P10 A possible link between sarcopenia and major bleeding risk among patients with atrial fibrillation treated with oral anticoagulation undergoing coronary stenting

2020 ◽  
Vol 41 (Supplement_1) ◽  
Author(s):  
K Tsuchida ◽  
K Tanaka ◽  
K Nakano ◽  
R Akagawa ◽  
N Oyanagi ◽  
...  

Abstract Background/Introduction In patients with atrial fibrillation (AF) undergoing percutaneous coronary intervention (PCI) with stent implantation, oral anticoagulation (OAC) plus dual antiplatelet therapy (DAPT) increases the risk of bleeding. The PRECISE-DAPT (P-DAPT) and DAPT scores were created to predict increased bleeding versus ischemic risk in patients undergoing DAPT. However, not much information is available on predicting bleeding risk associated with OAC concomitant with DAPT in patients with AF treated with coronary stents. Physical frailty or sarcopenia is considered an emerging predictor for bleeding in AF patients. Purpose To investigate the relationship between skeletal muscle mass and major bleeding risk in AF patients undergoing PCI and subsequent OAC and DAPT. Methods A total of 1,234 consecutive patients after PCI using newer-generation drug eluting stents were evaluated. An anti-thrombotic regimen without OAC was given to 1,077 patients, whereas OAC was required in 157 patients (12.7%) including AF (n = 96). The P-DAPT, DAPT, and HAS-BLED scores were calculated for each of the patients. Any out-of-hospital major bleeding events were identified based on BARC criteria during a median follow-up of 2.9 years. The fat-free mass index (FFMI; kg/m2) was calculated to evaluate skeletal muscle mass as follows: (7.38 + 0.02908 × urinary creatinine (mg/day)) / (height squared (m2)). A Cox proportional hazards model was used to test the significance of the FFMI and these risk scores as predictors of major bleeding, defined as BARC 3 or 5 events in AF patients. The receiver operating characteristic curve (ROC) analyses were used to examine the predictive ability of the FFMI and these scores to identify patients with major bleeding events. Results Major bleeding events were observed in 9 (9.3%) patients. Major bleeding was associated with a lower FFMI (hazard ratio [HR] 0.53; 95% confidence interval [CI] 0.36-0.79; p = 0.002), and higher P-DAPT score (HR, 1.07; 95% CI, 1.02-1.11; p = 0.003), but not with the DAPT (HR, 0.71; 95% CI, 0.45-1.12; p = 0.147) and the HAS-BLED score (HR, 1.00; 95% CI, 0.48-2.09; p = 0.990). In the non-OAC cohort, major bleeding was related to a higher P-DAPT score (HR, 1.05; 95% CI, 1.02-1.07; p < 0.0001), but the FFMI (HR, 0.89; 95% CI, 0.73-1.09; p = 0.265) and the DAPT score were not correlated. C-statistics for major bleeding events were 0.82 (95% CI, 0.71-0.93, p = 0.001) for the FFMI and 0.79 (95% CI, 0.68-0.90, p = 0.004) for the P-DAPT score. Conclusions Assessment of the FFMI for screening sarcopenia is useful to predict major bleedings specifically in patients with AF undergoing coronary stenting. Both the FFMI and P-DAPT could successfully predict major bleedings in AF patients after PCI. Whether novel bleeding risk scores combined with measuring body composition adequately identify high risk patients needs to be validated.

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
L Bergamaschi ◽  
A Stefanizzi ◽  
M Coriano ◽  
P Paolisso ◽  
I Magnani ◽  
...  

