Risk Assessment In Atrial Fibrillation Research Articles

Innovative Approaches in Therapeutic Clinical Nutrition: Enhancing Quality of Care through Technology

Background: This systematic review explores a diverse range of international and indigenous healthcare research studies, spanning topics from diabetes management to cardiovascular care. The synthesis aims to identify overarching themes, sub-themes, and emerging trends in healthcare practices, emphasizing the integration of digital technologies and advancements in nutrition therapy. Aim: The primary objective is to provide a comprehensive overview of healthcare literature, combining international and indigenous perspectives, to uncover commonalities and distinctions in approaches to patient care, treatment modalities, and research methodologies. Method: A systematic and thorough review of 20 selected studies, encompassing international and Saudi Arabian research, was conducted. The studies, published between 2020 and 2024, were analyzed for their key themes, sub-themes, and trends, creating a detailed understanding of the current landscape of healthcare practices. Results: The synthesis revealed recurring themes, including the integration of digital technologies in diabetes care, advancements in medical nutrition therapy for obesity management, dynamic risk assessment in atrial fibrillation, and the potential of genetically modified food for nutritional security in Saudi Arabia. Sub-themes elucidated nuanced aspects of these overarching themes, offering a holistic perspective on contemporary healthcare strategies. Conclusion: International and indigenous research studies collectively underscore the importance of collaborative and context-specific approaches to healthcare. While global insights contribute to a broader understanding, indigenous studies emphasize the necessity of tailoring interventions to local needs. The synthesis not only highlights current achievements in healthcare but also identifies areas for further exploration and improvement.

Novel Genes Associated With Atrial Fibrillation and the Predictive Models for AF Incorporating Polygenic Risk Score and PheWAS-Derived Risk Factors

BackgroundAtrial fibrillation (AF), the most common atrial arrhythmia, presents with varied clinical manifestations. Despite the identification of genetic loci associated with AF, particularly in specific populations, research within Asian ethnicities remains limited. In this study we aimed to develop predictive models for AF using AF-associated single-nucleotide polymorphisms (SNPs) from a genome-wide association study (GWAS) on a substantial cohort of Taiwanese individuals, to evaluate the predictive efficacy of the model. MethodsThere were 75,121 subjects, that included 5694 AF patients and 69,427 normal control subjects with GWAS data, and we merged polygenic risk scores from AF-associated SNPs with phenome-wide association study-derived risk factors. Advanced statistical and machine learning techniques were used to develop and evaluate AF predictive models for discrimination and calibration. ResultsThe study identified the top 30 significant SNPs associated with AF, predominantly on chromosomes 10 and 16, implicating genes like NEURL1, SH3PXD2A, INA, NT5C2, STN1, and ZFHX3. Notably, INA, NT5C2, and STN1 were newly linked to AF. The GWAS predictive power using polygenic risk score-continuous shrinkage analysis for AF exhibited an area under the curve of 0.600 (P < 0.001), which improved to 0.855 (P < 0.001) after adjusting for age and sex. Phenome-wide association study analysis showed the top 10 diseases associated with these genes were circulatory system diseases. ConclusionsIntegrating genetic and phenotypic data enhanced the accuracy and clinical relevance of AF predictive models. The findings suggest promise for refining AF risk assessment, enabling personalized interventions, and reducing AF-related morbidity and mortality burdens.

P-Wave Indices for Risk Assessment of Atrial Fibrillation in Chagas Disease

P-Wave Indices for Risk Assessment of Atrial Fibrillation in Chagas Disease

The Role of Hematological Parameters in Atrial Fibrillation Risk Assessment

Atrial fibrillation (AF) is an irregular and rapid heartbeat in the heart’s atrial chambers. Conversely, haematological parameters are commonly utilized in clinical settings to evaluate overall health and disease. Our research explored the potential role of haematological parameters in atrial fibrillation within the Pakistani population. In this case-control a total of 400 participants were enrolled from the Punjab Institute of Cardiology, Lahore, Pakistan. The participants were divided into two groups: a control group comprising 200 healthy individuals, and an AF group consisting of 200 individuals diagnosed with atrial fibrillation. Haematological parameters were assessed using an automated hematology analyzer. The AF group had higher levels of white blood cells, red blood cells, and mean corpuscular volume as compared to control group. Conversely, lower levels of haemoglobin, hematocrit, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration and platelets were observed in AF group compared to control group. In conclusion, our research established a significant relationship between haematological parameters and atrial fibrillation in the Pakistani population.

