Yeast species in the respiratory samples of COVID-19 patients; molecular tracking of Candida auris.

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.

Cross-platform gene expression profiling of breast cancer: Exploring the relationship between breast cancer grades and gene expression pattern.

Gene expression profiling is a powerful tool that has been extensively used to investigate the underlying biology and etiology of diseases, including cancer. Microarray gene expression analysis enables simultaneous measurement of thousands of mRNA levels. Sophisticated computational approaches have evolved in parallel with the rapid progress in bioassay technologies, enabling more effective analysis of the large and complex datasets that these technologies produce. In this study, we utilized systems biology approaches to examine gene expression profiles across different grades of breast cancer progression. We conducted a meta-analysis of publicly available microarray data to elucidate the molecular mechanisms underlying breast cancer grade classification. Our results suggest that while grade index is commonly used for evaluating cancer progression status in the clinic, the complexity of molecular mechanisms, histological characteristics, and other factors related to patient outcomes raises doubts about the utility of breast cancer grades as a foundation for formulating treatment protocols. Our study underscores the importance of advancing personalized strategies for breast cancer classification and management. More research is crucial to refine diagnostic tools and treatment modalities, aiming for greater precision and tailored care in patient outcomes.

Multiple Hydatid Cysts in Rare Locations Treated with Albendazole: A Case Report.

Hydatid cyst is a common disease between humans and animals. Foods that are contaminated with eggs of echinococcal species are the cause of hydatid disease. Although this parasite affects different organs, the liver and lungs are very susceptible but the cardiac hydatid disease is very rare. We report the case of a 33-year-old man admitted because of chest pain. Echocardiography had shown suspected round cyst in the myocardium. More diagnostic managements had demonstrated cystic lesion in the liver, spleen and lungs. There were also multiple cystic lesions in both lungs. He refused surgery and was taken to medical therapy. Myocardial involvement by hydatid cysts occurs very rarely. The main treatment approach for cardiac hydatid disease in patients should be surgery. The alternative treatment was done to those who refused surgical removal, adjuvant therapy such as albendazole for at least 1-6 months. Because myocardial involvement by hydatid cysts is uncommon, we decided to report this rare case.

Efficacy of plasmapheresis in neutropenic patients suffering from cytokine storm because of severe COVID-19 infection.

Background: With the emergence of the coronavirus disease 2019 (COVID-19) and inability of healthcare systems to control the disease, various therapeutic theories with controversial responses have been proposed. Plasmapheresis was administered as a medication. However, the knowledge of its efficacy and indications is inadequate. This study evaluated the use of plasmapheresis in critically ill patients with cancer. Methods: This randomized clinical trial was conducted on 86 patients with malignancies, including a control group (N=41) and an intervention group (N=45) with severe COVID-19 during 2020-21. Both groups were treated with routine medications for COVID-19 management according to national guidelines, and plasmapheresis was applied to the intervention group. C-reactive protein (CRP), D-dimer, ferritin, lactate dehydrogenase, hemoglobin, and white blood cell, polymorphonuclear, lymphocyte, and platelet levels were measured at admission and at the end of plasmapheresis. Other variables included neutrophil recovery, intensive care unit admission, intubation requirements, length of hospital stay, and hospitalization outcomes. Results: CRP(P<0.001), D-dimer (P<0.001), ferritin (P=0.039), and hemoglobin (P=0.006) levels were significantly different between the groups after the intervention. Neutrophil recovery was remarkably higher in the case than in the control group (P<0.001). However, plasmapheresis did not affect the length of hospital stay (P=0.076), which could have significantly increased survival rates (P<0.001). Conclusion: Based on the study findings, plasmapheresis led to a significant improvement in laboratory markers and survival rate in patients with severe COVID-19. These findings reinforce the value of plasmapheresis in cancer patients as a critical population suffering from neutropenia and insufficient immune responses.

A Comprehensive Review on Electrochemical Nano Biosensors for Precise Detection of Blood-Based Oncomarkers in Breast Cancer.