Abstract Background Several risk scores have been proposed to assess the bleeding risk in patients with Atrial Fibrillation. Purpose To compare the efficacy of HAS-BLED, ATRIA and ORBIT scores to predict major bleedings in newly diagnosed non-valvular AF (NV-AF) treated with vitamin K antagonists (VKAs) or new oral anticoagulants (NOACs). Methods We analyzed all consecutive patients with AF at our outpatient clinic from January to December 2017. Only those with new diagnosed NV-AF starting new anticoagulant therapy were enrolled. Major hemorrhagic events were defined according to the ISTH definition in non-surgical patients. Results Out of the 820 patients admitted with AF, 305 were newly diagnosed with NV-AF starting oral anticoagulation. Overall, 51.3% were male with a mean age of 72.6±13.7 years. Thirty-six patients (11.8%) started VKAs whereas 269 (88.2%) patients were treated with NOACs. The median follow-up time was 10.4±3.4 months. During follow-up, 123 (32.2%) bleeding events were recorded, 21 (17,1%) in the VKA group and 102 (82,9%) in the NOAC group. Eleven (2.9%) major bleeding events occurred: 5 (45.5%) in the VKA group and 6 (54.5%) in the NOAC group. Overall, patients with major hemorrhagic events showed a mean value of the scores significantly higher when compared to patients without such bleeding complications (HASBLED 3.4 vs 2.4 p=0.007; ATRIA 5.6 vs 2.4 p<0.001; ORBIT 3.6 vs 1.8 p<0,001). Conversely, when analyzing the VKA subgroup, only the ATRIA score was significantly higher in patients with major adverse events (7.4 vs 3.5 p<0.001; HAS-BLED: 4.4 vs 3.6 p=0.27; ORBIT 4.4 vs 2.9 p=0.13). An ATRIA score ≥4 identified patients at high risk of bleeding (29.4% vs. 0% events. respectively, p=0.04). In the NOAC group, patients with major bleeding events had higher mean values of ATRIA (4.0 vs 2.3 p=0.02) and ORBIT (2.8 vs 1.6 p=0,04) but not the HAS-BLED (2.5 vs 2.3 p=0.57) scores. Similarly, patients on NOACs with an ATRIA score ≥4 had higher rates of major bleedings (8.1% vs. 1.6% p=0,02). Comparing the single elements of the ATRIA score, only glomerular filtration rate <30 ml/min/1.73 mq was associated with major bleedings in the VKA group (p<0.001) whereas, in the NOAC group, anemia was strongly associated with bleeding events (p=0,02). In fact, multivariate analysis in the NOAC group showed that hemoglobin level at admission was an independent predictor for major bleeding events (OR 0.41, 95% CI 0.23–0.75, P=0.003). Conversely, in the VKA group, baseline creatinine level was an independent predictor for these events (OR 12.76, 95% CI 1.6–101.7, P=0.016). Conclusions The ATRIA score showed the best efficacy in predicting major bleeding events. Hemoglobin and creatinine levels at admission were independent predictors for major hemorrhagic events in the NOAC and in the VKA groups, respectively. The latter finding might be helpful in stratifying the hemorrhagic risk at the beginning of treatment.


BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e022478 ◽  
Author(s):  
Miklos Rohla ◽  
Thomas W Weiss ◽  
Ladislav Pecen ◽  
Giuseppe Patti ◽  
Jolanta M Siller-Matula ◽  
...  

