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420 result(s) for "Lefebvre, Francois"
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Pictorial adaptation of the quality of recovery 15 scale and psychometric validation into a pediatric surgical population
Patient reported outcomes measures (PROMS) are important endpoints to measure patient health status in the perioperative setting. However, there are no good tools to measure PROMS in the pediatric surgical population. Patients 7 to 17 years old undergoing surgery were included and followed up for 1 day after surgery (POD1). At POD1 the patients were asked to rate their overall postoperative recovery using a 100-mm visual analog scale (VAS). The primary outcome was the pediatric QoR-15 score on postoperative day 1 (POD1). 150 patients completed the study. The mean (SD) pediatric QoR-15F scores were 132.1 (14.1) and 111.0 (27.0), preoperatively and on POD1, respectively. Convergent validity confirmed with Pearson (r) correlation between the postoperative pediatric QoR-15F and the patient-rated global recovery assessment was 0.72 (95% confidence interval [0.63–0.79]; p < 10 –16 ). Concerning reliability, internal consistency of the pediatric QoR-15 assessed by Cronbach’s alpha was 0.90. The test–retest concordance correlation coefficient was 0.92; 95% CI [0.83–0.96]. Split-half alpha was 0.74. The pictorial pediatric version of the QoR-15F showed good validity, reliability, responsiveness, acceptability and feasibility. This PROMS should be considered for clinical care and research in the perioperative pediatric patient setting. Trial Registration: NCT04453410 on clinicaltrials.gov.
Efficacy of virtual reality hypnosis versus conscious sedation with nitrous oxide in the management of dental anxiety in pediatric dentistry: protocol for a prospective randomized controlled trial
Background Dental anxiety is defined as a persistent and excessive fear of dental treatment. It often leads to interruptions during procedures and, frequently, avoidance of dental care. For patients over the age of 7, nitrous oxide-oxygen inhaled sedation (NOIS) represents one of the most effective and well-established pharmacological approaches to reducing anxiety and pain during dental treatment. Meanwhile, medical hypnosis offers an interesting non-pharmacological alternative by inducing a hypnotic state, potentially serving as a means of sedation to alleviate anxiety or pain. The advancement of virtual reality (VR) technology makes medical hypnosis more accessible to dental practitioners, yielding promising outcomes. To our knowledge, no clinical trial has evaluated the efficacy of medical hypnosis associated with 3D immersive virtual reality devices for pediatric dental procedures. Methods This prospective, controlled, single-blind clinical study including anxious patients aged 7 to 10 years old aims to demonstrate non-inferiority of virtual reality approach. Using a split-mouth design, each patient will attend two separate visits for two comparable conservative dental procedures. At the first procedure, they will randomly be assigned to receive either hypnosis via VR or NOIS. The alternative method will be administered during the second visit. The primary outcome is the sedation success based on the completion of the dental procedure. A score of 3 or higher on the Modified Venham Scale noted more than twice ends the session and qualifies as a sedation failure. The secondary outcomes involve assessing children’s tolerance and the temperament influence on sedation success. Discussion This study will evaluate the efficacy of a novel non-pharmacological sedation for the management of anxious children in a dental setting. The results may help practitioners choose the appropriate anxiolytic therapeutic option, based on different psychometric and temperament parameters. Trial registration ClinicalTrials.gov NCT05167331. Registered on December 22, 2021.
