Effect of food intake on left and right ventricular systolic tissue Doppler measurements

Dieden, Anna; Gårdinger, Ylva; Hlebowicz, Joanna; Björgell, Ola; Dencker, Magnus

doi:10.1111/cpf.12242

Cited by 8 publications

(13 citation statements)

References 37 publications

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“…Although there was a small decrease in ejection time, the main alteration leading to the significant decrease in MPI after eating is the decrease in ICT + IRT. In comparison to our previous findings [14–16] the change in MPI is larger than the changes seen for diastolic parameters, and of the same magnitude as several systolic changes. The exact mechanisms behind the findings in the present investigation are hard to define.…”

Section: Discussioncontrasting

confidence: 90%

“…We have previously reported data from our cohort on the effect of food intake on systolic and diastolic function [14–16]. The purpose of the present study is to evaluate the hypothesis that food intake, in healthy volunteers, may have an effect on myocardial performance index, as it is considered a reflection of the total left ventricular function.…”

Section: Introductionmentioning

confidence: 99%

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Effect of food intake on myocardial performance index

Gårdinger

Dieden

Hlebowicz

et al. 2017

Cardiovasc Ultrasound

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BackgroundMyocardial performance index (MPI) has been investigated in a variety of populations, but the effect of food intake has not been evaluated. We assessed whether myocardial performance index is affected by food intake in healthy subjects.MethodsTwenty-three healthy subjects aged 25.6 ± 4.5 years were investigated. MPI was measured before, 30 min after, and 110 min after a standardized meal.ResultsMPI decreased significantly (P < 0.05) from fasting values 30 min after the meal, and had almost returned to baseline after 110 min. MPI decreased from 0.28 ± 0.06 (fasting) to 0.20 ± 0.07 30 min after eating. At 110 min after eating the index value was almost back to the baseline value 0.26 ± 0.06. (P = 0.15).ConclusionsThis study shows that myocardial performance index is affected by food intake in healthy subjects.

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Section: Discussioncontrasting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Effect of food intake on myocardial performance index

Gårdinger

Dieden

Hlebowicz

et al. 2017

Cardiovasc Ultrasound

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“…There is a continuous search for novel biomarkers that could improve the assessment in neurological diseases (Lind et al., ; Lind, Emami Khoonsari et al., ; Lind, Wu et al., ; Miclescu, Svahn, & Gordh, ; Moen et al., ). Digestion of food is known to have significant hemodynamic and metabolic effects (Dencker, Björgell, & Hlebowicz, ; Dieden, Gårdinger, Bjorgell, Hlebowicz, & Dencker, ; Gårdinger, Bjorgell, Hlebowicz, & Dencker, ; Hlebowicz, Lindstedt‐Ingemansson, Björgell, & Dencker, ; Hlebowicz, Lindstedt‐Ingemansson, Björgell, & Dencker, ; Quatela, Callister, Patterson, & MacDonald‐Wicks, ; Stensel, ), and may therefore affect different biomarkers. It is relevant from a practical point of view to investigate if these biomarkers are affected by food intake, as it would affect sample collection.…”

Section: Introductionmentioning

confidence: 99%

Effect of food intake on 92 neurological biomarkers in plasma

2017

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ObjectiveThis study evaluates the effect of food intake on 92 neurological biomarkers in plasma. Moreover, it investigated if any of the biomarkers were correlated with body mass index.Materials and MethodsTwenty‐two healthy subjects (11 male and 11 female aged 25.9 ± 4.2 years) were investigated. A total of 92 biomarkers were measured before a standardized meal as well as 30 and 120 min afterward with the Proseek Multiplex Neurology I kit.ResultsThe levels for 13 biomarkers decreased significantly (p < .001) 30 min after food intake. The levels for four biomarkers remained significantly decreased (p < .001) 120 min after food intake. One biomarker increased significantly (p < .001) 30 min after food intake. The changes were between 1% and 12%, with an average difference of about 5%. Only one biomarker showed a difference over 10% due to food intake. The biggest difference was observed for Plexin‐B3 120 min after food intake (12%). Of all the 92 neurological biomarkers, only one was correlated with BMI, Kynureninase r = .46, p < .05.ConclusionsThis study shows that food intake has a very modest effect on 92 different neurological biomarkers. Timing of blood sampling in relation to food intake, therefore, appears not to be a major concern. Only Kynureninase was correlated with BMI. Further studies are warranted in older healthy subjects and in patients with various neurological diseases to determine whether the findings are reproducible in such populations.

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“…[1][2][3][4] Digestion of food is known to alter hemodynamics, [5][6][7] and we have previously shown that both systolic and diastolic functions are affected significantly when comparing echocardiographic exams during fasting and after a meal in a young population. [8][9][10][11] Though the findings might not be of consequence for clinical evaluations in everyday practice, they suggest that the effects of food consumption should be considered, in studies, especially if the sample size is small. [8][9][10][11] The cardiovascular system changes with increasing age, both physiologically and not so rarely pathologically.…”

Section: Introductionmentioning

confidence: 93%

“…[8][9][10][11] Though the findings might not be of consequence for clinical evaluations in everyday practice, they suggest that the effects of food consumption should be considered, in studies, especially if the sample size is small. [8][9][10][11] The cardiovascular system changes with increasing age, both physiologically and not so rarely pathologically. [12][13][14][15][16] Hence, senior people are an important target group in cardiovascular studies.…”

Section: Introductionmentioning

confidence: 93%

Effect of food intake on echocardiographic measurements in healthy elderly

et al. 2022

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Objective: This study evaluates whether food intake affects systolic and diastolic echocardiographic measurements in healthy seniors.Methods: Thirty healthy subjects 65-70 years of age were investigated with echocardiography, at fasting and then 30, 90, and 180 min after a meal. Results:After 30 min the biggest changes were seen in left ventricular wall stress and myocardial performance index with a decrease of 45% and 33%, respectively, compared to fasting values. Significant (p < .05) increases also were seen in left ventricular stroke volume, left ventricular cardiac output, left ventricular cardiac index, left ventricular outflow velocity-time integral, peak of early diastolic (E) and late diastolic (A) mitral flow velocities, the E/A ratio, pulsed tissue Doppler peak systolic (s') and early (e') and late (a') diastolic velocities, pulmonary vein peak velocities in systole (S) and diastole (D), mitral annular plane systolic excursion (MAPSE), tricuspid annular plane systolic excursion (TAPSE), and global longitudinal strain (GLS) (increases ranging 6%-19%). After 90 min there remained a decrease in wall stress and myocardial performance index of 31% and 17%, respectively, and smaller, but still significant, changes could be seen in left ventricular stroke volume, left ventricular outflow velocity-time integral, MAPSE (lateral), TAPSE, GLS, and a few pulsed tissue Doppler peak systolic velocities and late diastolic velocities. An increase also could be seen in deceleration time of E-wave (DT). After 180 min, all variables except DT were back at baseline or below. No significant changes were seen in S/D ratio, lateral early diastolic velocity (e' lateral) and E/e'ratio. Conclusions:This study shows that food intake affects commonly used echocardiographic parameters, both systolic and diastolic, in healthy seniors. With a few exceptions, the changes seen in the older population were less pronounced than previous studies in younger subjects.

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Effect of food intake on left and right ventricular systolic tissue Doppler measurements

Cited by 8 publications

References 37 publications

Effect of food intake on myocardial performance index

Effect of food intake on myocardial performance index

Effect of food intake on 92 neurological biomarkers in plasma

Effect of food intake on echocardiographic measurements in healthy elderly

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