预测心房颤动患者导管消融术后复发的列线图模型A nomogram model for predicting recurrence after catheter ablation in patients with atrial fibrillation
方浩,王昌会,解杨婧,章胜,方玉莹,陈大年
摘要(Abstract):
目的 探讨心房颤动(房颤)患者导管消融术后复发的危险因素,并构建临床预测模型。方法 纳入2018年1月至2019年12月于安徽医科大学第一附属医院首次行导管消融术的房颤患者,随机分为开发集和验证集,比较两组患者的临床基线资料、血液学、心脏超声影像学指标等相关因素;应用单因素及多因素Logistic回归分析确定房颤术后复发的独立危险因素,借助R软件建立预测房颤术后复发的列线图模型,并对其进行验证。结果 多因素Logistic回归分析显示非阵发性房颤(OR 2.279,95%CI 1.409~3.687,P=0.001)、身体质量指数(BMI)(OR1.089,95%CI1.016~1.167,P=0.016)、左心房内径(LAD)(OR1.931,95%CI1.259~2.963,P=0.003)、中性粒细胞与淋巴细胞比值(NLR)≥1.758(OR2.443,95%CI1.543~3.869,P <0.001)均是房颤患者术后复发的独立危险因素。以此建立的列线图在开发集中预测房颤术后复发的一致性指数为0.712(95%CI 0.640~0.756),同时也得到验证集验证的支持(C指数:0.748,95%CI0.678~0.809),校准曲线显示列线图预测结果与实际结果的吻合度较好。列线图模型在开发集[曲线下面积(AUC)0.712,95%CI 0.640~0.756;灵敏度0.865,特异度0.443]和验证集(AUC 0.748,95%CI 0.678~0.809;灵敏度0.652,特异度0.800)均表现出良好的预测能力,两组间AUC值差异无统计学意义(Z=0.766,P=0.443)。Logistic回归分析发现APPLE评分、CAAP-AF评分均为房颤术后复发的预测因子(OR 1.576,95%CI 1.295~1.919,P<0.001;OR1.315,95%CI1.189~1.454,P<0.001)。基于开发集中三者受试者工作特征曲线分析,列线图模型(AUC 0.712)与APPLE评分(AUC 0.636)相比,差异有统计学意义(P<0.001);与CAAP-AF评分(AUC0.662)相比,差异亦有统计学意义(P=0.041),具有更好的预测价值。结论房颤类型、LAD、BMI及NLR构建的列线图模型可对房颤导管消融术后的复发进行有效预测,具有较好的应用价值。
关键词(KeyWords): 心房颤动;导管消融术;复发;独立危险因素;列线图
基金项目(Foundation):
作者(Author): 方浩,王昌会,解杨婧,章胜,方玉莹,陈大年
参考文献(References):
- [1] Lippi G, Sanchis-Gomar F, Cervellin G. Global epidemiology of atrial fibrillation:an increasing epidemic and public health challenge[J]. Int J Stroke,2021,16(2):217-221.
- [2] Al-Khatib SM, Benjamin EJ, Buxton AE, et al.Research needs and priorities for catheter ablation of atrial fibrillation:a report from a national heart, lung, and blood institute virtual workshop[J]. Circulation,2020,141(6):482-492.
- [3] Modin D, Claggett B,Gislason G, et al. Catheter ablation for atrial fibrillation is associated with lower incidence of heart failure and death[J]. Europace, 2020,22(1):74-83.
- [4] Hindricks G, Potpara T, Dagres N, et al. 2020 ESC guidelines for the diagnosis and management of atrial fi brillation developed in collaboration with the European Association for Cardio-Thoracic Surgery(EACTS):the task force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology(ESC)developed with the special contribution of the European Heart Rhythm Association(EHRA)of the ESC[J].Eur Heart J,2021,42(5):373-498.
- [5] Dong JZ, Sang CH, Yu RH, et al. Prospective randomized comparison between a fixed ‘2C3L’ approach vs. stepwise approach for catheter ablation of persistent atrial fibrillation[J]. Europace,2015,17(12):1798-1806.
- [6] Kornej J, Hindricks G, Shoemaker MB, et al. The APPLE score:a novel and simple score for the prediction of rhythm outcomes after catheter ablation of atrial fibrillation[J]. Clin Res Cardiol,2015,104(10):871-876.
- [7] Winkle RA, Jarman JW, Mead RH, et al. Predicting atrial fi brillation ablation outcome:the CAAP-AF score[J]. Heart Rhythm,2016,13(11):2119-2125.
