Skip to main content
Erschienen in: Pediatric Cardiology 7/2022

Open Access 08.04.2022 | Original Article

Impact of Sex and Obesity on Echocardiographic Parameters in Children and Adolescents

verfasst von: Jeannine von der Born, Sarah Baberowski, Nima Memaran, Lena Grams, Denise Homeyer, Bianca Borchert-Mörlins, Rizky Indrameikha Sugianto, Mira Paulsen, Elena Bauer, Carl Grabitz, Bernhard M. W. Schmidt, Arno Kerling, Philipp Beerbaum, Meike Stiesch, Uwe Tegtbur, Anette Melk

Erschienen in: Pediatric Cardiology | Ausgabe 7/2022

Abstract

Subclinical alterations in left ventricular structure and function are detectable in adolescents with hypertension or obesity. However, data on early echocardiographic abnormalities in seemingly healthy children are lacking. Sex differences in cardiac structure and function have been previously reported, but sex-specific reference values are not available. Specifically, the potential interaction of sex and overweight has not been addressed at all. Anthropometric data, blood pressure and exercise tests were obtained in 356 healthy children. Echocardiographic parameters comprised peak early (E) and late (A) mitral inflow Doppler velocities, E/ratio, tissue Doppler peak velocities of early (e′) and late diastolic (a′) excursion of mitral/septal annulus and isovolumetric relaxation time (IVRT). Left ventricular mass index (LVMI) and LVMI z-score were calculated. Interaction terms between BMI and sex and stratification by sex were used for analysis. We provide values for echocardiographic parameters for children of two age groups separated by BMI. Overweight/obese children had a significant higher LVMI, lower E/ratio, higher E/e′ ratios and a longer IVRT. For a given BMI in the upper ranges we demonstrated a higher LVMI in girls than in boys, the IVRT extended significantly more in girls than in boys with increasing BMI. There are sex differences in structural and functional echocardiographic parameters in children and adolescents. Our data not only confirms the importance of overweight and obesity, but demonstrates important interactions between sex and overweight. The greater susceptibility of overweight girls toward echocardiographic changes associated with potential long-term functional impairment needs further exploration and follow-up.
Trial registration number DRKS00012371; Date 18.08.2017.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1007/​s00246-022-02876-2.
Jeannine von der Born and Sarah Baberowski have contributed equally to this study.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
BMI
Body mass index
BMIz
Body mass index z-score
BP
Blood pressure
BSA
Body surface area
CVD
Cardiovascular disease
HDL
High-density lipoprotein cholesterol
LDL
Low-density lipoprotein cholesterol
A
Peak late mitral inflow Doppler velocities
a
Late diastolic annular myocardial velocity
E
Peak early mitral inflow Doppler velocities
e
Early diastolic annular myocardial velocity
EF
Ejection fraction
IVCT
Isovolumetric contraction time
IVRT
Isovolumetric relaxation time
IVSd
Interventricular end-diastolic septum thickness
LVEDd
Left ventricular end-diastolic dimension
LVEDdz
Left ventricular end-diastolic dimension z-score
LVM
Left ventricular mass
LVMz
Left ventricular mass z-score
LVMI
Left ventricular mass index
LVMIz
Left ventricular mass index z-score
LVPWd
Left ventricular end-diastolic posterior wall thickness
PV D-wave
Diastolic pulmonary venous flow velocity
PV S-wave
Systolic pulmonary venous flow velocity

Introduction

With the recognition of obesity as an important determinant of cardiac damage and remodeling, the early diagnosis of cardiac alterations in children is becoming more important especially in conjunction with the rise of childhood obesity. Early changes in left ventricular structure and function are already detected in adolescents with cardiovascular risk factors, like hypertension or adiposity [1]. Elevated LVMI [2], as well as indices of a lower ventricular compliance in overweight and obese children compared to their lean counterparts were described [3, 4]. Excessive obesity was linked to diastolic dysfunction in children, independent of comorbidities [5].
While the existing data suggest that these changes start very early in life, there is a lack of substantial data on early changes of echocardiographic parameters in children with obesity. The effect of sex has not been addressed to date; sex-specific reference values are not available. In light of different sex-specific phenotypes of cardiac disease in adulthood [6] differences between the sexes in childhood concerning cardiac function and structure should be taken into account. A recent paper investigated children with chronic kidney disease as a high risk group for cardiovascular comorbidities and demonstrated a higher susceptibility for girls toward higher LVMI especially when they were overweight [7]. While, in general, female sex is believed to be cardioprotective numerous studies have shown that in presence of special risk factors women become more susceptible. The situation in childhood, especially prior to puberty as well as a sex-specific influence of BMI on echocardiographic parameters has not been addressed at all.
The aim of our study was to describe structural and functional echocardiographic parameters in children and adolescents of two age groups separated by sex and BMI. Based on our data, we were able to characterize influencing factors associated with the measured parameters and can show that sex-specific differences occur in presence of the important CV risk factor overweight and obesity.

Methods

Study Design and Cohort

Three primary and two secondary schools were randomly chosen. All pupils from the 2nd grade, or 5th grade, respectively, were invited to participate in this cross-sectional prospective study from April to July 2017. Exclusion criteria included structural or congenital heart disease. All parents and children gave written informed consent before participation. The study was approved by the Institutional Review Board (No. 7290) and performed according to the Declaration of Helsinki.

Anthropometric, Blood Pressure and Physical Fitness Assessment

Height, weight and waist circumference were measured, waist-circumference z-score was calculated according to Sharma et al. [8]. Body surface area (BSA) was calculated according to Du Bois [9]. Body mass index z-score (BMIz) was calculated using WHO reference growth standards [10]. We separated our study group according to children’s BMIz in a group with a BMIz < 1.04 and in an overweight/obese group with a BMIz ≥ 1.04. Age was classified into a group of 7–9 and 10–13 year olds, enabling the comparison of echocardiographic parameters to the published reference values from Eidem et al. [11]. Blood pressure (BP) measurement was performed in accordance with current guidelines [12, 13]. In short, BP was measured in a seated position after 5 min of rest, three times on both arms, with at least a 2-min interval between measurements. We used the oscillometric Dinamap device (Dinamap v150; Fa. GE Medical Systems, Chicago, Illinois, USA). The mean was calculated from the second and third measurements, and normalized for sex, age, and height, expressed as z-score [12, 13]. Physical fitness was assessed by graded exercise tests on an ergometer bicycle (sitting position) according to a modified Godfrey protocol [14]. The workload was increased stepwise by 15 W at 1-min intervals. All subjects were encouraged to exercise until exhaustion (breathlessness and leg muscle pain and/or a heart rate ≥ 85% of maximum (calculated 220—age in years) [15].

Echocardiographic Measurements

Transthoracic echocardiography was performed by two uniformly trained investigators. Both were specialized on pediatric echocardiography and followed a standardized protocol using a PHILIPS CX 50 ultrasound machine (Philips Medical Systems, Bothell, USA) equipped with a 5 MHz transducer. Inter- and intra-observer variability was within the range formerly reported by Colan et al. [16]. A segmental analysis was performed to assure segmental anatomy and to exclude a congenital heart defect in accordance with the Guidelines of the American Society of Echocardiography [17].
Left and right ventricular end-diastolic wall thickness and end-diastolic dimensions were obtained from the parasternal short axis view at the level of the papillary muscles using M-mode. LVMI was defined as LV mass/ht2.16 as proposed by Chinali et al. [18]. LVM z-score (LVMz) according to height was calculated as described by Foster et al. [19], LVMIz-for-lean body mass (LBM) was calculated as proposed by Foster et al. [20], both methods of normalization were used for further analysis. Left ventricular end-diastolic dimension z-score (LVEDdz) was calculated according to Lopez et al. [21]. Ejection fraction was measured by the biplane modified Simpson method. For diastolic function pulsed Doppler measurements of mitral and tricuspid inflow (E-, A-wave) were performed in the apical four-chamber view, with the sample volume positioned between the tips of the mitral leaflets within ± 15° of the central volume stream, the E/ratio was calculated. The time intervals of isovolumetric relaxation time (IVRT) and isovolumetric contraction time (IVCT) were measured from the apical five chamber view using pulse-wave (PW) Doppler positioned to record left ventricular inflow and outflow tract simultaneously. To determine the IVRT, the time interval from the ending of the aortic flow to the beginning of the mitral inflow was measured. For the determination of IVCT, the time interval from the ending of the atrioventricular valve inflow to the beginning of the ventricular outflow was measured. For the further assessment of diastolic function the following PW Tissue Doppler parameters were obtained: peak velocities of early (e′) and late diastolic (a′) excursion of the lateral and septal mitral annulus as well as of the tricuspid annulus. IVRT, obtained by tissue Doppler, was measured from the end of the S-wave to beginning of the following e-wave. Pulmonary venous inflow (PV) was measured in an apical four-chamber view, with the PW sample volume placed as far as possible in the right upper pulmonary vein. The recordings comprised peak systolic velocity (S-wave) as well as peak diastolic velocity (D-wave). Five consecutive cardiac cycles were recorded from every approach. All parameters were measured five times, the median value was taken for further analysis. All measurements were performed by a single investigator. For any given structure, measurements were made only if excellent and unambiguous views were available. Thus, not all structures were measured in all patients.

Statistical Analysis

Our endpoints comprised different echocardiographic parameters (LVMI, LVMIz, mitral E/A ratio, mitral annular E/e′, septal annular E/e′, septal annular IVRT, tricuspid E/A ratio). Data are given as mean ± standard deviations (SD) or absolute and relative frequencies. Echocardiographic parameters were compared between age, sex and BMI categories. Differences in echocardiographic parameters between boys and girls were assessed using t test. Potential covariates were selected for each outcome variable based on prior knowledge. Backward linear regression modeling with a p value of 0.2 or less as selection criteria were performed. Linear regression models for LVMI, LVMz, LVMIz, septal annular IVRT and PV flow D-wave velocity including interaction term between BMI and sex as well as stratification by sex were performed to investigate the varying extent of risk factors on diastolic function and LVMI in boys and girls. A p-value of 0.05 was considered statistically significant. Statistical analyses were performed using SAS 9.4 (Statistical Analysis Software, Cary, North Carolina, USA).

