Predictive Models for Canadian Healthcare Workers Mental Health During COVID-19.

PURPOSE: COVID-19 impact on the population's mental health has been reported worldwide. Predicting healthcare workers' mental health and life stress is needed to proactively plan for future emergencies. DESIGN: Statistics Canada has surveyed Canadian healthcare workers and those working in healthcare settings to gauge their perceived mental health and perceived life stress. SETTING: A cross-sectional survey of healthcare workers in Canada. SUBJECTS: A sample of 18,139 healthcare workers respondents. ANALYSIS: Eight algorithms, including Logistic Regression, Random Forest (RF), Naive Bayes (NB), K Nearest Neighbours (KNN), Adaptive boost (AdaBoost), Multi-layer perceptron (MLP), XGBoost, and LightBoost. AUC scores, accuracy and precision were measured for all models. RESULTS: XGBoost provided the highest performing model AUC score (AUC = 82.07%) for predicting perceived mental health, and Random Forest performed the best for predicting perceived life stress (AUC = 77.74%). Perceived health, age group of participants, and perceived mental health compared to before the pandemic were found to be the most important 3 features to predict perceived mental health and perceived stress. Perceived mental health compared to before the pandemic was the most important predictor for perceived life stress. CONCLUSION: Our models are highly predictive of healthcare workers' perceived mental health and life stress. Implementing scalable, non-expensive virtual mental health solutions to address mental health challenges in the workplace could mitigate the impact of workplace conditions on healthcare workers' mental health.

Planning for a Crisis: Predicting Anxiety in a Population During COVID-19 Using Machine Learning.

COVID-19 impact on population mental health has been reported around the world. Statistics Canada has conducted a survey among Canadian population to gauge mental health challenges they experienced, specifically in terms of anxiety. We create a machine learning model to predict anxiety symptoms as measured by the General Anxiety Scale among the sample of 45,989 respondents to the survey. Eight algorithms including Logistic Regression, Random Forest, Naive Bayes, K Nearest Neighbours, Adaptive boost, Multi linear perceptron, XGBoost and LightBoost. LightBoost provided the highest performing model AUC score (AUC=87.45%). In addition, the features "perception of mental health compared to before physical distancing", "perceived life stress", and "perceived mental health" were found to be the most important three features to predict anxiety. A limitation of this study is that the sample is not representative of the Canadian population. Preparing for virtual care interventions during a crisis need to take into considerations these factors.

Robotic Integration in the Field of Opthalmology and Its Prospects in India.

In this paper, an overview of the integration of robotic techniques into surgical fields of ophthalmology is described and the details about the latest advancements and future potentials associated with it are presented. The eye is a small, enclosed space that does not tolerate the misplacement of instruments that general surgery can tolerate. As the retina doesn't regenerate, it is of paramount importance to avoid injury. Furthermore, there are additional limitations of unassisted human hands in terms of dexterity, tremor, and precision in positioning instruments in the eye. Robotics has become a promising solution to these human challenges. The emergence of robotic technology into the domain of rapidly advancing micro-invasive surgery has reduced discomfort in patients and enhanced safety, capabilities, and outcomes. With the arrival of the Femtosecond laser system for robotic cataract surgery in several hospitals in India, the paradigm of robotic surgery has shifted as people started to accept and apply it. Although there is still much to learn in this area, there is growing interest in creating gadgets that perform complete surgical procedures. The fundamental objective of these surgeries would be to increase speed and efficiency without compromising the capacity to increase precision. Major criteria include an acceptable range of motion, the capacity to switch instruments mid-surgery, and simultaneous manipulation of the surgical instrument. Robotic surgery is an already well-established technological advancement employed across the globe by leading surgeons in their fields but its curve in ophthalmology is still under supervision. Just like every other advance, robotics has its own set of disadvantages including but not limited to the costs, limited availability, and long learning curve. Nonetheless, this paper doesn't intend to promote the replacement of surgeons with technology, it's intended to get aware of the utilities of technology to improve care and deliver personal compassionate care. This quest is for the idea of robotics in the ocular field and improvisation of the field.

Is Open Reduction and Internal Fixation Sacrosanct in the Management of Subcondylar Fractures: A Comparative Study.

PURPOSE: This paper is intended to compare and evaluate the better treatment option in the management of subcondylar fractures of the mandible. MATERIALS AND METHODS: This study included 20 patients who were diagnosed clinically and radiologically to have sustained an isolated subcondylar fracture of the mandible. They were divided into two groups randomly. Group I included 10 patients who underwent treatment by intermaxillary fixation alone followed by active physiotherapy in the form of conservative management. Group II included 10 patients who underwent treatment by surgical intervention for open reduction and internal fixation under general anesthesia following elastic guidance. Factors such as maximal mouth opening, pain scores, and deviation of mandible on mouth opening were taken into consideration and evaluated. RESULTS: It is observed that the patients in Group I had weight loss and restrictions in their social well-being in the early recovery phase, in addition to delay in return to function. In spite of the early return to function, patients in Group II were subjected to all kinds of surgical complications such as transient facial nerve injury, infection, and unesthetic scar. The maximal mouth opening and deviation of the mandible on mouth opening remained almost the same in both groups. CONCLUSION: A regular follow up of operated patients post trauma is essential to obtain morphological and functional recovery. When the respective advantages and disadvantages of both treatment options were compared and evaluated, it was observed that patients treated by closed reduction had a better clinical and psychological outcome.

Regulation of oxidized LDL-induced inflammatory process through NLRP3 inflammasome activation by the deubiquitinating enzyme BRCC36.

OBJECTIVE: Oxidized Low-Density Lipoprotein (oxLDL) is a well-established pro-inflammatory marker that activates the NLRP3 inflammasome. Ubiquitination plays an important role in modulating the stability and functions of various proteins. BRCC36 is a ubiquitin-modifying enzyme that plays a crucial role in protein stabilization and activation in the cytosol, but its role in OxLDL-induced NLRP3 inflammasome activation is not known. Here, we have investigated the role of deubiquitinating enzyme BRCC36 in regulating NLRP3 inflammasome during oxLDL stimulation. METHODS: Raw 264.7 murine macrophages were stimulated with oxLDL and effect of BRCC36 deubiquitination activity was assessed by fluorometric assay, and protein expression was assessed by Western blotting. The level of IL-1ß measured by ELISA and LDH activity as pyroptotic cell death marker was assessed by fluorometric assay. RESULTS: The results showed that oxLDL increased the level of NLRP3 in macrophages and also the level of active caspase-1 and IL-1ß. It also modulated the expression of deubiquitinating enzymes and caused pyroptotic cell death as indicated by LDH release. Inhibiting the proteasomal activity by MG132 and siRNA-mediated silencing of BRCC36 in macrophages potentially suppressed oxLDL-induced NLRP3 inflammasome activation and IL-1ß secretion. Furthermore, the inhibition of proteasomal deubiquitinating activity with specific BRCC36 inhibitor G5 also reduced the inflammatory cell death. CONCLUSION: Taken together, our study suggests that deubiquitinating enzyme BRCC36 inhibition could potentially suppress oxLDL-induced inflammatory process by inhibiting NLRP3 activation and resultant IL-1ß secretion.