| Literature DB >> 33889711 |
Anan A Abu Rmilah1,2, Mahmoud A Tahboub1, Adham K Alkurashi2, Suhaib A Jaber3, Asil H Yagmour4, Deema Al-Souri5, Bradley R Lewis6, Vuyisile T Nkomo2, Patricia J Erwin7, Guy S Reeder2.
Abstract
AIMS: Percutaneous mitral balloon valvotomy PMBV is an acceptable alternative to Mitral valve surgery for patients with mitral stenosis. The purpose of this study was to explore the immediate results of PMBV with respect to echocardiographic changes, outcomes, and complications, using a meta-analysis approach.Entities:
Keywords: AF, Atrial fibrillation; AHA/ACC, American Heart Association (AHA) and American College of Cardiology (ACC); Echocardiography; LAD, Left atrial diameter; LAP, Left atrial pressure; LV EDP, Left ventricle end-diastolic pressure; LV EDV, Left ventricle end-diastolic volume; LV ESP, Left ventricle end-systolic pressure; LV ESV, Left ventricle end-systolic volume; MACCE, Major adverse cardiovascular and cerebrovascular events; MD, Mean difference; MPG, Mitral pressure gradient; MR, Mitral regurgitation; MS, Mitral stenosis; MVA, Mitral valve area; Mitral stenosis; Mitral valve surgery; NOS, New castle Ottawa scale; PMBV, percutaneous mitral balloon valvotomy; Percutaneous balloon mitral valvotomy; Percutaneous balloon mitral valvuloplasty; SR, sinus rhythm
Year: 2021 PMID: 33889711 PMCID: PMC8050729 DOI: 10.1016/j.ijcha.2021.100765
Source DB: PubMed Journal: Int J Cardiol Heart Vasc ISSN: 2352-9067
Fig. 1PRISMA-style flow diagram for a systematic review and meta-analysis of PMBV for severe MS patients.
General characteristics and patient demographics of all included studies.
| Abdelrahman | 2016 | Observational study | Egypt | NA | NA | 31 | 35.6 ± 12.8 | 11 (35%) | NA | NA | NA | 9 (29%) | 31 (100%) | 6.3 ± 0.9 | NA | NA | NA | NA | 3 (10%) | NA | NA | NA | NA |
| Aslanabadi 2014 | 2014 | Prospective cohort | Iran | 02/2010–01/2013 | NA | 105 | 45.81 ± 13.37 | 21 (20%) | NA | NA | 61 (58.1%) | 16 (15.24%) | 105 (100%) | 8.5 ± 1.3 | NA | NA | NA | 0 | 1 (0.9) | 0 | 0 | 0 | 0 Tamponade |
| Aslanabadi 2016 | 2016 | Cross sectional study | Iran | 1999–2013 | Sinus rhythm | 585 | 45.42 ± 12.08 | 131 (22.4%) | NA | NA | 198 (33.8%) | 0 | 100% | NA | NA | NA | 7.27 ± 3.16 years (a minimum of 2 years and a maximum of 14 years). | 7 (1,2%) | 0 | 46 (7.9%) | 29 (4.9%) | 11 (1.9%) Stroke | 0 Tamponade |
| Atrial fibrillation | 415 | 54.40 ± 12.39 | 108 (26%) | NA | NA | 180 (43.4%) | 415 (100%) | 100% | NA | NA | NA | 22 (5.3%) | 4 (1%) | 77 (18.6%) | 54 (13%) | 17 (4.1%) Stroke | 1 (0.2%) Tamponade | ||||||
| Babu | 2013 | Retrospective cohort | India | 05/2007–12/2008 | NA | 100 | 33.51 ± 10.42 | 28 (28%) | NA | NA | 36 (36%) | 12(12%) | 100% | 7.25 + 0.98 | 7 (7%) | 8 (8%) | NA | NA | 8 (8%) | NA | NA | NA | NA |
