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27 results on '"Polci R"'

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. Is there long-term value of pathology scoring in immunoglobulin A nephropathy? A validation study of the Oxford Classification for IgA Nephropathy (VALIGA) update

Author

Coppo, R., D'Arrigo, G., Tripepi, G., Russo, M. L., Roberts, I. S. D., Bellur, S., Cattran, D., Cook, T. H., Feehally, J., Tesar, V., Maixnerova, D., Peruzzi, L., Amore, A., Lundberg, S., Di Palma, A. M., Gesualdo, L., Emma, F., Rollino, C., Praga, M., Biancone, L., Pani, A., Feriozzi, S., Polci, R., Barratt, J., Del Vecchio, L., Locatelli, F., Pierucci, A., Caliskan, Y., Perkowska-Ptasinska, A., Durlik, M., Moggia, E., Ballarin, J. C., Wetzels, J. F. M., Goumenos, D., Papasotiriou, M., Galesic, K., Toric, L., Papagianni, A., Stangou, M., Benozzi, L., Cusinato, S., Berg, U., Topaloglu, R., Maggio, M., Ots-Rosenberg, M., D'Amico, M., Geddes, C., Balafa, O., Quaglia, M., Cravero, R., Cirami, C. L., Fellstrom, B., Floege, J., Egido, J., Mallamaci, F., Zoccali, C., Fuiano, L., Beltrame, G., Camilla, R., Segoloni, G., Colla, L., Angioi, A., Piras, L., Cancarini, G., Ravera, S., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Sever, M., Kilicaslan, I., Peters, H., Carvalho, F., Da Costa Ferreira, A. C., Wiecek, A., Magistroni, R., Bilginer, Y., Giacchino, F., Papastirou, M., Siamopoulos, K., Galliani, M., Stratta, P., Bergia, R., Salvadori, M., Cirami, L., Kloster Smerud, H., Ferrario, F., Stellato, T., Martin, C., Eitner, F., Rauen, T., Lupo, A., Bernich, P., Mene, P., Morosetti, M., Van Kooten, C., Rabelink, T., Reinders, M. E. J., Boria Grinyo, J. M., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Gutierrez, E., Asunis, A. M., Tardanico, R., 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., Akiopoulou, 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 Internal Medicine

Subjects
Adult, Male, Pathology, medicine.medical_specialty, Adolescent, 030232 urology & nephrology, Renal function, 030204 cardiovascular system & hematology, Kidney, Nephropathy, Cohort Studies, 03 medical and health sciences, Glomerulonephritis, 0302 clinical medicine, renal biopsy, Interquartile range, IgA nephropathy, progression, risk factors, Child, Disease Progression, Female, Follow-Up Studies, Glomerular Filtration Rate, Glomerulonephritis, IGA, Humans, Prognosis, Medicine, Endocapillary hypercellularity, IGA, Transplantation, medicine.diagnostic_test, business.industry, medicine.disease, medicine.anatomical_structure, Renal pathology, Nephrology, Cohort, Renal biopsy, Renal disorders Radboud Institute for Health Sciences [Radboudumc 11], business
Abstract

Background It is unknown whether renal pathology lesions in immunoglobulin A nephropathy (IgAN) correlate with renal outcomes over decades of follow-up. Methods In 1130 patients of the original Validation Study of the Oxford Classification for IgA Nephropathy (VALIGA) cohort, we studied the relationship between the MEST score (mesangial hypercellularity, M; endocapillary hypercellularity, E; segmental glomerulosclerosis, S; tubular atrophy/interstitial fibrosis, T), crescents (C) and other histological lesions with both a combined renal endpoint [50% estimated glomerular filtration rate (eGFR) loss or kidney failure] and the rate of eGFR decline over a follow-up period extending to 35 years [median 7 years (interquartile range 4.1–10.8)]. Results In this extended analysis, M1, S1 and T1–T2 lesions as well as the whole MEST score were independently related with the combined endpoint (P Conclusion Long-term follow-up analyses of the VALIGA cohort showed that the independent relationship between kidney biopsy findings and the risk of progression towards kidney failure in IgAN remains unchanged across all age groups and decades after the renal biopsy.

Published
2020

7. Quantifying duration of proteinuria remission and association with clinical outcome in IgA nephropathy

Author

Canney, M., Barbour, S. J., Zheng, Y., Coppo, R., Zhang, H., Liu, Z. -H., Matsuzaki, K., Suzuki, Y., Katafuchi, R., Reich, H. N., Cattran, D., 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., Mene, 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., Gutierrez, 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., Feehally, J., 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, 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., Anesthesiology, Pathology, Graduate School, ACS - Heart failure & arrhythmias, and ACS - Atherosclerosis & ischemic syndromes

Subjects
Male, Time Factors, glomerular disease, 030232 urology & nephrology, 030204 cardiovascular system & hematology, Gastroenterology, 0302 clinical medicine, Outcome Assessment, Health Care, Clinical endpoint, Medicine, Clinical Epidemiology, Proteinuria, medicine.diagnostic_test, Remission Induction, Hazard ratio, IgA nephropathy, General Medicine, Middle Aged, end stage kidney disease, epidemiology and outcomes, proteinuria, renal function decline, renal pathology, 3. Good health, Renal pathology, Nephrology, Disease Progression, Female, medicine.symptom, Glomerular Filtration Rate, Adult, medicine.medical_specialty, Nephropathy, 03 medical and health sciences, Internal medicine, Biopsy, Humans, Proportional Hazards Models, Retrospective Studies, business.industry, Surrogate endpoint, Glomerulonephritis, IGA, medicine.disease, Confidence interval, Renal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11], Kidney Failure, Chronic, Renal disorders Radboud Institute for Health Sciences [Radboudumc 11], business
Abstract

Contains fulltext : 232930.pdf (Publisher’s version ) (Closed access) BACKGROUND: On the basis of findings of observational studies and a meta-analysis, proteinuria reduction has been proposed as a surrogate outcome in IgA nephropathy. How long a reduction in proteinuria needs to be maintained to mitigate the long-term risk of disease progression is unknown. METHODS: In this retrospective multiethnic cohort of adult patients with IgA nephropathy, we defined proteinuria remission as a ≥25% reduction in proteinuria from the peak value after biopsy, and an absolute reduction in proteinuria to

Published
2021

8. Quantifying duration of proteinuria remission and association with clinical outcome in IgA nephropathy

Author

Canney, M. Barbour, S.J. Zheng, Y. Coppo, R. Zhang, H. Liu, Z.-H. Matsuzaki, K. Suzuki, Y. Katafuchi, R. Reich, H.N. Cattran, D. 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. Feehally, J. 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 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. International IgA Nephropathy Network

