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Operative cancellations adversely affect patient health and impose resource strain on the healthcare system. Here, our objective was to describe neurosurgical cancellations at five Canadian academic institutions.
Methods:
The Canadian Neurosurgery Research Collaborative performed a retrospective cohort study capturing neurosurgical procedure cancellation data at five Canadian academic centres, during the period between January 1, 2014 and December 31, 2018. Demographics, procedure type, reason for cancellation, admission status and case acuity were collected. Cancellation rates were compared on the basis of demographic data, procedural data and between centres.
Results:
Overall, 7,734 cancellations were captured across five sites. Mean age of the aggregate cohort was 57.1 ± 17.2 years. The overall procedure cancellation rate was 18.2%. The five-year neurosurgical operative cancellation rate differed between Centre 1 and 2 (Centre 1: 25.9%; Centre 2: 13.0%, p = 0.008). Female patients less frequently experienced procedural cancellation. Elective, outpatient and spine procedures were more often cancelled. Reasons for cancellation included surgeon-related factors (28.2%), cancellation for a higher acuity case (23.9%), patient condition (17.2%), other factors (17.0%), resource availability (7.0%), operating room running late (6.4%) and anaesthesia-related (0.3%). When clustered, the reason for cancellation was patient-related in 17.2%, staffing-related in 28.5% and operational or resource-related in 54.3% of cases.
Conclusions:
Neurosurgical operative cancellations were common and most often related to operational or resource-related factors. Elective, outpatient and spine procedures were more often cancelled. These findings highlight areas for optimizing efficiency and targeted quality improvement initiatives.
COVID-19 has significantly impacted society for over 2.5 years, and Long COVID is concerning for its long-term impact on the healthcare system. Further, cognitive and emotional functioning in Long COVID has limited research, but 2 recent studies (Whiteside et al., 2022a, Whiteside et al., 2022b) examined cognitive and emotional functioning in Long COVID patients approximately 6 months post-diagnosis. The studies found limited cognitive deficits, but significant depression and anxiety, which in turn were the best predictors of low average cognitive scores. Further, the mean Personality Assessment Inventory (PAI) profile included highest mean elevations on somatic preoccupation (SOM) and depression (DEP) subscales. To further explore personality functioning in Long COVID, this study compared PAI profiles of Long COVID patients with a potentially similar group with post-concussion syndrome (PCS) which has been shown to have a strong psychological component.
Participants and Methods:
Participants included 44 consecutive outpatients (Mean age = 47.89, SD = 13.05, 84% Female, 75% Caucasian) referred from a Long COVID clinic with cognitive complaints related to COVID, while the comparison group of PCS patients included 50 consecutive referrals (Mean age = 38.82, SD = 16.24, 52% Female, 90% Caucasian) related to cognitive complaints attributed to PCS. A series of t-tests between the 2 groups was conducted on the PAI validity, clinical, interpersonal, and treatment consideration scales. PAI clinical subscales were also compared. To control for multiple comparisons, p < .01 was utilized and effect sizes were compared.
Results:
The results demonstrated that both Long COVID (SOM M = 68.66, SD = 12.56; DEP M = 63.39, SD = 12.70) and PCS groups (SOM M = 65.28, SD = 12.06; DEP M = 70.32, SD = 16.15) displayed the highest mean elevations on PAI SOM and DEP scales but no statistically significant differences in mean scale elevations between Long COVID and PCS groups on SOM (t [92] = 1.33, p = .80) and DEP (t [92] = -2.11, p = .097). However, results demonstrated statistically significant differences on the paranoia subscale (PAR; t [92] = -3.27, p = .009), antisocial features subscale (ANT; t [92] = -2.22, p = .01), stress subscale (STR; t [90] = -3.51, p = .006) and suicidal ideation subscale (SUI; t [92] = -2.73, p = .000) of the PAI. Specifically, the mean scores for the PCS group were higher across the paranoia (M = 57.30), antisocial features (M= 52.24), stress (M = 58.44), and suicidal ideation subscales (M = 57.82) of the PAI than the Long COVID group. While these patterns of reporting differed between groups, mean scores for both groups were in the normal range.
