scholarly journals Impact of the SARS-CoV-2 Pandemic in Candidaemia, Invasive Aspergillosis and Antifungal Consumption in a Tertiary Hospital

2021 ◽  
Vol 7 (6) ◽  
pp. 440
Author(s):  
Juan Vicente Mulet Bayona ◽  
Nuria Tormo Palop ◽  
Carme Salvador García ◽  
Begoña Fuster Escrivá ◽  
Mercedes Chanzá Aviñó ◽  
...  

In addition to the increase in fungal infections that has been observed in the last few decades, it has been reported that severe clinical COVID-19 can increase the risk of invasive fungal infections. The main objective of this study was to evaluate if there had been an increase in candidaemia and invasive pulmonary aspergillosis (IPA) cases since the onset of the SARS-CoV-2 pandemic. Data were retrospectively collected from April 2019 to March 2021, from patients admitted to Consorcio Hospital General Universitario de Valencia (Spain). A total of 152 candidaemia cases (56 of which were due to Candida auris) and 108 possible IPA cases were detected. A great increase in candidaemia cases was produced during the first and the third epidemic waves of the SARS-CoV-2 pandemic (June 2020, and January 2021, respectively), while an increase in IPA cases was produced during the third wave. The 28-day mortality rates in patients affected by candidaemia and IPA increased in 2020 and 2021. C. auris has displaced the other Candida species, becoming the most isolated Candida species in blood cultures since the onset of the SARS-CoV-2 pandemic. Antifungal consumption increased in 2020 when compared to 2019, especially echinocandins, voriconazole and isavuconazole.

2021 ◽  
Vol 7 (2) ◽  
pp. 130
Author(s):  
Nathan P. Wiederhold

Invasive infections caused by Candida that are resistant to clinically available antifungals are of increasing concern. Increasing rates of fluconazole resistance in non-albicans Candida species have been documented in multiple countries on several continents. This situation has been further exacerbated over the last several years by Candida auris, as isolates of this emerging pathogen that are often resistant to multiple antifungals. T-2307 is an aromatic diamidine currently in development for the treatment of invasive fungal infections. This agent has been shown to selectively cause the collapse of the mitochondrial membrane potential in yeasts when compared to mammalian cells. In vitro activity has been demonstrated against Candida species, including C. albicans, C. glabrata, and C. auris strains, which are resistant to azole and echinocandin antifungals. Activity has also been reported against Cryptococcus species, and this has translated into in vivo efficacy in experimental models of invasive candidiasis and cryptococcosis. However, little is known regarding the clinical efficacy and safety of this agent, as published data from studies involving humans are not currently available.


2018 ◽  
Vol 12 (02.1) ◽  
pp. 33S
Author(s):  
Lyn Awad ◽  
Hani Tamim ◽  
Ahmad Ibrahim ◽  
Dania Abdallah ◽  
Mohammad Salameh ◽  
...  

Introduction: Recently there has been a significant increase in the incidence of fungal infections attributed to Candida species worldwide, with a major shift toward non-albicans Candida (NAC). Herein, we described the distribution of Candida species among different departments in a Lebanese hospital and calculated the antifungal consumption in this facility. We, then, correlated the consumption of antifungals and the prevalence of Candida species. Methodology: This was a retrospective study of Candida isolates recovered from the hospital microbiology laboratory database between 2010 and 2015. Data on antifungal consumption between 2008 and 2015 were extracted from the hospital pharmacy database. Spearman's coefficient was employed to find a correlation between Candida species distribution and antifungal consumption. Results: The highest antifungal consumption was seen in the haematology/oncology department (days of therapy/1000 patient days = 348.12 ± 85.41), and the lowest in the obstetrics department (1.36 ± 0.47). The difference in antifungal consumption among various departments was statistically significant (p < 0.0001). Azoles were the most common first-line antifungals. A non-homologous distribution of albicans vs. non-albicans was noted among different departments (p = 0.02). The most commonly isolated NAC was Candida glabrata, representing 14% of total isolates and 59% of NAC. The total antifungal consumption correlated positively with the emergence of NAC. The use of azoles correlated positively with Candida glabrata, while amphotericin B formulations correlated negatively with it. None of these correlations reached statistical significance. Conclusion: Different Candida species were unequally distributed among different hospital departments, and this correlated with consumption of antifungals in respective departments, highlighting the need for antifungal stewardship.


Hypatia ◽  
1997 ◽  
Vol 12 (3) ◽  
pp. 29-45 ◽  
Author(s):  
Catherine M. Orr
Keyword(s):  

Hypatia ◽  
1997 ◽  
Vol 12 (3) ◽  
pp. 100-115
Author(s):  
David Golumbia
Keyword(s):  

Author(s):  
A.G. Filipova ◽  
A.V. Vysotskaya

The article presents the results of mathematical experiments with the system «Social potential of childhood in the Russian regions». In the structure of system divided into three subsystems – the «Reproduction of children in the region», «Children’s health» and «Education of children», for each defined its target factor (output parameter). The groups of infrastructure factors (education, health, culture and sport, transport), socio-economic, territorial-settlement, demographic and en-vironmental factors are designated as the factors that control the system (input parameters). The aim of the study is to build a model îf «Social potential of childhood in the Russian regions», as well as to conduct experiments to find the optimal ratio of the values of target and control factors. Three waves of experiments were conducted. The first wave is related to the analysis of the dynam-ics of indicators for 6 years. The second – with the selection of optimal values of control factors at fixed ideal values of target factors. The third wave allowed us to calculate the values of the target factors based on the selected optimal values of the control factors of the previous wave.


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