Polypropylene Mesh Predicts Mesh/Suture Exposure After Sacrocolpopexy Independent of Known Risk Factors

Objective(s) The aim of this study was to determine if ultralightweight polypropylene mesh reduced the risk of mesh/suture exposure after sacrocolpopexy compared with heavier-weighted polypropylene. Methods Bivariate and multivariate analyses were used to interpret data from 133 cases and 261 control subjects to evaluate independent predictors of mesh/suture exposure after sacrocolpopexy from 2003 to 2013. Results Multivariate logistic regression revealed that prior surgery for incontinence (odds ratio [OR], 2.87; 95% confidence interval [CI], 1.19–6.96), porcine acellular cross-linked collagen matrix with medium-weight polypropylene mesh (OR, 4.95; 95% CI, 1.70–14.42), other polypropylene mesh (OR, 6.73; 95% CI, 1.12–40.63), nonabsorbable braided suture for vaginal mesh attachment (OR, 4.52; 95% CI, 1.53–15.37), and immediate perioperative complications (OR, 3.64; 95% CI, 1.53–13.37) were independent risk factors for mesh/suture exposure. After multivariate analysis, ultralightweight polypropylene mesh was no longer associated with decreased rates of mesh/suture exposure after controlling for known risk factors identified during bivariate analysis (P = 0.423). Conclusions Both mesh choice and suture selection remained independent predictors of mesh/suture exposure, with heavier meshes increasing and monofilament suture decreasing rates of mesh/suture exposure. Based on this study, surgeons may consider use of delayed-absorbable, monofilament suture over nonabsorbable braided suture for attachment of vaginal mesh to reduce the risk of mesh/suture exposure when using mesh

30 Years of Cystocele/Rectocele Repair in the United States

Objective: A growing body of evidence suggests an increased role for apical support in the treatment of pelvic organ prolapse regardless of phenotype. The objective of this study was to determine whether changes in cystocele/rectocele diagnosis and surgical management for the last 30 years reflect this changing paradigm. Methods: Data from the National Hospital Discharge Survey were mined from 1979 to 2009 for diagnosis and procedure codes. Records were categorized according to predefined combinations of diagnosis and procedure codes and weighted according to the National Hospital Discharge Survey data set. Pearson [chi]2 test was used to evaluate the changes in population proportions during the study interval. Results: The proportion of isolated cystocele/rectocele diagnoses decreased from 1979 to 2009 (56.5%, n = 88,548, to 34.8%, n = 31,577). The proportion of isolated apical defect diagnoses increased from 1979 to 2009 (38.4%, n = 60,223, to 60.8%, n = 55,153). There was a decrease in the frequency of isolated cystocele/rectocele repair procedures performed from 1979 to 2009 (96.3%, n = 150,980, to 67.7%, n = 61,444), whereas there was an increase in isolated apical defect repair procedures (2.5%, n = 3929, to 22.5%, n = 20,450). The proportion of cystocele/rectocele plus apical defect procedures also increased (1.2%, n = 1879, to 9.7%, n = 8806). Furthermore, 87.0% of all studied diagnostic groups were managed by cystocele/rectocele repair alone. Conclusions: Surgeons have responded to the increased contribution of apical support defects to cystocele/rectocele by modifying their diagnostic coding practices. Unfortunately, their surgical choices remain largely rooted in an older paradigm

Raising argument strength using negative evidence: A constraint on models of induction

Both intuitively, and according to similarity-based theories of induction, relevant evidence raises argument strength when it is positive and lowers it when it is negative. In three experiments, we tested the hypothesis that argument strength can actually increase when negative evidence is introduced. Two kinds of argument were compared through forced choice or sequential evaluation: single positive arguments (e.g., “Shostakovich’s music causes alpha waves in the brain; therefore, Bach’s music causes alpha waves in the brain”) and double mixed arguments (e.g., “Shostakovich’s music causes alpha waves in the brain, X’s music DOES NOT; therefore, Bach’s music causes alpha waves in the brain”). Negative evidence in the second premise lowered credence when it applied to an item X from the same subcategory (e.g., Haydn) and raised it when it applied to a different subcategory (e.g., AC/DC). The results constitute a new constraint on models of induction

Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT

Purpose: Multi-expert deep learning training methods to automatically quantify ischemic brain tissue on Non-Contrast CT Materials and Methods: The data set consisted of 260 Non-Contrast CTs from 233 patients of acute ischemic stroke patients recruited in the DEFUSE 3 trial. A benchmark U-Net was trained on the reference annotations of three experienced neuroradiologists to segment ischemic brain tissue using majority vote and random expert sampling training schemes. We used a one-sided Wilcoxon signed-rank test on a set of segmentation metrics to compare bootstrapped point estimates of the training schemes with the inter-expert agreement and ratio of variance for consistency analysis. We further compare volumes with the 24h-follow-up DWI (final infarct core) in the patient subgroup with full reperfusion and we test volumes for correlation to the clinical outcome (mRS after 30 and 90 days) with the Spearman method. Results: Random expert sampling leads to a model that shows better agreement with experts than experts agree among themselves and better agreement than the agreement between experts and a majority-vote model performance (Surface Dice at Tolerance 5mm improvement of 61% to 0.70 +- 0.03 and Dice improvement of 25% to 0.50 +- 0.04). The model-based predicted volume similarly estimated the final infarct volume and correlated better to the clinical outcome than CT perfusion. Conclusion: A model trained on random expert sampling can identify the presence and location of acute ischemic brain tissue on Non-Contrast CT similar to CT perfusion and with better consistency than experts. This may further secure the selection of patients eligible for endovascular treatment in less specialized hospitals

Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists

Purpose: To develop a deep learning model to segment the acute ischemic infarct on non-contrast Computed Tomography (NCCT). Materials and Methods In this retrospective study, 227 Head NCCT examinations from 200 patients enrolled in the multicenter DEFUSE 3 trial were included. Three experienced neuroradiologists (experts A, B and C) independently segmented the acute infarct on each study. The dataset was randomly split into 5 folds with training and validation cases. A 3D deep Convolutional Neural Network (CNN) architecture was optimized for the data set properties and task needs. The input to the model was the NCCT and the output was a segmentation mask. The model was trained and optimized on expert A. The outcome was assessed by a set of volume, overlap and distance metrics. The predicted segmentations of the best model and expert A were compared to experts B and C. Then we used a paired Wilcoxon signed-rank test in a one-sided test procedure for all metrics to test for non-inferiority in terms of bias and precision. Results: The best performing model reached a Surface Dice at Tolerance (SDT)5mm of 0.68 \pm 0.04. The predictions were non-inferior when compared to independent experts in terms of bias and precision (paired one-sided test procedure for differences in medians and bootstrapped standard deviations with non-inferior boundaries of -0.05, 2ml, and 2mm, p < 0.05, n=200). Conclusion: For the segmentation of acute ischemic stroke on NCCT, our 3D CNN trained with the annotations of one neuroradiologist is non-inferior when compared to two independent neuroradiologists

If you could see what we see, would it bother you?

Objective The purpose of our study was to determine whether the anatomic threshold for pelvic organ prolapse (POP) diagnosis and surgical success remains valid when the patient sees what we see on exam. Methods Two hundred participants were assigned, by computer-generated block randomization, to see one of four videos. Each video contained the same six clips representative of various degrees of anterior vaginal wall support. Participants were asked questions immediately after each clip. They were asked: “In your opinion, does this patient have a bulge or something falling out that she can see or feel in the vaginal area?” Similarly, they were asked to give their opinion on surgical outcome on a 4-point Likert scale. Results The proportion of participants who identified the presence of a vaginal bulge increased substantially at the level of early stage 2 prolapse (1 cm above the hymen), with 67 % answering yes to the question regarding bulge. The proportion of participants who felt that surgical outcome was less desirable also increased substantially at early stage 2 prolapse (1 cm above the hymen), with 52 % describing that outcome as “not at all” or “somewhat” successful. Conclusion Early stage 2 POP (1 cm above the hymen) is the anatomic threshold at which women identify both a vaginal bulge and a less desirable surgical outcome when they see what we see on examination

