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2. Acute Cardiac Events During COVID-19-Associated Hospitalizations.

Author

Woodruff, Rebecca, Garg, Shikha, George, Mary, Patel, Kadam, Jackson, Sandra, Loustalot, Fleetwood, Wortham, Jonathan, Taylor, Christopher, Whitaker, Michael, Alden, Nisha, Meek, James, Anderson, Evan, Weigel, Andy, Henderson, Justin, Bye, Erica, Davis, Sarah, Barney, Grant, Bennett, Nancy, Shiltz, Eli, Sutton, Melissa, Talbot, H, Price, Andrea, Sperling, Laurence, Havers, Fiona, and Reingold, Arthur

Subjects
COVID-19, SARS-CoV-2, United States, adults, heart diseases, hospitalization, Adult, Humans, COVID-19, SARS-CoV-2, Hospital Mortality, Hospitalization, Heart Diseases
Abstract

BACKGROUND: COVID-19 is associated with cardiac complications. OBJECTIVES: The purpose of this study was to estimate the prevalence, risk factors, and outcomes associated with acute cardiac events during COVID-19-associated hospitalizations among adults. METHODS: During January 2021 to November 2021, medical chart abstraction was conducted on a probability sample of adults hospitalized with laboratory-confirmed SARS-CoV-2 infection identified from 99 U.S. counties in 14 U.S. states in the COVID-19-Associated Hospitalization Surveillance Network. We calculated the prevalence of acute cardiac events (identified by International Classification of Diseases-10th Revision-Clinical Modification codes) by history of underlying cardiac disease and examined associated risk factors and disease outcomes. RESULTS: Among 8,460 adults, 11.4% (95% CI: 10.1%-12.9%) experienced an acute cardiac event during a COVID-19-associated hospitalization. Prevalence was higher among adults who had underlying cardiac disease (23.4%; 95% CI: 20.7%-26.3%) compared with those who did not (6.2%; 95% CI: 5.1%-7.6%). Acute ischemic heart disease (5.5%; 95% CI: 4.5%-6.5%) and acute heart failure (5.4%; 95% CI: 4.4%-6.6%) were the most prevalent events; 0.3% (95% CI: 0.1%-0.5%) experienced acute myocarditis or pericarditis. Risk factors varied by underlying cardiac disease status. Patients with ≥1 acute cardiac event had greater risk of intensive care unit admission (adjusted risk ratio: 1.9; 95% CI: 1.8-2.1) and in-hospital death (adjusted risk ratio: 1.7; 95% CI: 1.3-2.1) compared with those who did not. CONCLUSIONS: Acute cardiac events were common during COVID-19-associated hospitalizations, particularly among patients with underlying cardiac disease, and are associated with severe disease outcomes. Persons at greater risk for experiencing acute cardiac events during COVID-19-associated hospitalizations might benefit from more intensive clinical evaluation and monitoring during hospitalization.

Published
2023

12. Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data

Author

Chen, Xi, Wang, Yuan, Cappuccio, Antonio, Cheng, Wan-Sze, Zamojski, Frederique Ruf, Nair, Venugopalan D., Miller, Clare M., Rubenstein, Aliza B., Nudelman, German, Tadych, Alicja, Theesfeld, Chandra L., Vornholt, Alexandria, George, Mary-Catherine, Ruffin, Felicia, Dagher, Michael, Chawla, Daniel G., Soares-Schanoski, Alessandra, Spurbeck, Rachel R., Ndhlovu, Lishomwa C., Sebra, Robert, Kleinstein, Steven H., Letizia, Andrew G., Ramos, Irene, Fowler, Jr, Vance G., Woods, Christopher W., Zaslavsky, Elena, Troyanskaya, Olga G., and Sealfon, Stuart C.

