Study of clinical and histopathological factors predicting rapid progression in biopsy-proven type 2 diabetic kidney disease

Introduction: Rapid progression of diabetic kidney disease (DKD) is a significant concern, particularly in developing countries. It remains uncertain whether histopathological parameters, in addition to clinical factors, can predict DKD progression. Objectives: To evaluate renal histopathological and clinical parameters in predicting rapid progression to end-stage kidney disease (ESKD) in type 2 diabetes mellitus (Type 2 DM) patients with biopsy-proven DKD. Patients and Methods: This was an observational retrospective study that included 49 biopsy-proven DKD from January 2018 to December 2022. Those with less than six months of follow-up and CKD stage 5 were excluded. The outcomes studied were rapid progression and progression to ESKD. Patients were categorized into rapid progressors and non-progressors based on the estimated glomerular filtration (eGFR) decline of > or <10 mL/min/1.73 m2 /year, respectively. The association of histopathological factors and clinical parameters with rapid progression and independent risk factors for progression to ESKD were analysed using SPSS 22. Results: In a median follow-up of 1.6 years, 57% were rapid progressors, and 42.9% were non-progressors, with a median eGFR decline of 21 mL/min/1.73 m2 /year and 5 mL/min/1.73 m2 /year, respectively. Among histopathological factors, global glomerular sclerosis (class 4) predicted rapid progression (P= 0.03), since among clinical factors, hypertension (89.3%) elevated hemoglobin A1c (HbA1c) (9.6%), and massive proteinuria (75.1%) were significant parameters associated with rapid progression (P<0.05). In Cox regression analysis, the progression to ESKD was independently associated with global glomerular sclerosis (HR 1.1, CI 1.0-1.4, P=0.04) and massive proteinuria (HR 1.6, CI 1.0-2.1, P=0.01) Conclusion: In our cohort, hypertension, high HbA1c, severe proteinuria, and global glomerular sclerosis (Class 4) were associated with rapid progression. Severe proteinuria and global glomerular sclerosis were independent risk factors for progression to ESKD. This highlights the need for large prospective studies in identifying the factors predicting rapid progressors in DKD; therefore, timely intervention can be considered.

Authors

Institutions

Publication Details

Journal
Journal of Nephropathology
Published
2024-08-10
DOI
https://doi.org/10.34172/jnp.2023.21516
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study of clinical and histopathological factors predicting rapid progression in biopsy-proven type 2 diabetic kidney disease

Ravindra Prabhu, Srinivas Vinayak Shenoy, Dharshan Rangaswamy, Mohan V Bhojaraja et al.
Journal of Nephropathology
Chronic Kidney Disease and Diabetes
article

Study of clinical and histopathological factors predicting rapid progression in biopsy-proven type 2 diabetic kidney disease

Ravindra Prabhu, Srinivas Vinayak Shenoy, Dharshan Rangaswamy, Mohan V Bhojaraja, Shilna Muttickal Swaminathan, Indu Ramachandra Rao, Shankar Prasad Nagaraju
article en

Abstract

Introduction: Rapid progression of diabetic kidney disease (DKD) is a significant concern, particularly in developing countries. It remains uncertain whether histopathological parameters, in addition to clinical factors, can predict DKD progression. Objectives: To evaluate renal histopathological and clinical parameters in predicting rapid progression to end-stage kidney disease (ESKD) in type 2 diabetes mellitus (Type 2 DM) patients with biopsy-proven DKD. Patients and Methods: This was an observational retrospective study that included 49 biopsy-proven DKD from January 2018 to December 2022. Those with less than six months of follow-up and CKD stage 5 were excluded. The outcomes studied were rapid progression and progression to ESKD. Patients were categorized into rapid progressors and non-progressors based on the estimated glomerular filtration (eGFR) decline of > or <10 mL/min/1.73 m2 /year, respectively. The association of histopathological factors and clinical parameters with rapid progression and independent risk factors for progression to ESKD were analysed using SPSS 22. Results: In a median follow-up of 1.6 years, 57% were rapid progressors, and 42.9% were non-progressors, with a median eGFR decline of 21 mL/min/1.73 m2 /year and 5 mL/min/1.73 m2 /year, respectively. Among histopathological factors, global glomerular sclerosis (class 4) predicted rapid progression (P= 0.03), since among clinical factors, hypertension (89.3%) elevated hemoglobin A1c (HbA1c) (9.6%), and massive proteinuria (75.1%) were significant parameters associated with rapid progression (P<0.05). In Cox regression analysis, the progression to ESKD was independently associated with global glomerular sclerosis (HR 1.1, CI 1.0-1.4, P=0.04) and massive proteinuria (HR 1.6, CI 1.0-2.1, P=0.01) Conclusion: In our cohort, hypertension, high HbA1c, severe proteinuria, and global glomerular sclerosis (Class 4) were associated with rapid progression. Severe proteinuria and global glomerular sclerosis were independent risk factors for progression to ESKD. This highlights the need for large prospective studies in identifying the factors predicting rapid progressors in DKD; therefore, timely intervention can be considered.

Journal of NephropathologyVol. 13(4)
Manipal Academy of Higher Education (IN), Kasturba Medical College, Manipal (IN)
Partnerships for the goals
Openalex Percentile: Top 80%
Chronic Kidney Disease and Diabetes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.