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2. Submucosal Necrotic Nodule of the Colon: An Enigmatic Entity Potentially Related to Anisakis Infection

Author

Gonzalez, Raul S., Pastrian, Laura G., Pyatibrat, Sergey, Arias, Hernan Dario Quiceno, Gil, Yolanda Rodriguez, Booth, Adam L., Navarro, Itziar de la Pena, Garmendia-Irizar, Maddi, Lapointe, Jennifer R., Mobarki, Mousa, Nova-Camacho, Luiz Miguel, Parini, Gina, Romio, Estefania, Alayza, Alejandra Rosell, Pritt, Bobbi S., and Ruz-Caracuel, Ignacio

Subjects
Behavior, Health aspects, Recurrence (Disease) -- Health aspects, Diseases -- Relapse
Abstract

Colon polyps are a relatively common finding on colonoscopy and are usually biopsied or excised for pathologic evaluation. (1) Most of these polyps represent epithelial proliferations involving the mucosal surface [...], * Context.--Discrete submucosal necrotic nodules may rarely manifest as colon polyps. Objective.--To characterize the clinical and pathologic features of this lesion, which has been under-studied in the literature. Design.--We conducted an international search to compile a series. For each potential case, photomicrographs were centrally reviewed to confirm the diagnosis. We gathered clinical and pathologic information on each confirmed case. Results.--The final cohort included 25 patients, with 23 having 1 lesion and 2 having several (31 lesions total). Mean patient age was 62 years; 13 patients (52%) were male. Symptoms were nonspecific, although 4 patients (16%) had blood in stool; 14 patients were asymptomatic. Patient history and medications appeared noncontributory. Most cases were located in the right colon (n = 18; 58%). Mean lesion size was 0.4 cm (range, 0.1-1.7 cm). Histology typically showed a centrally necrotic nodule with peripheral fibrosis, chronic inflammation, and sometimes palisading granulomatous inflammation. Percent necrosis ranged from 5% to 95% (average, 70%), and percent fibrosis ranged from 3% to 70% (average, 25%). In 3 cases, degenerated parasitic structures consistent with Anisakis could be seen on hematoxylin-eosin and trichrome special stain. No patient experienced disease recurrence. Conclusions.--Submucosal necrotic nodules can present as colon polyps. Most cases are unifocal, and patients do well on follow-up. At least some examples appear to be caused by Anisakis, implicating patient diet. Patients are often asymptomatic, and many cases show no histologic evidence of the causative agent. doi: 10.5858/arpa.2022-0267-OA

Published
2023
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3. Anaplasma bovis-Like Infections in Humans, United States, 2015-2017

Author

Karpathy, Sandor E., Kingry, Luke, Pritt, Bobbi S., Berry, Jonathan C., Chilton, Neil B., Dergousoff, Shaun J., Cortinas, Roberto, Sheldon, Sarah W., Oatman, Stephanie, Anacker, Melissa, Petersen, Jeannine, and Paddock, Christopher D.

Subjects
Prevention, Analysis, Risk factors, DNA microarrays -- Analysis, Tick-borne diseases -- Risk factors -- Prevention, Anaplasmosis -- Risk factors -- Prevention
Abstract

The genus Anaplasma includes several species of tickborne, zoonotic pathogens of global importance. Three recognized species (Anaplasma phagocytophilum, Anaplasma ovis, and Anaplasma bovis) and one provisionally named species (Anaplasma capra) [...]

Published
2023
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5. Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media

Author

Schaumberg, Andrew J, Juarez-Nicanor, Wendy C, Choudhury, Sarah J, Pastrián, Laura G, Pritt, Bobbi S, Prieto Pozuelo, Mario, Sotillo Sánchez, Ricardo, Ho, Khanh, Zahra, Nusrat, Sener, Betul Duygu, Yip, Stephen, Xu, Bin, Annavarapu, Srinivas Rao, Morini, Aurélien, Jones, Karra A, Rosado-Orozco, Kathia, Mukhopadhyay, Sanjay, Miguel, Carlos, Yang, Hongyu, Rosen, Yale, Ali, Rola H, Folaranmi, Olaleke O, Gardner, Jerad M, Rusu, Corina, Stayerman, Celina, Gross, John, Suleiman, Dauda E, Sirintrapun, S Joseph, Aly, Mariam, and Fuchs, Thomas J

