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5. Effect of subclinical endometritis and flunixin meglumine administration on pregnancy in embryo recipient beef cows.

Author

Barnes, M., Kasimanickam, R., and Kasimanickam, V.

Subjects
*ENDOMETRITIS, *COWS, *ESTRUS synchronization, *EMBRYO transfer, *PREGNANCY, *ESTRUS, *PREGNANCY in animals
Abstract

Fertility of recipient beef cows with subclinical endometritis (SCE) that did or did not receive flunixin meglumine (FM) treatment were compared following transfer of d 7 embryo. The study population comprised of 600 Angus cross cows that expressed estrus following Select-Synch + CIDR (Controlled Internal Drug Release) estrus synchronization protocol. At the time of embryo transfer, approximately 3 wk after sampling for subclinical endometritis, cows were randomly allocated either to receive FM treatment (500 mg of Banamine®; n = 300) or not (Control; n = 300). The effect of subclinical endometritis (at ≥ 1% PMN on endometrial cytology by cytobrush method) and FM treatment on pregnancy/embryo transfer (P/ET, %) were evaluated by mixed model. Of the 600 cows, 323 (53.8%) became pregnant; 55.0% (165/300) cows that received FM treatment vs. 52.7% (158/300) control cows (P > 0.1), and 55.9% (266/476) normal vs. 46.0% (57/124) subclinical endometritis cows (P < 0.05). There was a trend for treatment by subclinical endometritis for P/ET (P = 0.09). Pregnancy was recorded in 55.3% (134/242) of normal and 53.4% (31/58) of subclinical endometritis cows that received FM treatment, and in 56.4% (132/234) of normal and 39.4% (26/66) of subclinical endometritis cows that did not receive FM treatment (P = 0.09). In conclusion, subclinical endometritis in recipient beef cows resulted in lower P/ET. Though not significant in cows with subclinical endometritis, FM treatment resulted in 14.0% points more pregnancy compared with control. • Endometrial cytology detects subclinical endometritis (SCE) in beef cows. • Recipient beef cows with SCE (≥1%PMN) had lower pregnancy than normal cows. • Though not significant, flunixin meglumine treatment to SCE cows effected 14% more pregnancy than control. [ABSTRACT FROM AUTHOR]

Published
2023
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6. Analysis of deposited layers with deuterium and impurity elements on samples from the divertor of JET with ITER-like wall

