Efficacy of R2CHA2DS2-VA score for predicting thromboembolism in Thai patients with non-valvular atrial fibrillation
BMC Cardiovascular Disorders volume 21, Article number: 540 (2021)
There is no data specific to the addition of renal dysfunction and age 50–64 years as risk parameters to the CHA2DS2-VA score, which is known as the R2CHA2DS2-VA score, among NVAF patients. Accordingly, the aim of this study was to validate the R2CHA2DS2-VA score for predicting thromboembolism in Thai NVAF patients.
Thai NVAF patients were prospectively enrolled in a nationwide multicenter registry from 27 hospitals during 2014–2020. Each component of the CHA2DS2-VA and R2CHA2DS2-VA scores was scored and recorded. The main outcomes were thromboembolism, including ischemic stroke, transient ischemic attack (TIA), and/or systemic embolism. The annual incidence rate of thromboembolism among patients in each R2CHA2DS2-VA and CHA2DS2-VA risk score category is shown as hazard ratio (HR) and 95% confidence interval (95% CI). The performance of the R2CHA2DS2-VA and CHA2DS2-VA scores was demonstrated using c-statistics. Net reclassification index was calculated. Calibration plat was used to assess agreement between observed probabilities and predicted probabilities of both scoring system.
A total of 3402 patients were enrolled during 2014–2020. The average age of patients was 67.38 ± 11.27 years. Of those, 46.9% had renal disease, 30.7% had a history of heart failure, and 17.1% had previous stroke or TIA. The average R2CHA2DS2-VA and CHA2DS2-VA scores were 3.92 ± 1.92 and 2.98 ± 1.43, respectively. Annual thromboembolic risk increased with incremental increase in R2CHA2DS2-VA and CHA2DS2-VA scores. Oral anticoagulants had benefit in stroke prevention in NVAF patients with an R2CHA2DS2-VA score of 2 or more (adjusted HR: 0.630, 95% CI 0.413–0.962, p = 0.032). The c-statistics were 0.630 (95% CI 0.61–0.65) and 0.627 (95% CI 0.61–0.64), for R2CHA2DS2-VA and CHA2DS2-VA scores respectively. NRI was 2.2%. The slope and R2 of the calibration plot were 0.73 and 0.905 for R2CHA2DS2-VA and 0.70 and 0.846 for CHA2DS2-VA score respectively.
R2CHA2DS2-VA score was found to be at least as good as CHA2DS2-VA score for predicting thromboembolism in Thai patients with NVAF. Similar to CHA2DS2-VA score, thromboembolism increased with incremental increase in R2CHA2DS2-VA score.
Ischemic stroke is a devastating complication in people with non-valvular atrial fibrillation (NVAF), and oral anticoagulants (OACs) have been proven effective for preventing stroke in these patients . Recent clinical practice guidelines recommend that OAC should be prescribed in patients with a CHA2DS2-VA score of 1 or more (1 or more in male patients, and 2 or more in female patients) [2,3,4]. However, there are other stroke risks that are not included in this scoring system, such as renal disease. Renal dysfunction can contribute to change hemostatic systems such as increased pro-thrombotic blood components . Although several trials reported renal dysfunction to be a predictor of thromboembolism in NVAF patients [6, 7], the Loire Valley Atrial Fibrillation Project revealed that renal impairment did not significantly improve the predictive value of the CHADS2 and CHA2DS2-VASc scores . Moreover, data from a Chinese database was used to investigate the cutoff age for thromboembolic prediction. Previous studies found that age within the range of 50–64 years could enhance stroke risk stratification when added as a risk parameter to the CHA2DS2-VASc score [9,10,11]. Those data also revealed that the age threshold for increased stroke risk may be lower in Asians than in Caucasians [9,10,11]. However, there is no data specific to whether renal dysfunction and age within the range of 50–64 years added to CHA2DS2-VA score, which is known as R2CHA2DS2-VA score, can predict thromboembolism in NVAF patients. Previous population-based cohort study has shown that comparable stroke risk between women and men by using a nested case–control approach for analysis where women and men were matched on age and other confounding factors in time-dependent manner . There has been a propose that female is a risk modifier rather than a risk factor for stroke in NVAF and CHA2DS2-VA should be used instead of CHA2DS2-VASc score . The same group also reported a note of caution for the use of CHA2DS2-VA . Accordingly, the aim of this study was (1) to compare the R2CHA2DS2-VA to CHA2DS2-VA score for predicting thromboembolism in Thai NVAF patients, and (2) to determine a sensitivity analysis of comparison with the conventional CHA2DS2-VASc score.
