Cluster-Based Immunization Patterns in Diabetes Mellitus: Insights for Personalized Preventive Care

Area of Science:

• Public Health
• Personalized Medicine
• Epidemiology

Background:

• Investigated immunization and preventive care in diabetes mellitus (DM) patients.
• Stratified patients into risk clusters based on comorbidities for a personalized medicine approach.
• Utilized the Austrian health interview survey 2019 data.

Purpose of the Study:

• To analyze immunization status and preventive care uptake among distinct DM patient risk clusters.
• To identify specific comorbidity patterns associated with lower vaccination rates.
• To inform targeted preventive strategies for diabetes management.

Main Methods:

• Identified four patient groups: three distinct comorbidity clusters and a control cohort.
• Employed chi-squared tests for cohort comparisons.
• Used logistic regression to analyze associations between cluster variables and vaccination/preventive care.

Main Results:

• Significant differences in diphtheria immunization across cohorts (p=0.047).
• Cluster 2 (DM, arterial hypertension, dyslipidemia, obesity class II) showed lower tetanus and diphtheria immunization compared to controls (p<0.05).
• Cluster 1 reported higher fecal occult blood test rates; Cluster 2 reported higher colonoscopy rates versus controls.

Conclusions:

• A personalized medicine approach highlights lower immunization rates in DM patients with specific comorbidities like hypertension, dyslipidemia, and obesity.
• These findings underscore the necessity for targeted preventive strategies in high-risk DM patient groups.
• The study emphasizes the importance of tailored interventions to improve vaccination uptake and preventive care in personalized diabetes management.