Author

Strom, P., Petersson, P., Rubel, M., Fortuna-Zalesna, E., Widdowson, A., Sergienko, G., Litaudon, X., Abduallev, S., Abhangi, M., Abreu, P., Afzal, M., Aggarwal, K. M., Ahlgren, T., Ahn, J. H., Aho-Mantila, L., Aiba, N., Airila, M., Albanese, R., Aldred, V., Alegre, D., Alessi, E., Aleynikov, P., Alfier, A., Alkseev, A., Allinson, M., Alper, B., Alves, E., Ambrosino, G., Ambrosino, R., Amicucci, L., Amosov, V., Sunden, E. Andersson, Angelone, M., Anghel, M., Angioni, C., Appel, L., Appelbee, C., Arena, P., Ariola, M., Arnichand, H., Arshad, S., Ash, A., Ashikawa, N., Aslanyan, V., Asunta, O., Auriemma, F., Austin, Y., Avotina, L., Axton, M. D., Ayres, C., Bacharis, M., Baciero, A., Baiao, D., Bailey, S., Baker, A., Balboa, I., Balden, M., Balshaw, N., Bament, R., Banks, J. W., Baranov, Y. F., Barnard, M. A., Barnes, D., Barnes, M., Barnsley, R., Wiechec, A. Baron, Orte, L. Barrera, Baruzzo, M., Basiuk, V., Bassan, M., Bastow, R., Batista, A., Batistoni, P., Baughan, R., Bauvir, B., Baylor, L., Bazylev, B., Beal, J., Beaumont, P. S., Beckers, M., Beckett, B., Becoulet, A., Bekris, N., Beldishevski, M., Bell, K., Belli, F., Bellinger, M., Belonohy, E., Ben Ayed, N., Benterman, N. A., Bergsaker, H., Bernardo, J., Bernert, M., Berry, M., Bertalot, L., Besliu, C., Beurskens, M., Bieg, B., Bielecki, J., Biewer, T., Bigi, M., Bilkova, P., Binda, F., Bisoffi, A., Bizarro, J. P. S., Bjorkas, C., Blackburn, J., Blackman, K., Blackman, T. R., Blanchard, P., Blatchford, P., Bobkov, V., Boboc, A., Bodnar, G., Bogar, O., Bolshakova, I., Bolzonella, T., Bonanomi, N., Bonelli, F., Boom, J., Booth, J., Borba, D., Borodin, D., Borodkina, I., Botrugno, A., Bottereau, C., Boulting, P., Bourdelle, C., Bowden, M., Bower, C., Bowman, C., Boyce, T., Boyd, C., Boyer, H. J., Bradshaw, J. M. A., Braic, V., Bravanec, R., Breizman, B., Bremond, S., Brennan, P. D., Breton, S., Brett, A., Brezinsek, S., Bright, M. D. J., Brix, M., Broeckx, W., Brombin, M., Broslawski, A., Brown, D. P. D., Brown, M., Bruno, E., Bucalossi, J., Buch, J., Buchanan, J., Buckley, A., Budny, R., Bufferand, H., Bulman, M., Bulmer, N., Bunting, P., Buratti, P., Burckhart, A., Buscarino, A., Busse, A., Butler, N. K., Bykov, I., Byrne, J., Cahyna, P., Calabro, G., Calvo, I., Camenen, Y., Camp, P., Campling, D. C., Cane, J., Cannas, B., Capel, A. J., Card, P. J., Cardinali, A., Carman, P., Carr, M., Carralero, D., Carraro, L., Carvalho, B. B., Carvalho, I., Carvalho, P., Casson, F. J., Castaldo, C., Catarino, N., Caumont, J., Causa, F., Cavazzana, R., Cave-Ayland, K., Cavinato, M., Cecconello, M., Ceccuzzi, S., Cecil, E., Cenedese, A., Cesario, R., Challis, C. D., Chandler, M., Chandra, D., Chang, C. S., Chankin, A., Chapman, I. T., Chapman, S. C., Chernyshova, M., Chitarin, G., Ciraolo, G., Ciric, D., Citrin, J., Clairet, F., Clark, E., Clark, M., Clarkson, R., Clatworthy, D., Clements, C., Cleverly, M., Coad, J. P., Coates, P. A., Cobalt, A., Coccorese, V., Cocilovo, V., Coda, S., Coelho, R., Coenen, J. W., Coffey, I., Colas, L., Collins, S., Conka, D., Conroy, S., Conway, N., Coombs, D., Cooper, D., Cooper, S. R., Corradino, C., Corre, Y., Corrigan, G., Cortes, S., Coster, D., Couchman, A. S., Cox, M. P., Craciunescu, T., Cramp, S., Craven, R., Crisanti, F., Croci, G., Croft, D., Crombe, K., Crowe, R., Cruz, N., Cseh, G., Cufar, A., Cullen, A., Curuia, M., Czarnecka, A., Dabirikhah, H., Dalgliesh, P., Dalley, S., Dankowski, J., Darrow, D., Davies, O., Davis, W., Day, C., Day, I. E., De Bock, M., de Castro, A., de la Cal, E., de la Luna, E., De Masi, G., de Pablos, J. L., De Temmerman, G., De Tommasi, G., de Vries, P., Deakin, K., Deane, J., Agostini, F. Degli, Dejarnac, R., Delabie, E., den Harder, N., Dendy, R. O., Denis, J., Denner, P., Devaux, S., Devynck, P., Di Maio, F., Di Siena, A., Di Troia, C., Dinca, P., D'Inca, R., Ding, B., Dittmar, T., Doerk, H., Doerner, R. P., Donne, T., Dorling, S. E., Dormido-Canto, S., Doswon, S., Douai, D., Doyle, P. T., Drenik, A., Drewelow, P., Drews, P., Duckworth, Ph., Dumont, R., Dumortier, P., Dunai, D., Dunne, M., Duran, I., Durodie, F., Dutta, P., Duval, B. P., Dux, R., Dylst, K., Dzysiuk, N., Edappala, P. V., Edmond, J., Edwards, A. M., Edwards, J., Eich, Th., Ekedahl, A., El-Jorf, R., Elsmore, C. G., Enachescu, M., Ericsson, G., Eriksson, F., Eriksson, J., Eriksson, L. G., Esposito, B., Esquembri, S., Esser, H. G., Esteve, D., Evans, B., Evans, G. E., Evison, G., Ewart, G. D., Fagan, D., Faitsch, M., Falie, D., Fanni, A., Fasoli, A., Faustin, J. M., Fawlk, N., Fazendeiro, L., Fedorczak, N., Felton, R. C., Fenton, K., Fernades, A., Fernandes, H., Ferreira, J., Fessey, J. A., Fevrier, O., Ficker, O., Field, A., Fietz, S., Figueiredo, A., Figueiredo, J., Fil, A., Finburg, P., Firdaouss, M., Fischer, U., Fittill, L., Fitzgerald, M., Flammini, D., Flanagan, J., Fleming, C., Flinders, K., Fonnesu, N., Fontdecaba, J. M., Formisano, A., Forsythe, L., Fortuna, L., Fortune, M., Foster, S., Franke, T., Franklin, T., Frasca, M., Frassinetti, L., Freisinger, M., Fresa, R., Frigione, D., Fuchs, V., Fuller, D., Futatani, S., Fyvie, J., Gal, K., Galassi, D., Galazka, K., Galdon-Quiroga, J., Gallagher, J., Gallart, D., Galvao, R., Gao, X., Gao, Y., Garcia, J., Garcia-Carrasco, A., Garcia-Munoz, M., Gardarein, J. -L., Garzotti, L., Gaudio, P., Gauthier, E., Gear, D. F., Gee, S. J., Geiger, B., Gelfusa, M., Gerasimov, S., Gervasini, G., Gethins, M., Ghani, Z., Ghate, M., Gherendi, M., Giacalone, J. C., Giacomelli, L., Gibson, C. S., Giegerich, T., Gil, C., Gil, L., Gilligan, S., Gin, D., Giovannozzi, E., Girardo, J. B., Giroud, C., Giruzzi, G., Gloeggler, S., Godwin, J., Goff, J., Gohil, P., Goloborod'ko, V., Gomes, R., Goncalves, B., Goniche, M., Goodliffe, M., Goodyear, A., Gorini, G., Gosk, M., Goulding, R., Goussarov, A., Gowland, R., Graham, B., Graham, M. E., Graves, J. P., Grazier, N., Grazier, P., Green, N. R., Greuner, H., Grierson, B., Griph, F. S., Grisolia, C., Grist, D., Groth, M., Grove, R., Grundy, C. N., Grzonka, J., Guard, D., Guerard, C., Guillemaut, C., Guirlet, R., Gurl, C., Utoh, H. H., Hackett, L. J., Hacquin, S., Hagar, A., Hager, R., Hakola, A., Halitovs, M., Hall, S. J., Cook, S. P. Hallworth, Hamlyn-Harris, C., Hammond, K., Harrington, C., Harrison, J., Harting, D., Hasenbeck, F., Hatano, Y., Hatch, D. R., Haupt, T. D. V., Hawes, J., Hawkes, N. C., Hawkins, J., Hawkins, P., Haydon, P. W., Hayter, N., Hazel, S., Heesterman, P. J. L., Heinola, K., Hellesen, C., Hellsten, T., Helou, W., Hemming, O. N., Hender, T. C., Henderson, M., Henderson, S. S., Henriques, R., Hepple, D., Hermon, G., Hertout, P., Hidalgo, C., Highcock, E. G., Hill, M., Hillairet, J., Hillesheim, J., Hillis, D., Hizanidis, K., Hjalmarsson, A., Hobirk, J., Hodille, E., Hogben, C. H. A., Hogeweij, G. M. D., Hollingsworth, A., Hollis, S., Homfray, D. A., Horacek, J., Hornung, G., Horton, A. R., Horton, L. D., Horvath, L., Hotchin, S. P., Hough, M. R., Howarth, P. J., Hubbard, A., Huber, A., Huber, V., Huddleston, T. M., Hughes, M., Huijsmans, G. T. A., Hunter, C. L., Huynh, P., Hynes, A. M., Iglesias, D., Imazawa, N., Imbeaux, F., Imrisek, M., Incelli, M., Innocente, P., Irishkin, M., Ivanova-Stanik, I., Jachmich, S., Jacobsen, A. S., Jacquet, P., Jansons, J., Jardin, A., Jarvinen, A., Jaulmes, F., Jednorog, S., Jenkins, I., Jeong, C., Jepu, I., Joffrin, E., Johnson, R., Johnson, T., Johnston, Jane, Joita, L., Jones, G., Jones, T. T. C., Hoshino, K. K., Kallenbach, A., Kamiya, K., Kaniewski, J., Kantor, A., Kappatou, A., Karhunen, J., Karkinsky, D., Karnowska, I., Kaufman, M., Kaveney, G., Kazakov, Y., Kazantzidis, V., Keeling, D. L., Keenan, T., Keep, J., Kempenaars, M., Kennedy, C., Kenny, D., Kent, J., Kent, O. N., Khilkevich, E., Kim, H. T., Kim, H. S., Kinch, A., King, C., King, D., King, R. F., Kinna, D. J., Kiptily, V., Kirk, A., Kirov, K., Kirschner, A., Kizane, G., Klepper, C., Klix, A., Knight, P., Knipe, S. J., Knott, S., Kobuchi, T., Koechl, F., Kocsis, G., Kodeli, I., Kogan, L., Kogut, D., Koivuranta, S., Kominis, Y., Koepen, M., Kos, B., Koskela, T., Koslowski, H. R., Koubiti, M., Kovari, M., Kowalska-Strzeciwilk, E., Krasilnikov, A., Krasilnikov, V., Krawczyk, N., Kresina, M., Krieger, K., Krivska, A., Kruezi, U., Ksiazek, I., Kukushkin, A., Kundu, A., Kurki-Suonio, T., Kwak, S., Kwiatkowski, R., Kwon, O. J., Laguardia, L., Lahtinen, A., Laing, A., Lam, N., Lambertz, H. T., Lane, C., Lang, P. T., Lanthaler, S., Lapins, J., Lasa, A., Last, J. R., Laszynska, E., Lawless, R., Lawson, A., Lawson, K. D., Lazaros, A., Lazzaro, E., Leddy, J., Lee, S., Lefebvre, X., Leggate, H. J., Lehmann, J., Lehnen, M., Leichtle, D., Leichuer, P., Leipold, F., Lengar, I., Lennholm, M., Lerche, E., Lescinskis, A., lesnoj, S., Letellier, E., Leyland, M., Leysen, W., Li, L., Liang, Y., Likonen, J., Linke, J., Linsmeier, Ch., Lipschultz, B., Liu, G., Liu, Y., Lo Schiavo, V. P., Loarer, T., Loarte, A., Lobel, R. C., Lomanowski, B., Lomas, P. J., Lonnroth, J., Lopez, J. M., Lopez-Razola, J., Lorenzini, R., Losada, U., Lovell, J. J., Loving, A. B., Lowry, C., Luce, T., Lucock, R. M. A., Lukin, A., Luna, C., Lungaroni, M., Lungu, C. P., Lungu, M., Lunniss, A., Lupelli, I., Lyssoivan, A., Macdonald, N., Macheta, P., Maczewa, K., Magesh, B., Maget, P., Maggi, C., Maier, H., Mailloux, J., Makkonen, T., Makwana, R., Malaquias, A., Malizia, A., Manas, P., Manning, A., Manso, M. E., Mantica, P., Mantsinen, M., Manzanares, A., Maquet, Ph., Marandet, Y., Marcenko, N., Marchetto, C., Marchuk, O., Marinelli, M., Marinucci, M., Markovic, T., Marocco, D., Marot, L., Marren, C. A., Marshal, R., Martin, A., Martin, Y., de