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Cancer, Good Health and Well Being, Algorithms, Deep Learning, Humans, Pathologists, Pathology, Social Media, Medical and Health Sciences, Clinical sciences
Abstract

Pathologists are responsible for rapidly providing a diagnosis on critical health issues. Challenging cases benefit from additional opinions of pathologist colleagues. In addition to on-site colleagues, there is an active worldwide community of pathologists on social media for complementary opinions. Such access to pathologists worldwide has the capacity to improve diagnostic accuracy and generate broader consensus on next steps in patient care. From Twitter we curate 13,626 images from 6,351 tweets from 25 pathologists from 13 countries. We supplement the Twitter data with 113,161 images from 1,074,484 PubMed articles. We develop machine learning and deep learning models to (i) accurately identify histopathology stains, (ii) discriminate between tissues, and (iii) differentiate disease states. Area Under Receiver Operating Characteristic (AUROC) is 0.805-0.996 for these tasks. We repurpose the disease classifier to search for similar disease states given an image and clinical covariates. We report precision@k = 1 = 0.7618 ± 0.0018 (chance 0.397 ± 0.004, mean ±stdev ). The classifiers find that texture and tissue are important clinico-visual features of disease. Deep features trained only on natural images (e.g., cats and dogs) substantially improved search performance, while pathology-specific deep features and cell nuclei features further improved search to a lesser extent. We implement a social media bot (@pathobot on Twitter) to use the trained classifiers to aid pathologists in obtaining real-time feedback on challenging cases. If a social media post containing pathology text and images mentions the bot, the bot generates quantitative predictions of disease state (normal/artifact/infection/injury/nontumor, preneoplastic/benign/low-grade-malignant-potential, or malignant) and lists similar cases across social media and PubMed. Our project has become a globally distributed expert system that facilitates pathological diagnosis and brings expertise to underserved regions or hospitals with less expertise in a particular disease. This is the first pan-tissue pan-disease (i.e., from infection to malignancy) method for prediction and search on social media, and the first pathology study prospectively tested in public on social media. We will share data through http://pathobotology.org . We expect our project to cultivate a more connected world of physicians and improve patient care worldwide.

Published
2020

7. Imported Haycocknema perplexum Infection, United States

Author

Pritt, Bobbi S., Mathison, Blaine A., Bradbury, Richard S., Liewluck, Teerin, Nicolau, Stefan, O'Horo, John C., Grunst, David, Pinto, Marcus V., Swanson, Amy A., and Virk, Abinash

Subjects
Diagnosis, Care and treatment, Measurement, Dosage and administration, Health aspects, Causes of, Prednisone -- Dosage and administration, Parasitic diseases -- Diagnosis -- Care and treatment, Creatine kinase -- Measurement -- Health aspects, Sulfonamides -- Dosage and administration, Muscular atrophy -- Causes of -- Care and treatment, Atrophy, Muscular -- Causes of -- Care and treatment
Abstract

Haycocknema perplexum is an enigmatic nematode ii that is a rare cause of human parasitic myositis (2-4). Twelve cases have been reported since its initial description in 1998, all in [...]

Published
2022
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8. Contributors

