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International audience; Pancreatic adenosquamous carcinoma (PASC) account for < 5% of pancreatic malignancies. The efficacy of modern chemotherapy regimens in patients with advanced PASC is unknown. Patients with advanced PASC from 2008 to 2021 were consecutively included in this retrospective multicenter study. Overall survival (OS) and progression-free survival (PFS) were evaluated by Kaplan-Meier method. Ninety-four PASC from 16 French centers were included (median age, 67.3 years; males, 56.4%; metastatic disease, 85.1%). The first-line treatment was chemotherapy for 79 patients (84.0%) (37 FOLFIRINOX (FX), 7 Gemcitabine-nab paclitaxel (GN) and 35 for all other regimen) or best supportive care (BSC) alone for 15 patients (16.0%). No significant difference was observed between FX and GN in terms of PFS (P = .67) or OS (P = .5). Modern regimens pooled together (FX and GN) as compared to all others chemotherapy regimens showed an improvement of overall response rate (39.5% and 9.7%, P = .002), PFS (median, 7.8 vs 4.7 months, P = .02) and OS (median, 12.7 vs 9.2 months, P = .35). This large study evaluating first-line treatment regimens in advanced PASC suggests that modern regimens as FX or GN may be preferable to all other chemotherapy regimens. These results deserve confirmation in prospective studies.

Predictors of the efficacy of endoscopic dilation for caustic esophageal stricture have been poorly studied.All patients undergoing an endoscopic dilation for an esophageal caustic stricture between 1990 and 2015 in a French national reference center were included. Success of dilation was defined by self-food autonomy without the need for reconstructive esophageal surgery.During the study period, 894 patients were admitted after caustic ingestion. Among them, 101 patients developed esophageal stricture and 92 patients were eligible for analysis (missing data in 8 cases, 1 patient died before endoscopic dilation). In this cohort (median age 42 years, women 53%, strong alkali 74%, suicide attempt 77%, hydrostatic balloon use 93%), the overall success rate of dilation was 57% with a median number of 3 dilation sessions (274 sessions, range 1-17). Factors predicting the success of the procedure were: non-inflammatory stricture or non-inflammatory intercalated mucosa between stricture (88% vs 47%, p = 0.001), a single stricture versus 2 or more strictures (69% vs 47% vs 33%, respectively, p = 0.04), a stricture of less than 5 cm (70% vs 27%, p 0.001) and the existence of mild/ moderately tight or very tight stricture (70% vs 21% of success, p 0.001). Perforation rate was 6.5% (18/274) requiring emergency surgery in 2 cases.Several characteristics of caustic esophageal strictures are significantly associated with the success rate of endoscopic dilation. Our data may be useful for customizing treatment strategies in patients with a caustic stricture.

We aimed to develop deep learning models using longitudinal chest X-rays (CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive care unit (ICU).Six hundred fifty-four patients (212 deceased, 442 alive, 5645 total CXRs) were identified across two institutions. Imaging and clinical data from one institution were used to train five longitudinal transformer-based networks applying five-fold cross-validation. The models were tested on data from the other institution, and pairwise comparisons were used to determine the best-performing models.A higher proportion of deceased patients had elevated white blood cell count, decreased absolute lymphocyte count, elevated creatine concentration, and incidence of cardiovascular and chronic kidney disease. A model based on pre-ICU CXRs achieved an AUC of 0.632 and an accuracy of 0.593, and a model based on ICU CXRs achieved an AUC of 0.697 and an accuracy of 0.657. A model based on all longitudinal CXRs (both pre-ICU and ICU) achieved an AUC of 0.702 and an accuracy of 0.694. A model based on clinical data alone achieved an AUC of 0.653 and an accuracy of 0.657. The addition of longitudinal imaging to clinical data in a combined model significantly improved performance, reaching an AUC of 0.727 (p = 0.039) and an accuracy of 0.732.The addition of longitudinal CXRs to clinical data significantly improves mortality prediction with deep learning for COVID-19 patients in the ICU.• Deep learning was used to predict mortality in COVID-19 ICU patients. • Serial radiographs and clinical data were used. • The models could inform clinical decision-making and resource allocation.

