The causality of atrial fibrillation on frailty index: A Mendelian randomization study

Prior epidemiological research has indicated a possible association between atrial fibrillation (AF) and frailty status. Our study used Mendelian randomization to estimate its causality. The genome-wide association studies for AF were utilized as the exposure for individuals included in the UK Biobank (n = 463,010) and publicly available summary statistics data sets of genome-wide association studies meta-analyses for frailty index in individuals of European descent (n = 175,226) was used as the outcome. The inverse variance weighting method was utilized to evaluate causality. To further confirm the reliability of the results, sensitivity analyses were conducted. The inverse variance weighting analysis indicated that the presence of AF was found to be statistically linked to an increased risk of frailty (odds ratio = 3.017, CI: 1.106-8.232, P = .031). MR-Egger intercept test indicated no pleiotropy (Egger intercept = .002, P = .808). The leave-one-out method indicated that the individual SNPs did not have an impact on the robustness of the findings. The research implies a causal relationship between AF and frailty. Early detection and timely intervention of AF can control the occurrence of frailty.

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Publication Details

Journal
Medicine
Published
2024-08-16
DOI
https://doi.org/10.1097/md.0000000000037948
Citations
1
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
0.34

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article

The causality of atrial fibrillation on frailty index: A Mendelian randomization study

Shoulei Chen, Cheng Luo, Baoshi Zheng
1 citations
Medicine
Frailty in Older Adults
0.34
article

The causality of atrial fibrillation on frailty index: A Mendelian randomization study

Shoulei Chen, Cheng Luo, Baoshi Zheng
article en
1 citations

Abstract

Prior epidemiological research has indicated a possible association between atrial fibrillation (AF) and frailty status. Our study used Mendelian randomization to estimate its causality. The genome-wide association studies for AF were utilized as the exposure for individuals included in the UK Biobank (n = 463,010) and publicly available summary statistics data sets of genome-wide association studies meta-analyses for frailty index in individuals of European descent (n = 175,226) was used as the outcome. The inverse variance weighting method was utilized to evaluate causality. To further confirm the reliability of the results, sensitivity analyses were conducted. The inverse variance weighting analysis indicated that the presence of AF was found to be statistically linked to an increased risk of frailty (odds ratio = 3.017, CI: 1.106-8.232, P = .031). MR-Egger intercept test indicated no pleiotropy (Egger intercept = .002, P = .808). The leave-one-out method indicated that the individual SNPs did not have an impact on the robustness of the findings. The research implies a causal relationship between AF and frailty. Early detection and timely intervention of AF can control the occurrence of frailty.

MedicineVol. 103(33)
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 40%
Frailty in Older Adults
0.34
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