General access to cubanes as benzene bioisosteres.

The replacement of benzene rings with sp3-hybridized bioisosteres in drug candidates generally improves pharmacokinetic properties while retaining biological activity1-5. Rigid, strained frameworks such as bicyclo[1.1.1]pentane and cubane are particularly well suited as the ring strain imparts high bond strength and thus metabolic stability on their C-H bonds. Cubane is the ideal bioisostere as it provides the closest geometric match to benzene6,7. At present, however, all cubanes in drug design, like almost all benzene bioisosteres, act solely as substitutes for mono- or para-substituted benzene rings1-7. This is owing to the difficulty of accessing 1,3- and 1,2-disubstituted cubane precursors. The adoption of cubane in drug design has been further hindered by the poor compatibility of cross-coupling reactions with the cubane scaffold, owing to a competing metal-catalysed valence isomerization8-11. Here we report expedient routes to 1,3- and 1,2-disubstituted cubane building blocks using a convenient cyclobutadiene precursor and a photolytic C-H carboxylation reaction, respectively. Moreover, we leverage the slow oxidative addition and rapid reductive elimination of copper to develop C-N, C-C(sp3), C-C(sp2) and C-CF3 cross-coupling protocols12,13. Our research enables facile elaboration of all cubane isomers into drug candidates, thus enabling ideal bioisosteric replacement of ortho-, meta- and para-substituted benzenes.

Development of a General Organophosphorus Radical Trap: Deoxyphosphonylation of Alcohols.

Here we report the design of a general, redox-switchable organophosphorus alkyl radical trap that enables the synthesis of a broad range of C(sp3)-P(V) modalities. This "plug-and-play" approach relies upon in situ activation of alcohols and O═P(R2)H motifs, two broadly available and inexpensive sources of molecular complexity. The mild, photocatalytic deoxygenative strategy described herein allows for the direct conversion of sugars, nucleosides, and complex pharmaceutical architectures to their organophosphorus analogs. This includes the facile incorporation of medicinally relevant phosphonate ester prodrugs.

Alkyl Cyclopropyl Ketones in Catalytic Formal [3 + 2] Cycloadditions: The Role of SmI2 Catalyst Stabilization.

Alkyl cyclopropyl ketones are introduced as versatile substrates for catalytic formal [3 + 2] cycloadditions with alkenes and alkynes and previously unexplored enyne partners, efficiently delivering complex, sp3-rich products. The key to effectively engaging this relatively unreactive new substrate class is the use of SmI2 as a catalyst in combination with substoichiometric amounts of Sm0; the latter likely acting to prevent catalyst deactivation by returning SmIII to the catalytic cycle. In the absence of Sm0, background degradation of the SmI2 catalyst can outrun product formation. For the most recalcitrant alkyl cyclopropyl ketones, catalysis is "switched-on" using these new robust conditions, and otherwise unattainable products are delivered. Combined experimental and computational studies have been used to identify and probe reactivity trends among alkyl cyclopropyl ketones, including more complex bicyclic alkyl cyclopropyl ketones, which react quickly with various partners to give complex products. In addition to establishing alkyl cyclopropyl ketones as a new substrate class in a burgeoning field of catalysis, our study provides vital mechanistic insight and robust, practical approaches for the nascent field of catalysis with SmI2.

Variability in the prevalence of depression among adults with chronic pain: UK Biobank analysis through clinical prediction models.

