Role of Hepatic Stellate and Liver Sinusoidal Endothelial Cells in a Human Primary Cell Three-Dimensional Model of Nonalcoholic Steatohepatitis

Nonalcoholic steatohepatitis (NASH) is an inflammatory and fibrotic liver disease that has reached epidemic proportions and has no approved pharmacologic therapies. Research and drug development efforts are hampered by inadequate preclinical models. This research describes a three-dimensional bioprinted liver tissue model of NASH built using primary human hepatocytes and nonparenchymal liver cells (hepatic stellate cells, liver sinusoidal endothelial cells, and Kupffer cells) from either healthy or NASH donors. Three-dimensional tissues bioprinted with cells sourced from diseased patients showed a NASH phenotype, including fibrosis. More importantly, this NASH phenotype occurred without the addition of disease-inducing agents. Bioprinted tissues composed entirely of healthy cells exhibited significantly less evidence of disease. The role of individual cell types in driving the NASH phenotype was examined by producing chimeric bioprinted tissues composed of healthy cells together with the addition of one or more diseased nonparenchymal cell types. These experiments reveal a role for both hepatic stellate and liver sinusoidal endothelial cells in the disease process. This model represents a fully human system with potential to detect clinically active targets and eventually therapies.

Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial

BACKGROUND

Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial.

METHODS

EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110.

FINDINGS

Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001).

INTERPRETATION

Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor.

FUNDING

Boehringer Ingelheim and Eli Lilly.

Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial

BACKGROUND

The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population.

METHODS

EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110.

FINDINGS

Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1).

INTERPRETATION

In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease.

FUNDING

Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.

Reliability and validity testing of the ASSIST functional performance index

Reliability and validity testing of the ASSIST Functional Performance Index (AFPI) was conducted, focusing on persons with physical disabilities (PwPD). The AFPI was iteratively developed to assess persons' needs for Mainstream Smart Home Technologies (MSHT) as Assistive Technology (AT) and to measure the impact of a service delivery model for MSHT. The AFPI consists of 46 items organized by functional domains. A total of N = 22 PwPD completed the AFPI twice. The median response time between these two time points was four days. Test-retest reliability of overall scores was assessed using the Intraclass Correlation Coefficient model (ICC, 3.1). The weighted kappa coefficient was applied to conduct an item analysis, demonstrating moderate to substantial agreement in all but one of the items. During the second administration, validity was established by correlating the number of hours of assistance and total AFPI scores with the SCI-FI Self-Care and Basic Mobility Short Form Questionnaires. Results indicate that the AFPI demonstrates good to very good validity as an assessment tool and outcome measure in recommending and evaluating the impact of MSHT for PwPD. Future studies, including more participants and persons with cognitive and sensory disabilities, may further establish the clinical utility of the AFPI.

OC-032 IMAGE-BASED DEEP LEARNING MODELS (DLMS) TO PREDICT LONG TERM QUALITY OF LIFE (QOL) FOLLOWING ABDOMINAL WALL RECONSTRUCTION (AWR)

Aim

To apply image-based DLMs to predict post-operative QOL following AWR.

Materials & Methods

A prospective, institutional hernia-database was queried for patients with preoperative abdominal CT-imaging, a preoperative and 1-year postoperative Carolinas Comfort Scale(CCS) survey, and no recurrence. “Symptomatic” was defined as CCS-score≥2(2=mild and bothersome). Google Xception existing architecture model was used with ImageNet database pre-initialized weights to classify symptomatic and non-symptomatic patients. Patients were divided into 80:20-training:testing samples for model generation and evaluation. Model training, test accuracies, and loss-functions were evaluated to determine performance and discriminative ability.

Results

Of 244 patients, mean age was 60.4±11.8 years, mean BMI:33.0±7.1kg/m2, female:57.1%, tobacco use:14.3%, diabetic: 24.5%. Median[IQR] hernia defect size was Exactly 180cm2[90–324]; 66.1% had a failed repair. CDC wound classifications Included: 75.9% class-I, 8.3% class-II, 9.1% class-III, 6.6% class-IV. Preoperatively, hernia-related pain(70.2%) and movement limitations(72.3%) were common. Mesh position was predominantly preperitoneal(91.6%). Median[IQR] mesh size was 900cm2[572–1050]. Anterior component separation was required in 17.9% and posterior in 20.4%.

One-year postoperatively, reported symptoms included: mesh sensation-39.5%, discomfort-37.8%, movement limitations-37.0%.

DLMs utilized 6,441-CT-images(5,097 training-sample). Proportions of symptomatic patients were 48.9%(85/174) in the training-sample and 50%(35/70) in the test-sample. Highest DLM training accuracy was 85.37%(loss=0.3766) at epoch 15/50 with 79.30%(loss=0.3766) comparative validation accuracy, demonstrating strong discriminative ability in model classification between symptomatic and asymptomatic patients. Lower accuracy due to model overfitting was observed after 50 epochs.

Conclusions

Image-based DLMs using standard, preoperative CT images very successfully predicted 1-year AWR QOL. The impact of DLMs on preoperative counseling/consent for surgery could be revolutionary.

