Efficacy and safety of golimumab in patients with non-radiographic axial spondyloarthritis: a withdrawal and retreatment study (GO-BACK).

OBJECTIVES: The GO-BACK study was designed to evaluate the efficacy and safety of golimumab (GLM) treatment withdrawal in adults with non-radiographic axial spondyloarthritis (nr-axSpA) who demonstrate inactive disease during a 10-month open-label (OL) GLM run-in. METHODS: Eligible participants received OL GLM in period 1. In period 2, participants who achieved inactive disease were randomized 1:1:1 to receive double-blind (DB) treatment with monthly placebo (PBO, treatment withdrawal) or continued GLM treatment given monthly (GLM QMT) or every 2 months (GLM Q2MT). Participants who did not have a disease flare continued DB treatment for ∼12 months. Participants with a disease flare discontinued DB treatment and resumed monthly OL GLM. Primary endpoint compared the proportion of participants without a disease flare in the continued GLM treatment groups (QMT or Q2MT) vs PBO in a multiplicity-controlled, step-down fashion. Safety follow-up continued for ∼3 months after last treatment. RESULTS: A total of 188 patients, out of the 323 enrolled, were eligible for participation in period 2. Both GLM QMT and GLM Q2MT were superior to treatment withdrawal (PBO) in preventing disease flare (P < 0.001), with a treatment-difference vs PBO of 50.4% and 34.4% for the GLM QMT and GLM Q2MT groups, respectively. The time-to-first flare was significantly longer (log-rank P < 0.0001) with GLM treatment compared with PBO. Of 53 participants (in Q2MT or PBO) who had a confirmed disease flare, 51 (96.2%) attained a clinical response within 3 months of restarting OL GLM. Adverse events were consistent with the known GLM safety profile. CONCLUSION: Among participants with active nr-axSpA who attained inactive disease after 10 months of GLM treatment, continued GLM treatment is well tolerated and provides superior protection against disease flares compared with GLM withdrawal. (EudraCT: 2015-004020-65, registered on 30 March 2022; NCT: 03253796, registered on 18 August 2017.).

Congenital Ewing Sarcoma Presenting as a Rapidly Growing Neck Mass in a Newborn.

BACKGROUND: Ewing sarcoma (EWS) is an aggressive soft-tissue and bone malignancy. Congenital EWS is extremely rare, and its presenting features can be unique from that of EWS occurring in older children. CLINICAL FINDINGS: A full-term female infant with a neck mass present at birth was admitted to a level I nursery with an otherwise well appearance and normal vital signs. After consultation with a neonatologist, she was transferred to a neonatal intensive care unit where she developed sudden respiratory collapse from rapid growth of the mass causing airway obstruction, leading to emergent intubation. Ultrasound and MRI scans of the neck mass demonstrated cystic and vascular components, and a timely biopsy revealed small round blue cells with diffuse CD99 expression and chromosomal translocation 11;22. PRIMARY DIAGNOSIS: Ewing sarcoma. INTERVENTIONS: An accelerated workup for EWS was done due to the patient's critical status. On day of life (DOL) 8, she was started on treatment of EWS as per the current standard-of-care AEWS0031. On DOL 24, she underwent tracheostomy placement. OUTCOMES: The patient completed 14 total cycles of chemotherapy and is more than 12 months old. Her tracheostomy was decannulated at 6 months of age. PRACTICE RECOMMENDATIONS: The rarity of EWS in neonates and its presentation as a neck mass make this disease difficult to recognize unless clinicians have a high index of suspicion. The aims of this case report are to increase awareness of malignancy as a potential cause of neck masses in neonates and to prompt nurses and physicians to prepare for airway stabilization at appropriate levels of care if a neck mass is present at birth.

Long-term tolerability and efficacy of golimumab in active non-radiographic axial spondyloarthritis: results from open-label extension.

