2022
DOI: 10.4330/wjc.v14.i4.239
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Global longitudinal strain is superior to ejection fraction for detecting myocardial dysfunction in end-stage renal disease with hyperparathyroidism

Abstract: BACKGROUND The estimation of left ventricular ejection fraction (LVEF) by 2D echocardiography (2D-ECHO) is the most used tool to assess LV systolic function (LVSF). Global longitudinal strain (GLS) has recently been suggested as a superior method for several evaluations. This study explored the association and prevalence of LV systolic dysfunction (LVSD) by using these methods in patients with end-stage renal disease (ESRD) and severe hyperparathyroidism (SHPTH); both associated with cardiovascula… Show more

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Cited by 5 publications
(3 citation statements)
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References 56 publications
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“…To our knowledge, no studies have evaluated the relationship between IL-1B and GLS in patients on maintenance HD. Some authors consider that GLS could be a better predictor of left ventricle systolic dysfunction compared to the ejection fraction measurement in patients on dialysis [ 39 ].…”
Section: Discussionmentioning
confidence: 99%
“…To our knowledge, no studies have evaluated the relationship between IL-1B and GLS in patients on maintenance HD. Some authors consider that GLS could be a better predictor of left ventricle systolic dysfunction compared to the ejection fraction measurement in patients on dialysis [ 39 ].…”
Section: Discussionmentioning
confidence: 99%
“…New and more useful quantification measures are being developed along with the abovementioned novel imaging techniques. For example, global longitudinal strain (measured via conventional 2-dimensional echocardiography) has been reported to be a more sensitive predictor of myocardial dysfunction in ESRD compared with LVEF [ 42 ].…”
Section: Screening and Diagnosismentioning
confidence: 99%
“…However, HF is such a complex syndrome that no single marker can be used to classify those patients. Accumulating data from recent studies show that markers of contractility such as longitudinal strain[ 19 ] and cardiac power[ 20 ] outperform the LVEF. The incorporation of artificial intelligence (AI) in diagnostic modalities, outcome predictions, and management of HF (individualized precision medicine) constitutes a major development in the field of cardiovascular medicine.…”
Section: To the Editormentioning
confidence: 99%