Literature DB >> 34734421

Association between bicuspid aortic valve phenotype and patterns of valvular dysfunction: A meta-analysis.

Zhenzhen Mai1, Lina Guan1, Yuming Mu1.   

Abstract

BACKGROUND: Valvular dysfunction is a common complication in patients with bicuspid aortic valves (BAV). The aim of this study was to determine the relationship between BAV morphology patterns and valve dysfunction.
METHODS: We searched the PubMed, The Cochrane Library, Web of Science, and CNKI until May 31, 2020, to identify all studies investigating the morphology of BAV and valvular dysfunction, and data were extracted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Data were analyzed using Stata 15.1 software. The additional characteristics (gender, mean age) were collected to perform a meta-regression analysis.
RESULTS: Thirteen studies on BAV-RL (n = 2002) versus BAV-RN (n = 1254) and raphe (n = 4001) versus without raphe (n = 673) were included. The BAV-RL patients showed a higher incidence of aortic regurgitation than BAV-RN patients (OR = 1.46; 95% CI: 1.12 to 1.90, p = .005), while the BAV-RL patients showed a lower incidence of aortic stenosis than BAV-RN patients (OR = 0.66, 95% CI: 0.58 to 0.76, p = .000); BAV patients with raphe presents a higher incidence of aortic regurgitation than those without raphe (OR = 1.95, 95% CI: 1.12-3.39, p = .017). No differences were found between raphe and without raphe group in the incidence of aortic stenosis (OR = 0.97, 95% CI: 0.53 to 1.76, p = .907). Mean age and gender had no influence on observed differences.
CONCLUSIONS: Our results confirmed a relationship between different BAV phenotypes and aortic valve dysfunction. BAV-RL and BAV with raphe are more likely to develop aortic regurgitation, while patients with BAV-RN present a higher possibility to develop aortic stenosis.
© 2021 The Authors. Clinical Cardiology published by Wiley Periodicals LLC.

Entities:  

Keywords:  aortic regurgitation; aortic stenosis; bicuspid aortic valve; meta-analysis

Mesh:

Year:  2021        PMID: 34734421      PMCID: PMC8715397          DOI: 10.1002/clc.23736

Source DB:  PubMed          Journal:  Clin Cardiol        ISSN: 0160-9289            Impact factor:   2.882


INTRODUCTION

The bicuspid aortic valve (BAV) is the most common congenital cardiac defect that observed in 1%–2% of general population, with a male to female ratio of about 3:1. Patients with BAV are at a high risk of developing aortic valve dysfunction, either stenosis or regurgitation, or both. Studies have suggested that 33% of patients with BAV will suffer serious and life‐threatening complications in their lifetime. Therefore, early detection and prevention of the complications caused by BAV are of paramount importance. BAV appears to be inherited in an autosomal dominant fashion with incomplete penetrance. It has been postulated that the defective genes encoding the protein matrix structure could be responsible for developmental impairment of heart, and leading to valvular abnormalities. , , BAV presents several phenotypes, and an animal experiment demonstrated that different BAV phenotypes are caused by different developmental processes, suggesting that different BAV phenotypes should be considered as different etiological entities with different valvular lesions, aortic size, and elasticity. Thus, more credit should be given to the association between BAV phenotypes with valvular dysfunction. The most common BAV pattern is fusion of the right and left coronary cusps, and fusion of the right and noncoronary cusps. , Previous evidence suggests that various BAV types, distinguished by the morphology of the valve cusp fusion, may carry different relationships with valvular dysfunction; however, the published literature is incoherent in this regard. Several studies have reported an increased frequency of significant valvulopathy in pediatric patients with right and left coronary cusps fusion, while another longitudinal follow‐up study claimed that BAV phenotype failed to demonstrate a prognostic implication.

