Cargando…
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
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 perfor...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137114/ https://www.ncbi.nlm.nih.gov/pubmed/29562258 http://dx.doi.org/10.1093/cid/ciy211 |
_version_ | 1783355122137432064 |
---|---|
author | Keene, Claire M Dondorp, Arjen Crawley, Jane Ohuma, Eric O Mukaka, Mavuto |
author_facet | Keene, Claire M Dondorp, Arjen Crawley, Jane Ohuma, Eric O Mukaka, Mavuto |
author_sort | Keene, Claire M |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6137114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61371142018-09-24 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 Keene, Claire M Dondorp, Arjen Crawley, Jane Ohuma, Eric O Mukaka, Mavuto Clin Infect Dis Articles and Commentaries 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. Oxford University Press 2018-10-01 2018-03-19 /pmc/articles/PMC6137114/ /pubmed/29562258 http://dx.doi.org/10.1093/cid/ciy211 Text en © The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles and Commentaries Keene, Claire M Dondorp, Arjen Crawley, Jane Ohuma, Eric O Mukaka, Mavuto 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 | 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_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_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 |
topic | Articles and Commentaries |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137114/ https://www.ncbi.nlm.nih.gov/pubmed/29562258 http://dx.doi.org/10.1093/cid/ciy211 |
work_keys_str_mv | AT keeneclairem acompetingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices AT dondorparjen acompetingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices AT crawleyjane acompetingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices AT ohumaerico acompetingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices AT mukakamavuto acompetingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices AT keeneclairem competingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices AT dondorparjen competingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices AT crawleyjane competingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices AT ohumaerico competingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices AT mukakamavuto competingriskapproachformodelinglengthofstayinseveremalariapatientsinsoutheastasiaandtheimplicationsforplanningofhospitalservices |