Prevalent left ventricular hypertrophy in the predialysis population: identifying opportunities for intervention
Abstract
Left ventricular hypertrophy (LVH) is present in over 70% of patients commencing dialysis. It is an independent risk factor for cardiac death, which is the cause of death in approximately 45% of patients in dialysis. The prevalence of LVH in patients earlier in the course of renal insufficiency is unknown. As part of a prospective longitudinal study evaluating the progression of comorbid diseases in patients with progressive renal disease, we evaluated LVH. In 175 consecutive patients attending a renal insufficiency clinic we obtained technically adequate echocardiograms and estimated left ventricular mass index (LVMI) using two-dimensional targeted M-mode echocardiography. We calculated LVMI using the American Society of Echocardiography cube formula method regressed to anatomic validation. The population consisted of 115 men and 60 women ranging in age from 20 to 82 years (mean age, 51.5 years). The mean creatinine was 403 +/- 207 micro mol/L (+/-SD), representing a creatinine clearance (Ccr) of 25.5 +/- 17 mL/min. Left ventricular hypertrophy was defined as LVMI greater than 131 g/m(2) in men and greater than 100 g/m(2) in women, and was present in 38.9% of the population studied. We demonstrate that the prevalence of LVH increased with progressive renal decline: 26.7% of patients with Ccr greater than 50 mL/min had LVH, 30.8% of those with Ccr between 25 and 49 mL/min had LVH, and 45.2% of patients with severe renal impairment (Ccr <25 L/min) had LVH (P = 0.05). The mean…
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An AI-ECG-based approach that leverages ECG images and photographs can enable opportunistic screening through automated deployment across clinical settings where ECGs are obtained.
“Since early disease detection and intervention can alter the trajectory and outcomes of patients with SHDs, an AI-ECG-based approach that leverages ECG images and photographs can enable opportunistic screening through automated deployment across clinical settings where ECGs are obtained.42,43”
From Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images (2025) · cites this paper as [42]
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- Authors
- Levin, A., Singer, J., Thompson, C. R., Ross, H., & Lewis, M.
- Affiliations
- St. Paul's Hospital (CA)
- University of British Columbia (CA)
- Corresponding author
- Levin, Adeera
- Venue
- American Journal of Kidney Diseases
- Publisher
- Elsevier BV
- Published
- 1996-03
- Volume
- 27
- Issue
- 3
- Pages
- 347-354
- ISSN
- 0272-6386 (ISSN-L)
- OpenAlex
- W2071729123
- Cited by
- 709
- References
- 1
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 11 · 2023: 10 · 2022: 17 · 2021: 20 · 2020: 12 · 2019: 20 · 2018: 23 · 2017: 19 · 2016: 17 · 2015: 22 · 2014: 27 · 2013: 22 · 2012: 36
- FWCI
- 10.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Kidney Diseases (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Keywords
- left ventricular hypertrophy, predialysis, renal failure, left ventricular mass index, creatinine clearance, prevalence, systolic blood pressure, age, hemoglobin, echocardiography, cardiac death risk, chronic kidney disease progression, risk factors, intervention opportunities, end-stage renal disease prevention
- MeSH terms
- Adult, Aged, Aged, 80 and over, British Columbia, Echocardiography, Female, Renal Dialysis, Humans, Kidney Failure, Chronic, Male, Middle Aged, Prospective Studies, Comorbidity, Prevalence, Hypertrophy, Left Ventricular
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