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Your search keyword '"Garg, Amit"' showing total 209 results
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209 results on '"Garg, Amit"'

1. Phi-3 Safety Post-Training: Aligning Language Models with a 'Break-Fix' Cycle

Author

Haider, Emman, Perez-Becker, Daniel, Portet, Thomas, Madan, Piyush, Garg, Amit, Ashfaq, Atabak, Majercak, David, Wen, Wen, Kim, Dongwoo, Yang, Ziyi, Zhang, Jianwen, Sharma, Hiteshi, Bullwinkel, Blake, Pouliot, Martin, Minnich, Amanda, Chawla, Shiven, Herrera, Solianna, Warreth, Shahed, Engler, Maggie, Lopez, Gary, Chikanov, Nina, Dheekonda, Raja Sekhar Rao, Jagdagdorj, Bolor-Erdene, Lutz, Roman, Lundeen, Richard, Westerhoff, Tori, Bryan, Pete, Seifert, Christian, Kumar, Ram Shankar Siva, Berkley, Andrew, and Kessler, Alex

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

Recent innovations in language model training have demonstrated that it is possible to create highly performant models that are small enough to run on a smartphone. As these models are deployed in an increasing number of domains, it is critical to ensure that they are aligned with human preferences and safety considerations. In this report, we present our methodology for safety aligning the Phi-3 series of language models. We utilized a "break-fix" cycle, performing multiple rounds of dataset curation, safety post-training, benchmarking, red teaming, and vulnerability identification to cover a variety of harm areas in both single and multi-turn scenarios. Our results indicate that this approach iteratively improved the performance of the Phi-3 models across a wide range of responsible AI benchmarks. Finally, we include additional red teaming strategies and evaluations that were used to test the safety behavior of Phi-3.5-mini and Phi-3.5-MoE, which were optimized for multilingual capabilities.

Published
2024

2. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Author

Abdin, Marah, Aneja, Jyoti, Awadalla, Hany, Awadallah, Ahmed, Awan, Ammar Ahmad, Bach, Nguyen, Bahree, Amit, Bakhtiari, Arash, Bao, Jianmin, Behl, Harkirat, Benhaim, Alon, Bilenko, Misha, Bjorck, Johan, Bubeck, Sébastien, Cai, Martin, Cai, Qin, Chaudhary, Vishrav, Chen, Dong, Chen, Dongdong, Chen, Weizhu, Chen, Yen-Chun, Chen, Yi-Ling, Cheng, Hao, Chopra, Parul, Dai, Xiyang, Dixon, Matthew, Eldan, Ronen, Fragoso, Victor, Gao, Jianfeng, Gao, Mei, Gao, Min, Garg, Amit, Del Giorno, Allie, Goswami, Abhishek, Gunasekar, Suriya, Haider, Emman, Hao, Junheng, Hewett, Russell J., Hu, Wenxiang, Huynh, Jamie, Iter, Dan, Jacobs, Sam Ade, Javaheripi, Mojan, Jin, Xin, Karampatziakis, Nikos, Kauffmann, Piero, Khademi, Mahoud, Kim, Dongwoo, Kim, Young Jin, Kurilenko, Lev, Lee, James R., Lee, Yin Tat, Li, Yuanzhi, Li, Yunsheng, Liang, Chen, Liden, Lars, Lin, Xihui, Lin, Zeqi, Liu, Ce, Liu, Liyuan, Liu, Mengchen, Liu, Weishung, Liu, Xiaodong, Luo, Chong, Madan, Piyush, Mahmoudzadeh, Ali, Majercak, David, Mazzola, Matt, Mendes, Caio César Teodoro, Mitra, Arindam, Modi, Hardik, Nguyen, Anh, Norick, Brandon, Patra, Barun, Perez-Becker, Daniel, Portet, Thomas, Pryzant, Reid, Qin, Heyang, Radmilac, Marko, Ren, Liliang, de Rosa, Gustavo, Rosset, Corby, Roy, Sambudha, Ruwase, Olatunji, Saarikivi, Olli, Saied, Amin, Salim, Adil, Santacroce, Michael, Shah, Shital, Shang, Ning, Sharma, Hiteshi, Shen, Yelong, Shukla, Swadheen, Song, Xia, Tanaka, Masahiro, Tupini, Andrea, Vaddamanu, Praneetha, Wang, Chunyu, Wang, Guanhua, Wang, Lijuan, Wang, Shuohang, Wang, Xin, Wang, Yu, Ward, Rachel, Wen, Wen, Witte, Philipp, Wu, Haiping, Wu, Xiaoxia, Wyatt, Michael, Xiao, Bin, Xu, Can, Xu, Jiahang, Xu, Weijian, Xue, Jilong, Yadav, Sonali, Yang, Fan, Yang, Jianwei, Yang, Yifan, Yang, Ziyi, Yu, Donghan, Yuan, Lu, Zhang, Chenruidong, Zhang, Cyril, Zhang, Jianwen, Zhang, Li Lyna, Zhang, Yi, Zhang, Yue, Zhang, Yunan, and Zhou, Xiren

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal testing, rivals that of models such as Mixtral 8x7B and GPT-3.5 (e.g., phi-3-mini achieves 69% on MMLU and 8.38 on MT-bench), despite being small enough to be deployed on a phone. Our training dataset is a scaled-up version of the one used for phi-2, composed of heavily filtered publicly available web data and synthetic data. The model is also further aligned for robustness, safety, and chat format. We also provide parameter-scaling results with a 7B, 14B models trained for 4.8T tokens, called phi-3-small, phi-3-medium, both significantly more capable than phi-3-mini (e.g., respectively 75%, 78% on MMLU, and 8.7, 8.9 on MT-bench). To enhance multilingual, multimodal, and long-context capabilities, we introduce three models in the phi-3.5 series: phi-3.5-mini, phi-3.5-MoE, and phi-3.5-Vision. The phi-3.5-MoE, a 16 x 3.8B MoE model with 6.6 billion active parameters, achieves superior performance in language reasoning, math, and code tasks compared to other open-source models of similar scale, such as Llama 3.1 and the Mixtral series, and on par with Gemini-1.5-Flash and GPT-4o-mini. Meanwhile, phi-3.5-Vision, a 4.2 billion parameter model derived from phi-3.5-mini, excels in reasoning tasks and is adept at handling both single-image and text prompts, as well as multi-image and text prompts., Comment: 24 pages

