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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Hyperthyroidism and cardiovascular disease: an association study using big data analytics.

Pedro Iglesias1,2, María Benavent3, Guillermo López3

  • 1Department of Endocrinology and Nutrition, University Hospital Puerta de Hierro Majadahonda, Instituto de Investigación Sanitaria Puerta de Hierro Segovia de Arana, Majadahonda, Madrid, Spain. piglo65@gmail.com.

Endocrine
|August 15, 2023
PubMed
Summary
This summary is machine-generated.

Hyperthyroidism significantly increases the risk of cardiovascular diseases (CVDs) and cardiovascular risk factors (CVRFs) in patients, regardless of age or gender. This study highlights the strong link between hyperthyroidism and major cardiovascular complications.

Keywords:
Atrial fibrillationDiabetes mellitusDyslipidemiaHypertensionHyperthyroidismSmoking habit

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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.