atherosclerosis therapy.Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) has infected over 10 million people, leading to over 500,000 deaths as of July 1st, 2020. Since the outbreak began, almost 28,000 articles about COVID-19 have been published (https//pubmed.ncbi.nlm.nih.gov); however, few have explored the role of imaging and artificial intelligence in COVID-19 patients-specifically, those with comorbidities. This paper begins by presenting the four pathways that can lead to heart and brain injuries following a COVID-19 infection. Our survey also offers insights into the role that imaging can play in the treatment of comorbid patients, based on probabilities derived from COVID-19 symptom statistics. Such symptoms include myocardial injury, hypoxia, plaque rupture, arrhythmias, venous thromboembolism, coronary thrombosis, encephalitis, ischemia, inflammation, and lung injury. At its core, this study considers the role of image-based AI, which can be used to characterize the tissues of a COVID-19 patient and classify the severity of their infection. Image-based AI is more important than ever as the pandemic surges and countries worldwide grapple with limited medical resources for detection and diagnosis.

Intake of dietary fatty acid may play a major role in the prevention and management of lifestyle-related diseases such as type 2 diabetes mellitus (T2DM). Therefore, the aim of this study was to find an association between ω-6 to ω-3 fatty acid ratio and T2DM.

Fasting plasma glucose, glycated hemoglobin, and insulin were measured using commercially available kits. Fatty acid methyl esters were prepared using standard protocols. Delta-5 desaturase (D5D) and delta-6 desaturase (D6D) activities were determined from product-to-precursor ratios of individual fatty acids in plasma. Statistical analysis was performed using SPSS version 20.

The ratio of ω-6 to ω-3 was higher in the group with diabetes (131) when compared with the group without diabetes (41) and was statistically significant (P < 0.0001). Further association studies showed that univariate model with the ω-6 to ω-3 ratio and a multivariate model with D5D, D6D, and ω-6 to ω-3 ratio could serve as predictive polyunsaturated fatty acid pathway models for T2DM.

From the study results, it is evident that ω-6 to ω-3 fatty acid ratios can serve as essential predictive biomarkers in the management of patients with T2DM. This would not only help in management but would also aid in prevention of increased T2DM incidence in India. These results potentiate the need to maintain an ideal balance of ω-6 to ω-3, as prevention is always better than cure.

From the study results, it is evident that ω-6 to ω-3 fatty acid ratios can serve as essential predictive biomarkers in the management of patients with T2DM. This would not only help in management but would also aid in prevention of increased T2DM incidence in India. These results potentiate the need to maintain an ideal balance of ω-6 to ω-3, as prevention is always better than cure.

The Global Leadership Initiative on Malnutrition (GLIM) was proposed to provide a common malnutrition diagnostic framework. The aims of this study were to evaluate the applicability and validity of the GLIM and use machine-learning techniques to help provide the best malnutrition-related variables/combinations to predict complications in patients undergoing gastrointestinal (GI) surgeries.

This was a prospective cohort study enrolling surgical patients with GI diseases. Malnutrition prevalence was classified by the GLIM, subjective global assessment (SGA), and various anthropometric parameters. The various combination of the phenotypic criteria generated 10 different models. Sensibility (SE) and specificity (SP) were calculated using SGA as the reference criterion. Machine-learning approaches were used to predict complications. P < 0.05 was set as statistically significant.

We evaluated 206 patients. Half of the patients were malnourished according SGA, and 16.5% had postoperative complications. The prevalence of malnutrition using GLIM varied from 10.7% to 41.3% among the whole population, 11.7% and 43.6% in the elderly, from 0 to 24% in overweight non-obese and from 0 to 19.6% in obese patients. SE and SP values varied between 61.2% and 100% and 55.3% and 98.1%, respectively, for the general population. Machine-learning models indicated that midarm circumference, one of the GLIM models, and midarm muscle area were the most relevant criteria to predict complications.

The various GLIM combinations provided different rates of malnutrition according to the population. Machine-learning techniques supported the use of common single variables and one GLIM model to predict postoperative complications.

The various GLIM combinations provided different rates of malnutrition according to the population. Machine-learning techniques supported the use of common single variables and one GLIM model to predict postoperative complications.

The aim of this study was to verify the accuracy of the SARC-F and the SARC-CalF as screening tools for sarcopenia in community-dwelling older women ≥60 y of age.

This was a cross-sectional study evaluating a convenience sample of women ≥60 y of age, living in Southern Brazil. Sarcopenia was defined according to the criteria proposed in the latest European Working Group on Sarcopenia in Older People consensus (EWGSOP2). Appendicular muscle mass was assessed by dual-energy x-ray absorptiometry. Muscle strength was measured by handheld dynamometry, and physical performance through the 4-m gait speed test. The SARC-F questionnaire and SARC-CalF score for sarcopenia screening were also applied.

We evaluated 288 participants, with a mean age of 67.6 ± 5.8 y. The frequency of probable and confirmed sarcopenia in the sample was 7.3% and 2.1%, respectively. The frequency of risk for sarcopenia assessed by the SARC-F was 4.5% and SARC-CalF 22.2%. Despite the excellent specificity (95.4%) demonstrated by the SARC-F, its sensitivity in identifying confirmed cases was null, whereas the SARC-CalF showed high sensitivity (83.3%) and good specificity (79%).