Published
2024

6. Machine Learning Model for Traffic Prediction and Pattern Extraction in High-Speed Optical Networks

Author

Rai, Saloni, Garg, Amit Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Fortino, Giancarlo, editor, Kumar, Akshi, editor, Swaroop, Abhishek, editor, and Shukla, Pancham, editor

Published
2024
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7. Deep Convolutional Encoder–Decoder Models for Road Extraction from Aerial Imagery

Author

Kumar, Ashish, Izharul Hasan Ansari, M., Garg, Amit, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Joshi, Amit, editor, Mahmud, Mufti, editor, Ragel, Roshan G., editor, and Karthik, S., editor

Published
2024
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8. Traffic Optimization and Optimal Routing in 5G SDN Networks Using Deep Learning

Author

Kulshreshtha, Piyush, Garg, Amit Kumar, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Shaw, Rabindra Nath, editor, Siano, Pierluigi, editor, Makhilef, Saad, editor, Ghosh, Ankush, editor, and Shimi, S. L., editor

Published
2024
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11. Methodological innovations and stakeholder involvement in core outcome sets for skin diseases: a survey of the C3 working groups

Author

Ahmed, Areeba, Koza, Eric, Shi, Victoria, Ma, Melissa, Haq, Misha, Kottner, Jan, Garg, Amit, Ingram, John R., Ezzedine, Khaled, Spuls, Phyllis I., Beeckman, Dimitri, Wolkenstein, Pierre, Fransen, Frederike, Noe, Megan H., Langbroek, Ginger Beau, Bauer, Andrea, Thorlacius, Linnea, Horbach, Sophie E. R., Layton, Alison, Apfelbacher, Christian, Cahn, Brian A., Pearlman, Ross, Schlessinger, Daniel I., and Alam, Murad

Published
2024
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14. Clinical relevance and uptake of core outcome sets in dermatology

Author

Ahmed, Areeba, Koza, Eric, Shi, Victoria, Ma, Melissa, Haq, Misha, Kottner, Jan, Garg, Amit, Ingram, John R., Ezzedine, Khaled, Spuls, Phyllis I., Beeckman, Dimitri, Wolkenstein, Pierre, Fransen, Frederike, Noe, Megan H., Langbroek, Ginger Beau, Bauer, Andrea, Thorlacius, Linnea, Horbach, Sophie E. R., Layton, Alison, Apfelbacher, Christian, Cahn, Brian A., Pearlman, Ross, Schlessinger, Daniel I., and Alam, Murad

Published
2024
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16. Efficacy and safety of bimekizumab in patients with moderate-to-severe hidradenitis suppurativa (BE HEARD I and BE HEARD II): two 48-week, randomised, double-blind, placebo-controlled, multicentre phase 3 trials

Author

Kimball, Alexa B, Jemec, Gregor B E, Sayed, Christopher J, Kirby, Joslyn S, Prens, Errol, Ingram, John R, Garg, Amit, Gottlieb, Alice B, Szepietowski, Jacek C, Bechara, Falk G, Giamarellos-Bourboulis, Evangelos J, Fujita, Hideki, Rolleri, Robert, Joshi, Paulatsya, Dokhe, Pratiksha, Muller, Edward, Peterson, Luke, Madden, Cynthia, Bari, Muhammad, and Zouboulis, Christos C

Published
2024
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17. Vaccination recommendations for adults receiving biologics and oral therapies for psoriasis and psoriatic arthritis: Delphi consensus from the medical board of the National Psoriasis Foundation

Author

Chat, Vipawee S., Ellebrecht, Christoph T., Kingston, Paige, Gondo, George, Bell, Stacie, Cordoro, Kelly M., Desai, Seemal R., Duffin, Kristina C., Feldman, Steven R., Garg, Amit, Gelfand, Joel M., Gladman, Dafna, Green, Lawrence J., Gudjonsson, Johann, Han, George, Hawkes, Jason E., Kircik, Leon, Koo, John, Langley, Richard, Lebwohl, Mark, Michael Lewitt, G., Liao, Wilson, Martin, George, Orbai, Ana-Maria, Reddy, Soumya M., Richardson, Veronica, Ritchlin, Christopher T., Schwartzman, Sergio, Siegel, Evan L., Van Voorhees, Abby S., Wallace, Elizabeth B., Weinberg, Jeffrey M., Winthrop, Kevin L., Yamauchi, Paul, and Armstrong, April W.

Published
2024
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18. Implementation and Efficacy of a Large-Scale Radiation Oncology Case-Based Peer-Review Quality Program across a Multinational Cancer Network

Author

Ludmir, Ethan B., Hoffman, Karen E., Jhingran, Anuja, Kouzy, Ramez, Ip, Mee-chung Puscilla, Sturdevant, Laurie, Ning, Matthew S., Minsky, Bruce D., McAleer, Mary Frances, Chronowski, Gregory M., Arzu, Isidora Y., Reed, Valerie Klairisa, Garg, Amit K., Roberts, Terence, Eastwick, Gary A., Olson, Michael R., Selek, Ugur, Gabel, Molly, Koong, Albert C., Kupferman, Michael E., and Kuban, Deborah A.

Published
2024
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22. Regional Practice Variation and Outcomes in the Standard Versus Accelerated Initiation of Renal Replacement Therapy in Acute Kidney Injury (STARRT-AKI) Trial: A Post Hoc Secondary Analysis

