Increased creatinine clearance in polytrauma patients with normal serum creatinine: a retrospective observational study

International audienceINTRODUCTION: The aim of this study, performed in an intensive care unit (ICU) population with a normal serum creatinine, was to estimate urinary creatinine clearance (CLCR) in a population of polytrauma patients (PT) through a comparison with a population of non trauma patients (NPT). METHODS: This was a retrospective, observational study in a medical and surgical ICU in a university hospital. A total of 284 patients were consecutively included. Two different groups were studied: PT (n = 144) and NPT (n = 140). Within the second week after admission to the ICU, renal function was assessed using serum creatinine, 24 h urinary CLCR . RESULTS: Among the 106 patients with a CLCR above 120 mL minute(-1) 1.73 m(-2), 79 were PT and 27 NPT (P < 0.0001). Only 63 patients had a CLCR below 60 mL minute(-1) 1.73 m(-2) with 15 PT and 48 NPT (P < 0.0001). Patients with CLCR greater than 120 mL minute(-1). 1.73 m(-2) were younger, had a lower SAPS II score and a higher male ratio as compared to those having CLCR lower than 120 mL minute(-1). 1.73 m(-2). Through a logistic regression analysis, age and trauma were the only factors independently correlated to CLCR. CONCLUSIONS: In ICU patients with normal serum creatinine, CLCR, is higher in PT than in NPT. The measure of CLCR should be proposed as routine for PT patients in order to adjust dose regimen, especially for drugs with renal elimination

Tibial post fracture pain is reduced in kinin receptors deficient mice and blunted by kinin receptor antagonists

International audienceTibial fracture is associated with inflammatory reaction leading to severe pain syndrome. Bradykinin receptor activation is involved in inflammatory reactions, but has never been investigated in fracture pain

Pharmacological blockade of B2-kinin receptor reduces renal protective effect of angiotensin-converting enzyme inhibition in db/db mice model.

International audienceDiabetic nephropathy (DN) can be delayed by the use of angiotensin-converting enzyme inhibitors (ACEi). The mechanisms of ACEi renal protection are not univocal. To investigate the impact of bradykinin B(2) receptor (B2R) activation during ACE inhibition, type II diabetic mice (C57BLKS db/db) received for 20 wk: 1) ACEi (ramipril) alone, 2) ACEi + HOE-140 (a specific B2R antagonist), 3) HOE-140 alone, or 4) no treatment. The development of DN, defined by an increase in albuminuria and glomerulosclerosis, was largely prevented by ACEi treatment (albuminuria: 980 +/- 130 vs. 2,160 +/- 330 mg/g creatinine; mesangial area: 22.5 +/- 0.5 vs. 27.6 +/- 0.3%). The protective effect of ramipril was markedly attenuated by B2R blockade (albuminuria: 2,790 +/- 680 mg/g creatinine; mesangial area: 30.4 +/- 1.1%), whereas HOE-140 alone significantly increased albuminuria. Despite such benefits, glomerular filtration rate remained unchanged, probably because of the combination of the hypotensive effect of diabetes in this model and the renal hemodynamic action of ramipril. Finally, the renal protective effect of ACEi was associated with a marked decrease in glomerular overexpression of insulin-like growth factor-1 (IGF-1) and transforming growth factor-beta pathways, but also in advanced glycation end product receptors and lipid peroxidation assessed by 4-hydroxy-2-nonenal (4-HNE) adducts. Concomitant blockade of B2R partly restored glomerular overexpression of IGF-1 receptor beta and 4-HNE complexes. These results support the critical role of B2R activation in the mediation of ACEi renal protection against DN and provide the rationale to examine the benefit of B2R activation by itself as a new therapeutic approach for DN

Machine Learning-Based Urine Peptidome Analysis to Predict and Understand Mechanisms of Progression to Kidney Failure

International audienceIntroduction: The identification of patients with chronic kidney disease (CKD) at risk of progressing to kidney failure (KF) is important for clinical decision-making. In this study we assesed whether urinary peptidome (UP) analysis may help classify patients with CKD and improve KF risk prediction. Methods: The UP was analyzed using capillary electrophoresis coupled to mass spectrometry in a case-cohort sample of 1000 patients with CKD stage G3 to G5 from the French CKD-Renal Epidemiology and Information Network (REIN) cohort. We used unsupervised and supervised machine learning to classify patients into homogenous UP clusters and to predict 3-year KF risk with UP, respectively. The predictive performance of UP was compared with the KF risk equation (KFRE), and evaluated in an external cohort of 326 patients. Results: More than 1000 peptides classified patients into 3 clusters with different CKD severities and etiologies at baseline. Peptides with the highest discriminative power for clustering were fragments of proteins involved in inflammation and fibrosis, highlighting those derived from α-1-antitrypsin, a major acute phase protein with anti-inflammatory and antiapoptotic properties, as the most significant. We then identified a set of 90 urinary peptides that predicted KF with a c-index of 0.83 (95% confidence interval [CI]: 0.81−0.85) in the case-cohort and 0.89 (0.83−0.94) in the external cohort, which were close to that estimated with the KFRE (0.85 [0.83−0.87]). Combination of UP with KFRE variables did not further improve prediction. Conclusion: This study shows the potential of UP analysis to uncover new pathophysiological CKD progression pathways and to predict KF risk with a performance equal to that of the KFRE