Search results for "Frailty phenotype"

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Diagnostic Performance of Muscle Echo Intensity and Fractal Dimension for the Detection of Frailty Phenotype

2021

To determine the relationship between muscle echo intensity (EI) and fractal dimension (FD), and the diagnostic performance of both ultrasound parameters for the identification of frailty phenotype. A retrospective interpretation of ultrasound scans from a previous cohort (November 2014–February 2015) was performed. The sample included healthy participants <60 years old, and participants ≥60 divided into robust, pre-frail, and frail groups according to Fried frailty criteria. A region of interest of the rectus femoris from the ultrasound scan was segmented, and histogram function was applied to obtain EI. For fractal analysis, images were processed using two-dimensional box-counting techniq…

MaleComputer scienceFractal dimension030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineUltrasoundFractal analysisHumansMuscle architectureRadiology Nuclear Medicine and imagingAgedRetrospective StudiesRadiological and Ultrasound TechnologyFrailtybusiness.industryMusclesUltrasoundReproducibility of ResultsPattern recognitionEconomía AplicadaMiddle AgedEcho intensityFractal analysisFrailty phenotypeFractalsPhenotypeArtificial intelligencebusinessMuscle architecture030217 neurology & neurosurgeryEcho intensity
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Transitions in frailty phenotype states and components over 8 years: Evidence from The Irish Longitudinal Study on Ageing

2020

Abstract Aim Fried's frailty phenotype (FP) is defined by exhaustion (EX), unexplained weight loss (WL), weakness (WK), slowness (SL) and low physical activity (LA). Three or more components define the frail state, and one or two the prefrail. We described longitudinal transitions of FP states and components in The Irish Longitudinal Study on Ageing (TILDA). Methods We included participants aged ≥50 years with FP information at TILDA wave 1 (2010), who were followed-up over four longitudinal waves (2012, 2014, 2016, 2018). Next-wave transition probabilities were estimated with multi-state Markov models. Results 5683 wave 1 participants were included (2612 men and 3071 women; mean age 63.1 y…

MaleLongitudinal studyAgingHealth (social science)Frail ElderlyPhysical activitySurveys03 medical and health sciences0302 clinical medicineMedicineHumans030212 general & internal medicineLongitudinal StudiesUnexplained weight lossGeriatric AssessmentAged030214 geriatricsFrailtybusiness.industryMean ageFrailty phenotypePhenotypeAgeingTransitionLongitudinalFemaleRisk of deathGeriatrics and GerontologybusinessGerontologyDemography
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