Left Ventricular Mass Index Predicts Renal Function Decline in Patients with Chronic Kidney Disease

Antonio Lacquaniti1, Fabrizio Ceresa2, Susanna Campo1

  • 1Nephrology and Dialysis Unit, Papardo Hospital, 98158 Messina, Italy.

PubMed

Insights

In patients with chronic kidney disease (CKD), high left ventricular mass index (LVMi) predicts worsening renal function. Echocardiography can identify CKD patients at higher risk for kidney disease progression.

Area of Science:

  • Nephrology
  • Cardiology
  • Medical Imaging

Background:

  • Abnormal cardiac remodeling is linked to declining glomerular filtration rate (GFR).
  • Limited data exist on echocardiographic changes in chronic kidney disease (CKD).
  • This study investigates cardiac structures in CKD patients and their association with renal function decline.

Purpose of the Study:

  • To evaluate abnormal cardiac structures in CKD patients.
  • To assess the independent association between echocardiographic parameters and renal function decline.
  • To identify echocardiographic predictors of kidney disease progression.

Main Methods:

  • 160 CKD patients underwent echocardiography and 99mTc-DTPA renal scintigraphy for GFR measurement.
  • Patients were followed for 12 months for renal function endpoints (e.g., creatinine doubling, GFR decline ≥25%, dialysis initiation).
  • Regression analysis, including multiple Cox regression, was used to assess associations.

Main Results:

  • CKD patients (GFR 34.8 ± 15 mL/min) showed high left ventricular mass index (LVMi) (101.9 ± 12.2 g/m²).
  • High LVMi correlated with proteinuria, systolic blood pressure, and pulmonary artery systolic pressure.
  • Increased LVMi independently predicted a 12% higher risk of kidney disease progression (HR: 1.12; p=0.001).

Conclusions:

  • High LVMi is an independent predictor of progressive renal function decline in CKD patients.
  • Echocardiography can identify CKD patients at high risk for worsening kidney disease.
  • Cardiac structure assessment via echocardiography aids risk stratification beyond clinical cardiac symptoms.

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