Published
2023
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13. Pragmatic solutions to reduce the global burden of stroke: a World Stroke Organization–Lancet Neurology Commission

Author

Feigin, Valery L, Abd-Allah, Foad, Akinyemi, Rufus O, Bhattacharjee, Natalia V, Brainin, Michael, Cao, Jackie, Caso, Valeria, Dalton, Bronte, Davis, Alan, Dempsey, Robert, Duprey, Joseph, Feng, Wuwei, Ford, Gary A, Gall, Seana, Gandhi, Dorcas, Good, David C, Hachinski, Vladimir, Hacke, Werner, Hankey, Graeme J, Ishida, Marie, Johnson, Walter, Kim, Julie, Lavados, Pablo, Lindsay, Patrice, Mahal, Ajay, Martins, Sheila, Murray, Christopher, Nguyen, Thuy Phuong, Norrving, Bo, Olaiya, Muideen T, Olalusi, Oladotun V, Pandian, Jeyaraj, Phan, Hoang, Platz, Thomas, Ranta, Anna, Rehman, Sabah, Roth, Greg, Sebastian, Ivy Anne, Smith, Amanda E, Suwanwela, Nijasri C, Sylaja, P N, Thapa, Rajshree, Thrift, Amanda G, Uvere, Ezinne, Vollset, Stein Emil, Yavagal, Dileep, Yaria, Joseph, Owolabi, Mayowa O, Abera, Semaw Ferede, Akinyemi, Rufus, Dempsey, Robert J, Ibrahim, Norlinah Mohamed, Liu, Liping, Ovbiagele, Bruce, Piradov, Michael, Suwanwela, Nijasri, Abanto, Carlos, Addissie, Adamu, Adeleye, Amos O, Adilbekov, Yerzhan, Adilbekova, Bibigul, Adoukonou, Thierry A, Aguiar de Sousa, Diana, Akhmetzhanova, Zauresh, Akpalu, Albert, El Alaoui-Faris, Mustapha, Ameriso, Sebastian F, Andonova, Silva, Arsovska, Anita, Awoniyi, Folorunso E, Bakhiet, Moiz, Barboza, Miguel A, Basri, Hamidon, Bath, Philip M, Bereczki, Daniel, Beretta, Simone, Berkowitz, Aaron L, Bernhardt, Julie, Berzina, Guna, Bhavsar, Bhavan, Bisharyan, Mher S, Bohara, Manoj, Bovet, Pascal, Budincevic, Hrvoje, Cadilhac, Dominique A, Čerimagić, Denis, Charway-Felli, Augustina, Chen, Christopher, Chin, Jerome H, Christensen, Hanne, Chwojnicki, Kamil, Conforto, Adriana B, Correia, Manuel, Mora Cuervo, Daissy L, Członkowska, Anna, D'Amelio, Marco, Danielyan, Kristine E, Davis, Stephen, Demarin, Vida, Demchuk, Andrew M, Dichgans, Martin, Dokova, Klara, Donnan, Geoffrey, Duran, Juan Carlos, Ekeng, Gloria, Elkind, Mitchell S, Endres, Matthias, Fischer, Urs, Flomin, Yuriy, Gankpe, Fortuné, Gavidia, Martin, Gaye Saavedra, Andrés, Gebreyohanns, Mehari, George, Mary, Gierlotka, Marek, Giroud, Maurice, Gnedovskaya, Elena V, Gonçalves, Ivete Pillo, Gongora-Rivera, Fernando, Gunaratne, Padma S, Hamadeh, Randah R, Hamzat, Tal-hatu K, Heldner, Mirjam R, Ibrahim, Etedal, Ihle-Hansen, Hanne, Jee, Sungju, Jiann-Shing, Jeng, Johnston, S Clay, Jovanovic, Dejana, Jurjāns, Kristaps, Kalani, Rizwan, Kalkonde, Yogeshwar, Kamenova, Saltanat, Karaszewski, Bartosz, Kelly, Peter, Kiechl, Stefan, Kondybayeva, Aida, Kõrv, Janika, Kozera, Grzegorz, Kravchenko, Michael, Krespi, Yakup, Krishnamurthi, Rita, Kruja, Jera, Kutluk, Kursad, Langhorne, Peter, Law, Zhe K, Lebedynets, Dmytro, Lee, Tsong-Hai, Leung, Thomas W, Liebeskind, David S, López-Jaramillo, Patricio, Lotufo, Paulo A, Machline-Carrion, M Julia, Maia, Luis F, Malojcic, Branko, Markus, Hugh S, Marquez-Romero, Juan M, Medina, Marco T, Medukhanova, Sabina, Mehndiratta, Man Mohan, Miglāne, Evija, Mihejeva, Illa, Mikulik, Robert, Mirrakhimov, Erkin, Mohl, Stephanie, Munakomi, Sunil, Murphy, Sean, Musa, Kamarul I, Nasreldein, Ahmed, Nogueira, Raul G, Nolte, Christian H, Noubiap, Jean Jacques, Novarro-Escudero, Nelson, Ocampo, Cassandra, O'Donnell, Martin, Ogun, Yomi, Ogunniyi, Adesola, Oraby, Mohammed I, Ōrken, Dilek N, Ōzdemir, Atilla O, Ozturk, Serefnur, Paccot, Mélanie, Pereira, Telmo, Peeters, André, Potpara, Tatjana, Proios, Hariklia, Rathore, Farooq A, Sacco, Ralph L, Sahathevan, Ramesh, Sandset, Else S, Renato Santos, Irving, Saposnik, Gustavo, Sarfo, Fred S, Sargento-Freitas, João, Sharma, Mukul, Shaw, Louise, Sheth, Kevin N, Shin, Yong-Il, Shobhana, A, Silva, S Nishan, Tedim Cruz, Vitor, Thakur, Kiran, Thapa, Lekh Jung, Toni, Danilo, Topcuoglu, Mehmetakif A, Torales, Julio, Towfighi, Amytis, Truelsen, Thomas, Tsiskaridze, Alexander, Tulloch-Reid, Marshall, Useche, Juan N, Vanacker, Peter, Vassilopoulou, Sophia, Vukorepa, Gorana, Vuletic, Vladimira, Wahab, Kolawole W, Wang, Wenzhi, Wijeratne, Tissa, Wojtyniak, Bogdan, Wolfe, Charles, Yacouba, Mapoure N, Yang, Jie, Yifru, Yared M, Yock-Corrales, Adriana, Yonemoto, Naohiro, Yperzeele, Laetitia, and Zagożdżon, Pawel

