Early start of dialysis has no survival benefit in end-stage renal disease patients.

The timing for dialysis initiationis still debated. The aim of this study was to compare mortality rates, using a propensity-score approach, in dialysis patients with early or late starts. From January 2000 to June 2009, incident adult patients (n = 836) starting dialysis for end-stage renal disease (ESRD) were enrolled. The patients were assigned to either an early- or late-start group depending on the initiation time of the dialysis. After propensity-score-basedmatching, 450 patients remained. At the initiation of dialysis, the mean estimated glomerular filtration rate (eGFR) was 11.1 mL/min/1.73 m(2) in the early-start group compared with 6.1 mL/min/1.73 m(2) in the late-start group. There were no significant differences in survival between the patients in the early- and late-start groups (Log rank tests P = 0.172). A higher overall mortality risk was observed in the early-start group than in the late-start group for the patients aged ≥ 70 yr (hazard ratio [HR]: 3.29; P = 0.048) and/or who had albumin levels ≥ 3.5 g/dL (HR: 2.53; P = 0.046). The survival of the ESRD patients was comparable between the patients in the early and late-start groups. The time to initiate dialysis should be determined based on clinical findings as well as the eGFR.

Hemodynamic and biochemical benefits of the objective measurement of fluid status in hemodialysis patients.

Subtle fluid imbalance can cause poor clinical outcomes among hemodialysis patients. However, the traditional subjective assessment of fluid status may be inadequate. We evaluated whether the objective measurement and optimization of fluid status could be beneficial for hemodynamic and biochemical parameters in hemodialysis patients. We enrolled 120 hemodialysis patients, who were clinically euvolemic for at least 3 months. Based on the results of a body composition monitor, we divided the patients into the following two groups: the hyperhydrated group (post hemodialysis fluid overload ≥ 1.1 L) and the dehydrated group (post hemodialysis fluid overload < -1.1 L). We reduced the patient's body weight in the hyperhydrated group and raised the body weight in the dehydrated group towards normohydration (-1.1 L ≤ fluid overload < 1.1 L) for 16 weeks. Forty-four of 120 patients were in the hyperhydrated group, and 18 of 120 patients in the dehydrated group. After 16 weeks, systolic blood pressure and pulse pressure decreased in the hyperhydrated group, while there was no increase in blood pressure in the dehydrated group after the intervention. Serum levels of monocyte chemotactic protein-1, an inflammatory marker, gradually decreased in the hyperhydrated group, and serum adiponectin levels, an anti-atherogenic biomarker, increased in the two groups. We found that hyperhydrated patients contributed over 1/3 of the participants despite enrolling clinically euvolemic patients and that body composition monitor-guided optimization of body fluid status may lead to improvement of inflammatory markers and anti-atherogenic adipokines as well as hemodynamic parameters in hemodialysis patients.

Increased plasma osmolar gap is predictive of contrast-induced acute kidney injury.

Contrast-induced acute kidney injury (CIAKI) is a common complication after percutaneous coronary artery intervention (PCI). It is urgent to find a novel, easily measurable and accurate predictor for the early detection of CIAKI. Hyperosmolarity and large amounts of contrast media are risk factors for CIAKI. However, there is no study on plasma osmolar gap as a predictor of CIAKI. We enrolled 89 patients undergoing elective PCI and tested changes of serum sodium, osmolar gap, and renal function at 0, 6, 12 and 24 hours. Plasma osmolar gap was calculated using the following formula: measured plasma osmolarity - [2(Na) + serum urea nitrogen/2.8 + glucose/18]. CIAKI was defined as follows: increase in serum creatinine of ≥ 50%, increase in serum creatinine of ≥ 0.3 mg/dL, or decrease in estimated glomerular filtration rate of ≥ 25% within 24 hours after PCI. The incidence of CIAKI was 13.5% (12/89 patients). The CIAKI group had higher plasma osmolar gaps 6 hours after PCI. The adjusted hazard ratio of the plasma osmolar gap from hour 6 (1-mOsm/L increments) to the development of CIAKI was 1.12 (95% confidence interval [CI], 1.01-1.26; P = 0.041). Sensitivity and specificity of 7 mOsm/L or higher plasma osmolar gap at hour 6 were 70.0% and 76.6%, respectively (area under the ROC curve = 0.77 [95% CI, 0.65-0.89]). Increased plasma osmolar gap may precede the development of CIAKI in patients undergoing PCI. In conclusion, plasma osmolar gap may be a useful predictor for the development of CIAKI.

