatment was either recorded as “death”, “defaulters” and “non-respondent”.

The collected data were cleaned, coded and fed into Statistical Package for Social Sciences (SPSS) for Windows version 21 (SPSS Inc., Chicago, IL, USA). In order to summarize the patients’ socio-demographic and clinical characteristics, descriptive statistics such as frequency, percentage, mean and standard deviation were employed. The relationship between treatment outcome and independent variables was computed by logistic regression analysis. The survival analysis was carried out using Kaplan-Meier method. A Log Rank (Mantel-Cox), Breslow (Generalized Wilcoxon) and Tarone-Ware tests were employed for the overall comparisons of the survival curves. Factors were identified as statistically significant when p - value <0.05 at 95% confidence interval [CI].

Results

From a total of 195 children diagnosed with SAM, almost half (50.8%) of them were males and about three-fourth (67.2%) of the participants’ age was 13 to 59 months old. Additionally, the mean length of stay of a ‘censored’ child and a ‘recovered’ child in the hospital were 18.22 days (SE: ±1.44 days; 95% CI: 15.37 to 21.07 days) and 21.56 days (SE: ±1.27 days; 95% CI: 19.04 to 24.09 days) respectively (Fig. 1).

Fig. 1.

Fig. 1

Box-and-whisker plots of treatment outcome in relation to the length of stay for children with severe acute malnutrition in Ayder Referral Hospital, 2015, n = 195

In the present study, it was shown that increased number of censored patients was correlated with a shorter stay in the hospital unlike the longer the stay in the hospital, the greater number of cured patients (Fig. 2).

Fig. 2.

Fig. 2

Comparison of the number of cured and censored patients according to the length of admission of children with severe acute malnutrition in Ayder Referral Hospital, 2015, n = 195

The anthropometric conditions of children with SAM are summarized in Table 1. The percentage of children with MUAC of <11 cm almost halved from 60% at admission to 30.7% at discharge. Similarly, WFH measurement indicated that the number of children with WFH of 40–70% decreased significantly from 50% at admission to 29.7% at discharge. Severe edema (+++ edema) was also decreased significantly from 11.8% at admission to 1.0% at discharge. Hospital card record of the patients at admission also showed that over half of children with SAM had a MUAC of 6 to 10.9 cm (n = 117, 60%), WFH of 40–70% (n = 96, 50.0%) and no edema (n = 116, 59.5%) (Table 1).

Table 1.

Anthropometric measurements and edematous conditions of children with severe acute malnutrition at admission and discharge in Ayder Referral Hospital, 2015, n = 195

Anthropometry At admission, N (%) At discharge, N (%)
MUAC (Mid Upper Arm Circumstance)
> 12 cm 5 (2.6) 5 (2.8)
11–12 cm 73 (37.4) 119 (66.5)
< 11 cm 117 (60.0) 55 (30.7)
WFH (Weight for Height)
≥ 85% 9 (4.7) 9 (5.1)
80–84% 19 (9.9) 55 (31.4)
71–79% 68 (35.4) 59 (33.7)
≤ 70% 96 (50.0) 52 (29.7)
Edema
No edema 116 (59.5) 181 (92.8)
(+) edema 27 (13.8) 8 (4.1)
(++) edema 29 (14.9) 4 (2.1)
(+++) edema 23 (11.8) 2 (1.0)

Regarding medical complications of the SAM, about one-third (67.2%) of the study participants had diarrhea as a complication of SAM followed by dehydration (44.6%) and anemia (43.1%) (Fig. 3).

Fig. 3.

Fig. 3

Profile of complications of severe acute malnutrition among children attending Ayder Referral Hospital, 2015, n = 195

Treatment phases, therapeutic feeding and routine medications

Majority of the patients were given F-75 (92.8%), F-100 (62.0%), RUTF (58.4%) in the phase 1, transition phase and phase 2 respectively. The most common types of prescribed medications were antibiotics which accounted for 97.4% of the medications followed by folic acid and vitamin A that accounted for 64.1% and 51.8% respectively (Table 2).

Table 2.

