E. Thervet
University of Paris
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Featured researches published by E. Thervet.
Kidney International Reports | 2018
Marie Metzger; Wen Lun Yuan; Jean-Philippe Haymann; Martin Flamant; Pascal Houillier; E. Thervet; Jean-Jacques Boffa; F. Vrtovsnik; Marc Froissart; Lise Bankir; Denis Fouque; Bénédicte Stengel
Introduction Reducing protein intake is recommended for slowing chronic kidney disease (CKD) progression, but assessment of its true effectiveness is sparse. Methods Using the Maroni formula, we assessed dietary protein intake (DPI) from 24-hour urinary urea excretion in 1594 patients (67% men and 33% women) with CKD, 784 of whom also had 7-day food records. Cause-specific hazard ratios (HRs) and 95% confidence intervals for the competing risks of DPI-associated end-stage renal disease (ESRD) or death were estimated in 1412 patients with baseline glomerular filtration rate ≥15 ml/min per 1.73 m2, measured by 51Cr-EDTA renal clearance (mGFR). Results Overall, mean DPI estimated from urea excretion was 1.09 ± 0.30 g/kg of body weight per day (range = 0.34−2.76); 20% of patients had values > 1.3 g/kg per day, and 1.9% had values < 0.6 g/kg per day. Urea excretion and food records produced similar estimates of mean DPI. The lower the mGFR, the lower the mean DPI. Over a median follow-up of 5.6 years, there were 319 ESRD events and 189 pre-ESRD deaths. After adjusting for relevant covariates, each 0.1 g/kg daily higher baseline urea excretion−based DPI or food record−based DPI was associated with an HR for ESRD of 1.05 (95% confidence interval 1.01−1.10) or 1.09 (95% confidence interval 1.04−1.14), respectively. HRs were stronger in patients with baseline mGFR < 30 ml/min per 1.73 m2. There was no association with mortality. The mean age of the patients was 59 ± 15 years, and mean body mass index was 26.6 ± 5.2 kg/m2. Conclusion In this prospective observational study, the lower the baseline DPI, the slower the progression toward ESRD. Most importantly, the absence of threshold for the relation between DPI and ESRD risk indicates that there is no optimal DPI in the range observed in this cohort.
M S-medecine Sciences | 2006
Nicolas Pallet; Philippe Beaune; E. Thervet; Christophe Legendre; Dany Anglicheau
Nephrologie & Therapeutique | 2006
Nicolas Pallet; E. Thervet; Christophe Legendre; Dany Anglicheau
Nephrologie & Therapeutique | 2018
A.-L. Faucon; Martin Flamant; Marie Metzger; Jean-Jacques Boffa; Pascal Houillier; E. Thervet; F. Vrtovsnik; Bénédicte Stengel; Emmanuelle Vidal-Petiot; Guillaume Geri
Nephrologie & Therapeutique | 2016
Emmanuelle Vidal-Petiot; Marie Metzger; Jean-Jacques Boffa; Jean-Philippe Haymann; E. Thervet; Pascal Houillier; Bénédicte Stengel; F. Vrtovsnik; Martin Flamant
Nephrologie & Therapeutique | 2013
C. Trivin; Marie Metzger; Jean-Jacques Boffa; F. Vrtovsnik; P. Houiller; Jean-Philippe Haymann; Martin Flamant; Bénédicte Stengel; E. Thervet
Nephrologie & Therapeutique | 2013
Alexandre Karras; Nicolas Pallet; C. Schmitt; J.C. Deybach; N. Talbi; E. Thervet; Hervé Puy
Nephrologie & Therapeutique | 2013
Iadh Mami; N. Bouvier; S. Pezet; Alexandre Karras; Vannary Meas-Yedid; Philippe Beaune; E. Thervet; Nicolas Pallet
Nephrologie & Therapeutique | 2013
Iadh Mami; Alexandre Karras; Hervé Puy; Philippe Beaune; E. Thervet; Nicolas Pallet
Nephrologie & Therapeutique | 2012
C. Trivin; A. Karras; Bruno Moulin; E. Thervet