Aguilera, A. Martin, Martinez, F. J., Martin-Solis, J. R., Martynova, Y., Maruyama, S., Masiello, A., Maslov, M., Matejcik, S., Mattei, M., Matthews, G. F., Maviglia, F., Mayer, M., Mayoral, M. L., May-Smith, T., Mazon, D., Mazzotta, C., McAdams, R., McCarthy, P. J., McClements, K. G., McCormack, O., McCullen, P. A., McDonald, D., McIntosh, S., McKean, R., McKehon, J., Meadows, R. C., Meakins, A., Medina, F., Medland, M., Medley, S., Meigh, S., Meigs, A. G., Meisl, G., Meitner, S., Meneses, L., Menmuir, S., Mergia, K., Merrigan, I. R., Mertens, Ph., Meshchaninov, S., Messiaen, A., Meyer, H., Mianowski, S., Michling, R., Middleton-Gear, D., Miettunen, J., Militello, F., Militello-Asp, E., Miloshevsky, G., Mink, F., Minucci, S., Miyoshi, Y., Mlynar, J., Molina, D., Monakhov, I., Moneti, M., Mooney, R., Moradi, S., Mordijck, S., Moreira, L., Moreno, R., Moro, F., Morris, A. W., Morris, J., Moser, L., Mosher, S., Moulton, D., Murari, A., Muraro, A., Murphy, S., Asakura, N. N., Na, Y. S., Nabais, F., Naish, R., Nakano, T., Nardon, E., Naulin, V., Nave, M. F. F., Nedzelski, I., Nemtsev, G., Nespoli, F., Neto, A., Neu, R., Neverov, V. S., Newman, M., Nicholls, K. J., Nicolas, T., Nielsen, A. H., Nielsen, P., Nilsson, E., Nishijima, D., Noble, C., Nocente, M., Nodwell, D., Nordlund, K., Nordman, H., Nouailletas, R., Nunes, I., Oberkofler, M., Odupitan, T., Ogawa, M. T., O'Gorman, T., Okabayashi, M., Olney, R., Omolayo, O., O'Mullane, M., Ongena, J., Orsitto, F., Orszagh, J., Oswuigwe, B. I., Otin, R., Owen, A., Paccagnella, R., Pace, N., Pacella, D., Packer, L. W., Page, A., Pajuste, E., Palazzo, S., Pamela, S., Panja, S., Papp, P., Paprok, R., Parail, V., Park, M., Diaz, F. Parra, Parsons, M., Pasqualotto, R., Patel, A., Pathak, S., Paton, D., Patten, H., Pau, A., Pawelec, E., Soldan, C. Paz, Peackoc, A., Pearson, I. J., Pehkonen, S. -P., Peluso, E., Penot, C., Pereira, A., Pereira, R., Puglia, P. P. Pereira, von Thun, C. Perez, Peruzzo, S., Peschanyi, S., Peterka, M., Petravich, G., Petre, A., Petrella, N., Petrzilka, V., Peysson, Y., Pfefferle, D., Philipps, V., Pillon, M., Pintsuk, G., Piovesan, P., Pires dos Reis, A., Piron, L., Pironti, A., Pisano, F., Pitts, R., Pizzo, F., Plyusnin, V., Pomaro, N., Pompilian, O. G., Pool, P. J., Popovichev, S., Porfiri, M. T., Porosnicu, C., Porton, M., Possnert, G., Potzel, S., Powell, T., Pozzi, J., Prajapati, V., Prakash, R., Prestopino, G., Price, D., Price, M., Price, R., Prior, P., Proudfoot, R., Pucella, G., Puglia, P., Puiatti, M. E., Pulley, D., Purahoo, K., Puetterich, Th., Rachlew, E., Rack, M., Ragona, R., Rainford, M. S. J., Rakha, A., Ramogida, G., Ranjan, S., Rapson, C. J., Rasmussen, J. J., Rathod, K., Ratta, G., Ratynskaia, S., Ravera, G., Rayner, C., Rebai, M., Reece, D., Reed, A., Refy, D., Regan, B., Regana, J., Reich, M., Reid, N., Reimold, F., Reinhart, M., Reinke, M., Reiser, D., Rendell, D., Reux, C., Reyes Cortes, S. D. A., Reynolds, S., Riccardo, V., Richardson, N., Riddle, K., Rigamonti, D., Rimini, F. G., Risner, J., Riva, M., Roach, C., Robins, R. J., Robinson, S. A., Robinson, T., Robson, D. W., Roccella, R., Rodionov, R., Rodrigues, P., Rodriguez, J., Rohde, V., Romanelli, F., Romanelli, M., Romanelli, S., Romazanov, J., Rowe, S., Rubinacci, G., Rubino, G., Ruchko, L., Ruiz, M., Ruset, C., Rzadkiewicz, J., Saarelma, S., Sabot, R., Safi, E., Sagar, P., Saibene, G., Saint-Laurent, F., Salewski, M., Salmi, A., Salmon, R., Salzedas, F., Samaddar, D., Samm, U., Sandiford, D., Santa, P., Santala, M. I. K., Santos, B., Santucci, A., Sartori, F., Sartori, R., Sauter, O., Scannell, R., Schlummer, T., Schmid, K., Schmidt, V., Schmuck, S., Schneider, M., Schoepf, K., Schworer, D., Scott, S. D., Sertoli, M., Shabbir, A., Sharapov, S. E., Shaw, A., Shaw, R., Sheikh, H., Shepherd, A., Shevelev, A., Shumack, A., Sias, G., Sibbald, M., Sieglin, B., Silburn, S., Silva, A., Silva, C., Simmons, P. A., Simpson, J., Simpson-Hutchinson, J., Sinha, A., Sipila, S. K., Sips, A. C. C., Siren, P., Sirinelli, A., Sjostrand, H., Skiba, M., Skilton, R., Slabkowska, K., Slade, B., Smith, N., Smith, P. G., Smith, R., Smith, T. J., Smithies, M., Snoj, L., Soare, S., Solano, E. R., Somers, A., Sommariva, C., Sonato, P., Sopplesa, A., Sousa, J., Sozzi, C., Spagnolo, S., Spelzini, T., Spineanu, F., Stables, G., Stamatelatos, I., Stamp, M. F., Staniec, P., Stankunas, G., Stan-Sion, C., Stead, M. J., Stefanikova, E., Stepanov, I., Stephen, A. V., Stephen, M., Stevens, A., Steven, B. D., Strachan, J., Strand, P., Strauss, H. R., Stubbs, G., Studholme, W., Subba, F., Summers, H. P., Svensson, J., Swiderski, L., Szabolics, T., Szawlowski, M., Szepesi, G., Suzuki, T. T., Tal, B., Tala, T., Talbot, A. R., Talebzadeh, S., Taliercio, C., Tamain, P., Tame, C., Tang, W., Tardocchi, M., Taroni, L., Taylor, D., Taylor, K. A., Tegnered, D., Telesca, G., Teplova, N., Terranova, D., Testa, D., Tholerus, E., Thomas, J., Thomas, J. D., Thomas, P., Thompson, A., Thompson, C. -A., Thompson, V. K., Thorne, L., Thornton, A., Thrysoe, A. S., Tigwell, P. A., Tipton, N., Tiseanu, I., Tojo, H., Tokitani, M., Tolias, P., Tomes, M., Tonner, P., Towndrow, M., Trimble, P., Tripsky, M., Tsalas, M., Tsavalas, P., Jun, D. Tskhakaya, Turner, I., Turner, M. M., Turnyanskiy, M., Tvalashvili, G., Tyrrell, S. G. J., Uccello, A., Ul-Abidin, Z., Uljanovs, J., Ulyatt, D., Urano, H., Uytdenhouwen, I., Vadgama, A. P., Valcarcel, D., Valentinuzzi, M., Valisa, M., Olivares, P. Vallejos, Valovic, M., Van De Mortel, M., Van Eester, D., Van Renterghem, W., van Rooij, G. J., Varje, J., Varoutis, S., Vartanian, S., Vasava, K., Vasilopoulou, T., Vega, J., Verdoolaege, G., Verhoeven, R., Verona, C., Rinati, G. Verona, Veshchev, E., Vianello, N., Vicente, J., Viezzer, E., Villari, S., Villone, F., Vincenzi, P., Vinyar, I., Viola, B., Vitins, A., Vizvary, Z., Vlad, M., Voitsekhovitch, I., Vondracek, P., Vora, N., Vu, T., Pires de Sa, W. W., Wakeling, B., Waldon, C. W. F., Walkden, N., Walker, M., Walker, R., Walsh, M., Wang, E., Wang, N., Warder, S., Warren, R. J., Waterhouse, J., Watkins, N. W., Watts, C., Wauters, T., Weckmann, A., Weiland, J., Weisen, H., Weiszflog, M., Wellstood, C., West, A. T., Wheatley, M. R., Whetham, S., Whitehead, A. M., Whitehead, B. D., Widdowson, A. M., Wiesen, S., Wilkinson, J., Williams, J., Williams, M., Wilson, A. R., Wilson, D. J., Wilson, H. R., Wilson, J., Wischmeier, M., Withenshaw, G., Withycombe, A., Witts, D. M., Wood, D., Wood, R., Woodley, C., Wray, S., Wright, J., Wright, J. C., Wu, J., Wukitch, S., Wynn, A., Xu, T., Yadikin, D., Yanling, W., Yao, L., Yavorskij, V., Yoo, M. G., Young, C., Young, D., Young, I. D., Young, R., Zacks, J., Zagorski, R., Zaitsev, F. S., Zanino, R., Zarins, A., Zastrow, K. D., Zerbini, M., Zhang, W., Zhou, Y., Zilli, E., Zoita, V., Zoletnik, S., Zychor, I., Royal Institute of Technology [Stockholm] (KTH ), Institute of Energy and Climate Research - Plasma Physics (IEK-4), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Laboratoire de Mécanique, Modélisation et Procédés Propres (M2P2), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Strom, P., Petersson, P., Rubel, M., Fortuna-Zalesna, E., Widdowson, A., Sergienko, G., Litaudon, X., Abduallev, S., Abhangi, M., Abreu, P., Afzal, M., Aggarwal, K. M., Ahlgren, T., Ahn, J. 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D., Zerbini, M., Zhang, W., Zhou, Y., Zilli, E., Zoita, V., Zoletnik, S., Zychor, I., Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), Strom, P, Petersson, P, Rubel, M, Fortuna-Zalesna, E, Widdowson, A, Sergienko, G, Litaudon, X, Abduallev, S, Abhangi, M, Abreu, P, Afzal, M, Aggarwal, K, Ahlgren, T, Ahn, J, Aho-Mantila, L, Aiba, N, Airila, M, Albanese, R, Aldred, V, Alegre, D, Alessi, E, Aleynikov, P, Alfier, A, Alkseev, A, Allinson, M, Alper, B, Alves, E, Ambrosino, G, Ambrosino, R, Amicucci, L, Amosov, V, Andersson Sunden, E, Angelone, M, Anghel, M, Angioni, C, Appel, L, Appelbee, C, Arena, P, Ariola, M, Arnichand, H, Arshad, S, Ash, A, Ashikawa, N, Aslanyan, V, Asunta, O, Auriemma, F, Austin, Y, Avotina, L, Axton, M, Ayres, C, Bacharis, M, Baciero, A, Baiao, D, Bailey, S, Baker, A, Balboa, I, Balden, M, Balshaw, N, Bament, R, Banks, J, Baranov, Y, Barnard, M, Barnes, D, Barnes, M, Barnsley, R, Baron Wiechec, A, 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Subjects
ToF-ERDA, Nuclear and High Energy Physics, Materials science, Tokamak, oxidation, 02 engineering and technology, release, 01 natural sciences, Plasma-wall interactions, 010305 fluids & plasmas, law.invention, [SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph], Plasma-wall interaction, law, Impurity, 0103 physical sciences, General Materials Science, Fusion, NRA, SEM, Composite material, Quartz, Jet (fluid), Divertor, [SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment, Settore FIS/01 - Fisica Sperimentale, 021001 nanoscience & nanotechnology, Elastic recoil detection, Nuclear Energy and Engineering, Deuterium, 0210 nano-technology, section
Abstract

