Association between Statin use and the risk of atrial fibrillation in community-dwelling older people in Shanghai, China:a propensity score-matched study

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Abstract Objective: Whether statins prevent atrial fibrillation remains unclear. In particular, the data on the elderly are limited. Thus we investigated the association between statin use and the risk of atrial fibrillation (AF) in community-dwelling older people in Shanghai ,China. Methods: This registry-based cohort study was conducted in one community in Shanghai. Participants without history of AF were enrolled in this study, then new-onset of AF was recorded and evaluated in the followed three years. Poisson generalized linear models were conducted to examine the association between statin therapy and the incidence of AF. All analysis were performed with both conventional adjustment and propensity score matching methods. Univariate and multivariate regression analysis were performed to evaluate the risk factor of AF in community-dwelling older people Results: In the cohort of 5675 participants (43.5% men; median age, 68.0 years), 456 (8.0%) were treated with stains. Two propensity score-matched cohorts of 453 participants (with or without statin treatment) were analyzed, in respectively. Statin use did not reduce the proportion of atrial fibrillation incidence, with hazard ratios (HRs) and 95% confidence intervals (CIs) of 0.982(0.948 to 1.018) (p>0.05) in the unmatched cohort and 0.833 (0.459 to 1.512) (p>0.05) in the matched cohort. The result of multivariate regression analysis showed that age, systolic blood pressure (SBP), BMI, Serum creatinine (Scr), total cholesterol (TC),were the independent risk factors of the new onset of AF. Conclusion: Older age, SBP, BMI, Scr, TC, were independent predictors of AF onset. However, statin use was not associated with a decreased risk of atrial fibrillation incidence of AF in the elderly.
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Association between Statin use and the risk of atrial fibrillation in community-dwelling older people in Shanghai, China:a propensity score-matched study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Association between Statin use and the risk of atrial fibrillation in community-dwelling older people in Shanghai, China:a propensity score-matched study Tiantian Deng, Fei Sheng, Ziqiang Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4354297/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 25 Sep, 2025 Read the published version in BMC Public Health → Version 1 posted 15 You are reading this latest preprint version Abstract Objective: Whether statins prevent atrial fibrillation remains unclear. In particular, the data on the elderly are limited. Thus we investigated the association between statin use and the risk of atrial fibrillation (AF) in community-dwelling older people in Shanghai ,China. Methods: This registry-based cohort study was conducted in one community in Shanghai. Participants without history of AF were enrolled in this study, then new-onset of AF was recorded and evaluated in the followed three years. Poisson generalized linear models were conducted to examine the association between statin therapy and the incidence of AF. All analysis were performed with both conventional adjustment and propensity score matching methods. Univariate and multivariate regression analysis were performed to evaluate the risk factor of AF in community-dwelling older people Results: In the cohort of 5675 participants (43.5% men; median age, 68.0 years), 456 (8.0%) were treated with stains. Two propensity score-matched cohorts of 453 participants (with or without statin treatment) were analyzed, in respectively. Statin use did not reduce the proportion of atrial fibrillation incidence, with hazard ratios (HRs) and 95% confidence intervals (CIs) of 0.982(0.948 to 1.018) (p>0.05) in the unmatched cohort and 0.833 (0.459 to 1.512) (p>0.05) in the matched cohort. The result of multivariate regression analysis showed that age, systolic blood pressure (SBP), BMI, Serum creatinine (Scr), total cholesterol (TC),were the independent risk factors of the new onset of AF. Conclusion: Older age, SBP, BMI, Scr, TC, were independent predictors of AF onset. However, statin use was not associated with a decreased risk of atrial fibrillation incidence of AF in the elderly. atrial fibrillation statins community-dwelling older people Figures Figure 1 Figure 2 Background Atrial fibrillation (AF) is the most common arrhythmia in adults and its prevalence is increasing rapidly. A nationwide survey of adults in China about AF prevalence showed that AF prevalence was 1.8%, but it varied according to the geographical regions[ 1 ] .AF is associated with increased cardiovascular morbidity and mortality, with stroke being an important and potentially devastating complication[ 2 ]. Available drug therapy for atrial fibrillation has major limitations, such as low blood pressure, bradycardia, cardiac arrest[ 2 ] Hence, there is growing interest among researchers in seeking improved therapeutic approaches regarding AF. Statins as the newly upstream drug, the effects in AF is associated with the multiple mechanisms[ 3 ] [ 4 ]. Such as, statins can improve vascular endothelial function in order to alleviate atrial tissue ischemia reducing the incidence of AF, statins can remodel the electrical and modulate inflammation [ 5 , 6 ].Although some studies have shown the existence of protective effect, the role of statins in the primary prevention of atrial fibrillation remains controversial [ 7 , 8 ]. The study population and research methods may be the reasons for the different results. As far as we know, the study concerning statin effects of AF in the elderly are few, and the result of the studies remain debate. The primary aim of the study was to determine whether statin use could reduce new-onset AF in elder patients. Second, we assessed predictors of new-onset AF of the elderly in dwell-community. Materials and methods Study Design and Participants Data of this study were obtained from the Physical Examination System of Community Health Service Center. Free medical physical examination services are provided annually to community-dwelling people aged ≥ 60 years in Shanghai, China. We obtained the electronic medical records of health examinations