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2. Early short course of neuromuscular blocking agents in patients with COVID-19 ARDS: a propensity score analysis

Author

Li Bassi, G., Gibbons, K., Suen, J. Y., Dalton, H. J., White, N., Corley, A., Shrapnel, S., Hinton, S., Forsyth, S., Laffey, J. G., Fan, E., Fanning, J. P., Panigada, M., Bartlett, R., Brodie, D., Burrell, A., Chiumello, D., Elhazmi, A., Esperatti, M., Grasselli, G., Hodgson, C., Ichiba, S., Luna, C., Marwali, E., Merson, L., Murthy, S., Nichol, A., Ogino, M., Pelosi, P., Torres, A., P. Y., Ng, Fraser, J. F., Al-Dabbous, T., Alfoudri, H., Shamsah, M., Elapavaluru, S., Berg, A., Horn, C., Mayasi, Y., Schroll, S., Meyer, D., Velazco, J., Ploskanych, L., Fikes, W., Bagewadi, R., Dao, M., White, H., Ehlers, A., Shalabi-McGuire, M., Witt, T., Grazioli, L., Lorini, L., Grandin, E. W., Nunez, J., Reyes, T., Obriain, D., Hunter, S., Ramanan, M., Affleck, J., Veerendra, H. H., Rai, S., Russell-Brown, J., Nourse, M., Joseph, M., Mitchell, B., Tenzer, M., Abe, R., Cho, H. J., Jeong, I. S., Rahman, N., Kakar, V., Brozzi, N., Mehkri, O., Krishnan, S., Duggal, A., Houltham, S., Graf, J., Diaz, R., Orrego, R., Delgado, C., Gonzalez, J., Sanchez, M. S., Piagnerelli, M., Sarrazin, J. V., Zabert, A. /P. G., Espinosa, L., Delgado, P., Delgado, V., Rincon, D. F. B., Yanten, A. M. M., Duque, M. B., Al-Hudaib, A., Callahan, M., Taufik, M. A., Wardoyo, E. Y., Gunawan, M., Trisnaningrum, N. S., Irawany, V., Rayhan, M., Pesenti, A., Zanella, A., Leone, M., Coppola, S., Colombo, S., Antonelli, M., Carelli, S., Grieco, D. L., Asaki, M., Hoshino, K., Salazar, L., Duarte, L., Laffey, J., Mcnicholas, B., Cosgrave, D., Mccaffrey, J., Bone, A., Hakeem, Y., Winearls, J., Tallott, M., Thomson, D., Arnold-Day, C., Cupido, J., Fanie, Z., Miller, M., Seymore, L., van Straaten, D., Hssain, A. A., Aliudin, J., Alqahtani, A. -R., Mohamed, K., Mohamed, A., Tan, D., Villanueva, J., Zaqout, A., Kurtzman, E., Ademi, A., Dobrita, A., El Aoudi, K., Segura, J., Giwangkancana, G., Ohshimo, S., Hitoshi, S., Osatnik, J., Joosten, A., Yang, M., Motos, A., Arancibia, F., Williams, V., Noel, A., Luque, N., Trung, T. H., Yacoub, S., Fantini, M., Garcia, R. N. J., Alvarez, E. C., Greti, A., Ceccato, A., Sanchez, A., Vazquez, A. L., Roche-Campo, F., Franch-Llasat, D., Tuazon, D., Amato, M., Cassimiro, L., Pola, F., Ribeiro, F., Fonseca, G., Dalton, H., Desai, M., Osborn, E., Deeb, H., Arcadipane, A., Martucci, G., Panarello, G., Vitiello, C., Bianco, C., Occhipinti, G., Rossetti, M., Cuffaro, R., Cho, S. -M., Shimizu, H., Moriyama, N., Kim, J. -B., Kitamura, N., Gebauer, J., Yokoyama, T., Al-Fares, A., Buabbas, S., Alamad, E., Alawadhi, F., Alawadi, K., Tanaka, H., Hashimoto, S., Yamazaki, M., T. -H., Oh, Epler, M., Forney, C., Kruse, L., Feister, J., Williamson, J., Grobengieser, K., Gnall, E., Golden, S., Caroline, M., Shapiro, T., Karaj, C., Thome, L., Sher, L., Vanderland, M., Welch, M., Mcdermott, S., Brain, M., Mineall, S., Kimura, D., Brazzi, L., Sales, G., Ogston, T., Nagpal, D., Fischer, K., Lorusso, R