BACKGROUND: The prevalence of depression among people with chronic pain remains unclear due to the heterogeneity of study samples and definitions of depression. We aimed to identify sources of variation in the prevalence of depression among people with chronic pain and generate clinical prediction models to estimate the probability of depression among individuals with chronic pain. METHODS: Participants were from the UK Biobank. The primary outcome was a "lifetime" history of depression. The model's performance was evaluated using discrimination (optimism-corrected C statistic) and calibration (calibration plot). RESULTS: Analyses included 24,405 patients with chronic pain (mean age 64.1 years). Among participants with chronic widespread pain, the prevalence of having a "lifetime" history of depression was 45.7% and varied (25.0-66.7%) depending on patient characteristics. The final clinical prediction model (optimism-corrected C statistic: 0.66; good calibration on the calibration plot) included age, BMI, smoking status, physical activity, socioeconomic status, gender, history of asthma, history of heart failure, and history of peripheral artery disease. Among participants with chronic regional pain, the prevalence of having a "lifetime" history of depression was 30.2% and varied (21.4-70.6%) depending on patient characteristics. The final clinical prediction model (optimism-corrected C statistic: 0.65; good calibration on the calibration plot) included age, gender, nature of pain, smoking status, regular opioid use, history of asthma, pain location that bothers you most, and BMI. CONCLUSIONS: There was substantial variability in the prevalence of depression among patients with chronic pain. Clinically relevant factors were selected to develop prediction models. Clinicians can use these models to assess patients' treatment needs. These predictors are convenient to collect during daily practice, making it easy for busy clinicians to use them.

A gene pathogenicity tool "GenePy" identifies missed biallelic diagnoses in the 100,000 Genomes Project.

PURPOSE: The 100,000 Genomes Project diagnosed a quarter of affected participants, but 26% of diagnoses were not on the applied gene panel(s); with many being de novo variants. Assessing biallelic variants without a gene panel is more challenging. METHODS: We sought to identify missed biallelic diagnoses using GenePy, which incorporates allele frequency, zygosity, and a user-defined deleterious metric, generating an aggregate GenePy score per gene, per participant. We calculated GenePy scores for 2862 recessive disease genes in 78,216 100,000 Genomes Project participants. For each gene, we ranked participant GenePy scores and scrutinized affected participants without a diagnosis, whose scores ranked among the top 5 for each gene. In cases which participant phenotypes overlapped with the disease gene of interest, we extracted rare variants and applied phase, ClinVar, and ACMG classification. RESULTS: 3184 affected individuals without a molecular diagnosis had a top-5-ranked GenePy score and 682 of 3184 (21%) had phenotypes overlapping with a top-ranking gene. In 122 of 669 (18%) phenotype-matched cases (excluding 13 withdrawn participants), we identified a putative missed diagnosis (2.2% of all undiagnosed participants). A further 334 of 669 (50%) cases have a possible missed diagnosis but require functional validation. CONCLUSION: Applying GenePy at scale has identified 456 potential diagnoses, demonstrating the value of novel diagnostic strategies.

Using machine learning to impact on long-term clinical care: principles, challenges, and practicalities.

The rise of machine learning in healthcare has significant implications for paediatrics. Long-term conditions with significant disease heterogeneity comprise large portions of the routine work performed by paediatricians. Improving outcomes through discovery of disease and treatment prediction models, alongside novel subgroup clustering of patients, are some of the areas in which machine learning holds significant promise. While artificial intelligence has percolated into routine use in our day to day lives through advertising algorithms, song or movie selections and sifting of spam emails, the ability of machine learning to utilise highly complex and dimensional data has not yet reached its full potential in healthcare. In this review article, we discuss some of the foundations of machine learning, including some of the basic algorithms. We emphasise the importance of correct utilisation of machine learning, including adequate data preparation and external validation. Using nutrition in preterm infants and paediatric inflammatory bowel disease as examples, we discuss the evidence and potential utility of machine learning in paediatrics. Finally, we review some of the future applications, alongside challenges and ethical considerations related to application of artificial intelligence. IMPACT: Machine learning is a widely used term; however, understanding of the process and application to healthcare is lacking. This article uses clinical examples to explore complex machine learning terms and algorithms. We discuss limitations and potential future applications within paediatrics and neonatal medicine.

The Pediatric Crohn Disease Morbidity Index (PCD-MI): Development of a Tool to Assess Long-Term Disease Burden Using a Data-Driven Approach.

