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10 results on '"Goumenos D"'

1. Evidence from the large VALIGA cohort validates the subclassification of focal segmental glomerulosclerosis in IgA nephropathy

Author

Coppo, R., Feehaly, J., Troyanov, S., Cattran, D.C., Cook, H.T., Roberts, I., Radcliffe, John, Russo, M.L., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Papagianni, K., Stangou, M., Giacchino, F., Goumenos, D., Papasotirious, M., Kalliakmani, P., Gerolymos, M., Galesic, K., Toric, L., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Hryszko, T., Klinger, M., Kamińska, D., Krajewska, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Cambier, A., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Diomedi-Casadei, F., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Royal, V., Bellur, Shubha S., Troyanov, Stéphan, Vorobyeva, Olga, Coppo, Rosanna, and Roberts, Ian S.D.

Published
2024
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2. Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy

Author

Russo, M.L., Troyanov, S., Cook, H.T., Roberts, I., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Papachristou, E., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Smerud, H. Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Terroba, J. Arce, Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Ljubanovic, D. Galesic, Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Bavbek, N., Cook, T., Alpers, C., Berthoux, F., Bonsib, S., D’Agati, V., D’Amico, G., Emancipator, S., Emmal, F., Fervenza, F., Florquin, S., Fogo, A., Groene, H., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, M., Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa, N., Zeng, C.-H., Shi, S., Nogi, C., Suzuki, H., Koike, K., Hirano, K., Yokoo, T., Hanai, M., Fukami, K., Takahashi, K., Yuzawa, Y., Niwa, M., Yasuda, Y., Maruyama, S., Ichikawa, D., Suzuki, T., Shirai, S., Fukuda, A., Fujimoto, S., Trimarchi, H., Barbour, Sean J., Coppo, Rosanna, Zhang, Hong, Liu, Zhi-Hong, Suzuki, Yusuke, Matsuzaki, Keiichi, Er, Lee, Reich, Heather N., Barratt, Jonathan, and Cattran, Daniel C.

Published
2022
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3. Development and testing of an artificial intelligence tool for predicting end-stage kidney disease in patients with immunoglobulin A nephropathy

Author

Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Coppo, R., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Angioi, A., Piras, L., Feehally, J., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Papasotiriou, M., Galesic, K., Toric, L., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Smerud, H. Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Rauen, T., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Grinyo, J.M. Boria, Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Martina, G., Messuerotti, A., Canton, A. Dal, Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Mazzucco, Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Terroba, J. Arce, Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., GalesicLjubanovic, D., Gakiopoulou, H., Bertoni, E., Ortiz, P. Cannata, Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., FulladosaOliveras, X., Maldyk, J., Ioachim, E., Abbrescia, Daniela, Kouri, Nikoleta, Stangou, Maria, Papagianni, Aikaterini, Scolari, Francesco, Delbarba, Elisa, Bonomini, Mario, Piscitani, Luca, Stallone, Giovanni, Infante, Barbara, Godeas, Giulia, Madio, Desiree, Biancone, Luigi, Campagna, Marco, Zaza, Gianluigi, Squarzoni, Isabella, Cangemi, Concetta, Schena, Francesco Paolo, Anelli, Vito Walter, Trotta, Joseph, Di Noia, Tommaso, Manno, Carlo, Tripepi, Giovanni, D’Arrigo, Graziella, Chesnaye, Nicholas C., Russo, Maria Luisa, Zoccali, Carmine, Tesar, Vladimir, and Coppo, Rosanna

Published
2021
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4. Improving treatment decisions using personalized risk assessment from the International IgA Nephropathy Prediction Tool

