| Literature DB >> 34150869 |
Amir Anwar Samaan1,2, Karim Said1,2, Wafaa El Aroussy1, Mohammed Hassan1, Soha Romeih2, Amr El Sawy2, Mohammed Eid Fawzy1, Magdi Yacoub2,3.
Abstract
Background: Rheumatic heart disease affects primarily cardiac valves, it could involve the myocardium either primarily or secondary to heart valve affection. The influence of balloon mitral valvuloplasty (BMV) on left ventricular function has not been sufficiently studied. Aim: To determine the influence of balloon mitral valvuloplasty (BMV) on both global and regional left ventricular (LV) function.Entities:
Keywords: balloon mitral valvuloplasty; cardiac magnetic resonance imaging; left ventricular deformation; left ventricular function; left ventricular remodeling; mitral stenosis; myocardial tagging
Year: 2021 PMID: 34150869 PMCID: PMC8212956 DOI: 10.3389/fcvm.2021.674435
Source DB: PubMed Journal: Front Cardiovasc Med ISSN: 2297-055X
Figure 1CMR Measurements of ventricular volumes in one of mitral stenosis patients. End diastolic short-axis images from the apex to the base with epicardial (green lines) and endocardial (red lines) contours drawn for the left ventricle and endocardial contours for the right ventricle.
Figure 2Tagged cardiac magnetic resonance imaging with epicardial and endocardial border tracing in: short axis (A), horizontal long axis (apical four chambers) (B), vertical long axis (apical two chambers) (C), and left ventricular outflow view (three chambers views) (D). The short axis images were used for estimation of circumferential strain while long axis views were used for estimation of longitudinal strain.
Figure 3(A) Measurement of regional and global circumferential strain (Bull's eye plot) in a patient with mitral stenosis before and 1 year after BMV with comparison to a control individual (B) Graph representation of GCS in a patient with mitral stenosis before and after BMV in comparison to a control individual.
Baseline clinical, echocardiographic, and hemodynamic data of the patients.
| Age (years) | 33 (23–41) |
| Female gender [ | 22 (73.3%) |
| II [ | 17 (56.6%) |
| III [ | 13 (43.3%) |
| Atrial fibrillation ryhthm [ | 3 (10%) |
| MVA (cm2) | 0.9 (0.6–1.3) |
| Mean pressure gradient (mmHg) | 12.5 (8–24) |
| Wilkin's score | 7 (6–10) |
| PASP (mmHg) | 47.5 (25–120) |
| HR (bpm) | 72 (64–88) |
| LAP (mmHg) | 30 (14–35) |
| LVEDP (mmHg) | 12 (8–19) |
| Mean trans-mitral pressure gradient (mmHg) | 14 (9–28) |
| Mean PAP, (mmHg) | 40 (19–72) |
| CO (L/min) | 3.6 (2.5–5.7) |
| Cardiac index (L/min/m2) | 2 (1.5–3.1) |
| SVR (Woods units) | 20.4 (14.3–38.2) |
MVA, Mitral valve area; NYHA, New York Heart Association; PASP, pulmonary artery systolic pressure; HR, heart rate; LAP, left atrial pressure; LVEDP, left ventricular end diastolic pressure; mean PAP, mean pulmonary artery pressure; CO, cardiac output; SVR, systemic vascular resistance. Values are expressed as median and range. Data are presented as median (range) or number (%).
Age and gender in both control group and MS patients.
| Age (years) | 31 (21–39) | 33 (23–41) | 0.81 |
| Female gender, [ | 9 (75%) | 22 (73.3%) | 0.89 |
LV volumes, EF, strain and torsion values in control group and in MS patients at baseline, 6 months and 1 year after BMV.
| LVEDVI (ml/m2) | 71 (64–85) | 74 (44–99) | 73 (48–117) | 73(48–119) | 0.32 | 0.45 | 0.75 | 0.65 |
| LVESVI (ml/m2) | 22 (15–35) | 31 (14–57) | 30 (20–57) | 29 (17–54) | 0.14 | 0.12 | ||
| LVEF (%) | 64 (58–67) | 57 (45–69) | 58 (50–68) | 62 (53–72) | 0.244 | |||
| LV GLS (%) | −22.7 (−21.1– −24.8) | −13.8 (−10.2– −18.5) | −16.4 (−13.7– −23.1) | −17.8 (−13– −23.9) | ||||
| LV GCS (%) | −23.2 (−22.2– −24.9) | −15.6 (−10.5– −19) | −17.8 (−13.8– −21.9) | −19.4 (−13.6– 23.9) |
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Figure 4Bar graphs showing Changes in LV GLS after BMV (A) and Changes in LV GCS after BMV (B).
Figure 5Line chart representing changes in GLS and GCS in individual mitral stenosis patients 1 year after BMV.
Figure 6Correlation between change in LV deformation parameters and baseline values. (A) Correlation between change in GLS and baseline GLS. (B) Correlation between change in GCS and baseline GCS.