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Zhang C, Palka C, Zhu D, Lai D, Winokur J, Shwani T, DeAngelis MM, Reynolds AL. Clinical Outcomes in Scleral Fixation Secondary Intraocular Lens with Yamane versus Suture Techniques: A Systematic Review and Meta-Analysis. J Clin Med 2024; 13:3071. [PMID: 38892783 PMCID: PMC11173341 DOI: 10.3390/jcm13113071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 03/17/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
Background: The purpose of the study is to compare the visual outcomes and complications of sutured scleral fixation (SSF), a traditional and conservative surgical approach, and the newer and faster Yamane technique for secondary intraocular lens placement. Methods: A literature search was performed on PubMed, Embase, and Scopus on studies published between 1 July 2017 to 29 September 2023. Outcomes analyzed included the final best corrected visual acuity (BCVA) between 3 and 12 months to assess the effectiveness of the procedure, post-operative month (POM) 1 BCVA to assess the speed of visual recovery, endothelial cell count (ECC), absolute refractive error, surgical duration, and complication rates. Additional subgroup analyses were performed based on surgeon experience with the technique. Single-surgeon studies had an average of 26 procedures performed, whereas multiple-surgeon studies averaged only 9 procedures performed; these were then used to delineate surgeon experience. A sample-size weighted mean difference (MD) meta-analysis was performed across all variables using RevMan 5.4.1; p < 0.05 was considered statistically significant. Results: Thirteen studies with 737 eyes were included: 406 eyes were included in the SSF group, and 331 eyes were included in the Yamane group. There was no significant difference in the final BCVA between groups in both the single-surgeon versus multiple-surgeon studies (MD = -0.01, 95% CI: [-0.06, 0.04], p = 0.73). In the single-surgeon studies, the BCVA at POM1 was significantly improved in the Yamane group compared to SSF (MD = -0.10, 95% CI: [-0.16, -0.04], p = 0.002). In the multiple-surgeon studies, there was no significant difference in BCVA at POM1 (MD = -0.06, 95% CI: [-0.16, 0.04], p = 0.23). The Yamane group had a shorter surgical duration than SSF in both single-surgeon and multiple-surgeon studies (MD = -24.68, 95% CI: [-35.90, -13.46], p < 0.0001). The ECC, refractive error, and complication rates did not significantly differ amongst all groups. Conclusions: The Yamane technique demonstrated similar long-term visual outcomes and complication rates to the traditional SSF. Visual recovery was significantly faster in the Yamane group in the single-surgeon studies. The operative times were shorter across all Yamane groups. Based on these findings, it is advisable to consider the Yamane technique as a viable, and perhaps preferable, option for patients requiring secondary IOL placement, alongside traditional SSF methods.
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Affiliation(s)
- Charles Zhang
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (D.L.); (T.S.); (A.L.R.)
| | - Charles Palka
- Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, 955 Main Street, Buffalo, NY 14203, USA;
| | - Daniel Zhu
- Department of Ophthalmology, Northwell Health Eye Institute, Great Neck, NY 11021, USA; (D.Z.); (J.W.)
| | - Daniel Lai
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (D.L.); (T.S.); (A.L.R.)
| | - Jules Winokur
- Department of Ophthalmology, Northwell Health Eye Institute, Great Neck, NY 11021, USA; (D.Z.); (J.W.)
| | - Treefa Shwani
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (D.L.); (T.S.); (A.L.R.)
- Neuroscience Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Margaret M. DeAngelis
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (D.L.); (T.S.); (A.L.R.)
- Neuroscience Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Department of Ophthalmology and Visual Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Department of Population Health Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT 84132, USA
- Veterans Administration Western New York Healthcare System, Buffalo, NY 14212, USA
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
- Genetics, Genomics and Bioinformatics Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA
| | - Andrew L. Reynolds
- Department of Ophthalmology, Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY 14203, USA; (C.Z.); (D.L.); (T.S.); (A.L.R.)
