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      Retinal detachment following cataract phacoemulsification—a review of the literature

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      Eye
      Springer Science and Business Media LLC

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          Abstract

          A link between cataract surgery and rhegmatogenous retinal detachment (RRD) has long been considered. Indeed, pseudophakic retinal detachment (PPRD) forms a substantial and increasing proportion of RRD. We reviewed the literature to answer the following questions: what is the incidence of PPRD in eyes following phacoemulsification cataract surgery and how does its risk change over time following surgery? We also sought to assess how the risk is modified by intraoperative factors (operative complications, surgeon grade, subsequent laser capsulotomy), intrinsic eye-related factors (laterality, myopia, previous RRD, previous trauma, previous PVD) and patient factors (sex, age, ethnicity, affluence, systemic comorbidities). Secondarily we asked how the incidence of PPRD after phacoemulsification compares with the RRD incidence in the general population and how identified risk factors contribute to the pathophysiology of PPRD. A search of the Medline and Ovid databases was conducted for relevant publications from 1990 onwards using defined search terms with pre planned inclusion and exclusion criteria. The 10-year PPRD incidence after phacoemulsification was identified as being between 0.36 and 2.9%. This decreases over time to 0.1–0.2% annually but remains above the general population. The PPRD risk is further elevated by (in order of decreasing effect) intraoperative vitreous loss, increasing axial length, younger age, male sex and trainee operating surgeons. The PPRD risk after phacoemulsification is approximately ten times the general population’s RRD risk. This risk is modified by the interplay of a hierarchy of risk factors, of which intraoperative vitreous loss, myopia, age and sex have the biggest effect.

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          Most cited references51

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          The prevalence of refractive errors among adults in the United States, Western Europe, and Australia.

          To estimate the prevalence of refractive errors in persons 40 years and older. Counts of persons with phakic eyes with and without spherical equivalent refractive error in the worse eye of +3 diopters (D) or greater, -1 D or less, and -5 D or less were obtained from population-based eye surveys in strata of gender, race/ethnicity, and 5-year age intervals. Pooled age-, gender-, and race/ethnicity-specific rates for each refractive error were applied to the corresponding stratum-specific US, Western European, and Australian populations (years 2000 and projected 2020). Six studies provided data from 29 281 persons. In the US, Western European, and Australian year 2000 populations 40 years or older, the estimated crude prevalence for hyperopia of +3 D or greater was 9.9%, 11.6%, and 5.8%, respectively (11.8 million, 21.6 million, and 0.47 million persons). For myopia of -1 D or less, the estimated crude prevalence was 25.4%, 26.6%, and 16.4% (30.4 million, 49.6 million, and 1.3 million persons), respectively, of whom 4.5%, 4.6%, and 2.8% (5.3 million, 8.5 million, and 0.23 million persons), respectively, had myopia of -5 D or less. Projected prevalence rates in 2020 were similar. Refractive errors affect approximately one third of persons 40 years or older in the United States and Western Europe, and one fifth of Australians in this age group.
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            The Cataract National Dataset electronic multicentre audit of 55,567 operations: risk stratification for posterior capsule rupture and vitreous loss.

            To identify and quantify risk factors for posterior capsule rupture or vitreous loss or both (PCR or VL or both) during cataract surgery and provide a method of composite risk assessment for individual operations.
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              On the ocular refractive components: the Reykjavik Eye Study.

              To study the correlation between ocular refraction and the refractive components (corneal power, lens power and axial length) in a population-based sample of normal subjects. We analysed the refractive and biometric findings for 723 right eyes (325 males and 398 females) comprising a population-based random sample of citizens 55 years and older participating in the Reykjavik Eye Study. Measurements of refraction, corneal curvature (by keratometry), anterior chamber depth, lens thickness and axial length (all by ultrasound biometry) were used to calculate crystalline lens power. The correlation and regression between refraction and ocular refractive components (corneal power, anterior chamber depth, lens power and axial length) were studied by distributional statistical methods. Refraction (spherical equivalent) showed a significant negative correlation with axial length (r = -0.59, P < 0.0001), lens power (r = -0.26, P < 0.0001) and corneal power (r = -0.16, P < 0.0001). There were significant negative correlations between axial length and corneal power (r = -0.44, P < 0.0001) and between axial length and lens power (r = -0.44, P < 0.0001). Based on multiple linear regression analysis, refraction could be correlated with corneal power, lens power and axial length in combination with a correlation coefficient of 0.98 (P < 0.0001). This study confirms that ocular refraction is statistically significantly correlated with not only axial length but also lens power and (to a lesser extent) corneal power. The variation and correlations of crystalline lens power were considerable -- possibly indicating this component's modulatory effect on ocular refraction during growth. We conclude the refractive error of the eye to be a multifactorial condition involving a complex interplay between the cornea, the lens and the length of the eye.
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                Author and article information

                Journal
                Eye
                Eye
                Springer Science and Business Media LLC
                0950-222X
                1476-5454
                October 1 2019
                Article
                10.1038/s41433-019-0575-z
                7093479
                31576027
                afe04791-afbb-4114-a074-6bab8c9d2c30
                © 2019

                http://www.springer.com/tdm

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