Echocardiographic Measurements in Normal Chinese Adults Focusing on Cardiac Chambers and Great Arteries: A Prospective, Nationwide, and Multicenter Study

Yao, Guihua; Deng, Yan; Liu, Yan; Xu, Mingjun; Zhang, Cheng; Deng, Yong; Ren, Weidong; Li, Zhian; Tang, Hong; Zhang, Quanbin; Mu, Yuming; Fang, Ligang; Zhang, Mei; Yin, Long; Zhang, Yun

doi:10.1016/j.echo.2015.01.022

Cited by 76 publications

(95 citation statements)

References 24 publications

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“…Our research highlighted how there was sufficient agreement on criteria of inclusion adopted by latest major studies ( 1 5 -2 3 , 3 8 , 5 1 , 5 2 , 6 3 ) . H y p e r l i p i d e m i a , s y s t e m i c hypertension, diabetes mellitus, lung disease, renal failure, liver failure, genetic syndrome, neuro-muscular disorders, abnormal electrocardiographic and/or echocardiographic findings, connective tissue disease, and poor image quality have been used as exclusion criteria in the majority of works (15)(16)(17)(18)(19)(20)(21)(22)(23)38,51,52,63). Pregnant or lactating women, athletes, and subjects addicted to alcohol were also excluded by a few authors (15,16,60), and some studies also evaluated smoking (15,21,38,82), anaemia and fever (15,16) as exclusion criteria.…”

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

“…H y p e r l i p i d e m i a , s y s t e m i c hypertension, diabetes mellitus, lung disease, renal failure, liver failure, genetic syndrome, neuro-muscular disorders, abnormal electrocardiographic and/or echocardiographic findings, connective tissue disease, and poor image quality have been used as exclusion criteria in the majority of works (15)(16)(17)(18)(19)(20)(21)(22)(23)38,51,52,63). Pregnant or lactating women, athletes, and subjects addicted to alcohol were also excluded by a few authors (15,16,60), and some studies also evaluated smoking (15,21,38,82), anaemia and fever (15,16) as exclusion criteria. However, in some studies (15,19,38,43,52,54,63,82), inclusion criteria were well defined, in other sufficiently explained (20,21,24,30,50,52,61,67,70,74,76), while in few works the criteria were more generic (23,24,26,…”

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

“…Pregnant or lactating women, athletes, and subjects addicted to alcohol were also excluded by a few authors (15,16,60), and some studies also evaluated smoking (15,21,38,82), anaemia and fever (15,16) as exclusion criteria. However, in some studies (15,19,38,43,52,54,63,82), inclusion criteria were well defined, in other sufficiently explained (20,21,24,30,50,52,61,67,70,74,76), while in few works the criteria were more generic (23,24,26,58,59,69,73).…”

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

“…For 3D echocardiography, recommendations for chamber volumes quantification have recently become available (3) while guidelines for the 3D evaluation of cardiac valves mainly pertain to be an anatomical and functional assessment (without clear indication on basic quantification methods such as annulus measurements) (65). For strain analysis different methodologies may be employed (tissue Doppler echocardiography, 2D STE and, 3D echocardiography) (11)(12)(13)(14)(15)(16)(17)(18)(19)(20), but a consensus document only exists for STE (and indications for RV and atrial strain analysis are limited) (65).…”

Section: How To Perform Measurementsmentioning

confidence: 99%

“…Over the last few years , there has been a crescent call for patients specific rather than generic threshold values , leading multiple authors to publish echocardiographic normative data . In particular, four major multi-center studies (the Normal Reference Range for Echocardiography-NORRE-European, The Japanese Normal Values for Echocardiographic Measurement Project-JAMP, The Echocardiographic Measurements in Normal Chinese Adults-Eminca, and The Normal Echocardiographic Measurements in a Korean population-NORMAL-trials) are currently ongoing and normative data for many 2D and a few 3D parameters have been published (15)(16)(17)(18)(19)(20)(21)(22)(23)52). Contemporary, different centers addressed the need of having normative data for new parameters coming from 3D echocardiography (45)(46)(47)(48)(49)(50)(51)(52)(53)(54)(55)(56)(57)(58) and deformation analysis .…”