Author

Abzug, Mark J., primary, Adderson, Elisabeth E., additional, Agarwal, Aastha, additional, Agwu, Allison L., additional, Albenberg, Lindsey, additional, Albert, Jonathan, additional, Alby, Kevin, additional, Aldrovandi, Grace M., additional, Allen, Upton D., additional, Alvarez-Hernndez, Gerardo, additional, Ampofo, Krow, additional, Anderson, Evan J., additional, Appiah, Grace D., additional, Ardura, Monica I., additional, Arnon, Stephen S., additional, Aronson, Naomi E., additional, Arvin, Ann M., additional, Ashkenazi, Shai, additional, Ashkenazi-Hoffnung, Liat, additional, Asturias, Edwin J., additional, Aukstuolis, Kestutis, additional, Badalyan, Vahe, additional, Baker, Carol J., additional, Balakrishnan, Karthik, additional, Barnett, Elizabeth D., additional, Bechtel, Kirsten, additional, Benitz, William E., additional, Berkovich, Rachel, additional, Berman, David M., additional, Bialek, Stephanie R., additional, Bijker, Else M., additional, Bizzarro, Matthew J., additional, Bloch, Karen C., additional, Bocchini, Joseph A., additional, Boyce, Thomas G., additional, Bradley, John S., additional, Bratcher, Denise F., additional, Braverman, Paula K., additional, Brook, Itzhak, additional, Brown, Kevin Edward, additional, Bryant, Kristina P., additional, Camacho-Gonzalez, Andres F., additional, Caete-Gibas, Connie F., additional, Cantey, Joseph B., additional, Cantey, Paul, additional, Cardemil, Cristina V., additional, Caserta, Mary T., additional, Castagnini, Luis A., additional, Cataldi, Jessica R., additional, Chadwick, Ellen Gould, additional, Chancey, Rebecca J., additional, Cherry, Cara C., additional, Chiang, Silvia S., additional, Choi, Mary, additional, Christenson, John C., additional, Coffin, Susan E., additional, Cohn, Amanda, additional, Contopoulos-Ioannidis, Despina G., additional, Conway, James H., additional, Cortese, Margaret M., additional, Creech, C. Buddy, additional, Crews, Jonathan D., additional, Curtis, Donna, additional, Curtis, Nigel, additional, Danziger-Isakov, Lara A., additional, Darville, Toni, additional, Dasch, Gregory A., additional, Daskalaki, Irini, additional, Davies, H. Dele, additional, Dawood, Fatimah S., additional, Day, J. Christopher, additional, Teresa de la Morena, M., additional, DeMuri, Gregory P., additional, Despommier, Dickson D., additional, Dodson, Daniel S., additional, Dolgner, Stephen J., additional, Dunn, Clinton, additional, Dyal, Jonathan, additional, Edwards, Kathryn M., additional, Edwards, Morven S., additional, Eichenfield, Dawn Z., additional, Eichenfield, Lawrence F., additional, Elston, Dirk M., additional, Emerson, Beth, additional, Enane, Leslie A., additional, Ephros, Moshe, additional, Erdem, Guliz, additional, Eremeeva, Marina E., additional, Esposito, Douglas H., additional, Farley, Monica M., additional, Feingold, Anat R., additional, Feja, Kristina N., additional, Finn, Adam, additional, Fischer, Marc, additional, Fisher, Brian T., additional, Fisher, Randall G., additional, Flynn, Patricia Michele, additional, Foster, Monique A., additional, Fox, LeAnne M., additional, Frank, Michael M., additional, Fredrick, Douglas R., additional, Frenck, Robert W., additional, Gaensbauer, James, additional, Gans, Hayley A., additional, Gauthier, Gregory M., additional, Gavigan, Patrick, additional, Gerber, Jeffrey S., additional, Gernez, Yael, additional, Gigliotti, Francis, additional, Gilger, Mark A., additional, Glaser, Carol A., additional, Gould, Jane M., additional, Graziano, James, additional, Green, Amanda M., additional, Green, Michael, additional, Griffin, Daniel, additional, Griffin, Patricia M., additional, Griffith, David