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151. The International Association for the Study of Lung Cancer Thymic Epithelial Tumor Staging Project: A Re-Assessment of the International Thymic Malignancy Interest Group/International Association for the Study of Lung Cancer Lymph Node Map for Thymic Epithelial Tumors for the Forthcoming Ninth Edition of the TNM Classification of Malignant Tumors

Author

Marom, Edith M., Fang, Wentao, Ruffini, Enrico, Detterbeck, Frank, Ahmad, Usman, Appel, Sarit, Bille, Andrea, Boubia, Souheil, Brambilla, Cecilia, Cilento, Vanessa, Cangir, Ayten Kayi, Falkson, Conrad, Filosso, Pier Luigi, Giaccone, Giuseppe, Girard, Nicolas, Goren, Emily, Guerrera, Francesco, Huang, James, Infante, Maurizio, Kim, Dong-Kwan, Lucchi, Marco, Marino, Mirella, Nicholson, Andrew G., Okumura, Meinoshin, Rami-Porta, Ramon, Rimner, Andreas, Simone, Charles B., II, and Asamura, Hisao

Published
2023
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152. The International Association for the Study of Lung Cancer Thymic Epithelial Tumors Staging Project: Proposal for a Stage Classification for the Forthcoming (Ninth) Edition of the TNM Classification of Malignant Tumors

Author

Ruffini, Enrico, Huang, James, Cilento, Vanessa, Goren, Emily, Detterbeck, Frank, Ahmad, Usman, Appel, Sarit, Bille, Andrea, Boubia, Souheil, Brambilla, Cecilia, Cangir, Ayten Kayi, Falkson, Conrad, Fang, Wentao, Filosso, Pier Luigi, Giaccone, Giuseppe, Girard, Nicolas, Guerrera, Francesco, Infante, Maurizio, Kim, Dong Kwan, Lucchi, Marco, Marino, Mirella, Marom, Edith M., Nicholson, Andrew G., Okumura, Meinoshin, Rami-Porta, Ramon, Rimner, Andreas, Simone, Charles B., II, and Asamura, Hisao

Published
2023
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153. The International Association for the Study of Lung Cancer Thymic Epithelial Tumor Staging Project: Proposal for the T Component for the Forthcoming (Ninth) Edition of the TNM Classification of Malignant Tumors

Author

Okumura, Meinoshin, Marino, Mirella, Cilento, Vanessa, Goren, Emily, Ruffini, Enrico, Dibaba, Daniel, Ahmad, Usman, Appel, Sarit, Bille, Andrea, Boubia, Souheil, Brambilla, Cecilia, Cangir, Ayten Kayi, Detterbeck, Frank, Falkson, Conrad, Fang, Wentao, Filosso, Pier Luigi, Giaccone, Giuseppe, Girard, Nicolas, Guerrera, Francesco, Huang, James, Infante, Maurizio, Kim, Dong Kwan, Lucchi, Marco, Marom, Edith M., Nicholson, Andrew G., Rami-Porta, Ramon, Rimner, Andreas, Simone, Charles B., II, and Asamura, Hisao

Published
2023
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157. Organisational and student characteristics, fidelity, funding models, and unit costs of recovery colleges in 28 countries: a cross-sectional survey

Author

De Ruysscher, Clara, Okoliyski, Michail, Kubinová, Petra, Eplov, Lene Falgaard, Toernes, Charlotte, Narusson, Dagmar, Tinland, Aurélie, Puschner, Bernd, Hiltensperger, Ramona, Lucchi, Fabio, Borg, Marit, Tan, Roger Boon Meng, Sornchai, Chatdanai, Tiengtom, Kim, Farkas, Marianne, Morland-Jones, Hannah, Butler, Ann, Mpango, Richard, Tse, Samson, Kondor, Zsuzsa, Ryan, Michael, Zuaboni, Gianfranco, Hanlon, Charlotte, Harcla, Claire, Vanderplasschen, Wouter, Arbour, Simone, Silverstone, Denise, Bejerholm, Ulrika, Powell, Candice Lym, Ochoa, Susana, Garcia-Franco, Mar, Tolonen, Jonna, Dunnett, Danielle, Yeo, Caroline, Stepanian, Katy, Jebara, Tesnime, Hayes, Daniel, Hunter-Brown, Holly, Camacho, Elizabeth, McPhilbin, Merly, Elliott, Rachel A, Ronaldson, Amy, Bakolis, Ioannis, Repper, Julie, Meddings, Sara, Stergiopoulos, Vicky, Brophy, Lisa, Miyamoto, Yuki, Castelein, Stynke, Klevan, Trude Gøril, Elton, Dan, Grant-Rowles, Jason, Kotera, Yasuhiro, Henderson, Claire, and Slade, Mike

Published
2023
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158. The International Association for the Study of Lung Cancer Thymic Epithelial Tumors Staging Project: An Overview of the Central Database Informing Revision of the Forthcoming (Ninth) Edition of the TNM Classification of Malignant Tumors

Author

Rimner, Andreas, Ruffini, Enrico, Cilento, Vanessa, Goren, Emily, Ahmad, Usman, Appel, Sarit, Bille, Andrea, Boubia, Souheil, Brambilla, Cecilia, Cangir, Ayten Kayi, Detterbeck, Frank, Falkson, Conrad, Fang, Wentao, Filosso, Pier Luigi, Giaccone, Giuseppe, Girard, Nicolas, Guerrera, Francesco, Huang, James, Infante, Maurizio, Kim, Dong Kwan, Lucchi, Marco, Marino, Mirella, Marom, Edith M., Nicholson, Andrew G., Okumura, Meinoshin, Rami-Porta, Ramon, Simone, Charles B., II, and Asamura, Hisao

Published
2023
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162. Commodity risk assessment of Malus domestica plants from Bosnia and Herzegovina

Author

EFSA Panel on Plant Health (PLH), Claude Bragard, Paula Baptista, Elisavet Chatzivassiliou, Paolo Gonthier, Josep Anton Jaques Miret, Annemarie Fejer Justesen, Alan MacLeod, Christer Sven Magnusson, Panagiotis Milonas, Juan A Navas‐Cortes, Stephen Parnell, Roel Potting, Philippe Lucien Reignault, Emilio Stefani, Hans‐Hermann Thulke, Wopke Van der Werf, Antonio Vicent Civera, Lucia Zappalà, Andrea Lucchi, Pedro Gómez, Gregor Urek, Umberto Bernardo, Giovanni Bubici, Anna Vittoria Carluccio, Michela Chiumenti, Francesco Di Serio, Elena Fanelli, Cristina Marzachì, Agata Kaczmarek, and Jonathan Yuen

Subjects
apple, European Union, pathway risk assessment, plant health, plant pest, quarantine, Nutrition. Foods and food supply, TX341-641, Chemical technology, TP1-1185
Abstract

Abstract The European Commission requested the EFSA Panel on Plant Health to prepare and deliver risk assessments for commodities listed in Commission Implementing Regulation (EU) 2018/2019 as ‘High‐risk plants, plant products and other objects’. This Scientific Opinion covers plant health risks posed by bare root plants of Malus domestica grafted on rootstocks of either Malus domestica or Malus sylvestris imported from Bosnia and Herzegovina (BIH), taking into account the available scientific information, including the technical information provided by Bosnia and Herzegovina. All pests associated with the commodities were evaluated against specific criteria for their relevance for this opinion. One protected zone quarantine pest, Erwinia amylovora, fulfilled all relevant criteria and was selected for further evaluation. For E. amylovora, special requirements are specified in Commission Implementing Regulation (EU) 2019/2072. Based on the information provided in the Dossier, these specific requirements for E. amylovora are not met.

Published
2023
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163. Ecological monitoring of physical activity, emotions and daily life activities in schizophrenia: the DiAPAson study

Author

Mirella Ruggeri, Ulf Ekelund, Giovanni de Girolamo, Emiliano Monzani, Matteo Rota, Massimo Clerici, Stefano Calza, Fabrizio Starace, Cristina Zarbo, Scott E Crouter, Stefano Barlati, Riccardo Bussi, Roberto Placenti, Giuseppina Paulillo, Silvia Pogliaghi, Matteo Rocchetti, Stefano Zanolini, Manuel Zamparini, Carlo Matteo Dentali, Antonio de Novellis, Antonina Di Gregorio, Vittorio Di Michele, Patricia Giosuè, Federico Facchini, Carmelo Greco, Filippo M Jacoponi, Emanuela Leuci, Fabio Lucchi, Daniela Malagamba, Marina Marina, Alessandra Martinelli, Nicola Necchini, Jessica Orticola, Rodolfo Pessina, Beatrice Rufelli, Arturo Rippa, Lorenzo Tatini, Giambattista Tura, and Salvatore Zizolfi

Subjects
Psychiatry, RC435-571
Abstract

Background Schizophrenia spectrum disorders (SSD) compromise psychosocial functioning, including daily time use, emotional expression and physical activity (PA).Objective We performed a cohort study aimed at investigating: (1) the differences in PA, daily activities and emotions between patients with SSD and healthy controls (HC); (2) the strength of the association between these variables and clinical features among patients with SSD.Methods Ninety-nine patients with SSD (53 residential patients, 46 outpatients) and 111 matched HC were assessed for several clinical variables, and levels of functioning by means of standardised clinical measures. Self-reported daily activities and emotions were assessed with a smartphone application for ecological momentary assessment (EMA), and PA levels were assessed with a wearable accelerometer for 7 consecutive days.FindingsPatients with SSD, especially those living in residential facilities, spent more time being sedentary, and self-reported more sedentary and self-care activities, experiencing higher levels of negative emotions compared with HC. Moreover, higher functioning levels among patients were associated with more time spent in moderate-to-vigorous activity.Conclusions Sedentary behaviour and negative emotions are particularly critical among patients with SSD and are associated with more impaired clinical outcomes.Clinical implications Mobile-EMA and wearable sensors are useful for monitoring the daily life of patients with SSD and the level of PA. This population needs to be targeted with specific rehabilitative programmes aimed at improving their commitment to structured daily activities.

