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.

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.

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.

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.

Synergistic effect of curcumin-Cu and curcumin-Ag nanoparticle loaded niosome: Enhanced antibacterial and anti-biofilm activities.

In the current study, for the first time, the synergistic activity of curcumin and silver/copper nanoparticles (NPs) was studied against Staphylococcus aureus and Pseudomonas aeruginosa. Moreover, a unique combination of curcumin and silver/copper NPs in free and encapsulated forms was prepared and delivered through a niosomal system. For this purpose, different niosomal formulations of curcumin and metal NPs were prepared by thin film hydration method. Then, the dual drug-loaded niosomes were dispersed in chitosan hydrogel in order to widen its applications. The effect of the molar ratios of lipid to drug and surfactant to cholesterol was investigated to find the optimized noisomal nanoparticles in terms of size, polydispersity index (PDI), and entrapment efficiency (EE). The size and PDI values were measured by dynamic light scattering (DLS). Morphology and in vitro drug release kinetics of niosomes were examined by scanning and transmission electron microscopy (SEM, TEM) and dialysis method, respectively. The drug-loaded niosomes and their hydrogel counterpart were screened for investigating their antibacterial activity against S. aureus and P. aeruginosa by disk diffusion, minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) assays. Furthermore, anti-biofilm assay and expression of biofilm-associated genes by Real-time PCR were performed to evaluate the anti-biofilm effect of NPs. In this study, the drug-loaded niosomal formulations showed good entrapment efficiencies (EE) with a sustained release profile over 72 h. Moreover, compared to free drugs, the optimized niosomal formulations increased antibacterial activity against the bacteria via promotion in the inhibition zone and reduction in MIC and MBC values. Interestingly, gel-based niosomal formulations increased the inhibition zone by about 6 mm and significantly decreased MIC and MBC values compared to niosomal formulations. Also, biofilm eradication of curcumin-metal NPs encapsulated into niosomal hydrogel was highest compared to free and niosomal drugs. Overall, curcumin-Cu or curcumin-Ag nanoparticle loaded niosomes incorporated in hydrogel hold great promise for biomedical applications.

Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals.

BACKGROUND: The COVID-19 pandemic is straining the health care systems worldwide. Therefore, health systems should make strategic shifts to ensure that limited resources provide the highest benefit for COVID-19 patients. OBJECTIVE: This study aimed to describe the risk factors associated with poor in-hospital outcomes to help clinicians make better patient care decisions. MATERIAL AND METHODS: This retrospective observational study enrolled 176 laboratory-confirmed COVID-19 patients. Demographic characteristics, clinical data, lymphocyte count, CT imaging findings on admission, and clinical outcomes were collected and compared. Two radiologists evaluated the distribution and CT features of the lesions and also scored the extent of lung involvement. The receiver operating characteristic (ROC) curve was used to determine the optimum cutoff point for possible effective variables on patients' outcomes. Multivariable logistic regression models were used to determine the risk factors associated with ICU admission and in-hospital death. RESULT: Thirty-eight (21.5%) patients were either died or admitted to ICU from a total of 176 enrolled ones. The mean age of the patients was 57.5 ± 16.1 years (males: 61%). The best cutoff point for predicting poor outcomes based on age, CT score, and O2 saturation was 60 years (sensitivity: 71%, specificity: 62%), 10.5 (sensitivity: 73%, specificity: 58%), and 90.5% (sensitivity: 73%, specificity: 59%), respectively. CT score cutoff point was rounded to 11 since this score contains only integer numbers. Multivariable-adjusted regression models revealed that ages of ≥ 60 years, CT score of ≥ 11, and O2 saturation of ≤ 90.5% were associated with higher worse outcomes among study population (odds ratio (OR): 3.62, 95%CI: 1.35-9.67, P = 0.019; OR: 4.38, 95%CI: 1.69-11.35, P = 0.002; and OR: 2.78, 95%CI: 1.03-7.47, P = 0.042, respectively). CONCLUSION: The findings indicate that older age, higher CT score, and lower O2 saturation could be categorized as predictors of poor outcome among COVID-19-infected patients. Other studies are required to prove these associations.

Diagnostic imaging to investigate pulmonary embolism in pregnancy using CT-Pulmonary angiography versus perfusion scan.

BACKGROUND: Pulmonary embolism (PE) is one of the major causes of maternal mortality; however, its diagnosis based on clinical presentation is a significant challenge; therefore, imaging is required. This study aims to determine the nondiagnostic rate of PE in pregnant women who initially undergone computed tomographic pulmonary angiography (CTPA) or perfusion scan. MATERIALS AND METHODS: In this cross-sectional study, all pregnant or 6-week postpartum women with clinical suspicion of PE were evaluated and underwent CTPA or perfusion scan between March 2017 and June 2019. The nondiagnostic rate of each method was defined as the outcome of this study. RESULTS: One hundred and eighty-two women with a clinical suspicion of PE were included, among which the initial imaging method was CTPA in 122 (67.03%) and perfusion scan in 60 (32.97%) women. The nondiagnostic imaging for CTPA was significantly lower than the perfusion scan (9 cases (7.4%) versus 25 cases (41.7%), respectively). Logistic regression assessment revealed a statistical outcome by controlling the confounders including gestational trimester at diagnosis, hypertension, ejection fraction, and tachycardia (odds ratio 15.911, 95% confidence interval: 5.177-48.897, P < 0.001). CONCLUSION: Based on the current study, CTPA is superior to perfusion scans to diagnose PE among pregnant or postpartum women with normal chest X-ray suspicion for PE.

