A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography images

The coronavirus disease 2019 (COVID-19) pandemic had a major impact on global health and was associated with millions of deaths worldwide. During the pandemic, imaging characteristics of chest X-ray (CXR) and chest computed tomography (CT) played an important role in the screening, diagnosis and monitoring the disease progression. Various studies suggested that quantitative image analysis methods including artificial intelligence and radiomics can greatly boost the value of imaging in the management of COVID-19. However, few studies have explored the use of longitudinal multi-modal medical images with varying visit intervals for outcome prediction in COVID-19 patients. This study aims to explore the potential of longitudinal multimodal radiomics in predicting the outcome of COVID-19 patients by integrating both CXR and CT images with variable visit intervals through deep learning. 2274 patients who underwent CXR and/or CT scans during disease progression were selected for this study. Of these, 946 patients were treated at the University of Pennsylvania Health System (UPHS) and the remaining 1328 patients were acquired at Stony Brook University (SBU) and curated by the Medical Imaging and Data Resource Center (MIDRC). 532 radiomic features were extracted with the Cancer Imaging Phenomics Toolkit (CaPTk) from the lung regions in CXR and CT images at all visits. We employed two commonly used deep learning algorithms to analyze the longitudinal multimodal features, and evaluated the prediction results based on the area under the receiver operating characteristic curve (AUC). Our models achieved testing AUC scores of 0.816 and 0.836, respectively, for the prediction of mortality. © 2023 SPIE.

Could platelet mass index (PMI) be a new prognostic biomarker for COVID-19?

Aim: Although most patients with COVID-19 experience respiratory tract infections, severe reactions to the virus may cause coagulation abnormalities that mimic other systemic coagulopathies associated with severe infections, such as disseminated intravascular coagulation and thrombotic microangiopathy. Fluctuations in platelet markers, which are an indicator of the acute phase response for COVID-19, are of clinical importance. The aim of this study is to evaluate the relationship between disease severity and Platelet Mass Index (MPI) parameters in COVID-19 patients. Material(s) and Method(s): This retrospective observational study was conducted with patients who were diagnosed with COVID-19 in a tertiary hospital. The study was continued with the remaining 280 patients. All laboratory data were scanned retrospectively from patient files and hospital information system. Result(s): A very high positive correlation was found between PMI and PLT. The PMI value in women was significantly higher than in men. It was observed that PMI did not differ significantly in terms of mortality, intubation, CPAP and comorbidity. PMI vs. Pneumonia Ct Severity Score, biochemistry parameters (AST, CRP), hemogram parameters (WBC, HGB, HCT, MCV, LYM, MPV EO) and coagulation factors (aPTT and FIB) at various levels of positive/negative, weak and strong, and significant relationship was found. There was no significant relationship between hormone and D-dimer when compared with PMI. Discussion(s): Although platelet count alone does not provide information about the prognosis of the disease, PMI may guide the clinician as an indicator of lung damage in seriously ill patients.Copyright © 2022, Derman Medical Publishing. All rights reserved.

Assessment of biventricular myocardial systolic function in COVID-19 patients: A Tissue Doppler Imaging echocardiography study

Background: The 2019 novel coronavirus disease (COVID-19) has been reported as pandemy and the number of patients continues to rise. Based on recent data, cardiac injury is a prominent feature of the disease, leading to increased morbidity and mortality. In the present study we aimed to evaluate myocardial dysfunction using transthoracic echocardiography (TTE) and tissue Doppler imaging (TDI) in hospitalized COVID-19 patients. Methods and Results: We recruited 30 patients (56.7% male, 55.80 +/- 14.949 years) who were hospitalized with the diagnosis COVID-19 infection. We analyzed left ventricular (LV) and right ventricular (RV) conventional and TDI parameters at the time of hospitalization and during the course of the disease. Patients without any cardiac disease and with preserved LV ejection fraction (EF) were included. TTE examination was performed and all the variables were recorded and analyzed retrospectively. We observed that both LV and RV conventional echocardiographic parameters were similar when the day of admission to the hospital was compared to the 5th day of the disease. Regarding TDI analysis, we demonstrated significant impairment in LV septal and lateral deformation (P < 0.001). In the correlation analysis no marked correlation was observed between impairment in LV deformation and inflammation biomarkers. Conclusion(s): Cardiac involvement is an important feature of the COVID-19 infection but the exact mechanism is still undefined. Echocardiography is an essential technique to describe myocardial injury and provide new concepts for the possible definitions of cardiac dysfunction.Copyright © 2023 The Author(s).