from the Physical Examination System in 2018,2019,2020,2021. Given the focus of this study, we assembled a cohort, with participants who being not with AF in 2018 eligible for the baseline study and has no history of AF before. Follow-up was conducted in 2019, 2020, 2021 and new-onset AF during follow-up was recorded. New-onset AF adjudicated by a standard 12-lead electrocardiogram at a core laboratory reading center. Therefore, using the physical examination data from 2018 to 2021, we analyzed the relationship of satin prescription with new-onset in both stain users and nonusers. Then we explore the risk factors of new-onset AF in the elder people. All procedures were performed in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Shanghai Pudong Hospital, Fudan University. Written consent was obtained from each participant after they had been informed of the objectives, benefits, medical items, and confidentiality of personal information. Participants were eligible for the study if they (1)were ≥ 60 years old, (2) had a Shanghai household registration or were resident in this community for more than three years,(3)without AF or AF history and (4)had complete baseline data in 2018 and 12-lead electrocardiogram at a core laboratory reading center in 2019,2020,2021.Exclusion criteria included (1) with AF in 2018 and a history of AF,(2) incomplete baseline data provided in 2018,(3)presence of severe mental illness, cognitive impairment or malignant tumors in 2018, and (4) incomplete 12-lead electrocardiogram at a core laboratory reading center provided in 2019,2020,2021(Fig. 1) Data Collection and Outcome Measures For each patient, comprehensive data were extracted from electronic medical records. Medical records included participant demographics (age and sex), body mass index (BMI), waist-to-hip ratio(WHR), systolic blood pressure (SBP) and diastolic blood pressure (DBP), history of smoking and drinking. We also collected information on participant clinical data ( including the prescription of angina-ten, sin-converting-enzyme inhibitor/angiotensin receptor blockers[ACEIs/ARBs]), calcium channel blockers[CCBs], beta-blocker, diuretics, and antidiabetic drugs, and medical history of hypertension and diabetes mellitus) and laboratory data (including glycated hemoglobin [HbA1c], fasting plasma glucose[FPG], total cholesterol [TC], triglyceride [TG], high-density lipoprotein [HDL], low-density lipoprotein [LDL], aspartate transaminase [AST], alanine transaminase [ALT],blood urea nitrogen[BUN],total bilirubin[TBIL],uric acid [UA] and serum creatinine [Scr] ), Neutrophil percentage(N%), Lymphocyte percentage(L%). New-onset AF was defined as 12-lead electrocardiogram test manifested with AF in the follow up year and had no history of AF. Statistical analysis To reduce potential confounding and selection bias, we use the propensity score-matching method. propensity scores were calculated through a logistic regression model, with statin users versus nonusers as the dependent variable and covariates measured at baseline as independent variables(Table 1). Matched pairs were obtained using a greedy nearest-neighbor matching algorithm(1:1 ratio, without replacement ) and with a caliper width equal to 0.2 of the SD of the logit of the propensity score. A standardized difference of less than 0.1 was used to indicate a negligible difference in covariates between the groups. Poisson generalized linear models were conducted to explore the association between statin use and new-onset AF rates. Univariate binary logistic regression analysis( P <0.1 was considered as significant) and multivariate logistic regression analysis ( P <0.05 was considered as significant)were performed to test the predictor of the new-onset of the community dwelling older people. Statistical analysis was performed by SPSS (NY, USA). Results New-on set of AF and effect of statin treatment The study cohort comprised 5675 older Chinese people. Their median age was 67(64, 71) years old, and 2467 (34%) were men. Statins were prescribed to 8.03% (456 of 5675) of the participants. Compared with the nonstatin use group, the statin use group had a higher prevalence of female participants, ARB/ACEI drugs, Beta-blockers drugs, Diuretic drugs, CCBs drugs, higher rate of drinking history, higher levels of AST, LDL-c, TC, median age and had a lower rate of smoking history, the antidiabetic drugs, lower level of FPG. Two propensity score-matched cohorts of 453 participants were defined according to statin use and analyzed. After propensity score matching, no significant differences in baseline characteristics were found between statin and nonstatin groups (Table 1). Participants were followed up for 3 years. The incidences of new-onset AF for one, two, and three times were 3.7% (17of 456), 1.1% (5 of 456), an 0.9% (3of 456) in the unmatched cohort for statin users, and 4.3% (223 of 5675), 1.4% (74of 5675), and 0.9% (45 of 5675) for nonusers (p = 0.73) (Fig. 2A). After propensity score matching, the incidences were 3.5% (16 of 453), 1.5% (7 of 453), and 0.9% (4 of 453) for non-statin users and 3.5% (16of 453), 1.1% (5 of 453), and 0.7% (3of 453) for statin-users (p = 0.698) (Fig. 2B). Poisson generalized linear analyses showed that statin use was not significantly associated with a decreased risk of new-onset AF, with hazard ratios (HRs) and 95% confidence intervals (CIs) of 0.982(0.948 to 1.018) (p>0.05) after adjustment for the covariates in the unmatched cohort and 0.833(0.459to 1.512) (p>0.05) in the matched cohort (Table 2) Other predictors of new-onset AF To identify the most important factors associated with new-onset AF of the community old people, we made Univariate and Multivariate regression analysis to explore the risk factor of AF in community-dwelling older people. Univariate analysis result showed that sex, age, SBP, BMI, WHR, Scr, HbA1c were significantly different between the AF group and non-AF group. Sex, age, SBP, BMI, Scr, TC were the independent risk factors for the AF of old people Discussion The role of statin in atrial fibrillation is controversial. Differences in the study population and methodology, as well as the number of years of follow-up, may have contributed to the different results of the studies. In the present study, we used both a conventional adjustment method and propensity score-matching method to evaluate the association