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Dive into the research topics where Susan Todd is active.

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Featured researches published by Susan Todd.


Intensive Care Medicine | 2005

The Acute Care Undergraduate TEaching (ACUTE) Initiative : consensus development of core competencies in acute care for undergraduates in the United Kingdom

Gavin D. Perkins; Hannah Barrett; Ian Bullock; David Gabbott; Jerry P. Nolan; Sarah Mitchell; Alasdair Short; Chris Smith; Gary B. Smith; Susan Todd; Julian Bion

BackgroundThe care of the acutely ill patient in hospital is often sub-optimal. Poor recognition of critical illness combined with a lack of knowledge, failure to appreciate the clinical urgency of a situation, a lack of supervision, failure to seek advice and poor communication have been identified as contributory factors. At present the training of medical students in these important skills is fragmented. The aim of this study was to use consensus techniques to identify the core competencies in the care of acutely ill or arrested adult patients that medical students should possess at the point of graduation.DesignHealthcare professionals were invited to contribute suggestions for competencies to a website as part of a modified Delphi survey. The competency proposals were grouped into themes and rated by a nominal group comprised of physicians, nurses and students from the UK. The nominal group rated the importance of each competency using a 5-point Likert scale.ResultsA total of 359 healthcare professionals contributed 2,629 competency suggestions during the Delphi survey. These were reduced to 88 representative themes covering: airway and oxygenation; breathing and ventilation; circulation; confusion and coma; drugs, therapeutics and protocols; clinical examination; monitoring and investigations; team-working, organisation and communication; patient and societal needs; trauma; equipment; pre-hospital care; infection and inflammation. The nominal group identified 71 essential and 16 optional competencies which students should possess at the point of graduation.ConclusionsWe propose these competencies form a core set for undergraduate training in resuscitation and acute care.


Journal of Biopharmaceutical Statistics | 2005

An Adaptive Group Sequential Design for Phase II/III Clinical Trials that Select a Single Treatment From Several

Patrick Kelly; Nigel Stallard; Susan Todd

ABSTRACT There is increasing interest in combining Phases II and III of clinical development into a single trial in which one of a small number of competing experimental treatments is ultimately selected and where a valid comparison is made between this treatment and the control treatment. Such a trial usually proceeds in stages, with the least promising experimental treatments dropped as soon as possible. In this paper we present a highly flexible design that uses adaptive group sequential methodology to monitor an order statistic. By using this approach, it is possible to design a trial which can have any number of stages, begins with any number of experimental treatments, and permits any number of these to continue at any stage. The test statistic used is based upon efficient scores, so the method can be easily applied to binary, ordinal, failure time, or normally distributed outcomes. The method is illustrated with an example, and simulations are conducted to investigate its type I error rate and power under a range of scenarios.


British Journal of Nutrition | 2012

A review of the evidence for the effects of total dietary fat, saturated, monounsaturated and n-6 polyunsaturated fatty acids on vascular function, endothelial progenitor cells and microparticles

Katerina Vafeiadou; Michelle Weech; Vandana Sharma; Parveen Yaqoob; Susan Todd; Christine M. Williams; Kim G. Jackson; Julie A. Lovegrove

Vascular dysfunction is recognised as an integrative marker of CVD. While dietary strategies aimed at reducing CVD risk include reductions in the intake of SFA, there are currently no clear guidelines on what should replace SFA. The purpose of this review was to assess the evidence for the effects of total dietary fat and individual fatty acids (SFA, MUFA and n-6 PUFA) on vascular function, cellular microparticles and endothelial progenitor cells. Medline was systematically searched from 1966 until November 2010. A total of fifty-nine peer-reviewed publications (covering fifty-six studies), which included five epidemiological, eighteen dietary intervention and thirty-three test meal studies, were identified. The findings from the epidemiological studies were inconclusive. The limited data available from dietary intervention studies suggested a beneficial effect of low-fat diets on vascular reactivity, which was strongest when the comparator diet was high in SFA, with a modest improvement in measures of vascular reactivity when high-fat, MUFA-rich diets were compared with SFA-rich diets. There was consistent evidence from the test meal studies that high-fat meals have a detrimental effect on postprandial vascular function. However, the evidence for the comparative effects of test meals rich in MUFA or n-6 PUFA with SFA on postprandial vascular function was limited and inconclusive. The lack of studies with comparable within-study dietary fatty acid targets, a variety of different study designs and different methods for determining vascular function all confound any clear conclusions on the impact of dietary fat and individual fatty acids on vascular function.


