Rapid Tetra-Primer Amplification Refractory Mutation System-Polymerase Chain Reaction Protocol for Detection of Y132F Mutation in Fluconazole Resistant Candida parapsilosis.

There is an emerging fluconazole resistance in Candida parapsilosis in recent years. The leading mechanism causing azole resistance in C. parapsilosis is the Y132F codon alteration in the ERG11 gene which encodes the target enzyme of azole drugs. In this study, we evaluated the sensitivity, compatibility, and specificity of a novel tetra-primer amplification refractory mutation system-polymerase chain reaction (T-ARMS-PCR) method for rapid detection of the Y132F mutation in fluconazole nonsusceptible C. parapsilosis. Antifungal susceptibility tests for detection of fluconazole resistance were performed by broth microdilution according to the CLSI guidelines. All susceptible and nonsusceptible C. parapsilosis isolates were analyzed for ERG11 mutations with Sanger sequencing. T-ARMS-PCR was fully concordant with the Sanger sequencing (100% of sensitivity and specificity) for detection of Y132F mutations. T-ARMS-PCR method could be a rapid, simple, accurate, and economical assay in the early detection of the most common cause of fluconazole resistance in C. parapsilosis isolates. In routine laboratories with high C. parapsilosis isolation rates, performing the T-ARMS-PCR for early detection of the most common reason of fluconazole resistance in C. parapsilosis, could be a life-saving approach for directing antifungal therapy before obtaining the definitive antifungal susceptibility tests results.

COVID-19-associated mucormycosis: a systematic review and meta-analysis of 958 cases.

BACKGROUND: Mucormycosis, a rare fungal infection, has shown an increase in the number of reported cases during the COVID-19 pandemic. OBJECTIVES: To provide a comprehensive insight into the characteristics of COVID-19-associated mucormycosis, through a systematic review and meta-analysis. METHODS OF DATA SYNTHESIS: Demographic information and clinical features were documented for each patient. Logistic regression analysis was used to predict the risk of mortality. DATA SOURCES: PubMed, Scopus, Web of Science, Cochrane, CINAHL, Ovid MEDLINE, and FungiSCOPE. STUDY ELIGIBILITY CRITERIA: Studies reporting individual-level information in patients with adult COVID-19-associated mucormycosis (CAM) between 1 January 2020 and 28 December 2022. PARTICIPANTS: Adults who developed mucormycosis during or after COVID-19. INTERVENTIONS: Patients with and without individual clinical variables were compared. ASSESSMENT OF RISK OF BIAS: Quality assessment was performed based on the National Institutes of Health quality assessment tool for case series studies. RESULTS: Nine hundred fifty-eight individual cases reported from 45 countries were eligible. 88.1% (844/958) were reported from low- or middle-income countries. Corticosteroid use for COVID-19 (78.5%, 619/789) and diabetes (77.9%, 738/948) were common. Diabetic ketoacidosis (p < 0.001), history of malignancy (p < 0.001), underlying pulmonary (p 0.017), or renal disease (p < 0.001), obesity (p < 0.001), hypertension (p 0.040), age (>65 years) (p 0.001), Aspergillus coinfection (p 0.037), and tocilizumab use during COVID-19 (p 0.018) increased the mortality. CAM occurred on an average of 22 days after COVID-19 and 8 days after hospitalization. Diagnosis of mucormycosis in patients with Aspergillus coinfection and pulmonary mucormycosis was made on average 15.4 days (range, 0-35 days) and 14.0 days (range, 0-53 days) after hospitalization, respectively. Cutaneous mucormycosis accounted for <1% of the cases. The overall mortality rate was 38.9% (303/780). CONCLUSION: Mortality of CAM was high, and most reports were from low- or middle-income countries. We detected novel risk factors for CAM, such as older age, specific comorbidities, Aspergillus coinfection, and tocilizumab use, in addition to the previously identified factors.

Investigation of the computer experiences and attitudes of pre-service mathematics teachers: new evidence from Turkey.

This study aimed to investigate the experiences of pre-service mathematics (PSM) teachers with computers and their attitudes toward them. The Computer Attitude Scale, Computer Competency Survey, and Computer Use Information Form were administered to 180 Turkish PSM teachers. Results revealed that most PSM teachers used computers at home and at Internet cafes, and that their competency was generally intermediate and upper level. The study concludes that PSM teachers' attitudes about computers differ according to their years of study, computer ownership, level of computer competency, frequency of computer use, computer experience, and whether they had attended a computer-aided instruction course. However, computer attitudes were not affected by gender.