Evaluating the utility of the HAS‐BLED bleeding‐estimator tool for transurethral resection of prostate by Lu Yu Kuo, Zhong Li Titus Lim, Caitlin Letch, Joshua Silverman, Jason Jae Yeun Kim, Scott McClintock

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Incremental Value of Genotype Bins over the HAS-BLED Score for the Prediction of Bleeding Risk in Warfarin-Treated Patients with Atrial Fibrillation by Jia Liu, Guanyun Wang, Liu’an Qin, Yangxun Wu, Yuting Zou, Xuyun Wang, Ziqian Wang, Yuyan Wang, Shizhao Zhang, Yuxiao Zhang, Tong Yin

“…This study aimed to analyse the role of the HAS-BLED score with the addition of genotype bins for bleeding risk prediction in warfarin-treated patients with atrial fibrillation (AF). …”
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Effectiveness and Safety of the Coadministration of Rifampin and Warfarin versus Direct Oral Anticoagulants: A Cohort Study by Ju-Chieh Wung, Chia-Chen Hsu, Chi-En Wang, Yaa-Hui Dong, Chia-Chieh Lin, Szu-Yu Wang, Shih-Lin Chang, Yuh-Lih Chang

“…In addition, a higher HAS-BLED score was associated with a greater risk of bleeding events regardless of the class of OACs used. …”
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Comparative safety and effectiveness of oral anticoagulants in key subgroups of patients with non-valvular atrial fibrillation and at high risk of gastrointestinal bleeding: A coho... by Gregory Y H Lip, Robert Benamouzig, Anne-Céline Martin, Giancarlo Pesce, Gaelle Gusto, Nadia Quignot, Artak Khachatryan, Feng Dai, Fouad Sedjelmaci, Jose Chaves, Rupesh Subash, Ruth Mokgokong

“…The following subgroups were evaluated: patients age ≥75 years, receiving concomitant medications, HAS-BLED score ≥3, and chronic kidney disease stage 3-4. …”
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Development and Validation of a Nomogram for Predicting Mortality in Patients with Atrial Fibrillation and Acute Coronary Syndrome Who Underwent Percutaneous Coronary Intervention... by Can Hua, Haitao Tian, Yubin Wang, Jianyong Zheng, Pengfei Liu, Boyang Zhang, Nannan Wang, Haihong Tang, Feng Wang, Xiufeng Xie, Haifeng Yuan, Tianchang Li

“…In the validation cohort, the C-index of the nomogram for predicting all-cause death was 0.706 (95% CI 0.601-0.811), with no significant differences compared with GRACE and CRUSADE, but better than that of CHA2DS2-VASc and HAS-BLED. Conclusions. The nomogram has good prognostic prediction for patients with AF and ACS who underwent PCI.…”
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Combined Catheter Ablation and Left Atrial Appendage Closure in Atrial Fibrillation Patients with and without Prior Stroke by Bin-Feng Mo, Rui Zhang, Jia-Li Yuan, Jian Sun, Peng-Pai Zhang, Wei Li, Mu Chen, Qun-Shan Wang, Yi-Gang Li

“…Patients in the Stroke group had higher CHA2DS2-VASc scores (4.9 ± 1.2 vs. 3.2 ± 1.0, P<0.001) and higher HAS-BLED scores (3.5 ± 1.1 vs. 3.0 ± 1.0, P<0.001) compared with those in the Control group. …”
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Gastrointestinal Bleeding in Antithrombotic Therapy in Patients with Coronary Heart Disease: Risk Factors, Pathogenesis and Treatment by N. S. Lapina, A. A. Alekseeva, A. D. Vershinina, N. S. Khruleva, F. N. Muradova, L. Y. Koroleva

“…Risk factors of GIB during antithrombotic therapy in CHD patients include: GIB, gastric and/or duodenal ulcer in the history, reflux esophagitis, presence of H. pylori, inflammatory bowel disease, diverticula, haemorrhoids, angiodysplasia, gastrointestinal neoplasia, age above 65 years, concomitant treatment with non-steroidal anti-inflammatory drugs (NSAIDs), glomerular filtration rate &lt;50 mL/min, high doses of direct oral anticoagulants (DOACs) ≥3 in HAS-BLED score. Pathogenesis of GIB in the course of antithrombotic therapy is associated with systemic hypocoagulation and local damaging effects of these drugs. …”
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Using a Clinical Decision Support System to Improve Anticoagulation in Patients with Nonvalve Atrial Fibrillation in China’s Primary Care Settings: A Feasibility Study by Xueying Ru, Tianhao Wang, Lan Zhu, Yunhui Ma, Liqun Qian, Huan Sun, Zhigang Pan

“…The basic demographics were similar between the two groups, except for age (t = 2.109, p = 0.038) and the HAS-BLED score (χ2 = 4.363, p = 0.037). The primary outcome in the software group was 8.071 times higher than that in the control group (adjusted odds ratio (OR) = 8.071, 95% confidence interval (2.570–25.344), p < 0.001). …”
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