Laboratory Diagnostic Capacity for Fungal Infections in Nigerian Tertiary Hospitals: A Gap Analysis Survey.
West Afr J Med 2021;
Vol. 38:1065-1071. [PMID:
34919363]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND
An estimated 11.8% of Nigerians suffer from invasive fungal infections (IFIs) yearly. Laboratory capacity to diagnose IFIs in Nigeria has not been objectively assessed.
OBJECTIVE
To identify the gaps in laboratory capacity for diagnosis of IFIs in Nigerian tertiary hospitals.
METHODS
Clinical microbiologists in Nigerian tertiary hospitals were invited to partake in a 21-item online survey via a professional chat group and email. A descriptive crosssectional study of survey responses was conducted. Frequencies were computed for microscopy, culture, antifungal sensitivity, and non-culture based diagnostic modalities.
FINDINGS
Respondents were from 22 tertiary hospitals spread across the six geo-political zones of Nigeria. Gaps identified include absence of mycology laboratory/bench in 5/22 (22.7%), no access to a biosafety cabinet in 5/22 (22.7%), lack of laboratory scientists formally trained in mycology in 9/22 (40.9%), lack of participation in external quality assurance in all (100%), lack of automated blood culture facilities in 9/22 (40.9%), no yeast identification beyond germ tube test in12/22 (54.5%), and no anti-fungal sensitivity testing in 17/22 (77.3%). Galactomannan, cryptococcal antigen lateral flow assay and latex agglutination tests are used in 1(4.5%), 3 (13.6%) and 5 (22.7%) centres respectively; antigen/antibody based non-culture diagnostics were totally absent in 12/22 (54.5%) hospitals.
CONCLUSION
Nigerian tertiary hospitals have gaps in the laboratory capacity to diagnose invasive fungal infections despite the significant size of the population at risk of these life-threatening infections in the country. Economically feasible diagnostic solutions and models as well as capacity building are urgently required.
Collapse