Author

Russo, M.L., Troyanov, S., Cook, H.T., Roberts, I., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Gerolymos, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., Bavbek, N., Cook, T., Alpers, C., Berthoux, F., Bonsib, S., D’Agati, V., D’Amico, G., Emancipator, S., Emmal, F., Fervenza, F., Florquin, S., Fogo, A., Groene, H., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, M., Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa N, N., Zeng, C.-H., Shi, S., Nogi, C., Suzuki, H., Koike, K., Hirano, K., Yokoo, T., Hanai, M., Fukami, K., Takahashi, K., Yuzawa, Y., Niwa, M., Yasuda, Y., Maruyama, S., Ichikawa, D., Suzuki, T., Shirai, S., Fukuda, A., Fujimoto, S., Trimarchi, H., Barbour, Sean J., Canney, Mark, Coppo, Rosanna, Zhang, Hong, Liu, Zhi-Hong, Suzuki, Yusuke, Matsuzaki, Keiichi, Katafuchi, Ritsuko, Induruwage, Dilshani, Er, Lee, Reich, Heather N., Feehally, John, Barratt, Jonathan, and Cattran, Daniel C.

Published
2020
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5. Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy

Author

Barbour, Sean J., primary, Coppo, Rosanna, additional, Zhang, Hong, additional, Liu, Zhi-Hong, additional, Suzuki, Yusuke, additional, Matsuzaki, Keiichi, additional, Er, Lee, additional, Reich, Heather N., additional, Barratt, Jonathan, additional, Cattran, Daniel C., additional, Russo, M.L., additional, Troyanov, S., additional, Cook, H.T., additional, Roberts, I., additional, Tesar, V., additional, Maixnerova, D., additional, Lundberg, S., additional, Gesualdo, L., additional, Emma, F., additional, Fuiano, L., additional, Beltrame, G., additional, Rollino, C., additional, Amore, A., additional, Camilla, R., additional, Peruzzi, L., additional, Praga, M., additional, Feriozzi, S., additional, Polci, R., additional, Segoloni, G., additional, Colla, L., additional, Pani, A., additional, Piras, D., additional, Angioi, A., additional, Cancarini, G., additional, Ravera, S., additional, Durlik, M., additional, Moggia, E., additional, Ballarin, J., additional, Di Giulio, S., additional, Pugliese, F., additional, Serriello, I., additional, Caliskan, Y., additional, Sever, M., additional, Kilicaslan, I., additional, Locatelli, F., additional, Del Vecchio, L., additional, Wetzels, J.F.M., additional, Peters, H., additional, Berg, U., additional, Carvalho, F., additional, da Costa Ferreira, A.C., additional, Maggio, M., additional, Wiecek, A., additional, Ots-Rosenberg, M., additional, Magistroni, R., additional, Topaloglu, R., additional, Bilginer, Y., additional, D’Amico, M., additional, Stangou, M., additional, Giacchino, F., additional, Goumenos, D., additional, Papachristou, E., additional, Galesic, K., additional, Geddes, C., additional, Siamopoulos, K., additional, Balafa, O., additional, Galliani, M., additional, Stratta, P., additional, Quaglia, M., additional, Bergia, R., additional, Cravero, R., additional, Salvadori, M., additional, Cirami, L., additional, Fellstrom, B., additional, Smerud, H. Kloster, additional, Ferrario, F., additional, Stellato, T., additional, Egido, J., additional, Martin, C., additional, Floege, J., additional, Eitner, F., additional, Lupo, A., additional, Bernich, P., additional, Menè, P., additional, Morosetti, M., additional, van