Multimorbidity, frailty and malnutrition: moving beyond traditional risk factors for risk assessment in atrial fibrillation. The Murcia Atrial Fibrillation Project II

Abstract Background The management of atrial fibrillation (AF) has evolved over the last decade with a more towards a more multidisciplinary, integrated and holistic approach. However, several conditions that may influence the prognosis and management of AF patients are still under-recognised. Purpose Our aim was to investigate if multimorbidity, frailty and malnutrition are associated with the risk of worse clinical outcomes in patients with recent diagnosis of AF starting oral anticoagulation (OAC) therapy. Methods Prospective cohort study including outpatients newly diagnosed with AF starting vitamin K antagonist (VKA) therapy from July 1, 2016 to June 30, 2018. Morbidity was assessed with the crude number of comorbidities. Frailty was assessed with the Clinical Frailty Scale (CFS). Nutrition status was assessed with the Controlling Nutritional Status (CONUT) score. During 2-years of follow-up, we recorded all ischemic strokes/transient ischemic attacks (TIAs), major bleeds (according to the 2005 International Society on Thrombosis and Haemostasis criteria), and all-cause deaths. Results We included 1050 patients (540 [51.4%] females, median age 77 [IQR 70–83] years), with median CHA2DS2-VASc of 4 [IQR 3–5] and median HAS-BLED of 2 [IQR 2–3]. The median crude number of comorbidities was 3 [IQR 2–5], whereas the median CFS and CONUT score were 2 [IQR 2–3] and 2 [IQR 1–3], respectively. The crude number of comorbidities, CFS and CONUT score demonstrated a significant positive correlation (p&amp;lt;0.001 for all correlations). After adjusting for several risk factors (age, sex, hypertension, diabetes, previous stroke, vascular disease, heart failure, chronic kidney disease, dyslipidemia, sleep apnoea, hepatic disease, and cancer), the CFS was independently associated with major bleeding (adjusted HR 1.25, 95% CI 1.07–1.45) and all-cause mortality (aHR 1.20, 95% CI 1.09–1.32). The crude number of comorbidities (aHR 1.30, 95% CI 1.14–1.49) was also associated with major bleeding, and the CONUT score (aHR 1.25, 95% CI 1.15–1.35) was associated with all-cause mortality. Any frailty degree (i.e CFS ≥5) was associated with a 3-fold higher risk of major bleeding (aHR 3.04, 95% CI 1.67–5.52) and a 2-fold higher risk of death (aHR 2.04, 95% CI 1.39–3.01), whereas the moderate/severe malnutrition (i.e. CONUT ≥5) was an independent risk factor for ischemic stroke/TIA and (aHR 2.25, 95% CI 1.11–4.56) and death (aHR 3.21, 95% CI 2.14–4.83) (Figures 1 and 2). Conclusions Frailty and malnutrition are important risk factors for bleeding, stroke and mortality in AF. The frailty degree and nutritional status should be assessed in all AF patients in order to address them properly and provide a truly integrated management. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): This work was supported by the Spanish Ministry of Economy, Industry, and Competitiveness, through the Instituto de Salud Carlos III after independent peer review (research grant: PI17/01375 co-financed by the European Regional Development Fund)

Changes in Prescribing Antithrombotic Therapy in Patients with Atrial Fibrillation in the Multidisciplinary Hospital in Volgograd from 2012 to 2020