Thai NVAF patients were prospectively enrolled in a nationwide multicenter registry from 27 hospitals in Thailand during 2014–2020. The COhort of antithrombotic use and Optimal INR Level in patients with non-valvular atrial fibrillation in Thailand (COOL-AF Thailand) registry is the largest NVAF registry in Thailand. The study protocol was approved by the institutional review boards (IRBs) of the Thailand Ministry of Public Health and of each participating hospital. Written informed consent was obtained by all participating patients, and all methods was conducted in accordance with the principles set forth in the Declaration of Helsinki and the International Conference on Harmonization for Good Clinical Practice Guidelines.
NVAF patients aged 18 years or more were recruited. Patients with prosthetic heart valve, rheumatic mitral valve disease, recent ischemic stroke within 3 months, NVAF from transient reversible cause, life expectancy less than 3 years, pregnancy, thrombocytopenia (< 100,000/mm3), myeloproliferative diseases, refusal to be enrolled, and/or could not come for follow-up were excluded.
Baseline demographic and clinical data of NVAF patients taking or not taking OACs were collected and recorded. Patient data were recorded on a case record form and in a centralized web-based system. The choice of OAC was determined at the discretion of each attending physician. The following data were collected: age, sex, baseline medical history, component parameters of R2CHA2DS2-VA and CHA2DS2-VA score, and type of antithrombotic medication. Patient data were recorded at follow-up visits scheduled for every 6 months. Any event outcomes that occurred during the preceding 6-month period, including death, non-fatal ischemic stroke or transient ischemic attack (TIA), or systemic embolism, were collected and recorded.
Each component of the CHA2DS2-VASc score was scored and recorded as C = congestive heart failure (1 point); H = hypertension (1 point); A = age ≥ 75 years (2 points); D = diabetes mellitus (1 point); S = stroke or TIA (2 points); V = vascular disease (1 point); A = age 65–74 years (1 point); and Sc = female sex (1 point). The R2CHA2DS2-VA score was defined as the CHA2DS2-VASc score including both R = renal dysfunction or estimated glomerular filtration rate (eGFR) ≤ 60 ml/min/1.73 m2 according to Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula  or renal replacement therapy (2 points) and A = age 50–74 years (1 point), but excluding female sex .
The main outcomes were thromboembolism, including ischemic stroke, TIA, and/or systemic embolism. Ischemic stroke was defined as a sudden onset of neurological deficit that lasted at least 24 h, but with no evidence of intracranial bleeding by computed tomography (CT) or magnetic resonance imaging (MRI) of brain . TIA was defined as a sudden onset of neurological deficit that lasted less than 24 h . Systemic embolism was defined as disruption of blood flow to other arteries, such as acute limb arterial occlusion or acute mesenteric arterial occlusion .
The categorical data are described as number and percentage, and the continuous data are given as mean ± standard deviation (SD). The annual incidence rate of thromboembolism among patients in each R2CHA2DS2-VA and CHA2DS2-VA score category is demonstrated as rate per 100 person-years. Cox proportional hazards model was used to compare the rate of thromboembolism among patients in each risk score category with those with a risk score of 0. The results of that analysis are shown as hazard ratio (HR) and 95% confidence interval (CI). Receiver-operating characteristic (ROC) curve analysis was used to analyze the discrimination performance of R2CHA2DS2-VA and CHA2DS2-VA scores, and the results are shown as c-statistics . Net Reclassification Index (NRI) and Integrated Discrimination Improvement (IDI) was performed based on the methods proposed in the previous publication  to determine the influence of R2CHA2DS2-VA on the reclassification of the study population. Calibration plot  was performed to determine the relation of predicted and observed probability between each scoring system and the observed events. We also performed sensitivity analysis by comparing R2CHA2DS2-VA with original CHA2DS2-VASc score. A p-value < 0.05 was considered statistically significant. All analyses were performed using SPSS statistical software version 18.0 (SPSS, Inc., Chicago, IL, USA) and R version 3.6.3 (www.r-project.org). NRI was performed by grouping study population by old and new model into 4 groups based on predicted probability of thromboembolism using contingency table. Kaplan–Meier (KM) estimate was then calculated from SPSS program. Calculation of number of case and control in each cell of the contingency table with KM estimate times person included. Calculation of Reclassification improvement in cases and Reclassification worsen in controls was performed and NRI was calculated. Calibration plot and IDI was performed by program R.
