scholarly journals Artificial Intelligence–Electrocardiography to Predict Incident Atrial Fibrillation

2020 ◽  
Vol 13 (12) ◽  
Author(s):  
Georgios Christopoulos ◽  
Jonathan Graff-Radford ◽  
Camden L. Lopez ◽  
Xiaoxi Yao ◽  
Zachi I. Attia ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Atrial Fibrillation ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Hazard Ratio ◽  
Model Output ◽  
Genomic Epidemiology ◽  
Logit Transformation ◽  
Cox Proportional Hazards Models

Background: An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rhythm has recently been shown to detect concurrent episodic atrial fibrillation (AF). We sought to characterize the value of AI–enabled electrocardiography (AI-ECG) as a predictor of future AF and assess its performance compared with the CHARGE-AF score (Cohorts for Aging and Research in Genomic Epidemiology–AF) in a population-based sample. Methods: We calculated the probability of AF using AI-ECG, among participants in the population-based Mayo Clinic Study of Aging who had no history of AF at the time of the baseline study visit. Cox proportional hazards models were fit to assess the independent prognostic value and interaction between AI-ECG AF model output and CHARGE-AF score. C statistics were calculated for AI-ECG AF model output, CHARGE-AF score, and combined AI-ECG and CHARGE-AF score. Results: A total of 1936 participants with median age 75.8 (interquartile range, 70.4–81.8) years and median CHARGE-AF score 14.0 (IQR, 13.2–14.7) were included in the analysis. Participants with AI-ECG AF model output of >0.5 at the baseline visit had cumulative incidence of AF 21.5% at 2 years and 52.2% at 10 years. When included in the same model, both AI-ECG AF model output (hazard ratio, 1.76 per SD after logit transformation [95% CI, 1.51–2.04]) and CHARGE-AF score (hazard ratio, 1.90 per SD [95% CI, 1.58–2.28]) independently predicted future AF without significant interaction ( P =0.54). C statistics were 0.69 (95% CI, 0.66–0.72) for AI-ECG AF model output, 0.69 (95% CI, 0.66–0.71) for CHARGE-AF, and 0.72 (95% CI, 0.69–0.75) for combined AI-ECG and CHARGE-AF score. Conclusions: In the present study, both the AI-ECG AF model output and CHARGE-AF score independently predicted incident AF. The AI-ECG may offer a means to assess risk with a single test and without requiring manual or automated clinical data abstraction.

Abstract P005: Comparative Effectiveness of Rivaroxaban versus Warfarin for the Treatment of Patients with Non-valvular Atrial Fibrillation

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Faye L Norby ◽  
Lindsay G Bengtson ◽  
Lin Y Chen ◽  
Richard F MacLehose ◽  
Pamela L Lutsey ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Real World ◽  
Proportional Hazards ◽  
Large Population ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Gi Bleeding ◽  
Cox Proportional Hazards Models ◽  
The Us

Background: Rivaroxaban is a novel oral anticoagulant approved in the US in 2011 for prevention of stroke and systemic embolism in patients with non-valvular atrial fibrillation (NVAF). Information on risks and benefits among rivaroxaban users in real-world populations is limited. Methods: We used data from the US MarketScan Commercial and Medicare Supplemental databases between 2010 and 2013. We selected patients with a history of NVAF and initiating rivaroxaban or warfarin. Rivaroxaban users were matched with up to 5 warfarin users by age, sex, database enrollment date and drug initiation date. Ischemic stroke, intracranial bleeding (ICB), myocardial infarction (MI), and gastrointestinal (GI) bleeding outcomes were defined by ICD-9-CM codes in an inpatient claim after drug initiation date. Cox proportional hazards models were used to assess the association between rivaroxaban vs. warfarin use and outcomes adjusting for age, sex, and CHA2DS2-VASc score. Separate models were used to compare a) new rivaroxaban users with new warfarin users, and b) switchers from warfarin to rivaroxaban to continuous warfarin users. Results: Our analysis included 34,998 rivaroxaban users matched to 102,480 warfarin users with NVAF (39% female, mean age 71), in which 487 ischemic strokes, 179 ICB, 647 MI, and 1353 GI bleeds were identified during a mean follow-up of 9 months. Associations of rivaroxaban vs warfarin were similar in new users and switchers; therefore we pooled both analyses. Rivaroxaban users had lower rates of ICB (hazard ratio (HR) (95% confidence interval (CI)) = 0.72 (0.46, 1.12))) and ischemic stroke (HR (95% CI) = 0.88 (0.68, 1.13)), but higher rates of GI bleeding (HR (95% CI) = 1.15 (1.01, 1.33)) when compared to warfarin users (table). Conclusion: In this large population-based study of NVAF patients, rivaroxaban users had a non-significant lower risk of ICB and ischemic stroke than warfarin users, but a higher risk of GI bleeding. These real-world findings are comparable to results reported in published clinical trials.