Kooten, C., additional, Rabelink, T., additional, Reinders, M.E.J., additional, Boria Grinyo, J.M., additional, Cusinato, S., additional, Benozzi, L., additional, Savoldi, S., additional, Licata, C., additional, Mizerska-Wasiak, M., additional, Martina, G., additional, Messuerotti, A., additional, Dal Canton, A., additional, Esposito, C., additional, Migotto, C., additional, Triolo, G., additional, Mariano, F., additional, Pozzi, C., additional, Boero, R., additional, Bellur, S., additional, Mazzucco, G., additional, Giannakakis, C., additional, Honsova, E., additional, Sundelin, B., additional, Di Palma, A.M., additional, Gutiérrez, E., additional, Asunis, A.M., additional, Barratt, J., additional, Tardanico, R., additional, Perkowska-Ptasinska, A., additional, Terroba, J. Arce, additional, Fortunato, M., additional, Pantzaki, A., additional, Ozluk, Y., additional, Steenbergen, E., additional, Soderberg, M., additional, Riispere, Z., additional, Furci, L., additional, Orhan, D., additional, Kipgen, D., additional, Casartelli, D., additional, Ljubanovic, D. Galesic, additional, Gakiopoulou, H., additional, Bertoni, E., additional, Cannata Ortiz, P., additional, Karkoszka, H., additional, Groene, H.J., additional, Stoppacciaro, A., additional, Bajema, I., additional, Bruijn, J., additional, Fulladosa Oliveras, X., additional, Maldyk, J., additional, Ioachim, E., additional, Bavbek, N., additional, Cook, T., additional, Alpers, C., additional, Berthoux, F., additional, Bonsib, S., additional, D’Agati, V., additional, D’Amico, G., additional, Emancipator, S., additional, Emmal, F., additional, Fervenza, F., additional, Florquin, S., additional, Fogo, A., additional, Groene, H., additional, Haas, M., additional, Hill, P., additional, Hogg, R., additional, Hsu, S., additional, Hunley, T., additional, Hladunewich, M., additional, Jennette, C., additional, Joh, K., additional, Julian, B., additional, Kawamura, T., additional, Lai, F., additional, Leung, C., additional, Li, L., additional, Li, P., additional, Liu, Z., additional, Massat, A., additional, Mackinnon, B., additional, Mezzano, S., additional, Schena, F., additional, Tomino, Y., additional, Walker, P., additional, Wang, H., additional, Weening, J., additional, Yoshikawa, N., additional, Zeng, C.-H., additional, Shi, S., additional, Nogi, C., additional, Suzuki, H., additional, Koike, K., additional, Hirano, K., additional, Yokoo, T., additional, Hanai, M., additional, Fukami, K., additional, Takahashi, K., additional, Yuzawa, Y., additional, Niwa, M., additional, Yasuda, Y., additional, Maruyama, S., additional, Ichikawa, D., additional, Suzuki, T., additional, Shirai, S., additional, Fukuda, A., additional, Fujimoto, S., additional, and Trimarchi, H., additional

