論文

査読有り 国際誌
2020年4月7日

Comparing the Japanese Version of the Ocular Surface Disease Index and Dry Eye-Related Quality-of-Life Score for Dry Eye Symptom Assessment.

Diagnostics (Basel, Switzerland)
  • Takenori Inomata
  • Masahiro Nakamura
  • Masao Iwagami
  • Akie Midorikawa-Inomata
  • Yuichi Okumura
  • Keiichi Fujimoto
  • Nanami Iwata
  • Atsuko Eguchi
  • Hurramhon Shokirova
  • Maria Miura
  • Kenta Fujio
  • Ken Nagino
  • Shuko Nojiri
  • Akira Murakami
  • 全て表示

10
4
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/diagnostics10040203

The aim of this study was to compare patient-reported symptoms of dry eye disease (DED) between the Japanese version of the Ocular Surface Disease Index (J-OSDI) and the Dry Eye-Related Quality-of-Life Score (DEQS). A total of 169 participants were enrolled between September 2017 and May 2018. Patients were administered the J-OSDI and DEQS questionnaires at their first (baseline) and follow-up visits to evaluate DED-related symptoms. The correlations between the J-OSDI total score and DEQS (Frequency and Degree) scores were evaluated using Pearson's correlation coefficient, and their clinical differences were assessed using the Bland-Altman analysis. At the baseline visit, the J-OSDI score and DEQS (Frequency and Degree) were significantly correlated (r = 0.855, r = 0.897, respectively). Moreover, a significant correlation was found between the J-OSDI score and DEQS (Frequency and Degree) at the follow-up visit (r = 0.852, r = 0.888, respectively). The Bland-Altman analysis revealed a difference (bias) of 4.18 units at the baseline and 4.08 units at the follow-up between the scores of the two questionnaires. The J-OSDI and DEQS were significantly correlated with negligible score differences, suggesting that the J-OSDI can be reliably used for Japanese patients, allowing for cross-country comparisons.

リンク情報
DOI
https://doi.org/10.3390/diagnostics10040203
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/32272589
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235869
ID情報
  • DOI : 10.3390/diagnostics10040203
  • PubMed ID : 32272589
  • PubMed Central 記事ID : PMC7235869

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