Abstract

Background On the basis of findings of observational studies and a meta-analysis, proteinuria reduction has been proposed as a surrogate outcome in IgA nephropathy. How long a reduction in proteinuria needs to be maintained to mitigate the long-term risk of disease progression is unknown. Methods In this retrospective multiethnic cohort of adult patients with IgA nephropathy, we defined proteinuria remission as a $25% reduction in proteinuria from the peak value after biopsy, and an absolute reduction in proteinuria to,1 g/d. The exposure of interest was the total duration of first remission, treated as a time-varying covariate using longitudinal proteinuria measurements. We used time-dependent Cox proportional hazards regression models to quantify the association between the duration of remission and the primary outcome (ESKD or a 50% reduction in eGFR). Results During a median follow-up of 3.9 years, 274 of 1864 patients (14.7%) experienced the primary outcome. The relationship between duration of proteinuria remission and outcome was nonlinear. Each 3 months in sustained remission up to approximately 4 years was associated with an additional 9% reduction in the risk of disease progression (hazard ratio [HR], 0.91; 95% confidence interval [95% CI], 0.89 to 0.93). Thereafter, each additional 3 months in remission was associated with a smaller, nonsignificant risk reduction (HR, 0.99; 95% CI, 0.96 to 1.03). These findings were robust to multivariable adjustment and consistent across clinical and histologic subgroups. Conclusions Our findings support the use of proteinuria as a surrogate outcome in IgA nephropathy, but additionally demonstrate the value of quantifying the duration of proteinuria remission when estimating the risk of hard clinical endpoints. Copyright © 2021 by the American Society of Nephrology.

Published
2021

9. 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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10. Reproducibility of the Oxford classification of immunoglobulin A nephropathy, impact of biopsy scoring on treatment allocation and clinical relevance of disagreements: Evidence from the VALidation of IGA study cohort

Author

Bellur, S.S. Roberts, I.S.D. Troyanov, S. Royal, V. Coppo, R. Cook, H.T. Cattran, D. Terroba, Y.A. Asunis, A.M. Bajema, I. Bertoni, E. Bruijn, J.A. Cannata-Ortiz, P. Casartelli, D. Di Palma, A.M. Ferrario, F. Fortunato, M. Furci, L. Gakiopoulou, H. Ljubanovic, D.G. Giannakakis, K. Gomá, M. Gröne, H.-J. Gutiérrez, E. Haider, S.A. Honsova, E. Ioachim, E. Karkoszka, H. Kipgen, D. Maldyk, J. Mazzucco, G. Orhan, D. Ozluk, Y. Pantzaki, A. Perkowska-Ptasinska, A. Riispere, Z. Soderberg, M.P. Steenbergen, E. Stoppacciaro, A. Von Feilitzen, B.S. Tardanico, R. 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. Barratt, J. Cancarini, G. Ravera, S. Durlik, M. Moggia, E. Ballarin, J. Di Giulio, S. Pugliese, F. Serriello, I. Caliskan, Y. Sever, M. 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. Grinyo, J.M. Fulladosa, X. Cusinato, S. Benozzi, L. Savoldi, S. Licata, C. Mizerska-Wasiak, M. Roszkowska-Blaim, M. Martina, G. Messuerotti, A. Dal Canton, A. Esposito, C. Migotto, C. Triolo, G. Mariano, F. Pozzi, C. Boero, R. Kilicaslan, I.

Abstract

Background: The VALidation of IGA (VALIGA) study investigated the utility of the Oxford Classification of immunoglobulin A nephropathy (IgAN) in 1147 patients from 13 European countries. Methods. Biopsies were scored by local pathologists followed by central review in Oxford. We had two distinct objectives: to assess how closely pathology findings were associated with the decision to give corticosteroid/immunosuppressive (CS/IS) treatments, and to determine the impact of differences in MEST-C scoring between central and local pathologists on the clinical value of the Oxford Classification. We tested for each lesion the associations between the type of agreement (local and central pathologists scoring absent, local present and central absent, local absent and central present, both scoring present) with the initial clinical assessment, as well as long-term outcomes in those patients who did not receive CS/IS. Results: All glomerular lesions (M, E, C and S) assessed by local pathologists were independently associated with the decision to administer CS/IS therapy, while the severity of tubulointerstitial lesions was not. Reproducibility between local and central pathologists was moderate for S (segmental sclerosis) and T (tubular atrophy/interstitial fibrosis), and poor for M (mesangial hypercellularity), E (endocapillary hypercellularity) and C (crescents). Local pathologists found statistically more of each lesion, except for the S lesion, which was more frequent with central review. Disagreements were more likely to occur when the proportion of glomeruli affected was low. The M lesion, assessed by central pathologists, correlated better with the severity of the disease at presentation and discriminated better with outcomes. In contrast, the E lesion, evaluated by local pathologists, correlated better with the clinical presentation and outcomes when compared with central review. Both C and S lesions, when discordant between local and central pathologists, had a clinical phenotype intermediate to double absent lesions (milder disease) and double present (more severe). Conclusion: We conclude that differences in the scoring of MEST-C criteria between local pathologists and a central reviewer have a significant impact on the prognostic value of the Oxford Classification. Since the decision to offer immunosuppressive therapy in this cohort was intimately associated with the MEST-C score, this study indicates a need for a more detailed guidance for pathologists in the scoring of IgAN biopsies. © 2018 The Author(s) 2018. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Published
2019

11. Reproducibility of the Oxford classification of immunoglobulin A nephropathy, impact of biopsy scoring on treatment allocation and clinical relevance of disagreements: Evidence from the VALidation of IGA study cohort

Author

Bellur, S. S., Roberts, I. S. D., Troyanov, S., Royal, V., Coppo, R., Cook, H. T., Cattran, D., Terroba, Y. A., Asunis, A. M., Bajema, I., Bertoni, E., Bruijn, J. A., Cannata-Ortiz, P., Casartelli, D., Di Palma, A. M., Ferrario, F., Fortunato, M., Furci, L., Gakiopoulou, H., Ljubanovic, D. G., Giannakakis, K., Goma, M., Grone, H. -J., Gutierrez, E., Haider, S. A., Honsova, E., Ioachim, E., Karkoszka, H., Kipgen, D., Maldyk, J., Mazzucco, G., Orhan, D., Ozluk, Y., Pantzaki, A., Perkowska-Ptasinska, A., Riispere, Z., Soderberg, M. P., Steenbergen, E., Stoppacciaro, A., Von Feilitzen, B. S., Tardanico, R., 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., Angioi, A., Piras, L., Feehally, J., Barratt, J., Cancarini, G., Ravera, S., Durlik, M., Moggia, E., Ballarin, J., Di Giulio, S., Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., 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., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Mene, P., Morosetti, M., van Kooten, C., Rabelink, T., Reinders, M. E. J., Grinyo, J. M., Fulladosa, X., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Roszkowska-Blaim, M., Martina, G., Messuerotti, A., Dal Canton, A., Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., and Kilicaslan, I.