Published
2023
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165. Controlling Style and Semantics in Weakly-Supervised Image Generation

Author

Pavllo, Dario, Lucchi, Aurelien, and Hofmann, Thomas

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

We propose a weakly-supervised approach for conditional image generation of complex scenes where a user has fine control over objects appearing in the scene. We exploit sparse semantic maps to control object shapes and classes, as well as textual descriptions or attributes to control both local and global style. In order to condition our model on textual descriptions, we introduce a semantic attention module whose computational cost is independent of the image resolution. To further augment the controllability of the scene, we propose a two-step generation scheme that decomposes background and foreground. The label maps used to train our model are produced by a large-vocabulary object detector, which enables access to unlabeled data and provides structured instance information. In such a setting, we report better FID scores compared to fully-supervised settings where the model is trained on ground-truth semantic maps. We also showcase the ability of our model to manipulate a scene on complex datasets such as COCO and Visual Genome., Comment: European Conference on Computer Vision (ECCV) 2020, Spotlight. Code at https://github.com/dariopavllo/style-semantics

Published
2019
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166. A Sub-sampled Tensor Method for Non-convex Optimization

Author

Lucchi, Aurelien and Kohler, Jonas

Subjects
Mathematics - Optimization and Control, Computer Science - Machine Learning
Abstract

We present a stochastic optimization method that uses a fourth-order regularized model to find local minima of smooth and potentially non-convex objective functions with a finite-sum structure. This algorithm uses sub-sampled derivatives instead of exact quantities. The proposed approach is shown to find an $(\epsilon_1,\epsilon_2,\epsilon_3)$-third-order critical point in at most $\bigO\left(\max\left(\epsilon_1^{-4/3}, \epsilon_2^{-2}, \epsilon_3^{-4}\right)\right)$ iterations, thereby matching the rate of deterministic approaches. In order to prove this result, we derive a novel tensor concentration inequality for sums of tensors of any order that makes explicit use of the finite-sum structure of the objective function., Comment: Initial title: A Stochastic Tensor Method for Non-convex Optimization

Published
2019

167. Shadowing Properties of Optimization Algorithms

Author

Orvieto, Antonio and Lucchi, Aurelien

Subjects
Mathematics - Optimization and Control, Computer Science - Machine Learning
Abstract

Ordinary differential equation (ODE) models of gradient-based optimization methods can provide insights into the dynamics of learning and inspire the design of new algorithms. Unfortunately, this thought-provoking perspective is weakened by the fact that, in the worst case, the error between the algorithm steps and its ODE approximation grows exponentially with the number of iterations. In an attempt to encourage the use of continuous-time methods in optimization, we show that, if some additional regularity on the objective is assumed, the ODE representations of Gradient Descent and Heavy-ball do not suffer from the aforementioned problem, once we allow for a small perturbation on the algorithm initial condition. In the dynamical systems literature, this phenomenon is called shadowing. Our analysis relies on the concept of hyperbolicity, as well as on tools from numerical analysis.

Published
2019

168. A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization

Author

Alimisis, Foivos, Orvieto, Antonio, Bécigneul, Gary, and Lucchi, Aurelien

Subjects
Mathematics - Optimization and Control
Abstract

We propose a novel second-order ODE as the continuous-time limit of a Riemannian accelerated gradient-based method on a manifold with curvature bounded from below. This ODE can be seen as a generalization of the ODE derived for Euclidean spaces, and can also serve as an analysis tool. We study the convergence behavior of this ODE for different classes of functions, such as geodesically convex, strongly-convex and weakly-quasi-convex. We demonstrate how such an ODE can be discretized using a semi-implicit and Nesterov-inspired numerical integrator, that empirically yields stable algorithms which are faithful to the continuous-time analysis and exhibit accelerated convergence., Comment: International Conference on Artificial Intelligence and Statistics (AISTATS) 2020

Published
2019

169. Cosmological N-body simulations: a challenge for scalable generative models

Author

Perraudin, Nathanaël, Srivastava, Ankit, Lucchi, Aurelien, Kacprzak, Tomasz, Hofmann, Thomas, and Réfrégier, Alexandre

Subjects
Physics - Computational Physics, Astrophysics - Cosmology and Nongalactic Astrophysics, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Deep generative models, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAs) have been demonstrated to produce images of high visual quality. However, the existing hardware severely limits the size of the images that can be generated. The rapid growth of high dimensional data in many fields of science therefore poses a significant challenge for generative models. In cosmology, the large-scale, three-dimensional matter distribution, modeled with N-body simulations, plays a crucial role in understanding the evolution of the universe. As these simulations are computationally very expensive, GANs have recently generated interest as a possible method to emulate these datasets, but they have been, so far, mostly limited to two dimensional data. In this work, we introduce a new benchmark for the generation of three dimensional N-body simulations, in order to stimulate new ideas in the machine learning community and move closer to the practical use of generative models in cosmology. As a first benchmark result, we propose a scalable GAN approach for training a generator of N-body three-dimensional cubes. Our technique relies on two key building blocks, (i) splitting the generation of the high-dimensional data into smaller parts, and (ii) using a multi-scale approach that efficiently captures global image features that might otherwise be lost in the splitting process. We evaluate the performance of our model for the generation of N-body samples using various statistical measures commonly used in cosmology. Our results show that the proposed model produces samples of high visual quality, although the statistical analysis reveals that capturing rare features in the data poses significant problems for the generative models. We make the data, quality evaluation routines, and the proposed GAN architecture publicly available at https://github.com/nperraud/3DcosmoGAN

Published
2019

170. The Role of Memory in Stochastic Optimization

Author

Orvieto, Antonio, Kohler, Jonas, and Lucchi, Aurelien

Subjects
Computer Science - Machine Learning, Mathematics - Optimization and Control, Statistics - Machine Learning
Abstract

The choice of how to retain information about past gradients dramatically affects the convergence properties of state-of-the-art stochastic optimization methods, such as Heavy-ball, Nesterov's momentum, RMSprop and Adam. Building on this observation, we use stochastic differential equations (SDEs) to explicitly study the role of memory in gradient-based algorithms. We first derive a general continuous-time model that can incorporate arbitrary types of memory, for both deterministic and stochastic settings. We provide convergence guarantees for this SDE for weakly-quasi-convex and quadratically growing functions. We then demonstrate how to discretize this SDE to get a flexible discrete-time algorithm that can implement a board spectrum of memories ranging from short- to long-term. Not only does this algorithm increase the degrees of freedom in algorithmic choice for practitioners but it also comes with better stability properties than classical momentum in the convex stochastic setting. In particular, no iterate averaging is needed for convergence. Interestingly, our analysis also provides a novel interpretation of Nesterov's momentum as stable gradient amplification and highlights a possible reason for its unstable behavior in the (convex) stochastic setting. Furthermore, we discuss the use of long term memory for second-moment estimation in adaptive methods, such as Adam and RMSprop. Finally, we provide an extensive experimental study of the effect of different types of memory in both convex and nonconvex settings., Comment: Accepted paper at the 35th Conference on Uncertainty in Artificial Intelligence (UAI), Tel Aviv, 2019

Published
2019

171. Cosmological constraints with deep learning from KiDS-450 weak lensing maps

Author

Fluri, Janis, Kacprzak, Tomasz, Lucchi, Aurelien, Refregier, Alexandre, Amara, Adam, Hofmann, Thomas, and Schneider, Aurel

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Convolutional Neural Networks (CNN) have recently been demonstrated on synthetic data to improve upon the precision of cosmological inference. In particular they have the potential to yield more precise cosmological constraints from weak lensing mass maps than the two-point functions. We present the cosmological results with a CNN from the KiDS-450 tomographic weak lensing dataset, constraining the total matter density $\Omega_m$, the fluctuation amplitude $\sigma_8$, and the intrinsic alignment amplitude $A_{\rm{IA}}$. We use a grid of N-body simulations to generate a training set of tomographic weak lensing maps. We test the robustness of the expected constraints to various effects, such as baryonic feedback, simulation accuracy, different value of $H_0$, or the lightcone projection technique. We train a set of ResNet-based CNNs with varying depths to analyze sets of tomographic KiDS mass maps divided into 20 flat regions, with applied Gaussian smoothing of $\sigma=2.34$ arcmin. The uncertainties on shear calibration and $n(z)$ error are marginalized in the likelihood pipeline. Following a blinding scheme, we derive constraints of $S_8 = \sigma_8 (\Omega_m/0.3)^{0.5} = 0.777^{+0.038}_{-0.036}$ with our CNN analysis, with $A_{\rm{IA}}=1.398^{+0.779}_{-0.724}$. We compare this result to the power spectrum analysis on the same maps and likelihood pipeline and find an improvement of about $30\%$ for the CNN. We discuss how our results offer excellent prospects for the use of deep learning in future cosmological data analysis., Comment: 22 pages, 15 figures

Published
2019
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172. Adaptive norms for deep learning with regularized Newton methods

Author

Kohler, Jonas, Adolphs, Leonard, and Lucchi, Aurelien

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

We investigate the use of regularized Newton methods with adaptive norms for optimizing neural networks. This approach can be seen as a second-order counterpart of adaptive gradient methods, which we here show to be interpretable as first-order trust region methods with ellipsoidal constraints. In particular, we prove that the preconditioning matrix used in RMSProp and Adam satisfies the necessary conditions for provable convergence of second-order trust region methods with standard worst-case complexities on general non-convex objectives. Furthermore, we run experiments across different neural architectures and datasets to find that the ellipsoidal constraints constantly outperform their spherical counterpart both in terms of number of backpropagations and asymptotic loss value. Finally, we find comparable performance to state-of-the-art first-order methods in terms of backpropagations, but further advances in hardware are needed to render Newton methods competitive in terms of computational time.