BACKGROUND/OBJECTIVE: Heterogeneity and chronicity of Crohn disease (CD) make prediction of outcomes difficult. To date, no longitudinal measure can quantify burden over a patient's disease course, preventing assessment and integration into predictive modeling. Here, we aimed to demonstrate the feasibility of constructing a data driven, longitudinal disease burden score. METHODS: Literature was reviewed for tools used in assessment of CD activity. Themes were identified to construct a pediatric CD morbidity index (PCD-MI). Scores were assigned to variables. Data were extracted automatically from the electronic patient records at Southampton Children's Hospital, diagnosed from 2012 to 2019 (inclusive). PCD-MI scores were calculated, adjusted for duration of follow up and assessed for variation (ANOVA) and distribution (Kolmogorov-Smirnov). RESULTS: Nineteen clinical/biological features across five themes were included in the PCD-MI including blood/fecal/radiological/endoscopic results, medication usage, surgery, growth parameters, and extraintestinal manifestations. Maximal score was 100 after accounting for follow-up duration. PCD-MI was assessed in 66 patients, mean age 12.5 years. Following quality filtering, 9528 blood/fecal test results and 1309 growth measures were included. Mean PCD-MI score was 14.95 (range 2.2-32.5); data were normally distributed ( P = 0.2) with 25% of patients having a PCD-MI < 10. There was no difference in the mean PCD-MI when split by year of diagnosis, F -statistic 1.625, P = 0.147. CONCLUSIONS: PCD-MI is a calculatable measure for a cohort of patients diagnosed over an 8-year period, integrating a wide-range of data with potential to determine high or low disease burden. Future iterations of the PCD-MI require refinement of included features, optimized scores, and validation on external cohorts.

Optimal cut-offs of depression screening tools during the COVID-19 pandemic: a systematic review.

BACKGROUND: Studies have reported an increase in the prevalence of depression during the COVID-19 pandemic. The accuracy of screening tools may change with the prevalence and distribution of a disease in a population or sample: the "Spectrum Effect". METHODS: First, we selected commonly used screening tools and developed search strategies for the inclusion of original studies during the pandemic. Second, we searched PsycINFO, EMBASE, and MEDLINE from March 2020 to September 2022 to obtain original studies that investigated the accuracy of depression screening tools during the pandemic. We then searched these databases to identify meta-analyses summarizing the accuracy of these tools conducted before the pandemic and compared the optimal cut-offs for depression screening tools during the pandemic with those before. RESULT: Four original studies evaluating the optimal cut-offs for four screening tools (Beck Depression Inventory [BDI-II], Hospital Anxiety and Depression Scale-Depression [HADS-D], Patient Health Questionnaire-9 [PHQ-9], and Geriatric Depression Scale-4 [GDS-4]) were published during the pandemic. Four meta-analyses summarizing these tools before the pandemic. We found that the optimal cut-off of BDI-II was 14 during the pandemic (23.8% depression prevalence, screening patients with Type 2 diabetes) and 14.5 before the pandemic (17.6% depression prevalence, screening psychiatric, primary care, and healthy populations); HADS-D was 10 during the pandemic (23.8% depression prevalence, screening patients with type 2 diabetes) and 7 before the pandemic (15.0% depression prevalence, screening medically ill patients); PHQ-9 was 11 during the pandemic (14.5% depression prevalence, screening university students) and 8 before the pandemic (10.9% depression prevalence, screening the unrestricted population), and GDS-4 was 1.8 during the pandemic (29.0% depression prevalence, screening adults seen in a memory clinic setting) and 3 before the pandemic (18.5% depression prevalence, screening older adults). CONCLUSION: The optimal cut-off for different screening tools may be sensitive to changes in study populations and reference standards. And potential spectrum effects that should be considered in post-COVID time which aiming to improve diagnostic accuracy.

