Real-time classification of tumour and non-tumour tissue in colorectal cancer using diffuse reflectance spectroscopy and neural networks to aid margin assessment.

BACKGROUND: Colorectal cancer is the third most commonly diagnosed malignancy and the second leading cause of mortality worldwide. A positive resection margin following surgery for colorectal cancer is linked with higher rates of local recurrence and poorer survival. The authors investigated diffuse reflectance spectroscopy (DRS) to distinguish tumour and non-tumour tissue in ex-vivo colorectal specimens, to aid margin assessment and provide augmented visual maps to the surgeon in real-time. METHODS: Patients undergoing elective colorectal cancer resection surgery at a London-based hospital were prospectively recruited. A hand-held DRS probe was used on the surface of freshly resected ex-vivo colorectal tissue. Spectral data were acquired for tumour and non-tumour tissue. Binary classification was achieved using conventional machine learning classifiers and a convolutional neural network (CNN), which were evaluated in terms of sensitivity, specificity, accuracy and the area under the curve. RESULTS: A total of 7692 mean spectra were obtained for tumour and non-tumour colorectal tissue. The CNN-based classifier was the best performing machine learning algorithm, when compared to contrastive approaches, for differentiating tumour and non-tumour colorectal tissue, with an overall diagnostic accuracy of 90.8% and area under the curve of 96.8%. Live on-screen classification of tissue type was achieved using a graduated colourmap. CONCLUSION: A high diagnostic accuracy for a DRS probe and tracking system to differentiate ex-vivo tumour and non-tumour colorectal tissue in real-time with on-screen visual feedback was highlighted by this study. Further in-vivo studies are needed to ensure integration into a surgical workflow.

A protocol for a pilot study to assess the feasibility of a randomised clinical trial of perioperative intravenous lidocaine on colorectal cancer outcome after surgery (FLICOR trial).

Background: Cancer recurrence after curative cancer surgery significantly impacts patients and healthcare services. Before surgery, a small number of clinically undetectable circulating tumour cells are often present. The surgical stress response promotes the distribution and proliferation of circulating tumour cells leading to cancer recurrence and metastasis. Preclinical evidence suggests that lidocaine may exert 'anti-cancer' effects and alleviate pro-metastatic environments. The Feasibility Study of Lidocaine Infusion During Bowel Cancer Surgery for Cancer Outcome (FLICOR) will assess the feasibility of conducting a clinical trial on perioperative intravenous lidocaine infusion for postoperative colorectal cancer outcomes. Methods: The study is a double-blinded, randomised, controlled pilot study for a full trial comparing intravenous lidocaine administration at 1.5 mg kg-1 bolus followed by 1.5 mg kg-1 h-1 infusion for 24 h with placebo in patients undergoing minimally invasive (laparoscopy or robotic) colorectal cancer surgery. The feasibility of data collection instruments will be measured, including those for future economic evaluation and clinical and patient-reported outcomes. For the exploratory outcomes, blood samples will be collected before and after surgery on days 0, 1, and 3. Recruitment is planned for two NHS Trusts over 6 months with a 12-month follow-up. Patients and clinicians will be asked for their feedback on the study process. Dissemination plan: Study data will be disseminated to trial participants, the public, and academic communities. The work will be presented at national and international conferences to stimulate interest and enthusiasm for centres to participate in the future definitive trial. This research will also be published in peer-reviewed open-access journals. Clinical trial registration: ISRCTN29594895 (ISRCTN), NCT05250791 (ClinicalTrials.gov). Protocol version number and date: 3.0, February 8, 2023.

Prevalence and predictors of benevolent childhood experiences among a representative sample of young people.

Emerging research evidence suggests that benevolent childhood experiences (BCEs) may partly explain more favourable mental health outcomes among individuals affected by adverse childhood experiences (ACEs). However, much of this research has focused on adult populations. Consequently, this study sought to provide the first rigorous assessment of the prevalence and predictors of BCEs using a nationally representative sample of young people from Northern Ireland (NI). Participants were 11-19-years-olds (N = 1293) who participated in the NI Youth Wellbeing Prevalence Survey (NI-YWS, 2020). Prevalence rates, gender differences and predictors of BCEs were investigated. Results revealed how most of the sample experienced multiple BCEs (95%, n = 1084), with females reporting higher levels of BCEs. Significant positive predictors of BCEs were female gender, parental education, living with both biological parents, and living in areas with lower deprivation, while significant negative predictors of BCEs included family being in receipt of social welfare and older age. Overall, this study highlights how BCEs are common, while the identification of factors associated with likelihood of having positive experiences during early development provides novel insights into those young people who may be at greater risk for maladaptive psychological outcomes.