Profiles for phases of treatment, types of therapeutic feeding and types of routine medications for children with severe acute malnutrition admitted to Ayder Referral Hospital, 2015, n = 195

Variables N (%)
Treatment phase
Phase 1 (n = 193) F75 181 (92.8)
F100 12 (6.2)
Transition phase (n = 150) F75 47 (31.3)
F100 93 (62.0)
RUTF 10 (6.7)
Phase 2 (n = 101) F100 42 (41.6)
RUTF 59 (58.4)
Medications
Antibiotic Yes 190 (97.4)
No 5 (2.6)
Vitamin A Yes 101 (51.8)
No 94 (48.2)
Folic acid Yes 125 (64.1)
No 70 (35.9)
Zinc Yes 18 (9.2)
No 177 (90.8)
Deworming medications Yes 26 (13.3)
No 169 (86.7)
ReSoMal Yes 96 (49.2)
No 99 (50.8)

Abbreviations: ReSoMal Rehydration solution for malnutrition, RUTF Ready to use therapeutic food

Treatment outcome and associated factors

Regarding the overall status of treatment outcome of children with SAM, 43.6% (n = 85) of the patients were recovered from their disease compared to 56.4% (n = 110) of the patients whose treatment was censored. In addition to this, 22.1%, 3.6%, 43.6%, 9.2% and 21.5% of the patients were cured, died, defaulting their treatment, non-respondent to their treatment and transferred out to a nearby health centres for continuation of their management respectively (Table 3 and Fig. 4).

Table 3.

Components of treatment outcome for children with severe acute malnutrition admitted to Ayder Referral Hospital, 2015, n = 195

Treatment outcome N (%)
Recovered
Cured 43 (22.1%)
Transferred-out 42 (21.5%)
Total 85 (43.6%)
Censored
Defaulter 85 (43.6%)
Non-respondent 18 (9.2%)
Died 7 (3.6%)
Total 110 (56.4%)

Fig. 4.

Fig. 4

Overall status of treatment outcome for children with severe acute malnutrition admitted to Ayder Referral Hospital, 2015, n = 195

The results of multivariate analyses showed that two factors were found to be significantly associated with treatment outcome after incorporating variables which were significant at p < 0.2 in the univariate analysis into the multivariate analyses. Accordingly, the odds of being recovered from SAM for patients without a complication of acute febrile illness were almost fourth-fold (AOR = 4.20, 95% CI: 1.10–16.09, p < 0.036) more compared to patients with this complication. In contrary, patients who were not routinely using deworming medications were having 64% (AOR = 0.36, 95% CI: 0.14–0.93, p < 0.036) lower odds of recovering from SAM compared to patients who were routinely using deworming medications (Table 4).

Table 4.

Results of univariate and multivariate logistic regression analysis for factors affecting treatment outcome of children with severe acute malnutrition admitted to Ayder Referral Hospital, 2015, n = 195

Variable Treatment Outcome p – value COR p – value AOR
Censored, n (%) Recovered, n (%)
Admission status
Referred 66 (59.5) 45 (40.5) 1.00 1.00
New admission 41 (55.4) 33 (44.6) 0.584 1.18 (0.65–2.14) 0.808 1.08 (0.56–2.13)
Re admission 3 (30.0) 7 (70.0) 0.086 3.42 (0.84–13.94) 0.078 4.04 (0.86–19.03)
WFH classification
> 85% 2 (22.2) 7 (77.8) 1.00 1.00
80–84% 7 (36.8) 12 (63.2) 0.444 0.49 (0.08–3.05) 0.721 0.69 (0.09–5.25)
71–79% 39 (57.4) 29 (42.6) 0.065 0.21 (0.04–1.11) 0.277 0.35 (0.05–2.32)
< 70% 60 (62.5) 36 (37.5) 0.033 0.17 (0.03–0.87) 0.175 0.27 (0.04–1.78)
MUAC classifications
> 12 cm 1 (20.0) 4 (80.0) 1.00 1.00
11–12 cm 37 (50.7) 36 (49.3) 0.216 0.24 (0.03–2.28) 0.915 0.87 (0.07–11.16)
< 11 cm 72 (61.5) 45 (38.5) 0.102 0.16 (0.02–1.44) 0.611 0.52 (0.04–6.68)
Presence of complication of tuberculosis
Yes 16 (72.7) 6 (27.3) 1.00 1.00
No 94 (54.3) 79 (45.7) 0.108 2.24 (0.84–6.00) 0.172 2.14 (0.72–6.35)
Presence of complication of acute febrile illness
Yes 14 (82.4) 3 (17.6) 1.00 1.00
No 96 (53.9) 82 (46.1) 0.034 3.97 (1.12–14.36) 0.036 4.20 (1.10–16.09) *
Presence of complication of retroviral infection
Yes 7 (87.5) 1 (12.5) 1.00 1.00
No 103 (55.1) 84 (44.9) 0.106 5.71 (0.69–47.32) 0.149 4.90 (0.56–42.47)
Usage of routine deworming medications
Yes 11 (42.3) 15 (57.7) 1.00 1.00
No 99 (58.6) 70 (41.4) 0.124 0.52 (0.23–1.20) 0.036 0.36 (0.14–0.93) *