Published
2022
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6. Improving treatment decisions using personalized risk assessment from the International IgA Nephropathy Prediction Tool

Author

Barbour, Sean J., primary, Canney, Mark, additional, Coppo, Rosanna, additional, Zhang, Hong, additional, Liu, Zhi-Hong, additional, Suzuki, Yusuke, additional, Matsuzaki, Keiichi, additional, Katafuchi, Ritsuko, additional, Induruwage, Dilshani, additional, Er, Lee, additional, Reich, Heather N., additional, Feehally, John, additional, Barratt, Jonathan, additional, Cattran, Daniel C., additional, Russo, M.L., additional, Troyanov, S., additional, Cook, H.T., additional, Roberts, I., additional, Tesar, V., additional, Maixnerova, D., additional, Lundberg, S., additional, Gesualdo, L., additional, Emma, F., additional, Fuiano, L., additional, Beltrame, G., additional, Rollino, C., additional, Amore, A., additional, Camilla, R., additional, Peruzzi, L., additional, Praga, M., additional, Feriozzi, S., additional, Polci, R., additional, Segoloni, G., additional, Colla, L., additional, Pani, A., additional, Piras, D., additional, Angioi, A., additional, Cancarini, G., additional, Ravera, S., additional, Durlik, M., additional, Moggia, E., additional, Ballarin, J., additional, Di Giulio, S., additional, Pugliese, F., additional, Serriello, I., additional, Caliskan, Y., additional, Sever, M., additional, Kilicaslan, I., additional, Locatelli, F., additional, Del Vecchio, L., additional, Wetzels, J.F.M., additional, Peters, H., additional, Berg, U., additional, Carvalho, F., additional, da Costa Ferreira, A.C., additional, Maggio, M., additional, Wiecek, A., additional, Ots-Rosenberg, M., additional, Magistroni, R., additional, Topaloglu, R., additional, Bilginer, Y., additional, D’Amico, M., additional, Stangou, M., additional, Giacchino, F., additional, Goumenos, D., additional, Kalliakmani, P., additional, Gerolymos, M., additional, Galesic, K., additional, Geddes, C., additional, Siamopoulos, K., additional, Balafa, O., additional, Galliani, M., additional, Stratta, P., additional, Quaglia, M., additional, Bergia, R., additional, Cravero, R., additional, Salvadori, M., additional, Cirami, L., additional, Fellstrom, B., additional, Kloster Smerud, H., additional, Ferrario, F., additional, Stellato, T., additional, Egido, J., additional, Martin, C., additional, Floege, J., additional, Eitner, F., additional, Lupo, A., additional, Bernich, P., additional, Menè, P., additional, Morosetti, M., additional, van Kooten, C., additional, Rabelink, T., additional, Reinders, M.E.J., additional, Boria Grinyo, J.M., additional, Cusinato, S., additional, Benozzi, L., additional, Savoldi, S., additional, Licata, C., additional, Mizerska-Wasiak, M., additional, Martina, G., additional, Messuerotti, A., additional, Dal Canton, A., additional, Esposito, C., additional, Migotto, C., additional, Triolo, G., additional, Mariano, F., additional, Pozzi, C., additional, Boero, R., additional, Bellur, S., additional, Mazzucco, G., additional, Giannakakis, C., additional, Honsova, E., additional, Sundelin, B., additional, Di Palma, A.M., additional, Gutiérrez, E., additional, Asunis, A.M., additional, Barratt, J., additional, Tardanico, R., additional, Perkowska-Ptasinska, A., additional, Arce Terroba, J., additional, Fortunato, M., additional, Pantzaki, A., additional, Ozluk, Y., additional, Steenbergen, E., additional, Soderberg, M., additional, Riispere, Z., additional, Furci, L., additional, Orhan, D., additional, Kipgen, D., additional, Casartelli, D., additional, Galesic Ljubanovic, D., additional, Gakiopoulou, H., additional, Bertoni, E., additional, Cannata Ortiz, P., additional, Karkoszka, H., additional, Groene, H.J., additional, Stoppacciaro, A., additional, Bajema, I., additional, Bruijn, J., additional, Fulladosa Oliveras, X., additional, Maldyk, J., additional, Ioachim, E., additional, Bavbek, N., additional, Cook, T., additional, Alpers, C., additional, Berthoux, F., additional, Bonsib, S., additional, D’Agati, V., additional, D’Amico, G., additional, Emancipator, S., additional, Emmal, F., additional, Fervenza, F., additional, Florquin, S., additional, Fogo, A., additional, Groene, H., additional, Haas, M., additional, Hill, P., additional, Hogg, R., additional, Hsu, S., additional, Hunley, T., additional, Hladunewich, M., additional, Jennette, C., additional, Joh, K., additional, Julian, B., additional, Kawamura, T., additional, Lai, F., additional, Leung, C., additional, Li, L., additional, Li, P., additional, Liu, Z., additional, Massat, A., additional, Mackinnon, B., additional, Mezzano, S., additional, Schena, F., additional, Tomino, Y., additional, Walker, P., additional, Wang, H., additional, Weening, J., additional, Yoshikawa N, N., additional, Zeng, C.-H., additional, Shi, S., additional, Nogi, C., additional, Suzuki, H., additional, Koike, K., additional, Hirano, K., additional, Yokoo, T., additional, Hanai, M., additional, Fukami, K., additional, Takahashi, K., additional, Yuzawa, Y., additional, Niwa, M., additional, Yasuda, Y., additional, Maruyama, S., additional, Ichikawa, D., additional, Suzuki, T., additional, Shirai, S., additional, Fukuda, A., additional, Fujimoto, S., additional, and Trimarchi, H., additional