Results

Clinical Characteristics of the Study Population

Of the 356 children initially examined, 351 (187 boys; 53%) were included in further analysis. Four children were excluded due to preexisting heart conditions. Two-hundred-two were 2nd grade (8.21 ± 0.52 years of age) and 149 were 5th grade pupils (11.41 ± 0.55 years of age). Both sexes were equally represented in both groups. Anthropometrics, demographical characteristics and clinical details are shown in Table 1. One-hundred-two children (29%) had a BMIz ≥ 1.04 and 55 (16%) had a BMIz ≥ 1.64. The prevalence of overweight children was similar between 2nd and 5th graders (27% vs. 32%; p = 0.2814), while the prevalence of obesity tended to be lower in 2nd grade children (13% vs. 19%; p = 0.0987). The mean BMIz was elevated in both age groups (2nd grade: 0.28; 5th grade: 0.45). The mean waist-circumference z-score increased with age (0.69 vs. 0.91).
Table 1
Characteristics of the study population
Variables
Total
Second grade
Fifth grade
p
MW
SD
N
MW
SD
N
MW
SD
N
Age (years)
9.58
1.67
351
8.21
0.52
202
11.41
0.55
149
 < 0.0001
Female sex
47% (164/351)
  
47% (95/202)
  
46% (69/149)
  
0.8481
Weight (kg)
36.83
12.34
351
30.21
6.87
202
45.80
12.45
149
 < 0.0001
Height (cm)
139.82
11.55
351
132.04
6.45
202
150.36
8.03
149
 < 0.0001
BMI (kg/m2)
18.40
3.85
351
17.19
2.97
202
20.04
4.29
149
 < 0.0001
BMI z-score
0.36
1.12
351
0.28
1.09
202
0.45
1.15
149
0.1583
Overweight (BMI z-score ≥ 1.04)
29% (102/351)
  
27% (54/202)
  
32% (48/149)
  
0.2814
Obese (BMI z-score ≥ 1.64)
16% (55/351)
  
13% (26/202)
  
19% (29/149)
  
0.0987
Waist circumference (cm)
70.35
11.91
351
65.28
8.56
202
77.21
12.40
149
 < 0.0001
Waist circumference z-score
0.78
0.84
351
0.69
0.84
202
0.91
0.83
149
0.0136
Systolic BP (mmHg)
104.04
8.21
351
102.07
7.67
202
106.71
8.20
149
 < 0.0001
Systolic BP z-score
0.30
0.74
351
0.35
0.71
202
0.24
0.77
149
0.1653
Systolic BP z-score ≥ 1.282
35 (10%)
  
19 (9%)
  
16 (11%)
  
0.6805
Systolic BP z-score ≥ 1.64
12 (3%)
  
7 (3%)
  
5 (3%)
  
0.9554
Diastolic BP (mmHg)
60.80
5.64
351
59.60
5.35
202
62.42
5.62
149
 < .0001
Diastolic BP z-score
0.05
0.49
351
0.06
0.47
202
0.04
0.52
149
0.7223
Diastolic BP z-score ≥ 1.282
5 (1%)
  
2 (1%)
  
3 (2%)
  
0.4239
Diastolic BP z-score ≥ 1.64
1 (0%)
  
1 (1%)
  
0 (0%)
  
0.9555
Physical fitness (W/kg)
3.07
0.68
337
3.09
0.69
196
3.04
0.66
141
0.5149
Cholesterol (mg/dl)
169.38
28.31
274
167.90
27.58
157
171.36
29.26
117
0.3177
HDL (mg/dl)
57.41
12.18
273
57.87
12.14
156
56.81
12.25
117
0.4804
LDL (mg/dl)
97.11
24.03
273
94.33
21.06
156
100.80
27.15
117
0.0335
Triglycerides (mg/dl)
81.48
44.93
274
75.05
41.16
157
90.10
48.39
117
0.0059
Biparental migration
47% (165/351)
  
46% (93/202)
  
48% (72/149)
  
0.6254
BMI body mass index, BP blood pressure, HDL high density lipoprotein, LDL low density lipoprotein

Echocardiographic Findings of the Study Group

We present our data according to children’s BMIz (< 1.04 and ≥ 1.04) and in comparison to the current reference values published by Eidem et al. [11] (Table 2; Fig. 1). Statistically significant differences between children and adolescents with a BMIz ≥ 1.04 compared to those with BMIz below 1.04 were found for several structural and functional parameters. Left ventricular end-diastolic diameter z-score (LVEDdz) and LVMI [13] were significantly higher in overweight and obese children (p =  < 0.0001 and < 0.0001). Furthermore, several diastolic parameters were out of the normal range. While we cannot compare our values with those of the reference studies statistically [11], one can appreciate that for most values the exclusion of overweight and obese children resulted in more favorable values regarding function and morphology. According to the published reference data from Eidem et al., the number of out of range values are presented in Table 2. We only report those cases, in which the measurement pointed toward a potential unfavorable abnormality concerning diastolic function. The comparison of girls and boys revealed significant differences for the mitral and tricuspid E/ratio as well as for the systolic PV flow (Supplementary Table S1).
Table 2
Echocardiographic Parameters compared to normal values from Eidem et al. [11]
Variables
7–9 Years
10–13 Years
BMI z-score < 1.04
Out of rangeA
BMI z-score ≥ 1.04
Out of rangeA
Eidem
BMI z-score < 1.04
Out of rangeA
BMI z-score ≥ 1.04
Out of rangeA
Eidem
 
N = 143
 
N = 53
 
N = 55
N = 101
 
N = 46
 
N = 55
Weight (kg)*#
26.9 ± 3.6 (17.3–38.7)
 
39.2 ± 5.4 (28.1–53.7)
 
33.8 ± 14.9
39.2 ± 7.1 (24.1–58.6)
 
59.4 ± 10.4 (40.6–80.4)
 
47.2 ± 16.3
BSA (m2)*#
0.99 ± 0.09 (0.73–1.26)
 
1.21 ± 0.1 (0.99–1.49)
 
1.07 ± 0.27
1.27 ± 0.14 (0.93–1.66)
 
1.58 ± 0.17 (1.17–1.9)
 
1.37 ± 0.29
Age (years)*
8.2 ± 0.5 (7.1–9.8)
 
8.3 ± 0.5 (7.6–9.3)
 
7.91 ± 1.12
11.4 ± 0.6 (10.2–13.5)
 
11.4 ± 0.5 (10.6–12.4)
 
11.99 ± 1.11
Male
78 (53%)
 
29 (54%)
 
49%
57 (56%)
 
23 (48%)
 
69%
Heart rate (bpm)
78 ± 10 (56–105)
 
79 ± 11 (50–102)
 
 80 ± 11
 76 ± 11 (52–116)
 
 79 ± 11 (59–109)
 
 75 ± 12
Left ventricle
N = 142
 
N = 41
 
N = 55
N = 88
 
N = 32
 
N = 55
Mitral E velocity (cm/s)
102.8 ± 11.2 (76.2–133)
3 (2%)
104.3 ± 14.3 (75.6–139)
2 (4%)
94.4 ± 14.8
98 ± 13.8 (69–145)
9 (9%)
98.5 ± 16.1 (73.8–142)
5 (11%)
94.5 ± 16.0
Mitral A velocity (cm/s)*#
49.9 ± 9.3 (32.7–86.4)
14 (10%)
56.8 ± 11.9 (34.8–87)
16 (32%)
49.4 ± 12.5
51.5 ± 10.1 (32.4–78.6)
16 (16%)
57.4 ± 9.1 (43.8–81.3)
11 (24%)
49.5 ± 13.8
Mitral E/A ratio *#
2.1 ± 0.4 (1.2–3.3)
7 (5%)
1.9 ± 0.4 (1.2–2.7)
10 (20%)
2.0 ± 0.51
2.0 ± 0.4 (1.2–3.1)
7 (7%)
1.7 ± 0.3 (1.2–2.6)
10 (22%)
2.02 ± 0.58
IVRT (PW)*
52 ± 8.2 (36–76)
 
55.4 ± 6.8 (40–67)
  
57.3 ± 8.4 (40–76)
 
56.2 ± 7.2 (40–74)
  
IVCT (PW)*
68.3 ± 12.4 (44–108)
 
64.1 ± 7.7 (49–84)
  
70.3 ± 10.1 (49–103)
 
69.8 ± 12.5 (49–105)
  
