ArticlePloS one2022
An exploration of under-registration of chronic kidney disease stages 3-5 in Belgian general practices using logistic regression.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- From quality indicator to quality measurement: design and implementation of an automated audit and feedback tool for chronic kidney disease in Belgian primary care.BMJ health & care informatics · 2026Article
- Development and early implementation of automated audit and feedback monitoring instruments in Belgian primary care: lessons for scalable systems.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026Article
- Article
- High prevalence of unrecognized chronic kidney disease in the Lolland-Falster Health Study: a population-based study in a rural provincial area of Denmark.European journal of public health · 2025Article
- Finerenone: Potential Clinical Application Across the Spectrum of Cardiovascular Disease and Chronic Kidney Disease.Journal of clinical medicine · 2025Review
- Article
- Prevalence of undetected chronic kidney disease in high-risk middle-aged patients in primary care: a cross-sectional study.Frontiers in medicine · 2024Article
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Abstract
backgroundEarly detection and treatment of chronic kidney disease (CKD) can prevent further deterioration and complications. Previous studies suggested that the diagnosis is often made when advanced renal failure occurs. The aims of this study were to describe the prevalence of unregistered CKD stages 3-5 in a Belgian General Practitioner population, to determine risk factors for under-registration and to investigate the diagnostic delay.
methodsThe analyses were carried out in the INTEGO database, a Flanders general practice-based morbidity registration network. The study used INTEGO data from the year 2018 for all patients ≥18 years old. CKD was defined as two consecutive eGFR laboratory measurements (eGFR <60 mL/min/1.73m2) at least three months apart during the baseline period. Registered CKD was characterised by a documented diagnosis of CKD (ICPC2 U99) during the ≥12-month lookback period before the first eGFR measurement and up to six months after the second eGFR in the EHR. The prevalence of unregistered CKD and the median time of diagnostic delay were estimated. Baseline characteristics were described. A multivariate cross-sectional logistic regression analysis was conducted to identify determinants of unregistered CKD. We estimated the odds ratios and their 95% confidence interval.
resultsAmong included patients, there were 10 551 patients (5.5%) meeting the criteria of CKD. The prevalence of unregistered CKD was 68%. The mean diagnostic delay was 1.94 years (Standard deviation 0.93). Being a male, a concurrent diagnosis of diabetes, stroke, heart failure and hypertension, and more severe CKD (stages 3b, 4 and 5) independently increased the chance on registered CKD.
conclusionThe proportion of patients who had no registered CKD code in the EHR was substantial. The differences between registered and unregistered patients make thinking about solutions to facilitate registration in the EHR imperative.
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