14 results
Processing of social and monetary rewards in autism spectrum disorders
- Sarah Baumeister, Carolin Moessnang, Nico Bast, Sarah Hohmann, Pascal Aggensteiner, Anna Kaiser, Julian Tillmann, David Goyard, Tony Charman, Sara Ambrosino, Simon Baron-Cohen, Christian Beckmann, Sven Bölte, Thomas Bourgeron, Annika Rausch, Daisy Crawley, Flavio Dell'Acqua, Guillaume Dumas, Sarah Durston, Christine Ecker, Dorothea L. Floris, Vincent Frouin, Hannah Hayward, Rosemary Holt, Mark H. Johnson, Emily J. H. Jones, Meng-Chuan Lai, Michael V. Lombardo, Luke Mason, Bethany Oakley, Marianne Oldehinkel, Antonio M. Persico, Antonia San José Cáceres, Thomas Wolfers, Eva Loth, Declan G. M. Murphy, Jan K. Buitelaar, Heike Tost, Andreas Meyer-Lindenberg, Tobias Banaschewski, Daniel Brandeis, the EU-AIMS LEAP Group
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- Journal:
- The British Journal of Psychiatry / Volume 222 / Issue 3 / March 2023
- Published online by Cambridge University Press:
- 26 January 2023, pp. 100-111
- Print publication:
- March 2023
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Background
Reward processing has been proposed to underpin the atypical social feature of autism spectrum disorder (ASD). However, previous neuroimaging studies have yielded inconsistent results regarding the specificity of atypicalities for social reward processing in ASD.
AimsUtilising a large sample, we aimed to assess reward processing in response to reward type (social, monetary) and reward phase (anticipation, delivery) in ASD.
MethodFunctional magnetic resonance imaging during social and monetary reward anticipation and delivery was performed in 212 individuals with ASD (7.6–30.6 years of age) and 181 typically developing participants (7.6–30.8 years of age).
ResultsAcross social and monetary reward anticipation, whole-brain analyses showed hypoactivation of the right ventral striatum in participants with ASD compared with typically developing participants. Further, region of interest analysis across both reward types yielded ASD-related hypoactivation in both the left and right ventral striatum. Across delivery of social and monetary reward, hyperactivation of the ventral striatum in individuals with ASD did not survive correction for multiple comparisons. Dimensional analyses of autism and attention-deficit hyperactivity disorder (ADHD) scores were not significant. In categorical analyses, post hoc comparisons showed that ASD effects were most pronounced in participants with ASD without co-occurring ADHD.
ConclusionsOur results do not support current theories linking atypical social interaction in ASD to specific alterations in social reward processing. Instead, they point towards a generalised hypoactivity of ventral striatum in ASD during anticipation of both social and monetary rewards. We suggest this indicates attenuated reward seeking in ASD independent of social content and that elevated ADHD symptoms may attenuate altered reward seeking in ASD.
Risk Factors for Surgical Site Infections Following Anterior Cruciate Ligament Reconstruction
- Michael V. Murphy, Dongyi (Tony) Du, Wei Hua, Karoll J. Cortez, Melissa G. Butler, Robert L. Davis, Thomas A. DeCoster, Laura Johnson, Lingling Li, Cynthia Nakasato, James D. Nordin, Mayur Ramesh, Michael Schum, Ann Von Worley, Craig Zinderman, Richard Platt, Michael Klompas
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 37 / Issue 7 / July 2016
- Published online by Cambridge University Press:
- 31 March 2016, pp. 827-833
- Print publication:
- July 2016
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OBJECTIVE
To determine the effect of graft choice (allograft, bone-patellar tendon-bone autograft, or hamstring autograft) on deep tissue infections following anterior cruciate ligament (ACL) reconstructions.
DESIGNRetrospective cohort study.
SETTING AND POPULATIONPatients from 6 US health plans who underwent ACL reconstruction from January 1, 2000, through December 31, 2008.
METHODSWe identified ACL reconstructions and potential postoperative infections using claims data. A hierarchical stratified sampling strategy was used to identify patients for medical record review to confirm ACL reconstructions and to determine allograft vs autograft tissue implanted, clinical characteristics, and infection status. We estimated infection rates overall and by graft type. We used logistic regression to assess the association between infections and patients’ demographic characteristics, comorbidities, and choice of graft.
RESULTSOn review of 1,452 medical records, we found 55 deep wound infections. With correction for sampling weights, infection rates varied by graft type: 0.5% (95% CI, 0.3%-0.8%) with allografts, 0.6% (0.1%–1.5%) with bone-patellar tendon-bone autografts, and 2.5% (1.9%–3.1%) with hamstring autograft. After adjusting for potential confounders, we found an increased infection risk with hamstring autografts compared with allografts (odds ratio, 5.9; 95% CI, 2.8–12.8). However, there was no difference in infection risk among bone-patellar tendon-bone autografts vs allografts (odds ratio, 1.2; 95% CI, 0.3–4.8).