Section: Introductionmentioning

confidence: 99%

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Adult echocardiographic nomograms: overview, critical review and creation of a software for automatic, fast and easy calculation of normal values

Cantinotti¹,

Giordano²,

Paterni³

et al. 2017

J. Thorac. Dis.

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There is a crescent interest on normal adult echocardiographic values and the introduction of new deformation imaging and 3D parameters pose the issue of normative data. A multitude of nomograms has been recently published, however data are often fragmentary, difficult to find, and their strengths/ limitations have been never evaluated. Aims: (I) to provide a review of current echocardiographic nomograms; (II) to generate a tool for easy and fast access to these data. A literature search was conducted accessing the National Library of Medicine using the keywords: 2D/3D echocardiography, strain, left/ right ventricle, atrial, mitral/tricuspid valve, aorta, reference values/nomograms/normal values. Adding the following keywords, the results were further refined: range/intervals, myocardial velocity, strain rate and speckle tracking. Forty one published studies were included. Our study reveals that for several of 2D/3D parameters sufficient normative data exist, however, a few limitations still persist. For some basic parameters (i.e., mitral/tricuspid/pulmonary valves, great vessels) and for 3D valves data are scarce. There is a lack of studies evaluating ethnic differences. Data have been generally expressed as mean values normalised for gender and age instead of computing models incorporating different variables (age/gender/body sizes) to calculate z scores. To summarize results a software (Echocardio-Normal Values) who automatically calculate range of normality for a broad range of echocardiographic measurements according to age/gender/weight/ height, has been generated. We provide an up-to-date and critical review of strengths/limitation of current adult echocardiographic nomograms. Furthermore we generated a software for automatic, easy and fast access to multiple echocardiographic normative data.

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Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

Section: How To Perform Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adult echocardiographic nomograms: overview, critical review and creation of a software for automatic, fast and easy calculation of normal values

Cantinotti¹,

Giordano²,

Paterni³

et al. 2017

J. Thorac. Dis.

View full text Add to dashboard Cite

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Reduced myocardial work in asymptomatic heavy alcohol use and its correlation with epicardial adipose tissue volume and serum biomarkers

Gao,

Yin,

et al. 2023

Clinical Cardiology

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BackgroundIt is unclear whether long‐term heavy alcohol use leads to early cardiac function decline.HypothesisLong‐term heavy alcohol use developed reduced cardiac function in subclinical status by analyzing myocardial work (MW). Epicardial adipose tissue (EAT) volume and serum biomarkers contribute to identify potential factors sensitive in predicting early cardiac function decline.MethodsWe enrolled 31 asymptomatic participants with heavy alcohol use and 33 age and sex‐matching nondrinking individuals. Participants underwent echocardiography, MW analysis, EAT volume measurement, serum biochemical examinations, and body composition assessment. We used multivariate linear regression to identify correlation between MW and total cholesterol (TC), EAT volume, and placental growth factor (PlGF). To determine global work efficiency (GWE) below the normal reference value of 96%, we developed receiver operating curves with area under curve (AUC) to compare different combinations of TC, EAT volume, and PlGF.ResultsAll 64 participants were male. GWE was reduced in the alcohol use group compared with the control group (96, interquartile range [IQR] = [95–97.75] vs. 97, IQR = [97–98], p = .004). TC was positively associated with GWE (β = .434, 95% confidence interval [CI] = 0.228 to 1.328, p = .008), whereas EAT volume (β = −.398, 95% CI = −0.000446 to −0.000093, p = .005) and PlGF (β = −.493, 95% CI = −1.010 to −0.230, p = .004) were inversely associated with GWE. The most significant AUC for reduced GWE was TC + EAT volume (0.851, 95% CI = 0.671 to 1, p = .006).ConclusionAsymptomatic heavy alcohol use has shown early reduced cardiac function which can be associated with altered fat metabolism, suggesting individuals with alcohol use and abnormal fat metabolism need to be alert to heart damage.

