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In contrast, in both analyses each standard deviation increase in BMI, corresponding to roughly 5 kg/m2 units, confers a 30% increase in MS risk. Conclusion Despite observational studies repeatedly reporting an association between smoking and increased risk for MS, MR analyses on smoking phenotypes and MS risk could not confirm a causal relationship. This is in contrast with BMI, where observational studies and MR agree on a causal contribution. The reasons for the discrepancy between observational studies and our MR study concerning smoking and MS require further investigation.Background Multiple sclerosis (MS) notably affects adults of working age. For persons with MS (PwMS), being employed enhances their quality of life and it may be regarded as an indicator of overall functioning. Thus, ensuring work participation in PwMS is of general public health interest. Objective To examine relevant socio-demographic, MS-, health- and work-related factors, including psychosocial working conditions, associated with currently working PwMS in Switzerland and their expected work retention. Methods Using cross-sectional data of PwMS in the Swiss MS Registry (n = 541, median age = 48 [IQR 40;55]), multivariable logistic regression models were computed. First, currently working PwMS were characterised in comparison with those not currently working. Second, expected work retention, operationalized as subjective judgement "likely to work in the same job in 2 years", was examined within the group of currently working PwMS. Results The factors age (OR 0.96, 95% CI 0.92-0.99), sex (OR 0.28, 95% CI 0.13-0.60), highest achieved job position (OR 1.21, 95% CI 1.01-1.46), health-related quality of life (HRQoL) (OR 1.02, 95% CI 1.01-1.04) and the number of MS symptoms (OR 0.90, 95% CI 0.82-0.98) were associated with currently working PwMS. Moreover, HRQoL (OR 1.07, 95% CI 1.04-1.10) and psychosocial working conditions, such as job resources (e.g. autonomy, control or social support) (OR 2.83, 95% CI 1.50-5.33) and job demands (e.g. workload, time pressure) (OR 0.41, 95% CI 0.18-0.90) were important factors for expected work retention among this group. Conclusions Resourceful psychosocial working conditions are crucial for PwMS to maintain employment. Employers could contribute to work retention among PwMS by creating a work environment with resourceful psychosocial working conditions and providing, for instance, social support.Background Cerebrovascular and coronary artery disease share risk factors. selleck compound The aim was to study CHA2DS2-VASc score as predictor of stroke incidence and death in a sample of patients with sinus rhythm and stable ischemic heart disease (sIHD) during long-term follow-up. Methods 1184 patients with sIHD and without atrial fibrillation were included in this single-centre prospective cohort study between February 2000 and January 2004. Stroke and death prediction abilities of CHA2DS2-VASc score in this population were investigated. Results The median age was 66 (interquartile range (IQR), 60-73 years). The mean follow-up was 11.2 ± 10 years (maximum 17 years). Along this period, 137 patients (11.6% of the sample) suffered a stroke. The mean value of CHA2DS2-VASc score was 3.04 ± 1.36, with CHA2DS2-VASc score ≤ 4 in 85.5% of the sample. Higher CHA2DS2-VASc score at baseline was associated with higher risk of suffering stroke (Hazard Ratio = 1.36, 95% CI 1.20-1.54, p less then 0,001) and all-cause death during follow-up (Hazard Ratio = 1.49, 95% CI 1.40-1.58, p less then 0,001). Conclusions Higher CHA2DS2-VASc score values were associated with higher risk of stroke and all-cause mortality during long-term follow-up in this real-world sample of patients with sIHD in sinus rhythm.Background Diagnostic classification of central vs. peripheral etiologies in acute vestibular disorders remains a challenge in the emergency setting. Novel machine-learning methods may help to support diagnostic decisions. In the current study, we tested the performance of standard and machine-learning approaches in the classification of consecutive patients with acute central or peripheral vestibular disorders. Methods 40 Patients with vestibular stroke (19 with and 21 without acute vestibular syndrome (AVS), defined by the presence of spontaneous nystagmus) and 68 patients with peripheral AVS due to vestibular neuritis were recruited in the emergency department, in the context of the prospective EMVERT trial (EMergency VERTigo). All patients received a standardized neuro-otological examination including videooculography and posturography in the acute symptomatic stage and an MRI within 7 days after symptom onset. Diagnostic performance of state-of-the-art scores, such as HINTS (Head Impulse, gaze-evoked Nysclinical viewpoint. Established non-linear machine-learning methods like RF and linear methods like LR are less powerful classification models (AUC 0.89 vs. 0.62). Conclusions Established clinical scores (such as HINTS) provide a valuable baseline assessment for stroke detection in acute vestibular syndromes. In addition, machine-learning methods may have the potential to increase sensitivity and selectivity in the establishment of a correct diagnosis.Strong static magnetic fields, as used in magnetic resonance imaging (MRI), stimulate the vestibular inner ear leading to a state of imbalance within the vestibular system that causes nystagmus. This magnetic vestibular stimulation (MVS) also modulates fluctuations of resting-state functional MRI (RS-fMRI) networks. MVS can be explained by a Lorentz force model, indicating that MVS is the result of the interaction of the static magnetic field strength and direction (called "B0 magnetic field" in MRI) with the inner ear's continuous endolymphatic ionic current. However, the high variability between subjects receiving MVS (measured as nystagmus slow-phase velocity and RS-fMRI amplitude modulations) despite matching head position, remains to be explained. Furthermore, within the imaging community, an "easy-to-acquire-and-use" proxy accounting for modulatory MVS effects in RS-fMRI fluctuations is needed. The present study uses MRI data of 60 healthy volunteers to examine the relationship between RS-fMRI fluctuations and the individual orientation of inner-ear anatomy within the static magnetic field of the MRI.
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