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3. Improved GRU prediction of paper pulp press variables using different pre-processing methods.

Author

Mateus, Balduíno César, Mendes, Mateus, Torres Farinha, José, Marques Cardoso, António, Assis, Rui, and Soltanali, Hamzeh

Subjects
PAPER pulp, RECURRENT neural networks
Abstract

Predictive maintenance strategies are becoming increasingly more important with the increased needs for automation and digitalization within pulp and paper manufacturing sector. Hence, this study contributes to examine the most efficient pre-processing approaches for predicting sensory data trends based on Gated Recurrent Unit (GRU) neural networks. To validate the model, the data from two paper pulp presses with several pre-processing methods are utilized for predicting the units' conditions. The results of validation criteria show that pre-processing data using a LOWESS in combination with the Elimination of discrepant data filter achieves more stable results, the prediction error decreases, and the predicted values are easier to interpret. The model can anticipate future values with MAPE, RMSE and MAE of 1.2, 0.27 and 0.30 respectively. The errors are below the significance level. Moreover, it is identified that the best hyperparameters found for each paper pulp press must be different. [ABSTRACT FROM AUTHOR]

Published
2023
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6. Health-related quality of life in older patients surviving ICU treatment for COVID-19: results from an international observational study of patients older than 70 years

Author

Soliman, Ivo, Leaver, Susannah, Flaatten, Hans, Fjølner, Jesper, Wernly, Bernhard, Bruno, Raphael, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Wollborn, Jakob, Banzo, Maria Jose Arche, Fuest, Kristina, Marsh, Brian, Andersen, Finn, Moreno, Rui, Boumendil, Ariane, Guidet, Bertrand, Jung, Christian, de Lange, Dylan, Eller, Philipp, Mesotten, Dieter, Reper, Pascal, Swinnen, Walter, Brix, Helene, Brushoej, Jens, Villefrance, Maja, Nedergaard, Helene Korvenius, Bjerregaard, Anders Thais, Balleby, Ida Riise, Andersen, Kasper, Hansen, Maria Aagaard, Uhrenholt, Stine, Bundgaard, Helle, Mohamed, Aliae Ar Hussein, Salah, Rehab, Ali, Yasmin Khairy Nasreldin Mohamed, Wassim, Kyrillos, Elgazzar, Yumna, Tharwat, Samar, Azzam, Ahmed, Habib, Ayman Abdelmawgoad, Abosheaishaa, Hazem Maarouf, Azab, Mohammed, Galbois, Arnaud, Charron, Cyril, Guerot, Emmanuel, Besch, Guillaume, Rigaud, Jean-Philippe, Maizel, Julien, Djibré, Michel, Burtin, Philippe, Garcon, Pierre, Nseir, Saad, Valette, Xavier, Alexandru, Nica, Marin, Nathalie, Vaissiere, Marie, Plantefeve, Gaëtan, Vanderlinden, Thierry, Jurcisin, Igor, Megarbane, Bruno, Caillard, Anais, Valent, Arnaud, Garnier, Marc, Besset, Sebastien, Oziel, Johanna, Raphaelen, Jean-Herlé, Dauger, Stéphane, Dumas, Guillaume, Goncalves, Bruno, Piton, Gaël, Bruno, Raphael Romano, Kelm, Malte, Wolff, Georg, Barth, Eberhard, Goebel, Ulrich, Kunstein, Anselm, Schuster, Michael, Welte, Martin, Lutz, Matthias, Meybohm, Patrick, Steiner, Stephan, Poerner, Tudor, Haake, Hendrik, Schaller, Stefan, Kindgen-Milles, Detlef, Meyer, Christian, Kurt, Muhammed, Kuhn, Karl Friedrich, Randerath, Winfried, Dindane, Zouhir, Kabitz, Hans-Joachim, Voigt, Ingo, Shala, Gonxhe, Faltlhauser, Andreas, Rovina, Nikoletta, Aidoni, Zoi, Chrisanthopoulou, Evangelia, Papadogoulas, Antonios, Gurjar, Mohan, Mahmoodpoor, Ata, Ahmed, Abdullah Khudhur, Elsaka, Ahmed, Comellini, Vittoria, Rabha, Ahmed, Ahmed, Hazem, Namendys-Silva, Silvio, Ghannam, Abdelilah, Groenendijk, Martijn, Zegers, Marieke, Cornet, Alex, Evers, Mirjam, Haas, Lenneke, Dormans, Tom, Dieperink, Willem, Romundstad, Luis, Sjøbø, Britt, Strietzel, Hans Frank, Olasveengen, Theresa, Hahn, Michael, Czuczwar, Miroslaw, Gawda, Ryszard, Klimkiewicz, Jakub, de Lurdessantos, Maria Campos, Gordinho, André, Santos, Henrique, Assis, Rui, Oliveira, Ana Isabel Pinho, Badawy, Mohamed Raafat, Perez-Torres, David, Gomà, Gemma, Villamayor, Mercedes Ibarz, Mira, Angela Prado, Cubero, Patricia Jimeno, Rivera, Susana Arias, Tomasa, Teresa, Iglesias, David, Vázquez, Eric Mayor, Aldecoa, Cesar, Ferreira, Aida Fernández, Zalba-Etayo, Begoña, Canas-Perez, Isabel, Tamayo-Lomas, Luis, Diaz-Rodriguez, Cristina, Sancho, Susana, Priego, Jesús, Abualqumboz, Enas, Hilles, Momin Majed Yousuf, Saleh, Mahmoud, Ben-Hamouda, Nawfel, Roberti, Andrea, Dullenkopf, Alexander, Fleury, Yvan, Pinto, Bernardo Bollen, Al-Sadawi, Mohammed, Serck, Nicolas, Dewaele, Elisabeth, Kumar, Pritpal, Bundesen, Camilla, Innes, Richard, Gooch, James, Cagova, Lenka, Potter, Elizabeth, Reay, Michael, Davey, Miriam, Humphreys, Sally, Berlemont, Caroline Hauw, Chousterman, Benjamin Glenn, Dépret, François, Ferre, Alexis, Vettoretti, Lucie, Thevenin, Didier, Milovanovic, Milena, Simon, Philipp, Lorenz, Marco, Stoll, Sandra Emily, Dubler, Simon, Mulita, Francesk, Kondili, Eumorifa, Andrianopoulos, Ioannis, Meynaar, Iwan, Cornet, Alexander Daniel, Sjøbøe, Britt, Kluzik, Anna, Zatorski, Paweł, Drygalski, Tomasz, Solek-Pastuszka, Joanna, Onichimowski, Dariusz, Stefaniak, Jan, Stefanska-Wronka, Karina, Zabul, Ewa, Cardoso, Filipe Sousa, Banzo, Maria José Arche, Tomasa-Irriguible, Teresa Maria, Mira, Ángela Prado, Arias-Rivera, Susana, Frutos-Vivar, Fernando, Lopez-Cuenca, Sonia, de Gopegui, Pablo Ruiz, Abidi, Nour, Chau, Ivan, Pugh, Richard, Smuts, Sara, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Service de Réanimation Médicale [CHU Saint-Antoine], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Mécanismes physiopathologiques et conséquences des calcifications vasculaires - UR UPJV 7517 (MP3CV), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Bouchard, Mélanie, Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), COVIP-study group, Eller, P., Joannidis, M., Mesotten, D., Reper, P., Oeyen, S., Swinnen, W., Brix, H., Brushoej, J., Villefrance, M., Nedergaard, H.K., Bjerregaard, A.T., Balleby, I.R., Andersen, K., Hansen, M.A., Uhrenholt, S., Bundgaard, H., Fjølner, J., Mohamed, AAH, Salah, R., Ali, YKNM, Wassim, K., Elgazzar, Y.A., Tharwat, S., Azzam, A.Y., Habib, A.A., Abosheaishaa, H.M., Azab, M.A., Leaver, S., Galbois, A., Guidet, B., Charron, C., Guerot, E., Besch, G., Rigaud, J.P., Maizel, J., Djibré, M., Burtin, P., Garcon, P., Nseir, S., Valette, X., Alexandru, N., Marin, N., Vaissiere, M., Plantefeve, G., Vanderlinden, T., Jurcisin, I., Megarbane, B., Caillard, A., Valent, A., Garnier, M., Besset, S., Oziel, J., Raphaelen, J.H., Dauger, S., Dumas, G., Goncalves, B., Piton, G., Jung, C., Bruno, R.R., Kelm, M., Wolff, G., Barth, E., Goebel, U., Kunstein, A., Schuster, M., Welte, M., Lutz, M., Meybohm, P., Steiner, S., Poerner, T., Haake, H., Schaller, S., Kindgen-Milles, D., Meyer, C., Kurt, M., Kuhn, K.F., Randerath, W., Wollborn, J., Dindane, Z., Kabitz, H.J., Voigt, I., Shala, G., Faltlhauser, A., Rovina, N., Aidoni, Z., Chrisanthopoulou, E., Papadogoulas, A., Gurjar, M., Mahmoodpoor, A., Ahmed, A.K., Marsh, B., Elsaka, A., Sviri, S., Comellini, V., Rabha, A., Ahmed, H., Namendys-Silva, S.A., Ghannam, A., Groenendijk, M., Zegers, M., de Lange, D., Cornet, A., Evers, M., Haas, L., Dormans, T., Dieperink, W., Romundstad, L., Sjøbø, B., Andersen, F.H., Strietzel, H.F., Olasveengen, T., Hahn, M., Czuczwar, M., Gawda, R., Klimkiewicz, J., de LurdesSantos, M.C., Gordinho, A., Santos, H., Assis, R., Oliveira, AIP, Badawy, M.R., Perez-Torres, D., Gomà, G., Villamayor, M.I., Mira, A.P., Cubero, P.J., Rivera, S.A., Tomasa, T., Iglesias, D., Vázquez, E.M., Aldecoa, C., Ferreira, A.F., Zalba-Etayo, B., Canas-Perez, I., Tamayo-Lomas, L., Diaz-Rodriguez, C., Sancho, S., Priego, J., Abualqumboz, EMY, Hilles, MMY, Saleh, M., Ben-HAmouda, N., Roberti, A., Dullenkopf, A., Fleury, Y., Pinto, B.B., Schefold, J.C., Al-Sadawi, M., Serck, N., Dewaele, E., Kumar, P., Bundesen, C., Innes, R., Gooch, J., Cagova, L., Potter, E., Reay, M., Davey, M., Humphreys, S., Berlemont, C.H., Chousterman, B.G., Dépret, F., Ferre, A., Vettoretti, L., Thevenin, D., Milovanovic, M., Simon, P., Lorenz, M., Stoll, S.E., Dubler, S., Fuest, K., Mulita, F., Kondili, E., Andrianopoulos, I., Meynaar, I., Cornet, A.D., Sjøbøe, B., Kluzik, A., Zatorski, P., Drygalski, T., Szczeklik, W., Solek-Pastuszka, J., Onichimowski, D., Stefaniak, J., Stefanska-Wronka, K., Zabul, E., Cardoso, F.S., Banzo, MJA, Tomasa-Irriguible, T.M., Mira, Á.P., Arias-Rivera, S., Frutos-Vivar, F., Lopez-Cuenca, S., de Gopegui, P.R., Abidi, N., Chau, I., Pugh, R., and Smuts, S.

