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Predictive factors associated with bleeding in atrial fibrillation patients treated with anti-coagulant drugs using a large claims database.

ABSTRACT: OBJECTIVE:To identify risk factors for bleeding in atrial fibrillation (AF) patients treated with anti-coagulants such as warfarin, apixaban, edoxaban, dabigatran, rivaroxaban using a large claims database. METHODS:A claims database for 8926 AF patients from 2004 to 2016 was obtained from JMDC. Inc. We performed a retrospective cohort study in 2796 Japanese AF patients with 4-month screening and 12-month observation periods. Polypharmacy was defined as prescription of over six drugs. Logistic regression analysis was conducted after stratification based on the presence and absence of cerebrovascular diseases to detect the predictive factors for bleeding. RESULTS:Polypharmacy was observed in 815 of 2796 (29.1%) patients. A total of 371 AF patients (13.3%) experienced bleeding in the 12-month observation period. Bleeding risk assessment using multiple logistic regression analysis revealed that the odds ratio for the number of co-administered drugs in the elderly (age for ?60, ?74) was not significant in those without and with cerebrovascular diseases (1.05 [0.99-1.12], N.S. and 1.10 [0.96-1.27], N.S.). In contrast, in the young (age for <60), the number of co-administered drugs was a significant predictive factor in those without and with cerebrovascular diseases (1.09 [1.03-1.16], p = 0.0054 and 1.20 [1.05-1.36], p = 0.0059). Other observed predictors were"history of bleeding" in young and elderly, but "polypharmacy" and "start from warfarin" were observed in only young. CONCLUSION:We determined the bleeding risk in the clinical setting using a large claims database. Physicians and pharmacists need to monitor patients for the initial bleeding signs, particularly in those with these predictive risk factors.

SUBMITTER: Momo K

PROVIDER: S-EPMC7458330 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Predictive factors associated with bleeding in atrial fibrillation patients treated with anti-coagulant drugs using a large claims database.

Momo Kenji K Shu-Toh Kana K Kaneko Makiko M Yamanaka Nauta N Oto Yuji Y Tanaka Katsumi K Koinuma Masayoshi M Sasaki Tadanori T

PloS one 20200831 8

<h4>Objective</h4>To identify risk factors for bleeding in atrial fibrillation (AF) patients treated with anti-coagulants such as warfarin, apixaban, edoxaban, dabigatran, rivaroxaban using a large claims database.<h4>Methods</h4>A claims database for 8926 AF patients from 2004 to 2016 was obtained from JMDC. Inc. We performed a retrospective cohort study in 2796 Japanese AF patients with 4-month screening and 12-month observation periods. Polypharmacy was defined as prescription of over six dru ...[more]

PMID: 32866192

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Project description:Essentials Currently, DOACs are given at fixed doses and do not require laboratory monitoring. Direct oral anticoagulant-specific measurements were performed at trough and peak. Patients who developed bleeding events showed higher DOAC plasma levels at peak. This study suggests the need of a more accurate DOAC dose assessment.BackgroundDirect oral anticoagulants (DOACs) are administered at fixed dose. The aim of the study was to evaluate the relationship between DOAC C-trough or C-peak plasma levels and bleeding complications in patients with non-valvular atrial fibrillation (NVAF).MethodsFive hundred sixty five consecutive naive NVAF patients were enrolled. The DOAC measurements at C-trough and at C-peak (available in 411 patients) were performed at steady state, within the first month of treatment. Major bleeding (MB), clinically relevant non-major bleeding (CRNMB), and minor bleeding (MinB), occurring during 1 year of follow-up after blood sampling, were recorded. For each DOAC, interval of C-trough and C-peak levels was subdivided into four equal classes and results were attributed to these classes; the median values of results were also calculated.ResultsTwo hundred eight patients were on apixaban, 185 on dabigatran, and 172 on rivaroxaban. For 1-[qqqdeletezzz] year follow up for all patients, we observed: 19 MB (3.36%), 6 CRNMB (1.06%), and 47 MinB (8.31%). The prevalence of bleeding patients with anticoagulant levels in the upper classes of C-peak activity (II + III + IV) was higher than that in the lowest class. Normalized results of C-peak levels were higher in patients with bleeding than in those without bleeding.ConclusionsBleeding complications during DOAC treatment were more frequent among atrial fibrillation (AF) patients with higher C-peak anticoagulant levels. In addition to a previous study that showed an increased risk of thrombotic complications in the patients with low C-trough levels, this study seems to indicate that patients with NVAF on DOACs would need a more accurate definition of their optimal therapeutic window.