AOR adjusted odds ratio, COR crude odds ratio, MUAC middle upper arm circumference, WFH weight for height

*Statistically significant at p < 0.05

Mortality rates and survival analyses

The KM survival curve for WFH at admission illustrated that children with >70% of WFH at admission had a better treatment outcome than children with WFH of ≤ 70% at admission (p < 0.038). The test of equality of survival distributions for the different levels of WFH showed Chi-Square results of 7.68, 8.45 and 7.92 for the Log Rank (Mantel-Cox) (p < 0.053), Breslow (Generalized Wilcoxon) (p < 0.038) and Tarone-Ware (p < 0.048) respectively (Fig. 5).

Fig. 5.

Fig. 5

Kaplan-Meier survival curve of treatment outcome for children with severe acute malnutrition by weight for height at admission in Ayder Referral Hospital, 2015, n = 195

The KM survival curve for MUAC at admission in relation to time to event illustrated that those children with MUAC value of >12 cm at admission had better treatment outcome compared to those who had MUAC of ≤ 12 cm at admission (p < 0.090). The test of equality of survival distributions for the different levels of MUAC at admission showed Chi-Square results of 7.17, 9.27 and 8.77 for the Log Rank (Mantel-Cox) (p < 0.028), Breslow (Generalized Wilcoxon) (p < 0.010) and Tarone-Ware (p < 0.012) respectively (Fig. 6).

Fig. 6.

Fig. 6

Kaplan-Meier survival curve of treatment outcome for children with severe acute malnutrition by mid upper arm circumference at admission in Ayder Referral Hospital, 2015, n = 2015

A comparison of survival curves for the types of therapeutic foods in the transition phase also revealed that treatment using RUTF provided a longer all-cause mortality protection than the treatment using F-75 and F-100 (p < 0.010). The test of equality of survival distributions for the different levels of therapeutic foods at transition phase showed Chi-Square results of 4.81, 2.99 and 3.94 for the Log Rank (Mantel-Cox) (p < 0.028), Breslow (Generalized Wilcoxon) (p < 0.010) and Tarone-Ware (p < 0.012) respectively.

Discussions

In this study, the average length of hospital stay was found to be 19.68 ± 13.8 days which was lower than reports from studies conducted in other African countries (a length of stay varying from 28 to 35 days). This finding indicated that the average length of stay in this setting was relatively shorter than reports from 13 African countries [12]. This could be attributable to differences in the health institution setting where the study setting was referral hospital and supposed to transfer-out recovered patients towards nearby health institutions. Moreover, the current study showed that antibiotics were the most commonly prescribed medications which was in line with other studies that indicated the inclusion of antibiotics for children with SAM [13]. These patients are at risk of severe infections and hence antibiotics could be prescribed customarily as part of their nutritional therapy.

The cure rate, death rate, defaulting rate, non-respondent rate and transferred out rate was found to be 22.1%, 3.6%, 43.6%, 9.2% and 21.5% respectively. These results are not in line with a study conducted in Southern Ethiopia that revealed87% cure rate, 3.6% death rate, 9.1% defaulting rate and 0.3% non-respondent rate [13]. Therefore, cure rate in the present study was lower, defaulter and non-respondent rate were higher compared to the aforementioned finding. Despite there is no clear justification of these discrepancies, appropriate utilization of the protocol for management of SAM can maximize the cure rate and minimize unwanted outcomes of treatment.

The cure rate, unlike the death rate, was found to be less than the standard criteria as per the SAM management protocol [14]. According to this standard, the death rate is acceptable but the cure rate is not acceptable that could be attributable to the relatively longer admission period (approximately 20 days), low nutritional value of the commonly ingested foods, and economic constraints of the community. This finding was congruent with a study done in Gondor University (Ethiopia) [15]. Another study conducted in Tigray(Ethiopia) also demonstrated that lack of complementary foods was important predictor of a child undernutrition and chronic malnutrition was a public health problem in the study community [16].

