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Advanced dry eye screening for visual display terminal workers using functional visual acuity measurement: the Moriguchi study
  1. Minako Kaido1,
  2. Motoko Kawashima1,
  3. Norihiko Yokoi2,
  4. Masaki Fukui1,
  5. Yoshiyuki Ichihashi1,
  6. Hiroaki Kato2,
  7. Motoko Yamatsuji3,
  8. Mitsuko Nishida4,
  9. Kazumi Fukagawa5,
  10. Shigeru Kinoshita2,
  11. Kazuo Tsubota1
  1. 1Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
  2. 2Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan
  3. 3Yamatsuji Clinic, Osaka, Japan
  4. 4Health Care Section, IT Products Business Division, AVC Networks Company, Panasonic Corporation, Osaka, Japan
  5. 5Ryogoku Eye Clinic, Tokyo, Japan
  1. Correspondence to Dr Minako Kaido, Department of Ophthalmology, Keio University School of Medicine, Shinanomachi 35, Shinjuku-ku, Tokyo 160-8582, Japan; fwiw1193{at}mb.infoweb.ne.jp

Abstract

Purpose To evaluate the validity of a dry eye (DE) screening method in visual display terminal (VDT) workers using functional visual acuity (VA) measurement combined with a symptoms questionnaire, and to make recommendations regarding practical use of the screening.

Methods This prospective cross-sectional study included 369 young and middle-age office workers, who use VDTs. Subjects completed two types of DE questionnaires and underwent DE testing and functional VA measurement. Subjects were assigned to DE and non-DE groups. Sensitivity and specificity of the DE prediction value were assessed. According to the probability distribution of DE and non-DE calculated by the discriminant analysis formula, we classified subjects into three categories based on the most appropriate cut-off levels. Positive predictive value (PPV) and negative predictive value (NPV) of the DE prediction value were also assessed.

Results Of 369 subjects, 218 and 151 subjects were assigned to the DE and non-DE groups, respectively. Sensitivity and specificity were 93.1% and 43.7%, respectively. Based on the probability prediction, the cut-off levels were defined as probability prediction ≥85%, 45%≤ probability prediction <85% and probability prediction <45%. Subjects with a probability prediction ≥85% were defined positive (N=130), while those with values <45% were defined as negative (N=73). The PPV and NPV were 83.8% and 80.8%, respectively.

Conclusions Acceptable PPV and NPV were obtained by setting three discriminate categories. This improved version of the DE screening method may be acceptable for practical use in VDT workers.

  • Tears
  • Epidemiology
  • Diagnostic tests/Investigation
  • Vision

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