References of "Donneau, Anne-Françoise"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailCan video-assistance improve the quality of pediatric dispatcher-assisted cardiopulmonary resuscitation? (IN PROGRESS)
PETERS, Michaël ULiege; Stipulante, Samuel ULiege; Cloes, Véronique et al

in Pediatric Emergency Care (in press)

Detailed reference viewed: 40 (8 ULiège)
Full Text
Peer Reviewed
See detailFEASABILITY AND EFFECTIVENESS OF A HOME-BASED SOMATOSENSORY TRAINING IN PATIENTS WITH CHRONIC MUSCULOSKELETAL PAIN
Demoulin, Christophe ULiege; Steveler, Caroline ULiege; Timmermans, Annick et al

in Abstract Book of 22th European Congress of Physcial and Rehabilitation Medicine (2020, September)

Detailed reference viewed: 30 (2 ULiège)
Full Text
Peer Reviewed
See detailExploring Nursing Student Self-esteem and its Relationship to Clinical Competence Development: Protocol for A Multiphase Convergent Mixed Methods Study
Dancot, Jacinthe ULiege; Pétré, Benoît ULiege; Detroz, Pascal ULiege et al

in International Journal of Nursing and Clinical Practices (2020), 7

Background: Self-esteem affects nursing students’ well-being and may impact their competence development. Nursing students appear to be at risk for low self-esteem, and their training may negatively ... [more ▼]

Background: Self-esteem affects nursing students’ well-being and may impact their competence development. Nursing students appear to be at risk for low self-esteem, and their training may negatively impact that selfesteem. The existing research, with its controversies, methodological issues, and gaps, has failed to fully portray or explain this phenomenon. Mruk’s two-dimensional model of self-esteem offers an operative theoretical framework based on self-competence and self-liking. The model describes the nature of ‘selfesteem moments’ in which self-esteem changes. The aim of this study is to answer the question: “How does undergraduate nursing education influence students’ self-esteem, specifically regarding the development of their clinical competence?” Methods: A longitudinal design is needed to describe changes during undergraduate nursing education. A mixed methods study is required to measure and explain those changes, with a convergent, multiphase design. A nursing student cohort is created by accidental sampling in four Belgian high schools and followed for three years. Quantitative data including sociodemographic data, self-esteem (as measured by the Rosenberg scale and the Tafarodi & Swann scale), self-efficacy, and state anxiety (Spielberger scale) are collected each year. These data will be used to describe changes in self-esteem level and profile during nursing education. Multivariate analysis is used to identify correlated factors. Qualitative data are collected each year via semi-structured interviews with a cohort created by purposive sampling; content analysis is performed on that data(hermeneutic phenomenology) to identify themes using repetitions, similarities and differences, indigenous categories, and theory-related material. The quantitative and qualitative data are then combined into a meta-matrix. Discussion: The challenges encountered during study designing involved following the cohort while minimizing missing data, validating the French translation of a self-esteem scale using nursing students, and dealing with a large volume of data, especially when assembling it into a meta-matrix. The aim of the study is to help educational institutions tackle the self-esteem issue. Future studies might also compare nursing students to other students, explore the situation of dropouts, and evaluate self-esteem-related pedagogical devices. [less ▲]

Detailed reference viewed: 86 (8 ULiège)
Full Text
Peer Reviewed
See detailAssociation of Dietary Patterns Derived Using Reduced-Rank Regression With Subclinical Cardiovascular Damage According to Generation and Sex in the STANISLAS Cohort
Wagner, Sandra; Lioret, Sandrine; Girerd, Nicolas et al

in Journal of the American Heart Association (2020)

Background-—The diet impact on cardiovascular diseases has been investigated widely, but the association between dietary patterns (DPs) and subclinical cardiovascular damage remains unclear. More ... [more ▼]