Subjects
Aging, Activities of Daily Living, Aged, COVID-19, Humans, Intensive Care Units, Prospective Studies, Quality of Life, SARS-CoV-2, Intensive Care Unit (ICU), Older people, Survival, frailty, [SDV]Life Sciences [q-bio], SOCIETY, 610 Medicine & health, General Medicine, INTENSIVE-CARE, humanities, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], [SDV] Life Sciences [q-bio], Medicine and Health Sciences, Geriatrics and Gerontology
Abstract

Background health-related quality of life (HRQoL) is an important patient-centred outcome in patients surviving ICU admission for COVID-19. It is currently not clear which domains of the HRQoL are most affected. Objective to quantify HRQoL in order to identify areas of interventions. Design prospective observation study. Setting admissions to European ICUs between March 2020 and February 2021. Subjects patients aged 70 years or older admitted with COVID-19 disease. Methods collected determinants include SOFA-score, Clinical Frailty Scale (CFS), number and timing of ICU procedures and limitation of care, Katz Activities of Daily Living (ADL) dependence score. HRQoL was assessed at 3 months after ICU admission with the Euro-QoL-5D-5L questionnaire. An outcome of ≥4 on any of Euro-QoL-5D-5L domains was considered unfavourable. Results in total 3,140 patients from 14 European countries were included in this study. Three months after inclusion, 1,224 patients (39.0%) were alive and the EQ-5D-5L from was obtained. The CFS was associated with an increased odds ratio for an unfavourable HRQoL outcome after 3 months; OR 1.15 (95% confidence interval (CI): 0.71–1.87) for CFS 2 to OR 4.33 (95% CI: 1.57–11.9) for CFS ≧ 7. The Katz ADL was not statistically significantly associated with HRQoL after 3 months. Conclusions in critically ill old intensive care patients suffering from COVID-19, the CFS is associated with the subjectively perceived quality of life. The CFS on admission can be used to inform patients and relatives on the risk of an unfavourable qualitative outcome if such patients survive.

