Prediction of measured GFR after living kidney donation from pre-donation parameters.

BACKGROUND: One of the challenges in living kidney donor screening is to estimate remaining kidney function after donation. Here we developed a new model to predict post-donation measured glomerular filtration rate (mGFR) from pre-donation serum creatinine, age and sex. METHODS: In the prospective development cohort (TransplantLines, n = 511), several prediction models were constructed and tested for accuracy, precision and predictive capacity for short- and long-term post-donation 125I-iothalamate mGFR. The model with optimal performance was further tested in specific high-risk subgroups (pre-donation eGFR <90 mL/min/1.73 m2, a declining 5-year post-donation mGFR slope or age >65 years) and validated in internal (n = 509) and external (Mayo Clinic, n = 1087) cohorts. RESULTS: In the development cohort, pre-donation estimated GFR (eGFR) was 86 ± 14 mL/min/1.73 m2 and post-donation mGFR was 64 ± 11 mL/min/1.73 m2. Donors with a pre-donation eGFR ≥90 mL/min/1.73 m2 (present in 43%) had a mean post-donation mGFR of 69 ± 10 mL/min/1.73 m2 and 5% of these donors reached an mGFR <55 mL/min/1.73 m2. A model using pre-donation serum creatinine, age and sex performed optimally, predicting mGFR with good accuracy (mean bias 2.56 mL/min/1.73 m2, R2 = 0.29, root mean square error = 11.61) and precision [bias interquartile range (IQR) 14 mL/min/1.73 m2] in the external validation cohort. This model also performed well in donors with pre-donation eGFR <90 mL/min/1.73 m2 [bias 0.35 mL/min/1.73 m2 (IQR 10)], in donors with a negative post-donation mGFR slope [bias 4.75 mL/min/1.73 m2 (IQR 13)] and in donors >65 years of age [bias 0.003 mL/min/1.73 m2 (IQR 9)]. CONCLUSIONS: We developed a novel post-donation mGFR prediction model based on pre-donation serum creatinine, age and sex.

Time in Therapeutic Range for Dialysis Patients on Warfarin: Determination and the Effect of Dietary Intervention.

This study aimed to identify the time in therapeutic range (TTR) for dialysis patients on warfarin, and improve TTR with dietary review and intervention of interacting foods. We identified 151 patients undergoing hemodialysis in two units who were being treated with warfarin from January 1, 2010, through February 1, 2018, who were included in the overall TTR study. Of these, 15 patients were available to undergo the dietary intervention. International normalized ratio values were collected retrospectively for all eligible hemodialysis patients, and TTR was calculated for each period in which the patient was on hemodialysis. Patients who were available and agreed to the intervention underwent targeted dietician review of interacting foods, and their TTR post-treatment was calculated. The median (interquartile range [IQR]) TTR was 44 (IQR, 29 to 53) % among the 151 patients. Among the 15 patients who underwent the intervention, median (IQR) TTR was 52 (IQR, 32 to 56) pre-intervention and 51 (IQR, 38 to 69) post-intervention (P=0.53). TTR for dialysis patients is low in this overall cohort despite patients being seen at an integrated health care system. Focused improvement projects such as dietary review of interacting foods may help increase a patient's TTR.

Global Glomerulosclerosis in Kidney Biopsies With Differing Amounts of Cortex: A Clinical-Pathologic Correlation Study.

RATIONALE & OBJECTIVE: The number of glomeruli is often used to determine the adequacy of a kidney biopsy (eg, at least 10 glomeruli). It is often assumed that biopsy specimens with limited amounts of cortex are too imprecise for detection of focal pathology. STUDY DESIGN: Clinical-pathologic correlation (cross-sectional). SETTING & PARTICIPANTS: Living kidney donors who underwent a needle core biopsy of their kidney at the time of donation. EXPOSURE: The amount of cortex biopsied as determined by either the number of glomeruli or area of cortex on histology. OUTCOME: The percentage of globally sclerotic glomeruli, density of interstitial fibrosis foci, and severity of arteriosclerosis were determined. ANALYTICAL APPROACH: A beta-binomial model assessed how the mean percentage of globally sclerotic glomeruli and patient variability in percentage of globally sclerotic glomeruli differed with the number of glomeruli on the biopsy specimen. Additional models assessed the association of interstitial fibrosis and arteriosclerosis with number of glomeruli. RESULTS: There were 2,915 kidney donors studied. Fewer glomeruli on the biopsy specimen associated with higher mean percentage of globally sclerotic glomeruli and higher patient variability in percentage of globally sclerotic glomeruli. Smaller cortical volume on imaging correlated with both less cortex on biopsy and higher percentage of globally sclerotic glomeruli. Based on a statistical simulation, the probability of patient percentage of globally sclerotic glomeruli ≥ 10% if the biopsy percentage of globally sclerotic glomeruli is ≥10% (positive predictive value) was 45% with 1 to 9 glomeruli versus 31% with 10 or more glomeruli; the negative predictive value was 91% versus 98%. Fewer glomeruli also associated with more interstitial fibrosis and arteriosclerosis. LIMITATIONS: The study was limited to living kidney donors. Patient variability in percentage of globally sclerotic glomeruli was based on a statistical model because multiple biopsy specimens per patient were not available. CONCLUSIONS: The amount of cortex on a needle core biopsy is not completely random. Chronic changes from loss of cortex contribute to low amounts of cortex on a kidney biopsy specimen.