| Beig | 2015 | Prospective cohort | India | NA | NA | 25 | 34.1 ± 7.1 | 7 (28%) | 0 | NA | All class II–IV | 0 | All had no or mild MR | All with Wilkins’s score | 0 | 0 | NA | NA | NA | NA | NA | NA | NA |
| Celik | 2012 | Case control | Turkey | NA | Case group | 40 | 44 ± 11 | 10 (25%) | 6 (15%) | 2 (5%) | 7 (17.5%) | 8 (20%) | All had no or mild MR | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Chmielak | 2013 | Prospective cohort | Poland | 09/1988–12/2007 | Age > 65 y | 132 | 68.8 ± 3.63 | 18 (13.6%) | NA | NA | NA | 91(68.9%) | 132 (100%) | NA | 2 (1.5%) | 34 (25.8%) | 6.25 ± 4.33 years | 33 (25%) | 1 (0.76%) | 1 (0.76%) | 16 (12.1%) | 0 | 0 |
| Cho | 2018 | Retrospective cohort | Korea | 01/1989–08/2005 | Post-PMBV Sinus rhythm | 50 | 38 ± 9 | 5 (10%) | NA | NA | NA | 3 (6) | 50 (100%) | NA | NA | NA | 18 years (range, 10–28 years) | NA | 0 | 12 (11%) | 10 (9%) | 5 (5%) Stroke | 5 (5%) |
| Post-PMBV Atrial fibrillation | 57 | 43 ± 10 | 18 (32%) | NA | NA | NA | 31 (54) | 57 (100%) | NA | NA | NA | ||||||||||||
| Demirkan | 2012 | Case control | Turkey | NA | Case group | 30 | 36.5 ± 8.5 | 7 (30%) | 0 | 0 | NA | NA | All had no or mild MR | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Deng | 2014 | Observational study | China | 10/2010–03/2013 | 10/2010–03/2013 | 30 | 34.5 ± 7.1 | 10 (33.3%) | 0 | 0 | 7 (23.4%) | 0 | All had no or mild MR | 4–8 (in 24) | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Dreyfus | 2014 | Retrospective cohort | France | NA | No leaflet or commissural calcification | 261 | 49 ± 15 | 50(19%) | NA | NA | 196(75%) | 61(23%) | NA | NA | 54(21%) | NA | NA | 0 (0%) | 26 (10%) | NA | 7 (3%) | 1 (0.2%) | 0 (0%) Tamponade |
| With leaflet calcification but no commissural calcification | 141 | 61 ± 13 | 33(23%) | NA | NA | 112(79%) | 56(40%) | NA | NA | 26(18%) | NA | NA | 0 (0%) | 14 (10%) | NA | 3 (2%) | 1 (0.4%) Embolism | 1 (0.7%) Tamponade | |||||
| At least one commissural calcification | 62 | 58 ± 14 | 21 (33.8%) | NA | NA | 49(79%) | 26 (42%) | NA | NA | 12(19%) | NA | NA | 0 (0%) | 5 (8%) | NA | 1 (2%) | NA | 0 (0%) Tamponade | |||||
| Esteves 2013 | 2013 | Prospective cohort | Brazil | 12/2008–06/2011 | NA | 30 | 37.4 ± 10.6 | 1 (3%) | 0 | NA | NA | 0 | 100% | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Esteves 2017 | 2017 | Prospective cohort | Brazil | 04/2008–10/2014 | NA | 142 | 42.3 ± 12.1 | 17 (12%) | NA | NA | 59(42%) | 26 (18%) | 100% | NA | 20 (14%) | NA | 30.8 months (range, 1 day to 7.9 years) | 4 (2.8%) | NA | 5 (3.5%) | 9 (6.3%) | 3 Stroke | 7 (4.9%) AF |
| Guilherme | 2018 | Prospective cohort | Brazil | 01/2012–01/ 2015 | NA | 137 | 43 ± 12 | 18 (13%) | NA | NA | 65 (47%) | 32 (23%) | 100% | NA | NA | NA | 27 months (range, 6–53) | 2 | 7 (5%) | 5 (3.6%) | 6 (4.4%) | 1 (0.73%) Stroke | 6 (4.4.%) AF |