Prevalence and determinants of oral and cervicogenital HPV infection: Baseline analysis of the Michigan HPV and Oropharyngeal Cancer (MHOC) cohort study

We determined baseline oral and cervicogenital human papillomavirus (HPV) prevalence and determinants of infection in the Michigan HPV and Oropharyngeal Cancer (MHOC) study. We enrolled 394 college-age and older participants of both sexes in Ann Arbor, Michigan and the surrounding area. All participants provided an oral sample at baseline, and 130 females provided a cervicogenital sample. Samples were tested for 18 HPV genotypes using polymerase chain reaction (PCR) MassArray. Participants filled out sociodemographic and behavioral questionnaires. Prevalence ratios for HPV oral or cervicogenital prevalence by predictor variables were estimated in univariable log-binomial models. Analysis was conducted 2018–20. In the full cohort, baseline oral HPV prevalence was 10.0% for any detected genotype (among the 338 valid oral tests at baseline) and 6.5% for high-risk types, and cervicogenital prevalence was 20.0% and 10.8%, respectively (among the 130 first valid cervicogenital tests). Oral HPV prevalence did not vary by sex, with 10.5% of women and 9.0% of men having an infection. We found a high prevalence of oral and cervicogenital HPV infection in college-age participants reporting no lifetime sexual partners. Reporting a single recent partner was associated with a lower oral HPV prevalence (PR 0.39, 95% CI: 0.16, 0.96) than reporting no recent (but at least one ever) partner. No similar protective effect was seen for cervicogenital HPV. Both oral and cervicogenital prevalence increased with the number of recent partners for most sexual behaviors. We observed an ecological fallacy masking the direction of impact of vaccination on HPV prevalence in the full cohort compared to the college-aged and the age 23+ populations considered separately. Substance use was not significantly associated with oral or cervicogenital HPV infection. Many studies report substantially higher oral HPV infection prevalence in men than in women. That difference may not be uniform across populations in the US.

Long-term safety and efficacy of anacetrapib in patients with atherosclerotic vascular disease

AIMS

REVEAL was the first randomized controlled trial to demonstrate that adding cholesteryl ester transfer protein inhibitor therapy to intensive statin therapy reduced the risk of major coronary events. We now report results from extended follow-up beyond the scheduled study treatment period.

METHODS AND RESULTS

A total of 30 449 adults with prior atherosclerotic vascular disease were randomly allocated to anacetrapib 100 mg daily or matching placebo, in addition to open-label atorvastatin therapy. After stopping the randomly allocated treatment, 26 129 survivors entered a post-trial follow-up period, blind to their original treatment allocation. The primary outcome was first post-randomization major coronary event (i.e. coronary death, myocardial infarction, or coronary revascularization) during the in-trial and post-trial treatment periods, with analysis by intention-to-treat. Allocation to anacetrapib conferred a 9% [95% confidence interval (CI) 3-15%; P = 0.004] proportional reduction in the incidence of major coronary events during the study treatment period (median 4.1 years). During extended follow-up (median 2.2 years), there was a further 20% (95% CI 10-29%; P < 0.001) reduction. Overall, there was a 12% (95% CI 7-17%, P < 0.001) proportional reduction in major coronary events during the overall follow-up period (median 6.3 years), corresponding to a 1.8% (95% CI 1.0-2.6%) absolute reduction. There were no significant effects on non-vascular mortality, site-specific cancer, or other serious adverse events. Morbidity follow-up was obtained for 25 784 (99%) participants.

CONCLUSION

The beneficial effects of anacetrapib on major coronary events increased with longer follow-up, and no adverse effects emerged on non-vascular mortality or morbidity. These findings illustrate the importance of sufficiently long treatment and follow-up duration in randomized trials of lipid-modifying agents to assess their full benefits and potential harms.

TRIAL REGISTRATION

International Standard Randomized Controlled Trial Number (ISRCTN) 48678192; ClinicalTrials.gov No. NCT01252953; EudraCT No. 2010-023467-18.

Exploring Feasibility of Multivariate Deep Learning Models in Predicting COVID-19 Epidemic

Background: Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and comprehensive data. Complex epidemiological systems such as COVID-19 are especially challenging to the commonly used mechanistic model when our understanding of this pandemic rapidly refreshes. Objective: We aim to develop a data-driven workflow to extract, process, and develop deep learning (DL) methods to model the COVID-19 epidemic. We provide an alternative modeling approach to complement the current mechanistic modeling paradigm. Method: We extensively searched, extracted, and annotated relevant datasets from over 60 official press releases in Hubei, China, in 2020. Multivariate long short-term memory (LSTM) models were developed with different architectures to track and predict multivariate COVID-19 time series for 1, 2, and 3 days ahead. As a comparison, univariate LSTMs were also developed to track new cases, total cases, and new deaths. Results: A comprehensive dataset with 10 variables was retrieved and processed for 125 days in Hubei. Multivariate LSTM had reasonably good predictability on new deaths, hospitalization of both severe and critical patients, total discharges, and total monitored in hospital. Multivariate LSTM showed better results for new and total cases, and new deaths for 1-day-ahead prediction than univariate counterparts, but not for 2-day and 3-day-ahead predictions. Besides, more complex LSTM architecture seemed not to increase overall predictability in this study. Conclusion: This study demonstrates the feasibility of DL models to complement current mechanistic approaches when the exact epidemiological mechanisms are still under investigation.

