Risk stratification by systemic manifestations secondary to hemodynamic disorders of patients with severe tricuspid regurgitation.

BACKGROUND: Tricuspid regurgitation (TR) is a prevalent disease that triggers systemic pathological changes including cardiac, respiratory, hepatic and digestive, hematopoietic, renal and skin issues. The burden of extra-cardiac manifestations has not been well described in TR patients and the clinical impact is unknown. METHODS: Patients with severe or more-than-severe TR during hospitalization, who did not have any previous cardiac procedures, hemodynamically significant congenital heart disease or concomitant severe aortic or mitral valve disease, were retrospectively analyzed. Pre-specified criteria and diagnosis of baseline characteristics were used to evaluate the presence of extra-cardiac manifestations secondary to TR after excluding comorbidities that may also lead to corresponding abnormalities. Extra-cardiac involvements encompass respiratory, hepatic and, digestive, renal, hematopoietic and dermatic system. Staging criteria are defined as no extra-cardiac system involvement in Stage 1, one in Stage 2, at least two extra-cardiac involvements in Stage 3 and any end-stage organ failure in Stage 4. A telephone follow-up was conducted to record the composite endpoint namely all-cause death or cardiac rehospitalization after the index hospitalization. RESULTS: A total of 258 patients were identified with a median age of 73 (interquartile range [IQR]: 62-83) years and 52.3% were female. Severe TR and more-than-severe TR patients accounted for 92.6% and 7.4% of the cohort. There were 20.5%, 27.5%, 37.6% and 14.3% of patients from Stage 1 to 4 respectively. The follow-up time was at a median of 251 (IQR: 183-324) days. TR Patients in Stage 3&4 were at an increased risk with borderline statistical significance to experience the composite endpoint compared to patients in Stage 1&2 (odds ratio [OR] 1.9, 95% confidence interval [CI] 1.0 to 3.7, P = 0.049). CONCLUSIONS: Approximately half of patients with at least severe TR presented with two or more extra-cardiac systemic manifestations, which may incur a 1.9-fold higher risk of all-cause death or cardiac rehospitalization than TR patients with one or less extra-cardiac involvement.

Concomitant aortic regurgitation predicts better left ventricular reverse remodeling after transcatheter aortic valve replacement.

BACKGROUND: We aim to determine predictors of inadequate left ventricular mass index (LVMi) regression at mid-term after transcatheter aortic valve replacement (TAVR), including the potential role of epicardial adipose tissue (EAT). METHODS: We retrospectively reviewed patients with both echocardiographic assessments and multi-slice computed tomography (MSCT) obtained one year after TAVR. The change of LVMi, the volume and the average CT attenuation of EAT from baseline to one-year follow-up was calculated. Patients were divided into two groups by the percentage change of LVMi at a cut-off of 15%. RESULTS: A total of 152 patients were included with a median age of 74 years (interquartile range [IQR] 69-78 years) and 56.6% being male. LVMi decreased (P < 0.0001) while EAT volume increased and the average CT attenuation decreased (both P < 0.0001) at one year. Baseline atrial fibrillation (P = 0.042), mitral regurgitation ≥ mild (P = 0.006), aortic regurgitation (AR) > mild (P = 0.001) and the change in the average CT attenuation of EAT (P = 0.026) were different between the decrease of LVMi ≥ 15% and < 15%. AR > mild at baseline was the only statistically significant predictor of a decrease of LVMi < 15% at one year (OR 0.33, 95% CI: 0.13 to 0.84, P = 0.021) in multivariate regression. CONCLUSIONS: Concomitant more-than-mild AR might predict better left ventricular reverse remodeling regression after TAVR.

Automatic coronary artery segmentation and diagnosis of stenosis by deep learning based on computed tomographic coronary angiography.

