8 research outputs found

    appraisal of clinical complications after 23 827 oocyte retrievals in a large assisted reproductive technology program

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    Objective To assess complications encountered after transvaginal oocyte retrieval procedures. Design Retrospective analysis. Setting University hospital, fertility center. Patient(s) A total of 23,827 consecutive transvaginal oocyte retrieval procedures in 12,615 patients. Intervention(s) Oocyte retrieval procedures performed between June 1996 and October 2016. Main Outcome Measure(s) All oocyte retrieval complications. Those requiring hospital admission for at least 24 hours were considered severe. Result(s) A total of 96 patients (0.76 %) suffered complications, with hospital admission necessary for 71 patients (0.56 %). When calculated per retrieval, the overall complication rate was 0.4%, whereas 0.29% was the admission rate, with an average duration of hospital stay of 2.77 ± 2.5 days. A surgical procedure was necessary for 24 patients (0.1% per retrieval and 0.19% per patient). Multivariate analysis showed a significant correlation between complications and women age, body mass index (BMI), the number oocyte retrieved, and the mean time to complete oocyte retrieval. The incidence of complications was significantly higher for physicians who had performed 250 retrievals (odds ratio 0.63, 95% confidence interval 0.40–0.99). Conclusion(s) Oocyte retrieval can be considered a safe procedure but is not without risks. The most important, identifiable, risk factors for the occurrence of complications are: [1] high number of oocytes retrieved, [2] a long duration of the procedure and mean time per oocyte retrieved, [3] inexperience of the surgeon, [4] younger patients with a lesser BMI, and [5] history of prior abdominal or pelvic surgery or pelvic inflammatory disease. Clinical Trial Registration Number NCT03282279

    An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar

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    Background and objectives: Myocardial infarction scar (MIS) assessment by cardiac magnetic resonance provides prognostic information and guides patients' clinical management. However, MIS segmentation is time-consuming and not performed routinely. This study presents a deep-learning-based computational workflow for the segmentation of left ventricular (LV) MIS, for the first time performed on state-of-the-art dark-blood late gadolinium enhancement (DB-LGE) images, and the computation of MIS transmurality and extent.Methods: DB-LGE short-axis images of consecutive patients with myocardial infarction were acquired at 1.5T in two centres between Jan 1, 2019, and June 1, 2021. Two convolutional neural network (CNN) mod-els based on the U-Net architecture were trained to sequentially segment the LV and MIS, by processing an incoming series of DB-LGE images. A 5-fold cross-validation was performed to assess the performance of the models. Model outputs were compared respectively with manual (LV endo-and epicardial border) and semi-automated (MIS, 4-Standard Deviation technique) ground truth to assess the accuracy of the segmentation. An automated post-processing and reporting tool was developed, computing MIS extent (expressed as relative infarcted mass) and transmurality.Results: The dataset included 1355 DB-LGE short-axis images from 144 patients (MIS in 942 images). High performance (> 0.85) as measured by the Intersection over Union metric was obtained for both the LV and MIS segmentations on the training sets. The performance for both LV and MIS segmentations was 0.83 on the test sets.Compared to the 4-Standard Deviation segmentation technique, our system was five times quicker ( <1 min versus 7 +/- 3 min), and required minimal user interaction. Conclusions: Our solution successfully addresses different issues related to automatic MIS segmentation, including accuracy, time-effectiveness, and the automatic generation of a clinical report.(c) 2022 Elsevier B.V. All rights reserved

    Vitamin D and COVID-19 severity and related mortality: a prospective study in Italy

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    Abstract Background Vitamin D deficiency has been suggested to favor a poorer outcome of Coronavirus disease-19 (COVID-19). We aimed to assess if 25-hydroxyvitamin-D (25OHD) levels are associated with interleukin 6 (IL-6) levels and with disease severity and mortality in COVID-19. Methods We prospectively studied 103 in-patients admitted to a Northern-Italian hospital (age 66.1 ± 14.1 years, 70 males) for severely-symptomatic COVID-19. Fifty-two subjects with SARS-CoV-2 infection but mild COVID-19 symptoms (mildly-symptomatic COVID-19 patients) and 206 subjects without SARS-CoV-2 infection were controls. We measured 25OHD and IL-6 levels at admission and focused on respiratory outcome during hospitalization. Results Severely-symptomatic COVID-19 patients had lower 25OHD levels (18.2 ± 11.4 ng/mL) than mildly-symptomatic COVID-19 patients and non-SARS-CoV-2-infected controls (30.3 ± 8.5 ng/mL and 25.4 ± 9.4 ng/mL, respectively, p < 0.0001 for both comparisons). 25OHD and IL-6 levels were respectively lower and higher in severely-symptomatic COVID-19 patients admitted to intensive care Unit [(ICU), 14.4 ± 8.6 ng/mL and 43.0 (19.0–56.0) pg/mL, respectively], than in those not requiring ICU admission [22.4 ± 1.4 ng/mL, p = 0.0001 and 16.0 (8.0–32.0) pg/mL, p = 0.0002, respectively]. Similar differences were found when comparing COVID-19 patients who died in hospital [13.2 ± 6.4 ng/mL and 45.0 (28.0–99.0) pg/mL] with survivors [19.3 ± 12.0 ng/mL, p = 0.035 and 21.0 (10.5–45.9) pg/mL, p = 0.018, respectively). 25OHD levels inversely correlated with: i) IL-6 levels (ρ − 0.284, p = 0.004); ii) the subsequent need of the ICU admission [relative risk, RR 0.99, 95% confidence interval (95%CI) 0.98–1.00, p = 0.011] regardless of age, gender, presence of at least 1 comorbidity among obesity, diabetes, arterial hypertension, creatinine, IL-6 and lactate dehydrogenase levels, neutrophil cells, lymphocytes and platelets count; iii) mortality (RR 0.97, 95%CI, 0.95–0.99, p = 0.011) regardless of age, gender, presence of diabetes, IL-6 and C-reactive protein and lactate dehydrogenase levels, neutrophil cells, lymphocytes and platelets count. Conclusion In our COVID-19 patients, low 25OHD levels were inversely correlated with high IL-6 levels and were independent predictors of COVID-19 severity and mortality

    Pikovaia Dama

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    Orquestra Simfònica del Gran Teatre del Liceu, dirigida per Mark Ermier, i Cor del Gran Teatre del Liceu, dirigit per Romano GandolfiPrograma de mà de l'òpera Pikovaia Dama, representada el gener del 1992, i interpretada pels següents cantants: Jan Blinkhof (Guerman) ; Sergei Leiferkus (Comte Tomski) ; Dimitri Haritónov (Príncep Ieletski) ; Josep Ruiz (Txekalinski) ; Giancarlo Boldrini (Surin) ; Ignacio Giner (Txaplitski) ; Miguel López Galindo (Narumov) ; Leonie Rysanek (Comtessa) ; Natalia Romanova (Lisa) ; Claire Powell (Polina) ; Francesca Roig (governanta) ; Mercè Obiol (Maixa) ; Alfredo Heilbron (mestre de cerimònies). L'orquestra estava dirigida per Mark Ermier, el cor per Romano Gandolfi, i el cor de l'escolania Pia Balmes per Montserrat P

    Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries

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    10.1038/s41467-020-20851-4Nature Communications121125

    Annuaire 2008-2009

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