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Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs

BACKGROUND: Despite adherence to WHO guidelines, inpatient mortality among sick children admitted to hospital with complicated severe acute malnutrition (SAM) remains unacceptably high. Several studies have examined risk factors present at admission for mortality. However, risks may evolve during ad...

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Autores principales: Wen, Bijun, Brals, Daniella, Bourdon, Celine, Erdman, Lauren, Ngari, Moses, Chimwezi, Emmanuel, Potani, Isabel, Thitiri, Johnstone, Mwalekwa, Laura, Berkley, James A., Bandsma, Robert H. J., Voskuijl, Wieger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451091/
https://www.ncbi.nlm.nih.gov/pubmed/34538239
http://dx.doi.org/10.1186/s12916-021-02074-6
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author Wen, Bijun
Brals, Daniella
Bourdon, Celine
Erdman, Lauren
Ngari, Moses
Chimwezi, Emmanuel
Potani, Isabel
Thitiri, Johnstone
Mwalekwa, Laura
Berkley, James A.
Bandsma, Robert H. J.
Voskuijl, Wieger
author_facet Wen, Bijun
Brals, Daniella
Bourdon, Celine
Erdman, Lauren
Ngari, Moses
Chimwezi, Emmanuel
Potani, Isabel
Thitiri, Johnstone
Mwalekwa, Laura
Berkley, James A.
Bandsma, Robert H. J.
Voskuijl, Wieger
author_sort Wen, Bijun
collection PubMed
description BACKGROUND: Despite adherence to WHO guidelines, inpatient mortality among sick children admitted to hospital with complicated severe acute malnutrition (SAM) remains unacceptably high. Several studies have examined risk factors present at admission for mortality. However, risks may evolve during admission with medical and nutritional treatment or deterioration. Currently, no specific guidance exists for assessing daily treatment response. This study aimed to determine the prognostic value of monitoring clinical signs on a daily basis for assessing mortality risk during hospitalization in children with SAM. METHODS: This is a secondary analysis of data from a randomized trial (NCT02246296) among 843 hospitalized children with SAM. Daily clinical signs were prospectively collected during ward rounds. Multivariable extended Cox regression using backward feature selection was performed to identify daily clinical warning signs (CWS) associated with time to death within the first 21 days of hospitalization. Predictive models were subsequently developed, and their prognostic performance evaluated using Harrell’s concordance index (C-index) and time-dependent area under the curve (tAUC). RESULTS: Inpatient case fatality ratio was 16.3% (n=127). The presence of the following CWS during daily assessment were found to be independent predictors of inpatient mortality: symptomatic hypoglycemia, reduced consciousness, chest indrawing, not able to complete feeds, nutritional edema, diarrhea, and fever. Daily risk scores computed using these 7 CWS together with MUAC<10.5cm at admission as additional CWS predict survival outcome of children with SAM with a C-index of 0.81 (95% CI 0.77–0.86). Moreover, counting signs among the top 5 CWS (reduced consciousness, symptomatic hypoglycemia, chest indrawing, not able to complete foods, and MUAC<10.5cm) provided a simpler tool with similar prognostic performance (C-index of 0.79; 95% CI 0.74–0.84). Having 1 or 2 of these CWS on any day during hospitalization was associated with a 3 or 11-fold increased mortality risk compared with no signs, respectively. CONCLUSIONS: This study provides evidence for structured monitoring of daily CWS as recommended clinical practice as it improves prediction of inpatient mortality among sick children with complicated SAM. We propose a simple counting-tool to guide healthcare workers to assess treatment response for these children. TRIAL REGISTRATION: NCT02246296 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02074-6.
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spelling pubmed-84510912021-09-20 Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs Wen, Bijun Brals, Daniella Bourdon, Celine Erdman, Lauren Ngari, Moses Chimwezi, Emmanuel Potani, Isabel Thitiri, Johnstone Mwalekwa, Laura Berkley, James A. Bandsma, Robert H. J. Voskuijl, Wieger BMC Med Research Article BACKGROUND: Despite adherence to WHO guidelines, inpatient mortality among sick children admitted to hospital with complicated severe acute malnutrition (SAM) remains unacceptably high. Several studies have examined risk factors present at admission for mortality. However, risks may evolve during admission with medical and nutritional treatment or deterioration. Currently, no specific guidance exists for assessing daily treatment response. This study aimed to determine the prognostic value of monitoring clinical signs on a daily basis for assessing mortality risk during hospitalization in children with SAM. METHODS: This is a secondary analysis of data from a randomized trial (NCT02246296) among 843 hospitalized children with SAM. Daily clinical signs were prospectively collected during ward rounds. Multivariable extended Cox regression using backward feature selection was performed to identify daily clinical warning signs (CWS) associated with time to death within the first 21 days of hospitalization. Predictive models were subsequently developed, and their prognostic performance evaluated using Harrell’s concordance index (C-index) and time-dependent area under the curve (tAUC). RESULTS: Inpatient case fatality ratio was 16.3% (n=127). The presence of the following CWS during daily assessment were found to be independent predictors of inpatient mortality: symptomatic hypoglycemia, reduced consciousness, chest indrawing, not able to complete feeds, nutritional edema, diarrhea, and fever. Daily risk scores computed using these 7 CWS together with MUAC<10.5cm at admission as additional CWS predict survival outcome of children with SAM with a C-index of 0.81 (95% CI 0.77–0.86). Moreover, counting signs among the top 5 CWS (reduced consciousness, symptomatic hypoglycemia, chest indrawing, not able to complete foods, and MUAC<10.5cm) provided a simpler tool with similar prognostic performance (C-index of 0.79; 95% CI 0.74–0.84). Having 1 or 2 of these CWS on any day during hospitalization was associated with a 3 or 11-fold increased mortality risk compared with no signs, respectively. CONCLUSIONS: This study provides evidence for structured monitoring of daily CWS as recommended clinical practice as it improves prediction of inpatient mortality among sick children with complicated SAM. We propose a simple counting-tool to guide healthcare workers to assess treatment response for these children. TRIAL REGISTRATION: NCT02246296 SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02074-6. BioMed Central 2021-09-20 /pmc/articles/PMC8451091/ /pubmed/34538239 http://dx.doi.org/10.1186/s12916-021-02074-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Wen, Bijun
Brals, Daniella
Bourdon, Celine
Erdman, Lauren
Ngari, Moses
Chimwezi, Emmanuel
Potani, Isabel
Thitiri, Johnstone
Mwalekwa, Laura
Berkley, James A.
Bandsma, Robert H. J.
Voskuijl, Wieger
Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs
title Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs
title_full Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs
title_fullStr Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs
title_full_unstemmed Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs
title_short Predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs
title_sort predicting the risk of mortality during hospitalization in sick severely malnourished children using daily evaluation of key clinical warning signs
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451091/
https://www.ncbi.nlm.nih.gov/pubmed/34538239
http://dx.doi.org/10.1186/s12916-021-02074-6
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