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9 results on '"Angeli, S."'

1. Experimental measurements and mathematical modeling towards quantification of brain swelling stress

Author

Angeli, S., Stylianopoulos, T., and Stylianopoulos, T. [0000-0002-3093-1696]

Subjects
Osmosis, Solid stress, Brain Edema, 02 engineering and technology, 0302 clinical medicine, Ionic strength, Osmotic pressure, Brain swelling, Stresses, Orthopedics and Sports Medicine, Confined compression, octoxinol, brain edema, Interstitial fluid pressure, Rehabilitation, Brain, Solutions, sodium chloride, Swelling, medicine.symptom, Interstitial fluid pressures, Materials science, Traumatic brain injury, 0206 medical engineering, Biomedical Engineering, Biophysics, Models, Biological, Article, animal tissue, Stress (mechanics), 03 medical and health sciences, Murine brain, Osmotic Pressure, medicine, computer simulation, Animals, Computer Simulation, mouse, nonhuman, Tissue, Fixed charge density, Osmolar Concentration, Mechanical testing, medicine.disease, 020601 biomedical engineering, solution and solubility, Mice, Inbred C57BL, Donnan effect, Donnan effects, osmotic pressure, osmotic stress, Stress, Mechanical, 030217 neurology & neurosurgery, mathematical model, Biomedical engineering
Abstract

Traumatic brain injury results in brain tissue swelling which can be a life threatening condition due to skull confinement. While previous efforts successfully measured the exhibited volume change in brain tissue swelling, no data exist to provide information about the exhibited stresses. In this study, confined compression mechanical testing was employed to measure swelling stress in murine brain tissue samples by varying the ionic concentration of the bathing solutions. Subsequently, computer simulations of the experimental protocol were employed to confirm a triphasic mathematical model describing the effect and provide insights into the experimental data. We measured the swelling stress to be in the range of 1.2–6.7 kPa (9.0–50.2 mmHg) depending on the ionic strength of the bathing solution, while a good correspondence was demonstrated among the experimentally measured and simulated responses. Furthermore, the mathematical model featured the osmotic pressure as the primary contributor to the swelling stress, while a parametric analysis showed that the densities of the intracellular fixed charges and of the non-permeable solutes significantly affect the swelling stress. © 2017 Elsevier Ltd 56 42 47 42-47

Published
2016

2. Are all people with diabetes and cardiovascular risk factors or microvascular complications at very high risk? Findings from the Risk and Prevention Study

