scholarly journals Association of Sedentary Time and Incident Heart Failure Hospitalization in Postmenopausal Women

2020 ◽  
Vol 13 (12) ◽  
Author(s):  
Michael J. LaMonte ◽  
Joseph C. Larson ◽  
JoAnn E. Manson ◽  
John Bellettiere ◽  
Cora E. Lewis ◽  
...  
Keyword(s):  
Physical Activity ◽  
Heart Failure ◽  
Postmenopausal Women ◽  
Cox Regression ◽  
Coronary Revascularization ◽  
Sitting Time ◽  
Time Varying ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Race Ethnicity

Background: The 2018 US Physical Activity Guidelines recommend reducing sedentary behavior (SB) for cardiovascular health. SB’s role in heart failure (HF) is unclear. Methods: We studied 80 982 women in the Women’s Health Initiative Observational Study, aged 50 to 79 years, who were without known HF and reported ability to walk ≥1 block unassisted at baseline. Mean follow-up was 9 years for physician-adjudicated incident HF hospitalization (1402 cases). SB was assessed repeatedly by questionnaire. Time-varying total SB was categorized according to awake time spent sitting or lying down (≤6.5, 6.6–9.5, >9.5 h/d); sitting time (≤4.5, 4.6–8.5, >8.5 h/d) was also evaluated. Hazard ratios and 95% CI were estimated using Cox regression. Results: Controlling for age, race/ethnicity, education, income, smoking, alcohol, menopausal hormone therapy, and hysterectomy status, higher HF risk was observed across incremental tertiles of time-varying total SB (hazard ratios [95% CI], 1.00 [referent], 1.15 [1.01–1.31], 1.42 [1.25–1.61], trend P <0.001) and sitting time (1.00 [referent], 1.14 [1.01–1.28], 1.54 [1.34–1.78], trend P <0.001). The inverse trends remained significant after further controlling for comorbidities including time-varying myocardial infarction and coronary revascularization (hazard ratios: SB, 1.00, 1.11, 1.27; sitting, 1.00, 1.09, 1.37, trend P <0.001 each) and for baseline physical activity (hazard ratios: SB 1.00, 1.10, 1.24; sitting 1.00, 1.08, 1.33, trend P <0.001 each). Associations with SB exposures were not different according to categories of baseline age, race/ethnicity, body mass index, physical activity, physical functioning, diabetes, hypertension, or coronary heart disease. Conclusions: SB was associated with increased risk of incident HF hospitalization in postmenopausal women. Targeted efforts to reduce SB could enhance HF prevention in later life.

scholarly journals Inflammatory Potential of the Diet and Risk of Breast Cancer in the European Investigation Into Cancer and Nutrition (EPIC) Study

2021 ◽  
Author(s):  
Carlota Castro-Espin ◽  
Antonio Agudo ◽  
Catalina Bonet ◽  
Verena Katzke ◽  
Renée Turzanski-Fortner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Cox Regression ◽  
Menopausal Status ◽  
Premenopausal Women ◽  
Underlying Mechanism ◽  
Potential Effect ◽  
Inflammatory Score ◽  
Hazard Ratios ◽  
Increased Risk

Abstract The role of chronic inflammation on breast cancer (BC) risk remains unclear beyond as an underlying mechanism of obesity and physical activity. We aimed to evaluate the association between the inflammatory potential of the diet and risk of BC overall, according to menopausal status and tumour subtypes. Within the European Prospective Investigation into Cancer and Nutrition cohort, 318,686 women were followed for 14 years, among whom 13,246 incident BC cases were identified. The inflammatory potential of the diet was characterized by an inflammatory score of the diet (ISD). Multivariable Cox regression models were used to assess the potential effect of the ISD on BC risk by means of hazard ratios (HR) and 95% confidence intervals (CI). ISD was positively associated with BC risk. Each increase of one standard deviation (1-Sd) of the score increased by 4% the risk of BC (HR=1.04; 95% CI: 1.01-1.07). Women in the highest quintile of the ISD (indicating most pro-inflammatory diet) had a 12% increase in risk compared with those in the lowest quintile (HR=1.12; 95% CI: 1.04-1.21) with a significant trend. The association was strongest among premenopausal women, with an 8% increased risk for 1-Sd increase in the score (HR=1.08; 95% CI: 1.01-1.14). The pattern of the association was quite homogeneous by BC subtypes based on hormone receptor status. There were no significant interactions between ISD and body mass index, physical activity or alcohol consumption. Women consuming more pro-inflammatory diets as measured by ISD are at increased risk for BC, especially premenopausal women.