A total of 3402 patients were enrolled in the COOL-AF Thailand registry during 2014–2020. The average age of patients was 67.38 ± 11.27 years, and 58.2% were male. Among all included patients, 46.9% had renal disease, 30.7% had a history of heart failure, and 17.1% had previous stroke or TIA. The average R2CHA2DS2-VA and CHA2DS2-VA scores were 3.92 ± 1.92 and 2.98 ± 1.43, respectively. Among all patients, 26.2% were prescribed antiplatelet, and 75.4% were prescribed OACs. The baseline characteristics of patients are shown in Table 1. The distribution of patients according to R2CHA2DS2-VA score is shown in Fig. 1.
Annual thromboembolic risk increased with incremental increase in R2CHA2DS2-VA and CHA2DS2-VA scores (Table 2 and Fig. 2). OACs is shown to have beneficial effect in the protection of ischemic stroke/TIA for those with NVAF patients with R2CHA2DS2-VA ≥ 2 (adjusted HR: 0.630, 95% CI 0.413–0.962) and a trend toward a protective effect for those with the score of 1 or more (adjusted HR: 0.726, 95% CI 0.483–1.090, p = 0.122) (Table 3).
The discrimination performance of R2CHA2DS2-VA and CHA2DS2-VA risk scores are shown as c-statistic values of 0.630 (95% CI 0.61–0.65) and 0.627 (95% CI 0.61–0.64), respectively (Fig. 3).
Net reclassification index (NRI)
Calculation of predicted probability for 3-year risk of ischemic stroke/TIA was performed using Cox proportional Hazard model of all factors of each scoring system. Afterward, we classified patients into 4 risk groups as follows: 0–2%, 2–4%, 4–6%, and ≥ 6% risk of ischemic stroke/TIA based on the predicted probability. From Kaplan–Meier (KM) estimate, we calculated the number of cases that move to higher or lower risk groups with the use of R2CHA2DS2-VA as compared to the risk groups classified by CHA2DS2-VA score. We found that 4.7% of cases was moved to a higher risk group and 4.8% of controls was moved to a lower risk group. The NRI and IDI were 2.2% and 0.02% indicating that CHA2DS2-VA score performed slightly better than CHA2DS2-VA score in predicting ischemic stroke/TIA. For patients who were on OAC which was the majority of patients, the NRI was 4.32% for R2CHA2DS2-VA as compared to CHA2DS2-VA score.
Predictive model for ischemic stroke/TIA at 3 years was derived using the formula PIS/TIA at 3 years = 1 − S0(t)exp (Prognostic Index) where P = predicted probability, IS = ischemic stroke, TIA = transient ischemic attack, S0(t) = average survival probability at time, prognostic index is calculated from Cox proportional Hazard model using all factors of each scoring system). Calibration plot was performed for 10 equal groups of predicted probability with predicted probability of event based on R2CHA2DS2-VA and CHA2DS2-VA score on X-axis and observed event on Y-axis (Fig. 4A, B). Calibration plot of R2CHA2DS2-VA showed a slightly higher slope compared to CHA2DS2-VA score and the R2 which is an index of goodness-of-fit measure of the linear model was higher for R2CHA2DS2-VA compared to CHA2DS2-VA score. Calibration slope of R2CHA2DS2-VA, CHA2DS2-VA, and original CHA2DS2-VASc indicate a good agreement between predicted probability and observed outcomes among group of patients.
