Carine Tabak BS , Ross Smith BS , Matthew Bajaj BS , Sarah Baghdadi BS , Riya Parikh BS , Robert Enders MD , Cody Uhlich MD , Amulya Gupta MBBS , Ethan Morgan DO , Jacob Baer DO , Christopher J. Harvey , Sania Jiwani MBBS , Ashutosh Bapat MD , Kamal Gupta MD , Mark A. Wiley MD , Raghuveer Dendi MD , Seth H. Sheldon MD, FHRS , Madhu Reddy MD, FHRS , Amit Noheria MBBS, SM
{"title":"左心房阑尾排空速度的预测因素:CHIRP3(M-1)评分的推导与验证。","authors":"Carine Tabak BS , Ross Smith BS , Matthew Bajaj BS , Sarah Baghdadi BS , Riya Parikh BS , Robert Enders MD , Cody Uhlich MD , Amulya Gupta MBBS , Ethan Morgan DO , Jacob Baer DO , Christopher J. Harvey , Sania Jiwani MBBS , Ashutosh Bapat MD , Kamal Gupta MD , Mark A. Wiley MD , Raghuveer Dendi MD , Seth H. Sheldon MD, FHRS , Madhu Reddy MD, FHRS , Amit Noheria MBBS, SM","doi":"10.1016/j.hrthm.2024.09.065","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Atrial fibrillation (AF) leads to impaired left atrial appendage contractility, increasing the risk of thromboembolic stroke. The left atrial appendage emptying velocity (LAAev) measured on transesophageal echocardiogram (TEE) is a marker of increased thromboembolic risk.</div></div><div><h3>Objectives</h3><div>The purpose of this study was to evaluate predictors of reduced LAAev for identifying individuals at increased risk for cardioembolic stroke.</div></div><div><h3>Methods</h3><div>This was a single-center retrospective review of TEEs and clinical charts. Predictors of LAAev <30 cm/s were identified using logistic regression. A risk prediction model was created using stepwise selection in a derivation set (n = 695) and separately tested in a validated set (n = 300).</div></div><div><h3>Results</h3><div>We included TEEs on 995 patients (age 71.3±12.7 years; female 38.1%; history of AF 82.1%; in AF at evaluation 27.7%; CHA<sub>2</sub>DS<sub>2</sub>-VASc score 4.1 ± 1.9; LAAev 41.6 ± 21.0 cm/s). Significant multivariable predictors of LAAev <30 cm/s in derivation set were used to create the CHIRP<sup>3</sup>M<sub>-1</sub> score containing 8 variables: Coronary artery disease (1), congestive Heart failure (1), Increased left atrial volume index ≥42 mL/m<sup>2</sup> (1), current Rhythm AF (1), Paroxysmal AF (2), Persistent AF (3), longstanding Persistent/permanent AF (4), and greater than moderate Mitral regurgitation (-1). In the validation set, as compared to intermediate scores (3–4), those with low scores (≤2) and high scores (≥5) had odds ratios for LAAev <30 cm/s of 0.41 (0.21, 0.78, <em>P</em> = .007) and 2.58 (95% confidence interval 1.45–4.61, <em>P</em> = .001), respectively.</div></div><div><h3>Conclusion</h3><div>We developed and validated a novel risk stratification system to predict reduced LAAev using clinical and echocardiographic variables. This may help refine the stratification of cardioembolic stroke risk.</div></div>","PeriodicalId":12886,"journal":{"name":"Heart rhythm","volume":"22 4","pages":"Pages 923-931"},"PeriodicalIF":5.6000,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictors of left atrial appendage emptying velocity: Derivation and validation of CHIRP3(M-1) score\",\"authors\":\"Carine Tabak BS , Ross Smith BS , Matthew Bajaj BS , Sarah Baghdadi BS , Riya Parikh BS , Robert Enders MD , Cody Uhlich MD , Amulya Gupta MBBS , Ethan Morgan DO , Jacob Baer DO , Christopher J. Harvey , Sania Jiwani MBBS , Ashutosh Bapat MD , Kamal Gupta MD , Mark A. Wiley MD , Raghuveer Dendi MD , Seth H. Sheldon MD, FHRS , Madhu Reddy MD, FHRS , Amit Noheria MBBS, SM\",\"doi\":\"10.1016/j.hrthm.2024.09.065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Atrial fibrillation (AF) leads to impaired left atrial appendage contractility, increasing the risk of thromboembolic stroke. The left atrial appendage emptying velocity (LAAev) measured on transesophageal echocardiogram (TEE) is a marker of increased thromboembolic risk.</div></div><div><h3>Objectives</h3><div>The purpose of this study was to evaluate predictors of reduced LAAev for identifying individuals at increased risk for cardioembolic stroke.