Background: Novel coronavirus disease of 2019 (COVID-19) is the current pandemic causing massive morbidity and mortality worldwide. The gold standard diagnostic method in use is reverse transcription–polymerase chain reaction (RT-PCR) which cannot be solely relied upon. Computed tomography (CT) scan is a method currently used for diagnosis of lung disease and can play a substantial role if proved helpful in COVID-19 diagnosis. We conducted this study to evaluate the diagnostic value of CT scan compared to RT-PCR in the diagnosis of COVID-19. Materials and Methods: We recruited 291 hospitalized patients suspicious of COVID-19 according to typical clinical findings during February–March 2020. The patients underwent CT-scan and RT-PCR procedures on the day of hospital admission. CT scans were reported by two radiologists as typical, indeterminate, negative, and atypical. Statistical indices were calculated twice: once considering “typical” and “indeterminate” categories as positive and the other time counting “typical” results as positive. Results: The CT reports were classified as typical (64.95%), indeterminate (10.31%), atypical (11%), and negative (13.75%). Considering “typical” and “intermediate” as positive, sensitivity and specificity were 85.3% and 38.8%, respectively, and using the second assumption, the mentioned indices were 75.9% and 50.4%, respectively. Conclusion: According to our study, CT results do not create enough diagnostic benefit and could result in incorrect confidence if negative. Since widely available, CT integration in the clinical process may be helpful in screening of suspected patients in epidemics. Yet, suspected patients should be isolated till confirmed by (multiple) PCRs.

Background: Due to widespread of coronavirus disease 2019 (COVID-19) infection, identification of its risk factors and clinical characteristics are important. The aim of the present study was to assess Vitamin D levels in individuals with severe acute respiratory syndrome coronavirus-19 infection and to report on its potential as a predictive marker. Materials and Methods: All patients, diagnosed with COVID-19 infection from February 16 to March 21, 2020, and referred to Firoozgar Hospital, Tehran, Iran, were enrolled in this study. Vitamin D analysis was undertaken on patient serum samples using a commercial kit (Pars Azmoon Co., Tehran, Iran). SPSS v. 22 was used for statistical analysis. Results: Vitamin D serum concentration was analyzed in a total of 317 patients whose mean age ± standard deviation was 62.05 ± 15 years and with 62.5% being male. A significant association of Vitamin D level and death was observed. Higher levels of serum Vitamin D had protection against death (odds ratio = 0.955 [95% confidence interval = 0.923–0.988], P = 0.008). Conclusion: As a preliminary study in the Iranian population who suffered COVID-19 disease, we identified that Vitamin D deficiency was associated with a higher death rate and intensive care unit admission.

Background: Melanoma is one of the most invasive cutaneous cancers with characteristics such as rapid progression and distant metastasis. The early diagnosis and staging of melanoma can help better manage the patients. The current study is aimed to assess the values of microRNA-10b (miRNA-10b) in the discrimination of metastatic melanomas. Materials and Methods: The current cross-sectional study has been conducted on forty patients diagnosed with melanoma since 2011. Cell culture of melanoma cell lines derived from the cancerous tissue, including WM115, BLM, K1735, WM793, and A375M, was cultured. In order to assess miRNA-10b levels, the real-time polymerase chain reaction was utilized. The absence (n = 20)/presence (n = 20) of metastasis was diagnosed with chest computed tomography or chest X-ray. The values of miRNA-10b for the discrimination of metastasis incidence were assessed. Results: The demographic characteristics, including age and gender of the metastatic and nonmetastatic patients, were similar (P > 0.05). The specimen cultures were positive for miRNA-10b in 14 (35%) of the metastatic cases versus 4 (20%) of the nonmetastatic ones (P = 0.004). The quantitative analysis of miR-2b revealed significantly higher levels in metastatic cases (−1.59 ± 1.13 in metastatic vs. −0.16 ± 0.67 in nonmetastatic cases; P = 0.001). The measured area under the curve for the value of miRNA-10b was 0.923 (P < 0.001; 95% confidence interval: 0.811–1) with sensitivity and specificity of 100% and 94.4%. Conclusion: Based on this study, metastatic melanoma was associated with elevated levels of miRNA-10b. This marker had the sensitivity and specificity of 100% and 94.4% for the discrimination of metastatic melanoma from nonmetastatic ones.