Conclusions:
Results support the similarities in emotional/personality functioning across Long COVID and PCS patients and the importance of evaluating psychological functioning in these samples as a standard part of neuropsychological evaluations. Further, the results suggest that psychological treatment strategies utilized with PCS patients may be helpful for Long COVID patients, but more research is needed.
Pediatric acquired demyelinating syndromes (PADS) include a heterogeneous group of diagnoses, including acute disseminated encephalomyelitis (ADEM), neuromyelitis optica spectrum disorders (NMOSD), optic neuritis (ON) and transverse myelitis (TM). Myelin oligodendrocyte glycoprotein antibody disease (MOGAD) is often associated with demyelinating conditions, but may also present with encephalopathy without demyelinating lesions. Approximately 30% of patients diagnosed with MOGAD experience a relapse. Neurocognitive outcomes in PADS have reduced performance on tasks related to attention, processing speed, visual motor, and fine motor functioning. Psychosocial problems include anxiety, depression, and fatigue. Neurocognitive and psychosocial impacts of MOGAD events for the pediatric population are sparse. The current study sought to characterize neurocognitive sequelae from MOGAD (MAGAD+) compared to patients diagnosed withPADS without MOGAD (MOGAD-).
Participants and Methods:
Twenty children and adolescents (6–18 years) diagnosed with PADS were recruited using a clinic convenience sample of patients. Study participants completed a neurocognitive battery and parents completed questionnaires of behavioral and emotional functioning. Demographic and medical variables were collected via retrospective chart review. Chi square and t-test analyses were used to compare MOGAD+ and MOGAD- groups. Performance on neuropsychological and behavioral questionnaires were compared to established sex and age norms to assess the degree to which group means deviate from normative expectations.
Results:
MOGAD+ and MOGAD- groups did not significantly differ based on demographic, neurocognitive, or parent reported social and behavioral functioning. Neurocognitive testing documented mean scores that were in the average range between groups. Notable variability in performance was observed within both MOGAD+ and MOGAD- groups. Bilateral fine motor deficits, visual motor, visual perception attention, and executive functioning deficits were notable for the combined PADS group, with 30-50% performing >1.5 SD below the mean. The number of white matter lesions or hospital duration were not significantly associated with performance on neurocognitive measures. However, older age of onset of PADS was significantly correlated with lower performance on visual motor integration and visual perception tasks (r(18) = -.50 p = .026; r(18) = -.53 p = .016). Findings also revealed associations of shorter hospitalization stays with higher behavioral symptoms on a parent measure of social/behavioral functioning (r(18) = -.47 p = .037).
Conclusions:
Consistent with the PADS literature, relative to control norms, lower performance on tasks related to attention, executive functioning, visual motor, and fine motor skills, irrespective of MOGAD status, are observed in the current study. The variability of functioning and heterogeneity observed across PADS diagnoses warrants further study to better understand the impact of clinical course, treatment outcomes, and neuropsychological sequelae over time in this population. Higher behavioral distress with shorter hospital stays may indicate a potential opportunity for patient and family education preparing for return to home/community. The current study was limited by small sample size, variable time since hospitalization, and heterogeneous diagnoses within PADS that make it difficult to generalize findings. Future studies could prospectively follow patients over time to better understand the trajectory of recovery, identify predictors for relapse, and those at greatest risk of neurocognitive and behavioral deficits.
Insomnia affects 30-45% of the world population, is related to mortality (i.e., auto accidents and job-related accidents), and is related to mood and affect disorders such as anxiety and depression. Better understanding of insomnia via increased research will decrease the burden on insomnia. The neurocognitive model of sleep proposes that conditioned somatic and cognitive hyperarousal develop in response to repeated pairings of sleep-related stimuli with insomnia-related wakefulness. The purpose of this study was to examine the neurocognitive model of sleep using a novel laboratory paradigm, the Sleep Approach Avoidance Task (SAAT). It was hypothesized that individuals who report symptoms of insomnia will display a bias for negative sleep-related images from the SAAT, which is presumably a reflection of cognitive, behavioral and physiological processes associated with hyperarousal. It was also hypothesized that participants who report poor sleep would provide different subjective ratings for negative images (i.e., stronger valence and arousal) than individuals who reported better sleep.
