Emotional and psychosocial function after dorsal column spinal cord stimulator implantation: a systematic review and meta-analysis.

BACKGROUND: The efficacy of spinal cord stimulation (SCS) in chronic pain studies is traditionally assessed by pain scores, which do not reflect the multidimensional nature of pain perception. Despite the evidence of SCS's influence on emotional functioning comprehensive assessments of its effect remain lacking. OBJECTIVE: To assess changes in emotional and psychosocial functioning in patients who underwent SCS implantation for chronic pain. EVIDENCE REVIEW: Ovid MEDLINE, EMBASE, PsychINFO, Cochrane CENTRAL and Scopus databases were searched for original peer-reviewed publications reporting emotional functioning after SCS. The primary outcomes were a pooled mean difference (MD) in anxiety, depression, global functioning, mental well-being and pain catastrophizing at 12 months. The Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) was used to determine the quality of evidence. FINDINGS: Thirty-two studies were included in the primary analysis. Statistically significant improvements were observed in anxiety (MD -2.16; 95% CI -2.84 to -1.49; p<0.001), depression (MD -4.66; 95% CI -6.26 to -3.06; p<0.001), global functioning (MD 20.30; 95% CI 14.69 to 25.90; p<0.001), mental well-being (MD 4.95; 95% CI 3.60 to 6.31; p<0.001), and pain catastrophizing (MD -12.09; 95% CI -14.94 to -9.23; p<0.001). Subgroup analyses revealed differences in Global Assessment of Functioning and mental well-being based on study design and in depression based on waveform paradigm. CONCLUSION: The results highlight the statistically and clinically significant improvements in emotional and psychosocial outcomes in patients with chronic pain undergoing SCS therapy. However, these results need to be interpreted with caution due to the very low certainty of evidence per the GRADE criteria. PROSPERO REGISTRATION: CRD42023446326.

Early dynamic changes to monocytes following major surgery are associated with subsequent infections.

Background: Post-operative infections are a common cause of morbidity following major surgery. Little is understood about how major surgery perturbs immune function leading to heightened risk of subsequent infection. Through analysis of paired blood samples obtained immediately before and 24 h following surgery, we evaluated changes in circulating immune cell phenotype and function across the first 24 h, to identify early immune changes associated with subsequent infection. Methods: We conducted a prospective observational study of adult patients undergoing major elective gastrointestinal, gynecological, or maxillofacial surgery requiring planned admission to the post-anesthetic care unit. Patients were followed up to hospital discharge or death. Outcome data collected included mortality, length of stay, unplanned intensive care unit admission, and post-operative infections (using the standardized endpoints in perioperative medicine-core outcome measures for perioperative and anesthetic care criteria). Peripheral blood mononuclear cells were isolated prior to and 24 h following surgery from which cellular immune traits including activation and functional status were assessed by multi-parameter flow cytometry and serum immune analytes compared by enzyme-linked immunosorbent assay (ELISA). Results: Forty-eight patients were recruited, 26 (54%) of whom developed a post-operative infection. We observed reduced baseline pre- and post-operative monocyte CXCR4 and CD80 expression (chemokine receptors and co-stimulation markers, respectively) in patients who subsequently developed an infection as well as a profound and selective post-operative increase in CD4+ lymphocyte IL-7 receptor expression in the infection group only. Higher post-operative monocyte count was significantly associated with the development of post-operative infection (false discovery rate < 1%; adjusted p-value = 0.001) with an area under the receiver operating characteristic curve of 0.84 (p < 0.0001). Conclusion: Lower monocyte chemotaxis markers, higher post-operative circulating monocyte counts, and reduced co-stimulatory signals are associated with subsequent post-operative infections. Identifying the underlying mechanisms and therapeutics to reverse defects in immune cell function requires further exploration.

Safety and efficacy of pimecrolimus versus vehicle for the treatment of atopic dermatitis in adults and paediatric population: a systematic review and meta-analysis.