Abstract P143: Circulating Level of Hepatocyte Growth Factor and Incidence of Diabetes Mellitus: The Multi-Ethnic Study of Atherosclerosis

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Michael P Bancks ◽  
Suzette J Bielinski ◽  
Paul A Decker ◽  
Naomi Q Hanson ◽  
Nicholas B Larson ◽  
...  
Keyword(s):  
Growth Factor ◽  
Hepatocyte Growth Factor ◽  
Cox Regression ◽  
Fasting Glucose ◽  
Smoking Status ◽  
Incident Diabetes ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Race Ethnicity ◽  
Hepatocyte Growth

Introduction: Increased levels of hepatocyte growth factor (HGF), active in cell growth, motility, and morphogenesis, are associated with the presence of obesity, poor metabolic health, and cardiovascular disease. Hypothesis: We assessed the hypothesis that higher baseline levels of HGF will be associated with increased risk of diabetes. Methods: We examined the association between HGF and incident diabetes in MESA, including 5395 men and women 45-84 years of age at enrollment (2000-02). Fasting serum HGF was measured at baseline and on a subsample of participants at exam 2 (n = 1915). From 2000-11, incidence of diabetes was ascertained over 4 follow-up examinations, determined by new use of insulin or oral hypoglycemic medication or fasting glucose ≥ 126 mg/dL. Cox regression was used to estimate hazard ratios (HR) for incident diabetes according to 1 standard deviation unit (SDU) of HGF (1 SDU =256 pg/mL), before and after adjustment for age, sex, race/ethnicity, education, study center, smoking status, alcohol consumption, BMI, WC, fasting glucose and insulin, CRP, and IL-6 levels. Similarly, hazard ratios for incident diabetes were estimated according to change in HGF levels from exam 1 to exam 2 in the subsample. Results: At baseline, older age, male sex, current smoking, and higher body mass index (BMI), waist circumference (WC), fasting glucose and insulin, C-reactive protein (CRP) and interleukin-6 (IL-6) levels were all associated with higher levels of HGF, while greater education and physical activity were associated with lower serum HGF. Incidence of diabetes in this analytic sample was 12% (n cases = 670). Per 1 SDU increase in baseline HGF level, unadjusted risk for diabetes increased 1.46 fold (95% CI=1.37, 1.56). After adjustment, diabetes risk per 1 SDU increase in HGF was attenuated but remained significantly increased (HR=1.22; 95% CI=1.12, 1.32). No association was found between change in HGF level between exam 1 and exam 2 and incidence of diabetes. There was no evidence of effect modification by race/ethnicity for either analysis. Conclusion: In conclusion, in this ethnically diverse U.S. adult population, higher levels of serum HGF were independently associated with increased incidence of diabetes.

scholarly journals CVD risk from prolonged occupational sitting attenuated by additional physical activity – Evidence from a prospective cohort of 481,688 Asian adults

2022 ◽  
Author(s):  
Wayne Gao ◽  
Mattia Sanna ◽  
Yea-Hung Chen ◽  
Min-Kuang Tsai ◽  
Po-Jung Lu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cox Regression ◽  
Leisure Time Physical Activity ◽  
Sitting Time ◽  
Surveillance Program ◽  
Sedentary Behaviors ◽  
Cvd Risk ◽  
Occupational Sitting ◽  
Increased Risk