OBJECTIVES: Coronary computed tomography angiography (CCTA) has rapidly developed in the coronary artery disease (CAD) field. However, manual coronary artery tree segmentation and reconstruction are time-consuming and tedious. Deep learning algorithms have been successfully developed for medical image analysis to process extensive data. Thus, we aimed to develop a deep learning tool for automatic coronary artery reconstruction and an automated CAD diagnosis model based on a large, single-centre retrospective CCTA cohort. METHODS: Automatic CAD diagnosis consists of two subtasks. One is a segmentation task, which aims to extract the region of interest (ROI) from original images with U-Net. The second task is an identification task, which we implemented using 3DNet. The coronary artery tree images and clinical parameters were input into 3DNet, and the CAD diagnosis result was output. RESULTS: We built a coronary artery segmentation model based on CCTA images with the corresponding labelling. The segmentation model had a mean Dice value of 0.771 ± 0.021. Based on this model, we built an automated diagnosis model (classification model) for CAD. The average accuracy and area under the receiver operating characteristic curve (AUC) were 0.750 ± 0.056 and 0.737, respectively. CONCLUSION: Herein, using a deep learning algorithm, we realized the rapid classification and diagnosis of CAD from CCTA images in two steps. Our deep learning model can automatically segment the coronary artery quickly and accurately and can deliver a diagnosis of ≥ 50% coronary artery stenosis. Artificial intelligence methods such as deep learning have the potential to elevate the efficiency in CCTA image analysis considerably. KEY POINTS: • The deep learning model rapidly achieved a high Dice value (0.771 ± 0.0210) in the autosegmentation of coronary arteries using CCTA images. • Based on the segmentation model, we built a CAD autoclassifier with the 3DNet algorithm, which achieved a good diagnostic performance (AUC) of 0.737. • The deep neural network could be used in the image postprocessing of coronary computed tomography angiography to achieve a quick and accurate diagnosis of CAD.

The Relationship of Mitral Annulus Shape at CT to Mitral Regurgitation after Transcatheter Aortic Valve Replacement.

Background There are conflicting results over the improvement rate and predictors of mitral regurgitation in patients undergoing transcatheter aortic valve replacement (TAVR). Purpose To define the cause, degree of improvement, and improvement predictors of moderate to severe mitral regurgitation in patients undergoing TAVR by using a simplified D-shaped mitral annulus model derived from multisection CT (MSCT). Materials and Methods This retrospective cohort study included 528 consecutive patients who underwent TAVR between April 2012 and October 2019. Patients with previous surgical aortic valve replacement and those with moderate or severe mitral stenosis were excluded. A total of 104 patients with moderate to severe mitral regurgitation met the inclusion criteria and were included in the final analysis. At least one grade reduction in the severity of mitral regurgitation was considered indicative of mitral regurgitation improvement after TAVR. Up to 5-year post-TAVR follow-up of mitral regurgitation improvement was evaluated. Mitral annular dimensions (annular area, circumference, and trigone-to-trigone, intercommissural, and anteroposterior distances) and annular calcification were assessed at MSCT with use of dedicated postprocessing software. Associations with mitral regurgitation improvement after TAVR were explored. Results A total of 104 patients with concomitant mitral regurgitation who underwent TAVR (mean age, 74 years ± 7; 61 men) were included in the study. Mitral regurgitation improved in 79 patients after TAVR and remained unchanged in the remaining 25 patients. Maximum improvement was observed in the 1st year after TAVR. D-shaped mitral annular parameters, including annular circumference (odds ratio [OR], 1.05; 95% CI: 1.01, 1.1; P = .02) and trigone-to-trigone (OR, 1.2; 95% CI: 1.03, 1.39; P = .02) and intercommissural (OR, 1.15; 95% CI: 1.02, 1.31; P = .02) distances, were related to mitral regurgitation improvement. In addition, patients with coronary artery disease had greater improvement in mitral regurgitation after TAVR (OR, 0.17; 95% CI: 0.04, 0.76; P = .02). Primary mitral regurgitation (OR, 5.1; 95% CI: 1.1, 24; P = .04) and D-shaped annular circumference (OR, 1.06; 95% CI: 1, 1.11; P = .04) were independent predictors of less mitral regurgitation improvement after TAVR. Conclusion Concomitant mitral regurgitation in patients undergoing transcatheter aortic valve replacement (TAVR) tends to improve after the procedure, with maximum improvement in the 1st year after TAVR. D-shaped annular circumference and primary mitral regurgitation were independent predictors of less mitral regurgitation improvement after TAVR. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Collins in this issue.