Breast cancer (BC), one of the most common and life-threatening cancers, has the highest incidence rate among women. Early diagnosis of BC oncomarkers is considered the most effective strategy for detecting and treating BC. Finding the type and stage of BC in women as soon as possible is one of the greatest ways to stop its incidence and negative effects on medical treatment. The development of biosensors for early, sensitive, and selective detection of oncomarkers has recently attracted much attention. An electrochemical nano biosensor (EN) is a very suitable option for a powerful tool for cancer diagnosis. This comprehensive review provides information about the prevalence and pathobiology of BC, recent advances in clinically available BC oncomarkers, and the most common electrochemical nano biosensors for point-of-care (POC) detection of various BC oncomarkers using nanomaterial-based signal amplification techniques.

New-onset lung sarcoidosis, an adverse event by COVID-19 or a sign of convalescence; a case report.

Key Clinical Message: Sarcoidosis is a systemic inflammatory disease able to affect any organ within the body. Sarcoidosis may be the body's secondary response to COVID-19 infection and a sign of rehabilitation. Early response to the treatments reinforces this hypothesis. The majority of sarcoidosis patients require immunosuppressive therapies, including corticosteroids. Abstract: Most studies so far have focused on the management of COVID-19 in patients suffering from sarcoidosis. Nevertheless, the current report aims to present a COVID-19-induced sarcoidosis case. Sarcoidosis is a systemic inflammatory disease with granulomas. Still, its etiology is unknown. It often affects the lungs and lymph nodes. A previously healthy 47-year-old female was referred with the following chief complaints: atypical chest pain, dry cough, and dyspnea on exertion within a month after COVID-19 infection. Accordingly, a chest computed tomography revealed multiple conglomerated lymphadenopathies in the thoracic inlet, mediastinum, and hila. A core-needle biopsy from the nodes revealed non-necrotizing granulomatous inflammation, sarcoidal type. The sarcoidosis diagnosis was proposed and confirmed by a negative purified protein derivative (PPD) test. Accordingly, prednisolone was prescribed. All symptoms were relieved. A control lung HRCT was taken 6 months later, showing the lesions had disappeared. In conclusion, sarcoidosis may be the body's secondary response to COVID-19 infection and a sign of disease convalescence.

Bacterial Superinfection and Antibiotic Management in Patients with COVID-19 Admitted to Intensive Care Medicine in Central Iran: A Follow-Up Study.

Background: Bacterial superinfections are one of the crucial challenges in patients with coronavirus disease 2019 (COVID-19) that are associated with a high mortality rate. The current study was designed to assess bacterial superinfections and antibiotic management in COVID-19 patients admitted to intensive care unit (ICU). Material and Methods: Seventy-three adult intubated patients with COVID-19 were included in a cross-sectional study. The lung aspirate samples were collected in two stages and assessed for bacterial growth by standard methods. Antimicrobial susceptibility testing was performed using the Kirby-Bauer method as recommended by the Clinical Laboratory Standard Institute guideline (2021 edition). Also, demographic and clinical data were collected. The statistical analysis was done by chisquare test and Student's t-test, and a P value <0.05 was considered significant. Results: Forty men and thirty-three women with a mean age of 64.78 ± 13.90 have included in our study. The mean length of hospitalization and stay in ICU were 18.77 ± 12.94 and 13.51 ± 9.83 days, respectively; 84.9% of cases died. Thirty-three patients had a bacterial superinfection mainly caused by Klebsiella spp and Acinetobacter spp; 21.2% of piperacillin/tazobactam consumers' patients survived that; the differences were significant (p = 0.034). A significant relationship was seen between superinfection and length of hospital stay until intubation (p = 0.033). Conclusion: Bacterial superinfection and mortality rates were relatively high in COVID-19 patients admitted to ICU. According to the results, using beta-lactam/beta-lactamase inhibitors antibiotics in hospitalized patients in ICU can effectively control superinfection.

Molecular and microscopy detection of Pneumocystis jirovecii in hospitalized patients during the COVID-19 pandemic.