AIM OF THE STUDY

Therefore, the purpose of our study was to evaluate the impact of different BAV cusp fusion morphology on the incidence of valvular dysfunction, and provide clues and evidence for early clinical diagnosis and prevention of complications.

METHODS

Search strategy

A systematic search was performed in the electronic databases (PubMed, The Cochrane Library, Web of Science, and CNKI), using the following search terms in all possible combinations: bicuspid aortic valve, aortic regurgitation, aortic stenosis, valve dysfunction. Articles were rejected on initial screening if from the title or the abstract it was judged that the article does not report aortic valve dysfunction and BAV morphology. Subsequently, the full text of the remaining articles was retrieved. All the references were also scanned. The particular studies were examined to exclude duplicated and overlapped data. Finally, only studies evaluating aortic stenosis and aortic regurgitation were included. In case of missing data, the authors were contacted by e‐mail to try to retrieve the original data. Each article was analyzed by two independent individuals and data extraction was done independently. In case of disagreement, a third investigator was consulted. Discrepancies were resolved by consensus. Data extraction was conducted according to the Preferred Reporting Items for Systematic reviews and Meta‐Analyses (PRISMA) (Figure 1).
FIGURE 1

Flow diagram for study selection. This flow chart shows the initial search results and final review of 11studies after consideration of exclusions

Flow diagram for study selection. This flow chart shows the initial search results and final review of 11studies after consideration of exclusions

Study selection and data extraction

Inclusion criteria were as follows: (1) the domestic and foreign published literature, all studies that participants were diagnosed as BAV by TTE or TEE or CT; (2) An information about the morphology of BAV (RL morphology and RN morphology) according to previously mentioned definition and information related to valve dysfunction. (3) More complete raw data is available in the literature for calculation of odds ratio (OR). Exclusion criteria were as follows: (1) No data on the BAV morphology and valve dysfunction, or there is not enough data available for odds ratio (OR) calculations; (2) Review article, case studies, animal experiments, and conference abstracts. (3) Research that not able to access the full text through various channels is only an abstract. The following data were also extracted from each study: first author, year of publication, used imaging modality, study population characteristics including mean age, male gender percentage, sample size (number of subjects in particular BAV subtypes), number of patients with AS, and number of patients with AR.

Statistical analyses and risk of bias assessment

The presented meta‐analysis was performed using Statistica 15.1. The frequency variable is expressed as n (%). Differences among AS and AR between the two types of BAV patients were expressed as odds ratio (OR) with pertinent 95% CI for dichotomous variables. Overall effect was tested using Z scores, and significance was set at p < .05. Statistical heterogeneity among studies was assessed with the chi‐square Cochran's Q test and with the I2 statistic, which measures the inconsistency across study results and describes the proportion of total variation in study estimates. To evaluate the individual impact of each study on the overall effect size, sensitivity analysis was conducted using the leave‐one‐out approach, by estimating the weighted mean difference in the absence of each single study. The presence of publication bias was evaluated using Egger's weighted regression tests and Begg's rang correlation. Publication bias was evaluated visually by inspection of funnel plots of SE and mean difference asymmetry. Visual inspection of funnel plot asymmetry was performed to address for possible small‐study effect, as well as the Egger test to address publication bias, over and above any subjective evaluation. p < .05 was considered statistically significant.

RESULTS

Search results and study characteristics

The total of 2376 articles were searched from PubMed, The Cochrane Library, Web of Science, and CNKI. Articles that abstracts and titles were irrelevant to our objection were excluded during the initial screening. Then, full texts of 23 articles were analyzed. At last, 13 , , , , , , , , , , , , articles meet the inclusion criteria. The number of patients varied from 67 to 785, mean age ranged from 17.2 to 59 years, and the prevalence of male sex is from 60% to 78%. The following imaging modalities were used in analyzed studies: transthoracic echocardiography (TEE), transesophageal echocardiography (TTE), computed tomography (CT), and complex MDCT/TEE imaging. The baseline characteristics of the all included studies are presented in Tables 1 and 2.
TABLE 1