between statin prescription and new-onset AF in community-dwelling older people. This study has shown that statin use was not associated with a decreased risk of new-onset AF with HRs (95% CIs) of 0.982(0.948 to 1.018)(p>0.05) in the unmatched cohort and 0.833(0.459 to 1.512) (p>0.05) in the matched cohort. Our study result was consistent with a meta-analysis by Fauchier et al. of nine RCTs, statin therapy had no beneficial effect on primary prevention of AF (OR: 1.00, 95% CI: 0.86–1.15)[ 9 ]. And the result of a retrospective study including individuals between 70 and 82 years of age with a history of established vascular disease also showed pravastatin had no effect on primary prevention of AF [ 10 ]. Perioperative statin therapy did not prevent postoperative atrial fibrillation in patients undergoing elective cardiac surgery. Acute kidney injury was more common with rosuvastatin[ 11 ].Statins have been shown to reduce the incidence of postoperative atrial fibrillation in perioperative cardiac patients in previous studies [ 12 ] [ 13 ], and meta-analyses have shown that statin use in electrically cardioverted patients also reduces the recurrence of atrial fibrillation [ 14 ]. Statins can reduce the risk of atrial fibrillation in patients with chronic kidney disease[ 15 ], they are effective in reducing new-onset atrial fibrillation in people with a first myocardial infarction[ 16 ], and high-dose atorvastatin is effective in preventing new-onset atrial fibrillation in patients with a previous stroke[ 17 ]. Previous studies have shown that the type of statin dose and duration of statin application may also be important in determining whether statins are effective. Overall, the effectiveness of statins in treating and preventing the onset of disease is controversial. In the present study, it might be showed that the treatment period was not enough to show any benefit. However, Fig. 1 demonstrates that during and at the end of 3 years, there was a very similar incidence of AF in the matched and unmatched groups, with no suggestion of a trend in favor of either group that might have continued significance in a longer study of the old people. Our study does not indicate whether the type and dose of statin will have an effect on whether the incidence of atrial fibrillation in older people in the community. In addition, we analysed the risk factors for new onset of AF in the elderly and showed that age, gender, systolic blood pressure, BMI, blood creatinine, and total cholesterol were independent risk factors for new onset of AF in the elderly. As we all know, age and gender are the risk factors for the AF [ 2 ], cohort study meta-analysis showed that BMI also associated with the incidence of AF, Study shows significant correlation between obesity and the development of atrial fibrillation[ 18 ] [ 19 ] [ 20 ]. In our study, we found that blood creatinine is the independent risk factor of AF in the elderly, Some studies suggest that reduced kidney function is a risk factor for atrial fibrillation[ 21 ]. At the same time, there are some limitations of the study. First, we could not conclude whether the association depended on the type of statin, the dose, or the duration of treatment, so more research is needed to clarify the type of statin in future studies to confirm the association of statins with new-onset atrial fibrillation in community-dwelling elderly populations. Second, this was a retrospective observational study, which is not a perfect substitute for a randomized trial. Finally, our results were obtained from one community in Shanghai and are therefore insufficient to generalize to China as a whole. Therefore, further validation of studies involving other regions would better reflect the results of a nationwide population. Conclusions The results of this study suggest that statin use was not associated with a decreased risk of new-onset AF in community-dwelling older people in Shanghai, China. Further randomized controlled studies are needed to confirm the AF efficacy of statins among community-dwelling older people. Abbreviations AF atrial fibrillation Scr serum creatinine BMI body mass index WHR waist-to-hip ratio SBP systolic blood pressure DBP diastolic blood pressure ACEIs/ARBs angiotensin converting-enzyme inhibitors/angiotensin receptor blockers CCBs calcium channel blockers HbA1c glycated hemoglobin FPG fasting plasma glucose TC total cholesterol TG triglycerides HDL high-density lipoprotein LDL low density lipoprotein AST aspartate transaminase ALT alanine transaminase BUN blood urea nitrogen TBIL total bilirubin UA uric acid HR hazard ratio CI confidence interval HMG-CoA hydroxymethylglutaryl-CoA. Declarations Data Sharing Statement All the data supporting the study findings are within the manuscript. Addition detailed information and raw data are Available from the corresponding author on reasonable request. Ethics Approval and Informed Consent The study was performed in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Shanghai Pudong Hospital, Fudan University. Written consent was obtained from each participant after they had been informed of the objectives, benefits, medical items, and confidentiality of personal information. Funding No funding Acknowledgments We thank all participants for their dedication to the study. Author Contributions All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work. Conflicts The authors report no conflicts of interest in this work. 