Introduction: Early detection of Pneumocystis jirovecii as an opportunistic pathogen that may endanger predisposed persons, including COVID-19 patients, may help to choose the optimal management. Methods: In this study, 585, including 530 COVID-19 patients, with clinical and radiological evidence of respiratory diseases, were investigated for P. jirovecii screening. Clinical specimens were examined by direct microscopy and PCR, and randomly selected positive PCR products were confirmed through DNA sequence analysis. Results: Thirty-one (5.3%) samples were positive in P. jirovecii-specific nested-PCR, while by direct microscopic tests, Pneumocystis was observed in 22 (3.76%) samples. Males (61.7%) and patients over 50 years old (75.6%) were more commonly affected than others, and malaise and fatigue (84%), and wheezing (75%) were the most common symptoms, followed by fever (40.48%) and dyspnea (39.51%). Among the Pneumocystis-positive patients, three cases had coinfection with Aspergillus fumigatus, A. flavus, and A. niger (each n = 1), as documented by direct microscopy, culture, and species identification by PCR-sequencing. Conclusion: Pneumocystis pneumonia is still a diagnostic challenge; therefore, additional large-scale studies are needed to clarify the epidemiology of the disease in immunocompromised or COVID-19 patients.

Thalidomide for the Treatment of COVID-19 Pneumonia: A Randomized Controlled Clinical Trial.

Background: Coronavirus disease 2019 has become a public health concern with a high number of fatalities. Thalidomide can target inflammatory mediators and decrease inflammation in SARS-CoV-2. Materials and Methods: An open-label, randomized controlled trial was conducted on patients with compatible lung high-resolution computed tomography scan for COVID-19 pneumonia and moderate involvement. Childbearing-age women were excluded. A total of 20 patients in the control group receiving usual treatment were compared with 26 patients in the case group who in addition to the same regimen also received thalidomide. The primary outcome was time for clinical recovery (TTCR) and intensive-care unit (ICU) admission. Results: From April 25 to August 8, 2020, based on the inclusion criteria, 47 patients were assigned to the study. Patients receiving thalidomide had a mean TTCR of days 5.5 (95% confidence interval [CI], 0.7-10.3), as compared with days 5.3 (95% CI, 1.7-8.9) with control (odds ratio 0.01; 95% CI, -1.58-1.59, P = 0.807). The incidence of ICU admission was 27% in the thalidomide group compared with 20% in the control group (odds ratio 3.89; 95% CI, 0.55-27.4, P = 0.425). The mean length of stay in hospital in both groups was 10 days. Progressive improvement in respiratory rate, fever, and O2 saturation during the study was seen in both groups without a significant difference between the thalidomide and control group (P > 0.05). Conclusion: This study investigated the effects of thalidomide to treat moderate COVID-19 clinical outcomes. The results established that this drug regimen did not add more effect to usual treatment for moderate COVID-19 pneumonia.

Efficacy of Hydroxychloroquine in Pre-exposure Severe Acute Respiratory Syndrome Coronavirus 2 Prophylaxis among High-Risk HealthCare Workers: A Multicenter Study.

Background: Prophylaxis could be an established strategy to potentially prevent and control infectious diseases and should be considered in the coronavirus disease 2019 (COVID-19) pandemic. The present study aimed to assess the effectiveness of hydroxychloroquine as a prophylaxis treatment strategy in the reduction of the risk of COVID-19 among health professionals. Materials and Methods: The health professionals were randomly assigned (1:1) to the control group without receiving any hydroxychloroquine as prophylaxis and the hydroxychloroquine group receiving a weekly hydroxychloroquine dose of 400 mg up to 12 weeks. Results: A total of 146 health professionals were randomly enrolled in this study between August 11 and November 11 in 2020. Among the screened health professionals, 21 (14.6%) were infected with COVID-19 during the 12 weeks, and 14 (66.6%) out of the 21 health professionals were in the control group. Most participants with COVID-19 had mild symptoms (62%). In addition, 9.5% (n = 2) of the participants suffered from moderate disease and 28.5% were diagnosed with severe symptoms. In the hydroxychloroquine group, 5 (7.1%) and 2 (2.8%) participants were reported with mild and moderate symptoms of COVID-19, respectively, and 2 participants had moderate, 8 (10.9%) participants had mild symptoms, and 6 (8.2%) participants had severe symptoms in the control group, within 3 months. Severe symptoms of COVID-19 were not observed in the hydroxychloroquine group. Conclusion: This study addressed the effect and benefit of hydroxychloroquine administration for the prevention of COVID-19 among health professionals. The improved perception of prophylaxis might highlight its important role in future COVID-19 outbreaks to prevent hospital transmission, which is a major route of spread.

