Comparison of creatinine-based equations for estimating glomerular filtration rate in deceased donor renal transplant recipients.

BACKGROUND: Estimating glomerular filtration rate (GFR) is important for clinical management in kidney transplantation recipients (KTR). However, very few studies have evaluated the performance of the new GFR estimating equations (Lund-Malmö Revised-LMR, and Full Age Spectrum-FAS) in KTR. METHODS: GFR was estimated (eGFR) using CKD-EPI, MDRD, LMR, and FAS equations and compared to GFR measurement (mGFR) by reference methods (inuline urinary and iohexol plasma clearance) in 395 deceased-donor KTR without corticosteroids. The equations performance was assessed using bias (mean difference of eGFR and mGFR), precision (standard deviation of the difference), accuracy (concordance correlation coefficient-CCC), and agreements (total deviation index-TDI). The area under receiver operating characteristic curves (ROC) and the likelihood ratio for a positive result were calculated. RESULTS: In the total population, the performance of the CKD-EPI, MDRD and FAS equations was significantly lower than the LMR equation regarding the mean [95%CI] difference in bias (-2.0 [-4.0; -1.5] versus 9.0 [7.5; 10.0], 5.0 [3.5; 6.0] and 10.0 [8.5; 11.0] mL/min/1.73m2, P<0.005) and TDI (17.10 [16.41; 17.88], 25.91 [24.66; 27.16], 21.23 [19.48; 23.13] and 25.84 [24.16; 27.57], respectively). Concerning the CCC, all equation had poor agreement (<0.800) without statically difference between them. However, all equations had excellent area under the ROC curve (>0.900), and LMR equation had the best ability to correctly predict KTR with mGFR<45 mL/min/1.73 m2 (positive likelihood ratio: 8.87 [5.79; 13.52]). CONCLUSION: Among a referral group of subjects KTR, LMR equation had the best mean bias and TDI, but with no significant superiority in other agreement tools. Caveat is required in the use and interpretation of PCr-based equations in this specific population.

Performances of creatinine-based glomerular filtration rate estimating equations in simultaneous pancreas-kidney transplant recipients: a single center cohort study.

Estimating glomerular filtration rate (GFR) is important for clinical management and research studies in simultaneous pancreas-kidney transplantation (SPK) recipients. No study has specifically investigated the reliability of recent creatinine-based GFR estimating equations in this singular population. We assessed the performances of CKD-EPI, MDRD, Schwartz-2009, Schwartz-Lyon, Lund-Malmo and Full Age Spectrum equations for estimating GFR after SPK. 126 patients were included. GFR was measured by a reference method (mGFR) one year after SPK and estimated with the different equations from a standardized measure of serum creatinine. Relative bias, precisions, 10% and 30% accuracies (P30) were used to determine equations reliability. Ages ranged from 29 to 58. Mean mGFR was 56.3 ± 13.3 [23.6-92.5] ml/min/1.73 m2 . In the whole population, P30 of the CKD-EPI and MDRD equations were 42% (38.0; 46.0) and 65% (61.5; 69) respectively. As compared to the other equations, the Schwartz-Lyon equation was significantly more accurate (P30 = 86.0% [83.5-88.0], P < 0.01) and less biased (1.13 [1.06-1.19], P < 0.01). Conclusions were similar whatever the age class (<40 or ≥40) and mGFR level (<60 or ≥60 ml/min/1.73 m2 ). This study suggests that the CKD-EPI and MDRD equations have poor performances in SPK recipients and that the Schwartz-Lyon equation is a reliable alternative.

Mr-Proadm Elevation Upon Icu Admission Predicts the Outcome of Septic Patients and is Correlated with Upcoming Fluid Overload.

BACKGROUND: Among septic patients admitted to the intensive care unit (ICU), early recognition of those with the highest risk of death is of paramount importance. We evaluated the prognostic value of Procalcitonin (PCT), mid regional-proadrenomedullin (MR-proADM), copeptine and CT-proendothelin 1 (CT-ProET 1) concentrations. METHODS: This was a prospective cohort study, which included 173 septic patient admitted to one ICU. Blood samples for biomarker measurements were obtained upon admission and on day 5. The predictive value of each biomarker regarding the risk of death at day 28 was assessed. The fluid balance was evaluated from admission to day 5. RESULTS: All cause ICU mortality was 36.4%. All the biomarkers except CT-ProET-1 were significantly more elevated in the non-survivors than in the survivors upon day 1. This was especially true for MR-proADM (8.6 [5.9] vs. 4.4 [3.9] nmol/L; P < 0.0001) and for the CT-proET-1/MR-proADM ratio (52.9 [22.4] vs. 31.3 [26.6] arbitrary units; P < 0.0001). The best AUROCC values on day 1 were obtained with MR-ProADM and the CT-proET-1/MR-proADM ratio as well (0.75 [0.67-0.85] and 0.82 [0.75-0.89]; 95% CI, respectively). An improved accuracy was achieved on day 5. Moreover, MR-ProADM baseline levels and fluid balance over the 5-day period following ICU admission were strongly correlated (Rho = 0.41; P < 0.001). CONCLUSIONS: In patients admitted to the ICU with sepsis, MR-ProADM on admission was the best predictor of short-term clinical outcome if compared with others. This could be related to its ability to predict fluid sequestration.