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CLINICOPATHOLOGICAL CORRELATION IN CHRONIC KIDNEY DISEASE: A MULTIDISCIPLINARY REVIEW

Aug 2026 · Genetics and Molecular Research · 0 citations · 35 references

TL;DR

Emerging biomarkers, advanced imaging approaches, and risk prediction models are discussed as tools that may enhance stratification and support personalized management, while ongoing challenges include disease heterogeneity, methodological limitations, and delayed recognition of progressive injury.

Abstract

Chronic kidney disease (CKD) is a heterogeneous, progressive condition where the measurement of functional aspects and clinical phenotypes might not be sufficient in evaluating the underlying structural damage. This review synthesizes evidence on clinicopathological correlation in CKD and evaluates how integrating histopathology with clinical assessment, laboratory markers, and imaging improves diagnostic precision and prognostic assessment. Key clinicopathological relationships are highlighted, including how proteinuria and active urinary sediment often signal glomerular injury, whereas declining renal function frequently aligns with the burden of tubulointerstitial fibrosis and vascular disease. The review also examines how pathological severity generally increases with advancing CKD stage, limiting reversibility and narrowing therapeutic windows. Importantly, discordance between presumed clinical diagnoses and biopsy findings is common in systemic and comorbidity-driven CKD, underscoring the value of tissue-based evaluation in selected cases. A multidisciplinary framework involving nephrology, pathology, radiology, and laboratory medicine is emphasized as essential for integrated interpretation and individualized care. Emerging biomarkers, advanced imaging approaches, and risk prediction models are discussed as tools that may enhance stratification and support personalized management, while ongoing challenges include disease heterogeneity, methodological limitations, and delayed recognition of progressive injury. Clinicopathological integration provides a robust pathway toward more accurate classification, targeted intervention, and improved outcomes in CKD.

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