Michel Galinier

Blood signature of pre-heart failure: a microarrays study.

Background The preclinical stage of systolic heart failure (HF), known as asymptomatic left ventricular dysfunction (ALVD), is diagnosed only by echocardiography, frequent in the general population and leads to a high risk of developing severe HF. Large scale screening for ALVD is a difficult task and represents a major unmet clinical challenge that requires the determination of ALVD biomarkers. Methodology/Principal Findings 294 individuals were screened by echocardiography. We identified 9 ALVD cases out of 128 subjects with cardiovascular risk factors. White blood cell gene expression profiling was performed using pangenomic microarrays. Data were analyzed using principal component analysis (PCA) and Significant Analysis of Microarrays (SAM). To build an ALVD classifier model, we used the nearest centroid classification method (NCCM) with the ClaNC software package. Classification performance was determined using the leave-one-out cross-validation method. Blood transcriptome analysis provided a specific molecular signature for ALVD which defined a model based on 7 genes capable of discriminating ALVD cases. Analysis of an ALVD patients validation group demonstrated that these genes are accurate diagnostic predictors for ALVD with 87% accuracy and 100% precision. Furthermore, Receiver Operating Characteristic curves of expression levels confirmed that 6 out of 7 genes discriminate for left ventricular dysfunction classification. Conclusions/Significance These targets could serve to enhance the ability to efficiently detect ALVD by general care practitioners to facilitate preemptive initiation of medical treatment preventing the development of HF.

Improvement of Young and Elderly Patient’s Knowledge of Heart Failure After an Educational Session

Background Interest in the role of patient education sessions for optimizing the management of heart failure (HF) is increasing. We determined whether improvements in young and elderly patients knowledge of HF and self-care behavior could be analyzed by administering a knowledge test before and after an educational session. Methods Stable heart failure patients (n = 115) were enrolled in a prospective cohort study from our Heart Failure educational centre in a university hospital. Patient knowledge of six major HF-related topics was assessed via a questionnaire distributed once before an educational session and twice afterward. Each answer was assigned a numerical value and the final score for each topic could range from 0 to 20. Scores ≥ 15/20 were considered representative of a good level of knowledge. Results The level of knowledge was low (9.7/20) before the educational session but was significantly higher (16.3/20) during the 1st quarter after the session, and this benefit was maintained for up to 12 months (16.6/20). Knowledge levels increased in both younger and elderly patients, and the number of patients who had a good level of knowledge also increased after the educational session. Conclusion This study confirms that an HF knowledge test is feasible and that educational sessions improve the knowledge and self-management of both younger and elderly patients.