dataesr/scientific-paragraphs-categorization huggingface dataset:
2019 (Lawrence et al. , 2023)) , which might be the result of varying predation pressure among populations. We found female-biased adult sex ratios in two of the four investigated populations, raising the question of whether skewed sex ratios have a genetic basis or are a result of environmental factors. Observed differences in sex ratios might be related to data collection during slightly different times of the year (though all data was collected between January and March), potentially affecting the activity of males and females. This is unlikely as unpublished data confirm the low proportion of males in Mataroni (MC; personal observation). To test a potential genetic basis, e. g. if there are differences in sex ratios at birth, future breeding experiments could determine the sex of offspring, and establish whether there are differences in development time and survival between male and female tadpoles; similar to studies conducted in wood frogs (Lithobates sylvaticus)  (Warne and Crespi 2015).
Acknowledgements We are thankful to the staff of  CNRS Guyane  and the  National Forests Office  for logistic support and valuable information regarding field sites, and to the  Nouragues Research Station , which benefits from " Investissement d'Avenir " grants managed by  Agence Nationale de la Recherche (AnaEE France   ANR-11-INBS-0001 ;  Labex CEBA ANR-10-LABX-25-01 ). BR is part of a multi-researcher partnership with the  Nouragues Nature Reserve (Convention Cadre de Partenariat   N°01-2019 ) aimed at improving and spreading knowledge about amphibians. We also would like to thank  Cyril Gaertner ,  Cristina Marqués Ferri ,  Constance Laccours ,  Camille Gerard , and  Philippe Gaucher  for their precious help on PLEEA. Finally, we would like to thank two anonymous reviewers for clarifying and improving the quality of our manuscript.
Annals of Intensive Care Patients and methods/materials and methods: This is a prospective, randomized, open multicenter study, which included patients with a septic shock, invasive ventilation and sedation, hemodynamically stabilized. At inclusion, patients were randomized in intervention group (cycloergometer (20 min/day) added to standard physiotherapy) or in control group (standard physiotherapy alone). In both groups, physiotherapy started as soon as the patients were included and was adapted to the patient's condition. Patients were randomized a second time at the first lifting of sedation. This double randomization constituted a dataset for the endpoints analysis from hemodynamic stability to the first lifting of sedations (phase I) and another dataset for unbiased endpoints analysis from lifting of sedations to the discharge from ICU (phase II).
Patients and methods/materials and methods: The aim of the current study was to analyze the electrophysiological signatures of delirium by using a specifically designed multidimensional auditory event-related potentials (ERPs) battery to probe hierarchical cognitive processes, including automatic and voluntary attention, self-related processing and detection of arithmetic incongruences. Clinical variables and electrophysiological data were prospectively collected in controls subjects (n = 14) and in critically ill patients with (n = 18) and without (n = 20) delirium. Results: Overall, we have specifically identified in patients with delirium, both a preservation of low-level central auditory processing-notably the detection of local regularity violation (MMN and P3a or 'local effect')-and a coherent ensemble of covert higher-order cognitive dysfunctions encompassing the processing of global regularity violation (P3b or 'global effect'), self-relevant stimulus (P3 to subject's own name), and simple arithmetic facts violation (P3 to incorrect results) (spatio-temporal clustering, p-cluster ≤ 0.
We collected demographic data of the detained population, exposures, suspected intoxications, clinical and paraclinical manifestations, and treatments. Results: Eighty-one acute poisoning was included in the study: sixty patients (96% male); twenty-one recurrent episodes  [2, 5]. Most patients (51%) were unemployed, 10% were a day labourer. The mean age was 34 years  [24, 69]. 75% were single. Diabetes mellitus, chronic heart disease and chronic obstructive pulmonary disease were the most common co-morbidities (40. 7%, 17. 3%, 11. 1%). Psychiatric disorders were recorded in 35% patients. 40% had a personal history of suicide attempts ranging from 2 to 5 attempts,75% of which required admission in ICU. 80% were belonging to low socioeconomic class. Median SAPS II and APACHEII scores at admission were respectively 8[6,50], 2  [0, 22].
