Candida auris is an emerging multidrug-resistant fungus that is rapidly spreading worldwide. Currently, C. auris cases have been reported globally from >30 countries. Most reported infections involve critically ill patients in hospitals, mainly in intensive care unit settings. Infection with C. auris is associated with high mortality rates, and it is often resistant to multiple classes of antifungal drugs. Despite the rapid global spread, it is difficult to predict the actual burden of the infection as the standard laboratory methods fail to correctly identify the fungi. Longer stays in healthcare facilities, use of tracheostomies and percutaneous endoscopic gastrostomy tubes, ventilators in clinical care units and mobile equipment in healthcare settings are shown as major risk factors of C. auris infection. Due to its propensity to cause outbreaks and its antifungal resistance, C. auris poses a risk for patients in healthcare facilities. The emergence of pan-resistant C. auris strains in some areas is an alarming signal for the disease with limited treatment options, high mortality rates, and the ability of the pathogen to spread easily in healthcare settings. In this regard, susceptibility testing on clinical isolates, mainly for patients treated with echinocandins, is needed. Increasing awareness about C. auris infection and advancing the diagnostic methods are also essential for early detection and control of the deadly fungal infection.

Immunologically, chronic worm infections prevent themselves from strong immune responses by skewing the host response towards a T helper 2 (Th2) type. The regulatory response initiated by helminth infections is supposed to temper responses to nonhelminth antigens including viral infections which will, in turn, alter the clinical outcomes of infections. In view of this, recent reports highlighted the possible negative associations of severe COVID-19 and helminth co-infections in helminth-endemic regions. As the pathology of COVID-19 is primarily mediated by an excessive immune response and subsequent cytokine storm, which contributes to the poor prognosis of COVID-19, helminth-driven immune modulation will hypothetically contribute to the less severe outcomes of COVID-19. Nevertheless, emerging reports also stated that COVID-19 and helminth co-infections may have more hidden outcomes than predictable ones. Herein, the current knowledge on the interaction of COVID-19 and helminth co-infections will be discussed.

Introduction Neurotropic pathogens such as Toxoplasma gondii (T. gondii) which result in chronic infections in the brain are associated with mental illnesses. In view of this, a growing body of literature has revealed the possible interaction of schizophrenia and T. gondii infection. Method A case-control study was conducted from February 2018 to January 2019 among 47 Schizophrenia patients and 47 age and sex-matched controls. Data was collected using a structured questionnaire. Serum was used for serological analysis of anti-T. gondii IgG and IgM antibodies through chemiluminescent immunoassay. Proportions and mean with standard deviations (SD) were used as descriptive measures and variables with p-values <0.05 were considered as statistically significant and independently associated with schizophrenia. Result The mean ages of schizophrenia patients and controls were 29.64 ± 5.8 yrs and 30.98 ± 7.3 yrs, respectively. We found that 81.9% (77/94) of the study subjects had a positive anti-T. gondii IgG antibody. While the difference is statistically insignificant, schizophrenic patients have a marginally higher seroprevalence of toxoplasmosis than controls (87.2% vs 80.9%; p = 0.398). Schizophrenia cases who live in homes with soil floors have a significantly higher T. gondii infection as compared to those who live in homes with cement/ceramic floors (90.9% vs 33.3%; p = 0.004). Furthermore, there was a significantly lower T. gondii infection among schizophrenic cases who were taking antipsychotic medication for more than three yrs (79.3% vs 100.0%, p = 0.039). On the other hand, among all study subjects who have T. gondii infection, subjects who are addicted to khat and alcohol were about seven times more likely to develop schizophrenia (71.4% vs 47.7%, OR = 7.13, p = 0.024). Conclusion Our data is not sufficient to show a significant positive correlation between T. gondii infection and schizophrenia. For study subjects with T. gondii infection, addiction to khat and alcohol is one of the risk factors for schizophrenia.

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Background The inconsistent use of antiretroviral therapy can lead to the risk of cross-resistance between drugs. This reduces subsequent antiretroviral drug options. The burden of initial antiretroviral therapy ranges from 11.3% in South Africa to 71.8% in Malaysia. There is evidence that it is important to maintain children’s initial antiretroviral therapy regimens. However, the incidence and predictive factors of initial antiretroviral therapy regimen changes in the research context are still unknown in the study setting. So, the study was aimed to assess incidence and predictors of initial antiretroviral therapy regimen changes among children in public health facilities of Bahir Dar city. Methods A retrospective follow-up study was conducted in 485 children who received antiretroviral therapy between January 1, 2011 and December 30, 2020. These children were selected using simple random sampling techniques. The data were entered by Epi data 3.1 and the analysis was completed by STATA 14.0. The missing data was treated with multiple imputation method. The data were also summarized by median or mean, interquartile range or standard deviation, proportion and frequency. The survival time was determined using the Kaplan Meier curve. The Cox Proportional Hazard model was fitted to identify predictors of initial antiretroviral therapy regimen change. The global and Shoenfeld graphical proportional hazard tests were checked. Any statistical test was considered significant at P-value < 0.05. Finally, the data were presented in the form of tables, graphics and text. Result Among the 459 study participants, 315 of them underwent initial regimen changes during the study accumulation period. The shortest and longest follow up time of the study were 1 month and 118 months, respectively. The overall incidence rate of initial regimen change was 1.85, 95% CI (1.66–2.07) per 100 person-month observation and the median follow up time of 49 (IQR 45, 53) months. The independent predictors of initial regimen changes were poor adherence (AHR = 1.49, 95%CI [1.16, 1.92]), NVP based regimen (AHR = 1.45, 95%CI [1.15, 1.84]) comparing to EFV based regimen, LPVr based regimen (AHR = 0.22, 95%CI: (0.07, 0.70)) comparing to EFV based regimen, history of tuberculosis (AHR = 1.59, 95%CI [1.14, 2.23]) and being male (AHR = 1.28, 95%CI [1.02, 1.60]). Conclusions and recommendations In this study, the incidence of initial regimen change was high. The risk of initial regimen change would be increased by being male, poor adherence, having history of tuberculosis and NVP based initial regimen. Therefore, strengthening the health care providers’ adherence counseling capability, strengthening tuberculosis screening and prevention strategies and care of initial regimen type choice needs attention in the HIV/AIDS care and treatment programs.