Aim. To study the frequency of prescribing antithrombotic agents in patients with non-valvular atrial fibrillation (AF) in real clinical practice, to evaluate changes of prescriptions from 2012 till 2020.Material and methods. The medical records of inpatients (Form 003/y) with the diagnosis AF, hospitalized in the cardiological department were analyzed. According to the inclusion criteria, the patients were over 18 years of age, established diagnosis of non-valvular AF. There were two exclusion criteria: congenital and acquired valvular heart disease and prosthetic heart valves. In retrospective analysis we have included 263 case histories in 2012, 502 ones in 2016 and 524 in 2020. CHA2DS2-VASc score was used for individual stroke risk assessment in AF. The rational use of the antithrombotic therapy was evaluated according with current clinical practice guidelines at analyzing moment.Results. During period of observation the frequency of antiplatelet therapy significantly decreased from 25,5% to 5,5% (р&lt;0.001), decreased the frequency of administration of warfarin from 71,9% to 18,3% (р&lt;0.001). The frequency of use of direct oral anticoagulants increased in 2020 compared to 2016 (р&lt;0.001). For patients with a high risk of stroke anticoagulant therapy was administered in 71.8% of cases in 2012, 88.5% in 2016 and 92.5% in 2020. Before discharge from hospital majority of patients (72%) achieved a desired minimum international normalized ratio (INR) from 2.0 to 3.0 in 2012. In 2016 and 2020 an only 33% and 40.6% of patients achieved INR (2.0-3.0).Conclusion. Doctors have become more committed to following clinical guidelines during the period of the investigation. In 2020 antithrombotic therapy for atrial fibrillation was suitable according to current clinical guidelines.

Risk prediction of atrial fibrillation in the community combining biomarkers and genetics.

AimsClassical cardiovascular risk factors (CVRFs), biomarkers, and common genetic variation have been suggested for risk assessment of atrial fibrillation (AF). To evaluate their clinical potential, we analysed their individual and combined ability of AF prediction.Methods and resultsIn N = 6945 individuals of the FINRISK 1997 cohort, we assessed the predictive value of CVRF, N-terminal pro B-type natriuretic peptide (NT-proBNP), and 145 recently identified single-nucleotide polymorphisms (SNPs) combined in a developed polygenic risk score (PRS) for incident AF. Over a median follow-up of 17.8 years, n = 551 participants (7.9%) developed AF. In multivariable-adjusted Cox proportional hazard models, NT-proBNP [hazard ratio (HR) of log transformed values 4.77; 95% confidence interval (CI) 3.66–6.22; P < 0.001] and the PRS (HR 2.18; 95% CI 1.88–2.53; P < 0.001) were significantly related to incident AF. The discriminatory ability improved asymptotically with increasing numbers of SNPs. Compared with a clinical model, AF risk prediction was significantly improved by addition of NT-proBNP and the PRS. The C-statistic for the combination of CVRF, NT-proBNP, and the PRS reached 0.83 compared with 0.79 for CVRF only (P < 0.001). A replication in the Dutch Prevention of REnal and Vascular ENd-stage Disease (PREVEND) cohort revealed similar results. Comparing the highest vs. lowest quartile, NT-proBNP and the PRS both showed a more than three-fold increased AF risk. Age remained the strongest risk factor with a 16.7-fold increased risk of AF in the highest quartile.ConclusionThe PRS and the established biomarker NT-proBNP showed comparable predictive ability. Both provided incremental predictive value over standard clinical variables. Further improvements for the PRS are likely with the discovery of additional SNPs.

Stroke and Bleeding Risk Assessment in Atrial Fibrillation: Where Are We Now?

Most important international guidelines recommend the use of CHA₂DS₂-VASc and HAS-BLED scores for stroke and bleeding risk assessments in atrial fibrillation (AF) patients, respectively. The 2020 AF guidelines of European Society of Cardiology have revised the definition of "C: congestive heart failure (HF)" component, and now patients with either HF with reduced ejection fraction or preserved ejection fraction should be assigned 1 point. Hypertrophic cardiomyopathy was also included. Besides, the revised "V: vascular diseases" component included both prior myocardial infarction and "angiographically significant coronary artery disease". It is important to understand that the stroke and bleeding risks of AF patients were not static and should be re-assessed regularly. A high HAS-BLED score itself should not be the only reason to withhold or discontinue oral anticoagulants, but remind physicians for the corrections of modifiable bleeding risk factors and more regular follow up. In the future, the AF duration and left atrial function may play an important role for personalized evaluation of individual stroke risk while more studies are necessary.

