34 results on '"Irene Hueter"'
Search Results
2. Self-Affine Carpets on the Square Lattice.
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Irene Hueter and Yuval Peres
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- 1997
3. Interventions in GARCE Branching Processes with Application to Ebola Virus Data
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Irene Hueter
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Statistics and Probability ,medicine.medical_specialty ,Ebola virus ,Operations research ,General Mathematics ,010102 general mathematics ,Psychological intervention ,Early detection ,Outbreak ,medicine.disease_cause ,01 natural sciences ,010104 statistics & probability ,Intervention analysis ,Intervention (counseling) ,medicine ,0101 mathematics ,Intensive care medicine ,Hindsight bias ,Mathematics ,Branching process - Abstract
In hindsight, even a cursory look may have revealed substantial growth of the 2014 Ebola infection and death cases in West Africa before drastic interventions showed an effect in late 2014. Yet a timely assessment as to whether an intervention has a sufficient impact to stabilize and eventually end an outbreak is equally important as early detection and accurate prediction of the magnitude of the outbreak several months before it spins out of control. To this aim, we consider an intervention effect in the GARCE branching process model, proposed by Hueter, that was successful to early detect the magnitude of the outbreak when data became available in early 2014. This model provides a novel and simple approach to branching processes that allows for time-varying random environments and instances of peak growth and near extinction-type rates as seen in Ebola viruses, tuberculosis infections, and infectious diseases. We present results on the survival and extinction behaviours, characterization of the phase transition between the subcritical and supercritical phases, and a sufficient condition for escape from supercriticality upon a level shift intervention. Intervention analysis of the Ebola outbreak data are presented and findings on the outbreak’s estimated phase and intervention effect are discussed.
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- 2017
4. How many papers can be published from one study?
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Roger Watson, Irene Hueter, Mark Hayter, Brenda Roe, Rita H. Pickler, Lin Perry, and Jane Noyes
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Publishing ,Biomedical Research ,Text mining ,business.industry ,Practice Guidelines as Topic ,Nursing ,Sociology ,business ,Data science ,Editorial Policies ,General Nursing ,Ethics, Research - Published
- 2014
5. Online support groups for women with breast cancer
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Ian Bradbury, Eilis McCaughan, Laurel L. Northouse, Kader Parahoo, and Irene Hueter
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Medicine General & Introductory Medical Sciences ,Time Factors ,Consumer Health Information ,business.industry ,Depression ,Breast Neoplasms ,Anxiety ,Peer Group ,03 medical and health sciences ,Self-Help Groups ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Quality of Life ,Medicine ,Humans ,Pharmacology (medical) ,Female ,030212 general & internal medicine ,business ,Randomized Controlled Trials as Topic - Abstract
BACKGROUND: Survival rates for women with a diagnosis of breast cancer continue to improve. However, some women may experience physical, psychological and emotional effects post diagnosis, throughout treatment and beyond. Support groups can provide opportunities for people to share their experiences and learn from others. As the number of online support groups increases, more and more women with breast cancer will likely access them. OBJECTIVES: To assess effects of online support groups on the emotional distress, uncertainty, anxiety, depression and quality of life (QoL) of women with breast cancer. SEARCH METHODS: We searched for trials in the Cochrane Breast Cancer Specialised Register, the Cochrane Central Register of Controlled Trials (CENTRAL; 2016, Issue 4), MEDLINE, Embase and PsycINFO on 2 May 2016, and we handsearched journals and reference lists. We also searched the World Health Organization's International Clinical Trials Registry Platform (WHO ICTRP) search portal and clinicaltrials.gov on 2 May 2016. SELECTION CRITERIA: We included randomised controlled trials (RCTs) assessing effects of online support groups on women with a diagnosis of breast cancer and women who have completed breast cancer treatment. We included studies comparing online support groups with a usual care group, and studies comparing two or more types of online support groups (without a usual care group). DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data and assessed risk of bias. We presented outcome data using mean differences (MDs) and standardised mean differences (SMDs) along with 95% confidence intervals (CIs), and we used the fixed‐effect model when appropriate. We assessed the quality of the body of evidence using the GRADE approach. MAIN RESULTS: We included six studies (492 women) that assessed online support groups for women with breast cancer. Online support groups in these six trials lasted from six to 30 weeks. Women participated in these groups between 1.5 and 2.5 hours per week, and investigators conducted all studies in the USA. Participants were predominantly white and well educated and were moderate to high earners. Four studies compared an online support group versus a control group, and the other two compared a 'moderated' versus a 'peer‐led' online support group, and a 'standard' versus an 'enhanced' online support group, respectively. None of the included studies measured 'emotional distress' or uncertainty. One study (78 women) for which data for analysis were missing reported no positive effects of online support on 'distress' and 'cancer‐specific distress' versus support provided by a control group. Two studies measured anxiety: One study (72 women) found no difference in anxiety at the end of the intervention between the online support group and the control group (MD ‐0.40, 95% CI ‐6.42 to 5.62; low‐quality evidence), and the second study (184 women) reported a reduction in anxiety levels at the end of the intervention when comparing the 'standard' support group (run by participants without prompting from health professionals) versus an 'enhanced' online support group (in which participants were specifically asked by the researcher to respond to one another's need for support). Five studies (414 women) measured depression. Three studies compared depression in the online support group with depression in the control group. Pooled data from two studies (120 women) showed a small to moderate reduction in depression in the online support group compared with control groups at the end of the intervention (SMD ‐0.37, 95% CI ‐0.75 to 0.00; very low‐quality evidence). The third study, a pilot study (30 women), provided no data for analysis but reported no difference in depression between participants in support and control groups at the end of the intervention. Of the remaining two studies that measured depression, one study (60 women) provided no extractable data for comparison but reported no difference in depressive symptoms between a 'moderated' and a 'peer‐led' support group; the other study (184 women) reported greater reduction in depression in the 'standard' support group than in the 'enhanced' online support group. Three studies measured quality of life. One pilot study (30 women) provided limited data for analysis but reported no change in quality of life at the end of the intervention. Only two studies (140 women) provided data for pooling and showed no positive effects on quality of life at four months post intervention compared with controls (SMD ‐0.11, 95% CI ‐0.47 to 0.24; very low‐quality evidence). At 12 months post intervention, one study (78 women) reported that the intervention group did not attain better quality of life scores than the control group (MD ‐10.89, 95% CI ‐20.41 to ‐1.37; low‐quality evidence). We found no data for subgroup analyses on stage of disease, treatment modality and types and doses of interventions. No studies measured adverse effects. AUTHORS' CONCLUSIONS: This review did not find the evidence required to show whether participation in online support groups was beneficial for women with breast cancer, because identified trials were small and of low or very low quality. Large, rigorous trials with ethnically and economically diverse participants are needed to provide robust evidence regarding the psychosocial outcomes selected for this review.
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- 2017
6. Incidence and Sequelae of Prosthesis-Patient Mismatch in Transcatheter Versus Surgical Valve Replacement in High-Risk Patients With Severe Aortic Stenosis
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Pamela S. Douglas, Neil J. Weissman, D. Craig Miller, Rebecca T. Hahn, Irene Hueter, Martin B. Leon, Scott Lim, Josep Rodés-Cabau, Ke Xu, Philippe Pibarot, Craig R. Smith, Vinod H. Thourani, Thomas McAndrew, Michael J. Mack, Susheel Kodali, Brian R. Lindman, John G. Webb, Lars G. Svensson, William J. Stewart, and Howard C. Herrmann
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Aortic valve ,medicine.medical_specialty ,genetic structures ,business.industry ,Incidence (epidemiology) ,medicine.medical_treatment ,medicine.disease ,Prosthesis ,Surgery ,Stenosis ,medicine.anatomical_structure ,Valve replacement ,Internal medicine ,Aortic valve stenosis ,Cohort ,medicine ,Cardiology ,Cardiology and Cardiovascular Medicine ,business ,Cohort study - Abstract
Background: Little is known about the incidence of prosthesis-patient mismatch (PPM) and its impact on outcomes after transcatheter aortic valve replacement (TAVR).Objectives: The objective...
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- 2014
7. Branching processes in generalized autoregressive conditional environments
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Irene Hueter
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Statistics and Probability ,GARCH ,Autoregressive conditional heteroskedasticity ,Negative binomial distribution ,Poisson distribution ,01 natural sciences ,010104 statistics & probability ,symbols.namesake ,60F05 ,Econometrics ,Quantitative Biology::Populations and Evolution ,0101 mathematics ,Mathematics ,Branching process ,60J80 ,extinction ,Applied Mathematics ,010102 general mathematics ,Ergodicity ,Autocorrelation ,limit theorems ,Galton–Watson process ,Autoregressive model ,Branching processes in random environment ,phase transition ,symbols ,62M10 ,60G10 - Abstract
Branching processes in random environments have been widely studied and applied to population growth systems to model the spread of epidemics, infectious diseases, cancerous tumor growth, and social network traffic. However, Ebola virus, tuberculosis infections, and avian flu grow or change at rates that vary with time—at peak rates during pandemic time periods, while at low rates when near extinction. The branching processes in generalized autoregressive conditional environments we propose provide a novel approach to branching processes that allows for such time-varying random environments and instances of peak growth and near extinction-type rates. Offspring distributions we consider to illustrate the model include the generalized Poisson, binomial, and negative binomial integer-valued GARCH models. We establish conditions on the environmental process that guarantee stationarity and ergodicity of the mean offspring number and environmental processes and provide equations from which their variances, autocorrelation, and cross-correlation functions can be deduced. Furthermore, we present results on fundamental questions of importance to these processes—the survival-extinction dichotomy, growth behavior, necessary and sufficient conditions for noncertain extinction, characterization of the phase transition between the subcritical and supercritical regimes, and survival behavior in each phase and at criticality.
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- 2016
8. Impact of Preoperative Moderate/Severe Mitral Regurgitation on 2-Year Outcome After Transcatheter and Surgical Aortic Valve Replacement
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Marco Barbanti, Thomas McAndrew, Ted Feldman, D. Craig Miller, Christopher R. Thompson, Robert H. Boone, Susheel Kodali, Pamela S. Douglas, Alan Zajarias, Wilson Y. Szeto, Raj Makkar, Rebecca T. Hahn, John G. Webb, Philip Green, Vasilis C. Babaliaros, Irene Hueter, Craig R. Smith, and Martin B. Leon
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Male ,Cardiac Catheterization ,medicine.medical_specialty ,Transcatheter aortic ,medicine.medical_treatment ,Kaplan-Meier Estimate ,Severity of Illness Index ,Cohort Studies ,Aortic valve replacement ,Valve replacement ,Physiology (medical) ,medicine ,Humans ,Cardiac Surgical Procedures ,Symptomatic aortic stenosis ,Aged ,Aged, 80 and over ,Heart Valve Prosthesis Implantation ,Mitral regurgitation ,business.industry ,Mitral Valve Insufficiency ,Aortic Valve Stenosis ,medicine.disease ,Surgery ,Survival Rate ,Treatment Outcome ,Echocardiography ,Aortic Valve ,Heart Valve Prosthesis ,PARTNER trial ,Cohort ,Female ,Cardiology and Cardiovascular Medicine ,business ,Follow-Up Studies - Abstract
Background— The effect of preoperative mitral regurgitation (MR) on clinical outcomes of patients undergoing transcatheter aortic valve replacement (TAVR) is controversial. This study sought to examine the impact of moderate and severe MR on outcomes after TAVR and surgical aortic valve replacement (SAVR). Methods and Results— Data were drawn from the randomized Placement of Aortic Transcatheter Valve (PARTNER) Trial cohort A patients with severe, symptomatic aortic stenosis undergoing either TAVR (n=331) or SAVR (n=299). Both TAVR and SAVR patients were dichotomized according to the degree of preoperative MR (moderate/severe versus none/mild). At baseline, moderate or severe MR was reported in 65 TAVR patients (19.6%) and 63 SAVR patients (21.2%). At 30 days, among survivors who had isolated SAVR/TAVR, moderate/severe MR had improved in 25 SAVR patients (69.4%) and 30 TAVR patients (57.7%), was unchanged in 10 SAVR patients (27.8%) and 19 TAVR patients (36.5%), and worsened in 1 SAVR patient (2.8%) and 4 TAVR patients (5.8%; all P =NS). Mortality at 2 years was higher in SAVR patients with moderate or severe MR than in those with mild or less MR (49.8% versus 28.1%; adjusted hazard ratio, 1.73; 95% confidence interval, 1.01–2.96; P =0.04). In contrast, MR severity at baseline did not affect mortality in TAVR patients (37.0% versus 32.7%, moderate/severe versus none/mild; hazard ratio, 1.14; 95% confidence interval, 0.72–1.78; P =0.58; P for interaction=0.05). Conclusions— Both TAVR and SAVR were associated with a significant early improvement in MR in survivors. However, moderate or severe MR at baseline was associated with increased 2-year mortality after SAVR but not after TAVR. TAVR may be a reasonable option in selected patients with combined aortic and mitral valve disease. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifier: NCT00530894.
- Published
- 2013
9. Outcomes of Transcatheter and Surgical Aortic Valve Replacement in High-Risk Patients With Aortic Stenosis and Left Ventricular Dysfunction
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Pamela S. Douglas, Ajay J. Kirtane, Hersh S. Maniar, William F. Fearon, Sammy Elmariah, Susheel Kodali, Jonathan J. Passeri, Joshua N. Baker, Thomas McAndrew, Lars G. Svensson, Igor F. Palacios, Martin B. Leon, Irene Hueter, Ignacio Inglessis, and Philippe Pibarot
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Male ,Cardiac Catheterization ,Pacemaker, Artificial ,medicine.medical_specialty ,medicine.medical_treatment ,Comorbidity ,Kaplan-Meier Estimate ,Ventricular Dysfunction, Left ,Valve replacement ,Aortic valve replacement ,Risk Factors ,Internal medicine ,medicine ,Humans ,Cardiac Surgical Procedures ,Aged ,Aged, 80 and over ,Heart Valve Prosthesis Implantation ,Ejection fraction ,business.industry ,Stroke Volume ,Aortic Valve Stenosis ,Recovery of Function ,Odds ratio ,medicine.disease ,Confidence interval ,Surgery ,Survival Rate ,Stenosis ,Treatment Outcome ,Aortic Valve ,Heart Valve Prosthesis ,Heart failure ,Cohort ,Cardiology ,Female ,Cardiology and Cardiovascular Medicine ,business ,Follow-Up Studies - Abstract
Background— The Placement of Aortic Transcatheter Valves (PARTNER) trial demonstrated similar survival after transcatheter and surgical aortic valve replacement (TAVR and SAVR, respectively) in high-risk patients with symptomatic, severe aortic stenosis. The aim of this study was to evaluate the effect of left ventricular (LV) dysfunction on clinical outcomes after TAVR and SAVR and the impact of aortic valve replacement technique on LV function. Methods and Results— The PARTNER trial randomized high-risk patients with severe aortic stenosis to TAVR or SAVR. Patients were stratified by the presence of LV ejection fraction (LVEF) P P P Conclusions— In high-risk patients with severe aortic stenosis and LV dysfunction, mortality rates and LV functional recovery were comparable between valve replacement techniques. TAVR is a feasible alternative for patients with symptomatic severe aortic stenosis and LV dysfunction who are at high risk for SAVR. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifier: NCT00530894.
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- 2013
10. Predictors of Mortality and Outcomes of Therapy in Low-Flow Severe Aortic Stenosis
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Pamela S. Douglas, Craig S. Miller, Murat Tuzcu, Rebecca T. Hahn, Philippe Pibarot, Irene Hueter, Vinod H. Thourani, Susheel Kodali, Wilson Y. Szeto, Samir R. Kapadia, Joseph E. Bavaria, Zachary M. Gertz, Vasilis Babaliaros, Martin B. Leon, Mathew R. Williams, Howard C. Herrmann, and William J. Stewart
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Male ,Aortic valve ,Cardiac Catheterization ,medicine.medical_specialty ,medicine.medical_treatment ,Kaplan-Meier Estimate ,Severity of Illness Index ,Ventricular Dysfunction, Left ,Aortic valve replacement ,Valve replacement ,Physiology (medical) ,Internal medicine ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Aged ,Proportional Hazards Models ,Ultrasonography ,Aged, 80 and over ,Bioprosthesis ,Heart Valve Prosthesis Implantation ,Ejection fraction ,Ventricular Remodeling ,business.industry ,Endovascular Procedures ,Stroke Volume ,Aortic Valve Stenosis ,Organ Size ,Stroke volume ,Prognosis ,medicine.disease ,Surgery ,Stenosis ,Treatment Outcome ,medicine.anatomical_structure ,Aortic Valve ,Heart Valve Prosthesis ,Aortic valve stenosis ,Cardiology ,Female ,Cardiology and Cardiovascular Medicine ,business ,Blood Flow Velocity - Abstract
Background— The prognosis and treatment of patients with low-flow (LF) severe aortic stenosis are controversial. Methods and Results— The Placement of Aortic Transcatheter Valves (PARTNER) trial randomized patients with severe aortic stenosis to medical management versus transcatheter aortic valve replacement (TAVR; inoperable cohort) and surgical aortic valve replacement versus TAVR (high-risk cohort). Among 971 patients with evaluable echocardiograms (92%), LF (stroke volume index ≤35 mL/m 2 ) was observed in 530 (55%); LF and low ejection fraction (P =0.006). In the inoperable cohort, patients with LF had higher mortality than those with normal flow, but both groups improved with TAVR (46% versus 76% with LF and 38% versus 53% with normal flow; P P =0.02). LF was an independent predictor of mortality in all patient cohorts (hazard ratio, ≈1.5), whereas ejection fraction and gradient were not. Conclusions— LF is common in severe aortic stenosis and independently predicts mortality. Survival is improved with TAVR compared with medical management and similar with TAVR and surgical aortic valve replacement. A measure of flow (stroke volume index) should be included in the evaluation and therapeutic decision making of patients with severe aortic stenosis. Clinical Trial Registration— URL: http://www.clinicaltrial.gov . Unique identifier: NCT0053089.4.
- Published
- 2013
11. The convex hull of consecutive pairs of observations from some time series models
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Irene Hueter and Richard A. Davis
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Statistics and Probability ,Convex hull ,Combinatorics ,Stochastic volatility ,Series (mathematics) ,Moving average ,Autoregressive conditional heteroskedasticity ,Economics, Econometrics and Finance (miscellaneous) ,Asymptotic distribution ,Time series ,Engineering (miscellaneous) ,Measure (mathematics) ,Mathematics - Abstract
We examine the asymptotic behavior of the number of vertices of the convex hull spanned by n consecutive pairs from a time series model. We consider data from three models, the moving average (MA) process with regularly varying noise, the stochastic volatility (SV) process with regularly varying noise and the GARCH process. The latter two processes are commonly used for modeling returns of financial assets. If \(N_n\) denotes the number of vertices of the convex hull of n consecutive pairs of observations, we show that for a SV model, \(N_n \stackrel {P}{\rightarrow } 4 \) as \(n \rightarrow \infty\), whereas for a GARCH model, \(N_n \geq 5\) with positive probability. This provides another measure that distinguishes the behavior of the extremes for SV and GARCH models. Geometrically the extreme GARCH pairs fall in butterfly-like shapes away from the axes, while the SV pairs suitably scaled drift towards the coordinate axes with increasing n. MA pairs show a similar flavor as the SV pairs except that their convex hull vertices produce segments of extreme pairs that no longer align themselves exclusively along the axes, but are also distributed along other directions, determined solely by the MA coefficients. We show that the non-degenerate limiting distribution of \( N_n \) as \(n \rightarrow \infty \) depends on the model parameters and limiting law of the ratio of the maximal and minimal observations.
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- 2013
12. Incidence and Effect of Acute Kidney Injury After Transcatheter Aortic Valve Replacement Using the New Valve Academic Research Consortium Criteria
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Mathew R. Williams, Garvey Rene, Craig R. Smith, Susheel Kodali, Irene Hueter, Ajay J. Kirtane, Rebecca T. Hahn, Benoit Daneault, Philippe Généreux, Isaac Georges, Martin B. Leon, Philip Green, and Jean Michel Paradis
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Male ,Cardiac Catheterization ,medicine.medical_specialty ,medicine.medical_treatment ,Kaplan-Meier Estimate ,urologic and male genital diseases ,Article ,chemistry.chemical_compound ,Postoperative Complications ,Valve replacement ,Internal medicine ,medicine ,Humans ,Hospital Mortality ,Prospective Studies ,Prospective cohort study ,Survival rate ,Dialysis ,Cardiac catheterization ,Aged, 80 and over ,Heart Valve Prosthesis Implantation ,Creatinine ,business.industry ,Incidence ,Acute kidney injury ,Confounding Factors, Epidemiologic ,Aortic Valve Stenosis ,Acute Kidney Injury ,medicine.disease ,United States ,female genital diseases and pregnancy complications ,Survival Rate ,Treatment Outcome ,chemistry ,Aortic valve stenosis ,Cardiology ,Female ,Cardiology and Cardiovascular Medicine ,business ,Follow-Up Studies - Abstract
Acute kidney injury (AKI) is associated with a poor prognosis after transcatheter aortic valve replacement (TAVR). A paucity of data exists regarding the incidence and effect of AKI after TAVR using the new recommended Valve Academic Research Consortium criteria. At Columbia University Medical Center, 218 TAVR procedures (64.2% transfemoral, 35.8% transapical) were performed from 2008 to July 2011. The creatinine level was evaluated daily until discharge. Using the Valve Academic Research Consortium definitions, the 30-day and 1-year outcomes were compared between patients with significant AKI (AKI stage 2 or 3) and those without significant AKI (AKI stage 0 or 1). Significant AKI occurred in 18 patients (8.3%). Of these 18 patients, 10 (55.6%) had AKI stage 3 and 9 (50%) required dialysis. AKI was associated with a lower baseline mean transvalvular gradient (37.6 ± 11.4 vs 45.6 ± 14.8 mm Hg for no AKI, p = 0.03). After TAVR, the AKI group had a greater hemoglobin decrease (3.6 ± 2.0 vs 2.4 ± 1.3 g/dl, p = 0.01), greater white blood cell elevation at 72 hours (21.09 ± 12.99 vs 13.18 ± 4.82 × 103/μl, p = 0.001), a more severe platelet decrease (118 ± 40 vs 75 ± 43 × 103/μl, p
- Published
- 2013
13. Latent Instrumental Variables: A Critical Review
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Irene Hueter
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Multilevel model ,Statistics ,Linear regression ,Instrumental variable ,Ordinary least squares ,Economics ,Econometrics ,Regression analysis ,Endogeneity ,Latent variable ,Regression - Abstract
This paper considers the estimation problem in linear regression when endogeneity is present, that is, when explanatory variables are correlated with the random error, and also addresses the question of a priori testing for potential endogeneity. We provide a survey of the latent instrumental variables (LIV) approach proposed by Ebbes (2004) and Ebbes et al. (2004, 2005, 2009) and examine its performance compared to the methods of ordinary least squares (OLS) and IV regression. The distinctive feature of Ebbes’ approach is that no observed instruments are required. Instead ‘optimal’ instruments are estimated from data and allow for endogeneity testing. Importantly, this Hausman-LIV test is a simple tool that can be used to test for potential endogeneity in regression analysis and indicate when LIV regression is more appropriate and should be performed instead of OLS regression. The LIV models considered comprise the standard one where the latent variable is discrete with at least two fixed categories and two interesting extensions, multilevel models where a nonparametric Bayes algorithm completely determines the LIV’s distribution from data. This paper suggests that while Ebbes’ new method is a distinct contribution, its formulation is problematic in certain important respects. Specifically the various publications of Ebbes and collaborators employ three distinct and inequivalent statistical concepts exchangeably, treating all as one and the same. We clarify this and then discuss estimation of returns of education in income based on data from three studies that Ebbes (2004) revisited, where ‘education’ is potentially endogenous due to omitted ‘ability.’ While the OLS estimate exhibits a slight upwards bias of 7%, 8%, and 6%, respectively, relative to the LIV estimate for the three studies, IV estimation leads to an enormous bias of 93%, 40%, and -24% when there is no consensus about the direction of the bias. This provides one instance among many well known applications where IVs introduced more substantial biases to the estimated causal effects than OLS, even though IVs were pioneered to overcome the endogeneity problem. In a second example we scrutinize the results of Ferguson et al. (2015) on the estimated effect of campaign expenditures on the proportions of Democratic and Republican votes in US House and Senate elections between 1980 and 2014, where ‘campaign money’ is potentially endogenous in view of omitted variables such as ‘a candidate’s popularity.’ A nonparametric Bayesian spatial LIV regression model was adopted to incorporate identified spatial autocorrelation and account for endogeneity. The relative bias of the spatial regression estimate as compared to the spatial LIV estimate ranges between -17% to 18% for the House and between -25% to 7% for the Senate.
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- 2016
14. Vascular Complications After Transcatheter Aortic Valve Replacement
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Irene Hueter, Joseph E. Bavaria, Ke Xu, Lowell F. Satler, Vasilis Babaliaros, Omaida C. Velazquez, William F. Fearon, Lars G. Svensson, Philippe Généreux, Raj Makkar, Andrew C. Eisenhauer, John G. Webb, Mathew R. Williams, Susheel Kodali, Martin B. Leon, Geoffrey Bergman, and Charles J. Davidson
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medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Hazard ratio ,Perforation (oil well) ,Surgery ,law.invention ,Valve replacement ,Randomized controlled trial ,law ,Predictive value of tests ,Cohort ,medicine ,business ,Cardiology and Cardiovascular Medicine ,Dialysis ,Cohort study - Abstract
Objectives This study sought to identify incidence, predictors, and impact of vascular complications (VC) after transfemoral (TF) transcatheter aortic valve replacement (TAVR). Background VC after TF-TAVR are frequent and may be associated with unfavorable prognosis. Methods From the randomized controlled PARTNER (Placement of AoRTic TraNscathetER Valve) trial, a total of 419 patients (177 from cohort B [inoperable] and 242 from cohort A [operable high-risk]) were randomly assigned to TF-TAVR and actually received the designated treatment. First-generation Edwards-Sapien valves and delivery systems were used, via a 22- or 24-F sheath. The 30-day rates of major and minor VC (modified Valve Academic Research Consortium definitions), predictors, and effect on 1-year mortality were assessed. Results Sixty-four patients (15.3%) had major VC and 50 patients (11.9%) had minor VC within 30 days of the procedure. Among patients with major VC, vascular dissection (62.8%), perforation (31.3%), and access-site hematoma (22.9%) were the most frequent modes of presentation. Major VC, but not minor VC, were associated with significantly higher 30-day rates of major bleeding, transfusions, and renal failure requiring dialysis, and with a significantly higher rate of 30-day and 1-year mortality. The only identifiable independent predictor of major VC was female gender (hazard ratio [HR]: 2.31 [95% confidence interval (CI): 1.08 to 4.98], p = 0.03). Major VC (HR: 2.31 [95% CI: 1.20 to 4.43], p = 0.012), and renal disease at baseline (HR: 2.26 [95% CI: 1.34 to 3.81], p = 0.002) were identified as independent predictors of 1-year mortality. Conclusions Major VC were frequent after TF-TAVR in the PARTNER trial using first-generation devices and were associated with high mortality. However, the incidence and impact of major VC on 1-year mortality decreased with lower-risk populations.
