Association between anemia and stroke with its subtypes in adults: Insights from NHANES 2005–2016 and Mendelian randomization analyses

Stroke and anemia are both prevalent conditions with significant health burdens, yet their bidirectional relationship remains poorly understood. Anemia affects up to 29 % of stroke patients and is associated with increased worse outcomes. However, the causal nature of this association, particularly concerning different anemia subtypes, remains controversial, and there is a lack of clear targets and specific treatments for anemia in stroke patients. This study employed data from National Health and Nutrition Examination Survey (NHANES) database and two sample Mendelian randomization (MR) to investigate the relationship between different types of anemia, particularly aplastic anemia (AA) and iron deficiency anemia (IDA), and the risk of stroke and its subtypes in adults. The study included 7931 participants (3824 male and 4107 female) from NHANES (2005-2016). After adjusting for all covariates, the exposure factor of stroke was significantly positively correlated with the risk of anemia in middle-aged and elderly females, while in males, although the correlation was not significant, it was close to the threshold (OR = 1.66, 95 % CI = 0.987-2.78, P = 0.0558 in male. OR = 2.36, 95 % CI = 1.35-4.14, P < 0.01 in female at model 3). Genetically instrumented total anemia risk was nominally associated with risk of stroke (P = 0.086), IDA (OR = 1.413, ARI = 0.0407, 95 % CI = 1.318-1.515, P < 0.001) and AA (OR = 1.057, ARI = 0.0058, 95 % CI = 1.002-1.116, P = 0.04) were significantly associated with stroke risk. Furthermore, both genetic instrumented IDA and AA were significantly associated with an increased risk of large artery stroke but not with other stroke subtypes, in a unidirectional manner. The reverse MR analyses showed that genetically predicted stroke risk also associated with increased risk of total anemia (OR = 1.005, ARI =0.0050, 95 % CI = 1.003-1.007, P < 0.001), as well as with subtypes of anemia (IDA: OR = 1.038, ARI =0.0366, 95 % CI = 1.002-1.075, P = 0.037; AA: OR = 1.240, ARI =0.1935, 95 % CI = 1.062-1.447, P = 0.012). In conclusion, a bidirectional association between increased risk of two types of anemia and elevated stroke risk was observed, with varying magnitudes of effect. Randomized trials are now needed to assess the effects of different treatments for anemia on stroke and its subtypes, particularly in high-risk older individuals.

Authors

Institutions

Publication Details

Journal
Experimental Gerontology
Published
2025-10-04
DOI
https://doi.org/10.1016/j.exger.2025.112916
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between anemia and stroke with its subtypes in adults: Insights from NHANES 2005–2016 and Mendelian randomization analyses

Xiao‐Bing Gao, Johan Rebetz, Puzhou Wang, Joaquín Martínez‐López et al.
Experimental Gerontology
Genetic Associations and Epidemiology
article

Association between anemia and stroke with its subtypes in adults: Insights from NHANES 2005–2016 and Mendelian randomization analyses

Xiao‐Bing Gao, Johan Rebetz, Puzhou Wang, Joaquín Martínez‐López, Jianhua Peng, Wenjuan Gao, Elisabeth Semple, John W. Semple, Shuqian Xu, Shuai Wang, Qian Li, Yuying Wei, Li Guo
article en

Abstract

Stroke and anemia are both prevalent conditions with significant health burdens, yet their bidirectional relationship remains poorly understood. Anemia affects up to 29 % of stroke patients and is associated with increased worse outcomes. However, the causal nature of this association, particularly concerning different anemia subtypes, remains controversial, and there is a lack of clear targets and specific treatments for anemia in stroke patients. This study employed data from National Health and Nutrition Examination Survey (NHANES) database and two sample Mendelian randomization (MR) to investigate the relationship between different types of anemia, particularly aplastic anemia (AA) and iron deficiency anemia (IDA), and the risk of stroke and its subtypes in adults. The study included 7931 participants (3824 male and 4107 female) from NHANES (2005-2016). After adjusting for all covariates, the exposure factor of stroke was significantly positively correlated with the risk of anemia in middle-aged and elderly females, while in males, although the correlation was not significant, it was close to the threshold (OR = 1.66, 95 % CI = 0.987-2.78, P = 0.0558 in male. OR = 2.36, 95 % CI = 1.35-4.14, P < 0.01 in female at model 3). Genetically instrumented total anemia risk was nominally associated with risk of stroke (P = 0.086), IDA (OR = 1.413, ARI = 0.0407, 95 % CI = 1.318-1.515, P < 0.001) and AA (OR = 1.057, ARI = 0.0058, 95 % CI = 1.002-1.116, P = 0.04) were significantly associated with stroke risk. Furthermore, both genetic instrumented IDA and AA were significantly associated with an increased risk of large artery stroke but not with other stroke subtypes, in a unidirectional manner. The reverse MR analyses showed that genetically predicted stroke risk also associated with increased risk of total anemia (OR = 1.005, ARI =0.0050, 95 % CI = 1.003-1.007, P < 0.001), as well as with subtypes of anemia (IDA: OR = 1.038, ARI =0.0366, 95 % CI = 1.002-1.075, P = 0.037; AA: OR = 1.240, ARI =0.1935, 95 % CI = 1.062-1.447, P = 0.012). In conclusion, a bidirectional association between increased risk of two types of anemia and elevated stroke risk was observed, with varying magnitudes of effect. Randomized trials are now needed to assess the effects of different treatments for anemia on stroke and its subtypes, particularly in high-risk older individuals.

Experimental GerontologyVol. 211
Lund University (SE), Bloodworks Northwest (US), Research Institute Hospital 12 de Octubre (ES), Shandong Provincial Hospital (CN), Qilu Hospital of Shandong University (CN), Shandong First Medical University (CN)
Openalex Percentile: Top 71%
Genetic Associations and Epidemiology
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.