Published
2019

174. Quantum Generative Adversarial Networks for Learning and Loading Random Distributions

Author

Zoufal, Christa, Lucchi, Aurélien, and Woerner, Stefan

Subjects
Quantum Physics
Abstract

Quantum algorithms have the potential to outperform their classical counterparts in a variety of tasks. The realization of the advantage often requires the ability to load classical data efficiently into quantum states. However, the best known methods require $\mathcal{O}\left(2^n\right)$ gates to load an exact representation of a generic data structure into an $n$-qubit state. This scaling can easily predominate the complexity of a quantum algorithm and, thereby, impair potential quantum advantage. Our work presents a hybrid quantum-classical algorithm for efficient, approximate quantum state loading. More precisely, we use quantum Generative Adversarial Networks (qGANs) to facilitate efficient learning and loading of generic probability distributions -- implicitly given by data samples -- into quantum states. Through the interplay of a quantum channel, such as a variational quantum circuit, and a classical neural network, the qGAN can learn a representation of the probability distribution underlying the data samples and load it into a quantum state. The loading requires $\mathcal{O}\left(poly\left(n\right)\right)$ gates and can, thus, enable the use of potentially advantageous quantum algorithms, such as Quantum Amplitude Estimation. We implement the qGAN distribution learning and loading method with Qiskit and test it using a quantum simulation as well as actual quantum processors provided by the IBM Q Experience. Furthermore, we employ quantum simulation to demonstrate the use of the trained quantum channel in a quantum finance application., Comment: 14 pages, 13 figures

Published
2019
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175. Plasmodium falciparum pfhrp2 and pfhrp3 Gene Deletions and Relatedness to Other Global Isolates, Djibouti, 2019-2020

Author

Rogier, Eric, McCaffery, Jessica N., Mohamed, Mohamed Ali, Herman, Camelia, Nace, Doug, Daniels, Rachel, Lucchi, Naomi, Jones, Sophie, Goldman, Ira, Aidoo, Michael, Cheng, Qin, Kemenang, Edie A., Udhayakumar, Venkatachalam, and Cunningham, Jane

Subjects
Malaria -- Diagnosis -- Genetic aspects, Plasmodium falciparum -- Identification and classification -- Genetic aspects, Health
Abstract

Diagnosis and appropriate case management of Plasmodium falciparum infection has greatly improved in many malaria-endemic settings through the use of rapid diagnostic tests (RDTs) that detect the histidine-rich protein 2 [...]

Published
2022
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179. The COVID - AGICT study: COVID–19 and advanced gastro-intestinal cancer surgical treatment. A multicentric Italian study on the SARS-CoV-2 pandemic impact on gastro-intestinal cancers surgical treatment during the 2020. Analysis of perioperative and short-term oncological outcomes

Author

Franco, Lorenzo De, Benigni, Roberto, Tribuzi, Angela, Marra, Ubaldo, Di Marino, Michele, Cova, Chiara, Bianchi, Beatrice, Nobile, Sara, Zorcolo, Luigi, Lisi, Giorgio, Allisiardi, Fabrizio, Grieco, Michele, Righetti, Carolina, Frisini, Marco, Brolese, Alberto, Grassia, Michele, Lucchi, Andrea, Bagaglini, Giulia, Sica, Giuseppe S., Manara, Michele, Turati, Luca, Macone, Lorenzo, Carminati, Roberta, Mariani, Pierpaolo, Rizzo, Gianluca, Coco, Claudio, Pennella, Francesca Pennetti, Rondelli, Fabio, Romano, Lucia, Giuliani, Antonio, Palaia, Raffaele, Belli, Andrea, Albino, Vittorio, Leongito, Maddalena, David, Giulia, Misitano, Pasquale, Pasulo, Silvia, Baiocchi, Gian Luca, La Mendola, Roberta, Hilal, Mohamnad Abu, Baldari, Ludovica, Cassinotti, Elisa, Boni, Luigi, Capolupo, Gabriella Teresa, Caricato, Marco, Pinotti, Enrico, Montuori, Mauro, Bombardini, Cristina, Anania, Gabriele, Dibra, Rigers, Martines, Gennaro, Solaini, Leonardo, Ercolani, Giorgio, Oliva, Renato, Carati, Maria Vittoria, Grazi, Gian Luca, Ghio, Giacomo, Marchegiani, Francesco, Pucciarelli, Salvatore, La Torre, Filippo, Iannone, Immacolata, Krizzuk, Dimitri, Sammartino, Francesco, Catalano, Giorgia, Strignano, Paolo, Romagnoli, Renato, Piccione, Domenico, Nardo, Bruno, Reddavid, Rossella, Degiuli, Maurizio, Gerosa, Martino, Maggioni, Dario, Zuolo, Michele, Rigamonti, Marco, Ghazouani, Omar, Galleano, Raffaele, Percivale, Andrea, Tirloni, Luca, Moraldi, Luca, Fabbri, Nicolò, Feo, Carlo Vittorio, Colombo, Samuele, Di Saverio, Salomone, Barbato, Giuseppe, Coratti, Francesco, Sagnotta, Andrea, Mancini, Stefano, Cillara, Nicola, Deserra, Antonello, Cannavera, Alessandro, Formisano, Giampaolo, Giuliani, Giuseppe, Guerra, Francesco, Messinese, Simona, Santelli, Francesco, Salvischiani, Lucia, Esposito, Sofia, Ferraro, Luca, Esposito, Alessandro, De Pastena, Matteo, Rega, Daniela, Delrio, Paolo, La Raja, Carlotta, Spinelli, Antonino, Massaron, Simonetta, De Nardi, Paola, Kauffmann, Emanuele Federico, Boggi, Ugo, Deidda, Simona, Restivo, Angelo, Marano, Alessandra, Borghi, Felice, Piccoli, Micaela, Depalma, Norma, D'Ugo, Stefano, Spampinato, Marcello, Cozzani, Federico, Del Rio, Paolo, Marcellinaro, Rosa, Carlini, Massimo, De Rosa, Raffaele, Scabini, Stefano, Maiello, Fabio, Polastri, Roberto, Turri, Giulia, Pedrazzani, Corrado, Zese, Monica, Parini, Dario, Casaril, Andrea, Moretto, Gianluigi, De Leo, Antonio, Catarci, Marco, Trapani, Renza, Zonta, Sandro, Marsanic, Patrizia, Muratore, Andrea, Di Franco, Gregorio, Morelli, Luca, Coppola, Alessandro, Caputo, Damiano, Andreuccetti, Jacopo, Pignata, Giusto, Mastrangelo, Laura, Jovine, Elio, Mazzola, Michele, Ferrari, Giovanni, Mariani, Lorenzo, Ceccarelli, Graziano, Giuseppe, Rocco, Bolzon, Stefano, Grasso, Mariateresa, Testa, Silvio, Germani, Paola, de Manzini, Nicolò, Langella, Serena, Ferrero, Alessandro, Coletta, Diego, Bianchi, Paolo Pietro, Bengala, Carmelo, and Coratti, Andrea

Published
2023
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182. Impact of High-Grade Patterns in Early-Stage Lung Adenocarcinoma: A Multicentric Analysis

Author

Bertoglio, Pietro, Aprile, Vittorio, Ventura, Luigi, Cattoni, Maria, Nachira, Dania, Lococo, Filippo, Perez, Maria Rodriguez, Guerrera, Francesco, Minervini, Fabrizio, Querzoli, Giulia, Bocchialini, Giovanni, Bacchin, Diana, Franzi, Francesca, Rindi, Guido, Bellafiore, Salvatore, Femia, Federico, Bogina, Giuseppe Salvatore, Solli, Piergiorgio, Kestenholz, Peter, Ruffini, Enrico, Paci, Massimiliano, Margaritora, Stefano, Imperatori, Andrea Selenito, Lucchi, Marco, Gnetti, Letizia, and Terzi, Alberto Claudio

Published
2022
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183. Essential oil-based nanoinsecticides

Author

Giunti, Giulia, primary, Campolo, Orlando, additional, Laudani, Francesca, additional, Palmeri, Vincenzo, additional, Spinozzi, Eleonora, additional, Bonacucina, Giulia, additional, Maggi, Filippo, additional, Pavela, Roman, additional, Canale, Angelo, additional, Lucchi, Andrea, additional, and Benelli, Giovanni, additional

Published
2023
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184. List of contributors

Author

Ahmadian, Gholamreza, primary, Benelli, Giovanni, additional, Bonacucina, Giulia, additional, Brum Togni, Pedro Henrique, additional, Campolo, Orlando, additional, Campos-Herrera, Raquel, additional, Canale, Angelo, additional, Christian, Riann, additional, Dart, Peter, additional, Economou, Leonidas P., additional, Eliopoulos, Panagiotis A., additional, Fenibo, Emmanuel O., additional, Fraceto, Leonardo Fernandes, additional, George, Justin, additional, Giunti, Giulia, additional, Glazer, Itamar, additional, Gomes Lagôa, Ana Carolina, additional, Hoseini, Zakieh Sadat, additional, Isman, Murray B., additional, Karamaouna, Filitsa, additional, Katalani, Camellia, additional, Koch, Aline, additional, Koul, Opender, additional, Kremer, R.J., additional, Laudani, Francesca, additional, Lucchi, Andrea, additional, de Oliveira, Jhones Luiz, additional, Lykogianni, Maira, additional, Maggi, Filippo, additional, Mahmoodian, Sahar, additional, Mantzoukas, Spiridon, additional, Marrone, Pamela G., additional, Matambo, Tonderayi S., additional, Mendel, Zvi, additional, Ment, Dana, additional, Okosun, Olabimpe O., additional, Ortiz, Aurelio, additional, Palmeri, Vincenzo, additional, Pavela, Roman, additional, Pou, Alicia, additional, Campos, Estefânia Vangelie Ramos, additional, Reddy, Gadi V.P., additional, Sansinenea, Estibaliz, additional, Schenk, Peer M., additional, Schreinemachers, Pepijn, additional, Shao, Ziyu, additional, Spinozzi, Eleonora, additional, Srinivasan, Ramasamy, additional, Sujii, Edison Ryoiti, additional, Tarrahimofrad, Hossein, additional, Venzon, Madelaine, additional, Vicente-Díez, Ignacio, additional, Villarreal, Gabriela Unigarro, additional, Wang, Qi, additional, and Wang, Zhenshuo, additional

Published
2023
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185. Abdominal drainage after elective colorectal surgery: propensity score-matched retrospective analysis of an Italian cohort