Subjects
medicine.medical_specialty, IgA nephropathy, immunosuppression, kidney biopsy, Oxford classification, proteinuria, medicine.medical_treatment, Biopsy, 030232 urology & nephrology, Disease, 030204 cardiovascular system & hematology, Lesion, 03 medical and health sciences, 0302 clinical medicine, Glomerulonephritis, Models, Internal medicine, medicine, Humans, Endocapillary hypercellularity, Clinical significance, IGA, Retrospective Studies, Observer Variation, Transplantation, Models, Statistical, Proteinuria, medicine.diagnostic_test, business.industry, Patient Selection, Oxford classification, Reproducibility of Results, Glomerulonephritis, IGA, Immunosuppression, Statistical, Prognosis, Nephrology, proteinuria, Glomerular Filtration Rate, Immunosuppressive Agents, Cohort, medicine.symptom, business
Abstract

Background The VALidation of IGA (VALIGA) study investigated the utility of the Oxford Classification of immunoglobulin A nephropathy (IgAN) in 1147 patients from 13 European countries. Methods. Biopsies were scored by local pathologists followed by central review in Oxford. We had two distinct objectives: to assess how closely pathology findings were associated with the decision to give corticosteroid/immunosuppressive (CS/IS) treatments, and to determine the impact of differences in MEST-C scoring between central and local pathologists on the clinical value of the Oxford Classification. We tested for each lesion the associations between the type of agreement (local and central pathologists scoring absent, local present and central absent, local absent and central present, both scoring present) with the initial clinical assessment, as well as long-term outcomes in those patients who did not receive CS/IS. Results All glomerular lesions (M, E, C and S) assessed by local pathologists were independently associated with the decision to administer CS/IS therapy, while the severity of tubulointerstitial lesions was not. Reproducibility between local and central pathologists was moderate for S (segmental sclerosis) and T (tubular atrophy/interstitial fibrosis), and poor for M (mesangial hypercellularity), E (endocapillary hypercellularity) and C (crescents). Local pathologists found statistically more of each lesion, except for the S lesion, which was more frequent with central review. Disagreements were more likely to occur when the proportion of glomeruli affected was low. The M lesion, assessed by central pathologists, correlated better with the severity of the disease at presentation and discriminated better with outcomes. In contrast, the E lesion, evaluated by local pathologists, correlated better with the clinical presentation and outcomes when compared with central review. Both C and S lesions, when discordant between local and central pathologists, had a clinical phenotype intermediate to double absent lesions (milder disease) and double present (more severe). Conclusion We conclude that differences in the scoring of MEST-C criteria between local pathologists and a central reviewer have a significant impact on the prognostic value of the Oxford Classification. Since the decision to offer immunosuppressive therapy in this cohort was intimately associated with the MEST-C score, this study indicates a need for a more detailed guidance for pathologists in the scoring of IgAN biopsies.

Published
2019

12. Evaluating a New International Risk-Prediction Tool in IgA Nephropathy

Author

Barbour, S.J., Coppo, R., Zhang, H., Liu, Z.H., Suzuki, Y., Matsuzaki, K., Katafuchi, R., Er, L., Espino-Hernandez, G., Kim, S.J., Reich, H.N., Feehally, J., Cattran, D.C., 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., Giulio, S. di, Pugliese, F., Serriello, I., Caliskan, Y., Sever, M., Kilicaslan, I., Locatelli, F., Vecchio, L. del, Wetzels, J.F.M., Peters, H., Berg, U., Carvalho, F., Ferreira, A.C.D., 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., Fellstrorn, B., Smerud, H.K., Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Mene, R., Morosetti, M., Kooten, C. van, Rabelink, T., Reinders, M.E.J., Grinyo, J.M.B., Cusinato, S., Benozzi, L., Savoldi, S., Licata, C., Mizerska-Wasiak, M., Martina, G., Messuerotti, A., Canton, A. dal, Esposito, C., Migotto, C., Triolo, G., Mariano, F., Pozzi, C., Boero, R., Bellur, S., Mazzucco, G., Giannakakis, C., Honsova, E., Sundelin, B., Palma, A.M. di, Gutierrez, E., Asunis, A.M., Barratt, J., Tardanico, R., Perkowska-Ptasinska, A., Terroba, J.A., Fortunato, M., Pantzaki, A., Ozluk, Y., Steenbergen, E., Soderberg, M., Riispere, Z., Furci, L., Orhan, D., Kipgen, D., Casartelli, D., Ljubanovic, D.G., Gakiopoulou, H., Bertoni, E., Ortiz, P.C., Karkoszka, H., Groene, H.J., Stoppacciaro, A., Bajema, I., Bruijn, J., Oliveras, X.F., Maldyk, J., Loachim, 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, 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.F., 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., Int IgA Nephropathy Network, and Pathology

Subjects
Adult, Male, medicine.medical_specialty, Risk Assessment, 01 natural sciences, Nephropathy, 03 medical and health sciences, 0302 clinical medicine, Interquartile range, Internal medicine, Internal Medicine, Humans, Medicine, 030212 general & internal medicine, 0101 mathematics, business.industry, Proportional hazards model, Clinical study design, 010102 general mathematics, Glomerulonephritis, IGA, Middle Aged, Models, Theoretical, medicine.disease, Clinical trial, Cohort, Female, business, Risk assessment, Kidney disease
Abstract