Author

Marzona, I., Avanzini, F., Lucisano, G., Tettamanti, M., Baviera, M., Nicolucci, A., Roncaglioni, M. C., Tombesi, M., Tognoni, G., Massa, E., Marrocco, W., Micalella, M., Caimi, V., Longoni, P., Franzosi, M. G., Monesi, L., Pangrazzi, I., Barlera, S., Milani, V., Nicolis, E., Casola, C., Clerici, F., Palumbo, A., Sgaroni, G., Marchioli, R., Silletta, M. G., Pioggiarella, R., Scarano, M., Marfisi, R. M., Flamminio, A., Macino, L., Ferri, B., Pera, C., Polidoro, A., Abbatino, D., Acquati, M., Addorisio, G., Adinolfi, D., Adreani, L., Agistri, M. R., Agneta, A., Agnolio, M. L., Agostini, N., Agostino, G., Airo, A., Alaimo, N., Albano, M., Albano, N., Alecci, G., Alemanno, S., Alexanian, A., Alfarano, M., Alfe, L., Alonzo, N., Alvino, S., Ancora, A., Andiloro, S., Andreatta, E., Angeli, S., Angiari, F., Angilletti, V., Annicchiarico, C., Anzivino, M., Aprea, R., Aprile, A., Aprile, E., Aprile, I., Aprile, L., Armellani, V., Arnetoli, M., Aronica, A., Autiero, V., Bacca, G., Baccalaro, A. M., Bacci, M., Baglio, G., Bagnani, M., Baiano, A., Baldari, A., Ballarini, L., Banchi, G., Bandera, R., Bandini, F., Baratella, M., Barbieri, A., Barbieri Vita, A., Bardi, M., Barlocchi, M., Baron, P., Bartoli, M., Basile, A., Basile, F., Basile, S., Battaggia, A., Battaglia, A., Bau, A., Beconcini, G., Beggio, R., Belfiore, P. A., Belicchi, M., Bellamoli, S., Bellini, C., Bellomo, M., Benetollo, C., Benetti, R., Beretta, E., Bertalero, P., Bertaso, F. G., Bertolani, U., Bettelli, G., Biagiotti, G., Bianchi, S., Bianco, G., Biccari, F., Bigioli, F., Bindi, M., Bisanti, G., Bitetti, E. M., Blasetti, M. P., Blesi, F., Boato, V., Boga, S., Boidi, E., Boldrin, G., Bollati, A., Bolzan, L., Bolzonella, S., Bonardi, P., Bonato, G. B., Bonci, M., Bonfitto, G., Bonincontro, E., Boninsegna, F., Bonissone, D., Bono, L., Bonollo, E., Borghi, M., Borioli, N., Borsatto, M., Bosco, T., Bosisio Pioltelli, M., Botarelli, C., Botassis, S., Bottini, F., Bottos, C., Bova, G., Bova, V., Bozzani, A., Bozzetto, R. M., Braga, V. T., Braglia, M., Bramati, E., Brazzoli, C., Breglia, G., Brescia, A., Briganti, D., Brigato, G., Brocchi, A., Brosio, F. A., Bruni, E., Buscaglia, E., Bussini, M. D., Bussotti, A., Buzzaccarini, F., Buzzatti, A., Caccamo, G., Cacciavillani, C., Caggiano, G., Calciano, F. P., Calderisi, M., Calienno, S., Caltagirone, P., Calzolari, I., Cammisa, M., Campanaro, M., Campanella, G. B., Campese, F., Canali, G., Candiani, D. E. L., Canepa, R., Canini, D., Canino, A., Cantoro, E. A., Capilupi, V., Capotosto, P., Cappelli, B., Capraro, G., Carafa, F. A., Carano, Q., Carcaterra, V., Carriero, D., Carrozzo, G., Cartanese, M., Casalena, M., Casarola, M., Caso, C., Casotto, M., Castaldi, F., Castegnaro, R., Castellani, G., Castri, S., Catalano, E., Catinello, N., Caturano, G., Cavallaro, R., Cavallo, A. M., Cavallo, G., Cavion, M. T., Cavirani, G., Cazzaniga, F., Cazzetta, D., Cecconi, V., Cefalo, A., Celebrano, M., Celora, A., Centonze, P., Cerati, D., Cesaretti, D., Checchia, G., Checchin, A., Cherubini, M., Chianese, L., Chiappa, A., Chiappa, M. V., Chiariello, G., Chiavini, G., Chicco, M., Chiumeo, F., Ciacciarelli, A., Ciaci, D., Ciancaglini, R., Cicale, C., Cicale, S., Cipolla, A., Ciruolo, A., Citeri, A. L., Citterio, G., Clerici, M., Coazzoli, E., Collecchia, G., Colletta, F., Colombo, I., Colorio, P., Coluccia, S., Comerio, M., Comoretto, P., Compagni, M., Conte, O., Contri, S., Contrisciani, A., Coppetti, T., Corasaniti, F., Corradi, M. T., Corsano, A., Corsini, A., Corti, N., Costantini, G., Costantino, A., Cotroneo, S., Cozzi, D., Cravello, M. G., Cristiano, E., Cucchi, R., Cusmai, L., D'Errico, G. B., D'Agostino, P., Dal Bianco, L., Dal Mutto, U., Dal Pozzo, G., Dallapiccola, P., Dallatorre, G., Dalle Molle, G., Dalloni, E., D'Aloiso, A., D'Amicis, G., Danese, R., Danieli, D., Danisi, G., D'Anna, M. A., Danti, G., D'Ascanio, S., Davidde, G., De Angeli, D., De Bastiani, R., De Battisti, A., De Bellis, A., De Berardinis, G., De Carlo, F., De Giorgi, D., De Gobbi, R., De Lorenzis, E., De Luca, P., De Martini, G., De Marzi, M., De Matteis, D., De Padova, S., De Polo, P., De Sabato, N., De Stefano, T., De Vita, M. T., De Vito, U., De Zolt, V., Debernardi, F., Del Carlo, A., Del Re, G., Del Zotti, F., D'Elia, R., Della Giovanna, P., Dell'Acqua, L., Dell'Orco, R. L., Demaria, G., Di Benedetto, M. G., Di Chiara, G., Di Corcia, V., Di Domizio, O., Di Donato, P., Di Donato, S., Di Fermo, G., Di Franco, M., Di Giovannantonio, G., Di Lascio, G., Di Lecce, G., Di Lorenzo, N., Di Maro, T., Di Mattia, Q., Di Michele, E., Di Modica, R. S., Di Murro, D., Di Noi, M. C., Di Paoli, V., Di Santi, M., Di Sanzo, A., Di Turi, C., Diazzi, A., Dileo, I., D'Ingianna, A. P., Dolci, A., Dona, G., Donato, C., Donato, P., Donini, A., Donna, M. E., Donvito, T. V., Esposito, L., Esposito, N., Evangelista, M., Faita, G., Falco, M., Falcone, D. A., Falorni, F., Fanciullacci, A., Fanton, L., Fasolo, L., Fassina, R., Fassone, A., Fatarella, P., Fedele, F., Fera, I., Fera, L., Ferioli, S., Ferlini, M. G., Ferlino, R., Ferrante, G., Ferrara, F. N., Ferrarese, M. F., Ferrari, G., Ferrari, O., Ferreri, A., Ferroni, M., Fezzi, G., Figaroli, C., Fina, M. G., Fioretta, A., Fiorucci, C., Firrincieli, R., Fischetti, M., Fischietti, G., Fiume, D. C., Flecchia, G., Forastiere, G., Fossati, B., Franceschi, P. L., Franchi, L., Franzoso, F., Frapporti, G., Frasca, G., Frisotti, A., Fumagalli, G., Fusco, D., Gabriele, P., Gabrieli, A., Gagliano, D., Galimberti, G., Galli, A., Gallicchio, N., Gallio, F., Gallipoli, T., Gallo, P., Galopin, T., Gambarelli, L., Garbin, A., Garozzo, G. M., Gasparri, R., Gastaldo, M., Gatti, E., Gazzaniga, P., Gennachi, N., Gentile, R. V., Germani, P., Gesualdi, F., Gherardi, E., Ghezzi, C., Ghidini, M. G., Ghionda, F., Giacci, L., Gialdini, D., Giampaolo, C., Giancane, R., Giannanti, A., Giannese, S., Giannini, L., Giaretta, M., Giaretta, R., Giavardi, L., Giordano, P., Giordano, E., Giordano, B., Gioria, G. M., Giugliano, R., Grassi, E. A., Greco, A., Greco, L., Grilletti, N., Grimaldi, N., Grisetti, G., Groppelli, G., Gualtieri, L., Guarducci, M., Guastella, G., Guerra, M., Guerrini, F., Guglielmini, A., Guido, A., Gulotta, P., Iacono, E., Iadarola, G., Ianiro, G., Iarussi, V., Ieluzzi, M. L., Ierardi, C., Ingaldi, F., Interlandi, S., Iocca, M., Iorno, A., Ioverno, E., Iurato, R., La Pace, L., La Piscopia, C., La