Author

Vaara, Suvi T., Serpa Neto, Ary, Bellomo, Rinaldo, Adhikari, Neill K. J., Dreyfuss, Didier, Gallagher, Martin, Gaudry, Stephane, Hoste, Eric, Joannidis, Michael, Pettilä, Ville, Wang, Amanda Y., Kashani, Kianoush, Wald, Ron, Bagshaw, Sean M., Ostermann, Marlies, Bagshaw, Sean M, Wald, Ron, Adhikari, Neill K.J., Bellomo, Rinaldo, Dreyfuss, Didier, Du, Bin, Gallagher, Martin P., Gaudry, Stéphane, Hoste, Eric A., Lamontagne, François, Joannidis, Michael, Liu, Kathleen D., McAuley, Daniel F., McGuinness, Shay P., Nichol, Alistair D., Ostermann, Marlies, Palevsky, Paul M., Qiu, Haibo, Pettilä, Ville, Schneider, Antoine G., Smith, Orla M., Vaara, Suvi T., Weir, Matthew, Bellomo, Rinaldo, Eastwood, Glenn M., Peck, Leah, Young, Helen, Kruger, Peter, Laurie, Gordon, Saylor, Emma, Meyer, Jason, Venz, Ellen, Wetzig, Krista, French, Craig, McGain, Forbes, Mulder, John, Fennessy, Gerard, Koottayi, Sathyajith, Bates, Samantha, Towns, Miriam, Morgan, Rebecca, Tippett, Anna, Udy, Andrew, Mason, Chris, Licari, Elisa, Gantner, Dashiell, McClure, Jason, Nichol, Alistair, McCracken, Phoebe, Board, Jasmin, Martin, Emma, Vallance, Shirley, Young, Meredith, Vladic, Chelsey, McGloughlin, Steve, Gattas, David, Buhr, Heidi, Coles, Jennifer, Hutch, Debra, Wun, James, Cole, Louise, Whitehead, Christina, Lowrey, Julie, Masters, Kristy, Gresham, Rebecca, Campbell, Victoria, Gutierrez, David, Brailsford, Jane, Forbes, Loretta, Murray, Lauren, Maguire, Teena, NiChonghaile, Martina, Orford, Neil, Bone, Allison, Elderkin, Tania, Salerno, Tania, Chimunda, Tim, Fletcher, Jason, Broadfield, Emma, Porwal, Sanjay, Knott, Cameron, Boschert, Catherine, Smith, Julie, Richardson, Angus, Hill, Dianne, Duke, Graeme, Oziemski, Peter, Cegarra, Santiago, Chan, Peter, Welsh, Deborah, Hunter, Stephanie, Roodenburg, Owen, Dyett, John, Kokotsis, Nicos, Moser, Max, Yang, Yang, Padayachee, Laven, Vetro, Joseph, Gangopadhyay, Himangsu, Kaufman, Melissa, Ghosh, Angaj, Said, Simone, Patel, Alpesh, Bihari, Shailesh, Matheson, Elisha, Jin, Xia, Shrestha, Tapaswi, Schwartz, Kate, Gallagher, Martin P., Cross, Rosalba, Cheung, Winston, Wong, Helen, Kol, Mark, Shah, Asim, Wang, Amanda Y., Endre, Zoltan, Bradford, Celia, Janin, Pierre, Finfer, Simon, Diel, Naomi, Gatward, Jonathan, Hammond, Naomi, Delaney, Anthony, Bass, Frances, Yarad, Elizabeth, Buscher, Hergen, Reynolds, Claire, Baker, Nerilee, Joannidis, Michael, Bellmann, Romuald, Peer, Andreas, Hasslacher, Julia, Koglberger, Paul, Klein, Sebastian, Zotter, Klemens, Brandtner, Anna, Finkenstedt, Armin, Ditlbacher, Adelheid, Hartig, Frank, Fries, Dietmar, Bachler, Mirjam, Schenk, Bettina, Wagner, Martin, Staudinger, Thomas, Tiller, Esther, Schellongowski, Peter, Bojic, Andja, Hoste, Eric A., Bracke, Stephanie, De Crop, Luc, Vermeiren, Daisy, Thome, Fernando, Chiella, Bianca, Fendt, Lucia, Antunes, Veronica, Maisonneuve-Rosemont, Lafrance, Jean-Philippe, Lamontagne, François, D’Aragon, Frédérick, St-Arnaud, Charles, Mayette, Michael, Carbonnaeu, Élaine, Marchand, Joannie, Masse, Marie-Hélène, Ladouceur, Marilène, Turgeon, Alexis F., Lauzier, François, Bellemare, David, Langis Francoeur, Charles, LeBlanc, Guillaume, Guilbault, Gabrielle, Grenier, Stéphanie, Cloutier, Eve, Boivin, Annick, Delisle-Thibault, Charles, Giannakouros, Panagiota, Costerousse, Olivier, Cailhier, Jean-François, Carrier, François-Martin, Ghamraoui, Ali, Lebrasseur, Martine, Benettaib, Fatna, Salamé, Maya, Boumahni, Dounia, Tung Sia, Ying, Naud, Jean-François, Roy, Isabelle, Stelfox, Henry T., Ruddell, Stacey, Manns, Braden J., Duggan, Shelley, Carney, Dominic, Barchard, Jennifer, Whitlock, Richard P., Belley-Cote, Emilie, Savija, Nevena, Sabev, Alexandra, Campbell, Troy, Creary, Thais, Devereaux, Kelson, Brodutch, Shira, Rigatto, Claudio, Paunovic, Bojan, Mooney, Owen, Glybina, Anna, Harasemiw, Oksana, Di Nella, Michelle, Harmon, John, Mehta, Navdeep, Lakatos, Louis, Haslam, Nicole, Lellouche, Francois, Simon, Mathieu, Tung, Ying, Lizotte, Patricia, Bourchard, Pierre-Alexandre, Rochwerg, Bram, Karachi, Tim, Millen, Tina, Muscedere, John, Maslove, David, Gordon Boyd, J., Sibley, Stephanie, Drover, John, Hunt, Miranda, Georgescu, Ilinca, Wax, Randy, Lenga, Ilan, Sridhar, Kavita, Steele, Andrew, Fusco, Kelly, Ghate, Taneera, Tolibas, Michael, Robinson, Holly, Weir, Matthew A., Taneja, Ravi, Ball, Ian M., Garg, Amit, Campbell, Eileen, Ovsenek, Athena, Bagshaw, Sean M., van Diepen, Sean, Baig, Nadia, Magder, Sheldon, Yao, Han, Alam, Ahsan, Campisi, Josie, MacIntyre, Erika, Rokosh, Ella, Scherr, Kimberly, Lapinsky, Stephen, Mehta, Sangeeta, Shah, Sumesh, Niven, Daniel J., Stelfox, Henry T., Ruddell, Stacey, Russell, Michael, Jim, Kym, Brown, Gillian, Oxtoby, Kerry, Hall, Adam, Benoit, Luc, Sokolowski, Colleen, Prasad, Bhanu, Rao, Jag, Giebel, Shelley, Kutsogiannis, Demetrios J., Thompson, Patricia, Thompson, Tayne, Cirone, Robert, Kavikondala, Kanthi, Soth, Mark, Clarke, France, Takaoka, Alyson, Wald, Ron, Mazer, David, Burns, Karen, Friedrich, Jan, Klein, David, Sandhu, Gyan, Santos, Marlene, Khalid, Imrana, Hodder, Jennifer, Dodek, Peter, Ayas, Najib, Alcuaz, Victoria, Suen, Gabriel, Rewa, Oleksa, Singh, Gurmeet, Norris, Sean, Gibson, Neil, Arias, Castro, Shami, Aysha, Pelletier, Celine, Adhikari, Neill