Observational studyCardiovascular diabetology2020
Chronic kidney disease and undiagnosed atrial fibrillation in individuals with diabetes.
Observational study in Cardiovascular diabetology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The trial behind it
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Predicting atrial fibrillation and flutter using BEHRT and identifying multimorbidity patterns using BERTopic.Frontiers in digital health · 2026Article
- Mechanisms underlying atrial fibrillation in chronic kidney disease.Journal of molecular and cellular cardiology · 2025Review
- Wearable Technologies for Health Promotion and Disease Prevention in Older Adults: Systematic Scoping Review and Evidence Map.Journal of medical Internet research · 2025Article
- National adult mortality trends due to chronic kidney disease-related atrial fibrillation in the United States from year 2011-2020.World journal of cardiology · 2025Article
- Wearable Devices for Arrhythmia Detection: Advancements and Clinical Implications.Sensors (Basel, Switzerland) · 2025Review
- Analyzing the Effectiveness of mHealth to Manage Diabetes Mellitus Among Adults Over 50: A Systematic Literature Review.Journal of multidisciplinary healthcare · 2023Review
- Chronic Kidney Disease and Heart Failure-Everyday Diagnostic Challenges.Diagnostics (Basel, Switzerland) · 2021Review
- Article
- Cumulative burden of metabolic syndrome and its components on the risk of atrial fibrillation: a nationwide population-based study.Cardiovascular diabetology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetes is an independent risk factor for atrial fibrillation (AF), which is associated with increases in mortality and morbidity, as well as a diminished quality of life. Renal involvement in diabetes is common, and since chronic kidney disease (CKD) shares several of the same putative mechanisms as AF, it may contribute to its increased risk in individuals with diabetes. The objective of this study is to identify the relationship between CKD and the rates of newly-diagnosed AF in individuals with diabetes taking part in a screening program using a self-applied wearable electrocardiogram (ECG) patch. MATERIALS AND
methodsThe study included 608 individuals with a diagnosis of diabetes among 1738 total actively monitored participants in the prospective mHealth Screening to Prevent Strokes (mSToPS) trial. Participants, without a prior diagnosis of AF, wore an ECG patch for 2 weeks, twice, over a 4-months period and followed clinically through claims data for 1 year. Definitions of CKD included ICD-9 or ICD-10 chronic renal failure diagnostic codes, and the Health Profile Database algorithm. Individuals requiring dialysis were excluded from trial enrollment.
resultsNinety-six (15.8%) of study participants with diabetes also had a diagnosis of CKD. Over 12 months of follow-up, 19 new cases of AF were detected among the 608 participants. AF was newly diagnosed in 7.3% of participants with CKD and 2.3% in those without (P < 0.05) over 12 months of follow-up. In a univariate Cox proportional hazard regression analysis, the risk of incident AF was 3 times higher in individuals with CKD relative to those without CKD: hazard ratios (HR) 3.106 (95% CI 1.2-7.9). After adjusting for the effect of age, sex, and hypertension, the risk of incident AF was still significantly higher in those with CKD: HR 2.886 (95% CI 1.1-7.5).
conclusionAmong individuals with diabetes, CKD significantly increases the risk of incident AF. Identification of AF prior to clinical symptoms through active ECG screening could help to improve the clinical outcomes in individuals with CKD and diabetes.
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