Triazole drugs are widely used in cancer patients for prophylaxis and treatment of life-threatening invasive fungal infections. Fluconazole, available for over two decades, is safe and effective in patients with cancer; however, the excellent safety profile of fluconazole may not be applicable to the newer triazoles. Itraconazole, voriconazole and posaconazole are associated with adverse events, and drug interactions frequently occur, particularly in cancer patients, since the triazoles and many drugs used in cancer chemotherapy are metabolized via a common metabolic pathway, the hepatic cytochrome P450 system. Close monitoring for drug interactions is needed when triazoles are used with anti-neoplastic drugs and dosage modification of the triazole or its discontinuation may be required. Monitoring of triazole serum concentrations is becoming an important aspect of management to minimize toxicity and ensure efficacy.

The spectrum of invasive fungal infections (IFIs) continues to evolve with the emergence of rare and resistant fungal pathogens. Clinicians are faced with difficult diagnostic and treatment challenges in the management of immunocompromised patients at high risk of developing IFIs. Early and appropriate antifungal therapy is essential for a successful outcome when treating invasive mycoses. The armamentarium of antifungal drugs continues to grow; the three main classes of commonly administered drugs are the polyenes, azoles and echinocandins. The newer triazoles and the echinocandins have changed primary treatment options for some fungal infections, such as aspergillosis and candidiasis. However, despite their toxic potential, the oldest antifungal drugs, polyenes, remain useful in the treatment of IFIs because of their broad-spectrum activity, low rates of resistance and established clinical record, particularly in immunocompromised patients with breakthrough fungal infections. This review highlights important issues in the treatment of IFIs for consideration by clinicians.

The efficacy and renal safety of amphotericin B lipid complex (ABLC) were assessed in 398 patients with invasive aspergillosis. The most common under

Background: Hospitalization of patients infected with the severe acute respiratory syndrome virus 2 (SARS-CoV-2) have remained considerable worldwide. Patients often develop severe complications and have high mortality rates. The cycle threshold (Ct) value derived from nasopharyngeal swab samples using real time polymerase chain reaction (RT-PCR) may be a useful prognostic marker in hospitalized patients with SARS-CoV-2 infection, however, its role in predicting the course of the pandemic has not been evaluated thus far. Methods: We conducted a retrospective cohort study which included all patients who had a nasopharyngeal sample positive for SARS-CoV-2 between April 4 –June 5, 2020. The Ct value was used to estimate the number of viral particles in a patient sample. The trend in initial viral load on admission on a population level was evaluated. Moreover, patient characteristics and outcomes stratified by viral load categories were compared and initial viral load was assessed as an independent predictor of intubation and in-hospital mortality. Results: A total of 461 hospitalized patients met the inclusion criteria. This study consisted predominantly of acutely infected patients with a median of 4 days since symptom onset to PCR. As the severity of the pandemic eased, there was an increase in the percentage of samples in the low initial viral load category, coinciding with a decrease in deaths. Compared to an initial low viral load, a high initial viral load was an independent predictor of in-hospital mortality (OR 5.5, CI 3.1–9.7, p < 0.001) and intubation (OR 1.82 CI 1.07–3.11, p = 0.03), while an initial intermediate viral load was associated with increased risk of inpatient mortality (OR 1.9, CI 1.14–3.21, p = 0.015) but not with increased risk for intubation. Conclusion: The Ct value obtained from nasopharyngeal samples of hospitalized patients on admission may serve as a prognostic marker at an individual level and may help predict the course of the pandemic when evaluated at a population level.