5 research outputs found

    Inter-rater agreement of CDC criteria and ASEPSIS score in assessing surgical site infections after cesarean section: a prospective observational study

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    ObjectiveTo assess and compare the inter-rater agreement of the CDC criteria and the ASEPSIS score in identifying surgical site infections after cesarean section.MethodsProspective observational study including 110 patients subjected to a cesarean section at our institution. Surgical wounds were managed according to standard care and were photographed on the third, seventh, and thirtieth postoperative day or during any evaluation in case of complications. Three expert surgeons reviewed the prospectively gathered data and photographs and classified each wound using CDC criteria and the ASEPSIS score. The inter-rater agreements of CDC criteria and ASEPSIS score were determined with Krippendorff's Alpha with linear weights and compared with a confidence interval approach.ResultsThe weighted α coefficient for CDC criteria was 0.587 (95%CI, 0.411–0.763, p < 0.001, “moderate” agreement according to Altman's interpretation of weighted agreement coefficient), while the weighted α coefficient for the ASEPSIS score was 0.856 (95%CI, 0.733–0.980, p < 0.001, “very good” agreement).ConclusionASEPSIS score presents a “very good” inter-rater agreement for surgical site infections identification after cesarean, resulting in a more objective method than CDC criteria (“moderate” inter-rater agreement). ASEPSIS score could represent an objective tool for managing and monitoring surgical site infections after cesarean section, also by photographic evaluation

    Macrophage death following influenza vaccination initiates the inflammatory response that promotes dendritic cell function in the draining lymph node

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    The mechanism by which inflammation influences the adaptive response to vaccines is not fully understood. Here, we examine the role of lymph node macrophages (LNMs) in the induction of the cytokine storm triggered by inactivated influenza virus vaccine. Following vaccination, LNMs undergo inflammasome-independent necrosis-like death that is reliant on MyD88 and Toll-like receptor 7 (TLR7) expression and releases pre-stored interleukin-1α (IL-1α). Furthermore, activated medullary macrophages produce interferon-ÎČ (IFN-ÎČ) that induces the autocrine secretion of IL-1α. We also found that macrophage depletion promotes lymph node-resident dendritic cell (LNDC) relocation and affects the capacity of CD11b+ LNDCs to capture virus and express co-stimulatory molecules. Inhibition of the IL-1α-induced inflammatory cascade reduced B cell responses, while co-administration of recombinant IL-1α increased the humoral response. Stimulation of the IL-1α inflammatory pathway might therefore represent a strategy to enhance antigen presentation by LNDCs and improve the humoral response against influenza vaccines

    Effect of the mode of delivery on the risk of endometriosis recurrence: a retrospective cohort study

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    Objective: To evaluate the risk of endometriosis recurrence according to the mode of delivery (cesarean section vs. vaginal birth) in patients who had become pregnant with a live birth after surgery for endometriosis. Design: A retrospective cohort study. A Cox proportional-hazards regression was performed to evaluate the risk factors for endometriosis recurrence at 36 months of follow-up after the last pregnancy. Setting: Academic hospital. Patient(s): Patients who have had ≄1 pregnancy with a live birth following conservative surgery for ovarian endometriosis performed from January 2009 to December 2016 at our institution. Intervention(s): Patients who underwent ≄1 cesarean section after surgery for endometriosis. Main outcome measures: The recurrence rate of endometriosis after live-birth pregnancies obtained after the first surgery for endometriosis. Results: Patients with a history of ≄1 cesarean section after surgery for endometriosis have a higher risk of endometriosis recurrence than the patients who have had a vaginal birth, with an adjusted hazard ratio of 2.25 (95% confidence interval, 1.27-3.96). Conclusion: A cesarean section after surgery for endometriosis is associated with a twofold high risk of endometriosis recurrence with respect to vaginal birth. A different follow-up approach may be needed in those patients, and avoiding inappropriate indications for cesarean sections in pregnant patients with a history of surgery for endometriosis is necessary

    Fast deep learning reconstruction techniques for preclinical magnetic resonance fingerprinting

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    We propose a deep learning (DL) model and a hyperparameter optimization strategy to reconstruct T1 and T2 maps acquired with the magnetic resonance fingerprinting (MRF) methodology. We applied two different MRF sequence routines to acquire images of ex vivo rat brain phantoms using a 7-T preclinical scanner. Subsequently, the DL model was trained using experimental data, completely excluding the use of any theoretical MRI signal simulator. The best combination of the DL parameters was implemented by an automatic hyperparameter optimization strategy, whose key aspect is to include all the parameters to the fit, allowing the simultaneous optimization of the neural network architecture, the structure of the DL model, and the supervised learning algorithm. By comparing the reconstruction performances of the DL technique with those achieved from the traditional dictionary-based method on an independent dataset, the DL approach was shown to reduce the mean percentage relative error by a factor of 3 for T1 and by a factor of 2 for T2, and to improve the computational time by at least a factor of 37. Furthermore, the proposed DL method enables maintaining comparable reconstruction performance, even with a lower number of MRF images and a reduced k-space sampling percentage, with respect to the dictionary-based method. Our results suggest that the proposed DL methodology may offer an improvement in reconstruction accuracy, as well as speeding up MRF for preclinical, and in prospective clinical, investigations.We proposed a deep learning (DL) method and an optimization strategy for the reconstruction of T1 and T2 maps acquired with preclinical magnetic resonance fingerprinting (MRF) sequences. Compared with the traditional dictionary-based method, the DL approach improved the estimation of the maps, and reduced the computational time required for estimation. Moreover, our DL method allowed us to maintain comparable reconstruction performance, even with compressed MRF acquisition sequences.imag

    Macrophage Death following Influenza Vaccination Initiates the Inflammatory Response that Promotes Dendritic Cell Function in the Draining Lymph Node

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    The mechanism by which inflammation influences the adaptive response to vaccines is not fully understood. Here, we examine the role of lymph node macrophages (LNMs) in the induction of the cytokine storm triggered by inactivated influenza virus vaccine. Following vaccination, LNMs undergo inflammasome-independent necrosis-like death that is reliant on MyD88 and Toll-like receptor 7 (TLR7) expression and releases pre-stored interleukin-1α (IL-1α). Furthermore, activated medullary macrophages produce interferon-ÎČ (IFN-ÎČ) that induces the autocrine secretion of IL-1α. We also found that macrophage depletion promotes lymph node-resident dendritic cell (LNDC) relocation and affects the capacity of CD11b+ LNDCs to capture virus and express co-stimulatory molecules. Inhibition of the IL-1α-induced inflammatory cascade reduced B cell responses, while co-administration of recombinant IL-1α increased the humoral response. Stimulation of the IL-1α inflammatory pathway might therefore represent a strategy to enhance antigen presentation by LNDCs and improve the humoral response against influenza vaccines.ISSN:2666-3864ISSN:2211-124
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