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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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 |
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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 |
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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. |
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Mahidol University |
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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 |
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Article |
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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 |
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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 |
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2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/29764 |
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1763488613946884096 |