Objectives Early recognition of coronavirus disease 2019 (COVID-19) severity can guide patient management. However, it is challenging to predict when COVID-19 patients will progress to critical illness. This study aimed to develop an artificial intelligence system to predict future deterioration to critical illness in COVID-19 patients. Methods An artificial intelligence (AI) system in a time-to-event analysis framework was developed to integrate chest CT and clinical data for risk prediction of future deterioration to critical illness in patients with COVID-19. Results A multi-institutional international cohort of 1,051 patients with RT-PCR confirmed COVID-19 and chest CT was included in this study. Of them, 282 patients developed critical illness, which was defined as requiring ICU admission and/or mechanical ventilation and/or reaching death during their hospital stay. The AI system achieved a C-index of 0.80 for predicting individual COVID-19 patients’ to critical illness. The AI system successfully stratified the patients into high-risk and low-risk groups with distinct progression risks (p < 0.0001). Conclusions Using CT imaging and clinical data, the AI system successfully predicted time to critical illness for individual patients and identified patients with high risk. AI has the potential to accurately triage patients and facilitate personalized treatment. Key Point • AI system can predict time to critical illness for patients with COVID-19 by using CT imaging and clinical data. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-021-08049-8.

This study is innovative in terms of theory and results as it gives a new perspective on public service motivation (PSM) consistent with the context of Vietnamese public universities. We construct ...

Lympho-epithelial interactions between intestinal T resident memory cells (Trm) and the epithelium have been associated with inflammatory bowel disease (IBD) activity. We developed ex vivo autologous organoid-mucosal T cell cocultures to functionally assess lymphoepithelial interactions in Crohn's Disease (CD) patients compared to controls. We demonstrate the direct epithelial cell death induced by autologous mucosal T cells in CD patients but not in controls. These findings were positively correlated with T cell infiltration of the organoids. This potential was inhibited by limiting lympho-epithelial interactions through CD103 and NKG2D blocking antibodies. These data directly demonstrate for the first time the direct deleterious effect of mucosal T cells on the epithelium of CD patients. Such ex-vivo models are promising techniques to unravel the pathophysiology of these diseases and the potential mode of action of current and future therapies. ispartof: FRONTIERS IN IMMUNOLOGY vol:13 ispartof: location:Switzerland status: published

In this study, we developed a deep learning pipeline that detects large vessel occlusion (LVO) and predicts functional outcome based on computed tomography angiography (CTA) images to improve the management of the LVO patients.A series identifier picked out 8650 LVO-protocoled studies from 2015 to 2019 at Rhode Island Hospital with an identified thin axial series that served as the data pool. Data were annotated into 2 classes: 1021 LVOs and 7629 normal. The Inception-V1 I3D architecture was applied for LVO detection. For outcome prediction, 323 patients undergoing thrombectomy were selected. A 3D convolution neural network (CNN) was used for outcome prediction (30-day mRS) with CTA volumes and embedded pre-treatment variables as inputs.For LVO-detection model, CTAs from 8,650 patients (median age 68 years, interquartile range (IQR): 58-81; 3934 females) were analyzed. The cross-validated AUC for LVO vs. not was 0.74 (95% CI: 0.72-0.75). For the mRS classification model, CTAs from 323 patients (median age 75 years, IQR: 63-84; 164 females) were analyzed. The algorithm achieved a test AUC of 0.82 (95% CI: 0.79-0.84), sensitivity of 89%, and specificity 66%. The two models were then integrated with hospital infrastructure where CTA was collected in real-time and processed by the model. If LVO was detected, interventionists were notified and provided with predicted clinical outcome information.3D CNNs based on CTA were effective in selecting LVO and predicting LVO mechanical thrombectomy short-term prognosis. End-to-end AI platform allows users to receive immediate prognosis prediction and facilitates clinical workflow.

There currently lacks a noninvasive and accurate method to distinguish benign and malignant ovarian lesion prior to treatment. This study developed a deep learning algorithm that distinguishes benign from malignant ovarian lesion by applying a convolutional neural network on routine MR imaging. Five hundred forty-five lesions (379 benign and 166 malignant) from 451 patients from a single institution were divided into training, validation, and testing set in a 7:2:1 ratio. Model performance was compared with four junior and three senior radiologists on the test set. Compared with junior radiologists averaged, the final ensemble model combining MR imaging and clinical variables had a higher test accuracy (0.87 vs 0.64, p

Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intelligence (AI) system for differentiating COVID-19 and other pneumonia at chest CT and assessing radiologist performance without and with AI assistance. Materials and Methods A total of 521 patients with positive reverse transcription polymerase chain reaction results for COVID-19 and abnormal chest CT findings were retrospectively identified from 10 hospitals from January 2020 to April 2020. A total of 665 patients with non-COVID-19 pneumonia and definite evidence of pneumonia at chest CT were retrospectively selected from three hospitals between 2017 and 2019. To classify COVID-19 versus other pneumonia for each patient, abnormal CT slices were input into the EfficientNet B4 deep neural network architecture after lung segmentation, followed by a two-layer fully connected neural network to pool slices together. The final cohort of 1186 patients (132 583 CT slices) was divided into training, validation, and test sets in a 7:2:1 and equal ratio. Independent testing was performed by evaluating model performance in separate hospitals. Studies were blindly reviewed by six radiologists without and then with AI assistance. Results The final model achieved a test accuracy of 96% (95% confidence interval [CI]: 90%, 98%), a sensitivity of 95% (95% CI: 83%, 100%), and a specificity of 96% (95% CI: 88%, 99%) with area under the receiver operating characteristic curve of 0.95 and area under the precision-recall curve of 0.90. On independent testing, this model achieved an accuracy of 87% (95% CI: 82%, 90%), a sensitivity of 89% (95% CI: 81%, 94%), and a specificity of 86% (95% CI: 80%, 90%) with area under the receiver operating characteristic curve of 0.90 and area under the precision-recall curve of 0.87. Assisted by the probabilities of the model, the radiologists achieved a higher average test accuracy (90% vs 85%, Δ = 5

Background Despite its high sensitivity in diagnosing COVID-19 in a screening population, chest CT appearances of COVID 19 pneumonia are thought to be non-specific. Purpose To assess the performance of United States (U.S.) and Chinese radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Methods A total of 219 patients with both positive COVID-19 by RT-PCR and abnormal chest CT findings were retrospectively identified from 7 Chinese hospitals in Hunan Providence, China from January 6 to February 20, 2020. A total of 205 patients with positive Respiratory Pathogen Panel for viral pneumonia and CT findings consistent with or highly suspicious for pneumonia by original radiology interpretation within 7 days of each other were identified from Rhode Island Hospital in Providence, RI. Three Chinese radiologists blindly reviewed all chest CTs (n=424) to differentiate COVID-19 from viral pneumonia. A sample of 58 age-matched cases was randomly selected and evaluated by 4 U.S. radiologists in a similar fashion. Different CT features were recorded and compared between the two groups. Results For all chest CTs, three Chinese radiologists correctly differentiated COVID-19 from non-COVID-19 pneumonia 83% (350/424), 80% (338/424), and 60% (255/424) of the time, respectively. The seven radiologists had sensitivities of 80%, 67%, 97%, 93%, 83%, 73% and 70% and specificities of 100%, 93%, 7%, 100%, 93%, 93%, 100%. Compared to non-COVID-19 pneumonia, COVID-19 pneumonia was more likely to have a peripheral distribution (80% vs. 57%, p

Humoral hypercalcemia of malignancy is rarely seen in urothelial cancer. In this report, we present a case of an 81-year-old female patient who presented with a markedly elevated calcium level leading to severe altered mental status and was found to have urothelial cancer. To our knowledge, only three cases of urothelial carcinoma with squamous cell differentiation have been reported.

Background: Atrial fibrillation (AF) and heart failure (HF) frequently coexist and can be challenging to treat. Pharmacologically based rhythm control of AF has not proven to be superior to rate control. Ablation-based rhythm control was compared with rate control to evaluate if clinical outcomes in patients with HF and AF could be improved. Methods: This was a multicenter, open-label trial with blinded outcome evaluation using a central adjudication committee. Patients with high-burden paroxysmal (>4 episodes in 6 months) or persistent (duration Results: From December 1, 2011, to January 20, 2018, 411 patients were randomly assigned to ablation-based rhythm control (n=214) or rate control (n=197). The primary outcome occurred in 50 (23.4%) patients in the ablation-based rhythm-control group and 64 (32.5%) patients in the rate-control group (hazard ratio, 0.71 [95% CI, 0.49–1.03]; P =0.066). Left ventricular ejection fraction increased in the ablation-based group (10.1±1.2% versus 3.8±1.2%, P =0.017), 6-minute walk distance improved (44.9±9.1 m versus 27.5±9.7 m, P =0.025), and NT-proBNP demonstrated a decrease (mean change –77.1% versus –39.2%, P P =0.0036), as did the AF Effect on Quality of Life score (least-squares mean difference of 6.2 [95% CI, 1.7–10.7]; P =0.0005). Serious adverse events were observed in 50% of patients in both treatment groups. Conclusions: In patients with high-burden AF and HF, there was no statistical difference in all-cause mortality or HF events with ablation-based rhythm control versus rate control; however, there was a nonsignificant trend for improved outcomes with ablation-based rhythm control over rate control. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01420393.