</div></div><div><h3>Methods</h3><div>This was a single-center retrospective review of TEEs and clinical charts. Predictors of LAAev <30 cm/s were identified using logistic regression. A risk prediction model was created using stepwise selection in a derivation set (n = 695) and separately tested in a validated set (n = 300).</div></div><div><h3>Results</h3><div>We included TEEs on 995 patients (age 71.3±12.7 years; female 38.1%; history of AF 82.1%; in AF at evaluation 27.7%; CHA<sub>2</sub>DS<sub>2</sub>-VASc score 4.1 ± 1.9; LAAev 41.6 ± 21.0 cm/s). Significant multivariable predictors of LAAev <30 cm/s in derivation set were used to create the CHIRP<sup>3</sup>M<sub>-1</sub> score containing 8 variables: Coronary artery disease (1), congestive Heart failure (1), Increased left atrial volume index ≥42 mL/m<sup>2</sup> (1), current Rhythm AF (1), Paroxysmal AF (2), Persistent AF (3), longstanding Persistent/permanent AF (4), and greater than moderate Mitral regurgitation (-1). In the validation set, as compared to intermediate scores (3–4), those with low scores (≤2) and high scores (≥5) had odds ratios for LAAev <30 cm/s of 0.41 (0.21, 0.78, <em>P</em> = .007) and 2.58 (95% confidence interval 1.45–4.61, <em>P</em> = .001), respectively.</div></div><div><h3>Conclusion</h3><div>We developed and validated a novel risk stratification system to predict reduced LAAev using clinical and echocardiographic variables. 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Predictors of left atrial appendage emptying velocity: Derivation and validation of CHIRP3(M-1) score
Background
Atrial fibrillation (AF) leads to impaired left atrial appendage contractility, increasing the risk of thromboembolic stroke. The left atrial appendage emptying velocity (LAAev) measured on transesophageal echocardiogram (TEE) is a marker of increased thromboembolic risk.
Objectives
The purpose of this study was to evaluate predictors of reduced LAAev for identifying individuals at increased risk for cardioembolic stroke.
Methods
This was a single-center retrospective review of TEEs and clinical charts. Predictors of LAAev <30 cm/s were identified using logistic regression. A risk prediction model was created using stepwise selection in a derivation set (n = 695) and separately tested in a validated set (n = 300).
Results
We included TEEs on 995 patients (age 71.3±12.7 years; female 38.1%; history of AF 82.1%; in AF at evaluation 27.7%; CHA2DS2-VASc score 4.1 ± 1.9; LAAev 41.6 ± 21.0 cm/s). Significant multivariable predictors of LAAev <30 cm/s in derivation set were used to create the CHIRP3M-1 score containing 8 variables: Coronary artery disease (1), congestive Heart failure (1), Increased left atrial volume index ≥42 mL/m2 (1), current Rhythm AF (1), Paroxysmal AF (2), Persistent AF (3), longstanding Persistent/permanent AF (4), and greater than moderate Mitral regurgitation (-1). In the validation set, as compared to intermediate scores (3–4), those with low scores (≤2) and high scores (≥5) had odds ratios for LAAev <30 cm/s of 0.41 (0.21, 0.78, P = .007) and 2.58 (95% confidence interval 1.45–4.61, P = .001), respectively.
Conclusion
We developed and validated a novel risk stratification system to predict reduced LAAev using clinical and echocardiographic variables. This may help refine the stratification of cardioembolic stroke risk.
期刊介绍:
HeartRhythm, the official Journal of the Heart Rhythm Society and the Cardiac Electrophysiology Society, is a unique journal for fundamental discovery and clinical applicability.
HeartRhythm integrates the entire cardiac electrophysiology (EP) community from basic and clinical academic researchers, private practitioners, engineers, allied professionals, industry, and trainees, all of whom are vital and interdependent members of our EP community.
The Heart Rhythm Society is the international leader in science, education, and advocacy for cardiac arrhythmia professionals and patients, and the primary information resource on heart rhythm disorders. Its mission is to improve the care of patients by promoting research, education, and optimal health care policies and standards.