Soluble Fas affects erythropoiesis in vitro and acts as a potential predictor of erythropoiesis-stimulating agent therapy in patients with chronic kidney disease.

Serum soluble Fas (sFas) levels are associated with erythropoietin (Epo) hyporesponsiveness in patients with chronic kidney disease (CKD). Whether sFas could predict the need for erythropoiesis-stimulating agent (ESA) usage and its influence in erythropoiesis remain unclear. We evaluated the relation between sFas and ESA therapy in patients with CKD with anemia and its effect on erythropoiesis in vitro. First, we performed a retrospective cohort study with 77 anemic patients with nondialysis CKD. We performed in vitro experiments to investigate whether sFas could interfere with the behavior of hematopoietic stem cells (HSCs). HSCs were isolated from umbilical cord blood and incubated with recombinant sFas protein in a dose-dependent manner. Serum sFas positively correlated with Epo levels (r = 0.30, P = 0.001) but negatively with hemoglobin (r = -0.55, P < 0.001) and glomerular filtration rate (r = -0.58, P < 0.001) in patients with CKD at baseline. Elevated sFas serum levels (4,316 ± 897 vs. 2,776 ± 749, P < 0.001) with lower estimated glomerular filtration rate (26.2 ± 10.1 vs. 33.5 ± 14.3, P = 0.01) and reduced hemoglobin concentration (11.1 ± 0.9 vs. 12.5 ± 1.2, P < 0.001) were identified in patients who required ESA therapy compared with patients with non-ESA. Afterward, we detected that the sFas level was slight correlated with a necessity of ESA therapy in patients with nondialysis CKD and anemia. In vitro assays demonstrated that the erythroid progenitor cell frequency negatively correlated with sFas concentration (r = -0.72, P < 0.001). There was decreased erythroid colony formation in vitro when CD34+ HSCs were incubated with a higher concentration of sFas protein (1.56 ± 0.29, 4.33 ± 0.53, P < 0.001). Our findings suggest that sFas is a potential predictor for ESA therapy in patients with nondialysis CKD and that elevated sFas could affect erythropoiesis in vitro.

Impact of machine perfusion after long static cold storage on delayed graft function incidence and duration and time to hospital discharge.

Delayed graft function (DGF) is very high in our center (70%-80%), and we usually receive a kidney for transplant after more than 22 hours of static cold ischemia time (CIT). Also, there is an inadequate care of the donors, contributing to a high rate of DGF. We decided to test whether machine perfusion (MP) after a CIT improved the outcome of our transplant patients. We analyzed the incidence of DGF, its duration, and the length of hospital stay (LOS) in patients who received a kidney preserved with MP after a CIT (hybrid perfusion-HP). We included 54 deceased donors kidneys preserved with HP transplanted from Feb/13 to Jul/14, and compared them to 101 kidney transplants preserved by static cold storage (CS) from Nov/08 to May/12. The median pumping time was 11 hours. DGF incidence was 61.1% vs 79.2% (P = .02), median DGF duration was 5 vs 11 days (P < .001), and median LOS was 13 vs 18 days (P < .011), for the HP compared to CS group. The observed reduction of DGF with machine perfusion did not occur in donors over 50 years old. In the multivariate analysis, risk factors for DGF, adjusted for CIT, were donor age (OR, 1.04; P = .005) and the absence of use of MP (OR, 1.54; P = .051). In conclusion, the use of HP contributed to faster recovery of renal function and to a shorter length of hospital stay.

Impact of acute kidney injury exposure period among liver transplantation patients.

BACKGROUND: Acute kidney injury is a common complication of liver transplantation. In this single-centre retrospective observational study, we investigated the impact of acute kidney disease on liver recipient survival. METHODS: The study population consisted of patients who underwent a liver engraftment between January 2002 and November 2006, at a single transplantation centre in São Paulo, Brazil. Acute kidney injury diagnosis and staging were according to the recommendations of the Acute Kidney Injury Network and consisted of scanning the daily serum creatinine levels throughout the hospital stay. Patients requiring renal replacement therapy prior to transplantation, those who developed acute kidney injury before the procedure or those receiving their second liver graft were excluded from the study. RESULTS: A total of 444 liver transplantations were performed during the study period, and 129 procedures (29%) were excluded. The remaining 315 patients constituted the study population. In 207 procedures, the recipient was male (65%). The mean age of the population was 51 years. Cumulative incidence of acute kidney injury within 48 h, during the first week after transplantation, and throughout the hospital stay was 32, 81 and 93%, respectively. Renal replacement therapy was required within a week after the transplantation in 31 procedures (10%), and another 17 (5%) required replacement therapy after that period. Mean follow-up period was 2.3 years. Time in days from acute kidney injury diagnosis to initiation of replacement therapy or reaching serum creatinine peak was associated with lower overall survival even when adjusted for significant potential confounders (HR 1.03; 95% CI 1.01, 1.05; p=0.002). Overall, patients experiencing acute kidney injury lasting for a week or more before initiation of replacement therapy experienced a threefold increase in risk of death (HR 3.02; 95% CI 2.04, 4.46; p<0.001). CONCLUSIONS: Acute kidney injury after liver transplantation is remarkably frequent and has a substantial impact on patient survival. Delaying the initiation of renal replacement therapy in such population may increase mortality by more than 20% per day.

