Age‐related changes in diastolic function in children: Echocardiographic association with vortex formation time

Kulkarni, Aparna; Morisawa, Daisuke; González, Daisy; Kheradvar, Arash

doi:10.1111/echo.14479

Cited by 7 publications

(4 citation statements)

References 27 publications

(69 reference statements)

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“… [20] , [21] Since we dd not collected diastolic parameters we could not obtain the vortex formation time. [22] Third, the software that we employed did allow for quantitative measures of vorticity, energy loss, and kinetic energy. [2] Furthermore, due to current technical limitations, we were unable to visualized the main vortex along all the different phases of the cardiac cycle for all patients, and the visualization of more than one vortex was only possible in 9 healthy subjects (7.6%) and 7 children with CHDs (16.3%).…”

Section: Limitationsmentioning

confidence: 99%

Left ventricular vortex analysis by high-frame rate blood speckle tracking echocardiography in healthy children and in congenital heart disease

Marchese

Cantinotti

Eynde

et al. 2021

IJC Heart & Vasculature

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Section: Limitationsmentioning

confidence: 99%

Left ventricular vortex analysis by high-frame rate blood speckle tracking echocardiography in healthy children and in congenital heart disease

Marchese

Cantinotti

Eynde

et al. 2021

IJC Heart & Vasculature

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“…Age and weight are important factors for both early extubation in fast-track management and delayed extubation after congenital heart surgery in children ( 44 ). Infants' left ventricle has altered relaxation characteristics that progressively change over the first year of life and reach adult level ( 45 ). The less proliferation of cardiomyocytes and sarcoplasmic reticulum in the myocardium contributes to the lower cardiac contractility.…”

Section: Discussionmentioning

confidence: 99%

The predictive value of pressure recording analytical method for the duration of mechanical ventilation in children undergoing cardiac surgery with an XGBoost-based machine learning model

Wang²,

Zhang³

et al. 2022

Front. Cardiovasc. Med.

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ObjectiveProlonged mechanical ventilation in children undergoing cardiac surgery is related to the decrease in cardiac output. The pressure recording analytical method (PRAM) is a minimally invasive system for continuous hemodynamic monitoring. To evaluate the postoperative prognosis, our study explored the predictive value of hemodynamic management for the duration of mechanical ventilation (DMV).MethodsThis retrospective study included 60 infants who underwent cardiac surgery. Cardiac index (CI), the maximal slope of systolic upstroke (dp/dtmax), and cardiac cycle efficiency (CCE) derived from PRAM were documented in each patient 0, 4, 8, and 12 h (T0, T1, T2, T3, and T4, respectively) after their admission to the intensive care unit (ICU). A linear mixed model was used to deal with the hemodynamic data. Correlation analysis, receiver operating characteristic (ROC), and a XGBoost machine learning model were used to find the key factors for prediction.ResultsLinear mixed model revealed time and group effect in CI and dp/dtmax. Prolonged DMV also have negative correlations with age, weight, CI at and dp/dtmax at T2. dp/dtmax outweighing CI was the strongest predictor (AUC of ROC: 0.978 vs. 0.811, p < 0.01). The machine learning model suggested that dp/dtmax at T2 ≤ 1.049 or < 1.049 in combination with CI at T0 ≤ 2.0 or >2.0 can predict whether prolonged DMV (AUC of ROC = 0.856).ConclusionCardiac dysfunction is associated with a prolonged DMV with hemodynamic evidence. CI measured by PRAM immediately after ICU admission and dp/dtmax 8h later are two key factors in predicting prolonged DMV.

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“…Our study also showed that these two factors have correlations with prolonged DMV. The infants' left ventricle have altered relaxation characteristics that progressively change over the rst year of life and reach adult level [47]. The less proliferation of cardiomyocytes and sarcoplasmic reticulum in the myocardium contributes to the lower cardiac contractility.…”

Section: Other Factors Affecting Dmv In Infantsmentioning

confidence: 99%

The predictive value of Pressure Recording Analytical Method for the duration of mechanical ventilation in children undergoing cardiac surgery with an XGboost based machine learning model

Zhang

Wang

et al. 2022

Preprint

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Background：Prolonged mechanical ventilation in children undergoing cardiac surgery is related to the decrease of cardiac output during the postoperative intense care time, which often induced serious complications. Pressure Recording Analytical Method (PRAM) is a minimally invasive system for continuous hemodynamic monitoring, which can timely record the presence of lower cardiac function. This study is aimed to evaluate the predictive value of the several hemodynamic parameters for the duration of mechanical ventilation (DMV).Methods：This retrospective study included 60 children under 1-year-old who underwent cardiac surgery between 2017 and 2021. CI, CCE and dp/dt max derived from PRAM was documented in each patient 0, 4, 8 and 12 hours (T0, T1,T2, T3 and T4 respectively) after admission to the intensive care unit (ICU). A linear mixed model were used to deal with the repeated measurement on hemodynamic data. Correlation analysis and Receiver operating characteristic (ROC) curves were used to show the predictive value. XGBoost machine learning-based mode which produces a decision tree-heat map was used to find the key characteristics of the data in predicting the outcome. Results：There were 35(58%) children in DMV≤24 h group and 25(42%) were in DMV>24h. Prolonged DMV caused longer ICU stays and postoperative hospital stays. Linear mixed model revealed significant time and group effect in CI and dp/dt max. Prolonged DMV also have negative correlations with age, weight, CI at T2 and dp/dt max at T2. dp/dt max outweighing CI were the strongest predictors of prolonged DMV(AUC of ROC: 0.978 vs 0.811, respectively, p<0.01). The XGboost based learning machine model (Balance Accuracy=0.92, AUC of ROC=0.856) suggested that dp/dt max at T2 ≤1.049 or >1.049 in combination with CI at T0 ≤2 or > 2 can predict prolonged DMV.Conclusions：Hemodynamic monitoring in infants with PRAM after the cardiac surgery shows that the cardiac function can predict the prolonged duration of mechanical ventilation. CI measured by PRAM immediately after ICU admission and dp/dt max that 8h later are 2 key factors in predicting prolonged DMV with the application of XGboost based machine learning model.

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Age‐related changes in diastolic function in children: Echocardiographic association with vortex formation time

Cited by 7 publications

References 27 publications

Left ventricular vortex analysis by high-frame rate blood speckle tracking echocardiography in healthy children and in congenital heart disease

Left ventricular vortex analysis by high-frame rate blood speckle tracking echocardiography in healthy children and in congenital heart disease

The predictive value of pressure recording analytical method for the duration of mechanical ventilation in children undergoing cardiac surgery with an XGBoost-based machine learning model

The predictive value of Pressure Recording Analytical Method for the duration of mechanical ventilation in children undergoing cardiac surgery with an XGboost based machine learning model

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