Biomarkers for Risk Assessment in Atrial Fibrillation.

Atrial fibrillation (AF) is associated with an increased risk of thromboembolism, which can be significantly reduced with anticoagulant treatment. Key goals in the clinical management of AF are the identification of patients at high risk for developing AF and accurate stratification of the risk of stroke and systemic embolic events (S/SEE) as well as treatment-related major bleeding. In this review, we describe the expanding evidence regarding the use of circulating biomarkers for predicting the risks of both incident AF and its clinically important complications of S/SEE and treatment-related major bleeding. We also review emerging biomarker-based scores for assessing these risks. Patients with AF undergo progressive cardiac structural remodeling, which may precede the onset of the arrhythmia. Abnormal concentrations of circulating biomarkers reflecting the underlying pathophysiologic mechanisms of hemodynamic stress (i.e., natriuretic peptides), inflammation (i.e., C-reactive protein), and myocardial fibrosis identify patients at higher risk of developing AF. Circulating biomarkers can also be used to identify patients with AF who are at greatest risk for developing S/SEE or major bleeding. In particular, biomarkers of hemodynamic stress, myocardial injury (i.e., cardiac troponin), and coagulation activity (i.e., D-dimer) are key indicators of thromboembolic risk, and cardiac troponin and growth-differentiation factor-15 are strongly associated with risk of anticoagulant-related major bleeding. The biomarker-based age, biomarker, clinical history (ABC)-stroke and ABC-bleeding risk scores improve risk stratification for S/SEE and major bleeding, respectively, when compared with traditional clinical risk scores like the CHA2DS2-VASc and HAS-BLED scores.

Silent atrial fibrillation detected by home-monitoring: Cardiovascular disease and stroke prevention in patients with diabetes

ObjectivePatients with silent and undiagnosed paroxysmal atrial fibrillation and flutter (AF) have increased risk of ischemic stroke. Patients with diabetes have a higher risk of both AF and ischemic stroke compared to patients without diabetes. Our aim was to investigate the prevalence of silent AF in patients with diabetes in an outpatient cohort and to identify the possible risk factors associated with AF. Research design and methodsThis prospective observational study was performed in the outpatient diabetes clinic at a single University Hospital. We included 217 patients with type 1 or type 2 diabetes with at least one additional risk factor from the CHA2DS2VASc Score for Stroke Risk Assessment in Atrial Fibrillation. The primary outcome was prevalence of AF, with a duration of at least 30 s, recorded by a seven-day home-monitor, external loop recorder (ELR) in comparison to a standard resting ECG. Seventeen patients were excluded due to premature removal of the device. ResultsIn the final cohort of 200 patients the majority were male (58.5%) with a mean age of 66 ± 0.7 years. The mean BMI was 29 ± 6 and patients had a mean diabetes history of 23 ± 14 years with the majority diagnosed with type 2 diabetes (59%). Comorbidity was common with hypertension in 86%, and dyslipidemia in 80%. The total prevalence of silent AF [n = 20 (10%)] or flutter [n = 1 (0.5%)] was 10.5% using the ELR compared to a 0.0% detection-rate in the standard ECG method (p < 0.001). Higher age, male gender, albuminuria, and elevated systolic blood pressure were associated with AF in univariate analyses, but only age [OR 1.14 (95% CI = 1.00–2.04) (p = 0.048)], male gender [OR 4.9 (95% CI = 1.30–18.65) (p = 0.019)] and albuminuria [OR 2.7 (95% CI =1.08–6.98) (p = 0.034) were independently associated with AF. Mean CHA2DS2VASc Score was ≥2 (4.1, SD ± 1.6), and patients with AF were referred to further cardiac evaluation. ConclusionUndiagnosed, silent AF is common in high-risk cohort with a long history of diabetes followed in a University Hospital outpatient clinic. Non-invasive monitoring with ELR enhances detection of AF and identifies candidates for early anticoagulation treatment with the possible effect of stroke prevention.

Female Sex as a Risk Modifier for Stroke Risk in Atrial Fibrillation: Using CHA2DS2-VASc versus CHA2DS2-VA for Stroke Risk Stratification in Atrial Fibrillation: A Note of Caution.

