13 results
Evaluating automated electronic case report form data entry from electronic health records
- Alex C. Cheng, Mary K. Banasiewicz, Jakea D. Johnson, Lina Sulieman, Nan Kennedy, Francesco Delacqua, Adam A. Lewis, Meghan M. Joly, Amanda J. Bistran-Hall, Sean Collins, Wesley H. Self, Matthew S. Shotwell, Christopher J. Lindsell, Paul A. Harris
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- Journal:
- Journal of Clinical and Translational Science / Volume 7 / Issue 1 / 2023
- Published online by Cambridge University Press:
- 14 December 2022, e29
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Background:
Many clinical trials leverage real-world data. Typically, these data are manually abstracted from electronic health records (EHRs) and entered into electronic case report forms (CRFs), a time and labor-intensive process that is also error-prone and may miss information. Automated transfer of data from EHRs to eCRFs has the potential to reduce data abstraction and entry burden as well as improve data quality and safety.
Methods:We conducted a test of automated EHR-to-CRF data transfer for 40 participants in a clinical trial of hospitalized COVID-19 patients. We determined which coordinator-entered data could be automated from the EHR (coverage), and the frequency with which the values from the automated EHR feed and values entered by study personnel for the actual study matched exactly (concordance).
Results:The automated EHR feed populated 10,081/11,952 (84%) coordinator-completed values. For fields where both the automation and study personnel provided data, the values matched exactly 89% of the time. Highest concordance was for daily lab results (94%), which also required the most personnel resources (30 minutes per participant). In a detailed analysis of 196 instances where personnel and automation entered values differed, both a study coordinator and a data analyst agreed that 152 (78%) instances were a result of data entry error.
Conclusions:An automated EHR feed has the potential to significantly decrease study personnel effort while improving the accuracy of CRF data.
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach – CORRIGENDUM
- Micah Cearns, Azmeraw T. Amare, Klaus Oliver Schubert, Anbupalam Thalamuthu, Joseph Frank, Fabian Streit, Mazda Adli, Nirmala Akula, Kazufumi Akiyama, Raffaella Ardau, Bárbara Arias, JeanMichel Aubry, Lena Backlund, Abesh Kumar Bhattacharjee, Frank Bellivier, Antonio Benabarre, Susanne Bengesser, Joanna M. Biernacka, Armin Birner, Clara Brichant-Petitjean, Pablo Cervantes, HsiChung Chen, Caterina Chillotti, Sven Cichon, Cristiana Cruceanu, Piotr M. Czerski, Nina Dalkner, Alexandre Dayer, Franziska Degenhardt, Maria Del Zompo, J. Raymond DePaulo, Bruno Étain, Peter Falkai, Andreas J. Forstner, Louise Frisen, Mark A. Frye, Janice M. Fullerton, Sébastien Gard, Julie S. Garnham, Fernando S. Goes, Maria Grigoroiu-Serbanescu, Paul Grof, Ryota Hashimoto, Joanna Hauser, Urs Heilbronner, Stefan Herms, Per Hoffmann, Andrea Hofmann, Liping Hou, Yi-Hsiang Hsu, Stephane Jamain, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, Po-Hsiu Kuo, Tadafumi Kato, John Kelsoe, Sarah Kittel-Schneider, Sebastian Kliwicki, Barbara König, Ichiro Kusumi, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G. Leckband, Mario Maj, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Mirko Manchia, Lina Martinsson, Michael J. McCarthy, Susan McElroy, Francesc Colom, Marina Mitjans, Francis M. Mondimore, Palmiero Monteleone, Caroline M. Nievergelt, Markus M. Nöthen, Tomas Novák, Claire O'Donovan, Norio Ozaki, Vincent Millischer, Sergi Papiol, Andrea Pfennig, Claudia Pisanu, James B. Potash, Andreas Reif, Eva Reininghaus, Guy A. Rouleau, Janusz K. Rybakowski, Martin Schalling, Peter R. Schofield, Barbara W. Schweizer, Giovanni Severino, Tatyana Shekhtman, Paul D. Shilling, Katzutaka Shimoda, Christian Simhandl, Claire M. Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopkova, Fasil TekolaAyele, Alfonso Tortorella, Gustavo Turecki, Julia Veeh, Eduard Vieta, Stephanie H. Witt, Gloria Roberts, Peter P. Zandi, Martin Alda, Michael Bauer, Francis J. McMahon, Philip B. Mitchell, Thomas G. Schulze, Marcella Rietschel, Scott R. Clark, Bernhard T. Baune
