9 results on '"Le Manach, Yannick"'
Search Results
2. Long-term survival of elderly patients after intensive care unit admission for acute respiratory infection: a population-based, propensity score-matched cohort study
- Author
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Guillon, Antoine, Hermetet, Coralie, Barker, Kimberly A., Jouan, Youenn, Gaborit, Christophe, Ehrmann, Stephan, Le Manach, Yannick, Dequin, Pierre-François, and Grammatico-Guillon, Leslie
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- 2020
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3. Improvement in staff behavior during surgical procedures to prevent post-operative complications (ARIBO2): study protocol for a cluster randomised trial
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Birgand, Gabriel, Haudebourg, Thomas, Grammatico-Guillon, Leslie, Ferrand, Léa, Moret, Leila, Gouin, François, Mauduit, Nicolas, Leux, Christophe, Le Manach, Yannick, Lepelletier, Didier, Tavernier, Elsa, Lucet, Jean-Christophe, and Giraudeau, Bruno
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- 2019
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4. Methods for Evaluating Medical Tests and Biomarkers
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Gopalakrishna, Gowri, Langendam, Miranda, Scholten, Rob, Bossuyt, Patrick, Leeflang, Mariska, Noel-Storr, Anna, Thomas, James, Marshall, Iain, Wallace, Byron, Whiting, Penny, Davenport, Clare, GopalaKrishna, Gowri, de Salis, Isabel, Mallett, Sue, Wolff, Robert, Riley, Richard, Westwood, Marie, Kleinen, Jos, Collins, Gary, Reitsma, Hans, Moons, Karel, Zapf, Antonia, Hoyer, Annika, Kramer, Katharina, Kuss, Oliver, Ensor, J., Deeks, J. J., Martin, E. C., Riley, R. D., Rücker, Gerta, Steinhauser, Susanne, Schumacher, Martin, Ensor, Joie, Snell, Kym, Willis, Brian, Debray, Thomas, Deeks, Jon, di Ruffano, Lavinia Ferrante, Taylor-Phillips, Sian, Hyde, Chris, Taylor, Stuart A., Batnagar, Gauraang, Di Ruffano, Lavinia Ferrante, Seedat, Farah, Clarke, Aileen, Byron, Sarah, Nixon, Frances, Albrow, Rebecca, Walker, Thomas, Deakin, Carla, Zhelev, Zhivko, Hunt, Harriet, Yang, Yaling, Abel, Lucy, Buchanan, James, Fanshawe, Thomas, Shinkins, Bethany, Wynants, Laure, Verbakel, Jan, Van Huffel, Sabine, Timmerman, Dirk, Van Calster, Ben, Zwinderman, Aeliko, Oke, Jason, O’Sullivan, Jack, Perera, Rafael, Nicholson, Brian, Bromley, Hannah L., Roberts, Tracy E., Francis, Adele, Petrie, Denniis, Mann, G. Bruce, Malottki, Kinga, Smith, Holly, Billingham, Lucinda, Sitch, Alice, Gerke, Oke, Holm-Vilstrup, Mie, Segtnan, Eivind Antonsen, Halekoh, Ulrich, Høilund-Carlsen, Poul Flemming, Francq, Bernard G., Dinnes, Jac, Parkes, Julie, Gregory, Walter, Hewison, Jenny, Altman, Doug, Rosenberg, William, Selby, Peter, Asselineau, Julien, Perez, Paul, Paye, Aïssatou, Bessede, Emilie, Proust-Lima, Cécile, Naaktgeboren, Christiana, de Groot, Joris, Rutjes, Anne, Reitsma, Johannes, Ogundimu, Emmanuel, Cook, Jonathan, Le Manach, Yannick, Vergouwe, Yvonne, Pajouheshnia, Romin, Groenwold, Rolf, Moons, Karen, Peelen, Linda, Nieboer, Daan, De Cock, Bavo, Pencina, Micael J., Steyerberg, Ewout W., Cooper, Jennifer, Parsons, Nick, Stinton, Chris, Smith, Steve, Dickens, Andy, Jordan, Rachel, Enocson, Alexandra, Fitzmaurice, David, Adab, Peymane, Boachie, Charles, Vidmar, Gaj, Freeman, Karoline, Connock, Martin, Court, Rachel, Moons, Carl, Harris, Jessica, Mumford, Andrew, Plummer, Zoe, Lee, Kurtis, Reeves, Barnaby, Rogers, Chris, Verheyden, Veerle, Angelini, Gianni