Stroke prevention is a key clinical concern in the management of patients with atrial fibrillation. Oral anticoagulation treatment reduces the risk of disabling stroke, but the treatment increases the risk of bleeding. For decades, the decision to initiate oral anticoagulation has been guided by clinical risk scoring systems such as the CHADS2 and CHA2DS2-VASc scores. In this narrative review, we focus on the recent discussion of the "Sc" (Sex Category) criterion in the CHA2DS2-VASc score. Epidemiological considerations when assessing stroke rates in cohorts are discussed, and the implications of different methodological approaches are outlined. Next, we review studies investigating the association of the "Sc" criterion on the stroke rates under various approaches. Lastly, we discuss potential consequences of implementing the recently suggested sex-less CHA2DS2-VA score, which leaves out female sex from stroke risk assessment in atrial fibrillation.

Considerations when choosing an appropriate bleeding risk assessment tool for patients with atrial fibrillation

Considerations when choosing an appropriate bleeding risk assessment tool for patients with atrial fibrillation

P4796Risk prediction of atrial fibrillation in the community combining biomarkers and genetics

Abstract Background Classical cardiovascular risk factors (CVRF), biomarkers and genetic variation have been suggested for risk assessment of atrial fibrillation (AF). Purpose To evaluate their clinical potential, we analysed their individual and combined effectiveness in AF prediction. Methods In N=6945 individuals of the FINRISK 1997 cohort, we assessed the predictive value of CVRF, N-terminal pro B-type natriuretic peptide (NT-proBNP) and 145 recently identified single nucleotide polymorphisms (SNPs) for incident AF. Results Over a median follow-up of 17.8 years, N=551 participants (7.9%) developed AF. In multivariable-adjusted Cox proportional hazard models, NT-proBNP (hazard ratio (HR) per standard deviation (SD) 1.90, 95% confidence interval (CI): 1.71–2.11, P&lt;0.001) and the polygenic risk score (PRS) (HR per SD 1.66, 95% CI: 1.51–1.84, P&lt;0.001) were significantly related to incident AF. The discriminatory ability improved asymptotically with increasing numbers of SNPs. Compared to a clinical model, AF risk prediction was significantly improved by addition of NT-proBNP and the PRS. The C-statistic for the combination of all CVRF, NT-proBNP and the PRS reached 0.82 compared to 0.77 for CVRF only (P&lt;0.001). Comparing the highest versus lowest quartile, age remained the strongest risk factor with a 15-fold increased risk of AF. The highest quartiles of NT-proBNP and the PRS both showed an approximately 3-fold increased AF risk compared to the lowest quartiles. C-Index for AF prediction Conclusions The PRS and the established biomarker NT-proBNP predicted incident AF comparably. Both provided incremental predictive value over standard clinical variables. Further improvements for the PRS are likely with the discovery of additional SNPs. Acknowledgement/Funding European Research Council, German Ministry of Research and Education, DZHK, European Union Seventh Framework Programme, CHANCES, THL

P5979Impact of disease stage on performance of strain markers for prediction of atrial fibrillation

