Inflammation markers are associated with frailty in elderly patients with coronary heart disease

Hou, Ping; Xue, Huiping; Mao, Xin’e; Li, Yongnan; Wu, Linfeng; Liu, Yongbing

doi:10.18632/aging.101575

Cited by 34 publications

(31 citation statements)

References 40 publications

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“…Hemogram-derived infl ammatory markers were also studied in frailty. Authors reported that NLR and red cell distribution width were weakly correlated with frailty in subjects with coronary heart disease (15). In another study, it was concluded that in patients with cancer, the NLR was correlated with Carolina Frailty index, another scale for determining frailty (16).…”

Section: Discussionmentioning

confidence: 99%

Does mean platelet volume/lymphocyte count ratio associate with frailty in type 2 diabetes mellitus?

Bilgin¹,

Aktas²,

Kahveci³

et al. 2021

BLL

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OBJECTIVES: Frailty is a common problem in patients with type 2 diabetes mellitus (T2DM). It is considered to be associated with infl ammation. Novel markers derived from hemogram, such as neutrophil/lymphocyte ratio (NLR) and mean platelet volume/lymphocyte ratio (MPVLR), are proposed as infl ammatory markers. In present study, we aimed to compare NLR and MPVLR levels of frail patients with T2DM to non-frail diabetic subjects. METHODS: Diabetic subjects were grouped in frail and non-frail groups according to the Edmonton Frail Scale. General characteristics and laboratory data of the frail and non-frail groups were compared. RESULTS: The MPVLR of the frail (3.9 [1.4-13.2] %) group was signifi cantly higher than that of the non-frail (3.4 [1.5-6.9] %) group (p = 0.02). MPVLR was positively and signifi cantly correlated with Edmonton Frail Scale score (r = 0.21, p = 0.03). A MPVLR level greater than 3.41 % has 71 % sensitivity and 51 % specifi ty in predicting frailty. CONCLUSION: We suggest that elevated MPVLR could be a fi nding that marks frailty in diabetic subjects. Inexpensive and easy-to-assess nature of the MPVLR may be useful in predicting frailty in type 2 diabetic population (Tab. 2, Fig. 1, Ref. 32).

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Section: Discussionmentioning

confidence: 99%

Does mean platelet volume/lymphocyte count ratio associate with frailty in type 2 diabetes mellitus?

Bilgin¹,

Aktas²,

Kahveci³

et al. 2021

BLL

View full text Add to dashboard Cite

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“…This conclusion arises from the results indicating that there is a difference between these two clusters in the level of the expression of CVD (including diagnoses of chronic heart disease and coronary artery disease), this level being higher in the CF than in the HF cluster. At higher levels of CV comorbidities, we would expect that the level of inflammation also increases, governing the development of clinically significant malnutrition and muscle loss [ 55 ]. According to the inflammaging theory, accelerated cerebral small-vessel disease is a result of the action of intensive cardiometabolic factors and increased inflammation on the cerebral vasculature or of the long duration of these factors [ 8 ].…”

Section: Discussionmentioning

confidence: 99%

Clusters of Physical Frailty and Cognitive Impairment and Their Associated Comorbidities in Older Primary Care Patients

et al. 2021

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(1) Objectives: We aimed to identify clusters of physical frailty and cognitive impairment in a population of older primary care patients and correlate these clusters with their associated comorbidities. (2) Methods: We used a latent class analysis (LCA) as the clustering technique to separate different stages of mild cognitive impairment (MCI) and physical frailty into clusters; the differences were assessed by using a multinomial logistic regression model. (3) Results: Four clusters (latent classes) were identified: (1) highly functional (the mean and SD of the “frailty” test 0.58 ± 0.72 and the Mini-Mental State Examination (MMSE) test 27.42 ± 1.5), (2) cognitive impairment (0.97 ± 0.78 and 21.94 ± 1.95), (3) cognitive frailty (3.48 ± 1.12 and 19.14 ± 2.30), and (4) physical frailty (3.61 ± 0.77 and 24.89 ± 1.81). (4) Discussion: The comorbidity patterns distinguishing the clusters depend on the degree of development of cardiometabolic disorders in combination with advancing age. The physical frailty phenotype is likely to exist separately from the cognitive frailty phenotype and includes common musculoskeletal diseases.

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“…Albumin was measured using dye binding BCG . Haemoglobin, red blood cell width (RDW) and absolute neutrophil counts, measured by Sysmex's multiple methods, have been linked with inflammation and immunosenescence . Fasting plasma glucose was measured by the glucose oxidase method in the morning after at least 10 h overnight fast .…”

Section: Methodsmentioning

confidence: 99%

A roadmap to build a phenotypic metric of ageing: insights from the Baltimore Longitudinal Study of Aging

et al. 2020

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Over the past three decades, considerable effort has been dedicated to quantifying the pace of ageing yet identifying the most essential metrics of ageing remains challenging due to lack of comprehensive measurements and heterogeneity of the ageing processes. Most of the previously proposed metrics of ageing have been emerged from cross‐sectional associations with chronological age and predictive accuracy of mortality, thus lacking a conceptual model of functional or phenotypic domains. Further, such models may be biased by selective attrition and are unable to address underlying biological constructs contributing to functional markers of age‐related decline. Using longitudinal data from the Baltimore Longitudinal Study of Aging (BLSA), we propose a conceptual framework to identify metrics of ageing that may capture the hierarchical and temporal relationships between functional ageing, phenotypic ageing and biological ageing based on four hypothesized domains: body composition, energy regulation, homeostatic mechanisms and neurodegeneration/neuroplasticity. We explored the longitudinal trajectories of key variables within these phenotypes using linear mixed‐effects models and more than 10 years of data. Understanding the longitudinal trajectories across these domains in the BLSA provides a reference for researchers, informs future refinement of the phenotypic ageing framework and establishes a solid foundation for future models of biological ageing.

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Inflammation markers are associated with frailty in elderly patients with coronary heart disease

Cited by 34 publications

References 40 publications

Does mean platelet volume/lymphocyte count ratio associate with frailty in type 2 diabetes mellitus?

Does mean platelet volume/lymphocyte count ratio associate with frailty in type 2 diabetes mellitus?

Clusters of Physical Frailty and Cognitive Impairment and Their Associated Comorbidities in Older Primary Care Patients

A roadmap to build a phenotypic metric of ageing: insights from the Baltimore Longitudinal Study of Aging

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