scholarly journals Physical activity types and atrial fibrillation risk in the middle-aged and elderly: The Rotterdam Study

2018 ◽  
Vol 25 (12) ◽  
pp. 1316-1323 ◽  
Author(s):  
Marijn Albrecht ◽  
Chantal M Koolhaas ◽  
Josje D Schoufour ◽  
Frank JA van Rooij ◽  
M Kavousi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Atrial Fibrillation ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Total Physical Activity ◽  
Rotterdam Study ◽  
Cox Proportional Hazards Models ◽  
Activity Types ◽  
Study Population

Background The association between physical activity and atrial fibrillation remains controversial. Physical activity has been associated with a higher and lower atrial fibrillation risk. These inconsistent results might be related to the type of physical activity. We aimed to investigate the association of total and types of physical activity, including walking, cycling, domestic work, gardening and sports, with atrial fibrillation. Design Prospective cohort study. Methods Our study was performed in the Rotterdam Study, a prospective population-based cohort. We included 7018 participants aged 55 years and older with information on physical activity between 1997–2001. Cox proportional hazards models were used to examine the association of physical activity with atrial fibrillation risk. Models were adjusted for biological and behavioural risk factors and the remaining physical activity types. Physical activity was categorised in tertiles and the low group was used as reference. Results During 16.8 years of follow-up (median: 12.3 years, interquartile range: 8.7–15.9 years), 800 atrial fibrillation events occurred (11.4% of the study population). We observed no association between total physical activity and atrial fibrillation risk in any model. After adjustment for confounders, the hazard ratio and 95% confidence interval for the high physical activity category compared to the low physical activity category was: 0.71 (0.80–1.14) for total physical activity. We did not observe a significant association between any of the physical activity types with atrial fibrillation risk. Conclusion Our results suggest that physical activity is not associated with higher or lower risk of atrial fibrillation in older adults. Neither total physical activity nor any of the included physical activity types was associated with atrial fibrillation risk.

scholarly journals Chronic kidney disease and risk of atrial fibrillation and heart failure in general population-based cohorts – the BiomarCaRE project

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
M Rehm ◽  
D Rothenbacher ◽  
L Iacoviello ◽  
S Costanzo ◽  
H Tunstall-Pedoe ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
General Population ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Adverse Outcomes ◽  
Cox Proportional Hazards Models

Abstract Background Chronic kidney disease (CKD) has a complicated relationship with the heart, leading to many adverse outcomes. Purpose The aim of the study was to evaluate the relationship between CKD and the incidence of atrial fibrillation (AF) and heart failure (HF) along with mortality as a competing risk in general population cohorts. Methods This study was conducted as part of the BiomarCaRE project using harmonised data from 12 population-based cohorts (n=40,212) from Europe. Cox proportional hazards models were used to determine hazard ratios (HRs) for the incidence of AF and HF in CKD and with competing mortality risk after adjusting for covariates. Results Mean age at baseline was 51.1 (standard deviation 11.9) years, and 49.3% were men. Overall, 3.5% had CKD at baseline. The rate for incident AF was 3.9 per 1000 person-years during follow-up. The HR for AF for those with CKD compared with those without was 1.23 (95% CI 1.00–1.52, p=0.0465) after adjustment for covariates. The rate for incident HF was 3.9 per 1000 person-years and the associated risk in the presence of CKD was HR 1.67 (95% CI 1.39–2.01). In subjects with CKD, N-terminal pro-B-type natriuretic peptide (NT-proBNP) showed an association with AF, while NT-proBNP and C-reactive protein (CRP) showed an association with HF. Conclusion CKD is an independent risk factor for subsequent AF and even more so for HF. In patients with CKD, NT-proBNP was clearly associated with subsequent risk of AF. In addition to this marker, hs-CRP was also associated with risk of subsequent HF. FUNDunding Acknowledgement Type of funding sources: Public grant(s) – EU funding. Main funding source(s): 7th framework programme collaborative project, grant agreement no. HEALTH-F2-2011_278913. Atrial Fibrillation and HF in CKD