Analysis of avian disease transmission risk and prevention measures in China

Many zoonotic diseases are found in wild animals and present a serious risk to human health, in particularly the virus carried by birds flying freely around the world is hard to control. There are three main bird migration routes which cover the most areas of China. It is important to investigate and fully understand the types of avian transmitted diseases in key areas on the bird migration routines and its impacts on both birds and human health. However, no literature is available in how about the risk of virus carried by migrating birds, and how to predict and reduce this risk of virus spreading to human being so far. In this paper, we first reviewed the main pathogen types carried by birds, including coronaviruses, influenza viruses, parasites, Newcastle disease virus (NDV), etc., and then discussed the spread risk of avian viruses to human being and animals in key areas of biosafety prevention. We also analyzed and discussed the risk of cross-spread of diseases among different bird species in nature reserves located on bird migration routes which provide sufficient food sources for migratory birds and attract numerous birds. Diseases transmitted by wild birds pose a serious threat to poultry farms, where high density of poultry may become avian influenza virus (AIV) reservoirs, cause a risk of avian influenza outbreaks. Airports are mostly built in suburban areas or remote areas with good ecological environment. There are important transit places for bird migration and densely populated areas, which have serious risk of disease transmission. Finally, this paper puts forward the following prevention suggestions from three aspects. First, establish and improve the monitoring and prediction mechanism of migratory birds, and use laser technology to prevent contact between wild birds and poultry. Second, examine and identify virus types carried by birds in their habitats and carry out vaccination. Third, protect the ecological environment of bird habitat, and keep wild birds in their natural habitat, so as to reduce the contact between wild birds and human and poultry, and thus reduce the risk of virus transmission.

ROCKY ROAD AHEAD FOR NEW FDA CHIEF CALIFF

Final Senate approval by a historically narrow 50-46 vote came only after the White House and Califf's supporters lobbied hard to gain sufficient support, a success that is very different from Califf's 89-4 approval back in 2016. Pressure to help control the high cost of prescription drugs will continue to drive FDA support for developing complex generic drugs and biosimilars. There is pressure to clarify rules governing e-cigarettes;a need to address serious health problems arising from contaminated food and seafood, including significant volumes of imported products;and the safety of cosmetic products, dietary supplements, sunscreens, and other non-prescription products raise additional complex issues.

INDUSTRY BACKS CLEAR FDA VACCINE STANDARDS

In spelling out the data expected for such authorization, agency officials emphasized the importance of fully vetting the safety and efficacy of any new coronovirus vaccine through a highly transparent process to boost public confidence in the ability of vaccines to save lives. Countering vaccine hesitancy Through the debate, officials in the Center for Biologics Evaluation and Research (CBER) emphasized that the EUA safety data requirement was already well known to vaccine manufacturers and that one aim was to assure manufacturers that FDA would hold all vaccine development programs to the same standards. Center for Biologics Evaluation and Research (CBER) Director Peter Marks further emphasized that the guidance sought to reassure the public that granting an EUA would not be a rushed decision on vaccine safety and efficacy to meet political goals, and that a vaccine EUA would require more data than for the more usual emergency authorizations for therapeutics and other medical products.

Early Vaccine Authorization Raises Ethical and Logistical Challenges for Trial Sponsors

The much-anticipated meeting of FDA's Vaccines and Related Biological Products Advisory Committee (VRBPAC) last month addressed a number of critical issues related to testing and approval of vaccines to prevent COVID-19 infection, including policies and data requirements for determining that a pandemic vaccine can be considered safe and effective, particularly when based on more limited, early clinical trial data. While studies sponsored by AstraZeneca and Johnson & Johnson's Janssen unit resumed soon after the meeting, the study pauses were described by researchers as a sign that clinical trial safety systems were working as intended, as the analysts determined the adverse events were unrelated to the test vaccine candidates. The aim is to gain further information on vaccine efficacy and side effects, including rare adverse events and fuller comparisons among patient groups with differences in age, sex, comorbidities, and ethnic characteristics.