C., additional, Gupta, Piyush, additional, Gutelius, Bruce J., additional, Gutman, Julie R., additional, Hall, Aron J., additional, Hamdy, Rana F., additional, Han, Jin-Young, additional, Handy, Lori K., additional, Hanisch, Benjamin, additional, Harper, Marvin B., additional, Harris, Aaron M., additional, Harrison, Christopher J., additional, Haslam, David B., additional, Haston, Julia C., additional, Hawkes, Sarah.J., additional, Heald-Sargent, Taylor, additional, Hendley, J. Owen, additional, Hersh, Adam L., additional, Hilinski, Joseph A., additional, Hills, Susan L., additional, Hong, David K., additional, Hotez, Peter J., additional, Hsu, Katherine K., additional, Huang, Felicia Scaggs, additional, Hunstad, David A., additional, Hunt, W. Garrett, additional, Hwang, Loris Y., additional, Ilboudo, Christelle M., additional, Jaggi, Preeti, additional, Jean, Sophonie, additional, Jhaveri, Ravi, additional, Jirk-Pomajbkov, Kateina, additional, Kadry, Nadia A., additional, Kamb, Mary L., additional, Kapadia, Ronak K., additional, Katz, Ben Z., additional, Katz, Sophie E., additional, Kaur, Ishminder, additional, Kersh, Gilbert J., additional, Khan, Muhammad Ali, additional, Khurana, Ananta, additional, Kimberlin, David W., additional, Klein, Bruce, additional, Kobayashi, Miwako, additional, Kociolek, Larry K., additional, Koh, Andrew Y., additional, Kotloff, Karen L., additional, Kroger, Andrew T., additional, Kronman, Matthew P., additional, Lalor, Leah, additional, Lauren, Christine T., additional, Leber, Amy, additional, Leshem, Eyal, additional, Lewis, David B., additional, Livingston, Robyn A., additional, Llata, Eloisa, additional, Lloyd, Kevin, additional, Loh, Katrina, additional, Long, Sarah S., additional, Lopman, Benjamin A., additional, Lucero, Yalda C., additional, Lugo, Debra J., additional, Lujn-Zilbermann, Jorge, additional, Maldonado, Yvonne A., additional, Manaloor, John J., additional, Manthiram, Kalpana, additional, Martin, Stacey W., additional, Mathew, Roshni, additional, Mazzulli, Tony, additional, McFarland, Elizabeth J., additional, McGann, Kathleen A., additional, McNamara, Lucy A., additional, Meislich, Debrah, additional, Meissner, H. Cody, additional, Mejias, Asuncion, additional, Mertsola, Jussi, additional, Messacar, Kevin, additional, Mhaissen, Mohammad Nael, additional, Michaels, Marian G., additional, Miller, Melissa B., additional, Miller-Handley, Hilary, additional, Mintz, Eric, additional, Mohan, Parvathi, additional, Montgomery, Susan P., additional, Montoya, Jose G., additional, Moorman, Anne C., additional, Moro, Pedro L., additional, Moscicki, Anna-Barbara, additional, Muller, William J., additional, Myers, Angela L., additional, Nadel, Simon, additional, Nayak, Jennifer Lynn, additional, Neely, Michael Noel, additional, Neil, Karen P., additional, Nelson, Christina A., additional, Nelson, Noele P., additional, Nichols, Megin, additional, Nicholson, William, additional, Nopper, Amy Jo, additional, Norton, Laura E., additional, Ochoa, Theresa J., additional, Olarte, Liset, additional, Onarecker, Timothy R., additional, Orenstein, Walter A., additional, ORyan, Miguel, additional, Otto, William R., additional, Ouellette, Christopher P., additional, Paddock, Christopher D., additional, Palazzi, Debra L., additional, Panuganti, Suresh Kumar, additional, Pappas, Diane E., additional, Paret, Michal, additional, Pastula, Daniel M., additional, Patterson, Thomas F., additional, Petersen, Brett W., additional, Petrosyan, Mikael, additional, Pickering, Larry K., additional, Pindyck, Talia, additional, Pinninti, Swetha, additional, Pittet, Laure F., additional, Planet, Paul J., additional, Pollard, Andrew