The results of multivariate analyses depicted that complication of acute febrile illness and usage of deworming medications were significantly associated with poor and good treatment outcomes respectively. Children without the complication of acute febrile illness were more likely to recover from SAM compared to children with this complication. Patients with acute febrile illness would further compound the disease and complicate the SAM. This, in turn, could negatively affect the treatment outcome. In contrary, patients who were not using deworming medications, as part of their management modality, were less likely to recover from SAM compared to patients who were using these medications. The use of deworming medications could reduce gastrointestinal related infections which, in turn, maintain the integrity of the gastrointestinal tract and hasten absorption of nutrients and thereby recovery from SAM disease.

The KM survival analyses and mortality rates of SAM showed that having WFH of >70% and MUAC of ≥ 12 cm at admission were important predictors of better treatment outcome. This finding corresponded with studies done in Northern and Southern Ethiopia [17, 18]. These measurements help identify children who may be wasted or severely wasted. This wasting is usually caused by a recent illness or food shortage that causes acute and severe weight loss [19]. Another finding revealed in this study was that treatment using RUTF provided a longer all-cause mortality protection than treatment using F-75 and F-100. This might be attributable to the faster recovery rate associated with RUTF and higher acceptability of RUTF than F-75 and F-100 [20].

The study had certain limitations. Factors associated with treatment outcome could have been preponderantly identified using a longitudinal research designs than the cross-sectional nature of the present study. The study was also conducted in a single centre which could limit the generalizability of the findings to a broader milieu.

Conclusions

In general, the cure rate for children with SAM in the tertiary referral hospital was found to be sub-optimal. Deworming medications use was significantly associated with good treatment outcome unlike the association of poor treatment outcome with the presence of acute febrile illness. Having WFH of >70% and MUAC of ≥ 12 cm at the admission were important predictors of better treatment outcome and treatment using RUTF provided a longer all-cause mortality protection than F-75 and F-100. Consequently, due emphasis should be given in improving early detection and treatment of severely malnourished children.

Acknowledgements

The authors would like to acknowledge all participants of the study and management bodies of College of Health Sciences, Mekelle University.

Funding

The study was not supported by any funding agent.

Availability of data and materials

The datasets supporting the conclusions of the study are included in the article. Any additional data will be available on request. ​.

Consent to publish

Not applicable.

Abbreviations

AOR

adjusted odds ratio

CI

confidence interval

Cm

centimetre

COR

crude odds ratio

CSA

Central Statistics Authority

DHS

Demographic Health Survey

DPPC

Disaster Prevention and Preparedness Commission

MUAC

middle upper arm circumference

SAM

severe acute malnutrition

UNICEF

United Nations Children’s Emergency Fund

WFH

weight for height

WHO

World Health Organizations.

Authors’ contributions

MG involved in the conception and design of the study, developed data collection tools, supervised data collection, analysed data and involved in manuscript writing and editing. TM involved in the design of the study, reviewed methodology, analysed data, wrote the manuscript, and involved in the editing of the manuscript. HB participated in the study design, supervised the development of study instruments, reviewed data analysis and involved in manuscript writing and editing. All authors read and approved the final manuscript.

