DOI: https://doi.org/10.21203/rs.2.13854/v1
Background Globally, in 2015, malnutrition contributes to 45% of all child deaths. These early child deaths are due to conditions that could be prevented or treated with access to simple and affordable interventions. Hence, this study intends to provide a quantitative summary of treatment outcomes and to identify factors associated with undesirable treatment outcomes of severe acute malnutrition (SAM) admitted to Yekatit 12 hospital from the year 2013 to 2016.
Methods A retrospective cohort of 304 children aged 6-59 months old with complicated SAM admitted to Yekatit 12 teaching hospital from 2013- 2016 were studied. Data on nutritional status, socio-demographic factors and admission medical condition were extracted. Data were analyzed using SPSS version 20. Kaplan-Meier was employed to estimate the recovery rates of the children treated for SAM and Cox regression was used to control for confounding.
Result From overall (n = 304) under-five children with SAM, 133 (51.4%) were males and 126 were (48.6%) females. Marasmus was the most common type of severe acute malnutrition 132(51%). The recovery, death and defaulter rate were 70.4%, 12.2% and 8.2% respectively. The main predictors of undesirable outcome were HIV antibody positive children (AHR=3.208; 95% CI: [1.045-9.846]) and sepsis (AHR= 7.677, 95% CI: [2.320-25.404])
Conclusion The study revealed that the overall treatment outcomes were below the SPHERE standard recommendation and the main predictors of death in children receiving in-patient treatment for SAM were HIV and sepsis. Intervention to reduce death should focus on institutional care.
The United Nations’ first Millennium Development Goal to “eradicate extreme poverty and hunger” is measured by assessing a set of indicators such as the prevalence of underweight children under the age of five (1).This criterion in turn implies the nutrition condition of these groups as under-nourished or as commonly referred to as malnourished. The extreme case of malnutrition typically in children under the age of 5 years is referred to as Severe Acute Malnutrition (SAM). The WHO defines SAM based on three major indicators, low weight for height/length ratio (WFH), presence of nutritional edema and an upper arm circumference (MUAC) of less than 115mm (2,3).The WHO guidelines for treatment of complicated SAM, suggests the establishment of therapeutic feeding programs (TFP) for the treatment and rehabilitation of severely malnourished individuals in order to reduce the mortality rate as a result of SAM.
Worldwide, in 2015 alone, 5.9 million Children under the age of 5 died - malnutrition being the contributing factor in about 45% of all child deaths. Children in Sub-Saharan Africa are more than 14 times likely to die before the age of 5 than children in developed regions (4). It is often the case that children with severe acute malnutrition have a higher risk of death from common childhood illnesses such as diarrhea, pneumonia and malaria. These early child deaths are due to conditions that could be prevented or treated with access to simple and affordable interventions.(4–6)
The United Nations Sustainable Development Goals (SDGs) adopted in 2015 was set out with an aim to ensure and promote improved children health conditions. The SDG goal 2.2 concentrates on ending all forms of malnutrition as it is the dominant cause of death among under–5 children (3). Ethiopia is one of the countries with higher under five child mortality rate, even though the under-five mortality rate has been significantly reduced it is still unacceptably high (7). In children younger than five years of age, according to the Ethiopian Mini Demographic and Health Survey report 2014, 40% are stunted, 19% severely stunted, 9% wasted, 3% severely wasted 25% underweight and 7% severely underweight (8).
The minimum international standard set for management of SAM is a cure rate of at least 75% and death rate less than 10% (9). However the case fatality rates in hospitals treating SAM in developing countries have remained high (10,11). There has been numerous factors attributed to high case fatality in children admitted to inpatient treatment units (12,13). Hypoglycemia, infection, anemia, dehydration, hypothermia, electrolyte imbalance, HIV and TB infection,age and sex are among the factors assumed to affect high fatality rate of children with severe acute malnutrition (13)
In the case of SAM with medical complications, factors and variables that affect treatment outcomes need to be considered and this requires further clinical insight and analysis. The intent of this study is to investigate determinant factors associated with the treatment outcomes of hospitalized severely malnourished children under the inpatient management scheme of SAM with medical complications.