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Prevalence and prognosis of frailty in older patients with stage B heart failure with preserved ejection fraction

Meng

Chai

et al. 2023

ESC Heart Failure

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Aims Frailty in older patients with stage B heart failure with preserved ejection fraction (HFpEF) has not been fully explored. We evaluated the prevalence and prognostic significance of frailty in older patients diagnosed with stage B HFpEF. Methods Our prospective cohort study included inpatients aged ≥65 years who were followed up for 3 years. Stage B HFpEF was defined as cardiac structural or functional abnormalities with a left ventricular ejection fraction (LVEF) ≥ 50% without signs or symptoms. Frailty was assessed using the Fried phenotype. The primary outcome was 3‐year all‐cause mortality or readmission. Results Overall, 520 older inpatients diagnosed with stage B HFpEF [mean ± standard deviation age: 75.5 ± 6.25 years, male: 222 (42.7%)] were included in the study. Of these, 145 (27.9%) were frail. Frail patients were older (78.5 ± 6.23 vs. 74.3 ± 6.22 years, P < 0.001), with a lower body mass index (24.6 ± 3.60 vs. 25.7 ± 3.27 kg/m 2 , P = 0.001), higher level of N‐terminal pro‐B‐type natriuretic peptide [279 (interquartile range: 112.4, 596) vs. 140 (67.1, 266) pg/mL, P < 0.001], longer timed up‐and‐go test result (19.9 ± 9.71 vs. 13.3 ± 5.08 s, P < 0.001), and poorer performance in the short physical performance battery (4.1 ± 3.26 vs. 8.2 ± 2.62, P < 0.001), basic activities of daily living (BADL, 4.7 ± 1.71 vs. 5.7 ± 0.57, P < 0.001), and instrumental activities of daily living (IADL, 4.4 ± 2.73 vs. 7.4 ± 1.33, P < 0.001). Frail patients were more likely to have a Mini‐Mental State Examination (MMSE) score <24 (55.9% vs. 28.8%, P < 0.001) and take more than five medications (64.1% vs. 47.2%, P = 0.001). Frail patients had a higher incidence of all‐cause mortality or readmission (62.8% vs. 47.7%, P = 0.002), all‐cause readmission (56.6% vs. 45.9%, P = 0.029), and readmission for non‐heart failure (55.2% vs. 41.3%, P = 0.004) during the 3‐year follow‐up, with a 1.53‐fold (95%CI 1.11–2.11, P = 0.009) higher risk of all‐cause mortality or readmission, a 1.52‐fold (95%CI 1.09–2.11, P = 0.014) higher risk of all‐cause readmission, and a 1.70‐fold (95%CI 1.21–2.38, P = 0.002) higher risk of readmission for non‐clinical heart failure, adjusted for sex, age, polypharmacy, Athens Insomnia Scale, MMSE, LVEF, BADL, and IADL. Conclusions Frailty is common in elderly patients with stage B HFpEF. Physical frailty, particularly low physical activity, can independently predict the long‐term prognosis in these patients.

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Echocardiographic Measurements in Normal Chinese Adults Focusing on Cardiac Chambers and Great Arteries: A Prospective, Nationwide, and Multicenter Study

Cited by 76 publications

References 24 publications

Adult echocardiographic nomograms: overview, critical review and creation of a software for automatic, fast and easy calculation of normal values

Adult echocardiographic nomograms: overview, critical review and creation of a software for automatic, fast and easy calculation of normal values

Reduced myocardial work in asymptomatic heavy alcohol use and its correlation with epicardial adipose tissue volume and serum biomarkers

Prevalence and prognosis of frailty in older patients with stage B heart failure with preserved ejection fraction

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