Description of the studies included into the analysis of AS associated with BAV morphology

ReferenceTimeImagingCountryRLRNMean age (y)Man (%)
ASNASN
Sun 21 2017TTE/TEEKorea26936129232059 ± 1262.0
Ruzmetov 17 2015TTEUS27965611417.2 ± 9.960.0
Ren XS 24 2017TTEChina37125497450.3 ± 3.865.5
Miśkowiec 15 2016TTE/TEEPoland2646152155.3 ± 6.778.0
Tabriziet 19 2018TTE/TEEIran511886311240 ± 1672.0
Kang 14 2013TTE/CTKorea4393497454.6 ± 4.468.9
Hong 22 2014TTE/CTKorea33192378051.7 ± 4.472.7
Huang 16 2013TTESingapore27117257448.4 ± 5.867.0
Tuluce 20 2017TTE/TEETurkey42105334937 (17–70)71.4
Wei Liqun 23 2018TTEChina558910314152.6 ± 5.051.6
Evangelist 18 2017TTESpain1465905819547.4 ± 6.870.2
AR N AR N
Sun 21 2017TTE/TEEKorea1443617132059 ± 1262.0
Ruzmetov 17 2015TTEUS40966011417.2 ± 9.960.0
Ren XS 24 2017TTEChina74125137450.3 ± 3.865.5
Miśkowiec 15 2016TTE/TEEPoland4246182155.3 ± 6.778.0
Tabriziet 19 2018TTE/TEEIran1501887711240 ± 1672.0
Kang 14 2013TTE/CTKorea319357454.6 ± 4.468.9
Hong 22 2014TTE/CTKorea58192118051.7 ± 4.472.7
Huang 16 2013TTESingapore49117267448.4 ± 5.867.0
Tuluce 20 2017TTE/TEETurkey75105364937 (17–70)71.4
Wei Liqun 23 2018TTEChina44893914152.6 ± 5.051.6
Evangelist 18 2017TTESpain1465904419547.4 ± 6.870.2
TABLE 2

Description of the studies included into the analysis of valvular dysfunction associated with BAV morphology (Raphe+ vs. Raphe−)

ReferenceTimeImagingCountryRaphe+Raphe−Mean age (y)Man (%)
ASNASN
Kong 25 2017TTENetherlands72118815123747.0 ± 8.072.0
Sievers 26 2014NAGermany55012476411554.2 ± 3.476.7
Ren XS 24 2017TTEChina25109618850.3 ± 3.865.5
Hong 22 2014TTE/CTKorea50120508951.7 ± 4.472.7
Evangelist 18 2017TTESpain1666441614447.4 ± 6.872.0
AR N AR N
Kong 25 2017TTENetherlands1443617132047.0 ± 8.072.0
Sievers 26 2014NAGermany40966011454.2 ± 3.476.7
Ren XS 24 2017TTEChina74125137450.3 ± 3.865.5
Hong 22 2014TTE/CTKorea4246182151.7 ± 4.472.7
Evangelist 18 2017TTESpain1501887711247.4 ± 6.872.0

Abbreviations: AR, aortic regurgitation (at least moderate); AS, aortic stenosis (at least moderate); CT, computed tomography; NA, data not available; RL, right and left cusp fusion bicuspid aortic valve morphology; RN, right and noncoronary cusp fusion bicuspid aortic valve morphology; TTE, transthoracic echocardiography.

Description of the studies included into the analysis of AS associated with BAV morphology Description of the studies included into the analysis of valvular dysfunction associated with BAV morphology (Raphe+ vs. Raphe−) Abbreviations: AR, aortic regurgitation (at least moderate); AS, aortic stenosis (at least moderate); CT, computed tomography; NA, data not available; RL, right and left cusp fusion bicuspid aortic valve morphology; RN, right and noncoronary cusp fusion bicuspid aortic valve morphology; TTE, transthoracic echocardiography.