A retrospective cohort study was conducted at Yekatit 12 hospital medical college Addis Ababa. It is one of few hospitals with an established nutrition therapy unit. Children affected by SAM go through initial screening in regular OPD or emergency unit, depending on the initial assessments and after cross checking their condition against admission criteria, they will be admitted to the nutritional rehabilitation center, where they receive appropriate treatment and follow up.
The Hospital uses a standardized national management protocol of severe acute malnutrition. According to the protocol, all SAM cases with co-morbidities and poor appetite shall be admitted in the SAM inpatient management section. Whereas those diagnosed for SAM without co-morbidities and with good appetite will be linked to the outpatient management section. After completing the inpatient management, those who satisfy the discharge criteria will be directed to community based feeding program for further follow up (14).
The study population was all 6–59 months old SAM affected children admitted at Yekatit 12 hospital inpatient unit from 2013 to 2016. The following inclusion and exclusion criteria have been adopted accordingly.
Inclusion criteria: Since at the time of the study Ethiopia didn’t adopt the latest cut of points, all the criteria are used from the 2007 Ethiopian National Guideline for Management of SAM. Children within the age range of 6 months to 5 years that fulfill the admission criteria were included in the study all children that satisfy one of the following criteria, weight-for-height/length ratio < 70% of median or less than—3Z- score, MUAC < 110 mm with Length >65cm, Presence of bilateral pitting edema with complications or a fail in the appetite test (14)
The sample size was calculated using EPI info version 7.2.0.1 for a cohort study design. Based on other related studies conducted in a similar context, variables which are significantly associated with undesirable treatment outcomes were identified and were used to calculate the sample size. The computation was conducted based on the following assumptions; 95% confidence level with 80% power and an allocation ratio of 1:1 as unexposed to exposed ratio. Based on these assumptions, the computed optimal sample size (taking the largest) was 152 for each group (Table 1).
The study variables were categorized as dependent and independent variables. The reason in doing so was to assess which independent variables significantly affect the magnitude of the dependent variable.
The dependent variable was undesirable outcome which includes death, non-respondent and failure to respond. On the other hand, socio-demographic and admission characteristics, anthropometry, type of malnutrition, comorbidities, vaccination and breast-feeding status were considered as independent variables.
For a child admitted with SAM, the management procedure consists of 3 phases (phase1, transition and phase 2). Based on the national management protocol for SAM in Ethiopia, children were treated with interventions such as nutrition rehabilitation, complete medical surveillance, treating of complications and administration of on routine medicines (like vitamin A, folic acid, antibiotics…).
If a child either failed to regain appetite, lose edema by day 4 after admission, gain more than 5g/kg/d by day 10 after admission or failed to gain more than 5g/kg/d for 3 successive days during phase 2 while being on treatment, he/she was termed as failure to respond. And those that had not reached the discharge criteria after 40 days in the inpatient unit were defined as Non-responder.
Patients who were discharged after reaching the discharge criteria (weight for height/length > 85% of median on more than one occasion or no edema for 10 days and a target weight gain reached for two consecutive measurements or visits if the child is admitted with MUAC) were considered as cured. Whereas those who discontinued treatment or disappeared from nutritional rehabilitation ward before completing treatment were defined as dropouts. Patients whose treatment results are unknown due to transfer to another health facility were defined as transfer outs. And those patients who died from any cause during the course of treatment were defined as dead.
In this study, undesirable outcomes were considered to be: death, non-responder and failure to respond (drop out and transfer outs were excluded in this study because their outcomes couldn’t be traced).
Shock is defined as, if there is definite dehydration (a history of fluid loss, a change in the appearance of the eyes) and the patient has all of the following: Semi-conscious or unconscious, rapid weak pulse and cold hands and feet. And septic shock if there are the signs of hypovolemic shock plus a fast-weak pulse with: cold peripheries, disturbed consciousness and absence of signs of heart failure.
Anemia -if the hemoglobin concentration is less than 40g/l or the packed –cell volume is less than 12% in the first 24 hours after admission.
Pneumonia if there is fever >39°C, fast breathing and if there is any chest indrawing HIV antibody test is used to see the presence of antibody
Inpatient register book which contained the admission and discharge information was reviewed. Children with the assessment of SAM were selected within our study time frame. Then, using patient card number, each patient record was examined based on the inclusion and exclusion criteria. Those patient records which were complete and that fulfilled the inclusion criteria were selected. Using checklist which was adapted from world health organization standardized manual, data were extracted by principal investigator. The checklist was prepared by English plus pre-testing of the checklist for its completeness and clarity was done before the actual data collection take place and modification was done accordingly.