While COVID-19 diagnosis and prognosis artificial intelligence models exist, very few can be implemented for practical use given their high risk of bias. We aimed to develop a diagnosis model that addresses notable shortcomings of prior studies, integrating it into a fully automated triage pipeline that examines chest radiographs for the presence, severity, and progression of COVID-19 pneumonia. Scans were collected using the DICOM Image Analysis and Archive, a system that communicates with a hospital’s image repository. The authors collected over 6,500 non-public chest X-rays comprising diverse COVID-19 severities, along with radiology reports and RT-PCR data. The authors provisioned one internally held-out and two external test sets to assess model generalizability and compare performance to traditional radiologist interpretation. The pipeline was evaluated on a prospective cohort of 80 radiographs, reporting a 95% diagnostic accuracy. The study mitigates bias in AI model development and demonstrates the value of an end-to-end COVID-19 triage platform.

Small and medium-sized manufacturing enterprises, the backbone of the Southeast Asian economy, are struggling to operate and maintain profitable growth in the face of the COVID-19 epidemic. During the recovery process, technological and non-technological innovation is a major factor in enterprise efficiency and profitability. However, it is unclear what drives manufacturing enterprises to innovate in technological and non-technological approaches and how they choose to implement innovation to keep their businesses growing and successful. Therefore, to answer this issue, this research develops and empirically tests a model based on dynamic capabilities and innovative perspectives utilizing World Bank Enterprise Survey data from 789 manufacturing enterprises in Southeast Asian countries. The hierarchical regression model assists create prediction equations to test technological and non-technological innovation as the mediators of structural reconfiguration and innovation investment on firm performance. The results reveal that structural reconfiguration and innovation investment impact technological and non-technological innovation. Additionally, structural addition and investment in formal R&D have a moderated impact on technological innovation. Finally, firm performance may be boosted by organizational innovation.

Measuring the influence of particular data point is an important task in designing a data hub. In recent years, several research works have addressed the problem. In this paper we analyze these approaches and show that they are too complicated to apply in practice. We propose a new lightweight approach to approximate the influence of data points. We evaluate our proposal on the popular Home Credit dataset to show the effective.

Since its first introduction in 2014, GAN has achieved a lot of attention and success. Nevertheless, GAN has been used mostly in academia or in some toy problems. As the matter of fact, it is difficult to control GAN, hence it is not trivial to apply the outcome of GAN in the industry. However, due to the unpredictable property of GAN, we believe that GAN has a lot of potential in the fields that require creativity such as design. In this paper, we discuss the usage of GAN in the field of interior and house design. We show that GAN can be used to generate near-realistic but still creative living spaces.

Purpose: To explore the role of chronic liver disease (CLD) in COVID-19.Methods: A total of 1,439 consecutively hospitalized patients with COVID-19 from one large medical center in the United States from March 16, 2020 to April 23, 2020 were retrospectively identified. Clinical characteristics and outcomes were compared between patients with and without CLD. Postmortem examination of liver in 8 critically ill COVID-19 patients was performed.Results: There was no significant difference in the incidence of CLD between critical and non-critical groups (4.1% vs 2.9%, p=0.259), or COVID-19 related liver injury between patients with and without CLD (65.7% vs 49.7%, p=0.065). Postmortem examination of liver demonstrated mild liver injury associated central vein outflow obstruction and minimal to moderate portal lymphocytic infiltrate without evidence of CLD.Conclusion: Patients with CLD were not associated with a higher risk of liver injury or critical/fatal outcomes. CLD was not a significant comorbid condition for COVID-19.