D., Murphy, Gavin J., Huddy, Jeremy, Ni, Melody, Good, Katherine, Cooke, Graham, Hanna, George, Ma, Jie, Moons, K. G. M. (Carl), de Groot, Joris A. H., Altman, Doug G., Reitsma, Johannes B., Collins, Gary S., Moons, Karel G. M., Altman, Douglas G., Kamarudin, Adina Najwa, Kolamunnage-Dona, Ruwanthi, Cox, Trevor, Borsci, Simone, Pérez, Teresa, Pardo, M.Carmen, Candela-Toha, Angel, Muriel, Alfonso, Zamora, Javier, Sanghera, Sabina, Mohiuddin, Syed, Martin, Richard, Donovan, Jenny, Coast, Joanna, Seo, Mikyung Kelly, Cairns, John, Mitchell, Elizabeth, Smith, Alison, Wright, Judy, Hall, Peter, Messenger, Michael, Calder, Nicola, Wickramasekera, Nyantara, Vinall-Collier, Karen, Lewington, Andrew, Damen, Johanna, Cairns, David, Hutchinson, Michelle, Sturgeon, Cathie, Mitchel, Liz, Kift, Rebecca, Christakoudi, Sofia, Rungall, Manohursingh, Mobillo, Paula, Montero, Rosa, Tsui, Tjir-Li, Kon, Sui Phin, Tucker, Beatriz, Sacks, Steven, Farmer, Chris, Strom, Terry, Chowdhury, Paramit, Rebollo-Mesa, Irene, Hernandez-Fuentes, Maria, Damen, Johanna A. A. G., Debray, Thomas P. A., Heus, Pauline, Hooft, Lotty, Scholten, Rob J. P. M., Schuit, Ewoud, Tzoulaki, Ioanna, Lassale, Camille M., Siontis, George C. M., Chiocchia, Virginia, Roberts, Corran, Schlüssel, Michael Maia, Gerry, Stephen, Black, James A., van der Schouw, Yvonne T., Peelen, Linda M., Spence, Graeme, McCartney, David, van den Bruel, Ann, Lasserson, Daniel, Hayward, Gail, Vach, Werner, de Jong, Antoinette, Burggraaff, Coreline, Hoekstra, Otto, Zijlstra, Josée, de Vet, Henrica, Graziadio, Sara, Allen, Joy, Johnston, Louise, O’Leary, Rachel, Power, Michael, Johnson, Louise, Waters, Ray, Simpson, John, Fanshawe, Thomas R., Phillips, Peter, Plumb, Andrew, Helbren, Emma, Halligan, Steve, Gale, Alastair, Sekula, Peggy, Sauerbrei, Willi, Forman, Julia R., Dutton, Susan J., Takwoingi, Yemisi, Hensor, Elizabeth M., Nichols, Thomas E., Kempf, Emmanuelle, Porcher, Raphael, de Beyer, Jennifer, Altman, Douglas, Hopewell, Sally, Dennis, John, Shields, Beverley, Jones, Angus, Henley, William, Pearson, Ewan, Hattersley, Andrew, Scheibler, Fueloep, Rummer, Anne, Sturtz, Sibylle, Großelfinger, Robert, Banister, Katie, Ramsay, Craig, Azuara-Blanco, Augusto, Burr, Jennifer, Kumarasamy, Manjula, Bourne, Rupert, Uchegbu, Ijeoma, Murphy, Jennifer, Carter, Alex, Murphy, Jen, Marti, Joachim, Eatock, Julie, Robotham, Julie, Dudareva, Maria, Gilchrist, Mark, Holmes, Alison, Monaghan, Phillip, Lord, Sarah, StJohn, Andrew, Sandberg, Sverre, Cobbaert, Christa, Lennartz, Lieselotte, Verhagen-Kamerbeek, Wilma, Ebert, Christoph, Horvath, Andrea, Jenniskens, Kevin, Peters, Jaime, Grigore, Bogdan, Ukoumunne, Obi, Levis, Brooke, Benedetti, Andrea, Levis, Alexander W., Ioannidis, John P. A., Shrier, Ian, Cuijpers, Pim, Gilbody, Simon, Kloda, Lorie A., McMillan, Dean, Patten, Scott B, Steele, Russell J., Ziegelstein, Roy C, Bombardier, Charles H., Osório, Flavia de Lima, Fann, Jesse R., Gjerdingen, Dwenda, Lamers, Femke, Lotrakul, Manote, Loureiro, Sonia R, Löwe, Bernd, Shaaban, Juwita, Stafford, Lesley, van Weert, Henk C. P. M., Whooley, Mary A., Williams, Linda S., Wittkampf, Karin A., Yeung, Albert S., Thombs, Brett D., Cooper, Chris, Nieto, Tom, Smith, Claire, Tucker, Olga, Dretzke, Janine, Beggs, Andrew, Rai, Nirmala, Bayliss, Sue, Stevens, Simon, Mallet, Sue, Sundar, Sudha, Hall, Emma, Porta, Nuria, Estelles, David Lorente, and de Bono, Johann
