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Introduction: Although the existence of Candida species in the respiratory tract is often considered commensal, it is crucial to recognize the significance of Candida colonization in immunocompromised or COVID-19 patients. The emergence of Candida auris as an emerging pathogen further emphasizes the importance of monitoring yeast infection/colonization, particularly in COVID-19 patients. Methods: In this study, respiratory samples mainly from COVID-19 patients, primarily those suspected of having a fungal infection, were cultured on Sabouraud dextrose agar plates and the yeast colonies were identified using a two-step multiplex PCR method. The samples suspected of C. auris underwent specific nested PCR followed by sequence analysis. Results: A total of 199 respiratory samples were collected from 73 women and 126 men, ranging in age from 1.6 to 88 years. Among the patients, 141 had COVID-19, 32 had cancer, 5 were hospitalized in ICU, 2 had chronic obstructive pulmonary disease)COPD(, and others were patients with combination diseases. From these samples, a total of 334 yeast strains were identified. C. albicans (n=132, 39.52%) was the most common species, followed by C. tropicalis (n=67, 20%), C. glabrata (n=56, 16.76%), C. krusei (n=18, 5.4%), C. parapsilosis (n=17, 5.08%), Saccharomyces cerevisiae (n=10, 3%), C. kefyr (n=9, 2.6%), C. dubliniensis (n=7, 2.1%), C. lusitaniae (n=5, 1.5%), C. auris (n=3, 0.9%), C. guilliermondii (n=2, 0.6%), C. rugosa (n=1, 0.3%), C. intermedia (n=1, 0.3%), and Trichosporon spp. (n=1, 0.3%). C. auris was detected in a patient in ICU and two COVID-19 patients. While its presence was confirmed through sequence analysis, our extensive efforts to isolate C. auris were unsuccessful. Conclusion: While C. albicans colonization remains prevalent, our study found no evidence of Candida lung infection. Since the role of Candida colonization in airway secretions remains ambiguous due to limited research, further studies are imperative to shed light on this matter. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic has affected human beings worldwide. After recovery from the disease, the pulmonary function and physiological characteristics of COVID-19 patients are not well documented. The current study aims to assess post-COVID-19 lung function, anxiety, depression, and sleep quality within three months after recovery from the disease. Materials and Methods: Ninety-seven patients (21 outpatients and 76 inpatients) with COVID-19 were followed three months after recovery. They were divided into two groups according to the severity of the disease. The spirometric parameters included FEV1, FVC, and FEV1/FVC. A 6-minute walk test (6-MWT) was recorded. Besides, sleep quality using Pittsburgh Sleep Quality Index (PSQI) and mood status in two dimensions of anxiety and depression using the Hospital Anxiety and Depression Scale (HADS) were compared between the groups. Results: More than 70% of the studied population presented at least one of the COVID-19 infection-related symptoms within three months after recovery. spirometric measurements revealed non-significant differences between the patients with severe versus non-severe COVID-19 in terms of FVC (P=0.805), FEV1 (P=0.948), FEV1/FVC (P=0.616), and 6MWT (P=0.409). Based on PSQI, sleep quality was significantly associated with the severity of disease (P=0.031), but HADS assessments were not significant (P>0.05). Conclusion: This study demonstrated that a significant proportion of COVID-19 patients have corona symptoms and abnormal pulmonary function tests three months after recovery. Besides, sleep quality was considerably affected by the severity of the disease and was directly associated with the post-COVID-19 mood of the patients. It seems necessary to consider and control the long-term consequences of this infection regardless of the disease severity. [ABSTRACT FROM AUTHOR]

Background: Since December 2019, the world is struggling with an outbreak of coronavirus disease-2019 (COVID-19) infection mostly represented as an acute respiratory distress syndrome and has turned into the most critical health issue worldwide. Limited information is available about the association between dynamic changes in the naso/oropharyngeal viral shedding in infected patients and biomarkers, aiming to be assessed in the current study. Materials and Methods: This quasi-cohort study was conducted on 31 patients with moderate severity of COVID-19 manifestations, whose real-time polymerase chain reaction (RT-PCR) test was positive for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) RNA at baseline. RT-PCR was rechecked for patients every 3–4 days until achieving two negative ones. In parallel, biomarkers, including lymphocyte count, lactate dehydrogenase (LDH), and C-reactive protein (CRP), were assessed every other day, as well. Viral shedding also was assessed. Results: Spearman's correlation test revealed a significant direct correlation between the viral shedding from the symptom onset and the time, in which CRP (P = 0.0015, r = 0.54) and LDH (P = 0.001, r = 0.6207) return to normal levels after symptom onset, but not for lymphocyte count (P = 0.068, r = 0.34). Conclusion: Based on the current study's findings, the duration of SARS-CoV-2 RNA shedding was directly correlated with the required time for LDH and CRP return to normal levels. Therefore, these factors can be considered the determinants for patients' discharge, isolation, and return to social activities; however, further investigations are required to generalize the outcomes. [ABSTRACT FROM AUTHOR]