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- Journal:
- The British Journal of Psychiatry / Volume 221 / Issue 2 / August 2022
- Published online by Cambridge University Press:
- 04 May 2022, p. 494
- Print publication:
- August 2022
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Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach
- Micah Cearns, Azmeraw T. Amare, Klaus Oliver Schubert, Anbupalam Thalamuthu, Joseph Frank, Fabian Streit, Mazda Adli, Nirmala Akula, Kazufumi Akiyama, Raffaella Ardau, Bárbara Arias, Jean-Michel Aubry, Lena Backlund, Abesh Kumar Bhattacharjee, Frank Bellivier, Antonio Benabarre, Susanne Bengesser, Joanna M. Biernacka, Armin Birner, Clara Brichant-Petitjean, Pablo Cervantes, Hsi-Chung Chen, Caterina Chillotti, Sven Cichon, Cristiana Cruceanu, Piotr M. Czerski, Nina Dalkner, Alexandre Dayer, Franziska Degenhardt, Maria Del Zompo, J. Raymond DePaulo, Bruno Étain, Peter Falkai, Andreas J. Forstner, Louise Frisen, Mark A. Frye, Janice M. Fullerton, Sébastien Gard, Julie S. Garnham, Fernando S. Goes, Maria Grigoroiu-Serbanescu, Paul Grof, Ryota Hashimoto, Joanna Hauser, Urs Heilbronner, Stefan Herms, Per Hoffmann, Andrea Hofmann, Liping Hou, Yi-Hsiang Hsu, Stephane Jamain, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, Po-Hsiu Kuo, Tadafumi Kato, John Kelsoe, Sarah Kittel-Schneider, Sebastian Kliwicki, Barbara König, Ichiro Kusumi, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G. Leckband, Mario Maj, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Mirko Manchia, Lina Martinsson, Michael J. McCarthy, Susan McElroy, Francesc Colom, Marina Mitjans, Francis M. Mondimore, Palmiero Monteleone, Caroline M. Nievergelt, Markus M. Nöthen, Tomas Novák, Claire O'Donovan, Norio Ozaki, Vincent Millischer, Sergi Papiol, Andrea Pfennig, Claudia Pisanu, James B. Potash, Andreas Reif, Eva Reininghaus, Guy A. Rouleau, Janusz K. Rybakowski, Martin Schalling, Peter R. Schofield, Barbara W. Schweizer, Giovanni Severino, Tatyana Shekhtman, Paul D. Shilling, Katzutaka Shimoda, Christian Simhandl, Claire M. Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopkova, Fasil Tekola-Ayele, Alfonso Tortorella, Gustavo Turecki, Julia Veeh, Eduard Vieta, Stephanie H. Witt, Gloria Roberts, Peter P. Zandi, Martin Alda, Michael Bauer, Francis J. McMahon, Philip B. Mitchell, Thomas G. Schulze, Marcella Rietschel, Scott R. Clark, Bernhard T. Baune
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- Journal:
- The British Journal of Psychiatry / Volume 220 / Issue 4 / April 2022
- Published online by Cambridge University Press:
- 28 February 2022, pp. 219-228
- Print publication:
- April 2022
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Background
Response to lithium in patients with bipolar disorder is associated with clinical and transdiagnostic genetic factors. The predictive combination of these variables might help clinicians better predict which patients will respond to lithium treatment.
AimsTo use a combination of transdiagnostic genetic and clinical factors to predict lithium response in patients with bipolar disorder.
MethodThis study utilised genetic and clinical data (n = 1034) collected as part of the International Consortium on Lithium Genetics (ConLi+Gen) project. Polygenic risk scores (PRS) were computed for schizophrenia and major depressive disorder, and then combined with clinical variables using a cross-validated machine-learning regression approach. Unimodal, multimodal and genetically stratified models were trained and validated using ridge, elastic net and random forest regression on 692 patients with bipolar disorder from ten study sites using leave-site-out cross-validation. All models were then tested on an independent test set of 342 patients. The best performing models were then tested in a classification framework.
