web analytics
medical decision support 1 medical decision support 2
Subscribe Sign In

Decision Tree of Kotepui et al for Distinguishing Malaria from Dengue Fever for a Patient in Thailand Based on the Complete Blood Count (CBC)

Description

Kotepui et al developed a decision tree for distinguishing malaria from dengue fever based on the results of a complete blood count (CBC). The authors are from Walailak University in Thailand.


Parameters:

(1) absolute neutrophil count per µL

(2) hemoglobin in g/dL

(3) absolute lymphocyte count per µL

(4) MCHC in g/dL

(5) gender

 

Findings

Diagnosis

absolute neutrophils >= 2,800 per µL

80% malaria

absolute neutrophils < 2,800 per µL; hemoglobin >= 11 g/dL

80% dengue

absolute neutrophils < 2,800 per µL; hemoglobin >= 11 g/dL; absolute lymphocyte count >= 800 per µL

90% malaria

absolute neutrophils < 2,800 per µL; hemoglobin >= 11 g/dL; absolute lymphocyte count < 800 per µL; MCHC <= 33 g/dL

100% dengue

absolute neutrophils < 2,800 per µL; hemoglobin >= 11 g/dL; absolute lymphocyte count < 800 per µL; MCHC > 33 g/dL; male

50% dengue

absolute neutrophils < 2,800 per µL; hemoglobin >= 11 g/dL; absolute lymphocyte count < 800 per µL; MCHC > 33 g/dL; female

100% malaria

 

Co-infection with both malaria and dengue fever was not identified in the study population but could occur.


To read more or access our algorithms and calculators, please log in or register.

Specialty