Variation of computed tomographic angiography-based fractional flow reserve after transcatheter aortic valve implantation.

OBJECTIVES: We sought to identify the impact of transcatheter aortic valve implantation (TAVI) on changes of fractional flow reserve computed tomography (FFRCT) values and the associated clinical impact. METHODS: A retrospective analysis was done with CT obtained pre-TAVI, prior to hospital discharge and at 1-year follow-up, which provided imaging sources for the calculation of FFRCT values based on an online platform. RESULTS: A total of 190 patients were enrolled. Patients with pre-procedural FFRCT value > 0.80 (i.e., negative) and ≤ 0.80 (i.e., positive) demonstrated a significantly opposite change in the value after TAVI (0.8798 vs. 0.8718, p < 0.001 and 0.7634 vs. 0.8222, p < 0.001, respectively). The history of coronary artery disease (CAD) was identified as an independent predictor for FFRCT changing from negative to positive after TAVI (odds ratio [OR] 2.927, 95% confidence interval [CI] 1.130-7.587, p = 0.027), with lesions more severely stenosed (OR 1.039, 95% CI 1.003-1.076, p = 0.034) and in left anterior descending coronary artery (LAD) (OR 3.939, 95% CI 1.060-14.637, p = 0.041) being prone to change. CONCLUSIONS: TAVI directly brings improvement in FFRCT values in patients with compromised coronary flow. Patients with a history of CAD, especially with lesions more severely stenosed and in LAD, were under risk of FFRCT changing from negative to positive after TAVI. KEY POINTS: •The effect of TAVI on coronary hemodynamics might be influenced by different ischemic severity and coronary territories reflected by FFRCT values. •As different FFRCT variations did not impact outcomes of TAVI patients, AS, but not coronary issues, may be the primary problem to affect, which needs further validation.

A CT-based technique to predict optimal projection for self-expanding TAVI in patients with different aortic valve anatomies.

BACKGROUND: Optimal projection is essential for valve deployment during transcatheter aortic valve implantation (TAVI). The purpose of this study was to propose an approach to predict optimal projection in TAVI candidates with different aortic valve anatomies. METHODS: 331 patients undergoing self-expanding TAVI were included and the so-called non-coronary cusp (NCC)-parallel technique was utilized, which generated the predicted projection by connecting NCC commissures on the transverse plane on the pre-procedural computed tomography images. RESULTS: 37.8% of the study cohort were bicuspid aortic valve (BAV) patients. Around 80% of both NCC-parallel views and final views were in the right anterior oblique (RAO) and caudal (CAU) quadrant. There was less than 5° change required from the NCC-parallel view to the final implanted view in 79% of tricuspid aortic valve (TAV) patients but only in 27% (13/48) of type 0 BAV patients with coronary arteries originated from the different cusps. After excluding the above mentioned BAV patients, 62.3% (48/77) of BAV patients needed less than 5° change to achieve optimal projection and only in 8 patients, the angular change was larger than 10° in either left/right anterior oblique or cranial/caudal direction. CONCLUSIONS: The NCC-parallel technique provides reliable prediction for optimal projection in self-expanding TAVI in all TAV and most BAV patients, with a vast majority of views in the RAO and CAU quadrant.

Treating patients with excessively large annuli with self-expanding transcatheter aortic valves: insights into supra-annular structures that anchor the prosthesis.