Stream-subhalo interactions in the Aquarius simulations

Aims. We perform the first self-consistent measurement of the rate of interactions between stellar tidal streams created by disrupting satellites and dark subhalos in a cosmological simulation of a Milky-Way-mass galaxy. Methods. Using a retagged version of the Aquarius A dark-matter-only simulation, we selected 18 streams of tagged star particles that appear thin at the present day and followed them from the point their progenitors accrete onto the main halo, recording in each snapshot the characteristics of all dark-matter subhalos passing within several distance thresholds of any tagged star particle in each stream. We considered distance thresholds corresponding to constant impact parameters (1, 2, and 5 kpc), as well as those proportional to the region of influence of each subhalo (one and two times its half-mass radius r1=2). We then measured the age and present-day, phase-unwrapped length of each stream in order to compute the interaction rate in different mass bins and for different thresholds, and compared these to analytic predictions from the literature. Results. We measure a median rate of 1.5^(+3.0)_(-1.1) (9.1^(+17.5)_(-7.1), 61.8^(+211)_(-40.6)) interactions within 1 (2, 5) kpc of the stream per 10 kpc of stream length per 10 Gyr. Resolution effects (both time and particle number) affect these estimated rates by lowering them

In vivo imaging and quantitative analysis of leukocyte directional migration and polarization in inflamed tissue

Directional migration of transmigrated leukocytes to the site of injury is a central event in the inflammatory response. Here, we present an in vivo chemotaxis assay enabling the visualization and quantitative analysis of subtype-specific directional motility and polarization of leukocytes in their natural 3D microenvironment. Our technique comprises the combination of i) semi-automated in situ microinjection of chemoattractants or bacteria as local chemotactic stimulus, ii) in vivo near-infrared reflected-light oblique transillumination (RLOT) microscopy for the visualization of leukocyte motility and morphology, and iii) in vivo fluorescence microscopy for the visualization of different leukocyte subpopulations or fluorescence-labeled bacteria. Leukocyte motility parameters are quantified off-line in digitized video sequences using computer-assisted single cell tracking. Here, we show that perivenular microinjection of chemoattractants [macrophage inflammatory protein-1alpha (MIP-1alpha/Ccl3), platelet-activating factor (PAF)] or E. coli into the murine cremaster muscle induces target-oriented intravascular adhesion and transmigration as well as polarization and directional interstitial migration of leukocytes towards the locally administered stimuli. Moreover, we describe a crucial role of Rho kinase for the regulation of directional motility and polarization of transmigrated leukocytes in vivo. Finally, combining in vivo RLOT and fluorescence microscopy in Cx3CR1(gfp/gfp) mice (mice exhibiting green fluorescent protein-labeled monocytes), we are able to demonstrate differences in the migratory behavior of monocytes and neutrophils.Taken together, we propose a novel approach for investigating the mechanisms and spatiotemporal dynamics of subtype-specific motility and polarization of leukocytes during their directional interstitial migration in vivo

La responsabilidad social empresaria como emergente territorial, aproximaciones a partir del estudio de caso del Partido de General Pueyrredon

Este trabajo expone los resultados preliminares de un proyecto de investigación exploratorio que indaga en un conjunto de organizaciones del Partido de General Pueyrredon (PGP) que se caracterizan por su participación en iniciativas de Responsabilidad Social Empresaria (RSE). Se considera que el sector empresario en sus múltiples dimensiones -éticas, organizativas, productivas, y contables- conforma un objeto de estudio de relevancia debido a su capacidad de generar valor compartido para el conjunto de la comunidad. Nuestros hallazgos evidencian el emergente de una compleja Red de Colaboración entre organismos públicos, grupos de promoción, organizaciones sin fines de lucro y -fundamentalmente- empresas con fines de lucro que impulsan la agenda de RSE en el PGP. El análisis realizado da cuenta de los vínculos entre los componentes de dicha red, la sinergia entre sus organizaciones y agentes de influencia, la conformación de espacios de representación y decisión, y los principales dispositivos organizativos que han institucionalizado para dar viabilidad a sus iniciativas.Fil: Hammond, Fernando. Universidad Nacional de Mar del Plata. Facultad de Ciencias Económicas y Sociales; Argentina.Fil: Colaianni, Florencia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Económicas y Sociales; Argentina.Fil: Sánhez, J. M. Universidad Nacional de Mar del Plata. Facultad de Ciencias Económicas y Sociales; Argentina.Fil: Heit, M. Universidad Nacional de Mar del Plata. Facultad de Ciencias Económicas y Sociales; Argentina.Fil: Moya, E. Universidad Nacional de Mar del Plata. Facultad de Ciencias Económicas y Sociales; Argentina