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Faecal Immunochemical Test ,Chronic Obstructive Pulmonary Disorder ,Circulate Tumour Cell Count ,Apply Health Research ,Meeting Abstracts ,Faecal Immunochemical Test Result - Abstract
unKnown
- Published
- 2017
5. Improvement in staff behavior during surgical procedures to prevent post-operative complications (ARIBO2): study protocol for a cluster randomised trial.
- Author
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Birgand, Gabriel, Haudebourg, Thomas, Grammatico-Guillon, Leslie, Ferrand, Léa, Moret, Leila, Gouin, François, Mauduit, Nicolas, Leux, Christophe, Le Manach, Yannick, Lepelletier, Didier, Tavernier, Elsa, Lucet, Jean-Christophe, and Giraudeau, Bruno
- Subjects
HOSPITAL personnel attitudes ,SURGICAL complications ,SURGICAL site infections ,PATIENT safety ,OPERATIVE surgery ,ORTHOPEDIC surgery ,NOISE - Abstract
Background: Inappropriate staff behaviour during surgical procedures may disrupt the surgical performance and compromise patient safety. We developed an innovative monitoring and feedback system combined with an adaptive approach to optimise staff behaviour intraoperatively and prevent post-operative complications (POC) in orthopaedic surgery.Methods/design: This protocol describes a parallel-group, cluster randomised, controlled trial with orthopaedic centre as the unit of randomisation. The intervention period will last 6 months and will be based on the monitoring of two surrogates of staff behaviour: the frequency of doors opening and the level of noise. Both will be collected from incision to wound closure, using wireless sensors and sonometers, and recorded and analysed on a dedicated platform (Livepulse®). Staff from centres randomised to the intervention arm will be informed in real time on their own data through an interactive dashboard available in each operating room (OR), and a posteriori for hip and knee replacement POC. Aggregated data from all centres will also be displayed for benchmarking. A lean method will be applied in each centre by a local multidisciplinary team to analyse baseline situations, determine the target condition, analyse the root cause(s), and take countermeasures. The education and awareness of participants on the impact of their behaviour on patient safety will assist the quality improvement process. The control centres will be blinded to monitoring data and quality improvement approaches. The primary outcome will be any POC occurring during the 30 days post operation. We will evaluate this outcome using local and national routinely collected data from hospital discharge and disease databases. Thirty orthopaedic centres will be randomised for a total of 9945 hip and knee replacement surgical procedures.Discussion: The field of human factors and behaviour in the OR seems to offer potential room for improvement. An intervention providing goal-setting, monitoring, feedback and action planning may reduce the traffic flow and interruptions/distractions of the surgical team during procedures, preventing subsequent POCs. The results of this trial will provide important data on the impact of OR staff behaviour on patient safety, and promote best practice during surgical procedures.Trial Registration: ClinicalTrials.gov, NCT03158181 . [ABSTRACT FROM AUTHOR]- Published
- 2019
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6. Double-adjustment in propensity score matching analysis: choosing a threshold for considering residual imbalance.