ImportanceAlthough IgA nephropathy (IgAN) is the most common glomerulonephritis in the world, there is no validated tool to predict disease progression. This limits patient-specific risk stratification and treatment decisions, clinical trial recruitment, and biomarker validation. ObjectiveTo derive and externally validate a prediction model for disease progression in IgAN that can be applied at the time of kidney biopsy in multiple ethnic groups worldwide. Design, Setting, and ParticipantsWe derived and externally validated a prediction model using clinical and histologic risk factors that are readily available in clinical practice. Large, multi-ethnic cohorts of adults with biopsy-proven IgAN were included from Europe, North America, China, and Japan. Main Outcomes and MeasuresCox proportional hazards models were used to analyze the risk of a 50% decline in estimated glomerular filtration rate (eGFR) or end-stage kidney disease, and were evaluated using the R-D(2) measure, Akaike information criterion (AIC), C statistic, continuous net reclassification improvement (NRI), integrated discrimination improvement (IDI), and calibration plots. ResultsThe study included 3927 patients; mean age, 35.4 (interquartile range, 28.0-45.4) years; and 2173 (55.3%) were men. The following prediction models were created in a derivation cohort of 2781 patients: a clinical model that included eGFR, blood pressure, and proteinuria at biopsy; and 2 full models that also contained the MEST histologic score, age, medication use, and either racial/ethnic characteristics (white, Japanese, or Chinese) or no racial/ethnic characteristics, to allow application in other ethnic groups. Compared with the clinical model, the full models with and without race/ethnicity had better R-D(2) (26.3% and 25.3%, respectively, vs 20.3%) and AIC (6338 and 6379, respectively, vs 6485), significant increases in C statistic from 0.78 to 0.82 and 0.81, respectively (Delta C, 0.04; 95% CI, 0.03-0.04 and Delta C, 0.03; 95% CI, 0.02-0.03, respectively), and significant improvement in reclassification as assessed by the NRI (0.18; 95% CI, 0.07-0.29 and 0.51; 95% CI, 0.39-0.62, respectively) and IDI (0.07; 95% CI, 0.06-0.08 and 0.06; 95% CI, 0.05-0.06, respectively). External validation was performed in a cohort of 1146 patients. For both full models, the C statistics (0.82; 95% CI, 0.81-0.83 with race/ethnicity; 0.81; 95% CI, 0.80-0.82 without race/ethnicity) and R-D(2) (both 35.3%) were similar or better than in the validation cohort, with excellent calibration. Conclusions and RelevanceIn this study, the 2 full prediction models were shown to be accurate and validated methods for predicting disease progression and patient risk stratification in IgAN in multi-ethnic cohorts, with additional applications to clinical trial design and biomarker research.

Published
2019

13. Evaluating a New International Risk-Prediction Tool in IgA Nephropathy

Author

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

Abstract

ImportanceAlthough IgA nephropathy (IgAN) is the most common glomerulonephritis in the world, there is no validated tool to predict disease progression. This limits patient-specific risk stratification and treatment decisions, clinical trial recruitment, and biomarker validation. ObjectiveTo derive and externally validate a prediction model for disease progression in IgAN that can be applied at the time of kidney biopsy in multiple ethnic groups worldwide. Design, Setting, and ParticipantsWe derived and externally validated a prediction model using clinical and histologic risk factors that are readily available in clinical practice. Large, multi-ethnic cohorts of adults with biopsy-proven IgAN were included from Europe, North America, China, and Japan. Main Outcomes and MeasuresCox proportional hazards models were used to analyze the risk of a 50% decline in estimated glomerular filtration rate (eGFR) or end-stage kidney disease, and were evaluated using the R-D(2) measure, Akaike information criterion (AIC), C statistic, continuous net reclassification improvement (NRI), integrated discrimination improvement (IDI), and calibration plots. ResultsThe study included 3927 patients; mean age, 35.4 (interquartile range, 28.0-45.4) years; and 2173 (55.3%) were men. The following prediction models were created in a derivation cohort of 2781 patients: a clinical model that included eGFR, blood pressure, and proteinuria at biopsy; and 2 full models that also contained the MEST histologic score, age, medication use, and either racial/ethnic characteristics (white, Japanese, or Chinese) or no racial/ethnic characteristics, to allow application in other ethnic groups. Compared with the clinical model, the full models with and without race/ethnicity had better R-D(2) (26.3% and 25.3%, respectively, vs 20.3%) and AIC (6338 and 6379, respectively, vs 6485), significant increases in C statistic from 0.78 to 0.82 and 0.81, respectively (Delta C, 0.04; 95% CI, 0.03-0.04 and Delta C, 0.03; 95% CI, 0.02-0.03, respectively), and significant improvement in reclassification as assessed by the NRI (0.18; 95% CI, 0.07-0.29 and 0.51; 95% CI, 0.39-0.62, respectively) and IDI (0.07; 95% CI, 0.06-0.08 and 0.06; 95% CI, 0.05-0.06, respectively). External validation was performed in a cohort of 1146 patients. For both full models, the C statistics (0.82; 95% CI, 0.81-0.83 with race/ethnicity; 0.81; 95% CI, 0.80-0.82 without race/ethnicity) and R-D(2) (both 35.3%) were similar or better than in the validation cohort, with excellent calibration. Conclusions and RelevanceIn this study, the 2 full prediction models were shown to be accurate and validated methods for predicting disease progression and patient risk stratification in IgAN in multi-ethnic cohorts, with additional applications to clinical trial design and biomarker research.

Published
2019

14. Evaluating a New International Risk-Prediction Tool in IgA Nephropathy

Author

Barbour, Sean J., Coppo, Rosanna, Zhang, Hong, Liu, Zhi-Hong, Suzuki, Yusuke, Matsuzaki, Keiichi, Katafuchi, Ritsuko, Er, Lee, Espino-Hernandez, Gabriela, Kim, S. Joseph, Reich, Heather N., Feehally, John, Cattran, Daniel C., 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., Fellström, Bengt, Smerud, Hilde Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Mene, R., 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., Gutierrez, 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., 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., Loachim, 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, Cai-Hong, Shi, Sufang, 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, Katafuchi, Ritsuko, Er, Lee, Espino-Hernandez, Gabriela, Kim, S. Joseph, Reich, Heather N., Feehally, John, Cattran, Daniel C., 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., Fellström, Bengt, Smerud, Hilde Kloster, Ferrario, F., Stellato, T., Egido, J., Martin, C., Floege, J., Eitner, F., Lupo, A., Bernich, P., Mene, R., 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., Gutierrez, 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., 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., Loachim, 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, Cai-Hong, Shi, Sufang, 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., and Trimarchi, H.

