Dataset Information

Cardiovascular health and chronic axonal polyneuropathy: A population-based study.

ABSTRACT:

Background and purpose

Chronic axonal polyneuropathy is a common, usually multifactorial, disease for which there is no treatment yet available. We investigated the association between cardiovascular health, defined by the health score of the American Heart Association, and chronic axonal polyneuropathy.

Methods

Between June 2013 and January 2017, we investigated participants of the Rotterdam Study, a population-based cohort study. Participants were screened for polyneuropathy and categorized as having no, possible, probable or definite polyneuropathy. The cardiovascular health score (range 0-14; higher score reflecting better health) consisted of four health behaviours (diet, physical activity, smoking and body mass index) and three health factors (blood pressure, serum cholesterol and fasting glucose level).

Results

We included 1919 participants, of whom 120 (6.3%) had definite polyneuropathy. The median (interquartile range [IQR]) age was 69.0 (58.6-73.7) years and 53.4% were women. A higher cardiovascular health score was associated with a lower prevalence of definite polyneuropathy (per point increase: odds ratio [OR] 0.90, 95% confidence interval [CI] 0.84-0.96). Optimal cardiovascular health (score≥10) was strongly associated with a lower prevalence of definite polyneuropathy (OR 0.55, 95% CI 0.32-0.90). An increase in health factors and health behaviour scores separately was associated with a lower prevalence of polyneuropathy (per point increase: OR 0.82, 95% CI 0.71-0.95 and OR 0.86, 95% CI 0.78-0.96, respectively). The association between a lower cardiovascular health score and lower sural nerve amplitude was not significant after correction for covariates (difference 0.07µV, 95% CI -0.02-0.17).

Conclusions

Better cardiovascular health, consisting of both modifiable health behaviours and health factors, is associated with a lower prevalence of chronic axonal polyneuropathy.

SUBMITTER: Taams NE

PROVIDER: S-EPMC8251905 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background and purposeChronic axonal polyneuropathy is a common disease, but the etiology remains only partially understood. Previous etiologic studies have identified clinical risk factors, but genetic evidence supporting causality between these factors and polyneuropathy are largely lacking. In this study, we investigate whether there is a genetic association of clinically established important risk factors (diabetes, body mass index [BMI], vitamin B12 levels, and alcohol intake) with chronic axonal polyneuropathy.MethodsThis study was performed within the population-based Rotterdam Study and included 1565 participants (median age = 73.6 years, interquartile range = 64.6-78.8, 53.5% female), of whom 215 participants (13.7%) had polyneuropathy. Polygenic scores (PGSs) for diabetes, BMI, vitamin B12 levels, and alcohol intake were calculated at multiple significance thresholds based on published genome-wide association studies.ResultsHigher PGSs of diabetes, BMI, and alcohol intake were associated with higher prevalence of chronic axonal polyneuropathy, whereas higher PGS of vitamin B12 levels was associated with lower prevalence of polyneuropathy. These effects were most pronounced for PGSs with lenient significance thresholds for diabetes and BMI (odds ratio [OR]diabetes, p < 1.0 = 1.21, 95% confidence interval [CI] = 1.05-1.39 and ORBMI, p < 1.0 = 1.21, 95% CI = 1.04-1.41) and for the strictest significance thresholds for vitamin B12 level and alcohol intake (OR vitamin B12, p < 5e-6 = 0.79, 95% CI = 0.68-0.92 and ORalcohol, p < 5e-8 = 1.17, 95% CI = 1.02-1.35). We did not find an association between different PGSs and sural sensory nerve action potential amplitude, nor between individual lead variants of PGSp < 5e-8 and polyneuropathy.ConclusionsThis study provides evidence for polygenic associations of diabetes, BMI, vitamin B12 level, and alcohol intake with chronic axonal polyneuropathy. This supports the hypothesis of causal associations between well-known clinical risk factors and polyneuropathy.

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