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1.
Diagnostics (Basel) ; 13(14)2023 Jul 21.
Article in English | MEDLINE | ID: mdl-37510177

ABSTRACT

Rapid pathogen identification is key to the proper management of patients with bloodstream infections (BSIs), especially in the intensive care setting. This multicentre study compared the time to pathogen identification results in 185 patients admitted to intensive care with a confirmed BSI, using conventional methods (n = 99 patients) and upon implementation of the BIOFIRE® Blood Culture Identification 2 (BCID2) Panel, a rapid molecular test allowing for the simultaneous identification of 43 BSI-related nucleic acids targets (n = 86 patients). The median time to result informing optimal antibiotic therapy was significantly shorter following the implementation of the BCID2 Panel (92 vs. 28 h pre vs. post BCID2 implementation; p < 0.0001). BCID2 usage in addition to conventional methods led to the identification of at least one pathogen in 98.8% patients vs. 87.9% using conventional methods alone (p = 0.003) and was associated with a lower 30-day mortality (17.3% vs. 31.6%, respectively; p = 0.019). This study at three intensive care units in the United Arab Emirates therefore demonstrates that, in addition to conventional microbiological methods and an effective antimicrobial stewardship program, the BCID2 Panel could improve the clinical outcome of patients admitted to the intensive care unit with a confirmed BSI.

2.
Int J Mycobacteriol ; 9(4): 391-396, 2020.
Article in English | MEDLINE | ID: mdl-33323654

ABSTRACT

Background: The objective of this study is to determine the initial drug resistance pattern among new tuberculosis (TB) cases and assess the extent of association with human immunodeficiency virus (HIV) and diabetes mellitus (DM). Method: This is a retrospective analysis of 1116 clinical isolates were collected from patients who were newly diagnosed with TB at TB Laboratory between January 2016 and November 2019 and used for determining drug-resistance profiles against five first-line and five second-line anti-TB drugs; and the results were assessed the association between TB risk factors and primary drug resistance TB. Results: Of the 1116 newly diagnosed TB patients, 193 (17.3%) showed resistance to at least one or more of the first-line drugs by different patterns, 105 (9.4%) showed resistance to one drug, 38 (3.40%) showed polyresistance, 50 (4.5%) showed multidrug resistant (MDR), and one patient had extensively drug resistant. Mono-resistance to isoniazid (INH), STR, pyrazinamide, and rifampicin were seen in 40 (3.6%), 33 (2.95%), 29 (2.59%), and 3 (0.3%) of isolates, respectively. INH showed the highest percentage of resistance among the patients. Of 1116 newly diagnosed TB patients, 256 (22.9%) were TB-DM cases and 135 (12.9%) were TB-no DM cases. The rates of drug resistance-TB 46/1116 (4.12%), monoresistance 25 (2.24%), polyresistance 9 (0.8%), and MDR 12 (1.07%) among TB-DM group were higher than TB-no DM group. Conclusion: Our study confirms that resistance to INH was the most common phenomenon. We found that diabetes was identified as a risk factor of TB drug resistance. We did not find a significant association between HIV co-infection and TB drug-resistance.


Subject(s)
Mycobacterium tuberculosis , Tuberculosis, Multidrug-Resistant , Tuberculosis , Antitubercular Agents/therapeutic use , Drug Resistance/drug effects , Humans , Isoniazid , Microbial Sensitivity Tests , Mycobacterium tuberculosis/drug effects , Retrospective Studies , Risk Factors , Tuberculosis/drug therapy , Tuberculosis, Multidrug-Resistant/drug therapy
3.
Int J Mycobacteriol ; 8(2): 132-137, 2019.
Article in English | MEDLINE | ID: mdl-31210154

ABSTRACT

Background: The objective of this study is to assess the performance of Xpert Mycobacterium tuberculosis (MTB)/rifampin (RIF), an automated molecular test for MTB and resistance to RIF, against smear microscopy and culture method for the diagnosis of MTB infection. Methods: This is a retrospective analysis of 168 nonrespiratory patient specimens suspected of tuberculosis (TB) at TB Laboratory of Dubai Health Authority in the United Arab Emirates between September 2016 and November 2018. Each sample underwent smear microscopy, mycobacterial culture, and GeneXpert MTB/RIF test. Results: Of 168 nonrespiratory samples, 52 samples were positive by both culture and Xpert MTB/RIF, 9 samples were detected positive only by culture. Sensitivity, specificity, positive predictive value, and negative value of the Xpert MTB/RIF test were 82.69%, 100%, 100%, and 92.80%, respectively. No false positive was yielded by the Xpert MTB/RIF, and all 116 samples were true negative by Xpert MTB/RIF. The sensitivity of the Xpert MTB/RIF was 76.92% in lymph node tissue and aspirates, 66.67% in cerebrospinal fluid, 100% in gastric lavage and aspirate, 81.25% in other body fluids, 100% in pus, 85.71% in urine, and 66.67% in other tissue samples. Of 168 strains, five strains were rifampicin resistant by phenotypic and Xpert MTB/RIF and 163 were susceptible to rifampicin with culture and Xpert MTB/RIF. Conclusion: The performance of Xpert MTB/RIF assay was comparable to the gold standard culture method for identification of MTB in nonrespiratory clinical specimens. It does not replace the gold standard culture method, but it helps to achieve better sensitivity and obtain rapid results within 2 h.


Subject(s)
Drug Resistance, Bacterial , Molecular Diagnostic Techniques/standards , Mycobacterium tuberculosis/drug effects , Rifampin/pharmacology , Tuberculosis/diagnosis , Antibiotics, Antitubercular/pharmacology , Female , Humans , Lymph Nodes/microbiology , Male , Mycobacterium tuberculosis/isolation & purification , Predictive Value of Tests , Reagent Kits, Diagnostic/standards , Retrospective Studies , Sensitivity and Specificity , Tuberculosis/microbiology
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