| Literature DB >> 35126313 |
Weilun Meng1, Ronggang Peng2, Lei Du3, Yixing Zheng1, Diya Liu4, Shen Qu5, Yawei Xu1, Yi Zhang6.
Abstract
This study aimed to investigate the impact of weight loss after laparoscopic sleeve gastrectomy (LSG) on cardiac structural and functional remodeling in obese Chinese. A total of 44 obese participants were enrolled consecutively. The physical, laboratory, electrocardiographic, and echocardiographic parameters of pre-and postoperative were recorded. The average follow-up time was 12.28 ± 5.80 months. The body mass index (BMI) of the patients with obesity was decreased from 41.6 ± 7.44 to 30.3 ± 5.73kg/m2 (P<0.001) after LSG. The systolic and diastolic blood pressure of the subjects was significantly reduced from 137.9 ± 15.7mmHg to 123.0 ± 16.0 and 83.4 ± 10.8 to 71.3 ± 11.7mmHg (P<0.001), respectively. The levels of fasting insulin and fasting blood glucose were significantly decreased (38.8 ± 32.1 to 8.43 ± 4.16 mU/L, P<0.001; 6.95 ± 2.59 to 4.64 ± 0.50mmol/L, P<0.001). Total cholesterol (TC, 4.66 ± 0.84 to 4.23 ± 0.75mmol/L, P<0.001) and triglyceride (TG, 1.92 ± 1.21 to 0.85 ± 0.30mmol/L, P<0.001) decreased significantly. Cardiovascular geometric parameters including aortic sinus diameter (ASD, 32.9 ± 2.83mm to 32.0 ± 3.10mm, P<0.05), left atrial diameter (LAD, 38.8 ± 4.03 to 36.2 ± 4.12mm, P<0.001), and interventricular septum thickness(IVS, 10.2 ± 0.93 to 9.64 ± 0.89mm, P<0.001) were significantly reduced. The ratio of weight loss (RWL) was positively correlated with the changes of LAD. The change of IVS was negatively correlated with the change of fasting blood glucose (GLU). Weight loss after LSG could effectively improve cardiac structural, but not functional, abnormality in obese Chinese.Entities:
Keywords: cardiac structural and functional remodeling; cardiovascular; echocardiography; obesity; sleeve gastrectomy
Mesh:
Substances:
Year: 2022 PMID: 35126313 PMCID: PMC8815081 DOI: 10.3389/fendo.2021.799537
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Figure 1Flowchart of the study. LSG, laparoscopic sleeve gastrectomy.
Baseline characteristics, conventional cardiovascular risk factors, and metabolism variables at baseline and follow-up.
| Baseline | 12-month Follow-up |
| |
|---|---|---|---|
| Age (years) | 32.4 ± 9.6 | ||
| Male, n (%) | 18 (41%) | ||
| Cigarette smoking, n (%) | 4 (9%) | 4 (9%) | 1 |
| BMI (kg/m2) | 41.6 ± 7.44 | 30.3 ± 5.73 | <0.001 |
| SBP (mmHg) | 137.9 ± 15.7 | 123.0 ± 16.0 | <0.001 |
| DBP (mmHg) | 83.4 ± 10.8 | 71.3 ± 11.7 | <0.001 |
| LDL (mmol/L) | 2.86 ± 0.74 | 2.59 ± 0.76 | 0.014 |
| GLU (mmol/L) | 6.95 ± 2.59 | 4.64 ± 0.50 | <0.001 |
| TC (mmol/L) | 4.66 ± 0.84 | 4.23 ± 0.75 | 0.005 |
| TG (mmol/L) | 1.92 ± 1.21 | 0.85 ± 0.30 | <0.001 |
| HDL (mmol/L) | 1.02 ± 0.21 | 1.23 ± 0.26 | <0.001 |
| FA (mmol/L) | 0.57 ± 0.22 | 0.52 ± 0.21 | 0.28 |
| Ins (mU/L) | 38.8 ± 32.1 | 8.43 ± 4.16 | <0.001 |
| HbA1c (%) | 7.10 ± 2.39 | 5.50 ± 0.37 | <0.001 |
| HTN | 11 (25.0%) | 3 (6.8%) | <0.05 |
| Years of HTN | 3 [1-20] | ||
| Antihypertensive drugs taking, n (%) | 8 (18.2%) | 3 (6.8%) | <0.05 |
| Types of antihypertensive drugs | 2.5 [1-5] | 0 [0-3] | <0.05 |
Data were presented as absolute number (%) or mean ± SD. Student’s T-test and chi-square test.
were conducted to compare the differences between baseline and 12-month follow-up for quantitative and qualitative variables, respectively. BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; LDL, low density lipoprotein; GLU, fasting blood glucose; TC, total cholesterol; TG, triglyceride; HDL, high density lipoprotein; FA , free fatty acid; Ins, fasting insulin; HbA1c, glycosylated hemoglobin A1c; HTN, hypertension.
