Optimize speckle-tracking echocardiography screening in CKD patients: a TyG index-based nomogram model - Report - MDSpire

Optimize speckle-tracking echocardiography screening in CKD patients: a TyG index-based nomogram model

  • By

  • Chanchengman Wong

  • Qing Ye

  • Ting Xie

  • Junhua Chen

  • Xingchu Zhang

  • Jieqiao Chen

  • Yongquan Huang

  • Yin Huang

  • July 3, 2026

  • 0 min

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Clinical Report: Enhancing Speckle-Tracking Echocardiography Screening for CKD Patients

Overview

This study developed a nomogram model based on the TyG index to predict abnormal global longitudinal strain (GLS) in chronic kidney disease (CKD) patients. The model demonstrated robust predictive performance.

Background

Chronic kidney disease (CKD) is prevalent globally and significantly increases the risk of cardiovascular complications, particularly left ventricular (LV) dysfunction. Early detection of LV systolic dysfunction is crucial for improving outcomes in CKD patients. However, routine screening with speckle-tracking echocardiography (STE) may lead to unnecessary resource utilization.

Data Highlights

CharacteristicValue
Sample Size212
Median Age47 years
Male Percentage58%
AUC of Nomogram Model0.838-0.842

Key Findings

  • Male sex (OR = 2.77) is an independent predictor of reduced GLS.
  • Diastolic blood pressure (OR = 1.07) correlates with reduced GLS.
  • High-density lipoprotein (OR = 0.36) is inversely associated with reduced GLS.
  • The TyG index (OR = 4.55) is a strong predictor of abnormal GLS.
  • The nomogram model shows robust predictive performance across multiple risk thresholds.

Clinical Implications

The nomogram model based on the TyG index may assist clinicians in identifying CKD patients at high risk for abnormal GLS.

Conclusion

The TyG index-based nomogram model presents a tool for predicting abnormal GLS in CKD patients.

Related Resources & Content

  1. Clinical Research in Cardiology, 2024 -- Evaluating the Prognostic Utility of a Combined Clinical and Echocardiographic Risk Score for Predicting Cardiovascular Outcomes in Patients with Ischemic Heart Failure and Reduced Ejection Fraction
  2. Frontiers in Medicine, 2026 -- Development of a Nomogram for Predicting Incident Heart Failure and All-cause Mortality in Patients with Chronic Kidney Disease: A 3-year Follow-up Study
  3. Frontiers in Cardiovascular Medicine, 2026 -- E/e' Ratio Combined with Left Ventricular Mass Index Predicts HFpEF Rehospitalization Risk in Stage 3-4 Chronic Kidney Disease Patients: A Retrospective Cohort Study
  4. Clinical Research in Cardiology, 2024 -- Cardiac Function in Patients with Chronic Kidney Disease: Findings from the CPH-CKD ECHO Study
  5. KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease
  6. Speckle-Tracking Strain Echocardiography for the Assessment of Left Ventricular Structure and Function: A Scientific Statement From the American Heart Association
  7. https://kdigo.org/wp-content/uploads/2024/03/KDIGO-2024-CKD-Guideline.pdf
  8. Speckle-Tracking Strain Echocardiography for the Assessment of Left Ventricular Structure and Function: A Scientific Statement From the American Heart Association - PubMed
  9. Mechanical dispersion predicts survival of dialysis-dependent patients with preserved left ventricular ejection fraction - PubMed

Original Source(s)

Optimize speckle-tracking echocardiography screening in CKD patients: a TyG index-based nomogram model

  • by Chanchengman Wong, Qing Ye, Ting Xie, Junhua Chen, Xingchu Zhang, Jieqiao Chen, Yongquan Huang, Yin Huang

  • July 3, 2026

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