Inconel-600 blocks and stainless steel covers for quartz microbalance crystals from remote corners in the JET-ILW divertor were studied with time-of-flight elastic recoil detection analysis and nuclear reaction analysis to obtain information about the areal densities and depth profiles of elements present in deposited material layers. Surface morphology and the composition of dust particles were examined with scanning electron microscopy and energy-dispersive X-ray spectroscopy. The analysed components were present in JET during three ITER-like wall campaigns between 2010 and 2017. Deposited layers had a stratified structure, primarily made up of beryllium, carbon and oxygen with varying atomic fractions of deuterium, up to more than 20%. The range of carbon transport from the ribs of the divertor carrier was limited to a few centimeters, and carbon/deuterium co-deposition was indicated on the Inconel blocks. High atomic fractions of deuterium were also found in almost carbon-free layers on the quartz microbalance covers. Layer thicknesses up to more than 1 mu m were indicated, but typical values were on the order of a few hundred nm. Chromium, iron and nickel fractions were less than or around 1% at layer surfaces while increasing close to the layer-substrate interface. The tungsten fraction depended on the proximity of the plasma strike point to the divertor corners. Particles of tungsten, molybdenum and copper with sizes less than or around 1 mu m were found. Nitrogen, argon and neon were present after plasma edge cooling and disruption mitigation. Oxygen-18 was found on component surfaces after injection, indicating in-vessel oxidation. Compensation of elastic recoil detection data for detection efficiency and ion-induced release of deuterium during the measurement gave quantitative agreement with nuclear reaction analysis, which strengthens the validity of the results. Crown Copyright (C) 2018 Published by Elsevier B.V. All rights reserved.