K.J., Zahirieh, Alireza, Amaral, Andre, Marinoff, Nicole, Kaur, Navjot, Perez, Adic, Wang, Jane, Haljan, Gregory, Condin, Christopher, McIntyre, Lauralyn, Gomes, Brigette, Porteous, Rebecca, Watpool, Irene, Hiremath, Swapnil, Clark, Edward, Herridge, Margaret S., Backhouse, Felicity, Elizabeth Wilcox, M., Walczak, Karolina, Ki, Vincent, Sharman, Asheer, Romano, Martin, Bagshaw, Sean M., Noel Gibney, R.T., Romanovsky, Adam S., Rewa, Oleksa, McCoshen, Lorena, Baig, Nadia, Wood, Gordon, Ovakim, Daniel, Auld, Fiona, Carney, Gayle, Duan, Meili, Ji, Xiaojun, Guo, Dongchen, Qi, Zhili, Lin, Jin, Zhang, Meng, Dong, Lei, Liu, Jingfeng, Liu, Pei, Zhi, Deyuan, Bai, Guoqiang, Qiu, Yu, Yang, Ziqi, Bai, Jing, Liu, Zhuang, Zhuang, Haizhou, Wang, Haiman, Li, Jian, Zhao, Mengya, Zhou, Xiao, Shi, Xianqing, Ye, Baning, Liu, Manli, Wu, Jing, Fu, Yongjian, Long, Dali, Pan, Yu, Wang, Jinlong, Mei, Huaxian, Zhang, Songsong, Wen, Mingxiang, Yang, Enyu, Mu, Sijie, Li, Jianquan, Hu, Tingting, Qin, Bingyu, Li, Min, Wang, Cunzhen, Dong, Xin, Wang, Kaiwu, Wang, Haibo, Yang, Jianxu, Du, Bin, Wang, Chuanyao, Wang, Dongxin, Li, Nan, Yu, Zhui, Xu, Song, Yao, Lan, Hou, Guo, Liu, Zhou, Lu, Liping, Lian, Yingtao, Wang, Chunting, Zhang, Jichen, Ding, Ruiqi, Qi, Guoqing, Wang, Qizhi, Wang, Peng, Meng, Zhaoli, Chen, Man, Hu, Xiaobo, He, Xiandi, Zhao, Shibing, Hang, Lele, Li, Rui, Qin, Suhui, Lu, Kun, Dun, Shijuan, Liu, Cheng, Zhou, Qi, Chen, Zhenzhen, Mei, Jing, Zhang, Minwei, Xu, Hao, Lin, Jincan, Shi, Qindong, Fu, Lijuan, Zeng, Qinjing, Ma, Hongye, Yan, Jinqi, Gao, Lan, Liu, Hongjuan, Zhang, Lei, Li, Hao, He, Xiaona, Fan, Jingqun, Guo, Litao, Liu, Yu, Wang, Xue, Sun, Jingjing, Liu, Zhongmin, Yang, Juan, Ding, Lili, Sheng, Lulu, Liu, Xingang, Yan, Jie, Wang, Quihui, Wang, Yifeng, Zhao, Dan, Zhao, Shuangping, Hu, Chenghuan, Li, Jing, Deng, Fuxing, Qiu, Haibo, Yang, Yi, Mo, Min, Pan, Chun, Wu, Changde, Huang, Yingzi, Huang, Lili, Liu, Airan, Pettilä, Ville, Vaara, Suvi T., Korhonen, Anna-Maija, Törnblom, Sanna, Sutinen, Sari, Pettilä, Leena, Heinonen, Jonna, Lappi, Eliria, Suhonen, Taria, Karlsson, Sari, Hoppu, Sanna, Jalkanen, Ville, Kuitunen, Anne, Levoranta, Markus, Långsjö, Jaakko, Ristimäki, Sanna, Malila, Kaisa, Wootten, Anna, Varila, Simo, Järvisalo, Mikko J, Inkinen, Outi, Kentala, Satu, Leivo, Keijo, Haltia, Paivi, Dreyfuss, Didier, Ricard, Jean-Damien, Messika, Jonathan, Tiagarajah, Abirami, Emery, Malo, Dechanet, Aline, Gernez, Coralie, Roux, Damien, Martin-Lefevre, Laurent, Fiancette, Maud, Vinatier, Isabelle, Claude Lacherade, Jean, Colin, Gwenhaël, Lebert, Christine, Azais, Marie-Ange, Yehia, Aihem, Pouplet, Caroline, Henry- Lagarrigue, Matthieu, Seguin, Amélie, Crosby, Laura, Maizel, Julien, Titeca-Beauport, Dimitri, Combes, Alain, Nieszkowska, Ania, Masi, Paul, Demoule, Alexandre, Mayaux, Julien, Dres, Martin, Morawiec, Elise, Decalvele, Maxens, Demiri, Suela, Faure, Morgane, Marios, Clémence, Mallet, Maxime, Amélie Ordon, Marie, Morizot, Laura, Cantien, Marie, Pousset, François, Gaudry, Stéphane, Poirson, Florent, Cohen, Yves, Argaud, Laurent, Cour, Martin, Bitker, Laurent, Simon, Marie, Hernu, Romain, Baudry, Thomas, De La Salle, Sylvie, Robine, Adrien, Sedillot, Nicholas, Tchenio, Xavier, Bouisse, Camille, Roux, Sylvie, Barbar, Davide, Trusson, Rémi, Tamion, Fabienne, Grangé, Steven, Carpentier, Dorothée, Chevrel, Guillaume, Ensenyat-Martin, Luis, Marque, Sophie, Quenot, Jean-Pierre, Andreu, Pascal, Dargent, Auguste, Large, Audrey, Chudeau, Nicolas, Landais, Mickael, Derrien, Benoit, Christophe Callahan, Jean, Guitton, Christophe, Le Moal, Charlène, Robert, Alain, Asehnoune, Karim, Cinotti, Raphaël, Grillot, Nicolas, Demeure, Dominique, Vinsonneau, Christophe, Rahmani, Imen, Marzouk, Mehdi, Dekeyser, Thibault, Sejourne, Caroline, Verlay, Mélanie, Thevenin, Fabienne, Delecolle, Lucie, Didier Thevenin, Lens, Souweine, Bertrand, Coupez, Elisabeth, Adda, Mireille, Eraldi, Jean-Pierre, Marchalot, Antoine, De Prost, Nicolas, Mekontso Dessap, Armand, Razazi, Keyvan, Meziani, Ferhat, Boisrame-Helms, Julie, Clere-Jehl, Raphael, Delabranche, Xavier, Kummerlen, Christine, Merdji, Hamid, Monnier, Alexandra, Rabouel, Yannick, Rahmani, Hassene, Allam, Hayat, Chenaf, Samir, Franja, Vincenta, Pons, Bertrand, Carles, Michel, Martino, Frédéric, Richard, Régine, Zuber, Benjamin, Lacave, Guillaume, Lakhal, Karim, Rozec, Bertrand, Dang Van, Hoa, Boulet, Éric, Dubos, René, Fadel, Fouad, Cleophax, Cedric, Dufour, Nicolas, Grant, Caroline, Thuong, Marie, Reignier, Jean, Canet, Emmanuel, Nicolet, Laurent, Boulain, Thierry, Nay, Mai-Anh, Benzekri, Dalila, Barbier, François, Bretagnol, Anne, Kamel, Toufik, Mathonnet, Armelle, Muller, Grégoire, Skarzynski, Marie, Rossi, Julie, Pradet, Amandine, Dos Santos, Sandra, Guery, Aurore, Muller, Lucie, Felix, Luis, Bohé, Julien, Thiéry, Guillaume, Aissaoui, Nadia, Vimpere, Damien, Commeureuc, Morgane, Diehl, Jean-Luc, Guerot, Emmanuel, Liangos, Orfeas, Wittig, Monika, Zarbock, Alexander, Küllmar, Mira, van