A scoping review: urinary markers of metabolic maturation in infants with CHD and the relationship to growth.

BACKGROUND: Growth failure in infants born with CHD is a persistent problem, even in those provided with adequate nutrition. OBJECTIVE: To summarise the published data describing the change in urinary metabolites during metabolic maturation in infants with CHD and identify pathways amenable to therapeutic intervention. DESIGN: Scoping review. ELIGIBILITY CRITERIA: Studies using qualitative or quantitative methods to describe urinary metabolites pre- and post-cardiac surgery and the relationship with growth in infants with CHD. SOURCES OF EVIDENCE: NICE Healthcare Databases website was used as a tool for multiple searches. RESULTS: 347 records were identified, of which 37 were duplicates. Following the removal of duplicate records, 310 record abstracts and titles were screened for inclusion. The full texts of eight articles were reviewed for eligibility, of which only two related to infants with CHD. The studies included in the scoping review described urinary metabolites in 42 infants. A content analysis identified two overarching themes of metabolic variation predictive of neurodevelopmental abnormalities associated with anaerobic metabolism and metabolic signature associated with the impact on gut microbiota, inflammation, energy, and lipid digestion. CONCLUSION: The results of this scoping review suggest that there are considerable gaps in our knowledge relating to metabolic maturation of infants with CHD, especially with respect to growth. Surgery is a key early life feature for CHD infants and has an impact on the developing biochemical phenotype with implications for metabolic pathways involved in immunomodulation, energy, gut microbial, and lipid metabolism. These early life fingerprints may predict those individuals at risk for neurodevelopmental abnormalities.

Sulfonium Salts as Acceptors in Electron Donor-Acceptor Complexes.

The photoactivation of electron donor-acceptor complexes has emerged as a sustainable, selective and versatile strategy for the generation of radical species. Electron donor-acceptor (EDA) complexation, however, imposes electronic constraints on the donor and acceptor components and this can limit the range of radicals that can be generated using the approach. New EDA complexation strategies exploiting sulfonium salts allow radicals to be generated from native functionality. For example, aryl sulfonium salts, formed by the activation of arenes, can serve as the acceptor components in EDA complexes due to their electron-deficient nature. This "sulfonium tag" approach relaxes the electronic constraints on the parent substrate and dramatically expands the range of radicals that can be generated using EDA complexation. In this review, these new applications of sulfonium salts will be introduced and the areas of chemical space rendered accessible through this innovation will be highlighted.

Engagement in Prescription Opioid Tapering Research: the EMPOWER Study and a Coproduction Model of Success.

Patients with chronic pain experience stigma within the healthcare system. This stigma is compounded for those taking long-term prescription opioids. Often, public messaging and organizational policies have telegraphed that opioid treatment is a problem to be solved by focusing only on medication reduction efforts. Lack of data has contributed to misperceptions and poor opioid policies. In part, data collection remains poor because patients feel fractured from systems of care and are often not interested in engaging with opioid reduction mandates and research. Similarly, clinicians may fail to engage with opioid stewardship and research due to complexities that exceed their training or capacities. The EMPOWER study applies a coproduction model that engages researchers, patients, clinicians, managers, and other health system users. Key stakeholders shaped the design of the study to best ensure acceptability and engagement of the "end users"-patients who enroll in the study and the clinicians who implement the opioid tapers. Targeting the needs of any stakeholder group in isolation is suboptimal. Accordingly, we detail the EMPOWER patient-centered opioid tapering clinical research framework and specific strategies to address stakeholder concerns. We also discuss how this framework may be applied to enhance engagement in healthcare research broadly.

The Influence of the Introduction of Biologic Agents on Surgical Intervention in Paediatric Inflammatory Bowel Disease.