ObjectivesWe identified factors associated with thromboembolic and bleeding events in two contemporary cohorts of anticoagulated patients with atrial fibrillation (AF), treated with either vitamin K antagonists (VKA) or non-VKA oral anticoagulants (NOACs).DesignProspective, multicentre observational study.Setting461 centres in seven European countries.Participants5310 patients receiving a VKA (PREvention oF thromboembolic events - European Registry in Atrial Fibrillation (PREFER in AF), derivation cohort) and 3156 patients receiving a NOAC (PREFER in AF Prolongation, validation cohort) for stroke prevention in AF.Outcome measuresRisk factors for thromboembolic events (ischaemic stroke, systemic embolism) and major bleeding (gastrointestinal bleeding, intracerebral haemorrhage and other life-threatening bleeding).ResultsThe mean age of patients enrolled in the PREFER in AF registry was 72±10 years, 40% were female and the mean CHA2DS2-VASc Score was 3.5±1.7. The incidence of thromboembolic and major bleeding events was 2.34% (95% CI 1.93% to 2.74%) and 2.84% (95% CI 2.41% to 3.33%) after 1-year of follow-up, respectively.Abnormal liver function, prior stroke or transient ischaemic attack, labile international normalised ratio (INR), concomitant therapy with antiplatelet or non-steroidal anti-inflammatory drugs, heart failure and older age (≥75 years) were independently associated with both thromboembolic and major bleeding events.With the exception of unstable INR values, these risk factors were validated in patients treated with NOACs (PREFER in AF Prolongation Study, 72±9 years, 40% female, CHA2DS2-VASc 3.3±1.6). For each single point decrease on a modifiable bleeding risk scale we observed a 30% lower risk for major bleeding events (OR 0.70, 95% CI 0.64 to 0.76, p<0.01) and a 28% lower rate of thromboembolic events (OR 0.72, 95% CI 0.66 to 0.82, p<0.01).ConclusionAttending to modifiable risk factors is an important treatment target in anticoagulated AF patients to reduce thromboembolic and bleeding events. Initiation of anticoagulation in those at risk of stroke should not be prevented by elevated bleeding risk scores.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Michele Murphy ◽  
William Maddox ◽  
Stan Nahman ◽  
Matthew Diamond ◽  
Robert Sorrentino ◽  
...  

Introduction: Hemodialysis patients (HD pts) with atrial fibrillation (AF) have increased risk of stroke. The HASBLED (Hypertension (HTN), Abnl Renal/Liver Function, Stroke, Bleeding Hx, Labile INR, Elderly, Drugs/Alcohol) risk score predicts bleeding in the general AF population. It is unknown whether the HASBLED score can be applied to HD pts who are at additional bleeding risk due to uremic platelet dysfunction and the regular use of heparin. Hypothesis: To address this question, we queried the United States Renal Data System (USRDS) for bleeding events in HD pts with AF, and correlated those events with a modified HASBLED (mHASBLED) score. Methods: All incident HD pts with AF from the USRDS for 2006-2010 were queried for major bleeding events and mHASBLED parameters using ICD-9 diagnosis codes and data from CMS form 2728. For mHASBLED, the HTN parameter was defined as "HTN as the cause of renal failure", and labile INR as > 16 INRs/yr, but all other parameters could be derived from the dataset. Logistic regression (LR) analysis was used to estimate the odds ratio (OR) for the mHASBLED score to predict major bleeding events. Results: 74,631 HD pts had AF, and 9.8% had a major bleeding event (GI bleeding and hemorrhagic stroke). By univariate analysis, those who bled were more likely to be elderly, have an underlying cause of renal disease due to HTN, prior bleeding event, hepatitis C, labile INR, and be on oral anticoagulants. By LR, variables with the greatest impact on bleeding were HTN as a cause of underlying renal disease, prior bleeding history, and labile INR (OR of 1.10, 2.20 and 2.24, respectively). The OR for bleeding events increased by 1.28 for each unit increase in mHASBLED. Older age, prior stroke, abnormal renal or liver function, and drug use had the least effect. Note that the lowest possible score in this cohort is 1, given that all patients had renal failure. Conclusions: In HD pts with AF, the mHASBLED predicts major bleeding events. The universal presence of renal disease, and the lack of specific clinical data from the USRDS may limit the clinical precision of a given score, however mHASBLED may remain a useful indicator of bleeding risk in this population.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
L Fauchier ◽  
A Bisson ◽  
A Bodin ◽  
N Clementy ◽  
B Pierre ◽  
...  