Published
2020
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7. Development and testing of an artificial intelligence tool for predicting end-stage kidney disease in patients with immunoglobulin A nephropathy

Author

Schena, Francesco Paolo, Anelli, Vito Walter, Trotta, Joseph, Di Noia, Tommaso, Manno, Carlo, Tripepi, Giovanni, D’Arrigo, Graziella, Chesnaye, Nicholas C., Russo, Maria Luisa, Stangou, Maria, Papagianni, Aikaterini, Zoccali, Carmine, Tesar, Vladimir, Coppo, Rosanna, Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Coppo, R., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Angioi, A., Piras, L., Feehally, J., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Papasotiriou, M., Galesic, K., Toric, L., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Smerud, H. Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Rauen, T., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Grinyo, J.M. Boria, Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Martina, G., Messuerotti, A., Canton, A. Dal, Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Mazzucco, Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Ferrario, F., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Terroba, J. Arce, Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., GalesicLjubanovic, D., Gakiopoulou, H., Bertoni, E., Ortiz, P. Cannata, Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., FulladosaOliveras, X., Maldyk, J., Ioachim, E., Abbrescia, Daniela, Kouri, Nikoleta, Stangou, Maria, Papagianni, Aikaterini, Scolari, Francesco, Delbarba, Elisa, Bonomini, Mario, Piscitani, Luca, Stallone, Giovanni, Infante, Barbara, Godeas, Giulia, Madio, Desiree, Biancone, Luigi, Campagna, Marco, Zaza, Gianluigi, Squarzoni, Isabella, and Cangemi, Concetta

Abstract

We have developed an artificial neural network prediction model for end-stage kidney disease (ESKD) in patients with primary immunoglobulin A nephropathy (IgAN) using a retrospective cohort of 948 patients with IgAN. Our tool is based on a two-step procedure of a classifier model that predicts ESKD, and a regression model that predicts development of ESKD over time. The classifier model showed a performance value of 0.82 (area under the receiver operating characteristic curve) in patients with a follow-up of five years, which improved to 0.89 at the ten-year follow-up. Both models had a higher recall rate, which indicated the practicality of the tool. The regression model showed a mean absolute error of 1.78 years and a root mean square error of 2.15 years. Testing in an independent cohort of 167patients with IgAN found successful results for 91% of the patients. Comparison of our system with other mathematical models showed the highest discriminant Harrell C index at five- and ten-years follow-up (81% and 86%, respectively), paralleling the lowest Akaike information criterion values (355.01 and 269.56, respectively). Moreover, our system was the best calibrated model indicating that the predicted and observed outcome probabilities did not significantly differ. Finally, the dynamic discrimination indexes of our artificial neural network, expressed as the weighted average of time-dependent areas under the curve calculated at one and two years, were 0.80 and 0.79, respectively. Similar results were observed over a 25-year follow-up period. Thus, our tool identified individuals who were at a high risk of developing ESKD due to IgAN and predicted the time-to-event endpoint. Accurate prediction is an important step toward introduction of a therapeutic strategy for improving clinical outcomes.

Published
2021
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8. Evidence from the large VALIGA cohort validates the subclassification of focal segmental glomerulosclerosis in IgA nephropathy

Author

Bellur, Shubha S., Troyanov, Stéphan, Vorobyeva, Olga, Coppo, Rosanna, Roberts, Ian S.D., Coppo, R., Feehaly, J., Troyanov, S., Cattran, D.C., Cook, H.T., Roberts, I., Radcliffe, John, Russo, M.L., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Piras, D., Angioi, A., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Papagianni, K., Stangou, M., Giacchino, F., Goumenos, D., Papasotirious, M., Kalliakmani, P., Gerolymos, M., Galesic, K., Toric, L., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Durlik, M., Hryszko, T., Klinger, M., Kamińska, D., Krajewska, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Cambier, A., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Ferrario, F., Diomedi-Casadei, F., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., Ioachim, E., and Royal, V.