The association between the elevated serum levels of cardiac Trop I and mortality in patients with and without pre-existing CAD in COVID-19 patients: A retrospective observational study

Background: COVID-19 has appeared as a pandemic and public health issue at a universal level. First documented as a respiratory disease, COVID-19 has been found to interrelate with and disturb the cardiovascular system causing myocardial injury and also cardiac dysfunction. Initial documentation of cardiac pathology can play a substantial role in dropping the death rate. This study emphasizes on the relationship between the serum levels of cardiac Trop I and prognosis in patients with and without pre-existing CAD in COVID-19 patients. Aims and Objectives: The first objective was to explore the association among the serum levels of cardiac Trop I and bad prognosis in patients with antiquity of CAD and without CAD. The secondary objective was to explore and understand whether increased Trop I is an appreciated prognostic indicator for COVID-19 patient antagonistic prognosis. Material(s) and Method(s): This was conducted as a retrospective observational study in which a whole of 45 patients admitted in COVID Hospital of Malabar Medical College and Research Center category C were studied. The medical record of the patients whose COVID-19 confirmation done by combined conclusions of reverse transcription PCR, symptoms, and chest X-ray was studies by the team. Result(s): Mean age of the study participants was 59.3 +/- 13.7. Every study participants had elevated Trop I levels with a median Trop I in study subjects being 397.9. There was a statistically significant elevation in Trop I levels in patients with CAD linked with non-CAD patients with a median IQR of 641.6 and P = 0.003 and there was a significant increase in Trop I levels in patients who expired related to patients who got discharged with a median IQR of 587.3 and P = 0.003. Conclusion(s): From this study, we accomplish that rise in cardiac troponin-I level is connected with elevated mortality in patients with COVID-19. Hence, it can be used as significant biomarker of disease evolution, hospitalization, and worse prognosis in COVID-19 patients.Copyright © 2023, Mr Bhawani Singh. All rights reserved.

Automatic Detection of Lung Ultrasound Artifacts using a Deep Neural Networks approach

The COVID-19 pandemic has challenged many of the healthcare systems around the world. Many patients who have been hospitalized due to this disease develop lung damage. In low and middle-income countries, people living in rural and remote areas have very limited access to adequate health care. Ultrasound is a safe, portable and accessible alternative;however, it has limitations such as being operator-dependent and requiring a trained professional. The use of lung ultrasound volume sweep imaging is a potential solution for this lack of physicians. In order to support this protocol, image processing together with machine learning is a potential methodology for an automatic lung damage screening system. In this paper we present an automatic detection of lung ultrasound artifacts using a Deep Neural Network, identifying clinical relevant artifacts such as pleural and A-lines contained in the ultrasound examination taken as part of the clinical screening in patients with suspected lung damage. The model achieved encouraging preliminary results such as sensitivity of 94%, specificity of 81%, and accuracy of 89% to identify the presence of A-lines. Finally, the present study could result in an alternative solution for an operator-independent lung damage screening in rural areas, leading to the integration of AI-based technology as a complementary tool for healthcare professionals. © 2023 SPIE.

BIOLOGIC TREATMENT SUSPENSION AND ASSOCIATED FACTORS IN PATIENTS WITH RHEUMATIC DISEASES DURING THE COVID-19 PANDEMIC: DATA FROM MEXICAN ADVERSE REGISTRY (BIOBADAMEX)

