Automatic alignment of surgical videos using kinematic data

Over the past one hundred years, the classic teaching methodology of "see one, do one, teach one" has governed the surgical education systems worldwide. With the advent of Operation Room 2.0, recording video, kinematic and many other types of data during the surgery became an easy task, thus allowing artificial intelligence systems to be deployed and used in surgical and medical practice. Recently, surgical videos has been shown to provide a structure for peer coaching enabling novice trainees to learn from experienced surgeons by replaying those videos. However, the high inter-operator variability in surgical gesture duration and execution renders learning from comparing novice to expert surgical videos a very difficult task. In this paper, we propose a novel technique to align multiple videos based on the alignment of their corresponding kinematic multivariate time series data. By leveraging the Dynamic Time Warping measure, our algorithm synchronizes a set of videos in order to show the same gesture being performed at different speed. We believe that the proposed approach is a valuable addition to the existing learning tools for surgery.Comment: Accepted at AIME 201

The effect of opium addiction on arrhythmia following acute myocardial infarction

The effect of opium addiction on the appearance of different types of arrhythmias after acute myocardial infarction (AMI) has been assessed in few studies. This study is aimed to determine the effect of opium on post-MI arrhythmia and also to address the differences in the appearance of different types of arrhythmias after AMI between opium addicted and non-addicted patients. In this comparative study, participants were classified into two groups with opium addiction (n=94) and without opium addiction (n=106). Post-MI arrhythmias were determined among each group. Study populations were included all patients with first AMI admitted within 6 hours of the onset of chest pain to coronary care units (CCU) of two teaching hospitals affiliated to Kerman University of Medical Sciences (KUMS) in the city of Kerman, Iran. Opium addicted subjects had significantly more frequency of arrhythmia than non-opium addicted subjects (80.9 vs. 22.6, respectively; P<0.001). Opium addiction was a strong predictor for the occurrence of post-MI arrhythmias in two models of crude analysis (crude OR=14.4, P<0.001) and after adjusting for potential confounder factors (adjusted OR = 21.9, P<0.001). The prevalence of sinus tachycardia, sinus bradycardia and atrial fibrillation in opium addicts were significantly higher than non opium addicts (P<0.05). The results of our study showed that opium addiction is a potential and strong risk for occurring post-MI arrhythmias. © 2012 Tehran University of Medical Sciences. All rights reserved

Patterns of social determinants of health associated with drug use among women living with HIV in Canada: a latent class analysis

Background and AimsIdentifying typologies of social determinants of health (SDoH) vulnerability influencing drug use practices among women living with HIV (WLWH) can help to address associated harms. This research aimed to explore the association of SDoH clusters with drug use among WLWH.DesignLatent class analysis (LCA) was used to identify the distinct clusters of SDoH. Inverse probability weighting (IPW) was employed to account for confounding and potential selection bias. Associations were analyzed using generalized linear model with log link and Poisson distribution, and then weighted risk ratio (RR) and 95% confidence intervals (CI) were reported.Setting and ParticipantsData from 1422 WLWH recruited at timeâ point 1 of the Canadian HIV Women’s Sexual and Reproductive Health Cohort Study (CHIWOS, 2013â 15), with 1252 participants at 18 months followâ up (timeâ point 2).MeasurementsDrug use was defined as use of illicit/nonâ prescribed opioids/stimulants in the past 6 months. SDoH indicators included: race discrimination, gender discrimination, HIV stigma, social support, access to care, food security, income level, employment status, education, housing status and histories of recent sex work and incarceration.FindingsLCA identified four SDoH classes: no/least SDoH adversities (6.6%), discrimination/stigma (17.7%), economic hardship (30.8%) and most SDoH adversities (45.0%). Drug use was reported by 17.5% and 17.2% at timeâ points 1 and 2, respectively. WLWH with no/least SDoH adversities were less likely to report drug use than those in economic hardship class (weighted RR = 0.13; 95% CIs = 0.03, 0.63), discrimination/stigma class (weighted RR = 0.15; 95% CIs = 0.03, 0.78), and most SDoH adversities class (weighted RR = 0.13; 95% CIs = 0.03, 0.58).ConclusionsSocial determinants of health vulnerabilities are associated with greater likelihood of drug use, underscoring the significance of addressing interlinked social determinants and drug use through the course of HIV care and treatment.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149504/1/add14566_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149504/2/add14566.pd

The effect of galega officinalis on hormonal and metabolic profile in a rat model of polycystic ovary syndrome

Objectives: Polycystic ovary syndrome (PCOS) has been considered as one of the most common endocrine diseases among the females in their regenerative age with a prevalence range of 5 to 21. However, the purpose of the present study was to investigate the protective effect of Galega officinalis on metabolic as well as hormonal parameters in a rodent model of PCOS. Materials and Methods: Thirty-two Wistar female rats were used (n=8/group) in the study consisting of healthy control and experimental groups. The experimental groups were divided into 3 subgroups, including rats with PCOS which received no treatment (G1), PCOS group in which G. officinalis extract was administered daily at a dose of 200 mg/kg/orally (G2) for 2 weeks, and PCOS group in which G. officinalis extract was administered daily at a dose of 400 mg/kg/orally (G3) for 2 weeks. In all experimental groups, a single intramuscular injection of estradiol valerate led to inducing PCOS. After the end of treatment period, rats in all of the studied groups were anesthetized with ketamine/xylazine (5/1 mg/kg), then the blood samples obtained and their serum samples were applied for testing the fasting blood sugar (FBS), insulin, aromatase, and follicle-stimulating hormone (FSH), luteinizing hormone (LH), testosterone, and estrogen. The ovaries of rats were removed and fixed for histopathological examinations. Results: The serum levels of FBS, insulin, LH, FSH, and testosterone significantly increased in G1 in comparison to healthy rats (P < 0.05), while they were all significantly decreased in the treated groups received G. officinalis extract compared to rats affected by PCOS (P < 0.05). Moreover, the serum level of estrogen and the serum activity of aromatase were both significantly decreased in G1 in comparison to healthy rats (P < 0.05), while in treated groups, they were significantly increased compared to G1 which received no treatment (P < 0.05). Moreover, the number of follicles in ovaries affected by PCOS decreased, while both concentrations of G. officinalis extract could prevent this phenomenon. Conclusions: It seems that the extract of G. officinalis has a beneficial effect on the levels of the LH, FSH, testosterone, estradiol, aromatase, FBS, and insulin in alleviating the complications of PCOS. © 2018 The Author (s)