Abstract 14368: Artificial Intelligence-Electrocardiography to Predict Time to Atrial Fibrillation: An Analysis of Mayo Clinic Study of Aging

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Georgios Christopoulos ◽  
Camden L Lopez ◽  
Xiaoxi Yao ◽  
Zachi I Attia ◽  
Jonathan Graff-radford ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Atrial Fibrillation ◽  
Mayo Clinic ◽  
Cumulative Incidence ◽  
Proportional Hazards ◽  
Normal Sinus Rhythm ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Normal Sinus ◽  
Clinic Study

Introduction: An artificial intelligence (AI) algorithm applied to electrocardiography (ECG) during normal sinus rhythm (NSR) has been shown to predict concomitant atrial fibrillation (AF). We sought to characterize the value of AI-ECG as a predictor of future AF and assess its performance compared to other clinical prediction scores in a population-based sample. Methods: We calculated the AI-ECG probability during NSR in patients who enrolled in the population-based Mayo Clinic Study of Aging with at least one ECG in NSR within two years prior and no history of AF at the time of the baseline study visit. The cumulative incidence of AF was estimated for strata defined by AI-ECG probability and CHARGE-AF score. Cox proportional hazards were fit to assess the independent prognostic value and interaction of AI-ECG probability and CHARGE-AF score. Concordance (c) statistics were calculated for AI-ECG probability, CHARGE-AF score and combined AI-ECG and CHARGE-AF score. Results: A total of 1,936 patients with a median age 75.8 (quartile range [QR] 70.4, 81.8) years, median CHARGE-AF score 14.0 (QR 13.2, 14.7) and median CHADS2VASC score 3 (QR 2, 4) were included in the analysis. The cumulative incidence of AF increased in a stepwise fashion across quartiles of AI-ECG probability and CHARGE-AF score (Figure 1). When compared in the same model, both AI-ECG probability (hazard ratio [HR] 1.76, 95% confidence interval [CI] 1.51-2.04) and CHARGE-AF score (HR 1.90, 95% CI 1.58-2.28) independently predicted AF without significant interaction (p=0.54). C statistics were 0.69 (95% CI 0.66-0.72) for AI-ECG probability, 0.69 (95% CI 0.66-0.71) for CHARGE-AF and 0.72 (95% CI 0.69-0.75) for combined AI-ECG and CHARGE-AF score. Conclusions: In the Mayo Clinic Study of Aging, both the AI-ECG probability and CHARGE-AF score independently predicted time to AF. The AI-ECG may offer a means to assess risk with a single test without requiring manual or automated clinical data abstraction.

The Longitudinal Association of Vision Impairment with Transitions to Cognitive Impairment and Dementia: Findings from The Aging, Demographics and Memory Study

2021 ◽  
Author(s):  
Joshua R Ehrlich ◽  
Bonnielin K Swenor ◽  
Yunshu Zhou ◽  
Kenneth M Langa
Keyword(s):  
Visual Acuity ◽  
Logistic Regression ◽  
Cognitive Impairment ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Vision Impairment ◽  
Logistic Regression Models ◽  
Cox Proportional Hazards Models ◽  
Longitudinal Association

Abstract Background Vision impairment (VI) is associated with incident cognitive decline and dementia. However, it is not known whether VI is associated only with the transition to cognitive impairment, or whether it is also associated with later transitions to dementia. Methods We used data from the population-based Aging, Demographics and Memory Study (ADAMS) to investigate the association of visual acuity impairment (VI; defined as binocular presenting visual acuity <20/40) with transitions from cognitively normal (CN) to cognitive impairment no dementia (CIND) and from CIND to dementia. Multivariable Cox proportional hazards models and logistic regression were used to model the association of VI with cognitive transitions, adjusted for covariates. Results There were 351 participants included in this study (weighted percentages: 45% male, 64% age 70-79 years) with a mean follow-up time of 4.1 years. In a multivariable model, the hazard of dementia was elevated among those with VI (HR=1.63, 95%CI=1.04-2.58). Participants with VI had a greater hazard of transitioning from CN to CIND (HR=1.86, 95%CI=1.09-3.18). However, among those with CIND and VI a similar percentage transitioned to dementia (48%) and remained CIND (52%); there was no significant association between VI and transitioning from CIND to dementia (HR=0.94, 95%CI=0.56-1.55). Using logistic regression models, the same associations between VI and cognitive transitions were identified. Conclusions Poor vision is associated with the development of CIND. The association of VI and dementia appears to be due to the higher risk of dementia among individuals with CIND. Findings may inform the design of future interventional studies.