CONCLUSIONSThe overall risk for deep wound infections following ACL reconstruction is low but it does vary by graft type. Infection risk was highest in hamstring autograft recipients compared with allograft recipients and bone-patellar tendon-bone autograft recipients.
Infect Control Hosp Epidemiol 2016;37:827–833
Objective Sepsis Surveillance Using Electronic Clinical Data
- Chanu Rhee, Sameer Kadri, Susan S. Huang, Michael V. Murphy, Lingling Li, Richard Platt, Michael Klompas
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 37 / Issue 2 / February 2016
- Published online by Cambridge University Press:
- 03 November 2015, pp. 163-171
- Print publication:
- February 2016
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OBJECTIVE
To compare the accuracy of surveillance of severe sepsis using electronic health record clinical data vs claims and to compare incidence and mortality trends using both methods.
DESIGNWe created an electronic health record–based surveillance definition for severe sepsis using clinical indicators of infection (blood culture and antibiotic orders) and concurrent organ dysfunction (vasopressors, mechanical ventilation, and/or abnormal laboratory values). We reviewed 1,000 randomly selected medical charts to characterize the definition’s accuracy and stability over time compared with a claims-based definition requiring infection and organ dysfunction codes. We compared incidence and mortality trends from 2003–2012 using both methods.
SETTINGTwo US academic hospitals.
PATIENTSAdult inpatients.
RESULTSThe electronic health record–based clinical surveillance definition had stable and high sensitivity over time (77% in 2003–2009 vs 80% in 2012, P=.58) whereas the sensitivity of claims increased (52% in 2003–2009 vs 67% in 2012, P=.02). Positive predictive values for claims and clinical surveillance definitions were comparable (55% vs 53%, P=.65) and stable over time. From 2003 to 2012, severe sepsis incidence imputed from claims rose by 72% (95% CI, 57%–88%) and absolute mortality declined by 5.4% (95% CI, 4.6%–6.7%). In contrast, incidence using the clinical surveillance definition increased by 7.7% (95% CI, −1.1% to 17%) and mortality declined by 1.7% (95% CI, 1.1%–2.3%).
CONCLUSIONSSepsis surveillance using clinical data is more sensitive and more stable over time compared with claims and can be done electronically. This may enable more reliable estimates of sepsis burden and trends.
Infect. Control Hosp. Epidemiol. 2016;37(2):163–171
Contributors
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- By Mitchell Aboulafia, Frederick Adams, Marilyn McCord Adams, Robert M. Adams, Laird Addis, James W. Allard, David Allison, William P. Alston, Karl Ameriks, C. Anthony Anderson, David Leech Anderson, Lanier Anderson, Roger Ariew, David Armstrong, Denis G. Arnold, E. J. Ashworth, Margaret Atherton, Robin Attfield, Bruce Aune, Edward Wilson Averill, Jody Azzouni, Kent Bach, Andrew Bailey, Lynne Rudder Baker, Thomas R. Baldwin, Jon Barwise, George Bealer, William Bechtel, Lawrence C. Becker, Mark A. Bedau, Ernst Behler, José A. Benardete, Ermanno Bencivenga, Jan Berg, Michael Bergmann, Robert L. Bernasconi, Sven Bernecker, Bernard Berofsky, Rod Bertolet, Charles J. Beyer, Christian Beyer, Joseph Bien, Joseph Bien, Peg Birmingham, Ivan Boh, James Bohman, Daniel Bonevac, Laurence BonJour, William J. Bouwsma, Raymond D. Bradley, Myles Brand, Richard B. Brandt, Michael E. Bratman, Stephen E. Braude, Daniel Breazeale, Angela Breitenbach, Jason Bridges, David O. Brink, Gordon G. Brittan, Justin Broackes, Dan W. Brock, Aaron Bronfman, Jeffrey E. Brower, Bartosz Brozek, Anthony Brueckner, Jeffrey Bub, Lara Buchak, Otavio Bueno, Ann E. Bumpus, Robert W. Burch, John Burgess, Arthur W. Burks, Panayot Butchvarov, Robert E. Butts, Marina Bykova, Patrick Byrne, David Carr, Noël Carroll, Edward S. Casey, Victor Caston, Victor Caston, Albert Casullo, Robert L. Causey, Alan K. L. Chan, Ruth Chang, Deen K. Chatterjee, Andrew Chignell, Roderick M. Chisholm, Kelly J. Clark, E. J. Coffman, Robin Collins, Brian P. Copenhaver, John Corcoran, John Cottingham, Roger Crisp, Frederick J. Crosson, Antonio