ResultsThe best performing linear model explained 5.1% (P = 0.0001) of variance in lithium response and was composed of clinical variables, PRS variables and interaction terms between them. The best performing non-linear model used only clinical variables and explained 8.1% (P = 0.0001) of variance in lithium response. A priori genomic stratification improved non-linear model performance to 13.7% (P = 0.0001) and improved the binary classification of lithium response. This model stratified patients based on their meta-polygenic loadings for major depressive disorder and schizophrenia and was then trained using clinical data.
ConclusionsUsing PRS to first stratify patients genetically and then train machine-learning models with clinical predictors led to large improvements in lithium response prediction. When used with other PRS and biological markers in the future this approach may help inform which patients are most likely to respond to lithium treatment.
The influence of prescriber and patient gender on the prescription of benzodiazepines: results from the Florida Medicaid Dataset
- Leanna M. W. Lui, Yena Lee, Orly Lipsitz, Nelson B. Rodrigues, Hartej Gill, Jifeng Ma, Linas Wilkialis, Jocelyn K. Tamura, Ashley Siegel, David Chen-Li, Joshua D. Rosenblat, Rodrigo B. Mansur, Marie A. McPherson, Roger S. McIntyre
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- Journal:
- CNS Spectrums / Volume 27 / Issue 3 / June 2022
- Published online by Cambridge University Press:
- 19 January 2021, pp. 378-382
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Background
Benzodiazepine (BZD) prescription rates have increased over the past decade in the United States. Available literature indicates that sociodemographic factors may influence diagnostic patterns and/or prescription behaviour. Herein, the aim of this study is to determine whether the gender of the prescriber and/or patient influences BZD prescription.
MethodsCross-sectional study using data from the Florida Medicaid Managed Medical Assistance Program from January 1, 2018 to December 31, 2018. Eligible recipients ages 18 to 64, inclusive, enrolled in the Florida Medicaid plan for at least 1 day, and were dually eligible. Recipients either had a serious mental illness (SMI), or non-SMI and anxiety.
ResultsTotal 125 463 cases were identified (i.e., received BZD or non-BZD prescription). Main effect of patient and prescriber gender was significant F(1, 125 459) = 0.105, P = 0 .745, partial η2 < 0.001. Relative risk (RR) of male prescribers prescribing a BZD compared to female prescribers was 1.540, 95% confidence intervals (CI) [1.513, 1.567], whereas the RR of male patients being prescribed a BZD compared to female patients was 1.16, 95% CI [1.14, 1.18]. Main effects of patient and prescriber gender were statistically significant F(1, 125 459) = 188.232, P < 0.001, partial η2 = 0.001 and F(1, 125 459) = 349.704, P < 0.001, partial η2 = 0.013, respectively.
ConclusionsMale prescribers are more likely to prescribe BZDs, and male patients are more likely to receive BZDs. Further studies are required to characterize factors that influence this gender-by-gender interaction.
Engineered living conductive biofilms as functional materials
- Lina J. Bird, Elizabeth L. Onderko, Daniel A. Phillips, Rebecca L. Mickol, Anthony P. Malanoski, Matthew D. Yates, Brian J. Eddie, Sarah M. Glaven
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- Journal:
- MRS Communications / Volume 9 / Issue 2 / June 2019
- Published online by Cambridge University Press:
- 28 March 2019, pp. 505-517
- Print publication:
- June 2019
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Natural living conductive biofilms transport electrons between electrodes and cells, as well as among cells fixed within the film, catalyzing an array of reactions from acetate oxidation to CO2 reduction. Synthetic biology offers tools to modify or improve electron transport through biofilms, creating a new class of engineered living conductive materials. Engineered living conductive materials could be used in a range of applications for which traditional conducting polymers are not appropriate, including improved catalytic coatings for microbial fuel-cell electrodes, self-powered sensors for austere environments, and next-generation living components of bioelectronic devices that interact with the human microbiome.