Selva, R., Lafratta, M., Lamparelli, M., Lanaro, G., Lancerotto, R., Larcher, M., Lassandro, M., Lattuada, G., Laurino, P., Lefons, C., Legrottaglie, F., Lemma, A., Leone, D., Leone, F., Leso, A., Leuzzi, G., Levato, G., Libardi, L., Libralesso, N., Licini, P. I., Licursi, G., Lidonnici, F., Lillo, C., Liveri, L., Livio, A., Loiero, R. A., Loison, M., Lombardo, G., Lombardo, T., Lomunno, V., Lomuscio, S., Lonedo, A., Longo, E., Lora, L., Lotterio, A., Lucatello, L., Luongo, A., Lupoli, M., Macchia, C., Macri, G., Mafessanti, M., Maggialetti, V., Maggioni, A., Magnani, M., Maiellaro, G., Mancuso, A., Maniglio, A. R., Mannari, G. L., Manni, A., Manocchio, B., Mao, M., Marano, A., Maraone, E., Marascio, D., Marcheselli, P., Marchetto, B., Marchetto, S., Marchi, A., Marchi, G. L., Mariano, C., Marinacci, S., Marinelli, S., Marini, G., Marra, V. C., Marrali, F., Marseglia, C., Martello, G., Martino, C., Martino, G., Martino, M., Marulli, C. F., Maruzzi, G., Marzotti, A., Mascheroni, G., Mascolo, P., Masoch, G., Masone, R., Massa, L., Massafra, M., Massi, M., Massignani, D. M., Matarese, A. M., Matini, G., Mauro, R., Mazzi, M., Mazzillo, A., Mazzocato, E., Mazzoleni, N. S., Mazzone, A., Melacci, A., Mele, E., Meliota, P., Menaspa, S., Meneghello, F., Merola, G., Merone, L., Metrucci, A., Mezzina, V., Micchi, A., Michielon, A., Migliore, N., Minero, G., Minotta, F., Mirandola, C., Mistrorigo, S., Modafferi, L., Moitre, R., Mola, E., Monachese, C., Mongiardini, C., Montagna, F., Montani, M., Montemurno, I., Montolli, R., Montorsi, S., Montresor, M., Monzani, M. G., Morabito, F., Mori, G., Moro, A., Mosca, M. F., Motti, F., Muddolon, L., Mugnai, M., Muscas, F., Naimoli, F., Nanci, G., Nargi, E., Nasorri, R., Nastrini, G., Negossi, M., Negrini, A., Negroni, A., Neola, V., Niccolini, F., Niro, C. M., Nosengo, C., Novella, G., Nuti, C., Obici, F., Olita, C., Oliverio, S. S., Olivieri, I., Oriente, S., Orlando, G., Paci, C., Pagano, G., Pagliara, C., Paita, G., Paladini, G., Paladino, G., Palano, T., Palatella, A., Palermo, P., Palmisano, M., Pando, P., Panessa, P., Panigo, F., Panozzo, G., Panvini, F., Panzieri, F., Panzino, A., Panzitta, F., Paoli, N., Papagna, R., Papaleo, M. G., Papalia, G., Parisi, R., Parotti, N., Parravicini, D., Passarella, P., Pastore, G. A., Patafio, M., Pavone, P., Pedroli, W., Pedroni, M., Pelligra, G., Pellizzari, M., Penati, A., Perlot, M., Perrone, A., Perrone, G., Peruzzi, P., Peselli, C., Petracchini, L., Petrera, L., Petrone, S., Peverelli, C., Pianorsi, F., Piazza, G. P., Piazzolla, G., Picci, A., Pienabarca, G., Pietronigro, T. P., Pignocchino, P., Pilone, R., Pinto, D., Pirovano, E., Pirrotta, D., Pisante, V., Pitotto, P., Pittari, L., Piva, A., Pizzoglio, A., Plantera, O. R., Plebani, W., Plessi, S., Podrecca, D., Poerio, V., Poggiani, F., Pogliani, W., Poli, L., Poloni, F. G., Porcelli, R., Porto, S., Pranzo, L., Prevedello, C., Profeta, C., Profico, D., Punzi, A., Quaglia, G. M., Racano, M., Raccone, A., Radice, F., Raho, C. A., Raimondi, R., Raino, M., Ramponi, R., Ramunni, A., Ramunni, A. L., Ravasio, F., Ravera, M., Re Sarto, G., Rebustello, G., Regazzoli, S., Restelli, C., Rezzonico, M., Ricchiuto, F., Rigo, S., Rigon, G., Rigon, R., Rinaldi, O. V., Rinaldi, M., Risplendente, P. G., Rispoli, M., Riundi, R., Riva, M. G., Rizzi, A. L., Rizzi, D., Rizzo, L. D., Rocchi, L., Rondinone, B., Rosa, B., Rosati, F., Roselli, F., Rossetti, A., Rossetti, C., Rossi, R., Rossi, P. R., Rossi, A., Rossi, C. L., Rossitto, A., Ruffini, R., Ruffo, A., Ruggio, S., Ruo, M., Russo, B., Russo, L., Russo, R., Russo, S., Russo, U., Russo, V., Ruta, G., Sacchi, F., Sacco Botto, F., Saia, A., Salladini, G., Salmoiraghi, S., Saluzzo, F., Salvatore, C., Salvatori, E., Salvio, G., Sandri, P., Sandrini, T., Sangermano, V., Santoni, N., Saracino, A. D., Saracino, A., Sarasin, P., Sardo Infirri, C., Sarri, B., Sartori, G., Sartori, N., Sauro, C., Scaglioni, M., Scalfi, C., Scamardella, A. M., Scandale, G., Scandone, L., Scannavini, G., Scarati, R., Scardi, A., Scarpa, F. M., Scazzi, P., Schifone, A., Schiroso, G., Scigliano, G., Scilla, A., Sciortino, M., Scolaro, G., Scollo, E., Scorretti, G., Sellitti, R., Selmo, A., Selvaggio, G., Sempio, A., Seren, F., Serio, L., Serra, C., Serra, L., Siciliano, D., Sideri, A., Sighele, M., Signore, R., Siliberto, F., Silvestro, M., Simioni, G., Simmini, G., Simonato, L., Sinchetto, F., Sizzano, E., Smajato, G., Smaldone, M., Sola, G., Sordillo, L., Sovran, C. S., Spagnul, P., Spano, F., Sproviero, S., Squintani, A., Stella, L., Stilo, V., Stocchiero, B., Stornello, M. C., Stracka, G., Strada, S., Stranieri, G., Stucci, N., Stufano, N., Suppa, A., Susca, V. G., Sutti, M., Taddei, M., Tagliabue, E., Tagliente, G., Talato, F., Talerico, P., Talia, R., Taranto, R., Tartaglia, M., Tauro, N., Tedesco, A., Tieri, P., Tirelli, M., Tocci, L., Todesco, P., Tognolo, M., Tomba, A., Tonello, P., Tonon, R., Toscano, L., Tosi, A., Tosi, G., Toso, S., Travaglio, P., Tremul, L., Tresso, C., Triacchini, P., Triggiano, L., Trigilio, A., Trimeloni, J., Tripicchio, G., Tritto, G. S., Trono, F., Trotta, E., Trotta, G., Tubertini, A., Turri, C., Turri, L., Tuttolani, M. P., Urago, M., Ursini, G., Valcanover, F., Valente, L., Valenti, M., Valentini, F., Vallone, G., Valz, P., Valzano, L., Vanin, V., Vatteroni, M., Vegetti, L., Vendrame, D., Veramonti, I., Veronelli, G., Vesco, A., Vicariotto, G., Vignale, G., Villa, P. L., Vinciguerra, R., Visco, A., Visentin, G., Visona, E., Vitali, E., Vitali, S., Vitti, F., Volpone, D. A., Zambon, N., Zammarrelli, A., Zanaboni, A., Zane, D., Zanetti, B., Zanibellato, R., Zappetti, M., Zappone, P., Zerilli, G., Zirino, V., Zoccali, R., Zuin, F., Altomonte, M., Anelli, N., Angio, F., Annale, P., Antonacci, S., Anzilotta, R., Bano, F., Basadonna, O., Beduschi, L., Becagli, P., Bellotti, G., Blotta, C., Bruno, G., Cappuccini, A., Caramatti, S., Cariolato, M. P., Castellana, M., Castellani, L., Catania, R., Chielli, A., Chinellato, A., Ciaccia, A., Clerici, E., Cocci, A., Costanzo, G., D'Ercole, F., De Stefano, G., Dece, F., Di Cicco, N., Di Marco, A., Donati Sarti, C., Draghi, E., Dusi, G., Esposito, V., Ferraro, L., Ferretti, A., Ferri, E., Foggetti, L., Foglia, A., Fonzi, E., Frau, G., Fuoco, M. R., Furci, G., Gallo, L., Garra, V., Giannini, A., Gris, A., Iacovino, R., Interrigi, R., Joppi, R., Laner, B., La Fortezza, G., La Padula, A., Lista, M. R., Lupi, G., Maffei, D., Maggioni, G., Magnani, L., Marrazzo, E., Marcon, L., Marino, V., Maroni, A., Martinelli, C., Mastandrea, E., Mastropierro, F., Meo, A. T., Mero, P., Minesso, E., Moschetta, V., Mosele, E., Nanni, C., Negretti, A., Nistico, C., Orsini, A., Osti, M., Pacilli, M. C., Pennestre, C., Picerno, G., Piol, K., Pivano, L., Pizzuti, E., Poggi, L., Poidomani, I., Pozzetto, M., Presti, M. L., Ravani, R., Recalenda, V., Romagnuolo, F., Rossignoli, S., Rossin, E., Sabatella, C., Sacco, F., Sanita, F., Sansone, E., Servadei, F., Sisto, M. T., Sorio, A., Sorrentino, A., Spinelli, E., Spolaor, A., Squillacioti, A., Stella, P., Talerico, A., Todisco, C., Vadino, M., and Zuliani, C.