Author

Guadagni, S, Catarci, M, Masedu, F, Karim, M, Clementi, M, Ruffo, G, Viola, M, Borghi, F, Baldazzi, G, Scatizzi, M, Pirozzi, F, Delrio, P, Garulli, G, Marini, P, Campagnacci, R, De Luca, R, Ficari, F, Sica, G, Scabini, S, Liverani, A, Caricato, M, Patriti, A, Mancini, S, Baiocchi, G, Santoro, R, Siquini, W, Guercioni, G, Basti, M, Pedrazzani, C, Totis, M, Carrara, A, Lucchi, A, Pavanello, M, Muratore, A, D'Ugo, S, Di Leo, A, Pignata, G, Elmore, U, Anania, G, Carlini, M, Corcione, F, Vettoretto, N, Longo, G, Sorrentino, M, Giuliani, A, Ferrari, G, Taglietti, L, Verzelli, A, Di Cosmo, M, Cavaliere, D, Milone, M, Rausei, S, Ciaccio, G, Tebala, G, Brisinda, G, Berti, S, Millo, P, Boni, L, Guerrieri, M, Persiani, R, Parini, D, Spinelli, A, Genna, M, Bottino, V, Coratti, A, Scala, D, Rivolta, U, Piccoli, M, Talarico, C, Roviello, F, Anastasi, A, Ettorre, G, Montuori, M, Mariani, P, de Manzini, N, Donini, A, Armellino, M, Feo, C, Guerriero, S, Costanzi, A, Marchesi, F, Cicetti, M, Ciano, P, Benedetti, M, Montemurro, L, Mattei, M, Belloni, E, Apa, D, Di Carlo, M, Bertocchi, E, Masini, G, Altamura, A, Rubichi, F, Cianflocca, D, Migliore, M, Cassini, D, Pandolfini, L, Falsetto, A, Sciuto, A, Pace, U, Bucci, A, Monari, F, Attina, G, Maurizi, A, Simone, M, Giudici, F, Cianchi, F, Sensi, B, Aprile, A, Soriero, D, Scarinci, A, Capolupo, G, Sisti, V, Ricci, M, Sagnotta, A, Molfino, S, Amodio, P, Cardinali, A, Cicconi, S, Marziali, I, Frazzini, D, Conti, C, Tamini, N, Braga, M, Motter, M, Tirone, G, Martorelli, G, Cacurri, A, Di Marco, C, Marsanic, P, Federico, N, Spampinato, M, Crepaz, L, Andreuccetti, J, Canfora, I, Maggi, G, Chiozza, M, Spoletini, D, Marcellinaro, R, Bracale, U, Peltrini, R, Di Nuzzo, M, Botteri, E, Santoni, S, Stefanoni, M, Del Vecchio, G, Magistro, C, Ruggiero, S, Birindelli, A, Budassi, A, Zigiotto, D, Solaini, L, Ercolani, G, De Palma, G, Tenconi, S, Locurto, P, Di Cintio, A, Chiarello, M, Cariati, M, Gennai, A, Grivon, M, Cassinotti, E, Ortenzi, M, Biondi, A, De Luca, M, Carrano, F, Fior, F, Ferronetti, A, Giuliani, G, Marino, G, Bertoglio, C, Pecchini, F, Greco, V, Piagnerelli, R, Canonico, G, Colasanti, M, Pinotti, E, Carminati, R, Osenda, E, Graziosi, L, De Martino, C, Ioia, G, Pindozzi, F, Organetti, L, Monteleone, M, Dalmonte, G, La Gioia, G, Guadagni S., Catarci M., Masedu F., Karim M. E., Clementi M., Ruffo G., Viola M. G., Borghi F., Baldazzi G., Scatizzi M., Pirozzi F., Delrio P., Garulli G., Marini P., Campagnacci R., De Luca R., Ficari F., Sica G., Scabini S., Liverani A., Caricato M., Patriti A., Mancini S., Baiocchi G. L., Santoro R., Siquini W., Guercioni G., Basti M., Pedrazzani C., Totis M., Carrara A., Lucchi A., Pavanello M., Muratore A., D'Ugo S., Di Leo A., Pignata G., Elmore U., Anania G., Carlini M., Corcione F., Vettoretto N., Longo G., Sorrentino M., Giuliani A., Ferrari G., Taglietti L., Verzelli A., Di Cosmo M., Cavaliere D., Milone M., Rausei S., Ciaccio G., Tebala G., Brisinda G., Berti S., Millo P., Boni L., Guerrieri M., Persiani R., Parini D., Spinelli A., Genna M., Bottino V., Coratti A., Scala D., Rivolta U., Piccoli M., Talarico C., Roviello F., Anastasi A., Ettorre G. M., Montuori M., Mariani P., de Manzini N., Donini A., Armellino M. F., Feo C., Guerriero S., Costanzi A., Marchesi F., Cicetti M., Ciano P., Benedetti M., Montemurro L. A., Mattei M. S., Belloni E., Apa D., Di Carlo M., Bertocchi E., Masini G., Altamura A., Rubichi F., Cianflocca D., Migliore M., Cassini D., Pandolfini L., Falsetto A., Sciuto A., Pace U., Bucci A. F., Monari F., Attina G. M., Maurizi A., Simone M., Giudici F., Cianchi F., Sensi B., Aprile A., Soriero D., Scarinci A., Capolupo G. T., Sisti V., Ricci M. L., Sagnotta A., Molfino S., Amodio P., Cardinali A., Cicconi S., Marziali I., Frazzini D., Conti C., Tamini N., Braga M., Motter M., Tirone G., Martorelli G., Cacurri A., Di Marco C., Marsanic P., Federico N. S. P., Spampinato M., Crepaz L., Andreuccetti J., Canfora I., Maggi G., Chiozza M., Spoletini D., Marcellinaro R., Bracale U., Peltrini R., Di Nuzzo M. M., Botteri E., Santoni S., Stefanoni M., Del Vecchio G., Magistro C., Ruggiero S., Birindelli A., Budassi A., Zigiotto D., Solaini L., Ercolani G., De Palma G. D., Tenconi S., Locurto P., Di Cintio A., Chiarello M. M., Cariati M., Gennai A., Grivon M., Cassinotti E., Ortenzi M., Biondi A., De Luca M., Carrano F., Fior F., Ferronetti A., Giuliani G., Marino G., Bertoglio C. L., Pecchini F., Greco V., Piagnerelli R., Canonico G., Colasanti M., Pinotti E., Carminati R., Osenda E., Graziosi L., De Martino C., Ioia G., Pindozzi F., Organetti L., Monteleone M., Dalmonte G., La Gioia G., Guadagni, S, Catarci, M, Masedu, F, Karim, M, Clementi, M, Ruffo, G, Viola, M, Borghi, F, Baldazzi, G, Scatizzi, M, Pirozzi, F, Delrio, P, Garulli, G, Marini, P, Campagnacci, R, De Luca, R, Ficari, F, Sica, G, Scabini, S, Liverani, A, Caricato, M, Patriti, A, Mancini, S, Baiocchi, G, Santoro, R, Siquini, W, Guercioni, G, Basti, M, Pedrazzani, C, Totis, M, Carrara, A, Lucchi, A, Pavanello, M, Muratore, A, D'Ugo, S, Di Leo, A, Pignata, G, Elmore, U, Anania, G, Carlini, M, Corcione, F, Vettoretto, N, Longo, G, Sorrentino, M, Giuliani, A, Ferrari, G, Taglietti, L, Verzelli, A, Di Cosmo, M, Cavaliere, D, Milone, M, Rausei, S, Ciaccio, G, Tebala, G, Brisinda, G, Berti, S, Millo, P, Boni, L, Guerrieri, M, Persiani, R, Parini, D, Spinelli, A, Genna, M, Bottino, V, Coratti, A, Scala, D, Rivolta, U, Piccoli, M, Talarico, C, Roviello, F, Anastasi, A, Ettorre, G, Montuori, M, Mariani, P, de Manzini, N, Donini, A, Armellino, M, Feo, C, Guerriero, S, Costanzi, A, Marchesi, F, Cicetti, M, Ciano, P, Benedetti, M, Montemurro, L, Mattei, M, Belloni, E, Apa, D, Di Carlo, M, Bertocchi, E, Masini, G, Altamura, A, Rubichi, F, Cianflocca, D, Migliore, M, Cassini, D, Pandolfini, L, Falsetto, A, Sciuto, A, Pace, U, Bucci, A, Monari, F, Attina, G, Maurizi, A, Simone, M, Giudici, F, Cianchi, F, Sensi, B, Aprile, A, Soriero, D, Scarinci, A, Capolupo, G, Sisti, V, Ricci, M, Sagnotta, A, Molfino, S, Amodio, P, Cardinali, A, Cicconi, S, Marziali, I, Frazzini, D, Conti, C, Tamini, N, Braga, M, Motter, M, Tirone, G, Martorelli, G, Cacurri, A, Di Marco, C, Marsanic, P, Federico, N, Spampinato, M, Crepaz, L, Andreuccetti, J, Canfora, I, Maggi, G, Chiozza, M, Spoletini, D, Marcellinaro, R, Bracale, U, Peltrini, R, Di Nuzzo, M, Botteri, E, Santoni, S, Stefanoni, M, Del Vecchio, G, Magistro, C, Ruggiero, S, Birindelli, A, Budassi, A, Zigiotto, D, Solaini, L, Ercolani, G, De Palma, G, Tenconi, S, Locurto, P, Di Cintio, A, Chiarello, M, Cariati, M, Gennai, A, Grivon, M, Cassinotti, E, Ortenzi, M, Biondi, A, De Luca, M, Carrano, F, Fior, F, Ferronetti, A, Giuliani, G, Marino, G, Bertoglio, C, Pecchini, F, Greco, V, Piagnerelli, R, Canonico, G, Colasanti, M, Pinotti, E, Carminati, R, Osenda, E, Graziosi, L, De Martino, C, Ioia, G, Pindozzi, F, Organetti, L, Monteleone, M, Dalmonte, G, La Gioia, G, Guadagni S., Catarci M., Masedu F., Karim M. E., Clementi M., Ruffo G., Viola M. G., Borghi F., Baldazzi G., Scatizzi M., Pirozzi F., Delrio P., Garulli G., Marini P., Campagnacci R., De Luca R., Ficari F., Sica G., Scabini S., Liverani A., Caricato M., Patriti A., Mancini S., Baiocchi G. L., Santoro R., Siquini W., Guercioni G., Basti M., Pedrazzani C., Totis M., Carrara A., Lucchi A., Pavanello M., Muratore A., D'Ugo S., Di Leo A., Pignata G., Elmore U., Anania G., Carlini M., Corcione F., Vettoretto N., Longo G., Sorrentino M., Giuliani A., Ferrari G., Taglietti L., Verzelli A., Di Cosmo M., Cavaliere D., Milone M., Rausei S., Ciaccio G., Tebala G., Brisinda G., Berti S., Millo P., Boni L., Guerrieri M., Persiani R., Parini D., Spinelli A., Genna M., Bottino V., Coratti A., Scala D., Rivolta U., Piccoli M., Talarico C., Roviello F., Anastasi A., Ettorre G. M., Montuori M., Mariani P., de Manzini N., Donini A., Armellino M. F., Feo C., Guerriero S., Costanzi A., Marchesi F., Cicetti M., Ciano P., Benedetti M., Montemurro L. A., Mattei M. S., Belloni E., Apa D., Di Carlo M., Bertocchi E., Masini G., Altamura A., Rubichi F., Cianflocca D., Migliore M., Cassini D., Pandolfini L., Falsetto A., Sciuto A., Pace U., Bucci A. F., Monari F., Attina G. M., Maurizi A., Simone M., Giudici F., Cianchi F., Sensi B., Aprile A., Soriero D., Scarinci A., Capolupo G. T., Sisti V., Ricci M. L., Sagnotta A., Molfino S., Amodio P., Cardinali A., Cicconi S., Marziali I., Frazzini D., Conti C., Tamini N., Braga M., Motter M., Tirone G., Martorelli G., Cacurri A., Di Marco C., Marsanic P., Federico N. S. P., Spampinato M., Crepaz L., Andreuccetti J., Canfora I., Maggi G., Chiozza M., Spoletini D., Marcellinaro R., Bracale U., Peltrini R., Di Nuzzo M. M., Botteri E., Santoni S., Stefanoni M., Del Vecchio G., Magistro C., Ruggiero S., Birindelli A., Budassi A., Zigiotto D., Solaini L., Ercolani G., De Palma G. D., Tenconi S., Locurto P., Di Cintio A., Chiarello M. M., Cariati M., Gennai A., Grivon M., Cassinotti E., Ortenzi M., Biondi A., De Luca M., Carrano F., Fior F., Ferronetti A., Giuliani G., Marino G., Bertoglio C. L., Pecchini F., Greco V., Piagnerelli R., Canonico G., Colasanti M., Pinotti E., Carminati R., Osenda E., Graziosi L., De Martino C., Ioia G., Pindozzi F., Organetti L., Monteleone M., Dalmonte G., and La Gioia G.