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Bang CN, Gislason GH, Greve AM, Torp-Pedersen C, Kober L, Wachtell K: Statins reduce new-onset atrial fibrillation in a first-time myocardial infarction population: a nationwide propensity score-matched study. European Journal of Preventive Cardiology 2014, 21(3):330-338. Schwartz GG, Chaitman BR, Goldberger JJ, Messig M: High-dose atorvastatin and risk of atrial fibrillation in patients with prior stroke or transient ischemic attack: Analysis of the Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL) trial. American Heart Journal 2011, 161(5):993-999. Middeldorp ME, Kamsani SH, Sanders P: Obesity and atrial fibrillation: Prevalence, pathogenesis, and prognosis . Progress in Cardiovascular Diseases 2023, 78 :34-42. Limpitikul WB, Das S: Obesity-Related Atrial Fibrillation: Cardiac Manifestation of a Systemic Disease . Journal of Cardiovascular Development and Disease 2023, 10 (8). Shu H, Cheng J, Li N, Zhang Z, Nie J, Peng Y, Wang Y, Wang DW, Zhou N: Obesity and atrial fibrillation: a narrative review from arrhythmogenic mechanisms to clinical significance . Cardiovascular Diabetology 2023, 22 (1). Laukkanen JA, Zaccardi F, Karppi J, Ronkainen K, Kurl S: Reduced kidney function is a risk factor for atrial fibrillation . Nephrology 2016, 21 (8):717-720. Tables Tables 1 to 4 are available in the Supplementary Files section Additional Declarations No competing interests reported. Supplementary Files Table1.jpg Table2.jpg Table3.jpg Table4.jpg Cite Share Download PDF Status: Published Journal Publication published 25 Sep, 2025 Read the published version in BMC Public Health → Version 1 posted Editorial decision: Revision requested 10 Apr, 2025 Reviews received at journal 23 Mar, 2025 Reviewers agreed at journal 17 Mar, 2025 Reviewers agreed at journal 13 Mar, 2025 Reviewers agreed at journal 04 Mar, 2025 Reviews received at journal 04 Mar, 2025 Reviewers agreed at journal 04 Mar, 2025 Reviewers agreed at journal 30 Aug, 2024 Reviews received at journal 27 Aug, 2024 Reviewers agreed at journal 17 Aug, 2024 Reviewers invited by journal 16 Aug, 2024 Editor invited by journal 17 May, 2024 Submission checks completed at journal 04 May, 2024 Editor assigned by journal 04 May, 2024 First submitted to journal 01 May, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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A nationwide survey of adults in China about AF prevalence showed that AF prevalence was 1.8%, but it varied according to the geographical regions[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e] .AF is associated with increased cardiovascular morbidity and mortality, with stroke being an important and potentially devastating complication[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Available drug therapy for atrial fibrillation has major limitations, such as low blood pressure, bradycardia, cardiac arrest[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e] Hence, there is growing interest among researchers in seeking improved therapeutic approaches regarding AF. Statins as the newly upstream drug, the effects in AF is associated with the multiple mechanisms[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e] [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Such as, statins can improve vascular endothelial function in order to alleviate atrial tissue ischemia reducing the incidence of AF, statins can remodel the electrical and modulate inflammation [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].Although some studies have shown the existence of protective effect, the role of statins in the primary prevention of atrial fibrillation remains controversial [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. The study population and research methods may be the reasons for the different results.\u003c/p\u003e \u003cp\u003eAs far as we know, the study concerning statin effects of AF in the elderly are few, and the result of the studies remain debate. The primary aim of the study was to determine whether statin use could reduce new-onset AF in elder patients. Second, we assessed predictors of new-onset AF of the elderly in dwell-community.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cp\u003eStudy Design and Participants\u003c/p\u003e \u003cp\u003eData of this study were obtained from the Physical Examination System of Community Health Service Center. Free medical physical examination services are provided annually to community-dwelling people aged\u0026thinsp;\u0026ge;\u0026thinsp;60 years in Shanghai, China. We obtained the electronic medical records of health examinations from the Physical Examination System in 2018,2019,2020,2021. Given the focus of this study, we assembled a cohort, with participants who being not with AF in 2018 eligible for the baseline study and has no history of AF before. Follow-up was conducted in 2019, 2020, 2021 and new-onset AF during follow-up was recorded. New-onset AF adjudicated by a standard 12-lead electrocardiogram at a core laboratory reading center. Therefore, using the physical examination data from 2018 to 2021, we analyzed the relationship of satin prescription with new-onset in both stain users and nonusers. Then we explore the risk factors of new-onset AF in the elder people. All procedures were performed in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Shanghai Pudong Hospital, Fudan University. Written consent was obtained from each participant after they had been informed of the objectives, benefits, medical items, and confidentiality of personal information.\u003c/p\u003e \u003cp\u003eParticipants were eligible for the study if they (1)were \u0026ge;\u0026thinsp;60 years old, (2) had a Shanghai household registration or were resident in this community for more than three years,(3)without AF or AF history and (4)had complete baseline data in 2018 and 12-lead electrocardiogram at a core laboratory reading center in 2019,2020,2021.Exclusion criteria included (1) with AF in 2018 and a history of AF,(2) incomplete baseline data provided in 2018,(3)presence of severe mental illness, cognitive impairment or malignant tumors in 2018, and (4) incomplete 12-lead electrocardiogram at a core laboratory reading center provided in 2019,2020,2021(Fig.\u0026nbsp;1)\u003c/p\u003e \u003cp\u003eData Collection and Outcome Measures\u003c/p\u003e \u003cp\u003eFor each patient, comprehensive data were extracted from electronic medical records. Medical records included participant demographics (age and sex), body mass index (BMI), waist-to-hip ratio(WHR), systolic blood pressure (SBP) and diastolic blood pressure (DBP), history of smoking and drinking. We also collected information on participant clinical data ( including the prescription of angina-ten, sin-converting-enzyme inhibitor/angiotensin receptor blockers[ACEIs/ARBs]), calcium channel blockers[CCBs], beta-blocker, diuretics, and antidiabetic drugs, and medical history of hypertension and diabetes mellitus) and laboratory data (including glycated hemoglobin [HbA1c], fasting plasma glucose[FPG], total cholesterol [TC], triglyceride [TG], high-density lipoprotein [HDL], low-density lipoprotein [LDL], aspartate transaminase [AST], alanine transaminase [ALT],blood urea nitrogen[BUN],total bilirubin[TBIL],uric acid [UA] and serum creatinine [Scr] ), Neutrophil percentage(N%), Lymphocyte percentage(L%).