Published
2023
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19. A methylation clock model of mild SARS‐CoV‐2 infection provides insight into immune dysregulation

Author

Mao, Weiguang, Miller, Clare M, Nair, Venugopalan D, Ge, Yongchao, Amper, Mary Anne S, Cappuccio, Antonio, George, Mary‐Catherine, Goforth, Carl W, Guevara, Kristy, Marjanovic, Nada, Nudelman, German, Pincas, Hanna, Ramos, Irene, Sealfon, Rachel S G, Soares‐Schanoski, Alessandra, Vangeti, Sindhu, Vasoya, Mital, Weir, Dawn L, Zaslavsky, Elena, Barcessat, Vanessa, Tuballes, Kevin, Del Valle, Diane Marie, Nie, Kai, Xie, Hui, Chung, Grace, Patel, Manishkumar, Harris, Jocelyn, Argueta, Kimberly, Fehr, Jacques, Gruberg, Barr, Zaki, Nicholas, Kim‐Schulze, Seunghee, Gnjatic, Sacha, Merad, Miriam, Letizia, Andrew G, Troyanskaya, Olga G, Sealfon, Stuart C, and Chikina, Maria

Published
2023
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21. State Practice of Asian Countries in International Law

Author

George, Mary, primary, Balasingam, Usharani, additional, Begum, Haezreena, additional, Chin, Ong Tze, additional, Faruqi, Shad Saleem, additional, Mon, Su Wai, additional, Moslemzadeh Tehrani, Pardis, additional, and Zakri, Izura Masdina Mohamed, additional

Published
2022
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31. Author Correction: Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data

Author

Chen, Xi, Wang, Yuan, Cappuccio, Antonio, Cheng, Wan-Sze, Zamojski, Frederique Ruf, Nair, Venugopalan D., Miller, Clare M., Rubenstein, Aliza B., Nudelman, German, Tadych, Alicja, Theesfeld, Chandra L., Vornholt, Alexandria, George, Mary-Catherine, Ruffin, Felicia, Dagher, Michael, Chawla, Daniel G., Soares-Schanoski, Alessandra, Spurbeck, Rachel R., Ndhlovu, Lishomwa C., Sebra, Robert, Kleinstein, Steven H., Letizia, Andrew G., Ramos, Irene, Fowler, Jr, Vance G., Woods, Christopher W., Zaslavsky, Elena, Troyanskaya, Olga G., and Sealfon, Stuart C.