BACKGROUND: Some patients referred for transcatheter aortic valve replacement (TAVR) have excessively large annuli (ELA) without device options according to current sizing charts. This retrospective study aims to summarize the presentation and outcomes of ELA patients receiving first-generation self-expanding valves. METHODS: The TAVR database was reviewed in search for cases of self-expanding valves. Patients who had annuli exceeding the perimeter limit on the device sizing chart were referred to as the ELA group. Patients who had annuli within the range covered by the two largest sizes and received the corresponding valve size served as the control group (CG). Baseline, procedures, outcomes, and imaging characteristics on multislice computed tomography (MSCT), such as native anatomy and postimplant stent geometry, were compared. RESULTS: A total of 28 patients were included in the ELA group and 82 in the CG. The patients in the ELA group were younger than those in the CG (72.5 ± 6.2 vs. 75.4 ± 5.8 years, P = 0.03). The median intended perimeter oversizing in relation to the annulus in the ELA group was much smaller than in the CG (-0.4 [-4.6, 4.1] % vs. 16.1 [11.7, 20.8] %, P < 0.01). The calcium burden in the aortic root was around 1.3-fold greater in the ELA group than the CG (756.0 [534.5, 1670.9] vs. 582.1 [310.3, 870.9] mm3, P = 0.01). The need for second valve implantation was higher in ELA (21.4% vs. 12.2%, P = 0.23) but no valve embolization was encountered. The 1­year follow-up was comparable, including >mild paravalvular leak. CONCLUSION: Under cautious patient selection using MSCT, TAVR with self-expanding valves in patients with ELA appears feasible. Supra-annular structures likely provide the extra anchoring.

Classification and Prognosis Prediction from Histopathological Images of Hepatocellular Carcinoma by a Fully Automated Pipeline Based on Machine Learning.

OBJECTIVE: The aim of this study was to develop quantitative feature-based models from histopathological images to distinguish hepatocellular carcinoma (HCC) from adjacent normal tissue and predict the prognosis of HCC patients after surgical resection. METHODS: A fully automated pipeline was constructed using computational approaches to analyze the quantitative features of histopathological slides of HCC patients, in which the features were extracted from the hematoxylin and eosin (H&E)-stained whole-slide images of HCC patients from The Cancer Genome Atlas and tissue microarray images from West China Hospital. The extracted features were used to train the statistical models that classify tissue slides and predict patients' survival outcomes by machine-learning methods. RESULTS: A total of 1733 quantitative image features were extracted from each histopathological slide. The diagnostic classifier based on 31 features was able to successfully distinguish HCC from adjacent normal tissues in both the test [area under the receiver operating characteristic curve (AUC) 0.988] and external validation sets (AUC 0.886). The random-forest prognostic model using 46 features was able to significantly stratify patients in each set into longer- or shorter-term survival groups according to their assigned risk scores. Moreover, the prognostic model we constructed showed comparable predicting accuracy as TNM staging systems in predicting patients' survival at different time points after surgery. CONCLUSIONS: Our findings suggest that machine-learning models derived from image features can assist clinicians in HCC diagnosis and its prognosis prediction after hepatectomy.

Effect of concomitant aortic regurgitation on early hypo-attenuated leaflet thickening after transcatheter aortic valve replacement in patients with symptomatic severe aortic stenosis.

OBJECTIVE: We hypothesize that different degree of pre-existing aortic regurgitation (AR) may affect the presence of hypo-attenuated leaflet thickening (HALT) after transcatheter aortic valve replacement (TAVR). BACKGROUND: The mechanism of the presence of HALT post-TAVR is not fully understood. METHODS: We retrospectively evaluated the post-procedural multi-slice computed tomography (MSCT) before discharge for evidence of HALT. Patients were grouped according to the degree of pre-existing AR. Baseline, native anatomy and procedure details were compared, then multivariate regression was performed. RESULTS: MSCT analyzed was performed at a median of 6 days post-TAVR in 179 patients. HALT was detected in 10.6% of patients. After adjusting for variables that were significantly different between groups, pre-existing ≥ moderate AR was protective to the risk of HALT (OR 0.15, 95% CI 0.03-0.84, p = .03). Stratifying for factors that might explain the impact of pre-existing AR on HALT, patients with a small Sinus of Valsalva, non-eccentric remodeling and receiving a large bioprosthesis experienced a sevenfold higher risk for HALT (OR 7.16, 95% CI 2.05-25.08, p = .002). CONCLUSIONS: Patients underwent TAVR with pre-existing ≥ moderate AR appeared to experience a lower incidence of early HALT compared to those patients with less than moderate AR, which may be explained by a larger Sinus of Valsalva and a higher proportion of LV eccentric remodeling.

