National Institute For Health Research Research Articles

Comparison of the efficacy and safety of vertebroplasty with different pedicle approaches for osteoporotic vertebral.

To compare the efficacy and safety of vertebroplasty through different pedicle approaches in the treatment of osteoporotic vertebral compression fracture osteoporotic vertebral compression fractures (OVCF) by network meta-analysis. Pubmed, Embase, Cochrane Library, Web of Science. Database for literature retrieval, retrieval time from the establishment of the database to April 2023, the randomized controlled trials of unilateral vertebroplasty (UVP), bilateral vertebroplasty (BVP), unilateral kyphoplasty (UKP), bilateral kyphoplasty (BKP), curved vertebroplasty (CVP) and curved kyphoplasty (CKP) were screened, evaluated and the data were extracted and included in the analysis. STATA 15.0 and ReMan 5.3 were used for data analysis. This study was registered in the National Institute for Health Research (NIHR) with the registration number CRD42023405181. This study included 16 articles with a total of 1712 patients. The order of visual analogue scale (VAS) improvement from good to bad is CVP > BVP > UVP > CKP > BKP > UKP. The order of kyphotic angles improvement from good to bad is CKP > UKP > UKP > UVP > BVP > CVP. The order of bone cement injection from less to more is UVP > CVP > UKP > CKP > BVP > BKP. The order of bone cement leakage rate from less to more is CKP > CVP > UKP > BKP > UVP > BVP. The order of X-ray exposure time from less to more is CKP > CVP > UVP > BVP > UKP > BKP. The order of operation time from less to more is CVP > UVP > UKP > CKP > BVP > BKP. For patients with kyphotic angles, kyphoplasty has unique advantages in improving kyphotic angles. But generally speaking, curved approach can optimize the distribution of bone cement through unilateral approach to achieve the orthopedic effect of bilateral approach, which is a minimally invasive technique with better curative effect and higher safety in the treatment of OVCF.

Characteristics and career outcomes of dermatology-focused medical student research grant recipients

Although several dermatology-focused research grants for medical students exist, studies have yet to evaluate the outcomes of grant recipients, such as entry into dermatology residency and academic careers. We have described the characteristics of recipients of dermatology-focused medical student research grants and outcomes, including entry into dermatology residency and academic careers, and we have focused on seven dermatology-focused national and regional research grants eligible for U.S. medical students. Data were obtained from publicly available online sources for grants from 2004 to 2023. Of the 235 medical student recipients of dermatology research grants between 2004 and 2023, 45.5% attended one of the top 20 medical schools funded by National Institutes of Health research. Of those who completed medical school, 68.3% advanced to a dermatology residency (n=123/180). Among board-certified dermatologists, 44.7% held an academic position (n=34/76); among those who attended a top 20 medical school, 50% held an academic position (n=23/46) compared to 36.7% who did not (n=11/30). Limitations of this study include selection bias and incomplete data availability. Medical student research grants allow students to thoughtfully engage in dermatology research early in medical education. They may facilitate entry into dermatology residency and academic careers and lead to continued research endeavors.

The development of a set of key points to aid clinicians and researchers in designing and conducting n-of-1 trials

Introductionn-of-1 trials are undertaken to optimise the evaluation of health technologies in individual patients. They involve a single patient receiving treatments, both interventional and control, consecutively over set periods of time, the order of which is decided at random. Although n-of-1 trials are undertaken in medical research it could be argued they have the utility to be undertaken more frequently. We undertook the National Institute for Health Research (NIHR) commissioned DIAMOND (Development of generalisable methodology for n-of-1 trials delivery for very low volume treatments) project to develop key points to assist clinicians and researchers in designing and conducting n-of-1 trials.MethodsThe key points were developed by undertaking a stakeholder workshop, followed by a discussion within the study team and then a stakeholder dissemination and feedback event. The stakeholder workshop sought to gain the perspectives of a variety of stakeholders (including clinicians, researchers and patient representatives) on the design and use of n-of-1 trials. A discussion between the study team was held to reflect on the workshop and draft the key points. Lastly, the stakeholders from the workshop were invited to a dissemination and feedback session where the proposed key points were presented and their feedback gained.ResultsA set of 22 key points were developed based on the insights from the workshop and subsequent discussions. They provide guidance on when an n-of-1 trial might be a viable or appropriate study design and discuss key decisions involved in the design of n-of-1 trials, including determining an appropriate number of treatment periods and cycles, the choice of comparator, recommended approaches to randomisation and blinding, the use of washout periods and approaches to analysis.ConclusionsThe key points developed in the project will support clinical researchers to understand key considerations when designing n-of-1 trials. It is hoped they will support the wider implementation of the study design.

Systematic review and narrative synthesis of the experiences of individuals with chronic pain participating in digital pain management interventions.