\u003c/p\u003e \u003cp\u003eNew-onset AF was defined as 12-lead electrocardiogram test manifested with AF in the follow up year and had no history of AF.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eTo reduce potential confounding and selection bias, we use the propensity score-matching method. propensity scores were calculated through a logistic regression model, with statin users versus nonusers as the dependent variable and covariates measured at baseline as independent variables(Table\u0026nbsp;1). Matched pairs were obtained using a greedy nearest-neighbor matching algorithm(1:1 ratio, without replacement ) and with a caliper width equal to 0.2 of the SD of the logit of the propensity score. A standardized difference of less than 0.1 was used to indicate a negligible difference in covariates between the groups.\u003c/p\u003e \u003cp\u003ePoisson generalized linear models were conducted to explore the association between statin use and new-onset AF rates. Univariate binary logistic regression analysis(\u003cem\u003eP\u003c/em\u003e\u0026lt;0.1 was considered as significant) and multivariate logistic regression analysis (\u003cem\u003eP\u003c/em\u003e\u0026lt;0.05 was considered as significant)were performed to test the predictor of the new-onset of the community dwelling older people. Statistical analysis was performed by SPSS (NY, USA).\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eNew-on set of AF and effect of statin treatment\u003c/p\u003e \u003cp\u003eThe study cohort comprised 5675 older Chinese people. Their median age was 67(64, 71) years old, and 2467 (34%) were men. Statins were prescribed to 8.03% (456 of 5675) of the participants. Compared with the nonstatin use group, the statin use group had a higher prevalence of female participants, ARB/ACEI drugs, Beta-blockers drugs, Diuretic drugs, CCBs drugs, higher rate of drinking history, higher levels of AST, LDL-c, TC, median age and had a lower rate of smoking history, the antidiabetic drugs, lower level of FPG. Two propensity score-matched cohorts of 453 participants were defined according to statin use and analyzed. After propensity score matching, no significant differences in baseline characteristics were found between statin and nonstatin groups (Table\u0026nbsp;1). Participants were followed up for 3 years. The incidences of new-onset AF for one, two, and three times were 3.7% (17of 456), 1.1% (5 of 456), an 0.9% (3of 456) in the unmatched cohort for statin users, and 4.3% (223 of 5675), 1.4% (74of 5675), and 0.9% (45 of 5675) for nonusers (p\u0026thinsp;=\u0026thinsp;0.73) (Fig.\u0026nbsp;2A).\u003c/p\u003e \u003cp\u003eAfter propensity score matching, the incidences were 3.5% (16 of 453), 1.5% (7 of 453), and 0.9% (4 of 453) for non-statin users and 3.5% (16of 453), 1.1% (5 of 453), and 0.7% (3of 453) for statin-users (p\u0026thinsp;=\u0026thinsp;0.698) (Fig.\u0026nbsp;2B). Poisson generalized linear analyses showed that statin use was not significantly associated with a decreased risk of new-onset AF, with hazard ratios (HRs) and 95% confidence intervals (CIs) of 0.982(0.948 to 1.018) (p\u0026gt;0.05) after adjustment for the covariates in the unmatched cohort and 0.833(0.459to 1.512) (p\u0026gt;0.05) in the matched cohort (Table\u0026nbsp;2)\u003c/p\u003e \u003cp\u003eOther predictors of new-onset AF\u003c/p\u003e \u003cp\u003eTo identify the most important factors associated with new-onset AF of the community old people, we made Univariate and Multivariate regression analysis to explore the risk factor of AF in community-dwelling older people. Univariate analysis result showed that sex, age, SBP, BMI, WHR, Scr, HbA1c were significantly different between the AF group and non-AF group. Sex, age, SBP, BMI, Scr, TC were the independent risk factors for the AF of old people\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe role of statin in atrial fibrillation is controversial. Differences in the study population and methodology, as well as the number of years of follow-up, may have contributed to the different results of the studies.\u003c/p\u003e \u003cp\u003eIn the present study, we used both a conventional adjustment method and propensity score-matching method to evaluate the association between statin prescription and new-onset AF in community-dwelling older people. This study has shown that statin use was not associated with a decreased risk of new-onset AF with HRs (95% CIs) of 0.982(0.948 to 1.018)(p\u0026gt;0.05) in the unmatched cohort and 0.833(0.459 to 1.512) (p\u0026gt;0.05) in the matched cohort. Our study result was consistent with a meta-analysis by Fauchier et al. of nine RCTs, statin therapy had no beneficial effect on primary prevention of AF (OR: 1.00, 95% CI: 0.86\u0026ndash;1.15)[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. And the result of a retrospective study including individuals between 70 and 82 years of age with a history of established vascular disease also showed pravastatin had no effect on primary prevention of AF [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Perioperative statin therapy did not prevent postoperative atrial fibrillation in patients undergoing elective cardiac surgery. Acute kidney injury was more common with rosuvastatin[\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e].Statins have been shown to reduce the incidence of postoperative atrial fibrillation in perioperative cardiac patients in previous studies [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e] [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e], and meta-analyses have shown that statin use in electrically cardioverted patients also reduces the recurrence of atrial fibrillation [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Statins can reduce the risk of atrial fibrillation in patients with chronic kidney disease[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e], they are effective in reducing new-onset atrial fibrillation in people with a first myocardial infarction[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e], and high-dose atorvastatin is effective in preventing new-onset atrial fibrillation in patients with a previous stroke[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Previous studies have shown that the type of statin dose and duration of statin application may also be important in determining whether statins are effective. Overall, the effectiveness of statins in treating and preventing the onset of disease is controversial. In the present study, it might be showed that the treatment period was not enough to show any benefit. However, Fig.