Participants and Methods:
An initial sample of 66 healthy college-aged participants completed the Insomnia Severity Index (ISI), the Pittsburgh Sleep Quality Index (PSQI) the Dysfunctional Attitudes and Beliefs about Sleep (DBAS) scale and the Epworth Sleepiness Scale (ESS). Participants also completed the SAAT. The SAAT was developed to assess sleep-related bias in adults. The SAAT is a visual, joystick controlled reaction time task that measures implicit bias for positive and negative sleep-related images. At the end of the task the participants are also asked to rate each image along three dimensions included valence, arousal and dominance.
Results:
There was a positive correlation between the SAAT and the ISI [r(61) = .30, p = .01], indicating that symptoms of insomnia are related to negative approach-related bias for sleep-related images. No other correlations were observed between the SAAT and self-report sleep measures. With regard to rating of images, higher dominance ratings for negative images were correlated with the SAAT [r(62) = .24, p = .03], which indicates that the approach bias for negative images is associated with “being in control.” Multiple linear regression was used to test if ISI scores and dominance ratings for negative images significantly predicted SAAT bias scores. The overall regression was statistically significant [r2 = .13, F(2, 58) = 4.15, p = .02]. ISI scores significantly predicted SAAT scores (ß = .27, p = .04), whereas dominance ratings for negative images did not significantly predict SAAT scores (ß = .20, p = .11). Exploratory correlational analyses were also completed for ratings of images and other sleep self-report measures. Valence ratings for positive sleep-related images were positively correlated with the ESS [r(64) = .36, p = .01], whereas valence ratings for negative sleep-related images were negatively correlated with the ESS [r(64) = -.24, p = .03].
Conclusions:
Hypotheses were partially supported with the ISI being the only self-report measure associated with negative bias for sleep-related images. While ratings of dominance are associated with bias for negative sleep-related images, these ratings do not provide unique variance. These findings indicate a cognitive processing bias for sleep-related stimuli among young adult poor sleepers. Limitations, implications for assessment and intervention are discussed.
This paper describes the development process of a mobile app-based version of the World Health Organization mental health Gap Action Programme Intervention Guide, testing of the app prototypes, and its functionality in the assessment and management of people with mental health conditions in Nepal. Health workers’ perception of feasibility and acceptability of using mobile technology in mental health care was assessed during the inspiration phase (N = 43); the ideation phase involved the creation of prototypes; and prototype testing was conducted over multiple rounds with 15 healthcare providers. The app provides provisional diagnoses and treatment options based on reported symptoms. Participants found the app prototype useful in reminding them of the process of assessment and management of mental disorders. Some challenges were noted, these included a slow app prototype with multiple technical problems, including difficulty in navigating ‘yes’/‘no’ options, and there were challenges reviewing detailed symptoms of a particular disorder using a “more information” icon. The initial feasibility work suggests that if the technical issues are addressed, the e-mhGAP warrants further research to understand if it is a useful method in improving the detection of people with mental health conditions and initiation of evidence-based treatment in primary healthcare facilities.
The internet allows easy access for the sales of psychoactive agents that are not regulated by the FDA. Some of those agents are used to help manage anxiety, depression and sleep, such as tianeptine, etizolam, and phenibut. These medications have the potential for abuse and potentially leading to altered mental status when intoxicated or withdrawing. This presents a challenge to clinicians who may not be aware of availability of such substances. Available literature has discussed the use of above substances individually, but how do you treat if there is use of more than one substance with different mechanisms of actions? Here we present a case of an adult male who has used all three agents simultaneously, leading to a hospital admission.