The use of digital pain management interventions has grown since the Covid 19 pandemic. The aim of this study was to systematically review and synthesise evidence from qualitative studies regarding the experiences of individuals with chronic pain participating in digital pain management interventions in primary care and community settings. Fourteen databases were searched, as well as citation tracking and hand-searching reference lists of included articles. The latest search was completed by 07/07/2023. Qualitative studies of patient and carer perspectives of digital pain management interventions for adults aged 18 and over with non-malignant chronic pain were included. All studies were appraised for quality using the Critical Appraisal Skills Programme Qualitative Checklist. A narrative synthesis approach was used to synthesise the findings. Normalisation Process Theory was used to understand how individuals with chronic pain make sense of digital pain management interventions and incorporate knowledge, skills and strategies learnt into their day-to-day lives. Eleven studies, encompassing both digital applications for use on smartphones/ mobile devices and user-directed online modular programmes, were included in the synthesis. Three main themes and related subthemes were identified from the included studies: 1) Making sense of the digital intervention (Subthemes: Tailoring to user's needs; Human contact and support; Accessibility of the digital intervention; Personal and environmental factors affecting engagement with digital interventions); 2) Initiating and Maintaining Behaviour Change (Subthemes: Planning activity; Being active); and 3) Personal Growth (Subthemes: Gaining understanding and skills; Gaining and acting on feedback; Negotiating a new relationship with pain). Recommendations. The key recommendations from our findings are that digital pain management interventions should provide: Specific and tailored information for individual participants.Focus on changing attitudes and behaviours and reframing perceptions of pain.Structured goal setting with prompts to review goals.Potential healthcare professional support alongside the digital intervention.Limitations of the review. To reduce bias, it would have been preferable for more than one author to independently fully analyse each paper and to identify themes and sub-themes. Instead, the identified themes and sub-themes were discussed with two other authors in the team (ES, LW) to reach a consensus view on final themes and sub-themes. One author (JS) received a Research Internship and Research Initiation Award funded by NIHR Applied Research Collaboration (ARC) Wessex (https://www.arc-wx.nihr.ac.uk/) and NHS England (https://www.england.nhs.uk/). The protocol for this review was registered with the National Institute of Health Research (NIHR) PROSPERO international database for registering systematic reviews (PROSPERO Registration Number CRD42021257768).

Prognostic significance of troponin in patients with malignancy (NIHR Health Informatics Collaborative TROP-MALIGNANCY study)

BackgroundCardiac troponin is commonly raised in patients presenting with malignancy. The prognostic significance of raised troponin in these patients is unclear.ObjectivesWe sought to investigate the relation between troponin and mortality in a large, well characterised cohort of patients with a routinely measured troponin and a primary diagnosis of malignancy.MethodsWe used the National Institute for Health Research (NIHR) Health Informatics Collaborative data of 5571 patients, who had troponin levels measured at 5 UK cardiac centres between 2010 and 2017 and had a primary diagnosis of malignancy. Patients were classified into solid tumour or haematological malignancy subgroups. Peak troponin levels were standardised as a multiple of each laboratory’s 99th -percentile upper limit of normal (xULN).Results4649 patients were diagnosed with solid tumours and 922 patients with haematological malignancies. Raised troponin was an independent predictor of mortality in all patients (Troponin > 10 vs. <1 adjusted HR 2.01, 95% CI 1.73 to 2.34), in solid tumours (HR 1.84, 95% CI 1.55 to 2.19), and in haematological malignancy (HR 2.72, 95% CI 1.99 to 3.72). There was a significant trend in increasing mortality risk across troponin categories in all three subgroups (p < 0.001).ConclusionRaised troponin level is associated with increased mortality in patients with a primary diagnosis of malignancy regardless of cancer subtype. Mortality risk is stable for patients with a troponin level below the ULN but increases as troponin level increases above the ULN in the absence of acute coronary syndrome.

Prevalence of all epilepsies in urban informal settlements in Nairobi, Kenya: a two-stage population-based study

WHO estimates that more than 50 million people worldwide have epilepsy and 80% of cases are in low-income and middle-income countries. Most studies in Africa have focused on active convulsive epilepsy in rural areas, but there are few data in urban settings. We aimed to estimate the prevalence and spatial distribution of all epilepsies in two urban informal settlements in Nairobi, Kenya. We did a two-stage population-based cross-sectional study of residents in a demographic surveillance system covering two informal settlements in Nairobi, Kenya (Korogocho and Viwandani). Stage 1 screened all household members using a validated epilepsy screening questionnaire to detect possible cases. In stage 2, those identified with possible seizures and a proportion of those screening negative were invited to local clinics for clinical and neurological assessments by a neurologist. Seizures were classified following the International League Against Epilepsy recommendations. We adjusted for attrition between the two stages using multiple imputations and for sensitivity by dividing estimates by the sensitivity value of the screening tool. Complementary log-log regression was used to assess prevalence differences by participant socio-demographics. A total of 56 425 individuals were screened during stage 1 (between Sept 17 and Dec 23, 2021) during which 1126 were classified as potential epilepsy cases. A total of 873 were assessed by a neurologist in stage 2 (between April 12 and Aug 6, 2022) during which 528 were confirmed as epilepsy cases. 253 potential cases were not assessed by a neurologist due to attrition. 30 179 (53·5%) of the 56 425 individuals were male and 26 246 (46·5%) were female. The median age was 24 years (IQR 11-35). Attrition-adjusted and sensitivity-adjusted prevalence for all types of epilepsy was 11·9 cases per 1000 people (95% CI 11·0-12·8), convulsive epilepsy was 8·7 cases per 1000 people (8·0-9·6), and non-convulsive epilepsy was 3·2 cases per 1000 people (2·7-3·7). Overall prevalence was highest among separated or divorced individuals at 20·3 cases per 1000 people (95% CI 15·9-24·7), unemployed people at 18·8 cases per 1000 people (16·2-21·4), those with no formal education at 18·5 cases per 1000 people (16·3-20·7), and adolescents aged 13-18 years at 15·2 cases per 1000 people (12·0-18·5). The epilepsy diagnostic gap was 80%. Epilepsy is common in urban informal settlements of Nairobi, with large diagnostic gaps. Targeted interventions are needed to increase early epilepsy detection, particularly among vulnerable groups, to enable prompt treatment and prevention of adverse social consequences. National Institute for Health Research using Official Development Assistance.

