38 research outputs found
Predictive abilities of baseline measurements of fluid overload, assessed by bioimpedance spectroscopy and serum N-terminal pro-B-type natriuretic peptide, for mortality in hemodialysis patients
Introduction : Fluid overload is one of the most important, yet modifiable, risk factors associated with worse outcomes in hemodialysis (HD) patients. However, its precise assessment in clinical practice is still under investigation.
Material and methods : This is an observational prospective study which included 285 stable patients with end-stage renal disease on standard thrice-weekly HD therapy. Overhydration was assessed by the combination of relative fluid overload (RFO), using bioimpedance spectroscopy, and N-terminal pro-B-type natriuretic peptide (NT-proBNP). The outcome of interest was all-cause mortality.
Results : The median values for NT-proBNP and RFO were 4595 pg/ml and 6.9%, respectively. We divided the study population into four groups according to these median levels: group 1 – low NT-proBNP and low RFO; group 2 – high NT-proBNP and low RFO; group 3 – low NT-proBNP and high RFO; group 4 – high NT-proBNP and high RFO). During the follow-up (mean: 41.1, median: 48.7 months), 89 (31.2%) patients died. In the univariable Cox survival analysis only patients in group 4, and not those from group 2 or 3, had significantly higher HRs as compared to those in group 1 (HR = 1.5, 95% CI: 0.8–2.8, HR = 1.6, 95% CI: 0.8–2.9 and HR = 2.4, 95% CI: 1.3–4.2, for group 2, 3 and 4, respectively). Furthermore, these results were maintained in the multivariable Cox analysis.
Conclusions : Including both bioimpedance and NT-proBNP monitoring in a more comprehensive fluid status assessment could improve the diagnosis of fluid overload with a final improvement in patients’ outcome
Novel Faces of Fibroblast Growth Factor 23 (FGF23): Iron Deficiency, Inflammation, Insulin Resistance, Left Ventricular Hypertrophy, Proteinuria and Acute Kidney Injury
FGF23 is a hormone that appears as the core regulator of phosphate metabolism. Great deal of data has accumulated to demonstrate increased FGF23 secretion from the bone to compensate for even subtle increases in serum phosphorus long before intact PTH. However, recent evidence points to the fact that actions and interactions of FGF23 are not limited solely to phosphate metabolism. FGF23 may be implicated in iron metabolism and erythropoiesis, inflammation, insulin resistance, proteinuria, acute kidney injury and left ventricular hypertrophy. In this review, we will summarize latest experimental and clinical data examining impact of FGF23 on aforementioned pathophysiologic pathways/disorders
Superior Predictive Value for NTproBNP Compared with High Sensitivity cTnT in Dialysis Patients: A Pilot Prospective Observational Study
Background/Aims: The clinical utility of the new biomarker, high sensitivity cardiac T troponin (hs-cTnT) is still unclear in dialysis patients. Furthermore, the prognostic value of combining N-terminal pro-B-type natriuretic peptide (NT-pro-BNP) and hs-cTnT has not been explored so far. The objective of this pilot study was to determine the utility of hs-cTnT alone versus hs-cTnT in combination with NT-proBNP for predicting death in a stable hemodialysis cohort. Methods: A prospective observational pilot study including 98 chronic asymptomatic hemodialysis patients with a follow up period of 24 months was designed. The cut-off values for NT-proBNP and hs-cTnT were calculated using receiver operating characteristic (ROC) analysis, using mortality as an end-point. Based on the cut-off values, the cohort was divided into four groups. Group 1 - NT-proBNP 69.48 ng/l; group 3 - NT-proBNP > 14275 pg/ml and hs-cTnT 14275 pg/ml and hs-cTnT > 69.48 ng/l. Survival for each group was determined using the Kaplan-Meier method and Cox regression analysis. Results: During the follow-up period 16 patients died. According to the ROC curves analysis, the cut-off point for hs-cTnT and for NT-proBNP were 69.43 ng/l (AUC = 0.618; p = 0.04) and 14275 pg/ml (AUC = 0.722; p = 0.003), respectively. In univariate Cox analysis, both hs-cTnT (HR = 3.34; p = 0.016) and NT-proBNP (HR = 5.94; p = 0.01) were predictors of death. In the multivariable Cox proportional hazards model, only NT-pro-BNP levels above the cut-off value remained an independent predictor of all-cause mortality. The combined elevation of both biomarkers did not improve significantly the prognostic value compared with NT-proBNP alone (HR = 6.15 versus HR =4 .78; p = 0.338). Conclusion: NT-pro-BNP is a strong predictor of overall mortality in asymptomatic hemodialysis patients. The addition of hs-cTnT did not improve the prognostic accuracy compared with NT proBNP alone
The risk for chronic kidney disease in metabolically healthy obese patients: A systematic review and meta-analysis.
