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Distribution of kidney diseases in Joinville, Santa Catarina: analysis of a kidney biopsy data bank between 2008 and 2019

INTRODUCTION: Studies based on kidney biopsies are important for the epidemiological understanding of nephropathies. OBJECTIVE: To describe the main nephropathies diagnosed through renal biopsies, and compare them with regards to gender, time, healthcare insurance and age. METHODS: A population-base...

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Autores principales: Lima, Helbert do Nascimento, Deboni, Luciane Monica, Calice-Silva, Viviane, Schlickmann, Giana, Pereira, Monique Jaqueline, Pope, Leonora Zozula Blind, de Oliveira, Rodrigo Paludo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Nefrologia 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518631/
https://www.ncbi.nlm.nih.gov/pubmed/35080235
http://dx.doi.org/10.1590/2175-8239-JBN-2021-0165
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author Lima, Helbert do Nascimento
Deboni, Luciane Monica
Calice-Silva, Viviane
Schlickmann, Giana
Pereira, Monique Jaqueline
Pope, Leonora Zozula Blind
de Oliveira, Rodrigo Paludo
author_facet Lima, Helbert do Nascimento
Deboni, Luciane Monica
Calice-Silva, Viviane
Schlickmann, Giana
Pereira, Monique Jaqueline
Pope, Leonora Zozula Blind
de Oliveira, Rodrigo Paludo
author_sort Lima, Helbert do Nascimento
collection PubMed
description INTRODUCTION: Studies based on kidney biopsies are important for the epidemiological understanding of nephropathies. OBJECTIVE: To describe the main nephropathies diagnosed through renal biopsies, and compare them with regards to gender, time, healthcare insurance and age. METHODS: A population-based retrospective study that reviewed all kidney disease diagnoses obtained by biopsy of a native kidney from pathology services between 2008 and 2019 in Joinville, Brazil. RESULTS: Of 778 biopsies performed, 44.5% were primary nephropathies and 28.5% were secondary. The highest prevalence was focal segmental glomerulosclerosis (FSGS) [18.1%], followed by tubulointerstitial nephropathy (TIN) [15.9%] and IgA nephropathy (IgAN) [9.1%]. There was a growing increase in the prevalence of TIN among elderly and uninsured patients over the period. In the multivariate analysis, among the primary glomerulopathies, males had a higher risk for the occurrence of IgAN [OR=2.02; 95% CI 1.13-3.61; p=0.018], as well as being a protective factor for the occurrence of lupus glomerulonephritis (LGN) [OR=0.20, 95% CI 0.08-0.49; p<0.001]. Advancing age and dependence on a public healthcare decreased the likelihood of having a diagnosis of LGN [OR=0.91, 95% CI 0.88-0.94, p < 0.001 and OR=0.45, CI 95 % 0.21-0.96; p = 0.036, respectively]. Patients without private healthcare insurance were more likely to have TIN [OR=1.77, 95%CI 1.16-2.70; p = 0.008]. CONCLUSION: Sex, age and type of medical healthcare insurance may be related to the occurrence of some nephropathies. The increased risk of TIN in individuals without a private healthcare plan may be an indication of inequalities in health care.
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spelling pubmed-95186312022-10-13 Distribution of kidney diseases in Joinville, Santa Catarina: analysis of a kidney biopsy data bank between 2008 and 2019 Lima, Helbert do Nascimento Deboni, Luciane Monica Calice-Silva, Viviane Schlickmann, Giana Pereira, Monique Jaqueline Pope, Leonora Zozula Blind de Oliveira, Rodrigo Paludo J Bras Nefrol Original Article INTRODUCTION: Studies based on kidney biopsies are important for the epidemiological understanding of nephropathies. OBJECTIVE: To describe the main nephropathies diagnosed through renal biopsies, and compare them with regards to gender, time, healthcare insurance and age. METHODS: A population-based retrospective study that reviewed all kidney disease diagnoses obtained by biopsy of a native kidney from pathology services between 2008 and 2019 in Joinville, Brazil. RESULTS: Of 778 biopsies performed, 44.5% were primary nephropathies and 28.5% were secondary. The highest prevalence was focal segmental glomerulosclerosis (FSGS) [18.1%], followed by tubulointerstitial nephropathy (TIN) [15.9%] and IgA nephropathy (IgAN) [9.1%]. There was a growing increase in the prevalence of TIN among elderly and uninsured patients over the period. In the multivariate analysis, among the primary glomerulopathies, males had a higher risk for the occurrence of IgAN [OR=2.02; 95% CI 1.13-3.61; p=0.018], as well as being a protective factor for the occurrence of lupus glomerulonephritis (LGN) [OR=0.20, 95% CI 0.08-0.49; p<0.001]. Advancing age and dependence on a public healthcare decreased the likelihood of having a diagnosis of LGN [OR=0.91, 95% CI 0.88-0.94, p < 0.001 and OR=0.45, CI 95 % 0.21-0.96; p = 0.036, respectively]. Patients without private healthcare insurance were more likely to have TIN [OR=1.77, 95%CI 1.16-2.70; p = 0.008]. CONCLUSION: Sex, age and type of medical healthcare insurance may be related to the occurrence of some nephropathies. The increased risk of TIN in individuals without a private healthcare plan may be an indication of inequalities in health care. Sociedade Brasileira de Nefrologia 2022-01-24 2022 /pmc/articles/PMC9518631/ /pubmed/35080235 http://dx.doi.org/10.1590/2175-8239-JBN-2021-0165 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lima, Helbert do Nascimento
Deboni, Luciane Monica
Calice-Silva, Viviane
Schlickmann, Giana
Pereira, Monique Jaqueline
Pope, Leonora Zozula Blind
de Oliveira, Rodrigo Paludo
Distribution of kidney diseases in Joinville, Santa Catarina: analysis of a kidney biopsy data bank between 2008 and 2019
title Distribution of kidney diseases in Joinville, Santa Catarina: analysis of a kidney biopsy data bank between 2008 and 2019
title_full Distribution of kidney diseases in Joinville, Santa Catarina: analysis of a kidney biopsy data bank between 2008 and 2019
title_fullStr Distribution of kidney diseases in Joinville, Santa Catarina: analysis of a kidney biopsy data bank between 2008 and 2019
title_full_unstemmed Distribution of kidney diseases in Joinville, Santa Catarina: analysis of a kidney biopsy data bank between 2008 and 2019
title_short Distribution of kidney diseases in Joinville, Santa Catarina: analysis of a kidney biopsy data bank between 2008 and 2019
title_sort distribution of kidney diseases in joinville, santa catarina: analysis of a kidney biopsy data bank between 2008 and 2019
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518631/
https://www.ncbi.nlm.nih.gov/pubmed/35080235
http://dx.doi.org/10.1590/2175-8239-JBN-2021-0165
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