Predictors of Atrial Fibrillation in Patients With Cryptogenic Stroke

被引:5
|
作者
Renati, Swetha [1 ]
Stone, David K. [2 ]
Almeida, Leonardo [2 ]
Wilson, Christina A. [2 ]
机构
[1] Univ S Florida, Dept Neurol, 2 Tampa Gen Circle,6th Floor, Tampa, FL 33606 USA
[2] Univ Florida, Dept Neurol, Gainesville, FL USA
来源
NEUROHOSPITALIST | 2019年 / 9卷 / 03期
关键词
arrhythmia; cerebral embolism and thrombosis; thyroid gland; atrial fibrillation; cerebrovascular disease/stroke; CARDIAC OUTPATIENT TELEMETRY; ISCHEMIC-STROKE; SUBCLINICAL HYPOTHYROIDISM; RISK-FACTORS; ASSOCIATION; METAANALYSIS; INCREASE;
D O I
10.1177/1941874418819619
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose: Many patients diagnosed with cryptogenic stroke or transient ischemic attack are subsequently found to have atrial fibrillation (AF) on outpatient cardiac telemetry monitoring. Identification of predictive factors for the detection of AF could assist with patient selection to increase the yield of telemetry and hasten initiation of appropriate secondary stroke prevention. Methods: This was a retrospective cross-sectional study of patients diagnosed with cryptogenic stroke at a comprehensive stroke center and referred for at least 21 days of prolonged outpatient telemetry. Telemetry reports and data from the patient's stroke hospitalization, including imaging studies, electrocardiogram (EKG), echocardiogram, vital signs, and laboratory data, were reviewed. Results: Ten percent of the 121 patients included in the study were diagnosed with AF based on outpatient telemetry. There was a strong association between presence of premature atrial contractions (PACs) on admission EKG and subsequent detection of AF (P = .004). Large left atrial diameter on echocardiogram was correlated with AF detection in males (P = .024). However, there was no association between AF and other echocardiographic measurements. Thyroid-stimulating hormone (TSH) levels were significantly higher in patients with cryptogenic stroke having AF (P = .008), with a TSH greater than 4.20 mIU/L predictive of detection of AF (P < .001). Conclusions: Atrial fibrillation was found by outpatient monitoring in a notable percentage of patients with cryptogenic stroke. Predictors of occult AF in our study population included PACs and higher TSH levels. Although an association between low TSH and AF has been well established, our results suggest that high TSH may be a predictive factor as well.
引用
收藏
页码:127 / 132
页数:6
相关论文
共 50 条
  • [1] Predictors of atrial fibrillation in patients with cryptogenic stroke
    Renati, Swetha
    Almeida, Leonardo
    Warren, Sonisha
    Wilson, Christina
    NEUROLOGY, 2017, 88
  • [2] PREDICTORS OF PAROXYSMAL ATRIAL FIBRILLATION IN PATIENTS WITH A CRYPTOGENIC STROKE
    Apple, Samuel J.
    Borck, Jacob
    Choppa, Adrian
    Parker, Matthew
    Flomenbaum, David E.
    Rosenbaum, Shalom
    Ferrick, Neal
    Chudow, Jay
    Di Biase, Luigi
    Ferrick, Kevin J.
    Krumerman, Andrew
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2024, 83 (13) : 216 - 216
  • [3] Electrocardiographic predictors of atrial fibrillation in patients with cryptogenic stroke
    de Leon, Ana
    Neira, Victor
    Alhammad, Nasser
    Hopman, Wilma
    Hansom, Simon
    Chacko, Sanoj
    Simpson, Chris
    Redfearn, Damian
    Abdollah, Hoshiar
    Arauz, Antonio
    Baranchuk, Adrian
    Enriquez, Andres
    PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 2022, 45 (02): : 176 - 181
  • [4] Echocardiographic predictors of occult atrial fibrillation in patients with cryptogenic stroke
    Kim, P.
    Tao, M.
    Gier, C.
    Kemppainen, C.
    Al-Sadawi, M.
    Aslam, F.
    Henriques, M.
    Singh, A.
    Almasry, I.
    Dianati-Maleki, N.
    Fan, R.
    Rashba, E.
    Kort, S.
    EUROPEAN HEART JOURNAL, 2023, 44
  • [5] Atrial Fibrillation in Patients with Cryptogenic Stroke
    Gladstone, David J.
    Spring, Melanie
    Dorian, Paul
    Panzov, Val
    Thorpe, Kevin E.
    Hall, Judith
    Vaid, Haris
    O'Donnell, Martin
    Laupacis, Andreas
    Cote, Robert
    Sharma, Mukul
    Blakely, John A.
    Shuaib, Ashfaq
    Hachinski, Vladimir
    Coutts, Shelagh B.
    Sahlas, Demetrios J.
    Teal, Phil
    Yip, Samuel
    Spence, J. David
    Buck, Brian
    Verreault, Steve
    Casaubon, Leanne K.
    Penn, Andrew
    Selchen, Daniel
    Jin, Albert
    Howse, David
    Mehdiratta, Manu
    Boyle, Karl
    Aviv, Richard
    Kapral, Moira K.
    Mamdani, Muhammad
    NEW ENGLAND JOURNAL OF MEDICINE, 2014, 370 (26): : 2467 - 2477
  • [6] Electrocardiographic Predictors of Silent Atrial Fibrillation in Cryptogenic Stroke
    Acampa, Maurizio
    Lazzerini, Pietro Enea
    Guideri, Francesca
    Tassi, Rossana
    Andreini, Ilenia
    Domenichelli, Carlo
    Cartocci, Alessandra
    Martini, Giuseppe
    HEART LUNG AND CIRCULATION, 2019, 28 (11): : 1664 - 1669
  • [7] PREDICTORS FOR UNDERLYING ATRIAL FIBRILLATION IN CRYPTOGENIC STROKE PATIENTS MONITORED WITH ICM IN THE NORDIC ATRIAL FIBRILLATION AND STROKE (NORFIB) STUDY
    Ratajczak-Tretel, B.
    Lambert, A.
    Atar, D.
    Aamodt, A. H.
    INTERNATIONAL JOURNAL OF STROKE, 2023, 18 (03) : 49 - 49
  • [8] Predictors of Finding Occult Atrial Fibrillation After Cryptogenic Stroke
    Favilla, Christopher G.
    Ingala, Erin
    Jara, Jenny
    Fessler, Emily
    Cucchiara, Brett
    Messe, Steven R.
    Mullen, Michael T.
    Prasad, Allyson
    Siegler, James
    Hutchinson, Mathew D.
    Kasner, Scott E.
    STROKE, 2015, 46 (05) : 1210 - 1215
  • [9] Predictors of atrial fibrillation on implantable cardiac monitoring for cryptogenic stroke
    Amar D. Desai
    Emily Howe
    Ellie Coromilas
    Yiyi Zhang
    Jose M. Dizon
    Joshua Willey
    Angelo B. Biviano
    Hasan Garan
    Elaine Y. Wan
    Journal of Interventional Cardiac Electrophysiology, 2022, 65 : 7 - 14
  • [10] Predictors of atrial fibrillation on implantable cardiac monitoring for cryptogenic stroke
    Desai, Amar D.
    Howe, Emily
    Coromilas, Ellie
    Zhang, Yiyi
    Dizon, Jose M.
    Willey, Joshua
    Biviano, Angelo B.
    Garan, Hasan
    Wan, Elaine Y.
    JOURNAL OF INTERVENTIONAL CARDIAC ELECTROPHYSIOLOGY, 2022, 65 (01) : 7 - 14