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Ophthalmology. 2025 Jun 9:S0161-6420(25)00344-6. doi: 10.1016/j.ophtha.2025.06.002 Q113.22024

Prevalence of Glaucoma in Europe and Projections to 2050: Findings from the European Eye Epidemiology (E3) Consortium

欧洲青光眼的患病率及2050年预测值:欧洲眼科流行病学(E3)联盟的研究结果 翻译改进

Kelsey V Stuart  1, Victor A de Vries  2, Alexander K Schuster  3, Yu Yu  4, Frank C T van der Heide  5, Cécile Delcourt  6, Audrey Cougnard-Grégoire  6, Cédric Schweitzer  7, Caroline Brandl  8, Martina E Zimmermann  9, Iris M Heid  9, Claudia Farinha  10, Rita Coimbra  11, Robert N Luben  12, Shabina Hayat  13, Kay-Tee Khaw  14, Julia V Stingl  3, Norbert Pfeiffer  3, Tos T J M Berendschot  4; Maastricht Study Consortium; Louis Arnould  15, Catherine Creuzot-Garcher  15, Ruth Hogg  16, David M Wright  16, Augusto Azuara-Blanco  16, Joëlle E Vergroesen  2, Caroline C W Klaver  17, Wishal D Ramdas  18, Fotis Topouzis  19, Dimitrios A Giannoulis  19, Mukharram M Bikbov  20, Gyulli M Kazakbaeva  20, Jost B Jonas  21, Nomdo M Jansonius  22, Rupert R A Bourne  23, Harry A Quigley  24, Paul J Foster  25, Anthony P Khawaja  25; European Eye Epidemiology (E3) Consortium; Carroll A B Webers  4, Sara Mokhtar  26

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作者单位

  • 1 NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom. Electronic address: kelsey.stuart@ucl.ac.uk.
  • 2 Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
  • 3 Department of Ophthalmology, University Medical Center Mainz, Mainz, Germany.
  • 4 Department of Ophthalmology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands; University Eye Clinic Maastricht, Maastricht University Medical Center +, Maastricht, The Netherlands.
  • 5 Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France; CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands; Department of Internal Medicine, Maastricht University Medical Center +, Maastricht, The Netherlands; BRAINlab, Hôpital Fondation Adolphe de Rothschild, Paris, France.
  • 6 University of Bordeaux, Inserm, BPH, U1219, F-33000, Bordeaux, France.
  • 7 University of Bordeaux, Inserm, BPH, U1219, F-33000, Bordeaux, France; Centre Hospitalier Universitaire de Bordeaux, Service d'Ophtalmologie, F-33000, Bordeaux, France.
  • 8 Department of Ophthalmology, University Hospital Regensburg, Regensburg, Germany; Department of Genetic Epidemiology, University Hospital Regensburg, Regensburg, Germany.
  • 9 Department of Genetic Epidemiology, University Hospital Regensburg, Regensburg, Germany.
  • 10 Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal; Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; Clinical Academic Center of Coimbra, Coimbra, Portugal.
  • 11 Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal; Department of Mathematics, University of Aveiro, Aveiro, Portugal.
  • 12 NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom; MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
  • 13 Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom.
  • 14 MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
  • 15 Department of Ophthalmology, Dijon University Hospital, Dijon, France.
  • 16 Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
  • 17 Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands; Institute of Molecular and Clinical Ophthalmology, University of Basel, Basel, Switzerland.
  • 18 Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
  • 19 1(st) Department of Ophthalmology, Aristotle University of Thessaloniki, Greece.
  • 20 Ufa Eye Research Institute, Ufa, Russian Federation.
  • 21 Institute of Molecular and Clinical Ophthalmology, University of Basel, Basel, Switzerland.
  • 22 Department of Ophthalmology, University Medical Center Groningen, Groningen, The Netherlands.
  • 23 Department of Ophthalmology, Cambridge University Hospitals, Cambridge, United Kingdom; Vision and Eye Research Institute, Anglia Ruskin University, Cambridge, United Kingdom.
  • 24 Wilmer Ophthalmological Institute, Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • 25 NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
  • 26 CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands; Department of Internal Medicine, Maastricht University Medical Center +, Maastricht, The Netherlands.
  • DOI: 10.1016/j.ophtha.2025.06.002 PMID: 40499787

    摘要 中英对照阅读

    Objective: To provide updated glaucoma prevalence estimates and to quantify the current and future burden of disease in Europe.