., Rangappa, R., Appu, A., Carton, E. G., Sen, A., Palacios, A., Rainey, D., Samoukoviv, G., Campisi, J., Durham, L., Neumann, E., Seefeldt, C., Falcucci, O., Emmrich, A., Guy, J., Johns, C., Potzner, K., Zimmermann, C., Espinal, A., Buchtele, N., Schwameis, M., Stecher, S. -S., Singh, D., Barnikel, M., Arenz, L., Zaaqoq, A., Galloway, L. A., Merley, C., Csete, M., Quesada, L., Saba, I., Kasugai, D., Hiraiwa, H., Tanaka, T., Purnama, Y., Dewayanti, S. R., Ardiyan, Juzar, D. A., Siagian, D., Chen, Y. -S., Ratsep, I., Oigus, G., Erikson, K., Post, A. -M., Enneveer, L., Sillaots, P., Manetta, F., Mihelis, E., Sarmiento, I. C., Narasimhan, M., Varrone, M., Komats, M., Garcia-Diaz, J., Harmon, C., Satyapriya, S. V., Bhatt, A., Mokadam, N. A., Uribe, A., Gonzalez, A., Shi, H., Mckeown, J., Pasek, J., Fiorda, J., Echeverria, M., Moreno, R., Zakhary, B., Cavana, M., Cucino, A., Foti, G., Giani, M., Russotto, V., Castagna, V., Dellamore, A., Navalesi, P., Shum, H. -P., Vuysteke, A., Usman, A., Acker, A., Smood, B., Mergler, B., Sertic, F., Subramanian, M., Sperry, A., Rizer, N., Burhan, E., Rasmin, M., Akmal, E., Sitompul, F., Lolong, N., Naivedh, B., Erickson, S., Barrett, P., Dean, D., Daugherty, J., Loforte, A., Khan, I., Abraar Quraishi, M., Desantis, O., So, D., Kandamby, D., Mandei, J. M., Natanael, H., Yudhalantang, E., Lantang, A., Wijaya, S. O., Jung, A., Ng, G., W. Y., Ng, Fang, S., Tabah, A., Ratcliffe, M., Duroux, M., Adachi, S., Nakao, S., Blanco, P., Prieto, A., Sanchez, J., Nicholson, M., Butt, W., Serratore, A., Delzoppo, C., Janin, P., Yarad, E., Totaro, R., Coles, J., Pujo, B., Balk, R., Vissing, A., Kapania, E., Hays, J., Fox, S., Yantosh, G., Mishin, P., Yuliarto, S., Hari Santoso, K., Djajalaksana, S., Fatoni, A. Z., Fukuda, M., Liu, K., Battaglini, D., Jimenez, J. F. M., Bastos, D., Gaiao, S., Rusmawatiningtyas, D., Buchner, J., Cho, Y. -J., Lee, S. H., Kawasaki, T., Munshi, L., Sakiyalak, P., Nitayavardhana, P., Seitz, T., Arora, R., Kent, D., Marino, D., Parwar, S., Cheng, A., Miller, J., Fujitani, S., Shimizu, N., Madhok, J., Owyang, C., Buscher, H., Reynolds, C., Maasikas, O., Beljantsev, A., Mihnovits, V., Akimoto, T., Aizawa, M., Horibe, K., Onodera, R., Young, M., George, T., Shekar, K., Mcguinness, N., Irvine, L., Flynn, B., Endo, T., Sugiyama, K., Shimizu, K., Exconde, K., Lussier, L., Lotz, G., Malfertheiner, M., Maier, L., Dreier, E., Kusumastuti, N. P., Mccloskey, C., Dabaliz, A. -A., Elshazly, T. B., Smith, J., Szuldrzynski, K. S., Bielanski, P., Wille, K., Parhar, K. K. S., Fiest, K. M., Codan, C., Shahid, A., Fayed, M., Evans, T., Garcia, R., Gutierrez, A., Song, T., Rose, R., Bennett, S., Richardson, D., Peek, G., Arora, L., Rappapport, K., Rudolph, K., Sibenaller, Z., Stout, L., Walter, A., Herr, D., Vedadi, N., Thompson, S., Sindt, L., Rajnic, S., Ewald, C., Hoffman, J., Ying, X., Kennedy, R., Griffee, M., Ciullo, A., Kida, Y., Roca, R. F., Riera, J. I., Contreras, S., Alegre, C., Kay, C., Fischer, I., Renner, E., Taniguci, H., Fraser, J., Bassi, G. L., Suen, J., Barnett, A., Pearse, I., Abbate, G., Hassan, H., Heinsar, S., Karnik, V. A., Ki, K., Oneill, H. F., Obonyo, N., Pimenta, L. P., Reid, J. D., Sato, K., Vuorinen, A., Wildi, K. S., Wood, E. S., Yerkovich, S., Lee, J., Plotkin, D., Citarella, B. W., Hartley, E., Lubis, B., Ikeyama, T., Bhaskar, B., Jung, J. -S., Mcguinness, S., Eastwood, G., Marta, S. R., Guarracino, F., Gerle, S., Coxon, E., Claro, B., Loverde, D., Patil, N., Parrini, V., Mcbride, A., Negaard, K., Ratsch, A., Abdelaziz, A., Uribe, J. D., Peris, A., Sanders, M., Emerson, D., Kamal, M., Povoa, P., Francis, R., Cherif, A., Joseph, S., Di Nardo, M., Heard, M., Kyle, K., Blackwell, R. A., Biston, P., Jeong, H. W., Smith, R., Prawira, Y., Montrucchio, G., Garcia, A. H., Salterain, N., Meyns, B., Moreno, M., Walia, R., Mehta, A., Schweda, A., Supriatna, M., Kirakli, C., Williams, M., Kim, K. H., Assad, A., Giraldo, E., Karolak, W., Balik, M., Pocock, E., Gajkowski, E., Masafumi, K., Barrett, N., Takeyama, Y., Park, S., Amin, F., Andriyani, F. M., Sudakevych, S., Vera, M., Cornejo, R., Schwarz, P., Mardini, A. C., de Paula, T., Neto, A. S., Villoldo, A., Colafranceschi, A. S., Iglesias, A. U., Granjean, J., Melro, L. M. G., Romualdo, G. F., Gaia, D., Souza, H., Galas, F., Mendiluce, R. M., Sosa, A., Martinez, I., Kurosawa, H., Salgado, J., Hugi-MayrCharbonneau, B. E., Barzilai, V. S., Monteiro, V., de Souza, R. R., Harper, M., Suzuki, H., Adams, C., Brieva, J., Nyale, G., Eltatar, F. S., Fatani, J., Baeissa, H., Masri, A. A., Rabie, A., Hui, M. Y., Yamane, M., Jung, H., Margaret, A. M., Nacpil, N., Ruck, K., Bakken, R., Jara, C., Felton, T., Berra, L., Shah, B., Chakraborty, A., Cardona, M., Capatos, G., Akkanti, B., Orija, A., Jain, H., Ito, A., Housni, B., Low, S., Iihara, K., Chavez, J., Ramanathan, K., Zabert, G., Naidoo, K., Seppelt, I., Vandyk, M., Macdonald, S., Mcgregor, R., Siebenaler, T., Flynn, H., Lofton, K., Aokage, T., Shigemitsu, K., Moscatelli, A., Fiorentino, G., Baumgaertel, M., Mba, S. E., Assy, J., Hutahaean, A., Roush, H., Sichting, K. A., Alessandri, F., Burns, D., Salt, G., Garabedian, C. P., Millar, J., Sim, M., Mattke, A., Mcauley, D., Tadili, J., Frenzel, T., Bar-Lavie, Y., Ortiz, A. B., Stone, J., Attokaran, A., Farquharson, M., Patel, B., Gunning, D., Baillie, K., Watson, P., Tamai, K., Sajinadiyasa, G. K., Kanyawati, D., Salgado, M., Sassine, A., Yudo, B., Mccaul, S., Lee, B., Lee, S. M., Afek, A., Iwashita, Y., Semedi, B. P., Metiva, J., Van Belle, N., Martin-Loeches, I., Ivatt, L., Woon, C. Y., Kang, H. M., Smith, T., James, E., Al-Rawas, N., Iwasaki, Y., King-Chung, K. C., Gudzenko, V., Hugi-Mayr, B., Taccone, F., Perdhana, F., Lamarche, Y., Ribeiro, J. M., Bradic, N., Van den Bossche, K., Lansink, O., Singh, G., Debeuckelaere, G., Stelfox, H. T., Yi, C., Elia, J., Tribble, T., Shankar, S., Padmanabhan, R., Hallinan, B., Paoletti, L., Leyva, Y., Fykuda, T., Badulak, J., Koch, J., Hackman, A., Janowaik, L., Hernandez, D., Osofsky, J., Donadello, K., Lawang, A., Fine, J., Davidson, B., Vazquez, A. O. R., COVID-19 Critical Care Consortium, and Consortium, COVID-19 Critical Care

