Charles Darwin University

CDU eSpace
Institutional Repository

 
CDU Staff and Student only
 

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

Hanson, Josh, Lee, Sue J., Mohanty, Sanjib, Faiz, Md Abul, Anstey, Nicholas M., Charunwatthana, Prakaykaew, Yunus, Emran Bin, Mishra, Saroj, Tjitra, Emiliana, Price, Ric N., Rahman, Ridwanur, Nosten, Francois, Htut, Ye, Hoque, Gofranul, Chau, Tran Thi Hong, Phu, Nguyen Hoan, Hien, Tran Tinh, White, Nicholas J., Day, Nicholas P. J. and Dondorp, Arjen M. (2010). A Simple score to predict the outcome of severe malaria in adults. Clinical Infectious Diseases,50(5):679-685.

Document type: Journal Article

IRMA ID 81704288xPUB58
Title A Simple score to predict the outcome of severe malaria in adults
Author Hanson, Josh
Lee, Sue J.
Mohanty, Sanjib
Faiz, Md Abul
Anstey, Nicholas M.
Charunwatthana, Prakaykaew
Yunus, Emran Bin
Mishra, Saroj
Tjitra, Emiliana
Price, Ric N.
Rahman, Ridwanur
Nosten, Francois
Htut, Ye
Hoque, Gofranul
Chau, Tran Thi Hong
Phu, Nguyen Hoan
Hien, Tran Tinh
White, Nicholas J.
Day, Nicholas P. J.
Dondorp, Arjen M.
Journal Name Clinical Infectious Diseases
Publication Date 2010
Volume Number 50
Issue Number 5
ISSN 1058-4838   (check CDU catalogue  open catalogue search in new window)
Start Page 679
End Page 685
Total Pages 6
Place of Publication Chicago
HERDC Category C1 - Journal Article (DIISR)
Abstract 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.
DOI http://dx.doi.org/10.1086/649928   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
Versions
Version Filter Type
Access Statistics: 26 Abstract Views  -  Detailed Statistics
Created: Fri, 17 Jan 2014, 00:40:50 CST