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2. Guidance for the Management of Patients with Vascular Disease or Cardiovascular Risk Factors and COVID-19: Position Paper from VAS-European Independent Foundation in Angiology/Vascular Medicine

Author

Gerotziafas G. T., Catalano M., Colgan M. -P., Pecsvarady Z., Wautrecht J. C., Fazeli B., Olinic D. -M., Farkas K., Elalamy I., Falanga A., Fareed J., Papageorgiou C., Arellano R. S., Agathagelou P., Antic D., Auad L., Banfic L., Bartolomew J. R., Benczur B., Bernardo M. B., Boccardo F., Cifkova R., Cosmi B., De Marchi S., Dimakakos E., Dimopoulos M. A., Dimitrov G., Durand-Zaleski I., Edmonds M., El Nazar E. A., Erer D., Esponda O. L., Gresele P., Gschwandtner M., Gu Y., Heinzmann M., Hamburg N. M., Hamade A., Jatoi N. -A., Karahan O., Karetova D., Karplus T., Klein-Weigel P., Kolossvary E., Kozak M., Lefkou E., Lessiani G., Liew A., Marcoccia A., Marshang P., Marakomichelakis G., Matuska J., Moraglia L., Pillon S., Poredos P., Prior M., Salvador D. R. K., Schlager O., Schernthaner G., Sieron A., Spaak J., Spyropoulos A., Sprynger M., Suput D., Stanek A., Stvrtinova V., Szuba A., Tafur A., Vandreden P., Vardas P. E., Vasic D., Vikkula M., Wennberg P., Zhai Z., Bikdeli B., Guo Y., Harenberg J., Hu Y., Lip G. Y. H., Roldan V., Gerotziafas, G, Catalano, M, Colgan, M, Pecsvarady, Z, Wautrecht, J, Fazeli, B, Olinic, D, Farkas, K, Elalamy, I, Falanga, A, Fareed, J, Papageorgiou, C, Arellano, R, Agathagelou, P, Antic, D, Auad, L, Banfic, L, Bartolomew, J, Benczur, B, Bernardo, M, Boccardo, F, Cifkova, R, Cosmi, B, De Marchi, S, Dimakakos, E, Dimopoulos, M, Dimitrov, G, Durand-Zaleski, I, Edmonds, M, El Nazar, E, Erer, D, Esponda, O, Gresele, P, Gschwandtner, M, Gu, Y, Heinzmann, M, Hamburg, N, Hamade, A, Jatoi, N, Karahan, O, Karetova, D, Karplus, T, Klein-Weigel, P, Kolossvary, E, Kozak, M, Lefkou, E, Lessiani, G, Liew, A, Marcoccia, A, Marshang, P, Marakomichelakis, G, Matuska, J, Moraglia, L, Pillon, S, Poredos, P, Prior, M, Salvador, D, Schlager, O, Schernthaner, G, Sieron, A, Spaak, J, Spyropoulos, A, Sprynger, M, Suput, D, Stanek, A, Stvrtinova, V, Szuba, A, Tafur, A, Vandreden, P, Vardas, P, Vasic, D, Vikkula, M, Wennberg, P, Zhai, Z, Bikdeli, B, Guo, Y, Harenberg, J, Hu, Y, Lip, G, Roldan, V, Centre de Recherche Saint-Antoine (CR Saint-Antoine), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CHU Tenon [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Trinity College Dublin, Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Mashhad University of Medical Sciences, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Gerotziafas G.T., Catalano M., Colgan M.-P., Pecsvarady Z., Wautrecht J.C., Fazeli B., Olinic D.-M., Farkas K., Elalamy I., Falanga A., Fareed J., Papageorgiou C., Arellano R.S., Agathagelou P., Antic D., Auad L., Banfic L., Bartolomew J.R., Benczur B., Bernardo M.B., Boccardo F., Cifkova R., Cosmi B., De Marchi S., Dimakakos E., Dimopoulos M.A., Dimitrov G., Durand-Zaleski I., Edmonds M., El Nazar E.A., Erer D., Esponda O.L., Gresele P., Gschwandtner M., Gu Y., Heinzmann M., Hamburg N.M., Hamade A., Jatoi N.-A., Karahan O., Karetova D., Karplus T., Klein-Weigel P., Kolossvary E., Kozak M., Lefkou E., Lessiani G., Liew A., Marcoccia A., Marshang P., Marakomichelakis G., Matuska J., Moraglia L., Pillon S., Poredos P., Prior M., Salvador D.R.K., Schlager O., Schernthaner G., Sieron A., Spaak J., Spyropoulos A., Sprynger M., Suput D., Stanek A., Stvrtinova V., Szuba A., Tafur A., Vandreden P., Vardas P.E., Vasic D., Vikkula M., Wennberg P., Zhai Z., Bikdeli B., Guo Y., Harenberg J., Hu Y., Lip G.Y.H., Roldan V., and UCL - SSS/DDUV/GEHU - Génétique