Subjects
Male, Respiratory Distress Syndrome, COVID-19, Intensive care unit, Mechanical ventilation, Neuromuscular blocking agent, SARS-CoV-2, Aged, Female, Humans, Intensive Care Units, Middle Aged, Propensity Score, Respiration, Artificial, Neuromuscular Blocking Agents, Respiration, Other Research Radboud Institute for Health Sciences [Radboudumc 0], Settore MED/41 - Anestesiologia, Critical Care and Intensive Care Medicine, COVID-19 Drug Treatment, Artificial, Human medicine
Abstract

Background The role of neuromuscular blocking agents (NMBAs) in coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS) is not fully elucidated. Therefore, we aimed to investigate in COVID-19 patients with moderate-to-severe ARDS the impact of early use of NMBAs on 90-day mortality, through propensity score (PS) matching analysis. Methods We analyzed a convenience sample of patients with COVID-19 and moderate-to-severe ARDS, admitted to 244 intensive care units within the COVID-19 Critical Care Consortium, from February 1, 2020, through October 31, 2021. Patients undergoing at least 2 days and up to 3 consecutive days of NMBAs (NMBA treatment), within 48 h from commencement of IMV were compared with subjects who did not receive NMBAs or only upon commencement of IMV (control). The primary objective in the PS-matched cohort was comparison between groups in 90-day in-hospital mortality, assessed through Cox proportional hazard modeling. Secondary objectives were comparisons in the numbers of ventilator-free days (VFD) between day 1 and day 28 and between day 1 and 90 through competing risk regression. Results Data from 1953 patients were included. After propensity score matching, 210 cases from each group were well matched. In the PS-matched cohort, mean (± SD) age was 60.3 ± 13.2 years and 296 (70.5%) were male and the most common comorbidities were hypertension (56.9%), obesity (41.1%), and diabetes (30.0%). The unadjusted hazard ratio (HR) for death at 90 days in the NMBA treatment vs control group was 1.12 (95% CI 0.79, 1.59, p = 0.534). After adjustment for smoking habit and critical therapeutic covariates, the HR was 1.07 (95% CI 0.72, 1.61, p = 0.729). At 28 days, VFD were 16 (IQR 0–25) and 25 (IQR 7–26) in the NMBA treatment and control groups, respectively (sub-hazard ratio 0.82, 95% CI 0.67, 1.00, p = 0.055). At 90 days, VFD were 77 (IQR 0–87) and 87 (IQR 0–88) (sub-hazard ratio 0.86 (95% CI 0.69, 1.07; p = 0.177). Conclusions In patients with COVID-19 and moderate-to-severe ARDS, short course of NMBA treatment, applied early, did not significantly improve 90-day mortality and VFD. In the absence of definitive data from clinical trials, NMBAs should be indicated cautiously in this setting.

Published
2022
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4. The hop-constrained minimum cost flow spanning tree problem with nonlinear costs: an ant colony optimization approach

Author

Dalila B.M.M. Fontes, Fernando A. C. C. Fontes, Marta S. R. Monteiro, Departamento de Engenharia Electrotécnica e de Computadores [Porto] (DEEC), Universidade do Porto, European Project: 264735,EC:FP7:PEOPLE,FP7-PEOPLE-2010-ITN,SADCO(2011), and Universidade do Porto = University of Porto

Subjects
Distributed minimum spanning tree, Mathematical optimization, Control and Optimization, Spanning tree, Ant colony optimization algorithms, Combinatorial optimization, Computational intelligence, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], Minimum-cost flow problem, Minimum spanning tree, Flow network, Mathematics
Abstract

International audience; In this work we address the Hop-Constrained Minimum cost Flow Spanning Tree (HMFST) problem with nonlinear costs. The HMFST problem is an extension of the Hop-Constrained Minimum Spanning Tree problem since it considers flow requirements other than unit flows. We propose a hybrid heuristic, based on ant colony optimization and on local search, to solve this class of problems given its combinatorial nature and also that the total costs are nonlinearly flow dependent with a fixed-charge component. We solve a set of benchmark problems available online and compare the results obtained with the ones reported in the literature for a Multi-Population hybrid biased random key Genetic Algorithm (MPGA). Our algorithm proved to be able to find an optimum solution in more than 75 % of the runs, for each problem instance solved, and was also able to improve on many results reported for the MPGA. Furthermore, for every single problem instance we were able to find a feasible solution, which was not the case for the MPGA. Regarding running times, our algorithm improves upon the computational time used by CPLEX and was always lower than that of the MPGA.

