Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.

Pneumonia is the leading infectious cause of under-5 mortality in sub-Saharan Africa. Clinical prediction tools may aide case classification, triage, and allocation of hospital resources. We performed an external validation of two published prediction tools and compared this to a locally developed t...

Full description

Bibliographic Details
Main Authors: Shubhada Hooli, Tim Colbourn, Norman Lufesi, Anthony Costello, Bejoy Nambiar, Satid Thammasitboon, Charles Makwenda, Charles Mwansambo, Eric D McCollum, Carina King
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5193399?pdf=render
id doaj-ae3b535069f241f498cceb6ae49d3586
record_format Article
spelling doaj-ae3b535069f241f498cceb6ae49d35862020-11-24T21:30:29ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016812610.1371/journal.pone.0168126Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.Shubhada HooliTim ColbournNorman LufesiAnthony CostelloBejoy NambiarSatid ThammasitboonCharles MakwendaCharles MwansamboEric D McCollumCarina KingPneumonia is the leading infectious cause of under-5 mortality in sub-Saharan Africa. Clinical prediction tools may aide case classification, triage, and allocation of hospital resources. We performed an external validation of two published prediction tools and compared this to a locally developed tool to identify children admitted with pneumonia at increased risk for in-hospital mortality in Malawi.We retrospectively analyzed the performance of the Respiratory Index of Severity in Children (RISC) and modified RISC (mRISC) scores in a child pneumonia dataset prospectively collected during routine care at seven hospitals in Malawi between 2011-2014. RISC has both an HIV-infected and HIV-uninfected tool. A local score (RISC-Malawi) was developed using multivariable logistic regression with missing data multiply imputed using chained equations. Score performances were assessed using c-statistics, sensitivity, specificity, positive predictive value, negative predictive value, and likelihood statistics.16,475 in-patient pneumonia episodes were recorded (case-fatality rate (CFR): 3.2%), 9,533 with complete data (CFR: 2.0%). The c-statistic for the RISC (HIV-uninfected) score, used to assess its ability to differentiate between children who survived to discharge and those that died, was 0.72. The RISC-Malawi score, using mid-upper arm circumference as an indicator of malnutrition severity, had a c-statistic of 0.79. We were unable to perform a comprehensive external validation of RISC (HIV-infected) and mRISC as both scores include parameters that were not routinely documented variables in our dataset.In our population of Malawian children with WHO-defined pneumonia, the RISC (HIV-uninfected) score identified those at high risk for in-hospital mortality. However the refinement of parameters and resultant creation of RISC-Malawi improved performance. Next steps include prospectively studying both scores to determine if incorporation into routine care delivery can have a meaningful impact on in-hospital CFRs of children with WHO-defined pneumonia.http://europepmc.org/articles/PMC5193399?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Shubhada Hooli
Tim Colbourn
Norman Lufesi
Anthony Costello
Bejoy Nambiar
Satid Thammasitboon
Charles Makwenda
Charles Mwansambo
Eric D McCollum
Carina King
spellingShingle Shubhada Hooli
Tim Colbourn
Norman Lufesi
Anthony Costello
Bejoy Nambiar
Satid Thammasitboon
Charles Makwenda
Charles Mwansambo
Eric D McCollum
Carina King
Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.
PLoS ONE
author_facet Shubhada Hooli
Tim Colbourn
Norman Lufesi
Anthony Costello
Bejoy Nambiar
Satid Thammasitboon
Charles Makwenda
Charles Mwansambo
Eric D McCollum
Carina King
author_sort Shubhada Hooli
title Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.
title_short Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.
title_full Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.
title_fullStr Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.
title_full_unstemmed Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.
title_sort predicting hospitalised paediatric pneumonia mortality risk: an external validation of risc and mrisc, and local tool development (risc-malawi) from malawi.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description Pneumonia is the leading infectious cause of under-5 mortality in sub-Saharan Africa. Clinical prediction tools may aide case classification, triage, and allocation of hospital resources. We performed an external validation of two published prediction tools and compared this to a locally developed tool to identify children admitted with pneumonia at increased risk for in-hospital mortality in Malawi.We retrospectively analyzed the performance of the Respiratory Index of Severity in Children (RISC) and modified RISC (mRISC) scores in a child pneumonia dataset prospectively collected during routine care at seven hospitals in Malawi between 2011-2014. RISC has both an HIV-infected and HIV-uninfected tool. A local score (RISC-Malawi) was developed using multivariable logistic regression with missing data multiply imputed using chained equations. Score performances were assessed using c-statistics, sensitivity, specificity, positive predictive value, negative predictive value, and likelihood statistics.16,475 in-patient pneumonia episodes were recorded (case-fatality rate (CFR): 3.2%), 9,533 with complete data (CFR: 2.0%). The c-statistic for the RISC (HIV-uninfected) score, used to assess its ability to differentiate between children who survived to discharge and those that died, was 0.72. The RISC-Malawi score, using mid-upper arm circumference as an indicator of malnutrition severity, had a c-statistic of 0.79. We were unable to perform a comprehensive external validation of RISC (HIV-infected) and mRISC as both scores include parameters that were not routinely documented variables in our dataset.In our population of Malawian children with WHO-defined pneumonia, the RISC (HIV-uninfected) score identified those at high risk for in-hospital mortality. However the refinement of parameters and resultant creation of RISC-Malawi improved performance. Next steps include prospectively studying both scores to determine if incorporation into routine care delivery can have a meaningful impact on in-hospital CFRs of children with WHO-defined pneumonia.
url http://europepmc.org/articles/PMC5193399?pdf=render
work_keys_str_mv AT shubhadahooli predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
AT timcolbourn predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
AT normanlufesi predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
AT anthonycostello predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
AT bejoynambiar predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
AT satidthammasitboon predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
AT charlesmakwenda predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
AT charlesmwansambo predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
AT ericdmccollum predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
AT carinaking predictinghospitalisedpaediatricpneumoniamortalityriskanexternalvalidationofriscandmriscandlocaltooldevelopmentriscmalawifrommalawi
_version_ 1725963379465519104