Correlation between BAV morphology(RL and RN)and aortic stenosis

Eleven studies, , , , , , , , , , , including 2002 BAV‐RL and 1254 BAV‐RN patients, showed that AS was reported in 37.8% BAV‐RL subjects and in 62.1% BAV‐RN patients (OR = 0.66; 95% CI: 0.58 to 0.76; p = .000), the difference was statistically significant. Heterogeneity among studies was not significant (I2 = 28.4%; p = .124). The combined effect quantity OR was determined using a fixed effect model. Fixed effects meta‐regression suggests that age (slope: 0.01; 95% CI: −0.01–0.03; Z = −0.59; p = .396), male gender (slope: −0.02; 95% CI: −0.04–0.01; Z = 0.46; p = .122) does not associated with the incidence of aortic regurgitation. Forest plot summarizing the meta‐analysis of studies comparing aortic stenosis between RL and RN BAV groups is shown in Figure 2A.
FIGURE 2

Forest plots. (A) Incidence of Aortic stenosis in patients with RL BAV and RN BAV; (B) Incidence of aortic regurgitation in patients with RL BAV and RN BAV. RL = right and left cusp fusion of bicuspid aortic valve; RL = right or left and noncoronary cusp fusion of bicuspid aortic valve; 95% CI = 95% confidence interval

Forest plots. (A) Incidence of Aortic stenosis in patients with RL BAV and RN BAV; (B) Incidence of aortic regurgitation in patients with RL BAV and RN BAV. RL = right and left cusp fusion of bicuspid aortic valve; RL = right or left and noncoronary cusp fusion of bicuspid aortic valve; 95% CI = 95% confidence interval

Correlation between BAV morphology (RL and RN) and aortic regurgitation

In 11 studies, , , , , , , , , , , including 2002 BAV‐RL and 1254 BAV‐RN patients, AR was reported in 42.6% of BAV‐RL subjects and 31.9% BAV‐RN patients (OR = 1.46; 95% CI: 1.12 to 1.90; p = .005), the difference was statistically significant. Heterogeneity among studies was significant (I2 = 65.0%; p = 0.001). Random‐effects meta‐regression suggests that age (slope: 0.02; 95% CI:−0.01–0.05; Z = −0.59; p = .215), male gender (slope: 0.01; 95% CI: −0.05–0.06; Z = −0.59; p = .767) does not associated with the incidence of aortic regurgitation. Forest plot summarizing the meta‐analysis of studies comparing aortic regurgitation between RL and RN BAV groups is shown in Figure 2B.

Correlation between BAV morphology (raphe vs. without raphe) with aortic regurgitation

Five studies, , , , , including 4674 patients, exhibit 4001 (85.6%) BAV patients has raphe, and 673 (14.4%) BAV patients are without raphe. Bicuspid aortic valves with raphe had a higher frequency to develop aortic regurgitation (28.9% vs. 21.4%; OR = 1.67; 95% CI: 1.04–2.67, p = .032). Heterogeneity among studies was significant (I2 = 80.3%, p = .001), the combined effect quantity OR was determined using Random effect model. Forest plot summarizing the meta‐analysis of studies comparing aortic regurgitation between raphe and without raphe BAV groups is shown in Figure 3A.
FIGURE 3

Forest plots. (A) Forest plot diagram of correlation between bicuspid aortic valve classification (Raphe vs. Nonraphe) and aortic regurgitation (AR); (B). Forest plot diagram of correlation between bicuspid aortic valve classification (Raphe vs. Nonraphe) and aortic stenosis (AS)

Forest plots. (A) Forest plot diagram of correlation between bicuspid aortic valve classification (Raphe vs. Nonraphe) and aortic regurgitation (AR); (B). Forest plot diagram of correlation between bicuspid aortic valve classification (Raphe vs. Nonraphe) and aortic stenosis (AS)