Abstract Background Efforts to predict incident atrial fibrillation (AF) may be associated with complications, and there is interest in AF prediction in primary prevention (PP; pts with risk factors) and secondary prevention (SP; pts with possible AF complications). These pts have different risk levels, we sought whether that influenced the predictive value of LV dysfunction (measured as global longitudinal strain, GLS) or LA dysfunction (LA reservoir strain). Methods The PP cohort comprised 351 community-based pts ≥65 years with ≥1 risk factor for AF (age 70±4y,43% male, median follow-up 22 months) and the SP cohort comprised 532 pts after transient ischaemic attack or stroke (age 68±12y, 51% male, median follow-up 36 months). GLS and LA strain were measured offline (Image Arena-Tomtec, Germany). AF was diagnosed by 12 lead ECG, Holter or by single lead monitor. The clinical and echocardiographic characteristics of those with AF were compared to those in sinus rhythm. Nested Cox-regression models were used to assess for independent and incremental predictive value of LA strain/GLS in both cohorts. Results Compared to SP, PP had higher clinical AF risk (CHARGE-AF 5.6±5.5% vs 4.7±12.1%, p=0.02) but a lower thromboembolic risk (CHA2DS2-VASC 3±2 vs. 4±2, p&lt;0.001). AF developed in 42 PP pts (12%) and 61 SP (12%). AF patients were older, with higher CHARGE-AF score, LA volume and LV mass. Pts developing AF had reduced GLS (17±4% vs. 20±3%, p&lt;0.001), reservoir (28±11% vs. 35±8%, p&lt;0.001) and pump strain (13±7% vs. 17±5%, p&lt;0.001). GLS and LA strain had greater AUC in SP (0.84 vs 0.58 for GLS and 0.85 vs 0.57 for reservoir strain, both p&lt;0.001). Nested cox-regression models showed that LA reservoir strain was independently associated with AF in both cohorts (p&lt;0.05). GLS was only independently associated with incident AF in SP (Figure). Conclusion LA reservoir strain is independently associated with AF in different risk cohorts and its effect is incremental to clinical parameters and LA volume. GLS may be more useful in AF risk assessment in those in SP. Acknowledgement/Funding This study was partially supported by the Tasmanian Community Fund and Siemens Healthcare Australia.

The Impact of Left Atrium Appendage Morphology on Stroke Risk Assessment in Atrial Fibrillation: A Computational Fluid Dynamics Study.

Atrial fibrillation (AF) carries out a 5-fold increase in stroke risk, related to embolization of thrombi clotting in left atrium (LA). Left atrial appendage (LAA) is the site with the highest blood stasis which causes thrombus formation. About 90 % of the intracardiac thrombi in patients with cardioembolic events originally develop in the LAA. Recent studies have been focused on the association between LAA anatomical features and stroke risk and provided conflicting results. Haemodynamic and fluid dynamic information on the LA and mostly on the LAA may improve stroke risk stratification. Therefore, the aim of this study was the design and development of a workflow to quantitatively define the influence of the LAA morphology on LA hemodynamics. Five 3D LA anatomical models, obtained from real clinical data, which were clearly different as regard to LAA morphology were used. For each LAA we identified and computed several parameters describing its geometry. Then, one LA chamber model was chosen and a framework was developed to connect the different LAAs belonging to the other four patients to this model. These new anatomical models represented the computational domain for the computational fluid dynamics (CFD) study; simulations of the hemodynamics within the LA and LAA were performed in order to evaluate the interplay of the LAA shape on the blood flow characteristics in AF condition. CFD simulations were carried out for five cardiac cycles. Blood velocity, vorticity, LAA orifice velocity, residence time computed in the five models were compared and correlated with LAA morphologies. Results showed that not only complex morphologies were characterized by low velocities, low vorticity and consequently could carry a higher thrombogenic risk; even qualitatively simple morphologies showed a thrombogenic risk equal, or even higher, than more complex auricles. CFD results supported the hypothesis that LAA geometric characteristics plays a key-role in defining thromboembolic risk. LAA geometric parameters could be considered, coupled with the morphological characteristics, for a comprehensive evaluation of the regional blood stasis. The proposed procedure might address the development of a tool for patient-specific stroke risk assessment and preventive treatment in AF patients, relying on morpho-functional defintion of each LAA type.

Multimodality imaging for thromboembolic risk assessment in atrial fibrillation.

: Atrial fibrillation is the most widely represented sustained arrhythmia in the world. Thromboembolic risk assessment represents the main clinical challenge associated with this condition, requiring enormous medical, social and economical efforts. Several pieces of evidence in literature highlight how clinical risk factors are not enough for a correct thromboembolic risk stratification of patients with atrial fibrillation, since thromboembolic events have been proven to occur even in patients with low clinical risk scores. A comprehensive multimodality imaging approach, with special regard to echocardiography and new technologies seems to be the best method for this purpose. The aim of this review is to propose a hybrid thromboembolic risk stratification system that combinines clinical evaluation with instrumental clues on left atrial remodeling, fibrosis and deformation which, could be useful especially for patients classified at low thromboembolic risk according to clinical scores.

