Comparison of Left Ventricular Hypertrophy by Electrocardiography and Echocardiography in Children Using Analytics Tool

Tague, Lauren; Wiggs, Justin; Li, Qianxi; McCarter, Robert; Sherwin, Elizabeth D.; Weinberg, Jacqueline; Sable, Craig

doi:10.1007/s00246-018-1907-7

Cited by 11 publications

(9 citation statements)

References 34 publications

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“…It is easier for medical personnel to understand the disease dynamics of children and to change medicine when they have access to a comprehensive electronic medical record. It is also a valuable source of information for medical researchers conducting studies [28][29][30][31][32].…”

Section: Disease Surveillance and Management Are Alsomentioning

confidence: 99%

SQL Database-Based Child Physical Health Risk Assessment System

Zhu

et al. 2022

Mathematical Problems in Engineering

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The purpose of this study is to investigate the relationship between the various factors that affect children’s physical health. By analyzing the physical examination results of 1,000 children who had health examinations in the hospital from June 2019 to June 2021 in a SQL database, we were able to determine the factors influencing children’s physical health. Additionally, a method for assessing the physical health risks being faced by children is developed. To increase the evaluation’s effectiveness, a new type of physical health risk assessment system for children is being developed on the basis of the original physical health risk assessment system for children. The system hardware component optimizes the primary control chip and minimizes the system circuit to the smallest possible size. Simultaneously, a model for risk assessment of physical health is developed in children and a risk quantification procedure is implemented. The membership degree of the risk value is calculated using the fundamental concept of fuzzy logic, and the evaluation result is incorporated into this step of the computation to generate an accurate evaluation level. To date, no system for assessing physical health risks in children has been developed. We discovered while building the system test that the query accuracy of this system’s evaluation level can reach up to 96%, the detection time is reduced to a minimum of 5 seconds, and the usage effect is improved.

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Section: Disease Surveillance and Management Are Alsomentioning

confidence: 99%

SQL Database-Based Child Physical Health Risk Assessment System

Zhu

et al. 2022

Mathematical Problems in Engineering

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“…This novel analytics tool enabled us to mine, within minutes, two separate large databases and create a unified database for further analysis. 10 Patients aged 2-18 years with an electrocardiogram and echocardiogram on the same date were included. Race was classified as Caucasian, African American, and other.…”

Section: Methodsmentioning

confidence: 99%

“…9 Furthermore, findings of left ventricular hypertrophy on electrocardiogram remain a common reason for referral to paediatric cardiology clinic despite studies showing that it is a poor diagnostic tool compared to echocardiography, when used alone, to detect left ventricular hypertrophy. 10 Prior studies evaluating left ventricular hypertrophy in paediatrics have been limited by sample size and cumbersome manual methods. To access and incorporate a large amount of data from two separate databases, we used a novel data analytics technology that combines patient specific data across multiple diagnostic modalities.…”

mentioning

confidence: 99%

Effects of blood pressure percentile, body mass index, and race on left ventricular mass in children

Udine

Kaltman

et al. 2022

Cardiol Young

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Objective: To evaluate the association of systolic blood pressure percentile, race, and body mass index with left ventricular hypertrophy on electrocardiogram and echocardiogram to define populations at risk. Study design: This is a retrospective cross-sectional study design utilising a data analytics tool (Tableau) combining electrocardiogram and echocardiogram databases from 2003 to 2020. Customized queries identified patients aged 2–18 years who had an outpatient electrocardiogram and echocardiogram on the same date with available systolic blood pressure and body measurements. Cases with CHD, cardiomyopathy, or arrhythmia diagnoses were excluded. Echocardiograms with left ventricle mass (indexed to height2.7) were included. The main outcome was left ventricular hypertrophy on echocardiogram defined as Left ventricle mass index greater than the 95th percentile for age. Results: In a cohort of 13,539 patients, 6.7% of studies had left ventricular hypertrophy on echocardiogram. Systolic blood pressure percentile >90% has a sensitivity of 35% and specificity of 82% for left ventricular hypertrophy on echocardiogram. Left ventricular hypertrophy on electrocardiogram was a poor predictor of left ventricular hypertrophy on echocardiogram (9% sensitivity and 92% specificity). African American race (OR 1.31, 95% CI = 1.10, 1.56, p = 0.002), systolic blood pressure percentile >95% (OR = 1.60, 95% CI = 1.34, 1.93, p < 0.001), and higher body mass index (OR = 7.22, 95% CI = 6.23, 8.36, p < 0.001) were independently associated with left ventricular hypertrophy on echocardiogram. Conclusions: African American race, obesity, and hypertension on outpatient blood pressure measurements are independent risk factors for left ventricular hypertrophy in children. Electrocardiogram has little utility in the screening for left ventricular hypertrophy.

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“…We conducted a retrospective study of pregnancies affected by autoimmune mediated fetal CAVB encountered at Children's National Medical Center Fetal Heart Program from January 2005 to December 2017. Institutional databases using Crystal Reports (SAP SE, Walldorf, Germany) and a Structural Query Language Server integrated with echocardiogram data (Xcelera, Philips, Amsterdam, Netherlands) were queried. Fetal studies containing billing codes for “bradycardia” or “third degree atrioventricular block” were extracted; those with heterotaxy syndrome and/or coexistent complex significant intracardiac structural anomaly were excluded.…”

Section: Methodsmentioning

confidence: 99%

“…range[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Two fetuses only had one study in CAVB, including the one termination of pregnancy.…”

mentioning

confidence: 99%

Prediction of outcome in fetal autoimmune complete heart block

2020

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Assessing cardiac function and risk stratification in a fetal anti-Sjögren syndrome type A (SSA) or anti-Sjögren syndrome type B (SSB) complete atrioventricular block (CAVB) is challenging. We aimed to evaluate the cardiovascular profile score (CVP) and its components in surveillance of fetuses with autoimmune CAVB.Methods: Retrospective cohort review of CAVB pregnancies, excluding fetuses with significant cardiac anomalies.Results: CAVBs are in 17 fetuses, diagnosed at mean gestational age of 23 ± 5 weeks. Overall mortality is 18%: 1 termination, 1 fetal demise (intrauterine fetal demise [IUFD]), and 1 postnatal death. Both mortalities had intrauterine growth restriction; IUFD had placental infarction.Presenting CVP 8.7 ± 1. No fetus had CVP <7; the score correlated with increased risk of perinatal death. The 2 mortalities had initial CVP scores of 8 and 9; both increased to 10 on subsequent exams. 30% of fetuses had low middle cerebral artery pulsatility (MCA-PI) on the last study.All had high umbilical artery pulsatility (UA-PI) throughout gestation. The 2 deaths had the lowest MCA-PI.Conclusion: Despite low heart rates, high CVP scores in our cohort remained high and were not predictive of mortality. Abnormalities in MCA flow reflects fetal cerebral vasodilation that may indicate altered hemodynamics and be predictive of outcomes, but data is limited. Abnormal umbilical artery (UA) flow suggests that perinatal mortality may also be related to placental disease.

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Comparison of Left Ventricular Hypertrophy by Electrocardiography and Echocardiography in Children Using Analytics Tool

Cited by 11 publications

References 34 publications

SQL Database-Based Child Physical Health Risk Assessment System

SQL Database-Based Child Physical Health Risk Assessment System

Effects of blood pressure percentile, body mass index, and race on left ventricular mass in children

Prediction of outcome in fetal autoimmune complete heart block

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