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Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study
BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) causes progressive renal damage and is a leading cause of end-stage renal failure. With emerging therapies it is important to devise a method for early detection. We aimed to identify factors from routine clinical data which can be use...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258046/ https://www.ncbi.nlm.nih.gov/pubmed/25412767 http://dx.doi.org/10.1186/1471-2369-15-182 |
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author | McGovern, Andrew P Jones, Simon van Vlymen, Jeremy Saggar, Anand K Sandford, Richard de Lusignan, Simon |
author_facet | McGovern, Andrew P Jones, Simon van Vlymen, Jeremy Saggar, Anand K Sandford, Richard de Lusignan, Simon |
author_sort | McGovern, Andrew P |
collection | PubMed |
description | BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) causes progressive renal damage and is a leading cause of end-stage renal failure. With emerging therapies it is important to devise a method for early detection. We aimed to identify factors from routine clinical data which can be used to distinguish people with a high likelihood of having ADPKD in a primary health care setting. METHOD: A cross-sectional study was undertaken using data from the Quality Intervention in Chronic Kidney Disease trial extracted from 127 primary care practices in England. The health records of 255 people with ADPKD were compared to the general population. Logistic regression was used to identify clinical features which distinguish ADPKD. These clinical features were used to stratify individual risk using a risk score tool. RESULTS: Renal impairment, proteinuria, haematuria, a diastolic blood pressure over 90 mmHg and multiple antihypertensive medications were more common in ADPKD than the general population and were used to build a regression model (area under the receiver operating characteristic curve; 0.79). Age, gender, haemoglobin and urinary tract infections were not associated with ADPKD. A risk score (range −3 to +10) of ≥0 gave a sensitivity of 70.2% and specificity 74.9% of for detection. CONCLUSIONS: Stratification of ADPKD likelihood from routine data may be possible. This approach could be a valuable component of future screening programs although further longitudinal analyses are needed. |
format | Online Article Text |
id | pubmed-4258046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42580462014-12-07 Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study McGovern, Andrew P Jones, Simon van Vlymen, Jeremy Saggar, Anand K Sandford, Richard de Lusignan, Simon BMC Nephrol Research Article BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) causes progressive renal damage and is a leading cause of end-stage renal failure. With emerging therapies it is important to devise a method for early detection. We aimed to identify factors from routine clinical data which can be used to distinguish people with a high likelihood of having ADPKD in a primary health care setting. METHOD: A cross-sectional study was undertaken using data from the Quality Intervention in Chronic Kidney Disease trial extracted from 127 primary care practices in England. The health records of 255 people with ADPKD were compared to the general population. Logistic regression was used to identify clinical features which distinguish ADPKD. These clinical features were used to stratify individual risk using a risk score tool. RESULTS: Renal impairment, proteinuria, haematuria, a diastolic blood pressure over 90 mmHg and multiple antihypertensive medications were more common in ADPKD than the general population and were used to build a regression model (area under the receiver operating characteristic curve; 0.79). Age, gender, haemoglobin and urinary tract infections were not associated with ADPKD. A risk score (range −3 to +10) of ≥0 gave a sensitivity of 70.2% and specificity 74.9% of for detection. CONCLUSIONS: Stratification of ADPKD likelihood from routine data may be possible. This approach could be a valuable component of future screening programs although further longitudinal analyses are needed. BioMed Central 2014-11-20 /pmc/articles/PMC4258046/ /pubmed/25412767 http://dx.doi.org/10.1186/1471-2369-15-182 Text en © McGovern et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article McGovern, Andrew P Jones, Simon van Vlymen, Jeremy Saggar, Anand K Sandford, Richard de Lusignan, Simon Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study |
title | Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study |
title_full | Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study |
title_fullStr | Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study |
title_full_unstemmed | Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study |
title_short | Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study |
title_sort | identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258046/ https://www.ncbi.nlm.nih.gov/pubmed/25412767 http://dx.doi.org/10.1186/1471-2369-15-182 |
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