Subjects
030204 cardiovascular system & hematology, antithrombotic, antiplatelet, chemistry.chemical_compound, 0302 clinical medicine, Rivaroxaban, Risk Factors, cardiovascular disease, Thrombophilia, 030212 general & internal medicine, antiplatelets, low-molecular-weight heparin, Societies, Medical, Low-Molecular-Weight, Hematology, 3. Good health, Europe, Cardiovascular Diseases, Thrombosi, Practice Guidelines as Topic, Position Paper, Risk assessment, medicine.drug, Human, medicine.medical_specialty, anticoagulants, medicine.drug_class, DOAC, Cardiology, Low molecular weight heparin, peripheral artery disease, deep vein thrombosis, 03 medical and health sciences, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Medical, medicine, Humans, COVID-19 - cardiovascular disease - peripheral artery disease - deep vein thrombosis - antithrombotic - antiplatelets - anticoagulants - low-molecular-weight heparin - DOAC, Intensive care medicine, Contraindication, Angiology, Inflammation, Vascular disease, business.industry, Heparin, SARS-CoV-2, Risk Factor, anticoagulant, deep vein thrombosi, COVID-19, Thrombosis, Heparin, Low-Molecular-Weight, medicine.disease, COVID-19 Drug Treatment, chemistry, Betrixaban, business, Societies
Abstract

COVID-19 is also manifested with hypercoagulability, pulmonary intravascular coagulation, microangiopathy, and venous thromboembolism (VTE) or arterial thrombosis. Predisposing risk factors to severe COVID-19 are male sex, underlying cardiovascular disease, or cardiovascular risk factors including noncontrolled diabetes mellitus or arterial hypertension, obesity, and advanced age. The VAS-European Independent Foundation in Angiology/Vascular Medicine draws attention to patients with vascular disease (VD) and presents an integral strategy for the management of patients with VD or cardiovascular risk factors (VD-CVR) and COVID-19. VAS recommends (1) a COVID-19-oriented primary health care network for patients with VD-CVR for identification of patients with VD-CVR in the community and patients' education for disease symptoms, use of eHealth technology, adherence to the antithrombotic and vascular regulating treatments, and (2) close medical follow-up for efficacious control of VD progression and prompt application of physical and social distancing measures in case of new epidemic waves. For patients with VD-CVR who receive home treatment for COVID-19, VAS recommends assessment for (1) disease worsening risk and prioritized hospitalization of those at high risk and (2) VTE risk assessment and thromboprophylaxis with rivaroxaban, betrixaban, or low-molecular-weight heparin (LMWH) for those at high risk. For hospitalized patients with VD-CVR and COVID-19, VAS recommends (1) routine thromboprophylaxis with weight-adjusted intermediate doses of LMWH (unless contraindication); (2) LMWH as the drug of choice over unfractionated heparin or direct oral anticoagulants for the treatment of VTE or hypercoagulability; (3) careful evaluation of the risk for disease worsening and prompt application of targeted antiviral or convalescence treatments; (4) monitoring of D-dimer for optimization of the antithrombotic treatment; and (5) evaluation of the risk of VTE before hospital discharge using the IMPROVE-D-dimer score and prolonged post-discharge thromboprophylaxis with rivaroxaban, betrixaban, or LMWH.