After completing data collection, the checklist was checked whether they were properly filled, if there was a missing variable and errors or inconsistencies are identified from the filled checklist. If some errors or inconsistencies were identified from the checklist using the patients’ card number necessary correction was made.
Following the completion of data collection, the data were categorized and coded. Then, the collected data were entered into a computer using EPI-Info software program. The data entry and cleaning were done using EPI-Info 7.1.3.10 version which was later on exported to SPSS version 20.0 statistical software packages for analysis.
In this study, the dependent variable was undesirable outcome (which incorporates the variables, death, non-responder and failure to respond). Children with undesirable outcome were considered as event and all other outcomes were censored. Finally, the outcome of each subject was dichotomized into censored or undesirable outcome.
Descriptive statistics was used to summarize and describe the data. Regarding survival analysis, Life table analysis was used to estimate the cumulative proportion of survival among children with SAM at different time point. Kaplan Meier survival curve together with log-rank test was fitted to test for the presence of difference in undesirable outcome among groups; the time variable was assumed to be the time to the occurrence of undesirable outcome measured from admission to date of an event. Variables at P-value of <0.25 in the bivariate analysis were included in the final Cox regression analysis to identify the independent predictors of undesirable outcome. In addition, Crude and adjusted hazard ratio with their 95% Confidence Interval (CI) were estimated and summarized. The study result was also compared with the minimum standard presented by the “Sphere” project.
Ethical clearance and approval were obtained from Institutional Review Board of Addis Continental Institute of Public Health and Yekatit 12 hospital for retrieving patients’ medical cards. The study is a retrospective chart review and uses secondary data sources, therefore there was no direct contact with patients and the data were used anonymously by using unique identity numbers instead of names in order to protect patient privacy.
A total of 677 children with SAM were admitted at Yekatit 12 hospital from 2013–2016, 373 were excluded from the study and 304 were eligible for the study. From the eligible cases, 25 were dropouts and 20 were transferred out to other institutions; both were excluded from the analysis because their outcomes couldn’t be traced therefore, the number of the study subjects in the study is 259. (Fig.1).
Figure 1: Schematic representing the sampling procedure of the study. The chart shows the process of how study subjects were selected. Undesirable outcome includes death, non-respondent and failure to respond
From the 259 subjects studied, 133(51.4%) were males, and 214(82.6%) were aged below 24 months with the median age of 17.5(interquartile range: 12–24) months. Majority of the study population (80.7%) belong to family size of less than 3 children.
With regards to the nutritional status of the children, 206 (79.5%) had a WFH ≥ 70 % of median, and 160(61.8%) had MUAC of <11cm and 132(51%) children in the study had marasmus (Table 2).
More than half (55.5%) of children had diarrhea and a significant proportion of children (39.6%) had pneumonia at the time of admission. Anemia, Sepsis, skin lesion (dermatitis of kwashiorkor), Tuberculosis and shock were prevalent in 67(29.5%), 19(8.4%), 20(8.8%), 18(7.9%) and 7(3.1%) children respectively. HIV test was also carried out for 190(73.4%) children of which, 11(5.8%) were tested to be positive (Table 3).
During the study period, 214(70.4%) children were cured and linked to outpatient therapy. On the other hand, 37 (12.2%) had died during treatment, of whom 64.9% had occurred in the first 7 days of admission, 25(8.2%) had defaulted/dropped out, 8(2.6%) of the cases were non-respondent, 20(6.6%) had required medical transfer The average (± SD) length of stay in the hospital was 16 days (±10.7), and the average weight gain was 8.13g/kg/day for non-edematous malnutrition (Table 4).
A total of 304 children were followed for different periods with a minimum of 1 day and a maximum of 63 days with a median follow-up period of 14 days (Fig.2). The median nutritional recovery time of the entire cohort using Kaplan Meier survival analysis is 17 days (95 % CI: 15.615–18.385). The greatest number and proportion of terminal events occur for the first 7 days (Table 5).