J., additional, Posfay-Barbe, Klara M., additional, Poulsen, Casper S., additional, Poutanen, Susan M., additional, Powers, Ann M., additional, Prasanphanich, Nina Salinger, additional, Pritt, Bobbi S., additional, Prober, Charles G., additional, Puar, Neha, additional, Quilter, Laura A.S., additional, Ramilo, Octavio, additional, Rao, Suchitra, additional, Ratner, Adam J., additional, Rawstron, Sarah A., additional, Read, Jennifer S., additional, Relich, Ryan F., additional, Reller, Megan E., additional, Robinson, Candice L., additional, Romero, Jos R., additional, Rosen, David A., additional, Ross, Shannon A., additional, Rours, G. Ingrid J.G., additional, Rowe, Peter C., additional, Rowley, Anne H., additional, Rubin, Lorry G., additional, Ryan, Edward T., additional, Sacharok, Alexandra, additional, Sandora, Thomas J., additional, Sapp, Sarah G.H., additional, Sardana, Kabir, additional, Sauberan, Jason B., additional, Schaffzin, Joshua K., additional, Schillie, Sarah, additional, Schuster, Jennifer E., additional, Schwartz, Kevin L., additional, Sederdahl, Bethany K., additional, Serpa-Alvarez, Jose, additional, Shah, Kara N., additional, Shah, Samir S., additional, Shaikh, Nader, additional, Shane, Andi L., additional, Shapiro, Eugene D., additional, Shaw, Jana, additional, Shetty, Avinash K., additional, Shope, Timothy R., additional, Dairiki Shortliffe, Linda M., additional, Shulman, Stanford T., additional, Shust, Gail F., additional, Siberry, George Kelly, additional, Siegel, Jane D., additional, Siegel, Robert David, additional, Simonsen, Kari A., additional, Singh, Upinder, additional, Smith, Christiana, additional, Smith, Lauren L., additional, Song, Eunkyung, additional, Souder, Emily, additional, Spearman, Paul, additional, St. Geme, Joseph W., additional, Staat, Mary Allen, additional, Staples, J. Erin, additional, Starke, Jeffrey R., additional, Statler, Victoria A., additional, Steinbach, William J., additional, Stensvold, Christen Rune, additional, Stokes, Erin K., additional, Stoner, Bradley P., additional, Storch, Gregory A., additional, Straily, Anne, additional, Sullivan, Kathleen E., additional, Swanson, Douglas S., additional, Tanz, Robert R., additional, Taormina, Gillian, additional, Tate, Jacqueline E., additional, Taveras, Jeanette, additional, Tebruegge, Marc, additional, Teshale, Eyasu H., additional, Thompson, George R., additional, Thompson-Stone, Robert, additional, Thomsen, Isaac, additional, Thomson, Richard B., additional, Thorell, Emily A., additional, Tien, Vivian, additional, Tobin, Nicole H., additional, Toltzis, Philip, additional, Treat, James, additional, Troy, Stephanie B., additional, Van Dvke, Russell B., additional, Vaz, Louise Elaine, additional, Vijayan, Vini, additional, Vodzak, Jennifer, additional, Wagner, Thor A., additional, Wald, Ellen R., additional, Wallihan, Rebecca, additional, Wang, Huanyu, additional, Wangu, Zoon, additional, Washam, Matthew, additional, Waters, Valerie, additional, Watson, Joshua R., additional, Weatherhead, Jill E., additional, Weinberg, Geoffrey A., additional, Weng, Mark K., additional, Wiederhold, Nathan P., additional, Wiesenfeld, Harold C., additional, Williams, Cydni, additional, Williams, John V., additional, Willoughby, Rodney E., additional, Wittler, Robert R., additional, Wood, James B., additional, Woods, Charles Reece, additional, Workowski, Kimberly A., additional, Wright, Terry W., additional, Wu, Hsi-Yang, additional, Xu, Huan, additional, Yagupsky, Pablo, additional, Yi, Jumi, additional, Yoder, Jonathan, additional, Young, Edward J., additional, Zaenglein, Andrea L., additional, Zimmermann, Petra, additional, and Zong, Wenjing, additional