Subjects
Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Population, 030209 endocrinology & metabolism, 030204 cardiovascular system & hematology, Overweight, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Prediction model, Internal medicine, Diabetes mellitus, Internal Medicine, Diabetes Mellitus, Medicine, Humans, Multicenter Studies as Topic, Myocardial infarction, Risk factor, education, Stroke, Aged, Randomized Controlled Trials as Topic, education.field_of_study, Lifestyle habits, business.industry, Major cardiovascular events, Atrial fibrillation, General Medicine, Middle Aged, medicine.disease, Cardiovascular Diseases, Heart failure, Physical therapy, Female, medicine.symptom, business, Diabetic Angiopathies
Abstract

To verify whether it is possible, in people with diabetes mellitus (DM) considered at very high cardiovascular (CV) risk, stratify this risk better and identify significant modifiable risk factor (including lifestyle habits) to help patients and clinicians improve CV prevention. People with DM and microvascular diseases or one or more CV risk factors (hypertension, hyperlipidemia, smoking, poor dietary habits, overweight, physical inactivity) included in the Risk and Prevention study were selected. We considered the combined endpoint of non-fatal acute myocardial infarction and stroke and CV death. A multivariate Cox proportional analysis was carried out to identify relevant predictors. We also used the RECPAM method to identify subgroups of patients at higher risk. In our study, the rate of major CV events was lower than expected (5 % in 5 years). Predictors of CV events were age, male, sex, heart failure, previous atherosclerotic disease, atrial fibrillation, insulin treatment, high HbA1c, heart rate and other CV diseases while being physically active was protective. RECPAM analysis indicated that history of atherosclerotic diseases and a low BMI defined worse prognosis (HR 4.51 95 % CI 3.04–6.69). Among subjects with no previous atherosclerotic disease, men with HbA1c more than 8 % were at higher CV risk (HR 2.77; 95 % CI 1.86–4.14) with respect to women. In this population, the rate of major CV events was lower than expected. This prediction model could help clinicians identify people with DM at higher CV risk and support them in achieving goals of physical activity and HbA1c.

Published
2016

3. The Amyotrophic Lateral Sclerosis Center: A Model of Multidisciplinary Management

Author

Angeli S. Mayadev, Lisa S. Krivickas, B. Jane Distad, Michael D. Weiss, and Gregory T. Carter

Subjects
Patient Care Team, Terminal Care, medicine.medical_specialty, Palliative care, Neurology, Rehabilitation, business.industry, medicine.medical_treatment, Amyotrophic Lateral Sclerosis, MEDLINE, Physical Therapy, Sports Therapy and Rehabilitation, medicine.disease, Patient Care Planning, Mood disorders, Multidisciplinary approach, Disease Progression, medicine, Physical therapy, Humans, Comprehensive Health Care, Spasticity, medicine.symptom, Amyotrophic lateral sclerosis, business
Abstract

Amyotrophic lateral sclerosis (ALS) is a devastating, progressive motor neuron disorder that poses a myriad of clinical problems. Patients who have ALS are best cared for in a multidisciplinary fashion, with involvement of clinicians from various specialties, including neurology, physical medicine and rehabilitation, pulmonary medicine, clinical nurse specialists or nurse practitioners, physical and occupational therapists, speech language pathologists, dietitians, psychologists, social workers, and case managers. This article provides a summary of the current research into the rehabilitation of ALS, including the role of exercise, spasticity management, mood disorders, pain, and palliative care.

Published
2008

4. Biphasic modeling of brain tumor biomechanics and response to radiation treatment

Author

Angeli, S., Stylianopoulos, T., and Stylianopoulos, T. [0000-0002-3093-1696]

Subjects
0301 basic medicine, Pathology, medicine.medical_treatment, Solid stress, Diseases, 02 engineering and technology, Heterogeneous distributions, human experiment, pressure, Cerebrospinal fluid, Models, Biomechanics, Orthopedics and Sports Medicine, nuclear magnetic resonance imaging, Cell proliferation, cancer cell, Poro-elasticity, Interstitial fluid pressure, Mathematical models, medicine.diagnostic_test, Chemistry, Brain Neoplasms, three dimensional imaging, Rehabilitation, Brain, gray matter, 3. Good health, Biomechanical Phenomena, tumor growth, medicine.anatomical_structure, Treatment Outcome, priority journal, Magnetic resonance, nuclear magnetic resonance scanner, Image reconstruction, Mechanical interactions, Three-dimensional model, white matter, brain tumor, Interstitial fluid pressures, medicine.medical_specialty, Histology, radiation response, spatial analysis, 0206 medical engineering, Biomedical Engineering, Biophysics, Brain tumor, cell survival, Models, Biological, mathematical analysis, Article, tissue pressure, White matter, 03 medical and health sciences, Magnetic resonance imaging, intratumoral fluid pressure, medicine, Pressure, cancer radiotherapy, Humans, controlled study, extracellular fluid, human, normal human, Tumors, Cell Proliferation, Mechanical Phenomena, Radiation treatments, Tissue, Radiotherapy, human cell, treatment response, Extracellular Fluid, prediction, therapy effect, biological model, Biological, medicine.disease, 020601 biomedical engineering, human tissue, tissue growth, Radiation therapy, 030104 developmental biology, Tumor progression, treatment outcome, pathology, Mathematical modeling, mechanics, Tumor progressions
Abstract

Biomechanical forces are central in tumor progression and response to treatment. This becomes more important in brain cancers where tumors are surrounded by tissues with different mechanical properties. Existing mathematical models ignore direct mechanical interactions of the tumor with the normal brain. Here, we developed a clinically relevant model, which predicts tumor growth accounting directly for mechanical interactions. A three-dimensional model of the gray and white matter and the cerebrospinal fluid was constructed from magnetic resonance images of a normal brain. Subsequently, a biphasic tissue growth theory for an initial tumor seed was employed, incorporating the effects of radiotherapy. Additionally, three different sets of brain tissue properties taken from the literature were used to investigate their effect on tumor growth. Results show the evolution of solid stress and interstitial fluid pressure within the tumor and the normal brain. Heterogeneous distribution of the solid stress exerted on the tumor resulted in a 35% spatial variation in cancer cell proliferation. Interestingly, the model predicted that distant from the tumor, normal tissues still undergo significant deformations while it was found that intratumoral fluid pressure is elevated. Our predictions relate to clinical symptoms of brain cancers and present useful tools for therapy planning. © 2016 Elsevier Ltd. 49 1524 1531 1524-1531

Published
2015

5. Modafinil Reduces Fatigue in Charcot-Marie-Tooth Disease Type 1A: A Case Series

Author

Jay J. Han, Angeli S. Mayadev, Michael D. Weiss, and Gregory T. Carter

Subjects
Adult, Diarrhea, Male, medicine.medical_specialty, Excessive daytime sleepiness, Modafinil, Anxiety, 03 medical and health sciences, 0302 clinical medicine, Atrophy, Physical medicine and rehabilitation, Charcot-Marie-Tooth Disease, 030502 gerontology, Sleep Initiation and Maintenance Disorders, Humans, Medicine, Benzhydryl Compounds, Amyotrophic lateral sclerosis, Fatigue, Aged, business.industry, Multiple sclerosis, Headache, Muscle weakness, General Medicine, Middle Aged, medicine.disease, Treatment Outcome, Research Design, 030220 oncology & carcinogenesis, Anesthesia, Central Nervous System Stimulants, Female, medicine.symptom, 0305 other medical science, business, Hereditary motor and sensory neuropathy, Narcolepsy, medicine.drug
Abstract

Charcot-Marie-Tooth disease, the most common hereditary motor and sensory neuropathy, is a slowly progressive disorder characterized by diffuse muscle weakness and prominent distal atrophy that predominantly involves the intrinsic muscles of the feet and the peroneal muscles. It results in marked reduction in functional aerobic capacity during exercise and fatigue is commonly reported. To date, no pharmacologic treatment has been shown to be effective for treating fatigue in Charcot-Marie-Tooth. Modafinil is used to treat the symptoms of fatigue and excessive daytime sleepiness in narcolepsy. However, fatigue and subsequent excessive daytime sleepiness secondary to fatigue are common symptoms in many neurologic disorders. Prior reports on patients with myotonic muscular dystrophy, multiple sclerosis, Parkinson’s disease, and amyotrophic lateral sclerosis, have shown beneficial effects of modafinil in treating fatigue. We report 4 patients with genetically confirmed Charcot-Marie-Tooth disease who had significant fatigue that was almost completely relieved by modafinil.