S. Cua, Phillip D. Cummins, Martin Curd, Adam Cureton, Andrew Cutrofello, Stephen Darwall, Paul Sheldon Davies, Wayne A. Davis, Timothy Joseph Day, Claudio de Almeida, Mario De Caro, Mario De Caro, John Deigh, C. F. Delaney, Daniel C. Dennett, Michael R. DePaul, Michael Detlefsen, Daniel Trent Devereux, Philip E. Devine, John M. Dillon, Martin C. Dillon, Robert DiSalle, Mary Domski, Alan Donagan, Paul Draper, Fred Dretske, Mircea Dumitru, Wilhelm Dupré, Gerald Dworkin, John Earman, Ellery Eells, Catherine Z. Elgin, Berent Enç, Ronald P. Endicott, Edward Erwin, John Etchemendy, C. Stephen Evans, Susan L. Feagin, Solomon Feferman, Richard Feldman, Arthur Fine, Maurice A. Finocchiaro, William FitzPatrick, Richard E. Flathman, Gvozden Flego, Richard Foley, Graeme Forbes, Rainer Forst, Malcolm R. Forster, Daniel Fouke, Patrick Francken, Samuel Freeman, Elizabeth Fricker, Miranda Fricker, Michael Friedman, Michael Fuerstein, Richard A. Fumerton, Alan Gabbey, Pieranna Garavaso, Daniel Garber, Jorge L. A. Garcia, Robert K. Garcia, Don Garrett, Philip Gasper, Gerald Gaus, Berys Gaut, Bernard Gert, Roger F. Gibson, Cody Gilmore, Carl Ginet, Alan H. Goldman, Alvin I. Goldman, Alfonso Gömez-Lobo, Lenn E. Goodman, Robert M. Gordon, Stefan Gosepath, Jorge J. E. Gracia, Daniel W. Graham, George A. Graham, Peter J. Graham, Richard E. Grandy, I. Grattan-Guinness, John Greco, Philip T. Grier, Nicholas Griffin, Nicholas Griffin, David A. Griffiths, Paul J. Griffiths, Stephen R. Grimm, Charles L. Griswold, Charles B. Guignon, Pete A. Y. Gunter, Dimitri Gutas, Gary Gutting, Paul Guyer, Kwame Gyekye, Oscar A. Haac, Raul Hakli, Raul Hakli, Michael Hallett, Edward C. Halper, Jean Hampton, R. James Hankinson, K. R. Hanley, Russell Hardin, Robert M. Harnish, William Harper, David Harrah, Kevin Hart, Ali Hasan, William Hasker, John Haugeland, Roger Hausheer, William Heald, Peter Heath, Richard Heck, John F. Heil, Vincent F. Hendricks, Stephen Hetherington, Francis Heylighen, Kathleen Marie Higgins, Risto Hilpinen, Harold T. Hodes, Joshua Hoffman, Alan Holland, Robert L. Holmes, Richard Holton, Brad W. Hooker, Terence E. Horgan, Tamara Horowitz, Paul Horwich, Vittorio Hösle, Paul Hoβfeld, Daniel Howard-Snyder, Frances Howard-Snyder, Anne Hudson, Deal W. Hudson, Carl A. Huffman, David L. Hull, Patricia Huntington, Thomas Hurka, Paul Hurley, Rosalind Hursthouse, Guillermo Hurtado, Ronald E. Hustwit, Sarah Hutton, Jonathan Jenkins Ichikawa, Harry A. Ide, David Ingram, Philip J. Ivanhoe, Alfred L. Ivry, Frank Jackson, Dale Jacquette, Joseph Jedwab, Richard Jeffrey, David Alan Johnson, Edward Johnson, Mark D. Jordan, Richard Joyce, Hwa Yol Jung, Robert Hillary Kane, Tomis Kapitan, Jacquelyn Ann K. Kegley, James A. Keller, Ralph Kennedy, Sergei Khoruzhii, Jaegwon Kim, Yersu Kim, Nathan L. King, Patricia Kitcher, Peter D. Klein, E. D. Klemke, Virginia Klenk, George L. Kline, Christian Klotz, Simo Knuuttila, Joseph J. Kockelmans, Konstantin Kolenda, Sebastian Tomasz Kołodziejczyk, Isaac Kramnick, Richard Kraut, Fred Kroon, Manfred Kuehn, Steven T. Kuhn, Henry E. Kyburg, John Lachs, Jennifer Lackey, Stephen E. Lahey, Andrea Lavazza, Thomas H. Leahey, Joo Heung Lee, Keith Lehrer, Dorothy Leland, Noah M. Lemos, Ernest LePore, Sarah-Jane Leslie, Isaac Levi, Andrew Levine, Alan E. Lewis, Daniel E. Little, Shu-hsien Liu, Shu-hsien Liu, Alan K. L. Chan, Brian Loar, Lawrence B. Lombard, John Longeway, Dominic McIver Lopes, Michael J. Loux, E. J. Lowe, Steven Luper, Eugene C. Luschei, William G. Lycan, David Lyons, David Macarthur, Danielle Macbeth, Scott MacDonald, Jacob L. Mackey, Louis H. Mackey, Penelope Mackie, Edward H. Madden, Penelope Maddy, G. B. Madison, Bernd Magnus, Pekka Mäkelä, Rudolf A. Makkreel, David Manley, William E. Mann (W.E.M.), Vladimir Marchenkov, Peter Markie, Jean-Pierre Marquis, Ausonio Marras, Mike W. Martin, A. P. Martinich, William L. McBride, David McCabe, Storrs McCall, Hugh J. McCann, Robert N. McCauley, John J. McDermott, Sarah McGrath, Ralph McInerny, Daniel J. McKaughan, Thomas McKay, Michael McKinsey, Brian P. McLaughlin, Ernan McMullin, Anthonie Meijers, Jack W. Meiland, William Jason Melanson, Alfred R. Mele, Joseph