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Liu R, Sule AA, Shannon CS, Ravilla T, Taylor H, Rojas-Carabali W, Khanna RC, Mishra C, Sen A, Khatri A, Tan ACS, Sobrin L, Agrawal R. A practical model for effective eye care delivery in Southeast Asian rural communities: A proposal built based on experts' recommendations. Indian J Ophthalmol 2024; 72:S473-S481. [PMID: 38648455 PMCID: PMC467020 DOI: 10.4103/ijo.ijo_2196_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/10/2023] [Accepted: 01/03/2024] [Indexed: 04/25/2024] Open
Abstract
PURPOSE To evaluate rural community-based eye care models from the perspective of community ophthalmology experts and suggest sustainable technological solutions for enhancing rural eye care delivery. METHODS A semi-structured descriptive survey, using close-ended and open-ended questions, was administered to the experts in community ophthalmology sourced through purposive sampling. The survey was self-administered and was facilitated through online platforms or in-person meetings. Uniform questions were presented to all participants, irrespective of their roles. RESULTS Surveyed participants (n = 22 with 15 from India and 7 from Nepal) in high-volume tertiary eye hospitals faced challenges with resources and rural outreach. Participants had mixed satisfaction with pre-operative screening and theatre resources. Delayed presentations and inexperienced surgeons contributed to the surgery complications. Barriers to rural eye care included resource scarcity, funding disparities, and limited infrastructure. In rural/peri-urban areas 87% of participants agreed with providing primary eye care services, with more than 60% of the experts not in agreement with the makeshift center model of eye care delivery. Key components for an effective eye care model are sustainability, accessibility, affordability, and quality. These can be bolstered through a healthcare management platform and a human-chain supply distribution system. CONCLUSION Tailored interventions are crucial for rural eye care, emphasizing the need for stronger human resources, optimized funding, and community awareness. Addressing challenges pertinent to delayed presentation and surgical training is vital to minimizing complications, especially with advanced cataracts. Enhancements in rural eye care demand a comprehensive approach prioritizing accessibility, affordability, and consistent quality.
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Affiliation(s)
- Renee Liu
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary and Harvard Medical School, Schepens Eye Research Institute, Boston, Massachusetts, USA
| | - Ashita A Sule
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Choo Sheriel Shannon
- Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore
| | | | - Hugh Taylor
- Indigenous Eye Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Australia
| | - William Rojas-Carabali
- Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore
- Lee Kong Chian School of Medicine, Singapore
| | - Rohit C Khanna
- Allen Foster Community Eye Health Research Centre, Gullapalli Pratibha Rao International Centre for Advancement of Rural Eye Care, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | | | - Alok Sen
- Sadguru Netra Chikatsalaya, Sri Sadguru Seva Sangh Trust, Chitrakoot, Madhya Pradesh, India
| | | | - Anna C S Tan
- Singapore National Eye Centre, Singapore
- Singapore Eye Research Institute, The Academia, Singapore, Singapore
- Department of Ophthalmology and Visual Sciences, Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Lucia Sobrin
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary and Harvard Medical School, Schepens Eye Research Institute, Boston, Massachusetts, USA
| | - Rupesh Agrawal
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore
- Singapore Eye Research Institute, The Academia, Singapore, Singapore
- Department of Ophthalmology and Visual Sciences, Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- Lee Kong Chian School of Medicine, Singapore
- Moorfields Eye Hospital, NHS Foundation Trust, London, UK
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Lanza M, Koprowski R, Boccia R, Ruggiero A, De Rosa L, Tortori A, Wilczyński S, Melillo P, Sbordone S, Simonelli F. Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital. J Clin Med 2021; 10:jcm10225399. [PMID: 34830681 PMCID: PMC8625404 DOI: 10.3390/jcm10225399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 11/18/2021] [Accepted: 11/18/2021] [Indexed: 11/16/2022] Open
Abstract
Background: Artificial intelligence (AI) is becoming ever more frequently applied in medicine and, consequently, also in ophthalmology to improve both the quality of work for physicians and the quality of care for patients. The aim of this study is to use AI, in particular classification tree, for the evaluation of both ocular and systemic features involved in the onset of complications due to cataract surgery in a teaching hospital. Methods: The charts of 1392 eyes of 1392 patients, with a mean age of 71.3 ± 8.2 years old, were reviewed to collect the ocular and systemic data before, during and after cataract surgery, including post-operative complications. All these data were processed by a classification tree algorithm, producing more than 260 million simulations, aiming to develop a predictive model. Results: Postoperative complications were observed in 168 patients. According to the AI analysis, the pre-operative characteristics involved in the insurgence of complications were: ocular comorbidities, lower visual acuity, higher astigmatism and intra-operative complications. Conclusions: Artificial intelligence application may be an interesting tool in the physician’s hands to develop customized algorithms that can, in advance, define the post-operative complication risk. This may help in improving both the quality and the outcomes of the surgery as well as in preventing patient dissatisfaction.