Published
2022
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8. The association of the Activities of Daily Living and the outcome of old intensive care patients suffering from COVID-19

Author

Bruno, Raphael Romano, Wernly, Bernhard, Flaatten, Hans, Fjølner, Jesper, Artigas, Antonio, Baldia, Philipp Heinrich, Binneboessel, Stephan, Bollen Pinto, Bernardo, Schefold, Joerg C., Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Kondili, Eumorfia, Marsh, Brian, Wollborn, Jakob, Andersen, Finn H., Moreno, Rui, Leaver, Susannah, Boumendil, Ariane, De Lange, Dylan W., Guidet, Bertrand, Jung, Christian, Eller, Philipp, Mesotten, Dieter, Reper, Pascal, Swinnen, Walter, Serck, Nicolas, Dewaele, Elisabeth, Brix, Helene, Brushoej, Jens, Kumar, Pritpal, Nedergaard, Helene Korvenius, Balleby, Ida Riise, Bundesen, Camilla, Hansen, Maria Aagaard, Uhrenholt, Stine, Bundgaard, Helle, Gooch, James, Cagova, Lenka, Potter, Elizabeth, Reay, Michael, Davey, Miriam, Abusayed, Mohammed Abdelshafy, Humphreys, Sally, Galbois, Arnaud, Charron, Cyril, Berlemont, Caroline Hauw, Besch, Guillaume, Rigaud, Jean-Philippe, Maizel, Julien, Djibré, Michel, Burtin, Philippe, Garcon, Pierre, Nseir, Saad, Valette, Xavier, Alexandru, Nica, Marin, Nathalie, Vaissiere, Marie, Plantefeve, Gaëtan, Vanderlinden, Thierry, Jurcisin, Igor, Megarbane, Buno, Chousterman, Benjamin Glenn, Dépret, François, Garnier, Marc, Besset, Sebastien, Oziel, Johanna, Ferre, Alexis, Dauger, Stéphane, Dumas, Guillaume, Goncalves, Bruno, Vettoretti, Lucie, Thevenin, Didier, Schaller, Stefan, Kurt, Muhammed, Faltlhauser, Andreas, Meyer, Christian, Milovanovic, Milena, Lutz, Matthias, Shala, Gonxhe, Haake, Hendrik, Randerath, Winfried, Kunstein, Anselm, Meybohm, Patrick, Steiner, Stephan, Barth, Eberhard, Poerner, Tudor, Simon, Philipp, Lorenz, Marco, Dindane, Zouhir, Kuhn, Karl Friedrich, Welte, Martin, Voigt, Ingo, Kabitz, Hans-Joachim, Goebel, Ulrich, Stoll, Sandra Emily, Kindgen-Milles, Detlef, Dubler, Simon, Fuest, Kristina, Schuster, Michael, Papadogoulas, Antonios, Mulita, Francesk, Rovina, Nikoletta, Aidoni, Zoi, Chrisanthopoulou, Evangelia, Andrianopoulos, Ioannis, Groenendijk, Martijn, Evers, Mirjam, van Lelyveld-Haas, Lenneke, Meynaar, Iwan, Cornet, Alexander Daniel, Zegers, Marieke, Dieperink, Willem, Dormans, Tom, Hahn, Michael, Sjøbøe, Britt, Strietzel, Hans Frank, Olasveengen, Theresa, Romundstad, Luis, Kluzik, Anna, Zatorski, Paweł, Drygalski, Tomasz, Klimkiewicz, Jakub, Solek-pastuszka, Joanna, Onichimowski, Dariusz, Czuczwar, Miroslaw, Gawda, Ryszard, Stefaniak, Jan, Stefanska-Wronka, Karina, Zabul, Ewa, Oliveira, Ana Isabel Pinho, Assis, Rui, de Lurdes Campos Santos, Maria, Santos, Henrique, Cardoso, Filipe Sousa, Gordinho, André, Banzo, Maria José Arche, Zalba-Etayo, Begoña, Cubero, Patricia Patricia, Priego, Jesús, Gomà, Gemma, Tomasa-Irriguible, Teresa Maria, Sancho, Susana, Ferreira, Aida Fernández, Vázquez, Eric Mayor, Mira, Ángela Prado, Ibarz, Mercedes, Iglesias, David, Arias-Rivera, Susana, Frutos-Vivar, Fernando, Lopez-Cuenca, Sonia, Aldecoa, Cesar, Perez-Torres, David, Canas-Perez, Isabel, Tamayo-Lomas, Luis, Diaz-Rodriguez, Cristina, de Gopegui, Pablo Ruiz, Ben-Hamouda, Nawfel, Roberti, Andrea, Fleury, Yvan, Abidi, Nour, Chau, Ivan, Dullenkopf, Alexander, Pugh, Richard, Smuts, Sara, COVIP study group, [missing], Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), COVIP study group, Eller, P., Joannidis, M., Mesotten, D., Reper, P., Oeyen, S., Swinnen, W., Serck, N., Dewaele, E., Brix, H., Brushoej, J., Kumar, P., Nedergaard, H.K., Balleby, I.R., Bundesen, C., Hansen, M.A., Uhrenholt, S., Bundgaard, H., Fjølner, J., Gooch, J., Cagova, L., Potter, E., Reay, M., Davey, M., Abusayed, M.A., Humphreys, S., Galbois, A., Guidet, B., Charron, C., Berlemont, C.H., Besch, G., Rigaud, J.P., Maizel, J., Djibré, M., Burtin, P., Garcon, P., Nseir, S., Valette, X., Alexandru, N., Marin, N., Vaissiere, M., Plantefeve, G., Vanderlinden, T., Jurcisin, I., Megarbane, B., Chousterman, B.G., Dépret, F., Garnier, M., Besset, S., Oziel, J., Ferre, A., Dauger, S., Dumas, G., Goncalves, B., Vettoretti, L., Thevenin, D., Schaller, S., Kurt, M., Faltlhauser, A., Meyer, C., Milovanovic, M., Lutz, M., Shala, G., Haake, H., Randerath, W., Kunstein, A., Meybohm, P., Steiner, S., Barth, E., Poerner, T., Simon, P., Lorenz, M., Dindane, Z., Kuhn, K.F., Welte, M., Voigt, I., Kabitz, H.J., Wollborn, J., Goebel, U., Stoll, S.E., Kindgen-Milles, D., Dubler, S., Jung, C., Fuest, K., Schuster, M., Papadogoulas, A., Mulita, F., Rovina, N., Aidoni, Z., Chrisanthopoulou, E., Kondili, E., Andrianopoulos, I., Groenendijk, M., Evers, M., van Lelyveld-Haas, L., Meynaar, I., Cornet, A.D., Zegers, M., Dieperink, W., De Lange, D.W., Dormans, T., Hahn, M., Sjøbøe, B., Strietzel, H.F., Olasveengen, T., Romundstad, L., Andersen, F.H., Kluzik, A., Zatorski, P., Drygalski, T., Szczeklik, W., Klimkiewicz, J., Solek-Pastuszka, J., Onichimowski, D., Czuczwar, M., Gawda, R., Stefaniak, J., Stefanska-Wronka, K., Zabul, E., Oliveira, AIP, Assis, R., de Lurdes Campos Santos, M., Santos, H., Cardoso, F.S., Gordinho, A., Banzo, MJA, Zalba-Etayo, B., Cubero, P.P., Priego, J., Gomà, G., Tomasa-Irriguible, T.M., Sancho, S., Ferreira, A.F., Vázquez, E.M., Mira, Á.P., Ibarz, M., Iglesias, D., Arias-Rivera, S., Frutos-Vivar, F., Lopez-Cuenca, S., Aldecoa, C., Perez-Torres, D., Canas-Perez, I., Tamayo-Lomas, L., Diaz-Rodriguez, C., de Gopegui, P.R., Ben-Hamouda, N., Roberti, A., Fleury, Y., Abidi, N., Schefold, J.C., Chau, I., Dullenkopf, A., Pugh, R., and Smuts, S.