scholarly journals Effectiveness and safety of apixaban versus warfarin in non-valvular atrial fibrillation patients in “real-world” clinical practice

2017 ◽  
Vol 117 (06) ◽  
pp. 1072-1082 ◽  
Author(s):  
Xiaoyan Li ◽  
Steve Deitelzweig ◽  
Allison Keshishian ◽  
Melissa Hamilton ◽  
Ruslan Horblyuk ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Major Bleeding ◽  
Real World ◽  
Proportional Hazards ◽  
Significant Risk ◽  
Haemorrhagic Stroke ◽  
Cox Proportional Hazards ◽  
Kaplan Meier ◽  
Cox Proportional Hazards Models ◽  
Warfarin Treatment

SummaryThe ARISTOTLE trial showed a risk reduction of stroke/systemic embolism (SE) and major bleeding in non-valvular atrial fibrillation (NVAF) patients treated with apixaban compared to warfarin. This retrospective study used four large US claims databases (MarketScan, PharMetrics, Optum, and Humana) of NVAF patients newly initiating apixaban or warfarin from January 1, 2013 to September 30, 2015. After 1:1 warfarin-apixaban propensity score matching (PSM) within each database, the resulting patient records were pooled. Kaplan-Meier curves and Cox proportional hazards models were used to estimate the cumulative incidence and hazard ratios (HRs) of stroke/SE and major bleeding (identified using the first listed diagnosis of inpatient claims) within one year of therapy initiation. The study included a total of 76,940 (38,470 warfarin and 38,470 apixaban) patients. Among the 38,470 matched pairs, 14,563 were from MarketScan, 7,683 were from PharMetrics, 7,894 were from Optum, and 8,330 were from Humana. Baseline characteristics were balanced between the two cohorts with a mean (standard deviation [SD]) age of 71 (12) years and a mean (SD) CHA2DS2-VASc score of 3.2 (1.7). Apixaban initiators had a significantly lower risk of stroke/SE (HR: 0.67, 95 % CI: 0.59–0.76) and major bleeding (HR: 0.60, 95 % CI: 0.54–0.65) than warfarin initiators. Different types of stroke/SE and major bleeding – including ischaemic stroke, haemorrhagic stroke, SE, intracranial haemorrhage, gastrointestinal bleeding, and other major bleeding – were all significantly lower for apixaban compared to warfarin treatment. Subgroup analyses (apixaban dosage, age strata, CHA2DS2-VASc or HAS-BLED score strata, or dataset source) all show consistently lower risks of stroke/SE and major bleeding associated with apixaban as compared to warfarin treatment. This is the largest “real-world” study on apixaban effectiveness and safety to date, showing that apixaban initiation was associated with significant risk reductions in stroke/SE and major bleeding compared to warfarin initiation after PSM. These benefits were consistent across various high-risk subgroups and both the standard-and low-dose apixaban dose regimens.Note: The review process for this manuscript was fully handled by Christian Weber, Editor in Chief.Supplementary Material to this article is available online at www.thrombosis-online.com.

Abstract P009: Growth Differentiation Factor 15 And The Subsequent Risk Of Atrial Fibrillation: The Atherosclerosis Risk In Communities Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Mengkun Chen ◽  
Ning Ding ◽  
Lena Mathews ◽  
Ron C Hoogeveen ◽  
Christie M Ballantyne ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Proportional Hazards ◽  
Troponin T ◽  
Cox Proportional Hazards ◽  
Atherosclerosis Risk In Communities ◽  
Growth Differentiation Factor 15 ◽  
Differentiation Factor ◽  
Cox Proportional Hazards Models ◽  
Increased Risk ◽  
Icd 10