Tissue Doppler imaging
N = 125
 
N = 49
 
N = 55
N = 97
 
N = 41
 
N = 55
Mitral annular e′-wave velocity*
20.3 ± 2.7 (12.9–27.4)
2 (1%)
19.3 ± 3 (13.3–27.1)
1 (2%)
17.2 ± 3.7
19.7 ± 2.8 (12.3–27.8)
10 (10%)
19 ± 3.1 (11.9–28.4)
11 (25%)
19.6 ± 3.4
Mitral annular a′-wave velocity*
6.5 ± 1.5 (4.1–13.4)
12 (9%)
7.5 ± 1.7 (4.2–12.1)
11 (21%)
6.7 ± 1.9
6.4 ± 1.5 (3.5–12.4)
8 (8%)
6.4 ± 1.5 (3–9.5)
7 (16%)
6.4 ± 1.8
Mitral annular E/e′*
5.1 ± 0.8 (3.4–7.2)
0 (0%)
5.5 ± 1 (3.2–7.5)
0 (0%)
5.8 ± 1.9
5 ± 0.9 (3.4–10.5)
8 (8%)
5.3 ± 1.2 (3.4–9.3)
7 (16%)
4.9 ± 1.3
Mitral annular IVRT
52.6 ± 8 (38–76.5)
1 (1%)
53.1 ± 7.2 (38–74)
0 (0%)
62.9 ± 11.9
57.5 ± 9.9 (38–85)
2 (2%)
55.4 ± 9.5 (40–72)
0 (0%)
62.6 ± 12.4
Septal annular e′-wave velocity*#
14.4 ± 1.8 (8.5–18.5)
10 (7%)
13.6 ± 1.7 (11–18.1)
3 (6%)
13.4 ± 1.9
13.3 ± 1.9 (8–18.3)
24 (24%)
12.1 ± 1.8 (7.4–17.3)
16 (36%)
14.5 ± 2.6
Septal annular a′-wave velocity*#
6.3 ± 1.2 (4.2–11.4)
35 (24%)
6.8 ± 1 (4.7–9.3)
18 (35%)
5.9 ± 1.3
5.8 ± 1.1 (3.6–10.1)
3 (3%)
6.3 ± 1 (4.3–8.9)
1 (2%)
6.1 ± 2.3
Septal annular E/e′*#
7.3 ± 1.1 (5.2–12.2)
13 (9%)
7.8 ± 1.3 (5.6–11.7)
12 (23%)
7.2 ± 1.6
7.5 ± 1.4 (4.4–13.5)
32 (32%)
8.3 ± 1.7 (5–12.8)
23 (51%)
6.6 ± 1.4
Septal annular IVRT*#
55.7 ± 8.7 (38–76)
0 (0%)
59.0 ± 8.9 (40–76)
0 (0%)
65.6 ± 10.7
64.2 ± 10.5 (45–90)
7 (7%)
68 ± 11.1 (45–90)
4 (9%)
72.5 ± 12.3
Right ventricle
N = 134
 
N = 46
 
N = 55
N = 95
 
N = 44
 
N = 55
Tricuspid E velocity (cm/s)
59.4 ± 7.7 (41.3–76.8)
7 (5%)
61 ± 8.7 (43.8–90)
1 (2%)
60.5 ± 13.9
61.1 ± 9.5 (39.4–90)
4 (4%)
59.8 ± 10.9 (36–100.5)
4 (9%)
59.6 ± 11.4
Tricuspid A velocity (cm/s)
38.4 ± 8 (21.4–67.2)
0 (0%)
40.4 ± 9 (24.5–60.6)
0 (0%)
42.4 ± 10.8
40 ± 9.4 (20.3–70)
0 (0%)
43.3 ± 9.1 (30–68)
0 (0%)
39.2 ± 11.3
Tricuspid E/A ratio#
1.61 ± 0.34 (0.88–2.67)
5 (4%)
1.57 ± 0.34 (1.07–2.83)
1 (2%)
1.49 ± 0.40
1.59 ± 0.36 (0.85–2.57)
5 (5%)
1.40 ± 0.26 (0.62–2.20)
6 (14%)
1.61 ± 0.47
Tissue Doppler imaging
N = 131
 
N = 44
 
N = 55
N = 92
 
N = 37
 
N = 55
Tricuspid annular e′-wave velocity*
16.2 ± 2.3 (10.6–23.3)
13 (9%)
14.8 ± 2.5 (10.5–20)
17 (34%)
16.5 ± 3.0
14.3 ± 3.2 (6–23.9)
40 (41%)
13.8 ± 2.5 (9–21)
14 (38%)
16.5 ± 3.1
Tricuspid annular a′-wave velocity
8.8 ± 2.2 (4.6–15.6)
0 (0%)
9.1 ± 2.3 (5.1–17.1)
0 (0%)
9.8 ± 2.7
8.6 ± 2.6 (4.4–17.5)
0 (0%)
9.2 ± 2.1 (6–16)
0 (0%)
10.3 ± 3.4
Tricuspid annular E/e′*
3.7 ± 0.7 (2.5–5.9)
0 (0%)
4.2 ± 0.7 (3–5.4)
0 (0%)
3.6 ± 0.8
4.5 ± 1.5 (2.8–13)
0 (0%)
4.4 ± 1 (2.6–7.3)
0 (0%)
3.5 ± 1.4
PV S-wave*
52.6 ± 8.1 (32.4–74.4)
0 (0%)
57.1 ± 8.9 (41.3–85.5)
0 (0%)
50.7 ± 11.3
49.8 ± 8.7 (32–79.4)
0 (0%)
51.4 ± 7.6 (35–72.5)
0 (0%)
49.0 ± 11.1
PV D-wave
67.7 ± 8.6 (34.8–87)
1 (1%)
66.6 ± 8.7 (42.8–81.6)
0 (0%)
53.3 ± 11.4
66.8 ± 9 (47.4–99)
0 (0%)
66.1 ± 5.9 (53.7–77.6)
0 (0%)
58.4 ± 12.1
EF Simpson biplane*
68 ± 2.9 (57.3–75.6)
 
66.6 ± 3.2 (57–73.2)
  
68.2 ± 3.5 (56.8–78)
 
69 ± 3.2 (62.8–76.5)
  
M-mode
N = 134
 
N = 47
  
N = 95
 
N = 40
  
IVSd*#
0.58 ± 0.07 (0.43–0.77)
 
0.64 ± 0.08 (0.51–0.88)
  
0.65 ± 0.09 (0.48–0.9)
 
0.72 ± 0.09 (0.57–0.9)
  
LVEDd*#
3.86 ± 0.27 (3.11–4.74)
 
3.98 ± 0.28 (3.51–4.71)
  
4.14 ± 0.36 (3.38–5.08)
 
4.37 ± 0.39 (3.7–5.67)
  
LVEDdz*#
0.01 ± 0.75 (− 2.31 to 2.19)
 
 − 0.76 ± 0.68 (− 2.03 to 1.12)
  
 − 0.48 ± 0.77 (− 2.14 to 1.78)
 
 − 1.03 ± 0.91 (− 3.06 to 1.86)
  
LVPWd*#
0.58 ± 0.07 (0.4–0.79)
 
0.63 ± 0.08 (0.44–0.81)
  
0.62 ± 0.09 (0.4–0.9)
 
0.7 ± 0.1 (0.56–1)
  
LVMI (g/m2.16)*#
30.9 ± 5.2 (17.1–47.3)
 
34 ± 5.9 (24.7–52.1)
  
30 ± 5.7 (17.8–45.5)
 
35.9 ± 6.1 (25.8–50.6)
  
LVMI (g/m2.7)*#
27 ± 4.6 (14.7–40.9)
 
29 ± 4.9 (21.2–43.3)
  
24.4 ± 4.4 (14.7–37.1)
 
28.7 ± 4.7 (20–40.2)
  
LVMz*#
 − 1.48 ± 0.95 (− 5.03 to 0.9)
 
 − 0.98 ± 0.89 (− 2.7 to 1.27)
  
 − 1.95 ± 1.15 (− 5.11 to 0.53)
 
 − 0.95 ± 0.9 (− 3.18 to 0.84)
  
BSA body surface area, E peak early mitral inflow Doppler velocities, A peak late mitral inflow Doppler velocities, e′ early diastolic annular myocardial velocity, a′ late diastolic annular myocardial velocity, IVRT isovolumetric relaxation time, IVCT isovolumetric contraction time, PV S-wave pulmonary venous flow velocity systolic, PV D-wave pulmonary venous flow velocity diastolic, EF ejection fraction, IVSd interventricular septal thickness end-diastolic, LVEDd left ventricular end-diastolic dimension, LVEDdz left ventricular end-diastolic dimension z-score, LVPWd left ventricular posterior wall dimension end-diastolic, LVMI left ventricular mass indexed for height2.16, LVMz left ventricular mass z-score adjusted for height
*Significant differences in the group of 7–9 year olds, #significant differences in the group of 10–13 year olds
ANumber of patients in which the measurement pointed toward a potential unfavorable abnormality (± 1 SD compared to Eidem et al.) concerning diastolic function
In the following, we will highlight particular morphological and functional aspects of the cohort.

Left Ventricular Mass Index (LVMI)

As indicated above, higher BMI z-scores were associated with increases in LVMI (p < 0.001, Fig. 2). To explore which other factors contributed to a higher LVMI, we performed a multivariable linear regression analysis (Table 3). In addition to BMI, we found that sex, age and physical fitness were independent predictors of a higher LVMI. Importantly, we could not find an association between LVMI and systolic or diastolic BP in our cohort of healthy school children.
Table 3
Standardized models for the endpoints of different echocardiographic parameters
LVMI
LVMz
 
β
SD
p
 
β
SD
p
Intercept
32.466
0.8696
0.0007
Intercept
 − 1.3483
0.1527
0.0126
Girls
 − 21.0763
5.1787
 < 0.0001
Girls
 − 4.2042
0.9497
 < 0.0001
Boys
0
  
Boys
0
  
Age
 − 19.8192
5.6944
0.0006
Age
 − 5.9264
1.0495
 < 0.0001
BMI
60.0535
7.1486
 < 0.0001
BMI
10.9623
1.367
 < 0.0001
Physical fitness
20.8346
6.9082
0.0028
Physical fitness
3.6986
1.2615
0.0036
    
Systolic BP right arm
 − 1.4964
1.0137
0.1409
Mitral E/A ratio
Mitral annular E/e
 
β
SD
p
 
β
SD
p
Intercept
2.0144
0.04536
0.0005
Intercept
5.1167
0.105
0.0004
Girls
 − 0.8167
0.3862
0.0352
Girls
 − 1.1741
0.9041
0.195
Boys
0
  
Boys
0
  
Age
 − 0.6634
0.4343
0.1276
Age
 − 2.0024
1.0048
0.0471
BMI
 − 1.4953
0.4231
0.0005
BMI
3.199
0.9763
0.0012
Diastolic BP right arm
 − 1.0966
0.4029
0.0069
    
Septal annular E/e
Septal annular IVRT
 
β
SD
p
 
β
SD
p
Intercept
7.6456
0.1711
0.0005
Intercept
60.5364
2.338
0.0015
Girls
 − 1.6997
1.3082
0.1948
Girls
6.0434
9.2896
0.5158
Boys
0
  