Background-—The diet impact on cardiovascular diseases has been investigated widely, but the association between dietary patterns (DPs) and subclinical cardiovascular damage remains unclear. More informative DPs could be provided by considering metabolic syndrome components as intermediate markers. This study aimed to identify DPs according to generation and sex using reduced-rank regression (RRR) with metabolic syndrome components as intermediate markers and assess their associations with intima-media thickness, left ventricular mass, and carotid-femoral pulse-wave velocity in an initially healthy population-based family study. Methods and Results-—This study included 1527 participants from the STANISLAS (Suivi Temporaire Annuel Non-Invasif de la Sant e des Lorrains Assur es Sociaux) cohort fourth examination. DPs were derived using reduced-rank regression according to generation (G1: age ≥50 years; G2: age <50 years) and sex. Associations between DPs and cardiovascular damage were analyzed using multivariable linear regression models. Although identified DPs were correlated between generations and sex, qualitative differences were observed: whereas only unhealthy DPs were found for both men generations, healthy DPs were identified in G2 (“fruity desserts”) and G1 (“fiber and w3 oil”) women. The “alcohol,”“fast food and alcohol,”“fried, processed, and dairy products,” and “meat, starch, sodas, and fat” DPs in G1 and G2 men and in G1 and G2 women, respectively, were associated with high left ventricular mass (b [95% CI], 0.23 [0.10–0.36], 0.76 [0.00–1.52], 1.71 [0.16–3.26], and 1.80 [0.45–3.14]). The “alcohol” DP in G1 men was positively associated with carotid-femoral pulse-wave velocity (0.22 [0.09–0.34]). Conclusions-—The DPs that explain the maximum variation in metabolic syndrome components had different associations with subclinical cardiovascular damage across generation and sex. Our results indicate that dietary recommendations should be tailored according to age and sex. [less ▲]

Detailed reference viewed: 33 (3 ULiège)
See detailCONTRIBUTION A LA VALIDATION D’UN PROTOCOLE 112 D’ASSISTANCE A LA MISE EN PLACE D’UN GARROT ARTERIEL : UNE ETUDE CONTROLEE ET RANDOMISEE
Poncin, Elodie; Stipulante, Samuel ULiege; Losfeld, Xavier et al

Conference (2020, March 31)

Detailed reference viewed: 25 (2 ULiège)
Full Text
Peer Reviewed
See detailAssessing quality of life in an obesity observational study: A Structural Equation Modeling Approach
Dardenne, Nadia ULiege; Pétré, Benoît ULiege; Husson, Eddy ULiege et al

in Applied Research in Quality of Life (2020), 15

Purpose: Quality of life (QOL) of a patient is usually computed as the (weighted) sum of items and analysed by means of multiple regressions to evaluate its relationships with various measured factors ... [more ▼]

Purpose: Quality of life (QOL) of a patient is usually computed as the (weighted) sum of items and analysed by means of multiple regressions to evaluate its relationships with various measured factors. The aim of the present study was to compare results derived under classical statistical method with those obtained under more appropriate statistical techniques for QOL. Methods: Analyses were applied to data from 4155 subjects participated in 2012 in a community based sample study in the French speaking part of Belgium and which completed a web-based questionnaire on their weight-related experience. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were carried out to derive QOL and to test direct/indirect effects of body mass index (BMI), age, body image discrepancy (BID), latent socio-economic (SOCIO) and latent subjective-norm (SN). Results: No major differences were found under both SEM and the product of coefficients approach using SAS PROCESS macro developed by Hayes. Significant direct and indirect effects on physical and psychological dimensions of QOL were found for age, BMI and SOCIO while significant direct effects were found for BID and SN (p < 0.0001). Factor loadings were found to be significantly different according to gender (p < 0.0001). Conclusions: BID and SN are partially mediators on the relationships between BMI and QOL. The study also confirms the role of SOCIO on the (un)observable variables included in the model. However, the large sample size provided significant tests with small effect size and couldn’t highlight pertinent differences between both methods. [less ▲]

Detailed reference viewed: 63 (16 ULiège)
Full Text
Peer Reviewed
See detailImmersion in an emergency department triage center during the Covid-19 outbreak: first report of the Liège University hospital experience
GILBERT, Allison ULiege; BRASSEUR, Edmond ULiege; PETIT, Meredith ULiege et al

in Acta Clinica Belgica (2020)

Objectives: Since the beginning of the novel coronavirus outbreak, different strategies have been explored to stem the spread of the disease and appropriately manage patient flow. Triage, an effective ... [more ▼]