Abstract

Importance Although IgA nephropathy (IgAN) is the most common glomerulonephritis in the world, there is no validated tool to predict disease progression. This limits patient-specific risk stratification and treatment decisions, clinical trial recruitment, and biomarker validation. Objective To derive and externally validate a prediction model for disease progression in IgAN that can be applied at the time of kidney biopsy in multiple ethnic groups worldwide. Design, Setting, and Participants We derived and externally validated a prediction model using clinical and histologic risk factors that are readily available in clinical practice. Large, multi-ethnic cohorts of adults with biopsy-proven IgAN were included from Europe, North America, China, and Japan. Main Outcomes and Measures Cox proportional hazards models were used to analyze the risk of a 50% decline in estimated glomerular filtration rate (eGFR) or end-stage kidney disease, and were evaluated using the R2D measure, Akaike information criterion (AIC), C statistic, continuous net reclassification improvement (NRI), integrated discrimination improvement (IDI), and calibration plots. Results The study included 3927 patients; mean age, 35.4 (interquartile range, 28.0-45.4) years; and 2173 (55.3%) were men. The following prediction models were created in a derivation cohort of 2781 patients: a clinical model that included eGFR, blood pressure, and proteinuria at biopsy; and 2 full models that also contained the MEST histologic score, age, medication use, and either racial/ethnic characteristics (white, Japanese, or Chinese) or no racial/ethnic characteristics, to allow application in other ethnic groups. Compared with the clinical model, the full models with and without race/ethnicity had better R2D (26.3% and 25.3%, respectively, vs 20.3%) and AIC (6338 and 6379, respectively, vs 6485), significant increases in C statistic from 0.78 to 0.82 and 0.81, respectively (ΔC, 0.04; 95% CI, 0.03-0.04 and ΔC, 0.03

Published
2019
Full Text
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15. 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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16. Risk factors for progression in children and young adults with IgA nephropathy: an analysis of 261 cases from the VALIGA European cohort

Author

Coppo, R., Lofaro, D., Camilla, R.R., Bellur, S., Cattran, D., Cook, H.T., Roberts, I.S., Peruzzi, L., Amore, A., Emma, F., Fuiano, L., Berg, U., Topaloglu, R., Bilginer, Y., Gesualdo, L., Polci, R., Mizerska-Wasiak, M., Caliskan, Y., Lundberg, S., Cancarini, G., Geddes, C., Wetzels, J., Wiecek, A., Durlik, M., Cusinato, S., Rollino, C., Maggio, M., Praga, M., Smerud, H.K., Tesar, V., Maixnerova, D., Barratt, J., Papalia, T., Bonofiglio, R., Mazzucco, G., Giannakakis, C., Soderberg, M., Orhan, D., Palma, A.M. De, Maldyk, J., Ozluk, Y., Sudelin, B., Tardanico, R., Kipgen, D., Steenbergen, E., Karkoszka, H., Perkowska-Ptasinska, A., Ferrario, F., Gutierrez, E., Honsova, E., Coppo, R., Lofaro, D., Camilla, R.R., Bellur, S., Cattran, D., Cook, H.T., Roberts, I.S., Peruzzi, L., Amore, A., Emma, F., Fuiano, L., Berg, U., Topaloglu, R., Bilginer, Y., Gesualdo, L., Polci, R., Mizerska-Wasiak, M., Caliskan, Y., Lundberg, S., Cancarini, G., Geddes, C., Wetzels, J., Wiecek, A., Durlik, M., Cusinato, S., Rollino, C., Maggio, M., Praga, M., Smerud, H.K., Tesar, V., Maixnerova, D., Barratt, J., Papalia, T., Bonofiglio, R., Mazzucco, G., Giannakakis, C., Soderberg, M., Orhan, D., Palma, A.M. De, Maldyk, J., Ozluk, Y., Sudelin, B., Tardanico, R., Kipgen, D., Steenbergen, E., Karkoszka, H., Perkowska-Ptasinska, A., Ferrario, F., Gutierrez, E., and Honsova, E.

Abstract

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Published
2017

17. Tonsillectomy in a European Cohort of 1,147 Patients with IgA Nephropathy

Author

Feehally, J, Coppo, R, Troyanov, S, Bellur, Ss, Cattran, D, Cook, T, Roberts, Is, Verhave, Jc, Camilla, R, Vergano, L, Egido, J, Wiecek, A, Karkoszka, H, Tesar, V, Maixnerova, D, Ots-Rosenberg, M, Quaglia, M, Rollino, C, Magistroni, R, Cusinato, S, Cravero, R, Peruzzi, L, Lundberg, S, Gesualdo, L, Cancarini, G, Feriozzi, S, Ferrario, F, Emma, F, Fuiano, L, Beltrame, G, Amore, A, Praga, M, Polci, R, Biancone, L, Colla, L, Pani, A, Angioi, A, Piras, D, Ravera, S, Durlik, M, Moggia, E, Ballarin, J, Di Giulio, S, Pierucci, A, Caliskan, Y, Sever, M, Kilicaslan, I, Locatelli, F, Del Vecchio, L, Wetzels, Jf, Peters, H, Berg, U, Carvalho, F, da Costa Ferreira AC, Maggio, M, 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, Bergia, R, Salvadori, M, Cirami, L, Fellstrom, B, Kloster Smerud, H, Stellato, T, Cleary, C, Floege, J, Rauen, T, Lupo, A, Bernich, P, Menè, P, Morosetti, M, van Kooten, C, Rabelink, T, Reinders, Me, Boria Grinyo JM, Benozzi, L, Savoldi, S, Licata, C, Mizerska-Wasiak, M, Roszkowska-Blaim, M, Martina, G, Messuerotti, A, Dal Canton, A, Esposito, C, Migotto, C, Triolo, G, Mariano, F, Pozzi, C, Di Palma AM, Boero, R, Mazzucco, G, Giannakakis, C, Honsova, E, Sundelin, B, Gutiérrez, E, Asunis, Am, 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, Groene, Hj, Stoppacciaro, A, Bajema, I, Bruijn, J, Fulladosa Oliveras, X, Maldyk, J, and Ioachim, E.

Subjects
Male, Physiology, medicine.medical_treatment, IgA nephropathy, Tonsillectomy, Risk factors, Progression of chronic renal failure, 030232 urology & nephrology, 030204 cardiovascular system & hematology, urologic and male genital diseases, Gastroenterology, Progression of chronic renal failure, Cohort Studies, Kidney Failure, Glomerulonephritis, 0302 clinical medicine, Ethnicity, Chronic, Proteinuria, medicine.diagnostic_test, Age Factors, IgA nephropathy, Middle Aged, Europe, Treatment Outcome, Nephrology, Cohort, Disease Progression, Female, Renal biopsy, medicine.symptom, Glomerular Filtration Rate, Cohort study, Adult, medicine.medical_specialty, Urology, Renal function, Ethnic Groups, Nephropathy, iga nephropathy, tonsillectomy, risk factors, progression of chronic renal failure, 03 medical and health sciences, Sex Factors, Physiology (medical), Internal medicine, Risk factors, Tonsillectomy, medicine, Humans, Follow-Up Studies, Glomerulonephritis, IGA, Kidney Failure, Chronic, Propensity Score, Retrospective Studies, IGA, business.industry, Retrospective cohort study, medicine.disease, Renal disorders Radboud Institute for Health Sciences [Radboudumc 11], business
Abstract

