Dataset Information

Predictors of in-hospital mortality among under-five children with severe acute malnutrition in South-Western Uganda.

ABSTRACT:

Background

Severe acute malnutrition (SAM) affects about 13 million under-five children (U5), with an estimated one million dying every year. In this study we aimed at determining the in hospital mortality and its associated factors among U5s admitted with SAM.

Methods

This was a prospective cohort study of children 6 months to 5 years with SAM admitted at Mbarara Regional Referral Hospital (MRRH) between June and August 2015. Care-takers were interviewed to collect socio-demographic and clinical information. Children under-went physical examination and had blood drawn for HIV, serum glucose, malaria, full blood count, culture and serum electrolytes investigation. Children were managed according to WHO treatment guidelines for SAM. All participants were followed up for a maximum period of 30 days. The proportion of U5 deaths within the first 48 hours and during the entire admission period was calculated. Using Poisson regression analysis, predictors of in-hospital mortality were analyzed with STATA/IC 11.0.

Results

We enrolled 122 children, median age of 15 months [IQR:11-24], 58.2% males, 90% immunized, 81% ill for more than 2 weeks before admission, 71% from lower health facilities and majority with unknown HIV status(76%). Overall, 13 (10.7%) children died in hospital. Seven (5.7%) died within the first 48 hours. Intravenous (IV) fluid administration significantly predicted in-hospital mortality (adjusted IRR: 7.2, 95%CI: 2.14-24.08, p = 0.001).

Conclusion

The in-hospital mortality in U5s with SAM was lower than that previously reported in central Uganda. Intravenous fluid administration significantly predicted overall in-hospital mortality. While Administration of intravenous fluids is still the main stay of managing severely malnourished children with shock, more research needs to be conducted in order to review the parameters presently used to assess children for shock with a view of diagnosing and managing shock in these children when it is still early. Adequate guidance on use of IV fluids in management of severely malnourished children should be prioritized during continuous medical education for healthcare workers and in the treatment guidelines.

SUBMITTER: Nduhukire T

PROVIDER: S-EPMC7319331 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

Predictors of in-hospital mortality among under-five children with severe acute malnutrition in South-Western Uganda.

Nduhukire Timothy T Atwine Daniel D Rachel Luwaga L Byonanebye Joseph E JE

PloS one 20200626 6

<h4>Background</h4>Severe acute malnutrition (SAM) affects about 13 million under-five children (U5), with an estimated one million dying every year. In this study we aimed at determining the in hospital mortality and its associated factors among U5s admitted with SAM.<h4>Methods</h4>This was a prospective cohort study of children 6 months to 5 years with SAM admitted at Mbarara Regional Referral Hospital (MRRH) between June and August 2015. Care-takers were interviewed to collect socio-demograp ...[more]