Decreased Fronto-Limbic Activation and Disrupted Semantic-Cued List Learning in Major Depressive Disorder
- Michelle T. Kassel, Julia A. Rao, Sara J. Walker, Emily M. Briceño, Laura B. Gabriel, Anne L. Weldon, Erich T. Avery, Brennan D. Haase, Marta Peciña, Ciaran M. Considine, Douglas C. Noll, Linas A. Bieliauskas, Monica N. Starkman, Jon-Kar Zubieta, Robert C. Welsh, Bruno Giordani, Sara L. Weisenbach, Scott A. Langenecker
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- Journal:
- Journal of the International Neuropsychological Society / Volume 22 / Issue 4 / April 2016
- Published online by Cambridge University Press:
- 02 February 2016, pp. 412-425
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Objectives: Individuals with major depressive disorder (MDD) demonstrate poorer learning and memory skills relative to never-depressed comparisons (NDC). Previous studies report decreased volume and disrupted function of frontal lobes and hippocampi in MDD during memory challenge. However, it has been difficult to dissociate contributions of short-term memory and executive functioning to memory difficulties from those that might be attributable to long-term memory deficits. Methods: Adult males (MDD, n=19; NDC, n=22) and females (MDD, n=23; NDC, n=19) performed the Semantic List Learning Task (SLLT) during functional magnetic resonance imaging. The SLLT Encoding condition consists of 15 lists, each containing 14 words. After each list, a Distractor condition occurs, followed by cued Silent Rehearsal instructions. Post-scan recall and recognition were collected. Groups were compared using block (Encoding-Silent Rehearsal) and event-related (Words Recalled) models. Results: MDD displayed lower recall relative to NDC. NDC displayed greater activation in several temporal, frontal, and parietal regions, for both Encoding-Silent Rehearsal and the Words Recalled analyses. Groups also differed in activation patterns in regions of the Papez circuit in planned analyses. The majority of activation differences were not related to performance, presence of medications, presence of comorbid anxiety disorder, or decreased gray matter volume in MDD. Conclusions: Adults with MDD exhibit memory difficulties during a task designed to reduce the contribution of individual variability from short-term memory and executive functioning processes, parallel with decreased activation in memory and executive functioning circuits. Ecologically valid long-term memory tasks are imperative for uncovering neural correlates of memory performance deficits in adults with MDD. (JINS, 2016, 22, 412–425)
Contributors
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- By Nozomi Akanuma, Gonzalo Alarcón, R. Arunachalam, Sarah H. Bernard, Frank M. C. Besag, Istvan Bodi, Stephen Brown, Franz Brunnhuber, Antonella Cerquiglini, J. Helen Cross, R. Shane Delamont, Archana Desurkar, Lee Drummond, Rona Eade, Robert D. C. Elwes, Bidi Evans, Peter Fenwick, Colin D. Ferrie, Paul L. Furlong, Laura H. Goldstein, Sally Gomersall, Sushma Goyal, Jane Hanna, Yvonne Hart, Dominic C. Heaney, Graham E. Holder, Mrinalini Honavar, Elaine Hughes, Jozef M. Jarosz, John G. R. Jefferys, Jane Juler, Mathias Koepp, Michalis Koutroumanidis, Maureen Lahiff, Louis Lemieux, David McCormick, Brian Meldrum, John D. C. Mellers, Nicholas Moran, John Moriarty, Robin G. Morris, Nandini Mullatti, Lina Nashef, Jennifer Nightingale, T. J. von Oertzen, Corina O'Neill, Philip N. Patsalos, Stella Pearson, Charles E. Polkey, Ronit Pressler, Edward H. Reynolds, Mark P. Richardson, Leone Ridsdale, Robert Robinson, Greg Rogers, Euan M. Ross, Richard P. Selway, Stefano Seri, Simeran Sharma, Graeme J. Sills, Andrew Simmons, Shiri Spector, Mark Stevenson, Jade N. Thai, Brian Toone, Antonio Valentín, Nuria T. Villagra, Matthew Walker, William Whitehouse
- Edited by Gonzalo Alarcón, King's College London, Antonio Valentín, King's College London
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- Book:
- Introduction to Epilepsy
- Published online:
- 05 July 2012
- Print publication:
- 26 April 2012, pp xii-xv
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9 - Ceramide and Lipid Mediators in Apoptosis
- from Part I - General Principles of Cell Death
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- By Thomas D. Mullen, Medical University of South Carolina, Russell W. Jenkins, Medical University of South Carolina, Lina M. Obeid, Medical University of South Carolina, Yusuf A. Hannun, Medical University of South Carolina
- Edited by John C. Reed
- Douglas R. Green
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- Book:
- Apoptosis
- Published online:
- 07 September 2011
- Print publication:
- 22 August 2011, pp 88-105
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Summary
Introduction
As a cellular signaling program, apoptosis is a highly controlled and complex process that depends on the orchestrated interactions of multiple soluble factors: ions (e.g., Ca2+), proteins (e.g., caspases, Bcl-2 family members), and nonprotein substrates (e.g., DNA). Equally important, although less well characterized, is signaling through cellular membranes and the lipids and proteins contained therein. Lipids are the primary constituents of biological membranes and thus play a structural role in defining cellular and organellar boundaries. However, lipids are not merely passive molecules serving inert, structural functions in these membranes. Many lipids are now appreciated as signaling molecules, capable of influencing diverse cellular processes and exerting powerful influence over many physiologic and pathophysiologic processes, such as programmed cell death. Sphingolipids represent one class of bioactive lipid mediators that are now recognized as key determinants of cell fate. This chapter discusses the regulated generation of bioactive sphingolipids (e.g., ceramide) and how sphingolipid signaling impacts the regulation of programmed cell death.