OBJECTIVES: To determine how the use of biological therapy is associated with surgical intervention for paediatric inflammatory bowel disease (PIBD) at a population level. METHODS: Hospital Episode Statistics data were obtained for all admissions within England (1997-2015), in children aged 0-18 years, with an ICD-10 code for diagnosis of Crohn disease (CD), ulcerative colitis (UC), or inflammatory bowel disease-unclassified (IBD-U). Office of Population Censuses and Surveys Classification of Surgical Operations and Procedures codes for major surgical resection associated with PIBD and for biological therapy were also obtained. Data are presented as median values (interquartile range). RESULTS: In total, 22,645 children had a diagnosis of PIBD of which 13,722 (61%) had CD, 7604 (34%) had UC, and 1319 (5.8%) cases had IBD-U. Biological therapy was used in 4054 (17.9%) cases. Surgical resection was undertaken in 3212 (14%) cases, more commonly for CD than UC (17.5 vs 10.3%, P < 0.0001). Time from diagnosis to major surgical resection was 8.3 (1.2-28.2) months in CD and 8.2 (0.8-21.3) months in UC. As the time-frame of the dataset progressed, there was a decreased rate of surgical intervention ( P = 0.04) and an increased use of biological therapy ( P < 0.0001). Additionally, the number of new diagnoses of PIBD increased. CONCLUSIONS: The introduction of biologic agents has been associated with a reduction in cases undergoing surgery in children with a known diagnosis of PIBD. As time progresses we will be able to determine whether biological therapies prevent the need for surgery altogether or just delay this until adulthood.

Incidence and Prevalence of Paediatric Inflammatory Bowel Disease Continues to Increase in the South of England.

OBJECTIVE: The incidence of paediatric inflammatory bowel disease (IBD) has been increasing over 25 years; however, contemporary trends are not established and the impact of COVID-19 on case rates is unclear. METHODS: Data from Southampton Children's hospital prospective IBD database were retrieved for 2002-2021. Incidence rates were calculated based on referral area populations and temporal trends analysed. Disease prevalence for those aged <18 years was calculated for 2017-2021. Monoclonal prescriptions were reported. RESULTS: In total, 1150 patients were included (mean age at diagnosis 12.63 years, 40.5% female). An estimated 704 patients had Crohn's disease (61.2%), 385 had ulcerative colitis (33.5%), and 61 had IBD unclassified (5.3%). Overall IBD incidence increased, ß = 0.843, P = 3 × 10 -6 , driven by Crohn's disease, ß = 0.732, P = 0.00024 and ulcerative colitis, ß = 0.816, P = 0.000011. There was no change in IBDU incidence, ß = 0.230, P = 0.33. From 2002-2021, 51 patients were diagnosed <6 years of age, 160 patients aged 6 to <10 years and 939 patients aged 10 to <18 years of age. Increased incidence was observed in patients aged 10 to <18 years of age (ß = 0.888, P = 1.8 × 10 -7 ). There was no significant change in incidence of IBD in <6 years (ß = 0.124, P = 0.57), or 6 to <10 years (ß = 0.146, P = 0.54). IBD prevalence increased by an average of 1.71%/year from 2017 to 2021, ß = 0.979, P = 0.004. The number of new monoclonal prescriptions increased from 6 in 2007 to 111 in 2021. CONCLUSIONS: IBD incidence continues to increase in Southern England. Compounding prevalence and increased monoclonal usage has implications for service provision.

Transition Services for Paediatric Inflammatory Bowel Disease: A Multicentre Study of Practice in the United Kingdom.