Background: Candidemia is a fatal invasive fungal infection that involves thousands of patients annually and is associated with high mortality rate and economic burden. The incidence of candidemia is increasing due to the use of invasive medical instruments and immunosuppressive drugs. The treatment of infection is problematic because of the increased resistance of clinical strains to antifungal drugs. The aim of the present study was to identify Candida species isolated from candidemia and determination of antifungal susceptibility patterns of clinical isolates. Materials and Methods: Three thousand eight hundred BACTEC bottles suspected to candidemia were evaluated from April 2019 to June 2020. For primary identification, a positive blood culture was subcultured onto the sabouraud glucose agar and CHROMagar^™ Candida. For molecular identification, ITS1-5.8SrDNA-ITS2 region was amplified by ITS1 and ITS4 primers and MspI restriction enzyme was applied to digest polymerase chain reaction amplicons. Minimum inhibitory concentration of seven antifungals was determined against clinical isolates by broth microdilution method in accordance with the Clinical and Laboratory Standards Institute M27-A3 and M27-S4 documents. Results: Forty-six out of 3800 suspected specimens were positive for candidemia (1.2%). The age range of the patients was between 11 days and 89 years, with a median age of 34.8 years. Candida albicans was found to be the most Candida species (58.7%), followed by C. parapsilosis complex (19.6%), C. glabrata complex (8.7%), C. krusei (6.5%), C. famata (4.3%), and C. tropicalis (2.2%). Resistance to amphotericin B, fluconazole, itraconazole, and voriconazole was detected in 13.6%, 11.3%, 6.8%, and 4.5% of clinical isolates, respectively. Conclusion: The incidence of non-albicans Candida species is increasing that must be highlighted. Since resistant Candida strains are found repeatedly, consecutive tracing of the species distribution and in vitro antifungal susceptibility of clinical isolates is recommended for better management of infections.

Background: Small-for-gestational-age (SGA) is one of the most important conditions, which is associated with the risk of perinatal mortality and morbidity. The levels of pregnancy-associated plasma protein A (PAPP-A) and β-human-derived chorionic gonadotrophic (β-hCG) in the first trimester can predict this adverse outcome, considering the controversial nature of studies in this area, this cohort study was conducted to investigate the role of PAPP-A and freeβ-hCG levels for predicting SGA. Materials and Methods: In this cohort study, from 16 randomly selected health centers in Isfahan, Iran, 4605 volunteer pregnant women who had performed first-trimester fetal anomalies screening tests were chosen based on the census, from July 2016 to June 2018. The multiples of the median (MoM) PAPP-A <0.4 and MoM β-hCG >3 were considered as abnormal; the samples were followed up after childbirth. The biomarkers' serum levels, relative risk, and odds ratio (OR) of SGA were compared in both SGA and appropriate for gestational age (AGA) groups. Results: In the SGA group, the mean of MOM PAPP-A was significantly lower (0.96 vs. 1.1 with P = 0.001) and MoM βhCG was significantly higher (1.24 vs. 1.15 with P = 0.01) than the AGA group. Odds for SGA in subjects with MoM PAPP-A <0.4 were 3.213; P = 0.001 and for subjects with MoM βhCG >3 reported as 0.683; P = 0.111. Conclusion: The results of the study showed that the low levels of PAPP-A would cause 3.213 times increase in the chance of developing SGA and no association between high level of βhCG >3 with SGA. Therefore, low level of the PAPP-A is a warning indicator for SGA.