Abstract
Background Meibomian gland dysfunction (MGD) has a significant effect on patients’ quality of life. Despite the numerous treatment options, it is still difficult to obtain complete relief of signs and symptoms. Blephasteam is an eyelid-warming device that is easy to use and standardized for treatment of MGD. Objective This study aimed to evaluate of the effect of Blephasteam on MGD compared with the traditional warm compresses. Patients and methods This is a prospective comparative interventional study that included 40 eyes of 20 patients with MGD. Patients were subdivided into two groups: in group I, warm compresses were applied to the eyelids twice daily for 20–30 min for 2 weeks, whereas in group II, the patients used the Blephasteam device three sessions per week for 2 weeks. Both groups received treatment by systemic tetracycline, topical antibiotic and steroid, and preservative-free artificial tears eye drops for 2 weeks. The patients were assessed before treatment and after 2 weeks, 1 month, and 3 months using the Standard Patient Evaluation of dry Eye Disease questionnaire for dry eye, breakup time test (invasive and noninvasive; IBUT and NIBUT), and the shape of the lipid layer of the tear film by a tearscope. Results Both groups showed statistically significant improvement regarding the dry eye symptoms, IBUT and NIBUT, and the lipid layer interferometry. However, the follow-up visits showed statistically significant better results in group II than in group I for the Standard Patient Evaluation of dry Eye Disease questionnaire (P=0.044, 0.001, and 0.001, respectively). In addition, the IBUT was statistically significantly better in group II than in group I during the follow-up (P=0.014, 0.007, and 0.002, respectively) as well as the NIBUT (P=0.043, P<0.001, and P<0.001, respectively). There was no statistically significant difference in interferometry between the two groups during the follow-up. Conclusions Both traditional warm compress and Blephasteam were effective in MGD treatment, but Blephasteam was more effective.
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