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Kidney Disease Patterns diagnosed by Kidney Biopsy: A Single-center Experience from Central India
Artículo | IMSEAR | ID: sea-216271
ABSTRACT
The incidence of kidney disease patterns diagnosed by kidney biopsy depends on age, gender, race, socioeconomic, nutritional, and environmental factors. The present study was performed at a tertiary care teaching hospital in central India to show the current frequency of different types of kidney diseases through histopathological findings. Materials and

methods:

We carried out a retrospective analysis of kidney biopsies done in our institute between January 2016 and June 2021, and clinical and histopathological correlation was done from the available medical records.

Results:

Of the 411 kidney biopsies evaluated, 56.7% were females and the mean age of patients was 31.65 years. The elderly population (age ?60 years) constituted 5% of patients. The most common indication for kidney biopsy was nephrotic syndrome (NS) (49.9%). On analysis of histological patterns, 59.3% of patients had primary glomerular disease (PGD), 28% had secondary glomerular disease (SGD), 5.2% had tubulointerstitial disease (TID), and 6.7% had vascular disease. In our study, focal segmental glomerulosclerosis (FSGS) was the most common PGD (28.9% of all PGD) followed by membranous nephropathy (MN) (19.7%), minimal change disease (MCD) (16.5%), and IgA nephropathy (IgAN) (15.4%). The most common SGD was lupus nephritis (LN) (23%) followed by diabetic nephropathy (DN) (1.99%). In patients aged ?18 years, MCD was the most common PGD (26.5%) and FSGS was the most common PGD (30%) in patients aged between 19 and 59 years. In the elderly population (age ?60 years), MN was the most common (38%) PGD.

Conclusion:

This is the largest study of kidney biopsies patterns from the central part of India, and it presents the combined analysis of the clinical, histopathological, and immunofluorescent features of biopsy-proven kidney diseases in our population.
Texto completo: Disponible Índice: IMSEAR (Asia Sudoriental) Año: 2022 Tipo del documento: Artículo

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Texto completo: Disponible Índice: IMSEAR (Asia Sudoriental) Año: 2022 Tipo del documento: Artículo