CO-61 Proposal of a new severity score in toxicology: the "scoretox" Hela Maamouri 1,2 , Yosra Ghali 2 , Nozha Brahmi 2 Rationale: To evaluate the clinical characteristics and consequences of long-term exposure to noxious gas emissions from decomposing Sargassum in the local population of Martinique. Patients and methods/materials and methods: We conducted a prospective follow-up of a patient cohort admitted to the emergency department (University Hospital of Martinique) due to exposure to sargassum from March 2018 to December 2022. We assessed the patient's exposure to Sargassum and air pollutants based on recordings of coastline sensors measuring H2S and NH3 levels and data from the Regional Air Quality Observatory. Demographics and clinical data (including cardiovascular, neurological, and respiratory events) were collected.
Demographic characteristics and weaning unit outcomes were collected. All inpatients with complete data were analyzed. The analysis was completed by a subgroup analysis of patients on 24-h spontaneous ventilation at admission and patients still with mechanical ventilation (MV) at admission (intermittent or continuous). Results: In 2022, 103 tracheostomized patients were admitted. A total of 97 patients were analyzed with male 62%, age 62 ± 12 years and length of stay 58 ± 27 days in intensive care unit. The main diagnosis at admission in ICU was acute respiratory failure. The goal of admission on weaning unit was: ventilatory and tracheostomy weaning in 77% and tracheostomy weaning in 23%. On admission, patients were on 24-h spontaneous ventilation in 24% (n = 23) and on mechanical ventilation in 76% (n = 74): 80% intermittent MV (n = 59); 20% continuous MV (n = 15).
FC-002 Radial strain accurately depicts paradoxical septal motion in ventilated patients with acute respiratory distress syndrome using a machine learning approach Bruno Evrard 1,2 , Jean-Baptiste Woillard 2,3,4,5 , Annick Legras 6 , Mysilias Bouaoud 6 , Maeva Gourraud 6 , Antoine Humeau 3 , Marine Goudelin has not yet been used to help identification of paradoxical septal motion. Machine learning approaches provide individual prediction which can be reused for further assessment. We aimed to evaluate the accuracy of left ventricular (LV) radial strain using a supervised machine learning approach for the diagnosis of paradoxical septal motion, using conventional two-dimensional assessment as reference. Patients and methods/materials and methods: In this retrospective study, a multicenter prospective cohort of ventilated patients with moderate-to-severe acute respiratory distress syndrome (ARDS) related to COVID-19 (n = 327) was used as the train dataset (75% of the cohort) and as test dataset (25% of the cohort).
A second multicenter cohort of patients with moderate-to-severe ARDS was used as external validation dataset (n = 85). A supervised machine learning approach was compared with conventional visual identification of paradoxical septal motion in the two-dimensional short-axis view used as reference by two independents abstractors. The same digital loop used for conventional identification were used for LV short-axis strain assessment. Data were extracted and converted to perform data engineering using previous described method (Evrard B preprint 2023). Four algorithms (Extreme gradient boosting (XGBoost), Generalized Linear Model-Lasso (GLM-Lasso), Support Vector Machines (SVM) and random forest (RF)) were used and benchmarked to develop a diagnostic algorithm using 20 variables featured from LV radial strain curves assessment which were previously described for paradoxical septal motion diagnosis (ref ).
We evaluated the effectiveness of this measure on day-60 mortality, rates of acquired bloodstream infection (BSI) and VAP. Patients and methods/materials and methods: We performed a retrospective, monocentric cohort study based on the analysis of data collected in the OUTCOMEREA database. In addition to standard hygiene and nosocomial infection prevention measures, the SDD regimen consisted in enteral administration 4 times daily of colimycin 135 mg, gentamicin 100 mg, and amphotericin B 500 mg, without intravenous antibiotic prophylaxis. ICU mortality, rates of bacteremia and VAP were assessed over 2 periods, before and during SDD administration. Multivariate analyses used Cox models for survival and the Fine and Gray model for the risk of nosocomial infection. Results: 104 patients were included from may 2020 to may 2021: 59 patients in the cohort without SDD, and 45 patients in the SDD cohort (Table ).
Compliance with ethics regulations: Yes in clinical research. Rationale: Among severe Sars-CoV2 pneumoniae, 20-40% are admitted in Intensive Care Unit for Acute Hypoxemic Respiratory Failure (AHRF) to receive non-invasive oxygen-support (NI-OS) and/ or mechanical ventilation. The timing of intubation for COVID-AHRF remained controversial. The aim of this study was to compare day-60 mortality between patients intubated 5 days after the hospitalization in ICU and those with similar criteria of AHRF after day 5, maintained under NI-OS. Patients and methods/materials and methods: This observational retrospective study was performed with data from the French prospective multicenter (n = 11 ICUs) OutcomeReaTM database from February, 1 st 2020 to May, 30th 2022. Patients with HFAR were included if they had an ICU stay of more than 5 days without intubation (under NIOS: CPAP, HFNC, NIV).