Published
2006

6. N-3 fatty acids in patients with multiple cardiovascular risk factors

Author

Roncaglioni, Maria Carla, Avanzini, Fausto, Barlera, Simona, Marzona, Irene, Milani, Valentina, Tombesi, Massimo, Caimi, Vittorio, Longoni, Paolo, Silletta, Maria Giuseppina, Tognoni, Gianni, Marchioli, Avanzini F, Roberto., Caimi, V, Longoni, P, Marchioli, R, Roncaglioni, Mc, Silletta, Mg, Tognoni, G, Tombesi, M, Barlera, S, Milani, V, Nicolis, Eb, Casola, C, Marzona, I, Massa, E, Marrocco, W, Micalella, M, Avanzini, F, Franzosi, Mg, Geraci, E, Giansiracusa, N, Rocchetti, L, Decarli, A, Satolli, R, Alli, C, Beghi, E, Bertele', V, Volpi, A, Baviera, M, Monesi, L, Pangrazzi, I, Nicolis, E, Clerici, F, Palumbo, A, Sgaroni, G, Pioggiarella, R, Scarano, M, Marfisi, Rm, Flamminio, A, Macino, L, Ferri, B, Pera, C, Polidoro, A, Abbatino, D, Acquati, M, Addorisio, G, Adinolfi, D, Adreani, L, Agistri, Mr, Agneta, A, Agnolio, Ml, Agostini, N, Agostino, G, Airò, A, Alaimo, N, Albano, M, Albano, N, Alecci, G, Alemanno, S, Alexanian, A, Alfarano, M, Alfè, L, Alonzo, N, Alvino, S, Ancora, A, Andiloro, S, Andreatta, E, Angeli, S, Angiari, F, Angilletti, V, Annicchiarico, C, Anzivino, M, Aprea, R, Aprile, A, Aprile, E, Aprile, I, Aprile, L, Armellani, V, Arnetoli, M, Aronica, A, Autiero, V, Bacca, G, Baccalaro, Am, Bacci, M, Baglio, G, Bagnani, M, Baiano, A, Baldari, A, Ballarini, L, Banchi, G, Bandera, R, Bandini, F, Baratella, M, Barbieri, A, Barbieri Vita, A, Bardi, M, Barlocchi, M, Baron, P, Bartoli, M, Basile, A, Basile, F, Basile, S, Battaggia, A, Battaglia, A, Baù, A, Beconcini, G, Beggio, R, Belfiore, Pa, Belicchi, M, Bellamoli, S, Bellini, C, Bellomo, M, Benetollo, C, Benetti, R, Beretta, E, Bertalero, P, Bertaso, Fg, Bertolani, U, Bettelli, G, Biagiotti, G, Bianchi, S, Bianco, G, Biccari, F, Bigioli, F, Bindi, M, Bisanti, G, Bitetti, Em, Blasetti, Mp, Blesi, F, Boato, V, Boga, S, Boidi, E, Boldrin, G, Bollati, A, Bolzan, L, Bolzonella, S, Bonardi, P, Bonato, Gb, Bonci, M, Bonfitto, G, Bonincontro, E, Boninsegna, F, Bonissone, D, Bono, L, Bonollo, E, Borghi, M, Borioli, N, Borsatto, M, Bosco, T, Bosisio Pioltelli, M, Botarelli, C, Botassis, S, Bottini, F, Bottos, C, Bova, G, Bova, V, Bozzani, A, Bozzetto, Rm, Braga, Vt, Braglia, M, Bramati, E, Brazzoli, C, Breglia, G, Brescia, A, Briganti, D, Brigato, G, Brocchi, A, Brosio, Fa, Bruni, E, Buscaglia, E, Bussini, Md, Bussotti, A, Buzzaccarini, F, Buzzatti, A, Caccamo, G, Cacciavillani, C, Caggiano, G, Calciano, Fp, Calderisi, M, Calienno, S, Caltagirone, P, Calzolari, I, Cammisa, M, Campanaro, M, Campanella, Gb, Campese, F, Canali, G, Candiani, De, Canepa, R, Canini, D, Canino, A, Cantoro, Ea, Capilupi, V, Capotosto, P, Cappelli, B, Capraro, G, Carafa, Fa, Carano, Q, Carcaterra, V, Carriero, D, Carrozzo, G, Cartanese, M, Casalena, M, Casarola, M, Caso, C, Casotto, M, Castaldi, F, Castegnaro, R, Castellani, G, Castri, S, Catalano, E, Catinello, N, Caturano, G, Cavallaro, R, Cavallo, Am, Cavallo, G, Cavion, Mt, Cavirani, G, Cazzaniga, F, Cazzetta, D, Cecconi, V, Cefalo, A, Celebrano, M, Celora, A, Centonze, P, Cerati, D, Cesaretti, D, Checchia, G, Checchin, A, Cherubini, M, Chianese, L, Chiappa, A, Chiappa, Mv, Chiariello, G, Chiavini, G, Chicco, M, Chiumeo, F, Ciacciarelli, A, Ciaci, D, Ciancaglini, R, Cicale, C, Cicale, S, Cipolla, A, Ciruolo, A, Citeri, Al, Citterio, G, Clerici, M, Coazzoli, E, Collecchia, G, Colletta, F, Colombo, I, Colorio, P, Coluccia, S, Comerio, M, Comoretto, P, Compagni, M, Conte, O, Contri, S, Contrisciani, A, Coppetti, T, Corasaniti, F, Corradi, Mt, Corsano, A, Corsini, A, Corti, N, Costantini, G, Costantino, A, Cotroneo, S, Cozzi, D, Cravello, Mg, Cristiano, E, Cucchi, R, Cusmai, L, D' Errico GB, D'Agostino, P, Dal Bianco, L, Dal Mutto, U, Dal Pozzo, G, Dallapiccola, P, Dallatorre, G, Dalle Molle, G, Dalloni, E, D'Aloiso, A, D'Amicis, G, Danese, R, Danieli, D, Danisi, G, D'Anna, Ma, Danti, G, D'Ascanio, S, Davidde, G, De Angeli, D, De Bastiani, R, De Battisti, A, De Bellis, A, De Berardinis, G, De Carlo, F, De Giorgi, D, De Gobbi, R, De Lorenzis, E, De Luca, P, De Martini, G, De Marzi, M, De Matteis, D, De Padova, S, De Polo, P, De Sabato, N, De Stefano, T, De Vita MT, De Vita, U, De Zolt, V, Debernardi, F, Del Carlo, A, Del Re, G, Del Zotti, F, D'Elia, R, Della Giovanna, P, Dell'Acqua, L, Dell'Orco, Rl, Demaria, G, Di Benedetto MG, Di Chiara, G, Di Corcia, V, Di Domizio, O, Di Donato, P, Di Donato, S, Di Fermo, G, Di Franco, M, Di Giovannantonio, G, Di Lascio, G, Di Lecce, G, Di Lorenzo, N, Di Maro, T, Di Mattia, Q, Di Michele, E, Di Modica RS, Di Murro, D, Di Noi MC, Di Paoli, V, Di Santi, M, Di Sanzo, A, Di Turi, C, Diazzi, A, Dileo, I, D'Ingianna, Ap, Dolci, A, Donà, G, Donato, C, Donato, P, Donini, A, Donna, Me, Donvito, Tv, Esposito, L, Esposito, N, Evangelista, M, Faita, G, Falco, M, Falcone, Da, Falorni, F, Fanciullacci, A, Fanton, L, Fasolo, L, Fassina, R, Fassone, A, Fatarella, P, Fedele, F, Fera, I, Fera, L, Ferioli, S, Ferlini, Mg, Ferlino, R, Ferrante, G, Ferrara, Fn, Ferrarese, Mf, Ferrari, G, Ferrari, O, Ferreri, A, Ferroni, M, Fezzi, G, Figaroli, C, Fina, Mg, Fioretta, A, Fiorucci, C, Firrincieli, R, Fischetti, M, Fischietti, G, Fiume, Dc, Flecchia, G, Forastiere, G, Fossati, B, Franceschi, Pl, Franchi, L, Franzoso, F, Frapporti, G, Frasca, G, Frisotti, A, Fumagalli, G, Fusco, D, Gabriele, P, Gabrieli, A, Gagliano, D, Galimberti, G, Galli, A, Gallicchio, N, Gallio, F, Gallipoli, T, Gallo, P, Galopin, T, Gambarelli, L, Garbin, A, Garozzo, Gm, Gasparri, R, Gastaldo, M, Gatti, E, Gazzaniga, P, Gennachi, N, Gentile, Rv, Germani, P, Gesualdi, F, Gherardi, E, Ghezzi, C, Ghidini, Mg, Ghionda, F, Giacci, L, Gialdini, D, Giampaolo, C, Giancane, R, Giannanti, A, Giannese, S, Giannini, L, Giaretta, M, Giaretta, R, Giavardi, L, Giordano, P, Giordano, E, Giordano, B, Gioria, Gm, Giugliano, R, Grassi, Ea, Greco, A, Greco, L, Grilletti, N, Grimaldi, N, Grisetti, G, Groppelli, G, Gualtieri, L, Guarducci, M, Guastella, G, Guerra, M, Guerrini, F, Guglielmini, A, Guido, A, Gulotta, P, Iacono, E, Iadarola, G, Ianiro, G, Iarussi, V, Ieluzzi, Ml, Ierardi, C, Ingaldi, F, Interlandi, S, Iocca, M, Iorno, A, Ioverno, E, Iurato, R, La Pace, L, La Piscopia, C, La