Experiences of Self-Sampling and Future Screening Preferences in Non-Attenders Who Returned an HPV Vaginal Self-Sample in the YouScreen Study: Findings From a Cross-Sectional Questionnaire.

We assessed experiences of human papillomavirus (HPV) vaginal self-sampling and future screening preferences in an ethnically and socio-economically diverse group of women overdue for cervical screening. A postal questionnaire was embedded in the YouScreen self-sampling trial in England: 32.5% (2712/8338) of kit completers returned the survey. Kit non-completers were encouraged to return a questionnaire, but no responses were received. Participants were ethnically diverse (40.3% came from ethnic minority backgrounds), and 59.1% came from the two most deprived quintiles. Differences in confidence in kit completion, trust in the test results and intention to attend a follow-up test if HPV-positive were evaluated using Pearson's χ2 analyses. Binary logistic regression models explored predictors of a future screening choice and preferences for urine versus vaginal self-sampling. Most kit-completers reported high confidence in self-sampling (82.6%) and high trust in the results (79.9%), but experiences varied by ethnicity and screening status. Most free-text comments were positive but some reported difficulties using the device, pain or discomfort. Most women would opt for self-sampling in the future (71.3% vs. 10.4% for a clinician-taken test) and it was more often preferred by ethnic minority groups, overdue screeners and never attenders. Urine self-tests were preferred to vaginal tests (41.9% vs. 15.4%), especially among women from Asian, Black or Other Ethnic backgrounds. Kit-completers were confident, found the test easy to complete, and trusted the self-sample results. However, experiences varied by ethnic group and some women highlighted difficulties with the kit. Most women would prefer self-sampling in the future, but it was not a universal preference, so offering a choice will be important. We did not have direct patient and public involvement and engagement (PPIE) in the questionnaire design. However, patients and public representatives did input into the design of the YouScreen trial and reviewed the wider study materials (e.g. participant information sheet). This questionnaire study was embedded in the YouScreen trial. The protocol for the YouScreen trial is available at https://www.isrctn.com/ISRCTN12759467. The National Institute for Health Research 43 Clinical Research Network (NIHR CRN) Central Portfolio Management System (CPMS) ID is 4441934.

Accuracy and safety of an autonomous artificial intelligence clinical assistant conducting telemedicine follow-up assessment for cataract surgery

Artificial intelligence deployed to triage patients post-cataract surgery could help to identify and prioritise individuals who need clinical input and to expand clinical capacity. This study investigated the accuracy and safety of an autonomous telemedicine call (Dora, version R1) in detecting cataract surgery patients who need further management and compared its performance against ophthalmic specialists. 225 participants were recruited from two UK public teaching hospitals after routine cataract surgery between 17 September 2021 and 31 January 2022. Eligible patients received a call from Dora R1 to conduct a follow-up assessment approximately 3 weeks post cataract surgery, which was supervised in real-time by an ophthalmologist. The primary analysis compared decisions made independently by Dora R1 and the supervising ophthalmologist about the clinical significance of five symptoms and whether the patient required further review. Secondary analyses used mixed methods to examine Dora R1's usability and acceptability and to assess cost impact compared to standard care. This study is registered with ClinicalTrials.gov (NCT05213390) and ISRCTN (16038063). 202 patients were included in the analysis, with data collection completed on 23 March 2022. Dora R1 demonstrated an overall outcome sensitivity of 94% and specificity of 86% and showed moderate to strong agreement (kappa: 0.758-0.970) with clinicians in all parameters. Safety was validated by assessing subsequent outcomes: 11 of the 117 patients (9%) recommended for discharge by Dora R1 had unexpected management changes, but all were also recommended for discharge by the supervising clinician. Four patients were recommended for discharge by Dora R1 but not the clinician; none required further review on callback. Acceptability, from interviews with 20participants, was generally good in routine circumstances but patients were concerned about the lack of a 'human element' in cases with complications. Feasibility was demonstrated by the high proportion of calls completed autonomously (195/202, 96.5%). Staff cost benefits for Dora R1 compared to standard care were £35.18 per patient. The composite of mixed methods analysis provides preliminary evidence for the safety, acceptability, feasibility, and cost benefits for clinical adoption of an artificial intelligence conversational agent, Dora R1, to conduct follow-up assessment post-cataract surgery. Further evaluation in real-world implementation should be conducted to provide additional evidence around safety and effectiveness in a larger sample from a more diverse set of Trusts. This manuscript is independent research funded by the National Institute for Health Research and NHSX (Artificial Intelligence in Health and Care Award, AI_AWARD01852).