Waegeningh, Thomas, Rosenow, Nadine, Nichol, Alistair D., Brickell, Kathy, Doran, Peter, Murray, Patrick T., Landoni, Giovanni, Lembo, Rosalba, Zangrillo, Alberto, Monti, Giacomo, Tozzi, Margherita, Marzaroli, Matteo, Lombardi, Gaetano, Paternoster, Gianluca, Vitiello, Michelangelo, McGuinness, Shay, Parke, Rachael, Butler, Magdalena, Gilder, Eileen, Cowdrey, Keri-Anne, Wallace, Samantha, Hallion, Jane, Woolett, Melissa, Neal, Philippa, Duffy, Karina, Long, Stephanie, McArthur, Colin, Simmonds, Catherine, Chen, Yan, McConnochie, Rachael, Newby, Lynette, Knight, David, Henderson, Seton, Mehrtens, Jan, Morgan, Stacey, Morris, Anna, Vander Hayden, Kymbalee, Burke, Tara, Bailey, Matthew, Freebairn, Ross, Chadwick, Lesley, Park, Penelope, Rolls, Christine, Thomas, Liz, Buehner, Ulrike, Williams, Erin, Albrett, Jonathan, Kirkham, Simon, Jackson, Carolyn, Browne, Troy, Goodson, Jennifer, Jackson, David, Houghton, James, Callender, Owen, Higson, Vicki, Keet, Owen, Dominy, Clive, Young, Paul, Hunt, Anna, Judd, Harriet, Lawrence, Cassie, Olatunji, Shaanti, Robertson, Yvonne, Latimer-Bell, Charlotte, Hendry, Deborah, Mckay-Vucago, Agnes, Beehre, Nina, Lesona, Eden, Navarra, Leanlove, Robinson, Chelsea, Jang, Ryan, Junge, Andrea, Lambert, Bridget, Schneider, Antoine G., Thibault, Michel, Eckert, Philippe, Kissling, Sébastien, Polychronopoulos, Erietta, Poli, Elettra, Altarelli, Marco, Schnorf, Madeleine, Abed Mallaird, Samia, Heidegger, Claudia, Perret, Aurelie, Montillier, Philippe, Sangla, Frederic, Neils, Seigenthaller, De Watteville, Aude, Phull, Mandeep-Kaur, George, Aparna, Hussain, Nauman, Pogreban, Tatiana, Lobaz, Steve, Daniels, Alison, Cunningham, Mishell, Kerr, Deborah, Nicholson, Alice, Shanmugasundaram, Pradeep, Abrams, Judith, Manso, Katarina, Hambrook, Geraldine, McKerrow, Elizabeth, Salva, Juvy, Foulkes, Stephen, Wise, Matthew, Morgan, Matt, Brooks, Jenny, Cole, Jade, Michelle Davies, Tracy, Hill, Helen, Thomas, Emma, Vizcaychipi, Marcela, Baharlo, Behrad, Carungcong, Jaime, Costa, Patricia, Martins, Laura, Kapoor, Ritoo, Hazelton, Tracy, Moon, Angela, Musselwhite, Janine, Shelley, Ben, McCall, Philip, Ostermann, Marlies, Arbane, Gill, Bociek, Aneta, Marotti, Martina, Lim, Rosario, Campos, Sara, Grau Novellas, Neus, Cennamo, Armando, Slack, Andrew, Wyncoll, Duncan, Camporota, Luigi, Sparkes, Simon, Tilley, Rosalinde, Rattray, Austin, Moreland, Gayle, Duffy, Jane, McGonigal, Elizabeth, Hopkins, Philip, Finney, Clare, Smith, John, Noble, Harriet, Watson, Hayley, Harris, Claire-Louise, Clarey, Emma, Corcoran, Eleanor, Beck, James, Howcroft, Clare, Youngs, Nora, Wilby, Elizabeth, Ogg, Bethan, Wolverson, Adam, Lee, Sandra, Butler, Susie, Okubanjo, Maryanne, Hindle, Julia, Welters, Ingeborg, Williams, Karen, Johnson, Emily, Patrick-Heselton, Julie, Shaw, David, Waugh, Victoria, Stewart, Richard, Mwaura, Esther, Wren, Lynn, Mew, Louise, Sutherland, Sara-Beth, Adderley, Jane, Ruddy, Jim, Harkins, Margaret, Kaye, Callum, Scott, Teresa, Mitchell, Wendy, Anderson, Felicity, Willox, Fiona, Jagannathan, Vijay, Clark, Michele, Purv, Sarah, Sharman, Andrew, Meredith, Megan, Ryan, Lucy, Conner, Louise, Peters, Cecilia, Harvey, Dan, Roshdy, Ashraf, Collins, Amy, Sim, Malcolm, Henderson, Steven, Chee, Nigel, Pitts, Sally, Bowman, Katie, Dilawershah, Maria, Vamplew, Luke, Howe, Elizabeth, Rogers, Paula, Hernandez, Clara, Prendergast, Clara, Benton, Jane, Rosenberg, Alex, Forni, Lui G., Grant, Alice, Carvelli, Paula, Raithatha, Ajay, Bird, Sarah, Richardson, Max, Needham, Matthew, Hirst, Claire, Ball, Jonathan, Leaver, Susannah, Howlett, Luisa, Castro Delgado, Carlos, Farnell-Ward, Sarah, Farrah, Helen, Gray, Geraldine, Joseph, Gipsy, Robinson, Francesca, Tridente, Ascanio, Harrop, Clare, Shuker, Karen, McLaughlan, Derek, Ramsey, Judith, Meehan, Sharon, Oliver Rose, Bernd, Reece-Anthony, Rosie, Gurung, Babita, Whitehouse, Tony, Snelson, Catherine, Veenith, Tonny, Johnston, Andy, Cooper, Lauren, Carrera, Ron, Ellis, Karen, Fellows, Emma, Harkett, Samanth, Bergin, Colin, Spruce, Elaine, Despy, Liesl, Goundry, Stephanie, Dooley, Natalie, Mason, Tracy, Clark, Amy, Dignam, Gemma, Ward, Geraldine, Attwood, Ben, Parsons, Penny, Mason, Sophie, Margarson, Michael, Lord, Jenny, McGlone, Philip, Hodgson, Luke E., Chadbourn, Indra, Gomez, Raquel, Margalef, Jordi, Pretorius, Rinus, Hamshere, Alexandra, Carter, Joseph, Cahill, Hazel, Grainger, Lia, Howard, Kate, Forshaw, Greg, Guy, Zoe, Kashani, Kianoush B., Albright, Robert C., Amsbaugh, Amy, Stoltenberg, Anita, Niven, Alexander S., Lynch, Matthew, O’Mara, AnnMarie, Naeem, Syed, Sharif, Sairah, McKenney Goulart, Joyce, Lynch, Matthew, O’Mara, AnnMarie, Naeem, Syed, Sharif, Sairah, McKenney Goulart, Joyce, Tolwani, Ashita, Lyas, Claretha, Latta, Laura, Bihorac, Azra, Hashemighouchani, Haleh, Efron, Philip, Ruppert, Matthew, Cupka, Julie, Kiley, Sean, Carson, Joshua, White, Peggy, Omalay, George, Brown, Sherry, Velez, Laura, Marceron, Alina, Neyra, Javier A., Carlos Aycinena, Juan, Elias, Madona, Ortiz-Soriano, Victor M., Hauschild, Caroline, and Dorfman, Robert

