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Relationship between hysterectomy and stroke in National Health and Nutrition Examination Survey (NHANES) 2007–2018: a cross-sectional study
BACKGROUND: Hysterectomy is the most common type of gynecological operation in the United States. However, complications can occur during or after the operation. Some studies suggest that hysterectomy may increase the risk of stroke. However, other studies have found different conclusions on this ma...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761150/ https://www.ncbi.nlm.nih.gov/pubmed/36544663 http://dx.doi.org/10.21037/atm-22-4681 |
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author | Cheng, Kun Liu, Xiaojun |
author_facet | Cheng, Kun Liu, Xiaojun |
author_sort | Cheng, Kun |
collection | PubMed |
description | BACKGROUND: Hysterectomy is the most common type of gynecological operation in the United States. However, complications can occur during or after the operation. Some studies suggest that hysterectomy may increase the risk of stroke. However, other studies have found different conclusions on this matter. This inconsistent conclusion may be due to small sample sizes or limited covariates. So, we sought to further investigate the correlation between hysterectomy and stroke. METHODS: Our analysis was based on the data from 2007–2018 National Health and Nutrition Examination Survey (NHANES). We excluded participants with missing hysterectomy data (Question “Have you had a hysterectomy, including a partial hysterectomy, that is, surgery to remove {your/her} uterus or womb?”), participants with missing stroke data (Question “Has a doctor or other health professional ever told you that you had a stroke?), a total of 15,241 participants were included in our analysis. To estimate the correlation between hysterectomy and stroke, logistic regression models were used after adjusting for sociodemographic and health-related factors, including age, race, education level, marital status, annual family income, body mass index (BMI), alcohol consumption in the past 12 months, having smoked at least 100 cigarettes in a lifetime, hypertension, hypercholesterolemia, and diabetes. RESULTS: The unadjusted model suggests that women who had undergone a hysterectomy were 3.15 [95% confidence interval (CI): 2.67–3.71] times more likely to have a stroke than women who had not undergone a hysterectomy. In the crude and fully-adjusted models, the correlation between hysterectomy and stroke was consistent [odds ratio (OR)(crude-adjusted) =1.55 (95% CI: 1.30–1.85), OR(fully-adjusted) =1.36 (95% CI: 1.14–1.63)]. In the subgroup analysis stratified by age, hysterectomy seemed to have more risk for stroke occurrence regardless of subgroup, even after adjusting sociodemographic and health-related factors. Interestingly, the women who were less than or equal to 50 years old had greater odds of stroke (OR(fully-adjusted) =1.96) compared with women who were aged older than 50 (OR(fully-adjusted) =1.42). CONCLUSIONS: In our study, we concluded hysterectomy may increase the risk of stroke. However, as our study is a cross-sectional study and unmeasured covariates may still exist, more researches are required to confirm this conclusion. |
format | Online Article Text |
id | pubmed-9761150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-97611502022-12-20 Relationship between hysterectomy and stroke in National Health and Nutrition Examination Survey (NHANES) 2007–2018: a cross-sectional study Cheng, Kun Liu, Xiaojun Ann Transl Med Original Article BACKGROUND: Hysterectomy is the most common type of gynecological operation in the United States. However, complications can occur during or after the operation. Some studies suggest that hysterectomy may increase the risk of stroke. However, other studies have found different conclusions on this matter. This inconsistent conclusion may be due to small sample sizes or limited covariates. So, we sought to further investigate the correlation between hysterectomy and stroke. METHODS: Our analysis was based on the data from 2007–2018 National Health and Nutrition Examination Survey (NHANES). We excluded participants with missing hysterectomy data (Question “Have you had a hysterectomy, including a partial hysterectomy, that is, surgery to remove {your/her} uterus or womb?”), participants with missing stroke data (Question “Has a doctor or other health professional ever told you that you had a stroke?), a total of 15,241 participants were included in our analysis. To estimate the correlation between hysterectomy and stroke, logistic regression models were used after adjusting for sociodemographic and health-related factors, including age, race, education level, marital status, annual family income, body mass index (BMI), alcohol consumption in the past 12 months, having smoked at least 100 cigarettes in a lifetime, hypertension, hypercholesterolemia, and diabetes. RESULTS: The unadjusted model suggests that women who had undergone a hysterectomy were 3.15 [95% confidence interval (CI): 2.67–3.71] times more likely to have a stroke than women who had not undergone a hysterectomy. In the crude and fully-adjusted models, the correlation between hysterectomy and stroke was consistent [odds ratio (OR)(crude-adjusted) =1.55 (95% CI: 1.30–1.85), OR(fully-adjusted) =1.36 (95% CI: 1.14–1.63)]. In the subgroup analysis stratified by age, hysterectomy seemed to have more risk for stroke occurrence regardless of subgroup, even after adjusting sociodemographic and health-related factors. Interestingly, the women who were less than or equal to 50 years old had greater odds of stroke (OR(fully-adjusted) =1.96) compared with women who were aged older than 50 (OR(fully-adjusted) =1.42). CONCLUSIONS: In our study, we concluded hysterectomy may increase the risk of stroke. However, as our study is a cross-sectional study and unmeasured covariates may still exist, more researches are required to confirm this conclusion. AME Publishing Company 2022-11 /pmc/articles/PMC9761150/ /pubmed/36544663 http://dx.doi.org/10.21037/atm-22-4681 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Cheng, Kun Liu, Xiaojun Relationship between hysterectomy and stroke in National Health and Nutrition Examination Survey (NHANES) 2007–2018: a cross-sectional study |
title | Relationship between hysterectomy and stroke in National Health and Nutrition Examination Survey (NHANES) 2007–2018: a cross-sectional study |
title_full | Relationship between hysterectomy and stroke in National Health and Nutrition Examination Survey (NHANES) 2007–2018: a cross-sectional study |
title_fullStr | Relationship between hysterectomy and stroke in National Health and Nutrition Examination Survey (NHANES) 2007–2018: a cross-sectional study |
title_full_unstemmed | Relationship between hysterectomy and stroke in National Health and Nutrition Examination Survey (NHANES) 2007–2018: a cross-sectional study |
title_short | Relationship between hysterectomy and stroke in National Health and Nutrition Examination Survey (NHANES) 2007–2018: a cross-sectional study |
title_sort | relationship between hysterectomy and stroke in national health and nutrition examination survey (nhanes) 2007–2018: a cross-sectional study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761150/ https://www.ncbi.nlm.nih.gov/pubmed/36544663 http://dx.doi.org/10.21037/atm-22-4681 |
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