Effectors involved in fungal–fungal interaction lead to a rare phenomenon of hyperbiotrophy in the tritrophic system biocontrol agent–powdery mildew–plant
Tritrophic interactions involving a biocontrol agent, a pathogen and a plant have been analyzed predominantly from the perspective of the biocontrol agent. We have conducted the first comprehensive transcriptomic analysis of all three organisms in an effort to understand the elusive properties of Pseudozyma flocculosa in the context of its biocontrol activity against Blumeria graminis f.sp. hordei as it parasitizes Hordeum vulgare. After inoculation of P. flocculosa, the tripartite interaction was monitored over time and samples collected for scanning electron microscopy and RNA sequencing. Based on our observations, P. flocculosa indirectly parasitizes barley, albeit transiently, by diverting nutrients extracted by B. graminis from barley leaves through a process involving unique effectors. This brings novel evidence that such molecules can also influence fungal–fungal interactions. Their release is synchronized with a higher expression of powdery mildew haustorial effectors, a sharp decline in the photosynthetic machinery of barley and a developmental peak in P. flocculosa. The interaction culminates with a collapse of B. graminis haustoria, thereby stopping P. flocculosa growth, as barley plants show higher metabolic activity. To conclude, our study has uncovered a complex and intricate phenomenon, described here as hyperbiotrophy, only achievable through the conjugated action of the three protagonists.
Critically ill elderly patients (≥ 90 years): Clinical characteristics, outcome and financial implications
Patients aged over 90 are being admitted to intensive care units (ICUs) with increasing frequency. The appropriateness of such decisions still remains controversial due to questionable outcome, limited resources and costs. Our objective was to determine the clinical characteristics and outcome in elderly patients (≥ 90 years) admitted in a medical ICU, with an additional focus on medico-economic implications. We reviewed the charts of all patients (≥ 90 years) admitted to our ICU. We compared them with all other ICU patients (< 90 years), sought to identify ICU mortality predictors and also performed a long-term survival follow-up. In the study group of 317 stays: median age was 92 years (IQR: 91-94 years); most patients were female (71.3%.). Acute respiratory failure (52.4%) was the main admission diagnosis; mean SAPS II was 55.6±21.3; half the stays (49.2%) required mechanical ventilation (duration: 7.2±8.8 days); withholding and withdrawing decisions were made for 33.4% of all stays. ICU and hospital mortality rates were 35.7% and 42.6% respectively. Mechanical ventilation (OR = 4.83, CI95%: 1.59-15.82) was an independent predictor of ICU mortality whereas age was not (OR = 0.88, CI95%: 0.72-1.08). Social security reimbursement was significantly lower in the study group compared with all other ICU stays, both per stay (13,160 vs 22,092 Euros, p< 0.01) and per day of stay (p = 0.03). Among critically ill elderly patients (≥ 90 years), chronological age was not an independent factor of ICU mortality. ICU care-related costs in this population should not be considered as a limiting factor for ICU admission.
Early glucose abnormalities revealed by continuous glucose monitoring associate with lung function decline in cystic fibrosis: A five-year prospective study
Cystic fibrosis related diabetes (CFRD) is commonly associated with declining lung function and nutritional status. We aimed to evaluate the pulmonary impact of early glucose abnormalities by using 2-h standard oral glucose tolerance testing (OGTT) and continuous glucose monitoring (CGM) in people with cystic fibrosis (PwCF). PwCF aged ≥10 years old without known CFRD were included in a five-year prospective multicentre study. Annual evaluation of nutritional status, lung function, OGTT and CGM was set up. Associations between annual rate changes (Δ) in lung function, ΔFEV1 (forced expiratory volume in 1 s) percentage predicted (pp) and ΔFVC (forced vital capacity) pp., and annual rate changes in OGTT or CGM variables were estimated with a