0000000000586651

AUTHOR

Riccardo Ecolombo

0000-0002-9616-803x

showing 4 related works from this author

Disentangling cardiovascular control mechanisms during head-down tilt via joint transfer entropy and self-entropy decompositions

2015

A full decomposition of the predictive entropy (PE) of the spontaneous variations of the heart period (HP) given systolic arterial pressure (SAP) and respiration (R) is proposed. The PE of HP is decomposed into the joint transfer entropy (JTE) from SAP and R to HP and self-entropy (SE) of HP. The SE is the sum of three terms quantifying the synergistic/redundant contributions of HP and SAP, when taken individually and jointly, to SE and one term conditioned on HP and SAP denoted as the conditional SE (CSE) of HP given SAP and R. The JTE from SAP and R to HP is the sum of two terms attributable to SAP or R plus an extra term describing the redundant/synergistic contribution to the JTE. All q…

Supine positionInformation storageComputer sciencePhysiologyAutonomic nervous system; Baroreflex; Blood pressure variability; Cardiopulmonary coupling; Heart rate variability; Information dynamics; Multivariate linear regression analysis; Physiology; Physiology (medical)Cardiovascular controlAutonomic Nervous Systemlcsh:PhysiologyNuclear magnetic resonanceCardiopulmonary couplingPhysiology (medical)Cardiac controlHeart rate variabilityOriginal Researchlcsh:QP1-981redundancymultivariate linear regression analysiscardiopulmonary couplingBaroreflexHead-Down TiltInformation dynamicSynergySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaSystolic arterial pressureTransfer entropyblood pressure variabilityMultivariate linear regression analysiinformation dynamicsAlgorithmFrontiers in Physiology
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Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective …

2022

Item does not contain fulltext BACKGROUND: Two acute respiratory distress syndrome (ARDS) subphenotypes (hyperinflammatory and hypoinflammatory) with distinct clinical and biological features and differential treatment responses have been identified using latent class analysis (LCA) in seven individual cohorts. To facilitate bedside identification of subphenotypes, clinical classifier models using readily available clinical variables have been described in four randomised controlled trials. We aimed to assess the performance of these models in observational cohorts of ARDS. METHODS: In this observational, multicohort, retrospective study, we validated two machine-learning clinical classifie…

Pulmonary and Respiratory MedicineClinical SciencesAcute Lung InjuryArticleMachine LearningPositive-Pressure RespirationRare DiseasesClinical ResearchRetrospective StudieSettore MED/41 - ANESTESIOLOGIAHumansLungAcute Respiratory Distress SyndromeRetrospective StudiesRespiratory Distress SyndromeOther Medical and Health SciencesLUNG SAFE Investigators and the ESICM Trials Grouplnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4]PhenotypeGood Health and Well BeingArea Under CurveARDS: PhenotypeRespiratoryPublic Health and Health ServicesARDSHuman
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Quantifying Net Synergy/Redundancy of Spontaneous Variability Regulation via Predictability and Transfer Entropy Decomposition Frameworks.

2017

Objective: Indexes assessing the balance between redundancy and synergy were hypothesized to be helpful in characterizing cardiovascular control from spontaneous beat-to-beat variations of heart period (HP), systolic arterial pressure (SAP), and respiration (R). Methods: Net redundancy/synergy indexes were derived according to predictability and transfer entropy decomposition strategies via a multivariate linear regression approach. Indexes were tested in two protocols inducing modifications of the cardiovascular regulation via baroreflex loading/unloading (i.e., head-down tilt at −25° and graded head-up tilt at 15°, 30°, 45°, 60°, 75°, and 90°, respectively). The net redundancy/synergy of …

AdultMaleMultivariate statisticsComputer scienceEntropyBiomedical EngineeringBlood Pressurecomputer.software_genreAutonomic Nervous System01 natural sciences010305 fluids & plasmasHead-Down TiltEntropy (classical thermodynamics)ElectrocardiographyYoung AdultHeart RateBayesian multivariate linear regression0103 physical sciencesStatisticshead-down tilt (HDT)Redundancy (engineering)Entropy (information theory)HumansPredictabilityEntropy (energy dispersal)010306 general physicsEntropy (arrow of time)cardiovascular controlModels StatisticalEntropy (statistical thermodynamics)heart rate variabilityUnivariateSignal Processing Computer-AssistedBaroreflexMiddle Agedhead-up tilt (HUT)Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaTransfer entropyFemaleData miningWiener-Granger causalitycomputerEntropy (order and disorder)IEEE transactions on bio-medical engineering
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Impact of Early Acute Kidney Injury on Management and Outcome in Patients With Acute Respiratory Distress Syndrome: A Secondary Analysis of a Multice…

2019

Contains fulltext : 208648.pdf (Publisher’s version ) (Closed access) OBJECTIVES: To understand the impact of mild-moderate and severe acute kidney injury in patients with acute respiratory distress syndrome. DESIGN: Secondary analysis of the "Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure", an international prospective cohort study of patients with severe respiratory failure. SETTING: Four-hundred fifty-nine ICUs from 50 countries across five continents. SUBJECTS: Patients with a glomerular filtration rate greater than 60 mL/min/1.73 m prior to admission who fulfilled criteria of acute respiratory distress syndrome on day 1 and day 2 of acute …

MaleARDSmedicine.medical_treatmentComorbidityCritical Care and Intensive Care MedicineSeverity of Illness Indexchemistry.chemical_compound0302 clinical medicineacute kindey faliureRisk FactorsOdds Ratio80 and overHospital MortalityProspective StudiesAged 80 and overRespiratory Distress SyndromeRespirationAcute kidney injuryMiddle Agedacute kidney injury acute respiratory distress syndrome invasive mechanical ventilation mortality renal replacement therapyIntensive Care Unitsacute kidney injuryCreatinineArtificialFemaleGlomerular Filtration RateAdultinvasive mechanical ventilationrenal replacement therapy.medicine.medical_specialtySocio-culturaleRenal functionard03 medical and health sciencesInternal medicineSettore MED/41 - ANESTESIOLOGIASeverity of illnessmedicineHumansacute kidney injury acute respiratory distress syndromeRenal replacement therapyAgedCreatinineRenal replacement therapybusiness.industry030208 emergency & critical care medicineCarbon Dioxideacute respiratory distress syndromemedicine.diseaseRespiration Artificialmortalitylnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4]030228 respiratory systemchemistryRespiratory failurebusinessRespiratory minute volume
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