The 60-day mortality rate of intubated patients after day 5 were compared to non-intubated patients (under NIOS) who harbored the same gravity of AHRF (FiO2 of 80% and having a PaO2 of less than 80 mmHg) at the same length of stay. Results: From February 2020 to August 2022, 1206 patients were admitted for COVID-19 pneumonia in the 11 French ICUs of Outcom-eRea TM database. 387 patients were still in ICU and non-mechanically ventilated at day 5. Patients were mainly men (70%), median age of 66. 4 years and at least one comorbidity in 70% cases. 73,6% (n = 285) received steroids during hospitalization. 25. 8% were finally intubated during stay of intensive care and the mortality rate was 26. 8% at day 60 among the 387 patients. Patients intubated after day 10 (n = 28) had a poor prognosis compared to those still under NIOS after day 10 (n = 10) with 60-day mortalityrespectively 89.
To accurately cope with these issues, computer vision approaches, built upon machine learning (ML) algorithms have been recently proposed. These methods have potential to provide new computer-aided diagnosis for LUS data that could transform the way in which ICU practitioners assess and manage critically ill patients. However, it is worth noting that the data available in this field have demonstrated variable classifier's accuracy and was exclusively limited to the analysis of B-lines. We followed a knowledge transfer approach from satellite to medical imaging based on semantic segmentation and signal processing. In order to do this, we designed a proof-of-concept study built upon one of the largest LUS datasets from severe COVID-19 patients reported to date. Patients and methods/materials and methods: We prospectively recruited adult COVID-19 patients who were in ARF (pulse oximetry < 90% while breathing room air or respiratory rate > or = 30 breaths/min) at hospital admission.
FC-097 We provide an analysis of the P-OpTTICCA study, a pilot randomized controlled trial (RCT) of red cell transfusion thresholds in children admitted to the pediatric intensive care unit (PICU) of four international hospital sites. The aim was to describe the challenges and lessons learnt for using electronic systems to abstract data directly from an eMDMS and to transfer these data into the case report form (CRF) of the study. Patients and methods/materials and methods: 120 patients were enrolled from the PICU of four university-affiliated hospitals In Canada, France and United Kingdom. The basic design of P-OpTTICCA is described in the registry "clinicalTrials. gov" (NCT03871244). Results: All data were extracted manually in one site. Most data (88%) were extracted electronically in the three other sites, using the eMDMS IntelliSpace Critical Care and Anesthesia (ICCA, Philips Medical Systems, Royal Philips Electronics, Netherland).
fr) Annals of Intensive Care 2023, 13(Suppl 1):FC-0175 Rationale: The non-ventilated Intensive Care Unit acquired pneumonia (NV-ICU-AP), nosocomial pneumonia not associated with invasive ventilation, has been much less studied than ventilator-associated pneumonia, and never in the context of patients in ICU for a severe acute exacerbation of chronic obstructive pulmonary diseases (AECOPD), a common cause of ICU admission. We assessed the impact of NV-ICU-AP on the outcomes of these patients. Patients and methods/materials and methods: Data were prospectively collected in the French ICU database OutcomeReaTM. By using survival analyses with competing risk management, we assessed the impact of NV-ICU-AP on mortality, intubation and length of stay in ICU. Results: On 844 COPD exacerbations managed in ICU without IMV, the NV-ICU-AP occurred in 42 patients, corresponding to an incidence density of 10.
Impact of beta-blockers on medium term prognosis of severe acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients admitted to ICU Iyed Maatouk 1 , Abir Chihaoui 1 , Asma Zarrouk 1 , Rania Lahouimel 1 , Zeineb Hammouda 1 , Oussema Saadaoui 1 , Wiem Nouira 1 , Manel Lahmar 1 , Rationale: Acute Kidney Injury (AKI) has been reported to be quite prevalent even earlier within the evolution of COVID-19. We aimed to evaluate the frequency, and prognosis of AKI in critically ill COVID-19 patients. Patients and methods/materials and methods: We performed a retrospective cohort study of adult patients with COVID-19 diagnosis admitted to the intensive care unit between March 2020 and December 2021. Clinical characteristics and laboratory data were extracted from electronic files and laboratory databases.