Atopic dermatitis remains a widespread problem affecting various populations globally. While numerous treatment options have been employed, pimecrolimus remains a potent and viable option. Recently, there has been increasing interest in comparing the safety and efficacy of pimecrolimus with its vehicle. Methods: The authors conducted a comprehensive search of several databases, including PubMed, COCHRANE, MEDLINE, and Cochrane Central, from inception to May 2022, using a wide search strategy with Boolean operators. The authors also employed backward snowballing to identify any studies missed in the initial search. The authors included randomized controlled trials in our meta-analysis and extracted data from the identified studies. The authors used Review Manager (RevMan) Version 5.4 to analyze the data, selecting a random-effects model due to observed differences in study populations and settings. The authors considered a P-value of 0.05 or lower to be statistically significant. Results: The authors initially identified 211 studies, of which 13 randomized controlled trials involving 4180 participants were selected for analysis. Our pooled analysis revealed that pimecrolimus 1% was more effective at reducing the severity of atopic dermatitis than its vehicles. However, no significant difference was observed in adverse effects between pimecrolimus and vehicle, except for pyrexia, nasopharyngitis, and headache, which were increased with pimecrolimus. Conclusion: Our meta-analysis showed that pimecrolimus 1% is more effective than vehicle, although the safety profile remains inconclusive. Pimecrolimus reduced the Investigator's Global Assessment score, Eczema Area and Severity Index score, and severity of pruritus when compared to its vehicle, indicating a higher efficacy profile. This is one of the first meta-analyses to assess the efficacy and safety profile of pimecrolimus 1% against a vehicle and may assist physicians in making informed decisions.

Exploring changes in levels and patterns of physical activity in undergraduate medical and nursing students during the COVID-19 pandemic.

This study reports the physical activity (PA) levels among medical and nursing students at a university in Bahrain during the COVID-19 pandemic. Through self-selection sampling of an online survey, participants' data on general demographics, PA levels before and during the COVID-19 pandemic and reasons for PA changes were collected. From the 110 valid responses, 70 participants (63%) experienced a decrease in PA during the COVID-19 lockdown. Fear of contracting COVID-19 and lack of motivation were two significant reasons for reduced PA levels (p < 0.001) compared to those who did not experience a decrease in PA. Other factors significantly associated with reduced PA levels include living alone (p < 0.018) or with roommates (p < 0.006) compared to living with family. Having more time available was associated with positive changes to PA levels (p < 0.001). Significant differences in MET-min/week were seen between students who experienced increased PA (median of 1605 MET-min/week) compared to those who experienced a decrease (424 MET-min/week) or no change (1070 MET-min/week) in PA levels (p < 0.001). In conclusion, low PA levels are prevalent within medical and nursing students in Bahrain (51% reported < 600 MET-min/week), with ~2 in 3 students reporting a decrease in PA levels during the COVID-19 pandemic. Support programs and strategies to increase engagement in PA within this population are warranted.

An Exploration of Nanoparticle-Based Diagnostic Approaches for Coronaviruses: SARS-CoV-2, SARS-CoV and MERS-CoV.

The wildfire-like spread of COVID-19, caused by severe acute respiratory syndrome-associated coronavirus-2, has resulted in a pandemic that has put unprecedented stress on the world's healthcare systems and caused varying severities of socio-economic damage. As there are no specific treatments to combat the virus, current approaches to overcome the crisis have mainly revolved around vaccination efforts, preventing human-to-human transmission through enforcement of lockdowns and repurposing of drugs. To efficiently facilitate the measures implemented by governments, rapid and accurate diagnosis of the disease is vital. Reverse-transcription polymerase chain reaction and computed tomography have been the standard procedures to diagnose and evaluate COVID-19. However, disadvantages, including the necessity of specialized equipment and trained personnel, the high financial cost of operation and the emergence of false negatives, have hindered their application in high-demand and resource-limited sites. Nanoparticle-based methods of diagnosis have been previously reported to provide precise results within short periods of time. Such methods have been studied in previous outbreaks of coronaviruses, including severe acute respiratory syndrome-associated coronavirus and middle east respiratory syndrome coronavirus. Given the need for rapid diagnostic techniques, this review discusses nanoparticle use in detecting the aforementioned coronaviruses and the recent severe acute respiratory syndrome-associated coronavirus-2 to highlight approaches that could potentially be used during the COVID-19 pandemic.