Abstract BackgroundFor the first time, the 2020 WHO guidelines on physical activity recommend reducing sedentary behaviors due to their health consequences. Less is known on the effect of prolonged occupational sitting, especially in the context of low physical activity engagement.This study aims at quantifying cardiovascular risk associated with prolonged occupational sitting and determining the additional amount of physical activity that may be needed to attenuate it.MethodsA cohort comprising 481,688 participants in a health surveillance program in Taiwan was followed between 1996 and 2017, collecting data on occupational sitting time, leisure-time physical activity (LTPA) habits, lifestyle, and metabolic parameters. The all-cause and expanded cardiovascular disease (CVD + diabetes mellitus + kidney disease) mortality associated with three occupational sitting volumes (mostly sitting, alternating sitting and non-sitting, mostly non-sitting) was analyzed applying multivariate Cox regression models to calculate the hazard ratios (HRs) for all participants and by subgroups, including five levels of LTPA. Deaths in the first two years of follow-up were excluded to avoid reverse causality.ResultsThe study recorded 26,257 deaths during a mean follow-up period of 12.85 years. Individuals mostly sitting at work had a higher mortality risk than those mostly non-sitting, both from all causes (HR: 1.16, 95% CI: 1.11-1.20) and from expanded CVD (HR:1.46, 95% CI:1.35-1.58), after adjusting for gender, age, education, smoking, drinking, and body mass index. Individuals alternating sitting and non-sitting at work did not experience increased risk for all-cause mortality, compared to individuals mostly non-sitting at work (HR: 1.01, 95% CI: 0.97-1.05), but did experience higher risk of deaths due to expanded CVD (HR: 1.13, 95% CI: 1.04-1.23). Individuals engaged in low (15-29 min/day) or no (<15 min/day) LTPA, who mostly sit at work, would need to increase their LTPA by 15 and 30 minutes respectively to reduce their risk of mortality to that of similarly inactive individuals who mostly do not sit at work.ConclusionsAs part of modern lifestyles, prolonged occupational sitting is considered normal and has not received due attention, even though its deleterious effect has been largely proved. Alternating sitting and non-sitting at work, as well as an extra 15 to 30 min/day of LTPA, can attenuate the harms of prolonged occupational sitting. Thus, emphasizing the associated harms and suggesting workplace system changes could help the society to de-normalize this common behavior, similarly to the process of de-normalizing smoking.

scholarly journals Comparison of Time-Varying and Landmark Analysis Methods in Estimating the Association Between Medication Adherence and Outcomes: A Heart Failure Cohort

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Xiwen Simon Qin ◽  
Matthew W Knuiman ◽  
Joseph Hung ◽  
Tom Briffa ◽  
Tiew-Hwa Katherine Teng ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cox Regression ◽  
Adverse Outcomes ◽  
Time Dependent ◽  
Time Varying ◽  
Landmark Analysis ◽  
Hazard Ratios ◽  
Β Blockers ◽  
Landmark Analyses

IntroductionMedication adherence is associated with a reduction of adverse outcomes in heart failure (HF). However, this association is complex to estimate accurately because adherence (exposure) can vary during the follow-up period. Adherence can be estimated as a fixed exposure to predict outcomes, and this is known as a landmark analysis. In contrast, adherence can also be estimated as a dynamic exposure which varies over time in the follow-up period. This is known as a time-varying analysis and is expected to be the more precise method. Objectives and ApproachWe compared these two methods in a HF cohort. We identified a population-based cohort of 3619 heart failure patients, aged 65-84 years hospitalised in Western Australia from 2003-2007 and who survived to 1-year post-discharge (landmark date). Adherence to renin-angiotensin system inhibitors (RASI) and β-blockers was calculated using proportion of days covered (PDC) expressed either as a fixed time exposure (in landmark analysis) or a varying exposure (in time-dependent analysis). The latter was updated every 30 days after the landmark date. Cox regression models were used to investigate the association between adherence and all-cause death at 1- and 3-years post-landmark date. ResultsFor 1-year outcomes, hazard ratios (HR) for every 10% increase in PDC were similar between models from landmark analyses (RASI adherence: 0.93, 0.90-0.97; β-blocker adherence: 0.96, 0.92-1.0) and time-dependent analyses (RASI adherence: 0.94, 0.91-0.97; β-blockers adherence: 0.95, 0.92 -0.99). However, 95% confidence intervals estimated from time-dependent models were narrower than those from landmark analyses. HRs were slightly closer to the null when estimated from time-dependent models. A similar pattern was seen with 3-year outcomes. Conclusion / ImplicationsTime-dependent analysis of adherence-outcome associations results in more precise estimates of hazard ratios. Estimates of HRs from landmark analysis models were similar but usually lower than those from time-dependent models.

scholarly journals Metabolically Healthy/Unhealthy Overweight/Obesity Associations With Incident Heart Failure in Postmenopausal Women

2021 ◽  
Author(s):  
Amber R. Cordola Hsu ◽  
Bin Xie ◽  
Darleen V. Peterson ◽  
Michael J. LaMonte ◽  
Lorena Garcia ◽  
...  
Keyword(s):  
Heart Failure ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Cox Regression ◽  
Normal Weight ◽  
Increased Risk ◽  
Metabolically Healthy

