Comorbidity Patterns in Patients at Cardiovascular Hospital Admission

Area of Science:

• Cardiology
• Internal Medicine
• Data Science in Healthcare

Background:

• Hypertension often coexists with obesity, diabetes, and hyperlipidemia.
• The association between hypertension and cardiovascular disease (CVD) is well-established.
• Managing comorbidities is crucial for comprehensive patient care.

Purpose of the Study:

• To identify relevant patterns of hospitalized cardiovascular disease patients.
• To analyze comorbidities such as triglycerides, cholesterol, diabetes, hypertension, and obesity.
• To stratify patients based on comorbidity severity for targeted management.

Main Methods:

• Utilized cluster analysis to group patients with cardiovascular diseases.
• Explored dimensions of comorbidity and varying numbers of clusters.
• Analyzed combinations of comorbidities including triglycerides, cholesterol, diabetes, hypertension, and obesity.

Main Results:

• Identified three primary patient hospitalization profiles based on comorbidities.
• 20% of patients presented with less severe comorbidities.
• 44% had significantly severe comorbidities.
• 36% exhibited severe hypertension and obesity despite controlled triglycerides, cholesterol, and diabetes.

Conclusions:

• Distinct patient profiles requiring hospitalization for cardiovascular disease emerge from comorbidity patterns.
• Understanding these profiles can inform clinical management strategies.
• Comorbidity combinations, particularly severe hypertension and obesity, are critical factors in patient hospitalization.