The American Journal of Clinical Nutrition | 2015

Replacement of saturated with unsaturated fats had no impact on vascular function but beneficial effects on lipid biomarkers, E-selectin, and blood pressure: results from the randomized, controlled Dietary Intervention and VAScular function (DIVAS) study

Katerina Vafeiadou; Michelle Weech; Hana Altowaijri; Susan Todd; Parveen Yaqoob; Kim G. Jackson; Julie A. Lovegrove

BACKGROUND Public health strategies to lower cardiovascular disease (CVD) risk involve reducing dietary saturated fatty acid (SFA) intake to ≤10% of total energy (%TE). However, the optimal type of replacement fat is unclear. OBJECTIVE We investigated the substitution of 9.5-9.6%TE dietary SFAs with either monounsaturated fatty acids (MUFAs) or n-6 (ω-6) polyunsaturated fatty acids (PUFAs) on vascular function and other CVD risk factors. DESIGN In a randomized, controlled, single-blind, parallel-group dietary intervention, 195 men and women aged 21-60 y from the United Kingdom with moderate CVD risk (≥50% above the population mean) followed one of three 16-wk isoenergetic diets (%TE target compositions, total fat:SFA:MUFA:n-6 PUFA) that were rich in SFAs (36:17:11:4, n = 65), MUFAs (36:9:19:4, n = 64), or n-6 PUFAs (36:9:13:10, n = 66). The primary outcome measure was flow-mediated dilatation; secondary outcome measures included fasting serum lipids, microvascular reactivity, arterial stiffness, ambulatory blood pressure, and markers of insulin resistance, inflammation, and endothelial activation. RESULTS Replacing SFAs with MUFAs or n-6 PUFAs did not affect the percentage of flow-mediated dilatation (primary endpoint) or other measures of vascular reactivity. Of the secondary outcome measures, substitution of SFAs with MUFAs attenuated the increase in night systolic blood pressure (-4.9 mm Hg, P = 0.019) and reduced E-selectin (-7.8%, P = 0.012). Replacement with MUFAs or n-6 PUFAs lowered fasting serum total cholesterol (-8.4% and -9.2%, respectively), low-density lipoprotein cholesterol (-11.3% and -13.6%), and total cholesterol to high-density lipoprotein cholesterol ratio (-5.6% and -8.5%) (P ≤ 0.001). These changes in low-density lipoprotein cholesterol equate to an estimated 17-20% reduction in CVD mortality. CONCLUSIONS Substitution of 9.5-9.6%TE dietary SFAs with either MUFAs or n-6 PUFAs did not significantly affect the percentage of flow-mediated dilatation or other measures of vascular function. However, the beneficial effects on serum lipid biomarkers, blood pressure, and E-selectin offer a potential public health strategy for CVD risk reduction. This trial was registered at www.clinicaltrials.gov as NCT01478958.


Drug Information Journal | 2005

A New Clinical Trial Design Combining Phases 2 and 3: Sequential Designs with Treatment Selection and a Change of Endpoint

Susan Todd; Nigel Stallard

This paper describes a method for designing a clinical trial to combine aspects of Phases 2 and 3 of the clinical development program. Specifically, a group sequential design is presented, which incorporates treatment selection based upon a short-term “provisional” endpoint, as is often undertaken in Phase 2 trials, followed by a comparison of the selected treatment with control in terms of a longer-term primary endpoint. An example is given illustrating the methodology and we discuss how this approach may reduce the total number of patients required in the evaluation process without compromising its integrity, leading to more ethical and efficient clinical studies.


Statistics in Medicine | 2001

Mid-trial design reviews for sequential clinical trials

John Whitehead; Anne Whitehead; Susan Todd; Kim Bolland; M. Roshini Sooriyarachchi

When sequential clinical trials are conducted by plotting a statistic measuring treatment difference against another measuring information, power is guaranteed regardless of nuisance parameters. However, values need to be assigned to nuisance parameters in order to gain an impression of the sample size distribution. Each interim analysis provides an opportunity to re-evaluate the relationship between sample size and information. In this paper we discuss such mid-trial design reviews. In the special cases of trials with a relatively short recruitment phase followed by a longer period of follow-up, and of normally distributed responses, mid-trial design reviews are particularly important. Examples are given of the various situations considered, and extensive simulations are reported demonstrating the validity of the review procedure in the case of normally distributed responses.