Published
2023
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11. Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study

Author

Byeon, Seul Kee, Madugundu, Anil K, Garapati, Kishore, Ramarajan, Madan Gopal, Saraswat, Mayank, Kumar-M, Praveen, Hughes, Travis, Shah, Rameen, Patnaik, Mrinal M, Chia, Nicholas, Ashrafzadeh-Kian, Susan, Yao, Joseph D, Pritt, Bobbi S, Cattaneo, Roberto, Salama, Mohamed E, Zenka, Roman M, Kipp, Benjamin R, Grebe, Stefan K G, Singh, Ravinder J, Sadighi Akha, Amir A, Algeciras-Schimnich, Alicia, Dasari, Surendra, Olson, Janet E, Walsh, Jesse R, Venkatakrishnan, A J, Jenkinson, Garrett, O'Horo, John C, Badley, Andrew D, and Pandey, Akhilesh

Published
2022
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16. Laboratory Medicine and Pathology Education During the COVID-19 Pandemic—Lessons Learned

Author

Patel, Robin, Hoppman, Nicole Lynn, Gosse, Cindy M., Hagen-Moe, Deborah J., Dunemann, Susan K., Kreuter, Justin D., Preuss, Sharon A., Winters, Jeffrey L., Sturgis, Charles D., Maleszewski, Joseph J., Solanki, Malvika H., Pritt, Bobbi S., Rivera, Michael, Mairose, Ann M., Nelsen, Michelle A., Hansing, Kara L., Lehman, Susan M., Gruhlke, Randy C., and Boland, Jennifer M.

Published
2021
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24. Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases: 2024 Update by the Infectious Diseases Society of America (IDSA) and the American Society for Microbiology (ASM)

Author

Miller, J Michael, primary, Binnicker, Matthew J, additional, Campbell, Sheldon, additional, Carroll, Karen C, additional, Chapin, Kimberle C, additional, Gonzalez, Mark D, additional, Harrington, Amanda, additional, Jerris, Robert C, additional, Kehl, Sue C, additional, Leal, Sixto M, additional, Patel, Robin, additional, Pritt, Bobbi S, additional, Richter, Sandra S, additional, Robinson-Dunn, Barbara, additional, Snyder, James W, additional, Telford, Sam, additional, Theel, Elitza S, additional, Thomson, Richard B, additional, Weinstein, Melvin P, additional, and Yao, Joseph D, additional

Published
2024
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29. A Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases : 2018 Update by the Infectious Diseases Society of America and the American Society for Microbiology

Author

Miller, J. Michael, Binnicker, Matthew J., Campbell, Sheldon, Carroll, Karen C., Chapin, Kimberle C., Gilligan, Peter H., Gonzalez, Mark D., Jerris, Robert C., Kehl, Sue C., Patel, Robin, Pritt, Bobbi S., Richter, Sandra S., Robinson-Dunn, Barbara, Schwartzman, Joseph D., Snyder, James W., Telford, Sam, Theel, Elitza S., Thomson, Richard B., Weinstein, Melvin P., and Yao, Joseph D.

Published
2018

36. Genomic epidemiology reveals the dominance of Hennepin County in the transmission of SARS-CoV-2 in Minnesota from 2020 to 2022

Author

Scotch, Matthew, primary, Lauer, Kimberly, additional, Wieben, Eric D., additional, Cherukuri, Yesesri, additional, Cunningham, Julie M., additional, Klee, Eric W., additional, Harrington, Jonathan J., additional, Lau, Julie S., additional, McDonough, Samantha J., additional, Mutawe, Mark, additional, O'Horo, John C., additional, Rentmeester, Chad E., additional, Schlicher, Nicole R., additional, White, Valerie T., additional, Schneider, Susan K., additional, Vedell, Peter T., additional, Wang, Xiong, additional, Yao, Joseph D., additional, Pritt, Bobbi S., additional, and Norgan, Andrew P., additional

Published
2023
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38. Detection and quantification of Babesia species intraerythrocytic parasites by flow cytometry.