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Nguyen, Tri-Long, Collins, Gary S., Spence, Jessica, Daurès, Jean-Pierre, Devereaux, P. J., Landais, Paul, and Le Manach, Yannick
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PROPENSITY score matching ,CONFOUNDING variables ,MONTE Carlo method ,REGRESSION analysis ,LOGISTIC regression analysis - Abstract
Background: Double-adjustment can be used to remove confounding if imbalance exists after propensity score (PS) matching. However, it is not always possible to include all covariates in adjustment. We aimed to find the optimal imbalance threshold for entering covariates into regression.Methods: We conducted a series of Monte Carlo simulations on virtual populations of 5,000 subjects. We performed PS 1:1 nearest-neighbor matching on each sample. We calculated standardized mean differences across groups to detect any remaining imbalance in the matched samples. We examined 25 thresholds (from 0.01 to 0.25, stepwise 0.01) for considering residual imbalance. The treatment effect was estimated using logistic regression that contained only those covariates considered to be unbalanced by these thresholds.Results: We showed that regression adjustment could dramatically remove residual confounding bias when it included all of the covariates with a standardized difference greater than 0.10. The additional benefit was negligible when we also adjusted for covariates with less imbalance. We found that the mean squared error of the estimates was minimized under the same conditions.Conclusion: If covariate balance is not achieved, we recommend reiterating PS modeling until standardized differences below 0.10 are achieved on most covariates. In case of remaining imbalance, a double adjustment might be worth considering. [ABSTRACT FROM AUTHOR]- Published
- 2017
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7. Severe and multiple hypoglycemic episodes are associated with increased risk of death in ICU patients.
- Author
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Kalfon, Pierre, Le Manach, Yannick, Ichai, Carole, Bréchot, Nicolas, Cinotti, Raphaël, Dequin, Pierre-François, Riu-Poulenc, Béatrice, Montravers, Philippe, Annane, Djilalli, Dupont, Hervé, Sorine, Michel, and Riou, Bruno
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- 2015
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8. Evaluation of a novel closed-loop fluid-administration system based on dynamic predictors of fluid responsiveness: an in silico simulation study.
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Rinehart J, Alexander B, Manach YL, Hofer C, Tavernier B, Kain ZN, Cannesson M, Rinehart, Joseph, Alexander, Brenton, Le Manach, Yannick, Hofer, Christoph, Tavernier, Benoit, Kain, Zeev N, and Cannesson, Maxime
- Abstract
Introduction: Dynamic predictors of fluid responsiveness have made automated management of fluid resuscitation more practical. We present initial simulation data for a novel closed-loop fluid-management algorithm (LIR, Learning Intravenous Resuscitator).Methods: The performance of the closed-loop algorithm was tested in three phases by using a patient simulator including a pulse-pressure variation output. In the first phase, LIR was tested in three different hemorrhage scenarios and compared with no management. In the second phase, we compared LIR with 20 practicing anesthesiologists for the management of a simulated hemorrhage scenario. In the third phase, LIR was tested under conditions of noise and artifact in the dynamic predictor.Results: In the first phase, we observed a significant difference between the unmanaged and the LIR groups in moderate to large hemorrhages in heart rate (76 ± 8 versus 141 ± 29 beats/min), mean arterial pressure (91 ± 6 versus 59 ± 26 mm Hg), and cardiac output (CO; (6.4 ± 0.9 versus 3.2 ± 1.8 L/min) (P < 0.005 for all comparisons). In the second phase, LIR intervened significantly earlier than the practitioners (16.0 ± 1.3 minutes versus 21.5 ± 5.6 minutes; P < 0.05) and gave more total fluid (2,675 ± 244 ml versus 1,968 ± 644 ml; P < 0.05). The mean CO was higher in the LIR group than in the practitioner group (5.9 ± 0.2 versus 5.2 ± 0.6 L/min; P < 0.05). Finally, in the third phase, despite the addition of noise to the pulse-pressure variation value, no significant difference was found across conditions in mean, final, or minimum CO.Conclusion: These data demonstrate that LIR is an effective volumetric resuscitator in simulated hemorrhage scenarios and improved physician management of the simulated hemorrhages. [ABSTRACT FROM AUTHOR]- Published
- 2011
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9. Erratum to: Methods for evaluating medical tests and biomarkers.
