The furosemide stress test for prediction of worsening acute kidney injury in critically ill patients: A multicenter, prospective, observational study.

PURPOSE: To validate the furosemide stress test (FST) for predicting the progression of acute kidney injury (AKI). MATERIALS AND METHODS: We performed a multicenter, prospective, observational study in patients with stage I or II AKI. The FST (1 mg/kg for loop diuretic naïve patients and 1.5 mg/kg in patients previously exposed to loop diuretics) was administered. Subsequent urinary flow rate (UFR) recorded and predictive ability of urinary output was measured by the area under the curve receiver operatic characteristics (AuROC). Primary outcome was progression to Stage III AKI. Secondary outcomes included in-hospital mortality and adverse events. RESULTS: We studied 92 critically ill patients. 23 patients progressed to stage III AKI and had significantly lower UFR (p < 0.0001). The UFR during the first 2 h was most predictive of progression to stage III AKI (AuROC = 0.87), with an ideal cut-off of less than 200mls, with a sensitivity of 73.9% and specificity of 90.0%. CONCLUSION: In ICU patients without severe CKD with mild AKI, a UFR of less than 200mls in the first 2 h after an FST is predictive of progression to stage III AKI. Future studies should focus on incorporating a FST as part of a clinical decision tool for further management of critically ill patients with AKI.

Pharmacogenomics-Based Point-of-Care Clinical Decision Support Significantly Alters Drug Prescribing.

Changes in behavior are necessary to apply genomic discoveries to practice. We prospectively studied medication changes made by providers representing eight different medicine specialty clinics whose patients had submitted to preemptive pharmacogenomic genotyping. An institutional clinical decision support (CDS) system provided pharmacogenomic results using traffic light alerts: green = genomically favorable, yellow = genomic caution, red = high risk. The influence of pharmacogenomic alerts on prescribing behaviors was the primary endpoint. In all, 2,279 outpatient encounters were analyzed. Independent of other potential prescribing mediators, medications with high pharmacogenomic risk were changed significantly more often than prescription drugs lacking pharmacogenomic information (odds ratio (OR) = 26.2 (9.0-75.3), P < 0.0001). Medications with cautionary pharmacogenomic information were also changed more frequently (OR = 2.4 (1.7-3.5), P < 0.0001). No pharmacogenomically high-risk medications were prescribed during the entire study when physicians consulted the CDS tool. Pharmacogenomic information improved prescribing in patterns aimed at reducing patient risk, demonstrating that enhanced prescription decision-making is achievable through clinical integration of genomic medicine.

A Pharmacokinetic and Safety Study of Trebananib, an Fc-Fusion Peptibody, in Patients With Advanced Solid Tumors and Varying Degrees of Renal Dysfunction.

Clearance of trebananib (AMG 386), a 64-kD antiangiogenic peptibody, has been associated with estimated glomerular filtration rate (eGFR). We prospectively evaluated trebananib pharmacokinetics and safety/tolerability in advanced solid tumor patients with varying degrees of renal function. Patients were assigned to normal renal function, mild, moderate, or severe renal dysfunction cohorts based on eGFR, received trebananib 15 mg/kg i.v. weekly, and underwent week 1 and week 5 pharmacokinetic and weekly safety assessments. For 28 patients, trebananib clearance decreased from normal renal function (1.52 mL/hr/kg), to mild (1.20 mL/hr/kg), moderate (0.79 mL/hr/kg), and severe (0.53 mL/hr/kg) renal dysfunction (P ≤ 0.001). Treatment-related adverse events showed no association with clearance. Trebananib clearance was proportional to eGFR and unrelated to pretreatment protein excretion. These data confirm a role for renal clearance of a recombinant peptibody with molecular weight <69 kD and support a longer dosing interval for patients with severe renal dysfunction.

Patient Perceptions of Care as Influenced by a Large Institutional Pharmacogenomic Implementation Program.

Despite growing clinical use of genomic information, patient perceptions of genomic-based care are poorly understood. We prospectively studied patient-physician pairs who participated in an institutional pharmacogenomic implementation program. Trust/privacy/empathy/medical decision-making (MDM)/personalized care dimensions were assessed through patient surveys after clinic visits at which physicians had access to preemptive pharmacogenomic results (Likert scale, 1 = minimum/5 = maximum; mean [SD]). From 2012-2015, 1,261 surveys were issued to 507 patients, with 792 (62.8%) returned. Privacy, empathy, MDM, and personalized care scores were significantly higher after visits when physicians considered pharmacogenomic results. Importantly, personalized care scores were significantly higher after physicians used pharmacogenomic information to guide medication changes (4.0 [1.4] vs. 3.0 [1.6]; P < 0.001) compared with prescribing visits without genomic guidance. Multivariable modeling controlling for clinical factors confirmed personalized care scores were more favorable after visits with genomic-influenced prescribing (odds ratio [OR] = 3.26; 95% confidence interval [CI] = (1.31-8.14); P < 0.05). Physicians seem to individualize care when utilizing pharmacogenomic results and this decision-making augmentation is perceived positively by patients.