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Hand1-Luc Embryonic Stem Cell Test (Hand1-Luc EST) is a promising alternative method for evaluation of developmental toxicity. However, the problems of predictivity have remained due to appropriateness of the solubility, metabolic system, and prediction model. Therefore, we assessed the usefulness of rat liver S9 metabolic stability test using LC-MS/MS to develop new prediction model. A total of 71 chemicals were analyzed by measuring cytotoxicity and differentiation toxicity, and highly reproducible (CV=20%) results were obtained. The first prediction model was developed by discriminant analysis performed on a full dataset using Hand1-Luc EST, and 66.2% of the chemicals were correctly classified by the cross-validated classification. A second model was developed with additional descriptors obtained from the metabolic stability test to calculate hepatic availability, and an accuracy of 83.3% was obtained with applicability domain of 50.7% (=36/71) after exclusion of 22 metabolically inapplicable candidates, which potentially have a metabolic activation property. A step-wise prediction scheme with combination of Hand1-Luc EST and metabolic stability test was therefore proposed. The current results provide a promising in vitro test method for accurately predicting in vivo developmental toxicity., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)

Background: One method of evaluating a perinatal policy measuring user satisfaction is an important issue. The objective of the study was to measure satisfaction with the monitoring of pregnancy, childbirth and maternity stay., Methods: Each volunteer maternity received a list of all births during one week in March-April 2008. The first mailing of questionnaires was conducted by post with stamped envelopes for the reply, after 2months in May and June 2008. A second reminder was made in July 2008. Responses to questions were coded using a Likert scale with four degrees with "very satisfied", "satisfied," "not very satisfied" and "not satisfied" with a quote by 4 to 1. The results are presented with the proportions of satisfied women, with radar diagrams. Transformation of responses with scores of 20 was established., Results: In total, 424 responses were obtained in 22 maternities (/24), on 524 questionnaires sent (response rate 80.9 %). A comparison of mothers who responded to those who did not respond showed an over-representation of senior and middle managers and department. The average response time from birth was ten weeks±1 (8-26). The early prenatal care (known as the 4th month) was ignored (the word) by 58 % of women, but satisfying for those who have had while preparing for the birth, information on ultrasounds, tests on blood testing were satisfactory. A total of 13.2 % of women were hospitalized, and 94.9 % of cases, the information was obtained with 96.5 % satisfaction for the explanations. Mothers were met for the monitoring of pregnancy to 95.4 %. At delivery, the reception was well received with 94.7 % of satisfaction, like attention paid to patients with 93.5 % satisfied. The satisfaction score for delivery in general (with or without cesarean) was 16.5±4.0 (out of 20) with 92.5 % satisfied. The score for the cesarean section was 16.3 versus 16.6 for the low channels (not significant [NS]) in the case of anesthesia of 16.5 versus 16.7 (NS) in case of episiotomy of 15.9 versus 16.9 (P<0.05). The length of postpartum stay was found too short in case of 4.8 % (4.7 days), correct in 78.6 % (4.8 days), too long in 15.9 % (4.8 days). The satisfaction score for delivery in general (with or without cesarean) was 16.5 out of 20 with 92.5 % of satisfied. Also, 73.1 % of mothers tended to agree about the useful information for baby; 77.8 % thought that breastfeeding went well. The total score for pregnancy and childbirth is averaging 16.1, with 95.7 % of satisfied. The dissatisfying factors for 17 women have been linked in univariate to a department, the choice of maternity proximity and the existence of an episiotomy. Multivariate analysis was not significant criteria of discontent., Conclusion: Users respond to this type of investigation and seem satisfied with the care provided, in accordance with published data. The analysis of satisfaction and sources of dissatisfaction can improve treatments. The limits of the notion of satisfaction are analyzed., (Copyright © 2013. Published by Elsevier Masson SAS.)