Evaluation of mycobacterial microscopy and culture results from clinical samples: A five-year analysis.

Abstract

Introduction: Ehrlich-Ziehl-Neelsen (EZN) staining and culture methods are often used to diagnose tuberculosis. This study aimed to determine the acidfast bacteria (AFS) positivity rates in various clinical samples sent to our laboratory over five years and the growth and resistance rates in two different (solid and liquid) cultures and compare them with the data from Türkiye and the world.

Materials and methods: A total of 62.456 clinic samples were accepted in the microbiology laboratory between 2019 and 2024. The mycobacterial culture was performed by searching for acid-resistant bacilli microscopically and parallel inoculation media [solid Löwenstein-Jensen (L-J) and MGIT 960 liquid]. Those growing in the MGIT 960 system were identified using BD MGIT TBC Identification test kits that detect the MPT64 antigen. AFS and MPT64 antigenpositive samples were identified as Mycobacterium tuberculosis complex (MTBC) while AFS-positive samples and MPT64 antigen-negative results were classified as non-tuberculous mycobacteria (NTM). Drug susceptibility testing was performed with the BACTEC MGIT 960 SIRE kit. Susceptibility to NTM samples was not performed.

Result: Out of a total of 120.829 samples, 95.101 were lung samples and 25.728 were extrapulmonary samples. AFS positivity was detected in 2961 (2.4%) samples. MTBC grew in 6854 (5.6%) samples, and NTM grew in 1506 (1.24%) samples. Contamination was detected in 7171 (5.9%) media. Two thousand one hundred and sixty-nine susceptibility tests were performed. Considering antibiotic resistance rates, isoniazid resistance was detected in 154 (7%), rifampicin resistance in 140 (6.4%), ethambutol resistance in 18 (0.8%), and streptomycin resistance in 120 (0.5%) samples. All four-drug resistance was observed in 91 (4.1%) samples. AFP positivity and resistance rates for rifampicin have decreased significantly, while there have been no significant changes in NTM rates over the years.

Conclusions: When our data was determined, the sensitivity of microscopy was low. It is understood that mycobacterial culture and microscopy must be evaluated together to exclude tuberculosis infection. The high mycobacterial culture positivity rate, which is 5.6%, is due to the high number of follow-up patients and new referrals. It is seen that the change in sensitivity rates is due to the period of the COVID-19 epidemic, and it is similar to World Health Organization (WHO) data.