A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery. Data from an international, prospective cohort study were used to develop a novel prognostic risk model for pulmonary complications after elective surgery in adult patients (aged ≥18 years) across all operation and disease types. The primary outcome measure was postoperative pulmonary complications at 30 days after surgery, which was a composite of pneumonia, acute respiratory distress syndrome, and unexpected mechanical ventilation. Model development with candidate predictor variables was done in the GlobalSurg-CovidSurg Week dataset (global; October, 2020). Two structured machine learning techniques were explored (XGBoost and the least absolute shrinkage and selection operator [LASSO]), and the model with the best performance (GSU-Pulmonary Score) underwent internal validation using bootstrap resampling. The discrimination and calibration of the score were externally validated in two further prospective cohorts: CovidSurg-Cancer (worldwide; February to August, 2020, during the COVID-19 pandemic) and RECON (UK and Australasia; January to October, 2019, before the COVID-19 pandemic). The model was deployed as an online web application. The GlobalSurg-CovidSurg Week and CovidSurg-Cancer studies were registered with ClinicalTrials.gov, NCT04509986 and NCT04384926. Prognostic models were developed from 13 candidate predictor variables in data from 86 231 patients (1158 hospitals in 114 countries). External validation included 30 492 patients from CovidSurg-Cancer (726 hospitals in 75 countries) and 6789 from RECON (150 hospitals in three countries). The overall rates of pulmonary complications were 2·0% in derivation data, and 3·9% (CovidSurg-Cancer) and 4·7% (RECON) in the validation datasets. Penalised regression using LASSO had similar discrimination to XGBoost (area under the receiver operating curve [AUROC] 0·786, 95% CI 0·774-0·798 vs 0·785, 0·772-0·797), was more explainable, and required fewer covariables. The final GSU-Pulmonary Score included ten predictor variables and showed good discrimination and calibration upon internal validation (AUROC 0·773, 95% CI 0·751-0·795; Brier score 0·020, calibration in the large [CITL] 0·034, slope 0·954). The model performance was acceptable on external validation in CovidSurg-Cancer (AUROC 0·746, 95% CI 0·733-0·760; Brier score 0·036, CITL 0·109, slope 1·056), but with some miscalibration in RECON data (AUROC 0·716, 95% CI 0·689-0·744; Brier score 0·045, CITL 1·040, slope 1·009). This novel prognostic risk score uses simple predictor variables available at the time of a decision for elective surgery that can accurately stratify patients' risk of postoperative pulmonary complications, including during SARS-CoV-2 outbreaks. It could inform surgical consent, resource allocation, and hospital-level prioritisation as elective surgery is upscaled to address global backlogs. National Institute for Health Research.

Comparative physiological effects of antipsychotic drugs in children and young people: a network meta-analysis

The degree of physiological responses to individual antipsychotic drugs is unclear in children and adolescents. With network meta-analysis, we aimed to investigate the effects of various antipsychotic medications on physiological variables in children and adolescents with neuropsychiatric and neurodevelopmental conditions. For this network meta-analysis, we searched Medline, EMBASE, PsycINFO, Web of Science, and Scopus from database inception until Dec 22, 2023, and included randomised controlled trials comparing antipsychotics with placebo in children or adolescents younger than 18 years with any neuropsychiatric and neurodevelopmental condition. Primary outcomes were mean change from baseline to end of acute treatment in bodyweight, BMI, fasting glucose, total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, prolactin, heart rate, systolic blood pressure (SBP), and QT interval corrected for heart rate (QTc) for patients receiving either active treatment or placebo. For multigroup trials reporting several doses, we calculated a summary value for each physiological variable for all doses. After transitivity assessment, we fitted frequentist random-effects network meta-analyses for all comparisons in the network. A Kilim plot was used to summarise the results for all treatments and outcomes, providing information regarding the strength of the statistical evidence of treatment effects, using p values. Network heterogeneity was assessed with τ, risk of bias of individual trials was assessed with the Cochrane Collaboration's Tool for Assessing Risk of Bias, and the credibility of findings from each network meta-analysis was assessed with the Confidence in Network Meta-Analysis (CINEMA) app. This study is registered on PROSPERO (CRD42021274393). Of 6676 studies screened, 47 randomised controlled trials were included, which included 6500 children (mean age 13·29 years, SD 2·14) who received treatment for a median of 7 weeks (IQR 6-8) with either placebo (n=2134) or one of aripiprazole, asenapine, blonanserin, clozapine, haloperidol, lurasidone, molindone, olanzapine, paliperidone, pimozide, quetiapine, risperidone, or ziprasidone (n=4366). Mean differences for bodyweight change gain compared with placebo ranged from -2·00 kg (95% CI -3·61 to -0·39) with molindone to 5·60 kg (0·27 to 10·94) with haloperidol; BMI -0·70 kg/m2 (-1·21 to -0·19) with molindone to 2·03 kg/m2 (0·51 to 3·55) with quetiapine; total cholesterol -0·04 mmol/L (-0·39 to 0·31) with blonanserin to 0·35 mmol/L (0·17 to 0·53) with quetiapine; LDL cholesterol -0·12 mmol/L (-0·31 to 0·07) with risperidone or paliperidone to 0·17 mmol/L (-0·06 to 0·40) with olanzapine; HDL cholesterol 0·05 mmol/L (-0·19 to 0·30) with quetiapine to 0·48 mmol/L (0·18 to 0·78) with risperidone or paliperidone; triglycerides -0·03 mmol/L (-0·12 to 0·06) with lurasidone to 0·29 mmol/L (0·14 to 0·44) with olanzapine; fasting glucose from -0·09 mmol/L (-1·45 to 1·28) with blonanserin to 0·74 mmol/L (0·04 to 1·43) with quetiapine; prolactin from -2·83 ng/mL (-8·42 to 2·75) with aripiprazole to 26·40 ng/mL (21·13 to 31·67) with risperidone or paliperidone; heart rate from -0·20 bpm (-8·11 to 7·71) with ziprasidone to 12·42 bpm (3·83 to 21·01) with quetiapine; SBP from -3·40 mm Hg (-6·25 to -0·55) with ziprasidone to 10·04 mm Hg (5·56 to 14·51) with quetiapine; QTc from -0·61 ms (-1·47 to 0·26) with pimozide to 0·30 ms (-0·05 to 0·65) with ziprasidone. Children and adolescents show varied but clinically significant physiological responses to individual antipsychotic drugs. Treatment guidelines for children and adolescents with a range of neuropsychiatric and neurodevelopmental conditions should be updated to reflect each antipsychotic drug's distinct profile for associated metabolic changes, alterations in prolactin, and haemodynamic alterations. UK Academy of Medical Sciences, Brain and Behaviour Research Foundation, UK National Institute of Health Research, Maudsley Charity, the Wellcome Trust, Medical Research Council, National Institute of Health and Care Research Biomedical Centre at King's College London and South London and Maudsley NHS Foundation Trust, the Italian Ministry of University and Research, the Italian National Recovery and Resilience Plan, and Swiss National Science Foundation.