Boys
0
  
Age
0.786
1.4675
0.5926
Age
34.0376
10.5477
0.0014
BMI
5.4841
1.4157
0.0001
BMI
36.3556
9.9999
0.0003
    
Diastolic BP right arm
29.1607
9.5348
0.0024
    
Heart rate
 − 46.9614
9.343
 < .0001
Tricuspid E/A ratio
PV D-wave
 
β
SD
p
 
β
SD
p
Intercept
1.6628
0.09019
0.0029
Intercept
67.0637
0.4690
 < 0.0001
Girls
 − 0.5104
0.3263
0.1188
Girls
 − 18.5681
8.8170
0.0360
Boys
0
  
Boys
0
  
Age
 − 0.2558
0.377
0.4979
Age
1.6547
9.3987
0.8604
BMI
 − 0.9516
0.355
0.0077
BMI
 − 20.6708
11.9846
0.0855
    
Physical fitness
 − 12.3673
11.5314
0.2843
LVMI left ventricular mass indexed for height2.16, LVMz left ventricular mass z-score adjusted for height, E peak early mitral inflow Doppler velocities, A peak late mitral inflow Doppler velocities, e′ early diastolic annular myocardial velocity, IVRT isovolumetric relaxation time, PV D-wave pulmonary venous flow velocity diastolic
We further explored sex differences and found higher LVMI in boys than in girls for children with a BMIz < 1.04 (p < 0.0001), but this difference was no longer observed in overweight and obese children (p = 0.096, Fig. 3). We performed a sex stratified analysis to investigate how changes in BMI affect LVMI in each sex (Table 4). Our results support the observation that girls and boys with higher BMI values have comparable absolute LVMI values. We show that, e.g., at a BMI value of 30 kg/m2 girls are expected to have an estimated LVMI of 37.9 g/m2 whereas boys will have 39.5 g/m2. This convergence at higher BMI values is the result of a greater increase in LVMI for a given BMI change. Per 1 kg/m2 BMI increase LVMI increases by 0.5272 g/m2.16 in boys, whereas by 0.7336 g/m2.16 in girls.
Table 4
Interaction terms between sex and BMI as well as stratification by sex
 
LVMI
 
LVMz
β
SD
p
β
SD
p
Intercept
27.7298
2.4435
0.0077
Intercept
 − 1.1683
0.4406
0.1177
Age
 − 0.544
0.1867
0.0038
Age
 − 0.1854
0.03379
 < 0.0001
Girls
 − 6.3765
2.7264
0.0199
Girls
 − 1.2689
0.4941
0.0107
Boys
0
  
Boys
0
  
BMI
0.6236
0.1076
 < 0.0001
BMI
0.1014
0.0195
 < 0.0001
BMI * Girls
0.1794
0.1456
0.2187
BMI * Girls
0.03799
0.02638
0.1508
BMI * Boys
0
  
BMI * Boys
0
  
Intercept
24.5598
2.3497
0.009
Intercept
 − 2.3085
0.4236
0.0321
BMI * Boys
0.5272
0.1109
 < 0.0001
BMI * Boys
0.07035
0.01923
0.0003
Intercept
16.8644
1.9312
0.0129
Intercept
 − 3.8709
0.4164
0.0114
BMI * Girls
0.7336
0.09871
 < 0.0001
BMI * Girls
0.1173
0.02042
 < 0.0001
 
Septal annular IVRT
 
PV D-wave
β
SD
p
β
SD
p
Intercept
41.8147
4.8547
0.0132
Intercept
66.6673
3.6558
0.003
Age
1.5155
0.3518
 < 0.0001
Age
 − 0.04501
0.2947
0.8787
Girls
 − 10.6783
5.0561
0.0354
Girls
8.1222
4.4779
0.0706
Boys
0
  
Boys
0
  
BMI
0.2529
0.1997
0.2064
BMI
0.09589
0.1739
0.5817
BMI * Girls
0.5525
0.2698
0.0414
BMI * Girls
 − 0.54
0.2378
0.0238
BMI * Boys
0
  
BMI * Boys
0
  
Intercept
52.5448
5.2389
0.0098
Intercept
66.3696
3.0802
0.0021
BMI * Boys
0.4507
0.2031
0.0278
BMI * Boys
0.08843
0.1662
0.5953
Intercept
40.884
4.3985
0.0114
Intercept
74.5022
3.2425
0.0019
BMI * Girls
1.0609
0.1989
 < 0.0001
BMI * Girls
 − 0.4517
0.1697
0.0086
LVMI left ventricular mass indexed for height2.16, LVMz left ventricular mass z-score adjusted for height, IVRT isovolumetric relaxation time, PV D-wave pulmonary venous flow velocity diastolic
We also calculated LVMIz [20], expressing LV mass relative to LBM, meant as sensitivity analysis. Similar to our calculations based on LVMI by Chinali et al., we only saw very few children with LV hypertrophy. Using LBM normalized values we did not expect to see an effect of BMI. However, we confirmed our previous observation that higher BMI values were associated with smaller increases in LVM in boys (boys: β =  − 0.033, p = 0.045; girls: β =  − 0.005, p = 0.72) (Supplementary Table S2).

Left Ventricular Diastolic Function

As indicated above overweight and obese children also tended to have more unfavorable echocardiographic diastolic parameters than children with BMIz < 1.04. Early mitral and tricuspid inflow velocities (E) were similar between the groups, but both mitral and tricuspid A-wave velocities were increased, resulting in a decreased E/A ratio. The values for the E/e′ ratio (septal and mitral annular) were higher in overweight and obese children and the IVRT measured at the septal annulus was significant longer. The effect of increasing BMIz is also highlighted in Fig. 1.
Multivariable linear regression analysis was used to further explore contributing factors for the selected diastolic parameters (Table 3). The E/ratio of the mitral valve was independently associated with sex, BMI and diastolic BP. Girls showed a significant lower E/ratio compared to boys while age had no effect. Interestingly higher BMI was associated with an increase in the A-wave, while the E-wave essentially was left unchanged. E/e′ ratio (either septal or mitral) were only predicted by BMI without a contribution of sex and age. IVRT was independently associated with age, BMI and diastolic BP, while heart rate was inversely related.
We assumed again an interaction with sex. By creating an interaction term (Table 4; Fig. 4a), we demonstrated a significantly higher increase for IVRT in girls for a given BMI. Sex stratified regression models showed how BMI affect IVRT in boys and girls differently. We found a prolonged IVRT of 0.5525 ms for a given BMI in girls compared to boys. The stratified regression analysis demonstrated that a BMI increase of 1 kg/m2 was associated with an IVRT increase of 0.4507 ms in boys (p = 0.028), while in girls IVRT extended significantly more with 1.0609 ms (p < 0.001).
Interestingly this phenomenon was also found in the association between reduction of diastolic PV flow and BMI, in which girls showed a reduction of 0.54 m/s with a BMI increase of 1 kg/m2 compared to boys. The sex stratified regression model confirmed a reduced diastolic PV flow with increasing BMI in girls (Fig. 4b; Table 4).

Discussion

This cross-sectional study on echocardiographic changes in a large cohort of apparently healthy German school children significantly extends the available data currently used to assess morphological and functional cardiac aspects. We provide values for many parameters used in daily clinical assessment for two age groups separated by children’s BMI. We show significant structural (LVMI) and functional (A-wave velocities, E/ratio, pulmonary flow velocities) differences between girls and boys. Our data confirm the importance of overweight and obesity for many of the parameters used in routine work-up of patients. We extend current data by showing a greater effect of overweight and obesity on different echocardiographic parameters in girls.

Sex Differences

Sex differences in LVMI as an important structural parameter have been repeatedly reported [22]. However, information about sex-related differences in diastolic echocardiographic parameters in children is scarce most likely due to the limited number of cases available in earlier reference studies [23, 24]. Values for several echocardiographic parameters measured in girls from our study were found in the respective upper or lower ranges of normality, indicating a real biological difference between the sexes. Apart from those physiological differences, we demonstrate that in girls the same BMI increase resulted in a greater increase in LVMI as well as a greater increase in IVRT and diastolic PV flow compared to boys. These findings suggest that there are sex-related negative effects of being overweight or obese on mass as well as compliance of the left ventricle with increasing BMI. We therefore assume a higher susceptibility toward cardiac changes in presence of increasing BMI as an important cardiovascular risk factor in girls compared to boys. Our findings in these otherwise healthy but overweight children are in accordance with data from a large cohort of children with chronic kidney disease, in whom a stronger association of obesity with LVMIz and LVH was demonstrated among girls compared to boys [7]. A greater vulnerability of girls upon cardiovascular stresses had been demonstrated in older girls after renal transplantation that displayed higher BP values when exposed to an additional risk, i.e., higher trough levels for cyclosporine A [25]. Further support comes from recent adult data. The protective effect of female sex on CV health is lost in presence of additional comorbidities and stresses (such as type 2 diabetes, hypertension, hypercholesterinaemia, sedentary lifestyle, mental stress) [2628].
While peripubertal and perimenopausal differences point toward a hormonal cause for CVD risk [29], our data suggest that risk factors earlier in life must be taken into account, as most of our study population had not reached puberty yet. A possible explanation for our findings is a significantly higher adipose mass in females than in males for each BMI category, as described by De Simone et al. [30] and for pediatric age by Taylor et al. [31]. Adipose tissue is considered to be a metabolic highly active tissue and a large endocrine organ [32] expressing several hormones, growth factors and cytokines [33, 34]. It has been shown that especially in women adiposity and inflammation pathways are highly relevant in the development of CVD [35]. Lau et al. [36] demonstrated sex differences in circulating biomarkers, with significant higher levels of leptin and ceruloplasmin in women than in men. For leptin levels, there were found associations with diastolic function (E/e′) in adults, after adjusting for age, sex and BMI [37]. Higher ceruloplasmin levels were associated with heart failure and were weakly associated with CVD [38]. Unfortunately we do not have information on leptin, ceruloplasmin or other factors derived from adipose tissue of our cohort. Notably, a correlation of high-sensitive C-reactive protein with echocardiographic parameters was not found.