BackgroundThe COVID-19 pandemic triggered serious challenges in the treatment of chronic diseases due to the lack of access to medical attention. Patients with rheumatic diseases (RD) must have adequate treatment compliance in order to reach and maintain remission or low activity of their diseases. Treatment suspension because of non-medical reasons might lead to disease activation and organ damage.ObjectivesIdentify the frequency of biologic treatment (bDMARD) suspension in patients with RD during the COVID-19 pandemic and determine the associated factors for suspension.MethodsIn this study we included all patients registered in the Mexican Biologics Adverse Events Registry (BIOBADAMEX), that started bDMARD before March 2019 and suspended treatment during the COVID-19 pandemic. We used descriptive statistic to analyze baseline characteristics and main treatment suspension causes. We used Chi[2] and Kruskal Wallis tests to analyze differences between groups.ResultsA total of 832 patients patients registered in BIOBADAMEX were included in this study, 143 (17%) suspended bDMARD during the COVID-19 pandemic. The main causes of suspension were inefficacy in 54 (38%) patients, followed by other motives in 49 (34%) patients from which 7 (5%) was loss of medical coverage. Adverse events and loss of patients to follow up were the motive in 16 (11%) and 15 (11%) patients respectively.When we compared the group that suspended bDMARD with the non-suspenders (Table 1), we found statistical differences in patient gender, with 125 (87%) female patients that suspended bDMARD, with a median age of 52 (42-60) years, and a treatment duration of 3.8 years.ConclusionIn our study we found that 17% of patients with RD suspended bDMARD treatment during the COVID-19 pandemic and that non-medical motives such as lack of patients follow up and loss of medical coverage due to unemployment were important motives. These results are related to the effect of the pandemic on other chronic diseases.Table 1.Patients baseline characteristicsPatients that did not suspended bDMARD during pandemic (n = 689)Patients that suspended bDMARD during pandemic (n = 143)pFemale gender, n(%)549 (79.7)125 (87.4)0.02Age, median (IQR)55 (45 – 63)52 (42 – 60)0.04Body mass index, median (IQR)26.4 (23 – 30.4)27.23 (24.2 – 30.46)0.13Social security, n(%)589 (85.5)128 (89.5)0.2Diagnosis0.7- Rheumatoid arthritis444 (64.4)97 (67.8)- Juvenil idiopathic athritis29 (4.2)2 (1.4)- Ankyosing sponylitis93 (13.5)19 (13.3)- Psoriasic arthritis43 (6.2)6 (4.2)- Systemic lupus erithematosus32 (4.6)9 (6.3)- Others48 (6.9)10 (6.9)Disease duration, median (IQR)11 (7 – 19.5)12 (6 - 18)0.95Comorbidities, n(%)305 (44.3)73 (51)0.08Previos biologic, n(%)249 (36.1)60 (42)0.1Treatment at pandemic iniciation, n(%)0.8 - Etanercept a34 (4.9)5 (3.5)- Infliximab a24 (3.5)5 (3.5)- Adalimumab130 (18.9)22 (15.4)- Rituximab a61 (8.9)25 (17.5)- Abatacept76 (11)20 (14)- Tocilizumab82 (11.9)18 (12.6)- Certolizumab92 (13.4)28 (19.6)- Rituximab b7 (1)0- Golimumab36 (5.2)5 (3.5)- Tofacitinib14 (2)1 (0.7)- Infliximab b4 (0.5)2 (1.4)- Etanercept b31 (4.5)6 (4.2)- Baricitinib12 (1.7)1 (0.7)- Belimumab5 (0.7)1 (0.7)- Secukinumb8 (1.2)3 (2.1)Steroids use, n(%):254 (36.9)57 (39.9)0.2Steroids dose (mg), median (IQR)6 (5 – 10)6 (5 – 10)0.47DMARD use, n(%):538 (78.1)118 (82.5)0.1Treatment duration, median (IQR)5.06 (4.04 – 5.78)3.82 (3.35 – 4.95)0.001Suspension motive, n(%)NA- Inefficacy-54 (37.8)- Adverse event-16 (11.2)- Pregnancy-2 (1.4)- Loss of patient-15 (10.5)- Remission-7 (4.9)- Others-49 (34.2)Adverse events, n(%):102 (14.8)24 (16.8)0.3- Severe, n(%)13 (1.9)5 (3.5)0.4a original, b biosimilarREFERENCES:NIL.Acknowledgements:NIL.Disclosure of InterestsVijaya Rivera Teran: None declared, Daniel Xavier Xibille Friedmann: None declared, David Vega-Morales: None declared, Sandra Sicsik: None declared, Angel Castillo Ortiz: None declared, Fedra Irazoque-Palazuelos: None declared, Dafhne Miranda: None declared, Iris Jazmin Colunga-Pedraza: None declared, Julio Cesar Casasola: None declared, Omar Elo Muñoz-Monroy: None declared, Sandra Carrilo: None declared, Angélica Peña: None declared, Sergio Duran Barragan: None declared, Luis Francisco Valdés Corona: None declared, Estefanía Torres Valdéz: None declared, Azucena Ramos: None declared, Aleni Paz: None declared, ERICK ADRIAN ZAMORA-TEHOZOL: None declared, Deshire Alpizar-Rodriguez Employee of: Scientific Advisor in GSK México.

