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Sukanya Sudhaharan , Naga Appala Raju Sundarapu, Umabala Pamidimukkala ,
Volume 18, Issue 5 (Sep-Oct 2024)
Abstract

Background: The reference method for antifungal susceptibility testing is broth microdilution according to Clinical and Laboratory Standard Institute (CLSI) guidelines. However, the fully automated system, Vitek 2C system may reduce the workload and observer bias associated with manual broth microdilution. This study aimed to compare the results of YS08 card with the results of the broth microdilution (BMD) method.
Methods: A total of 50 clinical Candida isolates were included in the study. The susceptibility testing was done by Vitek 2C using the YS08 card. Broth microdilution was done according to CLSI guidelines M27M44S-Ed3.
Results: For C. albicans, the categorical agreement was 85.8%, 71.5%, 85.8%, and 100% for fluconazole, voriconazole, caspofungin, and micafungin, respectively. The minor errors (MiE) of 14.2% for fluconazole and caspofungin, 28.5% for voriconazole, were detected in C. albicans. In C. glabrata, the categorical agreement (CA) was 100% for micafungin, voriconazole, but 63.7% for caspofungin. An MiE of 36.3% was detected for caspofungin. C. parapsilosis showed a 100% CA for fluconazole, caspofungin, and micafungin, and 85.8% for voriconazole. There were 14.2% of MiEs for voriconazole. In C. tropicalis, 100 % CA was observed for fluconazole, micafungin, and caspofungin, and 88.9% for voriconazole. Moreover, 11.1% (1/9) of MiEs was observed for voriconazole. In C. auris, there was a 100% CA for caspofungin and micafungin, 77.8% for fluconazole, and 66.7% for amphotericin B. There was a major error of 22.2% for fluconazole and 33.3% for amphotericin B.
Conclusion: The majority of Vitek 2C showed comparable results with the broth microdilution (BMD) method. Only minor errors (MiEs) were observed in the tested Candida species.

Priyadarshini Kumaraswamy Rajeswaran , Preethi Muthusamy Sundar, Prasanna Nedungadi Kumar, Karthikeyan Shanmugam,
Volume 19, Issue 3 (May-Jun 2025)
Abstract

Background: Several hematological indicators have been linked to the intensity and course of Coronavirus Disease of 2019 (COVID-19), including platelets, total white blood cell (WBC) count, lymphocytes, neutrophils (as well as the neutrophil-lymphocyte and platelet-lymphocyte ratios), and hemoglobin. The purpose of this study was to assess the utility of cell population data (CPD) of lymphocyte and monocyte parameters in the early diagnosis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection.
Methods: The baseline complete blood count examination was performed for 222 patients with positive results for COVID-19 (case group) and 161 patients with negative results for COVID-19 (control group). Lymphocyte and monocyte CPD were calculated in both groups. The independent t-test was used to compare the mean values between the two groups. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the discriminating capacity of the individual parameters.
Results: The analysis revealed that Standard Deviations of Monocyte Volume (SDMV) and Standard Deviations of Lymphocyte Conductivity (SDLC) showed the highest significance in predicting SARS-CoV-2 infection. Moreover, SDMV had a sensitivity of 93.7% and SDLC had a sensitivity of 80.6% at cut-off values of 22.25 and 10.9, respectively. In the case group, 49 of the 222 patients treated in the intensive care units (ICUs) showed a higher SDMV compared with the remaining 173 patients who were asymptomatic, or mildly symptomatic (P-value <0.03).
Conclusion: Our study demonstrates that SDMV and SDLC can serve as reliable and cost-effective markers for early prediction of SARS-CoV-2 infection. Furthermore, SDMV shows potential as a prognostic biomarker. These findings highlight the potential utility of CPD parameters in COVID-19 diagnosis and prognosis.


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