Background: Tonsillectomy has been considered a treatment for IgA nephropathy (IgAN). It is aimed at removing a source of pathogens, reducing mucosa-associated lymphoid tissue and decreasing polymeric IgA synthesis. However, its beneficial effect is still controversial. In Asia, favorable outcomes have been claimed mostly in association with corticosteroids. In Europe, small, single-center uncontrolled studies have failed to show benefits. Methods: The European validation study of the Oxford classification of IgAN (VALIGA) collected data from 1,147 patients with IgAN over a follow-up of 4.7 years. We investigated the outcome of progression to end-stage renal disease (ESRD) and/or 50% loss of estimated glomerular filtration rate (eGFR) and the annual loss of eGFR in 61 patients who had had tonsillectomy. Results: Using the propensity score, which is a logistic regression model, we paired 41 patients with tonsillectomy and 41 without tonsillectomy with similar risk of progression (gender, age, race, mean blood pressure, proteinuria, eGFR at renal biopsy, previous treatments and Oxford MEST scores). No significant difference was found in the outcome. Moreover, we performed an additional propensity score pairing 17 patients who underwent tonsillectomy after the diagnosis of IgAN and 51 without tonsillectomy with similar risk of progression at renal biopsy and subsequent treatments. No significant difference was found in changes in proteinuria, or in the renal end point of 50% reduction in GFR and/or ESRD, or in the annual loss of eGFR. Conclusion: In the large VALIGA cohort of European subjects with IgAN, no significant correlation was found between tonsillectomy and renal function decline.

Published
2016

18. Extracapillary proliferation is an independent predictive factor in Immunoglobulin A nephropathy

Author

Serriello, I, Polci, R, Feriozzi, S, Gigante, A, Di Giulio, S, Rosa, M, Galliani, M, Morosetti, M, Pugliese, F, Petitti, T, Onetti Muda, A, and Giannakakis, K

Subjects
Settore MED/14 - Nefrologia, Adult, Male, Adolescent, Biopsy, Kidney Glomerulus, Glomerulonephritis, IGA, Middle Aged, Young Adult, renal biopsy, Italy, Predictive Value of Tests, end-stage kidney disease, Disease Progression, Linear Models, immunopathology, Humans, immunoglobulin A nephropathy, glomerulonephritis, Female, Aged, Cell Proliferation, Glomerular Filtration Rate, Retrospective Studies
Abstract

Oxford classification of Immunoglobulin A Nephropathy (IgAN) identifies four pathological features as predictors of renal outcome (MEST-score): mesangial proliferation (M); endocapillary proliferation (E); segmental glomerulosclerosis (S); tubular atrophy/interstitial fibrosis (T). In particular extracapillary proliferation (Ex) was not considered as an independent histological variable predicting renal outcome. Recently the VALIGA study provided a validation of the Oxford classification in a large European cohort of IgAN patients and re-stated that Ex is not associated with a worse renal prognosis. We propose a retrospective study to evaluate the predictive value of the MEST-score in a multi-centre, single region group of patients from central Italy and in addition, to investigate Ex as a marker predicting renal outcome.One hundred and seven patients were enrolled in this study. Clinical data of each patient were available at diagnosis and follow-up. The median age at diagnosis was 36.7 years; 72% of the patients were males. Histological parameters were those included in the MEST-score of the Oxford classification; in addition, Ex was also assessed.Multiple linear regression models for survey were used. Statistical analysis showed a correlation between the progression of renal decline, in terms of estimated glomerular filtration rate (slope eGFR), and M, S, T. Differently from Oxford and VALIGA studies, no correlation was found with E, while Ex correlated with a decline of eGFR.Our results suggest that Ex represents an additional independent variable associated with a faster decline of renal function in IgAN.

Published
2015

19. 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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20. 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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21. Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy

Author

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

Subjects
Adult, disease progression, end-stage kidney disease, IgA nephropathy, prediction tool, risk prediction, Biopsy, Glomerulonephritis, IGA, Prognosis, Cohort Studies, Renal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11], Nephrology, Humans, Renal Insufficiency, Renal disorders Radboud Institute for Health Sciences [Radboudumc 11], Glomerular Filtration Rate
Abstract

Kidney international 102(1), 160-172 (2022). doi:10.1016/j.kint.2022.02.042, Published by Elsevier, New York, NY

Published
2022

22. Genome-wide association analyses define pathogenic signaling pathways and prioritize drug targets for IgA nephropathy.

Author

Kiryluk K, Sanchez-Rodriguez E, Zhou XJ, Zanoni F, Liu L, Mladkova N, Khan A, Marasa M, Zhang JY, Balderes O, Sanna-Cherchi S, Bomback AS, Canetta PA, Appel GB, Radhakrishnan J, Trimarchi H, Sprangers B, Cattran DC, Reich H, Pei Y, Ravani P, Galesic K, Maixnerova D, Tesar V, Stengel B, Metzger M, Canaud G, Maillard N, Berthoux F, Berthelot L, Pillebout E, Monteiro R, Nelson R, Wyatt RJ, Smoyer W, Mahan J, Samhar AA, Hidalgo G, Quiroga A, Weng P, Sreedharan R, Selewski D, Davis K, Kallash M, Vasylyeva TL, Rheault M, Chishti A, Ranch D, Wenderfer SE, Samsonov D, Claes DJ, Akchurin O, Goumenos D, Stangou M, Nagy J, Kovacs T, Fiaccadori E, Amoroso A, Barlassina C, Cusi D, Del Vecchio L, Battaglia GG, Bodria M, Boer E, Bono L, Boscutti G, Caridi G, Lugani F, Ghiggeri G, Coppo R, Peruzzi L, Esposito V, Esposito C, Feriozzi S, Polci R, Frasca G, Galliani M, Garozzo M, Mitrotti A, Gesualdo L, Granata S, Zaza G, Londrino F, Magistroni R, Pisani I, Magnano A, Marcantoni C, Messa P, Mignani R, Pani A, Ponticelli C, Roccatello D, Salvadori M, Salvi E, Santoro D, Gembillo G, Savoldi S, Spotti D, Zamboli P, Izzi C, Alberici F, Delbarba E, Florczak M, Krata N, Mucha K, Pączek L, Niemczyk S, Moszczuk B, Pańczyk-Tomaszewska M, Mizerska-Wasiak M, Perkowska-Ptasińska A, Bączkowska T, Durlik M, Pawlaczyk K, Sikora P, Zaniew M, Kaminska D, Krajewska M, Kuzmiuk-Glembin I, Heleniak Z, Bullo-Piontecka B, Liberek T, Dębska-Slizien A, Hryszko T, Materna-Kiryluk A, Miklaszewska M, Szczepańska M, Dyga K, Machura E, Siniewicz-Luzeńczyk K, Pawlak-Bratkowska M, Tkaczyk M, Runowski D, Kwella N, Drożdż D, Habura I, Kronenberg F, Prikhodina L, van Heel D, Fontaine B, Cotsapas C, Wijmenga C, Franke A, Annese V, Gregersen PK, Parameswaran S, Weirauch M, Kottyan L, Harley JB, Suzuki H, Narita I, Goto S, Lee H, Kim DK, Kim YS, Park JH, Cho B, Choi M, Van Wijk A, Huerta A, Ars E, Ballarin J, Lundberg S, Vogt B, Mani LY, Caliskan Y, Barratt J, Abeygunaratne T, Kalra PA, Gale DP, Panzer U, Rauen T, Floege J, Schlosser P, Ekici AB, Eckardt KU, Chen N, Xie J, Lifton RP, Loos RJF, Kenny EE, Ionita-Laza I, Köttgen A, Julian BA, Novak J, Scolari F, Zhang H, and Gharavi AG