Background: Obesity is associated with an increased risk of heart failure (HF); however, how metabolic weight groups relate to HF risk, especially in postmenopausal women, has not been demonstrated. Methods: We included 19 412 postmenopausal women ages 50 to 79 without cardiovascular disease from the Women’s Health Initiative. Normal weight was defined as a body mass index ≥18.5 and <25 kg/m 2 and waist circumference <88 cm and overweight/obesity as a body mass index ≥25 kg/m 2 or waist circumference ≥88 cm. Metabolically healthy was based on <2 and unhealthy ≥2 cardiometabolic traits: triglycerides ≥150 mg/dL, systolic blood pressure ≥130 mm Hg or diastolic blood pressure ≥85 mm Hg or blood pressure medication, fasting glucose ≥100 mg/dL or diabetes medication, and HDL-C (high-density lipoprotein cholesterol) <50 mg/dL. Risk factor-adjusted Cox regression examined the hazard ratios (HRs) for incident hospitalized HF among metabolically healthy normal weight (reference), metabolically unhealthy normal weight, metabolically healthy overweight/obese, and metabolically unhealthy overweight/obese. Results: Among our sample, 455 (2.34%) participants experienced HF hospitalizations over a mean follow-up time of 11.3±1.1 years. Compared with metabolically healthy normal weight individuals, HF risk was greater in metabolically unhealthy normal weight (HR, 1.66 [95% CI, 1.01–2.72], P =0.045) and metabolically unhealthy overweight/obese individuals (HR, 1.95 [95% CI, 1.35–2.80], P =0.0004), but not metabolically healthy overweight/obese individuals (HR, 1.15 [95% CI, 0.78–1.71], P =0.48). Subdividing the overweight/obese into separate groups showed HRs for metabolically unhealthy obese of 2.62 (95% CI, 1.80–3.83; P <0.0001) and metabolically healthy obese of 1.52 (95% CI, 0.98–2.35; P =0.06). Conclusions: Metabolically unhealthy overweight/obese and metabolically unhealthy normal weight are associated with an increased risk of HF in postmenopausal women.

scholarly journals Individuals with familial hypercholesterolemia have increased risk of re-hospitalization after acute myocardial infarction compared with controls

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
K Svendsen ◽  
H.W Krogh ◽  
J Igland ◽  
G.S Tell ◽  
L.J Mundal ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Familial Hypercholesterolemia ◽  
Cox Regression ◽  
Public Institution ◽  
University Hospital ◽  
Funding Source ◽  
Hazard Ratios ◽  
Increased Risk ◽  
University Of Oslo

Abstract Background and aim We have previously reported that individuals with familial hypercholesterolemia (FH) have a two-fold increased risk of acute myocardial infarction (AMI) compared with the general population. The consequences of having an AMI on re-hospitalization and mortality are however less known. The aim of the present study was to compare the risk of re-hospitalization with AMI and CHD and risk of mortality after incident (first) AMI-hospitalization between persons with and without FH (controls). Methods The original study population comprised 5691 persons diagnosed with FH during 1992–2014 and 119511 age and sex matched controls randomly selected from the general Norwegian population. We identified 221 individuals with FH and 1947 controls with an incident AMI registered in the Norwegian Patient Registry (NPR) or the Cardiovascular Disease in Norway Project during 2001–2017. Persons with incident AMI were followed until December 31st 2017 for re-hospitalization with AMI or coronary heart disease (CHD) registered in the NPR, and for mortality through linkage to the Norwegian Cause of Death Registry. Risk of re-hospitalization was compared with sub-hazard ratios (SHR) from competing risk regression with death as competing event, and mortality was compared using hazard ratios (HR) from Cox regression. All models were adjusted for age. Results Risk of re-hospitalization was 2-fold increased both for AMI [SHR=2.53 (95% CI: 1.88–3.41)] and CHD [SHR=1.82 (95% CI: 1.44–2.28)]. However, persons with FH did not have increased 28-day mortality following an incident AMI (HR=1.05 (95% CI: 0.62–1.78), but the longer-term (&gt;28 days) mortality after first AMI was increased in FH [HR=1.45 (95% CI: 1.07–1.95]. Conclusion This study yields the important finding that persons with FH have increased risk of re-hospitalization of both AMI and CHD after incident AMI. These findings call for more intensive follow-up of individuals with FH after an AMI. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): University of Oslo and Oslo University Hospital

scholarly journals Cox regression survival analysis with compositional covariates: Application to modelling mortality risk from 24-h physical activity patterns

2019 ◽  
Vol 29 (5) ◽  
pp. 1447-1465 ◽  
Author(s):  
DE McGregor ◽  
J Palarea-Albaladejo ◽  
PM Dall ◽  
K Hron ◽  
SFM Chastin
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Survival Analysis ◽  
Regression Model ◽  
Cox Regression ◽  
Public Health Problem ◽  
Sitting Time ◽  
Cox Regression Model ◽  
Log Ratio ◽  
Activity Behaviour