Figure 2: Kaplan –Meier Survival estimate among children with SAM admitted to Yekatit 12 hospital, 2013–2016
Bivariate analysis
Using Cox regression, bivariate analysis was performed for the independent variables. In the bivariate analysis, a significant difference was observed between potential predictors; WT/HT or L <70% of median, pneumonia, sepsis, shock and HIV antibody positive children were associated with undesirable outcome (Table 6).
Multivariate Cox regression
HIV antibody positive children and children with Sepsis were found to be independent predictors of undesirable outcome in severely malnourished children admitted to Yekatit 12 hospital. However, WT/HT or L <70% of median, pneumonia shock was not independent predictor of undesirable outcome (Table 6).
This study was conducted on 304 severely malnourished children 6–59 months old with complicated SAM admitted to Yekatit 12 teaching hospital from 2013- 2016 and it shows that the cure, death and defaulter rate was 70.4%,12.2% and 8.2% respectively also the rate of weight gain was 8.13g/kg/day and 16 days was the average length of hospital stay. The median nutritional recovery time of the entire cohort was found out to be 17 days (95 % CI: 15.615–18.385). The greatest number and proportion of terminal events occur within the first 7 days. Sepsis and HIV antibody positive cases were also found out to be independent predictors of undesirable outcome hence, diminishing the survival probability of children with SAM. Such a similar effect was also identified in other studies (11,18).
The study revealed that 12.2% children died during the period of follow up which was higher than the minimum SPHERE standard recommendation of 10% mortality rate (9). On the other hand it was significantly less as compared to findings of a similar study conducted in Zambia with 46% mortality rate(19). The result can also be compared to exemplary studies conducted in a relatively similar context. A study carried out at Hawassa university referral hospital depicts a 15.2% death rate which is again above the value reviled in this study (20). On the contrast a couple of similar studies carried out in Gedo in southern Ethiopia and in Jimma depict an observed mortality rate of 9.3% and 12.6% respectively (18,21). This study reported a higher mortality rate than that of the case of Gedo and Jimma. This increase could be due to differences in treatment setup or patient load (patient clinical profile).
The recovery rate of SAM children cases admitted at Yekatit 12 hospital (70.4%) is below the minimum recovery rate recommended in the SPHERE standard which is 75%. This could be due to issues of institutional capacity or for the fact that the hospital is a referral health institution and cases arrive at a later stage of the illness which in turn results in a greater proportion of terminal events to occur within the first 7 days of admission. Some institutional factors which are likely to contribute to diminished recovery rate include high stuff turnover, unbalanced case load, lack of training, lack of quality assurance procedures, availability of medical supplies and incomplete ward setup (for example, lack of isolated rooms for malnourished children) (22,23).
In this study, the defaulter rate was 8.2% this finding was consistent with the minimum international standard set for management of severe acute malnutrition which is <15%. This is consistent with other studies in the country (21,24) It is unclear what factors contribute to the defaulter rate observed in this study. The outcomes for these patients are unknown and limit a complete interpretation of the data.
The average length of hospital stay of the SAM cases was found out to be 16 days which is consistent with the minimum international standard set for management of severe acute malnutrition. The standard recommends an average length of stay of less than 30 days (9) the finding of the study in this regard is also in line with other analogous studies conducted in Ethiopia (11,18,21).
An average weight gain of 8.13g/kg/day for children with non-edematous malnutrition was computed for the study sample. This value is in line with the minimum international standard set for the management of SAM, which is 8g/kg/day(9). The average weight gain computed in this study is similar to other studies as well (18,21,25). Average weight gain for edematous malnutrition cases was difficult to compute for the reason that there was no documentation regarding when the edema was lost and when weight gain was noticed.
In the study sepsis and HIV antibody positive cases were found to be independent predictors of undesirable outcomes. Adjusting other variables, children with sepsis were 7.7 times more likely to have undesirable outcome than children admitted without sepsis. This was in agreement with other reports (19,26,27). Although sepsis was less common in this study (only 8.4%), compared to other comorbidities, it was found to be an independent predictor of undesirable outcome. Malnutrition and infection/sepsis have a synergistic relationship, through which malnutrition inhibits immune response and infectious diseases can exacerbate malnutrition which in turn increases the severity, duration and frequency of infection (28). In addition to this, the diagnosis of infection in malnourished children is difficult because clinical manifestations of infection such as fever may not be apparent (14). The intertwined effects of malnutrition and infection eventually lead to higher risk of mortality. Similarly, the risk of undesirable outcome in children with SAM that are HIV antibody positive was 3.2 times higher than those cases that are HIV antibody negative. Other similar studies also found out that HIV antibody positive children were 3 times more like to die (3,10,11).
