This study aimed to investigate the effect of mutations by comparing wild-type SARS-CoV-2 and Omicron regarding clinical features in patients with COVID-19. It also aimed to assess whether SARS-CoV-2 cycle threshold value could predict COVID-19 severity. A total of 960 wild-type and 411 Omicron variant patients with positive results in SARS-CoV-2 real-time reverse transcriptase polymerase chain reaction test from oropharyngeal and/or nasopharyngeal samples during their hospital admissions were included in this retrospective study. The reference symptoms of the patients were obtained from the hospital database. The correlation between chest computed tomography findings and the “cycle threshold” of patients with wild-type SARS-CoV-2 was assessed. Cough, fever, shortness of breath, loss of taste and smell, and diarrhea were found to be statistically significantly higher (p=0.001; 0.001; 0.001; 0.001; and 0.006; respectively) in the wild-type cohort, while in the Omicron cohort, sore throat and headache were found to be statistically significantly higher (p=0.001 and 0.003, respectively). An inverse relationship was found between chest computed tomography findings and viral load. This study revealed that the Omicron variant tended to infect predominantly the upper respiratory tract and showed decreased lung infectivity, and the disease progressed with a milder clinical course. Therefore, the study showed that the tropism of the virus was changed and the viral phenotype was affected. It was also found that SARS-CoV-2 viral load did not predict COVID-19 severity in patients with wild-type SARS-CoV-2.

Knowing risk factors for colistin resistance is important since colistin is the only remaining choice for the treatment of infections caused by multi-drug resistant microorganisms. Evaluate risk factors associated with infection by colistin-resistant microorganisms. Retrospective study. Tertiary healthcare centers. An e-mail including the title and purpose of the study was sent to 1500 infec.tious disease specialists via a scientific and social web portal named "infeksiyon dunyasi (infection world)". Demographic and clinical data was requested from respondents. Colistin-resistance. Eighteen infectious disease specialists from twelve tertiary care centers responded to the invitation data was collected on 165 patients, 56 cases (39.9%) and 109 (66.0%) age- and sex-matched controls. The colistin-resistant microorganisms isolated from cases were 29 Acinetobacter baumannii (51.8%), 18 Pseudomonas aeruginosa (32.1%) and 9 Klebsiella spp. Colistin, carbapenem, and quinolone use in the last three months were risk factors for colistin resistance in the univariate analysis. Previous quinolone use in the last three months (P=.003; RR:3.2; 95% Ci:1.5-6,7) and previous colistin use in the last three months (P=.001; RR: 3.6; 95% CI: 1.63-7.99) were significant risk factors in the multivariate analysis. Clinicians should limit the use of quinolones and remain aware of the possibility of resistance developing during colistin use. The lack of a heteroresistance analysis on the isolates. no data on use of a loading dose or the use of colistin in combination.

In this study, we aimed to compare the intensive care unit (ICU) admission rate of hospitalized mild/moderate COVID-19 patients treated with hydroxychloroquine (HCQ), favipiravir, and HCQ plus favipiravir. Single center retrospective designed observational study conducted in Ankara City Hospital. Patients who were hospitalized between March 15, 2020 and June 1, 2020 in COVID-19 inpatient clinics with laboratory confirmed diagnosis of COVID-19 were included in the study. An inverse probability of treatment weighting (IPTW) for multiple treatment groups approach was used to balance the differences in several variables on admission. Among 2441 patients hospitalized with diagnosis of COVID-19 during the study period, 824 were eligible for the analysis. Median age of patients was 42 (18−93 years). Among all, 347 (43.2%) of the patients had mild disease, 470 (56.8%) had pneumonia. Propensity scores ranged from 0.1841 to 0.9381 in the HCQ group, from 0.03643 to 0.29885 in the favipiravir group, and from 0.03542 to 0.56184 in the HCQ plus favipiravir group. After IPTW for multiple treatment groups was applied, all the covariates in the planned propensity score had weighted standardized effect sizes below 10% which were ranged from 0.005 to 0.092. Multivariate analysis of treatment effect (adjusted effect of treatment) was indicated that there is no statistically significant difference between HCQ, favipiravir, and HCQ plus favipiravir treatment. After using combination of SMOTE and Bootstrap resampling approach, we found no statistically significant difference between HCQ and HCQ plus favipiravir groups in terms of ICU admission. However, compared with the HCQ group, ICU admission rate was statistically significantly higher in the favipiravir group. We obtained the similar results after the sensitivity analysis. HCQ with or without favipiravir treatment is associated with reduced risk of ICU admission compared to favipiravir alone in mild to moderate COVID-19 adult patients.

Background/aim: The aim of this study is to evaluate the distribution, sources, clinical features, and mortality rates of bacteremia due to evaluation of extensively drug-resistant (XDR) gram negative among solid-organ transplant (SOT) recipients. Materials and methods: A retrospective study of SOT recipients with bacteremia due to XDR gram-negative pathogens in 11 centers between 2016 and 2018 was conducted. Patients' records were evaluated. Results: Of 171 bacteremia that occurred in 164 SOT recipients, 93 (56.7%) were liver, 46 (28%) kidney, 14 (8.5%) heart, and 11 (6.7%) lung recipients. Bacteremia episodes were recorded in the first year in 63.7% of the patients (n = 109), early-onset bacteremia was recorded in 45% (n = 77) of the episodes. In multivariate analysis, catheter-associated bacteremia was an independent risk factor for 7-day mortality (p = 0.037), and early-onset bacteremia was found as an independent risk factor for 30-day mortality (p = 0.017). Conclusion: Difficult-to-treat infections due to XDR bacteria in SOT recipients shadow the success of transplantation. Central venous catheters seem to be the main risk factor. Judicious use of medical devices is of pivotal importance.

Background: Coronavirus disease 2019 (COVID‐19) is a global health problem. However, the course of this disease in immunosuppressed patients remains unknown. This study aimed to describe the course of COVID‐19 infection and its effects on lung transplant recipients.Methods: This was a single‐center, retrospective, observational study. The recipients with suspicious symptoms and/or a contact history with infected individuals were diagnosed with COVID‐19 by performing a reverse transcription‐polymerase chain reaction (RT‐PCR) test using samples obtained from the nasopharynx swabs or bronchial lavage. We classified the patients into mild, moderate, and high severity groups according to their clinical conditions. In patients with positive RT‐PCR results, cell cycle inhibitor drugs were withdrawn, while steroids were maintained at the same level as in patients without clinical deterioration.Results: Of the seven recipients diagnosed with COVID‐19 infection, one experienced a re‐infection. Each recipient had at least one comorbidity. Smell disorder (12.5%), cough/dyspnea (37%), and fever/chills/shivering (37%) were the most frequent symptoms. The mean follow‐up time after infection was 108 days. No deaths were recorded due to COVID‐19; however, the pulmonary function test values of two recipients were decreased during subsequent follow‐ups.Conclusion: In our small group of transplant recipients with COVID‐19, there were two cases of pulmonary function deterioration and a case of re‐infection, and no recipient died. It is suggested that steroid therapy should be initiated in the early period in patients with pulmonary opacities.

Solid organ transplantation,tuberculosis,latent tuberculosis infection,interferon-gamma release test,tuberculin skin test