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Affiliation(s)
- Michele Lanza
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy; (R.B.); (A.R.); (L.D.R.); (A.T.); (P.M.); (S.S.); (F.S.)
- Correspondence: ; Tel.: +39-08-1566-6778
| | - Robert Koprowski
- Institute of Biomedical Engineering, Faculty of Science and Technology, University of Silesia in Katowice, Bedzińska 39, 41-200 Sosnowiec, Poland;
| | - Rosa Boccia
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy; (R.B.); (A.R.); (L.D.R.); (A.T.); (P.M.); (S.S.); (F.S.)
| | - Adriano Ruggiero
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy; (R.B.); (A.R.); (L.D.R.); (A.T.); (P.M.); (S.S.); (F.S.)
| | - Luigi De Rosa
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy; (R.B.); (A.R.); (L.D.R.); (A.T.); (P.M.); (S.S.); (F.S.)
| | - Antonia Tortori
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy; (R.B.); (A.R.); (L.D.R.); (A.T.); (P.M.); (S.S.); (F.S.)
| | - Sławomir Wilczyński
- Department of Basic Biomedical Science, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, Będzińska Street 39, 41-200 Sosnowiec, Poland;
| | - Paolo Melillo
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy; (R.B.); (A.R.); (L.D.R.); (A.T.); (P.M.); (S.S.); (F.S.)
| | - Sandro Sbordone
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy; (R.B.); (A.R.); (L.D.R.); (A.T.); (P.M.); (S.S.); (F.S.)
| | - Francesca Simonelli
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy; (R.B.); (A.R.); (L.D.R.); (A.T.); (P.M.); (S.S.); (F.S.)
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Lanza M, Koprowski R, Boccia R, Ruggiero A, De Rosa L, Tortori A, Wilczyński S, Melillo P, Sbordone S, Simonelli F. Classification Tree to Analyze Factors Connected with Post Operative Complications of Cataract Surgery in a Teaching Hospital. J Clin Med 2021; 10:jcm10225399. [PMID: 34830681 DOI: 10.3390/jcm10225399.pmid:34830681;pmcid:pmc8625404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 11/18/2021] [Accepted: 11/18/2021] [Indexed: 05/22/2023] Open
Abstract
BACKGROUND Artificial intelligence (AI) is becoming ever more frequently applied in medicine and, consequently, also in ophthalmology to improve both the quality of work for physicians and the quality of care for patients. The aim of this study is to use AI, in particular classification tree, for the evaluation of both ocular and systemic features involved in the onset of complications due to cataract surgery in a teaching hospital. METHODS The charts of 1392 eyes of 1392 patients, with a mean age of 71.3 ± 8.2 years old, were reviewed to collect the ocular and systemic data before, during and after cataract surgery, including post-operative complications. All these data were processed by a classification tree algorithm, producing more than 260 million simulations, aiming to develop a predictive model. RESULTS Postoperative complications were observed in 168 patients. According to the AI analysis, the pre-operative characteristics involved in the insurgence of complications were: ocular comorbidities, lower visual acuity, higher astigmatism and intra-operative complications. CONCLUSIONS Artificial intelligence application may be an interesting tool in the physician's hands to develop customized algorithms that can, in advance, define the post-operative complication risk. This may help in improving both the quality and the outcomes of the surgery as well as in preventing patient dissatisfaction.
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Affiliation(s)
- Michele Lanza
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy
| | - Robert Koprowski
- Institute of Biomedical Engineering, Faculty of Science and Technology, University of Silesia in Katowice, Bedzińska 39, 41-200 Sosnowiec, Poland
| | - Rosa Boccia
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy
| | - Adriano Ruggiero
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy
| | - Luigi De Rosa
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy
| | - Antonia Tortori
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy
| | - Sławomir Wilczyński
- Department of Basic Biomedical Science, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, Będzińska Street 39, 41-200 Sosnowiec, Poland
| | - Paolo Melillo
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy
| | - Sandro Sbordone
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy
| | - Francesca Simonelli
- Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, 80100 Napoli, Italy
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