| Literature DB >> 35793364 |
Ali Darvishi1,2, Parham Sadeghipour3, Alireza Darrudi2, Rajabali Daroudi2.
Abstract
Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia (Calkins H, et al. 2012). There are various methods to treat AF of which Ablation is one of the most effective. We aimed to assess the cost-utility of Cryoballoon ablation (CBA) compared to Radiofrequency ablation (RFA) to treat patients with paroxysmal AF in Iran. A cost-utility analysis was done using a decision-analytic model based on a lifetime Markov structure which was drawn considering the nature of interventions and the natural progress of the disease. Costs data were extracted from medical records of 47 patients of Shahid Rajaie Cardiovascular Medical Center in Tehran in 2019. Parameters and variables such as transition probabilities, risks related to side effects, mortality rates, and utility values were extracted from the available evidence. Deterministic and probabilistic sensitivity analysis was also done. TreeAge pro-2020 software was used in all stages of analysis. In the base case analysis, the CBA strategy was associated with higher cost and effectiveness than RFA, and the incremental cost-effectiveness ratio was $11,223 per Quality-adjusted life year (QALY), which compared to Iran's GDP per capita as Willingness to pay threshold, CBA was not cost-effective. On the other hand, considering twice the GDP per capita as a threshold, CBA was cost-effective. Probabilistic sensitivity analysis confirmed the findings of base case analysis, showed that RFA was cost-effective and the probability of cost-effectiveness was 59%. One-way sensitivity analysis showed that the results of the study have the highest sensitivity to changes in the RFA cost variable. Results of sensitivity analysis showed that the cost-effectiveness results were not robust and are sensitive to changes in variables changes. Primary results showed that CBA compared to RFA is not cost-effective in the treatment of AF considering one GDP per capita. But the sensitivity analysis results showed considerable sensitivity to changes of the ablation costs variable.Entities:
Mesh:
Year: 2022 PMID: 35793364 PMCID: PMC9258804 DOI: 10.1371/journal.pone.0270642
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Markov model for CUA of CBA vs RFA.
Model inputs and parameters.
| Statistic variable | Base case | SD/(CI) | Distribution | Source |
|---|---|---|---|---|
| Annual discount rate (Costs and QALYs) | 0.05 | (0–0.1) | Beta | |
| Time Horizon(year) | Life Time | |||
|
| ||||
| AF recurrence after ablation, first year | 0.269 | ±0.0538 | Beta | [ |
| AF recurrence after ablation, >first year | 0.0938 | ±0.0235 | Beta | [ |
| Re-intervention with RFA | 0.5516 | ±0.11032 | Beta | [ |
| Re-intervention with CBA | 0..0951 | ±0.01902 | Beta | [ |
|
| ||||
| pericardial effusion or cardiac tamponade | 0.0084 | [ | ||
| permanent phrenic nerve palsy | 0.032 | [ | ||
| vascular complications | 0.0156 | [ | ||
| Stroke rate per year | 0.05 | [ | ||
|
| ||||
| AF recurrence after ablation, first year | 0.3326 | ±0.0665 | [ | |
| AF recurrence after ablation, >first year | 0.1055 | ±0.0264 | [ | |
| Re-intervention with RFA | 0.5685 | ±0.1137 | [ | |
| Re-intervention with CBA | 0.0587 | ±0.01174 | [ | |
|
| ||||
| pericardial effusion or cardiac tamponade | 0.0231 | [ | ||
| permanent phrenic nerve palsy | 0.0005 | [ | ||
| vascular complications | 0.023 | [ | ||
| Stroke per year | 0.05 | [ | ||
|
| ||||
| Annually probability of death of 50 yrs Normal Population (First year) | 0.0037 | Iran Life Table [ | ||
| Probability of operative death | 0.000487 | [ | ||
| Stroke-specific mortality | 0.3536 | [ | ||
|
| ||||
| AF average annual costs | 372.81 | ±55.92 | Gamma | Our Study |
| NSR average annual costs | 273.32 | ±40.99 | Gamma | Our Study |
| CBA | 7751.88 | ±516.72 | Gamma | Our Study |
| RFA | 5027.10 | ±1530.66 | Gamma | Our Study |
| Stroke costs, first year | 1804.49 | ±180.44 | Gamma | Our Study |
| Post-stroke costs, >first year | 541.34 | ±54.13 | Gamma | Our Study |
| pericardial effusion or cardiac tamponade | 1060.19 | ±106.01 | Gamma | [ |
| permanent phrenic nerve palsy | 11.09 | ±106.01 | [ | |
| vascular complications | 60.23 | [ | ||
|
| ||||
| NSR | 0.8 | ±0.00577 | Beta | [ |
| AF | 0.6 | ±0.0721 | Beta | [ |
| Post-stroke | 0.46 | ±0.0577 | Beta | [ |
| Disutility due to complications | -0.0314 | Beta | [ | |
| Disutility due to stroke, first year | -0.296 | Beta | [ |
* A complete table of Probability of death at different ages is given as S1 Table.
Results of base case cost-effectiveness analysis.
| Strategy | RFA | CBA |
|---|---|---|
|
| 12,005.20 | 14,198.36 |
|
| 8.273 | 8.469 |
|
| - | 2,193.16 |
|
| - | 0.195 |
|
| - | 11,223.85 |
Fig 2Cost-effectiveness analysis of CBA vs RFA.
Fig 3One way sensitivity analysis using Tornado diagram.
Fig 4One way sensitivity analysis (RFA cost).
Fig 5Two way sensitivity analysis (RFA cost and CBA cost).
Fig 6Incremental cost-effectiveness scatter plot for PSA.
Report of the cost-effectiveness probability in each cost-effectiveness plane quadrants.
| Component | Quadrant | Incre Eff(IE) | Incre Cost(IC) | Incre CE | Frequency | Proportion (%) |
|---|---|---|---|---|---|---|
|
| IV | IE>0 | IC<0 | Superior | 1,388 | 0.1388 |
|
| I | IE>0 | IC>0 | ICER<3.0E8 | 2,772 | 0.2772 |
|
| III | IE<0 | IC<0 | ICER>3.0E8 | 35 | 0.0035 |
|
| I | IE>0 | IC>0 | ICER>3.0E8 | 3,103 | 0.3103 |
|
| III | IE<0 | IC<0 | ICER<3.0E8 | 41 | 0.0041 |
|
| II | IE<0 | IC>0 | Inferior | 2,661 | 0.2661 |
|
| origin | IE = 0 | IC = 0 | 0/0 | 0 | 0 |
*Incremental Effectiveness
**Incremental Cost
***Incremental Cost Effectiveness