C-Reactive Protein and Frailty in the Elderly: A Literature Review

Velissaris, Dimitrios; Pantzaris, Nikolaos; Koniari, Ioanna; Koutsogiannis, Nikolaos; Karamouzos, Vasileios; Kotroni, Ioanna; Skroumpelou, Anastasia; Ellul, John

doi:10.14740/jocmr2959w

Cited by 91 publications

(57 citation statements)

References 41 publications

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“…. Furthermore, several studies support the direct association between serum CRP levels and frailty in elders [29]. In accordance, we found that elevated levels of CRP were associated with higher frailty scores in the study population.…”

Section: Discussionsupporting

confidence: 90%

Prevalence and factors associated with frailty in hospitalized older Patients

Hammami

Zarrouk

Piron

et al. 2019

Preprint

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Background Frailty is a multidimensional syndrome that leads to an increase of an age-related disorder of several physiological systems, and cognitive abilities decline. The aim of this study was to evaluate the prevalence of frailty among older persons in Belgium and we examined the factors associated with frailty with a principal focus en cognitive, dietary status, and inflammatory parameters Methods A total of 124 participants (90 women, 34 men; age: mean ± SD: 85.9 ± 5.5 years) were studied, recruited from the Geriatrics department, Belgium. Nutritional, cognitive status and physical activity were assessed using MNA, MMSE, and Katz score, respectively. Frailty syndrome was evaluated using SEGA score. Medication and medical history were recorded. Analyzed biochemical parameters included C-reactive protein (CRP), complete blood count, blood creatinine, vitamin D level, and serum protein electrophoresis. According to SEGA score, participants were divided into non-frail (n=19), frail (n=25) and severely frail patients (n= 80). Results The SEGA score was inversely correlated with MMSE, MNA and Katz score. SEGA score was negatively correlated to albumin levels (r=-0.30; p<0.001) and positively correlated to CRP, polypharmacy and age. Logistic regression showed a strong association between frailty, Katz score, dementia, polypharmacy and living in nursing home. Conclusion Our results provide useful information for understanding mechanisms of frailty. This will help to develop preventive strategies for the elderly at the pre-frailty stage.

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Section: Discussionsupporting

confidence: 90%

Prevalence and factors associated with frailty in hospitalized older Patients

Hammami

Zarrouk

Piron

et al. 2019

Preprint

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“…For cross-sectional analyses, we did not wish to determine whether Wave 1 (age: 70 years) epigenetic data associated with Wave 2 (age: 73 years) phenotypic data in order to limit the potential issue of retrocausality. In this first section, we also investigated the cross-sectional association of an accelerated DNAm GrimAge with a number of physical (body mass index, height, grip strength, lung function and weight) and blood traits (albumin, C-reactive protein, cholesterol, creatinine, ferritin, interleukin-6 and iron; at Wave 2; age 73 years) that have been related to mortality and frailty in older age [34][35][36][37][38][39][40][41][42].…”

Section: Phenotypic Datamentioning

confidence: 99%

An epigenetic predictor of death captures multi-modal measures of brain health

et al. 2019

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Individuals of the same chronological age exhibit disparate rates of biological ageing. Consequently, a number of methodologies have been proposed to determine biological age and primarily exploit variation at the level of DNA methylation (DNAm). A novel epigenetic clock, termed 'DNAm GrimAge' has outperformed its predecessors in predicting the risk of mortality as well as many age-related morbidities. However, the association between DNAm GrimAge and cognitive or neuroimaging phenotypes remains unknown. We explore these associations in the Lothian Birth Cohort 1936 (n = 709, mean age 73 years). Higher DNAm GrimAge was strongly associated with all-cause mortality over the eighth decade (Hazard Ratio per standard deviation increase in GrimAge: 1.81, P < 2.0 × 10 −16). Higher DNAm GrimAge was associated with lower age 11 IQ (β = −0.11), lower age 73 general cognitive ability (β = −0.18), decreased brain volume (β = −0.25) and increased brain white matter hyperintensities (β = 0.17). There was tentative evidence for a longitudinal association between DNAm GrimAge and cognitive decline from age 70 to 79. Sixty-nine of 137 health-and brain-related phenotypes tested were significantly associated with GrimAge. Adjusting all models for childhood intelligence attenuated to non-significance a small number of associations (12/69 associations; 6 of which were cognitive traits), but not the association with general cognitive ability (33.9% attenuation). Higher DNAm GrimAge associates with lower cognitive ability and brain vascular lesions in older age, independently of early-life cognitive ability. This epigenetic predictor of mortality associates with different measures of brain health and may aid in the prediction of age-related cognitive decline.

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“…The major components of frailty leading to increased dysphagia are sarcopenia, functional impairment, and drugs affecting swallowing (58). Frailty is often associated with increased inflammation (59).…”

Section: The Frailty Phenotype and Dysphagiamentioning

confidence: 99%