| Literature DB >> 35027577 |
Meng Zhao1, Yihu Tang1, Luo Li1, Yawei Dai1, Jieyu Lu2, Xiang Liu1, Jingxin Zhou3, Yanhu Wu4.
Abstract
Valvuloplasty for rheumatic aortic valve disease remains controversial. We conducted this study to explore whether aortic valvuloplasty is appropriate for the rheumatic population. A comprehensive search was conducted, and 7 eligible retrospective studies were identified from PubMed, Embase, Medline and Cochrane (up to April 7, 2020) according to the inclusion and exclusion criteria. The data for hospital mortality, 5-year survival, 5-year reoperation, aortic insufficiency grade (AIG) and aortic valve gradient (AVG) were extracted by 2 independent reviewers and were analysed to evaluate the safety and availability of aortic valvuloplasty for rheumatic patients. The heterogeneity of the results was estimated using the Q test and I2 statistics. The fixed pooling model was used when I2 ≤ 50%; otherwise, the random pooling model was selected. 7 articles with 418 patients were included. The pooled hospital mortality, 5-year survival and 5-year reoperation rates were 3.2%, 94.5% and 9.9%, respectively. The heterogeneities of the weighted mean differences (WMD) values of the AIG and AVG between preoperation and postoperation were extremely high (I2 = 81.5%, p < 0.001 in AIG, I2 = 97.6%, p = 0.003 in AVG). Subgroup analysis suggested that the AIG and AVG were improved by 3.03 grades (I2 = 0%, p < 0.001) and 3.16 mmHg (I2 = 0%, p < 0.001) in the European group, respectively. In the Asian group, the AIG and AVG were improved by 2.57 grades (I2 = 0%, p < 0.001) and 34.39 mmHg (I2 = 0%, p < 0.001), respectively. Compared with the values at discharge, the AIG was increased by 0.15 grades (I2 = 0%, p = 0.031) and the AVG was still decreased by 2.07 mmHg (I2 = 0%, p = 0.031) at the time of follow up. Valvuloplasty is safe and effective to treat rheumatic aortic insufficiency and stenosis, and the duration of maintenance required to improve stenosis was longer than that of insufficiency.Entities:
Mesh:
Year: 2022 PMID: 35027577 PMCID: PMC8758716 DOI: 10.1038/s41598-021-04040-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flow diagram of this systematic review and meta-analysis.
Characteristics of the included studies.
| First author | Year | Location | Sample size | Mean age ± SD | survival | Time of testing mean AIG | Time of testing mean AVG |
|---|---|---|---|---|---|---|---|
| Jean-Michel Grinda | 2002 | Europe | 89 | 16 ± 5 | OS | Preoperation, discharge and follow up | NA |
| Afksendiyos Kalangos | 1998 | Europe | 41 | 11.5 ± 2.7 | OS | Preoperation, discharge and follow up | Preoperation, discharge and follow up |
| Sachin Talwar | 2005 | Asia | 61 | 23.7 ± 9.3 | OS | Preoperation and follow up | NA |
| C.M. G. Durba | 1988 | Europe | 50 | 39.5 | OS | Preoperation | NA |
| Nilgün Bozbuga | 2004 | Asia | 46 | 31.5 ± 12.2 | OS | Preoperation, discharge and follow up | Preoperation, discharge and follow up |
| José M. Bernal | 1997 | Europe | 53 | 40.8 ± 11.6 | OS | Preoperation and follow up | NA |
| Patrick O. Myers | 2010 | Europe | 78 | 12 ± 3.5 | OS | Preoperation and follow up | Preoperation, discharge and follow up |
OS overall survival, AIG aortic insufficiency grade, AVG aortic valve gradient, NA not available.
Figure 2Forest plot of pooled hospital mortality (A), 5-year survival (B) and 5-year reoperation rates (C). ES effect size, CI confidence interval.
Figure 3Forest plot of WMD of AIG (A) and AVG (B) between pre- and post-operation. WMD weighted mean differences, CI confidence interval.
Figure 4Subgroup analysis of AIG and AVG between pre- and post-operation: (A) AIG in European group; (B) AVG in European; (C) AIG in Asian group; (D) AVG in Asian group. WMD weighted mean differences, CI confidence interval.
Figure 5Forest plot of WMD of AIG (A) and AVG (B) between discharge and follow up. WMD weighted mean differences, CI confidence interval.
Quality assessment of each study.
| First author | Article types | Comparison | Data integrity | Follow-up completed | Follow-up time | Quality |
|---|---|---|---|---|---|---|
| Jean-Michel Grinda | 1 | 1 | 1 | 1 | 1 | Medium |
| Afksendiyos Kalangos | 1 | 1 | 2 | 1 | 2 | Good |
| Sachin Talwar | 1 | 1 | 1 | 1 | 3 | Good |
| C.M. G. Durba | 1 | 0 | 1 | 1 | 2 | Medium |
| Nilgün Bozbuga | 1 | 1 | 2 | 1 | 2 | Good |
| José M. Bernal | 1 | 1 | 1 | 1 | 2 | Medium |
| Patrick O. Myers | 1 | 1 | 2 | 1 | 2 | Good |
Figure 6Sensitivity analysis of studies on hospital mortality.