Case History
A 32-year-old male presented to the emergency department (ED) for altered mental status (AMS). He has a documented history of anxiety but was never treated with prescription medications. No history of substance use was documented. He was self-medicating with concurrent use of tianeptine (atypical antidepressant with mu agonist properties,) phenibut (GABA mimetic) and etizolam (a benzodiazepine-like agent). During his stay, he was agitated and delirious with reports of visual hallucinations. Neuroimaging and lab studies were within normal limits, EEG showed no seizure activity. Over the course of his hospital stay, he was started on Depakote for agitation, a Valium taper for suspected benzodiazepine withdrawal and prevention of seizures, Seroquel for delirium, and baclofen for suspected GABAergic withdrawal symptoms. The patient’s AMS improved and he was discharged on hospital day 10.
Conclusions
This case illustrates the difficulty managing poly-substance use/abuse and stresses the importance for physicians to screen for psychoactive agents purchased over the internet or over the counter to improve treatment outcomes. Continued discussions with patients regarding risks/benefits of use of such substances would be beneficial and help increase awareness.
The COVID-19 pandemic has placed unprecedented pressure on governments to engage in widespread cash transfers directly to citizens to help mitigate economic losses. Major and near-universal redistribution efforts have been deployed, but there is remarkably little understanding of where the mass public believes financial support is warranted. Using experimental evidence, we evaluate whether considerations related to deservingness, similarity, and prejudicial attitudes structure support for these transfers. A preregistered experiment found broad, generous, and nondiscriminatory support for direct cash transfers related to COVID-19 in Canada. The second study, accepted as a preregistered report, further probes these dynamics by comparing COVID-19-related outlays with nonemergency ones. We find that COVID-19-related spending was more universal as compared to a more generic cash allocation program. Given that the results were driven by the income of hypothetical recipients, we find broad support for disaster relief that is not means-tested or otherwise constrained by pre-disaster income.
We report an idealized numerical study of a melting and freezing solid adjacent to a turbulent, buoyancy-affected shear flow, in order to improve our understanding of topography generation by phase changes in the environment. We use the phase-field method to dynamically couple the heat equation for the solid with the Navier–Stokes equations for the fluid. We investigate the evolution of an initially flat and horizontal solid boundary overlying a pressure-driven turbulent flow. We assume a linear equation of state for the fluid and change the sign of the thermal expansion coefficient, such that the background density stratification is either stable, neutral or unstable. We find that channels aligned with the direction of the mean flow are generated spontaneously by phase changes at the fluid–solid interface. Streamwise vortices in the fluid, the interface topography and the temperature field in the solid influence each other and adjust until a statistical steady state is obtained. The crest-to-trough amplitude of the channels is larger than approximately 10$\delta _{\nu }$ in all cases, with $\delta _{\nu }$ the viscous length scale, but is much larger and more persistent for an unstable stratification than for a neutral or stable stratification. This happens because a stable stratification makes the cool melt fluid buoyant such that it shields the channel from further melting, whereas an unstable stratification makes the cool melt fluid sink, inducing further melting by rising hot plumes. The statistics of flow velocities and melt rates are investigated, and we find that channels and keels emerging in our simulations do not significantly change the mean drag coefficient.
To compare sensitivity of specimens for COVID-19 diagnosis, we tested 151 nasopharyngeal/midturbinate swab pairs from 117 COVID-19 inpatients using reverse-transcriptase polymerase chain reaction (RT-PCR). Sensitivity was 94% for nasopharyngeal and 75% for midturbinate swabs (P = .0001). In 88 nasopharyngeal/midturbinate pairs with matched saliva, sensitivity was 86% for nasopharyngeal swabs and 88% for combined midturbinate swabs/saliva.