Survival analysis is commonly conducted in medical and public health research to assess the association of an exposure or intervention with a hard end outcome such as mortality. The Cox (proportional hazards) regression model is probably the most popular statistical tool used in this context. However, when the exposure includes compositional covariables (that is, variables representing a relative makeup such as a nutritional or physical activity behaviour composition), some basic assumptions of the Cox regression model and associated significance tests are violated. Compositional variables involve an intrinsic interplay between one another which precludes results and conclusions based on considering them in isolation as is ordinarily done. In this work, we introduce a formulation of the Cox regression model in terms of log-ratio coordinates which suitably deals with the constraints of compositional covariates, facilitates the use of common statistical inference methods, and allows for scientifically meaningful interpretations. We illustrate its practical application to a public health problem: the estimation of the mortality hazard associated with the composition of daily activity behaviour (physical activity, sitting time and sleep) using data from the U.S. National Health and Nutrition Examination Survey (NHANES).

Abstract 14922: Prognostic Value of Baseline BNP and NT-ProBNP and its Interaction With Spironolactone in Patients With Heart Failure and Preserved Ejection Fraction in the TOPCAT Trial

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Inder S Anand ◽  
Scott D Solomon ◽  
Brian Claggett ◽  
Sanjiv J Shah ◽  
Eileen O’Meara ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Primary Outcome ◽  
Cox Regression ◽  
Selection Criterion ◽  
Adverse Outcomes ◽  
Preserved Ejection Fraction ◽  
Patient Selection Criterion ◽  
Increased Risk ◽  
Patients With Heart Failure

Background: Plasma natriuretic peptides (NP) are helpful in the diagnosis of heart failure (HF) with preserved ejection fraction (HFpEF) and predict adverse outcomes. Levels of NP beyond a certain cut-off level are often used as inclusion criteria in clinical trials to ensure that the patients have HF, and to select patients at higher risk. Whether treatments have a differential effect on outcomes across the spectrum of NP levels is unclear. In the I-Preserve trial a benefit of irbesartan on all outcomes was only seen in HFpEF patients with low but not high NP levels. We hypothesized that in the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) trial, spironolactone might have a greater benefit in patients with lower NP levels. Methods and Results: BNP (n=468) or NT-proBNP (n=400) levels were available at baseline in 868 patients with HFpEF enrolled in the natriuretic peptide stratum (BNP ≥100 pg/mL or an NT- proBNP ≥360 pg/mL) of the TOPCAT trial. In a multi-variable Cox regression model, that included age, gender, region (Americas vs. Russia/Georgia), atrial fibrillation, diabetes, eGFR, BMI and heart rate, higher BNP or NT-proBNP as a continuous, standardized log-transformed variable or grouped by terciles (see Figure for BNP & NT-proBNP tercile values) was independently associated with an increased risk of the primary endpoint of cardiovascular mortality, aborted cardiac arrest, or hospitalization for heart failure (Figure-1). There was a significant interaction between the effect of spironolactone and baseline BNP or NT-proBNP terciles for the primary outcome (P=0.02, Figure-2), with greater benefit of the drug in the lower compared to higher NP terciles. Conclusions: The benefit of spironolactone in lower risk HFpEF patients may indicate effects of the drug on early, but not late higher-risk stage of the disease. These findings question the strategy of using elevated NP as a patient selection criterion in HFpEF trials.

Abstract P253: Proton Pump Inhibitor Use is Positively Associated with Incidence of Cardiovascular Disease

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Elizabeth J Bell ◽  
Jennifer L St. Sauver ◽  
Veronique L Roger ◽  
Nicholas B Larson ◽  
Hongfang Liu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Language Processing ◽  
Proton Pump ◽  
Hazard Ratio ◽  
Time Varying ◽  
Increased Risk ◽  
The Impact

