The SHARP CKD-CVD outcomes model simulates long-term cardiovascular event rates, kidney disease progression, (quality-of-life adjusted) survival and healthcare costs associated with individual patient profiles and treatments. It can be applied to patient populations with moderate-to-severe chronic kidney disease who are over 40 years of age, and can be used with individual patients as well as groups of patients.
The model reports long-term projections as well as cost-effectiveness results comparing against the 'no treatment' strategy. The evaluated health outcomes and costs are reported separately for each treatment arm. The user can vary parameters to assess sensitivity of the results.
To perform the analysis, specify the required parameters using the 'Model parameter' tabs and click on the 'Run analyses' button on the Results tab. Please refer to the User guide and the published manuscript for further information.
The Glossary tab contains a list of commonly used definitions.
When referring to this program in publications, please cite the following references:
Schlackow I, Kent S, Herrington W, Emberson J, Haynes R, Reith C, Wanner C, Fellström B, Gray A, Landray MJ, Baigent C, Mihaylova B, on behalf of the SHARP Collaborative Group. A policy model of cardiovascular disease in moderate-to-advanced chronic kidney disease. Heart. Published Online First: 05 August 2017. doi: 10.1136/heartjnl-2016-310970
Schlackow I, Mihaylova B. The SHARP outcomes CKD-CVD outcomes model. 2016; available at http://dismod.ndph.ox.ac.uk/kidneymodel/app/
For queries, bug reports and suggestions, please email email@example.com
We thank Oliver Verran and Seamus Kent for their contribution to the development of the first version of the model and providing further feedback. We are also grateful to the IT team of the Oxford University's Nuffield Department of Population Health for their support in installing and running the software.
The web interface for the SHARP CKD-CVD outcomes model is freely available for use.
The University of Oxford is a charitable foundation devoted to education and research, and in order to protect its assets for the benefit of those objects, the University must make it clear that no condition is made or to be implied nor is any warranty given or to be implied as to the quality or accuracy of the Tool, or that it will be suitable for any particular purpose or for use under any specific conditions. The University and its staff accept no responsibility for the use which you make of the Tool. The University's liability for anything arising out of or in connection with the Tool supplied will not extend to loss of business or profit, or to any indirect or consequential damages or losses.
This page contains a list of specialist terms that are used throughout the interface. A copy of the Glossary is also available here
Body-mass index (BMI): the weight of an individual divided by their height squared, measured in kg/m².
Chronic kidney disease (CKD): a long-term condition characterised by an impaired kidney function. The diagnosis is usually based on estimating or measuring patient's glomerular filtration rate (GFR) at least twice 90 days apart, with CKD defined as (e)GFR <90 ml/min/1.73m².
CKD stage 3B: mild-to-moderate chronic kidney disease, defined as eGFR 30-45 ml/min/1.73m².
CKD stage 4: Moderate chronic kidney disease, defined as eGFR 15-29 ml/min/1.73m².
CKD stage 5: Advanced chronic kidney disease, defined as eGFR <15 ml/min/1.73m²; not on renal replacement therapy.
Compliance: the degree to which a patient takes their medication, expressed as a percentage of the time for which the patient is compliant.
Cost-effectiveness acceptability curve (CEAC): a summary of the uncertainty around a cost-effectiveness estimate. It is derived from probabilistic analysis and presents the probability of the intervention being cost-effective across a range of threshold values of cost-effectiveness (also known as maximum willingness to pay for a unit of benefit, decision-maker's willingness to pay).
Cost-effectiveness analysis: an economic analysis that calculates the additional/incremental costs required to realize a unit of additional benefits when comparing two interventions.
Deterministic analysis: results derived using the mean estimates of contributing parameters and reporting only mean estimates of results without allowing for parameter uncertainty.
Incremental cost-effectiveness ratio (ICER): a statistic produced by the cost-effectiveness analysis, equal to the ratio of the cost difference between two interventions and their effect difference.
Life-year (LY): a normal (calendar) year.
Renal replacement therapy (RRT): therapy used in severe chronic kidney disease, defined as undergoing long-term dialysis or being in receipt of a kidney transplant.
Major atherosclerotic event (MAE): non-fatal myocardial infarction or coronary death, non-haemorrhagic stroke, or arterial revascularisation procedure excluding dialysis access procedures.
Major vascular event (MVE): non-fatal myocardial infarction or any cardiac death, any stroke, or any arterial revascularisation procedure excluding dialysis access procedures.
Probabilistic analysis: analysis that takes into account uncertainty in contributing parameters
Quality-adjusted life-year (QALY): a measure of health, which combine survival (ie, life-years) and health-related quality of life. For example, 1 QALY is equivalent to one year in full health.
The Study of Heart and Renal Protection (SHARP): a 9,270-large multinational randomised controlled trial, which compared the use of simvastatin plus ezetimibe with placebo in participants with moderate-to-severe chronic kidney disease but no major coronary disease at recruitment.
Treatment effect: treatment effects in the model are presented with hazard ratios typically estimated in proportional hazards survival models.
Vascular death (VD): death from coronary heart disease or other cardiac disease, or from any type of stroke or other vascular causes.
The following example files are provided to help with the model use, see User guide for detailed file descriptions.
Non-vascular death probabilities: 2014 UK non-vascular death probabilities
The probabilistic sensitivity analysis is currently implemented for treatment effects, disease rirks and hospital care costs. The default coefficients from the risk equations are derived from the SHARP data using the bootstrap method.
Select characteristics for a single patient or import a text file with these characteristics for one or more patients.
Hazard ratios should correspond to full compliance with treatment for each of the outcomes below. The rates should be on the exponential scale.
The default values are based on SHARP data and UK 2014 prices.
The default values are UK quality of life (QoL) utilities estimates derived from the SHARP data.
Baseline QoL is the quality of life utility of a 60 year old female, non-smoker, with above secondary education, with BMI 25-30 kg/m², pre-RRT CKD and without diabetic nephropathy or vascular disease.
The default age and sex-specific non-vascular death probabilities were derived from the 2014 UK population data.
The default setting for the discount rates for both costs and health outcomes is 3.5% (National Institute for Health and Care Excellence, 2013)