mixed model with a random effect for subject. From 2009 to 2016, 112 PwCF (age: 21 ± 11 years, BMI (body mass index) z-score: −0.55 ± 1.09, FEV1pp: 77 ± 24 %, 2-h OGTT glucose: 122 ± 44 mg/dL, AUC (area under curve) >140 mg/dL: 1 mg/dL/day (0.2, 3.0) were included. A total of 428 OGTTs and 480 CGMs were collected. The participants presented annual decline of FVCpp and FEV1pp at −1.0 % per year (−1.6, −0.4), p < 0.001 and − 1.9 % per year (−2.5, −1.3), p < 0.001 respectively without change in BMI z-score during the study. Variation of two-hour OGTT glucose was not associated with declining lung function, as measured by ΔFEV1pp (p = 0.94) and ΔFVCpp (p = 0.90). Among CGM variables, only increase in AUC >140 mg/dL between two annual visits was associated with a decrease in ΔFVCpp (p < 0.05) and ΔFEV1pp (p < 0.05). This prospective study supports the fact that early glucose abnormalities revealed by CGM predict pulmonary function decline in PwCF, while 2-h standard OGTT glucose is not associated with pulmonary impairment. •Five years prospective study of glucose tolerance in 112 people with CF without diabetes.•Impact of early glucose tolerance abnormalities at OGTT and CGM on lung function.•Repeated measures with CGM over time could help to predict lung function decline
Lymphocyte-to-C-Reactive Protein (LCR) Ratio Is Not Accurate to Predict Severity and Mortality in Patients with COVID-19 Admitted to the ED
Health care systems worldwide have been battling the ongoing COVID-19 pandemic. Since the beginning of the COVID-19 pandemic, Lymphocytes and CRP have been reported as markers of interest. We chose to investigate the prognostic value of the LCR ratio as a marker of severity and mortality in COVID-19 infection. Between 1 March and 30 April 2020, we conducted a multicenter, retrospective cohort study of patients with moderate and severe coronavirus disease 19 (COVID-19), all of whom were hospitalized after being admitted to the Emergency Department (ED). We conducted our study in six major hospitals of northeast France, one of the outbreak’s epicenters in Europe. A total of 1035 patients with COVID-19 were included in our study. Around three-quarters of them (76.2%) presented a moderate form of the disease, while the remaining quarter (23.8%) presented a severe form requiring admission to the ICU. At ED admission, the median LCR was significantly lower in the group presenting severe disease compared to that with moderate disease (versus 6.24 (3.24–12) versus 12.63 ((6.05–31.67)), p < 0.001). However, LCR was neither associated with disease severity (OR: 0.99, CI 95% (0.99–1)), p = 0.476) nor mortality (OR: 0.99, CI 95% (0.99–1)). In the ED, LCR, although modest, with a threshold of 12.63, was a predictive marker for severe forms of COVID-19.
Integrated systems approach defines the antiviral pathways conferring protection by the RV144 HIV vaccine
The RV144 vaccine trial showed reduced risk of HIV-1 acquisition by 31.2%, although mechanisms that led to protection remain poorly understood. Here we identify transcriptional correlates for reduced HIV-1 acquisition after vaccination. We assess the transcriptomic profile of blood collected from 223 participants and 40 placebo recipients. Pathway-level analysis of HIV-1 negative vaccinees reveals that type I interferons that activate the IRF7 antiviral program and type II interferon-stimulated genes implicated in antigen-presentation are both associated with a reduced risk of HIV-1 acquisition. In contrast, genes upstream and downstream of NF-κB, mTORC1 and host genes required for viral infection are associated with an increased risk of HIV-1 acquisition among vaccinees and placebo recipients, defining a vaccine independent association with HIV-1 acquisition. Our transcriptomic analysis of RV144 trial samples identifies IRF7 as a mediator of protection and the activation of mTORC1 as a correlate of the risk of HIV-1 acquisition. The RV144 vaccine trial showed reduced risk of HIV-1 acquisition, but mechanisms underlying protection are poorly understood. Here, Fourati et al. assess the transcriptomic profile of blood collected from 223 vaccinees and 40 placebo recipients and identify IRF7 as a mediator of protection.