OBJECTIVES: Patients with paediatric inflammatory bowel disease (IBD) constitute one of the largest cohorts requiring transition from paediatric to adult services. Standardised transition care improves short and long-term patient outcomes. This study aimed to detail the current state of transition services for IBD in the United Kingdom (UK). METHODS: We performed a nationwide study to ascertain current practice, facilities and resources for children and young people with IBD. Specialist paediatric IBD centres were invited to contribute data on: timing of transition/transfer of care; transition resources available including clinics, staff and patient information; planning for future improvement. RESULTS: Twenty of 21 (95%) of invited centres responded. Over 90% of centres began the transition process below 16 years of age and all had completed transfer to adult care at 18 years of age. The proportion of patients in the transition process at individual centres varied from 10% to 50%.Joint clinics were held in every centre, with a mean of 12.9 clinics per year. Adult and paediatric gastroenterologists attended at all sites. Availability of additional team members was patchy across the UK, with dietetic, psychological and surgical attendance available in <50% centres. A structured transition tool was used in 75% of centres. Sexual health, contraception and pregnancy were discussed by <60% of teams. CONCLUSIONS: This study provides real-world clinical data on UK-wide transition services. These data can be used to develop a national strategy to complement current transition guidelines, focused on standardising services whilst allowing for local implementation.

Growth failure is rare in a contemporary cohort of paediatric inflammatory bowel disease patients.

AIM: We assessed growth in a paediatric inflammatory bowel disease (PIBD) cohort. METHODS: Paediatric inflammatory bowel disease patients were eligible if they were diagnosed at Southampton Children's Hospital from 2011 to 2018. Weight and height standard deviation scores (SDS) were retrieved. Mean SDS values, SDS change and anti-TNF status were analysed at diagnosis and during follow-up. RESULTS: Four hundred and ninety patients were included, 313 with Crohn's disease (CD). CD patients presented with mean height SDS -0.13, -0.1 at 1-year, -0.11 at 2-years and -0.03 at 5 years, reflecting preserved linear growth. There was no significant height-SDS change from diagnosis to 5-year follow-up, +0.12, 95%-CI: 0.48 to -0.24. Mean weight-SDS at diagnosis was -0.39, driven by CD patients (-0.65). Mean weight-SDS approached 0 after 1 year and remained at the 50th centile throughout follow-up. Growth in ulcerative colitis was maintained. In multivariable regression males had worse height growth from diagnosis to transition (P = .036). Anti-TNF treatment (P = .013) and surgical resection (P = .005) were also associated with poorer linear growth. Patients treated with anti-TNF therapy had lower height-SDS compared to those never treated with anti-TNF at 1 year (-0.2 vs -0.01, P = .22), 2-years (-0.27 vs -0.01, P = .07) and 5 years (-0.21 vs 0.25, P = .051). CONCLUSION: Height was generally maintained in Crohn's disease, and impaired linear growth was rare in this cohort.

The impact of national lockdown on nutritional status of children with inflammatory bowel disease.

BACKGROUND: The COVID-19 pandemic has had wide-reaching primary and secondary health implications. The UK government implemented a national lockdown to slow the rate of infection at the end of March 2020, lasting until early summer 2020. The results from a UK nationwide survey suggest the majority of inflammatory bowel disease patients were followed up using technology-enabled care services (TECS) during this time. We therefore aimed to explore the impact of the pandemic on nutritional status of children with inflammatory bowel disease, focusing on the effect of national lockdown from March to early summer 2020. METHODS: A retrospective study was conducted. All patients with a diagnosis of inflammatory bowel disease, aged <18 years, and under the care of Southampton Children's Hospital were eligible for inclusion. Those patients who attended an outpatient appointment during time period 1 (November 2019 to February 2020), and following the period of national lockdown, time period 2 (July to November 2020), were included in the analysis. RESULTS: In total, 116 patients had paired measures. Using the World Health Organization criteria of nutritional status, 19% (n = 22/116) were mildly malnourished with a body mass index Z score (BMIZ) < -1. In this group, the mean BMIZ was -1.3 ± 0.9 at time point 1 versus -1.9 ± 0.9 at time point 2 (p = 0.03). The mean BMIZ score of those children who were overweight at time point 1 was 1.2 ± 1.2 versus 1.6 ± 1.4 at time point 2 (p = 0.2) During the period of lockdown, 27% of malnourished children (n = 6/22), 2% of normally nourished children (BMIZ > -1 to < 1) (n = 1/51) (p ≤ 0.0001) and none of the overweight children (BMIZ > 1) (n = 0/43) children (p ≤ 0.0001) had a TECS nutrition review. CONCLUSIONS: Dietetic reviews were severely restricted during the first national lockdown. Patients with low BMIZ prior to lockdown became more malnourished. During the ongoing pandemic, it is important to identify those children with nutrition risk, focusing support on this group of children.