- [8] Lip GY, Nieuwlaat R, Pisters R, et al. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fi brillation using a novel risk factor-based approach:the euro heart survey on atrial fi brillation[J]. Chest,2010,137(2):263-272.
- [9] Sultan A, Lüker J, Andresen D, et al. Predictors of atrial fibrillation recurrence after catheter ablation:data from the German Ablation Registry[J]. Sci Rep,2017,7(1):16678.
- [10] D’Ascenzo F, Corleto A, Biondi-Zoccai G, et al. Which are the most reliable predictors of recurrence of atrial fi brillation after transcatheter ablation?:a meta-analysis[J]. Int J Cardiol,2013,167(5):1984-1989.
- [11] Di Biase L, Burkhardt JD, Mohanty P, et al. Left atrial appendage isolation in patients with longstanding persistent af undergoing catheter ablation:BELIEF trial[J]. J Am Coll Cardiol,2016,68(18):1929-1940.
- [12] Della Rocca DG, Tarantino N, Trivedi C, et al. Nonpulmonary vein triggers in nonparoxysmal atrial fibrillation:implications of pathophysiology for catheter ablation[J]. J Cardiovasc Electrophysiol,2020,31(8):2154-2167.
- [13] Chatterjee NA, Giulianini F, Geelhoed B, et al. Genetic obesity and the risk of atrial fibrillation:causal estimates from mendelian randomization[J]. Circulation,2017,135(8):741-754.
- [14] Aune D, Sen A, Schlesinger S, et al. Body mass index,abdominal fatness, fat mass and the risk of atrial fi brillation:a systematic review and dose-response meta-analysis of prospective studies[J]. Eur J Epidemiol,2017,32(3):181-192.
- [15] Letsas KP, Siklódy CH, Korantzopoulos P, et al. The impact of body mass index on the e ffi cacy and safety of catheter ablation of atrial fi brillation[J]. Int J Cardiol, 2013, 164(1):94-98.
- [16] Glover BM, Hong KL, Dagres N, et al. Impact of b o d y mass index on the outcome of catheter ablation of atrial fi brillation[J]. Heart, 2019, 105(3):244-250.
- [17] Kirchhof P, Benussi S, Kotecha D, et al. 2016 ESC guidelines for the management of atrial fibrillation developed in collaboration with EACTS[J]. Eur Heart J, 2016, 37(38):2893-2962.
- [18] Deng H, Bai Y, Shantsila A, et al. Clinical scores for outcomes of rhythm control or arrhythmia progression in patients with atrial fibrillation:a systematic review[J]. Clin Res Cardiol, 2017, 106(10):813-823.
- [19] Lang RM, Badano LP, Mor-Avi V, et al. Recommendations for cardiac chamber quantification by echocardiography i n a d u l t s:a n u p d a t e f r o m t h e A m e r i c a n S o c i e t y o f E c h o c a r d i o g r a p h y a n d t h e E u r o p e a n A s s o c i a t i o n o f Cardiovascular Imaging[J]. J Am Soc Echocardiogr, 2015,28(1):1-39.
- [20] Shi J, Xu S, Chen L, et al. Impact of left atrial sphericity index on the outcome of catheter ablation for atrial fibrillation[J]. J Cardiovasc Transl Res, 2021, 14(5):912-920.
- [21] Hijazi Z, Aulin J, Andersson U, et al. Biomarkers of infl ammation and risk of cardiovascular events in anticoagulated patients with atrial fi brillation[J]. Heart, 2016, 102(7):508-517.
- [22] Jalife J, Kaur K. Atrial remodeling, fibrosis, and atrial fibrillation[J]. Trends Cardiovasc Med, 2015, 25(6):475-484.
- [23] Shao Q, Chen K, Rha SW, et al. Usefulness of neutrophil/lymphocyte ratio as a predictor of atrial fibrillation:a metaanalysis[J]. Arch Med Res, 2015, 46(3):199-206.
- [24] Canpolat U, Aytemir K, Yorgun H, et al. Role of preablation neutrophil/lymphocyte ratio on outcomes of cryoballoon-based atrial fibrillation ablation[J]. Am J Cardiol, 2013, 112(4):513-519.
- [25] Wójcik M, Berkowitsch A, Greiss H, et al. Repeated catheter ablation of atrial fi brillation:how to predict outcome[J]? Circ J, 2013, 77(9)2271-2279.
- [26] Canpolat U, Aytemir K, Yorgun H, et al. A proposal for a new scoring system in the prediction of catheter ablation outcomes:promising results from the Turkish Cryoablation Registry[J]. Int J Cardiol,2013,169(3):201-206.