Correlation between BAV morphology (raphe vs. without raphe) with aortic stenosis

Five studies , , , , demonstrated that bicuspid aortic valves with or without raphe do not affect the incidence of developing aortic stenosis (37.8% vs. 36.0%, OR = 0.96, 95% CI: 0.53–1.76, p = .907). Heterogeneity among studies was significant (I2 = 90.3%; p = 0.000), the combined effect quantity OR was determined using Random effect model. Forest plot summarizing the meta‐analysis of studies comparing aortic stenosis between raphe and without raphe BAV groups is shown in Figure 3B.

Sensitivity analysis

Presented pooled results were found to be robust in the performed leave‐one‐out sensitivity analysis, removing 1 study at a time. Obtained stability of the presented results confirms a significant difference in the frequency of aortic stenosis and aortic regurgitation between the BAV‐RL and BAV‐RN groups. For the analysis of the association between BAV phenotype and aortic stenosis, I2 ranged from 8.5% to 42.7%, showing increased heterogeneity (Table S1). For the analysis of the association between BAV phenotype and aortic regurgitation, I2 ranged from 60.0% to 69.5%, the results did not differ from the previous ones. (Table S2).

Publication bias analysis

Because it is recognized that publication bias can affect results of meta‐analyses, we attempted to assess this potential bias using funnel plot visual analysis. Our results suggest that there is no potential bias for the comparison of BAV‐RL and BAV‐RN in aortic stenosis and aortic regurgitation. The Begg rank correlation test (Kendall tau with continuity correction: Pr > |z| = 0.53, Z = 0.62) and the Egger linear regression test (intercept: −1.71, 95% CI: −3.7 to 0.35; t = −1.88, p > |t| = .093) exhibit no evidence of publications bias when comparing the incidence of aortic stenosis between BAV‐RL and BAV‐RN patients. Moreover, the Begg rank correlation analysis (Kendall tau with continuity correction: Pr > |z| = 0.35, Z = 0.93), and the Egger linear regression test (intercept: 1.8, 95% CI: −1.87 to 5.62; t = 1.13, p > |t| = 0.287) suggested also no evidence of publications bias when comparing the incidence of aortic stenosis between BAV‐RL and BAV‐RN patients.