| Hasan | 2014 | Case- Control | Egypt | NA | Cases | 65 | 26 ± 8 | 21 (32%) | NA | NA | 23 (35%) | 0 | 65(100%) | 6.9 ± 1.1 | 0 | 0 | NA | NA | NA | NA | NA | NA | NA |
| İnci | 2014 | Prospective cohort | Turkey | NA | NA | 49 | 42 ± 11 | 14 (29%) | 0 | 0 | All with class ≥ II, and ≤ IV | 0 | 49 (100%) | 8 with (6–10) | NA | NA | 1 year | NA | NA | NA | NA | NA | NA |
| Jayaram | 2017 | Retrospective cohort | India | 11/ 2010–01/ 2013 | NA | 50 | 37.48 ± 9.82 | 19 (38%) | NA | NA | 20 (40%) | 50 (100%) | 28 (56%) | 9.03 ± 1.64 | NA | 26 (52%) | 6 months | NA | 0 | NA | NA | 0% | NA |
| Jorge | 2016 | Prospective cohort | Portugal | 04/1987–10/ 2011 | NA | 532 | 50 ± 13 | 82 (15%) | NA | NA | Class IV in 16 (3%) | 242 (46%) | NA | Wilkins score > 8 in 37 (8%) | 54(11%) | NA | 10 years (interquartile range 4 to | 21% | Moderate/severe MR in 55 (18%) | 17 (12%) | 121 (88%) | NA | NA |
| Kumar | 2014 | Case control | India | NA | Cases | 25 | 34.48 ± 9.05 | NA | NA | NA | NA | 0 | All had no or mild MR | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Lee | 2017 | Prospective cohort | South Korea | 09/1989–12/1995 | Double balloon | 150 | 40 ± 11 | 40 (27%) | NA | NA | Class ≥ 2 in 134 (89%) | 57 (38%) | 100% | NA | NA | NA | 20.7 years (maximum, 25.6 years) | 34 (22.7%) | NA | 53 (35.3%) | NA | NA | |
| Inoue Balloon | 152 | 42 ± 11 | 37 (24%) | NA | NA | Class ≥ 2 in 139 (91%) | 65 (43%) | NA | NA | NA | 37 (24.3%) | NA | 49 (32.2%) | NA | NA | ||||||||
| Lu | 2016 | Observational study | China | 05/2008–06/2012 | Mild MR | 30 | 46.87 ± 13.39 | 8 (26.6%) | NA | NA | NA | NA | All had mild MR | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Moderate MR | 10 | 49.7 ± 8.47 | 2 (20%) | NA | NA | NA | NA | All had moderate MR | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | |||||
| Severe MR | 16 | 49.16 ± 11.66 | 5 (31%) | NA | NA | NA | NA | All had severe MR | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | |||||
| Mahfouz | 2017 | Prospective Case control | Egypt | NA | Case | 45 | 38 ± 19 | 46.7% | 0 | 0 | 2.3 ± 0.7 | NA | 0 | NA | NA | NA | 6 months | NA | NA | NA | NA | 1 (2.2%) Stroke | 5 (11.1%) AF |
| Morttada | 2014 | Observational study | Egypt | 09/2010–07/ 2011 | NA | 30 | 30.10 ± 9.28 | 5 (16.7%) | 0 | 0 | 8 (26.7%) | 0. | 30 (100%) | 7.76 ± 0.31 | 0 | 0 | NA | NA | NA | NA | NA | NA | NA |
| Miura | 2016 | Retrospective cohort | Japan | 03/2000–03/2009 | Sinus rhythm | 24 | 61 ± 9 | 5 (20.8%) | 2 (8.3%) | 3 (12.5%) | 0 | 0 | All are MR ≤ grade 3/4 | NA | 4 (16.6%) | 1 (4.2%) | 73 months [interquartile range 41–94 months] | 0 | NA | 1 (4%) | 1 (4%) | 1 (4%) Stroke | 1 (4%) HF admission |
