Evidence map›Paper›PMID 41383810›Full record

ArticleRisk management and healthcare policy2025

Analysis of Risk Factors of Postoperative Dry Eye in Cataract Patients Based on Lens Nucleus Hardness Grading.

Qinhua Jiang, Ling Shen

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Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Qinhua JiangDepartment of Ophthalmology, Nanjing Aier Eye Hospital, Nanjing, Jiangsu Province, 210000, People's Republic of China.
Ling ShenDepartment of Ophthalmology, Nanjing Aier Eye Hospital, Nanjing, Jiangsu Province, 210000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the risk factors associated with dry eye disease (DED) development in cataract (CAT) patients following phacoemulsification surgery, with a focus on lens nucleus hardness grading, and to develop a predictive model for individualized clinical management. Methods: This retrospective study included 150 cataract patients who underwent phacoemulsification from January 2023 to January 2025. Lens nucleus hardness was graded using the Emery system. Preoperative assessments included ocular surface status and systemic comorbidities. Logistic regression was used to identify independent risk factors, and a predictive model was developed and evaluated by receiver operating characteristic (ROC) analysis. Results: Postoperative DED occurred in 38.7% of patients. Multivariate analysis revealed that diabetes mellitus, history of keratoconjunctivitis, conjunctivochalasis grade ≥III, lens nucleus hardness grade ≥IV, and 3.0 mm clear limbal incision were independent risk factors (all P<0.05). The prediction model showed good performance (AUC=0.836), with 84.5% sensitivity and 69.6% specificity. Conclusion: Lens nucleus hardness, along with key clinical factors, independently predicts DED risk after cataract surgery. The developed model may assist in early risk identification and personalized perioperative management.

Indexed as

cataractconjunctivochalasis severitydiabetes mellitusdry eye diseaselens nucleus hardness

Identifiers

PMID41383810
PMCPMC12691645

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