OBJECTIVES: We report the open-label extension (OLE) of the GO-AHEAD study evaluating the long-term efficacy and safety of golimumab (GLM) in patients with non-radiographic axial spondyloarthritis (nr-axSpA). METHODS: Patients [both GLM- and placebo (PBO)-treated in the double-blind phase] received GLM 50 mg every 4 weeks during the OLE (36-week treatment; additional 8-week safety follow-up; GLM/GLM and PBO/GLM groups). All patients who entered and received ≥1 dose of study treatment in the OLE were included in the efficacy and safety analyses. The primary efficacy evaluations were the proportions of patients achieving 20% and 40% improvement in the ASAS criteria (ASAS20 and ASAS40, respectively). Responders' analyses were calculated using a non-responder imputation approach. RESULTS: Of 198 patients randomised, 189/198 (95.5%) entered the OLE; 174/198 patients (87.9%) completed all visits. Although the proportion of responders increased from week 16 to week 52 in the OLE in both GLM/GLM and PBO/GLM groups, the GLM/GLM group had a higher proportion of responders than the PBO/GLM group throughout the OLE from week 16 to week 52 (ASAS20: 71.1% to 83.9% vs 40.0% to 75.0%, respectively; ASAS40: 56.7% to 76.3% vs 23.0% to 59.4%, respectively; ASAS partial remission: 33.0% to 53.8% and 18.0% to 45.8%). In the OLE, the overall incidence of AEs was lower in the GLM/GLM vs PBO/GLM groups (41.9% and 54.2%). CONCLUSIONS: Sustained improvement in clinical efficacy was observed at 52 weeks in patients with nr-axSpA following GLM treatment. GLM was well tolerated and provided substantial long-term benefits to patients with nr-axSpA. TRIAL REGISTRATION: NCT01453725; United States National Library of Medicine clinical trials database; www.clinicaltrials.gov.

In vitro efficacy of 2,N-bisarylated 2-ethoxyacetamides against Plasmodium falciparum.

Investigation of a series of 2,N-bisarylated 2-ethoxyacetamides resulted in the identification of four inhibitors 5, 20, 24, 29 with single-digit micromolar in vitro efficacy against two drug-resistant Plasmodium falciparum strains. These compounds are analogs of structurally-related 1,3-bisaryl-2-propen-1-ones (chalcones), the latter showing efficacy in vitro but not in a malaria-infected mouse. The 2,N-bisarylated 2-ethoxyacetamides (e.g., 2, 5, 20) were shown to possess significantly greater stability in the presence of metabolizing enzymes than the corresponding 1,3-bisaryl-2-propen-1-ones (e.g., 1, 3, 18).

Generating pedestrian trajectories consistent with the fundamental diagram based on physiological and psychological factors.

Pedestrian crowds often have been modeled as many-particle system including microscopic multi-agent simulators. One of the key challenges is to unearth governing principles that can model pedestrian movement, and use them to reproduce paths and behaviors that are frequently observed in human crowds. To that effect, we present a novel crowd simulation algorithm that generates pedestrian trajectories that exhibit the speed-density relationships expressed by the Fundamental Diagram. Our approach is based on biomechanical principles and psychological factors. The overall formulation results in better utilization of free space by the pedestrians and can be easily combined with well-known multi-agent simulation techniques with little computational overhead. We are able to generate human-like dense crowd behaviors in large indoor and outdoor environments and validate the results with captured real-world crowd trajectories.

Causal effects of body mass index on cardiometabolic traits and events: a Mendelian randomization analysis.