Contributors
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- By Aakash Agarwala, Linda S. Aglio, Rae M. Allain, Paul D. Allen, Houman Amirfarzan, Yasodananda Kumar Areti, Amit Asopa, Edwin G. Avery, Patricia R. Bachiller, Angela M. Bader, Rana Badr, Sibinka Bajic, David J. Baker, Sheila R. Barnett, Rena Beckerly, Lorenzo Berra, Walter Bethune, Sascha S. Beutler, Tarun Bhalla, Edward A. Bittner, Jonathan D. Bloom, Alina V. Bodas, Lina M. Bolanos-Diaz, Ruma R. Bose, Jan Boublik, John P. Broadnax, Jason C. Brookman, Meredith R. Brooks, Roland Brusseau, Ethan O. Bryson, Linda A. Bulich, Kenji Butterfield, William R. Camann, Denise M. Chan, Theresa S. Chang, Jonathan E. Charnin, Mark Chrostowski, Fred Cobey, Adam B. Collins, Mercedes A. Concepcion, Christopher W. Connor, Bronwyn Cooper, Jeffrey B. Cooper, Martha Cordoba-Amorocho, Stephen B. Corn, Darin J. Correll, Gregory J. Crosby, Lisa J. Crossley, Deborah J. Culley, Tomas Cvrk, Michael N. D'Ambra, Michael Decker, Daniel F. Dedrick, Mark Dershwitz, Francis X. Dillon, Pradeep Dinakar, Alimorad G. Djalali, D. John Doyle, Lambertus Drop, Ian F. Dunn, Theodore E. Dushane, Sunil Eappen, Thomas Edrich, Jesse M. Ehrenfeld, Jason M. Erlich, Lucinda L. Everett, Elliott S. Farber, Khaldoun Faris, Eddy M. Feliz, Massimo Ferrigno, Richard S. Field, Michael G. Fitzsimons, Hugh L. Flanagan Jr., Vladimir Formanek, Amanda A. Fox, John A. Fox, Gyorgy Frendl, Tanja S. Frey, Samuel M. Galvagno Jr., Edward R. Garcia, Jonathan D. Gates, Cosmin Gauran, Brian J. Gelfand, Simon Gelman, Alexander C. Gerhart, Peter Gerner, Omid Ghalambor, Christopher J. Gilligan, Christian D. Gonzalez, Noah E. Gordon, William B. Gormley, Thomas J. Graetz, Wendy L. Gross, Amit Gupta, James P. Hardy, Seetharaman Hariharan, Miriam Harnett, Philip M. Hartigan, Joaquim M. Havens, Bishr Haydar, Stephen O. Heard, James L. Helstrom, David L. Hepner, McCallum R. Hoyt, Robert N. Jamison, Karinne Jervis, Stephanie B. Jones, Swaminathan Karthik, Richard M. Kaufman, Shubjeet Kaur, Lee A. Kearse Jr., John C. Keel, Scott D. Kelley, Albert H. Kim, Amy L. Kim, Grace Y. Kim, Robert J. Klickovich, Robert M. Knapp, Bhavani S. Kodali, Rahul Koka, Alina Lazar, Laura H. Leduc, Stanley Leeson, Lisa R. Leffert, Scott A. LeGrand, Patricio Leyton, J. Lance Lichtor, John Lin, Alvaro A. Macias, Karan Madan, Sohail K. Mahboobi, Devi Mahendran, Christine Mai, Sayeed Malek, S. Rao Mallampati, Thomas J. Mancuso, Ramon Martin, Matthew C. Martinez, J. A. Jeevendra Martyn, Kai Matthes, Tommaso Mauri, Mary Ellen McCann, Shannon S. McKenna, Dennis J. McNicholl, Abdel-Kader Mehio, Thor C. Milland, Tonya L. K. Miller, John D. Mitchell, K. Annette Mizuguchi, Naila Moghul, David R. Moss, Ross J. Musumeci, Naveen Nathan, Ju-Mei Ng, Liem C. Nguyen, Ervant Nishanian, Martina Nowak, Ala Nozari, Michael Nurok, Arti Ori, Rafael A. Ortega, Amy J. Ortman, David Oxman, Arvind Palanisamy, Carlo Pancaro, Lisbeth Lopez Pappas, Benjamin Parish, Samuel Park, Deborah S. Pederson, Beverly K. Philip, James H. Philip, Silvia Pivi, Stephen D. Pratt, Douglas E. Raines, Stephen L. Ratcliff, James P. Rathmell, J. Taylor Reed, Elizabeth M. Rickerson, Selwyn O. Rogers Jr., Thomas M. Romanelli, William