Hippocampal Blood Flow Is Increased After 20 min of Moderate-Intensity Exercise

Long-term exercise interventions have been shown to be a potent trigger for both neurogenesis and vascular plasticity. However, little is known about the underlying temporal dynamics and specifically when exercise-induced vascular adaptations first occur, which is vital for therapeutic applications. In this study, we investigated whether a single session of moderate-intensity exercise was sufficient to induce changes in the cerebral vasculature. We employed arterial spin labeling magnetic resonance imaging to measure global and regional cerebral blood flow (CBF) before and after 20 min of cycling. The blood vessels’ ability to dilate, measured by cerebrovascular reactivity (CVR) to CO₂ inhalation, was measured at baseline and 25-min postexercise. Our data showed that CBF was selectively increased by 10–12% in the hippocampus 15, 40, and 60 min after exercise cessation, whereas CVR to CO₂ was unchanged in all regions. The absence of a corresponding change in hippocampal CVR suggests that the immediate and transient hippocampal adaptations observed after exercise are not driven by a mechanical vascular change and more likely represents an adaptive metabolic change, providing a framework for exploring the therapeutic potential of exercise-induced plasticity (neural, vascular, or both) in clinical and aged populations.

Using non-invasive neuroimaging to enhance the care, well-being and experimental outcomes of laboratory non-human primates (monkeys)

Over the past 10-20 years, neuroscience witnessed an explosion in the use of non-invasive imaging methods, particularly magnetic resonance imaging (MRI), to study brain structure and function. Simultaneously, with access to MRI in many research institutions, MRI has become an indispensable tool for researchers and veterinarians to guide improvements in surgical procedures and implants and thus, experimental as well as clinical outcomes, given that access to MRI also allows for improved diagnosis and monitoring for brain disease. As part of the PRIMEatE Data Exchange, we gathered expert scientists, veterinarians, and clinicians who treat humans, to provide an overview of the use of non-invasive imaging tools, primarily MRI, to enhance experimental and welfare outcomes for laboratory non-human primates engaged in neuroscientific experiments. We aimed to provide guidance for other researchers, scientists and veterinarians in the use of this powerful imaging technology as well as to foster a larger conversation and community of scientists and veterinarians with a shared goal of improving the well-being and experimental outcomes for laboratory animals.

Operative Microwave Ablation for the Multimodal Treatment of Neuroendocrine Liver Metastases

Background and Purpose: Operative microwave ablation (MWA) is a safe modality for treating hepatic tumors. The aim of this study is to present our 10-year, single-center experience of operative MWA for neuroendocrine liver metastases (NLM). Methods: A single-institution retrospective review of patients who underwent operative MWA for NLM was performed (2008-2018). Demographics, primary tumor site, operative approach, combined surgical operations, and carcinoid symptoms were recorded. Clinical outcomes for major complications, readmission, and mortality were analyzed 30 days postoperatively. Postablation imaging was evaluated for incomplete ablation/missed lesions, and surveillance imaging reviewed for local, regional, and metastatic recurrence. Results: Of the 50 patients (166 targeted lesions) who received MWA for NLM, 41 (82%) were treated with a minimally invasive approach, and 22 (44%) underwent MWA concomitant with hepatectomy and/or primary tumor resection. Within the study cohort 70% of patients were treated with curative intent with a 77% (27/35) success rate. Carcinoid symptoms were reported in 40% (20/50) of patients preoperatively, and MWA treatment improved symptoms in 19/20 patients. Incomplete ablation occurred in 1/166 treated lesions. Recurrence-free survival at 1 and 5 years was 86% and 28%, respectively. Overall survival at 1 and 5 years was 94% and 70%, respectively (median follow-up 32 months, range 0-116 months). Conclusion: Operative MWA is a versatile modality, which can be safe and effectively performed alone or combined with hepatectomy for NLM, preferably using a minimally invasive approach, to achieve symptom control and possibly improve survival.

Utilization of cardiac MRI for the assessment of suspected rejection with negative biopsy in heart transplant recipients

Background

Heart transplant (HTx) patients can develop graft dysfunction (GD) without biopsy evidence of cell or antibody mediated rejection. Cardiac MRI (CMR) can detect inflammatory or infiltrative causes of cardiomyopathy however CMR findings in HTx recipients with GD have not been previously described.

Purpose

We sought to identify CMR characteristics of HTx patients with GD, and evaluate its additive value in its diagnosis and prognosis.

Methods

CMR has been performed routinely to evaluate GD at our institutions. There were 37 HTx recipients who presented with acute decline in left ventricular ejection fraction (LVEF) of &lt;50% and &gt;10% from baseline, with no biopsy evidence of rejection between 2007 and 2018. Coronary angiogram with IVUS was done to rule out allograft vasculopathy. Treatment of GD was per discretion of the treating clinician. Responders were defined as those with LVEF improvement &gt;10% at 180 days or greater post-presentation. LV and RV indices, the presence and pattern of late gadolinium enhancement (LGE) were determined by CMR.

