Prevalence of Malaria and TB Coinfection at a National Tuberculosis Treatment Centre in Uganda.
Joseph Baruch BalukuSylvia NassoziBrian GyagendaMargret NamandaIrene Andia-BiraroWilliam WorodriaPauline Byakika-KibwikaPublished in: Journal of tropical medicine (2019)
The prevalence of malaria and tuberculosis (TB) coinfection is not well established in countries that are highly burdened for both diseases. Malaria could impair TB containment and increase mortality of TB patients. The objective of this study was to determine the prevalence of malaria/TB coinfection among bacteriologically confirmed adult TB patients at a national TB treatment centre in Uganda. Using a cross-sectional study design we enrolled 363 bacteriologically confirmed adult TB patients, and data on demographics and medical history was collected. Blood samples were tested for malaria blood smear, rapid malaria diagnostic test (RDT), complete blood count, haematological film analysis, HIV serology, and CD4+ and CD8+ cell counts. Malaria was defined as either a positive blood smear or RDT. The study participants were mostly male (61.4%), with a median age of 31 (interquartile range, IQR: 25-39) years, and 35.8% were HIV positive. The prevalence of malaria was 2.2% (8/363) on the overall and 5% (3/58) among participants with rifampicin resistance. A triple infection of HIV, malaria, and rifampicin resistant TB was observed in 3 participants. The prevalence of malaria among TB patients is low, and further evaluation of the epidemiological, clinical, and immunological interaction of the two diseases is warranted.
Keyphrases
- mycobacterium tuberculosis
- plasmodium falciparum
- hiv positive
- end stage renal disease
- pulmonary tuberculosis
- risk factors
- ejection fraction
- newly diagnosed
- chronic kidney disease
- men who have sex with men
- prognostic factors
- peritoneal dialysis
- hiv infected
- hepatitis c virus
- healthcare
- human immunodeficiency virus
- emergency department
- type diabetes
- cardiovascular disease
- machine learning
- single cell
- young adults
- south africa
- artificial intelligence
- electronic health record
- quality improvement
- sensitive detection
- patient reported
- deep learning
- room temperature
- data analysis