Author

Vanderboom, Patrick M, Misra, Anisha, Rodino, Kyle G, Eberly, Allison R, Greenwood, Jason D, Morris, Heather E, Norrie, Felicity C, Fernholz, Emily C, Pritt, Bobbi S, and Norgan, Andrew P

Subjects
BABESIA, FLOW cytometry, MACHINE learning, ERYTHROCYTES, POLYMERASE chain reaction, BLOOD parasites
Abstract

Objectives Recent work has demonstrated that automated fluorescence flow cytometry (FLC) is a potential alternative for the detection and quantification of Plasmodium parasites. The objective of this study was to apply this novel FLC method to detect and quantify Babesia parasites in venous blood and compare results to light microscopy and polymerase chain reaction methods. Methods An automated hematology/malaria analyzer (XN-31; Sysmex) was used to detect and quantify B microti –infected red blood cells from residual venous blood samples (n = 250: Babesia positive, n = 170; Babesia negative, n = 80). As no instrument software currently exists for Babesia, qualitative and quantitative machine learning (ML) algorithms were developed to facilitate analysis. Results Performance of the ML models was verified against the XN-31 software using P falciparum –infected samples. When applied to Babesia -infected samples, the qualitative ML model demonstrated an area under the curve (AUC) of 0.956 (sensitivity, 95.9%; specificity, 83.3%) relative to polymerase chain reaction. For valid scattergrams, the qualitive model achieved an AUC of 1.0 (sensitivity and specificity, 100%), while the quantitative model demonstrated an AUC of 0.986 (sensitivity, 94.4%; specificity, 100%). Conclusions This investigation demonstrates that Babesia parasites can be detected and quantified directly from venous blood using FLC. Although promising, opportunities remain to improve the general applicability of the method. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Identification of a novel pathogenic Borrelia species causing Lyme borreliosis with unusually high spirochaetaemia: a descriptive study

Author

Pritt, Bobbi S, Mead, Paul S, Johnson, Diep K Hoang, Neitzel, David F, Respicio-Kingry, Laurel B, Davis, Jeffrey P, Schiffman, Elizabeth, Sloan, Lynne M, Schriefer, Martin E, Replogle, Adam J, Paskewitz, Susan M, Ray, Julie A, Bjork, Jenna, Steward, Christopher R, Deedon, Alecia, Lee, Xia, Kingry, Luke C, Miller, Tracy K, Feist, Michelle A, Theel, Elitza S, Patel, Robin, Irish, Cole L, and Petersen, Jeannine M

Published
2016
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43. Diagnosis and Management of Tickborne Rickettsial Diseases: Rocky Mountain Spotted Fever and Other Spotted Fever Group Rickettsioses, Ehrlichioses, and Anaplasmosis — United States : A Practical Guide for Health Care and Public Health Professionals

Author

Biggs, Holly M., Behravesh, Casey Barton, Bradley, Kristy K., Dahlgren, F. Scott, Drexler, Naomi A., Dumler, J. Stephen, Folk, Scott M., Kato, Cecilia Y., Lash, R. Ryan, Levin, Michael L., Massung, Robert F., Nadelman, Robert B., Nicholson, William L., Paddock, Christopher D., Pritt, Bobbi S., and Traeger, Marc S.

Published
2016

50. Contributors

Author

Arrossi, Andrea V., Attanoos, Richard L., Christine Aubry, Marie, Barrios, Roberto J., Beasley, Mary Beth, Borczuk, Alain C., Brainard, Jennifer, Branscom, Graham A., Butnor, Kelly J., Chirieac, Lucian, Cool, Carlyne D., Cortes-Santiago, Nahir, Deutsch, Gail H., Dishop, Megan K., Farver, Carol F., Fels Elliott, Daffolyn Rachael, Flieder, Douglas B., Gal, Anthony A., Gibbs, Allen R., Guinee, Donald, Jr., Hasanovic, Adnan, Homer, Robert J., Husain, Aliya N., Ionescu, Diana N., Jagirdar, Jaishree S., Leslie, Kevin O., Mani, Haresh, Mneimneh, Wadad S., Moreira, Andre L., Mukhopadhyay, Sanjay, Pritt, Bobbi S., Procop, Gary W., Roden, Anja C., Schulte, Jefree J., Shenoy, Archana, Smith, Maxwell L., Villalba, Julian A., Walker, David H., White, Frances V., Wright, Joanne L., Yi, Eunhee S., Zander, Dani S., and Zhou, Haijun

Published
2025
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