Reshaping bicuspid aortic valve stenosis with an hourglass-shaped balloon for transcatheter aortic valve replacement: A pilot study.

OBJECTIVES: We evaluated the safety and usefulness of preparatory anatomical reshaping with a geometric hourglass-shaped balloon to optimize transcatheter aortic valve replacement (TAVR) outcomes in bicuspid aortic valve (BAV) stenosis. BACKGROUND: TAVR has been increasingly performed for BAV stenosis; however, technical challenges remain. Procedural results are suboptimal given unfavorable valvular anatomies. METHODS: Eligible patients with BAV stenosis were enrolled to undergo aortic valve predilatation with the hourglass-shaped TAV8 balloon before TAVR using the self-expandable Venus A-Valve. Procedural details and outcomes were compared to a sequential group of patients with BAV who underwent TAVR with the same device following preparatory dilatation using a cylindrical balloon. RESULTS: A total of 22 patients were enrolled in the TAV8 group and 53 were included in the control group. Valve downsizing was less common in the TAV8 group (36.4 vs. 67.9%; p = .012). Stable valve release and optimal implant depth were consistently achieved in the TAV8 group with no requirement for a second valve (0 vs. 17.0%; p = .039) and with higher device success rates (100.0 vs 77.4%; p = .014). Residual aortic regurgitation graded as ≥mild was less common in the TAV8 group (13.6 vs 45.3%; p = .009). Mortality was similar (0 vs. 3.8%; p = 1); no major/disabling stroke or conversion to open-heart surgery was seen in either group within 30 days. CONCLUSIONS: Compared with standard cylindrical balloon valvuloplasty, preparatory reshaping with the hourglass-shaped balloon before self-expandable TAVR in BAV was associated with significantly better procedural results and may encourage more promising outcomes.

Differences in metabolic profiles between bicuspid and tricuspid aortic stenosis in the setting of transcatheter aortic valve replacement.

BACKGROUND: To explore why bicuspid aortic stenosis has certain clinical differences from the tricuspid morphology, we evaluated the metabolomics profile involved in bicuspid aortic valve (BAV) aortic stenosis prior to and after transcatheter aortic valve replacement (TAVR) in comparison with tricuspid aortic valve (TAV). METHODS: In this TAVR cohort with prospectively collected data, blood samples were obtained before TAVR valve deployment and at the 7th day after TAVR, which were then sent for liquid and gas chromatography-mass spectrometry detection. Besides comparisons between BAV and TAV, BAV patients were also divided in subgroups according to baseline hemodynamics (i.e. maximal transaortic velocity, Vmax) and post-procedural reverse left ventricular (LV) remodeling (i.e. the change in LV mass index from baseline, ∆LVMI) for further analysis. Metabolic differences between groups were identified by integrating univariate test, multivariate analysis and weighted correlation network analysis algorithm. RESULTS: A total of 57 patients were enrolled including 33 BAV patients. The BAV group showed lower arginine and proline metabolism both before and post TAVR than TAV represented by decreased expression of L-Glutamine. In BAV subgroup analysis, patients with baseline Vmax > 5 m/s (n = 11) or the 4th quartile of change in ∆LVMI at one-year follow-up (i.e. poorly-recovered LV, n = 8) showed elevated arachidonic acid metabolism compared with Vmax < 4.5 m/s (n = 12) or the 1st quartile of ∆LVMI (i.e. well-recovered LV, n = 8) respectively. CONCLUSIONS: Difference in arginine and proline metabolism was identified between BAV and TAV in TAVR recipients. Elevated arachidonic acid metabolism may reflect more severe baseline hemodynamics and worse LV reserve remodeling after TAVR in BAV.

