ArticleAmerican journal of translational research2024
Analysis of influencing factors of dry eyes after cataract surgery and construction of a prediction model.
Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Differential Characteristics, Mechanisms, and Clinical Strategies for Perioperative Dry Eye in Presenile Cataract and Age-Related Cataract.Healthcare (Basel, Switzerland) · 2026Review
- A Practical Approach for Optimizing Ocular Surface Status Before Cataract Surgery to Improve Visual Outcomes and Reduce the Risk of Postoperative Dry Eye.Ophthalmology and therapy · 2025Review
- Effect of different incisions on dry eye symptoms after cataract surgery in diabetic patients.BMC ophthalmology · 2025Article
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2 authors.
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Abstract
objectiveTo identify the influencing factors of dry eyes after cataract surgery and construct a prediction model to provide a reference for ophthalmologists in assessing the risk of postoperative dry eyes.
methodsA retrospective study was conducted from January 2023 to April 2024, involving 219 patients (219 eyes) who underwent phacoemulsification with intraocular lens implantation at the Department of Ophthalmology, Ninth People's Hospital of Suzhou. Patients were divided into two groups based on the presence or absence of dry eyes at 2 weeks postoperatively. Data from both groups were analyzed to determine the influencing factors of dry eyes after cataract surgery. A nomogram prediction model was constructed using R software. The model's discrimination was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), and model calibration was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test and the Bootstrap method (self-sampling technique). Decision curve analysis was employed to evaluate the clinical utility of the model.
resultsAmong the 219 cataract patients, 53 (24.20%) developed dry eyes during the 2-week follow-up period. Multivariate logistic regression analysis identified smoking (OR = 1.809, P = 0.037), diabetes mellitus (OR = 3.248, P = 0.002), elevated IL-6 (OR = 3.019, P = 0.016), a high Hospital Anxiety and Depression Scale (HADS) score (OR = 2.147, P = 0.029), and longer surgical incision length (OR = 2.995, P = 0.014) as significant risk factors for postoperative dry eye. The AUC of the nomogram model was 0.857 (95% CI: 0.803-0.913), and the H-L goodness-of-fit test showed no statistical significance (χ
conclusionPostoperative dry eyes in cataract patients is associated with smoking, diabetes, elevated IL-6, high HADS scores, and longer incision lengths. The nomogram model demonstrates good predictive capability for assessing the risk of dry eyes after cataract surgery.
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