scholarly journals Asymptomatic Aortic Stenosis - Prognosis, Risk Stratification and Follow-Up

10.5772/22068 ◽  
2011 ◽  
Author(s):  
Paoli Ursula ◽  
Dichtl Wolfgang
Keyword(s):  
Aortic Stenosis ◽  
Risk Stratification

OC04 BASELINE ATRIAL STRAIN RELATES TO POST-SURGICAL FOLLOW UP IN SEVERE AORTIC STENOSIS

2018 ◽  
Vol 19 ◽  
pp. e15
Author(s):  
C. Lucarelli ◽  
L. San Biagio ◽  
A. Francica ◽  
G. Benfari ◽  
R.G. Abbasciano ◽  
...  
Keyword(s):  
Aortic Stenosis ◽  
Severe Aortic Stenosis ◽  
Atrial Strain

scholarly journals Prevalence and risk factors of aortic stenosis and aortic sclerosis: a 21-year follow-up of middle-aged men

2019 ◽  
Vol 54 (2) ◽  
pp. 115-123
Author(s):  
Silvana Kontogeorgos ◽  
Erik Thunström ◽  
Carmen Basic ◽  
Per-Olof Hansson ◽  
You Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Aortic Stenosis ◽  
Middle Aged ◽  
Aortic Sclerosis

Comparison of Aortic Gradient and Ventricular Mass after Valve Replacement for Aortic Stenosis with Rapid Deployment, Sutureless, and Conventional Bioprostheses

Cardiology ◽  
2021 ◽  
pp. 1-11
Author(s):  
Rubén Taboada-Martín ◽  
José María Arribas-Leal ◽  
María Asunción Esteve-Pastor ◽  
José Abellán Alemán ◽  
Francisco Marín ◽  
...  
Keyword(s):  
Aortic Stenosis ◽  
Severe Aortic Stenosis ◽  
Left Ventricular ◽  
Ventricular Mass ◽  
Risk Of Mortality ◽  
Echocardiographic Parameters ◽  
Rapid Deployment ◽  
The Impact ◽  
Peak Gradient

<b><i>Background:</i></b> The use of rapid deployment and sutureless aortic prostheses is increasing. Previous reports have shown promising results on haemodynamic performance and mortality rates. However, the impact of these bioprostheses on left ventricular mass (LVM) regression remains unknown. We decided to study the changes in remodelling and LVM regression in isolated severe aortic stenosis treated with conventional or Perceval® or Intuity® valves. <b><i>Method and Results:</i></b> From January 2011 to January 2016, 324 bioprostheses were implanted in our centre. The collected characteristics were divided into 3 groups: conventional valves, Perceval®, and Intuity®, and they were analysed after 12 months. There were 183 conventional valves (56%), 72 Perceval® (22%), and 69 Intuity® (21.2%). The statistical analysis showed significant differences in transprosthetic postoperative peak gradient (23 [18–29] mm Hg vs. 21 [16–29] mm Hg and 18 [14–24] mm Hg, <i>p</i> &#x3c; 0.001), ventricular mass electrical criteria regression (Sokolow and Cornell products), and 1-year survival (90 vs. 93% and 97%, log rank <i>p</i> value = 0.04) in conventional, Perceval®, and Intuity® groups. <b><i>Conclusions:</i></b> We observed differences in haemodynamic, electrocardiographic, and echocardiographic parameters related to the different types of prosthesis. Patients with the Intuity® prosthesis had the highest reduction in peak aortic gradient and the higher ventricular mass regression. Besides, patients with the Intuity® prosthesis had less risk of mortality during follow-up than the other two groups. Further studies are needed to confirm these findings.

scholarly journals Risk assessment in precapillary pulmonary hypertension: a comparative analysis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Thomas Sonnweber ◽  
Eva-Maria Schneider ◽  
Manfred Nairz ◽  
Igor Theurl ◽  
Günter Weiss ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Pulmonary Hypertension ◽  
High Risk ◽  
Risk Stratification ◽  
Risk Prediction ◽  
Mortality Risk ◽  
Assessment Tool ◽  
Risk Models ◽  
Non Invasive