Elevated body mass index (BMI) associates with cardiometabolic traits on observational analysis, yet the underlying causal relationships remain unclear. We conducted Mendelian randomization analyses by using a genetic score (GS) comprising 14 BMI-associated SNPs from a recent discovery analysis to investigate the causal role of BMI in cardiometabolic traits and events. We used eight population-based cohorts, including 34,538 European-descent individuals (4,407 type 2 diabetes (T2D), 6,073 coronary heart disease (CHD), and 3,813 stroke cases). A 1 kg/m(2) genetically elevated BMI increased fasting glucose (0.18 mmol/l; 95% confidence interval (CI) = 0.12-0.24), fasting insulin (8.5%; 95% CI = 5.9-11.1), interleukin-6 (7.0%; 95% CI = 4.0-10.1), and systolic blood pressure (0.70 mmHg; 95% CI = 0.24-1.16) and reduced high-density lipoprotein cholesterol (-0.02 mmol/l; 95% CI = -0.03 to -0.01) and low-density lipoprotein cholesterol (LDL-C; -0.04 mmol/l; 95% CI = -0.07 to -0.01). Observational and causal estimates were directionally concordant, except for LDL-C. A 1 kg/m(2) genetically elevated BMI increased the odds of T2D (odds ratio [OR] = 1.27; 95% CI = 1.18-1.36) but did not alter risk of CHD (OR 1.01; 95% CI = 0.94-1.08) or stroke (OR = 1.03; 95% CI = 0.95-1.12). A meta-analysis incorporating published studies reporting 27,465 CHD events in 219,423 individuals yielded a pooled OR of 1.04 (95% CI = 0.97-1.12) per 1 kg/m(2) increase in BMI. In conclusion, we identified causal effects of BMI on several cardiometabolic traits; however, whether BMI causally impacts CHD risk requires further evidence.

Hybrid Long-Range Collision Avoidance for Crowd Simulation.

Local collision avoidance algorithms in crowd simulation often ignore agents beyond a neighborhood of a certain size. This cutoff can result in sharp changes in trajectory when large groups of agents enter or exit these neighborhoods. In this work, we exploit the insight that exact collision avoidance is not necessary between agents at such large distances, and propose a novel algorithm for extending existing collision avoidance algorithms to perform approximate, long-range collision avoidance. Our formulation performs long-range collision avoidance for distant agent groups to efficiently compute trajectories that are smoother than those obtained with state-of-the-art techniques and at faster rates. Comparison to real-world data demonstrates that crowds simulated with our algorithm exhibit an improved speed sensitivity to density similar to human crowds. Another issue often sidestepped in existing work is that discrete and continuum collision avoidance algorithms have different regions of applicability. For example, low-density crowds cannot be modeled as a continuum, while high-density crowds can be expensive to model using discrete methods. We formulate a hybrid technique for crowd simulation which can accurately and efficiently simulate crowds at any density with seamless transitions between continuum and discrete representations. Our approach blends results from continuum and discrete algorithms, based on local density and velocity variance. In addition to being robust across a variety of group scenarios, it is also highly efficient, running at interactive rates for thousands of agents on portable systems.

Evaluation of etoricoxib in patients undergoing total knee replacement surgery in a double-blind, randomized controlled trial.

BACKGROUND: Optimal postoperative pain management is important to ensure patient comfort and early mobilization. METHODS: In this double-blind, placebo- and active-controlled, randomized clinical trial, we evaluated postoperative pain following knee replacement in patients receiving placebo, etoricoxib (90 or 120 mg), or ibuprofen 1800 mg daily for 7 days. Patients ≥18 years of age who had pain at rest ≥5 (0-10 Numerical Rating Scale [NRS]) after unilateral total knee replacement were randomly assigned to placebo (N = 98), etoricoxib 90 mg (N = 224), etoricoxib 120 mg (N = 230), or ibuprofen 1800 mg (N = 224) postoperatively. Co-primary endpoints included Average Pain Intensity Difference at Rest over Days 1-3 (0- to 10-point NRS) and Average Total Daily Dose of Morphine over Days 1-3. Pain upon movement was evaluated using Average Pain Intensity Difference upon Knee Flexion (0- to 10-point NRS). The primary objective was to demonstrate analgesic superiority for the etoricoxib doses vs. placebo; the secondary objective was to demonstrate that the analgesic effect of the etoricoxib doses was non-inferior to ibuprofen. Adverse experiences (AEs) including opioid-related AEs were evaluated. RESULTS: The least squares (LS) mean (95% CI) differences from placebo for Pain Intensity Difference at Rest over Days 1-3 were -0.54 (-0.95, -0.14); -0.49 (-0.89, -0.08); and -0.45 (-0.85, -0.04) for etoricoxib 90 mg, etoricoxib 120 mg, and ibuprofen, respectively (p < 0.05 for etoricoxib vs. placebo). Differences in LS Geometric Mean Ratio morphine use over Days 1-3 from placebo were 0.66 (0.54, 0.82); 0.69 (0.56, 0.85); and 0.66 (0.53, 0.81) for etoricoxib 90 mg, etoricoxib 120 mg, and ibuprofen, respectively (p < 0.001 for etoricoxib vs. placebo). Differences in LS Mean Pain Intensity upon Knee Flexion were -0.37 (-0.85, 0.11); -0.46 (-0.94, 0.01); and -0.42 (-0.90, 0.06) for etoricoxib 90 mg, etoricoxib 120 mg, and ibuprofen, respectively. Opioid-related AEs occurred in 41.8%, 34.7%, 36.5%, and 36.3% of patients on placebo, etoricoxib 90 mg, etoricoxib 120 mg, and ibuprofen, respectively. CONCLUSIONS: Postoperative use of etoricoxib 90 and 120 mg in patients undergoing total knee replacement is both superior to placebo and non-inferior to ibuprofen in reducing pain at rest and also reduces opioid (morphine) consumption. CLINICAL TRIAL REGISTRATION: NCT00820027.