Project description:BackgroundA previous FDA study reported a favorable benefit risk for apixaban compared with warfarin for stroke prevention in older non-valvular atrial fibrillation (NVAF) patients (≥ 65 years). However, it remains unclear whether this favorable benefit risk persists in other populations including younger users. We examined if a similar benefit risk was observed in the Sentinel System and if it varied by age group.ObjectiveTo examine the risk of ischemic stroke, gastrointestinal (GI) bleeding, and intracranial hemorrhage (ICH) in apixaban users compared with warfarin users in Sentinel Distributed Database (SDD).Design and participantsA retrospective new user cohort study was conducted among patients, 21 years and older initiating apixaban and warfarin for NVAF, between December 28, 2012, and June 30, 2018, in the SDD.Main measuresCox proportional hazard regression was used to estimate the hazard ratios (HR) and 95% confidence intervals (95% CI) for each outcome (ischemic stroke, GI bleeding, and ICH) in propensity score matched apixaban users compared with the warfarin users. Subgroup analyses by age (21-64, 65-74, and 75+ years) were conducted.Key resultsAfter matching, 55.3% and 58.4% (n = 55,038) of the apixaban and warfarin users were included in the main analysis. GI bleeding was the most common outcome. The HR (95% CI) for GI bleeding, ICH, and ischemic stroke in apixaban users compared with warfarin users were 0.57 (0.50-0.66), 0.53 (0.40-0.70), and 0.56 (0.45-0.71) respectively. The reduced risk of these outcomes in apixaban compared with warfarin users persisted across age groups.ConclusionIn NVAF patients of all ages initiating either apixaban or warfarin for stroke prevention in the Sentinel System, apixaban was associated with a decreased risk of GI bleeding, ICH, and ischemic stroke compared with warfarin. Among patients less than 65 years of age, apixaban use was associated with a decreased risk of GI bleeding and ischemic stroke.

Project description:BackgroundThe predictive value of bleeding risk scores for atrial fibrillation in older patients is not as well known. The goal of this study was to evaluate the predictive value of HASBLED, ORBIT and ATRIA for major bleeding (MB) and intracranial hemorrhage (ICH) in patients ≥ 75 years with atrial fibrillation and oral anticoagulation (OAC).MethodsA retrospective unicenter study including patients ≥ 75 years with atrial fibrillation (AF) and OAC. A total of 7613 patients ≥ 75 years with AF and OAC included between 2014 and 2018 (registry: NCT04364516). We analyzed the discriminative value of HASBLED, ATRIA and ORBIT scores for bleeding endpoints (major bleeding as primary endpoint and intracerebral hemorrhage as secondary). Cox regression was used to predict major bleeding with each scale and also for searching other variables potentially predictor of major bleeding. Model discrimination was assessed using Harrell's C-statistic. Calibration was assessed with goodness-of-fit test proposed by Gronnesby and Borgan.ResultsDuring a mean follow up of 4.0 years (IQR: 2.4-5.7 years), 729 patients developed MB (2.61 per 100 patients/year) and 243 patients developed ICH (0.85 per 100 patients/year). Three scores showed a low discrimination for major bleeding, being ORBIT the best (HASBLED C statistic = 0.557; ATRIA C statistic = 0.568; ORBIT C statistic = 0.595) and also a low discrimination for ICH (HASBLED C statistic = 0.509; ATRIA C statistic = 0.522; ORBIT C statistic = 0.526). Among the variables that are part of the scores and other baseline characteristics, after multivariable adjustment only sex (male), dementia, prior admission for bleeding, anemia and liver disease were found as a predictors of MB.ConclusionsIn older patients under oral anticoagulation with atrial fibrillation, the risk scores HASBLED, ATRIA and ORBIT showed a weak discrimination for major bleeding and intracranial hemorrhage. Therefore, other better alternatives should be evaluated for this purpose.