Exploring the effects of socio-economic inequalities on health and disability in Northern Irish adolescents: evidence from a nationally representative longitudinal study.

Although a negative association between socio-economic inequalities and health has been established, there is a dearth of robust longitudinal studies examining this relationship in adolescents. This study used a large, nationally representative longitudinal data set to investigate the association between socio-economic inequality, subjective health status and disabilities among young people in Northern Ireland over a ten-year period. Data were from the Northern Ireland Longitudinal Study, a census-based record linkage study (N = 46,535). Logistic regression models were estimated in which health and disability variables from the 2011 census were predicted by household deprivation in education, housing quality, housing tenure and employment from the 2001 census. Models were adjusted for health and disability status in 2001. Deprivation in employment, housing tenure and coming from a single-parent household in 2001 independently predicted poorer subjective health and disability status ten years later [ORs = 1.28-1.93]. Deprivation in education in 2001 was also associated with increased risk of disability in 2011 [OR = 1.15; 95% CI = 1.06-1.25]. These results show that there is a need to dedicate more resources and support for economically disadvantaged children and young people in Northern Ireland, where child health outcomes are poorer than in the rest of the UK.

Tracking the psychological and socio-economic impact of the COVID-19 pandemic in the UK: A methodological report from Wave 5 of the COVID-19 Psychological Research Consortium (C19PRC) Study.

OBJECTIVES: The COVID-19 Psychological Research Consortium (C19PRC) Study was established in March 2020 to monitor the psychological and socio-economic impact of the pandemic in the UK and other countries. This paper describes the protocol for Wave 5 (March-April 2021). METHODS: The survey assessed: COVID-19 related experiences; experiences of common mental health disorders; psychological characteristics; and social and political attitudes. Adults who participated in any previous wave (N = 4949) were re-invited to participate. Weights were calculated using a survey raking algorithm to ensure the longitudinal panel was nationally representative in terms of gender, age, and household income, amongst other factors. RESULTS: Overall, 2520 adults participated. A total of 2377 adults who participated in the previous survey wave (November-December 2020) were re-interviewed at Wave 5 (61.5% retention rate). Attrition between these two waves was predicted by younger age, lower household income, children living in the household, and treatment for mental health difficulties. Of the adults recruited into the C19PRC study at baseline, 57.4% (N = 1162) participated in Wave 5. The raking procedure re-balanced the longitudinal panel to within 1.5% of population estimates for selected socio-demographic characteristics. CONCLUSION: This paper outlines the growing strength of the publicly available C19PRC Study data for COVID-19-related interdisciplinary research.

Testing both affordability-availability and psychological-coping mechanisms underlying changes in alcohol use during the COVID-19 pandemic.

Two theoretical perspectives have been proffered to explain changes in alcohol use during the pandemic: the 'affordability-availability' mechanism (i.e., drinking decreases due to changes in physical availability and/or reduced disposable income) and the 'psychological-coping' mechanism (i.e., drinking increases as adults attempt to cope with pandemic-related distress). We tested these alternative perspectives via longitudinal analyses of the COVID-19 Psychological Consortium (C19PRC) Study data (spanning three timepoints during March to July 2020). Respondents provided data on psychological measures (e.g., anxiety, depression, posttraumatic stress, paranoia, extraversion, neuroticism, death anxiety, COVID-19 anxiety, intolerance of uncertainty, resilience), changes in socio-economic circumstances (e.g., income loss, reduced working hours), drinking motives, solitary drinking, and 'at-risk' drinking (assessed using a modified version of the AUDIT-C). Structural equation modelling was used to determine (i) whether 'at-risk' drinking during the pandemic differed from that recalled before the pandemic, (ii) dimensions of drinking motives and the psychosocial correlates of these dimensions, (iii) if increased alcohol consumption was predicted by drinking motives, solitary drinking, and socio-economic changes. The proportion of adults who recalled engaging in 'at-risk' drinking decreased significantly from 35.9% pre-pandemic to 32.0% during the pandemic. Drinking to cope was uniquely predicted by experiences of anxiety and/or depression and low resilience levels. Income loss or reduced working hours were not associated with coping, social enhancement, or conformity drinking motives, nor changes in drinking during lockdown. In the earliest stage of the pandemic, psychological-coping mechanisms may have been a stronger driver to changes in adults' alcohol use than 'affordability-availability' alone.