Statistics in Medicine | 2011

Designing a seamless phase II/III clinical trial using early outcomes for treatment selection: An application in multiple sclerosis

Tim Friede; Nicholas R. Parsons; Nigel Stallard; Susan Todd; E. Valdes Marquez; Richard Nicholas

In recent years adaptive seamless phase II/III designs (ASDs) allowing treatment or dose selection at an interim analysis have gained much attention because of their potential to save development costs and to shorten time-to-market of a new compound compared to conventional drug development programmes with separate trials for individual phases. In this paper, we describe an ASD with treatment selection based on early outcome data, specifically considering the situation where no final outcomes are observed at the time of the interim analysis. Bringing together combination tests for adaptive designs and the closure principle for multiple testing, control of the familywise type I error rate in the strong sense is achieved. Furthermore, a simulation model is proposed based on standardized test statistics that allows the generation of virtual trials for a variety of outcomes. We use this simulation model to investigate the actual type I error rate of the proposed testing procedure and find that the familywise type I error rate is controlled as expected. The method is often conservative, with the degree of conservatism depending on the correlation between early and late outcome, the true mean values of the early outcome in the different treatment groups and the selection rule. The investigations are motivated and illustrated by an application of the proposed design and simulation model to progressive multiple sclerosis.


Multiple Sclerosis Journal | 2011

A novel adaptive design strategy increases the efficiency of clinical trials in secondary progressive multiple sclerosis

Richard Nicholas; Susan Todd; David H. Miller; Nicholas R. Parsons; Elsa Valdés-Márquez; Nigel Stallard; Tim Friede

Background:Adaptive seamless designs (ASDs) have been proposed to test multiple candidate compounds using an interim decision point which allows potentially effective therapies to be taken into the next design stage and to be assessed using a phase III outcome. Objective:To determine whether ASDs are feasible in secondary progressive multiple sclerosis (SPMS) and to compare them with conventional trial designs. Methods:We develop an innovative adaptive trial design for SPMS, which builds on recent developments in statistical methodology. A literature search and individual clinical datasets were used to inform a framework to run simulations to evaluate the proposed design. Results:ASDs are feasible in SPMS with MRI informing an interim decision point and Expanded Disability Status Scale (EDSS) as the final disability endpoint. Furthermore ASDs are more efficient than conventional designs with sample size savings of up to 40%. Sample sizes of 1000–1250 patients are sufficient to test up to four experimental treatments. Controlled recruitment is important to realize the full benefits of ASDs. Conclusions:Although more complex in design, ASDs have the potential to be more efficient and more powerful than conventional designs.


Statistical Methods in Medical Research | 2011

Seamless phase II/III designs

Nigel Stallard; Susan Todd

In recent years, there has been a drive to save development costs and shorten time-to-market of new therapies. Research into novel trial designs to facilitate this goal has led to, amongst other approaches, the development of methodology for seamless phase II/III designs. Such designs allow treatment or dose selection at an interim analysis and comparative evaluation of efficacy with control, in the same study. Methods have gained much attention because of their potential advantages compared to conventional drug development programmes with separate trials for individual phases. In this article, we review the various approaches to seamless phase II/III designs based upon the group-sequential approach, the combination test approach and the adaptive Dunnett method. The objective of this article is to describe the approaches in a unified framework and highlight their similarities and differences to allow choice of an appropriate methodology by a trialist considering conducting such a trial.


Journal of The Royal Statistical Society Series B-statistical Methodology | 2000

Confidence intervals for secondary parameters following a sequential test

John Whitehead; Susan Todd; W. J. Hall

In sequential studies, formal interim analyses are usually restricted to a consideration of a single null hypothesis concerning a single parameter of interest. Valid frequentist methods of hypothesis testing and of point and interval estimation for the primary parameter have already been devised for use at the end of such a study. However, the completed data set may warrant a more detailed analysis, involving the estimation of parameters corresponding to effects that were not used to determine when to stop, and yet correlated with those that were. This paper describes methods for setting confidence intervals for secondary parameters in a way which provides the correct coverage probability in repeated frequentist realizations of the sequential design used. The method assumes that information accumulates on the primary and secondary parameters at proportional rates. This requirement will be valid in many potential applications, but only in limited situations in survival analysis.

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Tim Friede

University of Göttingen

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