Impact of Obesity

The importance of obesity for the different echocardiographic parameters has been controversially discussed especially concerning echocardiographic parameters of diastolic function. But in nearly all studies, indices of LV mass were greater in overweight and obese than in normal weight children or adolescents [3942]. It should be noted that, the prevalence of left ventricular hypertrophy in overweight children varies dependent of the method used for normalization [43]. Children in our study showed a higher LVMI and LVMz with increasing BMI, which is in agreement with previous pediatric studies, describing a correlation between BMI and LVMI [4, 5, 39, 4447]. In agreement with recent results from larger cohorts of children [41] the influence of BP, often discussed as possible reason for a higher LVMI in overweight children [4], could not be confirmed in our cohort.
In adulthood early subclinical changes of diastolic parameters are very sensitive indicators for disturbances of myocardial energy metabolism [48]. It is known that, overweight and obesity lead to energetic abnormalities and insufficient energy supply of the myocardium [49], but the evaluation of diastolic function is still a very complex field of science. Our data on lower LV compliance in case of overweight and obesity resemble data from larger studies [5]. Di Salvo et al. investigated 150 obese children and adolescents and showed a significant higher E/e′ ratio as well as a longer IVRT in these subjects in comparison to a control group [50]. Dhuper et al. presented a higher E/e′ ratio and lower mitral E/ratio in 213 obese children, while subjects with hypertension were not excluded and the effect of obesity solely could not be rated [46]. While some smaller studies could not show any differences between overweight and normal weight [44], others did but with heterogeneous results for the different parameters describing diastolic function [4, 5, 40]. Especially a difference in E/e′ and E/ratio could be observed in several studies [4, 39, 46, 51]. A possible explanation for these partly contradicting results may be that in presence of chronic volume overload—as assumed in overweight and obesity—only minimal changes in tissue Doppler velocities can be expected [52]. Studies with rather smaller sample sizes might have had not enough power to show significant differences in all the parameters.
Our findings suggest that changes in cardiac structure start early in life and occur at much lower BMIz level than expected. This implicates an urgent need for an effective obesity prevention in children and adolescents, with a special focus on obesity-related cardiac alterations in girls.

Study Limitations

Potential limitation of the current study is the lack of information about the pubertal status of our study participants. Since sex-specific hormone levels play a significant role for cardiovascular health in adults, a closer investigation of pubertal status would have been favorable. This cross-sectional study design does not provide information about the potential progression of the described cardiac alterations in adulthood or potential reversibility. So the clinical significance of these findings remains unknown and will require longitudinal follow-up over several years to determine their predictive value. LVMI and left ventricular diastolic function were probably also influenced by other factors that could not be examined, e.g. hyperinsulinemia or leptin levels.

Conclusion

There are significant structural and functional sex differences in a number of echocardiographic parameters in children and adolescents. Our data confirm the importance of overweight and obesity for many of the parameters used in routine work-up of patients with changes in myocardial structure and function, indicating an early onset of potentially unfavorable alterations in the myocardium. We demonstrate a higher susceptibility of girls by showing a negative effect of being overweight or obese on different echocardiographic parameters in girls. Further studies are needed to explore how the knowledge on sex-specific risk factors can be implemented in current risk management strategies to maximize benefit especially for girls.

Declarations

Conflict of interest

The authors have no conflicts of interest to declare.

Ethical Approval

The study was approved by the Institutional Review Board (No. 7290) and performed according to the Declaration of Helsinki.
All parents and children gave their written informed consent before participation.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Unsere Produktempfehlungen

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

e.Med Pädiatrie

Kombi-Abonnement

Mit e.Med Pädiatrie erhalten Sie Zugang zu CME-Fortbildungen des Fachgebietes Pädiatrie, den Premium-Inhalten der pädiatrischen Fachzeitschriften, inklusive einer gedruckten Pädiatrie-Zeitschrift Ihrer Wahl.

e.Med Innere Medizin

Kombi-Abonnement

Mit e.Med Innere Medizin erhalten Sie Zugang zu CME-Fortbildungen des Fachgebietes Innere Medizin, den Premium-Inhalten der internistischen Fachzeitschriften, inklusive einer gedruckten internistischen Zeitschrift Ihrer Wahl.