Effects of simvastatin on cytokines secretion from mononuclear cells from critically ill patients with acute kidney injury.

PURPOSE: To assess the in vitro effects of simvastatin on IL-10 and TNF-α secretion from peripheral blood mononuclear cells (PBMC) of critically ill patients with and without acute kidney injury (AKI). METHODS: PBMC were collected from 63 patients admitted to the intensive care unit (ICU) and from 20 healthy controls. Patients were divided in 3 subgroups: with AKI, with sepsis and without AKI and with AKI and sepsis. After isolation by ficoll-gradient centrifugation cells were incubated in vitro with LPS 1 ng/mL, simvastatin (10(-8)M) and with LPS plus simvastatin for 24h. TNF-α and IL-10 concentrations on cells surnatant were determined by ELISA. RESULTS: Cells isolated from critically ill patients showed a decreased spontaneous production of TNF-α and IL-10 compared to healthy controls (6.7 (0.2-12) vs 103 (64-257) pg/mL and (20 (13-58) vs 315 (105-510) pg/mL, respectively, p<0.05). Under LPS-stimulus, IL-10 production remains lower in patients compared to healthy control (451 (176-850) vs 1150 (874-1521) pg/mL, p<0.05) but TNF-α production was higher (641 (609-841) vs 406 (201-841) pg/mL, p<0.05). The simultaneous incubation with LPS and simvastatin caused decreased IL-10 production in cells from patients compared to control (337 (135-626) vs 540 (345-871) pg/mL, p<0.05) and increased TNF-α release (711 (619-832) vs 324 (155-355) pg/mL, p<0.05). Comparison between subgroups showed that the results observed in TNF-α and IL-10 production by PBMC from critically ill patients was independent of AKI occurrence. CONCLUSIONS: The PBMC treatment with simvastatin resulted in attenuation on pro-inflammatory cytokine spontaneous production that was no longer observed when these cells were submitted to a second inflammatory stimulus. Our study shows an imbalance between pro and anti-inflammatory cytokine production in PBMC from critically ill patients regardless the presence of AKI.

Impact of a program to prevent central line-associated bloodstream infection in the zero tolerance era.

BACKGROUND: Central line-associated bloodstream infection (CLABSI) is one of the most important health care-associated infections in the critical care setting. METHODS: A quasiexperimental study involving multiple interventions to reduce the incidence of CLABSI was conducted in a medical-surgical intensive care unit (ICU) and in 2 step-down units (SDUs). From March 2005 to March 2007 (phase 1 [P1]), some Centers for Disease Control and Prevention evidence-based practices were implemented. From April 2007 to April 2009 (P2), we intervened in these processes at the same time that performance monitoring was occurring at the bedside, and we implemented the Institute for Healthcare Improvement central line bundle for all ICU and SDU patients requiring central venous lines. RESULTS: The mean incidence density of CLABSI per 1000 catheter-days in the ICU was 6.4 in phase 1 and 3.2 in phase 2, P < .001. The mean incidence density of CLABSI per 1000 catheter-days in the SDUs was 4.1 in phase 1 and 1.6 in phase 2, P = .005. CONCLUSION: These results suggest that reducing CLABSI rates in an ICU setting is a complex process that involves multiple performance measures and interventions that can also be applied to SDU settings.

Successful prevention of ventilator-associated pneumonia in an intensive care setting.

BACKGROUND: Ventilator-associated pneumonia (VAP) is one of the most common health care-associated infections (HAIs) in critical care settings. OBJECTIVE: Our objective was to examine the effect of a series of interventions, implemented in 3 different periods to reduce the incidence of VAP in an intensive care unit (ICU). METHODS: A quasiexperimental study was conducted in a medical-surgical ICU. Multiple interventions to optimize VAP prevention were performed during different phases. From March 2001 to December 2002 (phase 1: P1), some Centers for Disease Control and Prevention (CDC) evidence-based practices were implemented. From January 2003 to December 2006 (P2), we intervened in these processes at the same time that performance monitoring was occurring at the bedside, and, from January 2007 to September 2008 (P3), we continued P2 interventions and implemented the Institute for Healthcare Improvement's ventilator bundle plus oral decontamination with chlorhexidine and continuous aspiration of subglottic secretions. RESULTS: The incidence density of VAP in the ICU per 1000 patient-days was 16.4 in phase 1, 15.0 in phase 2, and 10.4 in phase 3, P=.05. Getting to zero VAP was possible only in P3 when compliance with all interventions exceeded 95%. CONCLUSION: These results suggest that reducing VAP rates to zero is a complex process that involves multiple performance measures and interventions.