The Relationship Between Specific Age-Related Chronic Conditions of Comorbidity and Depression Scores Among Men in an Elderly Population: A Cross-Sectional Study.

Objective There had been an observed increase in the prevalence of depression as well as many chronic conditions of comorbidity among the elderly population of Ireland above the age of 50. The relationship between different prominent conditions of comorbidity and depression scores amongst older adult men in Ireland was sought to be examined and explored. Methods A cross-sectional analysis of data from wave 1 of The Irish Longitudinal Study on Aging (TILDA) had been used for statistical analysis, which served to be the representative cohort study sample of elderly adults living in Ireland aged 50 and older. Summary statistics (cross-tabulation, t-test, analysis of variance/ANOVA and odds ratio) were used to explore the relationship between depression scores and different conditions of comorbidity. Results Results were drawn from the three different tests conducted; cross-tabulation, t-test, and analysis of variance/ANOVA. Cross-tabulation served to provide the total population of men who suffered from depression (CES-D score ≥ 16), which totaled 123 (1.4%) of the entire 8,504 available candidates. Of the participants that met the criteria for having a significant risk of clinical depression along with an accompanying chronic illness odds ratio (OR) had been calculated. All but one of the conditions yielded a significant increase in OR between having a chronic condition and depression; with the exception of chronic lung disease. Congestive heart failure demonstrated the highest OR of 4.40 (CI 95% 1.77-10.95), followed by arthritis, diabetes and cancer. Subsequent t-tests used to construct an ANOVA then illustrated the mean CES-D score for males suffering from one of the five concomitant illnesses selected (congestive heart failure, chronic lung disease, arthritis, cancer, and diabetes) as well as those free of the selected diseases of the study, with a total count of 2,117. All results had been deemed to be significant with p-values < 0.05, with men suffering from congestive heart failure having the highest mean score of 7.28 (n=39). Those who do not suffer from any of the five conditions reported the lowest scores and also accounted for the largest population group with 3.88 and 1,387, respectively. Conclusions Consistent and significant findings of elderly men suffering from a chronic condition of comorbidity demonstrated having elevated OR and CES-D scores in comparison to those who are disease-free. The findings of this study can be used to evaluate alternative preventative management of chronic diseases of comorbidity in order to improve the depression scores of patients.

Impact of tumor necrosis factor antagonist combination and anti-integrin therapies on body mass index in inflammatory bowel disease: A cross-sectional study.

Background: The impact of biologic therapies on body mass index (BMI) in patients with inflammatory bowel disease (IBD) is unclear. This study investigates any associations between BMI, type of IBD, and the type of medications taken among patients with IBD with varying weight categories. Methods: A cross sectional study was performed in an IBD tertiary care center. Data was obtained from patients with IBD attending outpatient clinics from January 1st, 2021 until November 1st, 2021. Adult patients, older than 18 years, with a diagnosis of Crohn's disease (CD) or ulcerative colitis (UC) were recruited. The primary outcome was the association between BMI and medication used in IBD. The secondary outcome was the association between BMI and disease type and location in patients with IBD. Results: The study included a total of 528 patients of which, 66.5% have CD. Patients with normal weight comprises 55.9% of the participants, while those who are underweight, overweight or obese are 3.4, 28.2, and 12.5%, respectively. None of the underweight patients had UC. Among the normal weight, overweight and obese BMI categories, 34.6% vs. 36.2% vs. 31.8% had UC, respectively. Patients who are on tumor necrosis factor inhibitors (anti-TNF) with an immunomodulator (anti-TNF combination), are more likely to be overweight or obese than patients who are not on anti-TNF combination (OR 2.86, 95% CI 1.739-4.711, p < 0.001). Patients on vedolizumab are twice as likely to be overweight or obese than patients not on vedolizumab (OR 2.23, 95% CI 1.086-4.584, p < 0.05). Patients with ileocolonic CD are more likely to be overweight or obese compared to other subtypes of CD (OR 1.78, 95% CI 1.14-2.77, p = 0.01). Conclusion: Many patients with IBD are either obese or overweight. Patients with IBD who are on anti-TNF combination therapy or vedolizumab monotherapy are more likely to be obese and overweight. In addition, patients will ileocolonic CD are more likely to be obese or overweight.