In the eighth edition of the TNM classification for pancreatic ductal adenocarcinoma (PDAC), stages T1 to T3 are defined by tumour size, size measurement being deemed objective and accurate. This study investigated whether various, currently used approaches to tumour measurement result in different tumour sizes and differences in T-stage assignment. In a series of 315 resected PDAC, tumour sizes were measured as follows: macroscopically in a single or in two perpendicular planes and with or without microscopic corroboration. Comparison of the resulting tumour sizes showed that both macroscopic measurement in two planes and microscopic corroboration gave significantly different results (p < 0.001). Compared to the most simple approach (macroscopic measurement in one plane), the comprehensive approach (macroscopic measurement in two planes with microscopic corroboration) resulted in a larger tumour size in 263 (83%) cases (mean absolute size difference: 10 mm; mean relative size change: 36%). T-stage assignment differed in 142 (45%) cases between the simple and comprehensive approach and affected 87%, 38% and 48% of the cases deemed to be stage T1, T2 and T3, respectively. In conclusion, tumour size and T-stage are highly approach-dependent. Consensus on an accurate method is required to ensure comparability of these basic data.

Background Hydrocortisone premedication reduces the risk of antibodies to infliximab [ATIs] formation in patients receiving infliximab [IFX] therapy for inflammatory bowel disease [IBD]. Aim We aimed to determine the safety of hydrocortisone premedication withdrawal in IBD patients with sustained clinical response on maintenance therapy with IFX. Methods We performed an observational prospective pharmacoclinical study in a tertiary referral centre, including all consecutive IBD outpatients with no previous IFX infusion reaction and in clinical remission on maintenance IFX [alone or in combination therapy] for at least 6 months. This cohort was followed for 1 year after discontinuation of hydrocortisone premedication. Results Among the 268 IBD outpatients, 95 patients met the inclusion criteria [mean age 38 years; 64% male; 80% Crohn’s disease; 45% combination therapy]. The median IFX duration was 5 years [0.54–14] with a mean infused dose of 533 mg [200–1000] and a mean interval duration of 7.9 weeks [4–10]. None of the patients developed permanent ATIs or infusion-related reaction at 1 year. Four patients developed transient ATIs without loss of clinical response. There was no significant variation of infliximab serum trough levels [5.5 µg/mL vs 5.9 µg/mL] measured at the time of the three IFX infusions before and after hydrocortisone withdrawal. Loss of response rate to IFX was 18% at 1 year. Conclusions Hydrocortisone discontinuation is safe in IBD patients with sustained clinical remission on maintenance therapy with IFX. Our data suggest that routine premedication with hydrocortisone is unnecessary in patients in prolonged remission under IFX maintenance therapy.

Background The prevalence and prognosis association of microsatellite instability (MSI) in oesogastric junction and gastric adenocarcinoma (OGC) have been reported with conflicting results. Methods Patients with OGC from 2010 to 2015 were enrolled in this retrospective multicenter study. MSI was determined by genotyping. MLH1 promoter methylation and BRAF V600E mutation were screened in the MSI tumors. Results Among 315 tumors analyzed, 39 (12.4%) were of the MSI phenotype. Compared to MSS tumors, MSI tumors were more frequent in patients > 70 years (17% vs 9%, p = 0.048) and in gastric antral primary (20% versus 5% in junction tumor and 12% in fundus tumor. Among 29 MSI tumors analyzed, 28 had a loss of MLH1 protein expression and 27 had MLH1 promotor hypermethylation. None had a BRAF V600E mutation. The 4-year cumulative incidence of recurrence for patients with resected tumor was significantly lower in dMMR tumors versus pMMR tumors (17% versus 47%, p = 0.01). For the patients with unresectable tumor the median overall survival was 11 months in MSS group and 14 months in MSI group (p = 0.24). Conclusion MSI prevalence in OGC was 12.4%, associated with antral localization and advanced age. Patients with MSI tumors had a lower cumulative incidence of recurrence after surgery. MSI phenotype was mainly associated with loss of MLH1 protein expression, MLH1 promotor hypermethylation and had no BRAF V600E mutation.