Abstract

Background: In Italy, surgeons continue to drain the abdominal cavity in more than 50 per cent of patients after colorectal resection. The aim of this study was to evaluate the impact of abdominal drain placement on early adverse events in patients undergoing elective colorectal surgery. Methods: A database was retrospectively analysed through a 1:1 propensity score-matching model including 21 covariates. The primary endpoint was the postoperative duration of stay, and the secondary endpoints were surgical site infections, infectious morbidity rate defined as surgical site infections plus pulmonary infections plus urinary infections, anastomotic leakage, overall morbidity rate, major morbidity rate, reoperation and mortality rates. The results of multiple logistic regression analyses were presented as odds ratios (OR) and 95 per cent c.i. Results: A total of 6157 patients were analysed to produce two well-balanced groups of 1802 patients: group (A), no abdominal drain(s) and group (B), abdominal drain(s). Group A versus group B showed a significantly lower risk of postoperative duration of stay >6 days (OR 0.60; 95 per cent c.i. 0.51–0.70; P < 0.001). A mean postoperative duration of stay difference of 0.86 days was detected between groups. No difference was recorded between the two groups for all the other endpoints. Conclusion: This study confirms that placement of abdominal drain(s) after elective colorectal surgery is associated with a non-clinically significant longer (0.86 days) postoperative duration of stay but has no impact on any other secondary outcomes, confirming that abdominal drains should not be used routinely in colorectal surgery.

Published
2024

186. Mechanical bowel preparation in elective colorectal surgery: a propensity score-matched analysis of the Italian colorectal anastomotic leakage (iCral) study group prospective cohorts