Continuous Non-Invasive Eye Tracking In Intensive Care.

Delirium, an acute confusional state, is a common occurrence in Intensive Care Units (ICUs). Patients who develop delirium have globally worse outcomes than those who do not and thus the diagnosis of delirium is of importance. Current diagnostic methods have several limitations leading to the suggestion of eye-tracking for its diagnosis through in-attention. To ascertain the requirements for an eye-tracking system in an adult ICU, measurements were carried out at Chelsea & Westminster Hospital NHS Foundation Trust. Clinical criteria guided empirical requirements of invasiveness and calibration methods while accuracy and precision were measured. A non-invasive system was then developed utilising a patient-facing RGB camera and a scene-facing RGBD camera. The system's performance was measured in a replicated laboratory environment with healthy volunteers revealing an accuracy and precision that outperforms what is required while simultaneously being non-invasive and calibration-free The system was then deployed as part of CONfuSED, a clinical feasibility study where we report aggregated data from 5 patients as well as the acceptability of the system to bedside nursing staff. To the best of our knowledge, the system is the first eye-tracking systems to be deployed in an ICU for delirium monitoring.

Clinical Utility and Functionality of an Artificial Intelligence-Based App to Predict Mortality in COVID-19: Mixed Methods Analysis.

BACKGROUND: The artificial neural network (ANN) is an increasingly important tool in the context of solving complex medical classification problems. However, one of the principal challenges in leveraging artificial intelligence technology in the health care setting has been the relative inability to translate models into clinician workflow. OBJECTIVE: Here we demonstrate the development of a COVID-19 outcome prediction app that utilizes an ANN and assesses its usability in the clinical setting. METHODS: Usability assessment was conducted using the app, followed by a semistructured end-user interview. Usability was specified by effectiveness, efficiency, and satisfaction measures. These data were reported with descriptive statistics. The end-user interview data were analyzed using the thematic framework method, which allowed for the development of themes from the interview narratives. In total, 31 National Health Service physicians at a West London teaching hospital, including foundation physicians, senior house officers, registrars, and consultants, were included in this study. RESULTS: All participants were able to complete the assessment, with a mean time to complete separate patient vignettes of 59.35 (SD 10.35) seconds. The mean system usability scale score was 91.94 (SD 8.54), which corresponds to a qualitative rating of "excellent." The clinicians found the app intuitive and easy to use, with the majority describing its predictions as a useful adjunct to their clinical practice. The main concern was related to the use of the app in isolation rather than in conjunction with other clinical parameters. However, most clinicians speculated that the app could positively reinforce or validate their clinical decision-making. CONCLUSIONS: Translating artificial intelligence technologies into the clinical setting remains an important but challenging task. We demonstrate the effectiveness, efficiency, and system usability of a web-based app designed to predict the outcomes of patients with COVID-19 from an ANN.

COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics.

