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Pregled bibliografske jedinice broj: 1197240

Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy


(International IgA Nephropathy Network) Barbour, Sean J.; Coppo, Rosanna; Zhang, Hong; Liu, Zhi-Hong; Suzuki, Yusuke; Matsuzaki, Keiichi; Er, Lee; Reich, Heather N.; Barratt, Jonathan; Cattran, Daniel C.;
Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy // Kidney international, 102 (2022), 1; 160-172 doi:10.1016/j.kint.2022.02.042 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1197240 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy

Autori
Barbour, Sean J. ; Coppo, Rosanna ; Zhang, Hong ; Liu, Zhi-Hong ; Suzuki, Yusuke ; Matsuzaki, Keiichi ; Er, Lee ; Reich, Heather N. ; Barratt, Jonathan ; Cattran, Daniel C. ;

Kolaboracija
International IgA Nephropathy Network

Izvornik
Kidney international (0085-2538) 102 (2022), 1; 160-172

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
IgA nephropathy ; disease progression ; end-stage kidney disease ; prediction tool ; risk prediction.

Sažetak
The International IgA Nephropathy (IgAN) Prediction Tool is the preferred method in the 2021 KDIGO guidelines to predict, at the time of kidney biopsy, the risk of a 50% drop in estimated glomerular filtration rate or kidney failure. However, it is not known if the Prediction Tool can be accurately applied after a period of observation post-biopsy. Using an international multi-ethnic derivation cohort of 2, 507 adults with IgAN, we updated the Prediction Tool for use one year after biopsy, and externally validated this in a cohort of 722 adults. The original Prediction Tool applied at one-year without modification had a coefficient of variation (R2) of 55% and 54% and four-year concordance (C statistic) of 0.82 but poor calibration with under-prediction of risk (integrated calibration index (ICI) 1.54 and 2.11, with and without race, respectively). Our updated Prediction Tool had a better model fit with higher R2 (61% and 60%), significant increase in four-year C-statistic (0.87 and 0.86) and better four-year calibration with lower ICI (0.75 and 0.35). On external validation, the updated Prediction Tool had similar R2 (60% and 58%) and four-year C- statistics (both 0.85) compared to the derivation analysis, with excellent four-year calibration (ICI 0.62 and 0.56). This updated Prediction Tool had similar prediction performance when used two years after biopsy. Thus, the original Prediction Tool should be used only at the time of biopsy whereas our updated Prediction Tool can be used for risk stratification one or two years post- biopsy.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti



POVEZANOST RADA


Ustanove:
Medicinski fakultet, Zagreb,
Klinička bolnica "Dubrava"

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

(International IgA Nephropathy Network) Barbour, Sean J.; Coppo, Rosanna; Zhang, Hong; Liu, Zhi-Hong; Suzuki, Yusuke; Matsuzaki, Keiichi; Er, Lee; Reich, Heather N.; Barratt, Jonathan; Cattran, Daniel C.;
Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy // Kidney international, 102 (2022), 1; 160-172 doi:10.1016/j.kint.2022.02.042 (međunarodna recenzija, članak, znanstveni)
(International IgA Nephropathy Network) (International IgA Nephropathy Network) Barbour, S., Coppo, R., Zhang, H., Liu, Z., Suzuki, Y., Matsuzaki, K., Er, L., Reich, H., Barratt, J., Cattran, D. & (2022) Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy. Kidney international, 102 (1), 160-172 doi:10.1016/j.kint.2022.02.042.
@article{article, author = {Barbour, Sean J. and Coppo, Rosanna and Zhang, Hong and Liu, Zhi-Hong and Suzuki, Yusuke and Matsuzaki, Keiichi and Er, Lee and Reich, Heather N. and Barratt, Jonathan and Cattran, Daniel C.}, year = {2022}, pages = {160-172}, DOI = {10.1016/j.kint.2022.02.042}, keywords = {IgA nephropathy, disease progression, end-stage kidney disease, prediction tool, risk prediction.}, journal = {Kidney international}, doi = {10.1016/j.kint.2022.02.042}, volume = {102}, number = {1}, issn = {0085-2538}, title = {Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy}, keyword = {IgA nephropathy, disease progression, end-stage kidney disease, prediction tool, risk prediction.} }
@article{article, author = {Barbour, Sean J. and Coppo, Rosanna and Zhang, Hong and Liu, Zhi-Hong and Suzuki, Yusuke and Matsuzaki, Keiichi and Er, Lee and Reich, Heather N. and Barratt, Jonathan and Cattran, Daniel C.}, year = {2022}, pages = {160-172}, DOI = {10.1016/j.kint.2022.02.042}, keywords = {IgA nephropathy, disease progression, end-stage kidney disease, prediction tool, risk prediction.}, journal = {Kidney international}, doi = {10.1016/j.kint.2022.02.042}, volume = {102}, number = {1}, issn = {0085-2538}, title = {Application of the International IgA Nephropathy Prediction Tool one or two years post-biopsy}, keyword = {IgA nephropathy, disease progression, end-stage kidney disease, prediction tool, risk prediction.} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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