Effectiveness of a multidisciplinary heart failure disease management programme on 1-year mortality: Prospective cohort study

被引:19
作者
Laborde-Casterot, Herve [1 ]
Agrinier, Nelly [1 ,2 ]
Zannad, Faiez [2 ,3 ]
Mebazaa, Alexandre [4 ,5 ,6 ]
Rossignol, Patrick [2 ,3 ]
Girerd, Nicolas [2 ,3 ]
Alla, Francois [1 ]
Thilly, Nathalie [1 ,7 ]
机构
[1] Univ Lorraine, APEMAC EA4360, Nancy, France
[2] Univ Hosp Nancy, INSERM, U1116, CIC P 1433, Nancy, France
[3] F CRIN INI CRCT Network, Paris, France
[4] INSERM, U942, Paris, France
[5] Univ Paris Diderot, Sorbonne Paris Cite, Paris, France
[6] Hop Univ St Louis Lariboisiere, APHP, Dept Anesthesia & Crit Care, Paris, France
[7] Univ Hosp Nancy, Clin Epidemiol & Evaluat, INSERM, CIC EC 6, Nancy, France
关键词
disease management programme; heart failure; instrumental variable; observational study; propensity score; INSTRUMENTAL VARIABLE METHODS; PROPENSITY SCORE METHODS; HEALTH; GUIDELINES; TRENDS; TRIALS;
D O I
10.1097/MD.0000000000004399
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
We performed a multicenter prospective observational cohort study (Epidemiologie et Pronostic de l'Insuffisance Cardiaque Aigue en Lorraine, Epidemiology and Prognosis of Acute Heart Failure in Lorraine [EPICAL2]) to evaluate the effectiveness on mortality of a community-based multidisciplinary disease management programme (DMP) for heart failure (HF) patients.Between October 2011 and October 2012, 1816 patients, who were hospitalized for acute HF or who developed acute HF during a hospitalization, were included from 21 hospitals in a northeast region of France. At hospital admission, their mean age was 77.3 (standard deviation [SD] 11.6) years and mean left ventricular ejection fraction was 45.0 (SD 16.0)%. A subset of patients were enrolled in a multidimensional DMP for HF (n=312, 17.2%), based on structured patient education, home monitoring visits by HF-trained nurses, and automatic alerts triggered by significant clinical and biological changes to the patient. The DMP involved general practitioners, nurses, and cardiologists collaborating via an individual web-based medical electronic record. The outcome was all-cause mortality from the 3rd to the 12th month after discharge. During the follow-up, a total of 377 (20.8%) patients died: 321 (21.3%) in the control group and 56 (17.9%) in the DMP group. In a propensity score analysis, DMP was associated with lower 1-year all-cause mortality (hazard ratio 0.65, 95% CI 0.46-0.92). Instrumental variable analysis gave similar results (hazard ratio 0.56, 0.27-1.16).In a real world setting, a multidimensional DMP for HF with structured patient education, home nurse monitoring, and appropriate physician alerts may improve survival when implemented after discharge from hospitalization due to worsening HF.
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页数:9
相关论文
共 33 条
[1]  
ADELF, 2008, Rev Epidemiol Sante Publique, V56 Spec No 1, pS121
[2]   Effectiveness of a multidimensional home nurse led heart failure disease management program-A French nationwide time-series comparison [J].
Agrinier, Nelly ;
Altieri, Christelle ;
Alla, Francois ;
Jay, Nicolas ;
Dobre, Daniela ;
Thilly, Nathalie ;
Zannad, Faiez .
INTERNATIONAL JOURNAL OF CARDIOLOGY, 2013, 168 (04) :3652-3658
[3]   Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review [J].
Ali, M. Sanni ;
Groenwold, Rolf H. H. ;
Belitser, Svetlana V. ;
Pestman, Wiebe R. ;
Hoes, Arno W. ;
Roes, Kit C. B. ;
de Boer, Anthonius ;
Klungel, Olaf H. .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2015, 68 (02) :122-131
[4]   A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study [J].
Austin, Peter C. ;
Grootendorst, Paul ;
Anderson, Geoffrey M. .
STATISTICS IN MEDICINE, 2007, 26 (04) :734-753
[5]   The performance of different propensity score methods for estimating marginal hazard ratios [J].
Austin, Peter C. .
STATISTICS IN MEDICINE, 2013, 32 (16) :2837-2849
[6]   An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies [J].
Austin, Peter C. .
MULTIVARIATE BEHAVIORAL RESEARCH, 2011, 46 (03) :399-424
[7]  
Badano Luigi P, 2003, Ital Heart J, V4, P84
[8]  
Black N, 1996, BRIT MED J, V312, P1215
[9]   Sample size importantly limits the usefulness of instrumental variable methods, depending on instrument strength and level of confounding [J].
Boef, Anna G. C. ;
Dekkers, Olaf M. ;
Vandenbroucke, Jan P. ;
le Cessie, Saskia .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2014, 67 (11) :1258-1264
[10]   Multidisciplinary network in heart failure management in a community-based population: Results and benefits at 2 years [J].
Bonarek-Hessamfar, M. ;
Benchimol, D. ;
Lauribe, Ph. ;
Hadjo, A. ;
Matis, P. ;
Dartigues, J. F. ;
Bonnet, J. ;
Benchimol, H. .
INTERNATIONAL JOURNAL OF CARDIOLOGY, 2009, 134 (01) :120-122