Dataset Information

The impact of rickets on growth and morbidity during recovery among children with complicated severe acute malnutrition in Kenya: A cohort study.

ABSTRACT: The effects of rickets on children recovery from severe acute malnutrition (SAM) are unknown. Rickets may affect both growth and susceptibility to infectious diseases. We investigated the associations of clinically diagnosed rickets with life-threatening events and anthropometric recovery during 1 year following inpatient treatment for complicated SAM. This was a secondary analysis of clinical trial data among non-human immunodeficiency virus-infected Kenyan children with complicated SAM (2-59 months) followed for 1 year posthospital discharge (ClinicalTrials.gov ID NCT00934492). The outcomes were mortality, hospital readmissions, and growth during 12 months. The main exposure was clinically diagnosed rickets at baseline. Of 1,778 children recruited, 230 (12.9%, 95% CI [11.4, 14 .6]) had clinical signs of rickets at baseline. Enrolment at an urban site, height-for-age and head circumference-for-age z scores were associated with rickets. Rickets at study enrolment was associated with increased mortality (adjusted Hazard Ratio [aHR] 1.61, 95% CI [1.14, 2.27]), any readmission (aHR 1.37, 95% CI [1.09, 1.72]), readmission for severe pneumonia (aHR 1.37, 95% CI [1.05, 1.79]), but not readmission with diarrhoea (aHR 1.05, 95% CI [0.73, 1.51]). Rickets was associated with increased height gain (centimetres), adjusted regression coefficient 0.19 (95% CI [0.10, 0.28]), but not changes in head circumference, mid-upper arm circumference, or weight. Rickets was common among children with SAM at urban sites and associated with increased risks of severe pneumonia and death. Increased height gain may have resulted from vitamin D and calcium treatment. Future work should explore possibility of other concurrent micronutrient deficiencies and optimal treatment of rickets in this high-risk population.

SUBMITTER: Ngari MM

PROVIDER: S-EPMC5901410 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The impact of rickets on growth and morbidity during recovery among children with complicated severe acute malnutrition in Kenya: A cohort study.

Ngari Moses M MM Thitiri Johnstone J Mwalekwa Laura L Timbwa Molline M Iversen Per Ole PO Fegan Greg W GW Berkley James A JA

Maternal & child nutrition 20171127 2

The effects of rickets on children recovery from severe acute malnutrition (SAM) are unknown. Rickets may affect both growth and susceptibility to infectious diseases. We investigated the associations of clinically diagnosed rickets with life-threatening events and anthropometric recovery during 1 year following inpatient treatment for complicated SAM. This was a secondary analysis of clinical trial data among non-human immunodeficiency virus-infected Kenyan children with complicated SAM (2-59 m ...[more]

PMID: 29178404

Similar Datasets

Project description:IntroductionMalnutrition is a public health problem in under-five children in several parts of the world even after decades of the implementation of management protocols. An estimated 17 million children under the age of five years are living with severe acute malnutrition and the majorities are found in Asia and Africa, including Ethiopia.ObjectiveThe main objective of this study was to determine the recovery rate and its predictors among under-five children who were admitted to St. Paul's Hospital Millennium Medical College from 2012 to 2019.MethodsAn institution based retrospective cohort study was employed at St. Paul's Hospital Millennium Medical College from May 20, 2019 to June 28, 2019. Data were collected by reviewing children's' medical records using a structured checklist. A total of 534 charts were selected using a simple random sampling method and 515 of them were used for the final analysis. Ep-info version 7 software was used for data entry and STATA Version 15 for analysis. The Kaplan Meier failure estimate with Log-rank test was used to determine the survival estimates. Bi-variable and multivariable Cox proportional hazards regression model were fitted to identify predictors of mortality. Finally, variables with p-values less than 0.05 in the multivariable Cox regression were considered as independent predictors. The proportional hazards assumption was checked using the Schoenfeld residuals test and the final model fitness was checked using the Cox-Snail residual test.ResultIn this study, a total of 515 subjects were followed for 8672 child-days and 79% of the subjects recovered from SAM with the median time of 17 days. The incidence density rate of recovery was 46 per 1000 child-days. Tuberculosis (AHR(Adjusted Hazard Ratio) 0.44 & 95% CI: 0.32, 0.62), pale conjunctiva (AHR,0.67 & 95% CI: 0.52, 0.88), IV fluid infusion (AHR, 0.71 & 95 CI: 0.51, 0.98), feeding F100 (AHR, 1.63 & 95% CI:1.04,2.54), Vitamin A supplementation (AHR, 1.3 & 95% CI:1.07, 1.59) and bottle feeding (AHR, 0.79 & 95CI%: 0.64-0.98) were the independent predictors of time to recovery from SAM.ConclusionIn conclusion, the recovery rate was relatively higher than the Sphere standard and the national SAM management protocol. Co-morbidities and the treatments given were the main determinants of recovery of children. Co-morbidities must be managed as early as possible and the treatments given during the SAM management process need to be given with precaution.

Project description:BackgroundGoals of treating childhood severe acute malnutrition (SAM), in addition to anthropometric recovery and preventing short-term mortality, include reducing the risks of subsequent serious infections. How quickly and how much the risk of serious illness changes during rehabilitation are unknown but could inform improving the design and scope of interventions.ObjectiveThe aim of this study was to investigate changes in the risk of life-threatening events (LTEs) in relation to anthropometric recovery from SAM.DesignThis was a secondary analysis of a clinical trial including 1778 HIV-uninfected Kenyan children aged 2-59 mo with complicated SAM, enrolled after the inpatient stabilization phase of treatment, and followed for 12 mo. The main outcome was LTEs, defined as infections requiring rehospitalization or causing death. We examined anthropometric variables measured at months 1, 3, and 6 after enrollment in relation to LTEs occurring during the 6 mo after each of these time points.ResultsOver 12 mo, there were 823 LTEs (257 fatal), predominantly severe pneumonia and diarrhea. At months 1, 3, and 6, 557 (34%), 764 (49%), and 842 (56%) children had a weight-for-height or -length z score (WHZ) ≥-2, respectively, which, compared with a WHZ <-3, was associated with lower risks of subsequent LTEs [adjusted HRs (95% CIs): 0.50 (0.40, 0.64), 0.30 (0.23, 0.39), and 0.23 (0.16, 0.32), respectively]. However, children with a WHZ ≥-2 at 1, 3, and 6 mo still had 39 (95% CI: 32, 47), 26 (95% CI: 22, 32), and 15 (95% CI: 12, 20) LTEs/100 child-years of observation during the following 6 mo. WHZ at study enrollment predicted subsequent WHZ but not the risk of LTEs. Changes in height-for-age z score did not predict LTEs.ConclusionsAnthropometric response was associated with a rapid and substantial reduction in risk of LTEs. However, reduction in susceptibility lagged behind anthropometric improvement. Disease events, together with anthropometric assessment, may provide a clearer picture of the effectiveness of interventions. Robust protocols for detecting and treating poor anthropometric recovery and addressing broader vulnerabilities that complicated SAM indicates may save lives. This trial was registered at www.clinicaltrials.gov as NCT00934492.

Dataset Information

The impact of rickets on growth and morbidity during recovery among children with complicated severe acute malnutrition in Kenya: A cohort study.

Publications

The impact of rickets on growth and morbidity during recovery among children with complicated severe acute malnutrition in Kenya: A cohort study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets