Search

Your search keyword '"Baxter, Paul D."' showing total 226 results
Start Over Author "Baxter, Paul D."
226 results on '"Baxter, Paul D."'

1. PIEZO1 and PECAM1 interact at cell-cell junctions and partner in endothelial force sensing

Author

Chuntharpursat-Bon, Eulashini, Povstyan, Oleksandr V., Ludlow, Melanie J., Carrier, David J., Debant, Marjolaine, Shi, Jian, Gaunt, Hannah J., Bauer, Claudia C., Curd, Alistair, Simon Futers, T., Baxter, Paul D., Peckham, Michelle, Muench, Stephen P., Adamson, Antony, Humphreys, Neil, Tumova, Sarka, Bon, Robin S., Cubbon, Richard, Lichtenstein, Laeticia, and Beech, David J.

Published
2023
Full Text
View/download PDF

2. Multilevel latent class (MLC) modelling of healthcare provider causal effects on patient outcomes: Evaluation via simulation

Author

Harrison, Wendy J., Baxter, Paul D., and Gilthorpe, Mark S.

Subjects
Statistics - Methodology, Statistics - Applications
Abstract

Where performance comparison of healthcare providers is of interest, characteristics of both patients and the health condition of interest must be balanced across providers for a fair comparison. This is unlikely to be feasible within observational data, as patient population characteristics may vary geographically and patient care may vary by characteristics of the health condition. We simulated data for patients and providers, based on a previously utilized real-world dataset, and separately considered both binary and continuous covariate-effects at the upper level. Multilevel latent class (MLC) modelling is proposed to partition a prediction focus at the patient level (accommodating casemix) and a causal inference focus at the provider level. The MLC model recovered a range of simulated Trust-level effects. Median recovered values were almost identical to simulated values for the binary Trust-level covariate, and we observed successful recovery of the continuous Trust-level covariate with at least 3 latent Trust classes. Credible intervals widen as the error variance increases. The MLC approach successfully partitioned modelling for prediction and for causal inference, addressing the potential conflict between these two distinct analytical strategies. This improves upon strategies which only adjust for differential selection. Patient-level variation and measurement uncertainty are accommodated within the latent classes., Comment: 19 pages, 5 figures. Abstract to be published in the conference proceedings for the Society for Social Medicine & Population Health and International Epidemiology Association European Congress Joint Annual Scientific Meeting, September 2019

Published
2019

3. Application of Cox Model to predict the survival of patients with Chronic Heart Failure: A latent class regression approach

Author

Mbotwa, John, de Kamps, Marc, Baxter, Paul D., and Gilthorpe, Mark S.

Subjects
Statistics - Methodology
Abstract

Most prediction models that are used in medical research fail to accurately predict health outcomes due to methodological limitations. Using routinely collected patient data, we explore the use of a Cox proportional hazard (PH) model within a latent class framework to model survival of patients with chronic heart failure (CHF). We identify subgroups of patients based on their risk with the aid of available covariates. We allow each subgroup to have its own risk model.We choose an optimum number of classes based on the reported Bayesian information criteria (BIC). We assess the discriminative ability of the chosen model using an area under the receiver operating characteristic curve (AUC) for all the cross-validated and bootstrapped samples.We conduct a simulation study to compare the predictive performance of our models. Our proposed latent class model outperforms the standard one class Cox PH model., Comment: 12 pages

Published
2019

10. The Authors Respond

Author

Berrie, Laurie, Ellison, George T.H., Norman, Paul D., Baxter, Paul D., Feltbower, Richard G., Tennant, Peter W. G., and Gilthorpe, Mark S.

Published
2019
Full Text
View/download PDF

13. Association between operator volume and mortality in primary percutaneous coronary intervention

Author

Krishnamurthy, Arvindra, primary, Keeble, Claire M, additional, Anderson, Michelle, additional, Burton-Wood, Natalie, additional, Somers, Kathryn, additional, Harland, Charlotte, additional, Baxter, Paul D, additional, McLenachan, Jim M, additional, Blaxill, Jonathan M, additional, Blackman, Daniel J, additional, Malkin, Christopher J, additional, Wheatcroft, Stephen B, additional, and Greenwood, John P, additional

Published
2022
Full Text
View/download PDF

23. Latent class regression improves the predictive acuity and clinical utility of survival prognostication amongst chronic heart failure patients

Author

Mbotwa, John L., Kamps, Marc de, Baxter, Paul D., Ellison, George, Gilthorpe, Mark S., Mbotwa, John L., Kamps, Marc de, Baxter, Paul D., Ellison, George, and Gilthorpe, Mark S.

Abstract

The present study aimed to compare the predictive acuity of latent class regression (LCR) modelling with: standard generalised linear modelling (GLM); and GLMs that include the membership of subgroups/classes (identified through prior latent class analysis; LCA) as alternative or additional candidate predictors. Using real world demographic and clinical data from 1,802 heart failure patients enrolled in the UK-HEART2 cohort, the study found that univariable GLMs using LCA-generated subgroup/class membership as the sole candidate predictor of survival were inferior to standard multivariable GLMs using the same four covariates as those used in the LCA. The inclusion of the LCA subgroup/class membership together with these four covariates as candidate predictors in a multivariable GLM showed no improvement in predictive acuity. In contrast, LCR modelling resulted in a 18–22% improvement in predictive acuity and provided a range of alternative models from which it would be possible to balance predictive acuity against entropy to select models that were optimally suited to improve the efficient allocation of clinical resources to address the differential risk of the outcome (in this instance, survival). These findings provide proof-of-principle that LCR modelling can improve the predictive acuity of GLMs and enhance the clinical utility of their predictions. These improvements warrant further attention and exploration, including the use of alternative techniques (including machine learning algorithms) that are also capable of generating latent class structure while determining outcome predictions, particularly for use with large and routinely collected clinical datasets, and with binary, count and continuous variables.

Published
2021

28. An EVD algorithm for para-hermitian matrices

Author

McWhirter, John G., Baxter, Paul D., Cooper, Tom, Redif, Soydan, and Foster, Joanne

Subjects
Eigenvalues -- Analysis, Signal processing -- Methods, MIMO communications -- Analysis, Digital signal processor, Business, Computers, Electronics, Electronics and electrical industries
Abstract

An algorithm for computing the eigenvalue decomposition of a para-Hermitian polynomial matrix is described and the application to signal processing in terms of strong decorrelation and multichannel data compaction is brought out.

Published
2007

40. Paraunitary Oversampled Filter Bank Design for Channel Coding

Author

Cooper Tom, Baxter Paul D, McWhirter John G, Weiss Stephan, Redif Soydan, and Liu Chunguang

Subjects
Telecommunication, TK5101-6720, Electronics, TK7800-8360
Abstract

Oversampled filter banks (OSFBs) have been considered for channel coding, since their redundancy can be utilised to permit the detection and correction of channel errors. In this paper, we propose an OSFB-based channel coder for a correlated additive Gaussian noise channel, of which the noise covariance matrix is assumed to be known. Based on a suitable factorisation of this matrix, we develop a design for the decoder's synthesis filter bank in order to minimise the noise power in the decoded signal, subject to admitting perfect reconstruction through paraunitarity of the filter bank. We demonstrate that this approach can lead to a significant reduction of the noise interference by exploiting both the correlation of the channel and the redundancy of the filter banks. Simulation results providing some insight into these mechanisms are provided.

Published
2006
Full Text
View/download PDF

41. Piezo1 channels sense whole body physical activity to reset cardiovascular homeostasis and enhance performance

Author

Rode, Baptiste, Shi, Jian, Endesh, Naima, Drinkhill, Mark J., Webster, Peter J., Lotteau, Sabine J., Bailey, Marc A., Yuldasheva, Nadira Y., Ludlow, Melanie J., Cubbon, Richard M., Li, Jing, Futers, T. Simon, Morley, Lara, Gaunt, Hannah J., Marszalek, Katarzyna, Viswambharan, Hema, Cuthbertson, Kevin, Baxter, Paul D., Foster, Richard, Sukumar, Piruthivi, Weightman, Andrew, Calaghan, Sarah C., Wheatcroft, Stephen B., Kearney, Mark T., and Beech, David J.

Subjects
Male, ResearchInstitutes_Networks_Beacons/MICRA, Patch-Clamp Techniques, Science, Myocytes, Smooth Muscle, Endothelial Cells, Blood Pressure, Article, Ion Channels, Mice, HEK293 Cells, Manchester Institute for Collaborative Research on Ageing, Vasoconstriction, Physical Conditioning, Animal, Animals, Homeostasis, Humans, lcsh:Q, Calcium Signaling, lcsh:Science, Cells, Cultured
Abstract

Mammalian biology adapts to physical activity but the molecular mechanisms sensing the activity remain enigmatic. Recent studies have revealed how Piezo1 protein senses mechanical force to enable vascular development. Here, we address Piezo1 in adult endothelium, the major control site in physical activity. Mice without endothelial Piezo1 lack obvious phenotype but close inspection reveals a specific effect on endothelium-dependent relaxation in mesenteric resistance artery. Strikingly, the Piezo1 is required for elevated blood pressure during whole body physical activity but not blood pressure during inactivity. Piezo1 is responsible for flow-sensitive non-inactivating non-selective cationic channels which depolarize the membrane potential. As fluid flow increases, depolarization increases to activate voltage-gated Ca2+ channels in the adjacent vascular smooth muscle cells, causing vasoconstriction. Physical performance is compromised in mice which lack endothelial Piezo1 and there is weight loss after sustained activity. The data suggest that Piezo1 channels sense physical activity to advantageously reset vascular control., The mechanisms that regulate the body’s response to exercise are poorly understood. Here, Rode et al. show that the mechanically activated cation channel Piezo1 is a molecular sensor of physical exercise in the endothelium that triggers endothelial communication to mesenteric vessel muscle cells, leading to vasoconstriction.

Published
2017
Full Text
View/download PDF

42. Clinical outcomes following primary percutaneous coronary intervention for ST-elevation myocardial infarction according to sex and race

Author

Krishnamurthy, Arvindra, primary, Keeble, Claire, additional, Burton-Wood, Natalie, additional, Somers, Kathryn, additional, Anderson, Michelle, additional, Harland, Charlotte, additional, Baxter, Paul D, additional, McLenachan, James M, additional, Blaxill, Jonathan M, additional, Blackman, Daniel J, additional, Malkin, Christopher J, additional, Wheatcroft, Stephen B, additional, and Greenwood, John P, additional

Published
2017
Full Text
View/download PDF

43. Relative survival and excess mortality following primary percutaneous coronary intervention for ST-elevation myocardial infarction

Author

Brogan, Richard A, primary, Alabas, Oras, additional, Almudarra, Sami, additional, Hall, Marlous, additional, Dondo, Tatendashe B, additional, Mamas, Mamas A, additional, Baxter, Paul D, additional, Batin, Phillip D, additional, Curzen, Nick, additional, de Belder, Mark, additional, Ludman, Peter F, additional, and Gale, Chris P, additional

Published
2017
Full Text
View/download PDF

48. Patient Acceptability of the Yorkshire Dialysis Decision AID (YODDA) Booklet: A Prospective Non-Randomized Comparison Study across 6 Predialysis Services

Author

Winterbottom, Anna E., primary, Gavaruzzi, Teresa, additional, Mooney, Andrew, additional, Wilkie, Martin, additional, Davies, Simon J., additional, Crane, Dennis, additional, Tupling, Ken, additional, Baxter, Paul D., additional, Meads, David M., additional, Mathers, Nigel, additional, and Bekker, Hilary L., additional

Published
2016
Full Text
View/download PDF

50. Impact of left ventricular function and transaortic gradient on outcomes from transcatheter aortic valve implantation: data from the UK TAVI Registry

Author

Malkin, Christopher J., primary, Long, W. Robert, additional, Baxter, Paul D., additional, Gale, Christopher P., additional, Wendler, Olaf, additional, Monaghan, Mark, additional, Thomas, Martyn T., additional, Ludman, Peter F., additional, de Belder, Mark A., additional, Cunningham, Andrew D., additional, Moat, Neil E., additional, and Blackman, Daniel J., additional

Published
2016
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results