Results

There were 34% females and mean age at transplant was 49±13 years. Median time from HTx to GD was 1.2 years. Presenting symptoms were heart failure (n=25), cardiogenic shock (n=1) and 11 patients were asymptomatic. Mean LVEF at presentation was 37±12% and donor specific antibodies were detected in 38% patients. Most patients were treated with steroid bolus (n=29), and/or plasmapheresis (n=23). There were no major changes made in immunosuppression in 6 patients. Delayed enhancement MRI was performed with standard inversion-recovery (IR) gradient echo sequences, between 5 and 20 minutes after institutional-standard protocol administration of IV gadolinium contrast. Biventricular LGE was present in 18/37 (49%) patients with GD and was more prevalent in responders (57%, 13 of 23) than non-responders (35%, 5 of 14), although not statistically significant (p=0.21). There were two patterns of LGE noted: 1) Diffuse epicardial (10 patients out which 9 were responders) and 2) Patchy pattern with non-specific distribution (8 patients out of which 4 were responders). Myocardial edema by triple IR sequencing was seen in 6 patients, all having diffuse epicardial pattern of enhancement matching the delayed enhancement pattern. When comparing different treatment groups, among those treated for GD (n=31), 12 of 21 (57%) responders had LGE and 4 of 10 (40%) non-responders had LGE (p=0.37), a pattern similar to the broader population. Among those not treated for GD (n=6), 1 of 2 responders had LGE and 1 of 4 non-responders had LGE (p=0.5).

Conclusion

CMR identified inflammation as a potential cause of GD in approximately 50% of HTx patients. There are 2 distinct patterns of LGE observed in GD, diffuse epicardial (56%) and patchy (44%). Although the presence of LGE in itself is not associated with myocardial recovery, 90% of patients with a diffuse epicardial pattern have recovery of GD.

Funding Acknowledgement

Type of funding source: None

Benefit of antenatal corticosteroids by year of birth among preterm infants in Canada during 2003-2017: a population-based cohort study

OBJECTIVE

To evaluate the changes in the associations of antenatal corticosteroids (ACS) with neonatal mortality and severe neurological injury over time (2003-17).

DESIGN

National, population-representative, retrospective cohort study.

SETTING

Level III neonatal intensive care units participating in the Canadian Neonatal Network.

POPULATION

All infants born at 23^0/7 -33^6/7 weeks of gestation (n = 43 456).

METHODS

We estimated the associations between exposure to ACS and neonatal outcomes by year of birth. Year of birth was considered both continuously and categorically as three consecutive epochs.

MAIN OUTCOME MEASURE

Neonatal mortality and severe neurological injury.

RESULTS

The absolute rates of neonatal mortality and severe neurological injury decreased during the study period in both the ACS and No ACS groups. For infants born at 23^0/7 -30^6/7 weeks of gestation, ACS was associated with similar reductions in neonatal mortality across the three epochs (9.0% versus 18.1%, adjusted relative risk [aRR] 0.54, 95% CI 0.47-0.61 in 2003-09; 7.6% versus 19.6%, aRR 0.51, 95% CI 0.44-0.59 in 2010-13; and 7.3% versus 14.5%, aRR 0.56, 95% CI 0.46-0.68 in 2014-17) and in severe neurological injury (13.2% versus 25.8%, aRR 0.57, 95% CI 0.50-0.64 in 2003-09; 7.4% versus 17.4%, aRR 0.53, 95% CI 0.43-0.66 in 2010-14; and 7.2% versus 14.8%, aRR 0.59, 95% CI 0.48-0.74 in 2014-17).

CONCLUSION

Despite the ongoing improvements in neonatal care of preterm infants, as reflected by the gradual decrease in the absolute rates of neonatal mortality and severe neurological injury, the association of ACS treatment with neonatal mortality and severe neurological injury among extremely preterm infants born at 23-30 weeks of gestation has remained stable throughout the study period of 15 years.

TWEETABLE ABSTRACT

Despite the gradual decrease in the rates of neonatal mortality and severe neurological injury, antenatal corticosteroids remain an important intervention in the current era of neonatal care.

Association between interhospital transfer and morbid obesity in emergency general surgery procedures

BACKGROUND

Obese patients may have unique surgical needs. The goal of this study is to determine if there is an association between obesity and transfer in patients undergoing EGS.

METHODS

EGS patients were identified in the NSQIP 2011-2016 database. Outcome variables included interhospital transfer, days to surgery, SSI, postoperative LOS, discharge destination, and 30-day readmission. Descriptive statistics and multivariable regression were utilized.

RESULTS

419,373 EGS patients were identified, and transfer status varied by obesity class. After controlling for other factors, obese patients had increased odds of interhospital transfer (OR = 1.07-1.53), SSI (OR = 1.22-1.69), and decreased odds of discharge to home (OR = 0.42-0.71, all p < 0.01) but not of 30-day readmission or delay from admission to surgical intervention.

