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An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya

BACKGROUND: Childhood pneumonia is the leading infectious cause of mortality in children younger than 5 years old. Recent updates to World Health Organization pneumonia guidelines recommend outpatient care for a population of children previously classified as high risk. This revision has been challe...

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Autores principales: Tuti, Timothy, Agweyu, Ambrose, Mwaniki, Paul, Peek, Niels, English, Mike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5682642/
https://www.ncbi.nlm.nih.gov/pubmed/29129186
http://dx.doi.org/10.1186/s12916-017-0963-9
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author Tuti, Timothy
Agweyu, Ambrose
Mwaniki, Paul
Peek, Niels
English, Mike
author_facet Tuti, Timothy
Agweyu, Ambrose
Mwaniki, Paul
Peek, Niels
English, Mike
author_sort Tuti, Timothy
collection PubMed
description BACKGROUND: Childhood pneumonia is the leading infectious cause of mortality in children younger than 5 years old. Recent updates to World Health Organization pneumonia guidelines recommend outpatient care for a population of children previously classified as high risk. This revision has been challenged by policymakers in Africa, where mortality related to pneumonia is higher than in other regions and often complicated by comorbidities. This study aimed to identify factors that best discriminate inpatient mortality risk in non-severe pneumonia and explore whether these factors offer any added benefit over the current criteria used to identify children with pneumonia requiring inpatient care. METHODS: We undertook a retrospective cohort study of children aged 2–59 months admitted with a clinical diagnosis of pneumonia at 14 public hospitals in Kenya between February 2014 and February 2016. Using machine learning techniques, we analysed whether clinical characteristics and common comorbidities increased the risk of inpatient mortality for non-severe pneumonia. The topmost risk factors were subjected to decision curve analysis to explore if using them as admission criteria had any net benefit above the current criteria. RESULTS: Out of 16,162 children admitted with pneumonia during the study period, 10,687 were eligible for subsequent analysis. Inpatient mortality within this non-severe group was 252/10,687 (2.36%). Models demonstrated moderately good performance; the partial least squares discriminant analysis model had higher sensitivity for predicting mortality in comparison to logistic regression. Elevated respiratory rate (≥70 bpm), age 2–11 months and weight-for-age Z-score (WAZ) < –3SD were highly discriminative of mortality. These factors ranked consistently across the different models. For a risk threshold probability of 7–14%, there is a net benefit to admitting the patient sub-populations with these features as additional criteria alongside those currently used to classify severe pneumonia. Of the population studied, 70.54% met at least one of these criteria. Sensitivity analyses indicated that the overall results were not significantly affected by variations in pneumonia severity classification criteria. CONCLUSIONS: Children with non-severe pneumonia aged 2–11 months or with respiratory rate ≥ 70 bpm or very low WAZ experience risks of inpatient mortality comparable to severe pneumonia. Inpatient care is warranted in these high-risk groups of children. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0963-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-56826422017-11-20 An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya Tuti, Timothy Agweyu, Ambrose Mwaniki, Paul Peek, Niels English, Mike BMC Med Research Article BACKGROUND: Childhood pneumonia is the leading infectious cause of mortality in children younger than 5 years old. Recent updates to World Health Organization pneumonia guidelines recommend outpatient care for a population of children previously classified as high risk. This revision has been challenged by policymakers in Africa, where mortality related to pneumonia is higher than in other regions and often complicated by comorbidities. This study aimed to identify factors that best discriminate inpatient mortality risk in non-severe pneumonia and explore whether these factors offer any added benefit over the current criteria used to identify children with pneumonia requiring inpatient care. METHODS: We undertook a retrospective cohort study of children aged 2–59 months admitted with a clinical diagnosis of pneumonia at 14 public hospitals in Kenya between February 2014 and February 2016. Using machine learning techniques, we analysed whether clinical characteristics and common comorbidities increased the risk of inpatient mortality for non-severe pneumonia. The topmost risk factors were subjected to decision curve analysis to explore if using them as admission criteria had any net benefit above the current criteria. RESULTS: Out of 16,162 children admitted with pneumonia during the study period, 10,687 were eligible for subsequent analysis. Inpatient mortality within this non-severe group was 252/10,687 (2.36%). Models demonstrated moderately good performance; the partial least squares discriminant analysis model had higher sensitivity for predicting mortality in comparison to logistic regression. Elevated respiratory rate (≥70 bpm), age 2–11 months and weight-for-age Z-score (WAZ) < –3SD were highly discriminative of mortality. These factors ranked consistently across the different models. For a risk threshold probability of 7–14%, there is a net benefit to admitting the patient sub-populations with these features as additional criteria alongside those currently used to classify severe pneumonia. Of the population studied, 70.54% met at least one of these criteria. Sensitivity analyses indicated that the overall results were not significantly affected by variations in pneumonia severity classification criteria. CONCLUSIONS: Children with non-severe pneumonia aged 2–11 months or with respiratory rate ≥ 70 bpm or very low WAZ experience risks of inpatient mortality comparable to severe pneumonia. Inpatient care is warranted in these high-risk groups of children. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12916-017-0963-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-13 /pmc/articles/PMC5682642/ /pubmed/29129186 http://dx.doi.org/10.1186/s12916-017-0963-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Tuti, Timothy
Agweyu, Ambrose
Mwaniki, Paul
Peek, Niels
English, Mike
An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya
title An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya
title_full An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya
title_fullStr An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya
title_full_unstemmed An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya
title_short An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya
title_sort exploration of mortality risk factors in non-severe pneumonia in children using clinical data from kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5682642/
https://www.ncbi.nlm.nih.gov/pubmed/29129186
http://dx.doi.org/10.1186/s12916-017-0963-9
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