Cargando…
Clinical parameters predicting complications in native kidney biopsies
BACKGROUND: Renal biopsies are essential in nephrology but they are invasive and complications can occur. The aim of this study was to explore clinical parameters that can be used as predictors for biopsy complications. METHODS: Clinical parameters such as demographics, biopsy indications, serology,...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467621/ https://www.ncbi.nlm.nih.gov/pubmed/32905412 http://dx.doi.org/10.1093/ckj/sfz132 |
_version_ | 1783578052670783488 |
---|---|
author | Peters, Björn Nasic, Salmir Segelmark, Mårten |
author_facet | Peters, Björn Nasic, Salmir Segelmark, Mårten |
author_sort | Peters, Björn |
collection | PubMed |
description | BACKGROUND: Renal biopsies are essential in nephrology but they are invasive and complications can occur. The aim of this study was to explore clinical parameters that can be used as predictors for biopsy complications. METHODS: Clinical parameters such as demographics, biopsy indications, serology, comorbidities and clinical chemistry were retrieved from a regional biopsy registry between 2006 and 2015 and from a nationwide registry between 2015 and 2017. Clinical data before biopsy were compared with data on major biopsy complications. Fisher’s exact and χ(2) tests were used and odds ratios (ORs) with 95% confidence intervals (CIs) were presented. Univariate and multiple binary logistic regression analyses were performed with complications as outcome. A two-sided P-value <0.05 was considered significant. RESULTS: In total, 2835 consecutive native kidney biopsies were analysed (39% women and 61% men, median age 57 years). No death and nephrectomy due to biopsy complications were registered. The frequency of major biopsy complications was 5.65%. In the multiple logistic regression, the risk for complications increased in women [OR 1.51 (95% CI 1.08–2.11)] and decreased with age: 45–64 years age group [OR 0.66 (95% CI 0.44–0.99)] and >74 years age group [OR 0.51 (95% CI 0.27–0.96)]. Among comorbidities, patients with diabetes mellitus type 2 [OR 2.07 (95% CI 1.15–3.72)] and non-ischaemic heart disease [OR 3.20 (95% CI 1.64–6.25)] had a higher risk for major biopsy complications. CONCLUSIONS: Female gender, younger age (≤44 years), diabetes mellitus type 2 and non-ischaemic heart disease were found as risk factors for major biopsy complications. |
format | Online Article Text |
id | pubmed-7467621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74676212020-09-03 Clinical parameters predicting complications in native kidney biopsies Peters, Björn Nasic, Salmir Segelmark, Mårten Clin Kidney J Original Articles BACKGROUND: Renal biopsies are essential in nephrology but they are invasive and complications can occur. The aim of this study was to explore clinical parameters that can be used as predictors for biopsy complications. METHODS: Clinical parameters such as demographics, biopsy indications, serology, comorbidities and clinical chemistry were retrieved from a regional biopsy registry between 2006 and 2015 and from a nationwide registry between 2015 and 2017. Clinical data before biopsy were compared with data on major biopsy complications. Fisher’s exact and χ(2) tests were used and odds ratios (ORs) with 95% confidence intervals (CIs) were presented. Univariate and multiple binary logistic regression analyses were performed with complications as outcome. A two-sided P-value <0.05 was considered significant. RESULTS: In total, 2835 consecutive native kidney biopsies were analysed (39% women and 61% men, median age 57 years). No death and nephrectomy due to biopsy complications were registered. The frequency of major biopsy complications was 5.65%. In the multiple logistic regression, the risk for complications increased in women [OR 1.51 (95% CI 1.08–2.11)] and decreased with age: 45–64 years age group [OR 0.66 (95% CI 0.44–0.99)] and >74 years age group [OR 0.51 (95% CI 0.27–0.96)]. Among comorbidities, patients with diabetes mellitus type 2 [OR 2.07 (95% CI 1.15–3.72)] and non-ischaemic heart disease [OR 3.20 (95% CI 1.64–6.25)] had a higher risk for major biopsy complications. CONCLUSIONS: Female gender, younger age (≤44 years), diabetes mellitus type 2 and non-ischaemic heart disease were found as risk factors for major biopsy complications. Oxford University Press 2019-10-19 /pmc/articles/PMC7467621/ /pubmed/32905412 http://dx.doi.org/10.1093/ckj/sfz132 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Peters, Björn Nasic, Salmir Segelmark, Mårten Clinical parameters predicting complications in native kidney biopsies |
title | Clinical parameters predicting complications in native kidney biopsies |
title_full | Clinical parameters predicting complications in native kidney biopsies |
title_fullStr | Clinical parameters predicting complications in native kidney biopsies |
title_full_unstemmed | Clinical parameters predicting complications in native kidney biopsies |
title_short | Clinical parameters predicting complications in native kidney biopsies |
title_sort | clinical parameters predicting complications in native kidney biopsies |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467621/ https://www.ncbi.nlm.nih.gov/pubmed/32905412 http://dx.doi.org/10.1093/ckj/sfz132 |
work_keys_str_mv | AT petersbjorn clinicalparameterspredictingcomplicationsinnativekidneybiopsies AT nasicsalmir clinicalparameterspredictingcomplicationsinnativekidneybiopsies AT segelmarkmarten clinicalparameterspredictingcomplicationsinnativekidneybiopsies |