Transcatheter Aortic Valve Replacement in Patients with Aortic Stenosis Having Coronary Cusp Fusion versus Mixed Cusp Fusion Nonraphe Bicuspid Aortic Valve.

OBJECTIVES: We aimed to assess the procedural and clinical results of transcatheter aortic valve replacement (TAVR) for nonraphe bicuspid aortic stenosis (AS) with coronary vs mixed cusp fusion. BACKGROUND: It remains unclear whether cusp fusion morphology affects TAVR outcomes in patients with nonraphe bicuspid AS. METHODS: This retrospective study enrolled consecutive patients with severe symptomatic AS and type-0 bicuspid aortic valve, who underwent TAVR at our institution between 2012 and 2017. TAVR outcomes were defined based on the Valve Academic Research Consortium-2 recommendations. RESULTS: Compared to patients with mixed cusp fusion (44/71), those with coronary cusp fusion (27/71) had a larger ellipticity index for the aortic annulus (21.9% ± 9.0% vs 15.6% ± 9.3%, p=0.007) and increased left ventricular outflow tract obstruction (31.1% ± 9.4% vs 26.9% ± 7.5%, p=0.04) but comparable rates of second valve implantation (15.9% vs 14.8%), mild paravalvular leakage (PVL, 38.5% vs 30.2%), permanent pacemaker implantation (PPM, 25.9% vs 15.9%), and 30-day mortality (7.4% vs 6.8%). Use of a first-generation transcatheter heart valve was associated with higher risk for mild PVL (odds ratio (OR) = 4.37; 95% confidence interval (95% CI) = 1.14-16.75; p=0.03) but not PPM (OR = 0.77; 95% CI = 0.22-2.62; p=0.67), whereas a larger oversizing ratio tended to be associated with a higher PPM rate (OR = 1.49; 95% CI = 0.46-4.86; p=0.51) but lower incidence of mild PVL (OR = 0.51; 95% CI = 0.19-1.35; p=0.17). CONCLUSIONS: In AS patients with type-0 bicuspid valves, cusp fusion morphology does not affect the procedural or clinical results of TAVR. Use of second-generation transcatheter heart valves may provide more favorable results in such patients. This trial is registered with NCT01683474.

Permanent pacemaker implantation after transcatheter aortic valve replacement in bicuspid aortic valve patients.

BACKGROUND: Studies of permanent pacemaker implantation (PPI) after transcatheter aortic valve replacement (TAVR) specifically for bicuspid aortic valve (BAV) patients are lacking. We aim to delineate possible aspects that might affect the incidence of PPI in a retrospective cohort of BAV patients treated with early-generation self-expanding devices. METHODS: A total of 80 patients with bicuspid morphology who successfully underwent TAVR by self-expanding devices without prior PPI were included. Baseline clinical, echocardiographic, and angiographic characteristics, procedural and post-procedural details were collected. RESULTS: The incidence of PPI after early-generation self-expanding valves in this BAV cohort was 26.3%. Baseline characteristics were comparable between patients requiring PPI post-TAVR or not. Perimeter oversizing greater than 20% significantly increased the risk of PPI compared with an oversizing of 10-20% (OR 5.08 [1.22, 21.07], P = 0.03). The proportion of patients with a depth of implantation greater than 6 mm was significantly higher in those who required PPI (82.4% vs 54.3%, P = 0.04). When testing the impact of depth of implantation >6 mm and oversizing in different morphologies, only in type 1 bicuspid patients and by oversizing>20% increased the risk of PPI (OR 12.00 [1.25, 115.36], P = 0.03) compared with an oversizing of 10-20%. CONCLUSIONS: Excessive perimeter oversizing in relation to aortic annulus and depth of implantation greater than 6 mm should be avoided to improve PPI post-TAVR for BAV patients receiving self-expanding devices, especially for type 1 BAV.