Lung eQTLs to help reveal the molecular underpinnings of asthma.

Genome-wide association studies (GWAS) have identified loci reproducibly associated with pulmonary diseases; however, the molecular mechanism underlying these associations are largely unknown. The objectives of this study were to discover genetic variants affecting gene expression in human lung tissue, to refine susceptibility loci for asthma identified in GWAS studies, and to use the genetics of gene expression and network analyses to find key molecular drivers of asthma. We performed a genome-wide search for expression quantitative trait loci (eQTL) in 1,111 human lung samples. The lung eQTL dataset was then used to inform asthma genetic studies reported in the literature. The top ranked lung eQTLs were integrated with the GWAS on asthma reported by the GABRIEL consortium to generate a Bayesian gene expression network for discovery of novel molecular pathways underpinning asthma. We detected 17,178 cis- and 593 trans- lung eQTLs, which can be used to explore the functional consequences of loci associated with lung diseases and traits. Some strong eQTLs are also asthma susceptibility loci. For example, rs3859192 on chr17q21 is robustly associated with the mRNA levels of GSDMA (P = 3.55 × 10(-151)). The genetic-gene expression network identified the SOCS3 pathway as one of the key drivers of asthma. The eQTLs and gene networks identified in this study are powerful tools for elucidating the causal mechanisms underlying pulmonary disease. This data resource offers much-needed support to pinpoint the causal genes and characterize the molecular function of gene variants associated with lung diseases.

Perioperative use of etoricoxib reduces pain and opioid side-effects after total abdominal hysterectomy: a double-blind, randomized, placebo-controlled phase III study.

OBJECTIVE: To evaluate the effects of two different doses of etoricoxib delivered perioperatively compared with placebo and standard pain management on pain at rest, pain with mobilization, and use of additional morphine/opioids postoperatively. RESEARCH DESIGN AND METHODS: In this double-blind, placebo-controlled, randomized clinical trial, we evaluated postoperative pain following total abdominal hysterectomy over 5 days in patients receiving placebo or etoricoxib administered 90 min prior to surgery and continuing postoperatively. Patients were randomly assigned to receive either placebo (n = 144), etoricoxib 90 mg/day (n = 142), or etoricoxib 120 mg/day (n = 144). Average Pain Intensity at Rest over days 1-3 (0- to 10-point numerical rating scale [NRS]) was the primary efficacy endpoint. Secondary endpoints included Average Pain Intensity upon Sitting, Standing, and Walking over days 1-3 (0- to 10-point NRS) as well as Average Total Daily Dose of Morphine over days 1-3. CLINICAL TRIAL REGISTRATION: This trial is registered on www.clinicaltrials.gov (NCT00788710). RESULTS: The least squares (LS) means (95% CI) for the primary endpoint were 3.26 (2.96, 3.55); 2.46 (2.16, 2.76); and 2.40 (2.11, 2.69) for placebo, etoricoxib 90 mg, and etoricoxib 120 mg, respectively, significantly different for both etoricoxib doses versus placebo (p < 0.001). Patients on etoricoxib 90 mg and 120 mg required ~30% less morphine per day than those on placebo (p < 0.001), which led to more rapid bowel recovery in the active treatment groups by ~10 hours vs. placebo. A greater proportion of patients on etoricoxib (10-30% greater than placebo) achieved mild levels of pain with movement, defined as pain ≤3/10. LIMITATIONS: A key limitation for this study was that movement-evoked pain measurements were not designated as primary endpoints. CONCLUSION: In patients undergoing total abdominal hysterectomy, etoricoxib 90 mg and 120 mg dosed preoperatively and then continued postoperatively significantly reduces both resting and movement-related pain, as well as reduced opioid (morphine) consumption that led to more rapid bowel recovery.