Fatal Invasive Pulmonary Aspergillosis in COVID-19 Patient with Acute Myeloid Leukemia in Iran.

Although patients with severe immunodeficiency and hematological malignancies has been considered at highest risk for invasive fungal infection, patients with severe pneumonia due to influenza, and severe acute respiratory syndrome coronavirus (SARS-CoV) are also at a higher risk of developing invasive pulmonary aspergillosis (IPA). Recently, reports of IPA have also emerged among SARS-CoV-2 infected patients admitted to intensive care units (ICUs). Here, we report a fatal case of probable IPA in an acute myeloid leukemia patient co-infected with SARS-CoV-2 and complicated by acute respiratory distress syndrome (ARDS). Probable IPA is supported by multiple pulmonary nodules with ground glass opacities which indicate halo sign and positive serum galactomannan results. Screening studies are needed to evaluate the prevalence of IPA in immunocompromised patients infected with SARS-CoV-2. Consequently, testing for the presence of Aspergillus in lower respiratory secretions and galactomannan in consecutive serum samples of COVID-19 patients with timely and targeted antifungal therapy based on early clinical suspicion of IPA are highly recommended.

In Vitro Infectivity Assessment by Drug Susceptibility Comparison of Recombinant Leishmania major Expressing Enhanced Green Fluorescent Protein or EGFP-Luciferase Fused Genes with Wild-Type Parasite.

Leishmaniasis is a worldwide uncontrolled parasitic disease due to the lack of effective drug and vaccine. To speed up effective drug development, we need powerful methods to rapidly assess drug effectiveness against the intracellular form of Leishmania in high throughput assays. Reporter gene technology has proven to be an excellent tool for drug screening in vitro. The effects of reporter proteins on parasite infectivity should be identified both in vitro and in vivo. In this research, we initially compared the infectivity rate of recombinant Leishmania major expressing stably enhanced green fluorescent protein (EGFP) alone or EGFP-luciferase (EGFP-LUC) with the wild-type strain. Next, we evaluated the sensitivity of these parasites to amphotericin B (AmB) as a standard drug in 2 parasitic phases, promastigote and amastigote. This comparison was made by MTT and nitric oxide (NO) assay and by quantifying the specific signals derived from reporter genes like EGFP intensity and luciferase activity. To study the amastigote form, both B10R and THP-1 macrophage cell lines were infected in the stationary phase and were exposed to AmB at different time points. Our results clearly revealed that the 3 parasite lines had similar in vitro infectivity rates with comparable parasite-induced levels of NO following interferon-γ/lipopolysaccharide induction. Based on our results we proposed the more reporter gene, the faster and more sensitive evaluation of the drug efficiency.

Food allergy among Iranian children with inflammatory bowel disease: A preliminary report.

BACKGROUND: Evidence has shown a link between allergic disease and inflammatory bowel diseases (IBDs). We investigated food allergy in Iranian pediatric IBD patients. MATERIALS AND METHODS: A cross-sectional study was conducted on a consecutive sample of children with newly diagnosed IBD referring to Mofid Children's University Hospital in Tehran (Iran) between November 2013 and March 2015. Data on age, gender, history of cow's milk allergy (CMA), IBD type, routine laboratory tests, and colonoscopic and histopathological findings were gathered. Food allergy was assessed with the skin prick test (SPT). RESULTS: A total of 28 patients including 19 ulcerative colitis (UC), 7 Cronh's disease (CD), and two with unclassified colitis with a mean age of 8.3 ± 4.4 years. (57.1% females, 42.9% were studied. History of CMA was present in eight patients (28.6%). Seventeen patients (60.7%) had at least one food allergy (68.4% of UC vs. 42.9% of CD, P = 0.230). Ten patients (35.7%) had multiple food allergies (36.8% of UC vs. 42.9% of CD, P > 0.999). Common allergic foods were cow's milk (28.6%), beef, seafood, albumen, wheat, and walnuts (each 10.7%), and peanuts and chestnuts (each 7.1%). The SPT showed CMA in 68.4% (8/17) of UC but none of the CD patients (P = 0.077). CONCLUSION: Food allergy is frequent in Iranian pediatric IBD patients with CMA being the most common observed allergy. The CMA seems to be more frequent in UC than in CD patients.

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.

Formulation, Characterization, and Potential Therapeutic Implications of Encapsulated Recombinant Alpha-Luffin in Niosomes.

OBJECTIVE: The anticancer properties of recombinant α-luffin (LUF) are wellestablished. However, the cytotoxic effects of encapsulating LUF within niosomes on the SKBR3 breast cancer cell line have yet to be explored. Our study aimed to investigate whether this encapsulation strategy could improve cytotoxic effects. METHODS: Alpha-luffin was expressed, purified, and refolded. Then, this protein was utilized to craft an optimal formulation, guided by experimental design. In this work, we have explored various physicochemical properties, including particle size, polydispersity index, zeta potential, morphology, entrapment efficiency, drug release and kinetics, storage stability, and FTIR spectroscopy. Additionally, we have assessed the cellular uptake and cytotoxic effect of the optimized niosome formulation on the SKBR3 breast cancer cell line. RESULTS: The optimized niosome exhibited a mean diameter of 315±6.4 nm (DLS). Successful encapsulation of LUF into regularly shaped, spherical niosomes was achieved, with an encapsulation efficiency of 73.45±2.4%. Notably, Niosomal LUF (NLUF) exhibited significantly increased cytotoxicity against SKBR3 cells. CONCLUSION: These findings suggest that niosomes loaded with LUF hold promise as a potential treatment strategy for breast cancer.

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.

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.

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.

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.

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.

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.

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.