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- 2012
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15. Online support groups for women with breast cancer
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Eilis McCaughan, Kader Parahoo, Irene Hueter, and Laurel Northouse
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- 2015
16. Random convex hulls: a variance revisited
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Steven Finch and Irene Hueter
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Statistics and Probability ,Applied Mathematics - Abstract
An exact expression is determined for the asymptotic constant c 2 in the limit theorem by P. Groeneboom (1988), which states that the number of vertices of the convex hull of a uniform sample of n random points from a circular disk satisfies a central limit theorem, as n → ∞, with asymptotic variance 2πc 2 n 1/3.
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- 2004
17. Random convex hulls: a variance revisited
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Irene Hueter and Steven R. Finch
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Statistics and Probability ,Convex hull ,Discrete mathematics ,Applied Mathematics ,010102 general mathematics ,Convex set ,Krein–Milman theorem ,01 natural sciences ,Radon's theorem ,Combinatorics ,Algebraic formula for the variance ,010104 statistics & probability ,Gauss–Lucas theorem ,Danskin's theorem ,0101 mathematics ,Mathematics ,Central limit theorem - Abstract
An exact expression is determined for the asymptotic constant c2 in the limit theorem by P. Groeneboom (1988), which states that the number of vertices of the convex hull of a uniform sample of n random points from a circular disk satisfies a central limit theorem, as n → ∞, with asymptotic variance 2πc2n1/3.
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- 2004
18. Geometric decay of infection probabilities for the anisotropic contact process
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Irene Hueter
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Statistics and Probability ,Contact process ,Homogeneous tree ,Markov process ,Gibbs state ,Combinatorics ,symbols.namesake ,Probability theory ,Subadditivity ,symbols ,Ergodic theory ,Statistics, Probability and Uncertainty ,Anisotropy ,Mathematics - Abstract
Consider the anisotropic symmetric contact process on a homogeneous tree T 2d of degree 2d⩾2 with a single initially infected site at the root vertex of the tree. We show that, for all values of the infection vector λ, each integer n⩾1, and each vertex x∈ T 2d at distance n from the root vertex, the probability P (x is ever infected )=u x (λ) satisfies ux(λ)⩽[βc(λ)]n−1 for some function βc that we will specify. This geometric decay property governs the growth and dispersal behaviour of the process and lies at the core of the method of Hueter (preprint, arXiv: math.PR/0109047), which applies the thermodynamic formalism and the theory of Gibbs states by Bowen (Equilibrium States and the Ergodic Theory of Anosov Diffeomorphisms, Lecture Notes in Mathematics, Vol. 470, Springer, Berlin, 1975) to the contact process on trees. We leave open the question as to when (if at all) λc is the maximal infection rate among the components of λ.
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- 2003
19. Incidence and sequelae of prosthesis-patient mismatch in transcatheter versus surgical valve replacement in high-risk patients with severe aortic stenosis: a PARTNER trial cohort--a analysis
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Philippe, Pibarot, Neil J, Weissman, William J, Stewart, Rebecca T, Hahn, Brian R, Lindman, Thomas, McAndrew, Susheel K, Kodali, Michael J, Mack, Vinod H, Thourani, D Craig, Miller, Lars G, Svensson, Howard C, Herrmann, Craig R, Smith, Josep, Rodés-Cabau, John, Webb, Scott, Lim, Ke, Xu, Irene, Hueter, Pamela S, Douglas, and Martin B, Leon
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Aged, 80 and over ,Bioprosthesis ,Heart Valve Prosthesis Implantation ,Male ,Time Factors ,Incidence ,Aortic Valve Stenosis ,Middle Aged ,Echocardiography, Doppler ,Prosthesis Failure ,Cohort Studies ,Treatment Outcome ,Aortic Valve ,Heart Valve Prosthesis ,Humans ,Regression Analysis ,Female ,Hypertrophy, Left Ventricular ,Aged - Abstract
Little is known about the incidence of prosthesis-patient mismatch (PPM) and its impact on outcomes after transcatheter aortic valve replacement (TAVR).The objectives of this study were: 1) to compare the incidence of PPM in the TAVR and surgical aortic valve replacement (SAVR) randomized control trial (RCT) arms of the PARTNER (Placement of AoRTic TraNscathetER Valves) I Trial cohort A; and 2) to assess the impact of PPM on regression of left ventricular (LV) hypertrophy and mortality in these 2 arms and in the TAVR nonrandomized continued access (NRCA) registry cohort.The PARTNER Trial cohort A randomized patients 1:1 to TAVR or bioprosthetic SAVR. Postoperative PPM was defined as absent if the indexed effective orifice area (EOA) was0.85 cm(2)/m(2), moderate if the indexed EOA was ≥0.65 but ≤0.85 cm(2)/m(2), or severe if the indexed EOA was0.65 cm(2)/m(2). LV mass regression and mortality were analyzed using the SAVR-RCT (n = 270), TAVR-RCT (n = 304), and TAVR-NRCA (n = 1,637) cohorts.The incidence of PPM was 60.0% (severe: 28.1%) in the SAVR-RCT cohort versus 46.4% (severe: 19.7%) in the TAVR-RCT cohort (p0.001) and 43.8% (severe: 13.6%) in the TAVR-NRCA cohort. In patients with an aortic annulus diameter20 mm, severe PPM developed in 33.7% undergoing SAVR compared with 19.0% undergoing TAVR (p = 0.002). PPM was an independent predictor of less LV mass regression at 1 year in the SAVR-RCT (p = 0.017) and TAVR-NRCA (p = 0.012) cohorts but not in the TAVR-RCT cohort (p = 0.35). Severe PPM was an independent predictor of 2-year mortality in the SAVR-RCT cohort (hazard ratio [HR]: 1.78; p = 0.041) but not in the TAVR-RCT cohort (HR: 0.58; p = 0.11). In the TAVR-NRCA cohort, severe PPM was not a predictor of 1-year mortality in all patients (HR: 1.05; p = 0.60) but did independently predict mortality in the subset of patients with no post-procedural aortic regurgitation (HR: 1.88; p = 0.02).In patients with severe aortic stenosis and high surgical risk, PPM is more frequent and more often severe after SAVR than TAVR. Patients with PPM after SAVR have worse survival and less LV mass regression than those without PPM. Severe PPM also has a significant impact on survival after TAVR in the subset of patients with no post-procedural aortic regurgitation. TAVR may be preferable to SAVR in patients with a small aortic annulus who are susceptible to PPM to avoid its adverse impact on LV mass regression and survival. (The PARTNER Trial: Placement of AoRTic TraNscathetER Valve Trial; NCT00530894).