Selva, R, Lafratta, M, Lamparelli, M, Lanaro, G, Lancerotto, R, Larcher, M, Lassandro, M, Lattuada, G, Laurino, P, Lefons, C, Legrottaglie, F, Lemma, A, Leone, D, Leone, F, Leso, A, Leuzzi, G, Levato, G, Libardi, L, Libralesso, N, Licini, Pi, Licursi, G, Lidonnici, F, Lillo, C, Liveri, L, Livio, A, Loiero, Ra, Loison, M, Lombardo, G, Lombardo, T, Lomunno, V, Lomuscio, S, Lonedo, A, Longo, E, Lora, L, Lotterio, A, Lucatello, L, Luongo, A, Lupoli, M, Macchia, C, Macri, G, Mafessanti, M, Maggialetti, V, Maggioni, A, Magnani, M, Maiellaro, G, Mancuso, A, Maniglio, Ar, Mannari, Gl, Manni, A, Manocchio, B, Mao, M, Maranò, A, Maraone, E, Marascio, D, Marcheselli, P, Marchetto, B, Marchetto, S, Marchi, A, Marchi, Gl, Mariano, C, Marinacci, S, Marinelli, S, Marini, G, Marra, Vc, Marrali, F, Marseglia, C, Martello, G, Martino, C, Martino, G, Martino, M, Marulli, Cf, Maruzzi, G, Marzotti, A, Mascheroni, G, Mascolo, P, Masoch, G, Masone, R, Massa, L, Massafra, M, Massi, M, Massignani, Dm, Matarese, Am, Matini, G, Mauro, R, Mazzi, M, Mazzillo, A, Mazzocato, E, Mazzoleni, Ns, Mazzone, A, Melacci, A, Mele, E, Meliota, P, Menaspà, S, Meneghello, F, Merola, G, Merone, L, Metrucci, A, Mezzina, V, Micchi, A, Michielon, A, Migliore, N, Minero, G, Minotta, F, Mirandola, C, Mistrorigo, S, Modafferi, L, Moitre, R, Mola, E, Monachese, C, Mongiardini, C, Montagna, F, Montani, M, Montemurno, I, Montolli, R, Montorsi, S, Montresor, M, Monzani, Mg, Morabito, F, Mori, G, Moro, A, Mosca, Mf, Motti, F, Muddolon, L, Mugnai, M, Muscas, F, Naimoli, F, Nanci, G, Nargi, E, Nasorri, R, Nastrini, G, Negossi, M, Negrini, A, Negroni, A, Neola, V, Niccolini, F, Niro, Cm, Nosengo, C, Novella, G, Nuti, C, Obici, F, Olita, C, Oliverio, Ss, Olivieri, I, Oriente, S, Orlando, G, Paci, C, Pagano, G, Pagliara, C, Paita, G, Paladini, G, Paladino, G, Palano, T, Palatella, A, Palermo, P, Palmisano, M, Pando, P, Panessa, P, Panigo, F, Panozzo, G, Panvini, F, Panzieri, F, Panzino, A, Panzitta, F, Paoli, N, Papagna, R, Papaleo, Mg, Papalia, G, Parisi, R, Parotti, N, Parravicini, D, Passarella, P, Pastore, Ga, Patafio, M, Pavone, P, Pedroli, W, Pedroni, M, Pelligra, G, Pellizzari, M, Penati, A, Perlot, M, Perrone, A, Perrone, G, Peruzzi, P, Peselli, C, Petracchini, L, Petrera, L, Petrone, S, Peverelli, C, Pianorsi, F, Piazza, Gp, Piazzolla, G, Picci, A, Pienabarca, G, Pietronigro, Tp, Pignocchino, P, Pilone, R, Pinto, D, Pirovano, E, Pirrotta, D, Pisante, V, Pitotto, P, Pittari, L, Piva, A, Pizzoglio, A, Plantera, Or, Plebani, W, Plessi, S, Podrecca, D, Poerio, V, Poggiani, F, Pogliani, W, Poli, L, Poloni, Fg, Porcelli, R, Porto, S, Pranzo, L, Prevedello, C, Profeta, C, Profico, D, Punzi, A, Quaglia, Gm, Racano, M, Raccone, A, Radice, F, Raho, Ca, Raimondi, R, Rainò, M, Ramponi, R, Ramunni, A, Ramunni, Al, Ravasio, F, Ravera, M, Re Sartò, G, Rebustello, G, Regazzoli, S, Restelli, C, Rezzonico, M, Ricchiuto, F, Rigo, S, Rigon, G, Rigon, R, Rinaldi, Ov, Rinaldi, M, Risplendente, Pg, Rispoli, M, Riundi, R, Riva, Mg, Rizzi, Al, Rizzi, D, Rizzo, Ld, Rocchi, L, Rondinone, B, Rosa, B, Rosati, F, Roselli, F, Rossetti, A, Rossetti, C, Rossi, R, Rossi, Pr, Rossi, A, Rossi, Cl, Rossitto, A, Ruffini, R, Ruffo, A, Ruggio, S, Ruo, M, Russo, B, Russo, L, Russo, R, Russo, S, Russo, U, Russo, V, Ruta, G, Sacchi, F, Sacco Botto, F, Saia, A, Salladini, G, Salmoiraghi, S, Saluzzo, F, Salvatore, C, Salvatori, E, Salvio, G, Sandri, P, Sandrini, T, Sangermano, V, Santoni, N, Saracino, Ad, Saracino, A, Sarasin, P, Sardo Infirri, C, Sarrì, B, Sartori, G, Sartori, N, Sauro, C, Scaglioni, M, Scalfi, C, Scamardella, Am, Scandale, G, Scandone, L, Scannavini, G, Scarati, R, Scardi, A, Scarpa, Fm, Scazzi, P, Schifone, A, Schirosa, G, Scigliano, G, Scilla, A, Sciortino, M, Scolaro, G, Scollo, E, Scorretti, G, Sellitti, R, Selmo, A, Selvaggio, G, Sempio, A, Seren, F, Serio, L, Serra, C, Serra, L, Siciliano, D, Sideri, A, Sighele, M, Signore, R, Siliberto, F, Silvestro, M, Simioni, G, Simmini, G, Simonato, L, Sinchetto, F, Sizzano, E, Smajato, G, Smaldone, M, Sola, G, Sordillo, L, Sovran, Cs, Spagnul, P, Spanò, F, Sproviero, S, Squintani, A, Stella, L, Stilo, V, Stocchiero, B, Stornello, Mc, Stracka, G, Strada, S, Stranieri, G, Stucci, N, Stufano, N, Suppa, A, Susca, Vg, Sutti, M, Taddei, M, Tagliabue, E, Tagliente, G, Talato, F, Talerico, P, Talia, R, Taranto, R, Tartaglia, M, Tauro, N, Tedesco, A, Tieri, P, Tirelli, M, Tocci, L, Todesco, P, Tognolo, M, Tomba, A, Tonello, P, Tonon, R, Toscano, L, Tosi, A, Tosi, G, Toso, S, Travaglio, P, Tremul, L, Tresso, C, Triacchini, P, Triggiano, L, Trigilio, A, Trimeloni, J, Tripicchio, G, Tritto, Gs, Trono, F, Trotta, E, Trotta, G, Tubertini, A, Turri, C, Turri, L, Tuttolani, Mp, Urago, M, Ursini, G, Valcanover, F, Valente, L, Valenti, M, Valentini, F, Vallone, G, Valz, P, Valzano, L, Vanin, V, Vatteroni, M, Vegetti, L, Vendrame, D, Veramonti, I, Veronelli, G, Vesco, A, Vicariotto, G, Vignale, G, Villa, Pl, Vinciguerra, R, Visco, A, Visentin, G, Visonà, E, Vitali, E, Vitali, S, Vitti, F, Volpone, Da, Zambon, N, Zammarrelli, A, Zanaboni, A, Zane, D, Zanetti, B, Zanibellato, R, Zappetti, M, Zappone, P, Zerilli, G, Zirino, V, Zoccali, R, Zuin, F, Altomonte, M, Anelli, N, Angiò, F, Annale, P, Antonacci, S, Anzilotta, R, Bano, F, Basadonna, O, Beduschi, L, Becagli, P, Bellotti, G, Blotta, C, Bruno, G, Cappuccini, A, Caramatti, S, Cariolato, Mp, Castellana, M, Castellani, L, Catania, R, Chielli, A, Chinellato, A, Ciaccia, A, Clerici, E, Cocci, A, Costanzo, G, D'Ercole, F, De Stefano, G, Decè, F, Di Cicco, N, Di Marco, A, Donati Sarti, C, Draghi, E, Dusi, G, Esposito, V, Ferraro, L, Ferretti, A, Ferri, E, Foggetti, L, Foglia, A, Fonzi, E, Frau, G, Fuoco, Mr, Furci, G, Gallo, L, Garra, V, Giannini, A, Gris, A, Iacovino, R, Interrigi, R, Joppi, R, Laner, B, La Fortezza, G, La Padula, A, Lista, Mr, Lupi, G, Maffei, D, Maggioni, G, Magnani, L, Marrazzo, E, Marcon, L, Marinò, V, Maroni, A, Martinelli, C, Mastandrea, E, Mastropierro, F, Meo, At, Mero, P, Minesso, E, Moschetta, V, Mosele, E, Nanni, C, Negretti, A, Nisticò, C, Orsini, A, Osti, M, Pacilli, Mc, Pennestre, C, Picerno, G, Piol, K, Pivano, L, Pizzuti, E, Poggi, L, Poidomani, I, Pozzetto, M, Presti, Ml, Ravani, R, Recalenda, V, Romagnuolo, F, Rossignoli, S, Rossin, E, Sabatella, C, Sacco, F, Sanità, F, Sansone, E, Servadei, F, Sisto, Mt, Sorio, A, Sorrentino, A, Spinelli, E, Spolaor, A, Squillacioti, A, Stella, P, Talerico, A, Todisco, C, Vadino, M, and Zuliani, C.

