@PHDTHESIS{ 2021:2120984281,
 	title = {Temporal dynamics in cardiometabolic risk factors, biochemical and immunological indicators in patients undergoing renal replacement therapy},
 	year = {2021},
 	url = "https://bdtd.unifal-mg.edu.br:8443/handle/tede/1910",
 	abstract = "Hemodialysis patients (HP) are exposed to malnutrition, cardiometabolic and pro-
 inflammatory risk factors. However, limited knowledge of variability in these risk factors
 remains a central limitation for adequate clinical management of HP. From a longitudinal
 study, we investigated the relationship between time-dependent variability in cardiometabolic
 risk factors and biochemical markers with cytokines and adipokines circulating levels in HP.
 Thirty-eight HP (women = 15, men = 23) aged 54.13 ± 16.78 years old underwent three
 independent anthropometric, nutritional, biochemical and immunological assessments (1, 6
 and 12 months). Patient’s characteristics (body mass, comorbidities, history of kidney disease
 and time on hemodialysis) were similar after sex stratification. From grouped data, 31.6 to
 100.0% HP exhibited multiple malnutrition and cardiometabolic risk factors in all time-points
 evaluated. All anthropometric and nutritional results and most biochemical markers were
 similar in 1, 6 and 12 months follow-up, indicating a marked time-dependent stability. Urea,
 creatinine, total proteins, albumin, adipokines (adiponectin, leptin and resistin) and cytokines
 (TNF, IL-6 and IL-10) levels were highly variable in 12 months follow-up. Direct correlations
 between leptin and fat mass, TNF and IL-6 with creatinine and pre-dialysis urea were
 observed in all time-points (1, 6 and 12 months). Creatinine and pre-dialysis urea were
 negatively correlated with IL-10 for the entire follow-up. Fat mass, creatinine and pre-dialysis
 urea were predictive markers of leptin, TNF, IL-6 and IL-10 variability. Our findings
 indicated that biochemical, nutritional and cardiovascular risk factors exhibit low time-
 dependent variability in HP under clinical and nutritional monitoring. However, adipokines
 and cytokines are highly variables, which can potentially be influenced by body adiposity,
 creatinine and urea clearance. Thus, these parameters can contribute to predict the
 inflammatory status in HP.",
 	publisher = {Universidade Federal de Alfenas},
 	scholl = {Programa de Pós-Graduação em Biociências Aplicada à Saúde},
 	note = {Instituto de Ciências Biomédicas}
}