Subjects
IMPACT, MORTALITY, ICU, Medicine and Health Sciences, ILL ELDERLY-PATIENTS, 610 Medicine & health, ddc:610, Critical Care and Intensive Care Medicine, 610 Medizin und Gesundheit, FRAILTY, human activities, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18]
Abstract

Open Access funding enabled and organized by Projekt DEAL. This study was endorsed by the ESICM. Free support for running the electronic database and was granted from the dep. of Epidemiology, University of Aarhus, Denmark. Bruno et al. Annals of Intensive Care (2022) 12:26 Page 10 of 11 The support of the study in France by a grant from Fondation Assistance Publique-Hôpitaux de Paris pour la recherche is greatly appreciated. In Norway, the study was supported by a grant from the Health Region West. In addition, the study was supported by a grant from the European Open Science Cloud (EOSC). EOSCsecretariat.eu has received funding from the European Union’s Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant agreement number 831644. This work was supported by the Collaborative Research Center SFB 1116 (German Research Foundation, DFG) and by the Forschungskommission of the Medical Faculty of the Heinrich-Heine-University Düsseldorf and No. 2020–21 to RRB for a Clinician Scientist Track. No (industry) sponsorship has been received for this investigator-initiated study. PURPOSE: Critically ill old intensive care unit (ICU) patients suffering from Sars-CoV-2 disease (COVID-19) are at increased risk for adverse outcomes. This post hoc analysis investigates the association of the Activities of Daily Living (ADL) with the outcome in this vulnerable patient group. METHODS: The COVIP study is a prospective international observational study that recruited ICU patients ≥ 70 years admitted with COVID-19 (NCT04321265). Several parameters including ADL (ADL; 0 = disability, 6 = no disability), Clinical Frailty Scale (CFS), SOFA score, intensive care treatment, ICU- and 3-month survival were recorded. A mixed-effects Weibull proportional hazard regression analyses for 3-month mortality adjusted for multiple confounders. RESULTS: This pre-specified analysis included 2359 patients with a documented ADL and CFS. Most patients evidenced independence in their daily living before hospital admission (80% with ADL = 6). Patients with no frailty and no disability showed the lowest, patients with frailty (CFS ≥ 5) and disability (ADL

Published
2022
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9. Noninvasive ventilation in COVID-19 patients aged ≥ 70 years—a prospective multicentre cohort study

Author

Polok, Kamil, Fronczek, Jakub, Artigas, Antonio, Flaatten, Hans, Guidet, Bertrand, De Lange, Dylan W., Fjølner, Jesper, Leaver, Susannah, Beil, Michael, Sviri, Sigal, Bruno, Raphael Romano, Wernly, Bernhard, Bollen Pinto, Bernardo, Schefold, Joerg C., Studzińska, Dorota, Joannidis, Michael, Oeyen, Sandra, Marsh, Brian, Andersen, Finn H., Moreno, Rui, Cecconi, Maurizio, Jung, Christian, Szczeklik, Wojciech, Eller, Philipp, Mesotten, Dieter, Reper, Pascal, Swinnen, Walter, Brix, Helene, Brushoej, Jens, Villefrance, Maja, Nedergaard, Helene Korvenius, Bjerregaard, Anders Thais, Balleby, Ida Riise, Andersen, Kasper, Hansen, Maria Aagaard, Uhrenholt, Stine, Bundgaard, Helle, Hussein, Aliae A. R. Mohamed, Salah, Rehab, Ali, Yasmin Khairy NasrEldin Mohamed, Wassim, Kyrillos, Elgazzar, Yumna A., Tharwat, Samar, Azzam, Ahmed Y., habib, Ayman abdelmawgoad, Abosheaishaa, Hazem Maarouf, Azab, Mohammed A., Galbois, Arnaud, Charron, Cyril, Guerot, Emmanuel, Besch, Guillaume, Rigaud, Jean-Philippe, Maizel, Julien, Djibré, Michel, Burtin, Philippe, Garcon, Pierre, Nseir, Saad, Valette, Xavier, Alexandru, Nica, Marin, Nathalie, Vaissiere, Marie, Plantefeve, Gaëtan, Vanderlinden, Thierry, Jurcisin, Igor, Megarbane, Buno, Caillard, Anais, Valent, Arnaud, Garnier, Marc, Besset, Sebastien, Oziel, Johanna, RAPHALEN, Jean-herlé, Dauger, Stéphane, Dumas, Guillaume, Goncalves, Bruno, Piton, Gaël, Barth, Eberhard, Goebel, Ulrich, Kunstein, Anselm, Schuster, Michael, Welte, Martin, Lutz, Matthias, Meybohm, Patrick, Steiner, Stephan, Poerner, Tudor, Haake, Hendrik, Schaller, Stefan, Kindgen-Milles, Detlef, Meyer, Christian, Kurt, Muhammed, Kuhn, Karl Friedrich, Randerath, Winfried, Wollborn, Jakob, Dindane, Zouhir, Kabitz, Hans-Joachim, Voigt, Ingo, Shala, Gonxhe, Faltlhauser, Andreas, Rovina, Nikoletta, Aidoni, Zoi, Chrisanthopoulou, Evangelia, Papadogoulas, Antonios, Gurjar, Mohan, Mahmoodpoor, Ata, Ahmed, Abdullah khudhur, Elsaka, Ahmed, Comellini, Vittoria, Rabha, Ahmed, Ahmed, Hazem, Namendys-Silva, Silvio A., Ghannam, Abdelilah, Groenendijk, Martijn, Zegers, Marieke, de Lange, Dylan, Cornet, Alex, Evers, Mirjam, Haas, Lenneke, Dormans, Tom, Dieperink, Willem, Romundstad, Luis, Sjøbø, Britt, Strietzel, Hans Frank, Olasveengen, Theresa, Hahn, Michael, Czuczwar, Miroslaw, Gawda, Ryszard, Klimkiewicz, Jakub, de Lurdes Campos Santos, Maria, Gordinho, André, Santos, Henrique, Assis, Rui, Oliveira, Ana Isabel Pinho, Badawy, Mohamed Raafat, Perez-Torres, David, Gomà, Gemma, Villamayor, Mercedes Ibarz, Mira, Angela Prado, Cubero, Patricia Jimeno, Rivera, Susana Arias, Tomasa, Teresa, Iglesias, David, Vázquez, Eric Mayor, Aldecoa, Cesar, Ferreira, Aida Fernández, Zalba-Etayo, Begoña, Canas-Perez, Isabel, Tamayo-Lomas, Luis, Diaz-Rodriguez, Cristina, Sancho, Susana, Priego, Jesús, Abualqumboz, Enas M. Y., Hilles, Momin Majed Yousuf, Saleh, Mahmoud, Ben-HAmouda, Nawfel, Roberti, Andrea, Dullenkopf, Alexander, Fleury, Yvan, Al-Sadawi, Mohammed, COVIP Study Group, [missing], and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)

