Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patients
AIM: To investigate the influence of postoperative intraocular lens (IOL) positions on the accuracy of cataract surgery and examine the predictive factors of postoperative biometry prediction errors using the Barrett Universal II (BUII) IOL formula for calculation. METHODS: The prospective study inc...
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| Format: | Article | 
| Language: | English | 
| Published: | Press of International Journal of Ophthalmology (IJO PRESS)
    
        2025-01-01 | 
| Series: | International Journal of Ophthalmology | 
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| Online Access: | http://ies.ijo.cn/en_publish/2025/1/20250108.pdf | 
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| author | Xu-Hao Chen Ying Hong Xiang-Han Ke Si-Jia Song Yu-Jie Cen Chun Zhang | 
| author_facet | Xu-Hao Chen Ying Hong Xiang-Han Ke Si-Jia Song Yu-Jie Cen Chun Zhang | 
| author_sort | Xu-Hao Chen | 
| collection | DOAJ | 
| description | AIM: To investigate the influence of postoperative intraocular lens (IOL) positions on the accuracy of cataract surgery and examine the predictive factors of postoperative biometry prediction errors using the Barrett Universal II (BUII) IOL formula for calculation. METHODS: The prospective study included patients who had undergone cataract surgery performed by a single surgeon from June 2020 to April 2022. The collected data included the best-corrected visual acuity (BCVA), corneal curvature, preoperative and postoperative central anterior chamber depths (ACD), axial length (AXL), IOL power, and refractive error. BUII formula was used to calculate the IOL power. The mean absolute error (MAE) was calculated, and all the participants were divided into two groups accordingly. Independent t-tests were applied to compare the variables between groups. Logistic regression analysis was used to analyze the influence of age, AXL, corneal curvature, and preoperative and postoperative ACD on MAE. RESULTS: A total of 261 patients were enrolled. The 243 (93.1%) and 18 (6.9%) had postoperative MAE<1 and >1 D, respectively. The number of females was higher in patients with MAE>1 D (χ2 = 3.833, P=0.039). The postoperative BCVA (logMAR) of patients with MAE >1 D was significantly worse (t=-2.448; P=0.025). After adjusting for gender in the logistic model, the risk of postoperative refractive errors was higher in patients with a shallow postoperative anterior chamber [odds ratio=0.346; 95% confidence interval (CI): 0.164, 0.730, P=0.005]. CONCLUSION: Risk factors for biometry prediction error after cataract surgery include the patient's sex and postoperative ACD. Patients with a shallow postoperative anterior chamber are prone to have refractive errors. | 
| format | Article | 
| id | doaj-art-d13dfe4e265d496e825f3313e8f7d813 | 
| institution | Kabale University | 
| issn | 2222-3959 2227-4898 | 
| language | English | 
| publishDate | 2025-01-01 | 
| publisher | Press of International Journal of Ophthalmology (IJO PRESS) | 
| record_format | Article | 
| series | International Journal of Ophthalmology | 
| spelling | doaj-art-d13dfe4e265d496e825f3313e8f7d8132024-12-18T07:46:07ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982025-01-01181747810.18240/ijo.2025.01.0820250108Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patientsXu-Hao Chen0Ying Hong1Xiang-Han Ke2Si-Jia Song3Yu-Jie Cen4Chun Zhang5Ying Hong. Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, China. drhongying@bjmu.edu.cnBeijing Key Laboratory of Restoration of Damaged Ocular Nerve, Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, ChinaBeijing Key Laboratory of Restoration of Damaged Ocular Nerve, Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, ChinaBeijing Key Laboratory of Restoration of Damaged Ocular Nerve, Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, ChinaBeijing Key Laboratory of Restoration of Damaged Ocular Nerve, Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, ChinaBeijing Key Laboratory of Restoration of Damaged Ocular Nerve, Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, ChinaAIM: To investigate the influence of postoperative intraocular lens (IOL) positions on the accuracy of cataract surgery and examine the predictive factors of postoperative biometry prediction errors using the Barrett Universal II (BUII) IOL formula for calculation. METHODS: The prospective study included patients who had undergone cataract surgery performed by a single surgeon from June 2020 to April 2022. The collected data included the best-corrected visual acuity (BCVA), corneal curvature, preoperative and postoperative central anterior chamber depths (ACD), axial length (AXL), IOL power, and refractive error. BUII formula was used to calculate the IOL power. The mean absolute error (MAE) was calculated, and all the participants were divided into two groups accordingly. Independent t-tests were applied to compare the variables between groups. Logistic regression analysis was used to analyze the influence of age, AXL, corneal curvature, and preoperative and postoperative ACD on MAE. RESULTS: A total of 261 patients were enrolled. The 243 (93.1%) and 18 (6.9%) had postoperative MAE<1 and >1 D, respectively. The number of females was higher in patients with MAE>1 D (χ2 = 3.833, P=0.039). The postoperative BCVA (logMAR) of patients with MAE >1 D was significantly worse (t=-2.448; P=0.025). After adjusting for gender in the logistic model, the risk of postoperative refractive errors was higher in patients with a shallow postoperative anterior chamber [odds ratio=0.346; 95% confidence interval (CI): 0.164, 0.730, P=0.005]. CONCLUSION: Risk factors for biometry prediction error after cataract surgery include the patient's sex and postoperative ACD. Patients with a shallow postoperative anterior chamber are prone to have refractive errors.http://ies.ijo.cn/en_publish/2025/1/20250108.pdfintraocular lens power calculationgenderanterior chamber depthbiometry prediction error | 
| spellingShingle | Xu-Hao Chen Ying Hong Xiang-Han Ke Si-Jia Song Yu-Jie Cen Chun Zhang Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patients International Journal of Ophthalmology intraocular lens power calculation gender anterior chamber depth biometry prediction error | 
| title | Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patients | 
| title_full | Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patients | 
| title_fullStr | Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patients | 
| title_full_unstemmed | Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patients | 
| title_short | Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patients | 
| title_sort | risk factors for biometry prediction error by barrett universal ii intraocular lens formula in chinese patients | 
| topic | intraocular lens power calculation gender anterior chamber depth biometry prediction error | 
| url | http://ies.ijo.cn/en_publish/2025/1/20250108.pdf | 
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