Subjects
Male, medicine.medical_specialty, General Practice, Kaplan-Meier Estimate, Placebo, Double-Blind Method, Risk Factors, Internal medicine, Fatty Acids, Omega-3, Clinical endpoint, medicine, Humans, Myocardial infarction, Treatment Failure, Aged, Proportional Hazards Models, chemistry.chemical_classification, Omega-3, business.industry, Proportional hazards model, Medicine (all), Hazard ratio, Fatty Acids, General Medicine, Middle Aged, medicine.disease, Hospitalization, Primary Prevention, chemistry, Cardiovascular Diseases, Heart failure, Cohort, Female, business, Polyunsaturated fatty acid
Abstract

Background Trials have shown a beneficial effect of n-3 polyunsaturated fatty acids in patients with a previous myocardial infarction or heart failure. We evaluated the potential benefit of such therapy in patients with multiple cardiovascular risk factors or atherosclerotic vascular disease who had not had a myocardial infarction. Methods In this double-blind, placebo-controlled clinical trial, we enrolled a cohort of patients who were followed by a network of 860 general practitioners in Italy. Eligible patients were men and women with multiple cardiovascular risk factors or atherosclerotic vascular disease but not myocardial infarction. Patients were randomly assigned to n-3 fatty acids (1 g daily) or placebo (olive oil). The initially specified primary end point was the cumulative rate of death, nonfatal myocardial infarction, and nonfatal stroke. At 1 year, after the event rate was found to be lower than anticipated, the primary end point was revised as time to death from cardiovascular causes or admission to the hospital for cardiovascular causes. Results Of the 12,513 patients enrolled, 6244 were randomly assigned to n-3 fatty acids and 6269 to placebo. With a median of 5 years of follow-up, the primary end point occurred in 1478 of 12,505 patients included in the analysis (11.8%), of whom 733 of 6239 (11.7%) had received n-3 fatty acids and 745 of 6266 (11.9%) had received placebo (adjusted hazard ratio with n-3 fatty acids, 0.97; 95% confidence interval, 0.88 to 1.08; P=0.58). The same null results were observed for all the secondary end points. Conclusions In a large general-practice cohort of patients with multiple cardiovascular risk factors, daily treatment with n-3 fatty acids did not reduce cardiovascular mortality and morbidity. (Funded by Societa Prodotti Antibiotici and others; ClinicalTrials.gov number, NCT00317707.).