Subjects
Male, Noninvasive Ventilation, Frailty, COVID-19, 610 Medicine & health, Critical Care and Intensive Care Medicine, Noninvasive Ventilation/adverse effects, Respiration, Artificial, Healthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18], Cohort Studies, Intensive Care Units, Respiratory Insufficiency/therapy, Elderly, Medicine and Health Sciences, Humans, Intensive care unit, Female, Prospective Studies, 610 Medizin und Gesundheit, Respiratory Insufficiency, Noninvasive ventilation, Pandemics, COVID-19/therapy, Aged
Abstract

Background Noninvasive ventilation (NIV) is a promising alternative to invasive mechanical ventilation (IMV) with a particular importance amidst the shortage of intensive care unit (ICU) beds during the COVID-19 pandemic. We aimed to evaluate the use of NIV in Europe and factors associated with outcomes of patients treated with NIV. Methods This is a substudy of COVIP study—an international prospective observational study enrolling patients aged ≥ 70 years with confirmed COVID-19 treated in ICU. We enrolled patients in 156 ICUs across 15 European countries between March 2020 and April 2021.The primary endpoint was 30-day mortality. Results Cohort included 3074 patients, most of whom were male (2197/3074, 71.4%) at the mean age of 75.7 years (SD 4.6). NIV frequency was 25.7% and varied from 1.1 to 62.0% between participating countries. Primary NIV failure, defined as need for endotracheal intubation or death within 30 days since ICU admission, occurred in 470/629 (74.7%) of patients. Factors associated with increased NIV failure risk were higher Sequential Organ Failure Assessment (SOFA) score (OR 3.73, 95% CI 2.36–5.90) and Clinical Frailty Scale (CFS) on admission (OR 1.46, 95% CI 1.06–2.00). Patients initially treated with NIV (n = 630) lived for 1.36 fewer days (95% CI − 2.27 to − 0.46 days) compared to primary IMV group (n = 1876). Conclusions Frequency of NIV use varies across European countries. Higher severity of illness and more severe frailty were associated with a risk of NIV failure among critically ill older adults with COVID-19. Primary IMV was associated with better outcomes than primary NIV. Clinical Trial RegistrationNCT04321265, registered 19 March 2020, https://clinicaltrials.gov.

Published
2022
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10. Forecasting Steel Production in the World—Assessments Based on Shallow and Deep Neural Networks.

Author

Mateus, Balduíno César, Mendes, Mateus, Farinha, José Torres, Cardoso, António J. Marques, Assis, Rui, and da Costa, Lucélio M.

Subjects
CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, RECURRENT neural networks, STEEL, FORECASTING, DECISION making, MACHINE learning
Abstract

Forecasting algorithms have been used to support decision making in companies, and it is necessary to apply approaches that facilitate a good forecasting result. The present paper describes assessments based on a combination of different neural network models, tested to forecast steel production in the world. The main goal is to find the best machine learning model that fits the steel production data in the world to make a forecast for a nine-year period. The study is important for understanding the behavior of the models and sensitivity to hyperparameters of convolutional LSTM and GRU recurrent neural networks. The results show that for long-term prediction, the GRU model is easier to train and provides better results. The article contributes to the validation of the use of other variables that are correlated with the steel production variable, thus increasing forecast accuracy. [ABSTRACT FROM AUTHOR]

Published
2023
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13. The impact of frailty on survival in elderly intensive care patients with COVID-19: the COVIP study

Author

Jung, Christian, Flaatten, Hans, Fjølner, Jesper, Bruno, Raphael Romano, Wernly, Bernhard, Artigas, Antonio, Bollen Pinto, Bernardo, Schefold, Joerg, Wolff, Georg, Kelm, Malte, Beil, Michael, Sviri, Sigal, van Heerden, Peter Vernon, Szczeklik, Wojciech, Czuczwar, Miroslaw, Elhadi, Muhammed, Joannidis, Michael, Oeyen, Sandra, Zafeiridis, Tilemachos, Marsh, Brian, Andersen, Finn, Moreno, Rui, Cecconi, Maurizio, Leaver, Susannah, Boumendil, Ariane, de Lange, Dylan, Guidet, Bertrand, Abosheaishaa, Hazem Maarouf, Abualqumboz, Enas, Ahmed, Abdullah Khudhur, Ahmed, Hazem, Aidoni, Zoi, Aldecoa, Cesar, Alexandru, Nica, Ali, Yasmin Khairy Nasreldin Mohamed, Al-Sadawi, Mohammed, Andersen, Kasper, Assis, Rui, Azab, Mohammed, Azzam, Ahmed, Badawy, Mohamed Raafat, Balleby, Ida Riise, Barth, Eberhard, Ben-Hamouda, Nawfel, Besch, Guillaume, Besset, Sebastien, Bjerregaard, Anders Thais, Brix, Helene, Brushoej, Jens, Bundgaard, Helle, Burtin, Philippe, Caillard, Anais, Canas-Perez, Isabel, Charron, Cyril, Chrisanthopoulou, Evangelia, Comellini, Vittoria, Cornet, Alex, Cubero, Patricia Jimeno, Dauger, Stéphane, Diaz-Rodriguez, Cristina, Dieperink, Willem, Dindane, Zouhir, Djibré, Michel, Dormans, Tom, Dullenkopf, Alexander, Dumas, Guillaume, Elgazzar, Yumna, Eller, Philipp, Elsaka, Ahmed, Evers, Mirjam, Faltlhauser, Andreas, Ferreira, Aida Fernández, Fleury, Yvan, Galbois, Arnaud, Garcon, Pierre, Garnier, Marc, Gawda, Ryszard, Ghannam, Abdelilah, Goebel, Ulrich, Gomà, Gemma, Goncalves, Bruno, Gordinho, André, Groenendijk, Martijn, Guerot, Emmanuel, Gurjar, Mohan, Haake, Hendrik, Haas, Lenneke, Habib, Ayman Abdelmawgoad, Hahn, Michael, Hansen, Maria Aagaard, Hilles, Momin Majed Yousuf, Hussein, Aliae, Iglesias, David, Jurcisin, Igor, Kabitz, Hans-Joachim, Kindgen-Milles, Detlef, Klimkiewicz, Jakub, Kuhn, Karl Friedrich, Kunstein, Anselm, Kurt, Muhammed, Lutz, Matthias, Mahmoodpoor, Ata, Maizel, Julien, Marin, Nathalie, Megarbane, Buno, Mesotten, Dieter, Meybohm, Patrick, Meyer, Christian, Mira, Angela Prado, Namendys-Silva, Silvio, Nedergaard, Helene Korvenius, Nseir, Saad, Olasveengen, Theresa, Oliveira, Ana Isabel Pinho, Oziel, Johanna, Papadogoulas, Antonios, Perez-Torres, David, Piton, Gaël, Plantefeve, Gaëtan, Poerner, Tudor, Priego, Jesús, Rabha, Ahmed, Randerath, Winfried, Raphaelen, Jean-Herlé, Reper, Pascal, Rigaud, Jean-Philippe, Rivera, Susana Arias, Roberti, Andrea, Romundstad, Luis, Rovina, Nikoletta, Salah, Rehab, Saleh, Mahmoud, Sancho, Susana, de Lurdes Campos Santos, Maria, Santos, Henrique, Schaller, Stefan, Schuster, Michael, Shala, Gonxhe, Sjøbø, Britt, Steiner, Stephan, Strietzel, Hans Frank, Swinnen, Walter, Tamayo-Lomas, Luis, Tharwat, Samar, Tomasa, Teresa, Uhrenholt, Stine, Vaissiere, Marie, Valent, Arnaud, Valette, Xavier, Vanderlinden, Thierry, Vázquez, Eric Mayor, Villamayor, Mercedes Ibarz, Villefrance, Maja, Voigt, Ingo, Wassim, Kyrillos, Welte, Martin, Wollborn, Jakob, Zalba-Etayo, Begoña, Zegers, Marieke, Mégarbane, Bruno, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Mécanismes physiopathologiques et conséquences des calcifications vasculaires - UR UPJV 7517 (MP3CV), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, Service de Réanimation Médicale et Toxicologique [Hôpital Lariboisière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), and COVIP study group