Published
2015
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5. Hop-Constrained Tree-Shaped Networks

Author

Monteiro, Marta S. R., Fontes, Dalila B. M. M., Fontes, Fernando A. C. C., Departamento de Engenharia Electrotécnica e de Computadores [Porto] (DEEC), Universidade do Porto = University of Porto, Sergiy Butenko, Eduardo L. Pasiliao, Volodymyr Shylo, European Project: 264735,EC:FP7:PEOPLE,FP7-PEOPLE-2010-ITN,SADCO(2011), and Universidade do Porto

Subjects
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
Abstract

International audience; Hop constraints are used to limit the number of links between two given points in a network, this way improving the quality of service by increasing the availability and reliability of the network. They have been applied to a limited number of problems, although their application can be of the greatest importance both from the academical and practical points-of-view. In this work, we survey relevant and recent works on hop-constrained problems focusing on problems with tree shaped solutions.

Published
2014
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6. Concave minimum cost network flow problems solved with a colony of ants

Author

Fernando A. C. C. Fontes, Dalila B.M.M. Fontes, Marta S. R. Monteiro, Faculdade de Economia, and Faculdade de Engenharia

Subjects
Mathematical optimization, Control and Optimization, Computer Networks and Communications, Computer science, business.industry, Heuristic (computer science), Ant colony optimization algorithms, Economia e gestão [Ciências sociais], Management Science and Operations Research, Flow network, Economics and Business [Social sciences], Reduction (complexity), Operations research, Production management, Industrial management, Economics and Business, Core (game theory), Artificial Intelligence, Investigação operacional, Gestão da produção, Gestão industrial, Economia e gestão, Local search (optimization), Minimum-cost flow problem, Heuristics, business, Software, Information Systems
Abstract

In this work we address the Single-Source Uncapacitated Minimum Cost Network Flow Problem with concave cost functions. This problem is NP-Hard, therefore we propose a hybrid heuristic to solve it. Our goal is not only to apply an ant colony optimization (ACO) algorithm to such a problem, but also to provide an insight on the behaviour of the parameters in the performance of the algorithm. The performance of the ACO algorithm is improved with the hybridization of a local search (LS) procedure. The core ACO procedure is used to mainly deal with the exploration of the search space, while the LS is incorporated to further cope with the exploitation of the best solutions found. The method we have developed has proven to be very efficient while solving both small and large size problem instances. The problems we have used to test the algorithm were previously solved by other authors using other population based heuristics. Our algorithm was able to improve upon some of their results in terms of solution quality, proving that the HACO algorithm is a very good alternative approach to solve these problems. In addition, our algorithm is substantially faster at achieving these improved solutions. Furthermore, the magnitude of the reduction of the computational requirements grows with problem size.

Published
2013

7. Urinary tract infection in patients with spinal cord injury after urodynamics under fosfomycin prophylaxis: a retrospective analysis.

Author

Amaral DM, Pereira AMVC, Rodrigues MR, Gandarez MFL, Cunha MR, and Torres MSR

Abstract

Background: Urinary tract infection (UTI) is a common complication of spinal cord injury (SCI). Urodynamic testing is widely used for characterization of vesico-sphincteric dysfunction and for therapeutic orientation. As an invasive procedure, the risk of UTI is increased so, in some medical centers, antibiotic prophylaxis is instituted. Fosfomycin is one of the antibiotics used., Objective: The aim of this study was to evaluate the incidence of UTI after urodynamics in patients with SCI, under fosfomycin prophylaxis., Methods: Retrospective analysis was performed on patients with SCI, admitted to a rehabilitation center between January 2016 and June 2017, who underwent urodynamics studies under fosfomycin prophylaxis. Demographic data, risk factors for UTI-bacteriuria before urodynamics, high residual volume (>100 mL), bladder emptying method, vesico-sphincteric dyssynergia, and detrusor hyperactivity were analyzed. The incidence of UTI after urodynamics was evaluated., Results: The study included 84 patients, predominantly men 55 (65.5%). The mean age of the patients was 55.6 (18.9). Eleven (22.5%) had vesico-sphincteric dyssynergia, 32 (65.3%) detrusor hyperactivity and 22 (44.9%) had a high residual volume. Thirty-seven (44.1%) had asymptomatic bacteriuria before the urodynamics. Urinary complaints suggestive of UTI after urodynamics were observed in 2(2.4%) of patients, without significant bacteriuria and identification of bacterial agent., Conclusions: The incidence of UTI after invasive procedures is reported between 3% and 20% in the literature, so antibiotic prophylaxis has been instituted, although controversial. In the study, in none of the patients the diagnosis of UTI was confirmed. Fosfomycin prophylaxis may have been important in reducing the incidence of UTI., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2019 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of PBJ-Associação Porto Biomedical/Porto Biomedical Society. All rights reserved.)

Published
2019
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