Published
2020

3. Computational issues by interpolating with inverse multiquadrics: a solution

Author

De Marchi, S., Egidi, N., Giacomini, J., Maponi, P., and Perticarini, A.

Subjects
MathematicsofComputing_NUMERICALANALYSIS, FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA)
Abstract

We consider the interpolation problem with the inverse multiquadric radial basis function. The problem usually produces a large dense linear system that has to be solved by iterative methods. The efficiency of such methods is strictly related to the computational cost of the multiplication between the coefficient matrix and the vectors computed by the solver at each iteration. We propose an efficient technique for the calculation of the product of the coefficient matrix and a generic vector. This computation is mainly based on the well-known spectral decomposition in spherical coordinates of the Green's function of the Laplacian operator. We also show the efficiency of the proposed method through numerical simulations.

Published
2022
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7. Glucose Metabolism In Early Renal Failure

Author

Catena, C, Soardo, G, Melis, A, De Marchi, S, Sechi, La, Kobayashi, S., Moriya, H., and Ohtake, T.

Subjects
medicine.medical_specialty, Endocrinology, Insulin resistance, Nephrology, business.industry, Internal medicine, Disease progression, Medicine, Creatinine blood, Carbohydrate metabolism, business, medicine.disease, Renal glucose reabsorption
Published
2005

9. Hypomagnesaemia and increased sympathetic nervous system activity in the alcohol withdrawal syndrome

Author

Cecchin E and De Marchi S

Subjects
medicine.medical_specialty, Sympathetic nervous system, Ethanol, Kindling, business.industry, Metabolic disorder, General Medicine, medicine.disease, Hypomagnesemia, Substance Withdrawal Syndrome, chemistry.chemical_compound, Endocrinology, medicine.anatomical_structure, chemistry, Anesthesia, Alcohol withdrawal syndrome, Internal medicine, medicine, Humans, Withdrawal syndrome, business, Magnesium Deficiency
Published
1987

10. Glycosylated or Carbamylated Hemoglobin in Uremia?

Author

Cecchin E, De Marchi S, Tesio F, and P. Quaia

Subjects
Glycated Hemoglobin, Carbamylated hemoglobin, business.industry, Hemoglobin A, General Medicine, Glucose Tolerance Test, Pharmacology, medicine.disease, Uremia, Renal Dialysis, medicine, Humans, Carbamates, business
Published
1982

11. RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels

Author

Angeles Martinez, S. De Marchi, Emma Perracchione, Milvia Rossini, De Marchi, S., MARTINEZ CALOMARDO, Angele, Perracchione, E., Rossini, M., De Marchi, S, Martínez, A, Perracchione, E, and Rossini, M

Subjects
Variably scaled kernels, Crack propagation, Stability (learning theory), Partition of unity method, Radial basis functions, Meshfree approximation, Elliptic Partial Differential Equations, Variably scaled kernels, Elliptic PDEs, Residual, 01 natural sciences, Theoretical Computer Science, Radial basis functions, Partition of unity method, Convergence (routing), Applied mathematics, Radial basis function, Meshfree approximation, Function, 0101 mathematics, Heat conduction, Radial basis function networks, Elliptic PDE, Elliptic PDE, Mathematics, Image segmentation, Numerical Analysis, Collocation, Meshfree, Applied Mathematics, General Engineering, Variably scaled kernels, 010101 applied mathematics, Computational Mathematics, Computational Theory and Mathematics, Partition of unity, Elliptic partial differential equation, Elliptic Partial Differential Equations, Software, Numerical stability
Abstract

We investigate adaptivity issues for the approximation of Poisson equations via radial basis function-based partition of unity collocation. The adaptive residual subsampling approach is performed with quasi-uniform node sequences leading to a flexible tool which however might suffer from numerical instability due to ill-conditioning of the collocation matrices. We thus develop a hybrid method which makes use of the so-called variably scaled kernels. The proposed algorithm numerically ensures the convergence of the adaptive procedure. © 2018, Springer Science+Business Media, LLC, part of Springer Nature

Published
2018

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