Published
2024
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23. One-year Outcomes after Discharge from Noncardiac Surgery and Association between Predischarge Complications and Death after Discharge: Analysis of the VISION Prospective Cohort Study

Author

Roshanov, Pavel S., Chan, Matthew T. V., Borges, Flavia K., Conen, David, Wang, C. Y., Xavier, Denis, Berwanger, Otavio, Marcucci, Maura, Sessler, Daniel I., Szczeklik, Wojciech, Spence, Jessica, Alonso-Coello, Pablo, Fernández, Carmen, Pearse, Rupert M., Malaga, German, Garg, Amit X., Srinathan, Sadeesh K., Jacka, Michael J., Tandon, Vikas, McGillion, Michael, Popova, Ekaterine, Sigamani, Alben, Abraham, Valsa, Biccard, Bruce M., Villar, Juan Carlos, Chow, Clara K., Polanczyk, Carísi A., Tiboni, Maria, Whitlock, Richard, Ackland, Gareth L., Panju, Mohamed, Lamy, André, Sapsford, Robert, Williams, Colin, Wu, William Ka Kei, Cortés, Olga L., MacNeil, S. Danielle, Patel, Ameen, Belley-Côté, Emilie P., Ofori, Sandra, McIntyre, William F., Leong, Darryl P., Heels-Ansdell, Diane, Gregus, Krysten, and Devereaux, P. J.

Published
2024
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24. Effect of sonication time on synthesis of MoS2 nanosheets.

Author

Anju and Garg, Amit

Subjects
*MINIATURE electronic equipment, *SCANNING electron microscopy, *WEARABLE technology, *TRANSITION metals, *ULTRAVIOLET-visible spectroscopy
Abstract

MoS2 is a kind of transition metal dichalcogenide (TMD) that has a single atom of molybdenum bonded to a pair of sulfur atoms. Through its unique and diverse superior properties, it has challenged the supremacy of graphene and related 2D materials and thus has emerged as a front runner in the development of miniaturization and wearable electronics for various applications. In the present work, MoS2 nanosheets have been synthesized from the bulk MoS2 powder through exfoliation using bath ultrasonication for two different times viz. 1 hour and 2 hours in ethanol and deionized (DI) water. It results into formation of multilayer MoS2 nanosheets/nanoflakes. The results are corroborated by XRD, UV-Vis spectroscopy, DLS measurements and Scanning Electron microscopy (SEM) and are discussed to explain average layer numbers as well as size/thickness of MoS2 nanosheets. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Exposure-Response and Subgroup Analyses to Support Body Weight-Based Dosing of Brentuximab Vedotin in Children and Young Adults with Newly Diagnosed High-Risk Classical Hodgkin Lymphoma