\u0026nbsp;1 demonstrates that during and at the end of 3 years, there was a very similar incidence of AF in the matched and unmatched groups, with no suggestion of a trend in favor of either group that might have continued significance in a longer study of the old people. Our study does not indicate whether the type and dose of statin will have an effect on whether the incidence of atrial fibrillation in older people in the community.\u003c/p\u003e \u003cp\u003eIn addition, we analysed the risk factors for new onset of AF in the elderly and showed that age, gender, systolic blood pressure, BMI, blood creatinine, and total cholesterol were independent risk factors for new onset of AF in the elderly. As we all know, age and gender are the risk factors for the AF [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e], cohort study meta-analysis showed that BMI also associated with the incidence of AF, Study shows significant correlation between obesity and the development of atrial fibrillation[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e] [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. In our study, we found that blood creatinine is the independent risk factor of AF in the elderly, Some studies suggest that reduced kidney function is a risk factor for atrial fibrillation[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAt the same time, there are some limitations of the study. First, we could not conclude whether the association depended on the type of statin, the dose, or the duration of treatment, so more research is needed to clarify the type of statin in future studies to confirm the association of statins with new-onset atrial fibrillation in community-dwelling elderly populations. Second, this was a retrospective observational study, which is not a perfect substitute for a randomized trial. Finally, our results were obtained from one community in Shanghai and are therefore insufficient to generalize to China as a whole. Therefore, further validation of studies involving other regions would better reflect the results of a nationwide population.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe results of this study suggest that statin use was not associated with a decreased risk of new-onset AF in community-dwelling older people in Shanghai, China. Further randomized controlled studies are needed to confirm the AF efficacy of statins among community-dwelling older people.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAF\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eatrial fibrillation\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eScr\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eserum creatinine\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eBMI\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ebody mass index\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eWHR\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ewaist-to-hip ratio\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSBP\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003esystolic blood pressure\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eDBP\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ediastolic blood pressure\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eACEIs/ARBs\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eangiotensin converting-enzyme inhibitors/angiotensin receptor blockers\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCCBs\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ecalcium channel blockers\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eHbA1c\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eglycated hemoglobin\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFPG\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003efasting plasma glucose\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003etotal cholesterol\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTG\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003etriglycerides\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eHDL\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ehigh-density lipoprotein\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eLDL\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003elow density lipoprotein\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAST\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003easpartate transaminase\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eALT\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ealanine transaminase\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eBUN\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eblood urea nitrogen\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTBIL\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003etotal bilirubin\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eUA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003euric acid\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eHR\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ehazard ratio\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCI\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003econfidence interval\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eHMG-CoA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ehydroxymethylglutaryl-CoA.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003eData Sharing Statement\u003c/p\u003e\n\u003cp\u003eAll the data supporting the study findings are within the manuscript. Addition detailed information and raw data are Available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003eEthics Approval and Informed Consent\u003c/p\u003e\n\u003cp\u003eThe study was performed in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Shanghai Pudong Hospital, Fudan University. Written consent was obtained from each participant after they had been informed of the objectives, benefits, medical items, and confidentiality of personal information.\u003c/p\u003e\n\u003cp\u003eFunding\u003c/p\u003e\n\u003cp\u003eNo funding\u003c/p\u003e\n\u003cp\u003eAcknowledgments\u003c/p\u003e\n\u003cp\u003eWe thank all participants for their dedication to the study.