Introduction: Growth differentiation factor 15 (GDF-15) is a marker of oxidative stress and inflammation and has been associated with several cardiovascular disease (CVD) phenotypes. However, conflicting results have been reported regarding the association of GDF-15 with incident atrial fibrillation (AF) in the general population. Hypotheses: Higher GDF-15 level is associated with increased risk of incident AF independent of potential confounders. Methods: In 10,101 White and Black ARIC participants (mean age 60 years and 20.9% Blacks) free of AF at baseline (1993-95), we quantified the association of GDF-15 and incident AF using three Cox proportional hazards models. GDF-15 was measured by SOMA scan assay. AF was defined by hospitalizations with AF diagnosis or death certificates (ICD-9 codes: 427.31-427.32; ICD-10 codes: I48.x) or AF diagnosis by ECG at subsequent ARIC visits. Results: There were 2165 cases of incident AF over a median follow-up of 20.7 years (incidence rate 12.1 cases/1,000 person-years). After adjusting for demographic characteristics and cardiovascular risk factors, log GDF-15 was significantly associated with incident AF (hazard ratio 1.42 (1.25-1.63) for top vs. bottom quartile) (Model 1 in Table ). The result was robust even further adjusting for history of other CVD phenotypes and cardiac markers (Models 2 and 3 in Table ). In Model 3, quartiles of high-sensitive cardiac troponin T (hs-cTnT) did not demonstrate significant associations with incident AF. Conclusions: In community-based population, elevated GDF-15 level was independently and robustly associated with incident AF (even more strongly than troponin). These results suggest the involvement of GDF-15 in the development of AF and the potential of GDF-15 as a risk marker to identify individuals at high risk of AF.

scholarly journals Plant-Based Diets and Incident CKD and Kidney Function

2019 ◽  
Vol 14 (5) ◽  
pp. 682-691 ◽  
Author(s):  
Hyunju Kim ◽  
Laura E. Caulfield ◽  
Vanessa Garcia-Larsen ◽  
Lyn M. Steffen ◽  
Morgan E. Grams ◽  
...  
Keyword(s):  
Kidney Function ◽  
Proportional Hazards ◽  
Population Based ◽  
Vegetarian Diet ◽  
Cox Proportional Hazards ◽  
Healthy Plant ◽  
Atherosclerosis Risk In Communities ◽  
Plant Foods ◽  
Cox Proportional Hazards Models ◽  
Middle Aged Adults

Background and objectivesThe association between plant-based diets, incident CKD, and kidney function decline has not been examined in the general population. We prospectively investigated this relationship in a population-based study, and evaluated if risk varied by different types of plant-based diets.Design, setting, participants, & measurementsAnalyses were conducted in a sample of 14,686 middle-aged adults enrolled in the Atherosclerosis Risk in Communities study. Diets were characterized using four plant-based diet indices. In the overall plant-based diet index, all plant foods were positively scored; in the healthy plant-based diet index, only healthful plant foods were positively scored; in the provegetarian diet, selected plant foods were positively scored. In the less healthy plant-based diet index, only less healthful plant foods were positively scored. All indices negatively scored animal foods. We used Cox proportional hazards models to study the association with incident CKD and linear mixed models to examine decline in eGFR, adjusting for confounders.ResultsDuring a median follow-up of 24 years, 4343 incident CKD cases occurred. Higher adherence to a healthy plant-based diet (HR comparing quintile 5 versus quintile 1 [HRQ5 versus Q1], 0.86; 95% confidence interval [95% CI], 0.78 to 0.96; P for trend =0.001) and a provegetarian diet (HRQ5 versus Q1, 0.90; 95% CI, 0.82 to 0.99; P for trend =0.03) were associated with a lower risk of CKD, whereas higher adherence to a less healthy plant-based diet (HRQ5 versus Q1, 1.11; 95% CI, 1.01 to 1.21; P for trend =0.04) was associated with an elevated risk. Higher adherence to an overall plant-based diet and a healthy plant-based diet was associated with slower eGFR decline. The proportion of CKD attributable to lower adherence to healthy plant-based diets was 4.1% (95% CI, 0.6% to 8.3%).ConclusionsHigher adherence to healthy plant-based diets and a vegetarian diet was associated with favorable kidney disease outcomes.

scholarly journals Comparative clinical outcomes between direct oral anticoagulants and warfarin among elderly patients with non-valvular atrial fibrillation in the CMS medicare population

2019 ◽  
Vol 48 (2) ◽  
pp. 240-249 ◽  
Author(s):  
Alpesh Amin ◽  
Allison Keshishian ◽  
Oluwaseyi Dina ◽  
Amol Dhamane ◽  
Anagha Nadkarni ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Lower Risk ◽  
Proportional Hazards ◽  
Oral Anticoagulants ◽  
Direct Oral Anticoagulants ◽  
Cox Proportional Hazards ◽  
Cardiac Events ◽  
Cox Proportional Hazards Models ◽  
Medicare Patients ◽  
Similar Risk