We compared the excluded group of children with that of children included in this study and found no significant differences in their ages or sex (for those with available information) or admission characteristics (mean MUAC, mean WHZ, type of comorbidity) and household characteristics (family size) of the children. Thus, selection bias was less likely to occur.
A major strength of the study was that all the data collection and screening was carried out by the principal investigator which eliminates problems that might arise from lack of scientific judgment. Records have been thoroughly evaluated and only those deemed fit have been included in the study. Regarding the methodology adopted, the process of finding out comorbidities with significant influence on treatment outcomes involved two levels of investigation. First, all the recorded comorbidities were independently run in bivariate cox regression and those with P-value <0.25 were used for the multivariate regression at a later stage.
On the contrary, since the study is retrospective in nature, it completely relied on secondary data source in the form of medical records. Such data source could have incomplete records and missing information. Another drawback common to survival analysis in general is the situation where the treatment outcomes of defaulters and those referred to another institution could not be traced. These groups were simply left out from the analysis resulting in reduced sample size.
The study was conducted to investigate predictors of undesirable treatment outcomes and identify factors associated with undesirable treatment outcomes for children admitted with SAM at Yekatit 12 hospital within a time frame of 4 years (2013—2016). Accordingly, the study found out that the main predictors of undesirable outcome for SAM cases admitted to Yekatit 12 hospital in the specified time frame were HIV and sepsis.
The study also revealed that the overall treatment outcomes were not in line with the SPHERE standard recommendation. The observed mortality rate was higher than what is recommended in the standard and the cure rate was also well below the minimum rate recommended by the SPHERE standard.
Accordingly, rigorous HIV screening should be carried out for every severely malnourished child to be admitted at the ward.
Since the presence of HIV and sepsis are found out to be the greatest contributors towards undesirable treatment outcomes, appropriate diagnosis and management should be put in place with special attention to those diagnosed with sepsis.
It should be noted that additional resources and special attention should be dedicated to SAM cases within the first 7 days of admission for the reason that the mortality rate is observed to be higher in this time period.
CI, Confidence Interval; EDHS, Ethiopian Demographic Health survey; HIV, Human immunodeficiency Virus; HR, Hazard ratio; MAM, Moderate acute malnutrition; MUAC, mid upper arm circumference; SAM, severe acute malnutrition; SDG, sustainable development goal; SPHERE, Social and Public Health Economics Research Group; TFP, therapeutic feeding program; WFH or L, weight for height or length; WHO, World health organization
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request
The authors declare that they have no competing interests
All sources of funding for the research was acquired from private means of the authors.
All authors have made substantial intellectual contribution to the conception and design of the study and also in the acquisition, analysis and interpretation of data. Moreover, the authors have been involved in drafting the manuscript, and agree to be accountable for all aspect of the work.
Research reported in this publication was supported by the Fogarty International Center and National Institute of Mental Health, of the National Institutes of Health under Award Number D43 TW010543. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors would like to thank Addis Continental Institute of Public Health and Yekatit 12 medical college.
