Predicting hospitalization due to worsening heart failure using daily weight measurement: analysis of the Trans‐European Network‐Home‐Care Management System (TEN‐HMS) study
暂无分享,去创建一个
John G F Cleland | J. Cleland | P. Cuddihy | K. Goode | Jufen Zhang | Kevin M Goode | Jufen Zhang | Paul E Cuddihy
[1] J. Concato,et al. Patterns of Weight Change Preceding Hospitalization for Heart Failure , 2007, Circulation.
[2] C. Eastwood,et al. Weight and Symptom Diary for Self-monitoring in Heart Failure Clinic Patients , 2007, The Journal of cardiovascular nursing.
[3] C. Zugck,et al. 289 Telemonitoring by congestive heart failure: Predictive value of blood pressure and weight instability in the early detection of pending cardial decompensation , 2007 .
[4] J. Cleland,et al. Telemonitoring or structured telephone support programmes for patients with chronic heart failure: systematic review and meta-analysis , 2007, BMJ : British Medical Journal.
[5] B. Massie,et al. Relative Predictive Utility of Changes in Weight and Impedance Cardiography-Based Thoracic Fluid Content To Identify Short-Term Risk of Clinical Decompensation in Stable Patients with Chronic Heart Failure , 2006 .
[6] R. Bali,et al. The Efficacy of the M-Health Paradigm: Incorporating Technological, Organisational and Managerial Perspectives , 2006 .
[7] N. Kipshidze,et al. Targeted vascular delivery of antisense molecules using intravenous microbubbles. , 2006, Cardiovascular revascularization medicine : including molecular interventions.
[8] C. Yancy. Current approaches to monitoring and management of heart failure. , 2006, Reviews in cardiovascular medicine.
[9] C. O’loughlin,et al. Clinical deterioration in established heart failure: What is the value of BNP and weight gain in aiding diagnosis? , 2005, European journal of heart failure.
[10] John G.F. Cleland,et al. Noninvasive home telemonitoring for patients with heart failure at high risk of recurrent admission and death: the Trans-European Network-Home-Care Management System (TEN-HMS) study. , 2005, Journal of the American College of Cardiology.
[11] A. Louis,et al. A systematic review of telemonitoring for the management of heart failure , 2003, European journal of heart failure.
[12] M. Walsh,et al. Randomized trial of a daily electronic home monitoring system in patients with advanced heart failure: the Weight Monitoring in Heart Failure (WHARF) trial. , 2003, American heart journal.
[13] C. Mcnally. 452 How useful is reported weight gain as a predictor of clinical decompensation in heart failure , 2003 .
[14] Winnie Cheng,et al. From Telemedicine to E-Health: Uncovering New Frontiers of Biomedical Research, Clinical Applications & Public Health Services Delivery , 2002, J. Comput. Inf. Syst..
[15] J. Tu,et al. Prognosis and Determinants of Survival in Patients Newly Hospitalized for Heart Failure: A Population-Based Study , 2002 .
[16] B L Charles,et al. Telemedicine can lower costs and improve access. , 2000, Healthcare financial management : journal of the Healthcare Financial Management Association.
[17] J. Cleland,et al. Is the prognosis of heart failure improving? , 1999, Journal of the American College of Cardiology.
[18] W Kazman,et al. Telemedicine leverages power of clinical information. Patients benefit from care providers' use of the Internet. , 1999, Health management technology.
[19] S de Lusignan,et al. A controlled pilot study in the use of telemedicine in the community on the management of heart failure--a report of the first three months. , 1999, Studies in health technology and informatics.
[20] D E Grobbee,et al. The epidemiology of heart failure. , 1997, European heart journal.
[21] M. Bristow,et al. Economic impact of heart failure in the United States: time for a different approach. , 1994, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.
[22] W. Youden,et al. Index for rating diagnostic tests , 1950, Cancer.