R. Mendola, Christopher Menzel, Michael J. Meyer, Christian B. Miller, David W. Miller, Peter Millican, Robert N. Minor, Phillip Mitsis, James A. Montmarquet, Michael S. Moore, Tim Moore, Benjamin Morison, Donald R. Morrison, Stephen J. Morse, Paul K. Moser, Alexander P. D. Mourelatos, Ian Mueller, James Bernard Murphy, Mark C. Murphy, Steven Nadler, Jan Narveson, Alan Nelson, Jerome Neu, Samuel Newlands, Kai Nielsen, Ilkka Niiniluoto, Carlos G. Noreña, Calvin G. Normore, David Fate Norton, Nikolaj Nottelmann, Donald Nute, David S. Oderberg, Steve Odin, Michael O’Rourke, Willard G. Oxtoby, Heinz Paetzold, George S. Pappas, Anthony J. Parel, Lydia Patton, R. P. Peerenboom, Francis Jeffry Pelletier, Adriaan T. Peperzak, Derk Pereboom, Jaroslav Peregrin, Glen Pettigrove, Philip Pettit, Edmund L. Pincoffs, Andrew Pinsent, Robert B. Pippin, Alvin Plantinga, Louis P. Pojman, Richard H. Popkin, John F. Post, Carl J. Posy, William J. Prior, Richard Purtill, Michael Quante, Philip L. Quinn, Philip L. Quinn, Elizabeth S. Radcliffe, Diana Raffman, Gerard Raulet, Stephen L. Read, Andrews Reath, Andrew Reisner, Nicholas Rescher, Henry S. Richardson, Robert C. Richardson, Thomas Ricketts, Wayne D. Riggs, Mark Roberts, Robert C. Roberts, Luke Robinson, Alexander Rosenberg, Gary Rosenkranz, Bernice Glatzer Rosenthal, Adina L. Roskies, William L. Rowe, T. M. Rudavsky, Michael Ruse, Bruce Russell, Lilly-Marlene Russow, Dan Ryder, R. M. Sainsbury, Joseph Salerno, Nathan Salmon, Wesley C. Salmon, Constantine Sandis, David H. Sanford, Marco Santambrogio, David Sapire, Ruth A. Saunders, Geoffrey Sayre-McCord, Charles Sayward, James P. Scanlan, Richard Schacht, Tamar Schapiro, Frederick F. Schmitt, Jerome B. Schneewind, Calvin O. Schrag, Alan D. Schrift, George F. Schumm, Jean-Loup Seban, David N. Sedley, Kenneth Seeskin, Krister Segerberg, Charlene Haddock Seigfried, Dennis M. Senchuk, James F. Sennett, William Lad Sessions, Stewart Shapiro, Tommie Shelby, Donald W. Sherburne, Christopher Shields, Roger A. Shiner, Sydney Shoemaker, Robert K. Shope, Kwong-loi Shun, Wilfried Sieg, A. John Simmons, Robert L. Simon, Marcus G. Singer, Georgette Sinkler, Walter Sinnott-Armstrong, Matti T. Sintonen, Lawrence Sklar, Brian Skyrms, Robert C. Sleigh, Michael Anthony Slote, Hans Sluga, Barry Smith, Michael Smith, Robin Smith, Robert Sokolowski, Robert C. Solomon, Marta Soniewicka, Philip Soper, Ernest Sosa, Nicholas Southwood, Paul Vincent Spade, T. L. S. Sprigge, Eric O. Springsted, George J. Stack, Rebecca Stangl, Jason Stanley, Florian Steinberger, Sören Stenlund, Christopher Stephens, James P. Sterba, Josef Stern, Matthias Steup, M. A. Stewart, Leopold Stubenberg, Edith Dudley Sulla, Frederick Suppe, Jere Paul Surber, David George Sussman, Sigrún Svavarsdóttir, Zeno G. Swijtink, Richard Swinburne, Charles C. Taliaferro, Robert B. Talisse, John Tasioulas, Paul Teller, Larry S. Temkin, Mark Textor, H. S. Thayer, Peter Thielke, Alan Thomas, Amie L. Thomasson, Katherine Thomson-Jones, Joshua C. Thurow, Vzalerie Tiberius, Terrence N. Tice, Paul Tidman, Mark C. Timmons, William Tolhurst, James E. Tomberlin, Rosemarie Tong, Lawrence Torcello, Kelly Trogdon, J. D. Trout, Robert E. Tully, Raimo Tuomela, John Turri, Martin M. Tweedale, Thomas Uebel, Jennifer Uleman, James Van Cleve, Harry van der Linden, Peter van Inwagen, Bryan W. Van Norden, René van Woudenberg, Donald Phillip Verene, Samantha Vice, Thomas Vinci, Donald Wayne Viney, Barbara Von Eckardt, Peter B. M. Vranas, Steven J. Wagner, William J. Wainwright, Paul E. Walker, Robert E. Wall, Craig Walton, Douglas Walton, Eric Watkins, Richard A. Watson, Michael V. Wedin, Rudolph H. Weingartner, Paul Weirich, Paul J. Weithman, Carl Wellman, Howard Wettstein, Samuel C. Wheeler, Stephen A. White, Jennifer Whiting, Edward R. Wierenga, Michael Williams, Fred Wilson, W. Kent Wilson, Kenneth P. Winkler, John F. Wippel, Jan Woleński, Allan B. Wolter, Nicholas P. Wolterstorff, Rega Wood, W. Jay Wood, Paul Woodruff, Alison Wylie, Gideon Yaffe, Takashi Yagisawa, Yutaka Yamamoto, Keith E. Yandell, Xiaomei Yang, Dean Zimmerman, Günter Zoller, Catherine Zuckert, Michael Zuckert, Jack A. Zupko (J.A.Z.)