Table 1: Sample size calculation based on factors related to undesirable outcome in children admitted with SAM
|
Related Factors |
CI |
Power |
Ratio Une:exp
|
Percentage Outcome in |
Sample Size |
|||
|
Unexposed |
Exposed |
Unexposed |
Exposed |
Total |
||||
|
HIV |
95% |
80% |
1.1 |
13.7% |
60% |
18 |
18 |
36 |
|
Gastroenteritis |
95% |
80% |
1.1 |
11.1% |
25.4% |
115 |
115 |
230 |
|
Hypothermia(<35°C) |
95% |
80% |
1.1 |
10.8% |
33.3 % |
54 |
54 |
108 |
|
Sign of severe pneumonia |
95% |
80% |
1.1 |
4% |
21% |
60 |
60 |
120 |
|
Family size |
95% |
80% |
1.1 |
6.4% |
16.7% |
152 |
152 |
304 |
|
Blood transfusion |
95% |
80% |
1.1 |
5% |
27.6% |
42 |
42 |
84 |
Source: For the sample size calculation, the data were obtained from the study conducted in Gondar University on analysis of hospital records on treatment outcome of SAM, treatment failure and mortality amongst children with SAM presenting with cough or respiratory difficulty and radiological pneumonia in Dhaka, Bangladesh and in St. Mary’s hospital Lacor Northern Uganda on treatment outcome among children under five years hospitalized with SAM(15–17)
Table 2: Socio-demographic and anthropometry of children with SAM admitted to Yekatit 12 hospital, 2013 - 2016
|
Admission characteristics |
Outcome |
|||
|
Improved (%) |
Undesirable outcome (%) |
|||
|
Socio-demographic characteristics |
||||
|
Sex |
Male |
114(85.7) |
19(14.3) |
|
|
Female |
100(79.4) |
26(20.6) |
||
|
Age |
<24 month |
177(82.7) |
37(17.3) |
|
|
≥24 month |
37(82.2) |
8(17.8) |
||
|
Family size |
<3 children |
173(82.8) |
36(17.2) |
|
|
≥3 children |
41(82) |
9(18) |
||
|
Anthropometry and type of malnutrition |
||||
|
WT/HT or L |
<70 % of median |
41(77.4) |
12(22.6) |
|
|
≥70% of median |
173(84) |
33(16) |
||
|
MUAC |
<11 cm |
130(81.2) |
30(18.8) |
|
|
≥11 cm |
84(84.8) |
15(15.2) |
||
|
Type of malnutrition |
Non-edematous |
109(82.6) |
23(17.4) |
|
|
Edematous |
105(82.7) |
22(17.3) |
||
Abbreviations: SAM, severe acute malnutrition; WT/HT, weight/height or length in percent; MUAC, mid upper arm circumference
Table 3: Clinical profile of children with SAM at admission at Yekatit 12 hospital, 2013 - 2016
|
Admission characteristics |
Outcome |
||
|
Improved (%) |
Undesirable outcome (%) |
||
|
Anemia |
Yes |
55(82.1) |
12(17.9) |
|
No |
129(80.6) |
31(19.4) |
|
|
Pneumonia |
Yes |
69(76.7) |
21(23.3) |
|
No |
115(83.9) |
22(16.1) |
|
|
Diarrheal disease |
Yes |
102(81) |
24(19) |
|
No |
82(81.2) |
19(18.8) |
|
|
Sepsis |
Yes |
10(52.6) |
9(47.4) |
|
No |
174(83.7) |
34(16.3) |
|
|
Skin lesion |
Yes |
14(70) |
6(30) |
|
No |
170(82.1) |
37(17.9) |
|
|
Tuberculosis |
Yes |
14(77.8) |
4(22.1) |
|
No |
170(81.3) |
39(18.7) |
|
|
Shock |
Yes |
3(42.9) |
4(57.1) |
|
No |
181(82.3) |
39(17.7) |
|
|
HIV test done |
Yes |
163(85.8) |
27(14.2) |
|
No |
51(73.9) |
18(26.1) |
|
|
Positive |
7(63.6) |
4(36.4. ) |
|
|
Negative |
156(87.2) |
23(12.8) |
|
|
Others |
Yes |
19(73.1) |
7(26.9) |
|
No |
165(82.1) |
36(17.9) |
|
Others: include Urinary tract infection, Electrolyte imbalance, Bacterial conjunctivitis and Otitis Media
Table 4: Comparison of treatment outcomes with SPHERE standard indicators