Published
2013

7. Poster 74

Author

Sharon Loomis and Angeli S. Mayadev

Subjects
Rehabilitation, business.industry, Anesthesia, medicine.medical_treatment, medicine, Physical Therapy, Sports Therapy and Rehabilitation, Amiodarone, medicine.disease, business, Polyneuropathy, medicine.drug
Published
2005

8. Neonicotinoids in the agroecosystem: In-field long-term assessment on honeybee colony strength and microbiome

Author

Diana Di Gioia, Loredana Baffoni, Sergio Angeli, Daniele Alberoni, Riccardo Favaro, Alberoni D., Favaro R., Baffoni L., Angeli S., and Di Gioia D.

Subjects
Insecticides, Environmental Engineering, 010504 meteorology & atmospheric sciences, Imidacloprid, Zoology, Frischella, 010501 environmental sciences, Biology, medicine.disease_cause, 01 natural sciences, chemistry.chemical_compound, Neonicotinoids, Pollen, medicine, Environmental Chemistry, Animals, Microbiome, Waste Management and Disposal, Ecosystem, 0105 earth and related environmental sciences, Lactobacillu, Host (biology), Microbiota, Neonicotinoid, Bees, Thiacloprid, medicine.disease, Nitro Compounds, Pollution, Gastrointestinal Microbiome, chemistry, Microbial population biology, Apis mellifera, Dysbiosis
Abstract

Bees can be severely affected by various plant protection products (PPP). Among these, neonicotinoid insecticides are of concern as they have been shown to be responsible for extensive honeybee colonies death when released into the environment. Also, sublethal neonicotinoid doses contaminating single honeybees and their colonies (e.g. through contaminated pollen) are responsible for honeybees physiological alterations with probable implication also on microbiome functionality. Honeybees show symbiotic interactions with specific gut bacteria that can enhance the adult host performances. Among the known mechanisms, the modulation of the immune system, the degradation of recalcitrant secondary plant metabolites, pollen digestion, and hormonal signaling, are the most important functional benefits for the host honeybee. To date, few research efforts have aimed at revealing the impact of PPP on the gut microbial community of managed and wild honeybees. The majority of the existing literature relays on cage or semifield tests of short duration for research investigating neonicotinoids-gut microbiome interactions. This research wanted to unravel the impact of two neonicotinoids (i.e. imidacloprid and thiacloprid) in natural field conditions up to 5 weeks of exposure. A long-term impact of neonicotinoids on gut microbial community of honeybees was observed. The alterations affected several microbial genera and species such as Frischella spp., lactobacilli and bifidobacteria, whose shifting is implicated in intestinal dysbiosis. Long-term impact leading to dysbiosis was detected in case of exposure to imidacloprid, whereas thiacloprid exposure stimulated temporary dysbiosis. Moreover, the microbial diversity was significantly reduced in neonicotinoid-treated groups. Overall, the reported results support a compromised functionality of the gut microbial community, that might reflect a lower efficiency in the ecosystemic functionality of honeybees.

Published
2020

9. Development and validation of a scoring system that includes corrected QT interval for risk analysis of patients with cirrhosis and gastrointestinal bleeding

Author

Marco Domenicali, Paolo Caraceni, Mauro Bernardi, Paolo Angeli, Maria Elena Bonavita, Annagiulia Gramenzi, Luca Bellettato, Monica Loreta Pierro, Marco Dall’Agata, Marta Tonon, Franco Trevisani, Barbara Lenzi, Giovanni Perricone, Silvia Boffelli, Maurizio Biselli, Gennaro D'Amico, and M. Biselli, A. Gramenzi, B. Lenzi, M. Dall'Agata, M.L. Pierro, G Perricone, M Tonon, L. Bellettato, G. D'Amico, P. Angeli, S. Boffelli, M.E. Bonavita, M. Domenicali, P. Caraceni, M. Bernardi, F. Trevisani

Subjects
Liver Cirrhosis, Male, Gastrointestinal bleeding, medicine.medical_specialty, Cirrhosis, Risk Assessment, Severity of Illness Index, QT interval, Electrocardiography, 03 medical and health sciences, Liver disease, 0302 clinical medicine, Model for End-Stage Liver Disease, GIB, Heart Rate, Interquartile range, Cause of Death, Internal medicine, QT interval, cirrhosis, bleeding, scoring system, medicine, Humans, prognostic factor, Retrospective Studies, Framingham Risk Score, Hepatology, Receiver operating characteristic, business.industry, Gastroenterology, cirrhotic cardiomyopathy, liver disease, Middle Aged, Prognosis, medicine.disease, Survival Rate, Italy, ROC Curve, 030220 oncology & carcinogenesis, Acute Disease, Female, 030211 gastroenterology & hepatology, Gastrointestinal Hemorrhage, business, Follow-Up Studies
Abstract

Background & Aims The electrocardiographic QT interval frequently is prolonged in patients with cirrhosis. Acute gastrointestinal bleeding further prolongs corrected QT (QTc) in patients with cirrhosis, which has been associated with an increased risk of death within 6 weeks. We aimed to confirm these findings and develop a mortality risk index that incorporates QTc. Methods We collected data from 274 patients with cirrhosis and acute gastrointestinal bleeding from any cause admitted to a hospital in Bologna, Italy, from January 2001 through December 2012 (training set). We used logistic regression analysis to identify patient factors associated with death within 6 weeks (6-week mortality). We validated our findings by using data from 200 patients with cirrhosis and gastrointestinal bleeding treated at 2 separate hospitals in Italy, from 2001 through 2016 and 2007 through 2012. Our primary aim was to confirm the prognostic effects of prolonged QTc in a large population of patients and develop a 6-week mortality risk score for acute gastrointestinal bleeding from any cause that incorporates the QTc interval. Results In the training set, QTc greater than 456 ms, the model for end-stage liver disease-sodium (MELD-Na) score, previous bleeding, and serum albumin concentration were associated independently with 6-week mortality. We combined these parameters to create a risk scoring system that we named MELD-Na acute gastrointestinal bleeding (MELDNa-AGIB). In the validation set, the MELDNa-AGIB identified patients who died within 6 weeks with an area under the receiver operating characteristic curve (AUROC) of 0.888; this value was higher than that of the MELD score (AUROC, 0.838; P = .031), MELD score with updated calibration (AUROC, 0.837; P = .029), Child–Turcotte–Pugh score (AUROC, 0.789; P = .004), D'Amico score (AUROC, 0.761; P = .003), and Augustin score (AUROC, 0.792; P = .001), with a net reclassification improvement better than the MELD-Na score (0.266; P = .045). In calibration, the MELDNa-AGIB produced a high score in the Hosmer–Lemeshow test (P = .947), which was superior to that of MELD-Na (P = .146). In the training set, only 6.3% of patients with MELDNa-AGIB scores of 4 or less died within 6 weeks. Among patients with a scores of 9, 16, and 25 or higher, 15.5%, 41.5%, and 81% or more patients died within 6 weeks, respectively. The probability of survival progressively and significantly decreased with increasing scores in the training and validation sets. Conclusions We confirmed QTc as an independent predictor of 6-week mortality in a large population of patients with cirrhosis and acute gastrointestinal bleeding. The combination of QTc, MELD-Na, previous bleeding, and serum albumin (the MELDNa-AGIB score) accurately determines the risk of 6-week mortality, providing timely identification of patients at very high risk of death.

Published
2019

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