Sarcopenia in Non-Dialysis Chronic Kidney Disease Patients: Prevalence and Associated Factors

Amorim, Geraldo José de; Calado, Cinthia Katiane Martins; Oliveira, Bruno Carlos Souza de; Araujo, Renata Patricia Oliveira; Filgueira, Tayrine Ordonio; Fernandes, Matheus Santos de Sousa; Castoldi, Ângela; Vajgel, Gisele; Valente, Lucila Maria; Lima-Filho, José Luiz de; Carvalho, Paulo; Souto, Fabrício Oliveira

doi:10.3389/fmed.2022.854410

Cited by 11 publications

(11 citation statements)

References 45 publications

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“…Thus, metabolic syndrome could lead to decreased muscular strength, which may not be the crucial factor in the relationship between SUA and LMS by different eGFR. Third, the decreased hemoglobin level could affect muscle mass and strength through several mechanisms associated with sarcopenia in non-dialysis chronic kidney disease patients [43] and kidney transplant recipients [45]. In the present study, we also adjusted the hemoglobin alone, which did not change the results in women and men.…”

Section: Discussionmentioning

confidence: 96%

Higher serum uric acid with a high eGFR is associated with decreased risk of low muscle strength in aged population: a retrospective cohort study

Huang

Chen

Duan

et al. 2022

Preprint

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BackgroundWe aimed to investigate the interaction between serum uric acid levels with estimated glomerular filtration rate (eGFR) to low muscle strength (LMS) in a large Chinese elderly population.MethodsCohort data were obtained from China Health and Retirement Longitudinal Study (CHARLS) in 2011 and 2015. Two thousand seven hundred forty-five community-dwelling older participants were enrolled for the follow-up. Serum uric acid was collected after 8 hours of fasting, and handgrip strength was measured with a dynamometer. eGFR was calculated with an equation based on the Chinese population. A generalized additive model was employed for interaction analysis and progressively adjusted confounders.ResultsIn this study, we found that men with a low eGFR (<60 mL/min/1.73 m2) reported higher SUA levels (5.91 ± 1.27) and older (72.53 ± 6.38) than those who had a high eGFR while women share the same difference with a lower eGFR in higher SUA levels (5.00 ± 1.34) and older (72.81 ± 6.83). After progressively adjusting covariates, in females, the OR for higher eGFR with higher SUA level remained significantly with low muscle strength (OR=0.80 95%CI=0.68-0.95 P=0.0102). This correlation, however, was not observed in men.ConclusionsThis population-based cohort study in Chinese revealed that high serum uric acid level with higher eGFR seems to be significantly associated with a lower risk of low muscle strength in the elderly, especially in females.

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Section: Discussionmentioning

confidence: 96%

Higher serum uric acid with a high eGFR is associated with decreased risk of low muscle strength in aged population: a retrospective cohort study

Huang

Chen

Duan

et al. 2022

Preprint

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“…Ischemic stroke and rheumatoid arthritis can directly affect balance and gait [ 66 , 67 ]. And kidney disease affects the homeostasis [ 68 ]. Thus, these people get worse muscle function.…”

Section: Discussionmentioning

confidence: 99%

Influencing factors of weak grip strength and fall: a study based on the China Health and Retirement Longitudinal Study (CHARLS)

Líu

Hou²,

Li³

et al. 2022

BMC Public Health

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Background Fall is a major cause of mortality and cause a significant burden on the healthcare system and economic system. Weak grip strength signifies impaired function. Older people with weak grip strength are at a higher risk of death. China has the largest ageing population in the world today. This study aims to analyze the factors contributing to weak grip strength and fall among Chinese. Methods This study analyzed data from the 2011 baseline and 2015 follow-up survey of the China Health and Retirement Longitudinal Study (CHARLS). To identify the risk factors of fall and weak grip strength, we used a stepwise multivariable logistic regression model and a least absolute shrinkage and selection operator (LASSO) regression model. Results In the LASSO regression model, all the risk factors were not shrunken. In the stepwise logistic regression model, adjusted for gender, age, grip strength, depression, and chronic disease, we found that female (aOR = 1.376, 95% CI = 1.243–1.523; P < 0.001), history of ischemic stroke (aOR = 1.786, 95% CI = 1.263–2.524; P = 0.001), depression (aOR = 1.559, 95% CI = 1.396–1.742; P < 0.001), weak grip strength (aOR = 1.285, 95% CI = 1.105–1.494; P = 0.001), older age (aOR = 1.227, 95% CI = 1.163–1.294; P < 0.001), rheumatoid arthritis (aOR = 1.410, 95% CI = 1.270–1.560; P < 0.001), history of kidney disease (aOR = 1.383, 95% CI = 1.136–1.682; P = 0.001) were factors associated with fall significantly. After further adjusting, we found the risk factors of weak grip strength included symptomatic knee osteoarthritis (aOR = 1.755, 95% CI 1.158–2.661; P = 0.008), living in rural area (aOR = 2.056, 95% CI 1.290–3.277; P = 0.002), depression (aOR = 1.523, 95% CI 1.116–2.078; P = 0.008), older age (aOR = 2.116, 95% CI 1.801–2.486; P < 0.001). Conclusion From the study, we found that older age and depression were risk factors of weak grip strength and fall. Weak grip strength was a risk factor of fall. Female, ischemic stroke, kidney disease, rheumatoid arthritis were risk factors of fall; living in rural area and symptomatic knee osteoarthritis were risk factors of weak grip strength.

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“…Meanwhile, a multicenter randomized trial involving 149 participants with chronic kidney disease (CKD) found that PhA could predict the presence of sarcopenia (P = 0.001) (41). A Poisson multivariate model put forward by de Amorin et al (42), which included PhA, IL-6, and creatinine, was able to consistently predict sarcopenia in the patients with non-dialysis chronic kidney disease (ND-CKD). However, different results were obtained with kidney transplant patients.…”

Section: Pha Prediction For Sarcopenia In Patients With Non-cancer Di...mentioning

confidence: 99%

Phase angle derived from bioelectrical impedance analysis as a marker for predicting sarcopenia

Ding

et al. 2022

Front. Nutr.

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Sarcopenia is commonly defined as the age-related loss of muscle mass and function and may be caused by several factors, such as genetics, environmental conditions, lifestyle, drug use, and, in particular, comorbidities. People with pre-existing conditions are more likely to develop sarcopenia and subsequently have a less favorable prognosis. Recently, phase angle (PhA), which is derived from bioelectrical impedance analysis (BIA), has received a great deal of attention, and numerous studies have been carried out to examine the relationship between PhA and sarcopenia in different conditions. Based on these studies, we expect that PhA could be used as a potential marker for sarcopenia in the future.

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Sarcopenia in Non-Dialysis Chronic Kidney Disease Patients: Prevalence and Associated Factors

Cited by 11 publications

References 45 publications

Higher serum uric acid with a high eGFR is associated with decreased risk of low muscle strength in aged population: a retrospective cohort study

Higher serum uric acid with a high eGFR is associated with decreased risk of low muscle strength in aged population: a retrospective cohort study

Influencing factors of weak grip strength and fall: a study based on the China Health and Retirement Longitudinal Study (CHARLS)

Phase angle derived from bioelectrical impedance analysis as a marker for predicting sarcopenia

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