    Design: Two-stage, individual participant data meta-analysis.

    Participants: 55 415 adults aged 40 years and older (mean age 65.6 years, 53.9% women) from fourteen population-based studies (1991-2020) with case ascertainment based on direct ophthalmic examination, ten of which have not been included in previous meta-analyses.

    Methods: Within each study, age- and sex-stratified glaucoma prevalence was calculated, before pooling results using random-effects meta-analysis and performing age standardization. Meta-regression and subgroup analyses were used to assess for temporal trends and to investigate heterogeneity across clinically relevant subgroups. Estimates were applied to European population projections to predict the number of individuals with glaucoma.

    Main outcome measures: Age-standardized prevalence (European Standard Population, 2013) of total and previously undiagnosed glaucoma for individuals aged 40 years and older. Annual projected number of glaucoma cases (UN World Population Prospects, 2022) in Europe to 2050.

    Results: Overall, 2 021 participants (3.65%) were diagnosed with glaucoma with an age-standardized European prevalence of 2.99% (95% CI, 2.86-3.12). Older age (OR 1.32 per 5-year increase; 95% CI 1.29-1.36; P<0.001) and male sex (OR 1.18; 95% CI 1.08-1.30; P<0.001) were associated with higher prevalence. Despite regional and diagnostic differences in prevalence estimates, no temporal trend was identified over the study period. More than half (56.4%) of cases were previously undiagnosed, with a higher proportion of undetected disease in younger participants, including over 80% in those aged less than 55 years. We estimate a current burden of 12.3 million individuals with glaucoma in Europe, including 6.9 million undiagnosed cases. This burden is projected to grow by more than one million cases by 2050 due to changing population age structure, with a preponderance of primary open-angle glaucoma.

    Conclusions: The current and future burden of glaucoma in Europe may be substantially higher than previously estimated, with a considerable proportion of disease in the general population remaining undetected. This may have broader implications for other age-related conditions where the number of affected individuals is based solely on published aggregate-level data.

    Keywords: E3 Consortium; Europe; Glaucoma; Meta-analysis; Prevalence.

    Keywords:glaucoma prevalence; europe; eye epidemiology

    目标:

    为了提供最新的青光眼流行率估计,并量化欧洲当前和未来的疾病负担。

    设计:

    两阶段个体参与者数据荟萃分析。

    参与者:

    来自14项基于人群的研究(1991-2020)的55,415名年龄在40岁及以上的成年人(平均年龄65.6岁,女性占53.9%),这些研究中的病例鉴定是基于直接眼科检查结果,其中10项研究未被之前的荟萃分析包含。

    方法:

    在每个研究中计算按年龄和性别分层的青光眼流行率,在此之前使用随机效应荟萃分析汇总结果并进行年龄标准化。使用元回归和亚组分析来评估时间趋势,并调查临床相关亚群之间的异质性。将估计值应用于欧洲人口预测,以预测患有青光眼的人数。

    主要结局指标:

    根据2013年欧洲标准人口的年龄标准化流行率(40岁及以上人群的总青光眼和之前未诊断的青光眼)。根据联合国世界人口展望(2022),至2050年在欧洲每年预期的新发病例数。

    结果:

    总体而言,有2,021名参与者(3.65%)被诊断出患有青光眼,在年龄标准化后,欧洲的患病率为2.99%(95% CI 2.86-3.12)。随着年龄增长(每增加5岁比值比OR为1.32;95% CI 1.29-1.36;P结论:

    与之前估计相比,欧洲当前和未来的青光眼疾病负担可能更高,在一般人群中仍有许多未被发现的疾病。这可能会对其他年龄相关性疾病产生更广泛的影响,这些疾病的患者数量仅基于已发布的汇总数据进行计算。

    关键词:

    E3联盟;欧洲;青光眼;荟萃分析;流行率。

    关键词:青光眼流行率; 欧洲; 眼科流行病学

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    期刊名:Ophthalmology

    缩写:OPHTHALMOLOGY

    ISSN:0161-6420

    e-ISSN:1549-4713

    IF/分区:13.2/Q1

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    Prevalence of Glaucoma in Europe and Projections to 2050: Findings from the European Eye Epidemiology (E3) Consortium