H. Rosenblatt, Carl E. Rosow, Edgar L. Ross, J. Victor Ryckman, Mônica M. Sá Rêgo, Nicholas Sadovnikoff, Warren S. Sandberg, Annette Y. Schure, B. Scott Segal, Navil F. Sethna, Swapneel K. Shah, Shaheen F. Shaikh, Fred E. Shapiro, Torin D. Shear, Prem S. Shekar, Stanton K. Shernan, Naomi Shimizu, Douglas C. Shook, Kamal K. Sikka, Pankaj K. Sikka, David A. Silver, Jeffrey H. Silverstein, Emily A. Singer, Ken Solt, Spiro G. Spanakis, Wolfgang Steudel, Matthias Stopfkuchen-Evans, Michael P. Storey, Gary R. Strichartz, Balachundhar Subramaniam, Wariya Sukhupragarn, John Summers, Shine Sun, Eswar Sundar, Sugantha Sundar, Neelakantan Sunder, Faraz Syed, Usha B. Tedrow, Nelson L. Thaemert, George P. Topulos, Lawrence C. Tsen, Richard D. Urman, Charles A. Vacanti, Francis X. Vacanti, Joshua C. Vacanti, Assia Valovska, Ivan T. Valovski, Mary Ann Vann, Susan Vassallo, Anasuya Vasudevan, Kamen V. Vlassakov, Gian Paolo Volpato, Essi M. Vulli, J. Matthias Walz, Jingping Wang, James F. Watkins, Maxwell Weinmann, Sharon L. Wetherall, Mallory Williams, Sarah H. Wiser, Zhiling Xiong, Warren M. Zapol, Jie Zhou
- Edited by Charles Vacanti, Scott Segal, Pankaj Sikka, Richard Urman
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- Book:
- Essential Clinical Anesthesia
- Published online:
- 05 January 2012
- Print publication:
- 11 July 2011, pp xv-xxviii
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Contributors
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- By Jane E. Adcock, Yahya Aghakhani, A. Anand, Eva Andermann, Frederick Andermann, Alexis Arzimanoglou, Sandrine Aubert, Nadia Bahi-Buisson, Carman Barba, Agatino Battaglia, Geneviève Bernard, Nadir E. Bharucha, Laurence A. Bindoff, William Bingaman, Francesca Bisulli, Thomas P. Bleck, Stewart G. Boyd, Andreas Brunklaus, Harry Bulstrode, Jorge G. Burneo, Laura Canafoglia, Laura Cantonetti, Roberto H. Caraballo, Fernando Cendes, Kevin E. Chapman, Patrick Chauvel, Richard F. M. Chin, H. T. Chong, Fahmida A. Chowdhury, Catherine J. Chu-Shore, Rolando Cimaz, Andrew J. Cole, Bernard Dan, Geoffrey Dean, Alessio De Ciantis, Fernando De Paolis, Rolando F. Del Maestro, Irissa M. Devine, Carlo Di Bonaventura, Concezio Di Rocco, Henry B. Dinsdale, Maria Alice Donati, François Dubeau, Michael Duchowny, Olivier Dulac, Monika Eisermann, Brent Elliott, Bernt A. Engelsen, Kevin Farrell, Natalio Fejerman, Rosalie E. Ferner, Silvana Franceschetti, Robert Friedlander, Antonio Gambardella, Hector H. Garcia, Serena Gasperini, Lorenzo Genitori, Gioia Gioi, Flavio Giordano, Leif Gjerstad, Daniel G. Glaze, Howard P. Goodkin, Sidney M. Gospe, Andrea Grassi, William P. Gray, Renzo Guerrini, Marie-Christine Guiot, William Harkness, Andrew G. Herzog, Linda Huh, Margaret J. Jackson, Thomas S. Jacques, Anna C. Jansen, Sigmund Jenssen, Michael R. Johnson, Dorothy Jones-Davis, Reetta Kälviäinen, Peter W. Kaplan, John F. Kerrigan, Autumn Marie Klein, Matthias Koepp, Edwin H. Kolodny, Kandan Kulandaivel, Ruben I. Kuzniecky, Ahmed Lary, Yolanda Lau, Anna-Elina Lehesjoki, Maria K. Lehtinen, Holger Lerche, Michael P. T. Lunn, Snezana Maljevic, Mark R. Manford, Carla Marini, Bindu Menon, Giulia Milioli, Eli M. Mizrahi, Manish Modi, Márcia