| Literature DB >> 34897897 |
Lisa W M Leung1, Ryan J Imhoff2, Howard J Marshall3, Diana Frame2, Peter J Mallow4, Laura Goldstein5, Tom Wei5, Maria Velleca6, Hannah Taylor7, Mark M Gallagher1.
Abstract
INTRODUCTION: Research evidence has shown that catheter ablation is a safe and superior treatment for atrial fibrillation (AF) compared to medical therapy, but real-world practice has been slow to adopt an early interventional approach. This study aims to determine the cost effectiveness of catheter ablation compared to medical therapy from the perspective of the United Kingdom.Entities:
Keywords: antiarrhythmic drugs; atrial fibrillation; catheter ablation; cost-effectiveness; economic evaluation
Mesh:
Substances:
Year: 2021 PMID: 34897897 PMCID: PMC9300178 DOI: 10.1111/jce.15317
Source DB: PubMed Journal: J Cardiovasc Electrophysiol ISSN: 1045-3873 Impact factor: 2.942
Summary of cost inputs
| Parameter | Cost | Assumption/source |
|---|---|---|
|
| ||
| Oral anticoagulation (quarterly) | £127 | Assumes 74% are on NOAC products (Pradaxa, Eliquis, Xarelto, Lixiana), with the remainder on Warfarin (with monitoring) (BNF, |
| Long‐term follow‐up cost (quarterly) | £9 | Annual GP visit (PSSRU 2018 |
| AF recurrence episode cost | £200 | Cardiology consult and 24‐hr Holter monitoring (NHS National Tariff |
| Rate control drug cost (Quarterly) | £33 | Quarterly price of digoxin (BNF |
|
| ||
| Preoperative workup cost | £278 | Cardiology consult, INR test, TTE, cardiac CT scan (NHS National Tariff |
| Procedural costs (including catheters) | £6,632 | Average ordinary, inpatient, elective spell costs for HRGs EY30A, EY30B, EY31A and EY31B (NHS National Tariff |
|
| ||
| 3‐month post‐op visit | £395 | Cardiology consult, TTE, and 24‐hr Holter monitoring (NHS National Tariff |
| 12‐month post‐op visit | £200 | Cardiology consult and 24‐hr Holter monitoring (NHS National Tariff |
|
| ||
| Pretreatment workup costs | £171 | Cardiology consult and 12‐lead ECG (NHS National Tariff |
| Drug cost (quarterly) | £31 | Average price of Amiodarone, Sotalol, Flecainide, Bisoprolol, Diltiazem, and Verapamil (BNF |
| Follow‐up monitoring cost (quarterly) | £35 | Quarterly GP visit (PSSRU 2018 |
Note: See Table S4 for full listing of inputs.
Abbreviations: AF, atrial fibrillation; BNF, British National Formulary; GP, general practice; HF, heart failure; NHS, National Health System; NOAC, non‐vitamin K oral anticoagulation; PSSRU, Personal Social Services Research Unit.
Costs are presented in 2019 GBP. Costs published from previous years were converted to 2019 using the UK CPI.
Summary of clinical inputs
| Parameter | Medical therapy | Catheter ablation | Source/assumption |
|---|---|---|---|
|
| |||
| Starting age | 64 |
| |
| Maximum age | 100 | Assumption | |
| Gender (% male) | 65.5% |
| |
| Proportion with HF | 34.5% |
| |
|
| |||
| Ischemic stroke | 0.9% | 0.5% |
|
| Proportion disabling | 38.5% | 38.5% | Proportion of stroke patients with Modified Rankin Scale 4–5 |
| Major bleeding | 2.0% | 2.1% |
|
| Proportion disabling | 3.4% | 3.4% | Proportion of major bleed patients with GOS < 5 |
| Cardiac arrest | 0.3% | 0.2% |
|
| Proportion disabling | 16.0% | 16.0% | Proportion of cardiac arrest patients with CPC 1‐2 |
|
| |||
| 3 months (3‐month probability) | 1.0% | 1.3% |
|
| >3 months (annual probability) | 2.1% | 0.8% |
|
|
| |||
| First 7 years | 3.6% | 2.4% |
|
| Subsequent years | Dependent on age and gender | Assumed no differences between CA and MT for AF | |
|
| |||
| OAC Use | |||
| First 3 months | 83.7% | 100.0% |
|
| Months 4–12 | 83.7% | 83.6% |
|
| Subsequent months | 83.7% | 81.9% |
|
| % on NOAC (vs. Warfarin) | 74.0% |
| |
Note: See Table S3 for full listing of inputs.