CONCLUSIONS

Obese patients undergoing EGS procedures have an increased likelihood of transfer from an acute care hospital. As obese EGS patients are increasingly prevalent, determining best triage practices for this unique patient population warrants additional investigation.

An objective approach to evaluate novice robotic surgeons using a combination of kinematics and stepwise cumulative sum (CUSUM) analyses

BACKGROUND

Current evaluation methods for robotic-assisted surgery (ARCS or GEARS) are limited to 5-point Likert scales which are inherently time-consuming and require a degree of subjective scoring. In this study, we demonstrate a method to break down complex robotic surgical procedures using a combination of an objective cumulative sum (CUSUM) analysis and kinematics data obtained from the da Vinci® Surgical System to evaluate the performance of novice robotic surgeons.

METHODS

Two HPB fellows performed 40 robotic-assisted hepaticojejunostomy reconstructions to model a portion of a Whipple procedure. Kinematics data from the da Vinci® system was recorded using the dV Logger® while CUSUM analyses were performed for each procedural step. Each kinematic variable was modeled using machine learning to reflect the fellows' learning curves for each task. Statistically significant kinematics variables were then combined into a single formula to create the operative robotic index (ORI).

RESULTS

The inflection points of our overall CUSUM analysis showed improvement in technical performance beginning at trial 16. The derived ORI model showed a strong fit to our observed kinematics data (R² = 0.796) with an ability to distinguish between novice and intermediate robotic performance with 89.3% overall accuracy.

CONCLUSIONS

In this study, we demonstrate a novel approach to objectively break down novice performance on the da Vinci® Surgical System. We identified kinematics variables associated with improved overall technical performance to create an objective ORI. This approach to robotic operative evaluation demonstrates a valuable method to break down complex surgical procedures in an objective, stepwise fashion. Continued research into objective methods of evaluation for robotic surgery will be invaluable for future training and clinical implementation of the robotic platform.

Understanding the interplay between food structure, intestinal bacterial fermentation and appetite control

Epidemiological and clinical evidence highlight the benefit of dietary fibre consumption on body weight. This benefit is partly attributed to the interaction of dietary fibre with the gut microbiota. Dietary fibre possesses a complex food structure which resists digestion in the upper gut and therefore reaches the distal gut where it becomes available for bacterial fermentation. This process yields SCFA which stimulate the release of appetite-suppressing hormones glucagon-like peptide-1 and peptide YY. Food structures can further enhance the delivery of fermentable substrates to the distal gut by protecting the intracellular nutrients during upper gastrointestinal digestion. Domestic and industrial processing can disturb these food structures that act like barriers towards digestive enzymes. This leads to more digestible products that are better absorbed in the upper gut. As a result, less resistant material (fibre) and intracellular nutrients may reach the distal gut, thus reducing substrates for bacterial fermentation and its subsequent benefits on the host metabolism including appetite suppression. Understanding this link is essential for the design of diets and food products that can promote appetite suppression and act as a successful strategy towards obesity management. This article reviews the current evidence in the interplay between food structure, bacterial fermentation and appetite control.

Comparison of Brain Morphology in Alzheimer’s Dementia in the General Population and Demented Subjects with Down’s Syndrome

Aim:

To compare Magnetic Resonance Imaging (MRI) findings in Alzheimer's dementia (AD) in the general population with Down's syndrome dementia.

Background review: AD is characterised by cognitive dysfunction interfering with activities of daily living. Mild cognitive impairment (MCI) is an intermediate state between normal aging and dementia. People with Down's syndrome have an increased risk of developing AD. AD pathology initially appears in the entorhinal cortex, followed by the hippocampus and later in the temporal lobes. These areas are critical for memory functioning.

Method:

Volumetric analysis was performed on MRI brain scans using Measure software. Manual tracing was undertaken for the hippocampus, temporal lobes and lateral ventricles as well as the total brain volume of the cerebral hemispheres and cerebellum. Brain volumes were normalised as a percentage of traced intracranial volumes. Freesurfer software was used to obtain entorhinal cortical thickness measures. Statistical analysis was undertaken using SPSS15.

Results:

Subjects with AD (n=46), MCI (n=28) and controls (n=39) were compared with Down's syndrome demented subjects (DS+, n=20), non-demented subjects with Down's syndrome (DS-, n=45) and age-matched controls (n=43). Hippocampi, entorhinal cortex and temporal lobes were significantly reduced in AD and DS+ compared to controls. Lateral ventricles were significantly increased in AD and DS+ compared to controls. MCI and DS- produced findings between those of dementia and controls.

Conclusions:

Critical memory regions atrophy in dementia corresponding to decreased cognitive functioning. DS+ morphology is comparable to AD in the general population but the atrophy is less pronounced.

A Three-Month Follow-Up Study Evaluating Changes in Clinical Profile and Attitudes Towards Involuntary Admission

Introduction

Involuntary admission and treatment is often a traumatic experience for patients and there is a wide variation in attitudes towards care even when patients are recovered.