- Edited by Robert Audi, University of Notre Dame, Indiana
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- Book:
- The Cambridge Dictionary of Philosophy
- Published online:
- 05 August 2015
- Print publication:
- 27 April 2015, pp ix-xxx
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Severity of Disease Estimation and Risk-Adjustment for Comparison of Outcomes in Mechanically Ventilated Patients Using Electronic Routine Care Data
- Maaike S. M. van Mourik, Karel G. M. Moons, MICU Registry, Michael V. Murphy, Marc J. M. Bonten, Michael Klompas
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 36 / Issue 7 / July 2015
- Published online by Cambridge University Press:
- 17 April 2015, pp. 807-815
- Print publication:
- July 2015
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BACKGROUND
Valid comparison between hospitals for benchmarking or pay-for-performance incentives requires accurate correction for underlying disease severity (case-mix). However, existing models are either very simplistic or require extensive manual data collection.
OBJECTIVETo develop a disease severity prediction model based solely on data routinely available in electronic health records for risk-adjustment in mechanically ventilated patients.
DESIGNRetrospective cohort study.
PARTICIPANTSMechanically ventilated patients from a single tertiary medical center (2006–2012).
METHODSPredictors were extracted from electronic data repositories (demographic characteristics, laboratory tests, medications, microbiology results, procedure codes, and comorbidities) and assessed for feasibility and generalizability of data collection. Models for in-hospital mortality of increasing complexity were built using logistic regression. Estimated disease severity from these models was linked to rates of ventilator-associated events.
RESULTSA total of 20,028 patients were initiated on mechanical ventilation, of whom 3,027 deceased in hospital. For models of incremental complexity, area under the receiver operating characteristic curve ranged from 0.83 to 0.88. A simple model including demographic characteristics, type of intensive care unit, time to intubation, blood culture sampling, 8 common laboratory tests, and surgical status achieved an area under the receiver operating characteristic curve of 0.87 (95% CI, 0.86–0.88) with adequate calibration. The estimated disease severity was associated with occurrence of ventilator-associated events.
CONCLUSIONSAccurate estimation of disease severity in ventilated patients using electronic, routine care data was feasible using simple models. These estimates may be useful for risk-adjustment in ventilated patients. Additional research is necessary to validate and refine these models.
Infect. Control Hosp. Epidemiol. 2015;36(7):807–815
The Utility of Claims Data for Infection Surveillance following Anterior Cruciate Ligament Reconstruction1
- Michael V. Murphy, Dongyi (Tony) Du, Wei Hua, Karoll J. Cortez, Melissa G. Butler, Robert L. Davis, Thomas DeCoster, Laura Johnson, Lingling Li, Cynthia Nakasato, James D. Nordin, Mayur Ramesh, Michael Schum, Ann Von Worley, Craig Zinderman, Richard Platt, Michael Klompas
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 35 / Issue 6 / 01 June 2014
- Published online by Cambridge University Press:
- 10 May 2016, pp. 652-659
- Print publication:
- 01 June 2014
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Objective.
To explore the feasibility of identifying anterior cruciate ligament (ACL) allograft implantations and infections using claims.
Design.Retrospective cohort study.
Methods.We identified ACL reconstructions using procedure codes at 6 health plans from 2000 to 2008. We then identified potential infections using claims-based indicators of infection, including diagnoses, procedures, antibiotic dispensings, specialty consultations, emergency department visits, and hospitalizations. Patients’ medical records were reviewed to determine graft type, validate infection status, and calculate sensitivity and positive predictive value (PPV) for indicators of ACL allografts and infections.
Results.A total of 11,778 patients with codes for ACL reconstruction were identified. After chart review, PPV for ACL reconstruction was 96% (95% confidence interval [CI], 94%–97%). Of the confirmed ACL reconstructions, 39% (95% CI, 35%–42%) used allograft tissues. The deep infection rate after ACL reconstruction was 1.0% (95% CI, 0.7%–1.4%). The odds ratio of infection for allografts versus autografts was 0.41 (95% CI, 0.19–0.78). Sensitivity of individual claims-based indicators for deep infection after ACL reconstruction ranged from 0% to 75% and PPV from 0% to 100%. Claims-based infection indicators could be combined to enhance sensitivity or PPV but not both.
