A simple score to predict the outcome of severe malaria in adults

Background. World Health Organization treatment guidelines recommend that adults with severe malaria be admitted to an intensive care unit (ICU). However, ICU facilities are limited in the resource-poor settings where most malaria occurs. Identification of patients at greater risk of complications m...

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Main Authors: Josh Hanson, Sue J. Lee, Sanjib Mohanty, M. A. Faiz, Nicholas M. Anstey, Prakaykaew Charunwatthana, Emran Bin Yunus, Saroj K. Mishra, Emiliana Tjitra, Ric N. Price, Ridwanur Rahman, Francois Nosten, Ye Htut, Gofranul Hoque, Tran Thi Hong Chau, Nguyen Hoan Phu, Tran Tinh Hien, Nicholas J. White, Nicholas P.J. Day, Arjen M. Dondorp
Other Authors: Mahidol University
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Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/29764
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spelling th-mahidol.297642018-09-24T16:33:18Z A simple score to predict the outcome of severe malaria in adults Josh Hanson Sue J. Lee Sanjib Mohanty M. A. Faiz Nicholas M. Anstey Prakaykaew Charunwatthana Emran Bin Yunus Saroj K. Mishra Emiliana Tjitra Ric N. Price Ridwanur Rahman Francois Nosten Ye Htut Gofranul Hoque Tran Thi Hong Chau Nguyen Hoan Phu Tran Tinh Hien Nicholas J. White Nicholas P.J. Day Arjen M. Dondorp Mahidol University Shoklo Malaria Research Unit Churchill Hospital Ispat Hospital Sir Salimullah Medical College Shaheed Sharwardhy Medical College Chittagong Medical College Menzies School of Health Research Badan Penelitian Dan Pengembangan Kesehatan, Kementerian Kesehatan Republik Indonesia Ministry of Health UCL Medicine Background. World Health Organization treatment guidelines recommend that adults with severe malaria be admitted to an intensive care unit (ICU). However, ICU facilities are limited in the resource-poor settings where most malaria occurs. Identification of patients at greater risk of complications may facilitate their triage and resource allocation. Methods. With use of data from a trial conducted in Southeast Asia (n = 868), a logistic regression model was built to identify independent predictors of mortality among adults with severe malaria. A scoring system based on this model was tested in the original dataset and then validated in 2 series from Bangladesh (n = 188) and Vietnam (n = 292). Results. Acidosis (base deficit) and cerebral malaria (measured as Glasgow Coma Score) were the main independent predictors of outcome. The 5-point Coma Acidosis Malaria (CAM) score was simply derived from these 2 variables. Mortality increased steadily with increasing score. A CAM score <2 predicted survival with a positive predictive value (PPV) of 95.8% (95% confidence interval [CI], 93%- 97.7%). Of the 14 of 331 patients who died with a CAM score <2, 11 (79%) had renal failure and death occurred late after hospital admission (median, 108 h; range, 40-360 h). Substitution of plasma bicarbonate as the measure of acidosis only slightly reduced the prognostic value of the model. Use of respiratory rate was inferior, but a score <2 still predicted survival with a PPV of 92.2% (95% CI, 89.1%-94.7%). Conclusions. Patients with a CAM score <2 at hospital admission may be safely treated in a general ward, provided that renal function can be monitored. © 2010 by the Infectious Diseases Society of America. All rights reserved. 2018-09-24T09:33:18Z 2018-09-24T09:33:18Z 2010-03-01 Article Clinical Infectious Diseases. Vol.50, No.5 (2010), 679-685 10.1086/649928 10584838 2-s2.0-76749157116 https://repository.li.mahidol.ac.th/handle/123456789/29764 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=76749157116&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
Josh Hanson
Sue J. Lee
Sanjib Mohanty
M. A. Faiz
Nicholas M. Anstey
Prakaykaew Charunwatthana
Emran Bin Yunus
Saroj K. Mishra
Emiliana Tjitra
Ric N. Price
Ridwanur Rahman
Francois Nosten
Ye Htut
Gofranul Hoque
Tran Thi Hong Chau
Nguyen Hoan Phu
Tran Tinh Hien
Nicholas J. White
Nicholas P.J. Day
Arjen M. Dondorp
A simple score to predict the outcome of severe malaria in adults
description Background. World Health Organization treatment guidelines recommend that adults with severe malaria be admitted to an intensive care unit (ICU). However, ICU facilities are limited in the resource-poor settings where most malaria occurs. Identification of patients at greater risk of complications may facilitate their triage and resource allocation. Methods. With use of data from a trial conducted in Southeast Asia (n = 868), a logistic regression model was built to identify independent predictors of mortality among adults with severe malaria. A scoring system based on this model was tested in the original dataset and then validated in 2 series from Bangladesh (n = 188) and Vietnam (n = 292). Results. Acidosis (base deficit) and cerebral malaria (measured as Glasgow Coma Score) were the main independent predictors of outcome. The 5-point Coma Acidosis Malaria (CAM) score was simply derived from these 2 variables. Mortality increased steadily with increasing score. A CAM score <2 predicted survival with a positive predictive value (PPV) of 95.8% (95% confidence interval [CI], 93%- 97.7%). Of the 14 of 331 patients who died with a CAM score <2, 11 (79%) had renal failure and death occurred late after hospital admission (median, 108 h; range, 40-360 h). Substitution of plasma bicarbonate as the measure of acidosis only slightly reduced the prognostic value of the model. Use of respiratory rate was inferior, but a score <2 still predicted survival with a PPV of 92.2% (95% CI, 89.1%-94.7%). Conclusions. Patients with a CAM score <2 at hospital admission may be safely treated in a general ward, provided that renal function can be monitored. © 2010 by the Infectious Diseases Society of America. All rights reserved.
author2 Mahidol University
author_facet Mahidol University
Josh Hanson
Sue J. Lee
Sanjib Mohanty
M. A. Faiz
Nicholas M. Anstey
Prakaykaew Charunwatthana
Emran Bin Yunus
Saroj K. Mishra
Emiliana Tjitra
Ric N. Price
Ridwanur Rahman
Francois Nosten
Ye Htut
Gofranul Hoque
Tran Thi Hong Chau
Nguyen Hoan Phu
Tran Tinh Hien
Nicholas J. White
Nicholas P.J. Day
Arjen M. Dondorp
format Article
author Josh Hanson
Sue J. Lee
Sanjib Mohanty
M. A. Faiz
Nicholas M. Anstey
Prakaykaew Charunwatthana
Emran Bin Yunus
Saroj K. Mishra
Emiliana Tjitra
Ric N. Price
Ridwanur Rahman
Francois Nosten
Ye Htut
Gofranul Hoque
Tran Thi Hong Chau
Nguyen Hoan Phu
Tran Tinh Hien
Nicholas J. White
Nicholas P.J. Day
Arjen M. Dondorp
author_sort Josh Hanson
title A simple score to predict the outcome of severe malaria in adults
title_short A simple score to predict the outcome of severe malaria in adults
title_full A simple score to predict the outcome of severe malaria in adults
title_fullStr A simple score to predict the outcome of severe malaria in adults
title_full_unstemmed A simple score to predict the outcome of severe malaria in adults
title_sort simple score to predict the outcome of severe malaria in adults
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/29764
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