DISCUSSION

Our meta‐analysis shows that BAV patients with right and left cusp fusion are incline to develop aortic regurgitation, while patients with right and noncoronary cusp fusion are more likely to develop aortic stenosis. Moreover, bicuspid aortic valves with raphe showed a higher incidence of aortic regurgitation. However, with or without raphe does not affect the incidence of aortic stenosis. This meta‐analysis is the first to assess the effect of BAV phenotype on valvular dysfunction differences. BAV has diverse morphologic variants, and might result in different pathogenesis and clinical manifestations, the BAV phenotype has been an interesting topic for many investigators. There are multiple classifications of the pathological types of bicuspid aortic valve malformations, and the most common classification is based on the presence or absence of fused spine formation, leaflet fusion type, and leaflet spatial location. This study classifies the presence or absence of fused spine formation and type of leaflet fusion. The most common complication of the BAV in adults is AV dysfunction necessitating surgical aortic repair or AV replacement (AVR) (population‐based 25‐year risk of AVR is up to 53%), and is most commonly driven by presence of severe AS followed by severe aortic regurgitation (AR) and mixed AV disease. As a cause of AVR, AS has been reported between 61% and 88% in population‐based studies and studies from tertiary‐referral centers, conversely, AR is only responsible for 15 and 29% AV surgery. Some studies have suggested a BAV phenotype role in the rapid progression of valvular dysfunction. Because of the early and rapid progression of valvular lesions in patients with BAV malformation, the age of the patients undergoing surgery is about 10 years younger than the normal population. In addition, analysis of BAV morphology is of prognostic relevance, Fernandes et al. demonstrated a 64% free from intervention in patients with fusion of the R‐N. However, in patients with fusion of the R‐L, 91% free from intervention was noted. Therefore, the purpose of our meta‐analysis was to evaluate the impact of BAV morphology on valve dysfunction, use morphological differences to predict the trend of complications. Because a raphe is commonly seen in patients with BAV, the clinical significance of raphe is of interest. A global registry showed that the presence of a visible raphe is associated with significant (moderate or greater) AS and AR and higher future incidence of AVR. Furthermore, BAV patients with raphe had higher rates of AVR compared with patients without raphe. It is reported that the raphe of a BAV and a higher tendency for calcium deposition are important causes of significant valve dysfunction. Therefore, patients with BAV with raphe tend to develop significant valvular dysfunction at a younger age. Our meta‐analysis found that aortic regurgitation was more frequently observed among patients with raphe. In addition, evaluation of inter‐ethnic differences in valve morphology and function in patients with BAV is important for the worldwide spread of transcatheter aortic valve replacement (TAVR). Kong et al. reported that there is significant heterogeneity in BAV across European and Asian population, type 0 (without raphe) is more frequently observed in Europeans and fusion raphe between the right and the noncoronary cusps is more frequently observed in Asians. The European group had higher incidence of significant aortic regurgitation than the Asian group (44.2% vs. 26.8%, respectively; p < .001). There was no difference in the grades of aortic stenosis between these two populations. BAV patients show obvious heterogeneity in many different clinical aspects, including the BAV phenotype and the severity of valve dysfunction. From a clinical point of view, our study confirms some practical implications. When studying BAV patients, the imaging should be not only focused on the type of valvular dysfunction, but should be also performed a very careful scrutiny of the BAV phenotype, seeking all the spectrum of aortic valve malformations, having in mind that BAV phenotype can directly affect the type of valvular dysfunction. Information about BAV morphology may help to facilitate more individualized patient management and risk stratification. Further study is necessary to determine why the distribution of valvular dysfunction differed according to BAV morphology. The present meta‐analysis has some limitations. First, due to the limited number of studies included, the heterogeneity of the studies about the relationship between the BAV and aortic regurgitation is greater, and the source of heterogeneity is not further analyzed. However, we have at least partially reduced the effect of observed heterogeneity on the overall effect size by selecting a random effects model analysis. Second, there is inevitably a risk shift in the study of any population, especially the confounder in retrospective studies. These differences may be responsible for the heterogeneity between studies. Third, a systematic approach to the detailed classification of BAV should be routinely applied in clinical practice to provide new insights into this common disease entity in the future. Our results confirmed a relationship between different BAV phenotypes and aortic valve dysfunction. BAV‐RL and BAV with raphe are more likely to develop aortic regurgitation, while patients with BAV‐RN present a higher possibility to develop aortic stenosis.

CONFLICT OF INTEREST

The authors declare no potential conflict of interests. Appendix S1: Supporting Information Click here for additional data file.
  29 in total

Review 1.  Bicuspid aortic valve aortopathy: genetics, pathophysiology and medical therapy.

Authors:  Nada Abdulkareem; Jeremy Smelt; Marjan Jahangiri
Journal:  Interact Cardiovasc Thorac Surg       Date:  2013-05-31

2.  Bicuspid aortic valves with different spatial orientations of the leaflets are distinct etiological entities.

Authors:  Borja Fernández; Ana C Durán; Teresa Fernández-Gallego; M Carmen Fernández; Miguel Such; Josep M Arqué; Valentín Sans-Coma
Journal:  J Am Coll Cardiol       Date:  2009-12-08       Impact factor: 24.094

3.  Characteristics of aortic valve dysfunction and ascending aorta dimensions according to bicuspid aortic valve morphology.