| Atrial fibrillation | 53 | 62 ± 9 | 18 (33.9%) | 11 (20.8%) | 11 (20.8%) | 18 (33.9%) | 100% | NA | 5 (9.4%) | 11 (20.8%) | 7 (13.2%) | NA | 4 (8%) | 13 (25%) | 6 (11%) Stroke | 8 (15%) HF admission | |||||||
| Nair | 2012 | Retrospective cohort | India | 1997–2003 | Sinus rhythm | 723 | 29.4 ± 10.1 | NA | NA | NA | 238 (32.9) | 0 | 100% | 180 (24.9%) had score > 8 | 35 (4.8%) | 83 (11.5%) | 6.1 ± 3 years | 4 | 56 (7.7%) | 57 (7.9%) | 50 (6.9%) | 28 (3.9%) Stroke | 1 (0.1%) Tamponade |
| Atrial fibrillation | 95 | 39.9 ± 9.9 | NA | NA | NA | 51 (53.7) | 100% | 100% | 45 (47.4) had score > 8 | 6 (6.3%) | 32 (33.7%) | 6.1 ± 3 years | 0 | 16 (16.8%) | 3 (3.2%) | 14 (14.7%) | 11 (11.6%) Stroke | 2 (2.1%) Tamponade | |||||
| Nunes | 2017 | Observational study | NA | 2000–2012 | NA | 427 | 50.3 ± 16.1 | 66(16%) | NA | NA | 209 (49%) | 146 (34%) | 47(11%) | NA | NA | 77 (18%) | 31 months (IQR, 7.8–49.2 | 49 (11.5%) | 23 (5%) | 12 (2.8%) | 50 (11.7%) | 9 (2.1%) Stroke | NA |
| Omaygenḉ | 2015 | Retrospective cohort | Turkey | NA | NA | 18 | 43.7 ± 2.7 | 0 | NA | NA | 4 (22.2%) | 5 (27.8%) | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Ozkan | 2016 | Observational study | Turkey | 1994–2010 | NA | 85 | 34.8 ± 10 | 12 (14.2%) | NA | NA | 77 (90.5%) | NA | 100% | 7.89 ± 2 | NA | NA | 108.2 ± 31.4 months | 1 (1.2%) | 1 (1.17%) | 1 (1.17%) | 7 (8.23%) | NA | NA |
| Pedro | 2015 | Prospective cohort | Brazil, | 09/ 2006 – 01/2015 | NA | 31 | 40.9 ± 14.2 | 1 (3.2%) | 4 (12.9%) | 2 (6.5%) | All are NYHA class II or more | 3 (9.7%) | 100% | 8.1 ± 1.2 | 0 | 5 (16.1%) | 6.8 ± 2.5 years | 2 (6.5%) | NA | 1 (3.2%) | 4 (12.9%) | NA | NA |
| Rajbhandari | 2016 | Retrospective cohort | India | 01/2011–12/2013 | NA | 20 | 31.4 ± 9.3 | 7 (35%) | NA | NA | All are NYHA class II or more | 5 (40%) | 20 (100%) | NA | NA | NA | One Week | 0 | 0 | 0 | 0 | 0 | 1 (5%) AF |
| Ranganayakulu | 2015 | Observational study | India | 06/2012–12/ 2013. | NA | 100 | 37.5 ± 11 | 19 (19%) | 0 | NA | 41 (41%) | NA | All had no or mild MR | NA | 0 | 0 | NA | NA | 4 (4%) | NA | NA | NA | 4 AF |
| Rifaie | 2015 | Observational study | Egypt | 08/2013 – 06/2014 | NA | 39 | 30.4 ± 7.2 | 11(28%) | NA | NA | NA | NA | 39 (100%) | 7.3 ± 0.9 | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Roushdy | 2015 | Case control | Egypt | 06/2013–06/ 2014 | Case | 32 | 31.9 ± 6.3 | NA | 0 | 0 | All have NYHA class II–III. | 0 | All had no or mild MR | All had Wilkins score < 10 | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Saad | 2015 | Case control | Egypt | 08/ 2010–03/2014 | Case | 45 | 30.1 ± 8.99 | 12 (26.7%) | 0 | 0 | All | 0 | All had no or mild MR | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Safi | 2017 | Prospective cohort | Iran | 2014–2015 | NA | 25 | 44.36 ± 11.36 | 21 (84%) | 0 | NA | NA | 10 (40%) | All had no or mild MR | Score of 8 in 17 patients | NA | NA | NA | NA | 0 | NA | NA | NA | NA |