Social relationships are important among persons experiencing homelessness, but there is little research on changes in social networks among persons moving into permanent supportive housing (PSH). Using data collected as part of a longitudinal study of 405 adults (aged 39+) moving into PSH, this study describes network upheaval during this critical time of transition. Interviews conducted prior to and after three months of living in PSH assessed individual-level (demographics, homelessness history, health, and mental health) and social network characteristics, including network size and composition (demographics, relationship type, and social support). Interviewers utilized network member characteristics to assess whether network members were new or sustained between baseline and three months post-housing. Multilevel logistic regression models assessed characteristics of network members associated with being newly gained or persisting in networks three months after PSH move-in. Results show only one-third of social networks were retained during the transition to PSH, and veterans, African Americans, and other racial/ethnic minorities, and those living in scattered site housing, were more likely to experience network disruption. Relatives, romantic partners, and service providers were most likely to be retained after move-in. Some network change was moderated by tie strength, including the retention of street-met persons. Implications are discussed.
Children treated for brain tumors often experience social and emotional difficulties, including challenges with emotion regulation; our goal was to investigate the attention-related component processes of emotion regulation, using a novel eye-tracking measure, and to evaluate its relations with emotional functioning and white matter (WM) organization.
Method:
Fifty-four children participated in this study; 36 children treated for posterior fossa tumors, and 18 typically developing children. Participants completed two versions of an emotion regulation eye-tracking task, designed to differentiate between implicit (i.e., automatic) and explicit (i.e., voluntary) subprocesses. The Emotional Control scale from the Behavior Rating Inventory of Executive Function was used to evaluate emotional control in daily life, and WM organization was assessed with diffusion tensor imaging.
Results:
We found that emotional faces captured attention across all groups (F(1,51) = 32.18, p < .001, η2p = .39). However, unlike typically developing children, patients were unable to override the attentional capture of emotional faces when instructed to (emotional face-by-group interaction: F(2,51) = 5.58, p = .006, η2p = .18). Across all children, our eye-tracking measure of emotion regulation was modestly associated with the parent-report emotional control score (r = .29, p = .045), and in patients it was associated with WM microstructure in the body and splenium of the corpus callosum (all t > 3.03, all p < .05).
Conclusions:
Our findings suggest that an attention-related component process of emotion regulation is disrupted in children treated for brain tumors, and that it may relate to their emotional difficulties and WM organization. This work provides a foundation for future theoretical and mechanistic investigations of emotional difficulties in brain tumor survivors.
At present, analysis of diet and bladder cancer (BC) is mostly based on the intake of individual foods. The examination of food combinations provides a scope to deal with the complexity and unpredictability of the diet and aims to overcome the limitations of the study of nutrients and foods in isolation. This article aims to demonstrate the usability of supervised data mining methods to extract the food groups related to BC. In order to derive key food groups associated with BC risk, we applied the data mining technique C5.0 with 10-fold cross-validation in the BLadder cancer Epidemiology and Nutritional Determinants study, including data from eighteen case–control and one nested case–cohort study, compromising 8320 BC cases out of 31 551 participants. Dietary data, on the eleven main food groups of the Eurocode 2 Core classification codebook, and relevant non-diet data (i.e. sex, age and smoking status) were available. Primarily, five key food groups were extracted; in order of importance, beverages (non-milk); grains and grain products; vegetables and vegetable products; fats, oils and their products; meats and meat products were associated with BC risk. Since these food groups are corresponded with previously proposed BC-related dietary factors, data mining seems to be a promising technique in the field of nutritional epidemiology and deserves further examination.
The COVID-19 pandemic requires an effort to coordinate the actions of government and society in a way unmatched in recent history. Individual citizens need to voluntarily sacrifice economic and social activity for an indefinite period of time to protect others. At the same time, we know that public opinion tends to become polarized on highly salient issues, except when political elites are in consensus (Berinsky, 2009; Zaller, 1992). Avoiding elite and public polarization is thus essential for an effective societal response to the pandemic. In the United States, there appears to be elite and public polarization on the severity of the pandemic (Gadarian et al., 2020). Other evidence suggests that polarization is undermining compliance with social distancing (Cornelson and Miloucheva, 2020). Using a multimethod approach, we show that Canadian political elites and the public are in a unique period of cross-partisan consensus on important questions related to the COVID-19 pandemic, such as its seriousness and the necessity of social distancing.