Published
2019

9. Detector description and performance for the first coincidence observations between LIGO and GEO

Author

Abbott, B., Abbott, R., Adhikari, R., Ageev, A., Allen, B., Amin, R., Anderson, S.B., Anderson, W.G., Araya, M., Armandula, H., Asiri, F., Aufmuth, P., Aulbert, C., Babak, S., Balasubramanian, R., Ballmer, S., Barish, B.C., Barker, D., Barker-Patton, C., Barnes, M., Barr, B., Barton, M.A., Bayer, K., Beausoleil, R., Belczynski, K., Bennett, R., Berukoff, S.J., Betzwieser, J., Bhawal, B., Bilenko, I.A., Billingsley, G., Black, E., Blackburn, K., Bland-Weaver, B., Bochner, B., Bogue, L., Bork, R., Bose, S., Brady, P.R., Braginsky, V.B., Brau, J.E., Brown, D.A., Brozek, S., Bullington, A., Buonanno, A., Burgess, R., Busby, D., Butler, W.E., Byer, R.L., Cadonati, L., Cagnoli, G., Camp, J.B., Cantley, C.A., Cardenas, L., Carter, K., Casey, M.M., Castiglione, J., Chandler, A., Chapsky, J., Charlton, P., Chatterji, S., Chen, Y., Chickarmane, V., Chin, D., Christensen, N., Churches, D., Colacino, C., Coldwell, R., Coles, M., Cook, D., Corbitt, T., Coyne, D., Creighton, J.D.E., Creighton, T.D., Crooks, D.R.M., Csatorday, P., Cusack, B.J., Cutler, C., D'Ambrosio, E., Danzmann, K., Davies, R., Daw, E., DeBra, D., Delker, T., DeSalvo, R., Dhurandar, S., Dı́az, M., Ding, H., Drever, R.W.P., Dupuis, R.J., Ebeling, C., Edlund, J., Ehrens, P., Elliffe, E.J., Etzel, T., Evans, M., Evans, T., Fallnich, C., Farnham, D., Fejer, M.M., Fine, M., Finn, L.S., Flanagan, É., Freise, A., Frey, R., Fritschel, P., Frolov, V., Fyffe, M., Ganezer, K.S., Giaime, J.A., Gillespie, A., Goda, K., González, G., Goßler, S., Grandclément, P., Grant, A., Gray, C., Gretarsson, A.M., Grimmett, D., Grote, H., Grunewald, S., Guenther, M., Gustafson, E., Gustafson, R., Hamilton, W.O., Hammond, M., Hanson, J., Hardham, C., Harry, G., Hartunian, A., Heefner, J., Hefetz, Y., Heinzel, G., Heng, I.S., Hennessy, M., Hepler, N., Heptonstall, A., Heurs, M., Hewitson, M., Hindman, N., Hoang, P., Hough, J., Hrynevych, M., Hua, W., Ingley, R., Ito, M., Itoh, Y., Ivanov, A., Jennrich, O., Johnson, W.W., Johnston, W., Jones, L., Jungwirth, D., Kalogera, V., Katsavounidis, E., Kawabe, K., Kawamura, S., Kells, W., Kern, J., Khan, A., Killbourn, S., Killow, C.J., Kim, C., King, C., King, P., Klimenko, S., Kloevekorn, P., Koranda, S., Kötter, K., Kovalik, J., Kozak, D., Krishnan, B., Landry, M., Langdale, J., Lantz, B., Lawrence, R., Lazzarini, A., Lei, M., Leonhardt, V., Leonor, I., Libbrecht, K., Lindquist, P., Liu, S., Logan, J., Lormand, M., Lubinski, M., Lück, H., Lyons, T.T., Machenschalk, B., MacInnis, M., Mageswaran, M., Mailand, K., Majid, W., Malec, M., Mann, F., Marin, A., Márka, S., Maros, E., Mason, J., Mason, K., Matherny, O., Matone, L., Mavalvala, N., McCarthy, R., McClelland, D.E., McHugh, M., McNamara, P., Mendell, G., Meshkov, S., Messenger, C., Mitrofanov, V.P., Mitselmakher, G., Mittleman, R., Miyakawa, O., Miyoki, S., Mohanty, S., Moreno, G., Mossavi, K., Mours, B., Mueller, G., Mukherjee, S., Myers, J., Nagano, S., Nash, T., Naundorf, H., Nayak, R., Newton, G., Nocera, F., Nutzman, P., Olson, T., O'Reilly, B., J. Ottaway, D., Ottewill, A., Ouimette, D., Overmier, H., Owen, B.J., Papa, M.A., Parameswariah, C., Parameswariah, V., Pedraza, M., Penn, S., Pitkin, M., Plissi, M., Pratt, M., Quetschke, V., Raab, F., Radkins, H., Rahkola, R., Rakhmanov, M., Rao, S.R., Redding, D., Regehr, M.W., Regimbau, T., Reilly, K.T., Reithmaier, K., Reitze, D.H., Richman, S., Riesen, R., Riles, K., Rizzi, A., Robertson, D.I., Robertson, N.A., Robison, L., Roddy, S., Rollins, J., Romano, J.D., Romie, J., Rong, H., Rose, D., Rotthoff, E., Rowan, S., Rüdiger, A., Russell, P., Ryan, K., Salzman, I., Sanders, G.H., Sannibale, V., Sathyaprakash, B., Saulson, P.R., Savage, R., Sazonov, A., Schilling, R., Schlaufman, K., Schmidt, V., Schofield, R., Schrempel, M., Schutz, B.F., Schwinberg, P., Scott, S.M., Searle, A.C., Sears, B., Seel, S., Sengupta, A.S., Shapiro, C.A., Shawhan, P., Shoemaker, D.H., Shu, Q.Z., Sibley, A., Siemens, X., Sievers, L., Sigg, D., Sintes, A.M., Skeldon, K., Smith, J.R., Smith, M., Smith, M.R., Sneddon, P., Spero, R., Stapfer, G., Strain, K.A., Strom, D., Stuver, A., Summerscales, T., Sumner, M.C., Sutton, P.J., Sylvestre, J., Takamori, A., Tanner, D.B., Tariq, H., Taylor, I., Taylor, R., Thorne, K.S., Tibbits, M., Tilav, S., Tinto, M., Tokmakov, K.V., Torres, C., Torrie, C., Traeger, S., Traylor, G., Tyler, W., Ugolini, D., Vallisneri, M., van Putten, M., Vass, S., Vecchio, A., Vorvick, C., Vyatchanin, S.P., Wallace, L., Walther, H., Ward, H., Ware, B., Watts, K., Webber, D., Weidner, A., Weiland, U., Weinstein, A., Weiss, R., Welling, H., Wen, L., Wen, S., Whelan, J.T., Whitcomb, S.E., Whiting, B.F., Willems, P.A., Williams, P.R., Williams, R., Willke, B., Wilson, A., Winjum, B.J., Winkler, W., Wise, S., Wiseman, A.G., Woan, G., Wooley, R., Worden, J., Yakushin, I., Yamamoto, H., Yoshida, S., Zawischa, I., Zhang, L., Zotov, N., Zucker, M., and Zweizig, J.

Published
2004
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11. A Monte Carlo model of synchrotron radiotherapy shows good agreement with experimental dosimetry measurements: Data from the imaging and medical beamline at the Australian Synchrotron.

Author

Day, L.R.J., Pellicioli, P., Gagliardi, F., Barnes, M., Smyth, L.M.L., Butler, D., Livingstone, J., Stevenson, A.W., Lye, J., Poole, C.M., Hausermann, D., Rogers, P.A.W., and Crosbie, J.C.

Abstract

• MC simulations shows good agreement to SyncRT measured doses. • Our MC model serves as a validation tool for SyncRT dose calculation. • The Synchrotron source size has an important effect on the MRT dose distribution. Experimental measurement of Synchrotron Radiotherapy (SyncRT) doses is challenging, especially for Microbeam Radiotherapy (MRT), which is characterised by very high dynamic ranges with spatial resolutions on the micrometer scale. Monte Carlo (MC) simulation is considered a gold standard for accurate dose calculation in radiotherapy, and is therefore routinely relied upon to produce verification data. We present a MC model for Australian Synchrotron's Imaging and Medical Beamline (IMBL), which is capable of generating accurate dosimetry data to inform and/or verify SyncRT experiments. Our MC model showed excellent agreement with dosimetric measurement for Synchrotron Broadbeam Radiotherapy (SBBR). Our MC model is also the first to achieve validation for MRT, using two methods of dosimetry, to within clinical tolerances of 5% for a 20 × 20 mm2 field size, except for surface measurements at 5 mm depth, which remained to within good agreement of 7.5%. Our experimental methodology has allowed us to control measurement uncertainties for MRT doses to within 5–6%, which has also not been previously achieved, and provides a confidence which until now has been lacking in MRT validation studies. The MC model is suitable for SyncRT dose calculation of clinically relevant field sizes at the IMBL, and can be extended to include medical beamlines at other Synchrotron facilities as well. The presented MC model will be used as a validation tool for treatment planning dose calculation algorithms, and is an important step towards veterinary SyncRT trials at the Australian Synchrotron. [ABSTRACT FROM AUTHOR]

Published
2020
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12. Collaborate to Transform: using improvement science to harness collaboration and nurture innovation as a fundamental pillar of clinical operations.

Author

Sae-Lieo, S, Porter, B, Andree-Evarts, J, Barnes, M, Grimberg, K, Podreka, A, and Atyeo, J

Subjects
STRATEGIC planning, CONFERENCES & conventions, INTERPROFESSIONAL relations
Abstract

In 2022 The Northern Sydney Local Health District (NSLHD) published it's 5-year strategic plan titled "Exceptional Care, Leaders in Research, Partners in Wellbeing." This initiated a strategic planning program amongst the radiation therapists (RTs), at the Northern Sydney Cancer Centre (NSCC), to deliver our own strategic plan – a departmental interpretation of how RTs will contribute to delivering the NSLHD's strategy. Central to delivering this piece of work was meaningfully demonstrating the organisational value of "Collaboration" through an improvement science methodology.1 The aim of which was to harness the wide range of ideas and opportunities that our team have identified into a cohesive strategic plan that stakeholders not only have a say in; but can meaningfully claim as their own. Ultimately for staff to be able to tangibly see their contributions and arrive at consensus endorsement of the strategy. Over a 4-month period, a framework of improvement science was applied during the strategic planning process. This included anonymous surveying, formally facilitated forum discussions, brainstorming, driver mapping and root cause analyses, which upheld collaboration and supported psychological safety. Many themes and trends were identified and over 600+ data points were compiled that would all be fed into the design of the strategic plan. All this resulting in a single strategic document that could be linked to the NSLHD's strategic plan. The RT strategic plan was positioned such that it could be interpreted, from all perspectives and workspaces, enabling all members of the team to be able to contribute to any parts of its success. During the strategic planning program, formally facilitated forum discussion demonstrated a clear consensus that as a department, and professional cohort, we valued our culture of research and development. And that this is a unique point of difference for the department as both a healthcare provider and employer. On a 5-point Likert Scale the median score was 5, with 96.9% of respondents (n=33) either somewhat agreeing or strongly agreeing on this point. [ABSTRACT FROM AUTHOR]

Published
2023
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13. DIVERGENCE: WHY INVEST IN IT? THE LOCAL AND BROADER IMPACTS OF INVESTING IN NEW ROLES AND NEW DIRECTIONS.