Objectives: Since the beginning of the novel coronavirus outbreak, different strategies have been explored to stem the spread of the disease and appropriately manage patient flow. Triage, an effective solution proposed in disaster medicine, also works well to manage Emergency Department (ED) flow. The aim of this study was to describe the role of an ED Triage Center for patients with suspected novel coronavirus disease (Covid-19) and character- ize the patient flow. Methods: In March 2020, we established a Covid-19 triage center close to the Liège University EDs. From March 2 to March 23, we planned to analyze the specific flow of patients admitted to this triage zone and their characteristics in terms of inner specificities, work-up and manage- ment. During this period, all patients presented to the ED with symptoms suggestive of Covid- 19 were included in the study. Results: A total amount of 1071 patients presented to the triage center during the study period. 41.50% of the patients presented with flu-like symptoms. In 82.00% of the cases, no risk factor of virus transmission was found. The SARS-Cov2 positive patients represented 29.26% of the screened patients. 83.00% of patients were discharged home while 17.00% were admitted to the hospital. Conclusion: Our experience suggests that triage centers for the assessment and management of Covid-19 suspected patients is an essential key strategy to prevent the spread of the disease among non-symptomatic patients who present to the EDs for care. This allows for a disease- centered work-up and safer diversion of Covid-19 patients to specific hospital units. [less ▲]

Detailed reference viewed: 48 (5 ULiège)
Full Text
Peer Reviewed
See detailAssessment of diagnostic accuracy of lung function indices and FeNO for a positive methacholine challenge
Bougard, Nicolas ULiege; Nekoee Zahraei, Halehsadat ULiege; SCHLEICH, FLorence ULiege et al

in Biochemical Pharmacology (2020)

Demonstration of bronchial hyperresponsiveness is a key feature in asthma diagnosis. Methacholine challenge has proved to be a highly sensitive test to diagnose asthma in patients with chronic respiratory ... [more ▼]

Demonstration of bronchial hyperresponsiveness is a key feature in asthma diagnosis. Methacholine challenge has proved to be a highly sensitive test to diagnose asthma in patients with chronic respiratory symptoms and preserved baseline lung function (FEV1 > 70% pred.) but is time consuming and may sometimes reveal unpleasant to the patient. We conducted a retrospective study on 270 patients recruited from the University Asthma Clinic of Liege. We have compared the values of several lung function indices and fractional exhaled nitric oxide (FeNO) in predicting a provocative methacholine concentration ≤16 mg/ml on a discovery cohort of 129 patients (57 already on ICS) and on a validation cohort of 141 patients (66 already on ICS). In the discovery study (n = 129), 85 patients (66%) had a positive methacholine challenge with PC20M ≤ 16 mg/ml. Those patients had lower baseline % predicted FEV1 (92% vs. 100%; p < 0.01), lower FEV1/FVC ratio (79% vs. 82%; p < 0.05), higher RV/TLC ratio (114% vs. 100%; p < 0,0001), lower SGaw (specific conductance) (0.76 vs. 0.95; p < 0,001) and higher FeNO (29 ppb vs. 19 ppb; p < 0,01). When performing ROC curve the RV/TLC ratio provided the greatest AUC (0.74, p < 0.001), sGAW had intermediate AUC of 0.69 (p < 0.001) while FeNO, FEV1 and FEV1/FVC ratio were modestly predictive (AUC of 0.65 (p < 0.05), 0,67 (p < 0.001) and 0,63 (p < 0.001). These results were confirmed in the validation study (n = 141). Based on a logistic regression analysis, significant variables associated with positive methacholine challenge were FeNO and RV/TLC (% Pred). A combined application of FeNO and RV/TLC (% Pred) for predicting the PC20M had a specificity of 85%, a sensitivity of 59% and an AUC of 0.79. In the validation study, three variables (RV/TLC, FeNO and FEV1) were independently associated with positive methacholine challenge and the combination of these three variables yielded a specificity of 77%, a sensitivity of 39% and an AUC of 0.77. The RV/TLC ratio combined to FeNO may be of interest to predict significant methacholine bronchial hyperresponsiveness. © 2020 Elsevier Inc. [less ▲]

Detailed reference viewed: 29 (2 ULiège)
Full Text
Peer Reviewed
See detailReal-word experience with mepolizumab: Does it deliver what it has promised?
SCHLEICH, FLorence ULiege; Graff, Sophie ULiege; Nekoee Zahraei, Halehsadat ULiege et al

in Clinical and Experimental Allergy (2020)

Background: Randomized control trials performed in selected populations of severe eosinophilic asthmatics have shown that mepolizumab, an anti-IL5 therapy, was able to reduce exacerbations and OCS ... [more ▼]