Conclusions.While claims data accurately identify ACL reconstructions, they poorly distinguish between allografts and autografts and identify infections with variable accuracy. Claims data could be useful to monitor infection trends after ACL reconstruction, with different algorithms optimized for different surveillance goals.
Infect Control Hosp Epidemiol 2014;35(6):652–659
Descriptive Epidemiology and Attributable Morbidity of Ventilator-Associated Events
- Michael Klompas, Ken Kleinman, Michael V. Murphy, for the CDC Prevention Epicenters Program
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 35 / Issue 5 / May 2014
- Published online by Cambridge University Press:
- 10 May 2016, pp. 502-510
- Print publication:
- May 2014
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Objective.
The Centers for Disease Control and Prevention implemented new surveillance definitions for ventilator-associated events (VAEs) in January 2013. We describe the epidemiology, attributable morbidity, and attributable mortality of VAEs.
Design.Retrospective cohort study.
Setting.Academic tertiary care center.
Patients.All patients initiated on mechanical ventilation between January 1, 2006, and December 31, 2011.
Methods.We calculated and compared VAE hazard ratios, antibiotic exposures, microbiology, attributable morbidity, and attributable mortality for all VAE tiers.
Results.Among 20,356 episodes of mechanical ventilation, there were 1,141 (5.6%) ventilator-associated condition (VAC) events, 431 (2.1%) infection-related ventilator-associated complications (IVACs), 139 (0.7%) possible pneumonias, and 127 (0.6%) probable pneumonias. VAC hazard rates were highest in medical, surgical, and thoracic units and lowest in cardiac and neuroscience units. The median number of days to VAC onset was 6 (interquartile range, 4–11). The proportion of IVACs to VACs ranged from 29% in medical units to 42% in surgical units. Patients with probable pneumonia were more likely to be prescribed nafcillin, ceftazidime, and fluroquinolones compared with patients with possible pneumonia or IVAC-alone. The most frequendy isolated organisms were Staphylococcus aureus (29%), Pseudomonas aeruginosa (14%), and Enterobacter species (7.9%). Compared with matched controls, VAEs were associated with more days to extubation (relative rate, 3.12 [95% confidence interval (CI), 2.96–3.29]), more days to hospital discharge (relative rate, 1.46 [95% CI, 1.37–1.55]), and higher hospital mortality risk (odds ratio, 1.98 [95% CI, 1.60–2.44]).
Conclusions.VAEs are common and morbid. Prevention strategies targeting VAEs are needed.
Contributors
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- By Núria Duran Adroher, Sergio Aguilar-Gaxiola, Jordi Alonso, Ali Obaid Al-Hamzawi, Laura Helena Andrade, Matthias C. Angermeyer, James Anthony, Corina Benjet, Guilherme Borges, Joshua Breslau, Evelyn J. Bromet, Ronny Bruffaerts, Brendan Bunting, Huibert Burger, José Miguel Caldas de Almeida, Graça Cardoso, Somnath Chatterji, Wai Tat Chiu, Giovanni de Girolamo, Ron de Graaf, Peter de Jonge, Koen Demyttenaere, John Fayyad, Alize J. Ferrari, Silvia Florescu, Anne M. Gadermann, Meyer Glantz, Jen Green, Michael J. Gruber, Oye Gureje, Josep Maria Haro, Yanling He, Steven G. Heeringa, Hristo Hinkov, Chiyi Hu, Yueqin Huang, Irving Hwang, Robert Jin, Elie G. Karam, Norito Kawakami, Ronald C. Kessler, Lola Kola, Viviane Kovess-Masféty, Michael C. Lane, Carmen Lara, William LeBlanc, Sing Lee, Jean-Pierre Lépine, Daphna Levinson, Zhaorui Liu, Gustavo Loera, Herbert Marschinger, Katie A. McLaughlin, Maria Elena Medina-Mora, Elizabeth Miller, Samuel D. Murphy, Aimee Nasser Karam, Matthew K. Nock, Mark A. Oakley Browne, Siobhan O’Neill, Johan Ormel, Beth-Ellen Pennell, Maria V. Petukhova, José Posada-Villa, Rajesh Sagar, Mohammad Salih Khalaf, Nancy A. Sampson, Kathleen Saunders, Michael Schoenbaum, Kate M. Scott, Soraya Seedat, Victoria Shahly, Dan J. Stein, Hisateru Tachimori, Nezar Ismet Taib, Adley Tsang, T. Bedirhan Üstün, Maria Carmen Viana, Gemma Vilagut, Michael R. Von Korff, J. Elisabeth Wells, Harvey A. Whiteford, David R. Williams, Ben Wu, Miguel Xavier, Alan M. Zaslavsky
- Edited by Jordi Alonso, Universitat Pompeu Fabra, Barcelona, Somnath Chatterji, World Health Organization, Geneva, Yanling He
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- The Burdens of Mental Disorders
- Print publication:
- 09 May 2013, pp ix-xii