Author

Porter, B., Andree-Evarts, J., Sae-Lieo, S., Barnes, M., Grimberg, K., and Atyeo, J.

Subjects
OCCUPATIONAL roles, VOCATIONAL guidance, KEY performance indicators (Management), LEADERSHIP, HEALTH outcome assessment, LABOR supply, QUALITY assurance, CLINICAL medicine, RADIOTHERAPY, PATIENT care, ALLIED health personnel
Abstract

The radiation therapy profession has consistently shown the ability to adapt and integrate new technologies and techniques. In meeting the challenge of delivering the best of care to our patients, opportunities have emerged for radiation therapists (RTs) to progress their careers into advanced practice (AP) roles. AP has presented one of two traditional career pathways for RTs in Australia (the other being a leadership pathway). Where AP opportunities have historically been resourced to higher levels of experience, in treatment or dosimetry, the Northern Sydney Cancer Centre (NSCC) has taken a different approach. This is informed by strengths-based leadership. The needs of a department, in the context of a workforce shortage, are different, and alongside caring for our patients, we must meet the challenge of attracting and retaining our workforce. At the NSCC several positions have diverged away from traditional practice, each with the purpose of either: Enhancing patient care and experience; Developing and improving clinical practice and operations; or Seeking new paradigms that positively impact either of the above. These roles promote a strengths-based leadership approach, where the ideal candidates are encouraged to lean into their natural strengths. Each role falls within a domain of divergent practice and is filled by a portion of the department's existing workforce. The domains of divergent practice cover:Patient Care & Experience; New Clinical Practice; Education & Training; Research and Development; and Quality Improvement. Each divergent domain is approached dynamically. Rather than "silos" of expertise, with stagnant positions, they are promoted as domains applicable to all areas of practice, allowing all staff the opportunity to explore divergent practice within their own workspaces. The success of divergent practice is measurable and this is demonstrated in the early adoption of new techniques and technologies, enhanced patient experience, significant increase in scientific presentations and publications and performance in quality indicators. Over time, divergent practice has transformed clinical operations and this has unlocked efficiency gains in existing labour, which has then been re-invested in divergent practice, and so on. What has evolved is a symbiotic ecosystem where divergent practices and clinical practices support each other. Divergent practice has presented the workforce with opportunities to progress beyond operational norms with a diverse range of career opportunities. In the last 12 months, only one RT vacancy has been due to organisational attrition. All other vacancies have been created by internal promotion or transfer to other opportunities. Given that all vacancies have been successfully recruited to with external candidates, in a time of large-scale domestic vacancies, this would suggest a positively engaged workforce culture. In a post pandemic world, we have adopted a lower tolerance of "working unwell" and have required a consistent level of redundancy in our workforce. Our divergent workforce fulfils this. The whole workforce supports a clinical operation, but that operation is flexible and agile with symbiotic support from divergent practice that harnesses innovation. Divergent practice is becoming the engine that not only supports operational continuity but keeps it moving forward. [ABSTRACT FROM AUTHOR]

Published
2023
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14. Methodology for characterizing emissions from small (0.5–2 MTD) batch-fed gasification systems using multiple waste compositions.

Author

Aurell, J., Barnes, M., Gullett, B.K., Holder, A., and Eninger, R.

Subjects
*POLYCHLORINATED dibenzodioxins, *INCINERATION, *POLYCHLORINATED dibenzofurans, *SCRUBBER (Chemical technology), *SOLID waste, *POLYCYCLIC aromatic hydrocarbons
Abstract

• Emission transients are observed during batch operation. • A standard municipal waste is created for comparative testing. • Waste gasification emissions are compared with other thermal technologies. • Emissions change with variation of the waste composition. • Particle emissions are lower than for pile burns or air curtain incinerators. A compact, containerized gasification system was characterized for air emissions while burning four waste types. A methodology is presented for developing a standardized test waste composition and demonstrated using three military and one civilian waste types. Batch charges of waste were processed through a gasification chamber, afterburner, and wet scrubber. The 0.5–2 metric ton per day (MTD) system was designed for mobile deployment by the military in forward operations but would be applicable to small scale civilian applications. Emissions data from these types of small capacity, cyclically operated systems are lacking, limiting efforts to compare technologies and their environmental performance. Eight tests were conducted in a 7-day period at the Kilauea Military Camp (KMC) in Hawaii. The pollutants characterized were chosen based on their regulatory and health relevance: particulate matter (PM), mercury (Hg), elemental composition, volatile organic compounds (VOCs), polyaromatic hydrocarbons (PAHs), and polychlorinated dibenzo- p -dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs). Averaged data from 4-hour runs, including startups and shutdowns, indicated that five of the nine EPA-regulated compounds (lead, cadmium, Hg, sulfur dioxide, and hydrogen chloride) were under the emission limits set for Other Solid Waste Incineration Units (OSWI) while four, PCDD/PCDF, PM, nitrogen oxides, and carbon monoxide, were higher. The procedures through which waste compositions were created and emissions were characterized provide a methodology by which differing waste to energy technologies can be compared on an equivalent basis. This system's emissions compare favorably with alternative disposal methods. PM and PCDD/PCDF emission factors were, respectively, over 39 and 9 times lower from this unit than from published data on burning simulated military waste in an air curtain incinerator and in open burn piles ("burn pits"). [ABSTRACT FROM AUTHOR]

Published
2019
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18. Predictors of 1-Year Survival After Endovascular Aneurysm Repair.

Author

Fitridge, R.A., Boult, M., de Loryn, T., Cowled, P., and Barnes, M.

Abstract

Objective/background The purpose of this study was to determine the preoperative variables that best predict 1-year survival following elective endovascular aneurysm repair (EVAR), a period of time that would suggest the patient had benefited from the procedure. Most EVAR survival studies focus on early and late survival; scant information is available for 1-year survival. Methods Data from two Australian audits of EVAR (1999–2001 and 2009–13) were combined ( n = 1,647). Preoperative variables included routine demographic data, clinical health assessments, computed tomography-derived anatomical data, and all-cause mortality. Univariate and multivariate logistic regressions determined which variables best predicted 1-year survival. Results One-year survival after EVAR was 93.7% (1,544/1,647) and 30-day survival was 98.4% (1,620/1,647). Univariate analyses found that nine preoperative variables were significantly associated with 1-year survival. Five variables were included in the final multivariate model: American Society of Anesthesiologists physical status, aneurysm diameter, creatinine, respiratory assessment, and severity of iliac artery calcification (receiver–operator curve 0.717, R 2 = .117). Predicted 1-year survival ranged from 98.6% to 68.0%, based on differences in aneurysm size and patient comorbidities. Conclusion Personalised 1-year survival risk enables surgeons and patients to consider seriously the risks and benefits of EVAR prior to surgery. [ABSTRACT FROM AUTHOR]

Published
2016
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20. CTLA-4 promotes Foxp3 induction and regulatory T cell accumulation in the intestinal lamina propria.

Author

Barnes, M J, Griseri, T, Johnson, A M F, Young, W, Powrie, F, and Izcue, A

Subjects
*TRANSFORMING growth factors-beta, *FORKHEAD transcription factors, *HOMEOSTASIS, *T cell receptors, *ENDOCYTOSIS, *LYMPH nodes
Abstract

Thymic induction of CD4+Foxp3+ regulatory T (Treg) cells relies on CD28 costimulation and high-affinity T-cell receptor (TCR) signals, whereas Foxp3 (forkhead box P3) induction on activated peripheral CD4+ T cells is inhibited by these signals. Accordingly, the inhibitory molecule CTLA-4 (cytotoxic T-lymphocyte antigen 4) promoted, but was not essential for CD4+ T-cell Foxp3 induction in vitro. We show that CTLA-4-deficient cells are equivalent to wild-type cells in the thymic induction of Foxp3 and maintenance of Foxp3 populations in the spleen and mesenteric lymph nodes, but their accumulation in the colon, where Treg cells specific for commensal bacteria accumulate, is impaired. In a T cell-transfer model of colitis, the two known CTLA-4 ligands, B7-1 and B7-2, had largely redundant roles in inducing inflammation and promoting Treg cell function. However, B7-2 proved more efficient than B7-1 in inducing Foxp3 in vitro and in vivo. Our data reveal an unappreciated role for CTLA-4 in establishing the Foxp3+ compartment in the intestine. [ABSTRACT FROM AUTHOR]

Published
2013
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21. Personalised Predictions of Endovascular Aneurysm Repair Success Rates: Validating the ERA Model with UK Vascular Institute Data.