3282Evaluation of blood flow patterns for personalized stroke risk assessment in atrial fibrillation

3282Evaluation of blood flow patterns for personalized stroke risk assessment in atrial fibrillation

Assessment of Thrombotic Risk in Atrial Fibrillation with Ultrasound Molecular Imaging of P-Selectin.

Molecular imaging of inflammatory mediators in atria may contribute to thrombotic risk assessment of atrial fibrillation (AF). We investigated the feasibility of ultrasound molecular imaging (UMI) targeted to P-selectin to assess thrombotic risk in AF. Rat AF models were established with rapid atrial pacing. Microbubbles targeted to P-selectin were injected into the rats, followed by left atrial (LA) UMI examination. Furthermore, P-selectin, platelets (PLTs), fibrin and tissue factor (TF) of LA were detected by histopathology and scanning electron microscopy. Plasma levels of P-selectin, thrombin-antithrombin complex (TAT) and prothrombin fragment 1 + 2 (F1 + 2) were measured by enzyme-linked immunosorbent assay. The data showed that P-selectin in LA was correlated with PLT, fibrin and TF (r = 0.735, p < 0.05; r = 0.827, p < 0.05; r = 0.785, p < 0.05, respectively). The plasma level of P-selectin was correlated with the expression of TAT and F1 + 2 (r = 0.866, p < 0.05; r = 0.916, p < 0.05, respectively). The contrast video intensity of adhered microbubbles targeted to P-selectin was correlated with the levels of P-selectin, PLT and fibrin in LA (r = 0.768, p < 0.05; r = 0.798, p < 0.05; r = 0.745, p < 0.05, respectively). In conclusion, P-selectin may serve as a biomarker for thrombotic risk in AF and can be quantified by UMI to assess thrombotic risk.

Atrial fibrillation: Utility of CHADS2 and CHA2DS2-VASc scores as predictors of readmission, mortality and resource utilization

BackgroundCHADS2 and CHA2DS2-VASc scores are widely used for thromboembolic risk assessment in Atrial Fibrillation(AF) cohort, however further utilization to predict outcomes is understudied. MethodHCUP's National Readmission Data(NRD) 2013 was queried for AF admissions using ICD-9-CM code 427.31 in principal diagnosis field. Patients with mitral valve disease or repair/or replacement were excluded to estimate population with non-valvular AF only. CHADS2 and CHA2DS2-VASc were calculated for each patient. Hierarchical two-level logistic and linear models were used to evaluate study outcomes in terms of mortality, 30 or 90-day readmissions, length of stay(LOS) and cost. ResultOf 116,450 principal non-valvular AF admissions(50.2% female and 43.1% age≥75years) 29,179 patients were readmitted, with total 40,959 readmissions. Higher CHADS2 and CHA2DS2-VASc score were associated with increased mortality from 0.4% for CHADS2 of 0 to 3.2% for score of 6 and from 0.2% for CHA2DS2-VASc of 0 to 3.2% for score≥8. LOS increased from 2.20days for CHADS2 of 0 to 5.08days for score of 6, while cost increased from $7888 to $11,151. 30-day readmission rate increased from 8.9% for CHADS2 of 0 to 26.0% for score of 6, and 90-day readmission rate increased from 15.2% to 39%. CHA2DS2-VASc scoring similarly demonstrated a trend towards increasing readmission rate, LOS and cost for higher scores. Also, similar results were seen in hierarchical modeling with increment of CHADS2 and CHA2DS2-VASc scores. ConclusionCHADS2 and CHA2DS2-VASc scores can be used as quick surrogate markers for predicting outcomes beyond thromboembolic risk. Physician familiarity with these systems makes them easy to use bedside clinical tools to improve outcomes and resource allocation.

5768Female sex is a risk modifier - not a risk factor - for stroke risk assessment in atrial fibrillation: Using a CHA2DS2-VA score rather than CHA2DS2-VASc

5768Female sex is a risk modifier - not a risk factor - for stroke risk assessment in atrial fibrillation: Using a CHA2DS2-VA score rather than CHA2DS2-VASc