PMID: 32589637

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Project description:IntroductionPreterm neonatal mortality contributes substantially to the high neonatal mortality globally. In Uganda, preterm neonatal mortality accounts for 31% of all neonatal deaths. Previous studies have shown variability in mortality rates by healthcare setting. Also, different predictors influence the risk of neonatal mortality in different populations. Understanding the predictors of preterm neonatal mortality in the low-resource setting where we conducted our study could guide the development of interventions to improve outcomes for preterm neonates. We thus aimed to determine the incidence and predictors of mortality among preterm neonates born at Mbarara Regional Referral Hospital (MRRH) in South Western Uganda.MethodsWe prospectively enrolled 538 live preterm neonates born at MRRH from October 2019 to September 2020. The neonates were followed up until death or 28 days, whichever occurred first. We used Kaplan Meier survival analysis to describe preterm neonatal mortality and Cox proportional hazards regression to assess predictors of preterm neonatal mortality over a maximum of 28 days of follow up.ResultsThe cumulative incidence of preterm neonatal mortality was 19.8% (95% C.I: 16.7-23.5) at 28 days from birth. Birth asphyxia (adjusted hazard ratio [aHR], 14.80; 95% CI: 5.21 to 42.02), not receiving kangaroo mother care (aHR, 9.50; 95% CI: 5.37 to 16.78), delayed initiation of breastfeeding (aHR, 9.49; 95% CI: 2.84 to 31.68), late antenatal care (ANC) booking (aHR, 1.81 to 2.52; 95% CI: 1.11 to 7.11) and no ANC attendance (aHR, 3.56; 95% CI: 1.51 to 8.43), vaginal breech delivery (aHR, 3.04; 95% CI: 1.37 to 5.18), very preterm births (aHR, 3.17; 95% CI: 1.24 to 8.13), respiratory distress syndrome (RDS) (aHR, 2.50; 95% CI: 1.11 to 5.64) and hypothermia at the time of admission to the neonatal unit (aHR, 1.98; 95% CI: 1.18 to 3.33) increased the risk of preterm neonatal mortality. Attending more than 4 ANC visits (aHR, 0.35; 95% CI: 0.12 to 0.96) reduced the risk of preterm neonatal mortality.ConclusionsWe observed a high cumulative incidence of mortality among preterm neonates born at a low-resource regional referral hospital in Uganda. The predictors of mortality among preterm neonates were largely modifiable factors occurring in the prenatal, natal and postnatal period (lack of ANC attendance, late ANC booking, vaginal breech delivery, birth asphyxia, respiratory distress syndrome, and hypothermia at the time of admission to the neonatal unit, not receiving kangaroo mother care and delayed initiation of breastfeeding). These findings suggest that investment in and enhancement of ANC attendance, intrapartum care, and the feasible essential newborn care interventions by providing the warm chain through kangaroo mother care, encouraging early initiation of breastfeeding, timely resuscitation for neonates when indicated and therapies reducing the incidence and severity of RDS could improve outcomes among preterm neonates in this setting.

Project description:Background:Severe acute malnutrition remains one of the most common causes of morbidity and mortality in Sub-Saharan Africa. The objective of this study was to investigate morbidity and mortality trends and factors associated with mortality of under-five children admitted and managed for severe acute malnutrition in NEMMH. Methods:Four years retrospective cohort study was conducted on 500 under-five children admitted with the diagnosis of severe acute malnutrition. The study population was all under- five children admitted to the inpatient nutrition unit between 2012 and 2015. Data was entered using Epi-Data version 3.1 and exported to SPSS version 16 for analysis. A Kaplan- Meier curve was also used to estimate survival probability of different types of severe acute malnutrition. Cox proportional hazards regression was used to predict the risk of death among predictor while adjusting for other variables. A P-value less than 0.05 was considered as statistically significant. Result:A total of 500 children were enrolled into the study. Kwashiorkor was the most frequently recorded morbidity accounting for 43.0%. Pneumonia was seen the commonest form of comorbid disease. It was the most common co-morbidity across all morbidity groups. (27.6% in kwashiorkor, 37.5% in marasmus and 37.7% in marasmic-kwashiorkor). The average length of stay in the hospital was 11 days.Children with new admission were 86% less likely to die than repeated admission given that the children were admitted to paediatric ward (HR: 0.14, 95% CI: (0.06, 0.35). Kaplan Meier survival curves also showed children with marasmus and those with repeated admission had reduced survival rates. The overall mortality rate was 7%. The mortality trends vary irregularly in each year but morbidity trend increased with admission from 2014 to 2015. Conclusion:Mortality trends of SAM vary irregularly across the years but morbidity trends increased with admission from 2014 to 2015. An admission type was significantly associated with mortality. Morbidity and co-morbid diseases did not show significant effect on mortality of the children. Health extension workers and stakeholders should give due concern on promotion of proper nutrition in a community.