Authors:  Hong Ju Shin; Je Kyoun Shin; Hyun Kun Chee; Jun Suk Kim; Sung Min Ko
Journal:  Eur Radiol       Date:  2015-01-16       Impact factor: 5.315

Review 4.  Aortic dilatation in patients with bicuspid aortic valve.

Authors:  Subodh Verma; Samuel C Siu
Journal:  N Engl J Med       Date:  2014-05-15       Impact factor: 91.245

Review 5.  A roadmap to investigate the genetic basis of bicuspid aortic valve and its complications: insights from the International BAVCon (Bicuspid Aortic Valve Consortium).

Authors:  Siddharth K Prakash; Yohan Bossé; Jochen D Muehlschlegel; Hector I Michelena; Giuseppe Limongelli; Alessandro Della Corte; Francesca R Pluchinotta; Maria Giovanna Russo; Artur Evangelista; D Woodrow Benson; Simon C Body; Dianna M Milewicz
Journal:  J Am Coll Cardiol       Date:  2014-08-26       Impact factor: 24.094

6.  Prognostic Implications of Raphe in Bicuspid Aortic Valve Anatomy.

Authors:  William K F Kong; Victoria Delgado; Kian Keong Poh; Madelien V Regeer; Arnold C T Ng; Louise McCormack; Tiong Cheng Yeo; Miriam Shanks; Sarah Parent; Roxana Enache; Bogdan A Popescu; Michael Liang; James W Yip; Lawrence C W Ma; Vasileios Kamperidis; Philippe J van Rosendael; Enno T van der Velde; Nina Ajmone Marsan; Jeroen J Bax
Journal:  JAMA Cardiol       Date:  2017-03-01       Impact factor: 14.676

7.  Bicuspid aortic valve morphology and its association with aortic diameter: an echocardiographic study.

Authors:  Dawid Ł Miśkowiec; Piotr Lipiec; Jarosław D Kasprzak
Journal:  Kardiol Pol       Date:  2015-07-23       Impact factor: 3.108

8.  Anatomical and clinical predictors of valve dysfunction and aortic dilation in bicuspid aortic valve disease.

Authors:  Arturo Evangelista; Pastora Gallego; Francisco Calvo-Iglesias; Javier Bermejo; Juan Robledo-Carmona; Violeta Sánchez; Daniel Saura; Roman Arnold; Amelia Carro; Giuliana Maldonado; Augusto Sao-Avilés; Gisela Teixidó; Laura Galian; José Rodríguez-Palomares; David García-Dorado
Journal:  Heart       Date:  2017-09-01       Impact factor: 5.994

Review 9.  Bicuspid aortic valve: identifying knowledge gaps and rising to the challenge from the International Bicuspid Aortic Valve Consortium (BAVCon).

Authors:  Hector I Michelena; Siddharth K Prakash; Alessandro Della Corte; Malenka M Bissell; Nandan Anavekar; Patrick Mathieu; Yohan Bossé; Giuseppe Limongelli; Eduardo Bossone; D Woodrow Benson; Patrizio Lancellotti; Eric M Isselbacher; Maurice Enriquez-Sarano; Thoralf M Sundt; Philippe Pibarot; Artur Evangelista; Dianna M Milewicz; Simon C Body
Journal:  Circulation       Date:  2014-06-24       Impact factor: 29.690

10.  Evaluation of relationship between bicuspid aortic valve phenotype with valve dysfunction and associated aortopathy.

Authors:  Mehrnoush Toufan Tabrizi; Roghaieh Rahimi Asl; Soheyla Nazarnia; Leili Pourafkari
Journal:  J Cardiovasc Thorac Res       Date:  2018-12-13
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  1 in total

1.  Association between bicuspid aortic valve phenotype and patterns of valvular dysfunction: A meta-analysis.

Authors:  Zhenzhen Mai; Lina Guan; Yuming Mu
Journal:  Clin Cardiol       Date:  2021-11-03       Impact factor: 2.882

  1 in total

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