Tenecteplase in managing acute ischemic stroke: a long-term cost-utility analysis in Iran.


Journal

Expert review of pharmacoeconomics & outcomes research
ISSN: 1744-8379
Titre abrégé: Expert Rev Pharmacoecon Outcomes Res
Pays: England
ID NLM: 101132257

Informations de publication

Date de publication:
Jan 2023
Historique:
pubmed: 25 11 2022
medline: 17 1 2023
entrez: 24 11 2022
Statut: ppublish

Résumé

The advantage of tenecteplase (TNK) over alteplase (ALT) in managing acute ischemic stroke (AIS) has been reported, but the cost-effectiveness of these two strategies has not received as much attention. The objective of this study was to compare TNK and ALT for the management of AIS patients in Iran in terms of cost-effectiveness. This study was carried out from the payer's perspective in Iran, with a lifetime horizon. A full economic evaluation model was designed as a decision tree and a Markov model. After defining different Markov states, each health state was assigned a utility value, and quality-adjusted life year (QALY) was estimated using that value. The incremental cost-effectiveness ratio (ICER) was ultimately used for evaluating the comparative cost-effectiveness. Both deterministic and probabilistic sensitivity analyses were carried out. Compared to ALT, TNK can save approximately 4333.81 USD, and is able to increase one unit of QALY while saving approximately 17,450.29 USD. So, Base-case results showed that TNK strongly dominates ALT. Moreover, the base case results were strongly confirmed by deterministic and probabilistic sensitivity analysis. Base-case and sensitivity analysis showed that TNK is the dominant strategy compared to ALT for the management of AIS patients.

Sections du résumé

BACKGROUND & AIMS UNASSIGNED
The advantage of tenecteplase (TNK) over alteplase (ALT) in managing acute ischemic stroke (AIS) has been reported, but the cost-effectiveness of these two strategies has not received as much attention. The objective of this study was to compare TNK and ALT for the management of AIS patients in Iran in terms of cost-effectiveness.
METHODS UNASSIGNED
This study was carried out from the payer's perspective in Iran, with a lifetime horizon. A full economic evaluation model was designed as a decision tree and a Markov model. After defining different Markov states, each health state was assigned a utility value, and quality-adjusted life year (QALY) was estimated using that value. The incremental cost-effectiveness ratio (ICER) was ultimately used for evaluating the comparative cost-effectiveness. Both deterministic and probabilistic sensitivity analyses were carried out.
RESULTS UNASSIGNED
Compared to ALT, TNK can save approximately 4333.81 USD, and is able to increase one unit of QALY while saving approximately 17,450.29 USD. So, Base-case results showed that TNK strongly dominates ALT. Moreover, the base case results were strongly confirmed by deterministic and probabilistic sensitivity analysis.
CONCLUSIONS UNASSIGNED
Base-case and sensitivity analysis showed that TNK is the dominant strategy compared to ALT for the management of AIS patients.

Identifiants

pubmed: 36420792
doi: 10.1080/14737167.2023.2152008
doi:

Substances chimiques

Tenecteplase WGD229O42W
Tissue Plasminogen Activator EC 3.4.21.68

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

123-133

Auteurs

Kosar Hajian (K)

Department of Pharmacoeconomics and Pharmaceutical Management, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Chronic Diseases Research Center, Endocrinology and Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Ramin Abdi Dezfouli (R)

Department of Pharmacoeconomics and Pharmaceutical Management, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Chronic Diseases Research Center, Endocrinology and Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Ali Darvishi (A)

Chronic Diseases Research Center, Endocrinology and Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences (TUMS), Tehran, Iran.

Ramin Radmanesh (R)

Department of Pharmacoeconomics and Pharmaceutical Management, Faculty of Pharmacy, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.

Ramin Heshmat (R)

Chronic Diseases Research Center, Endocrinology and Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

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Classifications MeSH