Preoperative Delirium Risk Screening in Patients Undergoing a Cardiac Surgery: Results from the Prospective Observational FINDERI Study.

OBJECTIVE: Postoperative delirium (POD) is a common complication of cardiac surgery that is associated with higher morbidity, longer hospital stay, cognitive decline, and mortality. Preoperative assessments may help to identify patients´ POD risk. However, a standardized screening assessment for POD risk has not been established. DESIGN: Prospective observational FINd DElirium RIsk factors (FINDERI) study. PARTICIPANTS: Patients aged ≥50 years undergoing cardiac surgery. MEASUREMENTS: The primary aim was to analyze the predictive value of the Delirium Risk Screening Questionnaire (DRSQ) prior to cardiac surgery. Secondary aims are to investigate cognitive, frailty, and geriatric assessments, and to use data-driven machine learning (ML) in predicting POD. Predictive properties were assessed using receiver operating characteristics analysis and multivariate approaches (regularized LASSO regression and decision trees). RESULTS: We analyzed a data set of 504 patients (68.3 ± 8.2 years, 21.4% women) who underwent cardiac surgery. The incidence of POD was 21%. The preoperatively administered DRSQ showed an area under the curve (AUC) of 0.68 (95% CI 0.62, 0.73), and the predictive OR was 1.25 (95% CI 1.15, 1.35, p <0.001). Using a ML approach, a three-rule decision tree prediction model including DRSQ (score>7), Trail Making Test B (time>118), and Montreal Cognitive Assessment (score ≤ 22) was identified. The AUC of the three-rule decision tree on the training set was 0.69 (95% CI 0.63, 0.75) and 0.62 (95% CI 0.51, 0.73) on the validation set. CONCLUSION: Both the DRSQ and the three-rule decision tree might be helpful in predicting POD risk before cardiac surgery.

The impact of orthodontic-surgical treatment on facial expressions-a four-dimensional clinical trial.

OBJECTIVE: The objective of this clinical trial was to compare facial expressions (magnitude, shape change, time, and symmetry) before (T0) and after (T1) orthognathic surgery by implementing a novel method of four-dimensional (4D) motion capture analysis, known as videostereophotogrammetry, in orthodontics. METHODS: This prospective, single-centre, single-arm trial included a total of 26 adult patients (mean age 28.4 years; skeletal class II: n = 13, skeletal class III: n = 13) with indication for orthodontic-surgical treatment. Two reproducible facial expressions (maximum smile, lip purse) were captured at T0 and T1 by videostereophotogrammetry as 4D face scan. The magnitude, shape change, symmetry, and time of the facial movements were analysed. The motion changes were analysed in dependence of skeletal class and surgical movements. RESULTS: 4D motion capture analysis was feasible in all cases. The magnitude of the expression maximum smile increased from 15.24 to 17.27 mm (p = 0.002), while that of the expression lip purse decreased from 9.34 to 8.31 mm (p = 0.01). Shape change, symmetry, and time of the facial movements did not differ significantly pre- and postsurgical. The changes in facial movements following orthodontic-surgical treatment were observed independently of skeletal class and surgical movements. CONCLUSIONS: Orthodontic-surgical treatment not only affects static soft tissue but also soft tissue dynamics while smiling or lip pursing. CLINICAL RELEVANCE: To achieve comprehensive orthodontic treatment plans, the integration of facial dynamics via videostereophotogrammetry provides a promising approach in diagnostics. TRIAL REGISTRATION NUMBER: DRKS00017206.

Association of health behaviour and clinical manifestation in early multiple sclerosis in Germany - Baseline characteristics of the POWER@MS1 randomised controlled trial.

BACKGROUND: Receiving a multiple sclerosis (MS) diagnosis is a significant stressor. Therefore, highly individualised counselling is needed, especially in early MS. Modifiable risk factors (e.g. smoking and obesity) are gaining relevance in MS. Despite evidence for worse MS-related health outcomes, prevalence of adverse health behaviours, such as smoking and physical inactivity, is high across all MS stages. However, knowledge regarding health behaviours as well as their association with MS-related health outcomes among newly diagnosed PwMS in Germany is scarce. Currently, the efficacy of an interactive digital lifestyle management application intended to be used as an add-on to standard care among newly diagnosed PwMS in Germany is evaluated in an ongoing multicentre randomised controlled trial (RCT) ('POWER@MS1'). OBJECTIVES: To describe baseline disease characteristics and health behaviours of the POWER@MS1 cohort and investigate associations between MS characteristics, quality of life (QOL), health behaviours and intention to optimise health behaviour habits. METHODS: This study included 234 persons with early MS from 20 study centres located across Germany who participate in the POWER@MS1 RCT. Participants were recruited by treating neurologists from different regions and health-care settings in Germany. Baseline data was obtained using paper-based questionnaires and a web-based healthy diet screener between July 2019 and end of March 2022 and analysed descriptively. RESULTS: In this early MS cohort (mean disease duration 4 months), a screening tool showed severe symptoms of anxiety in 15 % of the participants. Better means for stress management appeared to be particularly relevant for the whole cohort. Moreover, 19 % were current smokers, 15 % were obese and 36 % were insufficiently physically active. On average, participants only moderately adhered to dietary guidelines for recommended intake of key food groups (e.g. vegetables, fruits and fatty marine fish). Higher EDSS scores were associated with approximately 20 % higher T2-lesion burden (rate ratio RR=1.2, p<0.001) and 13 % higher relapse rate (RR=1.13,p=0.02) per EDSS disability level. Moreover, a higher T2-lesion burden was associated with current smoking (RR=0.76, p=0.033), resulting in approximately 24 % less T2-lesions at disease onset among non-smokers. In addition, smoking was associated with unhealthier dietary habits according to lower diet scores (linear regression coefficient ß=-1.27, p<0.001). Higher EDSS scores (ß=0.19,p<0.001) and higher BMI (ß=0.013,p=0.03) were associated with higher HAQUAMS (lower QOL). Further, lower diet scores (ß=-0.044,p=0.039) were associated with lower QOL. Moreover, higher HAQUAMS (lower QOL) indicated a higher intention to optimise stress management (ß=0.98,p<0.001), physical activity (ß=0.74,p=0.046) and sleep behaviour (ß=1.82,p<0.001). Further, higher intention to optimise stress management was accounted for by higher EDSS scores (ß=0.39,p=0.004) and a higher number of T2-lesions (ß=0.029,p=0.015) in this newly diagnosed MS cohort. CONCLUSION: Results indicate a clear need for modifications of health behaviours among newly diagnosed PwMS participating in POWER@MS1. Individualised psychological and health behaviour counselling appears to be an important factor in treatment, also for similar early MS cohorts and particularly in those who demonstrate a more severe disease in clinical and MRI metrics.