Abstract

Evidence from the Oxford IgA nephropathy (IgAN) cohort supports the clinical value of subclassifying focal segmental glomerulosclerosis lesions (S1). Using the larger Validation in IgA (VALIGA) study cohort, we investigated the association between podocytopathic changes and higher proteinuria, kidney outcome and response to immunosuppressive therapy. All biopsies were evaluated for glomeruli with segmental capillary occlusion by matrix (“not otherwise specified”, NOS lesion), simple capsular adhesion without capillary occlusion (Adh), tip lesions, and podocyte hypertrophy (PH). S1 required a NOS lesion and/or Adh. A Chi-Squared Automatic Interaction Detection method was used to identify subgroups of FSGS lesions associated with distinctive proteinuria at biopsy and assessed survival from a combined event (kidney failure or 50% decline in estimated glomerular filtration rate). Finally, we evaluated within each subgroup if immunosuppression was associated with a favorable outcome using propensity analysis. In 1147 patients, S1 was found in 70% of biopsies. Subclassification found NOS lesions in 44%, Adh in 59%, PH in 13%, and tip lesions in 3%, with much overlap. Four subgroups were identified with progressively higher proteinuria: from lowest, S1 without NOS, S1 with NOS but without Adh/PH, to highest, S1 with NOS and Adh but without PH, and S1 with NOS and PH. These four subgroups showed progressively worse kidney survival. Immunosuppression was associated with a better outcome only in the two highest proteinuria subgroups. Propensity analysis in these two groups, adjusted for clinical and pathological findings, found a significant time-dependent hazard of combined outcome with corticosteroids. Podocyte hypertrophy and glomeruli with simple adhesions appeared to reflect active lesions associated with a response to corticosteroids, while other S1 lesions defined chronicity. Thus, our findings support subclassifying S1 lesions in IgAN.

Published
2024
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9. The MEST score provides earlier risk prediction in lgA nephropathy

Author

Barbour, Sean J., Espino-Hernandez, Gabriela, Reich, Heather N., Coppo, Rosanna, Roberts, Ian S.D., Feehally, John, Herzenberg, Andrew M., Cattran, Daniel C., Bavbek, N., Cook, T., Troyanov, S., Alpers, C., Amore, A., Barratt, J., Berthoux, F., Bonsib, S., Bruijn, J., D’Agati, V., D’Amico, G., Emancipator, S., Emmal, F., Ferrario, F., Fervenza, F., Florquin, S., Fogo, A., Geddes, C., Groene, H., Haas, M., Hill, P., Hogg, R., Hsu, S., Hunley, T., Hladunewich, M., Jennette, C., Joh, K., Julian, B., Kawamura, T., Lai, F., Leung, C., Li, L., Li, P., Liu, Z., Massat, A., Mackinnon, B., Mezzano, S., Schena, F., Tomino, Y., Walker, P., Wang, H., Weening, J., Yoshikawa, N., Zhang, H., Coppo, R., Troyanov, S., Cattran, D.C., Cook, H.T., Feehally, J., Roberts, I., Tesar, V., Maixnerova, D., Lundberg, S., Gesualdo, L., Emma, F., Fuiano, L., Beltrame, G., Rollino, C., RC, Amore, A., Camilla, R., Peruzzi, L., Praga, M., Feriozzi, S., Polci, R., Segoloni, G., Colla, L., Pani, A., Angioi, A., Piras, L., JF, Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Del Vecchio, L., Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., da Costa Ferreira, A.C., Maggio, M., Wiecek, A., Ots-Rosenberg, M., Magistroni, R., Topaloglu, R., Bilginer, Y., D’Amico, M., Stangou, M., Giacchino, F., Goumenos, D., Kalliakmani, P., Gerolymos, M., Galesic, K., Geddes, C., Siamopoulos, K., Balafa, O., Galliani, M., Stratta, P., Quaglia, M., Bergia, R., Cravero, R., Salvadori, M., Cirami, L., Fellstrom, B., Kloster Smerud, H., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Menè, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M.E.J., Boria Grinyo, J.M., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Di Palma, A.M., Ferrario, F., Gutiérrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Arce Terroba, J., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Galesic Ljubanovic, D., Gakiopoulou, H., Bertoni, E., Cannata Ortiz, P., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Fulladosa Oliveras, X., Maldyk, J., and Ioachim, E.

