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Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study.

McGovern, AP, Jones, S, van Vlymen, J, Saggar, AK, Sandford, R and de Lusignan, S (2014) Identification of people with autosomal dominant polycystic kidney disease using routine data: a cross sectional study. BMC Nephrology, 15.

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Abstract

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.

Item Type: Article
Divisions : Faculty of Health and Medical Sciences > School of Biosciences and Medicine > Department of Clinical and Experimental Medicine
Authors :
AuthorsEmailORCID
McGovern, APUNSPECIFIEDUNSPECIFIED
Jones, SUNSPECIFIEDUNSPECIFIED
van Vlymen, JUNSPECIFIEDUNSPECIFIED
Saggar, AKUNSPECIFIEDUNSPECIFIED
Sandford, RUNSPECIFIEDUNSPECIFIED
de Lusignan, SUNSPECIFIEDUNSPECIFIED
Date : 20 November 2014
Identification Number : 10.1186/1471-2369-15-182
Uncontrolled Keywords : Adolescent, Adult, Age Factors, Antihypertensive Agents, Biomarkers, Cross-Sectional Studies, Drug Therapy, Combination, Early Diagnosis, England, Female, Hematuria, Humans, Hypertension, Renal, Kidney Function Tests, Logistic Models, Male, Mass Screening, Middle Aged, Polycystic Kidney, Autosomal Dominant, Predictive Value of Tests, Primary Health Care, Proteinuria, Renal Insufficiency, Chronic, Risk Assessment, Risk Factors, Sensitivity and Specificity, Young Adult
Related URLs :
Additional Information : © 2014 McGovern et al.; licensee 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.
Depositing User : Symplectic Elements
Date Deposited : 06 Jan 2016 15:41
Last Modified : 06 Jan 2016 15:41
URI: http://epubs.surrey.ac.uk/id/eprint/809696

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