Author

Catarci, M, Guadagni, S, Masedu, F, Ruffo, G, Viola, M, Borghi, F, Baldazzi, G, Pirozzi, F, Delrio, P, Garulli, G, Marini, P, Patriti, A, Campagnacci, R, Sica, G, Caricato, M, Montemurro, L, Ciano, P, Benedetti, M, Guercioni, G, Scatizzi, M, De Luca, R, Ficari, F, Scabini, S, Liverani, A, Mancini, S, Baiocchi, G, Santoro, R, Siquini, W, Basti, M, Pedrazzani, C, Totis, M, Carrara, A, Lucchi, A, Pavanello, M, Muratore, A, D'Ugo, S, Di Leo, A, Pignata, G, Elmore, U, Anania, G, Carlini, M, Corcione, F, Vettoretto, N, Longo, G, Sorrentino, M, Giuliani, A, Ferrari, G, Taglietti, L, Verzelli, A, Di Cosmo, M, Cavaliere, D, Milone, M, Rausei, S, Ciaccio, G, Tebala, G, Brisinda, G, Berti, S, Millo, P, Boni, L, Guerrieri, M, Persiani, R, Parini, D, Spinelli, A, Genna, M, Bottino, V, Coratti, A, Scala, D, Rivolta, U, Piccoli, M, Talarico, C, Roviello, F, Anastasi, A, Ettorre, G, Montuori, M, Mariani, P, de Manzini, N, Donini, A, Armellino, M, Feo, C, Guerriero, S, Costanzi, A, Marchesi, F, Cicetti, M, Mattei, M, Belloni, E, Apa, D, Di Carlo, M, Cicconi, S, Marziali, I, Clementi, M, Bertocchi, E, Masini, G, Altamura, A, Rubichi, F, Cianflocca, D, Migliore, M, Cassini, D, Sciuto, A, Pace, U, Bucci, A, Monari, F, Attina, G, Sisti, V, Ricci, M, Maurizi, A, Sensi, B, Capolupo, G, Pandolfini, L, Falsetto, A, Simone, M, Giudici, F, Cianchi, F, Baldini, G, Aprile, A, Soriero, D, Scarinci, A, Sagnotta, A, Molfino, S, Amodio, P, Cardinali, A, Frazzini, D, Conti, C, Tamini, N, Braga, M, Motter, M, Tirone, G, Martorelli, G, Cacurri, A, Di Marco, C, Marsanic, P, Federico, N, Spampinato, M, Crepaz, L, Andreuccetti, J, Canfora, I, Maggi, G, Chiozza, M, Spoletini, D, Marcellinaro, R, Lisi, G, Bracale, U, Peltrini, R, Di Nuzzo, M, Botteri, E, Santoni, S, Stefanoni, M, Del Vecchio, G, Magistro, C, Ruggiero, S, Birindelli, A, Budassi, A, Zigiotto, D, Solaini, L, Ercolani, G, De Palma, G, Tenconi, S, Locurto, P, Di Cintio, A, Chiarello, M, Cariati, M, Gennai, A, Grivon, M, Cassinotti, E, Ortenzi, M, Biondi, A, De Luca, M, Carrano, F, Fior, F, Ferronetti, A, Giuliani, G, Marino, G, Bertoglio, C, Pecchini, F, Greco, V, Piagnerelli, R, Canonico, G, Colasanti, M, Pinotti, E, Carminati, R, Osenda, E, Graziosi, L, De Martino, C, Ioia, G, Pindozzi, F, Organetti, L, Monteleone, M, Dalmonte, G, La Gioia, G, Catarci M., Guadagni S., Masedu F., Ruffo G., Viola M. G., Borghi F., Baldazzi G., Pirozzi F., Delrio P., Garulli G., Marini P., Patriti A., Campagnacci R., Sica G., Caricato M., Montemurro L. A., Ciano P., Benedetti M., Guercioni G., Scatizzi M., De Luca R., Ficari F., Scabini S., Liverani A., Mancini S., Baiocchi G. L., Santoro R., Siquini W., Basti M., Pedrazzani C., Totis M., Carrara A., Lucchi A., Pavanello M., Muratore A., D'Ugo S., Di Leo A., Pignata G., Elmore U., Anania G., Carlini M., Corcione F., Vettoretto N., Longo G., Sorrentino M., Giuliani A., Ferrari G., Taglietti L., Verzelli A., Di Cosmo M., Cavaliere D., Milone M., Rausei S., Ciaccio G., Tebala G., Brisinda G., Berti S., Millo P., Boni L., Guerrieri M., Persiani R., Parini D., Spinelli A., Genna M., Bottino V., Coratti A., Scala D., Rivolta U., Piccoli M., Talarico C., Roviello F., Anastasi A., Ettorre G. M., Montuori M., Mariani P., de Manzini N., Donini A., Armellino M. F., Feo C., Guerriero S., Costanzi A., Marchesi F., Cicetti M., Mattei M. S., Belloni E., Apa D., Di Carlo M., Cicconi S., Marziali I., Clementi M., Bertocchi E., Masini G., Altamura A., Rubichi F., Cianflocca D., Migliore M., Cassini D., Sciuto A., Pace U., Bucci A. F., Monari F., Attina G. M., Sisti V., Ricci M. L., Maurizi A., Sensi B., Capolupo G. T., Pandolfini L., Falsetto A., Simone M., Giudici F., Cianchi F., Baldini G., Aprile A., Soriero D., Scarinci A., Sagnotta A., Molfino S., Amodio P., Cardinali A., Frazzini D., Conti C., Tamini N., Braga M., Motter M., Tirone G., Martorelli G., Cacurri A., Di Marco C., Marsanic P., Federico N. S. P., Spampinato M., Crepaz L., Andreuccetti J., Canfora I., Maggi G., Chiozza M., Spoletini D., Marcellinaro R., Lisi G., Bracale U., Peltrini R., Di Nuzzo M. M., Botteri E., Santoni S., Stefanoni M., Del Vecchio G., Magistro C., Ruggiero S., Birindelli A., Budassi A., Zigiotto D., Solaini L., Ercolani G., De Palma G. D., Tenconi S., Locurto P., Di Cintio A., Chiarello M. M., Cariati M., Gennai A., Grivon M., Cassinotti E., Ortenzi M., Biondi A., De Luca M., Carrano F., Fior F., Ferronetti A., Giuliani G., Marino G., Bertoglio C. L., Pecchini F., Greco V., Piagnerelli R., Canonico G., Colasanti M., Pinotti E., Carminati R., Osenda E., Graziosi L., De Martino C., Ioia G., Pindozzi F., Organetti L., Monteleone M., Dalmonte G., La Gioia G., Catarci, M, Guadagni, S, Masedu, F, Ruffo, G, Viola, M, Borghi, F, Baldazzi, G, Pirozzi, F, Delrio, P, Garulli, G, Marini, P, Patriti, A, Campagnacci, R, Sica, G, Caricato, M, Montemurro, L, Ciano, P, Benedetti, M, Guercioni, G, Scatizzi, M, De Luca, R, Ficari, F, Scabini, S, Liverani, A, Mancini, S, Baiocchi, G, Santoro, R, Siquini, W, Basti, M, Pedrazzani, C, Totis, M, Carrara, A, Lucchi, A, Pavanello, M, Muratore, A, D'Ugo, S, Di Leo, A, Pignata, G, Elmore, U, Anania, G, Carlini, M, Corcione, F, Vettoretto, N, Longo, G, Sorrentino, M, Giuliani, A, Ferrari, G, Taglietti, L, Verzelli, A, Di Cosmo, M, Cavaliere, D, Milone, M, Rausei, S, Ciaccio, G, Tebala, G, Brisinda, G, Berti, S, Millo, P, Boni, L, Guerrieri, M, Persiani, R, Parini, D, Spinelli, A, Genna, M, Bottino, V, Coratti, A, Scala, D, Rivolta, U, Piccoli, M, Talarico, C, Roviello, F, Anastasi, A, Ettorre, G, Montuori, M, Mariani, P, de Manzini, N, Donini, A, Armellino, M, Feo, C, Guerriero, S, Costanzi, A, Marchesi, F, Cicetti, M, Mattei, M, Belloni, E, Apa, D, Di Carlo, M, Cicconi, S, Marziali, I, Clementi, M, Bertocchi, E, Masini, G, Altamura, A, Rubichi, F, Cianflocca, D, Migliore, M, Cassini, D, Sciuto, A, Pace, U, Bucci, A, Monari, F, Attina, G, Sisti, V, Ricci, M, Maurizi, A, Sensi, B, Capolupo, G, Pandolfini, L, Falsetto, A, Simone, M, Giudici, F, Cianchi, F, Baldini, G, Aprile, A, Soriero, D, Scarinci, A, Sagnotta, A, Molfino, S, Amodio, P, Cardinali, A, Frazzini, D, Conti, C, Tamini, N, Braga, M, Motter, M, Tirone, G, Martorelli, G, Cacurri, A, Di Marco, C, Marsanic, P, Federico, N, Spampinato, M, Crepaz, L, Andreuccetti, J, Canfora, I, Maggi, G, Chiozza, M, Spoletini, D, Marcellinaro, R, Lisi, G, Bracale, U, Peltrini, R, Di Nuzzo, M, Botteri, E, Santoni, S, Stefanoni, M, Del Vecchio, G, Magistro, C, Ruggiero, S, Birindelli, A, Budassi, A, Zigiotto, D, Solaini, L, Ercolani, G, De Palma, G, Tenconi, S, Locurto, P, Di Cintio, A, Chiarello, M, Cariati, M, Gennai, A, Grivon, M, Cassinotti, E, Ortenzi, M, Biondi, A, De Luca, M, Carrano, F, Fior, F, Ferronetti, A, Giuliani, G, Marino, G, Bertoglio, C, Pecchini, F, Greco, V, Piagnerelli, R, Canonico, G, Colasanti, M, Pinotti, E, Carminati, R, Osenda, E, Graziosi, L, De Martino, C, Ioia, G, Pindozzi, F, Organetti, L, Monteleone, M, Dalmonte, G, La Gioia, G, Catarci M., Guadagni S., Masedu F., Ruffo G., Viola M. G., Borghi F., Baldazzi G., Pirozzi F., Delrio P., Garulli G., Marini P., Patriti A., Campagnacci R., Sica G., Caricato M., Montemurro L. A., Ciano P., Benedetti M., Guercioni G., Scatizzi M., De Luca R., Ficari F., Scabini S., Liverani A., Mancini S., Baiocchi G. L., Santoro R., Siquini W., Basti M., Pedrazzani C., Totis M., Carrara A., Lucchi A., Pavanello M., Muratore A., D'Ugo S., Di Leo A., Pignata G., Elmore U., Anania G., Carlini M., Corcione F., Vettoretto N., Longo G., Sorrentino M., Giuliani A., Ferrari G., Taglietti L., Verzelli A., Di Cosmo M., Cavaliere D., Milone M., Rausei S., Ciaccio G., Tebala G., Brisinda G., Berti S., Millo P., Boni L., Guerrieri M., Persiani R., Parini D., Spinelli A., Genna M., Bottino V., Coratti A., Scala D., Rivolta U., Piccoli M., Talarico C., Roviello F., Anastasi A., Ettorre G. M., Montuori M., Mariani P., de Manzini N., Donini A., Armellino M. F., Feo C., Guerriero S., Costanzi A., Marchesi F., Cicetti M., Mattei M. S., Belloni E., Apa D., Di Carlo M., Cicconi S., Marziali I., Clementi M., Bertocchi E., Masini G., Altamura A., Rubichi F., Cianflocca D., Migliore M., Cassini D., Sciuto A., Pace U., Bucci A. F., Monari F., Attina G. M., Sisti V., Ricci M. L., Maurizi A., Sensi B., Capolupo G. T., Pandolfini L., Falsetto A., Simone M., Giudici F., Cianchi F., Baldini G., Aprile A., Soriero D., Scarinci A., Sagnotta A., Molfino S., Amodio P., Cardinali A., Frazzini D., Conti C., Tamini N., Braga M., Motter M., Tirone G., Martorelli G., Cacurri A., Di Marco C., Marsanic P., Federico N. S. P., Spampinato M., Crepaz L., Andreuccetti J., Canfora I., Maggi G., Chiozza M., Spoletini D., Marcellinaro R., Lisi G., Bracale U., Peltrini R., Di Nuzzo M. M., Botteri E., Santoni S., Stefanoni M., Del Vecchio G., Magistro C., Ruggiero S., Birindelli A., Budassi A., Zigiotto D., Solaini L., Ercolani G., De Palma G. D., Tenconi S., Locurto P., Di Cintio A., Chiarello M. M., Cariati M., Gennai A., Grivon M., Cassinotti E., Ortenzi M., Biondi A., De Luca M., Carrano F., Fior F., Ferronetti A., Giuliani G., Marino G., Bertoglio C. L., Pecchini F., Greco V., Piagnerelli R., Canonico G., Colasanti M., Pinotti E., Carminati R., Osenda E., Graziosi L., De Martino C., Ioia G., Pindozzi F., Organetti L., Monteleone M., Dalmonte G., and La Gioia G.

Abstract

Retrospective evaluation of the effects of mechanical bowel preparation (MBP) on data derived from two prospective open-label observational multicenter studies in Italy regarding elective colorectal surgery. MBP for elective colorectal surgery remains a controversial issue with contrasting recommendations in current guidelines. The Italian ColoRectal Anastomotic Leakage (iCral) study group, therefore, decided to estimate the effects of no MBP (treatment variable) versus MBP for elective colorectal surgery. A total of 8359 patients who underwent colorectal resection with anastomosis were enrolled in two consecutive prospective studies in 78 surgical centers in Italy from January 2019 to September 2021. A retrospective PSMA was performed on 5455 (65.3%) cases after the application of explicit exclusion criteria to eliminate confounders. The primary endpoints were anastomotic leakage (AL) and surgical site infections (SSI) rates; the secondary endpoints included SSI subgroups, overall and major morbidity, reoperation, and mortality rates. Overall length of postoperative hospital stay (LOS) was also considered. Two well-balanced groups of 1125 patients each were generated: group A (No MBP, true population of interest), and group B (MBP, control population), performing a PSMA considering 21 covariates. Group A vs. group B resulted significantly associated with a lower risk of AL [42 (3.5%) vs. 73 (6.0%) events; OR 0.57; 95% CI 0.38–0.84; p = 0.005]. No difference was recorded between the two groups for SSI [73 (6.0%) vs. 85 (7.0%) events; OR 0.88; 95% CI 0.63–1.22; p = 0.441]. Regarding the secondary endpoints, no MBP resulted significantly associated with a lower risk of reoperation and LOS > 6 days. This study confirms that no MBP before elective colorectal surgery is significantly associated with a lower risk of AL, reoperation rate, and LOS < 6 days when compared with MBP.