SMIM1 absence is associated with reduced energy expenditure and excess weight.

Obesity rates have nearly tripled in the past 50 years, and by 2030 more than 1 billion individuals worldwide are projected to be obese. This creates a significant economic strain due to the associated non-communicable diseases. The root cause is an energy expenditure imbalance, owing to an interplay of lifestyle, environmental, and genetic factors. Obesity has a polygenic genetic architecture; however, single genetic variants with large effect size are etiological in a minority of cases. These variants allowed the discovery of novel genes and biology relevant to weight regulation and ultimately led to the development of novel specific treatments. We used a case-control approach to determine metabolic differences between individuals homozygous for a loss-of-function genetic variant in the small integral membrane protein 1 (SMIM1) and the general population, leveraging data from five cohorts. Metabolic characterization of SMIM1-/- individuals was performed using plasma biochemistry, calorimetric chamber, and DXA scan. We found that individuals homozygous for a loss-of-function genetic variant in SMIM1 gene, underlying the blood group Vel, display excess body weight, dyslipidemia, altered leptin to adiponectin ratio, increased liver enzymes, and lower thyroid hormone levels. This was accompanied by a reduction in resting energy expenditure. This research identified a novel genetic predisposition to being overweight or obese. It highlights the need to investigate the genetic causes of obesity to select the most appropriate treatment given the large cost disparity between them. This work was funded by the National Institute of Health Research, British Heart Foundation, and NHS Blood and Transplant.

Associations between BMI and hospital resource use in patients hospitalised for COVID-19 in England: a community-based cohort study

Excess weight is a major risk factor for severe disease after infection with SARS-CoV-2. However, the effect of BMI on COVID-19 hospital resource use has not been fully quantified. This study aimed to identify the association between BMI and hospital resource use for COVID-19 admissions with the intention of informing future national hospital resource allocation. In this community-based cohort study, we analysed patient-level data from 57 415 patients admitted to hospital in England with COVID-19 between April 1, 2020, and Dec 31, 2021. Patients who were aged 20-99 years, had been registered with a general practitioner (GP) surgery that contributed to the QResearch database for the whole preceding year (2019) with at least one BMI value measured before April 1, 2020, available in their GP record, and were admitted to hospital for COVID-19 were included. Outcomes of interest were duration of hospital stay, transfer to an intensive care unit (ICU), and duration of ICU stay. Costs of hospitalisation were estimated from these outcomes. Generalised linear and logit models were used to estimate associations between BMI and hospital resource use outcomes. Patients living with obesity (BMI >30·0 kg/m2) had longer hospital stays relative to patients in the reference BMI group (18·5-25·0 kg/m2; IRR 1·07, 95% CI 1·03-1·10); the reference group had a mean length of stay of 8·82 days (95% CI 8·62-9·01). Patients living with obesity were more likely to be admitted to ICU than the reference group (OR 2·02, 95% CI 1·86-2·19); the reference group had a mean probability of ICU admission of 5·9% (95% CI 5·5-6·3). No association was found between BMI and duration of ICU stay. The mean cost of COVID-19 hospitalisation was £19 877 (SD 17 918) in the reference BMI group. Hospital costs were estimated to be £2736 (95% CI 2224-3248) higher for patients living with obesity. Patients admitted to hospital with COVID-19 with a BMI above the healthy range had longer stays, were more likely to be admitted to ICU, and had higher health-care costs associated with hospital treatment of COVID-19 infection as a result. This information can inform national resource allocation to match hospital capacity to areas where BMI profiles indicate higher demand. National Institute for Health Research.

Designing studies and reviews to produce informative, trustworthy evidence about complex interventions in rehabilitation: a narrative review and commentary.

