[Prevalence and detection rate of senile cataract in individuals with cardiovascular diseases]

E M Osmanov1, R R Manyakov2, P B Velichko3

  • 1I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.

Vestnik Oftalmologii
|August 25, 2022
PubMed

Insights

Cardiovascular diseases significantly increase the prevalence and detection rates of senile cataracts in adults over 40. This study identifies key populations for targeted cataract screening efforts.

Area of Science:

  • Ophthalmology
  • Cardiology
  • Geriatrics

Background:

  • Senile cataracts are a leading cause of vision impairment, particularly in aging populations.
  • Cardiovascular diseases (CVD) are highly prevalent in individuals over 40.
  • The relationship between CVD and senile cataract prevalence and detection warrants further investigation.

Purpose of the Study:

  • To determine the prevalence of senile cataracts in adults aged 40 and older with cardiovascular system diseases.
  • To assess the detection rate of senile cataracts in this specific demographic.
  • To identify target populations for enhanced cataract screening.

Main Methods:

  • Observational, cross-sectional study design.
  • Utilized electronic health records (EHR) of patients aged 40-99 years.
  • Analyzed data from patients receiving medical services at a city polyclinic.

Main Results:

  • Senile cataract prevalence varied among cardiovascular conditions: essential hypertension (10.4%), cerebrovascular diseases (17.1%), varicose veins (19.9%), and ischemic heart disease (15.8%).
  • Cataract detection was significantly higher in patients with CVD (OR 5.02-6.57) and varicose veins (OR 3.70).
  • Female gender was associated with increased cataract likelihood across all studied cardiovascular conditions.

Conclusions:

  • Specific cardiovascular disease patient groups demonstrate a higher prevalence and detection rate of senile cataracts.
  • Findings highlight the need for targeted screening programs for senile cataracts in individuals with cardiovascular diseases.
  • Identification of high-risk groups can optimize resource allocation for early cataract detection and intervention.
Abstract

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