Kieran S O'Brien1,2, Abdou Amza3, Boubacar Kadri3, Beido Nassirou3, Sun Y Cotter1, Nicole E Stoller1, Sheila K West4, Robin L Bailey5, Travis C Porco1,6,7, Jeremy D Keenan1,6, Thomas M Lietman1,6,7, Catherine E Oldenburg1,7. 1. Francis I. Proctor Foundation, University of California San Francisco, 513 Parnassus Avenue, S334, San Francisco, CA 94143, USA. 2. Division of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA. 3. Programme FSS/Université Abdou Moumouni de Niamey, Programme National de Santé Oculaire, Niamey, Niger. 4. Dana Center for Preventive Ophthalmology, Wilmer Eye Institute, Johns Hopkins University, Baltimore, MD, USA. 5. Clinical Research Unit, Department of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK. 6. Department of Ophthalmology, University of California San Francisco, San Francisco, CA, USA. 7. Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Abstract
OBJECTIVE: 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.
RCT Entities:
OBJECTIVE: 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.
Authors: Martha K Mwangome; Greg Fegan; Tony Fulford; Andrew M Prentice; James A Berkley Journal: Bull World Health Organ Date: 2012-10-16 Impact factor: 9.408
Authors: Ali Sié; Boubacar Coulibaly; Clarisse Dah; Mamadou Bountogo; Mamadou Ouattara; Guillaume Compaoré; Jessica M Brogdon; William W Godwin; Elodie Lebas; Thuy Doan; Benjamin F Arnold; Travis C Porco; Thomas M Lietman; Catherine E Oldenburg Journal: BMC Pediatr Date: 2021-03-17 Impact factor: 2.125
Authors: Kieran S O'Brien; Ahmed M Arzika; Ramatou Maliki; Farouk Manzo; Alio K Mamkara; Elodie Lebas; Catherine Cook; Robin L Bailey; Sheila K West; Catherine E Oldenburg; Travis C Porco; Benjamin Arnold; Jeremy D Keenan; Thomas M Lietman Journal: PLoS Med Date: 2020-09-15 Impact factor: 11.069