According to Cochrane Rehabilitation's recently published definition for research purposes, rehabilitation is inherently complex. Rehabilitation teams frequently implement multiple strategies concurrently, draw on input from a range of different health professionals, target multiple outcomes, and personalize therapeutic plans. The success of rehabilitation lies not only in the specific therapies employed, but also in how they are delivered, when they are delivered, and the capability and willingness of patients to engage in them. In 2021, the UK Medical Research Council (MRC) and the National Institute of Health Research (NIHR) released the second major update of its framework for developing and evaluating complex interventions. This framework has direct relevance to the development and implementation of evidence-based practice in the field of rehabilitation. While previous iterations of this framework positioned complex interventions as anything that involved multiple components, multiple people, multiple settings, multiple targets of effect, and behavior change, this latest framework expanded on this concept of complexity to also include the characteristics and influence of the context in which interventions occur. The revised MRC-NIHR framework presents complex intervention research as comprising the following four inter-related and overlapping phases: 1) development or identification of the intervention; 2) feasibility; 3) evaluation; and 4) implementation, with different methods and tools required to address each of these phases. This paper provides an overview of the MRC-NIHR framework and its application to rehabilitation, with examples from past research. Rehabilitation researchers are encouraged to learn about the MRC-NIHR framework and its application. Funders of rehabilitation research are also encouraged to place greater emphasis on supporting studies that involve the right design to address key uncertainties in rehabilitation clinical practice. This will require investment into a broader range of types of research than simply individual-level randomized controlled trials. Rehabilitation research can both learn from and contribute to future iterations of the MRC-NIHR framework as it is an excellent environment for exploring complexity in clinical practice.

Are we bridging the gap? A ten-year probe into NIH grants for early-career and independent investigators in oncology.

9010 Background: Ongoing gender disparities persist within National Institutes of Health (NIH) funding, specifically evident in NIH R01 grants within Oncology. A crucial aspect of addressing this issue involves a comprehensive investigation of discrepancies between early-career and independent principal investigators (PI). Here we present a ten-year analysis of gender distribution of early career vs. independent grants in the NIH under the field of Oncology. Methods: We implemented an R script utilizing NIH rePORTER, tidyverse, and janitor libraries for data retrieval. This script defined fields for retrieval which looped over fiscal years 2012 to 2022. The script executed API requests with criteria that included fiscal years, activity codes, and search terms that are relevant to oncology to extract grants from NIH rePORTER. We defined the early-career grant category to encompass the top 3 most active NIH K and F grants (K01,K08,K23, F31,F32,F33). In contrast, the independent research grant category included the top 3 most active NIH R grants (R01,R21,R35). The gender library was used to predict the gender of each principal investigator (PI) based on their first name. Ggplot and gtsummary packages were employed for data visualization and statistical analysis, automatically selecting appropriate tests based on data type. Results: Over the fiscal years 2012 to 2022, a total of 44,545 active early-career grants were funded by the NIH. Females (n = 24,243: 54.4% [95% CI:53.7%,55.0%]) surpassed their male counterparts (n = 20,302: 45.6% [95% CI:44.9%, 46.3%]) by holding more active early-career research grants. From 2012 to 2022, there was a significant upward trend that was noted in active early-career grants funded to females (1,818 to 2,969, p &lt; 0.01). Similarly, males exhibited a noteworthy increase in these grants when comparing 2012 to 2022 (1,780 to 1,986, p &lt; 0.001). Despite both genders experiencing an uptrend in active early-career NIH grants, females demonstrated a 48.3% increase, while males experienced a more modest 11.5% increase. In comparison, a total of 236,804 active independent research NIH grants were disbursed in the NIH R category from 2012 to 2022. Females (78,439: 33.1% [95% CI:32.7%,33.4%]) had fewer active independent NIH research grants compared to males (158,365: 66.9% [95% CI:66.6%,67.1%]). Males observed a 6.4% increase in independent NIH grants, rising from 14,419 to 15,343, while females exhibited a notable 48% increase, expanding from 6,193 to 9,195, from 2012 to 2022. Conclusions: In the realm of oncology, gender disparities are not evident among early career investigators as there were 53.7% of early career grants funded to females over the decade. Conversely, females accounted for only 33.3% of independent research grants. These observations emphasize the importance for targeted interventions to foster equal opportunities within the field of Oncology.

Trajectories of biomedical research leading to Nobel Prize-winning discoveries.

Significant advancements in public health come from scientific discoveries, but more are needed to meet the ever-growing societal needs. Examining the best practices of outstanding scientists may help develop future researchers and lead to more discoveries. This study compared the comprehensive work of 49 Nobel laureates in Physiology or Medicine from 2000 to 2019 to a matched control of National Institutes of Health (NIH)-funded biomedical investigators. Our unique data set, comprising 11,737 publications, 571 US patents, and 1693 NIH research awards produced by pre-Nobel laureates, was compared to a similar data set of control researchers. Compared to control researchers, pre-Nobel laureates produce significantly more publications annually (median = 5.66; interquartile range [IQR] = 5.16); significantly fewer coauthors per publication (median = 3.32; IQR = 1.95); consistently higher Journal Impact Factor publications (median = 12.04; IQR = 6.83); and substantially more patents per researcher (median = 5; IQR = 14). Such differences arose from nearly identical cumulative NIH award budgets of pre-Nobel laureates (median $25.3M) and control researchers. Nobel laureates are neither hyper-prolific (>72 papers per year) nor hyper-funded (>$100M cumulative). An academic age-specific trajectory graph allows aspiring researchers to compare their productivity and collaboration patterns to those of pre-Nobel laureates.