We performed sensitivity analysis by comparing R2CHA2DS2-VA to the original CHA2DS2-VASc score. The calibration slope was similar for the 2 scoring systems. The R2 was slightly higher for R2CHA2DS2-VA compared to CHA2DS2-VASc score (Fig. 4C). NRI and IDI for R2CHA2DS2-VA compared to CHA2DS2-VASc score was 0.42% and 0.14% respectively. A total of 5.4% of cases moved to higher risk group and 9.1% of controls moved to a lower risk group.
Based on current knowledge, CHA2DS2-VASc score is recommended for stroke risk assessment according to standard clinical practice guidelines, and female sex is a risk modifier rather than a risk factor for ischemic stroke. However, some stroke risks, such as renal dysfunction and age 50–64 years, are not included in this scoring system. Renal dysfunction promotes thrombosis by an increase in platelet activity, activation of the renin–angiotensin–aldosterone system (RAAS) and alteration in blood vessel wall contractility due to inflammation resulting in prothrombotic state . Previous Korean study reported the inclusion of chronic kidney disease (CKD) into the CHA2DS2-VASc score and deletion of sex, which resulted in the CHA2DS2VAK score . This novel scoring system demonstrated improved ability to discriminate intermediate-risk patients. Additionally, a previous study from Hong Kong reported that NVAF patients aged 50 to 64 years had increased stroke risk despite having a low CHA2DS2-VASc score . That study concluded that patients aged less than 50 years had a significantly lower risk of stroke.
Our study showed that the R2CHA2DS2-VA score can predict thromboembolic events in NVAF patients. An increased R2CHA2DS2-VA score led to more annual thromboembolic risk. Compared with non-anticoagulated patients, anticoagulated patients had a lower risk of thromboembolism with borderline statistical significance (adjusted HR: 0.726, 95% CI: 0.483–1.090, p = 0.122). This finding suggests that OACs may reduce thromboembolism in NVAF patients with a higher R2CHA2DS2-VA score. This scoring system included renal dysfunction and age 50–64 years into the CHA2DS2-VASc score, but female sex was removed. As a result, the R2CHA2DS2-VA score has more risk factor parameters than the CHA2DS2-VASc score. We demonstrated that R2CHA2DS2-VA and CHA2DS2-VA score had a similar c-statistic values, 0.630 (95% CI 0.61–0.65) and 0.627 (95% CI 0.61–0.64), for ischemic stroke/TIA. In the NRI analysis, we showed that R2CHA2DS2-VA had a slightly higher NRI compared to CHA2DS2-VA system. The R2 of calibration plot graph of predicted risk and observed risk of R2CHA2DS2-VA also slightly higher than CHA2DS2-VA score. We also had the results of the comparison of R2CHA2DS2-VA and the original CHA2DS2-VASc score which showed that R2CHA2DS2-VA was at least as good as the original CHA2DS2-VASc score. These results suggested that by adding renal function data and the inclusive of a lower age group might have an additional value or at least as good as CHA2DS2-VA and the original CHA2DS2-VASc score.
There are some possible explanations why the R2CHA2DS2-VA score did not demonstrate better discriminative performance than the CHA2DS2-VASc score despite having more risk factor parameters. First, the addition of renal dysfunction and age 50–64 years led to higher R2CHA2DS2-VA scores, while lower CHA2DS2-VA scores led to a comparable rate of thromboembolic events. It is also possible that giving two points for renal dysfunction may overestimate thromboembolic events in this setting because CKD had an HR of 1.62 for predicting thromboembolic events in Korean population . Second, most NVAF patients (75.5%) in this study had been taking OACs while most patients in previous CHA2DS2VAK, modified CHA2DS2VASc and CHA2DS2VASc trials had no OACs [6, 8]. As shown in the results, the NRI of R2CHA2DS2-VA compared to CHA2DS2-VA score, was greater in patients who are on OAC. Therefore, the number of thromboembolic events was lower in our study when compared with previous non-anticoagulant NVAF trials, which explains the comparable discriminative performance between the two scoring systems.
