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Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models
OBJECTIVES: To derive a model of paediatric postdischarge mortality following acute infectious illness. DESIGN: Prospective cohort study. SETTING: 2 hospitals in South-western Uganda. PARTICIPANTS: 1307 children of 6 months to 5 years of age were admitted with a proven or suspected infection. 1242 c...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663423/ https://www.ncbi.nlm.nih.gov/pubmed/26608641 http://dx.doi.org/10.1136/bmjopen-2015-009449 |
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author | Wiens, M O Kumbakumba, E Larson, C P Ansermino, J M Singer, J Kissoon, N Wong, H Ndamira, A Kabakyenga, J Kiwanuka, J Zhou, G |
author_facet | Wiens, M O Kumbakumba, E Larson, C P Ansermino, J M Singer, J Kissoon, N Wong, H Ndamira, A Kabakyenga, J Kiwanuka, J Zhou, G |
author_sort | Wiens, M O |
collection | PubMed |
description | OBJECTIVES: To derive a model of paediatric postdischarge mortality following acute infectious illness. DESIGN: Prospective cohort study. SETTING: 2 hospitals in South-western Uganda. PARTICIPANTS: 1307 children of 6 months to 5 years of age were admitted with a proven or suspected infection. 1242 children were discharged alive and followed up 6 months following discharge. The 6-month follow-up rate was 98.3%. INTERVENTIONS: None. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was postdischarge mortality within 6 months following the initial hospital discharge. RESULTS: 64 children died during admission (5.0%) and 61 died within 6 months of discharge (4.9%). Of those who died following discharge, 31 (51%) occurred within the first 30 days. The final adjusted model for the prediction of postdischarge mortality included the variables mid-upper arm circumference (OR 0.95, 95% CI 0.94 to 0.97, per 1 mm increase), time since last hospitalisation (OR 0.76, 95% CI 0.61 to 0.93, for each increased period of no hospitalisation), oxygen saturation (OR 0.96, 95% CI 0.93 to 0·99, per 1% increase), abnormal Blantyre Coma Scale score (OR 2.39, 95% CI 1·18 to 4.83), and HIV-positive status (OR 2.98, 95% CI 1.36 to 6.53). This model produced a receiver operating characteristic curve with an area under the curve of 0.82. With sensitivity of 80%, our model had a specificity of 66%. Approximately 35% of children would be identified as high risk (11.1% mortality risk) and the remaining would be classified as low risk (1.4% mortality risk), in a similar cohort. CONCLUSIONS: Mortality following discharge is a poorly recognised contributor to child mortality. Identification of at-risk children is critical in developing postdischarge interventions. A simple prediction tool that uses 5 easily collected variables can be used to identify children at high risk of death after discharge. Improved discharge planning and care could be provided for high-risk children. |
format | Online Article Text |
id | pubmed-4663423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46634232015-12-03 Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models Wiens, M O Kumbakumba, E Larson, C P Ansermino, J M Singer, J Kissoon, N Wong, H Ndamira, A Kabakyenga, J Kiwanuka, J Zhou, G BMJ Open Global Health OBJECTIVES: To derive a model of paediatric postdischarge mortality following acute infectious illness. DESIGN: Prospective cohort study. SETTING: 2 hospitals in South-western Uganda. PARTICIPANTS: 1307 children of 6 months to 5 years of age were admitted with a proven or suspected infection. 1242 children were discharged alive and followed up 6 months following discharge. The 6-month follow-up rate was 98.3%. INTERVENTIONS: None. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was postdischarge mortality within 6 months following the initial hospital discharge. RESULTS: 64 children died during admission (5.0%) and 61 died within 6 months of discharge (4.9%). Of those who died following discharge, 31 (51%) occurred within the first 30 days. The final adjusted model for the prediction of postdischarge mortality included the variables mid-upper arm circumference (OR 0.95, 95% CI 0.94 to 0.97, per 1 mm increase), time since last hospitalisation (OR 0.76, 95% CI 0.61 to 0.93, for each increased period of no hospitalisation), oxygen saturation (OR 0.96, 95% CI 0.93 to 0·99, per 1% increase), abnormal Blantyre Coma Scale score (OR 2.39, 95% CI 1·18 to 4.83), and HIV-positive status (OR 2.98, 95% CI 1.36 to 6.53). This model produced a receiver operating characteristic curve with an area under the curve of 0.82. With sensitivity of 80%, our model had a specificity of 66%. Approximately 35% of children would be identified as high risk (11.1% mortality risk) and the remaining would be classified as low risk (1.4% mortality risk), in a similar cohort. CONCLUSIONS: Mortality following discharge is a poorly recognised contributor to child mortality. Identification of at-risk children is critical in developing postdischarge interventions. A simple prediction tool that uses 5 easily collected variables can be used to identify children at high risk of death after discharge. Improved discharge planning and care could be provided for high-risk children. BMJ Publishing Group 2015-11-25 /pmc/articles/PMC4663423/ /pubmed/26608641 http://dx.doi.org/10.1136/bmjopen-2015-009449 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Global Health Wiens, M O Kumbakumba, E Larson, C P Ansermino, J M Singer, J Kissoon, N Wong, H Ndamira, A Kabakyenga, J Kiwanuka, J Zhou, G Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models |
title | Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models |
title_full | Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models |
title_fullStr | Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models |
title_full_unstemmed | Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models |
title_short | Postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models |
title_sort | postdischarge mortality in children with acute infectious diseases: derivation of postdischarge mortality prediction models |
topic | Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663423/ https://www.ncbi.nlm.nih.gov/pubmed/26608641 http://dx.doi.org/10.1136/bmjopen-2015-009449 |
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