Author

Zhang, Zufei, primary, Zhang, Daping, additional, Guo, Wenchuan, additional, Fenton, Keenan, additional, Narayanan, Sujata, additional, Jain, Shweta, additional, Jiang, Joy, additional, Castellino, Sharon M., additional, Kelly, Kara M., additional, Cole, Peter D., additional, Keller, Frank G., additional, Garg, Amit, additional, and Chia, Yen Lin, additional

Published
2024
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33. Discrepancies in hidradenitis suppurativa lesion characterization by providers and patients

Author

Greenlund, Lindsey, primary, Herzog, Claire, additional, Wendland, Zachary, additional, Rypka, Katelyn, additional, Frew, John W., additional, Kirby, Joslyn S., additional, Alavi, Afsaneh, additional, Khalid, Bisma, additional, Lowes, Michelle A., additional, Garg, Amit, additional, Marzano, Angelo V., additional, Zouboulis, Christos C., additional, Tzellos, Thrasyvoulos, additional, Jaleel, Tarannum, additional, and Goldfarb, Noah, additional

Published
2024
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36. Association of Blood Mitochondrial DNA Copy Number With Risk of Acute Kidney Injury After Cardiac Surgery

Author

Jotwani, Vasantha, primary, Thiessen-Philbrook, Heather, additional, Arking, Dan E., additional, Yang, Stephanie Y., additional, McArthur, Eric, additional, Garg, Amit X., additional, Katz, Ronit, additional, Tranah, Gregory J., additional, Ix, Joachim H., additional, Cummings, Steve, additional, Waikar, Sushrut S., additional, Sarnak, Mark J., additional, Shlipak, Michael G., additional, Parikh, Samir M., additional, and Parikh, Chirag R., additional

Published
2024
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37. Incidence of anxiety disorder in adults with hidradenitis suppurativa.

Author

Cohn, Erica, Palma, Gabriela, Mastacouris, Nicole, Strunk, Andrew, and Garg, Amit

Subjects
GENERALIZED anxiety disorder, EMERGENCY room visits, PHOBIAS, ELECTRONIC health records, PANIC disorders, ANXIETY disorders
Abstract

Background There are limited data on the risk of new-onset anxiety disorders in patients with hidradenitis suppurativa (HS). Objectives To compare the risk of new-onset anxiety disorder in patients with HS and controls, and to describe risk factors for the development of anxiety in patients with HS. Methods We carried out a retrospective cohort analysis of a US electronic health records database between 2011 and 2020. Adults newly diagnosed with HS at a dermatology or primary care visit and control participants were included. The primary outcome was a new diagnosis of generalized anxiety disorder, phobic disorders, panic disorder or unspecified anxiety. Cox proportional hazards regression was used to compare the crude risk of any anxiety disorder between groups and to assess the independent association with HS while controlling for potential demographic, clinical and healthcare-related confounders. Results Among 9597 patients with HS and 959 493 controls, the incidence rate (IR) of anxiety was 5.74 and 3.86 per 100 person-years (PY), respectively. The crude risk among all patients was 48% higher for those with HS vs. controls [hazard ratio (HR) 1.48, 95% confidence interval (CI) 1.40–1.55]. When stratified by index encounter type, patients with HS had 2.43 (95% CI 2.13–2.77) times the risk of anxiety disorder than dermatology controls and 1.46 (95%CI 1.38–1.55) times the risk than primary care controls. The adjusted HR for patients with HS vs. controls was 1.11 (95% CI 1.05–1.17) overall, 1.26 (95% CI 1.07–1.48) in the dermatology subgroup and 1.07 (95% CI 1.01–1.13) in the primary care subgroup. Risk factors for an incident anxiety diagnosis among patients with HS included depression (HR 1.69, 95% CI 1.48–1.93), female sex (HR 1.41, 95% CI 1.23–1.60), younger age (HR 0.87 per 10-year increase, 95% CI 0.84–0.90), White race, in the Medicaid insurance programme (HR 1.22, 95% CI 1.07–1.40), tobacco smoking (HR 1.16, 95% CI 1.03–1.31) and having one or more emergency department visits in the year before a HS diagnosis. Absolute IRs of anxiety disorders were highest among patients with HS who were aged 18–29 years (7.10 per 100 PY), female (6.34 per 100 PY) and White (6.79 per 100 PY). Conclusions HS is independently associated with an increased risk of anxiety disorders. An increased risk remains but is attenuated when confounders are controlled for. The relative risk may be particularly high in patients managed by dermatologists. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Time‐varying brentuximab vedotin pharmacokinetics and weight‐based dosing in paediatric patients despite lower exposure in those aged 2 to <6 and 6–11 years.

Author

Zhang, Daping, Zhang, Zufei, Lee, Anthony, Fenton, Keenan, Jain, Shweta, Garg, Amit, and Chia, Yen Lin

Subjects
PEDIATRIC pharmacology, CLINICAL pharmacology, PHARMACOKINETICS, PERIPHERAL neuropathy, BODY weight
Abstract

Aims: We studied the pharmacokinetics and exposure–response relationships of the brentuximab vedotin (BV) antibody–drug conjugate (ADC) and unconjugated monomethyl auristatin E in haematologic malignancies. Methods: This population pharmacokinetic analysis included data from five adult and three paediatric studies. Exposures in virtual adult and paediatric populations following BV 1.8 mg/kg (maximum 180 mg) intravenously every 3 weeks were simulated. Clinical endpoints included overall response rate, grade ≥2 peripheral neuropathy (PN) and grade ≥3 neutropenia. Results: BV ADC exhibited linear pharmacokinetics, well‐described by a three‐compartment model, with body weight being the only significant covariate for exposure. Monomethyl auristatin E exhibited time‐varying formation rate. Simulated steady‐state BV ADC exposures in patients aged 12 to <18 years were similar to those of adult patients, but 23%–38% lower in patients aged 2 to <12 years. Despite lower exposure, clinical activity was observed with BV 1.8 mg/kg every 3 weeks in those aged 2 to <12 years (overall response rate: 2 to <12 years, 60%; 12 to <18 years, 43%). In adult, but not paediatric patients, increased BV ADC exposures were associated with grade ≥2 PN and grade ≥3 neutropenia occurrence. Conclusions: BV pharmacokinetics in adult and paediatric patients were consistent. BV ADC exposures were lower in patients aged 2 to <12 years vs. ≥12 years, but no apparent clinically relevant differences in efficacy, grade ≥2 PN or grade ≥3 neutropenia were observed. These data support body weight‐based dosing of BV in patients irrespective of age; thus, dose adjustment in those 2 to <12 years does not appear warranted. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Hypertension and Kidney Function After Living Kidney Donation.

