New-onset atrial fibrillation incidence and associated outcomes in the medical intensive care unit

被引:4
作者
Brunetti, Ryan [1 ]
Zitelny, Edan [1 ]
Newman, Noah [1 ]
Bundy, Richa [2 ]
Singleton, Matthew J. [1 ]
Dowell, Jonathan [1 ]
Dharod, Ajay [2 ,3 ,4 ,5 ]
Bhave, Prashant D. [1 ]
机构
[1] Wake Forest Sch Med, Div Cardiovasc Med, Dept Internal Med, One Med Ctr Blvd,1 Med Ctr Blvd, Winston Salem, NC 27157 USA
[2] Wake Forest Ctr Biomed Informat, Winston Salem, NC USA
[3] Wake Forest Sch Med, Dept Implementat Sci, Winston Salem, NC 27157 USA
[4] Wake Forest Ctr Healthcare Innovat, Winston Salem, NC USA
[5] Wake Forest Sch Med, Dept Internal Med, Winston Salem, NC 27157 USA
来源
PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY | 2021年 / 44卷 / 08期
关键词
CHARGE-AF; medical intensive care unit; New-onset atrial fibrillation; New-onset atrial flutter; CRITICALLY-ILL PATIENTS; INDEPENDENT PREDICTOR; RISK; MORTALITY; SCORES;
D O I
10.1111/pace.14301
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background In patients with critical medical illness, data regarding new-onset atrial fibrillation (NOAF) is relatively sparse. This study examines the incidence, associated risk factors, and associated outcomes of NOAF in patients in the medical intensive care unit (MICU). Methods This single-center retrospective observational cohort study included 2234 patients with MICU stays in 2018. An automated extraction process using ICD-10 codes, validated by a 196-patient manual chart review, was used for data collection. Demographics, medications, and risk factors were collected. Multiple risk scores were calculated for each patient, and AF recurrence was also manually extracted. Length of stay, mortality, and new stroke were primary recorded outcomes. Results Two hundred and forty one patients of the 2234 patient cohort (11.4%) developed NOAF during their MICU stay. NOAF was associated with greater length of stay in the MICU (5.84 vs. 3.52 days, p < .001) and in the hospital (15.7 vs. 10.9 days, p < .001). Patients with NOAF had greater odds of hospital mortality (odds ratio (OR) = 1.92, 95% confidence interval (CI) 1.34-2.71, p < .001) and 1-year mortality (OR = 1.37, 95% CI 1.02-1.82, p = .03). CHARGE-AF scores performed best in predicting NOAF (area under the curve (AUC) 0.691, p < .001). Conclusions The incidence of NOAF in this MICU cohort was 11.4%, and NOAF was associated with a significant increase in hospital LOS and mortality. Furthermore, the CHARGE-AF score performed best in predicting NOAF.
引用
收藏
页码:1380 / 1386
页数:7
相关论文
共 24 条
[11]  
Klouwenberg PMCK, 2017, AM J RESP CRIT CARE, V195, P205, DOI [10.1164/rccm.201603-06180C, 10.1164/rccm.201603-0618OC]
[12]   A Simple Clinical Risk Score (C2HEST) for Predicting Incident Atrial Fibrillation in Asian Subjects Derivation in 471,446 Chinese Subjects, With Internal Validation and External Application in 451,199 Korean Subjects [J].
Li, Yan-Guang ;
Pastori, Daniele ;
Farcomeni, Alessio ;
Yang, Pil-Sung ;
Jang, Eunsun ;
Joung, Boyoung ;
Wang, Yu-Tang ;
Guo, Yu-Tao ;
Lip, Gregory Y. H. .
CHEST, 2019, 155 (03) :510-518
[13]   Lifetime risk for development of atrial fibrillation - The Framingham Heart Study [J].
Lloyd-Jones, DM ;
Wang, TJ ;
Leip, EP ;
Larson, MG ;
Levy, D ;
Vasan, RS ;
D'Agostino, RB ;
Massaro, JM ;
Beiser, A ;
Wolf, PA ;
Benjamin, EJ .
CIRCULATION, 2004, 110 (09) :1042-1046
[14]   Incidence and predictors of new-onset atrial fibrillation in noncardiac intensive care unit patients [J].
Makrygiannis, Stamatis S. ;
Margariti, Anastasia ;
Rizikou, Despina ;
Lampakis, Manolis ;
Vangelis, Spyros ;
Ampartzidou, Olga S. ;
Katsifa, Konstantina ;
Tselioti, Paraskevi ;
Foussas, Stefanos G. ;
Prekates, Athanasios A. .
JOURNAL OF CRITICAL CARE, 2014, 29 (04) :697.e1-697.e5
[15]  
McIntyre William F, 2017, J Atr Fibrillation, V9, P1475, DOI 10.4022/jafib.1475
[16]   New-Onset Atrial Fibrillation in the Critically Ill [J].
Moss, Travis J. ;
Calland, James Forrest ;
Enfield, Kyle B. ;
Gomez-Manjarres, Diana C. ;
Ruminski, Caroline ;
DiMarco, John P. ;
Lake, Douglas E. ;
Moorman, J. Randall .
CRITICAL CARE MEDICINE, 2017, 45 (05) :790-797
[17]   Stroke risk stratification in atrial fibrillation: a review of common risk factors [J].
Oladiran, Oreoluwa ;
Nwosu, Ifeanyi .
JOURNAL OF COMMUNITY HOSPITAL INTERNAL MEDICINE PERSPECTIVES, 2019, 9 (02) :113-120
[18]   A new risk score to assess atrial fibrillation risk in hypertensive patients (ESCARVAL-RISK Project [J].
Orozco-Beltran, Domingo ;
Quesada, Jose A. ;
Bertomeu-Gonzalez, Vicente ;
Lobos-Bejarano, Jose M. ;
Navarro-Perez, Jorge ;
Gil-Guillen, Vicente F. ;
Garcia Ortiz, Luis ;
Lopez-Pineda, Adriana ;
Castellanos-Rodriguez, Angel ;
Lopez-Domenech, Angela ;
Cardona-Llorens, Antonio Francisco J. ;
Carratala-Munuera, Concepcion .
SCIENTIFIC REPORTS, 2020, 10 (01)
[19]   Predicting New-Onset Post-Coronary Artery Bypass Graft Atrial Fibrillation With Existing Risk Scores [J].
Pollock, Benjamin D. ;
Filardo, Giovanni ;
da Graca, Briget ;
Phan, Teresa K. ;
Ailawadi, Gorav ;
Thourani, Vinod ;
Damiano, Ralph J., Jr. ;
Edgerton, James R. .
ANNALS OF THORACIC SURGERY, 2018, 105 (01) :115-121
[20]   Usefulness of CHADS2 and CHA2DS2-VASc Scores in the Prediction of New-Onset Atrial Fibrillation: A Population-Based Study [J].
Saliba, Walid ;
Gronich, Naomi ;
Barnett-Griness, Ofra ;
Rennert, Gad .
AMERICAN JOURNAL OF MEDICINE, 2016, 129 (08) :843-849