Author

Barnes, M., Boult, M., Thompson, M.M., Holt, P.J., and Fitridge, R.A.

Subjects
ENDOVASCULAR surgery, ABDOMINAL surgery, ABDOMINAL aortic aneurysms, PREOPERATIVE risk factors, MEDICAL statistics, TREATMENT effectiveness, SURGICAL complications, RECEIVER operating characteristic curves
Abstract

Abstract: Objective: The objective of this study was to externally validate the existing Australian Endovascular aneurysm repair Risk Assessment (ERA) Model using data from a major vascular centre in the United Kingdom. Methods: Data collected from 312 endovascular abdominal aortic aneurysm repair patients at St George’s Vascular Institute, London, UK were fitted to the ERA Model. Results: Despite St George’s patients being sicker (p < 0.001), having larger aneurysms (p < 0.001) and being more likely to die (p < 0.05) than the Australian patients, their data fitted the ERA Model well for the risk factors early death, aneurysm-related death, three-year survival and type I endoleaks as evidenced by higher area under ROC curves and/or higher R 2 goodness of fit statistics than the Australian data. Conclusions: The first external validation of the ERA Model using data from St George’s Vascular Institute suggests that this tool can be used in different countries and hospital settings. The authors believe the ERA Model is robust and allows valid personalised predictions of outcomes by surgeons treating routine aneurysms as well as those in tertiary referral practices with more adverse outcomes. [ABSTRACT FROM AUTHOR]

Published
2010
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24. A Model to Predict Outcomes for Endovascular Aneurysm Repair Using Preoperative Variables.

Author

Barnes, M., Boult, M., Maddern, G., and Fitridge, R.

Subjects
ANEURYSMS, CREATININE, MORTALITY, SURGERY
Abstract

Purpose: Models have been developed to predict the likely outcomes of endovascular aneurysm repair (EVAR) for patients, based on a longitudinal Australian audit. Methodology: Mid-term progress of 961 Australian patients who underwent EVAR has been collected and used to develop predictive models for 17 outcomes. Stepwise forward logistic regressions determined the significant preoperative patient variables to be included in each outcome model. An interactive program was subsequently developed to allow surgeons to review the predicted success rates for patients about to undergo the procedure. Each model was assessed using a global goodness of fit test and was internally validated using bootstrapping. Results: Eight pre-operative variables were included in the interactive model for 17 outcomes. The eight variables used were aneurysm size, age, ASA, gender, creatinine, aortic neck angle, infrarenal neck diameter and infrarenal neck length. The outcomes predicted included perioperative mortality, perioperative morbidity, mid-term survival and reintervention rates. All outcome models achieved reasonable goodness of fit, with the exception of the model for conversion to open repair (p =0.04). With respect to validation, survival, aneurysm related deaths, migrations, ruptures and conversions to open repair performed best in terms of predictive discrimination. Models for survival, migrations and conversions to open repairs performed best in terms of bias corrected R-squared index. The models with the smallest calibration error were 3 and 5 year survival, early deaths and mid-term type I endoleaks. Conclusions: An interactive model is available, which can assist vascular surgeons to evaluate the expected outcomes for a particular patient undergoing EVAR. The validated model is useful for counselling and pre-operative decision making. [Copyright &y& Elsevier]

Published
2008
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25. Factors Affecting Survival after Endovascular Aneurysm Repair: Results from a Population Based Audit.

Author

Boult, M., Maddern, G., Barnes, M., and Fitridge, R.

Subjects
SURGERY, MEDICINE, LIFE sciences, BIOLOGY
Abstract

Objectives: To determine the effect of pre-operative factors on mid-term survival of patients enrolled in an Australian audit of endovascular aneurysm repair (EVAR). Design: Prospective longitudinal national register (audit) of patients undergoing EVAR. Methods: 961 individuals who had elective or semi-urgent EVAR of abdominal aortic aneurysms were enrolled in the audit between November 1999 and May 2001. Data was contributed by 81 surgeons from 64 hospitals. Kaplan-Meier survival analysis was used to determine survival rates and factors significantly influencing survival. Parametric survival analysis with log-exponential distribution was used to estimate expected 3 and 5 year survival for different ages, ASA, creatinine and aneurysm sizes. Results: Overall survival was 93% at 1 year, 80% at 3 years and 67% at five years. Survival rates were found to be statistically associated with ASA, age, aneurysm size and creatinine levels. ASA has the largest effect. Five year survival rates for aneurysms ≥65mm and <55mm were 54% and 76% respectively. Pre-operative creatinine levels≥160μmol/L lowered the survival rate from 71% to 40%. Conclusions: Survival for EVAR patients is strongly correlated with a number of pre-operative factors. This survival analysis provides a useful decision-making tool for surgeons particularly for individuals with smaller aneurysms. [Copyright &y& Elsevier]

Published
2007
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26. Dopamine Antagonist Alters Serum Cortisol and Prolactin Secretion in Lactating Holstein Cows.

Author

Ahmadzadeh 1 2, A., Barnes, M. A., Gwazdauskas, F. C., and Akers, R. M.

Subjects
*GLUCOCORTICOIDS, *ANTI-inflammatory agents, *PROLACTIN, *LACTATION, *HOLSTEIN-Friesian cattle, *ADRENOCORTICAL hormones
Abstract

The role of dopamine in regulating glucocorticoid and prolactin secretion was investigated in lactating Holstein cows by characterizing serum cortisol and prolactin responses to fluphenazine, a dopamine receptor antagonist. Twelve anovulatory cows received an intravenous bolus injection of either saline (n = 6) or 0.3 mg of fluphenazine/kg of body weight (n = 6) in wk 2 postpartum. Blood samples were collected every 30 min for 4 h before and 4 h after saline or fluphenazine injection. Serum progesterone concentration was 0.13 ± 0.1 ng/ mL and did not differ between groups. No difference in serum cortisol concentrations was detected between groups before treatments. Fluphenazine increased serum cortisol concentrations within 30 min after fluphenazine administration (>30 ng/mL) and concentrations remained elevated throughout the sampling period. Cortisol remained unchanged in saline-treated cows (<10 ng/mL). Prolactin concentrations also increased after fluphenazine administration (103.1 ± 3.1 ng/mL), but were unaffected by saline (18 ± 3.1 ng/mL). Prolactin concentrations remained elevated throughout the sampling period in fluphenazine-treated cows. Our results indicated that a dopamine antagonist increased cortisol, suggesting that endogenous dopamine, at least in part, regulates cortisol and prolactin secretion. These effects are regulated through dopamine receptors in anovulatory lactating dairy cows during the early postpartum period. [ABSTRACT FROM AUTHOR]

Published
2006
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27. Predictors of Success Following Endovascular Aneurysm Repair: Mid-term Results.

Author

Boult, M., Babidge, W., Maddern, G., Barnes, M., Fitridge, R., and on behalf of the Audit Reference Group

Subjects
ENDOVASCULAR surgery, ANEURYSMS, EVALUATION of medical care
Abstract

Abstract: Objective: Australian cases of endovascular aneurysm repair (EVAR) performed between 1999 and 2001 have been evaluated to determine the mid-term (6 months to 5 years) safety and efficacy of the procedure. This study looks at predictors of success, based on mid-term follow-up data. Design of study: This study uses results obtained from a prospective semi-voluntary register (audit) of Australian data obtained from surgeons in the private and public sector. Results: Peri-operative mortality for patients enrolled in the audit was 1.8%. Ninety-three percent of procedures were technically successful (890/961). Nearly 13% of patients have had re-interventions (mostly endoluminal) at follow-up. Analysis of audit data shows that the likelihood of experiencing post-operative complications or requiring additional procedures increases with ASA rating, increasing age, large pre-operative aneurysm size, aneurysm angle >45° and number of co-morbid conditions diagnosed. Conclusions: This study confirms satisfactory mid-term results in a, national rather than unit specific, setting. Predictors of clinical failure or need for re-intervention include large aneurysm size, neck angulation ≥45 degrees and short infrarenal neck. [Copyright &y& Elsevier]

Published
2006
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29. PO-1791: Synchrotron Radiotherapy of Pet Cadavers at the Imaging and Medical Beamline.