Abstract Background Risk stratification is essential to assess mortality risk and guide treatment in patients with precapillary pulmonary hypertension (PH). We herein compared the accuracy of different currently used PH risk stratification tools and evaluated the significance of particular risk parameters. Methods We conducted a retrospective longitudinal observational cohort study evaluating seven different risk assessment approaches according to the current PH guidelines. A comprehensive assessment including multi-parametric risk stratification was performed at baseline and 4 yearly follow-up time-points. Multi-step Cox hazard analysis was used to analyse and refine risk prediction. Results Various available risk models effectively predicted mortality in patients with precapillary pulmonary hypertension. Right-heart catheter parameters were not essential for risk prediction. Contrary, non-invasive follow-up re-evaluations significantly improved the accuracy of risk estimations. A lack of accuracy of various risk models was found in the intermediate- and high-risk classes. For these patients, an additional evaluation step including assessment of age and right atrium area improved risk prediction significantly. Discussion Currently used abbreviated versions of the ESC/ERS risk assessment tool, as well as the REVEAL 2.0 and REVEAL Lite 2 based risk stratification, lack accuracy to predict mortality in intermediate- and high-risk precapillary pulmonary hypertension patients. An expanded non-invasive evaluation improves mortality risk prediction in these individuals.

scholarly journals Copy Number Alteration Profile Provides Additional Prognostic Value for Acute Lymphoblastic Leukemia Patients Treated on BFM Protocols

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3289
Author(s):  
Μirella Αmpatzidou ◽  
Lina Florentin ◽  
Vassilios Papadakis ◽  
Georgios Paterakis ◽  
Marianna Tzanoudaki ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Copy Number ◽  
Copy Number Alteration ◽  
Lymphoblastic Leukemia ◽  
Risk Index ◽  
Outcome Predictor ◽  
Distinct Subgroup ◽  
Genomic Risk ◽  
Good Risk

We present our data of a novel proposed CNA-profile risk-index, applied on a Greek ALLIC-BFM-treated cohort, aiming at further refining genomic risk-stratification. Eighty-five of 227 consecutively treated ALL patients were analyzed for the copy-number-status of eight genes (IKZF1/CDKN2A/2B/PAR1/BTG1/EBF1/PAX5/ETV6/RB1). Using the MLPA-assay, patients were stratified as: (1) Good-risk(GR)-CNA-profile (n = 51), with no deletion of IKZF1/CDKN2A/B/PAR1/BTG1/EBF1/PAX5/ETV6/RB1 or isolated deletions of ETV6/PAX5/BTG1 or ETV6 deletions with a single additional deletion of BTG1/PAX5/CDKN2A/B. (2) Poor-risk(PR)-CNA-profile (n = 34), with any deletion of ΙΚΖF1/PAR1/EBF1/RB1 or any other CΝΑ. With a median follow-up time of 49.9 months, EFS for GR-CNA-profile and PR-CNA-profile patients was 96.0% vs. 57.6% (p < 0.001). For IR-group and HR-group patients, EFS for the GR-CNA/PR-CNA subgroups was 100.0% vs. 60.0% (p < 0.001) and 88.2% vs. 55.6% (p = 0.047), respectively. Among FC-MRDd15 + patients (MRDd15 ≥ 10−4), EFS rates were 95.3% vs. 51.7% for GR-CNA/PR-CNA subjects (p < 0.001). Similarly, among FC-MRDd33 + patients (MRDd33 ≥ 10−4), EFS was 92.9% vs. 27.3% (p < 0.001) and for patients FC-MRDd33 − (MRDd33 < 10−4), EFS was 97.2% vs. 72.7% (p = 0.004), for GR-CNA/PR-CNA patients, respectively. In a multivariate analysis, the CNA-profile was the most important outcome predictor. In conclusion, the CNA-profile can establish a new genomic risk-index, identifying a distinct subgroup with increased relapse risk among the IR-group, as well as a subgroup of patients with superior prognosis among HR-patients. The CNA-profile is feasible in BFM-based protocols, further refining MRD-based risk-stratification.

scholarly journals Implantable cardiac monitor after cryptogenic stroke: atrial fibrillation detection and predictors

