| Title: | Associations of polyneuropathy with risk of all-cause and cardiovascular mortality, cardiovascular disease events stratified by diabetes status |
| Journal: | Journal of Diabetes Investigation |
| Published: | 30 Jul 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37517075/ |
| DOI: | https://doi.org/10.1111/jdi.14063 |
| Citations: | 1 (1 in last 2 years) as of 8 Aug 2024 |
Publication 10293
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Abstract
AIMS/INTRODUCTION: We investigated the association of polyneuropathy (PN) with all-cause and cardiovascular (CV) mortality and with cardiovascular disease (CVD) events stratified by diabetes status.</p>
MATERIALS AND METHODS: This prospective cohort study used the UK Biobank. Polyneuropathy was defined based on nurse-led interviews or ICD codes for polyneuropathy. Cox proportional hazards models were used to investigate the association of polyneuropathy with clinical outcomes.</p>
RESULTS: A total of 459,127 participants were included in the analysis. Polyneuropathy was significantly associated with all-cause and cardiovascular mortality, and with CVD events even after adjusting for CVD risk factors across all diabetes statuses. Metabolic parameters HbA1c , waist circumference, BMI and the inflammatory parameter C-reactive protein showed significant mediation effects for the association between polyneuropathy and CVD. Adherence to a favorable lifestyle was associated with a lower risk of all-cause and cardiovascular mortality regardless of polyneuropathy status.</p>
CONCLUSIONS: Polyneuropathy was associated with all-cause and cardiovascular mortality, and with CVD events in subjects with diabetes or prediabetes, even those having normal glucose tolerance. This study suggests the importance of polyneuropathy as a risk factor for death and highlights the necessity of early diagnosis and lifestyle intervention for those with type 2 diabetes and polyneuropathy.</p>
5 Authors
- Kyuho Kim
- Su-Nam Lee
- Yu-Bae Ahn
- Seung-Hyun Ko
- Jae-Seung Yun
1 Application
| Application ID | Title |
|---|---|
| 67855 | Development and validation of a comprehensive predictive model for diabetes complications |
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