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1.
Ren Fail ; 37(6): 951-6, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26030798

ABSTRACT

INTRODUCTION: Left ventricular hypertrophy (LVH) is a significant risk factor for cardiovascular complications in hemodialysis (HD) patients. Hypervolemia has been accepted as an independent risk factor for progressive LVH in HD patients. Additionally, high FGF23 levels have been a significant predictor of cardiovascular mortality and morbidity in chronic kidney disease and HD patients. The aim of our study is to investigate the correlation among LVH, interdialytic volume increase and FGF-23 in the patients on a chronic hemodialysis program. DESIGN AND METHODS: A total of 97 chronic hemodialysis patients (64.43 ± 11.28 years old, M/F:47/50) were included in the study. Human FGF-23 ELISA kit was used for FGF-23 analysis of predialysis blood samples. Echocardiographic evaluation was performed in all of the patients after dialysis. Left Ventricular Mass Index (LVMI) was calculated by using the Devereux Formula. We collected the following data: LVMI, FGF-23 levels, interdialytic fluid gain, blood pressure changes, and the other biochemical and clinical parameters. RESULTS: Mean LVMI of the patients was 184.41 ± 48.62 g/m(2). LVMI of the patients with daily urine output > 250 mL was found significantly lower. Statistically significant positive correlation was found between predialysis systolic blood pressure, predialysis diastolic blood pressure, predialysis mean arterial blood pressure and LVMI measurements (p < 0.01). Mean interdialytic volume excess was correlated with LVMI measurements of the patients (r = 0.459; p < 0.01). Increased FGF-23 levels (159.79 ± 134.99 ng/L) predicted increased LVMI measurements of the patients (r = 0.322; p < 0.01). In addition, FGF-23 levels were also increased as the interdialytic fluid volume increased (r = 0.326; p < 0.05). A positive correlation was also found between FGF-23 levels and interventricular septum thickness (r = 0.238; p < 0.05). Predialysis mean arterial blood pressure, predialysis volume overload and presence of diabetes were determined to be independent risk factors on LVMI on multivariate regression analysis. CONCLUSION: Our study showed that interdialytic volume overload increased both LVMI and FGF-23 values. We can consider that interdialytic volume control exerts positive effects on increased FGF-23 levels which predict the negative cardiovascular outcomes.


Subject(s)
Fibroblast Growth Factors/blood , Hypertrophy, Left Ventricular/etiology , Hypertrophy, Left Ventricular/mortality , Kidney Failure, Chronic/therapy , Renal Dialysis/adverse effects , Water-Electrolyte Imbalance/complications , Adult , Aged , Biomarkers/blood , Cohort Studies , Disease Progression , Echocardiography, Doppler/methods , Female , Fibroblast Growth Factor-23 , Hemodialysis Units, Hospital , Humans , Hypertrophy, Left Ventricular/blood , Kidney Failure, Chronic/diagnosis , Kidney Failure, Chronic/mortality , Linear Models , Male , Middle Aged , Predictive Value of Tests , Prognosis , Prospective Studies , Renal Dialysis/methods , Risk Assessment , Survival Rate , Treatment Outcome , Turkey , Water-Electrolyte Imbalance/diagnosis
2.
Ren Fail ; 37(2): 268-72, 2015 Mar.
Article in English | MEDLINE | ID: mdl-25457372

ABSTRACT

INTRODUCTION: The aim of the study is to analyze the voice changes occurring during a hemodialysis session objectively and to investigate the statistical correlation between voice changes and ultrafiltration, blood pressure, dry weight and the other variables of the patients. MATERIALS AND METHODS: A total of 169 patients were included in the study. Electronic voice recordings of the patients were performed with the aim of making objective voice analysis before and after dialysis. Fundamental frequency measurements occurring at the level of the larynx (Fo) and harmonic-to-noise ratio (HNR) were measured from these voice recordings. RESULTS: When the voice recordings obtained from 169 hemodialysis patients before and after dialysis were investigated, it was observed that a significant increase occurred in the Fo (from 164.52±43.36 Hz to 193.19±47.08 Hz, p<0.01). When the change in HNR was investigated, a significant reduction was determined in the post-dialysis measurements (4.6±3.23 dB) compared to the pre-dialysis measurements (16.10±4.06 dB, p<0.01). Mean 2.49±0.83 L of ultrafiltration was performed and a significant reduction was observed in post-session body weights of the patients (p<0.01). There was a highly statistical significance between the measurements of post-dialysis Fo and post-dialysis body weights. A highly significant correlation was determined between the amount of ultrafiltration performed and a significant increase observed in Fo before and after dialysis. Also a significant correlation was determined between the reduction in the mean post-session blood pressures and the reduction in the HNRs. CONCLUSION: Objective voice analysis is suggesting that it can be a simple and applicable method that can be used to determine the dry weight.


Subject(s)
Kidney Failure, Chronic , Renal Dialysis , Ultrafiltration , Voice Disorders , Voice Quality/physiology , Adult , Aged , Blood Pressure Determination , Body Weight , Female , Humans , Kidney Failure, Chronic/diagnosis , Kidney Failure, Chronic/physiopathology , Kidney Failure, Chronic/therapy , Male , Middle Aged , Renal Dialysis/adverse effects , Renal Dialysis/instrumentation , Renal Dialysis/methods , Sound Spectrography , Speech Production Measurement , Statistics as Topic , Turkey , Ultrafiltration/adverse effects , Ultrafiltration/methods , Voice Disorders/diagnosis , Voice Disorders/etiology , Voice Disorders/physiopathology
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