Species distribution and susceptibility profiles of oral candidiasis in hematological malignancy and solid tumor patients.

Oral colonization and infection by Candida species are common in cancer patients receiving chemoradiotherapy, which has significantly increased in recent years. This study aimed to evaluate the frequency, distribution, and antifungal susceptibility profiles of Candida species isolates in patients with hematological malignancy and solid tumors. This study was conducted on a total of 45 cancer patients undergoing treatment with concurrent chemoradiotherapy within 2019-2020. The identification of Candida species was accomplished based on conventional examination and molecular assays. The minimum inhibitory concentrations were determined based on the guidelines of Clinical and Laboratory Standards Institute. The highest prevalence rates of oral candidiasis were observed in patients with chronic lymphoid leukemia (24.4%) and lymphoma (20%). The majority of the patients had oral candidiasis caused by non-albicans Candida species (64.4%). The results of the multiplex PCR for the identification of Candida glabrata, Candida nivariensis, Candida bracarensis, and species-specific Candida parapsilosis complex showed that all isolate amplification products at 397 bp and 171 bp were related to C. glabrata and C. parapsilosis, respectively. There was a significant difference in the Candida species distribution between the hematological malignancies and solid tumors patients. The results of MIC showed that clotrimazole, voriconazole, and caspofungin were the most effective antifungal drugs against oral non-Candida albicans isolates. An understanding of the epidemiology of oral candidiasis among hematological malignancies and solid tumors patients is currently imperative to guide optimal empirical treatment strategies for affected patients.

COVID-19 and Sustainable Development Goals (SDGs): Scenario analysis through fuzzy cognitive map modeling.

The COVID-19 crisis has immensely impacted the implementation of the 2030 Agenda for Sustainable Development worldwide. This research aims at providing a policy response to support achieving the Sustainable Development Goals (SDGs) taking the COVID-19 long-term implications into account. To do so, a qualitative analytical method was employed in the following four steps. First, a fuzzy cognitive map was developed to specify causal-effect links of the interdependent SDGs in Iran as a developing country in the Middle East. Second, potential effects of the pandemic on the SDGs achievement were analyzed. Third, five strategies were formulated, including green management, sustainable food systems, energizing the labor market, inclusive education, and supporting research and technology initiatives in the energy sector. And finally, different scenarios corresponding to the five proposed strategies were tested based on the identified interconnections among the SDGs. The analysis showed that applying each of the five considered strategies or their combination would mitigate the effect of COVID-19 on the SDGs only in case of a medium pandemic activation level. Moreover, implementing a single strategy with a high activation level leads to better outcomes on the SDGs rather than applying a combination of strategies in low or medium activation levels during the pandemic situation. The provided insights support stakeholders and policy-makers involved in the post-COVID-19 recovery action plan towards implementing the 2030 Agenda for Sustainable Development.

Ciliary and immune dysfunctions and their genetic background in patients with non-cystic fibrosis bronchiectasis in Central Iran.