OBJECTIVE: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables. MATERIALS AND METHODS: Clinical data were collected from 981 patients from a multi-institutional international cohort with real-time polymerase chain reaction-confirmed COVID-19. Radiomics features were extracted from chest CT of the patients. The data of the cohort were randomly divided into training, validation, and test sets using a 7:1:2 ratio. A ML pipeline consisting of a model to predict severity and time-to-event model to predict progression to critical illness were trained on radiomics features and clinical variables. The receiver operating characteristic area under the curve (ROC-AUC), concordance index (C-index), and time-dependent ROC-AUC were calculated to determine model performance, which was compared with consensus CT severity scores obtained by visual interpretation by radiologists. RESULTS: Among 981 patients with confirmed COVID-19, 274 patients developed critical illness. Radiomics features and clinical variables resulted in the best performance for the prediction of disease severity with a highest test ROC-AUC of 0.76 compared with 0.70 (0.76 vs. 0.70, p = 0.023) for visual CT severity score and clinical variables. The progression prediction model achieved a test C-index of 0.868 when it was based on the combination of CT radiomics and clinical variables compared with 0.767 when based on CT radiomics features alone (p < 0.001), 0.847 when based on clinical variables alone (p = 0.110), and 0.860 when based on the combination of visual CT severity scores and clinical variables (p = 0.549). Furthermore, the model based on the combination of CT radiomics and clinical variables achieved time-dependent ROC-AUCs of 0.897, 0.933, and 0.927 for the prediction of progression risks at 3, 5 and 7 days, respectively. CONCLUSION: CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.

During the COVID-19 pandemic, most citizens in North America receive daily updates, which highlight the number of new cases per day in a specified region. However, as this data metric is often presented alone on media and news platforms, the spread of the novel coronavirus may often be misinterpreted. Among these daily updates which are critical to informing the public, the authors emphasize the importance of controlling for variation attributed to changes in surveillance. The number of test results that have been analyzed each day along with the total number of tests being conducted in a region have a significant impact on capturing virus spread and should always be included in widespread data. Presenting these variables may help to differentiate increases or decreases of new cases attributed to the expansion of surveillance and testing, or rather other environmental and behavioral factors. Overall, to best inform politicians, healthcare workers, and all citizens of the progress against COVID-19, there is a need to constantly improve analyses and reporting of data.

Highlights • The coronavirus 2019 (COVID-19) pandemic has significantly affected medical care worldwide. • Protective measures, the reallocation of equipment and human resources have changed the operating procedures in all departments. • From mid-April 2020 and onward, the epidemic stabilized and then receded in France, leading to a partial easing of home isolation on May 11, 2020. • The urgent endoscopy caseload outside regular working hours decreased nearly by half during the COVID-19 pandemic, compared to prior years and the expected numbers in 2020. • The number of endoscopies for suspected GIB and the number of variceal and non-variceal GIB decreased as a consequence of home isolation., Background and Study Aims The coronavirus 2019 (COVID-19) pandemic has significantly affected medical care. We surmise that the number of urgent endoscopies outside regular working hours in the Paris area decreased as a result. The objective of this study was to describe the observed number of acts during the 2020 mandatory period of home isolation, compared to the values in prior years and the expected value for 2020. Material and methods We performed a multicenter cohort study to investigate the practice of urgent endoscopy acts, outside regular working hours, in Paris and its surrounding suburbs, in the setting of the COVID-19 pandemic. We collected the number of endoscopies performed between January 17th and April 17th 2018, 2019 and 2020. We then collected clinical, endoscopic and outcome variables from the patients of years 2019 and 2020. Results From March 17th to April 17th (during home isolation), the number of acts was respectively of 147 in 2018, 137 in 2019, and 79 in 2020, lower that the expected number of 142 (-44.0%). In 2020, the number of endoscopies for suspected gastrointestinal bleeding (GIB), and findings of variceal and non-variceal bleeding decreased by 52.1%, 69.2% and 43.1% respectively, after a month of home isolation. In-hospital death rate were similar. Conclusions This study confirms that the urgent endoscopy caseload outside regular hours decreased nearly by half during the pandemic. Our results suggest a decreased number of endoscopies for suspected gastrointestinal bleeding, and findings of variceal and non-variceal bleeding.

A 58-year-old, non-smoker male patient with no family history was followed up since 2002 for ulcerative colitis (UC) located in the rectosigmoid. He was initially treated by salicylates alone until November 2008. Mercaptopurine was started in August 2009 for steroid dependence with primary failure despite adequate 6 thioguanine nucleotides (6 TGN) level. He was included in February 2010 in the PURSUIT trial testing Golimumab with only partial response. A combination therapy with Mercaptopurine and Infliximab was then started in December 2010 with a long-term clinical, biological and endoscopic steroid-free remission. A pan-chromoendoscopy performed in June 2016 showed a complete mucosal healing with no histological activity …

