Coronavirus disease 2019 (COVID-19) has resulted in long-term psychiatric symptoms because of the immunologic response to the virus itself as well as fundamental life changes related to the pandemic. This immune response leads to altered tryptophan (TRP)–kynurenine (KYN) pathway (TKP) metabolism, which plays an essential role in the pathophysiology of mental illnesses. We aimed to define TKP changes as a potential underlying mechanism of psychiatric disorders in post-COVID-19 patients. We measured plasma levels of several TKP markers, including KYN, TRP, kynurenic acid (KYNA), 3-hydroxykynurenine (3-HK), and quinolinic acid (QUIN), as well as the TRP/KYN, KYNA/3-HK, and KYNA/QUIN ratios, in 90 post-COVID-19 patients (on the first day of hospitalization) and 59 healthy controls (on the first admission to the Check-Up Center). An online questionnaire that included the Depression, Anxiety and Stress Scale-21 (DASS-21) was used 6 months after the initial assessment in both groups. A total of 32.2% of participants with COVID-19 showed depressive symptoms, 21.1% exhibited anxiety, and 33.3% had signs of stress at follow-up, while 6.6% of healthy controls exhibited depressive and anxiety symptoms and 18.6% had signs of stress. TRP and 3-HK were negative predictors of anxiety and stress, but KYN positively predicted anxiety and stress. Moreover, TRP negatively predicted depression, while KYNA/3-HK was a negative predictor of anxiety. The correlation between depression, anxiety, and stress and TKP activation in COVID-19 could provide prospective biomarkers, especially the reduction in TRP and 3HK levels and the increase in KYN. Our results suggest that the alteration of TKP is not only a potential biomarker of viral infection-related long-term psychiatric disorders but also that the therapy targets future viral infections related to depression and anxiety. Supplementary Information The online version contains supplementary material available at 10.1007/s00702-022-02525-1.

Objective: We aimed to investigate the vaccination status and the risk factors for the intensive care unit (ICU) support need of the laboratory-confirmed breakthrough COVID-19 infection inpatients. Materials and Methods: This multi-center point-prevalence study was conducted on inpatients, divided into two groups as ‘fully’ and ‘partially’ vaccinated according to COVID-19 vaccination status. Results: Totally 516 patients were included in the study. The median age was 65 (55-77), and 53.5% (n=276) of the patients were male. Hypertension (41.9%, n=216), diabetes mellitus (DM) (31.8%, n=164), and coronary artery disease (CAD) (16.3%, n=84) were the predominant comorbidities. Patients were divided into two groups ICU (n=196) and non-ICU (n=301). Hypertension (p=0.026), DM (p=0.048), and congestive heart failure (CHF) (p=0.005) were significantly higher in ICU patients and the median age was younger among non-ICU patients (p=0.033). Of patients, 16.9% (n=87) were fully vaccinated, and this group’s need for ICU support was statistically significantly lower (p=0.021). Conclusion: We conclude that older age, hypertension, DM, CHF, and being partially vaccinated were associated with the need for ICU support. Therefore, all countries should continuously monitor post-vaccination breakthrough COVID-19 infections to determine the national booster vaccine administration approach that will provide vulnerable individuals the highest protection. Keywords: COVID-19 vaccine, intensive care unit, risk factor, SARS-CoV-2 infection, vaccine breakthrough infections, variant of concerns

Objective: Candidemia is the most common form of invasive candidiasis, and it is associated with end-organ involvement, prolonged hospitalization, increased mortality, and higher healthcare costs. Candidemia can lead to metastatic heart and ocular infections. This study aimed to define the incidence, characteristics, and mortality of candidemia episodes and compare the data with our center’s previous results. Materials and Methods: In this single-center retrospective observational study, we enrolled 250 patients over 18 years diagnosed with candidemia between January 2015 and December 2020. We obtained patients’ demographic, clinical, laboratory, and therapeutic data from medical records. An ophthalmologic examination and screening with echocardiography were carried out within the first week after candidemia diagnosis. Results: There were 275 candidemia episodes from 250 patients. The incidence of candidemia was 2.8/1000 admissions and 5.68/ 10,000 inpatient days, higher than our previous results (1.23/1000 and 3.29/10,000). The median age was 65 (interquartile range [IQR]=52-75) years. Malignancies were the most frequent comorbidity (50%). The most common type was Candida albicans (n=115, 41.8%). Candida glabrata (n=61, 22.2%) was common, particularly in surgical patients, patients with malignancy, and critically ill patients. There was Infectious disease consultation in 93.3% (257) episodes. The ophthalmoscopic examination was made in 145 episodes (52.7%), and ophthalmitis was detected in 16 (11.0%). Echocardiography was performed in 139 (50.5%) episodes; one case had an endocarditis diagnosis. The 30-day mortality was 44.7% (n=123). Mortality rates in C. glabrata and Candida krusei infections were higher (54.1% and 66.7). The factors related to mortality were intensive care unit requirement (p=0.0001), chronic liver disease (p=0.005), corticosteroid usage (p=0.0001), previous antibiotic usage (p=0.013), multiple antibiotic usage (p=0.020), and CVC related candidemia (p=0.010). Conclusion: Because of the life-threatening complications such as endocarditis, increased mortality rates, and higher healthcare costs, systematic and comprehensive candidemia bundle applications would be effective strategies for providing an effective antifungal stewardship program. Keywords: Candidemia, mortality, ophthalmitis, endocarditis, bundle

The use of infection biomarkers in the emergency department is discussed in terms of their possible contributions to diagnostic-prognostic uncertainties, appropriate antibiotic treatments, and triage and follow-up planning. Procalcitonin (PCT), C-reactive protein (CRP), proadrenomedullin (proADM), and presepsin are among the most discussed infection biomarkers for use in the emergency department. Due to the variable sensitivity results and cutoff values, there are insufficient data to recommend the widespread use of CRP and procalcitonin (PCT) for the diagnosis and prognosis of infection in the emergency department. However, these biomarkers can be used for appropriate antibiotic use in selected infection groups, such as community-acquired pneumonia, especially to reduce unnecessary antibiotic prescribing. With its prognostic superiority over other biomarkers and its contribution to prognostic score systems in community-acquired pneumonia (CAP), proADM can be used to predict hospitalization, preferably within the scope of clinical studies. Although presepsin has been shown to have some advantages over other biomarkers to rule out sepsis, there are insufficient data for its clinical use in the emergency department.