Subjects
Animals, Mice, Genome-Wide Association Study, Immunoglobulin A genetics, Glomerulonephritis, IGA drug therapy, Glomerulonephritis, IGA genetics, Glomerulonephritis, IGA diagnosis
Abstract

IgA nephropathy (IgAN) is a progressive form of kidney disease defined by glomerular deposition of IgA. Here we performed a genome-wide association study of 10,146 kidney-biopsy-diagnosed IgAN cases and 28,751 controls across 17 international cohorts. We defined 30 genome-wide significant risk loci explaining 11% of disease risk. A total of 16 loci were new, including TNFSF4/TNFSF18, REL, CD28, PF4V1, LY86, LYN, ANXA3, TNFSF8/TNFSF15, REEP3, ZMIZ1, OVOL1/RELA, ETS1, IGH, IRF8, TNFRSF13B and FCAR. The risk loci were enriched in gene orthologs causing abnormal IgA levels when genetically manipulated in mice. We also observed a positive genetic correlation between IgAN and serum IgA levels. High polygenic score for IgAN was associated with earlier onset of kidney failure. In a comprehensive functional annotation analysis of candidate causal genes, we observed convergence of biological candidates on a common set of inflammatory signaling pathways and cytokine ligand-receptor pairs, prioritizing potential new drug targets., (© 2023. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Published
2023
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23. Erratum to: Risk factors for progression in children and young adults with IgA nephropathy: an analysis of 261 cases from the VALIGA European cohort.

Author

Coppo R, Lofaro D, Camilla RR, Bellur S, Cattran D, Cook HT, Roberts IS, Peruzzi L, Amore A, Emma F, Fuiano L, Berg U, Topaloglu R, Bilginer Y, Gesualdo L, Polci R, Mizerska-Wasiak M, Caliskan Y, Lundberg S, Cancarini G, Geddes C, Wetzels J, Wiecek A, Durlik M, Cusinato S, Rollino C, Maggio M, Praga M, Smerud HK, Tesar V, Maixnerova D, Barratt J, Papalia T, Bonofiglio R, Mazzucco G, Giannakakis C, Soderberg M, Orhan D, Di Palma AM, Maldyk J, Ozluk Y, Sudelin B, Tardanico R, Kipgen D, Steenbergen E, Karkoszka H, Perkowska-Ptasinska A, Ferrario F, Gutierrez E, and Honsova E

Published
2017
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24. Risk factors for progression in children and young adults with IgA nephropathy: an analysis of 261 cases from the VALIGA European cohort.

Author

Coppo R, Lofaro D, Camilla RR, Bellur S, Cattran D, Cook HT, Roberts IS, Peruzzi L, Amore A, Emma F, Fuiano L, Berg U, Topaloglu R, Bilginer Y, Gesualdo L, Polci R, Mizerska-Wasiak M, Caliskan Y, Lundberg S, Cancarini G, Geddes C, Wetzels J, Wiecek A, Durlik M, Cusinato S, Rollino C, Maggio M, Praga M, K Smerud H, Tesar V, Maixnerova D, Barratt J, Papalia T, Bonofiglio R, Mazzucco G, Giannakakis C, Soderberg M, Orhan D, Di Palma AM, Maldyk J, Ozluk Y, Sudelin B, Tardanico R, Kipgen D, Steenbergen E, Karkoszka H, Perkowska-Ptasinska A, Ferrario F, Gutierrez E, and Honsova E

Subjects
Adrenal Cortex Hormones therapeutic use, Age Factors, Biopsy, Child, Child, Preschool, Cohort Studies, Disease Progression, Endpoint Determination, Europe epidemiology, Female, Glomerular Filtration Rate, Glomerulonephritis, IGA drug therapy, Glomerulonephritis, IGA pathology, Humans, Immunosuppressive Agents, Infant, Kidney pathology, Kidney Failure, Chronic epidemiology, Kidney Failure, Chronic pathology, Male, Proteinuria epidemiology, Proteinuria pathology, Retrospective Studies, Risk Factors, Sex Factors, Survival Analysis, Glomerulonephritis, IGA epidemiology
Abstract

Background: There is a need for early identification of children with immunoglobulin A nephropathy (IgAN) at risk of progression of kidney disease., Methods: Data on 261 young patients [age <23 years; mean follow-up of 4.9 (range 2.5-8.1) years] enrolled in VALIGA, a study designed to validate the Oxford Classification of IgAN, were assessed. Renal biopsies were scored for the presence of mesangial hypercellularity (M1), endocapillary hypercellularity (E1), segmental glomerulosclerosis (S1), tubular atrophy/interstitial fibrosis (T1-2) (MEST score) and crescents (C1). Progression was assessed as end stage renal disease and/or a 50 % loss of estimated glomerular filtration rate (eGFR) (combined endpoint) as well as the rate of renal function decline (slope of eGFR). Cox regression and tree classification binary models were used and compared., Results: In this cohort of 261 subjects aged <23 years, Cox analysis validated the MEST M, S and T scores for predicting survival to the combined endpoint but failed to prove that these scores had predictive value in the sub-group of 174 children aged <18 years. The regression tree classification indicated that patients with M1 were at risk of developing higher time-averaged proteinuria (p < 0.0001) and the combined endpoint (p < 0.001). An initial proteinuria of ≥0.4 g/day/1.73 m 2 and an eGFR of <90 ml/min/1.73 m 2 were determined to be risk factors in subjects with M0. Children aged <16 years with M0 and well-preserved eGFR (>90 ml/min/1.73 m 2 ) at presentation had a significantly high probability of proteinuria remission during follow-up and a higher remission rate following treatment with corticosteroid and/or immunosuppressive therapy., Conclusion: This new statistical approach has identified clinical and histological risk factors associated with outcome in children and young adults with IgAN.