Primary care for cancer survivors: a review of national institutes of health-funded grants 2017-2022.

To describe the characteristics of National Institutes of Health (NIH) grants on primary care cancer research in cancer survivorship funded over the past 5years. Research project grants (RPG) funded during Fiscal Year (FY) 2017 to 2022 focused on cancer survivorship were identified using a text mining algorithm of words from the NIH Research, Condition, and Disease Categorization (RCDC) thesaurus with survivorship-relevant terms. Grants were then reviewed and double-coded to identify those that were carried out in a primary care setting, targeted primary care providers, or had primary care providers in the study team. A total of 24 grants were identified; 23 were funded by the National Cancer Institute and one was funded by the National Institute on Minority Health and Health Disparities. The majority were funded under the R01 mechanism (70.8%) and led by established investigators. Most were interventional design (91.7%), including both survivors and providers (79.2%), and focused care coordination or healthcare utilization (91.7%). Grants focused on primary care cancer survivorship are uncommon in the NIH portfolio. For the over 18 million cancer survivors in the USA, being cared for in a primary care setting is common. Yet, NIH-funded research on primary care cancer survivorship is sparse.

Efficacy and cost-effectiveness of a digital guided self-management intervention to support transition from intensive care to community care in anorexia nervosa (TRIANGLE): pragmatic multicentre randomised controlled trial and economic evaluation

There is uncertainty regarding how best to support patients with anorexia nervosa following inpatient or day care treatment. This study evaluated the impact of augmenting intensive treatment with a digital, guided, self-management intervention (ECHOMANTRA) for patients with anorexia nervosa and their carers. In this pragmatic multicentre randomised controlled trial and economic evaluation, patients with a diagnosis of anorexia nervosa or atypical anorexia nervosa, aged 16+ and attending one of the 31 inpatient or day-patient services in the UK were randomised with one of their carers to receive ECHOMANTRA plus treatment as usual (TAU), or TAU alone. ECHOMANTRA was hosted on a digital platform and included a workbook, recovery-oriented video-clips and online facilitated groups (patients only, carers only, joint patient-carer). Participants were randomised on a 1:1 ratio using a minimisation algorithm to stratify by site (N=31) and severity (defined by BMI <15 and≥15kg/m2 at baseline). The primary outcome was patient depression, anxiety, and stress at 12months. Primary and secondary outcomes were compared between trial arms on an intention-to-treat basis (ITT). This trial is registered with the ISRSTN registry, ISRCTN14644379. Between July 01, 2017 and July 20, 2020, 371 patient-carer dyads were enrolled and randomly assigned to ECHOMANTRA+TAU (N=185) or TAU alone (N=186). There were no significant differences between trial arms with regards to the primary outcome (completed by N=143 patients in the TAU group, Mean=61.7, SD=29.4 and N=109 patients in the ECHOMANTRA+TAU group, Mean=58.3, SD=26.9; estimated mean difference 0.48 points; 95% CI-5.36 to 6.33; p=0.87). Differences on secondary outcomes were small and non-significant (standardised effect size estimates ≤0.25). Five patients died (2 from suicide and 3 from physical complications) over the course of the trial, and this was unrelated to their participation in the study. ECHOMANTRA added to TAU was not superior to TAU alone in reducing patient depression, anxiety, and stress symptoms. This may be explained by limited engagement with the intervention materials and changes in usual care practices since the beginning of the trial. National Institute for Health Research (NIHR), under its Health Technology Assessment Programme (HTA) Programme (Grant Reference Number 14/68/09). NIHR Maudsley Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology and Neuroscience, and King's College London. NIHR Applied Research Collaboration South London (NIHR ARC South London) at King's College Hospital NHS Foundation Trust.

Investigating the Genetic Diversity of Hepatitis Delta Virus in Hepatocellular Carcinoma (HCC): Impact on Viral Evolution and Oncogenesis in HCC.

Hepatitis delta virus (HDV), an RNA virus with two forms of the delta antigen (HDAg), relies on hepatitis B virus (HBV) for envelope proteins essential for hepatocyte entry. Hepatocellular carcinoma (HCC) ranks third in global cancer deaths, yet HDV's involvement remains uncertain. Among 300 HBV-associated HCC serum samples from Taiwan's National Health Research Institutes, 2.7% (8/300) tested anti-HDV positive, with 62.7% (5/8) of these also HDV RNA positive. Genotyping revealed HDV-2 in one sample, HDV-4 in two, and two samples showed mixed HDV-2/HDV-4 infection with RNA recombination. A mixed-genotype infection revealed novel mutations at the polyadenylation signal, coinciding with the ochre termination codon for the L-HDAg. To delve deeper into the possible oncogenic properties of HDV-2, the predominant genotype in Taiwan, which was previously thought to be less associated with severe disease outcomes, an HDV-2 cDNA clone was isolated from HCC for study. It demonstrated a replication level reaching up to 74% of that observed for a widely used HDV-1 strain in transfected cultured cells. Surprisingly, both forms of HDV-2 HDAg promoted cell migration and invasion, affecting the rearrangement of actin cytoskeleton and the expression of epithelial-mesenchymal transition markers. In summary, this study underscores the prevalence of HDV-2, HDV-4, and their mixed infections in HCC, highlighting the genetic diversity in HCC as well as the potential role of both forms of the HDAg in HCC oncogenesis.