Background: Randomized control trials performed in selected populations of severe eosinophilic asthmatics have shown that mepolizumab, an anti-IL5 therapy, was able to reduce exacerbations and OCS maintenance dose and in some studies, to improve asthma control and lung function. Objective: The aim of this study was to confirm the results of the RCTs in real-life in a population of 116 severe eosinophilic asthmatics treated with mepolizumab and who were followed up at the asthma clinic every month for at least 18 months. Severe asthmatics underwent FENO, lung function, asthma control and quality of life questionnaires, sputum induction and gave a blood sample at baseline, after 6 months and then every year. Results: We found a significant reduction in exacerbations by 85% after 6 months (P <.0001), which was maintained over time. We also found a significant and maintained reduction by 50% in the dose of oral corticosteroids (P <.001). Patients improved their ACT (+5.31pts, p<0.0001) ACQ (-1.13pts, P <.0001) and their AQLQ score (+1.24, P <.0001) at 6 months and this was maintained during follow-up. Only 37% reached asthma control (ACQ <1.5, ACT> 20). We observed a progressive increase in post-BD FEV1 that reached significance after 18 months (190ml or 11%, P <.01). Patients improving their FEV1had higher baseline sputum eosinophils than those not improving airway caliber. We found a significant reduction in sputum eosinophil counts by 60% after 6 months (P <.01) and a maintained reduction in blood eosinophil counts by 98% (P <.0001). Conclusion: In our real-life study, we confirm the results published in the RCTs showing a sharp reduction in exacerbation and oral corticosteroids dose and an improvement in asthma control and quality of life. Clinical relevance: Mepolizumab is efficient in severe eosinophilic asthma in real life. © 2020 John Wiley & Sons Ltd [less ▲]

Detailed reference viewed: 26 (4 ULiège)
See detailComprehensive Clustering Analysis for Incomplete COPD Dataset
Nekoee Zahraei, Halehsadat ULiege; LOUIS, Renaud ULiege; Donneau, Anne-Françoise ULiege

Scientific conference (2019, December 03)

Introduction : Chronic obstructive pulmonary disease (COPD) is a complex, multidimensional and heterogeneous disease. In the past years, application of classification methods in COPD context has been ... [more ▼]

Introduction : Chronic obstructive pulmonary disease (COPD) is a complex, multidimensional and heterogeneous disease. In the past years, application of classification methods in COPD context has been developed based on clinical observation with a limited number of variables on incomplete dataset with missing values. In such studies, selection of variables included in the analysis and dealing with missing data have a high effect on results. The main purpose of this study is to identify clinical phenotypes among adults. In this study, missing data and dimension-reduction, which are present in any large dataset of observational data, were handled. Méthodologie : In this application, 178 patients were described by 86 mixed and huge sets of variables. A common occurrence in clinical study is missing value. In various literature, we can find many methods to deal with missing value. Among several methods for imputing missing values, multiple imputation is widely used to handle missing data. A very limited number of studies combining these two important issues, cluster analysis and multiple imputation. Therefore, in this study, difficulties of multiple imputing missing values in cluster analysis is characterized and in final step, patients are classified into homogeneous distinct groups. After imputation step, the methodology of HCPC (Hierarchical Clustering on Principal Components) is used. Factor analysis of mixed data (FAMD) is applied for reducing the complexity of huge dimensional data. After this step, hierarchical clustering is performed using Ward's criterion on the selected principal components. In the final step, consensus clustering is used to assign each individual to cluster. All statistical analyses were performed using R software. Résultats : Three different phenotypes were defined in COPD. These clusters were identified as: phenotype 1 included women with moderate COPD and mild atopic traits (n=65). phenotype 2 comprised severe men with exacerbation-prone, bacterial colonization/neutrophilic and systemic inflammation (n=52) and phenotype 3 included men moderate COPD with emphysema (n=61). Conclusions : In the past years, classification methods in COPD have been applied based on ignoring missing values with limited or selected number of variables. In this study, these two issues are solved. Then, with advanced statistical methods, patients are divided into three distinct clusters. These clinically meaningful clusters of patients with common characteristics can be used to predict outcomes of patients with COPD, to aid in development of personalized therapy. [less ▲]

