Hyperthyroidism and cardiovascular disease: an association study using big data analytics

Area of Science:

• Endocrinology and Cardiology
• Big Data Analytics in Healthcare

Background:

• Thyroid hormones profoundly impact the cardiovascular (CV) system.
• Both hypothyroidism and hyperthyroidism elevate the risk of severe CV complications.

Purpose of the Study:

• To assess the association between hyperthyroidism and major cardiovascular risk factors (CVRFs) and cardiovascular diseases (CVDs).
• Utilize a big data methodology with the Savana Manager platform for comprehensive analysis.

Main Methods:

• Observational, retrospective study design.
• Data sourced from electronic medical records of University Hospital Puerta de Hierro Majadahonda, Spain.
• Employed artificial intelligence and Savana Manager 3.0 software for data extraction and analysis.

Main Results:

• Hyperthyroidism (1.02% of 540,939 patients) was significantly associated with higher frequencies of CVRFs and CVDs (p < 0.0001).
• Elevated CVRFs and CVDs observed in hyperthyroid patients across all age and gender groups.
• Highest odds ratios for embolic stroke (6.40) and atrial fibrillation (5.99); hyperthyroidism independently associated with most CVDs except embolic stroke.

Conclusions:

• Significant association confirmed between hyperthyroidism, CVRFs, and CVDs in the studied population.
• Findings hold true regardless of patient age and gender.
• Demonstrates the utility of artificial intelligence in analyzing real-world health data.