Project description:BackgroundSchemas to identify bleeding-related hospitalizations in claims data differ in billing codes used and coding positions allowed. We assessed agreement across bleeding-related hospitalization coding schemas for claims analyses of nonvalvular atrial fibrillation (NVAF) patients on oral anticoagulation (OAC).HypothesisWe hypothesized that prior coding schemas used to identify bleeding-related hospitalizations in claim database studies would provide varying levels of agreement in incidence rates.MethodsWithin MarketScan data, we identified adults, newly started on OAC for NVAF from January 2012 to June 2015. Billing code schemas developed by Cunningham et al., the US Food and Drug Administration (FDA) Mini-Sentinel program, and Yao et al. were used to identify bleeding-related hospitalizations as a surrogate for major bleeding. Bleeds were subcategorized as intracranial hemorrhage (ICH), gastrointestinal (GI), or other. Schema agreement was assessed by comparing incidence, rates of events/100 person-years (PYs), and Cohen's kappa statistic.ResultsWe identified 151 738 new-users of OAC with NVAF (CHA2DS2-VASc score = 3, [interquartile range = 2-4] and median HAS-BLED score = 3 [interquartile range = 2-3]). The Cunningham, FDA Mini-Sentinel, and Yao schemas identified any bleeding-related hospitalizations in 1.87% (95% confidence interval [CI]: 1.81-1.94), 2.65% (95% CI: 2.57-2.74), and 4.66% (95% CI: 4.55-4.76) of patients (corresponding rates = 3.45, 4.90, and 8.65 events/100 PYs). Kappa agreement across schemas was weak-to-moderate (κ = 0.47-0.66) for any bleeding hospitalization. Near-perfect agreement (κ = 0.99) was observed with the FDA Mini-Sentinel and Yao schemas for ICH-related hospitalizations, but agreement was weak when comparing Cunningham to FDA Mini-Sentinel or Yao (κ = 0.52-0.53). FDA Mini-Sentinel and Yao agreement was moderate (κ = 0.62) for GI bleeding, but agreement was weak when comparing Cunningham to FDA Mini-Sentinel or Yao (κ = 0.44-0.56). For other bleeds, agreement across schemas was minimal (κ = 0.14-0.38).ConclusionsWe observed varying levels of agreement among 3 bleeding-related hospitalizations schemas in NVAF patients.

Project description:BackgroundThe use of anticoagulants and antiplatelet therapies is associated with a higher risk of bleeding in atrial fibrillation (AF) patients after percutaneous coronary intervention, especially after stent implantation. However, no accurate bleeding risk prediction tool has been developed for these patients. The aim of this study was thus to establish a bleeding risk prediction model (predictive nomogram) for patients with AF after stent implantation.MethodsConstruction of the predictive nomogram was based on a retrospective study, which enrolled 943 AF patients who underwent drug-eluting stent implantation between May 2012 and September 2016. A range of factors, including demographics, comorbidities, medication strategies, arterial access, and laboratory tests, were collected as baseline data. The least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression analysis were used to identify the key clinical features for construction of the predictive nomogram. The concordance index (C-index) and internal validation were used to evaluate the efficacy of the nomogram.ResultsOf the 943 AF patients that underwent stent implantation, the occurrence of bleeding events was 8.2% (77 out of 943). Key predictors included the number of antiplatelet drugs, peptic ulcer, cerebral infarction, type 2 diabetes, thrombocytopenia, anemia, prior myocardial infarction, sex (male), use of anticoagulant drugs, liver dysfunction, hypertension, and acute myocardial infarction. These predictors were used to construct the nomogram. The C-index for the prediction of bleeding risk by the nomogram was 0.841 (95% CI: 0.79-0.89), which indicated good discrimination and calibration. The C-index of internal validation was 0.795, which demonstrated good efficacy of the model.ConclusionsThis study suggests that our novel nomogram can accurately predict bleeding risk in AF patients after stent implantation during hospitalization, thereby helping to avoid complications. The nomogram may also be helpful for the creation of individualized post-discharge medication strategies.

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Predictive factors associated with bleeding in atrial fibrillation patients treated with anti-coagulant drugs using a large claims database.

Publications

Predictive factors associated with bleeding in atrial fibrillation patients treated with anti-coagulant drugs using a large claims database.

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