Objectives/aims

The purpose of this large prospective study was to identify clinical predictors of attitudes towards care during involuntary admission.

Methods

Three hundred and ninety-one consecutively admitted involuntarily patients to three psychiatric inpatient units over a 30-month period were invited to participate in the study. Comprehensive assessments at admission and 3 months after discharge were attained including measures of symptoms, insight, functioning, attitudes towards involuntary admission and coercive experiences. Multiple linear regression modelling was used to determine the optimal explanatory variables for attitudes towards care.

Results

Two hundred and sixty-three individuals participated at baseline and 156 (59%) successfully completed follow-up assessments. Individuals improved significantly over time clinically and in their attitudes towards their care. At baseline greater insight (P < 0.001) and less symptoms (P = 0.02) were associated with more positive attitudes towards care as was older age (P = 0.001). At follow-up, greater insight (P < 0.001), less symptoms (P = 0.02) and being older (P = 0.04) were associated with more positive attitudes towards care. More positive attitudes towards care at follow-up were associated with greater improvements in insight over time (P < 0.001) and having a diagnosis of an affective psychosis (P = 0.0009).

Conclusions

The best predictors of positive attitudes towards care during and after involuntary admission are illness related factors, such as levels of insight and improvement in insight, rather than service or legislation related factors, such as the use of coercive measures, seclusion and restraint.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

The next step in surgical quality improvement: outcome situational awareness

Summary

A similar theme unites proposed solutions for stagnant improvement in outcomes and rising health care costs: eliminate unnecessary variation in the care of surgical patients. While large quality-improvement projects like the Americal College of Surgeons National Surgical Quality Improvement Program have historically led to improved patient outcomes at the hospital level, the next step in surgical quality improvement is to eliminate unnecessary variation at the level of the individual surgeon. Critical examination of individualized clinical, financial and patient-reported outcomes — outcome situational awareness — along with peer group comparison will help surgeons to identify variation in patient care. We are piloting an interactive software platform at our institution to provide information on individualized clinical, financial and patient-reported outcomes in real time through automatic data population of a central REDCap database. These individualized data along with peer group comparison allow surgeons to objectively determine areas of potential improvement.

Stacked volume holographic gratings for extending the operational wavelength range in LED and solar applications

A novel stacking procedure is presented for volume phase holographic gratings (VPHGs) recorded in photopolymer material using Corning Willow Glass as a flexible substrate in order to achieve broader angular and spectral selectivity in a diffractive device with high efficiency for solar and LED applications. For the first time to our knowledge, we have shown a device designed for use with a white LED that has the same input and output angles and high efficiency when illuminated by different wavelengths. In this paper, two VPHGs were designed, experimentally recorded, and tested when illuminated at normal incidence. The experimental approach is based on stacking two individual gratings in which the spatial frequency and slant have been tailored to the target wavelength and using real-time on-Bragg monitoring of the gratings in order to control the recorded refractive index modulation, thereby optimizing each grating efficiency for its design wavelength. Lamination of the two gratings together was enabled by using a flexible glass substrate (Corning Willow Glass). Recording conditions were studied in order to minimize the change in diffraction efficiency and peak diffraction angle during lamination and bleaching. The final fabricated stacked device was illuminated by a white light source, and its output was spectrally analyzed. Compared to a single grating, the stacked device demonstrated a twofold increase in angular and wavelength range. The angular and wavelength selectivity curves are in good agreement with the theoretical prediction for this design. This approach could be used to fabricate stacked lenses for white light LED or solar applications.

Autosomal Dominant Gene Negative Frontotemporal Dementia-Think of SCA17

SCA 17 is a rare, autosomal dominant disorder caused by TBP gene CAG/CAA repeat expansion. Ataxia and dementia are common. The presence of frontal dysfunction at outset of the disease may mimic frontotemporal dementia (FTD). Parkinsonism, chorea, dystonia, and pyramidal signs may occur. We report an Irish family with autosomal dominant partially penetrant frontal dementia with cerebellar atrophy due to SCA17 and present detailed neuropsychological assessment for the first time. A 44-year-old doctor presented with 18-month history of behavioral problems. She slowed down, became apathetic, and unable to multitask. She became more irritable and short tempered, and her work performance deteriorated. Brain MRI showed cerebellar atrophy and cerebellar hypometabolism was noted on FDG-PET. A sister developed personality changes at age 45 with apathy, and had problems with memory and social skills; another sister at age 39 became dysarthric and unsteady. A brother at age 52 demonstrated emotional lability, and became dysarthric, unsteady, and slowed down. Their mother aged 73 had an abnormal antalgic gait due to arthritis; their father was jocular and disinhibited. MAPT testing detected an exon 9 c.726C>T variant in the proband. Subsequent testing in nine siblings and both parents failed to show co-segregation with disease. SCA17 testing revealed a TBP gene 43 repeat expansion that co-segregated in all affected siblings and in the mother whose gait problems were initially attributed to arthritis. In over 80% of cases of FTD with clear autosomal dominant inheritance, causative gene defects involve MAPT, GRN, or C9orf72 mutations. A minority involves VCP, FUS, and CHMP2B. As evident from our case, SCA17 testing should also be considered, especially if cerebellar atrophy if found on imaging. Segregation analysis is crucial. MAPT variant (c.726C>T exon 9) detected in the family was deemed a polymorphism.

