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Open Access Highly Accessed Research

Laboratory markers of disease severity in Plasmodium knowlesi infection: a case control study

Matthias Willmann12, Atique Ahmed2, Angela Siner2, Ing Tien Wong3, Lu Chan Woon4, Balbir Singh2, Sanjeev Krishna25 and Janet Cox-Singh26*

Author Affiliations

1 Institute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany

2 Malaria Research Centre, University Malaysia Sarawak, Kuching, Sarawak, Malaysia

3 Hospital Sibu, Sibu, Sarawak, 96000, Malaysia

4 Pathology Laboratory, Hospital Sarikei, Sarikei, Sarawak, 96100, Malaysia

5 Division of Clinical Sciences, St. George’s, University of London, London, UK

6 School of Medicine, University of St Andrews, Medical and Biological Sciences Building, North Haugh, St Andrews, KY16 9TF, Fife, UK

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Malaria Journal 2012, 11:363  doi:10.1186/1475-2875-11-363

Published: 30 October 2012

Abstract

Background

Plasmodium knowlesi malaria causes severe disease in up to 10% of cases in Malaysian Borneo and has a mortality rate of 1 - 2%. However, laboratory markers with the ability to identify patients at risk of developing complications have not yet been assessed as they have for other species of Plasmodium.

Methods

A case control study was undertaken in two hospitals in Sarikei and Sibu, Malaysian Borneo. One hundred and ten patients with uncomplicated (n = 93) and severe (n = 17) P. knowlesi malaria were studied. Standardized pigment-containing neutrophil (PCN) count, parasite density and platelet counts were determined and analysed by logistic regression and receiver operating characteristic (ROC) analysis.

Results

The PCN count was strongly associated with risk of disease severity. Patients with high parasite density (≥ 35,000/μl) or with thrombocytopaenia (≤ 45,000/μl) were also more likely to develop complications (odds ratio (OR) = 9.93 and OR = 5.27, respectively). The PCN count yielded the highest area under the ROC curve (AUC) estimate among all markers of severity (AUC = 0.8561, 95% confidence interval: 0.7328, 0.9794). However, the difference between all parameter AUC estimates was not statistically significant (Wald test, p = 0.73).

Conclusion

Counting PCN is labour-intensive and not superior in predicting severity over parasitaemia and platelet counts. Parasite and platelet counts are simpler tests with an acceptable degree of precision. Any adult patient diagnosed with P. knowlesi malaria and having a parasite count ≥35,000/μl or ≥1% or a platelet count ≤45,000/μl can be regarded at risk of developing complications and should be managed according to current WHO guidelines for the treatment of severe malaria.

Keywords:
Plasmodium knowlesi; Severity markers; Malaria pigment; Parasitaemia; Platelet count