BACKGROUND: Chronic kidney disease (CKD) is associated with obesity and metabolic syndrome. Nevertheless, the association of CKD with phenotype referred as metabolically healthy obese or overweight is unclear. In this this systematic review and meta-analysis, we investigate the relationships between obesity and CKD independent of metabolic syndrome by appraising published evidence in studies focusing on metabolically healthy obese people.
MATERIALS AND METHODS: We performed a literature search through three databases Embase (Elsevier), the Cochrane Central Register of Controlled Trials (Wiley) and PubMed/Medline Web of Science up to March 2022 with the following terms: chronic kidney disease , kidney function , obesity , metabolic syndrome , metabolically healthy obesity , metabolically healthy overweight . Metabolically unhealthy was defined an individual having at least 3 of the following: abdominal obesity, high blood pressure, hypertriglyceridemia, low HDL cholesterol and hyperglycaemia. We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for reporting. Prospective, retrospective, randomized and nonrandomized studies fitting the search criteria were included in our results.
RESULTS: Our final analysis included 16 studies with a total number of 4.965.285 participants. There is considerable heterogeneity in terms of study design, participant characteristics and number of participants across individual studies. In comparison to healthy normal weight patients, the risk was progressively higher in overweight (RR 1.29, 95% CI 1.27 to 1.32, p \u3c 0.001) and obese patients (RR 1.47, 95% CI 1.31 to 1.65, p \u3c 0.001).
CONCLUSION: Metabolically healthy overweight and obese individuals have higher risk of CKD compared to individuals without weight excess
Real-World Impact of Cardiovascular Disease and Anemia on Quality of Life and Productivity in Patients with Non-Dialysis-Dependent Chronic Kidney Disease
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Effect of tirzepatide on blood pressure and lipids: A meta-analysis of randomized controlled trials.
AIM: To perform a meta-analysis to quantify the effect of tirzepatide on blood pressure and lipids.
METHODS: PubMed, Ovid/Medline, Web of Science, Scopus, Cochrane Library and CINAHL databases were screened and the randomized controlled trials evaluating the effects of tirzepatide on either blood pressure or lipid profiles were included.
RESULTS: Seven randomized controlled trials have investigated the effects of tirzepatide on blood pressure and lipid profiles. Regardless of the dose administered, tirzepatide resulted in significant decreases in systolic blood pressure of median -4.20 (95% confidence interval [CI] -5.17 to -3.23) mmHg for 5 mg, -5.34 (-6.31 to -4.37) mmHg for 10 mg, and -5.77 (-6.73 to -4.81) mmHg for 15 mg. At all three once-weekly doses, tirzepatide treatment resulted in significant decreases in total cholesterol levels: median -3.76% (95% CI -5.20% to -2.31%) for 5 mg; -4.63% (-6.07% to -3.19%) for 10 mg; and -5.93% (-7.36% to -4.49%) for 15 mg. Additionally, tirzepatide treatment led to increased high-density lipoprotein (HDL) cholesterol levels and decreased low-density lipoprotein (LDL) cholesterol and triglyceride levels.
CONCLUSIONS: Tirzepatide induced clinically meaningful reductions in the levels of systolic and diastolic blood pressure, total cholesterol, LDL cholesterol and triglycerides, along with increases in the level of HDL cholesterol