Published
2024

187. Clinical characteristics and outcomes of vaccinated patients hospitalised with SARS-CoV-2 breakthrough infection: Multi-IPV, a multicentre study in Northern Italy

Author

Lombardi, A, Villa, S, Colaneri, M, Scaglione, G, Bai, F, Varisco, B, Bono, V, Vena, A, Dentone, C, Russo, C, Tettamanti, M, Renisi, G, Viero, G, Azzarà, C, Mantero, M, Peyvandi, F, Bassetti, M, Marchetti, G, Muscatello, A, Nobili, A, Gori, A, Bandera, A, Bosari, S, Scudeller, L, Fusetti, G, Rusconi, L, Dell’Orto, S, Prati, D, Valenti, L, Giovannelli, S, Manunta, M, Lamorte, G, Ferarri, F, Gori., A, Mangioni, D, Alagna, L, Bozzi, G, Lombardi., A, Ungaro, R, Ancona, G, Mussa, M, Mariani, B, Bolis, M, Iannotti, N, Ludovisi, S, Comelli, A, Biscarini, S, Castelli, V, Palomba, E, Fava, M, Peri, C, Saltini, P, Itri, T, Ferroni, V, Pastore, V, Massafra, R, Liparoti, A, Muheberimana, T, Giommi, A, Bianco, R, Chitani, G, Bobbio, C, De Matteis, I, Bonomi, A, Gualtierotti, R, Ferrari, B, Rossio, R, Boasi, N, Pagliaro, E, Massimo, C, De Caro, M, Giachi, A, Montano, N, Vigone, B, Bellocchi, C, Carandina, A, Fiorelli, E, Melli, V, Tobaldini, E, Blasi, F, Aliberti, S, Spotti, M, Terranova, L, Misuraca, S, D’Adda, A, Della Fiore, S, Di Pasquale, M, Mantero., M, Contarini, M, Ori, M, Morlacchi, L, Rossetti, V, Gramegna, A, Pappalettera, M, Cavallini, M, Buscemi, A, Vicenzi, M, Rota, I, Costantino, G, Solbiati, M, Furlan, L, Mancarella, M, Colombo, G, Fanin, A, Passarella, M, Monzani, V, Canetta, C, Rovellini, A, Barbetta, L, Billi, F, Folli, C, Accordino, S, Maira, D, Hu, C, Motta, I, Scaramellini, N, Fracanzani, A, Lombardi, R, Cespiati, A, Cesari, M, Lucchi, T, Proietti, M, Calcaterra, L, Mandelli, C, Coppola, C, Cerizza, A, Pesenti, A, Grasselli, G, Galazzi, A, Nobili., A, Monti, I, Galbussera, A, Crisafulli, E, Girelli, D, Maroccia, A, Gabbiani, D, Busti, F, Vianello, A, Biondan, M, Sartori, F, Faverio, P, Pesci, A, Zucchetti, S, Bonfanti, P, Rossi, M, Beretta, I, Spolti, A, Harari, S, Elia, D, Cassandro, R, Caminati, A, Cipollone, F, Guagnano, M, D’Ardes, D, Rossi, I, Vezzani, F, Spanevello, A, Cherubino, F, Visca, D, Contoli, M, Papi, A, Morandi, L, Battistini, N, Moreo, G, Iannuzzi, P, Fumagalla, D, Leone, S, Lombardi, Andrea, Villa, Simone, Colaneri, Marta, Scaglione, Giovanni, Bai, Francesca, Varisco, Benedetta, Bono, Valeria, Vena, Antonio, Dentone, Chiara, Russo, Chiara, Tettamanti, Mauro, Renisi, Giulia, Viero, Giulia, Azzarà, Cecilia, Mantero, Marco, Peyvandi, Flora, Bassetti, Matteo, Marchetti, Giulia, Muscatello, Antonio, Nobili, Alessandro, Gori, Andrea, Bandera, Alessandra, Bosari, Silvano, Scudeller, Luigia, Fusetti, Giuliana, Rusconi, Laura, Dell’Orto, Silvia, Prati, Daniele, Valenti, Luca, Giovannelli, Silvia, Manunta, Maria, Lamorte, Giuseppe, Ferarri, Francesca, Gori. , Andrea, Mangioni, Davide, Alagna, Laura, Bozzi, Giorgio, Lombardi. , Andrea, Ungaro, Riccardo, Ancona, Giuseppe, Mussa, Marco, Mariani, Bianca Veronica, Bolis, Matteo, Iannotti, Nathalie, Ludovisi, Serena, Comelli, Agnese, Biscarini, Simona, Castelli, Valeria, Palomba, Emanuele, Fava, Marco, Peri, Carlo Alberto, Saltini, Paola, Itri, Teresa, Ferroni, Valentina, Pastore, Valeria, Massafra, Roberta, Liparoti, Arianna, Muheberimana, Toussaint, Giommi, Alessandro, Bianco, Rosaria, Chitani, Grazia Eliana, Bobbio, Chiara, De Matteis, Irene, Bonomi, Angelo Bianchi, Gualtierotti, Roberta, Ferrari, Barbara, Rossio, Raffaella, Boasi, Nadia, Pagliaro, Erica, Massimo, Costanza, De Caro, Michele, Giachi, Andrea, Montano, Nicola, Vigone, Barbara, Bellocchi, Chiara, Carandina, Angelica, Fiorelli, Elisa, Melli, Valerie, Tobaldini, Eleonora, Blasi, Francesco, Aliberti, Stefano, Spotti, Maura, Terranova, Leonardo, Misuraca, Sofia, D’Adda, Alice, Della Fiore, Silvia, Di Pasquale, Marta, Mantero. , Marco, Contarini, Martina, Ori, Margherita, Morlacchi, Letizia, Rossetti, Valeria, Gramegna, Andrea, Pappalettera, Maria, Cavallini, Mirta, Buscemi, Agata, Vicenzi, Marco, Rota, Irena, Costantino, Giorgio, Solbiati, Monica, Furlan, Ludovico, Mancarella, Marta, Colombo, Giulia, Colombo, Giorgio, Fanin, Alice, Passarella, Mariele, Monzani, Valter, Canetta, Ciro, Rovellini, Angelo, Barbetta, Laura, Billi, Filippo, Folli, Christian, Accordino, Silvia, Maira, Diletta, Hu, Cinzia Maria, Motta, Irene, Scaramellini, Natalia, Fracanzani, Anna Ludovica, Lombardi, Rosa, Cespiati, Annalisa, Cesari, Matteo, Lucchi, Tiziano, Proietti, Marco, Calcaterra, Laura, Mandelli, Clara, Coppola, Carlotta, Cerizza, Arturo, Pesenti, Antonio Maria, Grasselli, Giacomo, Galazzi, Alessandro, Nobili. , Alessandro, Monti, Igor, Galbussera, Alessia Antonella, Crisafulli, Ernesto, Girelli, Domenico, Maroccia, Alessio, Gabbiani, Daniele, Busti, Fabiana, Vianello, Alice, Biondan, Marta, Sartori, Filippo, Faverio, Paola, Pesci, Alberto, Zucchetti, Stefano, Bonfanti, Paolo, Rossi, Marianna, Beretta, Ilaria, Spolti, Anna, Harari, Sergio, Elia, Davide, Cassandro, Roberto, Caminati, Antonella, Cipollone, Francesco, Guagnano, Maria Teresa, D’Ardes, Damiano, Rossi, Ilaria, Vezzani, Francesca, Spanevello, Antonio, Cherubino, Francesca, Visca, Dina, Contoli, Marco, Papi, Alberto, Morandi, Luca, Battistini, Nicholas, Moreo, Guido Luigi, Iannuzzi, Pasqualina, Fumagalla, Daniele, Leone, Sara, Lombardi, A, Villa, S, Colaneri, M, Scaglione, G, Bai, F, Varisco, B, Bono, V, Vena, A, Dentone, C, Russo, C, Tettamanti, M, Renisi, G, Viero, G, Azzarà, C, Mantero, M, Peyvandi, F, Bassetti, M, Marchetti, G, Muscatello, A, Nobili, A, Gori, A, Bandera, A, Bosari, S, Scudeller, L, Fusetti, G, Rusconi, L, Dell’Orto, S, Prati, D, Valenti, L, Giovannelli, S, Manunta, M, Lamorte, G, Ferarri, F, Gori., A, Mangioni, D, Alagna, L, Bozzi, G, Lombardi., A, Ungaro, R, Ancona, G, Mussa, M, Mariani, B, Bolis, M, Iannotti, N, Ludovisi, S, Comelli, A, Biscarini, S, Castelli, V, Palomba, E, Fava, M, Peri, C, Saltini, P, Itri, T, Ferroni, V, Pastore, V, Massafra, R, Liparoti, A, Muheberimana, T, Giommi, A, Bianco, R, Chitani, G, Bobbio, C, De Matteis, I, Bonomi, A, Gualtierotti, R, Ferrari, B, Rossio, R, Boasi, N, Pagliaro, E, Massimo, C, De Caro, M, Giachi, A, Montano, N, Vigone, B, Bellocchi, C, Carandina, A, Fiorelli, E, Melli, V, Tobaldini, E, Blasi, F, Aliberti, S, Spotti, M, Terranova, L, Misuraca, S, D’Adda, A, Della Fiore, S, Di Pasquale, M, Mantero., M, Contarini, M, Ori, M, Morlacchi, L, Rossetti, V, Gramegna, A, Pappalettera, M, Cavallini, M, Buscemi, A, Vicenzi, M, Rota, I, Costantino, G, Solbiati, M, Furlan, L, Mancarella, M, Colombo, G, Fanin, A, Passarella, M, Monzani, V, Canetta, C, Rovellini, A, Barbetta, L, Billi, F, Folli, C, Accordino, S, Maira, D, Hu, C, Motta, I, Scaramellini, N, Fracanzani, A, Lombardi, R, Cespiati, A, Cesari, M, Lucchi, T, Proietti, M, Calcaterra, L, Mandelli, C, Coppola, C, Cerizza, A, Pesenti, A, Grasselli, G, Galazzi, A, Nobili., A, Monti, I, Galbussera, A, Crisafulli, E, Girelli, D, Maroccia, A, Gabbiani, D, Busti, F, Vianello, A, Biondan, M, Sartori, F, Faverio, P, Pesci, A, Zucchetti, S, Bonfanti, P, Rossi, M, Beretta, I, Spolti, A, Harari, S, Elia, D, Cassandro, R, Caminati, A, Cipollone, F, Guagnano, M, D’Ardes, D, Rossi, I, Vezzani, F, Spanevello, A, Cherubino, F, Visca, D, Contoli, M, Papi, A, Morandi, L, Battistini, N, Moreo, G, Iannuzzi, P, Fumagalla, D, Leone, S, Lombardi, Andrea, Villa, Simone, Colaneri, Marta, Scaglione, Giovanni, Bai, Francesca, Varisco, Benedetta, Bono, Valeria, Vena, Antonio, Dentone, Chiara, Russo, Chiara, Tettamanti, Mauro, Renisi, Giulia, Viero, Giulia, Azzarà, Cecilia, Mantero, Marco, Peyvandi, Flora, Bassetti, Matteo, Marchetti, Giulia, Muscatello, Antonio, Nobili, Alessandro, Gori, Andrea, Bandera, Alessandra, Bosari, Silvano, Scudeller, Luigia, Fusetti, Giuliana, Rusconi, Laura, Dell’Orto, Silvia, Prati, Daniele, Valenti, Luca, Giovannelli, Silvia, Manunta, Maria, Lamorte, Giuseppe, Ferarri, Francesca, Gori. , Andrea, Mangioni, Davide, Alagna, Laura, Bozzi, Giorgio, Lombardi. , Andrea, Ungaro, Riccardo, Ancona, Giuseppe, Mussa, Marco, Mariani, Bianca Veronica, Bolis, Matteo, Iannotti, Nathalie, Ludovisi, Serena, Comelli, Agnese, Biscarini, Simona, Castelli, Valeria, Palomba, Emanuele, Fava, Marco, Peri, Carlo Alberto, Saltini, Paola, Itri, Teresa, Ferroni, Valentina, Pastore, Valeria, Massafra, Roberta, Liparoti, Arianna, Muheberimana, Toussaint, Giommi, Alessandro, Bianco, Rosaria, Chitani, Grazia Eliana, Bobbio, Chiara, De Matteis, Irene, Bonomi, Angelo Bianchi, Gualtierotti, Roberta, Ferrari, Barbara, Rossio, Raffaella, Boasi, Nadia, Pagliaro, Erica, Massimo, Costanza, De Caro, Michele, Giachi, Andrea, Montano, Nicola, Vigone, Barbara, Bellocchi, Chiara, Carandina, Angelica, Fiorelli, Elisa, Melli, Valerie, Tobaldini, Eleonora, Blasi, Francesco, Aliberti, Stefano, Spotti, Maura, Terranova, Leonardo, Misuraca, Sofia, D’Adda, Alice, Della Fiore, Silvia, Di Pasquale, Marta, Mantero. , Marco, Contarini, Martina, Ori, Margherita, Morlacchi, Letizia, Rossetti, Valeria, Gramegna, Andrea, Pappalettera, Maria, Cavallini, Mirta, Buscemi, Agata, Vicenzi, Marco, Rota, Irena, Costantino, Giorgio, Solbiati, Monica, Furlan, Ludovico, Mancarella, Marta, Colombo, Giulia, Colombo, Giorgio, Fanin, Alice, Passarella, Mariele, Monzani, Valter, Canetta, Ciro, Rovellini, Angelo, Barbetta, Laura, Billi, Filippo, Folli, Christian, Accordino, Silvia, Maira, Diletta, Hu, Cinzia Maria, Motta, Irene, Scaramellini, Natalia, Fracanzani, Anna Ludovica, Lombardi, Rosa, Cespiati, Annalisa, Cesari, Matteo, Lucchi, Tiziano, Proietti, Marco, Calcaterra, Laura, Mandelli, Clara, Coppola, Carlotta, Cerizza, Arturo, Pesenti, Antonio Maria, Grasselli, Giacomo, Galazzi, Alessandro, Nobili. , Alessandro, Monti, Igor, Galbussera, Alessia Antonella, Crisafulli, Ernesto, Girelli, Domenico, Maroccia, Alessio, Gabbiani, Daniele, Busti, Fabiana, Vianello, Alice, Biondan, Marta, Sartori, Filippo, Faverio, Paola, Pesci, Alberto, Zucchetti, Stefano, Bonfanti, Paolo, Rossi, Marianna, Beretta, Ilaria, Spolti, Anna, Harari, Sergio, Elia, Davide, Cassandro, Roberto, Caminati, Antonella, Cipollone, Francesco, Guagnano, Maria Teresa, D’Ardes, Damiano, Rossi, Ilaria, Vezzani, Francesca, Spanevello, Antonio, Cherubino, Francesca, Visca, Dina, Contoli, Marco, Papi, Alberto, Morandi, Luca, Battistini, Nicholas, Moreo, Guido Luigi, Iannuzzi, Pasqualina, Fumagalla, Daniele, and Leone, Sara