The SARS-CoV-2 virus, which causes the COVID-19 pandemic, has had an unprecedented impact on healthcare requiring multidisciplinary innovation and novel thinking to minimize impact and improve outcomes. Wide-ranging disciplines have collaborated including diverse clinicians (radiology, microbiology, and critical care), who are working increasingly closely with data-science. This has been leveraged through the democratization of data-science with the increasing availability of easy to access open datasets, tutorials, programming languages, and hardware which makes it significantly easier to create mathematical models. To address the COVID-19 pandemic, such data-science has enabled modeling of the impact of the virus on the population and individuals for diagnostic, prognostic, and epidemiological ends. This has led to two large systematic reviews on this topic that have highlighted the two different ways in which this feat has been attempted: one using classical statistics and the other using more novel machine learning techniques. In this review, we debate the relative strengths and weaknesses of each method toward the specific task of predicting COVID-19 outcomes.

Perioperative Research into Memory (PRiMe): Cognitive impairment following a severe burn injury and critical care admission, part 1.

INTRODUCTION: An investigation into long-term cognitive impairment and Quality of Life (QoL) after severe burns. METHODS: A proof of principle, cohort design, prospective, observational clinical study. Patients with severe burns (>15% TBSA) admitted to Burns ICU for invasive ventilation were recruited for psychocognitive assessment with a convenience sample of age and sex-matched controls. Participants completed psychological and QoL questionnaires, the Cogstate® electronic battery, Hopkins Verbal Learning, Verbal Fluency and Trail making tasks. RESULTS: 15 patients (11M, 4F; 41±14 years; TBSA 38.4%±18.5) and comparators (11M, 4F; 40±13 years) were recruited. Burns patients reported worse QoL (Neuro-QoL Short Form v2, patient 30.1±8.2, control 38.7±3.2, p=0.0004) and cognitive function (patient composite z-score 0.01, IQR -0.11 to 0.33, control 0.13, IQR 0.47-0.73, p=0.02). Compared to estimated premorbid FSIQ, patients dropped an equivalent of 8 IQ points (p=0.002). Cognitive function negatively correlated with burn severity (rBaux score, p=0.04). QoL strongly correlated with depressive symptoms (Rho=-0.67, p=0.009) but not cognitive function. CONCLUSIONS: Severe burns injuries are associated with a significant, global, cognitive deficit. Patients also report worse QoL, depression and post-traumatic stress. Perceived QoL from cognitive impairment was more closely associated with depression than cognitive impairment.

Scoping review on the use of socially assistive robot technology in elderly care.

OBJECTIVE: With an elderly population that is set to more than double by 2050 worldwide, there will be an increased demand for elderly care. This poses several impediments in the delivery of high-quality health and social care. Socially assistive robot (SAR) technology could assume new roles in health and social care to meet this higher demand. This review qualitatively examines the literature on the use of SAR in elderly care and aims to establish the roles this technology may play in the future. DESIGN: Scoping review. DATA SOURCES: Search of CINAHL, Cochrane Library, Embase, MEDLINE, PsychINFO and Scopus databases was conducted, complemented with a free search using Google Scholar and reference harvesting. All publications went through a selection process, which involved sequentially reviewing the title, abstract and full text of the publication. No limitations regarding date of publication were imposed, and only English publications were taken into account. The main search was conducted in March 2016, and the latest search was conducted in September 2017. ELIGIBILITY CRITERIA: The inclusion criteria consist of elderly participants, any elderly healthcare facility, humanoid and pet robots and all social interaction types with the robot. Exclusions were acceptability studies, technical reports of robots and publications surrounding physically or surgically assistive robots. RESULTS: In total, 61 final publications were included in the review, describing 33 studies and including 1574 participants and 11 robots. 28 of the 33 papers report positive findings. Five roles of SAR were identified: affective therapy, cognitive training, social facilitator, companionship and physiological therapy. CONCLUSIONS: Although many positive outcomes were reported, a large proportion of the studies have methodological issues, which limit the utility of the results. Nonetheless, the reported value of SAR in elderly care does warrant further investigation. Future studies should endeavour to validate the roles demonstrated in this review. SYSTEMATIC REVIEW REGISTRATION: NIHR 58672.