Morbimortalité périnatale dans les grossesses gémellaires dans une maternité marocaine de niveau 3

Introduction: Les grossesses gémellaires sont associées à un risque de morbimortalité périnatale plus élevé que les grossesses simples. Le but de cette étude était d’évaluer la morbimortalité périnatale dans les grossesses gémellaires dans une maternité marocaine de niveau 3. Méthodes: Il s’agit d’une étude transversale comparative de la morbimortalité périnatale des nouveau-nés issus de grossesses gémellaires versus grossesses simples ayant accouché à la maternité Souissi de Rabat du 1 janvier au 28 février 2014. Résultats: Il y a eu 3297 naissances issues de 65 grossesses gémellaires et 3167 grossesses simples. Les grossesses gémellaires étaient associées à des taux plus élevés de prééclampsie et d’éclampsie (P = 0,046), de HELLP syndrome (P= 0,030), de rupture prématurée des membranes (P < 0,001), de présentation dystocique (P < 0,001), de prématurité (P < 0,001), d’hypotrophie chez les nouveau-nés à terme (P < 0,001), de détresse respiratoire néonatale (P < 0,001), de malformations congénitales (P = 0,015), d’hospitalisation en période néonatale (P = 0,001) et de mortalité périnatale (P = 0,001) par rapport aux grossesses simples. Les jumeaux monochoriaux présentaient des taux plus élevés d’hypotrophie en cas de grossesse menée à terme (P = 0,016) et de mortalité périnatale (P = 0,017) par rapport aux jumeaux bichoriaux. Conclusion: Les grossesses gémellaires étaient à risque plus élevé de morbimortalité périnatale par rapport aux grossesses simples en exposant notamment à la prématurité. Les grossesses gémellaires monochoriales étaient plus à risque en exposant notamment à l’hypotrophie chez les nouveau-nés à terme.Pan African Medical Journal 2016; 2

Fetal outcome in emergency versus elective cesarean sections at Souissi Maternity Hospital, Rabat, Morocco

Introduction: Perinatal mortality rates have come down in cesarean sections, but fetal morbidity is still high in comparison to vaginal delivery and the complications are more commonly seen in emergency than in elective cesarean sections. The objective of the study was to compare the fetal outcome and the indications in elective versus emergency cesarean section performed in a tertiary maternity hospital. Methods: This comparative cross-sectional prospective study of all the cases undergoing elective and emergency cesarean section for any indication at Souissi maternity hospital of Rabat, Morocco, was carried from January 1, to February 28, 2014. Data were analyzed with emphasis on fetal outcome and cesarean sections indications. Mothers who had definite antenatal complications that would adversely affect fetal outcome were excluded from the study. Results: There was 588 (17.83%) cesarean sections among 3297 births of which emergency cesarean section accounted for 446 (75.85%) and elective cesarean section for 142 cases (24.15%). Of the various factors analyzed in relation to the two types of cesarean sections, statistically significant associations were found between emergency cesarean section and younger mothers (P < 0.001), maternal illiteracy (P = 0.049), primiparity (P = 0.005), insufficient prenatal care (P < 0.001), referral from other institution for pregnancy complications or delivery (P < 0.001), cesarean section performed under general anesthesia (P < 0.001), lower birth weight (P < 0.016), neonatal morbidity and early mortality (P < 0.001), and admission in neonatal intensive care unit (P = 0.024). The commonest indication of emergency cesarean section was fetal distress (30.49%), while the most frequent indication in elective cesarean section was previous cesarean delivery (47.18%). Conclusion: The overall fetal complications rate was higher in emergency cesarean section than in elective cesarean section. Early recognition and referral of mothers who are likely to undergo cesarean section may reduce the incidence of emergency cesarean sections and thus decrease fetal complications.Pan African Medical Journal 2016; 2

Method and apparatus for estimating bladder condition

The present invention relates to the possibility for the upcoming excretion especially with regard to bladder to estimate the method and apparatus of bladder condition.Device performs the computer implemented method that bladder condition is estimated using bladder monitor, and bladder monitor collects bladder data (such as using ultrasound) and is used to the algorithm of bladder condition change by bladder data transfer to data processor.Such algorithm can be trained to and adjust the bladder of specific people.After based on esoteric bladder data establish bladder condition originally, in the case where bladder condition meets the specific criteria of the upcoming excretion event of instruction, data processor and then triggerable alarm signal.Such trigger signal can be used for alerting the imminent excretion of bed-wetting patient so that they can be waken up before any generation of wetting the bed

Methods and apparatuses for estimating bladder status

The present invention relates to apparatuses for estimating the status of a bladder, especially with respect to the likelihood of an imminent voiding of the bladder. More particularly the present invention relates to apparatuses for treating urinary incontinence, suitably by providing pre-void alerts that allow a patient to void in a dignified manner

Detection and discrimination of cracked digitized paintings based on image processing methodology

With the passage of time, paintings can be damaged, and common deteriorations found in ancient paintings include cracking. Cracks can be caused by many factors, such as ageing, drying, and mechanical factors. The detection and restoration of crack formation on the earliest digitized paint surface concede great significance and safety for cultural heritages. particular, this paper is based on image processing methodology to detect and discriminate cracks. First, images are enhanced in the preprocessing stage for further processing. Then two proposed algorithms are employed to detect and separate medium and thin crack images. The experiments show better results compared with previous work. This study also confirms that the proposed image processing algorithms are an efficient and robust tool for the detection and discrimination of cracks

Methods and Apparatuses for Estimating Bladder Status. US20230162853A1

The present invention relates to methods and apparatuses for estimating the status of a bladder, especially with respect to the likelihood of an imminent voiding of the bladder. The apparatuses carry out computer-implemented methods of estimating a bladder status employing a bladder monitor which collects bladder data (e.g. using ultrasound) and transmits the bladder data to a data processor for algorithmic conversion to a bladder status. Such algorithms may be trained and tuned to a particular person's bladder. Having established a bladder status based on otherwise esoteric bladder data, the data processor may then trigger an alert signal where the bladder status meets particular criteria indicating an imminent voiding event. Such a trigger signal may be used to alert a nocturnal enuresis patient to an impending void so that they can be awoken before any bedwetting occurs

Apparatuses for estimating bladder status (Vorrichtungen Zur Schätzung Des Blasenstatus) (Appareils Pour L’estimation D’état De Vessie). EP3834726B1.

The present invention relates to apparatuses for estimating the status of a bladder, especially with respect to the likelihood of an imminent voiding of the bladder. More particularly the present invention relates to apparatuses for treating urinary incontinence, suitably by providing pre-void alerts that allow a patient to void in a dignified manner

Inferring causal molecular networks: empirical assessment through a community-based effort

Inferring molecular networks is a central challenge in computational biology. However, it has remained unclear whether causal, rather than merely correlational, relationships can be effectively inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge that focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results constitute the most comprehensive assessment of causal network inference in a mammalian setting carried out to date and suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess the causal validity of inferred molecular networks

Inferring causal molecular networks: empirical assessment through a community-based effort

It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective, and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess inferred molecular networks in a causal sense