title: Light-emitting diode fluorescence microscopy for tuberculosis diagnosis: a meta-analysis.
abstract: Light-emitting diode fluorescence microscopy (LED-FM) is recommended by the World Health Organization to replace conventional Ziehl-Neelsen microscopy for pulmonary tuberculosis diagnosis. Uptake of LED-FM has been slow. One reason is its reported loss of specificity compared with Ziehl-Neelsen microscopy. We aimed to determine the diagnostic accuracy of LED-FM for tuberculosis detection and explore potential factors that might affect its performance.A comprehensive search strategy based on pre-specified criteria was employed to identify eligible studies between January 1, 2000 and April 1, 2014 in 11 databases. Standardised study selection, data extraction and quality assessment were conducted. Pooled sensitivity and specificity of LED-FM using culture as the reference standard were estimated through meta-analyses using a bivariate random-effects model. Investigation of heterogeneity was performed by subgroup analyses.We identified 12 unique studies, half of which were from peripheral healthcare facilities. LED-FM achieved a pooled sensitivity of 66.9% (95% CI 60.5-72.7%) and pooled specificity of 96.8% (95% CI 93.1-98.6%). A pooled sensitivity of 53.0% (95% CI 42.8-63.0%) and pooled specificity of 96.1% (95% CI 86.0-99.0%) were obtained by LED-FM among HIV-infected patients. Study methodology factors and differences in the LED-FM procedure or device could also affect the performance.LED-FM specificity is high and should not be a barrier to device introduction, particularly among peripheral healthcare settings where this technology is meant to be used. Sensitivity is reduced in HIV-infected patients.
authors.affiliation: Harvard Medical School, Boston, MA, USA eva_chang@hms.harvard.edu.
authors.forename: Eva W
authors.initials: EW
authors.lastname: Chang
authors.affiliation: Epicentre, Paris, France.
authors.forename: Anne-Laure
authors.initials: AL
authors.lastname: Page
authors.affiliation: Epicentre, Paris, France.
authors.forename: Maryline
authors.initials: M
authors.lastname: Bonnet
mesh_terms: D015658:HIV Infections / Q000150:complications / Q000382:microbiology; D006801:Humans; D008856:Microscopy, Fluorescence / Q000592:standards*; D009169:Mycobacterium tuberculosis / Q000302:isolation & purification*; D012680:Sensitivity and Specificity; D013183:Sputum / Q000382:microbiology*; D014397:Tuberculosis, Pulmonary / Q000175:diagnosis*; D014944:World Health Organization