Subjects
[SDV.TOX] Life Sciences [q-bio]/Toxicology, [SDV.MHEP.ME] Life Sciences [q-bio]/Human health and pathology/Emerging diseases, [SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.TOX]Life Sciences [q-bio]/Toxicology, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, [SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract, [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system
Abstract

Auteurs : COVIP study group; International audience; Background The COVID-19 pandemic has led highly developed healthcare systems to the brink of collapse due to the large numbers of patients being admitted into hospitals. One of the potential prognostic indicators in patients with COVID-19 is frailty. The degree of frailty could be used to assist both the triage into intensive care, and decisions regarding treatment limitations. Our study sought to determine the interaction of frailty and age in elderly COVID-19 ICU patients. Methods A prospective multicentre study of COVID-19 patients ≥ 70 years admitted to intensive care in 138 ICUs from 28 countries was conducted. The primary endpoint was 30-day mortality. Frailty was assessed using the clinical frailty scale. Additionally, comorbidities, management strategies and treatment limitations were recorded. Results The study included 1346 patients (28% female) with a median age of 75 years (IQR 72–78, range 70–96), 16.3% were older than 80 years, and 21% of the patients were frail. The overall survival at 30 days was 59% (95% CI 56–62), with 66% (63–69) in fit, 53% (47–61) in vulnerable and 41% (35–47) in frail patients ( p

Published
2021
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14. Streptococcus oralis Meningitis

Author

Cardoso, João, additional, Ferreira, David, additional, Assis, Rui, additional, Monteiro, Joana, additional, Coelho, Inês, additional, Real, André, additional, and Catorze, Nuno, additional

Published
2021
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15. Lactate is associated with mortality in very old intensive care patients suffering from COVID-19: results from an international observational study of 2860 patients

Author

Bruno, Raphael Romano, Wernly, Bernhard, Flaatten, Hans, Artigas, Antonio, Bollen Pinto, Bernardo, Binnebössel, Stephan, Baldia, Philipp Heinrich, Kelm, Malte, Beil, Michael, Sigal, Sivri, van Heerden, Peter Vernon, Elhadi, Muhammed, Zafeiridis, Tilemachos, Arche Banzo, Maria José, Moreno, Rui, Boumendil, Ariane, De Lange, Dylan W., Eller, Philipp, Joannidis, Michael, Mesotten, Dieter, Reper, Pascal, Oeyen, Sandra, Swinnen, Walter, Serck, Nicolas, Dewaele, Elisabeth, Chapeta, Edwin, Brix, Helene, Brushoej, Jens, Kumar, Pritpal, Nedergaard, Helene Korvenius, Johnsen, Tim Koch, Bundesen, Camilla, Hansen, Maria Aagaard, Uhrenholt, Stine, Bundgaard, Helle, Fjølner, Jesper, Innes, Richard, Gooch, James, Cagova, Lenka, Potter, Elizabeth, Reay, Michael, Davey, Miriam, Abusayed, Mohammed Abdelshafy, Humphreys, Sally, Collins, Amy, Aujayeb, Avinash, Leaver, Susannah, Khaliq, Waqas, Habib, Ayman Abdelmawgoad, Azab, Mohammed A., Wassim, Kyrillos, Elgazzar, Yumna A., Salah, Rehab, Abosheaishaa, Hazem Maarouf, Hussein Mohamed, Aliae A. R., Azzam, Ahmed Y., Tharwat, Samar, Ali, Yasmin Khairy Nasreldin Mohamed, Elmandouh, Omar, Galal, Islam, Abu-Elfatth, Ahmed, Motawea, Karam, Elbahnasawy, Mohammad, Shehata, Mostafa, Elbahnasawy, Mohamed, Tayeb, Mostafa, Osman, Nermin, Abdel-Elsalam, Wafaa, Hussein, Aliae Mohamed, Aldhalia, Amer, Galbois, Arnaud, Guidet, Bertrand, Charron, Cyril, Berlemont, Caroline Hauw, Besch, Guillaume, Rigaud, Jean-Philippe, Maizel, Julien, Djibré, Michel, Burtin, Philippe, Garcon, Pierre, Nseir, Saad, Valette, Xavier, Alexandru, Nica, Marin, Nathalie, Vaissiere, Marie, Plantefeve, Gaëtan, Mentec, Hervé, Vanderlinden, Thierry, Jurcisin, Igor, Megarbane, Buno, Chousterman, Benjamin Glenn, Dépret, François, Garnier, Marc, Besset, Sebastien, Oziel, Johanna, Ferre, Alexis, Dauger, Stéphane, Dumas, Guillaume, Goncalves, Bruno, Vettoretti, Lucie, Thevenin, Didier, Schaller, Stefan, Kurt, Muhammed, Faltlhauser, Andreas, Meyer, Christian, Milovanovic, Milena, Lutz, Matthias, Shala, Gonxhe, Haake, Hendrik, Randerath, Winfried, Kunstein, Anselm, Meybohm, Patrick, Barth, Eberhard, Poerner, Tudor, Simon, Philipp, Lorenz, Marco, Dindane, Zouhir, Kuhn, Karl Friedrich, Welte, Martin, Voigt, Ingo, Kabitz, Hans-Joachim, Wollborn, Jakob, Goebel, Ulrich, Stoll, Sandra Emily, Kindgen-Milles, Detlef, Dubler, Simon, Jung, Christian, Fuest, Kristina, Schuster, Michael, Steiner, Stephan, Papadogoulas, Antonios, Mulita, Francesk, Rovina, Nikoletta, Aidoni, Zoi, Chrisanthopoulou, Evangelia, Kondili, Eumorfia, Andrianopoulos, Ioannis, Gurjar, Mohan, Mahmoodpoor, Ata, Hussein, Rand, Al-Juaifari, Maytham Aqeel, Karantenachy, Abdullah Khudhur Ahmed, Sviri, Sigal, Elsaka, Ahmed, Marsh, Brian, Comellini, Vittoria, Al-Ali, Farah, Almani, Sari, Khamees, Almu' Atasim, Al-Shami, Khayry, El Din, Ibrahim Salah, Abubaker, Taha, Ahmed, Hazem, Rabha, Ahmed, Emhamed, Marwa, Abdeewi, Saedah, Abusalama, Abdurraouf, Alhadi, Abdulmueti, Huwaysh, Mohammed, Alghati, Esraa Abdalqader, Ghannam, Abdelilah, Namendys-Sylva, Silvio A., Groenendijk, Martijn, Evers, Mirjam, Van Lelyveld-Haas, Lenneke, Meynaar, Iwan, Cornet, Alexander Daniel, Zegers, Marieke, Dieperink, Willem, De Lange, Dylan, Dormans, Tom, Hahn, Michael, Sjøbøe, Britt, Strietzel, Hans Frank, Olasveengen, Theresa, Romundstad, Luis, Andersen, Finn H., Massoud, John George Grace, Khan, Aamir Ghafoor, Al-Qasrawi, Shahd, Amro, Sarah, Kluzik, Anna, Zatorski, Pawel, Drygalski, Tomasz, Szczeklik, Wojciech, Klimkiewicz, Jakub, Solek-Pastuszka, Joanna, Onichimowski, Dariusz, Czuczwar, Miroslaw, Gawda, Ryszard, Stefaniak, Jan, Stefanska-Wronka, Karina, Zabul, Ewa, Oliveira, Ana Isabel Pinho, Assis, Rui, De Lurdes Campos Santos, Maria, Santos, Henrique, Cardoso, Filipe Sousa, Gordinho, André, Grintescu, Ioana Marina, Tomescu, Dana, Badawy, Mohamed Raafat, José Arche Banzo, M., Zalba-Etayo, Begoña, Cubero, Patricia Jimeno, Priego, Jesús, Gomà, Gemma, Tomasa-Irriguible, Teresa Maria, Sancho, Susana, Ferreira, Aida Fernández, Vázquez, Eric Mayor, Mira, Ángela Prado, Ibarz, Mercedes, Iglesias, David, Arias-Rivera, Susana, Frutos-Vivar, Fernando, Lopez-Cuenca, Sonia, Aldecoa, Cesar, Perez-Torres, David, Canas-Perez, Isabel, Tamayo-Lomas, Luis, Diaz-Rodriguez, Cristina, De Gopegui, Pablo Ruiz, Saleh, Mahmoud, Hilles, Momin Majed Yousuf, Abualqumboz, Enas M. Y., Ben-Hamouda, Nawfel, Roberti, Andrea, Fleury, Yvan, Abidi, Nour, Schefold, Joerg C., Chau, Ivan, Dullenkopf, Alexander, Chaaban, Mohammad Karam, Shebani, Mohammed Mouaz, Hmaideh, Ahmad, Shaher, Aymen, Sahin, Ayca Sultan, Saracoglu, Kemal Tolga, Al-Sadawi, Mohammed, Pugh, Richard, Smuts, Sara, and Al-Saban, Rafat Ameen Mohammed