Author

Day, L., Barnes, M., Smyth, L., Donzelli, M., Bartzsch, S., Klein, M., Butler, D., Hausermann, D., Ryan, S., and Crosbie, J.

Subjects
*MEDICAL cadavers, *SYNCHROTRONS, *RADIOTHERAPY, *IMAGE processing
Abstract

Poster: Physics track: Imaging acquisition and processing PO-1791: Synchrotron Radiotherapy of Pet Cadavers at the Imaging and Medical Beamline L. Day, M. Barnes, L. Smyth, M. Donzelli, S. Bartzsch, M. Klein, D. Butler, D. Hausermann, S. Ryan, J. Crosbie. [Extracted from the article]

Published
2020
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33. Un modèle d'intelligence artificielle prédit le focus score et le diagnostic de la maladie de Sjögren à partir de biopsies de glandes salivaires.

Author

Duquesne, J., Basseto, L., Barnes, M., Pontarini, E., Adam, C., Lazure, T., Bombardieri, M., Gallagher-Syed, A., Fischer, B., Nayar, S., Mariette, X., Bouget, V., and Bitoun, S.

Abstract

Les critères de classification de la maladie de Sjögren (MS) reposent sur la somme pondérée des 4 critères ACR/EULAR 2016 : (i) la quantification des agrégats lymphocytaires par le focus score (score ≥ 1) dans les biopsies des glandes salivaires accessoires (BGSA), (ii) la présence d'autoanticorps anti-SSA, et (iii) la quantification objective des sécheresses oculaire et (iv) buccale. La mesure du focus score sur la BGSA nécessite une expertise spécifique. En effet, Vivino et al. [1] observent que la relecture de lames par un centre expert mène à un changement du diagnostic dans 53 % des cas. Ceci conduit à des erreurs diagnostiques fréquentes car tous les patients n'ont pas accès à une relecture en centre expert. Nous avons donc cherché à développer deux modèles d'intelligence artificielle (IA) utilisant uniquement des BGSA : un pour mesurer automatiquement le FS (≥ 1 ou < 1) et l'autre pour prédire le diagnostic de MS. De plus, nous avons développé des modèles mettant en évidence quelles sous-régions de la biopsie sont utilisées pour la prédiction. Les modèles ont été développés à l'aide de lames BGSA numérisées dans trois centres experts, tous membres du consortium européen NECESSITY H2020 IMI2. Trois groupes de patients ont été inclus: des sujets contrôles avec un syndrome sec et un FS < 1, des patients MS avec un FS ≥ 1 et les patients MS avec un FS < 1. Les patients étaient inclus s'ils satisfaisaient aux critères de classification ACR/EULAR 2016. Les modèles d'IA ont été entraînés sur les données de 70 % des patients et validés sur les 30 % restants. Les performances des algorithmes ont été mesurées à l'aide de l'aire sous la courbe ROC (AUROC), des valeurs prédictives positives et négatives (VPP et VPN), de la spécificité et de la sensibilité. De plus, les modèles permettant de visualiser sur la BGSA un score de risque à chaque sous-région de biopsie. Ces scores permettent d'expliquer comment les prédictions de FS et de MS sont calculées par le modèle d'IA. Les données de 325 patients ont été inclues : 145 patients de l'hôpital Bicêtre, 71 de l'université Queen Mary à Londres et 109 de l'université de Birmingham. Dans la base de validation, le modèle a atteint un AUROC de 0,88 (0,85–0,90) pour la prédiction binaire du FS (≥ 1 ou < 1) ; et 0,84 (0,83–0,86) pour prédire le diagnostic de MS en utilisant uniquement la BGSA. Comme attendu, l'analyse des sous-régions histologiques utilisées par le modèle prédisant le FS a révélé la présence de foci de lymphocytes. Les résultats de performances détaillés pour les deux modèles sont disponibles dans le Tableau 1. L'IA peut prédire le FS et le diagnostic de MS avec précision à partir de lames BGSA numérisées. La prédiction du FS pourrait constituer un outil précieux pour les anatomopathologistes non spécialisés pour améliorer le diagnostic de MS. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Will patients "opt in" to perform their own rapid HIV test in the emergency department?

Author

Gaydos CA, Hsieh YH, Harvey L, Burah A, Won H, Jett-Goheen M, Barnes M, Agreda P, Arora N, Rothman RE, Gaydos, Charlotte A, Hsieh, Yu-Hsiang, Harvey, Leah, Burah, Avanti, Won, Helen, Jett-Goheen, Mary, Barnes, Mathilda, Agreda, Patricia, Arora, Nick, and Rothman, Richard E

Abstract

Objective: We evaluate the feasibility and accuracy of existing point-of-care HIV tests performed by an untrained patient compared with the routinely used HIV point-of-care test offered to patients in 2 urban emergency departments (EDs).Methods: From April 2008 through December 2009, patients who had completed a standard HIV oral fluid test performed by a trained health care professional and who were unaware of their results were recruited to perform a rapid point-of-care HIV test. Patients were given a choice of the oral fluid or the fingerstick blood point-of-care test. Evaluation of acceptability to perform the mechanics of the test was accessed by questionnaire. For the "self-test," the participant obtained his or her own sample and performed the test. The patient's results were compared with standard oral fluid results obtained by the health care professional.Results: Overall, 478 of 564 (85%) patients receiving a standard oral fluid HIV test volunteered, with a mean age of 38 to 39 years. Ninety-one percent of participants chose oral fluid and 9% chose blood (P<.05). Self-test results were 99.6% concordant with health care professionals' test results. For the self-testers, 94% of oral fluid testers and 84.4% of blood testers reported trusting the self-administered test result "very much." Furthermore, 95.6% of the oral fluid group and 93.3% of the blood group would "probably" or "definitely" perform a test at home, if available.Conclusion: This study demonstrated that a significant proportion of patients offered a self-HIV point-of-care test volunteered and preferred using oral fluid. Patients' results agreed with standard HIV point-of-care results. The majority of participants trusted their results and would perform a point-of-care HIV test at home, given the opportunity. [ABSTRACT FROM AUTHOR]

Published
2011
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49. Analysis and design of membrane structures: Results of a round robin exercise

Author

Gosling, P.D., Bridgens, B.N., Albrecht, A., Alpermann, H., Angeleri, A., Barnes, M., Bartle, N., Canobbio, R., Dieringer, F., Gellin, S., Lewis, W.J., Mageau, N., Mahadevan, R., Marion, J.-M., Marsden, P., Milligan, E., Phang, Y.P., Sahlin, K., Stimpfle, B., and Suire, O.

Subjects
*ARTIFICIAL membrane design & construction, *STRUCTURAL engineering, *TENSILE strength, *MICROFABRICATION, *NONLINEAR analysis, *STRAINS & stresses (Mechanics), *AXIAL loads
Abstract

Abstract: Tensile fabric structures are used for large-scale iconic structures worldwide, yet analysis and design methodologies are not codified in most countries and there is limited design guidance available. Non-linear material behaviour, large strains and displacements and the use of membrane action to resist loads require a fundamentally different approach to structural analysis and design compared to conventional roof structures. The aim of the round robin analysis exercise presented here is to understand the current state of analysis practice for tensile fabric structures, and to assess the level of consistency and harmony in current practice. The exercise consists of four precisely defined tensile fabric structures, with participants required to carry out the form finding and load analysis of each structure and report key values of stress, deflection and reactions. The results show very high levels of variability in terms of stresses, displacements, reactions and material design strengths, and highlight the need for future work to harmonise analysis methods and provide validation and benchmarking for membrane analysis software. Greater consistency is required to give confidence in the analysis and design process, to enable third party checking to be carried out in a meaningful and efficient manner, to provide a harmonious approach for Eurocode development, and to enable the full potential of tensile structures to be realised. [Copyright &y& Elsevier]

Published
2013
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