Introduction: Proton pump inhibitors (PPIs) are used by an estimated 29 million Americans. PPIs increase the levels of asymmetrical dimethylarginine, a known risk factor for cardiovascular disease (CVD). Data from a select population of patients with CVD suggest that PPI use is associated with an increased risk of stroke, heart failure, and coronary heart disease. The impact of PPI use on incident CVD is largely unknown in the general population. Hypothesis: We hypothesized that PPI users have a higher risk of incident total CVD, coronary heart disease, stroke, and heart failure compared to nonusers. To demonstrate specificity of association, we additionally hypothesized that there is not an association between use of H 2 -blockers - another commonly used class of medications with similar indications as PPIs - and CVD. Methods: We used the Rochester Epidemiology Project’s medical records-linkage system to identify all residents of Olmsted County, MN on our baseline date of January 1, 2004 (N=140217). We excluded persons who did not grant permission for their records to be used for research, were <18 years old, had a history of CVD, had missing data for any variable included in our model, or had evidence of PPI use within the previous year.We followed our final cohort (N=58175) for up to 12 years. The administrative censoring date for CVD was 1/20/2014, for coronary heart disease was 8/3/2016, for stroke was 9/9/2016, and for heart failure was 1/20/2014. Time-varying PPI ever-use was ascertained using 1) natural language processing to capture unstructured text from the electronic health record, and 2) outpatient prescriptions. An incident CVD event was defined as the first occurrence of 1) validated heart failure, 2) validated coronary heart disease, or 3) stroke, defined using diagnostic codes only. As a secondary analysis, we calculated the association between time-varying H 2 -blocker ever-use and CVD among persons not using H 2 -blockers at baseline. Results: After adjustment for age, sex, race, education, hypertension, hyperlipidemia, diabetes, and body-mass-index, PPI use was associated with an approximately 50% higher risk of CVD (hazard ratio [95% CI]: 1.51 [1.37-1.67]; 2187 CVD events), stroke (hazard ratio [95% CI]: 1.49 [1.35-1.65]; 1928 stroke events), and heart failure (hazard ratio [95% CI]: 1.56 [1.23-1.97]; 353 heart failure events) compared to nonusers. Users of PPIs had a 35% greater risk of coronary heart disease than nonusers (95% CI: 1.13-1.61; 626 coronary heart disease events). Use of H 2 -blockers was also associated with a higher risk of CVD (adjusted hazard ratio [95% CI]: 1.23 [1.08-1.41]; 2331 CVD events). Conclusions: PPI use is associated with a higher risk of CVD, coronary heart disease, stroke and heart failure. Use of a drug with no known cardiac toxicity - H 2 -blockers - was also associated with a greater risk of CVD, warranting further study.

Depression, antidepressants, and the risk of non-valvular atrial fibrillation: A nationwide Danish matched cohort study

2018 ◽  
Vol 26 (2) ◽  
pp. 187-195 ◽  
Author(s):  
Morten Fenger-Grøn ◽  
Mogens Vestergaard ◽  
Henrik S Pedersen ◽  
Lars Frost ◽  
Erik T Parner ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Treatment Initiation ◽  
Cox Regression ◽  
Causal Relation ◽  
Antidepressant Treatment ◽  
Symptom Burden ◽  
Matched Sample ◽  
Therapy Initiation ◽  
Hazard Ratios ◽  
Increased Risk

Background Depression is associated with an increased risk of a series of cardiovascular diseases and with increased symptom burden in patients with atrial fibrillation. The aim of this study was to determine the association between depression as well as antidepressant treatment and the risk of incident atrial fibrillation. Design A nationwide register-based study comparing the atrial fibrillation risk in all Danes initiating antidepressant treatment from 2000 to 2013 ( N = 785,254) with that in a 1:5-matched sample from the general population. Methods Cox regression was used to estimate adjusted hazard ratios (aHRs) and associated 95% confidence intervals (95% CIs), both after initiation of treatment and in the month before when patients were assumed to have medically untreated depression. Results Antidepressant treatment was associated with a three-fold higher risk of atrial fibrillation during the first month (aHR = 3.18 (95% CI: 2.98–3.39)). This association gradually attenuated over the following year (aHR = 1.37 (95% CI: 1.31–1.44) 2–6 months after antidepressant therapy initiation, and aHR = 1.11 (95% CI: 1.06–1.16) 6–12 months after). However, the associated atrial fibrillation risk was even higher in the month before starting antidepressant treatment (aHR = 7.65 (95% CI: 7.05–8.30) from 30 to 15 days before, and aHR = 4.29 (95% CI: 3.94–4.67) the last 15 days before). Overall, 0.4% of patients were diagnosed with atrial fibrillation from 30 days before to 30 days after antidepressant treatment. Conclusions Antidepressant users had a substantially increased atrial fibrillation risk, particularly before treatment initiation. Whether this mirrors a causal relation between depression and atrial fibrillation may have large consequences for public health and should be discussed.

Sign in / Sign up

Export Citation Format

Share Document