A longitudinal assessment of depression and anxiety in the Republic of Ireland before and during the COVID-19 pandemic.

Few studies have examined changes in mental health before and after the outbreak of COVID-19. We examined changes in the prevalence of major depression and generalized anxiety disorder (GAD) between February 2019 and March-April 2020; if there were changes in major depression and GAD during six weeks of nationwide lockdown; and we identified factors that predicted major depression and GAD across the six-week lockdown period. Nationally representative samples of Irish adults were gathered using identical methods in February 2019 (N = 1020) and March-April 2020 (N = 1041). The latter was reassessed six weeks later. Significantly more people screened positive for depression in February 2019 (29.8% 95% CI = 27.0, 32.6) than in March-April 2020 (22.8% 95% CI = 20.2, 25.3), and there was no change in GAD. There were no significant changes in depression and GAD during the lockdown. Major depression was predicted by younger age, non-city dwelling, lower resilience, higher loneliness, and higher somatic problems. GAD was predicted by a broader set of variables including several COVID-19 specific variables. These findings indicate that the prevalence of major depression and GAD did not increase as a result of, or during the early phase of the COVID-19 pandemic in Ireland.

Pandemic buying: Testing a psychological model of over-purchasing and panic buying using data from the United Kingdom and the Republic of Ireland during the early phase of the COVID-19 pandemic.

The over-purchasing and hoarding of necessities is a common response to crises, especially in developed economies where there is normally an expectation of plentiful supply. This behaviour was observed internationally during the early stages of the Covid-19 pandemic. In the absence of actual scarcity, this behaviour can be described as 'panic buying' and can lead to temporary shortages. However, there have been few psychological studies of this phenomenon. Here we propose a psychological model of over-purchasing informed by animal foraging theory and make predictions about variables that predict over-purchasing by either exacerbating or mitigating the anticipation of future scarcity. These variables include additional scarcity cues (e.g. loss of income), distress (e.g. depression), psychological factors that draw attention to these cues (e.g. neuroticism) or to reassuring messages (eg. analytical reasoning) or which facilitate over-purchasing (e.g. income). We tested our model in parallel nationally representative internet surveys of the adult general population conducted in the United Kingdom (UK: N = 2025) and the Republic of Ireland (RoI: N = 1041) 52 and 31 days after the first confirmed cases of COVID-19 were detected in the UK and RoI, respectively. About three quarters of participants reported minimal over-purchasing. There was more over-purchasing in RoI vs UK and in urban vs rural areas. When over-purchasing occurred, in both countries it was observed across a wide range of product categories and was accounted for by a single latent factor. It was positively predicted by household income, the presence of children at home, psychological distress (depression, death anxiety), threat sensitivity (right wing authoritarianism) and mistrust of others (paranoia). Analytic reasoning ability had an inhibitory effect. Predictor variables accounted for 36% and 34% of the variance in over-purchasing in the UK and RoI respectively. With some caveats, the data supported our model and points to strategies to mitigate over-purchasing in future crises.

Monitoring the psychological, social, and economic impact of the COVID-19 pandemic in the population: Context, design and conduct of the longitudinal COVID-19 psychological research consortium (C19PRC) study.

