| Autor: |
Hiroshi Kumanomidou, Kengo Kanai, Aiko Oka, Takenori Haruna, Yuji Hirata, Sei-ichiro Makihara, Takaya Higaki, Maki Akamatsu, Yoshitaka Okamoto, Shunya Ikeda, Mitsuhiro Okano |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Allergology International, Vol 71, Iss 2, Pp 207-213 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1323-8930 |
| DOI: |
10.1016/j.alit.2021.11.002 |
| Popis: |
Background: The total naso-ocular symptom score (TSS) is widely used as an endpoint to evaluate the severity of seasonal allergic rhinitis. However, it is not a generic preference-based measure. We sought to develop an algorithm for mapping between the TSS and health utility in Japanese cedar pollinosis (JCP). We also performed a cost-utility analysis of sublingual immunotherapy (SLIT) for JCP by using this algorithm. Methods: Patients with JCP filled out the TSS questionnaire and EQ-5D-5L simultaneously during the pollen season in 2019 and in 2020. We estimated a direct utility mapping model by regressing responses to individual TSS questions directly onto utility. The incremental cost-effectiveness ratio (ICER) of active SLIT to a placebo was determined by examining the drug expense and the estimated quality-adjusted life year (QALY) using a dataset from a double-blind placebo-controlled clinical trial. Results: A total of 238 records were included for analysis. The estimated utility decreased with increasing severity of rhinitis. Patients with comorbid asthma showed lower utility. A negative and significant correlation was seen between the TSS and utility in both 2019 and 2020. The estimated equations were: Y(utility) = −0.0161∗X(TSS) + 1.005 in non-asthmatic JCP patients. The ICER of active SLIT to the placebo was estimated to be 4,049,720 and 6,011,218 JPY/QALY in the first and second year, respectively. Conclusions: It is possible to reasonably predict utility from the total naso-ocular symptom score by using regression models. In the estimated algorithm, pre-seasonal SLIT for JCP is cost-effective. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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