Left atrial echocardiographic parameters predict the onset of atrial fibrillation: the SMASH2 scoring system.
Left atrial echocardiographic parameters predict the onset of atrial fibrillation: the SMASH2 scoring system.
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DOI：
10.1007/s10840-022-01243-8
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发表时间：
2022-10
影响因子：
1.8
通讯作者：
McCauley, Mark D.
中科院分区：
文献类型：
--
作者：
Darlington, Ashley M.;Ziccardi, Mary C. Rodriguez;Konda, Sreenivas;Gonzalez-Gonzalez, Francisco J.;Nazir, Noreen T.;McCauley, Mark D.
背景随着房颤相关发病率和死亡率的增加，迫切需要改善监测和预防策略，以减少房颤和相关卒中的影响。具体的超声心动图参数，可以最好地预测未来发病的AF在3 months.MethodsTwenty AF患者，确定存在ICD-9诊断代码，与20名年龄和性别匹配的患者对照组进行比较，这些患者选自同一诊所人群，但未诊断为AF。首次记录的AF发作前90天内获得经胸超声心动图（TTE（研究组）或获得最接近的第一次临床访问（对照）被选中review.ResultsBaseline的特点，包括年龄，BMI，存在高血压，高脂血症，糖尿病，心力衰竭是可比的。左心房（LA）尺寸增大（双腔视图中收缩末期长轴：AF 4.62±0.03 vs对照组3.79±0.21，P =0.03），二尖瓣流入量增加（E/A比率：AF 1.35±0.15 vs对照组1.06±0.07，P =0.04），左心房整体纵向应变降低与对照组相比，AF组（AF-2.69 ± 0.26 vs对照组- 3.59±0.31，P =0.04）与AF最密切相关。使用多变量逻辑回归来开发AF发作的预测模型。影像学和传统临床风险因素的组合是最佳AF预测模型，AUC为0.94，大大超过了目前发表的最佳预测因子。从这些参数，我们开发了SMASH 2评分系统90天的AF risk estimation.ConclusionsRisk factors为AF和心房心肌病的早期功能，包括男性，高血压，左心房扩大，减少二尖瓣流入，并减少左心房应变是强大的预测AF发作90天内，并可用于acquesticate未来的AF风险。
BackgroundAs AF-associated morbidity and mortality are increasing, there is an acute need for improved surveillance and prevention strategies to reduce the impact of AF and related strokes. Specific echocardiographic parameters that can best predict future onset of AF within 3 months are lacking.MethodsTwenty patients with AF, as identified by presence of ICD-9 diagnosis code, were compared with a control group of twenty age- and sex-matched patients selected from the same clinic population but without a diagnosis of AF. Transthoracic echocardiograms (TTE) obtained within 90 days prior to first documented AF episode (study group) or obtained closest to first clinic visit (control) were selected for review.ResultsBaseline characteristics, including age, BMI, presence of hypertension, hyperlipidemia, diabetes, and heart failure were comparable. Increased left atrial (LA) size (end systolic major axis in 2-chamber view: AF 4.62±0.03 vs control 3.79±0.21, P =0.03), increased mitral inflow (E/A ratio: AF 1.35±0.15 vs control 1.06±0.07, P =0.04), and reduced LA global longitudinal strain (AF -2.69±0.26 vs control - 3.59±0.31, P =0.04) were most closely associated with AF compared with the control group. Multivariate logistic regression was used to develop predictive models for AF onset. A combination of imaging and traditional clinical risk factors was the best AF prediction model with AUC of 0.94, which greatly exceeds the current best predictors published. From these parameters, we developed the SMASH2 scoring system for 90- day AF risk estimation.ConclusionsRisk factors for AF and early features of atrial cardiomyopathy including male sex, hypertension, LA enlargement, reduced mitral inflow, and reduced LA strain are powerful predictors of AF onset within 90 days, and may be used to prognosticate future AF risk.
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影响因子：
37.8
作者：
Chugh SS;Havmoeller R;Narayanan K;Singh D;Rienstra M;Benjamin EJ;Gillum RF;Kim YH;McAnulty JH Jr;Zheng ZJ;Forouzanfar MH;Naghavi M;Mensah GA;Ezzati M;Murray CJ
通讯作者：
Murray CJ
影响因子：
2.6
作者：
Deng, Hai;Shantsila, Alena;Lip, Gregory Y. H.
通讯作者：
Lip, Gregory Y. H.
DOI：
10.1007/s00392-015-0856-x
发表时间：
2015-10
期刊：
Clinical research in cardiology : official journal of the German Cardiac Society
影响因子：
--
作者：
Kornej J;Hindricks G;Shoemaker MB;Husser D;Arya A;Sommer P;Rolf S;Saavedra P;Kanagasundram A;Patrick Whalen S;Montgomery J;Ellis CR;Darbar D;Bollmann A
通讯作者：
Bollmann A
影响因子：
3.3
作者：
Emren, Sadik Volkan;Kocabas, Ugur;Tuluce, Selcen
通讯作者：
Tuluce, Selcen