Background: Non-small cell lung cancer (NSCLC) patients with COVID-19 have an excessive chance of morbidity and mortality. The fecal-nasopharyngeal microbiota compositions of NSCLC patients were assessed in this study. Methods: In total, 234 samples were collected from 17 NSCLC patients infected with COVID-19, 20 NSCLC patients without confirmed COVID-19, 40 non NSCLC patients with COVID-19, and 40 healthy individuals. Results: In lung microbiota, the abundance of Streptococcus spp. in NSCLC patients with confirmed COVID-19 was significantly higher than the two control groups. Pseudomonas aeruginosa and Staphylococcus aureus were listed as the most frequent pulmonary bacterial groups that colonized COVID-19 patients. In fecal specimens, the numbers of Bacteroidetes, Firmicutes, and Actinobacteria phyla were significantly higher amongst NSCLC patients with COVID-19. NSCLC patients infected with COVID-19 showed lower levels of Lactobacillus spp., Akkermansia muciniphila, and Bifidobacterium spp. The counts of Streptococcus spp., in NSCLC patients with COVID-19 were significantly higher than those of healthy individuals (8.49 ± 0.70 log CFU/g wet feces vs 8.49 ± 0.70 log CFU/g wet feces). Prevotella spp. were enriched in the gut and respiratory tracts of COVID-19 patient groups. The unbiased analysis showed an increment in Enterococcus spp., Streptococcus spp., and Prevotella spp. Conclusion: Eventually, it was found that compared to control groups, COVID-19 patients with NSCLC showed diminished gut bacteria diversity and increase in Lactobacillus spp., A. muciniphila, and Bifidobacterium spp. The overgrowth of Enterococcus spp., Streptococcus spp., and Prevotella spp. could be potential predictive biomarkers in the gut-lung axis of NSCLC patients with COVID-19. [ABSTRACT FROM AUTHOR]

Background: Bloodstream infections are serious complications in neutropenic cancer patients. There has been a universal pickup in multidrug resistant (MDR) strains. For individuals who are at high risk for infections caused by MDR bacteria, a novel de-escalation strategy has been developed. Determine the bacterial spectrum and antibiotic resistance pattern in febrile neutropenic cancer patients was the goal of this investigation., Materials and Methods: From 2019 to 2020, 60 cancer patients with febrile neutropenia who were sent to Isfahan's Omid Hospital were included in this retrospective analysis. Experiments were done on the antimicrobial susceptibility of isolated bacterial infections., Results: The patients' average age was 43.35±15.59 years. Ninety-one percent (55/61) of the 60 patients had hematologic malignancies, and 8.3 percent (5/61) had solid tumors. The majority of the germs were gram-negative bacteria (66.7 percent). E. coli was the pathogen that was isolated the most frequently (26.7%), followed by Klebsiella (16.7 percent). In addition, the most prevalent identified Gram-positive bacteria was Staphylococcus epidermidis (21.7 percent). Third-generation cephalosporin (ESBL-E) resistance was present in 50% of E. coli, along with 50% resistance to cotrimoxazole, ciprofloxacin, and piperacillin, 31% resistance to amikacin, and 20% resistance to meropenem (CRE). They had an 80% sensitivity to amikacin and a 70% sensitivity to ciprofloxacin. Ten percent of our patients had antibiotic resistance in the antibiogram (XDR)., Conclusion: In summary, most bacterial infections were resistant to different medications. The emergence and spread of Gram-negative bacteria that are resistant to antibiotics can be stopped by prudent antibiotic use., Competing Interests: None., (IJBMB Copyright © 2023.)

Background: COVID-19 is associated with higher mortality rates in patients with cancer. In this study, we aimed to evaluate the clinical outcomes, and laboratory and imaging data of patients with solid tumor infected with COVID-19 infection., Methods: This is a cross-sectional retrospective study performed in 2020-2022 on 85 patients with a previous diagnosis of solid tumors infected with COVID-19. We included all patients with tumors of solid organs that were diagnosed with COVID-19 infection and required hospitalization those patients previously hospitalized for treatments and were infected with COVID-19 during hospitalization. Demographic data of patients were collected using a checklist. We collected data regarding clinical outcome (discharge, hospitalization or death), duration of hospitalization, requiring ICU admission, duration of hospitalization divided by received drugs and type of tumor and mean survival time. Furthermore, we collected laboratory data from all patients. The radiologic characteristics of patients were also extracted from their data., Results: Breast cancer was the most common solid tumor (34.9%), followed by lung cancer (19.3%). The mortality rate was 24.1% (20 patients). The highest mortality rate in this study was for metastatic intestinal cancer to the lung (100%, one patient), followed by metastatic prostatic cancer to lung (50%, three patients). The highest hospitalization duration was for patients with glioblastoma multiform (GBM) (30 days). The mean survival time among patients with mortality was 19.15±1.80 days. The mean CT severity score of all patients was 27.53±22.90. Patient's most common radiologic sign was air space consolidation (89.1%). The highest CT severity score was found in patients with stomach cancer (46.67±5.77)., Conclusion: The mortality rate in this study was 24.1%. Based on the results of our study and previous research, special care should be provided to patients with solid tumors during the COVID-19 pandemic and in infected cases., Competing Interests: None., (IJBMB Copyright © 2022.)