Abstract Background Charlson comorbidity index (CCI) is a tool to measure comorbid disease status and a strong estimator of mortality. The quantifiable frailty phenotype has also been validated as predictive of mortality and disability. Claims data can be used to classify individuals as frail and non-frail using the Claims-based Frailty Index (CFI). We evaluated whether these tools may help to predict the risk of bleeding in patients with atrial fibrillation (AF). Methods All patients with AF seen in an academic institution were identified and followed up for mortality, stroke and bleeding events. HAS-BLED, HEMORR2HAGES, ATRIA and ORBIT scores, CCI and CFI were calculated for each patient. Hazard ratios were calculated and predictive abilities of the scores were compared using the c-statistic in the whole population and then separately in elderly patients (>75 yo). Results Among 8962 patients with AF, 274 major bleeding events were recorded during a follow-up of 874±1054 days. Bleeding occurred more commonly in patients with higher bleeding risk scores, CCI and CFI. The 4 bleeding risk scores significantly had lower c-statistics than CCI and CFI for predicting major bleeding (table). Results were similar whether patients were treated with OAC or no OAC. In elderly patients, the c-statistics were all lower and were not significantly different for the 4 scores, CCI and CFI scores (0.594, 0,572, 0.595, 0.594, 0.616 and 0.591 for HAS-BLED, HEMORR2HAGES, ATRIA, ORBIT, CCI and CFI, respectively). Predictive values for major bleeding ROC Area 95% Conf. Interval P value vs CCI/CFI HASBLED 0.588 0.555–0.621 0.002/0.003 HEMORR2HAGES 0.564 0.531–0.598 <0.0001/<0.0001 ATRIA 0.559 0.522–0.595 <0.0001/<0.0001 ORBIT 0.577 0.542–0.612 0.0002/0.0003 Charlson, CCI 0.652 0.619–0.684 –/0.58 Frailty index, CFI 0.648 0.615–0.681 0.58/– Conclusion Comorbidities and frailty, respectively assessed with CCI and CFI, demonstrated statistically better performances in predicting major bleeding than the 4 established bleeding risk scores in AF, although all c-indexes were broadly similar. The 4 bleeding risk scores, CCI and CFI showed lower performance in predicting bleeding within elderly patients in whom they all performed equally to predict bleeding events. Given their simplicity and similar performances, the user-friendly bleeding risk scores remain attractive tools for the estimation of bleeding risk in elderly patients with AF.


2017 ◽  
Vol 117 (10) ◽  
pp. 1848-1858 ◽  
Author(s):  
Vanessa Roldán ◽  
Vicente Vicente ◽  
Mariano Valdés ◽  
Gregory Y. H. Lip ◽  
María Asunción Esteve-Pastor ◽  
...  

SummaryRisk scores in patients with atrial fibrillation (AF) based on clinical factors alone generally have only modest predictive value for predicting high risk patients that sustain events. Biomarkers might be an attractive prognostic tool to improve bleeding risk prediction. The new ABCBleeding score performed better than HAS-BLED score in a clinical trial cohort but has not been externally validated. The aim of this study was to analyze the predictive performance of the ABC-Bleeding score compared to HAS-BLED score in an independent “real-world” anticoagulated AF patients with long-term follow-up. We enrolled 1,120 patients stable on vitamin K antagonist treatment. The HAS-BLED and ABC-Bleeding scores were quantified. Predictive values were compared by c-indexes, IDI, NRI, as well as decision curve analysis (DCA). Median HAS-BLED score was 2 (IQR 2–3) and median ABC-Bleeding was 16.5 (IQR 14.3–18.6). After 6.5 years of follow-up, 207 (2.84%/year) patients had major bleeding events, of which 65 (0.89%/year) had intracranial haemorrhage (ICH) and 85 (1.17%/year) had gastrointestinal bleeding events (GIB). The c-index of HAS-BLED was significantly higher than ABC-Bleeding for major bleeding (0.583 vs 0.518; p=0.025), GIB (0.596 vs 0.519; p=0.017) and for the composite of ICH-GIB (0.593 vs 0.527; p=0.030). NRI showed a significant negative reclassification for major bleeding and for the composite of ICH-GIB with the ABC-Bleeding score compared to HAS-BLED. Using DCAs, the use of HAS-BLED score gave an approximate net benefit of 4% over the ABC-Bleeding score. In conclusion, in the first “real-world” validation of the ABC-Bleeding score, HAS-BLED performed significantly better than the ABC-Bleeding score in predicting major bleeding, GIB and the composite of GIB and ICH.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.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L Fauchier ◽  
A Bisson ◽  
A Bodin ◽  
J Herbert ◽  
N Clementy ◽  
...  