Ethics approval and consent to participate

The study was undertaken after obtaining ethical clearance from College of Health Sciences’ Ethical Review Committee. An official letter was requested and obtained from medical director office of Ayder Referral Hospital. The importance of the study, data collection process, confidentiality and the ethical issue was briefly described for parents of the study participants before data collection, and verbal consent was obtained from parents of each child patient. The study was conducted in accordance with the principals of the Declaration of Helsinki.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.International Federation of Red Cross and Red Crescent Societies (IFRC). World disasters report 2011. In: Focus on hunger and malnutrition. Geneva: IFRC; 2011. www.ifrc.org/en/publications-and-reports/world-disasters-report/wdr2011/.
  • 2.Black RE, Lindsay H, Allen LH, Bhutta ZA, Laura EC, Mercedes DO, Majid E, Colin M, Juan R. Maternal and child under-nutrition: global and regional exposures and health consequences. Lancet. 2008;371:243–260. doi: 10.1016/S0140-6736(07)61690-0. [DOI] [PubMed] [Google Scholar]
  • 3.Department of International Development (DFID) The neglected crisis of under-nutrition: DFID’s strategy. London: DFID; 2010. [Google Scholar]
  • 4.Bhutta ZA, Ahmed T, Black RE, Cousens S, Dewey K, Giugliani E, et al. What works? Interventions for maternal and child undernutrition and survival. Lancet. 2008;371:417–440. doi: 10.1016/S0140-6736(07)61693-6. [DOI] [PubMed] [Google Scholar]
  • 5.World Health Organization (WHO) and the United Nations Children’s Fund (UNICEF) WHO child growth standard and identification of severe acute malnutrition in infants and children. Geneva: WHO/UNICEF; 2009. [PubMed] [Google Scholar]
  • 6.Myatt M, Khara T, Collins S. A review of methods to detect causes of severely malnourished children in the community for their admission in to community based therapeutic care programs. Food Nutr Bull. 2006;27:7–23. doi: 10.1177/15648265060273S302. [DOI] [PubMed] [Google Scholar]
  • 7.World Health Organization, World Food Programme, the United Nations System Standing Committee on Nutrition, and the United Nations Children's Fund . Community-based management of severe acute malnutrition. Geneva: World Health Organization; 2007. [Google Scholar]
  • 8.Bhan MK, Bhandari N, Bah R. Management of severely malnourished child: perspective from developing countries. BMJ. 2003;326:146–151. doi: 10.1136/bmj.326.7381.146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Ahmed T, Ali M, Ullah MM, Choudhury IA, Haque ME, Salam MA, et al. Mortality in severely malnourished children with diarrhoea and use of a standardised management protocol. Lancet. 1999;353:1919–1922. doi: 10.1016/S0140-6736(98)07499-6. [DOI] [PubMed] [Google Scholar]
  • 10.Schofield C, Ashworth A. Why have mortality rates for severe malnutrition remained so high? Bull World Health Organ. 1996;74:223–229. [PMC free article] [PubMed] [Google Scholar]
  • 11.Central Statistical Agency [Ethiopia] and ORC Macro . Ethiopia demographic and health survey 2005. Addis Ababa, Ethiopia and Calverton, Maryland, USA: Central Statistical Agency and ORC Macro; 2006. [Google Scholar]
  • 12.Grellety Y. Management of severe acute malnutrition in Africa: University of Aberdeen, Department of Medicine and Therapeutics, UK; 2000.
  • 13.Teferi E, Lera M, Sita S, Bogale Z, Datiko DG, Yassin MA. Treatment outcome of children with severe acute malnutrition admitted to therapeutic feeding centres in southern region of Ethiopia. Ethiop J Health Dev. 2010;24:234–238. [Google Scholar]
  • 14.Federal Ministry of Health of Ethiopia (FMOH) Protocol for the management of severe acute malnutrition. Addis Ababa: FMOH; 2007. [Google Scholar]
  • 15.Amsalu S, Tigabu Z. Risk factors for severe acute malnutrition in children under the age of five: a case-control study. Ethiop J Health Dev. 2008;22:21–25. doi: 10.4314/ejhd.v22i1.10058. [DOI] [Google Scholar]
  • 16.Mulugeta A, Hagos F, Kruseman G, Linderhof V, Stoecker B, Abraha Z. Child malnutrition in Tigray. Northern Ethiopia EAMJ. 2010;87:248–254. doi: 10.4314/eamj.v87i6.63083. [DOI] [PubMed] [Google Scholar]
  • 17.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. IJNAM. 2016;8:12–23. [Google Scholar]
  • 18.Gebremichael DY. Predictors of nutritional recovery time and survival status among children with severe acute malnutrition who have been managed in therapeutic feeding centres. Southern Ethiopia: retrospective cohort study BMC Public Health. 2015;15:1267. doi: 10.1186/s12889-015-2593-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.World Health Organization (WHO) WHO child growth standards: training course on child growth assessment. Interpreting growth indicators. Geneva: WHO press; 2008. pp. 7–8. [Google Scholar]
  • 20.The Mother and Child Health and Education Trust . Management of Malnutrition in children under five years. Ready-to-use therapeutic food (RUTF) Kowloon: The Mother and Child Health and Education Trust; 2016. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets supporting the conclusions of the study are included in the article. Any additional data will be available on request. ​.


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