Axial length elongation profiles from 3 to 6 years in an Asian paediatric population: the Growing Up in Singapore Towards Healthy Outcomes birth cohort study (GUSTO).

AIMS: To determine axial length (AL) elongation profiles in children aged 3-6 years in an Asian population. METHODS: Eligible subjects were recruited from the Growing Up in Singapore Towards Healthy Outcomes birth cohort. AL measurement was performed using IOLMaster (Carl Zeiss Meditec, Jena, Germany) at 3 and 6 years. Anthropometric measurements at birth, cycloplegic refraction at 3 and 6 years, questionnaires on the children's behavioural habits at 2 years and parental spherical equivalent refraction were performed. Multivariable linear regression model with generalised estimating equation was performed to determine factors associated with AL elongation. RESULTS: 273 eyes of 194 children were included. The mean AL increased from 21.72±0.59 mm at 3 years to 22.52±0.66 mm at 6 years (p<0.001). Myopic eyes at 6 years had greater AL elongation (1.02±0.34 mm) compared with emmetropic eyes (0.85±0.25 mm, p=0.008) and hyperopic eyes (0.74±0.16 mm, p<0.001). The 95th percentile limit of AL elongation was 1.59 mm in myopes, 1.34 mm in emmetropes and 1.00 mm in hyperopes. Greater birth weight (per 100 g, ß=0.010, p=0.02) was significantly associated with greater AL elongation from 3 to 6 years, while parental and other behavioural factors assessed at 2 years were not (all p≥0.08). CONCLUSION: In this preschool cohort, AL elongates at an average length of 0.80 mm from 3 to 6 years, with myopes demonstrating the greatest elongation. The differences in 95th percentile limits for AL elongation between myopes, emmetropes and hyperopes can be valuable information in identifying myopia development in preschool children.

Benchmarking large language models' performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard.

BACKGROUND: Large language models (LLMs) are garnering wide interest due to their human-like and contextually relevant responses. However, LLMs' accuracy across specific medical domains has yet been thoroughly evaluated. Myopia is a frequent topic which patients and parents commonly seek information online. Our study evaluated the performance of three LLMs namely ChatGPT-3.5, ChatGPT-4.0, and Google Bard, in delivering accurate responses to common myopia-related queries. METHODS: We curated thirty-one commonly asked myopia care-related questions, which were categorised into six domains-pathogenesis, risk factors, clinical presentation, diagnosis, treatment and prevention, and prognosis. Each question was posed to the LLMs, and their responses were independently graded by three consultant-level paediatric ophthalmologists on a three-point accuracy scale (poor, borderline, good). A majority consensus approach was used to determine the final rating for each response. 'Good' rated responses were further evaluated for comprehensiveness on a five-point scale. Conversely, 'poor' rated responses were further prompted for self-correction and then re-evaluated for accuracy. FINDINGS: ChatGPT-4.0 demonstrated superior accuracy, with 80.6% of responses rated as 'good', compared to 61.3% in ChatGPT-3.5 and 54.8% in Google Bard (Pearson's chi-squared test, all p ≤ 0.009). All three LLM-Chatbots showed high mean comprehensiveness scores (Google Bard: 4.35; ChatGPT-4.0: 4.23; ChatGPT-3.5: 4.11, out of a maximum score of 5). All LLM-Chatbots also demonstrated substantial self-correction capabilities: 66.7% (2 in 3) of ChatGPT-4.0's, 40% (2 in 5) of ChatGPT-3.5's, and 60% (3 in 5) of Google Bard's responses improved after self-correction. The LLM-Chatbots performed consistently across domains, except for 'treatment and prevention'. However, ChatGPT-4.0 still performed superiorly in this domain, receiving 70% 'good' ratings, compared to 40% in ChatGPT-3.5 and 45% in Google Bard (Pearson's chi-squared test, all p ≤ 0.001). INTERPRETATION: Our findings underscore the potential of LLMs, particularly ChatGPT-4.0, for delivering accurate and comprehensive responses to myopia-related queries. Continuous strategies and evaluations to improve LLMs' accuracy remain crucial. FUNDING: Dr Yih-Chung Tham was supported by the National Medical Research Council of Singapore (NMRC/MOH/HCSAINV21nov-0001).

The Effect of Patient Education and Telemedicine Reminders on Adherence to Eye Drops for Glaucoma.

PURPOSE: To determine the improvement in patient adherence to topical ocular hypotensive therapy by introducing a personalized illustrated medication reference chart and telereminder. DESIGN: Prospective randomized controlled clinical trial. PARTICIPANTS: Fifty-nine patients with glaucoma who were using at least 3 or more eye drops were recruited from the ophthalmology clinic at the National University Hospital of Singapore. METHODS: Participants were randomized into 3 groups: control, reference chart only, and reference chart with telereminder. They completed a survey on demographics, barriers to glaucoma medication adherence, and self-adherence (measured by the Morisky adherence scale) before and 6 weeks after intervention. Logistic regression analysis was performed on the barriers that contribute to nonadherence and paired t tests were conducted for the preimplementation and postimplementation effects of intervention on adherence score. MAIN OUTCOME MEASURES: Changes in mean adherence score based on the Morisky adherence scale before and after intervention in participants from all 3 groups. RESULTS: In our study, 71% of participants who were nonadherent to medications had multiple barriers to adherence, with lack of self-efficacy and forgetfulness being the most common factors. Only the reference chart with telereminder group showed a statistically significant increase in mean adherence score, from 7.18 to 7.69 (P = 0.047). CONCLUSIONS: Adherence to medication in chronic diseases like glaucoma is an important healthcare issue to address. Most of these patients have poor adherence because of multiple factors, and hence interventions aimed at improving adherence should be multifaceted to target these barriers.

Surgical treatment outcome of medically refractory huge giant papillary conjunctivitis.

PURPOSE: To compare the surgical outcome of excision of giant papillae with and without amniotic membrane in a patient with bilateral medically refractory giant papillary conjunctivitis (GPC). OBSERVATIONS: 27-year-old Chinese lady presented with bilateral itchy eyes, discomfort and fullness of upper lids for past two years. She was a long-term contact lens user but stopped completely 2 years ago. Not a known atopic, she had unusually large giant papillae involving both upper tarsal conjunctiva. She had used topical olopatadine(0.1%), intermittent dexamethasone(0.1%) and also underwent intralesional injection of Triamcinolone (40mg/ml) twice on each side without any improvement in past two years. We decided to excise the papillae with amniotic membrane transplantation (AMT) in left eye and only excision in the right eye. The results were compared after 2 years. Giant papillae were excised in both eyes under regional anesthesia on separate occasions. The left eye received AMT in addition to excision. A symblepharon ring was applied and left in place for two weeks in both eyes. She was treated with topical Prednisolone acetate (1%) and Levofloxacin 4 times a day for a month. Postoperative period was unremarkable and she recovered well. In 2 years follow-up, the upper tarsal conjunctiva was smooth in both eyes and there was no evidence of any recurrences. CONCLUSION AND IMPORTANCE: Excision of giant papillae is a treatment option for cases with refractory GPC. Additional AMT after excision may not be necessary as there was no difference in surgical outcome.