scholarly journals Improving screening for malnourished children at high risk of death: a study of children aged 6–59 months in rural Senegal

2018 ◽  
Vol 22 (5) ◽  
pp. 862-871 ◽  
Author(s):  
Mark Myatt ◽  
Tanya Khara ◽  
Carmel Dolan ◽  
Michel Garenne ◽  
André Briend

AbstractObjectiveTo investigate whether children with concurrent wasting and stunting require therapeutic feeding and to better understand whether multiple diagnostic criteria are needed to identify children with a high risk of death and in need of treatment.DesignCommunity-based cohort study, following 5751 children through time. Each child was visited up to four times at 6-month intervals. Anthropometric measurements were taken at each visit. Survival was monitored using a demographic surveillance system operating in the study villages.SettingNiakhar, a rural area of the Fatick region of central Senegal.ParticipantsChildren aged 6–59 months living in thirty villages in the study area.ResultsWeight-for-age Z-score (WAZ) and mid-upper arm circumference (MUAC) were independently associated with near-term mortality. The lowest WAZ threshold that, in combination with MUAC, detected all deaths associated with severe wasting or concurrent wasting and stunting was WAZ <−2·8. Performance for detecting deaths was best when only WAZ and MUAC were used. Additional criteria did not improve performance. Risk ratios for near-term death in children identified using WAZ and MUAC suggest that children identified by WAZ <−2·8 but with MUAC≥115 mm may require lower-intensity treatment than children identified using MUAC <115 mm.ConclusionsA combination of MUAC and WAZ detected all near-term deaths associated with severe anthropometric deficits including concurrent wasting and stunting. Therapeutic feeding programmes may achieve higher impact if WAZ and MUAC admission criteria are used.

2019 ◽  
Vol 23 (3) ◽  
pp. 538-543 ◽  
Author(s):  
Kieran S O’Brien ◽  
Abdou Amza ◽  
Boubacar Kadri ◽  
Beido Nassirou ◽  
Sun Y Cotter ◽  
...  

AbstractObjective:In the present study, we aimed to compare anthropometric indicators as predictors of mortality in a community-based setting.Design:We conducted a population-based longitudinal study nested in a cluster-randomized trial. We assessed weight, height and mid-upper arm circumference (MUAC) on children 12 months after the trial began and used the trial’s annual census and monitoring visits to assess mortality over 2 years.Setting:Niger.Participants:Children aged 6–60 months during the study.Results:Of 1023 children included in the study at baseline, height-for-age Z-score, weight-for-age Z-score, weight-for-height Z-score and MUAC classified 777 (76·0 %), 630 (61·6 %), 131 (12·9 %) and eighty (7·8 %) children as moderately to severely malnourished, respectively. Over the 2-year study period, fifty-eight children (5·7 %) died. MUAC had the greatest AUC (0·68, 95 % CI 0·61, 0·75) and had the strongest association with mortality in this sample (hazard ratio = 2·21, 95 % CI 1·26, 3·89, P = 0·006).Conclusions:MUAC appears to be a better predictor of mortality than other anthropometric indicators in this community-based, high-malnutrition setting in Niger.


BMC Nutrition ◽  
2016 ◽  
Vol 2 (1) ◽  
Author(s):  
André Briend ◽  
José-Luis Alvarez ◽  
Nathalie Avril ◽  
Paluku Bahwere ◽  
Jeanette Bailey ◽  
...  

2015 ◽  
Vol 9 (3) ◽  
pp. 268 ◽  
Author(s):  
Joseph Birundu Mogendi ◽  
Hans De Steur ◽  
Xavier Gellynck ◽  
Hibbah Araba Saeed ◽  
Anselimo Makokha

The Lancet ◽  
1987 ◽  
Vol 330 (8561) ◽  
pp. 725-728 ◽  
Author(s):  
André Briend ◽  
Bogdan Wojtyniak ◽  
MichaelG.M Rowland

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 874-874
Author(s):  
Fausto R Loberiza ◽  
Anthony J Cannon ◽  
Dennis D Weisenburger ◽  
Julie M. Vose ◽  
Matt J. Moehr ◽  
...  

Abstract Objectives: We evaluated the association of the primary area of residence (urban vs. rural) and treatment (trt) provider (university-based vs. community-based) with overall survival in patients with lymphoma, and determined if there are patient subgroups that could benefit from better coordination of care. Methods: We performed a population-based study in 2,330 patients with centrally confirmed lymphoma from Nebraska and surrounding states reported to the Nebraska Lymphoma Study Group between 1982 and 2006. Patient residential ZIP codes at the time to trt were used to determine rural/urban designation, household income and distance to trt center; while trt providers were categorized into university-based or community based. Multivariate analyses were used to group patients into risk levels based on 8 factors found to be associated with survival at the time of trt (age, performance score, Ann Arbor stage, presence of B symptoms, LDH levels, tumor bulk, nodal and extranodal involvement). The following categories were identified: low-risk (1–3 factors), intermediate risk (4–5 factors), and high-risk (≥6 factors). Cox proportional regression analyses, stratified by type of lymphoma (low-grade NHL, high-grade NHL and Hodgkin) were used to evaluate the association between place of residence and trt provider with overall survival. Results: Among urban residents, 321 (14%) were treated by university-based providers (UUB) and 816 (35%) were treated by community-based providers (UCB). Among rural residents, 332 (14%) were treated by university-based providers (RUB) and 861 (37%) were treated by community-based providers (RCB). Patients from rural areas were more likely to be older and Caucasian, with a lower median household income, greater travel distance to seek trt, and more likely to have high-risk disease when compared to patients from urban areas. In multivariate analysis, using all patients regardless of risk level, the relative risk of death (RR) among UUB, UCB and RUB was not statistically different. However, RCB had a higher risk of death RR 1.37, 95% CI 1.14–1.65, p=0.01; RR 1.18, 95% CI 1.04–1.33, p<0.01; and RR 1.26, 95% CI 1.06–1.49, p=0.01 when compared with UUB, UCB and RUB, respectively. This association remained true in both low- and intermediate-risk patients. Among high-risk patients, both RUB and RCB were at higher risk of death when compared with UUB or UCB, while UCB were not different from UUB. We found no differences in progression-free survival according to place of residence and trt provider. The use of stem cell transplantation was significantly higher in patients coming from urban and rural areas treated by university-based providers (UUB 19%, RUB 16%) compared to urban and rural patients treated by community-based providers (UCB 11%, RCB 10%, p < 0.01). Patients from rural areas (RUB and RCB) were slightly less likely to die from lymphoma-related causes than patients from urban areas (75% versus 80%, p=0.04). Conclusion: Overall survival in patients with lymphoma is inferior in patients coming from rural areas. This relationship varies according to treatment provider and pretreatment risk levels. Further studies in patients from rural areas are needed to understand how coordination of care is carried to design appropriate interventions that may improve the disparity noted.


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