Strengths and limitations
This study also has some limitations. First, this study included both anticoagulated and non-anticoagulated NVAF patients, which resulted in a lower thromboembolic event rate than the rates reported in the previous non-anticoagulated risk score trials mentioned above. Nevertheless, the R2CHA2DS2-VA score had acceptable discriminative performance, with a c-statistic value of 0.630 compared with 0.606 in a previous trial . Second, our study recruited only Thai NVAF patients, so our results may not be generalizable to other races. Despite these limitations, this study had some strengths. First, this study introduces the R2CHA2DS2-VA score which can predict thromboembolism in NVAF patients. This novel risk score included other stroke risks such as renal dysfunction and lower cutoff age for thromboembolic prediction in addition to CHA2DS2VASc score leading to consider anticoagulation in broader AF population especially patients with renal dysfunction or age of 50–64 years with CHA2DS2VASc of 0. Second, this is a multicenter nationwide study in Thailand. Lastly, the events in this study were adjudicated.
R2CHA2DS2-VA score was found to be comparable to CHA2DS2-VA score for predicting thromboembolism in Thai patients with NVAF. Similar to CHA2DS2-VA score, thromboembolism increased with incremental increase in R2CHA2DS2-VA score.
Availability of data and materials
The dataset that was used to support the results and conclusion of this study are included within the manuscript. Additional data are available upon contacting Rungroj Krittayaphong at email@example.com with the reasonable request.
Chronic Kidney Disease Epidemiology Collaboration
- COOL-AF Thailand:
COhort of antithrombotic use and Optimal INR Level in patients with non-valvular atrial fibrillation in Thailand
Estimated glomerular filtration rate
Institutional review board
Magnetic resonance imaging
Non-valvular atrial fibrillation
- ROC curve:
Receiver operating characteristic curve
Transient ischemic attack
Risk factors for stroke and efficacy of antithrombotic therapy in atrial fibrillation. Analysis of pooled data from five randomized controlled trials. Arch Intern Med 1994, 154:1449–1457.
Kirchhof P, Benussi S, Kotecha D, Ahlsson A, Atar D, Casadei B, et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J. 2016;37:2893–962.
Lip GYH, Banerjee A, Boriani G, Chiang CE, Fargo R, Freedman B, et al. Antithrombotic Therapy for Atrial Fibrillation: CHEST Guideline and Expert Panel Report. Chest. 2018;154:1121–201.
January CT, Wann LS, Calkins H, Chen LY, Cigarroa JE, Cleveland JC Jr, et al. 2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. 2019;74:104–32.
Kumar S, Lim E, Covic A, Verhamme P, Gale CP, Camm AJ, et al. Anticoagulation in Concomitant Chronic Kidney Disease and Atrial Fibrillation: JACC Review Topic of the Week. J Am Coll Cardiol. 2019;74:2204–15.
Piccini JP, Stevens SR, Chang Y, Singer DE, Lokhnygina Y, Go AS, et al. Renal dysfunction as a predictor of stroke and systemic embolism in patients with nonvalvular atrial fibrillation: validation of the R(2)CHADS(2) index in the ROCKET AF (Rivaroxaban Once-daily, oral, direct factor Xa inhibition Compared with vitamin K antagonism for prevention of stroke and Embolism Trial in Atrial Fibrillation) and ATRIA (AnTicoagulation and Risk factors In Atrial fibrillation) study cohorts. Circulation. 2013;127:224–32.
Cha MJ, Cho Y, Oh IY, Choi EK, Oh S. Validation of conventional thromboembolic risk factors in a Korean atrial fibrillation population- Suggestion for a Novel Scoring System, CHA2DS2-VAK. Circ J. 2018;82:2970–5.
Banerjee A, Fauchier L, Vourc’h P, Andres CR, Taillandier S, Halimi JM, et al. Renal impairment and ischemic stroke risk assessment in patients with atrial fibrillation: the Loire Valley Atrial Fibrillation Project. J Am Coll Cardiol. 2013;61:2079–87.
Chao TF, Wang KL, Liu CJ, Lin YJ, Chang SL, Lo LW, et al. Age threshold for increased stroke risk among patients with atrial fibrillation: a nationwide cohort study from Taiwan. J Am Coll Cardiol. 2015;66:1339–47.
