Potential of SIRI and artificial intelligence in IgAN: bridging biomarkers and patient-centered care
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11255-024-04190-7.pdf
Reference6 articles.
1. Lee M, Suzuki H, Nihei Y et al (2023) Ethnicity and IgA nephropathy: worldwide differences in epidemiology, timing of diagnosis, clinical manifestations, management and prognosis. Clin Kidney J 16:ii1–ii8. https://doi.org/10.1093/ckj/sfad199
2. Zaidi O, Du F, Tang Z et al (2024) Review on epidemiology, disease burden, and treatment patterns of IgA nephropathy in select APAC countries. BMC Nephrol 25:136. https://doi.org/10.1186/s12882-024-03555-5
3. Yang D, Zhou H, Qin W (2024) High systemic inflammatory response index (SIRI) is an independent risk factor for poor outcome in IgA nephropathy patients. Int Urol Nephrol. https://doi.org/10.1007/s11255-024-04171-w
4. Gaumond L, Lamarche C, Beauchemin S et al (2024) Identification of inflammatory biomarkers in IgA nephropathy using the NanoString technology: a validation study in Caucasians. Inflamm Res 73:447–457. https://doi.org/10.1007/s00011-023-01848-3
5. Yoon S-Y, Kim JS, Jung SW et al (2024) Clinical significance of urinary inflammatory biomarkers in patients with IgA nephropathy. BMC Nephrol 25:142. https://doi.org/10.1186/s12882-024-03574-2
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