Prevalence of comorbidities with the potential to increase the risk of nonadherence to topical ocular hypotensive medication in patients with open-angle glaucoma
Bibliographic record
Abstract
OBJECTIVE: To evaluate the prevalence of comorbidities that may limit or prevent adherence to topical ocular hypotensive therapy in patients with open-angle glaucoma (OAG). METHODS: The UK Clinical Practice Research Datalink (CPRD) database of primary and secondary care and prescription records was analyzed to identify patients with a first (index) diagnosis of OAG during 2016-2020. The primary care records of these patients were screened for diagnostic terms linked to prespecified (qualifying) comorbidities considered to have the potential to impact patients' ability to instill eye drops. The prevalence of each of 10 categories of qualifying comorbidity recorded within the period from 5 years before to 2 years after the index OAG diagnosis was analyzed. RESULTS: A total of 100,968 patients with OAG were included in the analysis. Among the patients in the OAG cohort, 13,962 (13.8%) were aged 40-54 years, 32,145 (31.8%) were aged 55-69 years, 42,042 (41.6%) were aged 70-84 years, and 12,819 (12.7%) were aged 85+ years. Within the OAG population, 82.7%, 14.6%, and 2.7% of patients had no category, one category, and two or more categories of qualifying comorbidity, respectively. Qualifying comorbidities were most common in older patients. The most prevalent qualifying comorbidities were categorized as degenerative, traumatic, or pathological central nervous system disorder disrupting cognitive function (5.2%), movement disorder (4.4%), and low vision (4.1%). The prevalence of arthropathies and injuries affecting upper limbs (including arthritis in the hands) was 2.4%. CONCLUSIONS: The presence of comorbidities should be considered when determining whether eye drops are suitable treatment for glaucoma. Neurodegenerative disease affecting cognition and memory, motor disease, and low vision are common comorbidities that may impact adherence to eye drops, and affected patients may benefit from non-drop treatment modalities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".