Published
2017
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25. [The management in surgery of the polycystic disease].

Author

Feriozzi S, Polci R, Mangeri M, and Scolari F

Subjects
Ambulatory Surgical Procedures, Humans, Practice Guidelines as Topic, Polycystic Kidney Diseases surgery
Abstract

The polycystic kidney disease is a genetic disease, therefore clinical features are not referred just to the affected person, but also to the other members of the family. On the other hand, the disease causes systemic involvement and it requires the contribution of different specialists such as nephrologist, geneticist, radiologist and others. Therefore, the establishment of outpatient clinics, in which a multidisciplinary team assesses the clinical features of patients belonging to the same family, is recommended.

Published
2016

26. The role of tonsillectomy in IgA nephropathy.

Author

Feriozzi S and Polci R

Subjects
Disease Progression, Glomerulonephritis, IGA diagnosis, Glomerulonephritis, IGA immunology, Glomerulonephritis, IGA metabolism, Glycosylation, Humans, Immunoglobulin A metabolism, Kidney Glomerulus metabolism, Kidney Glomerulus pathology, Palatine Tonsil immunology, Palatine Tonsil pathology, Respiratory Tract Infections immunology, Respiratory Tract Infections surgery, Tonsillitis diagnosis, Tonsillitis immunology, Tonsillitis metabolism, Treatment Outcome, Glomerulonephritis, IGA surgery, Immunoglobulin A immunology, Kidney Glomerulus immunology, Palatine Tonsil surgery, Tonsillectomy, Tonsillitis surgery
Abstract

The IgA nephropathy (IgAN) is a very common glomerulonephritis and can result in end-stage renal disease. From a clinical point of view, IgAN is characterised by repeated events of macrohaematuria associated with infections of the upper airways. In IgAN, the IgA released by the tonsillar lymphatic tissue into blood circulation are defective in glycosylation. These aberrant IgA can reach the glomeruli and deposit into mesangium causing an inflammation with cellular proliferation. The treatment is not yet well defined: steroids and immunosuppressive drugs are suggested in cases with a progressive disease. Tonsillectomy was proposed to reduce the infective events of upper airways and the lymphatic tissue producing undergalactosylated IgA. The experiences in literature coming from Asia report positive effects of tonsillectomy on IgAN. In patients with tonsillectomy, the renal signs improved (less haematuria and proteinuria) and the renal outcome was better (slower progression of renal damage). These were uncontrolled studies and tonsillectomy was associated with steroid and immunosuppressive treatment, so it is not possible to tell the real effect of tonsillectomy. In contrast, the European studies reported that the tonsillectomy was not associated with a better outcome of IgAN. A critical review of the subject reveals that most of the papers with positive results were uncontrolled retrospective experiences, while in a randomised controlled trial paper the advantages of tonsillectomy disappeared. In conclusion, this review, in agreement with the international guidelines, concludes that tonsillectomy does not play any role in the progression of IgAN.

Published
2016
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27. Discovery of new risk loci for IgA nephropathy implicates genes involved in immunity against intestinal pathogens.

Author

Kiryluk K, Li Y, Scolari F, Sanna-Cherchi S, Choi M, Verbitsky M, Fasel D, Lata S, Prakash S, Shapiro S, Fischman C, Snyder HJ, Appel G, Izzi C, Viola BF, Dallera N, Del Vecchio L, Barlassina C, Salvi E, Bertinetto FE, Amoroso A, Savoldi S, Rocchietti M, Amore A, Peruzzi L, Coppo R, Salvadori M, Ravani P, Magistroni R, Ghiggeri GM, Caridi G, Bodria M, Lugani F, Allegri L, Delsante M, Maiorana M, Magnano A, Frasca G, Boer E, Boscutti G, Ponticelli C, Mignani R, Marcantoni C, Di Landro D, Santoro D, Pani A, Polci R, Feriozzi S, Chicca S, Galliani M, Gigante M, Gesualdo L, Zamboli P, Battaglia GG, Garozzo M, Maixnerová D, Tesar V, Eitner F, Rauen T, Floege J, Kovacs T, Nagy J, Mucha K, Pączek L, Zaniew M, Mizerska-Wasiak M, Roszkowska-Blaim M, Pawlaczyk K, Gale D, Barratt J, Thibaudin L, Berthoux F, Canaud G, Boland A, Metzger M, Panzer U, Suzuki H, Goto S, Narita I, Caliskan Y, Xie J, Hou P, Chen N, Zhang H, Wyatt RJ, Novak J, Julian BA, Feehally J, Stengel B, Cusi D, Lifton RP, and Gharavi AG

Subjects
Age of Onset, Genetic Pleiotropy genetics, Genome-Wide Association Study, Host-Pathogen Interactions genetics, Humans, Intestines immunology, Intestines parasitology, Polymorphism, Single Nucleotide genetics, CARD Signaling Adaptor Proteins genetics, CD11b Antigen genetics, Genetic Loci genetics, Glomerulonephritis, IGA genetics, HLA-D Antigens genetics, Immunity genetics, Proto-Oncogene Proteins c-vav genetics
Abstract

We performed a genome-wide association study (GWAS) of IgA nephropathy (IgAN), the most common form of glomerulonephritis, with discovery and follow-up in 20,612 individuals of European and East Asian ancestry. We identified six new genome-wide significant associations, four in ITGAM-ITGAX, VAV3 and CARD9 and two new independent signals at HLA-DQB1 and DEFA. We replicated the nine previously reported signals, including known SNPs in the HLA-DQB1 and DEFA loci. The cumulative burden of risk alleles is strongly associated with age at disease onset. Most loci are either directly associated with risk of inflammatory bowel disease (IBD) or maintenance of the intestinal epithelial barrier and response to mucosal pathogens. The geospatial distribution of risk alleles is highly suggestive of multi-locus adaptation, and genetic risk correlates strongly with variation in local pathogens, particularly helminth diversity, suggesting a possible role for host-intestinal pathogen interactions in shaping the genetic landscape of IgAN.

Published
2014
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