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·926· http: //www.chinagp.net E-mail: zgqkyx@chinagp.net.cn March 2023, Vol.26 No.8
hypertrophic cardiomyopathy[J]. Arrhythm Electrophysiol Rev, 10.1161/CIRCEP.114.002553.
2017,6(2):63-68. DOI:10.15420/aer.2017.4.2. [31]WU J T,WANG S L,CHU Y J,et al. CHADS2 and CHA2DS2-
[20]《中国高血压防治指南》修订委员会 . 中国高血压防治指南 VASc scores predict the risk of ischemic stroke outcome in patients
2018 年修订版[J]. 心脑血管病防治,2019,19(1):1-44. with interatrial block without atrial fibrillation[J]. J Atheroscler
DOI:10.3969/j.issn.1009-816X.2019.01.001. Thromb,2017,24(2):176-184. DOI:10.5551/jat.34900.
[21]American Diabetes Association. Standards of medical care in [32]MOK Y,BALLEW S H,BASH L D,et al. International validation
diabetes—2010[J]. Diabetes Care,2010,33(Suppl 1): of the thrombolysis in myocardial infarction (TIMI) risk score for
S11-61. DOI:10.2337/dc10-S011. secondary prevention in post-MI patients:a collaborative analysis
[22]RAO S J. Regression modeling strategies:with applications to linear of the chronic kidney disease prognosis consortium and the risk
models,logistic regression,and survival analysis[J]. J Am Stat validation scientific committee[J]. J Am Heart Assoc,2018,7(14):
Assoc,2003,98(461):257-258. DOI:10.1198/jasa.2003. e008426. DOI:10.1161/JAHA.117.008426.
s263. [33]QI Y,WANG W Y,ZHANG K,et al. Development and validation
[23]ALBA A C,AGORITSAS T,WALSH M,et al. Discrimination of women acute myocardial infarction in-hospital mortality score
and calibration of clinical prediction models:users' guides to the (WAMI score)[J]. Int J Cardiol,2018,259:31-39. DOI:
medical literature[J]. JAMA,2017,318(14):1377-1384. 10.1016/j.ijcard.2017.12.010.
DOI:10.1001/jama.2017.12126. [34]HU W S,LIN C L. CHA2DS2-VASc score for prediction of
[24]VAN CALSTER B,NIEBOER D,VERGOUWE Y,et al. A ischemic stroke in patients with systemic lupus erythematosus
calibration hierarchy for risk models was defined:from Utopia to without atrial fibrillation[J]. Lupus,2018,27(8):1240-
empirical data[J]. J Clin Epidemiol,2016,74:167-176. 1246. DOI:10.1177/0961203318763535.
DOI:10.1016/j.jclinepi.2015.12.005. [35]KILIC S,KOCABAS U,CAN L H,et al. Predictive value of
[25]CAMP R L,DOLLED-FILHART M,RIMM D L. X-tile:a new CHA2DS2-VASc and CHA2DS2-VASc-HS scores for failed
bio-informatics tool for biomarker assessment and outcome-based reperfusion after thrombolytic therapy in patients with ST-segment
cut-point optimization[J]. Clin Cancer Res,2004,10(21): elevation myocardial infarction[J]. Cardiol J,2019,26(2):
7252-7259. DOI:10.1158/1078-0432.CCR-04-0713. 169-175. DOI:10.5603/CJ.a2018.0017.
[26]HE S,CHEN X P,CUI K J,et al. Validity evaluation of recently [36]VESELKA J. Hypertrophic cardiomyopathy is at increased risk of
published diabetes risk scoring models in a general Chinese thromboembolic events:deficiencies of CHA2DS2-VASC score
population[J]. Diabetes Res Clin Pract,2012,95(2):291- and how to predict[J]. Can J Cardiol,2019,35(12):1629-
298. DOI:10.1016/j.diabres.2011.10.039. 1630. DOI:10.1016/j.cjca.2019.07.004.
[27]顾俊,贾锋鹏,封盼攀 . CHADS2 与 CHA2DS2-VASc 评分对非 [37]ROYSTON P,MOONS K G M,ALTMAN D G,et al. Prognosis
瓣膜病房颤患者左房血栓的风险评估[J]. 南方医科大学学报, and prognostic research:developing a prognostic model[J].
2014,34(11):1601-1605. BMJ,2009,338:b604. DOI:10.1136/bmj.b604.
GU J,JIA F P,FENG P P. CHADS2 versus CHA2DS2- VASc [38]STEYERBERG E W,VERGOUWE Y. Towards better clinical
scoring systems for predicting left atrial Thrombus in patients with prediction models:seven steps for development and an ABCD for
nonvalvular atrial fibrillation[J]. Journal of Southern Medical validation[J]. Eur Heart J,2014,35(29):1925-1931.
University,2014,34(11):1601-1605. DOI:10.1093/eurheartj/ehu207.
[28]MELGAARD L,GORST-RASMUSSEN A,LANE D A,et al. [39]ALTMAN D G,VERGOUWE Y,ROYSTON P,et al. Prognosis
Assessment of the CHA2DS2-VASc score in predicting ischemic and prognostic research:validating a prognostic model[J].
stroke,thromboembolism,and death in patients with heart failure BMJ,2009,338:b605. DOI:10.1136/bmj.b605.
with and without atrial fibrillation[J]. JAMA,2015,314(10): [40]HIPPISLEY-COX J,COUPLAND C,ROBSON J,et al.
1030-1038. DOI:10.1001/jama.2015.10725. Predicting risk of type 2 diabetes in England and Wales:prospective
[29]PAVLOU M,AMBLER G,SEAMAN S R,et al. How to develop a derivation and validation of QDScore[J]. BMJ,2009,338:
more accurate risk prediction model when there are few events[J]. b880. DOI:10.1136/bmj.b880.
BMJ,2015,351:h3868. DOI:10.1136/bmj.h3868. [41]MOONS K G M,KENGNE A P,GROBBEE D E,et al. Risk
[30]VRIESENDORP P A,SCHINKEL A F L,LIEBREGTS M, prediction models:Ⅱ . External validation,model updating,and
et al. Validation of the 2014 European Society of Cardiology impact assessment[J]. Heart,2012,98(9):691-698.
guidelines risk prediction model for the primary prevention of DOI:10.1136/heartjnl-2011-301247.
sudden cardiac death in hypertrophic cardiomyopathy[J]. Circ (收稿日期:2022-04-12;修回日期:2022-10-10)
Arrhythm Electrophysiol,2015,8(4):829-835. DOI: (本文编辑:贾萌萌)