International audience; Background and study aims: In the recent years, topical hemostatic powders have been used for the management of upper gastrointestinal bleeding. The aim of this study was to report on the use of an hemostatic powder (Hemospray®), outside regular hours, by on-call endoscopists during urgent endoscopic procedures.Material and methods: In this retrospective multicenter cohort study, consecutive patients having undergone an urgent endoscopy with the use of Hemospray® from November 2015 to December 2018 in the Paris and suburbs area were included. We collected clinical, biological and endoscopic variables. The outcomes such as the recurrence, repeat endoscopy and hemostatic treatment need, complications and survival were also collected.Results: A total of 152 patients (mean 65 years old, 70.4% male) were included. Amongst the 31 endoscopists, 11 were "more experienced", and performed 48% of the endoscopies. The most common causes of bleeding were peptic ulcer (47.7%), malignancy (22.2%) and esophagitis (12.4%). Most bleedings originated from the upper GI tract (95.0%). Hemospray® was used as a salvage therapy in 60.8% of cases. Other hemostatic techniques were used in 52.9% of cases. Immediate bleeding cessation was noted in 79.0% of cases, recurrence in 39.9% of cases, and 26.4% of patients benefited from a repeat endoscopic hemostasis. 34 (23.0%) patients required a non-endoscopic treatment. At day 30, the survival rate was 71.6%. One complication was reported (perforation).Conclusions: Hemostatic powder application by on-call endoscopists outside regular hours is technically feasible, but comes with a high risk of rebleeding in severely ill patients.

In the context of Industrial 4.0, Vietnam has emerged to play a critical role in the global supply chain while facing intense competition and fast changes. However, what drives manufacturing enterprises in Vietnam to innovate themselves and how well they perform in coping with business obstacle remains one of the central questions in the extent of studies. Therefore, this research primarily attempts to establish how innovation investment and obstacles affect technological and non-technological innovations, especially in the growth phase of the industry life cycle (ILC), with an analysis of available data obtained from the General Statistics Office of Vietnam and World Bank Enterprise Survey data with the use of descriptive statistics and regression analysis. The outcome of this article highlights that researchers and practitioners should consider the importance of the industry life cycle in the choice of technological or non-technological innovation through third significant contributions. First, the innovation investment is driven by R&D, and formal training enables both technological- and non-technological innovation. Second, the innovation obstacle related to finance, policy, competition, and regulation directly impacts the choice of innovation activities. Third, this study demonstrates that the firm’s engagement in technological- and non-technological innovation in line with innovation investment can help maintain successful post-innovation performance.

Background The BRUISE CONTROL trial (Bridge or Continue Coumadin for Device Surgery Randomized Controlled Trial) demonstrated that a strategy of continued warfarin during cardiac implantable electronic device surgery was safe and reduced the incidence of clinically significant pocket hematoma (CSH). CSH was defined as a post-procedure hematoma requiring further surgery and/or resulting in prolongation of hospitalization of at least 24 h, and/or requiring interruption of anticoagulation. Previous studies have inconsistently associated hematoma with the subsequent development of device infection; reasons include the retrospective nature of many studies, lack of endpoint adjudication, and differing subjective definitions of hematoma. Objectives The BRUISE CONTROL INFECTION (Bridge or Continue Coumadin for Device Surgery Randomized Controlled Trial Extended Follow-Up for Infection) prospectively examined the association between CSH and subsequent device infection. Methods The study included 659 patients with a primary outcome of device-related infection requiring hospitalization, defined as 1 or more of the following: pocket infection; endocarditis; and bloodstream infection. Outcomes were verified by a blinded adjudication committee. Multivariable analysis was performed to identify predictors of infection. Results The overall 1-year device-related infection rate was 2.4% (16 of 659). Infection occurred in 11% of patients (7 of 66) with previous CSH and in 1.5% (9 of 593) without CSH. CSH was the only independent predictor and was associated with a >7-fold increased risk of infection (hazard ratio: 7.7; 95% confidence interval: 2.9 to 20.5; p Conclusions CSH is associated with a significantly increased risk of infection requiring hospitalization within 1 year following cardiac implantable electronic device surgery. Strategies aimed at reducing hematomas may decrease the long-term risk of infection. (Bridge or Continue Coumadin for Device Surgery Randomized Controlled Trial [BRUISE CONTROL]; NCT00800137 )