Gene polymorphisms in dual antiplatelet therapy and the presence of hypo-attenuated leaflet thickening after transcatheter aortic valve replacement.

The imaging finding of hypo-attenuated leaflet thickening (HALT) on bioprosthesis after transcatheter aortic valve replacement (TAVR) has been reported. The underlying mechanism is not clear, but leaflet thrombosis is speculated to be the cause. Heterogeneous antiplatelet responses may play a role in the process. This is a prospective, single-center pilot study in patients who received successful TAVR from June 2012 to November 2016. HALT on post-procedural multi-detector computed tomography. We thoroughly genotyped 34 SNPs and 8 SNPs that have been reported for clopidogrel and aspirin resistance. A total of 148 patients were enrolled. There were 15 patients demonstrating signs of HALT. Patients with HALT had a higher rate of atrial fibrillation (AF) pre-TAVR (33.3 vs. 7.5%, P = 0.01). We found that rs4244285 G>A polymorphism of the CYP2C19 gene was associated with the risk of HALT in the overdominant model (OR 4.00 [1.15-13.97], P = 0.02 for GA vs. GG+AA) adjusted by sex and the presence of pre-TAVR AF. Antiplatelet drug resistance is a reasonable possibility involved in HALT. Potential directions were suggested in polymorphisms of the CYP2C19 gene.

The relationship between chronic obstructive pulmonary disease and transcatheter aortic valve implantation--A systematic review and meta-analysis.

OBJECTIVE: The present study was performed to investigate the relationship between chronic obstructive pulmonary disease (COPD) and transcatheter aortic valve implantation (TAVI). BACKGROUND: Controversies regarding the relationship between COPD and TAVI have intensified. METHODS: A literature review of the PubMed online database was performed, and articles published between January 1, 2002 and March 20, 2015 were analyzed. Random-effect and fixed-effect models were used, depending on the between-study heterogeneity. RESULTS: A total of 28 studies, involving 51,530 patients, were identified in our review. The burden of COPD ranged from 12.5% to 43.4%, and COPD negatively impacted both short-term and long-term all-cause survival (30 days: odds ratio [OR], 1.43, 95% CI, 1.14-1.79; >2 years: hazard ratio [HR], 1.34, 95% CI, 1.12-1.61). COPD was also associated with increased short-term and mid-term cardiac-cause mortality (30 days: OR, 1.29, 95% CI, 1.02-1.64; 1 year: HR: 1.09, 1.02-1.17). Moreover, COPD (OR, 1.97, 95% CI, 1.29-3.0) predicted post-TAVI acute kidney disease. Importantly, chronic kidney disease (CKD) (HR, 1.2, 95% CI, 1.1-1.32) and the distance of the 6 minute walk test (6MWT) (HR, 1.16, 1.06-1.27) predicted TAVI futility in patients with COPD. CONCLUSION: COPD is common among patients undergoing TAVI, and COPD impacts both short- and long-term survival. COPD patients, who had a lower BMI, shorter distance of 6MWT and CKD, were at higher risk for TAVI futility.

The association between the Arg280His polymorphism in the XRCC1 gene and the risk of hematological malignancies.