Abstract

Background: Despite the well-known efficacy of anti-COVID-19 vaccines in preventing morbidity and mortality, several vaccinated individuals are diagnosed with SARS-CoV-2 breakthrough infection, which might require hospitalisation. This multicentre, observational, and retrospective study aimed to investigate the clinical characteristics and outcomes of vaccinated vs. non-vaccinated patients, both hospitalised with SARS-CoV-2 infection in 3 major hospitals in Northern Italy. Methods: Data collection was retrospective, and paper and electronic medical records of adult patients with a diagnosed SARS-CoV-2 infection were pseudo-anonymised and analysed. Vaccinated and non-vaccinated individuals were manually paired, using a predetermined matching criterion (similar age, gender, and date of hospitalisation). Demographic, clinical, treatment, and outcome data were compared between groups differing by vaccination status using Pearson's Chi-square and Mann-Whitney tests. Moreover, multiple logistic regression analyses were performed to assess the impact of vaccination status on ICU admission or intra-hospital mortality. Results: Data from 360 patients were collected. Vaccinated patients presented with a higher prevalence of relevant comorbidities, like kidney replacement therapy or haematological malignancy, despite a milder clinical presentation at the first evaluation. Non-vaccinated patients required intensive care more often than their vaccinated counterparts (8.8% vs. 1.7%, p = 0.002). Contrariwise, no difference in intra-hospital mortality was observed between the two groups (19% vs. 20%, p = 0.853). These results were confirmed by multivariable logistic regressions, which showed that vaccination was significantly associated with decreased risk of ICU admission (aOR=0.172, 95%CI: 0.039–0.542, p = 0.007), but not of intra-hospital mortality (aOR=0.996, 95%CI: 0.582–1.703, p = 0.987). Conclusions: This study provides real-world data on vaccinated patients hospitalised wit

Published
2024

188. Stoma-free Survival After Rectal Cancer Resection With Anastomotic Leakage: Development and Validation of a Prediction Model in a Large International Cohort

Author

Greijdanus, Nynke G., Wienholts, Kiedo, Ubels, Sander, Talboom, Kevin, Hannink, Gerjon, Wolthuis, Albert, de Lacy, Francisco B., Lefevre, Jérémie H., Solomon, Michael, Frasson, Matteo, Rotholtz, Nicolas, Denost, Quentin, Perez, Rodrigo O., Konishi, Tsuyoshi, Panis, Yves, Rutegård, Martin, Hompes, Roel, Rosman, Camiel, van Workum, Frans, Tanis, Pieter J., de Wilt, Johannes H.W., Bremers, Andreas J.A., Ferenschild, Floris T., de Vriendt, Stefanie, D’Hoore, André, Bislenghi, Gabriele, Farguell, Jordi, Lacy, Antonio M., Atienza, Paula González, van Kessel, Charlotte S., Parc, Yann, Voron, Thibault, Collard, Maxime K., Muriel, Jorge Sancho, Cholewa, Hannia, Mattioni, Laura A., Frontali, Alice, Polle, Sebastiaan W., Polat, Fatih, Obihara, Ndidi J., Vailati, Bruna B., Kusters, Miranda, Tuynmann, Jurriaan B., Hazen, Sanne J.A., Grüter, Alexander A.J., Amano, Takahiro, Fujiwara, Hajime, Salomon, Mario, Ruiz, Hernán, Gonzalez, Ricardo, Estefanía, Diego, Avellaneda, Nicolas, Carrie, Augusto, Santillan, Mateo, Pantoja Pachajoa, Diana A., Parodi, Matias, Gielis, Manuel, Binder, Alf-Dorian, Gürtler, Thomas, Riedl, Peter, Badiani, Sarit, Berney, Christophe, Morgan, Matthew, Hollington, Paul, da Silva, Nigel, Nair, Gavin, Ho, Yiu M., Lamparelli, Michael, Kapadia, Raj, Kroon, Hidde M., Dudi-Venkata, Nagendra N., Liu, Jianliang, Sammour, Tarik, Flamey, Nicolas, Pattyn, Paul, Chaoui, Ahmed, Vansteenbrugge, Louis, van den Broek, Nathalie E.J., Vanclooster, Patrick, de Gheldere, Charles, Pletinckx, Pieter, Defoort, Barbara, Dewulf, Maxime, Slavchev, Mihail, Belev, Nikolay, Atanasov, Boyko, Krastev, Panche, Sokolov, Manol, Maslyankov, Svilen, Gribnev, Petar, Pavlov, Vasil, Ivanov, Tsvetomir, Karamanliev, Martin, Filipov, Emil, Tonchev, Pencho, Aigner, Felix, Mitteregger, Martin, Allmer, Caterina, Seitinger, Gerald, Colucci, Nicola, Buchs, Nicolas, Ris, Frédéric, Toso, Christian, Gialamas, Eleftherios, Vuagniaux, Aurélie, Chautems, Roland, Sauvain, Marc-Olivier, Daester, Silvio, von 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Aalbers, Ernst J., Leeuwenburgh, Marjolein M., Rutten, Harm J.T., Burger, Jacobus W.A., Bloemen, Johanne G., Ketelaers, Stijn H.J., Waqar, Usama, Chawla, Tabish, Rauf, Hareem, Rani, Pallavi, Talsma, Aaldert K., Scheurink, Lieke, van Praagh, Jasper B., Segelman, Josefin, Nygren, Jonas, Anderin, Kajsa, Tiefenthal, Marit, de Andrés, Beatriz, Beltrán de Heredia, Juan P., Vázquez, Andrea, Gómez, Tania, Golshani, Parisa, Kader, Rawaz, Mohamed, Abudi, Westerterp, Marinke, Marinelli, Andreas, Niemer, Quirine, Doornebosch, Pascal G., Shapiro, Joël, Vermaas, Maarten, de Graaf, Eelco J.R., van Westreenen, Hendrik L., Zwakman, Marije, van Dalsen, Annette D., Vles, Wouter J., Nonner, Joost, Toorenvliet, Boudewijn R., Janssen, Paul T.J., Verdaasdonk, Emiel G.G., Amelung, Femke J., Peeters Renu R. 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Published
2023
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193. Application of Qualitative and Quantitative Infrared Thermography at Urban Level: Potential and Limitations

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Tejedor, Blanca, Lucchi, Elena, Nardi, Iole, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Bienvenido-Huertas, David, editor, and Moyano-Campos, Juan, editor

Published
2022
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194. Towards Dynamic Obstacle Avoidance for Robot Manipulators with Deep Reinforcement Learning

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Zindler, Friedemann, Lucchi, Matteo, Wohlhart, Lucas, Pichler, Horst, Hofbaur, Michael, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Müller, Andreas, editor, and Brandstötter, Mathias, editor

Published
2022
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