Prevalence of polypoidal choroidal vasculopathy in Indian population: Risk factors, clinical and imaging characteristics

PLoS One. 2020 Apr 28;15(4):e0231901. doi: 10.1371/journal.pone.0231901. eCollection 2020.

Abstract

Aim: To assess prevalence, clinical presentation and multimodal imaging characteristics of polypoidal choroidal vasculopathy (PCV) in a hospital-based setting in South India.

Methods: Electronic medical records (EMR) of new patients presenting with suspected clinical signs of wet age-related macular degeneration (AMD) in a tertiary hospital from January to December 2016 were retrospectively analyzed using keywords and filtered for patient who underwent multimodal imaging. Clinical presentations were categorized into predominantly hemorrhagic, exudative or mixed pattern. The imaging features were compared in these clinical groups. The multimodal images were graded by two masked graders and discrepancies between them were settled by a senior arbitrator.

Results: Of the 147 clinically suspicious cases of PCV out of 785 patients with clinical presentation of AMD as recorded in the EMR, 73 (49.7%) patients had a multimodal imaging diagnosis of PCV. There was no difference in the demography, distribution of polyps, ICGA and OCT characteristics in eyes presenting with hemorrhagic, exudative or mixed clinical features.

Conclusion: Approximately half of South Asian patients presenting with clinical features of neovascular AMD harbor PCV irrespective of their clinical presentation and so we recommend that multimodal imaging is done in all cases of suspicious neovascular AMD in Indian population.

MeSH terms

  • Adult
  • Aged
  • Choroid / diagnostic imaging
  • Choroid / pathology
  • Female
  • Fluorescein Angiography
  • Humans
  • India / epidemiology
  • Macular Degeneration / epidemiology
  • Macular Degeneration / pathology*
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Odds Ratio
  • Prevalence
  • Retrospective Studies
  • Risk Factors
  • Tomography, Optical Coherence
  • Vascular Diseases / diagnosis*
  • Vascular Diseases / diagnostic imaging
  • Vascular Diseases / epidemiology

Associated data

  • figshare/10.6084/m9.figshare.11936607

Grants and funding

The authors received no specific funding for this work.