Abbreviations: AF, atrial fibrillation; CA, catheter ablation; CPC, cognitive performance capacity; GOS, Glasgow Outcome Scale; HF, heart failure; NOAC, non‐vitamin K oral anti‐coagulation; OAC, oral anticoagulation.
Figure 1Model Structure for the Treatment of Atrial Fibrillation & Treatment Protocol for AF Recurrence. The structure and flow of patients through the model are depicted in the diagrams above. Figure 1A shows the general flow of patients through the various health states in the model, while Figure 1B depicts the protocol for patients that experience recurrence in the model. 1) All patients will begin in the “Treatment” state, incurring expenses related to the both the pretreatment work‐up and treatment itself. 2) Patients who undergo ablation are assumed to have initial procedural success. 3) In the “Normal Sinus Rhythm” and “AF Recurrence” health states, patients incur costs related to follow‐up/maintenance care. 4) All patients in the ablation arm that restore normal sinus rhythm from AF recurrence do so because of 1) starting AADs or 2) receiving a repeat ablation. In the AAD arm, it is assumed that all patients do so because of changing AADs. 5) In the catheter ablation arm, a subset of patients with AF recurrence will receive a single repeat ablation procedure. 6) After attempting 4 treatments, as outlined in the Recurrence Treatment Protocol, patients will cease rhythm control efforts, going on rate control drugs for remainder of model. 7) Patients may experience CV events (ischemic stroke, major bleeding event, or cardiac arrest) during the model time horizon. After a CV event, patients can recover without disability and continue rhythm control efforts moving to either the normal sinus rhythm or AF recurrence states, become disabled and move into a post‐AE state, or die. AAD: Antiarrhythmic drug; AF: Atrial fibrillation; CA: Catheter ablation; MT: Medical therapy
Figure 2Estimated Freedom from AF Recurrence from Meta‐Analysis (Model Inputs/Transition Probabilities). A systematic literature review and meta‐analysis was performed to estimate the probability of a patient experiencing recurrence at 12‐, 48‐, and 144‐months after beginning treatment. These estimates were used, assuming an exponential decay over time, to develop the model inputs for the chance of a patient having a recurrence over time. The figure above depicts the probabilities over time, interpolated from the estimates at the three time points.CA: Catheter ablation; MT: Medical therapy
Base case results
| Strategy | Cost | ∆ Cost | QALYs | ∆ QALYs | ICER ($/QALY) |
|---|---|---|---|---|---|
| Medical therapy | £15 645 | 7.83 | |||
| Catheter ablation | £24 387 |
| 8.85 |
|
|
Base case model—CV events
| Outcome | Medical therapy | Catheter ablation | Difference | Percent change |
|---|---|---|---|---|
| Total CV events | 0.78 | 0.74 | −0.04 | −6% |
| HF hospitalization | 0.28 | 0.23 | −0.06 | −20% |
| Acute ischemic stroke | 0.13 | 0.12 | −0.01 | −11% |
| Cardiac arrest | 0.04 | 0.04 | −0.01 | −14% |
| Major bleeding event | 0.33 | 0.36 | 0.03 | 10% |
Figure 3Scatterplot of ICER values. To test uncertainty in the model input values, a Monte Carlo probabilistic sensitivity analysis was conducted – running the analysis 10,000 times with different sets of model inputs. The ICER (incremental cost per QALY gained) from each of the 10,000 simulations are shown in the scatter plot above. The willingness‐to‐pay (WTP) line shows the threshold for which catheter ablation is considered to be cost effective – with each data point that is below the line representing a simulation that was cost‐effective. The analysis found ablation to be cost‐effective in 99% of the simulations that were run. ICER: Incremental cost‐effectiveness ratio; MT: Medical therapy; QALY: Quality‐adjusted life year; WTP: Willingness to pay