Association between the levels of prostaglandin E2 in tears and severity of dry eye

AIM: To investigate the relationship between the levels of prostaglandin E2 (PGE2) in tears and dry eye disease severity based on both clinical symptoms and signs. METHODS: Tear samples were collected from 36 non-Sjögren syndrome dry eye patients (10 males and 26 females, mean age 50.11±11.17y). All participants completed the Ocular Surface Disease Index (OSDI) questionnaire and underwent a detailed ophthalmic examination including, tear film breakup time (TBUT), ocular surface fluorescein staining, Schirmer I test, and meibomian gland assessment. The level of PGE2 in tears was measured using enzyme-linked immunosorbent assay (ELISA). The independent associations between tear PGE2 levels and other variables including demographics, OSDI scores, TBUT, Schirmer scores, ocular surface staining scores, and stage of meibomian gland dysfunction (MGD) were evaluated using linear regression analysis. RESULTS: The mean PGE2 level in tears of dry eye patients was 537.85±234.02 pg/mL. The tear PGE2 levels significantly positively correlated with OSDI scores (R=0.608, P<0.001), however, they did not significantly associate with TBUT (R=0.153, P=0.373), Schirmer scores (R=-0.098, P=0.570), ocular surface staining scores (R=0.282, P=0.095), and stage of MGD (R=-0.107, P=0.535). Male sex was significantly negatively correlated with tear PGE2 levels. CONCLUSION: The levels of PGE2 in tears are positively correlated with dry eye symptoms. However, no significant association was found between tear PGE2 levels and the results of other common dry eye diagnostic tests.     

Assessing costs of a hypertension management program: An application of the HEARTS costing tool in a program planning workshop in Thailand

The HEARTS technical package, a part of the Global Hearts Initiative to improve cardiovascular health globally, is a strategic approach for cardiovascular disease prevention and control at the primary care level. To support the evaluation of costs associated with HEARTS program components, a costing tool was developed to evaluate the incremental cost of program implementation. This report documents an application of the HEARTS costing tool during a costing workshop prior to the initiation of a HEARTS pilot program in Thailand's Phothong District, 2019‐2020. During the workshop, a mock exercise was conducted to estimate the expected costs of the pilot study. The workshop application of the tool underscored its applicability to the HEARTS program planning process by identifying cost drivers associated with individual program elements. It further illustrated that by supporting disaggregation of costs into fixed and variable categories, the tool can inform the scalability of pilot projects to larger populations. Lessons learned during the initial development and application of the costing tool can inform future HEARTS evaluation efforts.