Prognostic implication of interdialytic fluid retention during the beginning period in incident hemodialysis patients.

Patient with end stage renal disease have characteristics in common with heart failure patients, and volume overload in heart failure is associated with poorer outcomes. Fluid removal during the hemodialysis (HD) is the cornerstone of volume management in this population. The objective of this study is to assess the long-term prognostic effect of interdialytic fluid retention (IDFR) and its relationship with cardiovascular (CV) events in incident HD patients who newly started dialysis. IDFR is defined as the difference between the predialysis weight and the weight at the end of the previous dialysis session, and it mainly reflects the consequence of salt and water intake between two consecutive dialysis sessions. We retrospectively reviewed the 172 patients who newly started and maintained HD over 6 months at Gachon University Gil Hospital between 1 January 2003 and 31 December 2008. The average data were collected for 3 months during the beginning period, including total IDFR and IDFR/dry weight (IDFR%), nutritional parameters, blood pressure, and other biochemical parameters. Patients were classified into 3 cohorts according to the tertile of IDFR%; low (T1; ≤ 3.21%), intermediate (T2; 3.21%-4.56%), and high (T3; ≥ 4.56%). The high IDFR% group showed higher prevalence of diabetes and better nutritional status. The adjusted odds ratio for CV events was 1.562 (95% confidence interval, 1.026-2.378) for high IDFR% group, compared with the low IDFR% group. In incident HD patients, greater IDFR% soon after HD initiation showed an independent association with higher risk for CV events.

Association between renal dysfunction and the mixed plaque of coronary artery on computed tomographic angiography.

Coronary artery plaque is related to development of coronary artery disease (CAD), and chronic kidney disease is associated with CAD. However, the association of renal dysfunction (RD) with coronary artery plaque characteristics has not been fully elucidated. We evaluated the association between RD and coronary artery plaque characteristics in patients with suspected CAD, who underwent multislice computed tomographic angiography (CTA). A total of 918 patients were classified into 4 groups: group with no plaque (NP) (48.9%), group with calcified plaque (CP) (16.0%), group with noncalcified plaque (NCP) (22.4%), and group with mixed plaque (MP) (12.7%). NCP is considered as rupture-prone soft plaque, and CP as more stable lesion. The mean of estimated glomerular filtration rate (eGFR) was 82.5 ± 15.4 mL/min/1.73 m(2), and the prevalence of RD (defined as eGFR < 60 mL/min/1.73 m(2)) was 6.3%. The prevalence of RD was 3.3% in the NP group, 10.2% in the CP group, 5.3% in the NCP group, and 14.5% in the MP group (P < 0.001 by ANOVA tests). The adjusted odds ratio for RD was 3.38 (95% confidence interval, 1.27-9.04) for the MP group, compared with the NP group. The presence of RD showed an independent association with the MP counts (r = 0.155, P < 0.001); however, there was no association between RD and other plaque characteristics. In conclusion, RD is associated with MP rather than CP or NCP, compared with NP, which may reflect one of the developmental processes of CAD in patients with RD.

Volume control by using the body composition monitor in a puerperal patient on hemodialysis.

Accurate measurement of the volume status in hemodialysis patients is important as it can affect mortality. However, no studies have been conducted regarding volume management in cases where a sudden change of body fluid occurs, such as during puerperium in hemodialysis patients. This report presents a case in which the patient was monitored for her body composition and her volume status was controlled using a body composition monitor (BCM) during the puerperal period. This case suggests that using a BCM for volume management may help maintain hemodynamic stability in patients with a rapidly changing volume status for a short term period, such as during puerperium.