Abstract Background Frailty and multimorbidity are common in patients with atrial fibrillation (AF). The quantifiable frailty phenotype has been validated as predictive of mortality and disability, and patients can be categorised as frail and non-frail using the Claims-based Frailty Index (CFI). The Charlson comorbidity index (CCI) is a tool to quantify multimorbidity and also a strong estimator of mortality. We evaluated whether frailty and multimorbidity are associated with the risk of major bleeding in patients with AF. Methods Based on the administrative hospital-discharge database, we collected information for all patients with AF between 2010 and 2019 in France. CCI and CFI were calculated for each patient, and their associated risks of bleeding compared to 4 bleeding risk scores (HAS-BLED, HEMORR2HAGES, ATRIA and ORBIT). The analysis focused on patients with events or with at least one year of follow-up. Predictive abilities of the scores were compared in the whole population, and then separately in the subgroup of elderly patients (&gt;75 yo). Results Among 1,372,567 patients with AF, 131,535 major bleeding events were recorded during a follow-up of 3.5±2.1 years (median 3.1, IQR 1.8–4.9) (yearly rate 2.7%). Bleeding occurred more commonly in patients with higher HAS-BLED, ATRIA, CCI and CFI scores. Those with high frailty and multimorbidity had markedly higher yearly incidences of bleeding events of 13.0% and 14.7%, respectively (vs low frailty and multimorbidity: 4.3%% and 4.1%, respectively; p&lt;0.001). The 4 bleeding risk scores significantly had lower c-statistics than CCI and CFI for predicting major bleeding (table). In elderly patients (n=853,833), the c-statistics were all lower than in the whole population and were lower for the 4 scores than for the CCI and CFI scores (0.463, 0.473, 0.443, 0.445, 0.622 and 0.620 for HAS-BLED, ATRIA, ORBIT, HEMORR2HAGES, CCI and CFI, respectively). Conclusion Multimorbidity and frailty, respectively assessed with CCI and CFI, demonstrated statistically better performances in predicting major bleeding than the 4 established bleeding risk scores in AF. Funding Acknowledgement Type of funding source: None


Author(s):  
Alexandra Jayne Nelson ◽  
Brian W Johnston ◽  
Alicia Achiaa Charlotte Waite ◽  
Gedeon Lemma ◽  
Ingeborg Dorothea Welters

Background. Atrial fibrillation (AF) is the most common cardiac arrhythmia in critically ill patients. There is a paucity of data assessing the impact of anticoagulation strategies on clinical outcomes for general critical care patients with AF. Our aim was to assess the existing literature to evaluate the effectiveness of anticoagulation strategies used in critical care for AF. Methodology. A systematic literature search was conducted using MEDLINE, EMBASE, CENTRAL and PubMed databases. Studies reporting anticoagulation strategies for AF in adults admitted to a general critical care setting were assessed for inclusion. Results. Four studies were selected for data extraction. A total of 44087 patients were identified with AF, of which 17.8-49.4% received anticoagulation. The reported incidence of thromboembolic events was 0-1.4% for anticoagulated patients, and 0-1.3% in non-anticoagulated patients. Major bleeding events were reported in three studies and occurred in 7.2-8.6% of the anticoagulated patients and up to 7.1% of the non-anticoagulated patients. Conclusions. There was an increased incidence of major bleeding events in anticoagulated patients with AF in critical care compared to non-anticoagulated patients. There was no significant difference in the incidence of reported thromboembolic events within studies, between patients who did and did not receive anticoagulation. However, the outcomes reported within studies were not standardised, therefore, the generalisability of our results to the general critical care population remains unclear. Further data is required to facilitate an evidence-based assessment of the risks and benefits of anticoagulation for critically ill patients with AF.


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