Interest of the Leicester Cough Questionnaire in predicting postoperatives complications after lung resection: LCQ-SURGE.

Background: Postoperative complications may occur after major lung surgery for non-small cell lung cancer (NSCLC), with a high rate of morbidity and mortality. The main objective of this study was to assess the relevance of preoperative Leicester Cough Questionnaire (LCQ) to predict postoperative complications after major lung resection for any indication. Methods: This was a retrospective cohort study conducted in the Thoracic Surgery Department of Rouen University Hospital from November 21st, 2022, to June 2nd, 2023. Patients aged ≥18 years who underwent major lung resection for any indications and filled an LCQ self-questionnaire were included. Results: Seventy-one patients were eligible for our study. One patient was lost to follow-up upon hospital discharge. Nineteen (27.1%) postoperative complications of grade ≥2 according to the Clavien-Dindo classification were observed. The mean LCQ total score was 18.11±2.56. The area under the receiver operating characteristic (ROC) curve for the LCQ result to predict postoperative complications of grade ≥2 within 30 days following the surgical intervention was 0.60 [95% confidence interval (CI): 0.45, 0.75]. Conclusions: This study failed to demonstrate the relevance of a preoperative LCQ to predict postoperative complications after major lung surgery. However, the statistical precision of this study was insufficient to show a moderate predictive performance. Further studies conducted in larger populations are needed.

Impact of the Covid-19 pandemic and lockdowns on the education and mental health of physiotherapy students in France: a descriptive cross-sectional study with national online survey.

OBJECTIVE: To determine the impact of the SARS-CoV-2 (COVID-19) pandemic and lockdowns on the mental health status, training, perceptions of the physiotherapy profession, and career plans of French physiotherapy students. DESIGN: A descriptive cross-sectional study was conducted, representing the first and only survey of its kind, using a national online survey. SUBJECTS: A total of 2678 French physiotherapy students participated in the study. METHODS: Mental health status was assessed using the validated French versions of established depression, anxiety, and insomnia scales. RESULTS: The survey revealed that female sex, age below 21 years, living alone, and having a psychiatric history or COVID-19 risk factors were associated with more severe symptoms of depression, anxiety, and insomnia in the surveyed students. In addition, stress, anxiety, and depression induced by the COVID-19 crisis were linked to apprehension about continuing practical training in physiotherapy. These factors also affected students' perceptions of the profession and the initially envisioned mode of practice, particularly among fifth-year students (odds ratio (OR) = 2.25, 95% confidence interval (95% CI) = (1.69, 2.99), p < 0.001). Notably, the pandemic significantly reduced the desire of these students to pursue a career as physiotherapists (adjusted OR (aOR) 1.41 (1.06, 1.86)). CONCLUSION: French physiotherapy students, especially those in their fifth year, have experienced significant impacts from the COVID-19 pandemic, affecting their mental health, education, perceptions of the physiotherapy profession, and career plans.

Pedagogical impact of integration of musculoskeletal anatomy blended learning on physiotherapy education.

Background: In physiotherapy education, blended learning is recognized to be more effective compared to traditional teaching. The aim of this study was to assess the consequences of a musculoskeletal anatomy blended learning program on skills developed by students. Methods: We conducted an observational retrospective monocentric study in a French physiotherapy school named "X." Ninety-two first-year students in the 2017-18 baseline group (students with traditional face-to-face learning), and ninety-eight first-year students and ninety-five second-year students in the 2018-19 and 2019-20 blended learning experimental groups was included. A success rate of the anatomy final written exam, defined by the percentage of students scoring 50% or above, was analyzed between 2017 and 2020. We also evaluated the pedagogical value of musculoskeletal e-learning and its usefulness for preparing the student for their anatomy final written exam at «X¼. Results: We observed an improvement in the success rate of the anatomy final written exam between the 2017-18 baseline group, 2018-19 and 2019-2020 experimental groups during first (Kruskal-Wallis = 74.06, df = 2, p < 0.001) and second semester (Kruskal-Wallis = 173.6, df = 2, p < 0.001). We obtained a data survey and questionnaire response rate of 74% (n = 89/120) for the 2018-19 and 62% (n = 72/116) for the 2019-20 experimental groups. Concerning questionnaire response, they were no significant statistical difference between 2018-19 and 2019-20 experimental groups. Conclusion: Blended learning could improve student success rate of the anatomy final written exam and learning of professional physiotherapy skills.

Description of the abilities of physiotherapists in terms of diagnostic hypothesis and management decision for self-referred patients with musculoskeletal disorders in France using clinical vignettes: A cross-sectional survey.

BACKGROUND: Direct access to physiotherapy has been introduced in several countries. In France, the healthcare system is evolving towards its introduction; however, no study has described the ability of physiotherapists in this context. OBJECTIVE: To describe the ability of physiotherapists practicing in France to formulate correct diagnostic hypotheses and make appropriate management decisions using clinical vignettes. METHODS: Pre-existing validated clinical vignettes were used and integrated into a numerical questionnaire. The percentages of correct answers were calculated from the results concerning the choice of diagnostic hypothesis and the management decision, both overall and for the three different patient categories: musculoskeletal, non-critical medical, and critical medical. RESULTS: Four hundred eighty-two participants (1.7%) responded to the study. For the formulation of a diagnostic hypothesis, there were 43.0% (415/964), 26.6% (128/482), and 17.8% (86/482) correct answers respectively for the musculoskeletal, non-critical medical, and critical medical categories. For management decisions, there were 60.8% (586/964), 61.6% (297/482), and 85.1% (410/482) correct answers respectively for the same categories. CONCLUSIONS: Our results related to the management decision were better than those for the diagnostic hypothesis, especially for the critical medical category. There is still room for improvement. It might be interesting to support this initial study by using more clinical vignettes validated in a French context.

