Comparison of prediction value of four bleeding risk scores for pulmonary embolism with anticoagulation: A real-world study in Chinese patients

被引:11
|
作者
Zhang, Zhu [1 ,2 ,3 ,4 ]
Lei, Jieping [5 ]
Zhai, Zhenguo [1 ]
Yang, Yuanhua [6 ,7 ]
Wan, Jun [1 ]
Xie, Wanmu [1 ]
Wang, Chen [1 ,2 ,3 ,4 ,5 ]
机构
[1] China Japan Friendship Hosp, Dept Pulm & Crit Care Med, Ctr Resp Med, 2 East Yinghua Rd, Beijing, Peoples R China
[2] Natl Clin Res Ctr Resp Dis, Beijing, Peoples R China
[3] Chinese Acad Med Sci, Peking Union Med Coll, Grad Sch, Beijing, Peoples R China
[4] Peking Union Med Coll, Beijing, Peoples R China
[5] China Japan Friendship Hosp, Inst Clin Med Sci, Data & Project Management Unit, Beijing, Peoples R China
[6] Capital Med Univ, Beijing Inst Resp Med, Beijing Chao Yang Hosp, Beijing, Peoples R China
[7] Capital Med Univ, Dept Resp Med, Beijing, Peoples R China
关键词
anticoagulants; bleeding complication; bleeding risk score; prognosis; pulmonary embolism; ACUTE VENOUS THROMBOEMBOLISM; HAS-BLED SCORE; ATRIAL-FIBRILLATION; VALIDATION; EVENTS; IDENTIFICATION; HEMORRHAGE; PREVENTION; INTENSITY; CHADS(2);
D O I
10.1111/crj.12993
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background Major bleeding (MB) and clinically relevant bleeding (CRB) are the most common seen complications associated with anticoagulation treatment for pulmonary embolism (PE) patients. A bleeding risk score (BRS) may help to accurately determine the risk of bleeding and make better decisions for patients in clinical practice. Methods Patients diagnosed as acute PE and who met the inclusion criteria in Beijing Chao-Yang Hospital from January 2009 to September 2013 were consecutively enrolled. Baseline data were collected. Four BRS (Kuijer score, RIETE score, Kearon score and Nieuwenhuis score) were assessed and compared using the area under the receiver operating characteristic curve (AUC). Results A total number of 563 patients were included in the study. Of which, 16 had MB and 89 had CRB within three months of anticoagulation treatment. Three months' cumulative incidence for MB and CRB events was 0.03 (95% CI 0.01-0.05) and 0.17 (95% CI 0.12-0.21), respectively. In our study population, the AUCs for Kuijer, RIETE, Kearon and Nieuwenhuis scores were 0.57 (95% CI 0.44 similar to 0.68), 0.56 (95% CI 0.45-0.71), 0.75 (95% CI 0.60 similar to 0.89) and 0.59 (95% CI 0.41 similar to 0.74), respectively. In addition, the AUCs of four BRS for CRB were all poor, with values less than 0.65. Conclusions Only the Kearon score appeared to have more accuracy in predicting the risk of MB. Further large prospective studies are needed to externally validate a BRS for CRB.
引用
收藏
页码:139 / 147
页数:9
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