We aimed to describe two phenotypes of AKI as well as their risk factors and their association with mortality. Patients and methods/materials and methods: This is an analytic retrospective study carried out in a medical intensive care unit from March 2020 to December 2021. All patients who developed AKI were included. Clinical characteristics and laboratory data were extracted from electronic hospitalization and laboratory databases. AKI was defined and staged according to the 2012 Kidney Disease: Improving Global Outcomes criteria. Patients with AKI were classified as early AKI and late AKI; Early AKI was defined as diagnosed at ≤ 72 h after intensive care unit (ICU) admission, with any diagnosis > 72 h denoted as late AKI. Results: A total of 465 cases with laboratory-confirmed COVID-19 were included and 229 (49%) of them were identified as AKI.
However, few data exist on the evolution of these patients after HSCT and especially regarding the need to be admitted in Pediatric Intensive Care Units (PICU). The aim of this study was to describe the epidemiology of patients with SCD admitted to PICU after HSCT. Patients and methods/materials and methods: We conducted a single center retrospective study in a tertiary center PICU. Consecutive children with SCD admitted to PICU between January 1st, 2009 and December 31, 2019 after HSCT were included. Patients were identified by searching the hospital databases for codes D57 and Z9480 in the International Classification of Diseases-10th revision then selecting those who required PICU admission. All admissions during the study period were included and one patient could have several admissions.
Patients and methods/materials and methods: The pilot-OpTTICCA study (P-OpTTICCA) was a small multicenter international non-inferiority RCT; its basic design is described in the registry "clinicalTrials. gov" (NCT03871244). Its main objective was to assess the feasibility of OpT-TICCA. All patients with a Hb ≤ 95 g/L were eligible to participate to this pilot RCT. Results: 120 patients were randomized to a restrictive (transfusion only if Hb < 70 g/L) or to a liberal RBC strategy (standard care) in four university affiliated PICU in Canada, France and the United Kingdom. There was almost no difference at baseline in the 63 children allocated to the restrictive arm and the 57 children allocated to the control arm (Table  1 ). The outcomes were almost similar in the restrictive and the liberal arm of P-OpTTICCA.
We measured cytokines before and during treatment as well as relevant clinical endpoints. The control group was selected among COVID-19 patients included into our ongoing RECORDS trial (NCT04280497) who received RRT without adsorbing filters. Results: 24 severe COVID-19 patients, admitted to the intensive care unit (ICU) and treated with CRRT using the Oxiris filter between March and April 2020 (20 males and 4 females); median age 67. The average time from COVID-19 symptoms to initiation of oXiris treatment was 18 ± 7 days, and from ICU admission to initiation of oXiris treatment 9. 5 ± 7. 8 days and from ARF to oXiris treatment was 3 ± 5 days. The average length of treatment was 152. 8 ± 92. 3 h. Treatment was associated with cytokine decreases for IL-1beta (p = 0. 00022), MCP-1 (p = 0. 03), and MIP-1 alpha (p = 0.
Patients: all patients hospitalized in ICU were enrolled. Main outcome measures: prevalence, types of HAI and resistance patterns of microbiological isolates. This study was conducted under the aegis of the 'Association Tunisienne de réanimation (ATR)' NOSOREA2 is registered with ClinicalTrials. gov NCT05547646. Results: On the day of the study, 17 centres participated, 143 patients were enrolled with a median age of 53. 6 years and a gender-ratio of 1. 8. Main comorbidities were hypertension (n = 40, 28%), diabetes (n = 34, 23. 8%) and COPD (n = 21, 14. 7%). Reasons for ICU admission were: neurological (n = 56, 39%), respiratory (n = 43, 14%) and haemodynamic (n = 20, 14%). COVID-19 vaccination was noticed among 78 (54. 5%) patients. We recorded 46 documented HAI, making a 1-day point-prevalence of 32.
To annotate the MEDE-VAC database, we collected demographics data (age, gender, disease) and patient's sedation clinical scores at the time of video collection, from the electronic medical record. We classified seven categories of retractions signs on videos: sous costal, inter costal, sous sternal, supra sternal, supra clavicular, thoraco-abdominal asynchrony and general-post cardiac surgery in 24. 4% of cases and 24. 5% other reasons. 36 children were mechanically ventilated with an endotracvheal tube (iMV), 59 children were on none-invasive mechanical ventilation (NIV), 22 children had high flow nasal canula (HFNC).
