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

<b>Background</b>: We investigated immunization status and preventive care among diabetes mellitus (DM) patients by stratifying them into clinically distinct risk clusters based on comorbidities, reflecting a personalized medicine approach. <b>Methods</b>: Using the Austrian health interview survey 2019, we identified four groups: cluster 1 (DM, arterial hypertension (aHTN), dyslipidemia; <i>n</i> = 215), cluster 2 (DM, aHTN, dyslipidemia, obesity class II; <i>n</i> = 33), cluster 3 (DM, aHTN, dyslipidemia, depression; <i>n</i> = 65), and a control cohort (DM without hyperlipidemia, hypertension, depression, or obesity class II; <i>n</i> = 214). The cohorts were compared by chi<sup>2</sup> tests. By logistic regression the association of the cluster-related variables and the vaccination status/preventive care variables were analyzed. <b>Results:</b> Significant differences in intact diphtheria immunization between the cohorts exist (cluster 1: 45.6%, cluster 2: 27.3%, cluster 3: 52.3%, control: 51.9%, <i>p</i>-value 0.047). Differences in intact tetanus (42.4% vs. 64%, <i>p</i> = 0.027) and diphtheria (27.3% vs. 51.9%, <i>p</i> = 0.013) immunization between cluster 2 and control cohort were investigated. Cluster 2 was negatively associated with tetanus (OR 0.83, <i>p</i> = 0.009) and diphtheria (OR 0.85, <i>p</i> = 0.018) immunization. Cluster 1 reports higher rates of fecal occult blood test (50.7% vs. 39.3%, <i>p</i> = 0.022) and cluster 2 reports a higher rate of colonoscopy (24.2% vs. 8.9%, <i>p</i> = 0.015) in comparison to the control cohort. <b>Conclusions</b>: A personalized medicine approach reveals that DM patients with specific comorbidity patterns, particularly those with hypertension, dyslipidemia, and obesity class II, have lower immunization rates-highlighting the need for targeted preventive strategies.

Authors

Institutions

Publication Details

Journal
Journal of Personalized Medicine
Published
2025-09-16
DOI
https://doi.org/10.3390/jpm15090441
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Michael Leutner, Alexandra Kautzky‐Willer, Teresa Gisinger
Journal of Personalized Medicine
Diabetes and associated disorders
article

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

Michael Leutner, Alexandra Kautzky‐Willer, Teresa Gisinger
article en

Abstract

<b>Background</b>: We investigated immunization status and preventive care among diabetes mellitus (DM) patients by stratifying them into clinically distinct risk clusters based on comorbidities, reflecting a personalized medicine approach. <b>Methods</b>: Using the Austrian health interview survey 2019, we identified four groups: cluster 1 (DM, arterial hypertension (aHTN), dyslipidemia; <i>n</i> = 215), cluster 2 (DM, aHTN, dyslipidemia, obesity class II; <i>n</i> = 33), cluster 3 (DM, aHTN, dyslipidemia, depression; <i>n</i> = 65), and a control cohort (DM without hyperlipidemia, hypertension, depression, or obesity class II; <i>n</i> = 214). The cohorts were compared by chi<sup>2</sup> tests. By logistic regression the association of the cluster-related variables and the vaccination status/preventive care variables were analyzed. <b>Results:</b> Significant differences in intact diphtheria immunization between the cohorts exist (cluster 1: 45.6%, cluster 2: 27.3%, cluster 3: 52.3%, control: 51.9%, <i>p</i>-value 0.047). Differences in intact tetanus (42.4% vs. 64%, <i>p</i> = 0.027) and diphtheria (27.3% vs. 51.9%, <i>p</i> = 0.013) immunization between cluster 2 and control cohort were investigated. Cluster 2 was negatively associated with tetanus (OR 0.83, <i>p</i> = 0.009) and diphtheria (OR 0.85, <i>p</i> = 0.018) immunization. Cluster 1 reports higher rates of fecal occult blood test (50.7% vs. 39.3%, <i>p</i> = 0.022) and cluster 2 reports a higher rate of colonoscopy (24.2% vs. 8.9%, <i>p</i> = 0.015) in comparison to the control cohort. <b>Conclusions</b>: A personalized medicine approach reveals that DM patients with specific comorbidity patterns, particularly those with hypertension, dyslipidemia, and obesity class II, have lower immunization rates-highlighting the need for targeted preventive strategies.

Journal of Personalized MedicineVol. 15(9)
Medical University of Vienna (AT)
Universität Wien, Medizinische Universität Wien
Openalex Percentile: Top 73%
Diabetes and associated disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.