Association of Systemic Immune Inflammation Index and Pan-immune Inflammation Value with Prognosis in Idiopathic Membranous Nephropathy

  • Fangqian Liang Department of General Practice, North China University of Science and Technology Affiliated Hospital, Tangshan, China
  • Yuyang Yang College of Traditional Chinese Medicine, North China University of Science Technology, Tangshan, China
  • Yao Sun Department of General Practice, North China University of Science and Technology Affiliated Hospital, Tangshan, China
  • Lei Xing Department of General Practice, North China University of Science and Technology Affiliated Hospital, Tangshan, China
  • Xiaolong Yu Department of General Practice, North China University of Science and Technology Affiliated Hospital, Tangshan, China
  • Junzhi Xia Department of General Practice, North China University of Science and Technology Affiliated Hospital, Tangshan, China
  • Jingyuan Gao Department of General Practice, North China University of Science and Technology Affiliated Hospital, Tangshan, China
Keywords: Idiopathic membranous nephropathy; Pan-immune inflammation value; Prognosis; Systemic immune inflammation index

Abstract

Idiopathic membranous nephropathy (IMN) presents a heterogeneous clinical course, with approximately 30% to 40% of patients experiencing spontaneous remission, while others respond poorly to treatment. This study aims to identify reliable biomarkers for risk stratification in IMN patients.

We conducted a prospective observational study involving 187 patients with IMN from February 2022 to February 2024. Patients were categorized into remission and non-remission groups based on clinical outcomes one year post-treatment. Comparative analyses revealed that the non-remission group exhibited significantly higher incidences of hypertension, elevated 24-hour urinary protein, higher serum creatinine levels, and increased inflammatory markers, including the systemic immune inflammation index (SII), systemic inflammation response index (SIRI), and pan-immune inflammation value (PIV). Conversely, the estimated glomerular filtration rate (eGFR) and lymphocyte-to-monocyte ratio (LMR) were lower in non-remission patients.

Spearman correlation identified hypertension, 24-hour urinary protein, and inflammatory indexes as positive correlates with non-remission, while eGFR showed a negative correlation.

Multivariate logistic regression confirmed hypertension, high 24-hour urinary protein, SII, SIRI, and PIV as independent risk factors for non-remission; eGFR was a protective factor. Receiver operating characteristic analysis revealed that SII and PIV effectively predicted non-remission (AUC=0.743 and 0.759, respectively). These findings underscore the potential of these indicators in assessing disease severity and guiding personalized treatment strategies.

Published
2026-01-27
Section
Articles