OBJECTIVES: The C19PRC study aims to assess the impact of the COVID-19 pandemic in the adult population of the UK, Republic of Ireland, and Spain. This paper describes the conduct of the first two waves of the UK survey (the "parent" strand of the Consortium) during March-April 2020. METHODS: A longitudinal, internet panel survey was designed to assess: (1) COVID-19 related knowledge, attitudes, and behaviors; (2) the occurrence of common mental health disorders as well as the role of (3) psychological factors and (4) social and political attitudes, in influencing the public's response to the pandemic. Quota sampling (age, sex, and household income) was used to recruit a nationally representative sample of adults. RESULTS: Two thousand and twenty five adults were recruited at baseline, and 1406 were followed-up one-month later (69.4% retention rate). The baseline sample was representative of the UK population in relation to economic activity, ethnicity, and household composition. Attrition was predicted by key socio-demographic characteristics, and an inverse probability weighting procedure was employed to ensure the follow-up sample was representative of the baseline sample. CONCLUSION: The C19PRC study data has strong generalizability to facilitate and stimulate interdisciplinary research on important public health questions relating to the COVID-19 pandemic.

Sharing data to better understand one of the world's most significant shared experiences: data resource profile of the longitudinal COVID-19 psychological research consortium (C19PRC) study.

This paper serves to alert IJPDS readers to the availability of a major new longitudinal survey data resource, the COVID-19 Psychological Research Consortium (C19PRC) Study, which is being released for secondary use via the Open Science Framework. The C19PRC Study is a rich and detailed dataset that provides a convenient and valuable foundation from which to study the social, political, and health status of European adults during an unprecedented time of change as a direct result of the COVID-19 pandemic and Brexit. Here, we provide an overview of the C19PRC Study design, with the purpose of stimulating interest about the study among social scientists and maximising use of this resource.

Rates and predictors of anti-depressant prescribing in Northern Ireland 2011-2015: a data linkage study using the Administrative Data Research Centre (NI).

OBJECTIVES: Research indicates that anti-depressant prescribing is higher in Northern Ireland (NI) than in the rest of the UK, and that socio-economic and area-level factors may contribute to this. The current study provides comprehensive population-based estimates of the prevalence of anti-depressant prescription prescribing in NI from 2011 to 2015, and examined the associations between socio-demographic, socio-economic, self-reported health and area-level factors and anti-depressant prescription. METHODS: Data were derived from the 2011 NI Census (N = 1 588 355) and the Enhanced Prescribing Database. Data linkage techniques were utilised through the Administrative Data Research Centre in NI. Prevalence rates were calculated and binary logistic analysis assessed the associations between contextual factors and anti-depressant prescription. RESULTS: From 2011 to 2015, the percentages of the population in NI aged 16 or more receiving anti-depressant prescriptions were 12.3%, 12.9%, 13.4%, 13.9% and 14.3%, respectively, and over the 5-year period was 24.3%. The strongest predictors of anti-depressant prescription in the multivariate model specified were 'very bad' (OR = 4.02) or 'Bad' general health (OR = 3.98), and self-reported mental health problems (OR = 3.57). Other significant predictors included social renting (OR = 1.67) and unemployment (OR = 1.25). Protective factors included Catholic religious beliefs, other faith/philosophic beliefs and no faith/philosophic beliefs in comparison to reporting Protestant/other Christian religious beliefs (ORs = 0.78-0.91). CONCLUSION: The prevalence of anti-depressant prescription in NI appears to be higher than the prevalence of depressive disorders, although this may not necessarily be attributable to over-prescribing as anti-depressants are also prescribed for conditions other than depression. Anti-depressant prescription was linked to several factors that represent socio-economic disadvantage.

An assessment of the construct validity of the ICD-11 proposal for complex posttraumatic stress disorder.

BACKGROUND: A new diagnosis, complex posttraumatic stress disorder (CPTSD), is set to be introduced in the 11th revision to the International Classification of Diseases (ICD-11). Studies have supported a unique group of trauma-exposed individuals who exhibit symptoms consistent with CPTSD proposals. No studies have yet tested the proposed latent symptom structure of CPTSD proposed for ICD-11. This study tests the factorial validity of CPTSD and assesses the role of a range of risk factors to predict CPTSD. METHOD: A large sample (N = 453) of treatment-seeking adult victims of childhood sexual abuse completed self-report measures of CPTSD. Confirmatory factor analysis (CFA) was used to compare a set of alternative factor models of CPTSD. RESULTS: Just less than half of the sample met the diagnostic criteria for CPTSD (42.8%). CFA results supported the factorial validity of the ICD-11 proposals for CPTSD. Being female and experiencing a greater number of sexual abuse acts during childhood were more strongly associated with PTSD than CPTSD symptoms. Regarding symptoms, anxiety was more strongly associated with PTSD than CPTSD, whereas higher levels of dysthymia were more strongly associated with CPTSD than PTSD symptoms. CONCLUSIONS: Results provide initial evidence regarding the factorial validity of the proposed ICD-11 model of CPTSD. In addition, current results support the proposals of the ICD-11 that exposure to abuse during early development is associated with a greater likelihood of CPTSD than PTSD. The study contributes to a growing body of empirical data supporting the construct validity of CPTSD as a unique diagnostic entity. (PsycINFO Database Record