Bed-rest and exercise remobilisation: concurrent adaptations in muscle glucose and protein metabolism

Bed rest (BR) of only a few days duration reduces muscle protein synthesis and induces skeletal muscle atrophy and insulin resistance, but the scale and juxtaposition of these events has not been investigated concurrently in the same individuals. Moreover, the impact of short-term exercise-supplemented remobilisation (ESR) on muscle volume, protein turnover and leg glucose uptake (LGU) in humans is unknown. Ten healthy males (24±1 years, body mass index (BMI) 22.7±0.6) underwent 3 days of BR, followed immediately by 3 days of ESR consisting of 5x30 maximal voluntary single leg isokinetic knee-extensions at 90o/sec each day. An isoenergetic diet was maintained throughout the study (30% fat,15% protein, 55% carbohydrate). Resting LGU was calculated from arteriovenous-venous difference across the leg and leg blood flow during the steady-state of a 3 hr hyperinsulinaemic euglycaemic clamp (60 mU/m2/min) measured pre BR, post BR and after remobilisation. Glycogen content was measured in Vastus Lateralis muscle biopsy samples obtained before and after each clamp. Leg muscle volume (LMV) was measured using magnetic resonance imaging pre BR, post BR and after remobilisation. Cumulative myofibrillar protein fractional synthesis rate (FSR), and whole-body muscle protein breakdown (MPB) were measured over the course of BR and remobilisation using deuterium oxide and 3-methylhistidine stable isotope tracers that were administered orally. Compared with pre BR, there was a 45% decline in insulin-stimulated LGU (p&lt;0.05) after BR, which was paralleled by a reduction in insulin stimulated leg blood flow (p&lt;0.01) and removal of insulin stimulated muscle glycogen storage. These events were accompanied by a 43% reduction in myofibrillar protein FSR (p&lt;0.05) and a 2.5% decrease in LMV (p&lt;0.01) during BR, along with a 30% decline in whole-body muscle myofibrillar protein breakdown after 2 days BR (p&lt;0.05). Myofibrillar protein FSR and LMV were restored by 3 days of ERS (p&lt;0.01, p&lt;0.01; respectively), but not by ambulation alone. However, insulin stimulated LGU and muscle glycogen storage were not restored by ESR. Three days of BR caused concurrent reductions in LMV, myofibrillar protein FSR, myofibrillar protein breakdown and insulin stimulated LGU, leg blood flow and muscle glycogen storage in healthy, young volunteers. Resistance ESR restored LMV and myofibrillar protein FSR, but LGU and muscle glycogen storage remained depressed, highlighting divergences in muscle fuel and protein metabolism. Furthermore, ambulation alone did not restore LMV and myofibrillar protein FSR in the non-exercised contralateral limb, emphasising the importance of exercise rehabilitation following even short-term BR. This study was supported by the Biotechnology and Biological Sciences Research Council (BB/P005004/1), the Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis (grant no. 21595), and the National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Sodium-Glucose Cotransporter-2 Inhibitors and the Risk for Dialysis and Cardiovascular Disease in Patients With Stage 5 Chronic Kidney Disease.

No studies have reported the long-term outcomes of initiating sodium-glucose cotransporter-2 inhibitors (SGLT2is) in patients with estimated glomerular filtration rates less than 20 mL/min/1.73 m2 to predialysis. To compare the risk for dialysis, cardiovascular events, and death between SGLT2i users and nonusers in patients with type 2 diabetes (T2D) and stage 5 chronic kidney disease (CKD). Target trial emulation study. Taiwan's National Health Insurance Research Database (NHIRD). By applying sequential target trial emulation principle, 23 854 SGLT2i users and 23 892 SGLT2i nonusers were selected from the NHIRD for patients with T2D and stage 5 CKD from 1 May 2016 to 31 October 2021. Conditional Cox proportional hazards models were used to compare the risks for dialysis, hospitalization for heart failure, acute myocardial infarction (AMI), diabetic ketoacidosis (DKA), acute kidney injury (AKI), and all-cause mortality between SGLT2i users and nonusers. In the intention-to-treat model, compared with no SGLT2i use, SGLT2i use was associated with lower risks for dialysis (hazard ratio [HR], 0.34 [95% CI, 0.27 to 0.43]), hospitalization for heart failure (HR, 0.80 [CI, 0.73 to 0.86]), AMI (HR, 0.61 [CI, 0.52 to 0.73]), DKA (HR, 0.78 [CI, 0.71 to 0.85]), and AKI (HR, 0.80 [CI, 0.70 to 0.90]), but there was no difference in the risk for all-cause mortality (HR, 1.11 [CI, 0.99 to 1.24]). The Kaplan-Meier curves and subgroup analyses also showed that initiation of an SGLT2i in stage 5 CKD was associated with a lower risk for long-term dialysis than no SGLT2i use. This result may not apply to patients without T2D. This emulated target trial showed that SGLT2i use was associated with a lower risk for dialysis, cardiovascular events, DKA, and AKI than no SGLT2i use in patients with T2D and stage 5 CKD. National Health Research Institutes, Taiwan.