Modifying Interhospital Hepatopancreatobiliary Transfers Based on Predictive Analytics: Moving from a Center of Excellence to a Health-Care System of Excellence

Regionalization of complex surgical care has increased interhospital transfers to quaternary centers within large health-care systems. Risk-based patient selection is imperative to improve resource allocation without compromising care. This study aimed to develop predictive models for identifying low-risk patients for transfer to a fully integrated satellite hepatopancreatobiliary (HPB) service in the northeast region of the health-care system. HPB transfers to the quaternary center over 15 months from hospitals in proximity to the satellite HPB center. A predictive tool was developed based on simple pretransfer variables and outcomes for 30-day major complications (Clavien grade ≥ 3), readmission, and mortality. Thresholds for "low risk" were set at different SDs below mean for each model. Predictive models were developed from 51 eligible northeast region patient transfers for major complications (Brier score 0.1948, receiver operator characteristic (ROC) 0.7123, P = 0.0009), readmission (Brier score 0.0615, ROC 0.7368, P = 0.0020), and mortality (Brier score 0.0943, ROC 0.7989, P = 0.0023). Thresholds set from 2 SD below the mean for all models identified 2 as "low risk." Adjusting the threshold for the serious complication model to only 1 SD below the mean increased the "low-risk" cohort to five patients. These models demonstrate an easy-to-use tool to assist surgeons in identifying low-risk patients for diversion to a fully integrated satellite center. Improved interhospital transfers within a region could begin a transition from centers of excellence toward health-care systems of excellence.

Modifying Interhospital Hepatopancreatobiliary Transfers Based on Predictive Analytics: Moving from a Center of Excellence to a Health-Care System of Excellence

Regionalization of complex surgical care has increased interhospital transfers to quaternary centers within large health-care systems. Risk-based patient selection is imperative to improve resource allocation without compromising care. This study aimed to develop predictive models for identifying low-risk patients for transfer to a fully integrated satellite hepatopancreatobiliary (HPB) service in the northeast region of the health-care system. HPB transfers to the quaternary center over 15 months from hospitals in proximity to the satellite HPB center. A predictive tool was developed based on simple pretransfer variables and outcomes for 30-day major complications (Clavien grade ≥ 3), readmission, and mortality. Thresholds for “low risk” were set at different SDs below mean for each model. Predictive models were developed from 51 eligible northeast region patient transfers for major complications (Brier score 0.1948, receiver operator characteristic (ROC) 0.7123, P = 0.0009), readmission (Brier score 0.0615, ROC 0.7368, P = 0.0020), and mortality (Brier score 0.0943, ROC 0.7989, P = 0.0023). Thresholds set from 2 SD below the mean for all models identified 2 as “low risk.” Adjusting the threshold for the serious complication model to only 1 SD below the mean increased the “low-risk” cohort to five patients. These models demonstrate an easy-to-use tool to assist surgeons in identifying low-risk patients for diversion to a fully integrated satellite center. Improved interhospital transfers within a region could begin a transition from centers of excellence toward health-care systems of excellence.

Impacting on factors promoting intra-group aggression in secure psychiatric settings

Three preliminary and linked studies investigate the impact of making alterations to factors considered relevant to engaging in and experiencing intra-group aggression (bullying) among adult male patients detained in a single secure forensic hospital. Study one (n = 44) outlines the institutional factors, attitudes towards bullying and environmental factors that increase the likelihood of engaging in bullying and/or being victimised. Study two (n = 53 patients and 167 staff) assesses the effect of three variations of intervention that aimed to reduce intra-group aggression through direct alteration of the physical and psychosocial environment, using data from both patients and staff. Study three (n = 414) looks at the effects of two variations of the intervention used in study two, which offered patients’ participation in individual and communal activities. It was predicted that changes to the physical and social environment would produce a reduction in the factors shown to predict intra-group aggression. Attitudes supportive of bullying and the presence of social hierarchies each increased the likelihood of engaging in bullying. Indirect changes to the social environment on the wards had more positive effects than those incorporating direct alterations to the physical and social environment. The differences in effectiveness of the two approaches are discussed in relation to the established predictors of intra-group aggression. The research concludes by noting the preliminary nature of the research and outlining potential directions for future research and intervention.

Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity

Dual-calibrated fMRI is a multi-parametric technique that allows for the quantification of the resting oxygen extraction fraction (OEF), the absolute rate of cerebral metabolic oxygen consumption (CMRO2), cerebral vascular reactivity (CVR) and baseline perfusion (CBF). It combines measurements of arterial spin labelling (ASL) and blood oxygenation level dependent (BOLD) signal changes during hypercapnic and hyperoxic gas challenges. Here we propose an extension to this methodology that permits the simultaneous quantification of the effective oxygen diffusivity of the capillary network (DC). The effective oxygen diffusivity has the scope to be an informative biomarker and useful adjunct to CMRO2, potentially providing a non-invasive metric of microvascular health, which is known to be disturbed in a range of neurological diseases. We demonstrate the new method in a cohort of healthy volunteers (n = 19) both at rest and during visual stimulation. The effective oxygen diffusivity was found to be highly correlated with CMRO2 during rest and activation, consistent with previous PET observations of a strong correlation between metabolic oxygen demand and effective diffusivity. The increase in effective diffusivity during functional activation was found to be consistent with previously reported increases in capillary blood volume, supporting the notion that measured oxygen diffusivity is sensitive to microvascular physiology.

Routine versus difficult cholecystectomy: using predictive analytics to assess patient outcomes

BACKGROUND

The American College of Surgeons National Surgical Quality Improvement Program^® (NSQIP) Surgical Risk. Calculator (SRC) estimates postoperative outcomes. The aim of this study was to develop and validate a specific predictive outcomes model for cholecystectomy procedures.

METHODS

Patients who underwent cholecystectomy between 2008 and 2016 and were deemed too high risk for acute care general surgery (GS) and had surgery performed by the Division of Hepatopancreatobiliary Surgery (HPB) were identified. Outcomes of the HPB cholecystectomies were matched against cholecystectomies performed by GS. New predictive models for postoperative outcomes were constructed. Area under the curve was used to assess predictive accuracy for both models and internal validation was performed using bootstrap logistic regression.

RESULTS

A total of 169/934 (18%) cholecystectomies were identified as too high risk for GS. These 169 patients were matched with 126 patients who had cholecystectomy performed by GS. For GS and HPB cholecystectomies, the proposed model demonstrated better discriminative ability compared to the SRC based on ROC curves (proposed model: 0.589-0.982; SRC: 0.570-0.836) for each of the predicted outcomes.

CONCLUSION

For patients undergoing cholecystectomy, customized models are superior for predicting individual perioperative risk and allow more accurate, patient-specific delivery of care.

Association between Type 1 Modic Changes and Propionibacterium Acnes Infection in the Cervical Spine: An Observational Study

BACKGROUND AND PURPOSE

Research on the association between Propionibacterium acnes in the disc space and type 1 Modic changes in adjacent vertebrae is limited and has produced mixed results. The prevalence of bacteria in intervertebral discs contradicts the prior understanding that skeletal areas in the human anatomy are sterile; yet it opens new treatment possibilities. We investigated the relationship of P acnes and type 1 Modic changes in the cervical spine.

MATERIALS AND METHODS

Over a 36-month period, we collected intraoperative biopsies of patients undergoing a routine cervical spine operation for degenerative disc diseases. The disc material was cultured aerobically and anaerobically for 7 days. All preoperative MR images were evaluated for Modic changes by a board-certified neuroradiologist. Medical records were reviewed for other spine interventions before the operation.

RESULTS

The study population consisted of 48 patients. Of these, 14 patients tested positive for P acnes (29%) at ≥1 level. Additionally, 13 patients had type 1 Modic changes (27%) at ≥1 level; 54% (95% CI, 27%-84%) of patients who had type 1 Modic changes were also positive for P acnes compared with 20% (95% CI, 7%-33%) of patients without type 1 Modic changes. The difference between these proportions was 34% (95% CI, 4%-64%). The Fisher exact test produced a P value of .03 for the association between P acnes and MC1, and .53 for the association between P acnes and prior procedures.

CONCLUSIONS

We conclude that P acnes was prevalent in the degenerated cervical spine and that type 1 Modic changes were predictive of a culture positive for P acnes. We also found that the prevalence of P acnes was not associated with previous interventions. If these results are validated by future studies, they could have a major impact on the standard of care for back and neck pain.

Developing and validating a center-specific preoperative prediction calculator for risk of outcomes following major hepatectomy procedures

BACKGROUND

The American College of Surgeons NSQIP^® Surgical Risk Calculator (SRC) was developed to estimate postoperative outcomes. Our goal was to develop and validate an institution-specific risk calculator for patients undergoing major hepatectomy at Carolinas Medical Center (CMC).

METHODS

Outcomes generated by the SRC were recorded for 139 major hepatectomies performed at CMC (2008-2016). Novel predictive models for seven postoperative outcomes were constructed and probabilities calculated. Brier score and area under the curve (AUC) were employed to assess accuracy. Internal validation was performed using bootstrap logistic regression. Logistic regression models were constructed using bivariate and multivariate analyses.

RESULTS

Brier scores showed no significant difference in the predictive ability of the SRC and CMC model. Significant differences in the discriminative ability of the models were identified at the individual level. Both models closely predicted 30-day mortality (SRC AUC: 0.867; CMC AUC: 0.815). The CMC model was a stronger predictor of individual postoperative risk for six of seven outcomes (SRC AUC: 0.531-0.867; CMC AUC: 0.753-0.970).

CONCLUSION

Institution-specific models provide superior outcome predictions of perioperative risk for patients undergoing major hepatectomy. If properly developed and validated, institution-specific models can be used to deliver more accurate, patient-specific care.