Notes

Spatiotemporal treatments for the co-conformational transitioning in pH-responsive flavylium-based multistate pseudorotaxanes.
Lateral compression type 1 (LC1) fractures are the commonest pelvic ring injury. However, they represent a heterogenous spectrum of injury mechanisms and fracture patterns, resulting in a lack of strong evidence for a universally agreed treatment algorithm. Although consensus exists that LC1 fractures have a preserved posterior ligamentous complex and are vertically stable, controversy persists around defining internal rotational instability. As such, treatment strategies extend from routine non-operative management through to dynamic imaging such as examination under anaesthetic (EUA) or stress radiographs to guide fixation algorithm. Multiple protocols sit between these two, all with slightly different thresholds for advocating surgery or otherwise, exemplifying a broad lack of consensus that is not seen for other, more severe, grades of pelvic ring injury. In the following review we discuss the evolving concepts of pelvic ring instability and management, starting from a historical perspective, through to current trends and controversies in LC1 fracture treatment. Emerging directions for research and emerging pharmacological and surgical treatments/technologies are also considered and expert commentary from 3 leading centres provided. The distinction is made between LC1 fracture arising from high-energy trauma and those following low-energy falls from standing height (so-called fragility fractures of the pelvis-FFP), since these two patient groups have different functional requirements and medical vulnerabilities. Issues pertaining to FFP are considered separately.
The primary objective was to evaluate the association between weather variables and joint pain in patients with chronic rheumatic diseases (CRD rheumatoid arthritis (RA), osteoarthritis (OA), and spondyloarthritis (SpA)). A secondary objective was to study the impact of air pollution indicators on CRD pain.

The study is prospective, correlational, with time-series analysis. Patients with CRD, living in a predefined catchment area, filled their level of pain daily using a 0-10 numerical scale (NS), for 1 year. Weather (temperature, relative humidity (H), atmospheric pressure (P)) and air pollution indicators (particulate matters (PM
, PM
), nitrogen dioxide (NO
), and ozone (O
)) were recorded daily using monitoring systems positioned in the same area. Association between pain and weather and air pollution indicators was studied using Pearson's correlation. Time-series analysis methodology was applied to determine the temporal relationship between pain and indicators.

The study included 94 patients, lesser extent. • The influence of these environmental factors was independent of the type of rheumatic disease, thus raising the hypothesis of their impact on pain perception mechanisms.
The perception of joint pain in patients with CRD was correlated with weather and air pollution. The strength of association was moderate and independent of underlying disease. Key Points •Weather variation was moderately correlated with joint pain in chronic rheumatic diseases, with an inverse association with temperature, humidity, and O3. • Air pollution indicators, mainly nitrogen dioxide and ozone, were correlated with joint pain; particulate matters were also correlated but to a lesser extent. learn more • The influence of these environmental factors was independent of the type of rheumatic disease, thus raising the hypothesis of their impact on pain perception mechanisms.
Determining the rupture risk of unruptured intracranial aneurysm is crucial for treatment strategy. The purpose of this study was to predict the rupture risk of middle cerebral artery (MCA) aneurysms using a machine learning technique.

We retrospectively reviewed 403 MCA aneurysms and randomly partitioned them into the training and testing datasets with a ratio of 82. A generalized linear model with logit link was developed using training dataset to predict the aneurysm rupture risk based on the clinical variables and morphological features manually measured from computed tomography angiography. To facilitate the clinical application, we further constructed an easy-to-use nomogram based on the developed model.

Ruptured MCA aneurysm had larger aneurysm size, aneurysm height, perpendicular height, aspect ratio, size ratio, bottleneck factor, and height-width ratio. Presence of a daughter-sac was more common in ruptured than in unruptured MCA aneurysms. Six features, including aneurysm multiplicity, lobulations, size ratio, bottleneck factor, height-width ratio, and aneurysm angle, were adopted in the model after feature selection. The model achieved a relatively good performance with areas under the receiver operating characteristic curves of 0.77 in the training dataset and 0.76 in the testing dataset. The nomogram provided a visual interpretation of our model, and the rupture risk probability of MCA aneurysms can be directly read from it.

Our model can be used to predict the rupture risk of MCA aneurysm.
Our model can be used to predict the rupture risk of MCA aneurysm.
Psychological well-being assessment during the COVID-19 pandemic is essential for patients with multiple sclerosis (MS). The goal of this study is to evaluate fear of relapse, social support, and psychological well-being (depression, anxiety, and stress level) of Iranian patients with MS during the COVID-19 pandemic stage.

One hundred and sixty-five patients were enrolled. We asked all cases to fill valid and reliable Persian version of depression, anxiety, and stress scale (DASS-21), perceived social support, and fear of relapse scale questionnaires.

One hundred and sixty-five patients were enrolled. Female to male ratio was (F/M) = 4.6. Mean age and mean duration of disease were 35.3±8.6 and 7.1±5 years, respectively. Mean scores of social support, DASS, and FoR questionnaires were 63.1±16.8, 16.4±13.4, and 51.4±17.3, respectively. There was a significant negative correlation between social support and FoR scores and also significant positive correlations between components of DASS and FoR. Linear regression analysis by considering FoR as dependent variable and age, sex, marital status, duration of the disease, and EDSS as dependent variables showed that sex was an independent predictor of FoR score.

Psychological well-being as well as fear of relapse should be considered in patients with MS during the COVID-19 pandemic stage.
Psychological well-being as well as fear of relapse should be considered in patients with MS during the COVID-19 pandemic stage.
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