Detailed reference viewed: 69 (6 ULiège)
Full Text
Peer Reviewed
See detailEmergency Department Crowding: why do patients walk-in?
BRASSEUR, Edmond ULiege; GILBERT, Allison ULiege; Servotte, Jean-Christophe ULiege et al

in Acta Clinica Belgica (2019)

Detailed reference viewed: 53 (2 ULiège)
Full Text
Peer Reviewed
See detailChromametric assessment of drug skin tolerance: A comparative study between Africans and Caucasians skins
Sounouvou, Axel Gérald Hope Tognidé ULiege; Lechanteur, Anna ULiege; Quetin-Leclercq, Joëlle et al

in Skin Research and Technology (2019)

Background/Aims: During dermatological forms development, one of the simplest non-invasive techniques used to evaluate cutaneous tolerance of formulations is to monitor the color changes using a ... [more ▼]

Background/Aims: During dermatological forms development, one of the simplest non-invasive techniques used to evaluate cutaneous tolerance of formulations is to monitor the color changes using a tristimulus chromameter. Most published tolerance studies involving chromametric measurements are performed on Caucasian subjects. However, in the context of drug formulation for African-type populations, it is not always relevant to transpose tolerance results obtained on Caucasians populations to African-type ones due to histological ethnic differences of the skin. The goal of this work was to assess whether tristimulus chromameter can be used to highlight color variations following the application of dermatological topics on black skin in order to validate skin tolerance studies made on African-type subjects. Materials and Methods: After application of two commercial creams with opposite side effects (skin irritation and skin blanching) in both Africans and Caucasians populations, color variations were evaluated using a tristimulus chromameter in L*a*b* color system and compared between both populations. L* indicating color brightness, a* represents green and red directions and b* represents blue and yellow directions. Results: While skin irritation resulted in a significant increase of a* parameter in both studied populations, the skin blanching resulted in a decrease of a* associated with an increase of L*. Conclusion: We established that tristimulus chromameter can be used to achieve in vivo skin tolerance study of dermatologic formulations in Africans despite their dark skin even though it appeared less sensitive. This study can speed up the development of dermatological forms dedicated to Africans and/or Caucasians subjects. [less ▲]

Detailed reference viewed: 38 (8 ULiège)
See detailClustering Algorithm in Presence of Missing Data
Nekoee Zahraei, Halehsadat ULiege; LOUIS, Renaud ULiege; Donneau, Anne-Françoise ULiege

Scientific conference (2019, October 16)

Introduction Clustering analysis is the well-known method for exploring similarity between patients. Recently, in Chronic obstructive pulmonary disease (COPD), attempts have been made to identify ... [more ▼]

Introduction Clustering analysis is the well-known method for exploring similarity between patients. Recently, in Chronic obstructive pulmonary disease (COPD), attempts have been made to identify homogeneous phenotypes for COPD. A primary and unavoidable problem in such clinical research is missing data. There exist several methods to deal with missing data problem. Multiple imputation (MI) is widely used for handling missing data and is supported by many statistical packages. However, finding the best clustering after application of multiple imputation is a difficult problem. Objective In this study, we propose a procedure for clustering on huge dataset with missing values. The main focus of this project is to introduce a new practical algorithm to derive a single clustering solution for dataset in which missing values were imputed multiple times. Method The first step of this algorithm consists in applying a multiple imputation technique. COPD is a multi-dimensional disease with large number of discrete and continuous variables. Therefore, factor analysis of mixed data (FAMD) was used for reducing the complexity of high-dimensional data. In the next step, several methods (k-means, hierarchical and model-based) were applied to cluster imputed datasets. Combine multiple clustering results into a single solution is an important and statistical challenge. Our proposal for pooling the clustering results derived from each imputed dataset was based on maximum likelihood of multivariate multinomial mixture model based on EM algorithm. The obtained results were then compared to other methods (i.e. majority vote and fuzzy k-means). The main difficulty in this procedure was that the cluster analysis involved many technical decisions, therefore, various algorithms can be defined and compared. Results Simulation studies were conducted to illustrate the usefulness of our methodology against commonly used alternative models. Also, the practicality was investigated by analysing data from the Pneumology Department of the University hospital of Liege, which aimed to identify clinical phenotypes among adults suffering from COPD. Conclusions In conclusion, our proposed procedure is very practical and flexible to allow the user to compare several methods in clustering and merging step. [less ▲]

Detailed reference viewed: 59 (2 ULiège)