Least-effort trajectories lead to emergent crowd behaviors.

Pedestrian crowds often have been modeled as many-particle systems, usually using computer models known as multiagent simulations. The key challenge in modeling crowds is to develop rules that guide how the particles or agents interact with each other in a way that faithfully reproduces paths and behaviors commonly seen in real human crowds. Here, we propose a simple and intuitive formulation of these rules based on biomechanical measurements and the principle of least effort. We present a constrained optimization method to compute collision-free paths of minimum caloric energy for each agent, from which collective crowd behaviors can be reproduced. We show that our method reproduces common crowd phenomena, such as arching and self-organization into lanes. We also validate the flow rates and paths produced by our method and compare them to those of real-world crowd trajectories.

Blood pressure and cardiovascular outcomes in patients taking nonsteroidal antiinflammatory drugs.

INTRODUCTION: The increased thrombotic cardiovascular (CV) risk in trials of cyclo-oxygenase-2 (COX-2) inhibitors versus placebo, and the apparent similar risk with nonsteroidal antiinflammatory drugs (NSAIDs), may be related to their potential to elevate blood pressure (BP). AIMS: We evaluated the relationship between baseline BP and change in BP on CV events (CVEs) in patients receiving NSAIDs or COX-2 inhibitors in the prospective randomized, double-blind, Multinational Etoricoxib and Diclofenac Arthritis Long-term Program (N = 34,701) comparing etoricoxib 60 or 90 mg or diclofenac 150 mg daily for a mean duration of 18 months. The main outcome measure was confirmed thrombotic CVEs. The Antiplatelet Trialists' Collaboration endpoint, all-cause mortality, CV/congestive heart failure (CHF) mortality, and CHF incidence were similarly evaluated. RESULTS: We found that baseline systolic BP (SBP) was associated with significantly higher risk of all events (P < 0.001). Baseline diastolic BP (DBP) was inversely and significantly associated with risk of all events (P < 0.001 to P = 0.016) except CV/CHF mortality (P = 0.054). There was no significant differential effect between etoricoxib and diclofenac in relation to CVEs, except for confirmed CHF, for which the risk was significantly higher with etoricoxib (P = 0.019). Only CHF risk (P = 0.020 for both SBP and DBP change), but not thrombotic endpoints, was significantly associated with change in BP from months 0 to 4. These findings were not meaningfully altered after covariate adjustment for baseline CV risk. CONCLUSIONS: Baseline BP, but not change in BP, was significantly associated with risk of thrombotic CVEs through 18 months. The CV risk of COX-2s and NSAIDs did not appear to be related to the BP-elevating effects of these agents, although such analyses, i.e., from randomized controlled trials, are unable to definitively exclude such a relationship.

Evaluation of NT-proBNP and high sensitivity C-reactive protein for predicting cardiovascular risk in patients with arthritis taking longterm nonsteroidal antiinflammatory drugs.

