Epidemiological analysis of congenital glaucoma: a national scenario

Rev Assoc Med Bras (1992). 2024 May 3;70(4):e20231203. doi: 10.1590/1806-9282.20231203. eCollection 2024.

Abstract

Introduction: Congenital glaucoma is a disease that involves increased intraocular pressure and can result in irreversible visual deterioration. The study of epidemiology allows the delineation of the characteristics associated with patients and specific risk factors.

Objective: The objective of this study was to examine epidemiological trends, place of residence, duration of gestation, sex, and race of the newborn diagnosed with congenital glaucoma in Brazil.

Methods: Data from SINASC (National Live Birth System) were used to analyze the period from 2017 to 2021 in Brazil. Linear regression and analysis of variance tests were employed to assess significance. The statistical significance was determined by p<0.05.

Results: A total of 47 cases of congenital glaucoma were identified in Brazil during the study period, with the highest incidence between the years of 2018 and 2021. The analysis of the distribution indicated that the states with the highest incidence were São Paulo, followed by Rio Grande do Sul and Pernambuco. Approximately 60% of cases occurred in male individuals, compared with 19 female cases. The ethnic analysis showed the highest incidence among whites and mixed. Regarding the length of pregnancy, statistical differences were observed between newborns of different periods of gestation. Infants born from pregnancies lasting between 28 and 31 weeks and 32 and 36 weeks were significant when analyzed with the group between 37 and 41 weeks.

Conclusion: Studies on the mechanisms of congenital glaucoma seek to improve knowledge about the disease. Epidemiological evaluation is essential for identifying demographic and clinical patterns of the disease.

MeSH terms

  • Brazil / epidemiology
  • Female
  • Gestational Age
  • Glaucoma* / congenital
  • Glaucoma* / epidemiology
  • Humans
  • Incidence
  • Infant, Newborn
  • Male
  • Pregnancy
  • Risk Factors
  • Sex Distribution