Direct and Indirect Costs of Infectious Conjunctivitis in a Commercially Insured Population in the United States

Cost-Effectiveness of Pediatric Conjunctivitis Management and Return to Childcare and School Strategies: A Comparative Study

BACKGROUND

Infectious conjunctivitis affects one in eight children annually, resulting in high ophthalmic antibiotic prescribing and absenteeism from childcare and school. We aimed to quantify the cost-effectiveness and annual savings of three evidence-based approaches to conjunctivitis management and return to childcare and school compared to usual care.

METHODS

Using a decision analytic model from a societal perspective over a one-year time horizon, we conducted a cost-effectiveness analysis of three management strategies for children aged 6 months-17 years with non-severe conjunctivitis compared to usual care in the United States. Strategies accounted for rate of transmission. Strategies included 1) refraining from prescribing ophthalmic antibiotics for non-severe conjunctivitis, 2) allowing children without systemic symptoms to attend childcare and school, 3) and the combined approach of refraining from prescribing ophthalmic antibiotics and allowing children without systemic symptoms to attend childcare and school.

RESULTS

The estimated annual expenditure for pediatric conjunctivitis was $1.95 billion. Usual care was the most expensive ($212.73/episode), followed by refraining from ophthalmic antibiotic prescribing ($199.92) and allowing children without systemic symptoms to attend childcare and school ($140.18). The combined approach was the least costly ($127.38). Disutility was similar between approaches (quality adjusted life days 0.271 v 0.274). Refraining from antibiotic prescribing and the combination approach were dominant compared to usual care. The combined approach resulted in an estimated $783 million annual savings and 1.6 million ophthalmic antibiotic courses averted.

CONCLUSIONS

Conjunctivitis poses an economic burden which could be reduced by refraining from ophthalmic antibiotic use and allowing children without systemic symptoms to remain at school or childcare.

Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study

BACKGROUND

Previous work suggests that Google searches could be useful in identifying conjunctivitis epidemics. Content-based assessment of social media content may provide additional value in serving as early indicators of conjunctivitis and other systemic infectious diseases.

OBJECTIVE

We investigated whether large language models, specifically GPT-3.5 and GPT-4 (OpenAI), can provide probabilistic assessments of whether social media posts about conjunctivitis could indicate a regional outbreak.

METHODS

A total of 12,194 conjunctivitis-related tweets were obtained using a targeted Boolean search in multiple languages from India, Guam (United States), Martinique (France), the Philippines, American Samoa (United States), Fiji, Costa Rica, Haiti, and the Bahamas, covering the time frame from January 1, 2012, to March 13, 2023. By providing these tweets via prompts to GPT-3.5 and GPT-4, we obtained probabilistic assessments that were validated by 2 human raters. We then calculated Pearson correlations of these time series with tweet volume and the occurrence of known outbreaks in these 9 locations, with time series bootstrap used to compute CIs.

RESULTS

Probabilistic assessments derived from GPT-3.5 showed correlations of 0.60 (95% CI 0.47-0.70) and 0.53 (95% CI 0.40-0.65) with the 2 human raters, with higher results for GPT-4. The weekly averages of GPT-3.5 probabilities showed substantial correlations with weekly tweet volume for 44% (4/9) of the countries, with correlations ranging from 0.10 (95% CI 0.0-0.29) to 0.53 (95% CI 0.39-0.89), with larger correlations for GPT-4. More modest correlations were found for correlation with known epidemics, with substantial correlation only in American Samoa (0.40, 95% CI 0.16-0.81).

CONCLUSIONS

These findings suggest that GPT prompting can efficiently assess the content of social media posts and indicate possible disease outbreaks to a degree of accuracy comparable to that of humans. Furthermore, we found that automated content analysis of tweets is related to tweet volume for conjunctivitis-related posts in some locations and to the occurrence of actual epidemics. Future work may improve the sensitivity and specificity of these methods for disease outbreak detection.

The impact of the COVID-19 pandemic on pediatric acute conjunctivitis disease trends

The COVID-19 pandemic notably influenced the transmission of infectious diseases across various age groups. In this study, we assessed its impact on pediatric acute conjunctivitis trends in southern Israel. We analyzed acute conjunctivitis diagnoses from 2017 to 2022, categorizing them into pre-lockdown, lockdown, and post-lockdown intervals. A control group of non-infectious dermatologic conditions was included. Time-series analysis, adjusted for seasonality, was employed. Pre-lockdown data indicated steady conjunctivitis diagnoses, primarily in winter. Post-lockdown interval exhibited an added summer peak before the regular winter surge. The lockdown saw a 56% decline in diagnoses, most pronounced in younger ages. Post-lockdown observed a 7% overall drop with age-specific variations. The acute conjunctivitis IRR was 0.44 (95% CI 0.39-0.49) during lockdowns and 0.93 (95% CI 0.86-1.02) post-lockdowns. Control group IRRs were 0.84 (95% CI 0.78-0.89) and 0.90 (95% CI 0.84-0.96), respectively, with the 0-5 age range demonstrating significant disparities. Pediatric acute conjunctivitis in southern Israel decreased significantly during the pandemic. Post-lockdown patterns varied by age group. An unusual summer peak in cases was observed post-lockdown; this peak may be influenced by a combination of altered behaviors in the summer and possibly increased susceptibility to infection.