Anhänge

Supplementary Information

Below is the link to the electronic supplementary material.
Literatur
1.
Zurück zum Zitat Tran AH, Flynn JT, Becker RC, Daniels SR, Falkner BE, Ferguson M, Hanevold CD, Hooper SR, Ingelfinger JR, Lande MB, Martin LJ, Meyers K, Mitsnefes M, Rosner B, Samuels JA, Urbina EM (2020) Subclinical systolic and diastolic dysfunction is evident in youth with elevated blood pressure. Hypertension 75:1551–1556PubMedCrossRef Tran AH, Flynn JT, Becker RC, Daniels SR, Falkner BE, Ferguson M, Hanevold CD, Hooper SR, Ingelfinger JR, Lande MB, Martin LJ, Meyers K, Mitsnefes M, Rosner B, Samuels JA, Urbina EM (2020) Subclinical systolic and diastolic dysfunction is evident in youth with elevated blood pressure. Hypertension 75:1551–1556PubMedCrossRef
2.
Zurück zum Zitat Di BP, Capaldo B, Forziato C, Sanguigno E, Di FT, Scilla C, Cavuto L, Saitta F, Sibilio G, Moio N (2008) Central adiposity and left ventricular mass in obese children. Nutr Metab Cardiovasc Dis 18:613–617CrossRef Di BP, Capaldo B, Forziato C, Sanguigno E, Di FT, Scilla C, Cavuto L, Saitta F, Sibilio G, Moio N (2008) Central adiposity and left ventricular mass in obese children. Nutr Metab Cardiovasc Dis 18:613–617CrossRef
3.
Zurück zum Zitat Koopman LP, McCrindle BW, Slorach C, Chahal N, Hui W, Sarkola T, Manlhiot C, Jaeggi ET, Bradley TJ, Mertens L (2012) Interaction between myocardial and vascular changes in obese children: a pilot study. J Am Soc Echocardiogr 25:401-410.e401PubMedCrossRef Koopman LP, McCrindle BW, Slorach C, Chahal N, Hui W, Sarkola T, Manlhiot C, Jaeggi ET, Bradley TJ, Mertens L (2012) Interaction between myocardial and vascular changes in obese children: a pilot study. J Am Soc Echocardiogr 25:401-410.e401PubMedCrossRef
4.
Zurück zum Zitat Mangner N, Scheuermann K, Winzer E, Wagner I, Hoellriegel R, Sandri M, Zimmer M, Mende M, Linke A, Kiess W, Schuler G, Korner A, Erbs S (2014) Childhood obesity: impact on cardiac geometry and function. JACC Cardiovasc Imaging 7:1198–1205PubMedCrossRef Mangner N, Scheuermann K, Winzer E, Wagner I, Hoellriegel R, Sandri M, Zimmer M, Mende M, Linke A, Kiess W, Schuler G, Korner A, Erbs S (2014) Childhood obesity: impact on cardiac geometry and function. JACC Cardiovasc Imaging 7:1198–1205PubMedCrossRef
5.
Zurück zum Zitat Cote AT, Harris KC, Panagiotopoulos C, Sandor GG, Devlin AM (2013) Childhood obesity and cardiovascular dysfunction. J Am Coll Cardiol 62:1309–1319PubMedCrossRef Cote AT, Harris KC, Panagiotopoulos C, Sandor GG, Devlin AM (2013) Childhood obesity and cardiovascular dysfunction. J Am Coll Cardiol 62:1309–1319PubMedCrossRef
6.
Zurück zum Zitat Masoudi FA, Havranek EP, Smith G, Fish RH, Steiner JF, Ordin DL, Krumholz HM (2003) Gender, age, and heart failure with preserved left ventricular systolic function. J Am Coll Cardiol 41:217–223PubMedCrossRef Masoudi FA, Havranek EP, Smith G, Fish RH, Steiner JF, Ordin DL, Krumholz HM (2003) Gender, age, and heart failure with preserved left ventricular systolic function. J Am Coll Cardiol 41:217–223PubMedCrossRef
7.
Zurück zum Zitat Brady TM, Roem J, Cox C, Schneider MF, Wilson AC, Furth SL, Warady BA, Mitsnefes M (2020) Adiposity, sex, and cardiovascular disease risk in children with CKD: a longitudinal study of youth enrolled in the Chronic Kidney Disease in Children (CKiD) Study. Am J Kidney Dis 76:166–173PubMedPubMedCentralCrossRef Brady TM, Roem J, Cox C, Schneider MF, Wilson AC, Furth SL, Warady BA, Mitsnefes M (2020) Adiposity, sex, and cardiovascular disease risk in children with CKD: a longitudinal study of youth enrolled in the Chronic Kidney Disease in Children (CKiD) Study. Am J Kidney Dis 76:166–173PubMedPubMedCentralCrossRef
8.
Zurück zum Zitat Sharma AK, Metzger DL, Daymont C, Hadjiyannakis S, Rodd CJ (2015) LMS tables for waist-circumference and waist-height ratio Z-scores in children aged 5–19 y in NHANES III: association with cardio-metabolic risks. Pediatr Res 78:723–729PubMedCrossRef Sharma AK, Metzger DL, Daymont C, Hadjiyannakis S, Rodd CJ (2015) LMS tables for waist-circumference and waist-height ratio Z-scores in children aged 5–19 y in NHANES III: association with cardio-metabolic risks. Pediatr Res 78:723–729PubMedCrossRef
9.
Zurück zum Zitat Du Bois D, Du Bois EF (1989) A formula to estimate the approximate surface area if height and weight be known. 1916. Nutrition 5:303–311; discussion 312–303 Du Bois D, Du Bois EF (1989) A formula to estimate the approximate surface area if height and weight be known. 1916. Nutrition 5:303–311; discussion 312–303
10.
Zurück zum Zitat WHO Multicentre Growth Reference Study Group (2006) WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl 450:76–85 WHO Multicentre Growth Reference Study Group (2006) WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl 450:76–85
11.
Zurück zum Zitat Eidem BW, McMahon CJ, Cohen RR, Wu J, Finkelshteyn I, Kovalchin JP, Ayres NA, Bezold LI, O’Brian Smith E, Pignatelli RH (2004) Impact of cardiac growth on Doppler tissue imaging velocities: a study in healthy children. J Am Soc Echocardiogr 17:212–221PubMedCrossRef Eidem BW, McMahon CJ, Cohen RR, Wu J, Finkelshteyn I, Kovalchin JP, Ayres NA, Bezold LI, O’Brian Smith E, Pignatelli RH (2004) Impact of cardiac growth on Doppler tissue imaging velocities: a study in healthy children. J Am Soc Echocardiogr 17:212–221PubMedCrossRef
12.
Zurück zum Zitat Rosner B, Cook N, Portman R, Daniels S, Falkner B (2008) Determination of blood pressure percentiles in normal-weight children: some methodological issues. Am J Epidemiol 167:653–666PubMedCrossRef Rosner B, Cook N, Portman R, Daniels S, Falkner B (2008) Determination of blood pressure percentiles in normal-weight children: some methodological issues. Am J Epidemiol 167:653–666PubMedCrossRef
13.
Zurück zum Zitat Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D, Carroll AE, Daniels SR, de Ferranti SD, Dionne JM, Falkner B, Flinn SK, Gidding SS, Goodwin C, Leu MG, Powers ME, Rea C, Samuels J, Simasek M, Thaker VV, Urbina EM, Subcommittee on Screening and Management of High Blood Pressure in Children (2017) Clinical practice guideline for screening and management of high blood pressure in children and adolescents. Pediatrics. https://doi.org/10.1542/peds.2017-1904CrossRefPubMed Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D, Carroll AE, Daniels SR, de Ferranti SD, Dionne JM, Falkner B, Flinn SK, Gidding SS, Goodwin C, Leu MG, Powers ME, Rea C, Samuels J, Simasek M, Thaker VV, Urbina EM, Subcommittee on Screening and Management of High Blood Pressure in Children (2017) Clinical practice guideline for screening and management of high blood pressure in children and adolescents. Pediatrics. https://​doi.​org/​10.​1542/​peds.​2017-1904CrossRefPubMed
14.
Zurück zum Zitat Klijn PH, van der Net J, Kimpen JL, Helders PJ, van der Ent CK (2003) Longitudinal determinants of peak aerobic performance in children with cystic fibrosis. Chest 124:2215–2219PubMedCrossRef Klijn PH, van der Net J, Kimpen JL, Helders PJ, van der Ent CK (2003) Longitudinal determinants of peak aerobic performance in children with cystic fibrosis. Chest 124:2215–2219PubMedCrossRef
15.
Zurück zum Zitat Greiwing A, Hager A, Kreiker C, Kroidl RF, Lehnigk B, Scheid P, Schomaker R, Schwarz S (2010) Kursbuch Spiroergometrie. In: Kroidl RF, Schwarz S, Lehnigk B (eds) Technik und Befundung verständlich gemacht. Georg Thieme Verlag, Stuttgart Greiwing A, Hager A, Kreiker C, Kroidl RF, Lehnigk B, Scheid P, Schomaker R, Schwarz S (2010) Kursbuch Spiroergometrie. In: Kroidl RF, Schwarz S, Lehnigk B (eds) Technik und Befundung verständlich gemacht. Georg Thieme Verlag, Stuttgart
16.
Zurück zum Zitat Colan SD, Shirali G, Margossian R, Gallagher D, Altmann K, Canter C, Chen S, Golding F, Radojewski E, Camitta M, Carboni M, Rychik J, Stylianou M, Tani LY, Selamet Tierney ES, Wang Y, Sleeper LA, Pediatric Heart Network I (2012) The ventricular volume variability study of the Pediatric Heart Network: study design and impact of beat averaging and variable type on the reproducibility of echocardiographic measurements in children with chronic dilated cardiomyopathy. J Am Soc Echocardiogr 25:842-854.e846PubMedPubMedCentralCrossRef Colan SD, Shirali G, Margossian R, Gallagher D, Altmann K, Canter C, Chen S, Golding F, Radojewski E, Camitta M, Carboni M, Rychik J, Stylianou M, Tani LY, Selamet Tierney ES, Wang Y, Sleeper LA, Pediatric Heart Network I (2012) The ventricular volume variability study of the Pediatric Heart Network: study design and impact of beat averaging and variable type on the reproducibility of echocardiographic measurements in children with chronic dilated cardiomyopathy. J Am Soc Echocardiogr 25:842-854.e846PubMedPubMedCentralCrossRef
17.
Zurück zum Zitat Lai WW, Geva T, Shirali GS, Frommelt PC, Humes RA, Brook MM, Pignatelli RH, Rychik J, Task Force of the Pediatric Council of the American Society of Echocardiography, Pediatric Council of the American Society of Echocardiography (2006) Guidelines and standards for performance of a pediatric echocardiogram: a Report from the Task Force of the Pediatric Council of the American Society of Echocardiography. J Am Soc Echocardiogr 19:1413–1430PubMedCrossRef Lai WW, Geva T, Shirali GS, Frommelt PC, Humes RA, Brook MM, Pignatelli RH, Rychik J, Task Force of the Pediatric Council of the American Society of Echocardiography, Pediatric Council of the American Society of Echocardiography (2006) Guidelines and standards for performance of a pediatric echocardiogram: a Report from the Task Force of the Pediatric Council of the American Society of Echocardiography. J Am Soc Echocardiogr 19:1413–1430PubMedCrossRef
18.
Zurück zum Zitat Chinali M, Emma F, Esposito C, Rinelli G, Franceschini A, Doyon A, Raimondi F, Pongiglione G, Schaefer F, Matteucci MC (2016) Left ventricular mass indexing in infants, children, and adolescents: a simplified approach for the identification of left ventricular hypertrophy in clinical practice. J Pediatr 170:193–198PubMedCrossRef Chinali M, Emma F, Esposito C, Rinelli G, Franceschini A, Doyon A, Raimondi F, Pongiglione G, Schaefer F, Matteucci MC (2016) Left ventricular mass indexing in infants, children, and adolescents: a simplified approach for the identification of left ventricular hypertrophy in clinical practice. J Pediatr 170:193–198PubMedCrossRef
19.
Zurück zum Zitat Foster BJ, Mackie AS, Mitsnefes M, Ali H, Mamber S, Colan SD (2008) A novel method of expressing left ventricular mass relative to body size in children. Circulation 117:2769–2775PubMedCrossRef Foster BJ, Mackie AS, Mitsnefes M, Ali H, Mamber S, Colan SD (2008) A novel method of expressing left ventricular mass relative to body size in children. Circulation 117:2769–2775PubMedCrossRef
20.
Zurück zum Zitat Foster BJ, Khoury PR, Kimball TR, Mackie AS, Mitsnefes M (2016) New reference centiles for left ventricular mass relative to lean body mass in children. J Am Soc Echocardiogr 29:441-447.e442PubMedCrossRef Foster BJ, Khoury PR, Kimball TR, Mackie AS, Mitsnefes M (2016) New reference centiles for left ventricular mass relative to lean body mass in children. J Am Soc Echocardiogr 29:441-447.e442PubMedCrossRef
21.
Zurück zum Zitat Lopez L, Colan S, Stylianou M, Granger S, Trachtenberg F, Frommelt P, Pearson G, Camarda J, Cnota J, Cohen M, Dragulescu A, Frommelt M, Garuba O, Johnson T, Lai W, Mahgerefteh J, Pignatelli R, Prakash A, Sachdeva R, Soriano B, Soslow J, Spurney C, Srivastava S, Taylor C, Thankavel P, van der Velde M, Minich L, Pediatric Heart Network Investigators (2017) Relationship of echocardiographic Z scores adjusted for body surface area to age, sex, race, and ethnicity: the Pediatric Heart Network Normal Echocardiogram Database. Circ Cardiovasc Imaging. https://doi.org/10.1161/circimaging.117.006979CrossRefPubMedPubMedCentral Lopez L, Colan S, Stylianou M, Granger S, Trachtenberg F, Frommelt P, Pearson G, Camarda J, Cnota J, Cohen M, Dragulescu A, Frommelt M, Garuba O, Johnson T, Lai W, Mahgerefteh J, Pignatelli R, Prakash A, Sachdeva R, Soriano B, Soslow J, Spurney C, Srivastava S, Taylor C, Thankavel P, van der Velde M, Minich L, Pediatric Heart Network Investigators (2017) Relationship of echocardiographic Z scores adjusted for body surface area to age, sex, race, and ethnicity: the Pediatric Heart Network Normal Echocardiogram Database. Circ Cardiovasc Imaging. https://​doi.​org/​10.​1161/​circimaging.​117.​006979CrossRefPubMedPubMedCentral
22.
Zurück zum Zitat Khoury PR, Mitsnefes M, Daniels SR, Kimball TR (2009) Age-specific reference intervals for indexed left ventricular mass in children. J Am Soc Echocardiogr 22:709–714PubMedCrossRef Khoury PR, Mitsnefes M, Daniels SR, Kimball TR (2009) Age-specific reference intervals for indexed left ventricular mass in children. J Am Soc Echocardiogr 22:709–714PubMedCrossRef
23.
Zurück zum Zitat Cantinotti M, Lopez L (2013) Nomograms for blood flow and tissue Doppler velocities to evaluate diastolic function in children: a critical review. J Am Soc Echocardiogr 26:126–141PubMedCrossRef Cantinotti M, Lopez L (2013) Nomograms for blood flow and tissue Doppler velocities to evaluate diastolic function in children: a critical review. J Am Soc Echocardiogr 26:126–141PubMedCrossRef
24.
Zurück zum Zitat Kapuku GK, Davis HC, Shah N, McMillan AM, Harshfield GA (2008) Gender differences in diastolic function among youth. Pediatr Cardiol 29:102–107PubMedCrossRef Kapuku GK, Davis HC, Shah N, McMillan AM, Harshfield GA (2008) Gender differences in diastolic function among youth. Pediatr Cardiol 29:102–107PubMedCrossRef
25.
Zurück zum Zitat Sugianto RI, Schmidt BMW, Memaran N, Duzova A, Topaloglu R, Seeman T, Konig S, Dello Strologo L, Murer L, Ozcakar ZB, Bald M, Shenoy M, Buescher A, Hoyer PF, Pohl M, Billing H, Oh J, Staude H, Pohl M, Genc G, Klaus G, Alparslan C, Grenda R, Rubik J, Krupka K, Tonshoff B, Wuhl E, Melk A (2020) Sex and age as determinants for high blood pressure in pediatric renal transplant recipients: a longitudinal analysis of the CERTAIN Registry. Pediatr Nephrol 35:415–426PubMedCrossRef Sugianto RI, Schmidt BMW, Memaran N, Duzova A, Topaloglu R, Seeman T, Konig S, Dello Strologo L, Murer L, Ozcakar ZB, Bald M, Shenoy M, Buescher A, Hoyer PF, Pohl M, Billing H, Oh J, Staude H, Pohl M, Genc G, Klaus G, Alparslan C, Grenda R, Rubik J, Krupka K, Tonshoff B, Wuhl E, Melk A (2020) Sex and age as determinants for high blood pressure in pediatric renal transplant recipients: a longitudinal analysis of the CERTAIN Registry. Pediatr Nephrol 35:415–426PubMedCrossRef
