A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services

© The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. Background Management of severe malaria with limited resources requires comprehensive planning. Expected length of stay (LOS) and the factors influencing it are useful in the planning and optim...

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Main Authors: Claire M. Keene, Arjen Dondorp, Jane Crawley, Eric O. Ohuma, Mavuto Mukaka
Other Authors: University of Oxford
Format: Article
Published: 2019
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/46322
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spelling th-mahidol.463222019-08-23T18:43:39Z A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services Claire M. Keene Arjen Dondorp Jane Crawley Eric O. Ohuma Mavuto Mukaka University of Oxford Mahidol University Medicine © The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. Background Management of severe malaria with limited resources requires comprehensive planning. Expected length of stay (LOS) and the factors influencing it are useful in the planning and optimisation of service delivery. Methods A secondary, competing-risk approach to survival analysis was performed for 1217 adult severe malaria patients from the South-East Asia Quinine Artesunate Malaria Trial. Results Twenty percent of patients died; 95.4% within 7 days compared to 70.3% of those who were discharged. Median time to discharge was 6 days. Compared to quinine, artesunate increased discharge incidence (subdistribution-Hazard ratio, 1.24; [95% confidence interval 1.09-1.40]; P =.001) and decreased incidence of death (0.60; [0.46-0.80]; P <.001). Low Glasgow coma scale (discharge, 1.08 [1.06-1.11], P <.001; death, 0.85 [0.82-0.89], P <.001), high blood urea-nitrogen (discharge, 0.99 [0.99-0.995], P <.001; death, 1.00 [1.00-1.01], P =.012), acidotic base-excess (discharge, 1.05 [1.03-1.06], P <.001; death, 0.90 [0.88-0.93], P <.001), and development of shock (discharge, 0.25 [0.13-0.47], P <.001; death, 2.14 [1.46-3.12], P <.001), or coma (discharge, 0.46 [0.32-0.65], P <.001; death, 2.30 [1.58-3.36], P <.001) decreased cumulative incidence of discharge and increased incidence of death. Conventional Kaplan-Meier survival analysis overestimated cumulative incidence compared to competing-risk model. Conclusions Clinical factors on admission and during hospitalisation influence LOS in severe malaria, presenting targets to improve health and service efficiency. Artesunate has the potential to increase LOS, which should be accounted for when planning services. In-hospital death is a competing risk for discharge; an important consideration in LOS models to reduce overestimation of risk and misrepresentation of associations. 2019-08-23T11:43:39Z 2019-08-23T11:43:39Z 2018-09-14 Article Clinical Infectious Diseases. Vol.67, No.7 (2018), 1053-1062 10.1093/cid/ciy211 15376591 10584838 2-s2.0-85053898948 https://repository.li.mahidol.ac.th/handle/123456789/46322 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053898948&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
spellingShingle Medicine
Claire M. Keene
Arjen Dondorp
Jane Crawley
Eric O. Ohuma
Mavuto Mukaka
A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services
description © The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. Background Management of severe malaria with limited resources requires comprehensive planning. Expected length of stay (LOS) and the factors influencing it are useful in the planning and optimisation of service delivery. Methods A secondary, competing-risk approach to survival analysis was performed for 1217 adult severe malaria patients from the South-East Asia Quinine Artesunate Malaria Trial. Results Twenty percent of patients died; 95.4% within 7 days compared to 70.3% of those who were discharged. Median time to discharge was 6 days. Compared to quinine, artesunate increased discharge incidence (subdistribution-Hazard ratio, 1.24; [95% confidence interval 1.09-1.40]; P =.001) and decreased incidence of death (0.60; [0.46-0.80]; P <.001). Low Glasgow coma scale (discharge, 1.08 [1.06-1.11], P <.001; death, 0.85 [0.82-0.89], P <.001), high blood urea-nitrogen (discharge, 0.99 [0.99-0.995], P <.001; death, 1.00 [1.00-1.01], P =.012), acidotic base-excess (discharge, 1.05 [1.03-1.06], P <.001; death, 0.90 [0.88-0.93], P <.001), and development of shock (discharge, 0.25 [0.13-0.47], P <.001; death, 2.14 [1.46-3.12], P <.001), or coma (discharge, 0.46 [0.32-0.65], P <.001; death, 2.30 [1.58-3.36], P <.001) decreased cumulative incidence of discharge and increased incidence of death. Conventional Kaplan-Meier survival analysis overestimated cumulative incidence compared to competing-risk model. Conclusions Clinical factors on admission and during hospitalisation influence LOS in severe malaria, presenting targets to improve health and service efficiency. Artesunate has the potential to increase LOS, which should be accounted for when planning services. In-hospital death is a competing risk for discharge; an important consideration in LOS models to reduce overestimation of risk and misrepresentation of associations.
author2 University of Oxford
author_facet University of Oxford
Claire M. Keene
Arjen Dondorp
Jane Crawley
Eric O. Ohuma
Mavuto Mukaka
format Article
author Claire M. Keene
Arjen Dondorp
Jane Crawley
Eric O. Ohuma
Mavuto Mukaka
author_sort Claire M. Keene
title A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services
title_short A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services
title_full A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services
title_fullStr A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services
title_full_unstemmed A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services
title_sort competing-risk approach for modeling length of stay in severe malaria patients in south-east asia and the implications for planning of hospital services
publishDate 2019
url https://repository.li.mahidol.ac.th/handle/123456789/46322
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