A Comparison between Brachial and Echocardiographic Systolic Time Intervals

Su, Ho‐Ming; Lin, Tsung-Hsien; Hsu, Po-Chao; Chu, Chun-Yuan; Lee, Wen-Hsien; Chen, Szu-Chia; Lee, Chee-Siong; Voon, Wen‐Chol; Lai, Wen‐Ter; Sheu, Sheng‐Hsiung

doi:10.1371/journal.pone.0055840

Cited by 11 publications

(21 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Associations between systolic time intervals and LVEF have hereto been noninvasively determined from the pressure tracings of a peripheral artery such as the common carotid artery 3 or brachial artery 5 or determined from cardiac chamber Doppler tracings 6 – 8 , 11 . These estimates of LVET or systolic time intervals are correlated with systolic function and have been proposed as a method of serially monitoring serial changes in cardiac function 1 , 11 and identifying the presence of LV systolic dysfunction 11 , 12 …”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Left Ventricular Ejection Time Derived From the Common Carotid Artery Doppler Waveform

Polak

Alessi-Chinetti

Estes

et al. 2015

J of Ultrasound Medicine

View full text Add to dashboard Cite

Objectives Left ventricular ejection time (LVET) is measured from blood pressure tracings as the interval from end diastole to the dicrotic notch and shows associations with left ventricular ejection fraction (LVEF) and heart failure. LVET can be measured on common carotid artery Doppler waveforms. We therefore studied the possible associations of common carotid artery LVET with LVEF measured by echocardiography and heart failure. Methods We performed a retrospective study of 110 patients who had transthoracic echocardiography and carotid Doppler evaluations within 1 day of each other. LVEF was determined by the biplane modified Simpson method. LVET was measured from left common carotid artery Doppler tracings. Linear regression was used to evaluate associations between LVET and LVEF. We also used logistic regression with LVEF of less than 40% as a cut point for heart failure to generate a receiver operating characteristic curve, estimate the area under the curve, and calculate sensitivity and specificity. Results LVET was associated with LVEF (P < .0001). The area under the curve of LVET for heart failure was 0.81 (95% confidence interval [CI], 0.72–0.87), and the sensitivity and specificity were 76.9% (95% CI, 65.4%–88.4%) and 65.5% (95% CI, 53.4%–77.8%), respectively, for LVET of 321 milliseconds. Conclusions LVET measured on common carotid artery Doppler tracings decreases with LVEF and is strongly associated with prevalent heart failure. Based on what is known of blood pressure–measured LVET, common carotid artery Doppler waveform–derived LVET could be used to serially monitor cardiac function.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Blood pressure–determined LVET is correlated with left ventricular ejection fraction (LVEF) 2 , 3 . Measurements of LVET and systolic time intervals have been proposed as a means for serially monitoring cardiac function and as a marker of heart failure 1 , 4 , 5 …”

mentioning

confidence: 99%

Left Ventricular Ejection Time Derived From the Common Carotid Artery Doppler Waveform

Polak

Alessi-Chinetti

Estes

et al. 2015

J of Ultrasound Medicine

View full text Add to dashboard Cite

show abstract

“…They found that brachial STIs were good alternatives to STIs obtained from echocardiography, and that they were also helpful in identifying an LVEF < 50% [57]. They also found that although brachial and echocardiographic STIs were different, brachial STIs were useful parameters which could be easily and quickly obtained to evaluate LV systolic dysfunction.…”

Section: The Ratio Of Brachial Pre-ejection Period (Bpep) To Brachialmentioning

confidence: 99%

Prognostic Cardiovascular Markers in Chronic Kidney Disease

Chen

Huang

et al. 2018

Kidney Blood Press Res

Self Cite

View full text Add to dashboard Cite

Chronic kidney disease (CKD), including end-stage renal disease (ESRD), is a public health issue worldwide, and is associated with high rates of morbidity and mortality. In addition, cardiovascular disease is a major cause of mortality in these patients. Both traditional and nontraditional risk factors associated with CKD can lead to remodeling of the myocardium and blood vessels, thereby resulting in cardiomyopathy, atherosclerosis and arterial stiffness. This can subsequently lead to ischemic heart disease, heart failure, cardiovascular death, rapid renal progression and progression to ESRD. Identifying these risk factors to allow for aggressive preventive and interventional strategies is important for the management of patients with CKD. This aim of this review was to survey the clinical outcomes of CKD using cardiac and vascular markers including echocardiographic parameters, systolic time intervals, electrocardiography, heart rate variability, ankle-brachial index, pulse wave velocity, differences between interarm and interankle blood pressure, and vascular calcification.

show abstract

“…An alternative parameter for evaluating cardiac systolic performance is STI20, Patients with decreased LVEF and left ventricular contractility have a long PEP, a shortened ET, and a long PEP/ET152021. Various STIs measured by non-invasive sphygmography, phonocardiography, peripheral arterial waveform recordings, or echocardiography reportedly have significant correlations with LVEF161722232425. Clinical applications of STI have been reported in various cardiac diseases, including heart failure, coronary artery disease, and hypertension142627.…”

Section: Discussionmentioning

confidence: 99%

Renal systolic time intervals derived from intra-renal artery Doppler as a novel predictor of adverse cardiac outcomes

Lee

Hsu

Chu

et al. 2017

Sci Rep

Self Cite

View full text Add to dashboard Cite

The aim of this study was to evaluate the use of renal systolic time intervals measured by electrocardiographic gated Doppler ultrasonography for predicting adverse cardiac events. This longitudinal observation study enrolled 205 patients. Renal systolic time intervals, including pre-ejection period (PEP) and ejection time (ET), and ratio of renal PEP to ET, were measured by electrocardiographic gated Doppler ultrasound. The 14 adverse cardiac events identified in this population included 9 cardiac deaths and 5 hospitalizations for heart failure during an average follow up of 30.9 months (25th–75th percentile: 30–33 months). Renal PEP (hazard ratio = 1.023, P = 0.001), renal ET (hazard ratio = 0.975, P = 0.001) and renal PEP/ET (per 0.01 unit increase, hazard ratio = 1.060, P < 0.001) were associated with poor cardiac outcomes. The addition of renal PEP/ET to a Cox model containing important clinical variables and renal resistive index further improved the value in predicting adverse cardiac events (Chi-square increase, 9.996; P = 0.002). This study showed that parameters of intra-renal hemodynamics were potential predictors of adverse cardiac outcomes. However, the generalizability of these indicators need to be investigated in future large-scale studies.

show abstract

A Comparison between Brachial and Echocardiographic Systolic Time Intervals

Cited by 11 publications

References 18 publications

Left Ventricular Ejection Time Derived From the Common Carotid Artery Doppler Waveform

Left Ventricular Ejection Time Derived From the Common Carotid Artery Doppler Waveform

Prognostic Cardiovascular Markers in Chronic Kidney Disease

Renal systolic time intervals derived from intra-renal artery Doppler as a novel predictor of adverse cardiac outcomes

Contact Info

Product

Resources

About