Hesperidin improves the follicular development in 3D culture of isolated preantral ovarian follicles of mice

In vitro follicular culture systems provide optimal culture models for research about the physiology of the ovary and support the clinical practices to achieve competent mature oocytes for in vitro fertilization. In vitro maturation of preantral follicles makes it possible to study the effects of therapeutic agents on various conditions or disorders of the ovary. Nowadays, preventive bioflavonoids against cancer, hypercholesterolemia, fatty liver, or a variety of toxic agents are in focus. The aim of this study was to design and investigate the impacts of different concentrations of hesperidin, a glycoside flavonoid, on the in vitro preantral follicle growth and maturation in the three-dimensional (3D) culture system which was made with sodium alginate. Preantral follicles (n = 1363) were mechanically isolated from immature mice ovaries, then, after capsulating, they were randomly divided into four groups: the control group received no concentration of hesperidin, and three experimental groups were supplemented with 10, 22.5, and 50 µmol/L of hesperidin. All groups were cultured for 12 days. At the end of the culture period, the percentage of survival rate, antrum formation, obtained metaphase II oocytes, and the secretion of 17β-estradiol and progesterone were significantly higher in the group Hesp 50 (50 µmol/L hesperidin). Moreover, the mean average of follicular diameter cultured in the group Hesp 50 was also increased and the mRNA expression levels of PCNA, FSH-R, and Bcl-2 genes were higher, while Bax mRNA expression was significantly reduced compared with the other groups. Follicles cultured in the presence of 50 µmol/L of hesperidin had a higher fertilization rate and embryo development. Adding hesperidin at the concentration of 50 µmol/L to the culture medium resulted in higher follicular growth and maturation and increased the rate of in vitro fertilization and embryo development. Impact statement: It has been stated that hesperidin has many pharmacological effects, such as anti-inflammatory and antioxidant effects, antimicrobial activity, and anti-carcinogenic activity; but hesperidin and its derivatives have been under investigation as anti-fertility factors for a very long time. However, our results show that hesperidin can improve mice follicular growth and maturation during in vitro 3D culture. Hesperidin as an antioxidant factor could enhance the mRNA expression levels of two important genes involved in folliculogenesis, PCNA, and FSH-R. Our results prove for the first time that hesperidin not only has deleterious effects on follicular development but can also increase rates of in vitro fertilization and embryo development. © 2019 by the Society for Experimental Biology and Medicine

Bacterial contamination of inanimate surfaces and equipment in the intensive care unit

Intensive care unit (ICU)-acquired infections are a challenging health problem worldwide, especially when caused by multidrug-resistant (MDR) pathogens. In ICUs, inanimate surfaces and equipment (e.g., bedrails, stethoscopes, medical charts, ultrasound machine) may be contaminated by bacteria, including MDR isolates. Cross-transmission of microorganisms from inanimate surfaces may have a significant role for ICU-acquired colonization and infections. Contamination may result from healthcare workers' hands or by direct patient shedding of bacteria which are able to survive up to several months on dry surfaces. A higher environmental contamination has been reported around infected patients than around patients who are only colonized and, in this last group, a correlation has been observed between frequency of environmental contamination and culture-positive body sites. Healthcare workers not only contaminate their hands after direct patient contact but also after touching inanimate surfaces and equipment in the patient zone (the patient and his/her immediate surroundings). Inadequate hand hygiene before and after entering a patient zone may result in cross-transmission of pathogens and patient colonization or infection. A number of equipment items and commonly used objects in ICU carry bacteria which, in most cases, show the same antibiotic susceptibility profiles of those isolated from patients. The aim of this review is to provide an updated evidence about contamination of inanimate surfaces and equipment in ICU in light of the concept of patient zone and the possible implications for bacterial pathogen cross-transmission to critically ill patients

Informational entropy : a failure tolerance and reliability surrogate for water distribution networks

Evolutionary algorithms are used widely in optimization studies on water distribution networks. The optimization algorithms use simulation models that analyse the networks under various operating conditions. The solution process typically involves cost minimization along with reliability constraints that ensure reasonably satisfactory performance under abnormal operating conditions also. Flow entropy has been employed previously as a surrogate reliability measure. While a body of work exists for a single operating condition under steady state conditions, the effectiveness of flow entropy for systems with multiple operating conditions has received very little attention. This paper describes a multi-objective genetic algorithm that maximizes the flow entropy under multiple operating conditions for any given network. The new methodology proposed is consistent with the maximum entropy formalism that requires active consideration of all the relevant information. Furthermore, an alternative but equivalent flow entropy model that emphasizes the relative uniformity of the nodal demands is described. The flow entropy of water distribution networks under multiple operating conditions is discussed with reference to the joint entropy of multiple probability spaces, which provides the theoretical foundation for the optimization methodology proposed. Besides the rationale, results are included that show that the most robust or failure-tolerant solutions are achieved by maximizing the sum of the entropies