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
E Ebrille ◽  
C Amellone ◽  
M.T Lucciola ◽  
F Orlando ◽  
M Suppo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Multivariate Analysis ◽  
Risk Stratification ◽  
Median Time ◽  
Remote Monitoring ◽  
Cryptogenic Stroke ◽  
Screening Process ◽  
Cardiac Monitor ◽  
Implantable Cardiac Monitor

Abstract Objective The main objective of our study was to analyze the incidence and predictors of atrial fibrillation (AF) in patients with cryptogenic stroke (CS) who received an implantable cardiac monitor (ICM) at our Institution. Methods From November 2013 to October 2017, a total of 133 patients who had suffered a CS were implanted with an ICM after a thorough screening process. The median time between the thromboembolic event and ICM implantation was 64 days [IQ range: 16–111]. All implanted patients were followed with remote monitoring until the first detected episode of AF or up to December 2018. Every remote monitoring transmission and related electrograms were analyzed by the dedicated Electrophysiology Nursing team and confirmed by experienced Electrophysiologists. AF was defined by any episode lasting greater than or equal to 2 minutes. Results During a median follow-up of 14.8 months [IQ range: 3.0–31.2], AF was detected in 65 out of 133 patients (48.9%). The median time from ICM implantation and AF detection was 3.5 months [IQ range: 0.9–6.7]. The prevalence of AF was 22.6%, 34.4%, 40.8% and 48.3% at 3, 6, 12 and 24 months respectively. At the multivariate analysis, high premature atrial contractions (PAC) burden and left atrium (LA) dilation were the only independent predictors of AF detection (HR 2.82, 95% CI 1.64–4.83, p&lt;0.001 for PAC; HR 1.75, 95% CI 1.03–2.97, p=0.038 for LA dimension). Patients were dived into categories based on the probability of AF detection (low, intermediate and high risk) and a new risk stratification algorithm was implemented (Figure 1). Conclusion After a thorough screening process, AF detection in patients with CS and ILM was quite high. Having a high PAC burden and LA dilation predicted AF episodes at the multivariate analysis. A new risk stratification algorithm was developed. Figure 1 Funding Acknowledgement Type of funding source: None

scholarly journals Natural Progression of Low-Gradient Severe Aortic Stenosis with Preserved Ejection Fraction

2014 ◽  
Vol 41 (3) ◽  
pp. 273-279 ◽  
Author(s):  
Antony Leslie Innasimuthu ◽  
Sanjay Kumar ◽  
Jason Lazar ◽  
William E. Katz
Keyword(s):  
Aortic Stenosis ◽  
Ejection Fraction ◽  
Severe Aortic Stenosis ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Aortic Valve Area ◽  
Ventricular Ejection Fraction ◽  
Mild Stenosis ◽  
Natural Progression

Because the natural progression of low-gradient aortic stenosis (LGAS) has not been well defined, we performed a retrospective study of 116 consecutive patients with aortic stenosis who had undergone follow-up echocardiography at a median interval of 698 days (range, 371–1,020 d). All patients had preserved left ventricular ejection fraction (&gt;0.50) during and after follow-up. At baseline, patients were classified by aortic valve area (AVA) as having mild stenosis (≥1.5 cm2), moderate stenosis (≥1 to &lt;1.5 cm2), or severe stenosis (&lt;1 cm2). Severe aortic stenosis was further classified by mean gradient (LGAS, mean &lt;40 mmHg; high-gradient aortic stenosis [HGAS], mean ≥40 mmHg). We compared baseline and follow-up values among 4 groups: patients with mild stenosis, moderate stenosis, LGAS, and HGAS. At baseline, 30 patients had mild stenosis, 54 had moderate stenosis, 24 had LGAS, and 8 had HGAS. Compared with the moderate group, the LGAS group had lower AVA but similar mean gradient. Yet the actuarial curves for progressing to HGAS were significantly different: 25% of patients in LGAS reached HGAS status significantly earlier than did 25% of patients in the moderate-AS group (713 vs 881 d; P=0.035). Because LGAS has a high propensity to progress to HGAS, we propose that low-gradient aortic stenosis patients be closely monitored as a distinct subgroup that warrants more frequent echocardiographic follow-up.

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