Detection of Subclinical Rejection in Pediatric Kidney Transplantation: Current and Future Practices.

INTRODUCTION: The successes in the field of pediatric kidney transplantation over the past 60 years have been extraordinary. Year over year, there have been significant improvements in short-term graft survival. However, improvements in longer-term outcomes have been much less apparent. One important contributor has been the phenomenon of low-level rejection in the absence of clinical manifestations-so-called subclinical rejection (SCR). METHODS: Traditionally, rejection has been diagnosed by changes in clinical parameters, including but not limited to serum creatinine and proteinuria. This review examines the shortcomings of this approach, the effects of SCR on kidney allograft outcome, the benefits and drawbacks of surveillance biopsies to identify SCR, and new urine and blood biomarkers that define the presence or absence of SCR. RESULTS: Serum creatinine is an unreliable index of SCR. Surveillance biopsies are the method most utilized to detect SCR. However, these have significant drawbacks. New biomarkers show promise. These biomarkers include blood gene expression profiles and donor derived-cell free DNA; urine gene expression profiles; urinary cytokines, chemokines, and metabolomics; and other promising blood and urine tests. CONCLUSION: Specific emphasis is placed on studies carried out in pediatric kidney transplant recipients. TRIAL REGISTRATION: ClinicalTrials.gov: NCT03719339.

Comparison of estimated GFR using cystatin C versus creatinine in pediatric kidney transplant recipients.

BACKGROUND: An accurate, rapid estimate of glomerular filtration rate (GFR) in kidney transplant patients affords early detection of transplant deterioration and timely intervention. This study compared the performance of serum creatinine (Cr) and cystatin C (CysC)-based GFR equations to measured GFR (mGFR) using iohexol among pediatric kidney transplant recipients. METHODS: CysC, Cr, and mGFR were obtained from 45 kidney transplant patients, 1-18 years old. Cr- and CysC-estimated GFR (eGFR) was compared against mGFR using the Cr-based (Bedside Schwartz, U25-Cr), CysC-based (Gentian CysC, CAPA, U25-CysC), and Cr-CysC combination (CKiD Cr-CysC, U25 Cr-CysC) equations in terms of bias, precision, and accuracy. Bland-Altman plots assessed the agreement between eGFR and mGFR. Secondary analyses evaluated the formulas in patients with biopsy-proven histological changes, and K/DOQI CKD staging. RESULTS: Bias was small with Gentian CysC (0.1 ml/min/1.73 m2); 88.9% and 37.8% of U25-CysC estimations were within 30% and 10% of mGFR, respectively. In subjects with histological changes on biopsy, Gentian CysC had a small bias and U25-CysC were more accurate-both with 83.3% of and 41.7% of estimates within 30% and 10% mGFR, respectively. Precision was better with U25-CysC, CKiD Cr-CysC, and U25 Cr-CysC. Bland-Altman plots showed the Bedside Schwartz, Gentian CysC, CAPA, and U25-CysC tend to overestimate GFR when > 100 ml/min/1.72 m2. CAPA misclassified CKD stage the least (whole cohort 24.4%, histological changes on biopsy 33.3%). CONCLUSIONS: In this small cohort, CysC-based equations with or without Cr may have better bias, precision, and accuracy in predicting GFR.

Prospective Study of the Multisite Spread of a Medication Safety Intervention: Factors Common to Hospitals With Improved Outcomes.

Context and implementation approaches can impede the spread of patient safety interventions. The objective of this article is to characterize factors associated with improved outcomes among 9 hospitals implementing a medication safety intervention. Nephrotoxic Injury Negated by Just-in-Time Action (NINJA) is a pharmacist-driven intervention that led to a sustained reduction in nephrotoxic medication-associated acute kidney injury (NTMx-AKI) at 1 hospital. Using qualitative comparative analysis, the team prospectively assessed the association between context and implementation factors and NTMx-AKI reduction during NINJA spread to 9 hospitals. Five hospitals reduced NTMx-AKI. These 5 had either (1) a pharmacist champion and >2 pharmacists working on NINJA (Scon 1.0, Scov 0.8) or (2) a nephrologist-implementing NINJA with minimal competing organizational priorities (Scon 1.0, Scov 0.2). Interviews identified ways NINJA team leaders obtained pharmacist support or successfully implemented without that support. In conclusion, these findings have implications for future spread of NINJA and suggest an approach to study spread of safety interventions more broadly.