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- By Maricela Alarcón, Laura A. Baker, Trygve Bakken, Serena Bezdjian, Andrew W. Bergen, Laura J. Bierut, Andrew C. Chen, C. Robert Cloninger, David W. Craig, Anibal Cravchik, Raymond R. Crowe, Carlos Cruchaga, Joseph F. Cubells, Marcella Devoto, Stephen H. Dinwiddie, Howard J. Edenberg, Josephine Elia, Craig A. Erickson, Thomas V. Fernandez, Xiaowu Gai, Elliot Gershon, Daniel H. Geschwind, Alison M. Goate, Hugh M. D. Gurling, Hakon Hakonarson, Sarah M. Hartz, Akiko Hayashi-Takagi, Jinger Hoop, Hanna Jaaro-Peled, Atsushi Kamiya, John S. K. Kauwe, Walter H. Kaye, John R. Kelsoe, Karestan C. Koenen, Mary Jeanne Kreek, Francesca Lantieri, James F. Leckman, Ondrej Libiger, Falk W. Lohoff, Michael J. Lyons, Christopher J. McDougle, Andrew McQuillin, Kathleen Ries Merikangas, Maria G. Motlagh, Pablo R. Moya, Dennis L. Murphy, Eric J. Nestler, Alexander B. Niculescu, David A. Nielsen, Khendra I. Peay, Bernice Porjesz, James B. Potash, R. Arlen Price, Dmitri Proudnikov, Adrian Raine, Madhavi Rangaswamy, William Renthal, Akira Sawa, Nicholas J. Schork, Saurav Seshadri, Shelley D. Smith, Wanli W. Smith, Toshinobu Takeda, Ardesheer Talati, Yi-Lang Tang, Kiara Timpano, Ali Torkamani, Catherine Tuvblad, Myrna M. Weissman, Jens R. Wendland, Jennifer Wessel, Peter S. White, Vadim Yuferov, Tyler Zink
- Edited by John I. Nurnberger, Jr, Wade Berrettini, University of Pennsylvania School of Medicine
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- Book:
- Principles of Psychiatric Genetics
- Published online:
- 05 October 2012
- Print publication:
- 13 September 2012, pp vii-x
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Contributors
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- By Brian Abaluck, Imran M. Ahmed, Torbjörn Åkerstedt, Sonia Ancoli-Israel, Anna Anund, Donna L. Arand, Isabelle Arnulf, Fiona C. Baker, Thomas J. Balkin, Christian R. Baumann, Michel Billiard, Michael H. Bonnet, Meredith Broderick, Christian Cajochen, Scott S. Campbell, Sarah Laxhmi Chellappa, Fabio Cirignotta, Yves Dauvilliers, David F. Dinges, Christopher L. Drake, Neil T. Feldman, Catherine S. Fichten, Charles F. P. George, Namni Goel, Christian Guilleminault, Shelby F. Harris, Melinda L. Jackson, Joseph Kaleyias, Göran Kecklund, William D. S. Killgore, Sanjeev V. Kothare, Andrew D. Krystal, Clete A. Kushida, Luc Laberge, Gert Jan Lammers, Christopher P. Landrigan, Sandrine H. Launois, Patrick Levy, Eva Libman, Yinghui Low, Jennifer L. Martin, Una D. McCann, Renee Monderer, Patricia J. Murphy, Sona Nevsimalova, Seiji Nishino, Eric A. Nofzinger, Maurice M. Ohayon, Masashi Okuro, Jean-Louis Pepin, Fabio Pizza, Anil N. Rama, David B. Rye, Paula K. Schweitzer, Hideto Shinno, Renaud Tamsier, Michael J. Thorpy, Astrid van der Heide, Hans P. A. Van Dongen, Mari Viola-Saltzman, Jim Waterhouse, Nathaniel F. Watson, Rajive Zachariah
- Edited by Michael J. Thorpy, Michel Billiard
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- Book:
- Sleepiness
- Published online:
- 04 February 2011
- Print publication:
- 27 January 2011, pp vii-x
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Contributors
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- By Steven Ball, Simon V. Baudouin, Jane K. Beattie, Ann E. Black, Mark S. Cooper, Peter A. Farling, A. B. Johan Groeneveld, George M. Hall, Jennifer M. Hunter, Saheed Khan, Angus McEwan, Philip R. Michael, Brian Mullan, Paul G. Murphy, Grainne Nicholson, Pauline M. O’ Neil, Christopher J. R. Parker, Barbara Philips, Charles S. Reilly, Heidi J. Robertshaw, Neville Robinson, Mark E. Seubert, Martin Smith, David J. Vaughan, Nigel R. Webster, Saffron Whitehead
- Edited by George M. Hall, St George's Hospital, London, Jennifer M. Hunter, University of Liverpool, Mark S. Cooper, University of Birmingham
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- Book:
- Core Topics in Endocrinology in Anaesthesia and Critical Care
- Published online:
- 06 July 2010
- Print publication:
- 01 April 2010, pp vii-viii
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Keck constraints on a varying fine-structure constant: wavelength calibration errors
- Michael T. Murphy, John K. Webb, Victor V. Flambaum
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- Journal:
- Proceedings of the International Astronomical Union / Volume 5 / Issue H15 / November 2009
- Published online by Cambridge University Press:
- 21 October 2010, p. 315
- Print publication:
- November 2009