OBJECTIVE: Patients with arthritis frequently are at increased risk for future cardiovascular (CV) events. We investigated the performance of the cardiac biomarkers N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high sensitivity C-reactive protein (hsCRP) for predicting CV events in patients with arthritis taking chronic nonsteroidal antiinflammatory drugs (NSAID). METHODS: We evaluated 2-year CV outcomes in a prospective, nested biomarker study among patients (N = 6273) with rheumatoid arthritis and osteoarthritis treated with NSAID in the MEDAL (Multinational Etoricoxib and Diclofenac Arthritis Long-term) trial. Patients were stratified by quartiles of baseline NT-proBNP and established cutpoints of NT-proBNP and hsCRP. RESULTS: NT-proBNP demonstrated a strong graded relationship with CV outcomes, including CV death (p for trend < 0.0001), myocardial infarction (MI) (p for trend = 0.02), heart failure (HF) (p for trend < 0.0001), and a composite of thrombotic events (CV death, MI, stroke) or HF (p for trend < 0.0001). Baseline levels of hsCRP were not associated with CV events (CV death/MI/stroke/HF; p for trend = 0.65). NT-proBNP remained strongly predictive of CV events after adjustment for age, sex, diabetes, hypertension, hyperlipidemia, smoking, type of arthritis, body mass index, creatinine clearance, history of CV disease, and hsCRP (CV death/MI/stroke/HF: Q4 vs Q1 hazard ratio 3.53, 95% CI 1.89-6.58). Patients with a NT-proBNP level below 100 pg/ml had a 0.94% rate of thrombotic events or heart failure at 2 years. CONCLUSION: NT-proBNP is a simple and robust noninvasive indicator of CV risk in patients with arthritis. Risk stratification based on NT-proBNP may facilitate identification of patients with arthritis who are at low CV risk during chronic NSAID treatment.

In vitro biotransformation, in vivo efficacy and pharmacokinetics of antimalarial chalcones.

4'-n-Butoxy-2,4-dimethoxy-chalcone (MBC) has been described as protecting mice from an otherwise lethal infection with Plasmodium yoelii when dosed orally at 50 mg/kg/dose, daily for 5 days. In contrast, we found that oral dosing of MBC at 640 mg/kg/dose, daily for 5 days, failed to extend the survivability of P. berghei-infected mice. The timing of compound administration and metabolic activation likely contribute to the outcome of efficacy testing in vivo. Microsomal digest of MBC yielded 4'-n-butoxy-4-hydroxy-2-methoxy-chalcone and 4'-(1-hydroxy-n-butoxy)-2,4-dimethoxy-chalcone. We propose that the latter will hydrolyze in vivo to 4'-hydroxy-2,4-dimethoxy-chalcone, which has greater efficacy than MBC in our P. berghei-infected mouse model and was detected in plasma following oral dosing of mice with MBC. Pharmacokinetic parameters suggest that poor absorption, distribution, metabolism and excretion properties contribute to the limited in vivo efficacy observed for MBC and its analogs.

Directing crowd simulations using navigation fields.

We present a novel approach to direct and control virtual crowds using navigation fields. Our method guides one or more agents toward desired goals based on guidance fields. The system allows the user to specify these fields by either sketching paths directly in the scene via an intuitive authoring interface or by importing motion flow fields extracted from crowd video footage. We propose a novel formulation to blend input guidance fields to create singularity-free, goal-directed navigation fields. Our method can be easily combined with the most current local collision avoidance methods and we use two such methods as examples to highlight the potential of our approach. We illustrate its performance on several simulation scenarios.

Factors associated with blood pressure changes in patients receiving diclofenac or etoricoxib: results from the MEDAL study.