A systematic review and meta-analysis on the efficacy of topical povidone iodine in adenoviral conjunctivitis

PURPOSE

To evaluate if topical povidone iodine (alone (PI) or combined with dexamethasone (PI-DXM)) is superior to placebo for treating adenoviral conjunctivitis (AC).

METHODS

A systematic review was performed according to Preferred Reporting Items for the Systematic Review and Meta-Analyses (PRISMA) Statement. An electronic search was made on PubMed, Embase and Cochrane Library. Randomized control studies that compared PI or PI-DXM with placebo were included. At least three researchers were involved in all phases. Primary outcomes were AC duration and the number of clinical resolutions during the first week. Secondary outcomes were conjunctival redness and serous discharge one week after starting treatment and the rate of AC complications.

RESULTS

Only five studies met the inclusion criteria. PI-DXM reduced the duration of the disease by 2.4 days (IC95% 4.09-0.71), however this result was based only in one study. PI and PI-DXM did not modify the probability of clinical resolution during the first week; relative risk (RR) = 1.77 (IC95% 0.63-4.96) and 1.70 (IC95% 0.67-4.36). The impact of PI on the probability of pseudomembranes could not be estimated. PI-DXM did not influence the risk of developing subepithelial infiltrates RR = 0.73 (IC95% 0.02-33.38).

CONCLUSIONS

At this time there is great uncertainty about the usefulness of PI on the course of adenoviral conjunctivitis. PI-DXM may have a small effect on AC duration. To make future reviews possible, it is important to standardize the way in which these results are reported. Futures studies should include etiological confirmation, unit of study (eyes vs patients) and report on those aspects that are more relevant for patient quality of life (duration of the disease, development of complications: pseudomembranes and subepithelial infiltrates).

Broad-Spectrum Antimicrobial Activity of Oftasecur and Visuprime Ophthalmic Solutions

Due to the wide etiology of conjunctivitis, the expensive and time-consuming diagnosis requires new therapeutic strategies with broad-spectrum antimicrobial activity and nonselective mechanisms of action. In this context, eye drops could provide an alternative to conventional antimicrobial therapies. Here, we compare the antibacterial and antiviral activity of Oftasecur and Visuprime, commercially available ophthalmic solutions. Cytotoxicity assay was performed on Vero CCL-81 cells by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium bromide (MTT) test. Antibacterial efficacy was evaluated on Staphylococcus aureus, Staphylococcus epidermidis, Pseudomonas aeruginosa, Escherichia coli, and Klebsiella pneumoniae by disk diffusion, broth microdilution methods, and time-killing tests. Furthermore, the antiviral activity against HSV-1 was estimated by co-treatment, cell and viral pretreatment and post-treatment, via plaque reduction assay, fluorescence assessment (GFP-engineered HSV-1), and real-time PCR. After 24 h of exposure, Oftasecur and Visuprime showed a volume-inducing 50% of cytotoxicity of 125 and 15.8 μL, respectively Oftasecur and Visuprime induced 90% antibacterial activity in response to mean volume of 10.0 and 4.4 µL for Gram-positive and Gram-negative strains, respectively. Oftasecur exerted bactericidal action on both bacterial populations, while Visuprime was bacteriostatic on Gram-negative strains and slightly bactericidal on Gram-positive bacteria. A major impact on infectivity occurred by exposure of viral particles to the ophthalmic solutions. In detail, 50% of inhibition was verified by exposing the viral particles to 3.12 and 0.84 μL of Oftasecur and Visuprime, respectively, for 1 h. The reduction of the fluorescence and the expression of the viral genes confirmed the recorded antiviral activity. Due to their high antimicrobial efficiency, Oftasecur and Visuprime could represent a valid empirical strategy for the treatment of conjunctivitis.

Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study

Background

Infectious conjunctivitis is contagious and may lead to an outbreak. Prevention systems can help to avoid an outbreak.

Objective

We aimed to evaluate if Google search data on conjunctivitis and associated terms can be used to estimate the incidence and if the data can provide an estimation for outbreaks.

Methods

We obtained Google search data over 4 years for the German term for conjunctivitis (“Bindehautentzündung”) and 714 associated terms in 12 selected German cities and Germany as a whole using the Google AdWords Keyword Planner. The search volume from Freiburg was correlated with clinical data from the Freiburg emergency practice (Eye Center University of Freiburg).

Results

The search volume for the German term for conjunctivitis in Germany as a whole and in the 12 German cities showed a highly uniform seasonal pattern. Cross-correlation between the temporal search frequencies in Germany as a whole and the 12 selected cities was high without any lag. Cross-correlation of the search volume in Freiburg with the frequency of conjunctivitis (International Statistical Classification of Diseases and Related Health Problems [ICD] code group “H10.-”) from the centralized ophthalmologic emergency practice in Freiburg revealed a considerable temporal association, with the emergency practice lagging behind the frequency. Additionally, Pearson correlation between the count of patients per month and the count of searches per month in Freiburg was statistically significant (P=.04).

Conclusions

We observed a close correlation between the Google search volume for the signs and symptoms of conjunctivitis and the frequency of patients with a congruent diagnosis in the Freiburg region. Regional deviations from the nationwide average search volume may therefore indicate a regional outbreak of infectious conjunctivitis.