Abstract

The Oxford Classification of IgA nephropathy (IgAN) includes the following four histologic components: mesangial (M) and endocapillary (E) hypercellularity, segmental sclerosis (S) and interstitial fibrosis/tubular atrophy (T). These combine to form the MEST score and are independently associated with renal outcome. Current prediction and risk stratification in IgAN requires clinical data over 2 years of follow-up. Using modern prediction tools, we examined whether combining MEST with cross-sectional clinical data at biopsy provides earlier risk prediction in IgAN than current best methods that use 2 years of follow-up data. We used a cohort of 901 adults with IgAN from the Oxford derivation and North American validation studies and the VALIGA study followed for a median of 5.6 years to analyze the primary outcome (50% decrease in eGFR or ESRD) using Cox regression models. Covariates of clinical data at biopsy (eGFR, proteinuria, MAP) with or without MEST, and then 2-year clinical data alone (2-year average of proteinuria/MAP, eGFR at biopsy) were considered. There was significant improvement in prediction by adding MEST to clinical data at biopsy. The combination predicted the outcome as well as the 2-year clinical data alone, with comparable calibration curves. This effect did not change in subgroups treated or not with RAS blockade or immunosuppression. Thus, combining the MEST score with cross-sectional clinical data at biopsy provides earlier risk prediction in IgAN than our current best methods.

Published
2016
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10. In a retrospective international study, circulating miR-148b and let-7b were found to be serum markers for detecting primary IgA nephropathy.

Author

Serino G, Pesce F, Sallustio F, De Palma G, Cox SN, Curci C, Zaza G, Lai KN, Leung JC, Tang SC, Papagianni A, Stangou M, Goumenos D, Gerolymos M, Takahashi K, Yuzawa Y, Maruyama S, Imai E, and Schena FP

Subjects
Adult, Area Under Curve, Asian People genetics, Female, Genetic Markers, Glomerulonephritis, IGA diagnosis, Glomerulonephritis, IGA ethnology, Glomerulonephritis, IGA genetics, Greece epidemiology, Hong Kong epidemiology, Humans, Italy epidemiology, Japan epidemiology, Male, MicroRNAs genetics, Middle Aged, Predictive Value of Tests, Prognosis, ROC Curve, Reproducibility of Results, Retrospective Studies, White People genetics, Glomerulonephritis, IGA blood, MicroRNAs blood
Abstract

Immunoglobulin A nephropathy (IgAN) is a worldwide disease characterized by the presence of galactose-deficient IgA1 deposits in the glomerular mesangium. A kidney biopsy for diagnosis is required. Here, we measured two miRNAs (let-7b and miR-148b), previously identified as regulators of the O-glycosylation process of IgA1, in serum samples from patients with IgAN and healthy blood donors (controls) recruited in an international multicenter study. Two predictive models, based on these miRNAs, were developed and the diagnostic accuracy of the combined biomarkers was assessed by the area under the receiver operating characteristic (ROC) curve (AUC) carried out in three steps. In a training study, the combined miRNAs were able to discriminate between 100 patients with IgAN and 119 controls (AUC, 0.82). A validation study confirmed the model in an independent cohort of 145 patients with IgAN and 64 controls (AUC, 0.78). Finally, in a test study, the combined biomarkers were able to discriminate patients with IgAN from 105 patients affected by other forms of primary glomerulonephritis, supporting the specificity (AUC, 0.76). Using the same study design, we also performed two subgroup analyses (one for Caucasians and one for East Asians) and found that race-specific models were the best fit to distinguish IgAN patients from controls. Thus, serum levels of the combined miRNA biomarker, let-7b and miR-148b, appears to be a novel, reliable, and noninvasive test to predict the probability of having IgAN.

Published
2016
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