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Gopalakrishna G, Langendam M, Scholten R, Bossuyt P, Leeflang M, Noel-Storr A, Thomas J, Marshall I, Wallace B, Whiting P, Davenport C, Leeflang M, GopalaKrishna G, de Salis I, Mallett S, Wolff R, Whiting P, Riley R, Westwood M, Kleinen J, Collins G, Reitsma H, Moons K, Zapf A, Hoyer A, Kramer K, Kuss O, Ensor J, Deeks JJ, Martin EC, Riley RD, Rücker G, Steinhauser S, Schumacher M, Riley R, Ensor J, Snell K, Willis B, Debray T, Moons K, Deeks J, Collins G, di Ruffano LF, Willis B, Davenport C, Mallett S, Taylor-Phillips S, Hyde C, Deeks J, Mallett S, Taylor SA, Batnagar G, Taylor-Phillips S, Di Ruffano LF, Seedat F, Clarke A, Deeks J, Byron S, Nixon F, Albrow R, Walker T, Deakin C, Hyde C, Zhelev Z, Hunt H, di Ruffano LF, Yang Y, Abel L, Buchanan J, Fanshawe T, Shinkins B, Wynants L, Verbakel J, Van Huffel S, Timmerman D, Van Calster B, Leeflang M, Zwinderman A, Bossuyt P, Oke J, O'Sullivan J, Perera R, Nicholson B, Bromley HL, Roberts TE, Francis A, Petrie D, Mann GB, Malottki K, Smith H, Deeks J, Billingham L, Sitch A, Mallett S, Deeks J, Gerke O, Holm-Vilstrup M, Segtnan EA, Halekoh U, Høilund-Carlsen PF, Francq BG, Deeks J, Sitch A, Dinnes J, Parkes J, Gregory W, Hewison J, Altman D, Rosenberg W, Selby P, Asselineau J, Perez P, Paye A, Bessede E, Proust-Lima C, Naaktgeboren C, de Groot J, Rutjes A, Bossuyt P, Reitsma J, Moons K, Collins G, Ogundimu E, Cook J, Le Manach Y, Altman D, Wynants L, Vergouwe Y, Van Huffel S, Timmerman D, Van Calster B, Pajouheshnia R, Groenwold R, Moons K, Reitsma J, Peelen L, Van Calster B, Nieboer D, Vergouwe Y, De Cock B, Pencina MJ, Steyerberg EW, Cooper J, Taylor-Phillips S, Parsons N, Stinton C, Smith S, Dickens A, Jordan R, Enocson A, Fitzmaurice D, Sitch A, Adab P, Francq BG, Boachie C, Vidmar G, Freeman K, Connock M, Taylor-Phillips S, Court R, Clarke A, de Groot J, Naaktgeboren C, Reitsma H, Moons C, Harris J, Mumford A, Plummer Z, Lee K, Reeves B, Rogers C, Verheyden V, Angelini GD, Murphy GJ, Huddy J, Ni M, Good K, Cooke G, Bossuyt P, Hanna G, Ma J, Altman D, Collins G, Moons KGMC, de Groot JAH, Mallett S, Altman DG, Reitsma JB, Collins GS, Moons KGM, Altman DG, Reitsma JB, Collins GS, Kamarudin AN, Kolamunnage-Dona R, Cox T, Ni M, Huddy J, Borsci S, Hanna G, Pérez T, Pardo MC, Candela-Toha A, Muriel A, Zamora J, Sanghera S, Mohiuddin S, Martin R, Donovan J, Coast J, Seo MK, Cairns J, Mitchell E, Smith A, Wright J, Hall P, Messenger M, Calder N, Wickramasekera N, Vinall-Collier K, Lewington A, Pajouheshnia R, Damen J, Groenwold R, Moons K, Peelen L, Messenger M, Cairns D, Smith A, Hutchinson M, Wright J, Hall P, Calder N, Sturgeon C, Mitchel L, Kift R, Christakoudi