\u003c/p\u003e\n\u003cp\u003eAuthor Contributions\u003c/p\u003e\n\u003cp\u003eAll authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.\u003c/p\u003e\n\u003cp\u003eConflicts\u003c/p\u003e\n\u003cp\u003eThe authors report no conflicts of interest in this work.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eDu X, Guo L, Xia S, Du J, Anderson C, Arima H, Huffman M, Yuan Y, Zheng Y, Wu S\u003cem\u003e\u0026nbsp;et al\u003c/em\u003e: \u003cstrong\u003eAtrial fibrillation prevalence, awareness and management in a nationwide survey of adults in China\u003c/strong\u003e. \u003cem\u003eHeart\u0026nbsp;\u003c/em\u003e2021, \u003cstrong\u003e107\u003c/strong\u003e(7):535-541.\u003c/li\u003e\n \u003cli\u003eHindricks G, Potpara T, Dagres N, Arbelo E, Bax JJ, Blomstroem-Lundqvist C, Boriani G, Castella M, Dan G-A, Dilaveris PE\u003cem\u003e\u0026nbsp;et al\u003c/em\u003e: \u003cstrong\u003e2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS)\u003c/strong\u003e. \u003cem\u003eEuropean Heart Journal\u0026nbsp;\u003c/em\u003e2021, \u003cstrong\u003e42\u003c/strong\u003e(5):373-498.\u003c/li\u003e\n \u003cli\u003eHarada M, Van Wagoner DR, Nattel S: \u003cstrong\u003eRole of Inflammation in Atrial Fibrillation Pathophysiology and Management\u003c/strong\u003e. \u003cem\u003eCirculation Journal\u0026nbsp;\u003c/em\u003e2015, \u003cstrong\u003e79\u003c/strong\u003e(3):495-502.\u003c/li\u003e\n \u003cli\u003eOesterle A, Laufs U, Liao JK: \u003cstrong\u003ePleiotropic Effects of Statins on the Cardiovascular System\u003c/strong\u003e. \u003cem\u003eCirculation Research\u0026nbsp;\u003c/em\u003e2017, \u003cstrong\u003e120\u003c/strong\u003e(1):229-243.\u003c/li\u003e\n \u003cli\u003ePinho-Gomes AC, Reilly S, Brandes RP, Casadei B: Targeting Inflammation and Oxidative Stress in Atrial Fibrillation: Role of 3-Hydroxy-3-Methylglutaryl-Coenzyme A Reductase Inhibition with Statins. \u003cem\u003eAntioxidants \u0026amp; Redox Signaling\u0026nbsp;\u003c/em\u003e2014, 20(8):1268-1285.\u003c/li\u003e\n \u003cli\u003eLaszlo R, Menzel KA, Bentz K, Schreiner B, Kettering K, Eick C, Schreieck J: \u003cstrong\u003eAtorvastatin treatment affects atrial ion currents and their tachycardia-induced remodeling in rabbits\u003c/strong\u003e. \u003cem\u003eLife Sciences\u0026nbsp;\u003c/em\u003e2010, \u003cstrong\u003e87\u003c/strong\u003e(15-16):507-513.\u003c/li\u003e\n \u003cli\u003eBang CN, Greve AM, Boman K, Egstrup K, Gohlke-Baerwolf C, Kober L, Nienaber CA, Ray S, Rossebo AB, Wachtell K: Effect of lipid lowering on new-onset atrial fibrillation in patients with asymptomatic aortic stenosis: The Simvastatin and Ezetimibe in Aortic Stenosis (SEAS) study. \u003cem\u003eAmerican Heart Journal\u0026nbsp;\u003c/em\u003e2012, 163(4):690-696.\u003c/li\u003e\n \u003cli\u003eHaywood LJ, Ford CE, Crow RS, Davis BR, Massie BM, Einhorn PT, Williard A: Atrial Fibrillation at Baseline and During Follow-Up in ALLHAT (Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial). \u003cem\u003eJournal of the American College of Cardiology\u0026nbsp;\u003c/em\u003e2009, 54(22):2023-2031.\u003c/li\u003e\n \u003cli\u003eFauchier L, Clementy N, Babuty D: Statin therapy and atrial fibrillation: systematic review and updated meta-analysis of published randomized controlled trials. \u003cem\u003eCurrent Opinion in Cardiology\u0026nbsp;\u003c/em\u003e2013, 28(1):7-18.\u003c/li\u003e\n \u003cli\u003eMacfarlane PW, Murray H, Sattar N, Stott DJ, Ford I, Buckley B, Jukema JW, Westendorp RGJ, Shepherd J: \u003cstrong\u003eThe incidence and risk factors for new onset atrial fibrillation in the PROSPER study\u003c/strong\u003e. \u003cem\u003eEuropace\u0026nbsp;\u003c/em\u003e2011, \u003cstrong\u003e13\u003c/strong\u003e(5):634-639.\u003c/li\u003e\n \u003cli\u003eZheng Z, Jayaram R, Jiang L, Emberson J, Zhao Y, Li Q, Du J, Guarguagli S, Hill M, Chen Z\u003cem\u003e\u0026nbsp;et al\u003c/em\u003e: \u003cstrong\u003ePerioperative Rosuvastatin in Cardiac Surgery\u003c/strong\u003e. \u003cem\u003eNew England Journal of Medicine\u0026nbsp;\u003c/em\u003e2016, \u003cstrong\u003e374\u003c/strong\u003e(18):1744-1753.\u003c/li\u003e\n \u003cli\u003eGoh SL, Yap KH, Chua KC, Chao VTT: Does preoperative statin therapy prevent postoperative atrial fibrillation in patients undergoing cardiac surgery? \u003cem\u003eInteractive Cardiovascular and Thoracic Surgery\u0026nbsp;\u003c/em\u003e2015, 20(3):422-428.\u003c/li\u003e\n \u003cli\u003ePatti G, Bennett R, Seshasai SRK, Cannon CP, Cavallari I, Chello M, Nusca A, Mega S, Caorsi C, Spadaccio C\u003cem\u003e\u0026nbsp;et al\u003c/em\u003e: Statin pretreatment and risk of in-hospital atrial fibrillation among patients undergoing cardiac surgery: a collaborative meta-analysis of 11 randomized controlled trials. \u003cem\u003eEuropace\u0026nbsp;\u003c/em\u003e2015, 17(6):855-863.\u003c/li\u003e\n \u003cli\u003eYan P, Dong P, Li Z, Cheng J: Statin Therapy Decreased the Recurrence Frequency of Atrial Fibrillation after Electrical Cardioversion: A Meta-Analysis. \u003cem\u003eMedical Science Monitor\u0026nbsp;\u003c/em\u003e2014, 20:2753-2758.\u003c/li\u003e\n \u003cli\u003eChang C-H, Lee Y-C, Tsai C-T, Chang S-N, Chung Y-H, Lin M-S, Lin J-W, Lai M-S: Continuation of statin therapy and a decreased risk of atrial fibrillation/flutter in patients with and without chronic kidney disease. \u003cem\u003eAtherosclerosis\u0026nbsp;\u003c/em\u003e2014, 232(1):224-230.\u003c/li\u003e\n \u003cli\u003eBang CN, Gislason GH, Greve AM, Torp-Pedersen C, Kober L, Wachtell K: Statins reduce new-onset atrial fibrillation in a first-time myocardial infarction population: a nationwide propensity score-matched study. \u003cem\u003eEuropean Journal of Preventive Cardiology\u0026nbsp;\u003c/em\u003e2014, 21(3):330-338.\u003c/li\u003e\n \u003cli\u003eSchwartz GG, Chaitman BR, Goldberger JJ, Messig M: High-dose atorvastatin and risk of atrial fibrillation in patients with prior stroke or transient ischemic attack: Analysis of the Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL) trial. \u003cem\u003eAmerican Heart Journal\u0026nbsp;\u003c/em\u003e2011, 161(5):993-999.\u003c/li\u003e\n \u003cli\u003eMiddeldorp ME, Kamsani SH, Sanders P: \u003cstrong\u003eObesity and atrial fibrillation: Prevalence, pathogenesis, and prognosis\u003c/strong\u003e. \u003cem\u003eProgress in Cardiovascular Diseases\u0026nbsp;\u003c/em\u003e2023, \u003cstrong\u003e78\u003c/strong\u003e:34-42.