10 research outputs found

    Fertility drugs and breast cancer risk

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    Purpose of investigation: Female infertility is a widespread problem in Western countries. During past years, an association between ovarian stimulation in unfertile women and breast cancer risk has been hypothesized. Objective: Purpose of the present investigation was to comment the most updated studies about an eventual relationship between fertility drugs and breast cancer risk. Materials and Methods: The authors performed a review of the current literature regarding the possible association between the use of fertility drugs and the enhanced risk of breast cancer. They searched digital databases including Pubmed, EMBASE, and the Cochrane Library. The literature search was performed using various combinations of keywords. They carefully analyzed only the full versions of all relevant studies. Results: Using various combination of keywords, the authors examined 930 papers. They considered only papers written in English. With these criteria they selected the studies that had been discussed in detail on the text. Conclusion: None of the works commented provides an indisputable evidence about a link between ovarian stimulation and breast cancer risk. On the contrary, most of them actually suggest a lack of interaction between them or even a protective role of ovarian stimulation

    CARE frailty e-health scale: Association with incident adverse health outcomes and comparison with the Cardiovascular Health Study frailty scale in the NuAge cohort.

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    This study examines and compares CARE and Cardiovascular Health Study (CHS) frailty states (i.e., robust, prefrail and frail) for their association with incident adverse health outcomes, including falls, depression, cognitive and functional decline, major neurocognitive disorders, hospitalization and mortality in community-dwelling older adults living in the province of Quebec (Canada). A subset of individuals (n = 1098) who participated in "Nutrition as a determinant of successful aging: The Quebec longitudinal study" (NuAge), which is an elderly population-based observational cohort study with 3 years of follow-up, were selected. CARE and CHS frailty states were determined using the NuAge baseline assessment. Incident falls (i.e., ≥1, ≥2 and severe falls), depression (i.e., 30-item Geriatric Depression Scale score > 10/30), decline in cognition (i.e., Modified Mini Mental State (3MS) score < 79/100) and functionality (i.e., Activity Daily Living (ADL) score ≤ 3/4 and an Instrumental Activity Daily Living (IADL) score ≤ 6/8), major neurocognitive disorders (i.e., 3MS score < 79/100 and IADL score < 6/8), hospitalization and mortality were annually recorded over a 3-year follow-up period. 66.8% and 23.6% of participants were classified as pre-frail and frail with CARE respectively, whereas this distribution of frailty states differed with CHS (47.9% and 8.4%). There were significant associations of CARE pre-frail and frail states with all incident adverse health outcomes, the lowest odds ratio (OR) being reported with falls and the highest with cognitive decline (OR ranging from 1.63 to 12.85 with P ≤ 0.032). All ORs of the CARE frailty states were greater than those of the CHS, except for frail participants with IADL decline (OR = 4.92 for CARE versus OR = 9.62 for CHS). CARE frail states were associated with incident adverse health outcomes and these associations were greater than with CHS, suggesting that the CARE scale is of clinical interest when screening for frailty and related adverse health outcomes in the elderly population

    Feasibility and efficiency of sutureless end enterostomy by means of a 3D-printed device in a porcine model

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    Objective. The aim of this study is to present a 3-dimensional (3D)-printed device to simply perform abdominal enterostomy and colostomy. Summary Background Data. Enterostomy and colostomy are frequently performed during abdominal surgery. 3D-printed devices may permit the creation of enterostomy easily. Methods. The device was designed by means of a CAD (computer-aided design) software, Rhinoceros 6 by MC Neel, and manufactured using 3D printers, Factory 2.0 by Omni 3D and Raise 3D N2 Dual Plus by Raise 3D. Colostomy was scheduled on a human cadaver and on 6 Pietrain pigs to test the device and the surgical technique. Results. The test on the cadaver showed that the application of the device was easy. Test on porcine models confirmed that the application of the device was also easy on the living model. The average duration of the surgical procedure was 32 minutes (25-40 minutes). For the female pigs, return to full oral diet and recovery of a normal bowel function was observed at postoperative day 2. The device fell by itself on average on the third day. Until day 10, when euthanasia was practiced, the stoma mucosa had a good coloration indicating a perfect viability of tissues. No complications were observed. Conclusions. This is the first study that describes the use of a 3D-printed device in abdominal surgery. End-type colostomy using a 3D-printed device can be safely and easily performed in an experimental porcine model, without postoperative complications. Further studies are needed to evaluate its utility in the clinical setting

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    Fast Track Algorithm: How To Differentiate A “Scleroderma Pattern” From A “Non-Scleroderma Pattern”

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    Objectives: This study was designed to propose a simple “Fast Track algorithm” for capillaroscopists of any level of experience to differentiate “scleroderma patterns” from “non-scleroderma patterns” on capillaroscopy and to assess its inter-rater reliability. Methods: Based on existing definitions to categorise capillaroscopic images as “scleroderma patterns” and taking into account the real life variability of capillaroscopic images described standardly according to the European League Against Rheumatism (EULAR) Study Group on Microcirculation in Rheumatic Diseases, a fast track decision tree, the “Fast Track algorithm” was created by the principal expert (VS) to facilitate swift categorisation of an image as “non-scleroderma pattern (category 1)” or “scleroderma pattern (category 2)”. Mean inter-rater reliability between all raters (experts/attendees) of the 8th EULAR course on capillaroscopy in Rheumatic Diseases (Genoa, 2018) and, as external validation, of the 8th European Scleroderma Trials and Research group (EUSTAR) course on systemic sclerosis (SSc) (Nijmegen, 2019) versus the principal expert, as well as reliability between the rater pairs themselves was assessed by mean Cohen's and Light's kappa coefficients. Results: Mean Cohen's kappa was 1/0.96 (95% CI 0.95-0.98) for the 6 experts/135 attendees of the 8th EULAR capillaroscopy course and 1/0.94 (95% CI 0.92-0.96) for the 3 experts/85 attendees of the 8th EUSTAR SSc course. Light's kappa was 1/0.92 at the 8th EULAR capillaroscopy course, and 1/0.87 at the 8th EUSTAR SSc course. C Conclusion: For the first time, a clinical expert based fast track decision algorithm has been developed to differentiate a “non-scleroderma” from a “scleroderma pattern” on capillaroscopic images, demonstrating excellent reliability when applied by capillaroscopists with varying levels of expertise versus the principal expert and corroborated with external validation.Wo
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