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The Keck telescope's High Resolution Spectrograph (HIRES) has previously provided evidence for a smaller fine-structure constant, α, compared to the current laboratory value, in a sample of 143 quasar absorption systems: Δα/α=(-0.57±0.11)×10−5. The analysis was based on a variety of metal-ion transitions which, if α varies, experience different relative velocity shifts. This result is yet to be robustly contradicted, or confirmed, by measurements on other telescopes and spectrographs; it remains crucial to do so. It is also important to consider new possible instrumental systematic effects which may explain the Keck/HIRES results. Griest et al. (2009) recently identified distortions in the echelle order wavelength scales of HIRES with typical amplitudes ±250 m s−1. Here we investigate the effect such distortions may have had on the Keck/HIRES varying α results. Using a simple model of these intra-order distortions, we demonstrate that they cause a random effect on Δα/α from absorber to absorber because the systems are at different redshifts, placing the relevant absorption lines at different positions in different echelle orders. The typical magnitude of the effect on Δα/α is ~0.4×10−5 for individual absorbers which, compared to the median error on Δα/α in the sample, ~1.9×10−5, is relatively small. Consequently, the weighted mean value changes by less than 0.05×10−5 if the corrections we calculate are applied. Unsurprisingly, with corrections this small, we do not find direct evidence that applying them is actually warranted. Nevertheless, we urge caution, particularly for analyses aiming to achieve high precision Δα/α measurements on individual systems or small samples, that a much more detailed understanding of such intra-order distortions and their dependence on observational parameters is important if they are to be avoided or modelled reliably.
Pattern Analysis Meets Cell Biology
- Robert F. Murphy, Michael V. Boland
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- Journal:
- Microscopy and Microanalysis / Volume 5 / Issue S2 / August 1999
- Published online by Cambridge University Press:
- 02 July 2020, pp. 510-511
- Print publication:
- August 1999
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The widespread availability of automated fluorescence microscope systems has led to an explosion in the acquisition of digital images by biologists. This has created a need for computer applications that automate the analysis of these images and an opportunity to develop new approaches to classical problems. An example is the determination of the subcellular location of a protein from immunofluorescence images (or, more recently, images of GFP fluorescence). Current practice is to compare such images to mental images that a cell biologist has developed over time, and to reach a tentative conclusion about the structure (i.e., organelle) that a protein is found in. Since this determination is subjective, it often must be followed up by double labeling with a marker protein from the suspected structure.
As an initial exploration of the feasibility of automating the determination of subcellular location, we developed a system that is able to classify the localization patterns characteristic of five cellular molecules (proteins and DNA) in Chinese Hamster Ovary (CHO) cells. Images were acquired on an epifluorescence microscope after the cells had been fixed, permeabilized, and labeled with appropriate fluorescent reagents (usually antibodies conjugated to fluorescent dyes). The labels used were directed against a Golgi protein, a lysosomal protein, a nuclear protein, a cytoskeletal protein, and DNA.
An open letter to the President
- Louis Appleby, Glyn Lewis, R. H. Cawley, Isaac Marks, Pamela Taylor, Raymond Levy, Klaus Bergmann, Nick Temple, Brian Toone, Stephen Wolkind, Eileen Joyce, Michael Gill, E. Guinness, Michael Farrell, V. L. Nimgaonkar, Deborah Chee, L. Mynors-Wallis, Peter Jones, Penny Thompson, Rachel Brown, H. Ring, Claire Gerada, Jenny Bearn, S. G. Potts, B. C. Beats, Lyn Pilowsky, Judith Jackson, G. F. Searle, Keith Lloyd, Helena Fox, Parimela Moodley, Tony Maden, S. W. Lewis, M. W. Orrell, D. Murphy, W. J. Levy, Brian Green, Alex Buchanan, Marian J. Perkins, Peter Misch, Gillian Mezey, M. Murphy, Anthony David, Robert Kerwin, Shirine Pezeshgi, M. Abas, P. Silverstone, J. H. Stone, G. O. 'Sullivan, R. Araya, R. Ball, E. Palazidou, Jane Milton, Anthony J. Pelosi, Janet Carrick, Dinesh Bhugra, Chris Hollis, Mark Berelowitz, N. R. Fisher, Deborah Brooke, Charles Hindler, Malcolm Battersby, Abigail Seltzer
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- Journal:
- Psychiatric Bulletin / Volume 12 / Issue 12 / December 1988
- Published online by Cambridge University Press:
- 02 January 2018, p. 554
- Print publication:
- December 1988
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