A Multi-Year, Multi-Cultivar Approach to Differential Expression Analysis of High- and Low-Protein Soybean (Glycine max)
Soybean (Glycine max (L.) Merr.) is among the most valuable crops based on its nutritious seed protein and oil. Protein quality, evaluated as the ratio of glycinin (11S) to β-conglycinin (7S), can play a role in food and feed quality. To help uncover the underlying differences between high and low protein soybean varieties, we performed differential expression analysis on high and low total protein soybean varieties and high and low 11S soybean varieties grown in four locations across Eastern and Western Canada over three years (2018–2020). Simultaneously, ten individual differential expression datasets for high vs. low total protein soybeans and ten individual differential expression datasets for high vs. low 11S soybeans were assessed, for a total of 20 datasets. The top 15 most upregulated and the 15 most downregulated genes were extracted from each differential expression dataset and cross-examination was conducted to create shortlists of the most consistently differentially expressed genes. Shortlisted genes were assessed for gene ontology to gain a global appreciation of the commonly differentially expressed genes. Genes with roles in the lipid metabolic pathway and carbohydrate metabolic pathway were differentially expressed in high total protein and high 11S soybeans in comparison to their low total protein and low 11S counterparts. Expression differences were consistent between East and West locations with the exception of one, Glyma.03G054100. These data are important for uncovering the genes and biological pathways responsible for the difference in seed protein between high and low total protein or 11S cultivars.
A strategy for optimal fitting of multiplicative and additive hazards regression models
Background In survival analysis, data can be modeled using either a multiplicative hazards regression model (such as the Cox model) or an additive hazards regression model (such as Lin’s or Aalen’s model). While several diagnostic tools are available to check the assumptions underpinning each type of model, there is no defined procedure to fit these models optimally. Moreover, the two types of models are rarely combined in survival analysis. Here, we propose a strategy for optimal fitting of multiplicative and additive hazards regression models in survival analysis. Methods This section details our proposed strategy for optimal fitting of multiplicative and additive hazards regression models, with a focus on the assumptions underpinning each type of model, the diagnostic tools used to check these assumptions, and the steps followed to fit the data. The proposed strategy draws on classical diagnostic tools (Schoenfeld and martingale residuals) and less common tools (pseudo-observations, martingale residual processes, and Arjas plots). Results The proposed strategy is applied to a dataset of patients with myocardial infarction (TRACE data frame). The effects of 5 covariates (age, sex, diabetes, ventricular fibrillation, and clinical heart failure) on the hazard of death are analyzed using multiplicative and additive hazards regression models. The proposed strategy is shown to fit the data optimally. Conclusions Survival analysis is improved by using multiplicative and additive hazards regression models together, but specific steps must be followed to fit the data optimally. By providing different measures of the same effect, our proposed strategy allows for better interpretation of the data.
Impact of Setting up an “Endocarditis Team” on the Management of Infective Endocarditis
Infective endocarditis (IE) remains a severe disease with a high mortality rate. Therefore, guidelines encourage the setup of a multidisciplinary group in reference centers. The present study evaluated the impact of this \"Endocarditis Team\" (ET). We conducted a monocentric observational study at Strasbourg University Hospital, Strasbourg, France, between 2012 and 2017. The primary end point was in-hospital mortality. Secondary end points were 6-month and 1-year mortality, surgery rate, time to surgical procedure, duration of effective antibiotic therapy, length of in-hospital stay, and sequelae. We also assessed predictors of in-hospital mortality. We analyzed 391 episodes of IE. In the post-ET period, there was a nonsignificant decrease in in-hospital mortality (20.3% vs 14.7%, respectively; = .27) and sequelae, along with a significant reduction in time to surgery (16.4 vs 10.3 days, respectively; = .049), duration of antibiotic therapy (55.2 vs 47.2 days, respectively; < .001), and length of in-hospital stay (40.6 vs 31.9 days, respectively; < .01). In a multivariate analysis, the post-ET period was positively associated with survival (odds ratio, 0.45; 95% confidence interval, 0.20-0.96; = .048). This multidisciplinary approach exerted a positive impact on the management of IE and should be considered in all hospitals managing IE.