|
Indicators |
Results |
SPHERE standards |
|
|
Acceptable |
Alarming |
||
|
Cure rate (%) |
70.4 % |
>75% |
<50 |
|
Death rate (%) |
12.2 % |
<10% |
>15 |
|
Defaulter rate (%) |
8.2 % |
<15% |
>25 |
|
Rate of weight gain(g/kg/day) |
8.13g/kg/day |
≥ 8 |
<8 |
|
Average length of stay (days) |
16 days |
< 30 days |
|
Abbreviations: SPHERE, Social and Public Health Economics Research Group
Table 5: Median nutritional recovery time of SAM at admission in Yekatit 12 hospital, 2013-2016
|
Characteristics |
Number |
Median recovery time |
Log rank X2 –value |
P-value |
|
|
Estimate |
95%CI |
||||
|
Sex |
Male |
16 |
14.162-17.838 |
1.857 |
0.173 |
|
Female |
18 |
16.043-19.957 |
|
|
|
|
Age categorical |
<24 month |
17 |
15.443-18.557 |
0.977 |
0.323 |
|
≥24 month |
18 |
14.994-21.006 |
|
|
|
|
Family size |
<3 children |
17 |
15.535-18.465 |
3.443 |
0.064 |
|
≥3 children |
21 |
16.111-25.889 |
|
|
|
|
WT/HT or L |
<70% of median |
17 |
12.150-21.850 |
0.00 |
0.988 |
|
≥70% of median |
17 |
15.612-18.388 |
|
|
|
|
MUAC |
<11 cm |
18 |
16.264-19.736 |
4.336 |
0.037 |
|
≥11 cm |
15 |
13.063-16.937 |
|
|
|
|
Type of malnutrition |
Edematous |
18 |
16.443-19.557 |
0.308 |
0.579 |
|
Non - edematous |
16 |
13.626-18.374 |
|
|
|
|
EBF |
YES |
17 |
15.588-18.412 |
3.893 |
0.048 |
|
NO |
24 |
11.813-36.187 |
|
|
|
|
Comorbidities |
Yes |
17 |
15.411-18.713 |
0.007 |
0.931 |
|
No |
16 |
13.287-18.713 |
|
|
|
|
Anemia |
Yes |
17 |
14.800-19.200 |
0.320 |
0.571 |
|
No |
18 |
16.110-19.890 |
|
|
|
|
Pneumonia |
Yes |
18 |
15.746-20.254 |
0.258 |
0.612 |
|
No |
17 |
15.019-18.981 |
|
|
|
|
Diarrheal disease |
Yes |
18 |
15.935-20.065 |
0.205 |
0.650 |
|
No |
17 |
15.385-18.615 |
|
|
|
|
Sepsis |
Yes |
18 |
9.361-26.639 |
0.160 |
0.690 |
|
No |
17 |
15.386-18.614 |
|
|
|
|
Skin lesion |
Yes |
20 |
16.561-23.439 |
1.790 |
0.181 |
|
No |
17 |
15.414-18.586 |
|
|
|
|
Shock |
Yes |
28 |
24.799-31.201 |
2.146 |
0.143 |
|
No |
17 |
15.423-18.577 |
|
|
|
|
TB |
Yes |
30 |
23.802-36.198 |
8.094 |
0.004 |
|
No |
17 |
15.346-18.654 |
|
|
|
|
HIV antibody |
Positive |
18 |
7.698-28.302 |
0.165 |
0.684 |
|
Negative |
17 |
15.239-18.761 |
|
|
|
|
Vaccination |
Yes |
17 |
15.348-18.652 |
0.193 |
0.661 |
|
No |
18 |
14.944-21.056 |
|
|
|
Table 6: Bivariate analysis and multiple cox regression of factors associated with undesirable outcome (death, no responder and failure to respond) with SAM admitted to Yekatit 12 hospital 2013-2016
|
Variables |
Crude hazard ratio (CHR) |
95% CI |
P- value |
Adjusted hazard ratio (AHR) |
P-value |
|
|
WT/HT or L |
<70% of median |
1.513 |
0.779-2.940 |
0.222* |
1.812(0.769-4.267) |
0.174 |
|
≥70% of median |
1 |
|
|
1 |
|
|
|
Pneumonia |
Yes |
1.471 |
0.809-2.675 |
0.206* |
2.224(0.898-5.506) |
0.084 |
|
No |
1 |
|
|
1 |
|
|
|
Sepsis |
Yes |
4.091 |
1.950-8.581 |
0.000* |
7.677(2.320-25.404) |
0.01 |
|
No |
1 |
|
|
1 |
|
|
|
Shock |
Yes |
3.715 |
1.314-10.507 |
0.013 |
0.799(0.141-4.532) |
0.800 |
|
No |
1 |
|
|
1 |
|
|
|
HIV antibody |
Positive |
3.446 |
1.177-10.087 |
0.024* |
3.208(1.045-9.846) |
0.042 |
|
Negative |
1 |
|
|
1 |
|
|
*Significant at P-value <0.25