- Published
- 2014
20. A SCALE‐INVARIANT GAUSS‐MARKOV MODEL FOR DESIGN STORM HYETOGRAPHS1
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En‐Ching Hsu, Hui‐Chung Yeh, Ke‐Sheng Cheng, and Irene Hueter
- Subjects
Independent and identically distributed random variables ,Ecology ,Meteorology ,Estimator ,Storm ,Scale invariance ,Type (model theory) ,Hyetograph ,Feature (machine learning) ,Statistical physics ,Scaling ,Earth-Surface Processes ,Water Science and Technology ,Mathematics - Abstract
Hyetographs are essential to many hydrological designs. Many studies have shown that hyetographs are specific to storm types and durations. Recent work presented evidence that dimensionless hyetographs are scale invariant. We show that the simple scaling property of rainfall guarantees that the normalized rainfall rates of different storm durations are identically distributed and propose a nonstationary Gauss-Markov model based on the annual maximum events that arise from the dominant storm type. We derive the unique estimators for the parameters of the Gauss-Markov model under two constraints that: (a) the typical peak rainfall rate is preserved, and (b) the most likely hyetograph is obtained. One attractive feature of this model is that it allows translating hyetographs between storms of different durations. Two examples illustrate our model.
- Published
- 2001
21. Anisotropic branching random walks on homogeneous trees
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Irene Hueter and Steven P. Lalley
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Statistics and Probability ,Combinatorics ,Packing dimension ,Branching random walk ,Hausdorff dimension ,Minkowski–Bouligand dimension ,Dimension function ,Hausdorff measure ,Statistics, Probability and Uncertainty ,Urysohn and completely Hausdorff spaces ,Effective dimension ,Analysis ,Mathematics - Abstract
Symmetric branching random walk on a homogeneous tree exhibits a weak survival phase: For parameter values in a certain interval, the population survives forever with positive probability, but, with probability one, eventually vacates every finite subset of the tree. In this phase, particle trails must converge to the geometric boundaryΩ of the tree. The random subset Λ of the boundary consisting of all ends of the tree in which the population survives, called the limit set of the process, is shown to have Hausdorff dimension no larger than one half the Hausdorff dimension of the entire geometric boundary. Moreover, there is strict inequality at the phase separation point between weak and strong survival except when the branching random walk is isotropic. It is further shown that in all cases there is a distinguished probability measure μ supported by Ω such that the Hausdorff dimension of Λ∩Ωμ, where Ωμ is the set of μ-generic points of Ω, converges to one half the Hausdorff dimension of Ωμ at the phase separation point. Exact formulas are obtained for the Hausdorff dimensions of Λ and Λ∩Ωμ, and it is shown that the log Hausdorff dimension of Λ has critical exponent 1/2 at the phase separation point.
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- 2000
22. [Untitled]
- Author
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Irene Hueter
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Statistics and Probability ,General Mathematics ,Gaussian ,Second moment of area ,Ornstein–Uhlenbeck process ,Gaussian random field ,Moment (mathematics) ,Combinatorics ,symbols.namesake ,Statistics ,symbols ,Gaussian function ,Statistics, Probability and Uncertainty ,Gaussian process ,Random variable ,Mathematics - Abstract
Suppose that {(Xt, Yt): t>}0 is a family of two independent Gaussian random variables with means m1(t) and m2(t) and variances σ21(t) and σ22(t). If at every time t>0 the first and second moment of the minimum processXt∧Yt are known, are the parameters governing these four moment functions uniquely determined ? We answer this question in the negative for a large class of Gaussian families including the “Brownian” case. Except for some degenerate situation where one variance function dominates the other, in which case the recovery of the parameters is fully successful, the second moment of the minimum process does not provide any additional clues on identifying the parameters.
- Published
- 2000
23. Limit theorems for the convex hull of random points in higher dimensions
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Irene Hueter
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Convex analysis ,Convex hull ,Combinatorics ,Applied Mathematics ,General Mathematics ,Convex polytope ,Tight span ,Convex set ,Convex combination ,Krein–Milman theorem ,Orthogonal convex hull ,Mathematics - Published
- 1999
24. The convex hull of samples from self-similar distributions
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Irene Hueter
- Subjects
Statistics and Probability ,Convex hull ,Applied Mathematics ,010102 general mathematics ,Convex set ,Krein–Milman theorem ,Choquet theory ,01 natural sciences ,Combinatorics ,010104 statistics & probability ,Convex polytope ,Tight span ,Convex combination ,0101 mathematics ,Convex conjugate ,Mathematics - Abstract
Let X 1, X 2,… be i.i.d. random points in ℝ2 with distribution ν, and let N n denote the number of points spanning the convex hull of X 1, X 2,…,X n . We obtain lim inf n→∞ E (N n )n -1/3 ≥ γ1 and E (N n ) ≤ γ2 n 1/3(logn)2/3 for some positive constants γ1, γ2 and sufficiently large n under the assumption that ν is a certain self-similar measure on the unit disk. Our main tool consists in a geometric application of the renewal theorem. Exactly the same approach can be adopted to prove the analogous result in ℝ d .
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- 1999
25. Self-Affine Carpets on the Square Lattice
- Author
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Yuval Peres and Irene Hueter
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Statistics and Probability ,Correlation dimension ,Fractal dimension on networks ,Applied Mathematics ,Minkowski–Bouligand dimension ,Dimension function ,Effective dimension ,Theoretical Computer Science ,Combinatorics ,Fractal ,Packing dimension ,Computational Theory and Mathematics ,Hausdorff dimension ,Mathematics - Abstract
We explore the ‘Hausdorff dimension at infinity’ for self-affine carpets defined on the square lattice. This notion of dimension (due to Barlow and Taylor), which is the correct notion from a probabilistic perspective, differs for these sets from more ‘naive’ indices of fractal dimension.