Subjects
Research, Intensive / Critical Care Medicine, Emergency Medicine, Anesthesiology, ddc
Published
2020

27. Economic Optimization of the Inspection Period for Sensors with Hidden Failures: A Monte Carlo Simulation Approach.

Author

Mateus, Ricardo J. G., Assis, Rui, Rodrigues, João A., and Marques, P. Carmona

Subjects
INDUSTRIAL equipment, MONTE Carlo method, PROBABILITY theory, ELECTRIC utilities
Abstract

Failure of critical industrial equipment can have high stake negative impacts for industrial operations. Systematic preventive maintenance is a widely used technique to assess the condition of such equipment, including its potential failure. However, carrying out regular shutdowns on a critical equipment for inspections incur costs and potential production losses during the downtime period. Consequently, detection devices, such as sensors, are often used for monitoring the condition of critical equipment. These sensors can issue early warnings upon the occurrence of functional failures in the protected equipment or even anticipate potential failures. Promptly action can then be carried out to repair or replace the failed critical equipment to mitigate its consequences. Failure detection sensors are not immune to their own failures though. Sometimes, the functional failure of the sensor is immediately detected, other times it remains hidden and goes unnoticed until it manifests through more serious consequences, such as a breakdown in the protected equipment, which can lead to long recovery times and significant repair costs. Therefore, it is essential to periodically inspect the proper functioning of condition monitoring sensors to uncover any hidden failures, namely through in-place or laboratory testing. This study presents an economic optimization approach, using a discrete-event Monte Carlo simulation method implemented in a Microsoft Excel application, to determine the optimal inspection periodicity for sensors subject to hidden failures. Each simulation run computes the equivalent uniform periodic cost for any inspection period for the sensor, considering the following inputs: inspection cost and time, probability distributions for failure times of the equipment and sensor, repair costs and times, and the reactivation cost and time following a system failure. From these inputs, the optimal inspection period is determined by running multiple simulations for varying regular inspection periods and selecting as optimal the one that minimizes the expected equivalent uniform periodic cost of the system. The approach was developed specifically for the major Portuguese electric utilities company, replacing previously used empirical formulas that did not factor in economic costs. The application of the methodology is supported by a user-friendly interface implemented in Microsoft Excel and Visual Basic for Applications and illustrated through a case study. The decision support system facilitates the selection of the economically optimal inspection period for the sensor based on its expected equivalent uniform periodic cost. Furthermore, it provides additional descriptive statistics on the expected performance of the system, including availability and reliability metrics. The optimization-simulation approach presented in this article provides significant advantages over common analytical methods, which often rely on unrealistic simplifying assumptions, particularly for modeling complex maintenance systems. Overall, it proves to be a valuable contribution to the maintenance literature for making informed decisions regarding the definition of regular inspection periods for sensors with hidden failures while monitoring the condition of critical industrial equipment. [ABSTRACT FROM AUTHOR]

Published
2023

30. Sistema de avaliação do desempenho da gestão : aplicação no contexto do Serviço de Medicina Nuclear do Hospital Garcia de Orta, E.P.E

Author

Ferreira, Patrícia de Castilho Bacelar, Assis, Rui, and Santos, Ana Isabel

Subjects
Performance assessment, Serviço de Medicina Nuclear, Analitycal hierarchy process, Nuclear Medicine Service, Engenharia e Tecnologia::Outras Engenharias e Tecnologias [Domínio/Área Científica], Balanced scorecard, Metric-merit conversion, Avaliação do desempenho
Abstract

Submitted by Isabel Gomes (itg@lisboa.ucp.pt) on 2014-11-14T12:38:36Z No. of bitstreams: 1 Dissertação_Final.pdf: 2246122 bytes, checksum: e362d062e3c9c122efdca202a319482a (MD5) Approved for entry into archive by Isabel Gomes (itg@lisboa.ucp.pt) on 2014-11-14T12:40:15Z (GMT) No. of bitstreams: 1 Dissertação_Final.pdf: 2246122 bytes, checksum: e362d062e3c9c122efdca202a319482a (MD5) Made available in DSpace on 2014-11-14T12:40:15Z (GMT). No. of bitstreams: 1 Dissertação_Final.pdf: 2246122 bytes, checksum: e362d062e3c9c122efdca202a319482a (MD5) Previous issue date: 2013-03-14