Published
2023
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32. Toward Safer Opioid Prescribing in HIV care (TOWER): a mixed-methods, cluster-randomized trial

Author

Cedillo, Gabriela, George, Mary Catherine, Deshpande, Richa, Benn, Emma K. T., Navis, Allison, Nmashie, Alexandra, Siddiqui, Alina, Mueller, Bridget R., Chikamoto, Yosuke, Weiss, Linda, Scherer, Maya, Kamler, Alexandra, Aberg, Judith A., Vickrey, Barbara G., Bryan, Angela, Horn, Brady, Starkweather, Angela, Fisher, Jeffrey, and Robinson-Papp, Jessica

Published
2022
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33. Importance of machine learning based clustering algorithmsin wireless sensor networks.

Author

George, Mary Nirmala and Shelly, Siddharth

Subjects
*WIRELESS sensor networks, *CHOICE (Psychology), *K-means clustering, *MACHINE learning, *ENERGY dissipation, *FUZZY algorithms, *ROUTING algorithms
Abstract

Multiple sensors dispersed across a large region constitute Wireless Sensor Networks, or WSNs. One base station or sink node receives the data that is collected from various sensors by the cluster head of each cluster, which is made up of the sensors grouped in distinct clusters. Sensor nodes are frequently installed in locations that are difficult for people to access. Normally sensor nodes are powered by batteries. The main challenge in the WSN application is saving energy and increase battery life. It increases the life time of the entire network. One of the best ways to save energy is to choose the right routing scheme. The Low Energy Adaptive Clustering Hierarchy algorithm, or LEACH, is among the greatest routing algorithms in terms of energy efficiency. In LEACH algorithm sensor nodes are arranged as different clusters and then transfer the information. Clustering means divide sensor nodes into smaller number of groups. To form different clusters, we can use different machine learning approaches. Here in this paper explains some machine learning based clustering algorithms which helps in routing of sensor nodes. A network's lifetime is extended and energy loss is minimized using an effective clustering method. Here explains K-Means clustering algorithm, Density-Based Spatial Clustering (DBSCAN), Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) and FUZZY Clustering. K-Means clustering algorithm means form K different clusters. Initially form K different centroids, then calculate distance from each node to K-different centroids and assign these nodes to different clusters based on the minimum distance. Then centroids are updated and repeat this procedure until the same clusters are formed. In DBSCAN clustering denser nodes are grouped together and forms arbitrary shaped clusters. In this method classify nodes into core point, border point, and outlier point. Based on these classification neighboring points are grouped into one cluster. That is core points with its neighbors along with its border points forms dense clusters. In BIRCH clustering we can cluster large datasets effectively. First generate a small summary of the large datasets. Then this small summary again divided into different clusters. In fuzzy clustering as the name suggest it create fuzzy clusters, and assign a membership degree to each node for each cluster. A node that is closer to one cluster has a higher membership degree. Fuzzy clustering may be useful in situations where the data has a complex structure since it permits overlapping clusters. Also, here explains some merits and demerits of K-means, DBSCAN, BIRCH and fuzzy clustering algorithms. [ABSTRACT FROM AUTHOR]

Published
2024
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41. SARS-CoV-2 seropositivity and subsequent infection risk in healthy young adults: a prospective cohort study

Author

Letizia, Andrew G, Ge, Yongchao, Vangeti, Sindhu, Goforth, Carl, Weir, Dawn L, Kuzmina, Natalia A, Balinsky, Corey A, Chen, Hua Wei, Ewing, Dan, Soares-Schanoski, Alessandra, George, Mary-Catherine, Graham, William D, Jones, Franca, Bharaj, Preeti, Lizewski, Rhonda A, Lizewski, Stephen E, Marayag, Jan, Marjanovic, Nada, Miller, Clare M, Mofsowitz, Sagie, Nair, Venugopalan D, Nunez, Edgar, Parent, Danielle M, Porter, Chad K, Santa Ana, Ernesto, Schilling, Megan, Stadlbauer, Daniel, Sugiharto, Victor A, Termini, Michael, Sun, Peifang, Tracy, Russell P, Krammer, Florian, Bukreyev, Alexander, Ramos, Irene, and Sealfon, Stuart C

Published
2021
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47. SARS-CoV-2 Outbreak Dynamics in an Isolated US Military Recruit Training Center With Rigorous Prevention Measures

