0000000001051245

AUTHOR

G. Savary

showing 2 related works from this author

Measurement of transport phenomena of volatile compounds: A review

2008

International audience; Measurement of the transport phenomena of volatile compounds is a central preoccupation in food flavour and is the subject of the present paper. After a theoretical reminder concerning transport phenomena, the methods used for the measurement of diffusion and mass transfer of volatile compounds are described with their principles, main advantages and drawbacks. These methods are illustrated by some results obtained for flavoured model food products.Several methods characterized by the type of diffusion coefficient measured, the method basis, the scale at which diffusion is measured and the means used to detect the diffusing molecule, are available to determine diffus…

FlavourAnalytical chemistry01 natural sciencesDiffusion0404 agricultural biotechnology[CHIM.ANAL]Chemical Sciences/Analytical chemistryMass transferMethodsCoherence (signal processing)Transport phenomena[CHIM]Chemical SciencesMass transferDiffusion (business)Mathematical modelChemistryScale (chemistry)010401 analytical chemistrySampling (statistics)04 agricultural and veterinary sciences040401 food science0104 chemical sciencesAroma release[CHIM.POLY]Chemical Sciences/PolymersTransport phenomenaBiological systemFood Science
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Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort…

2021

Abstract Background The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. Methods We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for…

MaleShort term mortalityCritical Care and Intensive Care MedicineCohort Studies0302 clinical medicinekwetsbaarheidMedicine and Health Sciences80 and overMedicine610 Medicine & healthProspective cohort studyCorrelation of Data11 Medical and Health SciencesAged 80 and overOUTCOMESIntensive care unitsFrailtyVIP1Aged&nbspMedical emergencies. Critical care. Intensive care. First aidScale (social sciences)Femaleprospectief onderzoekLife Sciences & BiomedicineCRITICALLY-ILL PATIENTS 80 and overStudy groupsmedicine.medical_specialtyAnestesi och intensivvård80 jaar en ouder610 Medicine & healthINTENSIVE-CAREBED AVAILABILITYNO03 medical and health sciencesCritical Care MedicineIntensive caresterfteGeneral & Internal MedicineHumansIntensive care units; Aged; 80 and over; Frailty; Prospective studies; MortalityIn patientddc:610Aged 80 and over; Frailty; Intensive care units; Mortality; Prospective studies; Aged 80 and over; Cohort Studies; Correlation of Data; Female; Frailty; Humans; Intensive Care Units; Logistic Models; Male; Mortality; Prospective StudiesMortalityAgedScience & TechnologyAnesthesiology and Intensive Carebusiness.industryRC86-88.9Research030208 emergency & critical care medicineADULTSAged 80 and over; Frailty; Intensive care units; Mortality; Prospective studies;Emergency & Critical Care MedicineLogistic Models030228 respiratory systemintensivecareafdelingenAged 80 and overCritical illnessEmergency medicineVIP2 study group&nbspCRITICAL ILLNESSbusinessProspective studies
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