OBJECTIVE: To evaluate the hypertensive effects of etoricoxib and diclofenac relative to baseline hypertension risk factors in arthritis patients. METHODS: Multivariate analysis of data from the Multinational Etoricoxib and Diclofenac Arthritis Long-term (MEDAL) study (n = 23 504). We evaluated risk factors for change in systolic blood pressure (BP) (SBP) and diastolic BP (DBP) at 4 months versus baseline; exceeding predefined limits of change (PLoC) in BP anytime during the study; and the effect of concomitant antihypertensive class on SBP and exceeding SBP PLoC. RESULTS: Increased SBP was most highly associated with history of hypertension (+3.04 mmHg; P < 0.0001), as were increased DBP (+1.28 mmHg; P < 0.0001), and exceeding DBP PLoC [odds ratio (OR) = 1.83; P < 0.0001]. Exceeding SBP PLoC (OR = 1.50; P < 0.0001) was most highly associated with age at least 65 years. Etoricoxib (vs. diclofenac) was also significantly associated with increased SBP (P < 0.0001), DPB (P < 0.0001 to P = 0.0015), and exceeding SBP PLoC (P < 0.0001 to P = 0.002). Compared with no antihypertensive medication, background calcium channel blockers (CCB) were associated with a small, nonsignificant decrease in SBP (-0.60 mmHg) and no increased odds of exceeding SBP PLoC [OR = 1.00 (95% CI 0.71, 1.42)]. All other antihypertensive classes were associated with either no change or numerically or statistically significantly increased SBP and increased odds of exceeding PLoC. CONCLUSION: History of hypertension and age at least 65 years were most strongly associated with increased BP. Treatment with etoricoxib vs. diclofenac was also a significant factor for increased BP. CCBs appear to maintain antihypertensive effects with concurrent NSAID therapy better than other examined antihypertensive drug classes.

ICCD: interactive continuous collision detection between deformable models using connectivity-based culling.

We present an interactive algorithm for continuous collision detection between deformable models. We introduce multiple techniques to improve the culling efficiency and the overall performance of continuous collision detection. First, we present a novel formulation for continuous normal cones and use these normal cones to efficiently cull large regions of the mesh as part of self-collision tests. Second, we introduce the concept of "procedural representative triangles" to remove all redundant elementary tests between nonadjacent triangles. Finally, we exploit the mesh connectivity and introduce the concept of "orphan sets" to eliminate redundant elementary tests between adjacent triangle primitives. In practice, we can reduce the number of elementary tests by two orders of magnitude. These culling techniques have been combined with bounding volume hierarchies and can result in one order of magnitude performance improvement as compared to prior collision detection algorithms for deformable models. We highlight the performance of our algorithm on several benchmarks, including cloth simulations, N-body simulations, and breaking objects.

Baseline factors associated with congestive heart failure in patients receiving etoricoxib or diclofenac: multivariate analysis of the MEDAL program.

AIMS: Non-steroidal anti-inflammatory drugs have been associated with increased risk of congestive heart failure (CHF). We aimed to assess the impact of treatment with etoricoxib or diclofenac on risk of CHF relative to baseline risk factors. METHODS AND RESULTS: We performed a multivariate analysis of 34 701 patients with arthritis receiving etoricoxib 60 or 90 mg, or diclofenac 150 mg, daily for a mean of 18 months, to assess the incidence of confirmed, adjudicated CHF events resulting in emergency room visit or hospitalization. Analyses were performed using a Cox proportional hazard model to evaluate the hazard ratio (HR) between the levels of each risk marker for the incidence of CHF. Significant risk markers included history of CHF (HR: 6.69, 95% CI 3.59-12.47; P <0.0001), age > or = 65 years (2.56, 1.65-3.98; P <0.0001), and history of hypertension (1.83, 1.16-2.89; P = 0.0094) or diabetes (1.83, 1.15-2.94; P = 0.0116). Etoricoxib vs. diclofenac was a significant risk factor only when pooling the etoricoxib 90 mg cohorts (1.88; 1.13-3.10; P = 0.0143). Etoricoxib 60 mg did not significantly increase risk vs. diclofenac. CONCLUSION: History of CHF was highly associated with risk for CHF hospitalization. Hypertension, diabetes, and older age also increased risk modestly. There appeared to be a dose-related increase in CHF with etoricoxib compared with diclofenac, which reached statistical significance when the etoricoxib 90 mg groups (osteoarthritis and rheumatoid arthritis) were pooled.