Electrocardiographic and echocardiographic parameters at baseline and follow-up.
| Baseline | Follow-up |
| |
|---|---|---|---|
| Electrocardiogram | |||
| HR (beats/minute) | 85.2 ± 12.2 | 71.9 ± 10.9 | <0.001 |
| PR interval (ms) | 153.5 ± 13.7 | 155.3 ± 14.1 | 0.34 |
| QTc (ms) | 438.1 ± 22.3 | 421.0 ± 17.6 | <0.001 |
| Echocardiogram | |||
| ASD (mm) | 32.9 ± 2.83 | 32.0 ± 3.10 | 0.020 |
| LAD (mm) | 38.8 ± 4.03 | 36.2 ± 4.12 | <0.001 |
| LVEDD (mm) | 48.6 ± 4.41 | 47.5 ± 3.94 | 0.087 |
| LVESD (mm) | 30.4 ± 5.01 | 29.9 ± 3.80 | 0.41 |
| IVS (mm) | 10.2 ± 0.93 | 9.64 ± 0.89 | <0.001 |
| PWT (mm) | 9.93 ± 0.90 | 9.48 ± 0.79 | <0.001 |
| LVmass (g) | 275.0 ± 64.2 | 249.7 ± 54.3 | 0.001 |
| LVEF (%) | 64.2 ± 7.26 | 65.4 ± 3.53 | 0.28 |
| Sa (m/s) | 0.10 ± 0.03 | 0.10 ± 0.02 | 0.88 |
Data were presented as absolute number (%) or mean ± SD. Student’s t-test and chi-square test were conducted to compare the differences between baseline and 12-month follow-up for quantitative and qualitative variables, respectively. HR, heart rate; QTc, corrected QT interval; calculated by Bazett’s formula: QT/RR1/2; ASD, aortic sinus diameter; LAD, left atrial diameter; LVEDD, left ventricular end-diastolic diameter; LVESD, left ventricular end-systolic diameter; IVS, interventricular septum thickness; PWT, left ventricular posterior wall thickness; LVmass, left ventricular mass; calculated by the formula:0.8* (1.04 * (LVEDD+IVS+PWT)* 3)*0.6); LVEF, left ventricular ejection fraction; Sa, The peak of systolic mitral annular velocities.
Figure 2The BMI, electrocardiographic and echocardiographic parameters at baseline and follow-up. *P < 0.05; **P < 0.01. There was a significant decrease in anthropometric, electrocardiographic, and echocardiographic parameters, including BMI, HR, QTc, ASD, LAD, IVS, PWT, and LVmass.
Correlations of conventional cardiovascular risk factors and the cardiac parameters.
| ΔHR | ΔQTc | ΔLAD | ΔIVS | ΔPWT | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| R | P | R | P | R | P | R | P | R | P | |
| RWL | 0.057 | 0.71 | -0.068 | 0.66 | 0.470** | 0.001 | -0.005 | 0.97 | -0.17 | 0.27 |
| ΔSBP | -0.18 | 0.25 | -0.036 | 0.82 | 0.14 | 0.35 | -0.018 | 0.91 | 0.19 | 0.23 |
| ΔLDL | -0.034 | 0.83 | -0.11 | 0.49 | 0.057 | 0.72 | -0.12 | 0.43 | -0.25 | 0.10 |
| ΔGLU | 0.070 | 0.65 | 0.15 | 0.34 | 0.093 | 0.55 | -0.34* | 0.024 | -0.37* | 0.015 |
Pearson correlation analyses were performed to compare the coefficients. *P < 0.05; **P < 0.01. HR, heart rate; QTc, corrected QT interval; calculated by Bazett’s formula: QT/RR1/2; LAD, left atrial diameter; IVS, interventricular septum thickness; PWT, left ventricular posterior wall thickness; RWL, ratio of weight loss; SBP, systolic blood pressure; LDL, low density lipoprotein; GLU, fasting blood glucose. The changes of parameters pre-and postoperative were represented by Δ.
Multiple linear regression analysis of conventional cardiovascular risk factors and cardiac parameters.
| Variables included in the model | ΔLAD | ΔIVS | ΔPWT | |||||
|---|---|---|---|---|---|---|---|---|
| β | P | β | P | β | P | |||
| Without adjustment | ||||||||
| RWL | 0.50** | 0.001 | 0.021 | 0.90 | -0.13 | 0.39 | ||
| ΔSBP | 0.15 | 0.31 | -0.081 | 0.62 | 0.20 | 0.20 | ||
| ΔLDL | -0.16 | 0.30 | -0.059 | 0.73 | -0.22 | 0.17 | ||
| ΔGLU | 0.15 | 0.30 | -0.35* | 0.031 | -0.29 | 0.055 | ||
| With adjustment for age and gender | ||||||||
| RWL | 0.50** | 0.002 | 0.021 | 0.90 | -0.12 | 0.43 | ||
| ΔSBP | 0.14 | 0.39 | -0.072 | 0.68 | -0.18 | 0.29 | ||
| ΔLDL | -0.15 | 0.34 | -0.069 | 0.69 | -0.24 | 0.15 | ||
| ΔGLU | 0.14 | 0.37 | -0.33* | 0.047 | -0.29 | 0.065 | ||
Association of conventional cardiovascular risk factors and the parameters of cardiac was analyzed by the multivariable linear regression analysis with and without adjustment for age and gender. *P < 0.05; **P < 0.01. LAD, left atrial diameter; IVS, interventricular septum thickness; PWT, left ventricular posterior wall thickness; RWL, ratio of weight loss; SBP, systolic blood pressure; LDL, low density lipoprotein; GLU, fasting blood glucose. The changes of parameters pre-and postoperative were represented by Δ.
Figure 3The change of LAD and IVS in subgroups. *P < 0.01. The population was divided into low (L), middle (M), and high (H) subgroups according to the tri-sectional quantiles of weight loss ratio (RWL) or the change of glucose (ΔGLU). (A) showed the change of LAD was different among the subgroups (P <0.01). But (B) showed the change of IVS was not different in subgroups (P > 0.05).