AbstractAtrial fibrillation (AF) prevalence increases with age; > 80% of US adults with AF are aged ≥ 65 years. Compare the risk of stroke/systemic embolism (SE), major bleeding (MB), net clinical outcome (NCO), and major adverse cardiac events (MACE) among elderly non-valvular AF (NVAF) Medicare patients prescribed direct oral anticoagulants (DOACs) vs warfarin. NVAF patients aged ≥ 65 years who initiated DOACs (apixaban, dabigatran, and rivaroxaban) or warfarin were selected from 01JAN2013-31DEC2015 in CMS Medicare data. Propensity score matching was used to balance DOAC and warfarin cohorts. Cox proportional hazards models estimated the risk of stroke/SE, MB, NCO, and MACE. 37,525 apixaban–warfarin, 18,131 dabigatran–warfarin, and 55,359 rivaroxaban–warfarin pairs were included. Compared to warfarin, apixaban (HR: 0.69; 95% CI 0.59–0.81) and rivaroxaban (HR: 0.82; 95% CI 0.73–0.91) had lower risk of stroke/SE, and dabigatran (HR: 0.88; 95% CI 0.72–1.07) had similar risk of stroke/SE. Apixaban (MB: HR: 0.61; 95% CI 0.57–0.67; NCO: HR: 0.64; 95% CI 0.60–0.69) and dabigatran (MB: HR: 0.79; 95% CI 0.71–0.89; NCO: HR: 0.84; 95% CI 0.76–0.93) had lower risk of MB and NCO, and rivaroxaban had higher risk of MB (HR: 1.08; 95% CI 1.02–1.14) and similar risk of NCO (HR: 1.04; 95% CI 0.99–1.09). Compared to warfarin, apixaban had a lower risk for stroke/SE, MB, and NCO; dabigatran had a lower risk of MB and NCO; and rivaroxaban had a lower risk of stroke/SE but higher risk of MB. All DOACs had lower risk of MACE compared to warfarin.

Non-Vitamin K Oral Anticoagulants in Comparison to Phenprocoumon in Geriatric and Non-Geriatric Patients with Non-Valvular Atrial Fibrillation

2019 ◽  
Vol 119 (06) ◽  
pp. 971-980 ◽  
Author(s):  
Christopher Hohmann ◽  
Stefan H. Hohnloser ◽  
Josephine Jacob ◽  
Jochen Walker ◽  
Stephan Baldus ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Vitamin K ◽  
Geriatric Patients ◽  
Proportional Hazards ◽  
Oral Anticoagulants ◽  
Cox Proportional Hazards ◽  
Intracranial Bleeding ◽  
P Values ◽  
Interaction Terms ◽  
Cox Proportional Hazards Models

AbstractGeriatric characteristics such as high age, multi-morbidity, polypharmacy and frailty are common in patients with atrial fibrillation (AF). In a retrospective study using a German claims database, effectiveness (ischaemic stroke/systemic embolism) and safety (intracerebral, gastrointestinal and major extracranial bleeding) were compared in patients with non-valvular AF starting non-vitamin K oral antagonists (NOACs) (apixaban, dabigatran and rivaroxaban) and phenprocoumon. Cox proportional hazards models were used to calculate adjusted hazard ratios, and interaction terms of the treatment group and geriatric status (defined by age ≥75 years, frailty, ≥ 4 co-morbidities and polypharmacy) were entered into the model. A total of 42,562 and 27,939 patients initiated NOAC and phenprocoumon treatment (mean age 74 years ± 11, 51% male) with a follow-up time of 147,785 person-years. Note that 52.9% of patients were elderly, 50.8% were frail, 37.0% were co-morbid and 46.5% had polypharmacy. NOAC use was not associated with effectiveness and gastrointestinal bleeding, neither in geriatric nor in non-geriatric patients. The hazard of major extracranial and intracranial bleeding was significantly decreased for NOAC use, with similar risk reduction in geriatric and non-geriatric patients: major extracranial bleeding 0.70 (95% confidence interval [CI], 0.56–0.87) to 0.73 (95% CI, 0.60–0.89) for the geriatric groups and 0.71 (95% CI, 0.56–0.93) to 0.76 (0.59–0.98) for the non-geriatric groups (p-values for interaction > 0.6); and intracranial bleeding 0.52 (95% CI, 0.39–0.69) to 0.59 (95% CI, 0.47–0.73) for the geriatric groups and 0.54 (95% CI, 0.37–0.79) to 0.65 (95% CI, 0.49–0.86) for the non-geriatric groups (p-values for interaction > 0.2). Hence, NOACs showed similar effectiveness and superior safety in geriatric and non-geriatric patients.

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