Semi-Supervised Modified-UNet for Lung Infection Image Segmentation

Automatic lung infection segmentation in computed tomography (CT) scans can offer great assistance in radiological diagnosis by improving accuracy and reducing time required for diagnosis. The biggest challenges for deep learning (DL) models in segmenting infection region are the high variances in infection characteristics, fuzzy boundaries between infected and normal tissues, and the troubles in getting large number of annotated data for training. To resolve such issues, we propose a Modified U-Net (Mod-UNet) model with minor architectural changes and significant modifications in the training process of vanilla 2D UNet. As part of these modifications, we updated the loss function, optimization function, and regularization methods, added a learning rate scheduler and applied advanced data augmentation techniques. Segmentation results on two Covid-19 Lung CT segmentation datasets show that the performance of Mod-UNet is considerably better than the baseline U-Net. Furthermore, to mitigate the issue of lack of annotated data, the Mod-UNet is used in a semi-supervised framework (Semi-Mod-UNet) which works on a random sampling approach to progressively enlarge the training dataset from a large pool of unannotated CT slices. Exhaustive experiments on the two Covid-19 CT segmentation datasets and on a real lung CT volume show that the Mod-UNet and Semi-Mod-UNet significantly outperform other state-of-theart approaches in automated lung infection segmentation. IEEE

Getting Proactive with Pharma Packaging

According to market research, the pharmaceutical packaging sector is expected to grow at a compound annual rate of 7.4% between 2022 and 2031, reaching an estimated USS178.8 billion (€171.8 billion) by the end of the forecast period (1). "Pharmaceutical waste continues to be a huge problem, so to eliminate non-biodegradable and single-use plastics from the supply chain, more research is taking place around bio-based PET [polyethylene terephthalate]. "By designing a product's primary and secondary packaging well from the outset (including investing ample resources into the process), manufacturers can reduce the amount of materials used and wasted, test new eco materials, ensure safety compliance and efficacy, and benefit from cheaper transportation costs," Quelch surmises. [...]pharma companies can benefit from a packaging supplier with a true global footprint," he says.

Injecting Innovation into Drug Packaging

According to Jens Kürten, group senior director, Communication and Marketing, Gerresheimer, there are nine megatrends that will both characterize and influence the pharmaceutical packaging market. Whether the drug be injected intravenously or subcutaneously, at home or in a hospital setting, there are various needs that should be considered prior to choosing the 'best-fit' packaging, he adds. [...]packaging requirements for pharmaceuticals change over time as the lifecycle of the drug continues," Stöcker states. [...]customers request more eco-friendly options to reduce or avoid plastic. [...]it has been necessary to design the packaging for the vaccines with these specific requirements in mind to ensure the safety and efficacy of the therapeutic product are protected.

Association of SARS-COV-2 viral RNAemia, IL- 6 gene polymorphism, serum IL-6 and peripheral blood lymphocytes and monocytes with disease severity in COVID-19 patients