| Sengupta | 2014 | Case control | Netherlands | 10/2011–04/ 2012. | Case | 57 | 28.1 ± 6.4 | 16 (28.1%) | NA | 0 | NA | 7 (12.2%) | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Sowdagar | 2017 | Case control | India | 08/2012–12/ 2013 | Case | 30 | 36.8 ± 6.7 | 3 (10%) | 0 | 0 | 30(100%) | 0 | All had less than moderate MR | NA | 0 | 0 | NA | NA | NA | NA | NA | NA | NA |
| Tefera | 2018 | Observational study | Canada | April to May 2014. | NA | 11 | 14.3 ± 4.2 | 3 (27%) | NA | NA | 8(72%) | NA | 11 (100%) | NA | NA | NA | 20 months | NA | 1 | NA | 1 | NA | NA |
| Tirumala | 2018 | Prospective cohort | India | 05/ 2015–12/2016 | NA | 100 | 33.2 ± 10.3 | 29 (29%) | 0 | 0 | 21 (21%) | 0 | 100 | 7.9 ± 0.9 | NA | NA | NA | 0 | 0 | 0 | 0 | 0 | 0 |
| Tomai | 2014 | Prospective cohort | Italy | 01/1991–12/2010 | NA | 527 | 55.3 ± 11.6 | 88 (16%) | NA | NA | 386 (73.2) | 238 (45.2) | 58(11%) had MR ≥ grade 2 | NA | 38 (7.2) | 11.7 ± 4.9 years (range 0.5–20 years) | 63 (14.3%) | 63 (14.3%) | 26 (5.9%) | 119 (27%) | 185 (41.9) MACE | 21 (4.8%) had NYHA class 2) | |
| Tyczyński | 2018 | Retrospective cohort | Poland | 09/ 1988–11/2016 | MVA > 1.5 cm2 | 113 | 54.0 ± 10.0 | 12 (10.6%) | NA | NA | 22(19.4% | 45 (39.8%) | 113 (100%) | 6.1 ± 1.4 | NA | NA | NA | NA | 1.8% | NA | NA | NA | NA |
| MVA ≤ 1.5 cm2 | 113 | 53.4 ± 10.2 | 7 (6.2%) | NA | NA | 92(81.1% | 36 (31.8%) | 113 (100%) | 6.1 ± 1.5 | NA | NA | NA | NA | 1.8% | NA | NA | NA | NA | |||||
| Vieira | 2012 | Prospective cohort | Brazil | 03/ 2009–05/ 2011 | NA | 28 | 39 ± 11.5 | 4(14.4%) | NA | NA | 14 (45.2%) | 6 (19%) | NA | NA | 7.6 (0.9%) | NA | NA | NA | NA | NA | NA | NA | NA |
| Vilvanathan | 2016 | RCT | India | NA | Amiodarone group | 44 | 38.80 ± 8.426 | 9 (20.5%) | 3 (6.8%) | 4 (9.1%) | 7 (15.9%) | 44 (100%) | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| Placebo group | 45 | 37.62 ± 9.260 | 15 (34.1%) | 5 (11.1%) | 4 (8.9%) | 9 (20%) | 45 (100%) | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | |||||
| Vinayakumar Desabandhu | 2016 | Prospective cohort | India | 02/2012–05/ 2013 | Moderate MR | 17 | 46.2 ± 10.8 | 11.8% | NA | NA | 17(100%) | 13 (76%) | 17 (100%) | NA | NA | NA | NA | NA | 2 (11.76%) | 0 | 0 | NA | 0 CV death |
| Mild or no MR | 208 | 41.0 ± 11.6 | 25% | NA | NA | 208 (100%) | 148 (71%) | 208 (100%) | NA | NA | NA | NA | NA | 7 (3.3%) | 0 | 3 (1.44%) | NA | 1 (0.48%) CV death | |||||
Fig. 2. Meta-analysis of 37 studies reporting MVA changes before and after PMBV in 5572 MS patients.
Fig. 3Meta-analysis of 31 studies reporting MPG changes before and after PMBV in 5223 MS patients.
Fig. 4Meta-analysis of 24 studies reporting SPAP changes before and after PMBV in 4146 MS patients.