- Published
- 1997
26. REDUCED INCIDENCE OF PROSTHESIS–PATIENT MISMATCH AND ITS SEQUELAE IN TRANSCATHETER VERSUS SURGICAL VALVE REPLACEMENT IN HIGH–RISK PATIENTS WITH SEVERE AORTIC STENOSIS: A PARTNER TRIAL COHORT A ANALYSIS
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William Stewart, Pamela S. Douglas, Craig Miller, Philippe Pibarot, Vinod H. Thourani, Howard C. Herrmann, Rebecca T. Hahn, Susheel Kodali, Lars G. Svensson, Irene Hueter, Neil J. Weissman, Martin B. Leon, Michael Mack, and Craig Smith
- Subjects
medicine.medical_specialty ,High risk patients ,business.industry ,Incidence (epidemiology) ,medicine.medical_treatment ,medicine.disease ,Prosthesis ,Surgery ,Stenosis ,Valve replacement ,PARTNER trial ,Cohort ,Medicine ,Radiology ,business ,Cardiology and Cardiovascular Medicine - Published
- 2013
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27. Falconer's formula for the Hausdorff dimension of a self-affine set in R2
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Irene Hueter and Steven P. Lalley
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Combinatorics ,Packing dimension ,Hausdorff distance ,Applied Mathematics ,General Mathematics ,Hausdorff dimension ,Mathematical analysis ,Minkowski–Bouligand dimension ,Affine space ,Dimension function ,Hausdorff measure ,Outer measure ,Mathematics - Abstract
Let A1, A2,…,Ak be a finite set of contractive, affine, invertible self-mappings of R2. A compact subset Λ of R2 is said to be self-affine with affinitiesA1, A2,…,Ak ifIt is known [8] that for any such set of contractive affine mappings there is a unique (compact) SA set with these affinities. When the affine mappings A1, A2,…,Ak are similarity transformations, the set Λ is said to be self-similar. Self-similar sets are well understood, at least when the images Ai(Λ) have ‘small’ overlap: there is a simple and explicit formula for the Hausdorff and box dimensions [12, 10]; these are always equal; and the δ-dimensional Hausdorff measure of such a set (where δ is the Hausdorff dimension) is always positive and finite.
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- 1995
28. Implementation of echocardiography core laboratory best practices: a case study of the PARTNER I trial
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Pamela S. Douglas, Rebecca T. Hahn, William J. Stewart, Martin B. Leon, Philippe Pibarot, Robert A. Waugh, Gary Dunn, Neil J. Weissman, D. Craig Miller, Irene Hueter, LaGia Davis, Craig R. Smith, Robert J. Siegel, Gerald S. Bloomfield, and Stamatios Lerakis
- Subjects
Aortic valve ,Male ,medicine.medical_specialty ,Quality Assurance, Health Care ,Intraclass correlation ,medicine.medical_treatment ,Heart Ventricles ,Doppler echocardiography ,Internal medicine ,Multicenter trial ,medicine ,Image Processing, Computer-Assisted ,Humans ,Radiology, Nuclear Medicine and imaging ,Aorta ,Aged ,Aged, 80 and over ,Heart Valve Prosthesis Implantation ,Clinical Trials as Topic ,Percutaneous aortic valve replacement ,Ejection fraction ,medicine.diagnostic_test ,business.industry ,Hemodynamics ,Reproducibility of Results ,Aortic Valve Stenosis ,medicine.disease ,Echocardiography, Doppler ,Clinical trial ,Stenosis ,Benchmarking ,medicine.anatomical_structure ,Surgery, Computer-Assisted ,Echocardiography ,Practice Guidelines as Topic ,Cardiology ,Feasibility Studies ,Female ,Radiology ,Guideline Adherence ,Cardiology and Cardiovascular Medicine ,business ,Laboratories - Abstract
Background Multicenter clinical trials use echocardiographic core laboratories to ensure expertise and consistency in the assessment of imaging eligibility criteria, as well as safety and efficacy end points. The aim of this study was to report the real-world implementation of guidelines for best practices in echocardiographic core laboratories, including their feasibility and quality results, in a large, international multicenter trial. Methods Processes and procedures were developed to optimize the acquisition and analysis of echocardiograms for the Placement of Aortic Transcatheter Valves (PARTNER) I trial of percutaneous aortic valve replacement for aortic stenosis. Comparison of baseline findings in the operative and nonoperative cohorts and reproducibility analyses were performed. Results Echocardiography was performed in 1,055 patients (mean age, 83 years; 54% men) The average peak and mean aortic valve gradients were 73 ± 24 and 43 ± 15 mm Hg, and the average aortic valve area was 0.64 ± 0.20 cm 2 . The average ejection fraction was 52 ± 13% by visual estimation and 53 ± 14% by biplane planimetry. The mean left ventricular mass index was 151 ± 42 g/m 2 . The inoperable cohort had lower left ventricular mass and mass indexes and tended to have more severe mitral regurgitation. Core lab reproducibility was excellent, with intraclass correlation coefficients ranging from 0.92 to 0.99 and κ statistics from 0.58 to 0.85 for key variables. The image acquisition quality improvement process brought measurability to >85%, which was maintained for the duration of the study. Conclusions This real-world echocardiographic core lab experience in the PARTNER I trial demonstrates that a high standard of measurability and reproducibility can result from extensive quality assurance efforts in both image acquisition and analysis. These results and the echocardiographic data reported here provide a reference for future studies of aortic stenosis patients and should encourage the wider use of echocardiography in clinical research.
