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Cécile Couchoud

Researcher at University of Lyon

Publications -  237
Citations -  5137

Cécile Couchoud is an academic researcher from University of Lyon. The author has contributed to research in topics: Dialysis & Medicine. The author has an hindex of 34, co-authored 174 publications receiving 3934 citations.

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Descriptions des hospitalisations au cours de l’année 2019 des patients dialysés en France

TL;DR: In this article , the authors showed the very low place of hospitalizations in psychiatry and rehabilitation facilities, and the median amounts for a stay vary from €7920 in rehabilitation to €719 in medicine, surgery, obstetrics without overnight stay.
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Is there sex disparity in vascular access at dialysis initiation in France? A mediation analysis using data from the Renal Epidemiology and Information Network registry

TL;DR: The effect of sex was mediated by predialysis care, particularly for deprived patients, and women were associated with a higher risk of starting dialysis with a catheter.
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État des lieux des patients dialysés en urgence en 2012 : quelle évolution depuis 2006 ?

TL;DR: Le demarrage de the dialyse en urgence reste associe a une surmortalite, mais la survie a 1 an s’est nettement amelioree en 6 ans, ce qui semble refleter une meilleure prise en charge, notamment en amont.
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Trajectoires des patients en suppléance

TL;DR: In this paper , a summary work on the contributions of the national French ESKD register was carried out, and the following key messages were retained: 1) The authors pointed out that there is no consensus médical on the indications of one treatment modality as compared to another, and therefore no recommendations allowing defining criteria for guiding patients, based on their characteristics, to a technique/treatment modality.
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Using repeated-prevalence data in multi-state modeling of renal replacement therapy

TL;DR: A new method to model the number of patients that switch between therapeutic modalities using repeated-prevalence data is presented and illustrated and most parameters were of the same order of magnitude and the predicted patient distributions among various renal replacement therapies were similar regardless of the type of data used.