Work-Related, Non-Specific Low Back Pain among Physiotherapists in France: Prevalence and Biomechanical and Psychosocial Risk Factors, as a Function of Practice Pattern.

BACKGROUND: Physiotherapists worldwide experience lower back pain (LBP). Up to 80% of physiotherapists report having experienced an episode of LBP at some point in their career, and LBP is the most common musculoskeletal disorder in this profession. In France, the prevalence of LBP among physiotherapists and associated work-related risk factors have not previously been studied. OBJECTIVE: To determine whether the risk of work-related non-specific LBP among French physiotherapists depends on practice pattern. METHOD: A link to an online self-questionnaire was sent to French physiotherapists. The various practice patterns were compared with regard to the prevalence of LBP, the total number of days with LBP during the previous 12 months, and the degree of exposure to biomechanical, psychosocial and organisational risk factors. RESULTS: Among the 604 physiotherapists included in the study, the prevalence of work-related, non-specific LBP in the previous 12 months was 40.4%. The prevalence was significantly greater among physiotherapists working in geriatrics (p = 0.033) and significantly lower in sports medicine (p = 0.010). Differences in exposure to risk factors were also found. CONCLUSIONS: The risk of non-specific LBP among French physiotherapists appears to depend on the mode of practice. All the various dimensions of risk must be taken into account. The present study could serve as a basis for more targeted research on the most exposed practices.

Quantified analysis of facial movement: A reference for clinical applications.

Most techniques for evaluating unilateral impairments in facial movement yield subjective measurements. The objective of the present study was to define a reference dataset and develop a visualization tool for clinical assessments. In this prospective study, a motion capture system was used to quantify facial movements in 30 healthy adults and 2 patients. We analyzed the displacements of 105 reflective markers placed on the participant's face during five movements (M1-M5). For each marker, the primary endpoint was the maximum amplitude of displacement from the static position (M0) in an analysis of variance. The measurement precision was 0.1 mm. Significant displacements of markers were identified for M1-M5, and displacement patterns were defined. The patients and age-matched healthy participants were compared with regard to the amplitude of displacement. We created a new type of radar plot to visually represent the diagnosis and facilitate effective communication between medical professionals. In proof-of-concept experiments, we collected quantitative data on patients with facial palsy and created a patient-specific radar plot. Our new protocol for clinical facial motion capture ("quantified analysis of facial movement," QAFM) was accurate and should thus facilitate the long-term clinical follow-up of patients with facial palsy. To take account of the limitations affecting the comparison with the healthy side, we created a dataset of healthy facial movements; our method might therefore be applicable to other conditions in which movements on one or both sides of the face are impaired. The patient-specific radar plot enables clinicians to read and understand the results rapidly.

DeepSmile: Anomaly Detection Software for Facial Movement Assessment.

Facial movements are crucial for human interaction because they provide relevant information on verbal and non-verbal communication and social interactions. From a clinical point of view, the analysis of facial movements is important for diagnosis, follow-up, drug therapy, and surgical treatment. Current methods of assessing facial palsy are either (i) objective but inaccurate, (ii) subjective and, thus, depending on the clinician's level of experience, or (iii) based on static data. To address the aforementioned problems, we implemented a deep learning algorithm to assess facial movements during smiling. Such a model was trained on a dataset that contains healthy smiles only following an anomaly detection strategy. Generally speaking, the degree of anomaly is computed by comparing the model's suggested healthy smile with the person's actual smile. The experimentation showed that the model successfully computed a high degree of anomaly when assessing the patients' smiles. Furthermore, a graphical user interface was developed to test its practical usage in a clinical routine. In conclusion, we present a deep learning model, implemented on open-source software, designed to help clinicians to assess facial movements.

Optimal marker set assessment for motion capture of 3D mimic facial movements.

Nowadays, facial mimicry studies have acquired a great importance in the clinical domain and 3D motion capture systems are becoming valid tools for analysing facial muscles movements, thanks to the remarkable developments achieved in the 1990s. However, the face analysis domain suffers from a lack of valid motion capture protocol, due to the complexity of the human face. Indeed, a framework for defining the optimal marker set layout does not exist yet and, up to date, researchers still use their traditional facial point sets with manually allocated markers. Therefore, the study proposes an automatic approach to compute a minimum optimized marker layout to be exploited in facial motion capture, able to simplify the marker allocation without decreasing the significance level. Specifically, the algorithm identifies the optimal facial marker layouts selecting the subsets of linear distances among markers that allow to automatically recognizing with the highest performances, through a k-nearest neighbours classification technique, the acted facial movements. The marker layouts are extracted from them. Various validation and testing phases have demonstrated the accuracy, robustness and usefulness of the custom approach.