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- 2012
29. Vascular complications after transcatheter aortic valve replacement: insights from the PARTNER (Placement of AoRTic TraNscathetER Valve) trial
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Philippe, Généreux, John G, Webb, Lars G, Svensson, Susheel K, Kodali, Lowell F, Satler, William F, Fearon, Charles J, Davidson, Andrew C, Eisenhauer, Raj R, Makkar, Geoffrey W, Bergman, Vasilis, Babaliaros, Joseph E, Bavaria, Omaida C, Velazquez, Mathew R, Williams, Irene, Hueter, Ke, Xu, and Martin B, Leon
- Subjects
Aged, 80 and over ,Heart Defects, Congenital ,Heart Valve Prosthesis Implantation ,Male ,Cardiac Catheterization ,Heart Valve Diseases ,Cohort Studies ,Femoral Artery ,Postoperative Complications ,Bicuspid Aortic Valve Disease ,Predictive Value of Tests ,Aortic Valve ,Heart Valve Prosthesis ,Humans ,Vascular Diseases ,Aged - Abstract
This study sought to identify incidence, predictors, and impact of vascular complications (VC) after transfemoral (TF) transcatheter aortic valve replacement (TAVR).VC after TF-TAVR are frequent and may be associated with unfavorable prognosis.From the randomized controlled PARTNER (Placement of AoRTic TraNscathetER Valve) trial, a total of 419 patients (177 from cohort B [inoperable] and 242 from cohort A [operable high-risk]) were randomly assigned to TF-TAVR and actually received the designated treatment. First-generation Edwards-Sapien valves and delivery systems were used, via a 22- or 24-F sheath. The 30-day rates of major and minor VC (modified Valve Academic Research Consortium definitions), predictors, and effect on 1-year mortality were assessed.Sixty-four patients (15.3%) had major VC and 50 patients (11.9%) had minor VC within 30 days of the procedure. Among patients with major VC, vascular dissection (62.8%), perforation (31.3%), and access-site hematoma (22.9%) were the most frequent modes of presentation. Major VC, but not minor VC, were associated with significantly higher 30-day rates of major bleeding, transfusions, and renal failure requiring dialysis, and with a significantly higher rate of 30-day and 1-year mortality. The only identifiable independent predictor of major VC was female gender (hazard ratio [HR]: 2.31 [95% confidence interval (CI): 1.08 to 4.98], p = 0.03). Major VC (HR: 2.31 [95% CI: 1.20 to 4.43], p = 0.012), and renal disease at baseline (HR: 2.26 [95% CI: 1.34 to 3.81], p = 0.002) were identified as independent predictors of 1-year mortality.Major VC were frequent after TF-TAVR in the PARTNER trial using first-generation devices and were associated with high mortality. However, the incidence and impact of major VC on 1-year mortality decreased with lower-risk populations.
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- 2012
30. The convex hull of a normal sample
- Author
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Irene Hueter
- Subjects
Convex analysis ,Convex hull ,Statistics and Probability ,Applied Mathematics ,010102 general mathematics ,Convex set ,Krein–Milman theorem ,01 natural sciences ,Combinatorics ,010104 statistics & probability ,Convex polytope ,Gauss–Lucas theorem ,Convex combination ,0101 mathematics ,Orthogonal convex hull ,Mathematics - Abstract
Consider the convex hull of n independent, identically distributed points in the plane. Functionals of interest are the number of vertices Nn , the perimeter Ln and the area An of the convex hull. We study the asymptotic behaviour of these three quantities when the points are standard normally distributed. In particular, we derive the variances of Nn, Ln and An for large n and prove a central limit theorem for each of these random variables. We enlarge on a method developed by Groeneboom (1988) for uniformly distributed points supported on a bounded planar region. The process of vertices of the convex hull is of central importance. Poisson approximation and martingale techniques are used.
- Published
- 1994
31. IMPACT OF PREOPERATIVE MODERATE/SEVERE MITRAL REGURGITATION ON PATIENTS UNDERGOING PERCUTANEOUS AND SURGICAL AORTIC VALVE REPLACEMENT: INSIGHTS FROM THE PARTNER TRIAL
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Vasilis Babaliaros, Susheel Kodali, Ted Feldman, Marco Barbanti, Craig E. Smith, Maria C. Alu, Martin B. Leon, Raj Makkar, Wilson Y. Szeto, Irene Hueter, Christopher R. Thompson, D. Craig Miller, Philip Green, Rebecca Hahn, John G. Webb, and Alan Zajarias
- Subjects
medicine.medical_specialty ,Mitral regurgitation ,Percutaneous ,Aortic valve replacement ,business.industry ,Internal medicine ,PARTNER trial ,medicine ,Cardiology ,Cardiology and Cardiovascular Medicine ,medicine.disease ,business ,Surgery - Published
- 2013
32. TCT-891 Outcomes Of Transcatheter Aortic Valve Replacement Versus Standard Therapy Among Women Deemed Too High Risk For Surgery In The PARTNER Trial
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Ajay J. Kirtane, Neil J. Weissman, E. Murat Tuzcu, Susheel Kodali, Maria Alu, Vinod H. Thourani, Lars G. Svensson, Martin B. Leon, Michael J. Mack, Vuyisile T. Nkomo, Karin H. Humphries, David Cohen, and Irene Hueter
- Subjects
medicine.medical_specialty ,endocrine system diseases ,Transcatheter aortic ,Valve replacement ,business.industry ,medicine.medical_treatment ,PARTNER trial ,nutritional and metabolic diseases ,Medicine ,Cardiology and Cardiovascular Medicine ,business ,Standard therapy ,Surgery - Published
- 2012
33. TCT-95 Outcomes of Transcatheter vs. Surgical Aortic Valve Replacement in Women: Insights from the Randomized PARTNER Trial
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Mathew R. Williams, Irene Hueter, Michael J. Mack, Martin B. Leon, Karin H. Humphries, E. Murat Tuzcu, Lars G. Svensson, Neil J. Weissman, Vinod H. Thourani, Maria Alu, Vuyisile T. Nkomo, David Cohen, Ajay J. Kirtane, and Susheel Kodali
- Subjects
medicine.medical_specialty ,Aortic valve replacement ,business.industry ,PARTNER trial ,medicine ,Cardiology and Cardiovascular Medicine ,business ,medicine.disease ,respiratory tract diseases ,Surgery - Published
- 2012
34. TCT-93 Relationship of Transcatheter and Surgical Aortic Valve Replacement with Left Ventricular Function in High-Risk Patients with Aortic Stenosis
- Author
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Martin B. Leon, Igor F. Palacios, Sammy Elmariah, Susheel Kodali, Jonathan J. Passeri, Irene Hueter, Maureen Daher, Gus J. Vlahakes, Pamela S. Douglas, Ignacio Inglessis, Philippe Pibarot, Ronan Margey, Praveen Mehrotra, Joshua N. Baker, Arvind K. Agnihotri, and Lars G. Svensson
- Subjects
medicine.medical_specialty ,High risk patients ,Ventricular function ,business.industry ,medicine.medical_treatment ,medicine.disease ,Stenosis ,Aortic valve replacement ,Valve replacement ,Internal medicine ,Cohort ,cardiovascular system ,Ventricular pressure ,medicine ,Cardiology ,business ,Cardiology and Cardiovascular Medicine - Abstract
The Placement of Aortic Transcatheter Valves (PARTNER) trial Cohort A demonstrated similar survival after transcatheter and surgical aortic valve replacement (TAVR and SAVR, respectively) in high-risk operable patients with symptomatic, severe aortic stenosis (AS). The impact of valve replacement
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- View/download PDF
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