A reversible posterior leucoencephalopathy syndrome including blindness caused by preeclampsia.

Complications of (pre)eclampsia may involve multiple systems and organs. Neurological symptoms may occur. Visual symptoms concern up to 25% the of patients with severe preeclampsia and 50% of the patients with eclampsia. An uncommon effect of severe preeclampsia is sudden blindness. Blindness may be part of a clinical and radiological presentation named Posterior Reversible Encephalopathy Syndrome (PRES). PRES may lead to permanent neurological deficit, recurrences or death. We report the case of a 24-year-old Caucasian patient, gravida 5 para 2 who developed preeclampsia and PRES complicated with blindness at 32 weeks of gestation. Optimal care allowed visual symptoms to resolve within 24 hours and a favourable maternal outcome and no long- term sequelae. We describe different causes and manifestations of PRES and highlight the need for immediate care in order to optimize the chance of symptoms reversibility

Obesity, bariatric surgery and contraception

peer reviewedLe choix d’une médication hormonale est un acte thérapeutique important dans la vie d’une femme, aussi bien dans un but contraceptif afin d’éviter une grossesse non désirée, que dans le cadre d’une prise en charge symptomatologique accompagnant le cycle menstruel, ou entourant la ménopause. La prise en charge se doit donc d’être dynamique, individualisée au maximum, en tenant compte des antécédents personnels et familiaux, des potentiels facteurs de risque liés au traitement et, bien évidemment, des désirs de la patiente. Nous discuterons dans un premier temps de la contraception dans le cadre d'une obésité, et dans un second temps de l'éventuelle adaptation après chirurgie bariatrique

Machine learning methods to identify ICMEs automatically

International audienceMagnetic instabilities in the solar corona lead to the expulsion of large quantities of plasma and magnetic field in the interplanetary medium known as Interplanetary Coronal Mass Ejections (ICMEs). Among them, magnetic clouds (MCs) are characterized by a low proton temperature and plasma parameter β, an enhanced magnetic field intensity with a smooth rotation of its vector components (i.e the presence of a flux rope), and a low level of fluc- tuations. As the solar wind is usually supersonic and super alfvenic, MCs can eventually follow a turbulent sheath characterized by a large magnetic field intensity, high β and temperature, an enhanced proton density, the possible presence of an upstream MHD shock and a high level of magnetic fluctuations. As shown by Shinde and Russell (2003), manual identification of ICME is often subject to biases, which leads to disagreement between the existing ICMEs lists.To overcome it, Lepping et al. (2005) proposed an automatic identification method based on thresholds on the different MCs characteristics. The method demonstrated a good recall but a large percentage of false positives in the detected MCs. From the in situ measurements provided by the spacecraft Wind over the period 1997-2015 along with their manual annotation, we provide an automatic identification method for any new measurements using different machine learning algorithms., The adaptability of these algorithms combined to the results they provide indicates a possibility to apply them to detection of other events measured in situ by spacecrafts