Cited by 709Cardiovascular Function and Risk FactorsChronic Kidney Disease and DiabetesDialysis and Renal Disease Management

Prevalent left ventricular hypertrophy in the predialysis population: identifying opportunities for intervention

Levin, Adeera, Singer, Joel, Thompson, Christopher R., Ross, Heather, Lewis, Mary·1996·American Journal of Kidney Diseases

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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Crossref · 10.1016/s0272-6386(96)90357-1

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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”

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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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