OBJECTIVE: Bronchiectasis is usually caused by recurrent bacterial infections and is characterized by irreversible dilation of the bronchi. In this study, we aimed to give an overview of the genetic backgrounds of patients with non-cystic fibrosis bronchiectasis (NCFB) that have been suspected to an underlying ciliary dysfunction or inborn error of immunity (IEI). METHOD: This is a retrospective cross-sectional study. Seventy-one NCFB patients who were referred to the Immunodeficiency Research Center, Isfahan University of Medical Sciences, Isfahan, Iran, from 1996 to 2020 were included. These patients were referred to this center for immunological and genetic evaluation. Genetic analysis with whole-exome sequencing and Sanger sequencing was confirmed in 30 patients. However, the genetic evaluations of 41 patients were either still under evaluation or the patients had refused to be genetically evaluated. RESULT: Thirty-eight of our 71 patients (53.52%) were diagnosed with ciliary dysfunction and the detected mutations included mutations in the CCDC65, DNAH11, RSPH1, CCDC40, and GAS8 genes as well as a novel mutation. Thirty-three patients (46.47%) had an IEI and the detected mutations included mutations of the following genes: TNFRSF13B, PTPN2, ZNF341 BTK, TCF3, CD79a, PIK3CD, JAGN1, WAS, RFXANK, STK4, GSDMD, and NEMO. CONCLUSION: This study presents an overview of the underlying ciliary and immune dysfunctions and their genetic mutations in NCFB in a highly consanguine population. This would give us a better understanding of the etiologies and the known and novel genetic mutations in NCFB in Iran and, in turn, in the Middle East and North Africa (MENA) region.

Determining the diagnostic value of three clinical criteria Wells', YEARS and modified Geneva in pregnant women with suspected pulmonary thromboembolism.

BACKGROUND: Diagnosis of pulmonary thromboembolism (PTE) during pregnancy is a challenging medical issue due to complications of X-ray-based imaging studies such as Ct-angiography for neonates and pregnant women. Here we aimed to assess the predictive values of three clinical criteria for diagnosing PTE during pregnancy. METHODS: This is a retrospective cohort study performed in 2018-2020 on 166 pregnant women suspected of PTE. We reviewed the documents of all patients referred to our medical center with suspected symptoms of PTE. The demographic characteristics of the patients, signs and clinical findings upon the arrival of patients as well as their laboratory tests including D-dimer with a history of abortion or delivery and leg symptoms were entered into the data collection form. Then, according to the information extracted from the patient's files, each patient was evaluated by all clinical PTE criteria, including Wells, YEARS and modified Geneva. For each patient according to clinical criteria and all three algorithms, clinical suspicion for PTE and treatment or non-treatment was determined were compared to the final MDCT result of patients. RESULTS: The Well's criteria had 100% sensitivity, 6.47% specificity, a positive predictive value of 7.8% and a negative predictive value of 100%. In patients with Well's score of more than four, the sensitivity and specificity of PTE diagnosis were 100% and 6% respectively. The modified Geneva criteria had 100% sensitivity, 8.89% specificity, a positive predictive value of 8.21% and a negative predictive value of 100%. The modified Geneva criteria had 100% sensitivity, 7.74% specificity, positive predictive value of 8.44% and a negative predictive value of 100%. CONCLUSION: Wells, YEARS and modified Geneva criteria could significantly rule out PTE in pregnancy with 100% sensitivity.

The correlation between viral shedding duration and blood biomarkers in COVID-19-infected patients.

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.

Neutrophil to Lymphocyte Ratio (NLR) and Derived NLR Combination: A Cost-effective Predictor of Moderate to Severe COVID-19 Progression.

Inflammation is an essential contributor to Coronavirus disease 2019 (COVID-19).   In this regard, finding a prognostic indicator is valuable because the treatment will be more effective if critical patients with high inflammation are diagnosed earlier. We aimed to evaluate some hematologic markers for COVID-19 and assess their association with the severity of the disease. A total of 154 COVID-19 patients were laboratory-confirmed and admitted to Imam Khomeini Hospital Complex, Tehran, Iran, from February 12, 2020, to April 4, 2020, and 55 healthy individuals were enrolled in the study. The severity of the patients' illnesses was classified into three subgroups according to the types of oxygen therapies (moderate (61), severe (28), and critical (43)) and examined the different ratios of total white blood cell (WBC) count, neutrophil to lymphocyte ratio (NLR), platelet to monocyte ratio (PLR), macrophage to lymphocyte ratio (MLR), derived NLR ratio (dNLR), and some biochemical tests. COVID-19 patients had higher levels of NLR, MLR, PLR, and dNLR than healthy subjects. receiver operating characteristic (ROC) analysis of the curve revealed that NLR and dNLR had a high diagnostic value to differentiate COVID-19 patients from healthy subjects (area under the curve [AUC]=0.923 and 0.910, respectively) and predict mortality (AUC=0.726 and 0.735, respectively). NLR and dNLR may be reliable markers to evaluate the severity of COVID-19. NLR and dNLR had a high diagnostic value for differentiating COVID-19 patients from healthy subjects, and they could predict the severity and outcome of the disease.