S, Rungall M, Mobillo P, Montero R, Tsui TL, Kon SP, Tucker B, Sacks S, Farmer C, Strom T, Chowdhury P, Rebollo-Mesa I, Hernandez-Fuentes M, Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM, Damen JAAG, Hooft L, Schuit E, Debray TPA, Collins GS, Tzoulaki I, Lassale CM, Siontis GCM, Chiocchia V, Roberts C, Schlüssel MM, Gerry S, Black JA, Heus P, van der Schouw YT, Peelen LM, Moons KGM, Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJPM, Ma J, Altman D, Collins G, Spence G, McCartney D, van den Bruel A, Lasserson D, Hayward G, Vach W, de Jong A, Burggraaff C, Hoekstra O, Zijlstra J, de Vet H, Hunt H, Hyde C, Graziadio S, Allen J, Johnston L, O'Leary R, Power M, Allen J, Graziadio S, Johnson L, O'Leary R, Power M, Waters R, Simpson J, Johnston L, Allen J, Graziadio S, O'Leary R, Waters R, Power M, Mallett S, Fanshawe TR, Phillips P, Plumb A, Helbren E, Halligan S, Taylor SA, Gale A, Mallett S, Sekula P, Altman DG, Sauerbrei W, Mallett S, Fanshawe TR, Forman JR, Dutton SJ, Takwoingi Y, Hensor EM, Nichols TE, Shinkins B, Yang Y, Abel L, Di Ruffano LF, Fanshawe T, Kempf E, Porcher R, de Beyer J, Moons K, Altman D, Reitsma H, Hopewell S, Sauerbrei W, Collins G, Dennis J, Shields B, Jones A, Henley W, Pearson E, Hattersley A, Heus P, Damen JAAG, Pajouheshnia R, Scholten RJPM, Reitsma JB, Collins GS, Altman DG, Moons KGM, Hooft L, Shields B, Dennis J, Jones A, Henley W, Pearson E, Hattersley A, Scheibler F, Rummer A, Sturtz S, Großelfinger R, Banister K, Ramsay C, Azuara-Blanco A, Cook J, Boachie C, Burr J, Kumarasamy M, Bourne R, Uchegbu I, Borsci S, Murphy J, Hanna G, Uchegbu I, Carter A, Murphy J, Ni M, Marti J, Eatock J, Uchegbu I, Robotham J, Dudareva M, Gilchrist M, Holmes A, Uchegbu I, Borsci S, Monaghan P, Lord S, StJohn A, Sandberg S, Cobbaert C, Lennartz L, Verhagen-Kamerbeek W, Ebert C, Bossuyt P, Horvath A, Jenniskens K, Naaktgeboren C, Reitsma J, Moons K, de Groot J, Hyde C, Peters J, Grigore B, Peters J, Hyde C, Hyde C, Ukoumunne O, Peters J, Zhelev Z, Levis B, Benedetti A, Levis AW, Ioannidis JPA, Shrier I, Cuijpers P, Gilbody S, Kloda LA, McMillan D, Patten SB, Steele RJ, Ziegelstein RC, Bombardier CH, Osório FL, Fann JR, Gjerdingen D, Lamers F, Lotrakul M, Loureiro SR, Löwe B, Shaaban J, Stafford L, van Weert HCPM, Whooley MA, Williams LS, Wittkampf KA, Yeung AS, Thombs BD, Peters J, Cooper C, Buchanan J, Nieto T, Smith C, Tucker O, Dretzke J, Beggs A, Rai N, Davenport C, Bayliss S, Stevens S, Snell K, Mallet S, Deeks J, Sundar S, Hall E, Porta N, Estelles DL, and de Bono J
- Abstract
[This corrects the article DOI: 10.1186/s41512-016-0001-y.].
- Published
- 2017
- Full Text
- View/download PDF
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