Assessment of female patients with rectal intussusception and prolapse: is this a progressive spectrum of disease?

BACKGROUND: Rectal intussusception may be the initial abnormality of a progressive pelvic floor disorder culminating in external prolapse. The evidence, however, is unclear, and the pathophysiological mechanisms underlying this condition are unknown. OBJECTIVE: The aim of this study is to identify the relationship between age, symptom duration, anorectal physiology parameters, and type of intussusception/prolapse in order to appreciate the natural history of the condition. DESIGN: All female patients diagnosed proctographically with rectorectal/rectoanal intussusception or external prolapse between 1994 and 2007 were studied. Demographics, symptom duration, and anorectal physiology results were compared between these proctographic groups. Patients with repeat proctographic evaluation were also analyzed separately. SETTINGS: This investigation was conducted at a tertiary academic colorectal center. PATIENTS: A total of 1014 women (median age, 51; range, 16-96), including 32 who underwent repeat proctography, were analyzed. MAIN OUTCOME MEASURES: The primary outcomes measured were the differences in median age, symptom duration, and anorectal physiology parameters between the proctographic groups. RESULTS: The cohort exhibited a statistically significant difference (p = 0.0001) in the median age of the proctographic groups with older patients diagnosed with rectoanal rather than rectorectal intussusception, which was supported by uni- and multivariate modeling. Symptom duration was statistically different (p = 0.0002) between the rectorectal intussusception (60 months; range, 1-936) and external rectal prolapse patient groups (36 months; range, 2-732). Patients with external rectal prolapse had statistically lower anal resting (median, 41 versus 77 cmH2O) and squeeze pressures (median 40 versus 56 cmH2O) than patients with rectorectal intussusception. Within 2 years, 19.2% and 3.8% of patients with rectorectal intussusception on the initial proctogram demonstrated progression to rectoanal intussusception and external prolapse. LIMITATIONS: This study was limited by its retrospective nature. CONCLUSION: Rectal intussusception may be an initial abnormality leading to external prolapse, but this appears to happen infrequently. Long-term observational studies are required to fully understand its natural history.

An assessment of the demographic and clinical correlates of the dimensions of alcohol use behaviour.

AIMS: To identify population-based clinical and demographic correlates of alcohol use dimensions. METHODS: Using data from a population-based sample of Great Britain (n = 7849), structural equation modelling (SEM) was used to identify associations between demographic and clinical variables and two competing dimensional models of the Alcohol Use Disorders Identification Test (AUDIT). RESULTS: A two-factor SEM fit best. In this model, Factor 1, alcohol consumption, was associated with male sex, younger age, lower educational attainment, generalized anxiety disorder (GAD) and suicide attempts. Factor 2, alcohol-related problems, was associated with the demographic variables (to a lesser extent) and to a wider range of clinical variables, including depressive episode, GAD, mixed anxiety and depressive disorder, obsessive compulsive disorder, phobia, suicidal thoughts and suicide attempts. The one-factor SEM was associated with demographic and all assessed clinical correlates; however, this model did not fit the data well. CONCLUSIONS: Two main conclusions justify the two-factor approach to alcohol use classification. First, the model fit was considerably superior and, second, the dimensions of alcohol consumption and alcohol-related problems vary considerably in their associations with measures of demographic and clinical risk. A one-factor representation of alcohol use, for instance, would fail to recognize that measures of affective/anxiety disorders are more consistently related to alcohol-related problems than to alcohol consumption. It is suggested therefore that to fully understand the complexity of alcohol use behaviour and its associated risk, future research should acknowledge the basic underlying dimensional structure of the construct.