The present study findings suggested that SARC-CalF may be able to outperform SARC-F as a sarcopenia screening tool in women ≥60 y of age even under the new EWGSOP2 criteria, the main determinant of which is strength as observed in studies based on the previous definition.

The present study findings suggested that SARC-CalF may be able to outperform SARC-F as a sarcopenia screening tool in women ≥60 y of age even under the new EWGSOP2 criteria, the main determinant of which is strength as observed in studies based on the previous definition.A trial was conducted to evaluate the antiviral activity and immunomodulatory effect of B-Caryophyllene (BCP) using NDV as a viral model. First, an in ovo experiment was conducted to estimate the antiviral mechanism of BCP. Next, an in vivo experiment was designed to confirm its antiviral efficacy as well as its immunomodulatory and growth promoting ability. According to the in ovo experiment, BCP possesses antiviral influence up to 61.7% when treated before or during NDV infection. Oral supplementation of chickens with two doses of BCP (200 and 400 μg/bird) resulted in a significant increase in the NDV HI-Ab responses and a significant increase in interferon-α signaling cytokines. These obvious immunomodulatory effects improved the bird clinical protection against virulent NDV challenge. To conclude, we introduced a new compound for the poultry industry sector that has antiviral and immunostimulant properties when supplemented orally before or during NDV infection.Although optic neuritis and myelitis are the core clinical characteristics of neuromyelitis optica spectrum disorders (NMOSD), appropriate animal models of NMOSD with myelitis and optic neuritis are lacking. we developed a mouse model of NMOSD by intravenously injecting 100 µg neuromyelitis optica immunoglobulin G antibody (NMO-IgG) and complement into experimental allergic encephalomyelitis (EAE) mice after reversible blood-brain barrier (BBB) opening by microbubble-enhanced low-frequency ultrasound (MELFUS). Animals were assessed by histopathology. We found noticeable inflammation and demyelination concomitant with the loss of aquaporin-4 (AQP4) and glial fibrillary acidic protein (GFAP) expression in the spinal cord, brain and optic nerve, as well as human IgG and C9neo deposition. Thus, with the help of MELFUS, we established an NMOSD mouse model with the core lesions of NMOSD by applying a considerably lower dose of human NMO-IgG, which may help identify the pathogenesis and facilitate the development of other neuroimmune disease models in the future.

Brain tumor resection by craniotomy is associated with a high risk of deep vein thrombosis (DVT). This study evaluated the incidence and preoperative and intraoperative risk factors for DVT within 30days of surgery.

The analysis included 1) basic clinical variables (patient age, sex, body mass index [BMI], tumor location, and tumor histology); 2) blood test results before operation, such as leukocytes, platelets, and coagulation parameters; and 3) surgical factors (total amount of blood lost, anesthesia mode, and surgery duration).

Of the 1670 patients, 206 (12.34%) had DVT and nine (0.54%) had both DVT and pulmonary embolism (PE) after surgery. Preoperative and intraoperative factors independently associated with DVT/PE were older age 46-55years (odds ratio [OR] 2.87; 95% confidence interval [CI] 1.83-4.50; P<0.001), age 56-65years (OR 5.24; 95% CI 3.27-8.40; P<0.001), age>65years (OR 6.00; 95% CI 3.45-10.45; P<0.001), BMI (OR 1.03; 95% CI 1.00-1.05; P=0.029), activated partial thromboplastin time [APTT] (OR 0.91; 95% CI 0.86-0.95; P=0.000), D-dimer (OR 1.69; 95% CI 1.23-2.34; P=0.001), high-grade glioma (OR 2.09; 95% CI 1.28-3.40; P=0.003), glio-neuronal (OR 3.30; 95% CI 1.28-8.47; P=0.013), craniopharyngioma (OR 2.16; 95% CI 1.13-4.10; P=0.019), and surgery duration (OR 1.82; 95% CI 1.27-2.60; P=0.001).

Older age, BMI, preoperative APTT, D-dimer, tumor histology, and surgery duration independently increased the risk of developing postoperative DVT/PE. These findings provide prognostic information that will guide therapies aimed at minimizing the development of DVT/PE during hospitalization.

Older age, BMI, preoperative APTT, D-dimer, tumor histology, and surgery duration independently increased the risk of developing postoperative DVT/PE. These findings provide prognostic information that will guide therapies aimed at minimizing the development of DVT/PE during hospitalization.

The direct oral anti-coagulants (DOAC) edoxaban and rivaroxaban are suggested treatment alternatives for cancer-associated venous thromboembolism (VTE) together with low molecular-weight heparins. New studies indicate that the DOAC apixaban also is an option for cancer-associated VTE. The current study assessed recurrent VTE, arterial thrombosis, bleedings and adverse events in a cohort of apixaban treated cancer patients with VTE.

Single-arm, interventional study of apixaban as treatment of cancer-associated VTE. Inclusion criteria were cancer with objectively verified VTE. Patients received apixaban 10mg bid for seven days, then 5mg bid for six months. Primary efficacy and safety outcomes were recurrent VTE and bleeding respectively. This trial is registered with ClinicalTrials.gov identifier NCT02581176.

We recruited 298 cancer patients with VTE. During six months treatment, recurrent VTE or death related to VTE occurred in 12 patients (4.0%, 95% confidence interval (CI) 2.1-6.9%). Major bleeding occurred in 16 patients (5.