Making an accurate clinical diagnosis in the field can be a great challenge with pediatric out-of-hospital cardiac arrest (OHCA). We aimed to compare the etiology of pediatric OHCA by pre-hospital clinical diagnosis with etiology by coroner's diagnosis and autopsy.As part of the Ontario Pre-hospital Advanced Life Support (OPALS) study, we conducted a prospective cohort study including children below age 19 with OHCA during an 11-year period. Prehospital clinical diagnosis was determined by blinded review and deaths were then matched with provincial coroner's office records. The agreement between prehospital clinical diagnosis and autopsy diagnosis was derived by consensus review. Inter-observer agreement was evaluated using kappa values.For the period 1992-2002, there were 414 cardiac arrests in children19 years of age that matched coroner's records. Mean age was 5.9 years (S.D. 6.4 years) with 39.4% of cases under 1 year of age. Etiology by clinical diagnosis was medical 49.5%, trauma 36.0% and undetermined 14.5%. The overall kappa for clinical diagnosis compared to coroner's diagnosis was 0.62. The kappa for medical cases was 0.53, trauma was 0.93 and 'undetermined' was -0.01. Medical clinical diagnosis had a lower agreement with the coroner's diagnosis (62.4%) compared with trauma (96.0%), RR 0.65, 95% CI [0.58, 0.73]. The poorest kappas by diagnosis were for neurological (0.39), respiratory (0.42), 'other' medical (0.56), SIDS (0.58) and cardiac (0.63). The commonest coroner's diagnoses in the 'undetermined' clinical diagnosis category were: pneumonia (17.6%), seizure or post-seizure (11.8%), arrhythmia (9.8%) and aspiration (5.9%).Even in an ideal situation, a clinician in the field might be unable to determine the etiology of pediatric cardiac arrest in 14.5% of cases. There is poorer agreement for 'medical' compared to 'trauma' cases. This is the largest study to date comparing clinical diagnosis of the causes of OHCA in children to the 'gold-standard' of coroner's diagnosis.

Two analytical methods were developed to characterize the fate of bisphenol A (BPA) added in low amounts (1–4 wt%) in two different epoxy–amine–BPA systems, one based on a mixture of aliphatic amine curing agents, diethylene triamine (DETA) and poly(oxypropylene)diamine (Jeffamine) and the other on the less reactive diaminodiphenylsulphone (DDS) hardener. The method involves a liquid–liquid extraction (LLE) procedure up to gelation. Identification and quantification was performed by gas chromatography–mass spectrometry (GC–MS) and proton nuclear magnetic resonance ( 1 H-NMR) spectroscopy. The data obtained by the two methods are in agreement. The main purpose of this study was to determine the extent of aryl-etherification in actual complex epoxy/amine formulations. It serves notably to detect potential contamination of the atmosphere, water, and soil in the area surrounding where the unbound BPA is released.

The introduction of anti-TNF monoclonal antibodies to the therapeutic arsenal has represented a major advance in the management of Crohn's disease (CD). Anti-TNF agents are able to induce and maintain

Previous studies have indicated that the suboptimal performance of the San Francisco Syncope Rule (SFSR) is likely due to the misclassification of the "abnormal electrocardiogram (ECG)" variable. We sought to identify specific emergency department (ED) ECG and cardiac monitor abnormalities that better predict cardiac outcomes within 30 days in adult ED syncope patients.This health records review included patients 16 years or older with syncope and excluded patients with ongoing altered mental status, alcohol or illicit drug use, seizure, head injury leading to loss of consciousness, or severe trauma requiring admission. We collected patient characteristics, 22 ECG variables, cardiac monitoring abnormalities, SFSR "abnormal ECG" criteria, and outcome (death, myocardial infarction, arrhythmias, or cardiac procedures) data. Recursive partitioning was used to develop the "Ottawa Electrocardiographic Criteria."Among 505 included patient visits, 27 (5.3%) had serious cardiac outcomes. We found that patients were at risk for cardiac outcomes within 30 days if any of the following were present: second-degree Mobitz type 2 or third-degree atrioventricular (AV) block, bundle branch block with first-degree AV block, right bundle branch with left anterior or posterior fascicular block, new ischemic changes, nonsinus rhythm, left axis deviation, or ED cardiac monitor abnormalities. The sensitivity and specificity of the Ottawa Electrocardiographic Criteria were 96% (95% CI 80-100) and 76% (95% CI 75-76), respectively.We successfully identified specific ED ECG and cardiac monitor abnormalities, which we termed the Ottawa Electrocardiographic Criteria, that predict serious cardiac outcomes in adult ED syncope patients. Further studies are required to identify which adult ED syncope patients require cardiac monitoring in the ED and the optimal duration of monitoring and to confirm the accuracy of these criteria.