To annotate the MEDE-VAC database, we collected demographics data (age, gender, disease) and patient's sedation clinical scores at the time of video collection, from the electronic medical record. We classified seven categories of retractions signs on videos: sous costal, inter costal, sous sternal, supra sternal, supra clavicular, thoraco-abdominal asynchrony and general-post cardiac surgery in 24. 4% of cases and 24. 5% other reasons. 36 children were mechanically ventilated with an endotracvheal tube (iMV), 59 children were on none-invasive mechanical ventilation (NIV), 22 children had high flow nasal canula (HFNC) ized signs. A caregiver clinically scored retraction signs using a qualitative scale (+, ++, +++). The database is approved by the review ethical committee (number 2016-1242) as well as the respiratory distress analysis by machine learning methods (number 2020-2276).
Rather, it suggests that NO-ferroheme-NO behaves as functional signaling entity in its own right. NO-ferroheme but not NO activates apo-sGC. Studies done prior to the discovery of NO as a signaling molecule in mammals had shown that various preparations of heme-NO can activate heme-deficient sGC  [8] [9] [10] [11]. In light of the new data generated here, we decided to try to reproduce parts of those old experiments. Heme-deficient sGC (apo-sGC) was prepared as described  28  , and we then exposed this enzyme to NO-ferroheme-Mb or authentic NO and measured cGMP production. The results clearly show activation of apo-sGC by NO-ferroheme-Mb but not by NO (Fig  5c ). This suggests that NO ferroheme could be a signaling entity which directly incorporates into the heme-free sGC to activate it.
In vivo blood pressure recordings Male Wistar rats received either L-NAME (1 g/L) or Placebo (NaCl) in the drinking water for two days prior to the cardiovascular recordings. The rats were anesthetized with isoflurane and polyethylene catheters were implanted into the abdominal aorta and inferior vena cava through the femoral artery and vein for arterial pressure recordings and drug injections, respectively. Mean blood pressure and heart rate were monitored in anesthetized animals using a pressure transducer coupled to an acquisition system (PowerLab; ADInstruments, Castle Hill, NSW, Australia) connected to a computer running LabChart 7. 0 software (ADInstruments, Castle Hill, NSW, Australia). Cardiovascular responses to different doses of NO, oxidized Mb(Fe 3+ ), dithionite-reduced Mb(Fe 2+ ) and NO-ferroheme-Mb, administered intravenously, were evaluated after at least 30 minutes stabilization.
Acknowledgements This work was funded by the  Swedish Research Council  ( 2016-01381 ,  2020-01645 ), the  Swedish Heart and Lung Foundation  ( 20210431 ,  20170124 ,  20180568 ),  NovoNordisk  (2019# 0055026 ), the  EFSD/Lilly European Diabetes Research Programme  ( 2018 # 97012 ), the  Swedish Ekhagastiftelsen (Ekhaga foundation) , and by research funding from the  Karolinska Institutet, Stockholm, Sweden. We are very grateful to  Annika Olsson  and  Carina Nihlén  ( Karolinska Institutet ) for experimental assistance.
Data analysis Results of transactivation activity were expressed as percentage of the maximum luciferase activity induced by dexamethasone at 10 -7 M. Dose-response curves were fitted using the sigmoidal doseresponse function of a graphics and statistics software program (GraphPad Prism 8, GraphPad Software Inc. ). We assumed a compound being agonist when an effect above 10% was noted as compared to the control cells, and antagonist when it decreased luciferase activity by more than 20% in the presence of the reference chemical at the concentration inducing 80% of the maximal response. Effective concentrations and inhibitory concentrations were derived from the Hill equation. For a given chemical, EC 50 was defined as the concentration inducing 50% of its maximal effect and IC 50 represented the concentration required for 50% inhibition.
Analyses of 16S rRNA gene pyrosequences Pyrosequencing output was converted to sequence reads and quality scores using Roche 454 Life Science propriety software (http://www. 454. com) and then analyzed by QIIME 1. 8. 0  (Caporaso et al. , 2010)  as previously described  (Wong et al. , 2016). Combining the taxonomic profiles from our previous analysis on lignocellulose-degrading microcosms from beaver dropping and moose rumen  (Wong et al. , 2017) , relative abundances of genera representing ≥ 1% for at least one of the samples were extracted for hierarchical clustering (correlation clustering and average linkage) and Principal Component Analysis using R statistics in ClustVis  (Metsalu and Vilo, 2015). Non-parametric Kruskal-Wallis test was conducted using R script (R Development Core Team, 2010).