The associations between the Arg280His polymorphism in X-ray repair cross-complementing gene 1 (XRCC1 gene) and hematological malignancies have been extensively investigated. However, the results were inconsistent. The objective of the current study was to investigate the associations between the Arg280His polymorphism in XRCC1 gene and the risk of hematological malignancies by meta-analysis. We searched PubMed, Embase, CNKI, Wanfang, and Weipu databases, covering all studies until 07 Aug 2013. Statistical analysis was performed by using the Revman4.2 software and the Stata10.0 software. A total of 2,650 cases and 3,856 controls in 12 case-control studies concerning the Arg280His polymorphism were included. The results suggested that the Arg280His polymorphism might not be associated with risk of hematological malignancies (OR = 1.08, 95%CI = 0.86-1.35, P = 0.50). In the subgroup analyses by cancer types and ethnicity, no significant associations were found among different cancers or different ethnicities. The current meta-analysis indicated that the Arg280His polymorphism in the XRCC1 gene might not be a risk factor for hematological malignancies. In future, more large-scale case-control studies are needed to validate these results.

The Arg188His polymorphism in the XRCC2 gene and the risk of cancer.

The Arg188His polymorphism in the XRCC2 gene has been suggested as a risk factor for cancer with inconclusive results. The aim of the current study is to investigate the association between the polymorphism with of cancer by meta-analysis. A total of 33 case-control studies from 27 publications were included for data analyses. The results suggested that the Arg188His polymorphism was not associated with increased/decreased risk of cancer in total analysis (Arg/His+His/His vs. Arg/Arg: OR = 0.98, 95% CI = 0.91-1.06). In the subgroup analysis by ethnicity, no statistical significant association was found in Europeans. In the subgroup analysis by cancer types, statistical significant association was found in ovarian cancer but not in other cancers. The current meta-analysis indicated that the Arg188His polymorphism in the XRCC2 gene might be a risk factor for ovarian cancer. In the future, more large-scale case-control studies are needed to validate our results.

The Thr241Met polymorphism in the XRCC3 gene is associated with increased risk of cancer in Chinese mainland populations.

The Thr241Met polymorphism in XRCC3 gene may affect the DNA repair pathways and be associated with the risk of cancer. However, the results of previous studies are inconsistent in Chinese mainland populations. The objective of this study is to investigate the association between the Thr241Met polymorphism in XRCC3 gene and risk of cancer for the Chinese Mainland populations by meta-analysis. We searched PubMed database, Embase database, CNKI database, and Wanfang database, and the last search was updated on July 24, 2013. Statistical analysis was performed using RevMan4.2 and Stata10.0 software. Finally, a total of 23 case-control studies in 23 articles were included. The results suggested a significant association between the Thr241Met polymorphism in XRCC3 gene and cancer risk in Chinese mainland populations (Met/Met + Thr/Met vs. Thr/Thr: OR = 1.25, 95 % CI = 1.02-1.54, P = 0.04). In the subgroup analyses by cancer types, significant associations were found in cervical cancer and nasopharyngeal cancer. The current meta-analysis suggested that the Thr241Met polymorphism in the XRCC3 gene may be a risk factor for cancer in Chinese mainland populations. In the future, more case-control studies are needed to validate these results.

The -786T > C polymorphism in the NOS3 gene is associated with increased cancer risk.

The -786T > C polymorphism in NOS3 gene may affect the DNA repair pathways and be associated with risk of cancer. However, the results of previous studies are inconsistent. The objective of this study is to investigate the association between the -786T > C polymorphism in NOS3 and risk of cancer by meta-analysis. We searched PubMed, Embase, CNKI, and Wanfang databases and the last search was updated on Sept. 20, 2013. Statistical analysis was performed using Revman4.2 and Stata10.0 software. A total of 9 case-control studies concerning 4,089 cases and 3,847 controls were included. The results suggested a significant association between the -786T > C polymorphism in NOS3 and cancer risk (CC vs. TT + CT; OR = 1.30, 95% CI = 1.07-1.57, P = 0.007) in total analysis. In the subgroup analysis by ethnicity and cancer types, significant associations were found in the breast cancer subgroup (OR 1.51, 95% CI 1.07-2.12; P = 0.02) and European subgroup (OR 1.26, 95% CI 1.01-1.58; P = 0.04). The current meta-analysis suggested that the -786T > C polymorphisms in NOS3 may be a risk factor for cancer. In the future, more case-control studies are needed to validate our results.