Elisabete Morita, Manuel Murie-Fernandez, Vivek Nambiar, Lina Nashef, Vincent Navarro, Aidan Neligan, Ruth E. Nemire, Charles R. J. C. Newton, John O'Donavan, Hirokazu Oguni, Teiichi Onuma, Andre Palmini, Eleni Panagiotakaki, Pasquale Parisi, Elena Parrini, Liborio Parrino, Ignacio Pascual-Castroviejo, M. Scott Perry, Perrine Plouin, Charles E. Polkey, Suresh S. Pujar, Karthik Rajasekaran, R. Eugene Ramsey, Rahul Rathakrishnan, Roberta H. Raven, Guy M. Rémillard, David Rosenblatt, M. Elizabeth Ross, Abdulrahman Sabbagh, P. Satishchandra, Swati Sathe, Ingrid E. Scheffer, Philip A. Schwartzkroin, Rod C. Scott, Frédéric Sedel, Michelle J. Shapiro, Elliott H. Sherr, Michael Shevell, Simon D. Shorvon, Adrian M. Siegel, Gagandeep Singh, S. Sinha, Barbara Spacca, Waney Squier, Carl E. Stafstrom, Bernhard J. Steinhoff, Andrea Taddio, Gianpiero Tamburrini, C. T. Tan, Raymond Y. L. Tan, Erik Taubøll, Robert W. Teasell, Mario Giovanni Terzano, Federica Teutonico, Suzanne A. Tharin, Elizabeth A. Thiele, Pierre Thomas, Paolo Tinuper, Dorothée Kasteleijn-Nolst Trenité, Sumeet Vadera, Pierangelo Veggiotti, Jean-Pierre Vignal, J. M. Walshe, Elizabeth J. Waterhouse, David Watkins, Ruth E. Williams, Yue-Hua Zhang, Benjamin Zifkin, Sameer M. Zuberi
- Edited by Simon D. Shorvon, Frederick Andermann, Renzo Guerrini
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- Book:
- The Causes of Epilepsy
- Published online:
- 05 March 2012
- Print publication:
- 14 April 2011, pp ix-xvi
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Contributors
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- By Joëlle Adrien, M. Y. Agargun, Negar Ahmadi, Imran M. Ahmed, J. Todd Arnedt, Joseph Barbera, Simon Beaulieu-Bonneau, Marie E. Beitinger, Francesco Benedetti, Glenn Berall, Kirk J. Brower, Gregory M. Brown, Kumaraswamy Budur, Daniel P. Cardinali, Deirdre A. Conroy, Sara Dallaspezia, José Manuel de la Fuente, Paolo De Luca, Diana De Ronchi, Antonio Drago, Matthew R. Ebben, Irshaad Ebrahim, Pingfu Feng, Peter B. Fenwick, Lina Fine, Jonathan Adrian Ewing Fleming, Paul A. Fredrickson, Stephany Fulda, Lucile Garma, Roger Godbout, Reut Gruber, J. Allan Hobson, Andrea Iaboni, Anna Ivanenko, Mayumi Kimura, Milton Kramer, Christoph J. Lauer, Remy Luthringer, Luis Fernando Martínez, Sara Matteson-Rusby, Robert W. McCarley, Charles J. Meliska, Harvey Moldofsky, Charles M. Morin, Sricharan Moturi, Marie-Christine Ouellet, James F. Pagel, S. R. Pandi-Perumal, Barbara L. Parry, Timo Partonen, Wilfred R. Pigeon, Thomas Pollmächer, Nathalie Pross, Elliott Richelson, Naomi L. Rogers, Stefan Rupprecht-Mrozek, Philip Saleh, Andreas Schuld, Alessandro Serretti, Colin M. Shapiro, Christopher Michael Sinton, Marcel G. Smits, D. Warren Spence, Jürgen Staedt, Corinne Staner, Luc Staner, Axel Steiger, Deborah Suchecki, Michael J. Thorpy, Inna Voloh, Bradley G. Whitwell, Robert A. Zucker
- Edited by S. R. Pandi-Perumal, Milton Kramer, University of Illinois, Chicago
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- Book:
- Sleep and Mental Illness
- Published online:
- 05 July 2011
- Print publication:
- 01 April 2010, pp ix-xiii