Coronavirus disease 2019 (COVID-19) is a fatal pandemic viral disease caused by the severe acute respiratory syndrome corona virus type-2 (SARS-CoV-2). The aim of this study is to observe the associations of IL-6, SARS-COV-2 viral load (RNAemia), IL- 6 gene polymorphism and lymphocytes and monocytes in peripheral blood with disease severity in COVID-19 patients. This study was carried out from March 2021 to January 2022. RT-PCR positive 84 COVID-19 patients and 28 healthy subjects were enrolled. Blood was collected to detect SARS-COV-2 viral RNA (RNAemia) by rRT-PCR, serum IL-6 level by chemiluminescence method, SNPs of IL-6 by SSP-PCR, immunophenotyping of lymphocytes and monocyte by flow cytometry. Serum IL-6 level (pg/ml) was considerably high among critical patients (102.02 +/- 149.7) compared to severe (67.20 +/- 129.5) and moderate patients (47.04 +/- 106.5) and healthy controls (3.5 +/- 1.8). Serum SARS-CoV-2 nucleic acid positive cases detected mostly in critical patients (39.28%) and was correlated with extremely high IL-6 level and high mortality (R =.912, P < 0.001). Correlation between IL-6 and monocyte was statistically significant with disease severity (severe group, p < 0.001, and 0.867*** and critical group p < 0.001 and 0.887***). In healthy controls, moderate, severe and critically ill COVID-19 patients, IL-6 174G/C (rs 1800795) GG genotype was 82.14%, 89.20%, 67.85% and 53.57% respectively. CC and GC genotype had strong association with severity of COVID-19 when compared with GG genotype. Significant statistical difference found in genotypes between critical and moderate groups (p < 0.001, OR-10.316, CI-3.22-23.86), where CC genotype was associated with COVID-19 severity and mortality. The absolute count of T cell, B cell, NK cell, CD4+ T cells and CD8+ T cells were significantly decreased in critical group compared to healthy, moderate and severe group (P < 0.001). Exhaustion marker CD94/NKG2A was increased on NK cells and CD8+ cytotoxic T cell among critical and severe group. Absolute count of monocyte was significantly increased in critical group (P < 0.001). Serum IL-6, IL-6 174 G/C gene and SARS-CoV-2 RNAaemia can be used in clinical practice for risk assessment;T cell subsets and monocyte as biomarkers for monitoring COVID-19 severity. Monoclonal antibody targeting IL-6 receptor and NKG2A for therapeutics may prevent disease progression and decrease morbidity and mortality.Copyright © 2023 Elsevier Inc.

Variations in circadian rhythmicity and students' gender-related psychological conditions during the COVID-19 lockdown

In the face of the COVID-19 pandemic experienced around the world, new student lifestyles have had an impact on their daily behavior. The purpose of this study was to examine post-traumatic stress associated with the initial COVID-19 crisis in students (N = 280) with a mean age of 13 +/- 1.70 and to determine the relationship between their reported daily behaviors in terms of their gender. The study was conducted primarily in Casablanca and Marrakech, the two cities most affected by the pandemic at the time of the study in Morocco in May 2020. Our sample consists of 133 high school students and 147 middle school students, 83.6% of whom are females. Students were asked to answer questions based on an Activity Biorhythm Questionnaire, the Post-Traumatic Stress Scale (Weathers et al., 1993), the Hamilton Scale (Hamilton, 1960), the Worry Domains Questionnaire (Tallis, Eyzenck, Mathews, 1992), and the Visual Analog Scale of Moods (VASM) (Stern et al., 1997). The results obtained confirm that there is a significant relationship between the circadian rhythm of some variables and gender in some activities such as academic study (p < 0.05) and TV and Internet use (p < 0.05) and was highly significant for physical activity (p = 0.001), while others are not significant in relation to other schedules of the same variables or in relation to others. Likewise, for the psychological conditions, significant relationships with mood states and depressive tendencies were confirmed. In lockdown, the students' daily lives underwent changes in circadian rhythm and lifestyle. Therefore, it is necessary to treat their current psychological problems and avoid future complications. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Liver biomarkers for prognosis in COVID-19

The novel coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).Mortality attributable to COVID-19 remains considerably high, with case fatality rates as high as 8-11%. Early medical intervention in patients who are seriously and critically ill with COVID-19 reduces fatal outcomes. Thus, there is an urgent need to identify biomarkers that could help clinicians determine which patients with SARS-CoV-2 infection are at a higher risk of developing the most adverse outcomes, which include intensive care unit (ICU) admission, invasive ventilation, and death. In COVID-19 patients experiencing the most severe form of the disease, tests of liver function are frequently abnormal and liver enzymes are found to be elevated. For this reason, we examine the most promising liver biomarkers for COVID-19 prognosis in an effort to help clinicians predict the risk of ARDS, ICU admission, and death at hospital admission. In patients meeting hospitalization criteria for COVID-19, serum albumin < 36 g/L is an independent risk factor for ICU admission, with an AUC of 0.989, whereas lactate dehydrogenase (LDH) values > 365 U/L accurately predict death with an AUC of 0.943.The clinical scores COVID-GRAM and SOFA that include measures of liver function such as albumin, LDH, and total bilirubin are also good predictors of pneumonia development, ICU admission, and death, with AUC values ranging from 0.88 to 0.978.Thus, serum albumin and LDH, together with clinical risk scores such as COVID-GRAM and SOFA, are the most accurate biomarkers in the prognosis of COVID-19.Copyright © 2021 Sociedad Medica del Hospital General de Mexico. Published by Permanyer.