\u003c/li\u003e\n \u003cli\u003eLimpitikul WB, Das S: \u003cstrong\u003eObesity-Related Atrial Fibrillation: Cardiac Manifestation of a Systemic Disease\u003c/strong\u003e. \u003cem\u003eJournal of Cardiovascular Development and Disease\u0026nbsp;\u003c/em\u003e2023, \u003cstrong\u003e10\u003c/strong\u003e(8).\u003c/li\u003e\n \u003cli\u003eShu H, Cheng J, Li N, Zhang Z, Nie J, Peng Y, Wang Y, Wang DW, Zhou N: \u003cstrong\u003eObesity and atrial fibrillation: a narrative review from arrhythmogenic mechanisms to clinical significance\u003c/strong\u003e. \u003cem\u003eCardiovascular Diabetology\u0026nbsp;\u003c/em\u003e2023, \u003cstrong\u003e22\u003c/strong\u003e(1).\u003c/li\u003e\n \u003cli\u003eLaukkanen JA, Zaccardi F, Karppi J, Ronkainen K, Kurl S: \u003cstrong\u003eReduced kidney function is a risk factor for atrial fibrillation\u003c/strong\u003e. \u003cem\u003eNephrology\u0026nbsp;\u003c/em\u003e2016, \u003cstrong\u003e21\u003c/strong\u003e(8):717-720.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003eTables 1 to 4 are available in the Supplementary Files section\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pubh","sideBox":"Learn more about [BMC Public Health](http://bmcpublichealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pubh/default.aspx","title":"BMC Public Health","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"atrial fibrillation, statins, community-dwelling older people","lastPublishedDoi":"10.21203/rs.3.rs-4354297/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4354297/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eObjective: \u003c/strong\u003eWhether statins prevent atrial fibrillation remains unclear. In particular, the data on the elderly are limited. Thus we investigated the association between statin use and the risk of atrial fibrillation (AF) in community-dwelling older people in Shanghai ,China.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e This registry-based cohort study was conducted in one community in Shanghai. Participants without history of AF were enrolled in this study, then new-onset of AF was recorded and evaluated in the followed three years. Poisson generalized linear models were conducted to examine the association between statin therapy and the incidence of AF. All analysis were performed with both conventional adjustment and propensity score matching methods. Univariate and multivariate regression analysis were performed to evaluate the risk factor of AF in community-dwelling older people\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003eIn the cohort of 5675 participants (43.5% men; median age, 68.0 years), 456 (8.0%) were treated with stains. Two propensity score-matched cohorts of 453 participants (with or without statin treatment) were analyzed, in respectively. Statin use did not reduce the proportion of atrial fibrillation incidence, with hazard ratios (HRs) and 95% confidence intervals (CIs) of 0.982(0.948 to 1.018) (p>0.05) in the unmatched cohort and 0.833 (0.459 to 1.512) (p>0.05) in the matched cohort. The result of multivariate regression analysis showed that age, systolic blood pressure (SBP), BMI, Serum creatinine (Scr), total cholesterol (TC),were the independent risk factors of the new onset of AF.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion: \u003c/strong\u003eOlder age, SBP, BMI, Scr, TC, were independent predictors of AF onset. However, statin use was not associated with a decreased risk of atrial fibrillation incidence of AF in the elderly.\u003c/p\u003e","manuscriptTitle":"Association between Statin use and the risk of atrial fibrillation in community-dwelling older people in Shanghai, China:a propensity score-matched study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-13 15:53:09","doi":"10.21203/rs.3.rs-4354297/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-04-10T08:16:45+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-03-23T22:45:14+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"180587170332839588641944006782516036976","date":"2025-03-17T04:47:16+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"15486518798347623281333691263325854993","date":"2025-03-13T23:04:04+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"263418425614104929053974945366436578025","date":"2025-03-04T12:26:56+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-03-04T10:33:26+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"110306767274989360019846086988857646233","date":"2025-03-04T10:32:10+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"64311622555658707679639103819544468369","date":"2024-08-30T08:33:49+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-08-27T19:50:16+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"323044321237802455370050344223039765197","date":"2024-08-17T23:51:14+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-08-16T14:36:35+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-05-17T06:08:08+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-05-04T21:18:46+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-05-04T21:18:46+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Public Health","date":"2024-05-01T12:38:03+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pubh","sideBox":"Learn more about [BMC Public Health](http://bmcpublichealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pubh/default.aspx","title":"BMC Public Health","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"aab1d260-5c50-46dd-9446-7170c66cadd0","owner":[],"postedDate":"May 13th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-09-29T15:58:44+00:00","versionOfRecord":{"articleIdentity":"rs-4354297","link":"https://doi.org/10.1186/s12889-025-24299-3","journal":{"identity":"bmc-public-health","isVorOnly":false,"title":"BMC Public Health"},"publishedOn":"2025-09-25 15:56:57","publishedOnDateReadable":"September 25th, 2025"},"versionCreatedAt":"2024-05-13 15:53:09","video":"","vorDoi":"10.1186/s12889-025-24299-3","vorDoiUrl":"https://doi.org/10.1186/s12889-025-24299-3","workflowStages":[]},"version":"v1","identity":"rs-4354297","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4354297","identity":"rs-4354297","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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