Development of a Method to Risk Stratify Patients With Heart Failure for 30-Day Readmission Using Implantable Device Diagnostics

被引:24
|
作者
Whellan, David J. [1 ]
Sarkar, Shantanu [2 ]
Koehler, Jodi [2 ]
Small, Roy S. [3 ]
Boyle, Andrew [4 ]
Warman, Eduardo N. [2 ]
Abraham, William T. [5 ]
机构
[1] Thomas Jefferson Univ, Dept Med, Philadelphia, PA 19107 USA
[2] Medtronic Inc, Mounds View, MN USA
[3] Heart Grp, Lancaster, PA USA
[4] Aurora St Lukes Med Ctr, Div Cardiol, Milwaukee, WI USA
[5] Ohio State Univ, Div Cardiovasc Med, Columbus, OH 43210 USA
关键词
ATRIAL-FIBRILLATION; INTRATHORACIC IMPEDANCE; RATE-VARIABILITY; TRIAL; HOSPITALIZATION; ARRHYTHMIAS; MANAGEMENT; MORTALITY; ADMISSION; SECONDARY;
D O I
10.1016/j.amjcard.2012.08.050
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The aim of the present study was to evaluate whether diagnostic data collected after a heart failure (HF) hospitalization can identify patients with HF at risk of early readmission. The diagnostic data from cardiac resynchronization therapy defibrillator (CRT-D) devices can identify outpatient HF patients at risk of future HF events. In the present retrospective analysis of 4 studies, we identified patients with CRT-D devices, with a HF admission, and 30-day postdischarge follow-up data. The evaluation of the diagnostic data for impedance, atrial fibrillation, ventricular heart rate during atrial fibrillation, loss of CRT-D pacing, night heart rate, and heart rate variability was modeled to simulate a review of the first 7 days after discharge on the seventh day. Using a combined score created from the device parameters that were significant univariate predictors of 30-day HF readmission, 3 risk groups were created. A Cox proportional hazards model adjusting for age, gender, New York Heart Association class, and length of stay during the index hospitalization was used to compare the groups. The study cohort of 166 patients experienced a total of 254 HF hospitalizations, with 34 readmissions within 30 days. Daily impedance, high atrial fibrillation burden with poor rate control (>90 beat/min) or reduced CRT-D pacing (<90% pacing), and night heart rate >80 beats/min were significant univariate predictors of 30-day HF readmission. Patients in the "high"-risk group for the combined diagnostic had a significantly greater risk (hazard ratio. 25.4, 95% confidence interval 3.6 to 179.0, p = 0.001) compared to the "low"-risk group for 30-day readmission for HF. In conclusion, device-derived HF diagnostic criteria evaluated 7 days after discharge identified patients at significantly greater risk of a HF event within 30 days after discharge. (c) 2013 Elsevier Inc. All rights reserved. (Am J Cardiol 2013;111:79-84)
引用
收藏
页码:79 / 84
页数:6
相关论文
共 50 条
  • [11] Preoperative ICD risk score variables predict 30-day readmission after implantable cardioverter defibrillator implantation in patients with heart failure
    Oliver-McNeil, Sandra
    Templin, Thomas N.
    Haines, David E.
    HEART & LUNG, 2016, 45 (01): : 29 - 33
  • [12] Prediction of 30-Day Heart Failure-Specific Readmission Risk by Echocardiographic Parameters
    Thavendiranathan, Paaladinesh
    Yingchoncharoen, Teerapat
    Grant, Andrew
    Seicean, Sinziana
    Landers, Steven H.
    Gorodeski, Eiran Z.
    Marwick, Thomas H.
    AMERICAN JOURNAL OF CARDIOLOGY, 2014, 113 (02) : 335 - 341
  • [13] Validation of Predictive Score of 30-Day Hospital Readmission or Death in Patients With Heart Failure
    Quan Huynh
    Negishi, Kazuaki
    De Pasquale, Carmine G.
    Hare, James L.
    Leung, Dominic
    Stanton, Tony
    Marwick, Thomas H.
    AMERICAN JOURNAL OF CARDIOLOGY, 2018, 121 (03) : 322 - 329
  • [14] An Automated Model to Identify Heart Failure Patients at Risk for 30-Day Readmission or Death Using Electronic Medical Record Data
    Amarasingham, Ruben
    Moore, Billy J.
    Tabak, Ying P.
    Drazner, Mark H.
    Clark, Christopher A.
    Zhang, Song
    Reed, W. Gary
    Swanson, Timothy S.
    Ma, Ying
    Halm, Ethan A.
    MEDICAL CARE, 2010, 48 (11) : 981 - 988
  • [15] Heart failure drug classes and 30-day unplanned hospital readmission among patients with heart failure in Ethiopia
    Ayenew, Birhanu
    Kumar, Prem
    Hussein, Adem
    Gashaw, Yegoraw
    Girma, Mitaw
    Ayalew, Abdulmelik
    Tadesse, Beza
    JOURNAL OF PHARMACEUTICAL HEALTH CARE AND SCIENCES, 2023, 9 (01)
  • [16] Scoping review: Hospital nursing factors associated with 30-day readmission rates of patients with heart failure
    Jun, Jin
    Faulkner, Kenneth M.
    JOURNAL OF CLINICAL NURSING, 2018, 27 (7-8) : E1673 - E1683
  • [17] Perceived symptoms as the primary indicators for 30-day heart failure readmission
    Anderson, Kelley M.
    Murphy, Dottie
    Groninger, Hunter
    Kolm, Paul
    Wang, Haijun
    Barton-Maxwel, Vera
    PLOS ONE, 2022, 17 (05):
  • [18] Weight change in heart failure inpatients not associated with 30-day readmission
    Nanna, Michael G.
    Sullivan, Alexander E.
    Bazylevska, Vlada
    Wong, Risa L.
    Murphy, Terrence E.
    Bellumkonda, Lavanya
    McNamara, Robert L.
    FUTURE CARDIOLOGY, 2020, 16 (04) : 289 - 296
  • [19] Outcomes in Acute Heart Failure: 30-Day Readmission Versus Death
    McIlvennan C.K.
    Allen L.A.
    Current Heart Failure Reports, 2014, 11 (4) : 445 - 452
  • [20] Development and validation of a risk prediction model for 30-day readmission in elderly type 2 diabetes patients complicated with heart failure: a multicenter, retrospective study
    He, Yuxin
    Yuan, Yuan
    Tan, Qingzhu
    Zhang, Xiao
    Liu, Yunyu
    Xiao, Minglun
    FRONTIERS IN ENDOCRINOLOGY, 2025, 16