26.
Zurück zum Zitat Bailey M, Silver R (2014) Sex differences in circadian timing systems: implications for disease. Front Neuroendocrinol 35:111–139PubMedCrossRef Bailey M, Silver R (2014) Sex differences in circadian timing systems: implications for disease. Front Neuroendocrinol 35:111–139PubMedCrossRef
27.
Zurück zum Zitat Sillars A, Ho FK, Pell GP, Gill JMR, Sattar N, Gray S, Celis-Morales C (2020) Sex differences in the association of risk factors for heart failure incidence and mortality. Heart 106:203–212PubMed Sillars A, Ho FK, Pell GP, Gill JMR, Sattar N, Gray S, Celis-Morales C (2020) Sex differences in the association of risk factors for heart failure incidence and mortality. Heart 106:203–212PubMed
28.
Zurück zum Zitat Ferrannini E (2021) A journey in diabetes: from clinical physiology to novel therapeutics: the 2020 Banting Medal for Scientific Achievement Lecture. Diabetes 70:338–346PubMedPubMedCentralCrossRef Ferrannini E (2021) A journey in diabetes: from clinical physiology to novel therapeutics: the 2020 Banting Medal for Scientific Achievement Lecture. Diabetes 70:338–346PubMedPubMedCentralCrossRef
29.
Zurück zum Zitat Shlyakhto E (2018) Gendered innovations in the study of cardiovascular diseases. Adv Exp Med Biol 1065:655–675PubMedCrossRef Shlyakhto E (2018) Gendered innovations in the study of cardiovascular diseases. Adv Exp Med Biol 1065:655–675PubMedCrossRef
30.
Zurück zum Zitat De Simone G, Devereux RB, Chinali M, Roman MJ, Barac A, Panza JA, Lee ET, Howard BV (2011) Sex differences in obesity-related changes in left ventricular morphology: the Strong Heart Study. J Hypertens 29:1431–1438PubMedPubMedCentralCrossRef De Simone G, Devereux RB, Chinali M, Roman MJ, Barac A, Panza JA, Lee ET, Howard BV (2011) Sex differences in obesity-related changes in left ventricular morphology: the Strong Heart Study. J Hypertens 29:1431–1438PubMedPubMedCentralCrossRef
31.
Zurück zum Zitat Taylor RW, Jones IE, Williams SM, Goulding A (2000) Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3–19 y. Am J Clin Nutr 72:490–495PubMedCrossRef Taylor RW, Jones IE, Williams SM, Goulding A (2000) Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3–19 y. Am J Clin Nutr 72:490–495PubMedCrossRef
32.
Zurück zum Zitat Unamuno X, Gomez-Ambrosi J, Rodriguez A, Becerril S, Fruhbeck G, Catalan V (2018) Adipokine dysregulation and adipose tissue inflammation in human obesity. Eur J Clin Investig 48:e12997CrossRef Unamuno X, Gomez-Ambrosi J, Rodriguez A, Becerril S, Fruhbeck G, Catalan V (2018) Adipokine dysregulation and adipose tissue inflammation in human obesity. Eur J Clin Investig 48:e12997CrossRef
33.
Zurück zum Zitat Scheja L, Heeren J (2019) The endocrine function of adipose tissues in health and cardiometabolic disease. Nat Rev Endocrinol 15:507–524PubMedCrossRef Scheja L, Heeren J (2019) The endocrine function of adipose tissues in health and cardiometabolic disease. Nat Rev Endocrinol 15:507–524PubMedCrossRef
34.
Zurück zum Zitat de Koning L, Merchant AT, Pogue J, Anand SS (2007) Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: meta-regression analysis of prospective studies. Eur Heart J 28:850–856PubMedCrossRef de Koning L, Merchant AT, Pogue J, Anand SS (2007) Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: meta-regression analysis of prospective studies. Eur Heart J 28:850–856PubMedCrossRef
35.
Zurück zum Zitat Motiwala SR, Sarma A, Januzzi JL, O’Donoghue ML (2014) Biomarkers in ACS and heart failure: should men and women be interpreted differently? Clin Chem 60:35–43PubMedCrossRef Motiwala SR, Sarma A, Januzzi JL, O’Donoghue ML (2014) Biomarkers in ACS and heart failure: should men and women be interpreted differently? Clin Chem 60:35–43PubMedCrossRef
36.
Zurück zum Zitat Lau ES, Paniagua SM, Guseh JS, Bhambhani V, Zanni MV, Courchesne P, Lyass A, Larson MG, Levy D, Ho JE (2019) Sex differences in circulating biomarkers of cardiovascular disease. J Am Coll Cardiol 74:1543–1553PubMedPubMedCentralCrossRef Lau ES, Paniagua SM, Guseh JS, Bhambhani V, Zanni MV, Courchesne P, Lyass A, Larson MG, Levy D, Ho JE (2019) Sex differences in circulating biomarkers of cardiovascular disease. J Am Coll Cardiol 74:1543–1553PubMedPubMedCentralCrossRef
37.
Zurück zum Zitat Sawaguchi T, Nakajima T, Haruyama A, Hasegawa T, Shibasaki I, Nakajima T, Kaneda H, Arikawa T, Obi S, Sakuma M, Ogawa H, Takei Y, Toyoda S, Nakamura F, Abe S, Fukuda H, Inoue T (2019) Association of serum leptin and adiponectin concentrations with echocardiographic parameters and pathophysiological states in patients with cardiovascular disease receiving cardiovascular surgery. PLoS ONE 14:e0225008PubMedPubMedCentralCrossRef Sawaguchi T, Nakajima T, Haruyama A, Hasegawa T, Shibasaki I, Nakajima T, Kaneda H, Arikawa T, Obi S, Sakuma M, Ogawa H, Takei Y, Toyoda S, Nakamura F, Abe S, Fukuda H, Inoue T (2019) Association of serum leptin and adiponectin concentrations with echocardiographic parameters and pathophysiological states in patients with cardiovascular disease receiving cardiovascular surgery. PLoS ONE 14:e0225008PubMedPubMedCentralCrossRef
38.
Zurück zum Zitat Dadu RT, Dodge R, Nambi V, Virani SS, Hoogeveen RC, Smith NL, Chen F, Pankow JS, Guild C, Tang WH, Boerwinkle E, Hazen SL, Ballantyne CM (2013) Ceruloplasmin and heart failure in the Atherosclerosis Risk in Communities study. Circ Heart Fail 6:936–943PubMedPubMedCentralCrossRef Dadu RT, Dodge R, Nambi V, Virani SS, Hoogeveen RC, Smith NL, Chen F, Pankow JS, Guild C, Tang WH, Boerwinkle E, Hazen SL, Ballantyne CM (2013) Ceruloplasmin and heart failure in the Atherosclerosis Risk in Communities study. Circ Heart Fail 6:936–943PubMedPubMedCentralCrossRef
39.
Zurück zum Zitat Porcar-Almela M, Codoner-Franch P, Tuzon M, Navarro-Solera M, Carrasco-Luna J, Ferrando J (2015) Left ventricular diastolic function and cardiometabolic factors in obese normotensive children. Nutr Metab Cardiovasc Dis 25:108–115PubMedCrossRef Porcar-Almela M, Codoner-Franch P, Tuzon M, Navarro-Solera M, Carrasco-Luna J, Ferrando J (2015) Left ventricular diastolic function and cardiometabolic factors in obese normotensive children. Nutr Metab Cardiovasc Dis 25:108–115PubMedCrossRef
40.
Zurück zum Zitat Chinali M, de Simone G, Roman MJ, Lee ET, Best LG, Howard BV, Devereux RB (2006) Impact of obesity on cardiac geometry and function in a population of adolescents: the Strong Heart Study. J Am Coll Cardiol 47:2267–2273PubMedCrossRef Chinali M, de Simone G, Roman MJ, Lee ET, Best LG, Howard BV, Devereux RB (2006) Impact of obesity on cardiac geometry and function in a population of adolescents: the Strong Heart Study. J Am Coll Cardiol 47:2267–2273PubMedCrossRef
41.
Zurück zum Zitat Kharod AM, Ramlogan SR, Kumar S, Raghuveer T, Drake W, Dai H, Raghuveer G (2014) Childhood obesity increases left-ventricular mass irrespective of blood pressure status. Pediatr Cardiol 35:353–360PubMedCrossRef Kharod AM, Ramlogan SR, Kumar S, Raghuveer T, Drake W, Dai H, Raghuveer G (2014) Childhood obesity increases left-ventricular mass irrespective of blood pressure status. Pediatr Cardiol 35:353–360PubMedCrossRef
42.
Zurück zum Zitat Eisenmann JC, Malina RM, Tremblay A, Bouchard C (2007) Adiposity and cardiac dimensions among 9- to 18-year-old youth: the Quebec Family Study. J Hum Hypertens 21:114–119PubMedCrossRef Eisenmann JC, Malina RM, Tremblay A, Bouchard C (2007) Adiposity and cardiac dimensions among 9- to 18-year-old youth: the Quebec Family Study. J Hum Hypertens 21:114–119PubMedCrossRef
43.
Zurück zum Zitat Mahgerefteh J, Linder J, Silver EJ, Hazin P, Ceresnak S, Hsu D, Lopez L (2016) The prevalence of left ventricular hypertrophy in obese children varies depending on the method utilized to determine left ventricular mass. Pediatr Cardiol 37:993–1002PubMedCrossRef Mahgerefteh J, Linder J, Silver EJ, Hazin P, Ceresnak S, Hsu D, Lopez L (2016) The prevalence of left ventricular hypertrophy in obese children varies depending on the method utilized to determine left ventricular mass. Pediatr Cardiol 37:993–1002PubMedCrossRef
44.
Zurück zum Zitat Di Bonito P, Capaldo B, Forziato C, Sanguigno E, Di Fraia T, Scilla C, Cavuto L, Saitta F, Sibilio G, Moio N (2008) Central adiposity and left ventricular mass in obese children. Nutr Metab Cardiovasc Dis 18:613–617PubMedCrossRef Di Bonito P, Capaldo B, Forziato C, Sanguigno E, Di Fraia T, Scilla C, Cavuto L, Saitta F, Sibilio G, Moio N (2008) Central adiposity and left ventricular mass in obese children. Nutr Metab Cardiovasc Dis 18:613–617PubMedCrossRef
45.
Zurück zum Zitat Crowley DI, Khoury PR, Urbina EM, Ippisch HM, Kimball TR (2011) Cardiovascular impact of the pediatric obesity epidemic: higher left ventricular mass is related to higher body mass index. J Pediatr 158:709-714.e701PubMedCrossRef Crowley DI, Khoury PR, Urbina EM, Ippisch HM, Kimball TR (2011) Cardiovascular impact of the pediatric obesity epidemic: higher left ventricular mass is related to higher body mass index. J Pediatr 158:709-714.e701PubMedCrossRef
46.
Zurück zum Zitat Dhuper S, Abdullah RA, Weichbrod L, Mahdi E, Cohen HW (2011) Association of obesity and hypertension with left ventricular geometry and function in children and adolescents. Obesity (Silver Spring) 19:128–133CrossRef Dhuper S, Abdullah RA, Weichbrod L, Mahdi E, Cohen HW (2011) Association of obesity and hypertension with left ventricular geometry and function in children and adolescents. Obesity (Silver Spring) 19:128–133CrossRef
47.
Zurück zum Zitat Rodicio MM, Domenech de Miguel V, Guinda Jimenez M, Cigarran Guldris S, Lopez Franco MM, Estany Gestal A, Couce ML, Leis Trabazo MR (2018) Early cardiac abnormalities in obese children and their relationship with adiposity. Nutrition 46:83–89PubMedCrossRef Rodicio MM, Domenech de Miguel V, Guinda Jimenez M, Cigarran Guldris S, Lopez Franco MM, Estany Gestal A, Couce ML, Leis Trabazo MR (2018) Early cardiac abnormalities in obese children and their relationship with adiposity. Nutrition 46:83–89PubMedCrossRef
48.
Zurück zum Zitat Serizawa T, Vogel WM, Apstein CS, Grossman W (1981) Comparison of acute alterations in left ventricular relaxation and diastolic chamber stiffness induced by hypoxia and ischemia. Role of myocardial oxygen supply–demand imbalance. J Clin Investig 68:91–102PubMedPubMedCentralCrossRef Serizawa T, Vogel WM, Apstein CS, Grossman W (1981) Comparison of acute alterations in left ventricular relaxation and diastolic chamber stiffness induced by hypoxia and ischemia. Role of myocardial oxygen supply–demand imbalance. J Clin Investig 68:91–102PubMedPubMedCentralCrossRef
49.
Zurück zum Zitat Pieske B, Tschope C, de Boer RA, Fraser AG, Anker SD, Donal E, Edelmann F, Fu M, Guazzi M, Lam CSP, Lancellotti P, Melenovsky V, Morris DA, Nagel E, Pieske-Kraigher E, Ponikowski P, Solomon SD, Vasan RS, Rutten FH, Voors AA, Ruschitzka F, Paulus WJ, Seferovic P, Filippatos G (2019) How to diagnose heart failure with preserved ejection fraction: the HFA-PEFF diagnostic algorithm: a consensus recommendation from the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). Eur Heart J 40:3297–3317PubMedCrossRef Pieske B, Tschope C, de Boer RA, Fraser AG, Anker SD, Donal E, Edelmann F, Fu M, Guazzi M, Lam CSP, Lancellotti P, Melenovsky V, Morris DA, Nagel E, Pieske-Kraigher E, Ponikowski P, Solomon SD, Vasan RS, Rutten FH, Voors AA, Ruschitzka F, Paulus WJ, Seferovic P, Filippatos G (2019) How to diagnose heart failure with preserved ejection fraction: the HFA-PEFF diagnostic algorithm: a consensus recommendation from the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). Eur Heart J 40:3297–3317PubMedCrossRef
50.
Zurück zum Zitat Di Salvo G, Pacileo G, Del Giudice EM, Natale F, Limongelli G, Verrengia M, Rea A, Fratta F, Castaldi B, D’Andrea A, Calabro P, Miele T, Coppola F, Russo MG, Caso P, Perrone L, Calabro R (2006) Abnormal myocardial deformation properties in obese, non-hypertensive children: an ambulatory blood pressure monitoring, standard echocardiographic, and strain rate imaging study. Eur Heart J 27:2689–2695PubMedCrossRef Di Salvo G, Pacileo G, Del Giudice EM, Natale F, Limongelli G, Verrengia M, Rea A, Fratta F, Castaldi B, D’Andrea A, Calabro P, Miele T, Coppola F, Russo MG, Caso P, Perrone L, Calabro R (2006) Abnormal myocardial deformation properties in obese, non-hypertensive children: an ambulatory blood pressure monitoring, standard echocardiographic, and strain rate imaging study. Eur Heart J 27:2689–2695PubMedCrossRef
51.
Zurück zum Zitat Harada K, Orino T, Takada G (2001) Body mass index can predict left ventricular diastolic filling in asymptomatic obese children. Pediatr Cardiol 22:273–278PubMedCrossRef Harada K, Orino T, Takada G (2001) Body mass index can predict left ventricular diastolic filling in asymptomatic obese children. Pediatr Cardiol 22:273–278PubMedCrossRef
52.
Zurück zum Zitat Lai WW, Mertens L, Cohen M, Geva T (2009) Echocardiography in pediatric and congenital heart disease: from fetus to adult. Wiley, HobokenCrossRef Lai WW, Mertens L, Cohen M, Geva T (2009) Echocardiography in pediatric and congenital heart disease: from fetus to adult. Wiley, HobokenCrossRef
Metadaten
Titel
Impact of Sex and Obesity on Echocardiographic Parameters in Children and Adolescents
verfasst von
Jeannine von der Born
Sarah Baberowski
Nima Memaran
Lena Grams
Denise Homeyer
Bianca Borchert-Mörlins
Rizky Indrameikha Sugianto
Mira Paulsen
Elena Bauer
Carl Grabitz
Bernhard M. W. Schmidt
Arno Kerling
Philipp Beerbaum
Meike Stiesch
Uwe Tegtbur
Anette Melk
Publikationsdatum
08.04.2022
Verlag
Springer US
Erschienen in
Pediatric Cardiology / Ausgabe 7/2022
Print ISSN: 0172-0643
Elektronische ISSN: 1432-1971
DOI
https://doi.org/10.1007/s00246-022-02876-2

