0000000001308618
AUTHOR
Karine Astruc
showing 10 related works from this author
Additional file 1: Table S1. of Apolipoprotein B is regulated by gonadotropins and constitutes a predictive biomarker of IVF outcomes
2016
Patients' characteristics. All values are reported by the mean ± SD (Standard Deviation) or the number of subjects (percentage of the total). BMI, Body Mass Index; IVF, In Vitro Fertilization; ICSI, Intracytoplasmic Sperm Injection. (DOCX 12 kb)
Additional file 2: Table S2. of Apolipoprotein B is regulated by gonadotropins and constitutes a predictive biomarker of IVF outcomes
2016
Description of patients' characteristics according to APOB concentrations divided into quartiles. Q1, quartile 1; Q2, quartile 2; Q3, quartile 3; Q4, quartile 4; SD, Standard Deviation; CI, Confidence Intervals, BMI, Body Mass Index; IVF, In Vitro Fertilization; ICSI, Intracytoplasmic Sperm Injection. (DOCX 15Â kb)
Apolipoprotein B is regulated by gonadotropins and constitutes a predictive biomarker of IVF outcomes
2016
Background Follicular fluid (FF) is an important micro-environment influencing oocyte growth, its development competence, and embryo viability. The FF content analysis allows to identify new relevant biomarkers, which could be predictive of in vitro fertilization (IVF) outcomes. Inside ovarian follicle, the amount of FF components from granulosa cells (GC) secretion, could be regulated by gonadotropins, which play a major role in follicle development. Methods This prospective study included 61 female undergoing IVF or Intra-cytoplasmic sperm injection (ICSI) procedure. Apolipoprotein B (APOB) concentrations in follicular fluid and APOB gene and protein expression in granulosa cells from rep…
Detection of Temporal Clusters of Healthcare-Associated Infections or Colonizations with Pseudomonas aeruginosa in Two Hospitals: Comparison of SaTSc…
2014
International audience; The identification of temporal clusters of healthcare-associated colonizations or infections is a challenge in infection control. WHONET software is available to achieve these objectives using laboratory databases of hospitals but it has never been compared with SaTScan regarding its detection performance. This study provided the opportunity to evaluate the performance of WHONET software in comparison with SaTScan software as a reference to detect clusters of Pseudomonas aeruginosa. A retrospective study was conducted in two French university hospitals. Cases of P. aeruginosa colonizations or infections occurring between 1st January 2005 and 30th April 2014 in the fi…
Auswirkungen eines neuen Wassersystems auf nosokomiale Kolonisierung oder Infektion mit Pseudomonas aeruginosa
2016
Aim: We aimed to study the impact of new water systems, which were less contaminated with P. aeruginosa, on the incidence of healthcare-associated P. aeruginosa cases (colonizations or infections) in care units that moved to a different building between 2005 and 2014. Methods: Generalized Estimated Equations were used to compare the incidence of P. aeruginosa healthcare-associated cases according to the building. Results: Twenty-nine units moved during the study period and 2,759 cases occurred in these units. No difference was observed when the new building was compared with older buildings overall. Conclusion: Our results did not support our hypothesis of a positive association between wat…
Balance Sheet of Screening for Diabetic Retinopathy With a Mobile Non-Mydriatic Digital Camera in Burgundy, France
2009
Purpose: To assess the economic balance-sheet of screening for diabetic retinopathy (DR) with a mobile non-mydriatic digital camera in Burgundy, France, in a public health and economic perspective.Methods: The 72 lowest medicalised areas of Burgundy were visited. Retinal images were obtained with a non-mydriatic camera. To construct an economic model, we used available data on the prevalence of diabetes in Burgundy, the efficiency of the screening, the number of screened DR, blindness probability according to DR grading, the efficiency of laser therapy, the diabetic characteristics (gender, age, income, professional status and life expectancy) and medical costs induced by our campaign.Resul…
Additional file 3: Figure S1. of Apolipoprotein B is regulated by gonadotropins and constitutes a predictive biomarker of IVF outcomes
2016
17 β-estradiol quantification (ng/l) into culture medium by immuno-chemiluminescence. Androstenedione (And) was added to the culture medium to provide specific substrate to granulosa cells, for oestrogen synthesis. (TIF 69 kb)
Additional file 3: Figure S1. of Apolipoprotein B is regulated by gonadotropins and constitutes a predictive biomarker of IVF outcomes
2016
17 β-estradiol quantification (ng/l) into culture medium by immuno-chemiluminescence. Androstenedione (And) was added to the culture medium to provide specific substrate to granulosa cells, for oestrogen synthesis. (TIF 69 kb)
Additional file 4: Figure S2. of Apolipoprotein B is regulated by gonadotropins and constitutes a predictive biomarker of IVF outcomes
2016
The constant GAPDH gene expression in GC pools (n = 10) under our experiment conditions. All Ct-values were reported for the different GC pools from FF samples. (JPG 137 kb)
Additional file 4: Figure S2. of Apolipoprotein B is regulated by gonadotropins and constitutes a predictive biomarker of IVF outcomes
2016
The constant GAPDH gene expression in GC pools (n = 10) under our experiment conditions. All Ct-values were reported for the different GC pools from FF samples. (JPG 137 kb)