Outsourcing's, Race Toward Novelty

According to Jeetendra Vaghjiani, senior director of clinical development and strategic marketing at Lonza, emerging biotech companies are reliant on contract development and manufacturing organizations (CDMOs) because of their development and manufacturing capacity, expertise, and flexibility. Because of the high attrition rate associated with drug development, the better your preclinical programme, the stronger the position you can establish in terms of programme design and patient identification (2). [...]because of the relative scarcity of approvals over the past decade, companies looking to capitalize on this new market are likely to require specialized knowledge to get through the approvals process.

The European Union's New Pharmaceutical Strategy for Europe

[...]on 25 Nov. 2020, the European Commission (EC) announced the new Pharmaceutical Strategy for Europe, which is likely to result in significant changes to the European Union (EU) regulatory framework and will have a substantial impact on both the marketing of medicinal products and the strategic business planning of pharmaceutical companies (2). (2021), the priority areas are as follows: * The performance and adequacy of the current legislation * Unmet medical needs-with a definition or set of principles for "unmet medical needs" under discussion * Incentives for innovation, including the area of unmet needs and a reflexion on regulatory data and market exclusivity * Antimicrobial resistance that includes measures to support innovation of antibiotic development * Future-proofing the regulatory framework for novel products * Improved patient access to, and affordability of, medicines in the EU * Competitiveness of the European markets to ensure affordable medicines, including considering measures to support patients' access to affordable medicines * Encouraging the repurposing of off patent medicines * Ensuring security of supply of medicinal products in the EU * Ensuring high-quality manufacture and distribution in the EU including consideration of the need to strengthen or adapt good manufacturing practice (GMP) to reflect new manufacturing methodologies * Environmental challenges (4). Availability, accessibility, and affordability of medicinal products The section on 'Prioritising unmet medical needs' in the strategy reflects the belief within EU Bianca Piachaud-Moustakis is lead writer at PharmaVision, Pharmavision.co.uk. institutions that "current incentive models neither provide an adequate solution for unmet medical needs nor appropriately incentivise investments in innovation" (2).

Postmortem detectability and viability of SARS-CoV-2 virus in various biological specimens

Introduction Without a comprehensive postmortem investigation it is impossible to determine the cause of death among the SARS-CoV-2-suspected and-positive patients. We present two cases to discuss the postmortem detectability of SARS-CoV-2 virus and RNA stability in biological samples. Outline of cases Case No. 1: a 40-year-old man on whom the autopsy was performed four days after death. The body was stored at 4°C. Bilateral pneumonia was confirmed grossly and histopathologicaly. Molecular testing was positive for IgM antibodies, but negative for SARS-CoV-2 RNA. Case No. 2: a 28-year-old profes-sional basketball player who suffered from SARS-CoV-2 about a month earlier. The autopsy was performed two days after death. The body was stored at 15°C. Gross autopsy findings revealed advanced putrefactive changes and an enlarged heart, with visible fibrotic focuses. The histopathological finding corresponded to the sudden cardiovascular death due to the cardiac dysrhythmia most probably formed in one of the fibrotic focuses. Tests for SARS-CoV-2 RNA and antibodies (IgM, IgG) were positive in the analyzed samples. Conclusion This report suggests that SARS-CoV-2 virus can be isolated in the biological samples even after a long post-mortem prolongation of molecular analyses. We emphasize the necessity of wider studies that will define the infectiveness and biological stability of the virus in postmortem tissues. © 2023, Serbia Medical Society. All rights reserved.