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Value of investigation in the diagnosis of allergic fungal rhinosinusitis: results of a prospective study
- E. Serrano, J. Percodani, E. Uro-Coste, E. Yardeni, M. Abbal, M. D. Linas, P. Recco, M. B. Delisle
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- Journal:
- The Journal of Laryngology & Otology / Volume 115 / Issue 3 / March 2001
- Published online by Cambridge University Press:
- 08 March 2006, pp. 184-189
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- March 2001
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The authors report a prospective study in which the aim was to analyse the usefulness of different criteria in optimizing the diagnosis of allergic fungal rhinosinusitis. From 1995 to 1998, 165 patients were operated on for chronic rhinosinusitis. Investigations used in this study for the diagnosis of allergic Aspergillus rhinosinusitis consisted of an analysis of clinical, radiological, immuno-allergic criteria. Fourteen patients presented with allergic Aspergillus rhinosinusitis. One hundred and fifty-one patients did not present any of the necessary criteria for the diagnosis of allergic Aspergillus rhinosinusitis. The results show that the characteristic macroscopic appearance, the maxillary sinus localization, and the presence of positive specific IgE to Aspergillus fumigatus are arguments that reinforce the diagnostic certitude of allergic fungal sinusitis. No specific clinical or radiological criteria orients a diagnosis of chronic rhinosinusitis toward that of allergic fungal rhinosinusitis. The other immuno-allergic tests do not contribute to the diagnosis of allergic fungal rhinosinusitis. pathological, mycological, and
Histochemical and ultrastructural studies of the male accessory reproductive glands and spermatophore of the tsetse, Glossina morsitans morsitans Westwood
- Thomas R. Odhiambo, Elizabeth D. Kokwaro, Lina M. Sequeira
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- Journal:
- Insect Science and Its Application / Volume 4 / Issue 3 / September 1983
- Published online by Cambridge University Press:
- 19 September 2011, pp. 227-236
- Print publication:
- September 1983
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A pair of accessory reproductive glands (ARGs) containing a variety of secretory products forms a part of the male reproductive system of the tsetse, Glossina morsitans morsitans Westwood. All of the ARG cells have an extensive rough endoplasmic reticulum which is indicative of the production of proteinaceous substances to be secreted. Histochemically, the secretory products in the lumen of the ARG contain a neutral mucopolysaccharide-protein complex, and are products of several morphological types. The latter are probably stages of maturation of the secretory materials that eventually become the wall of the spermatophore, a highly organized structure which acts as a temporary container for the spermatoza during their transfer to the spermathecae, and is histochemically composed of a mixture of carbohydrates and proteins. On grounds of histochemical and ultrastructural similarities, we suggest that the spermatophore of G. morsitans is derived, at least partially, from the male ARGs.