Project description:BACKGROUND:Severe forms of malnutrition have drastic effects on childhood morbidity and mortality in sub-Saharan countries, including Ethiopia. Although few studies have previously estimated treatment outcomes of severe acute malnutrition (SAM) in Ethiopia, the findings were widely varied and inconsistent. This study thus aimed to pool estimates of treatment outcomes and identify predictors of mortality among children with SAM in Ethiopia. METHODS:A systematic review was carried out to select 21 eligible articles from identified 1013 studies (dating from 2000 to 2018) that estimated treatment outcomes and predictors of mortality among SAM children. Databases including PubMed, CINHAL, Web of Sciences; Cochrane, Psych INFO and Google Scholar were comprehensively reviewed using medical subject headings (MESH) and a priori set criteria PRISMA guideline was used to systematically review and meta-analyze eligible studies. Details of sample size, magnitude of effect sizes, including Hazard Ratio (HRs) and standard errors were extracted. Random-effects model was used to calculate pooled estimates in Stata/se version-14. Cochran's Q, I2, and meta-bias statistics were assessed for heterogeneity and Egger's test for publication bias. RESULT:Twenty-one studies were included in the final analysis, which comprised 8057 under-five children with SAM in Ethiopia. The pooled estimates of treatment outcomes, in terms of death, recovery, defaulter and transfer out and non-response rates were 10.3% (95% CI: 8.3, 12.3), 70.5% (95% CI: 65.7, 72.2), 13.8% (95% CI: 10.8, 16.9) and 5.1% (95% CI: 3.3, 6.9), respectively. Diarrhea (HR: 1.5, 95% CI: 1.1, 2.2), dehydration (HR: 3.1, 95% CI: 2.3, 4.2) and anemia (HR: 2.2, 95% CI: 1.5, 3.3) were statistically significant predictors of mortality among these children. No publication bias was detected. CONCLUSION:Treatment outcomes in under-five children with SAM are lower than the World Health Organization (WHO) standard, where mortality is being predicted by comorbidities at admission. Children with SAM need to be treated for diarrhea, dehydration and anemia at the primary point of care to reduce mortality.

Project description:BACKGROUND:Under-five malnutrition is a major public health issue contributing to mortality and morbidity, especially in developing countries like Ghana where the rates remain unacceptably high. Identification of critical risk factors of under-five malnutrition using appropriate and advanced statistical methods can help formulate appropriate health programmes and policies aimed at achieving the United Nations SDG Goal 2 target 2. This study attempts to develop a simultaneous quantile regression, an in-depth statistical model to identify critical risk factors of under-five severe chronic malnutrition (severe stunting). METHODS:Based on the nationally representative data from the 2014 Ghana Demographic and Health Survey, height-for-age z-score (HAZ) was estimated. Multivariable simultaneous quantile regression modelling was employed to identify critical risk factors for severe stunting based on HAZ (a measure of chronic malnutrition in populations). Quantiles of HAZ with focus on severe stunting were modelled and the impact of the risk factors determined. Significant test of the difference between slopes at different selected quantiles of severe stunting and other quantiles were performed. A quantile regression plots of slopes were developed to visually examine the impact of the risk factors across these quantiles. RESULTS:Data on a total of 2716 children were analysed out of which 144 (5.3%) were severely stunted. The models identified child level factors such as type of birth, sex, age, place of delivery and size at birth as significant risk factors of under-five severe stunting. Maternal and household level factors identified as significant predictors of under-five severe stunting were maternal age and education, maternal national health insurance status, household wealth status, and number of children under-five in households. Highly significant differences exist in the slopes between 0.1 and 0.9 quantiles. The quantile regression plots for the selected quantiles from 0.1 to 0.9 showed substantial differences in the impact of the covariates across the quantiles of HAZ considered. CONCLUSION:Critical risk factors that can aid formulation of child nutrition and health policies and interventions that will improve child nutritional outcomes and survival were identified. Modelling under-five severe stunting using multivariable simultaneous quantile regression models could be beneficial to addressing the under-five severe stunting.

Dataset Information

Predictors of in-hospital mortality among under-five children with severe acute malnutrition in South-Western Uganda.

Background

Methods

Results

Conclusion

Publications

Predictors of in-hospital mortality among under-five children with severe acute malnutrition in South-Western Uganda.

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