Published
2013

31. Avaliação da Performance operacional de um armazém automático

Author

Silva, Lília Marisa Lopes da and Assis, Rui

Subjects
Armazém automático, Estrutura de objetivos, Balanced Scorecard, Automatic warehouse, Metric-merit conversions, Performance, Structure of objectives, Ciências Sociais::Economia e Gestão [Domínio/Área Científica], Métrica-mérito
Abstract

O Grupo Luís Simões opera em diferentes sectores de atividade: o transporte de mercadorias, a logística, a manutenção e comercialização de viaturas, rent-a-cargo e seguros. Este estudo centra-se na empresa Luís Simões Logística Integrada, a qual se dedica à vertente logística do Grupo. O armazém automático foi desenvolvido para fazer face à competitividade sentida no sector, este armazém inclui uma vertente automática e convencional. Para medir a performance do armazém existem, atualmente, três indicadores, os quais, na nossa opinião, se revelam insuficientes. Após descrever alguns conceitos teóricos para enquadramento do estudo, segue-se a elaboração da proposta de uma estrutura de objetivos e indicadores para avaliar, numa base periódica, o desempenho do armazém. A estrutura foi desenhada tendo por base o BSC da organização e focou-se na perspetiva dos “processos internos”. Para medir a performance do armazém foram definidos três grandes objetivos: 1) “melhorar a previsibilidade”, 2) “melhorar a disponibilidade dos equipamentos” e 3) “aumentar a fluidez”. Estes objetivos encontram-se subdivididos em 16 objetivos repartidos por quatro níveis hierárquicos. Cada um destes objetivos é medido por métricas, cada uma adequada ao respetivo objetivo. Os vários níveis da estrutura, bem como os objetivos dentro de cada nível foram ponderados, de modo a ter em conta a importância relativa atribuída pela Gestão. Foram selecionadas as métricas adequadas a cada objetivo e foram criadas funções de conversão destas métricas em mérito. Esta conversão foi efetuada através de um processo de conversão gráfica como apoio do EXCEL. Por último, foi realizada uma análise da sensibilidade do mérito global a variações (melhorias) de cada métrica, de modo a identificar os objetivos que mais contribuem para o mérito global ou para o aumento da performance do armazém e priorizar eventuais ações de melhoria. The Luís Simões Group operates in different sectors: cargo transport, logistics, vehicle trade and maintenance, rent-a-cargo and insurances. The present thesis focuses on the company Luís Simões Logística Integrada, which deals with all the logistic matters for the Group. The automatic warehouse was developed to face the competition in the sector, with a conventional and automated component. In order to measure its performance, there are currently three indicators, which, in our opinion, seem to be insufficient. We will first define some theoretical concepts to provide a context to the analysis. Then, we will present a proposal for a structure of objectives and markers to evaluate the performance of the warehouse on a timely basis. The structure was designed in accordance to the Balanced Score Card of the organization and was based on the “internal processes” perspective. This structure was then arranged in a hierarchical fashion, accommodating four levels of objectives: three top level objectives, eight intermediate objectives and sixteen operational level objectives. Each one of the operational objectives is measured by an appropriate metric. . The three top level objectives to assess the performance of the warehouse are: 1) To improve the predictability, 2) To enhance the equipment availability, and 3) To increase the pallet flow. The different objectives were then weighted at each of the four levels taking into consideration priorities established by Management. Appropriate metrics for the operational objectives were selected and converted into a scale of merit. This conversion was accomplished by 3rd degree polynomial function assisted graphically by EXCEL. Finally, we have analyzed how the variations (improvements) of each metric impact the global merit by carrying out a sensitivity analysis. The main goal is to identify which objectives contribute the most to the global merits, that is, to the improvement of the warehouse performance and, prioritize possible measures of action. Key Words

Published
2012

32. Streptococcus oralis Meningitis.

Author

Cruz Cardoso J, Ferreira D, Assis R, Monteiro J, Coelho I, Real A, and Catorze N

Abstract

Streptococcus oralis is part of the normal flora of the oropharyngeal, nasal, gastrointestinal and genitourinary tracts. Classically, it shows low pathogenicity and virulence, but can very rarely cause meningitis in patients who have undergone dental procedures and have poor oral hygiene. The purpose of this report is to highlight the importance of considering S. oralis as a cause of meningitis in patients with poor oral hygiene. A 53-year-old man was admitted to the emergency department with high fever (39.4°C), headache and drowsiness. His mouth was unhygienic. He was diagnosed with meningitis and empiric antibiotics (ceftriaxone plus ampicillin) and dexamethasone were started. S. oralis was isolated from cerebrospinal fluid. Ampicillin and dexamethasone were stopped, while ceftriaxone was continued with full recovery of the patient., Learning Points: Viridans streptococci such as Streptococcus oralis can rarely cause meningitis as well as endocarditis in patients with poor dental hygiene.Streptococcus viridans meningitis responds well to empiric antibiotic therapy.Patients with any form of streptococcus viridans infection should be screened for endocarditis., Competing Interests: Conflicts of Interests: The authors disclose no conflicts of interest., (© EFIM 2021.)

Published
2021
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33. Ovarian cancer and DNA repair: DNA ligase IV as a potential key.

Author

Assis J, Pereira D, and Medeiros R

Abstract

Ovarian cancer (OC) is the sixth most common cancer and the seventh cause of death from cancer in women. The etiology and the ovarian carcinogenesis still need clarification although ovulation may be determinant due to its carcinogenic role in ovarian surface epithelium. The link between ovarian carcinogenesis and DNA repair is well established and it became clear that alterations in DNA damage response may affect the risk to develop OC. Polymorphisms are variations in the DNA sequence that exist in normal individuals of a population and are capable to change, among other mechanisms, the balance between DNA damage and cellular response. Consequently, genetic variability of the host has a great role in the development, progression and consequent prognosis of the oncologic patient as well as in treatment response. Standard treatment for OC patients is based on cytoreductive surgery, followed by chemotherapy with a platinum agent and a taxane. Although 80% of the patients respond to the first-line therapy, the development of resistance is common although the mechanisms underlying therapy failure remain mostly unknown. Because of their role in oncology, enzymes involved in the DNA repair pathways, like DNA Ligase IV (LIG4), became attractive study targets. It has been reported that variations in LIG4 activity can lead to a hyper-sensitivity to DNA damage, deregulation of repair and apoptosis mechanisms, affecting the susceptibility to cancer development and therapy response. To overcome resistance mechanisms, several investigations have been made and the strategy to target crucial molecular pathways, such as DNA repair, became one of the important areas in clinical oncology. This review aims to elucidate the link between DNA repair and OC, namely which concerns the role of LIG4 enzyme, and how genetic polymorphisms in LIG4 gene can modulate the activity of the enzyme and affect the ovarian carcinogenesis and treatment response. Moreover, we try to understand how LIG4 inhibition can be a potential contributor for the development of new cancer treatment strategies.

Published
2013
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