Myocarditis following AstraZeneca (an adenovirus vector vaccine) COVID-19 vaccination: A case report.

Coronavirus disease-19 (COVID-19) vaccines are massively administered globally and some adverse events, such as myocarditis, are being reported. Most of the reported cases of post-vaccination myocarditis have occurred following mRNA vaccinations. However, there have also been recent reports of myocarditis following adenovirus vector vaccinations. We present a case of a 32-year-old female patient who developed myocarditis following the administration of the first dose of the AstraZeneca vaccine. The patient developed inappropriate exertional tachycardia and exertional dyspnea from Day 3 and was diagnosed with myocarditis by subsequent echocardiography about 3 months later. We are unable to confirm a direct association between myocarditis and AstraZeneca vaccination. However, we would like to increase awareness regarding the possibility of developing myocarditis following AstraZeneca vaccination.

Association of demographic variables and smoking habits with the severity of lung function in adult smokers.

Background: This study aims to evaluate the association between demographic and smoking variables with the severity of lung function loss (Stage I to IV) and spirometry data in smokers. Materials and Methods: Three hundred and fifty smoker men over the age of 20 who had visited in AL-Zahra hospital were involved. Spirometry tests were performed for measuring forced vital capacity (FVC), FEV1, and FEV1%FVC. COPD was categorized into four stages by the (Global Initiative for Chronic Obstructive Lung Disease) criteria of postbronchodilator FEV1/FVC <0.70. FEV1/FVC <70%, in combination with FEV1 ≥80% (Stage I), or 50%≤FEV1 <80% (Stage II), or 30%≤FEV1 <50% (Stage III), or FEV1 ≤30% (Stage IV). Independent t-test, Spearman correlation analysis was used for data analysis. To determine the predicting factors for pulmonary function multiple regressions analysis was performed. Results: 43 (19.5%) of men were defined as Chronic Obstructive Lung Disease (COPD) which 7% of them were Stage I, 23.3% were Stage II, 39.5% were III and 30.2% were stage IV. In 60 (27.1%) of men, the index of Fev1/FVC was <80%. The criteria of PRIS in 74 (33.5%) of the patients and BDR in 59 (26.7%) of participation was positive. There were significant differences in the mean of FEV1 with respect to history of lung disease in relatives (P = 0.035), lung disease hospitalization (P < 0.001) and previous diagnosis of asthma variables (P < 0.001). The mean of FVC was significantly different in patients categorized based on lung disease hospitalization (P < 0.001) and previous diagnosis of asthma (P = 0.018). Furthermore, there was a significant difference in the mean of FEV1/FVC for variables as follows: Time to start smoking after waking up (P = 0.007), lung disease hospitalization (P < 0.001) and previous diagnosis of asthma (P < 0.001). There was a significant association between stages of lung function loss and age of onset of smoking (ß-0.355 P = 0.019) and pack per year (ß = 0.354 P = 0.02). A linear regression model showed that lung disease hospitalization and age were the influential variables on FEV1 with (B = -21.79 confidence interval [CI]: -28.7, -14.87, P < 0.001and B = -0.418 CI: -0.63, -0.21, P < 0.001), respectively. The only significant influential variable on FVC was lung disease hospitalization (B = -15.89 CI: -21.49, -10.296, P < 0.001). Body mass index, lung disease hospitalization, time to start smoking after waking up in the morning and age had significant relationship on FEV1/FVC with (B = 0.71CI: 0.32, 1.11, P < 0.001, B = -14.29, CI: -19.61,-8.97, P < 0.001, B = 6.54, CI: 2.26, 10.82, P = 0.003 and B = -0.44, CI: -0.59, -0.28, P < 0.001), respectively. Conclusion: The age of onset of smoking and pack-year appears to be associated with the severity of COPD. Hospitalization history due to lung disease, age, the time between waking up in the morning and first cigarette use, BMI, lung disease history in relatives, previous diagnosis of asthma have a negative relationship with lung function.