Chan PH, Lau CP, Tse HF, Chiang CE, Siu CW. CHA2DS2-VASc Recalibration With an Additional Age Category (50–64 Years) Enhances Stroke Risk Stratification in Chinese Patients With Atrial Fibrillation. Can J Cardiol. 2016;32:1381–7.
Chao TF, Lip GY, Liu CJ, Tuan TC, Chen SJ, Wang KL, et al. Validation of a Modified CHA2DS2-VASc Score for Stroke Risk Stratification in Asian Patients With Atrial Fibrillation: A Nationwide Cohort Study. Stroke. 2016;47:2462–9.
Renoux C, Coulombe J, Suissa S. Revisiting sex differences in outcomes in non-valvular atrial fibrillation: a population-based cohort study. Eur Heart J. 2017;38:1473–9.
Nielsen PB, Skjoth F, Overvad TF, Larsen TB, Lip GYH. Female sex is a risk modifier rather than a risk factor for stroke in atrial fibrillation: should we use a CHA2DS2-VA Score Rather Than CHA2DS2-VASc? Circulation. 2018;137:832–40.
Nielsen PB, Overvad TF. 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. Thromb Haemost. 2020;120:894–8.
Fu S, Zhou S, Luo L, Ye P. R2(GFR)CHADS2 and R2(GFR)CHA2DS2VASc schemes improved the performance of CHADS2 and CHA2DS2VASc scores in death risk stratification of Chinese older patients with atrial fibrillation. Clin Interv Aging. 2017;12:1233–8.
Kernan WN, Ovbiagele B, Black HR, Bravata DM, Chimowitz MI, Ezekowitz MD, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45:2160–236.
Lopes RD, Alexander JH, Al-Khatib SM, Ansell J, Diaz R, Easton JD, et al. Apixaban for reduction in stroke and other ThromboemboLic events in atrial fibrillation (ARISTOTLE) trial: design and rationale. Am Heart J. 2010;159:331–9.
Pencina MJ, D'Agostino RB, Sr., D'Agostino RB, Jr., Vasan RS: Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008, 27:157–172; discussion 207–112.
Spiegelhalter DJ. Probabilistic prediction in patient management and clinical trials. Stat Med. 1986;5:421–33.
Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. Chest. 2010;137:263–72.
The authors thanks Pontawee Kaewkumdee, and Ahthit Yindeengam for the data management.
This study was funded by grants from the Health Systems Research Institute (HSRI) (Grant No. 59-053), and from the Heart Association of Thailand under the Royal Patronage of H.M. the King.
Ethics approval and consent to participate
The study protocol was approved by Central Research Ethics Committee (CREC), the institutional review boards (IRBs) of the Thailand Ministry of Public Health and of each participating hospital as follows: the Institutional Review Board (IRB) of Faculty of Medicine, Siriraj Hospital, Mahidol University, Faculty of Medicine, Chulalongkorn University, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Faculty of Medicine, Chiang Mai University, Police General Hospital, Phramongkutklao College of Medicine, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Central Chest Institute of Thailand, Faculty of Medicine, Prince of Songkla University, Faculty of Medicine, Thammasat University, Rangsit Campus, Faculty of Medicine, Naresuan University, Faculty of Medicine,Khon Kaen University, Golden Jubilee Medical Center, Charoen Krung Pracha Rak Hospital, Lampang Hospital, Nakornping Hospital, Prapokklao Hospital(Chanthaburi), Maharat Nakorn Ratchasima Hospital, Suratthani Hospital, Chonburi Hospital, Buddhachinaraj Hospital, Sapphasitthiprasong Hospital, Ratchaburi Hospital, Chiangrai Prachanukroh Hospital, Udonthani Hospital, Queen Savang Vadhana Memorial Hospital, Surin Hospital. Written informed consent was obtained from all included patients prior to participation, and the study was conducted in accordance with the principles set forth in the Declaration of Helsinki and the International Conference on Harmonization for Good Clinical Practice Guidelines.
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Methavigul, K., Sairat, P., Krittayaphong, R. et al. Efficacy of R2CHA2DS2-VA score for predicting thromboembolism in Thai patients with non-valvular atrial fibrillation. BMC Cardiovasc Disord 21, 540 (2021). https://doi.org/10.1186/s12872-021-02370-2