Weitere Artikel der Ausgabe 7/2022

Pediatric Cardiology 7/2022 Zur Ausgabe

Screening-Mammografie offenbart erhöhtes Herz-Kreislauf-Risiko

26.04.2024 Mammografie Nachrichten

Routinemäßige Mammografien helfen, Brustkrebs frühzeitig zu erkennen. Anhand der Röntgenuntersuchung lassen sich aber auch kardiovaskuläre Risikopatientinnen identifizieren. Als zuverlässiger Anhaltspunkt gilt die Verkalkung der Brustarterien.

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

25.04.2024 Hypertonie Nachrichten

Beginnen ältere Männer im Pflegeheim eine Antihypertensiva-Therapie, dann ist die Frakturrate in den folgenden 30 Tagen mehr als verdoppelt. Besonders häufig stürzen Demenzkranke und Männer, die erstmals Blutdrucksenker nehmen. Dafür spricht eine Analyse unter US-Veteranen.

Adipositas-Medikament auch gegen Schlafapnoe wirksam

24.04.2024 Adipositas Nachrichten

Der als Antidiabetikum sowie zum Gewichtsmanagement zugelassene Wirkstoff Tirzepatid hat in Studien bei adipösen Patienten auch schlafbezogene Atmungsstörungen deutlich reduziert, informiert der Hersteller in einer Vorab-Meldung zum Studienausgang.

Update Kardiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.