Author

Lizewski, Rhonda A., Sealfon, Rachel S. G., Park, Sang Woo, Smith, Gregory R., Porter, Chad K., Gonzalez-Reiche, Ana S., Ge, Yongchao, Miller, Clare M., Goforth, Carl W., Pincas, Hanna, Termini, Michael S., Ramos, Irene, Nair, Venugopalan D., Lizewski, Stephen E., Alshammary, Hala, Cer, Regina Z., Chen, Hua Wei, George, Mary-Catherine, Arnold, Catherine E., Glang, Lindsay A., Long, Kyle A., Malagon, Francisco, Marayag, Jan J., Nunez, Edgar, Rice, Gregory K., Santa Ana, Ernesto, Schilling, Megan A., Smith, Darci R., Sugiharto, Victor A., Sun, Peifang, van de Guchte, Adriana, Khan, Zenab, Dutta, Jayeeta, Vangeti, Sindhu, Voegtly, Logan J., Weir, Dawn L., Metcalf, C. Jessica E., Troyanskaya, Olga G., Bishop-Lilly, Kimberly A., Grenfell, Bryan T., van Bakel, Harm, Letizia, Andrew G., and Sealfon, Stuart C.

Published
2022
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49. Priorities for HIV and chronic pain research: results from a survey of individuals with lived experience.

Author

Robinson-Papp, Jessica, Lawrence, Steven, Wadley, Antonia, Scott, Whitney, George, Mary Catherine, Josh, Jo, O'Brien, Kelly K., Price, Collen, Uebelacker, Lisa, Edelman, E. Jennifer, Evangeli, Michael, Goodin, Burel R., Harding, Richard, Nkhoma, Kennedy, Parker, Romy, Sabin, Caroline, Slawek, Deepika, Tsui, Judith I., and Merlin, Jessica S.

Subjects
HIV infection risk factors, SUBSTANCE abuse treatment, CHRONIC pain treatment, HIV prevention, COST control, CHRONIC pain, RESEARCH funding, MENTAL health, RESEARCH evaluation, QUESTIONNAIRES, HIV infections, EXPERIENCE, PRIORITY (Philosophy), PATIENTS' attitudes, MEDICAL care costs, PATIENT participation, DISEASE risk factors
Abstract

The Global Task Force on Chronic Pain in HIV published seven research priorities in the field of HIV-associated chronic pain in 2019: (1) causes; (2) management; (3) treatment individualization and integration with addiction treatment; (4) mental and social health factors; (5) prevalence; (6) treatment cost effectiveness; and (7) prevention. The current study used a web-based survey to determine whether the research topics were aligned with the priorities of adults with lived experiences of HIV and chronic pain. We also collected information about respondents' own pain and treatment experiences. We received 311 survey responses from mostly US-based respondents. Most respondents reported longstanding, moderate to severe, multisite pain, commonly accompanied by symptoms of anxiety and/or depression. The median number of pain treatments tried was 10 (IQR = 8, 13), with medications and exercise being the most common modalities, and opioids being viewed as the most helpful. Over 80% of respondents considered all research topics either "extremely important" or "very important". Research topic #2, which focused on optimizing management of pain in people with HIV, was accorded the greatest importance by respondents. These findings suggest good alignment between the priorities of researchers and US-based people with lived experience of HIV-associated chronic pain. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Sustainable Inclusive Framework Studio for Inclusive Education—Perceptions of Teachers, Parents, and Students in United Arab Emirates.

Author

Dev, Smitha, George, Mary, Rafique, Sidra, Vaddapalli, Maruthi, Nair, Sreethi, and Al Hameli, Asmaa

Abstract

Inclusive education has gained recognition worldwide, with schools and universities adopting various approaches to prioritize inclusivity. However, the challenges faced by educational institutions in this process cannot be ignored. Addressing these challenges is essential in creating a more inclusive society that values and celebrates diversity. This study aims to introduce a model called the Sustainable Inclusive Framework Studio (SIF Studio), which incorporates inclusiveness principles. This model draws from Lev Vygotsky's social constructivism and Albert Bandura's behavior modeling theories. SIF Studio is a framework that emphasizes inclusivity, sustainability, and innovation in education. A quantitative approach is employed to explore the perceptions of teachers, parents, and students regarding the implementation of SIF Studio. The study results revealed that there is a significant difference in the perceptions of students, teachers, and parents before and after the introduction of SIF Studio. By designing and developing SIF Studio specifically for educational institutions, this research aims to bridge the gap between inclusivity goals and practical implementation while aiming for the sustainability goals alongside this. [ABSTRACT FROM AUTHOR]

Published
2024
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