Tetralogy of Fallot: stent palliation or neonatal repair?

Surgical repair of Tetralogy of Fallot has excellent outcomes, with over 90% of patients alive at 30 years. The ideal time for surgical repair is between 3 and 11 months of age. However, the symptomatic neonate with Tetralogy of Fallot may require earlier intervention: either a palliative intervention (right ventricular outflow tract stent, ductal stent, balloon pulmonary valvuloplasty, or Blalock-Taussig shunt) followed by a surgical repair later on, or a complete surgical repair in the neonatal period. Indications for palliation include prematurity, complex anatomy, small pulmonary artery size, and comorbidities. Given that outcomes after right ventricular outflow tract stent palliation are particularly promising - there is low mortality and morbidity, and consistently increased oxygen saturations and increased pulmonary artery z-scores - it is now considered the first-line palliative option. Disadvantages of right ventricular outflow tract stenting include increased cardiopulmonary bypass time at later repair and the stent preventing pulmonary valve preservation. However, neonatal surgical repair is associated with increased short-term complications and hospital length of stay compared to staged repair. Both staged repair and primary repair appear to have similar long-term mortality and morbidity, but more evidence is needed assessing long-term outcomes for right ventricular outflow tract stent palliation patients.

Immunological Profiling of Paediatric Inflammatory Bowel Disease Using Unsupervised Machine Learning.

OBJECTIVES: The current classification of inflammatory bowel disease (IBD) is based on clinical phenotypes, which is blind to the molecular basis of the disease. The aim of this study was to stratify a treatment-naïve paediatric IBD cohort through specific innate immunity pathway profiling and application of unsupervised machine learning (UML). METHODS: In order to test the molecular integrity of biological pathways implicated in IBD, innate immune responses were assessed at diagnosis in 22 paediatric patients and 10 age-matched controls. Peripheral blood mononuclear cells (PBMCs) were selectively stimulated for assessing the functionality of upstream activation receptors including NOD2, toll-like receptor (TLR) 1-2 and TLR4, and the downstream cytokine responses (IL-10, IL-1ß, IL-6, and TNF-α) using multiplex assays. Cytokine data generated were subjected to hierarchical clustering to assess for patient stratification. RESULTS: Combined immune responses in patients across 12 effector responses were significantly reduced compared with controls (P = 0.003) and driven primarily by "hypofunctional" TLR responses (P values 0.045, 0.010, and 0.018 for TLR4-mediated IL-10, IL-1ß, and TNF-α, respectively; 0.018 and 0.015 for TLR1-2 -mediated IL-10 and IL-1ß). Hierarchical clustering generated 3 distinct clusters of patients and a fourth group of "unclustered" individuals. No relationship was observed between the observed immune clusters and the clinical disease phenotype. CONCLUSIONS: Although a clinically useful outcome was not observed through hierarchical clustering, our study provides a rationale for using an UML approach to stratify patients. The study also highlights the predominance of hypo-inflammatory innate immune responses as a key mechanism in the pathogenesis of IBD.

Deprescribing long-term opioid therapy in patients with chronic pain.

Proposed regulatory changes will limit the access to opioids by Australian patients with chronic pain, many of whom are under the care of consultant physicians. This review summarises points of consensus on opioid deprescribing that emerged from the interaction of an expert panel and the audience at a symposium on the topic held in Sydney in 2019. Each of these consensus points speaks to the need for an individualised, patient-centred approach. In other words, 'treat the patient, not the pill count'.