Diabetes mellitus risk prediction in the presence of class imbalance using flexible machine learning methods.

BACKGROUND: Early detection and prediction of type two diabetes mellitus incidence by baseline measurements could reduce associated complications in the future. The low incidence rate of diabetes in comparison with non-diabetes makes accurate prediction of minority diabetes class more challenging. METHODS: Deep neural network (DNN), extremely gradient boosting (XGBoost), and random forest (RF) performance is compared in predicting minority diabetes class in Tehran Lipid and Glucose Study (TLGS) cohort data. The impact of changing threshold, cost-sensitive learning, over and under-sampling strategies as solutions to class imbalance have been compared in improving algorithms performance. RESULTS: DNN with the highest accuracy in predicting diabetes, 54.8%, outperformed XGBoost and RF in terms of AUROC, g-mean, and f1-measure in original imbalanced data. Changing threshold based on the maximum of f1-measure improved performance in g-mean, and f1-measure in three algorithms. Repeated edited nearest neighbors (RENN) under-sampling in DNN and cost-sensitive learning in tree-based algorithms were the best solutions to tackle the imbalance issue. RENN increased ROC and Precision-Recall AUCs, g-mean and f1-measure from 0.857, 0.603, 0.713, 0.575 to 0.862, 0.608, 0.773, 0.583, respectively in DNN. Weighing improved g-mean and f1-measure from 0.667, 0.554 to 0.776, 0.588 in XGBoost, and from 0.659, 0.543 to 0.775, 0.566 in RF, respectively. Also, ROC and Precision-Recall AUCs in RF increased from 0.840, 0.578 to 0.846, 0.591, respectively. CONCLUSION: G-mean experienced the most increase by all imbalance solutions. Weighing and changing threshold as efficient strategies, in comparison with resampling methods are faster solutions to handle class imbalance. Among sampling strategies, under-sampling methods had better performance than others.

Efficacy and Safety Comparison of Two Different Doses of Dexamethasone in Hospitalized Patients with COVID-19: A Randomized Clinical Trial.

Objective: The current study aims to investigate high- versus low-dose dexamethasone administration to control the disease with minor complications. Methods: The current multicentric randomized clinical trial was conducted on 119 patients with COVID-19 pneumonia and assigned into two groups of low-dose (8 mg daily intravenous dose for at least 7 days or until discharge) (n = 61) versus high-dose dexamethasone (24 mg for 3 days followed by daily 8 mg for the at least 4 days later or until discharge) (n = 58) during 2020-2021. Oxygen saturation, dyspnea severity based on the Borg scale, and laboratory indices were assessed at 3, 5, and 7 days of corticosteroid therapy. Patients were compared regarding the length of hospitalization, intensive care unit (ICU) admission requirement, and noninvasive or invasive ventilation. The other investigations included corticosteroid-related adverse effects and mortality rates within a month after the medications. Findings: Oxygen saturation, Borg scale, and C-reactive protein levels were significantly altered by the time in both the groups (P < 0.05). In contrast, the trend of improvements in Borg scale (P = 0.007) and lactate dehydrogenase levels (P = 0.034) were superior in high-dose treated cases. Drug-related adverse (P = 0.809), mortality rate (P = 0.612), hospitalization duration (P = 0.312), ICU admission requirement (P = 0.483), and noninvasive (P = 0.396) and invasive ventilation (P = 0.420) did not differ between the groups. Conclusion: According to this study, low- versus high-dose dexamethasone therapy did not affect the outcomes, so low-dose dexamethasone is recommended for COVID-19 pneumonia to achieve optimal results and prevent potential adverse events.