As cash increasingly becomes an essential part of humanitarian assistance, it is critical that practitioners are aware of, and work to mitigate, exposure to protection risks among the most vulnerable recipients. This article presents findings from qualitative research exploring protection risks and barriers that arise in cash programming for internally displaced persons at high risk of violence and exploitation in Cameroon and Afghanistan. The authors conclude with recommendations for mainstreaming global protection principles into cash programmes, as well as key considerations for designing and implementing cash programmes in ways that minimize existing risks of harm and avoid creating new ones.
In March 2017, the New Jersey Department of Health received reports of 3 patients who developed septic arthritis after receiving intra-articular injections for osteoarthritis knee pain at the same private outpatient facility in New Jersey. The risk of septic arthritis resulting from intra-articular injection is low. However, outbreaks of septic arthritis associated with unsafe injection practices in outpatient settings have been reported.
Methods:
An infection prevention assessment of the implicated facility’s practices was conducted because of the ongoing risk to public health. The assessment included an environmental inspection of the facility, staff interviews, infection prevention practice observations, and a medical record and office document review. A call for cases was disseminated to healthcare providers in New Jersey to identify patients treated at the facility who developed septic arthritis after receiving intra-articular injections.
Results:
We identified 41 patients with septic arthritis associated with intra-articular injections. Cultures of synovial fluid or tissue from 15 of these 41 case patients (37%) recovered bacteria consistent with oral flora. The infection prevention assessment of facility practices identified multiple breaches of recommended infection prevention practices, including inadequate hand hygiene, unsafe injection practices, and poor cleaning and disinfection practices. No additional cases were identified after infection prevention recommendations were implemented by the facility.
Discussion:
Aseptic technique is imperative when handling, preparing, and administering injectable medications to prevent microbial contamination.
Conclusions:
This investigation highlights the importance of adhering to infection prevention recommendations. All healthcare personnel who prepare, handle, and administer injectable medications should be trained in infection prevention and safe injection practices.
In this article, we present an educational intervention that embeds ethics education within research laboratories. This structure is designed to assist students in addressing ethical challenges in a more informed way, and to improve the overall ethical culture of research environments. The project seeks (a) to identify factors that students and researchers consider relevant to ethical conduct in science, technology, engineering, and math (STEM) and (b) to promote the cultivation of an ethical culture in experimental laboratories by integrating research stakeholders in a bottom-up approach to developing context-specific, ethics-based guidelines. An important assumption behind this approach is that direct involvement in the process of developing laboratory specific ethical guidelines will positively influence researchers’ understanding of ethical research and practice issues, their handling of these issues, and the promotion of an ethical culture in the respective laboratory. The active involvement may increase the sense of ownership and integration of further discussion on these important topics. Based on the project experiences, the project team seeks to develop a module involving the bottom-up building of codes-of-ethics-based guidelines that can be used by a broad range of institutions and that will be distributed widely.
The Holocene portion of the Siple Dome (Antarctica) ice core was dated by interpreting the electrical, visual and chemical properties of the core. The data were interpreted manually and with a computer algorithm. The algorithm interpretation was adjusted to be consistent with atmospheric methane stratigraphic ties to the GISP2 (Greenland Ice Sheet Project 2) ice core, 10Be stratigraphic ties to the dendrochronology 14 C record and the dated volcanic stratigraphy. The algorithm interpretation is more consistent and better quantified than the tedious and subjective manual interpretation.
On 1 December 2011 the West Antarctic Ice Sheet (WAIS) Divide ice-core project reached its final depth of 3405 m. The WAIS Divide ice core is not only the longest US ice core to date, but is also the highest-quality deep ice core, including ice from the brittle ice zone, that the US has ever recovered. The methods used at WAIS Divide to handle and log the drilled ice, the procedures used to safely retrograde the ice back to the US National Ice Core Laboratory (NICL) and the methods used to process and sample the ice at the NICL are described and discussed.