Author

Garg, Amit X., Arnold, Jennifer B., Cuerden, Meaghan S., Dipchand, Christine, Feldman, Liane S., Gill, John S., Karpinski, Martin, Klarenbach, Scott, Knoll, Greg, Lok, Charmaine E., Miller, Matthew, Monroy-Cuadros, Mauricio, Nguan, Christopher, Prasad, G. V. Ramesh, Sontrop, Jessica M., Storsley, Leroy, and Boudville, Neil

Subjects
*KIDNEY physiology, *KIDNEY exchange, *DIASTOLIC blood pressure, *KIDNEY transplantation, *HYPERTENSION, *SYSTOLIC blood pressure, *BLOOD pressure
Abstract

Key Points: Question: Do normotensive living kidney donors, compared with nondonors, have a higher risk of hypertension in the first 7 years following donation? Findings: In this 17-center prospective cohort study that included 924 living kidney donors and 396 nondonors, there were no significant between-group differences in the risk of hypertension and no significant between-group differences in mean blood pressure or the change in blood pressure during a median follow-up of 7.3 years. Meaning: After accounting for differences in baseline risk, living donors had a similar risk of hypertension as nondonors in the 7 years following donation and no significant difference in mean blood pressure. Importance: Recent guidelines call for better evidence on health outcomes after living kidney donation. Objective: To determine the risk of hypertension in normotensive adults who donated a kidney compared with nondonors of similar baseline health. Their rates of estimated glomerular filtration rate (eGFR) decline and risk of albuminuria were also compared. Design, Setting, and Participants: Prospective cohort study of 924 standard-criteria living kidney donors enrolled before surgery and a concurrent sample of 396 nondonors. Recruitment occurred from 2004 to 2014 from 17 transplant centers (12 in Canada and 5 in Australia); follow-up occurred until November 2021. Donors and nondonors had the same annual schedule of follow-up assessments. Inverse probability of treatment weighting on a propensity score was used to balance donors and nondonors on baseline characteristics. Exposure: Living kidney donation. Main Outcomes and Measures: Hypertension (systolic blood pressure [SBP] ≥140 mm Hg, diastolic blood pressure [DBP] ≥90 mm Hg, or antihypertensive medication), annualized change in eGFR (starting 12 months after donation/simulated donation date in nondonors), and albuminuria (albumin to creatinine ratio ≥3 mg/mmol [≥30 mg/g]). Results: Among the 924 donors, 66% were female; they had a mean age of 47 years and a mean eGFR of 100 mL/min/1.73 m2. Donors were more likely than nondonors to have a family history of kidney failure (464/922 [50%] vs 89/394 [23%], respectively). After statistical weighting, the sample of nondonors increased to 928 and baseline characteristics were similar between the 2 groups. During a median follow-up of 7.3 years (IQR, 6.0-9.0), in weighted analysis, hypertension occurred in 161 of 924 donors (17%) and 158 of 928 nondonors (17%) (weighted hazard ratio, 1.11 [95% CI, 0.75-1.66]). The longitudinal change in mean blood pressure was similar in donors and nondonors. After the initial drop in donors' eGFR after nephrectomy (mean, 32 mL/min/1.73 m2), donors had a 1.4-mL/min/1.73 m2 (95% CI, 1.2-1.5) per year lesser decline in eGFR than nondonors. However, more donors than nondonors had an eGFR between 30 and 60 mL/min/1.73 m2 at least once in follow-up (438/924 [47%] vs 49/928 [5%]). Albuminuria occurred in 132 of 905 donors (15%) and 95 of 904 nondonors (11%) (weighted hazard ratio, 1.46 [95% CI, 0.97-2.21]); the weighted between-group difference in the albumin to creatinine ratio was 1.02 (95% CI, 0.88-1.19). Conclusions and Relevance: In this cohort study of living kidney donors and nondonors with the same follow-up schedule, the risks of hypertension and albuminuria were not significantly different. After the initial drop in eGFR from nephrectomy, donors had a slower mean rate of eGFR decline than nondonors but were more likely to have an eGFR between 30 and 60 mL/min/1.73 m2 at least once in follow-up. Trial Registration: ClinicalTrials.gov Identifier: NCT00936078 This cohort study aims to determine the risk of hypertension in normotensive adults who donated a kidney compared with nondonors of similar baseline health. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Mental health and addiction service utilization among people living with chronic kidney disease.

Author

Bhasin, Arrti A, Molnar, Amber O, McArthur, Eric, Nash, Danielle M, Busse, Jason W, Cooper, Rebecca, Heale, Esti, Ip, Jane, Pang, Jocelyn, Blake, Peter G, Garg, Amit X, Kurdyak, Paul, Kim, S Joseph, Sultan, Heebah, and Walsh, Michael

Subjects
MENTAL health services, CHRONIC kidney failure, MENTAL illness, HEMODIALYSIS facilities, GLOMERULAR filtration rate
Abstract

Background Mental health problems, particularly anxiety and depression, are common in patients with chronic kidney disease (CKD) and negatively impact quality of life, treatment adherence and mortality. However, the degree to which mental health and addiction services are utilized by those with CKD is unknown. We examined the history of mental health and addiction service use of individuals across levels of kidney function. Methods We performed a population-based cross-sectional study using linked healthcare databases from Ontario, Canada from 2009 to 2017. We abstracted the prevalence of individuals with mental health and addiction service use within the previous 3 years across levels of kidney function [estimated glomerular filtration rate (eGFR) ≥60, 45 to <60, 30 to <45, 15 to <30, <15 ml/min/1.73 m2 and maintenance dialysis]. We calculated prevalence ratios (PRs) to compare prevalence across kidney function strata, while adjusting for age, sex, year of cohort entry, urban versus rural location, area-level marginalization and Charlson comorbidity index. Results Of 5 956 589 adults, 9% (n  = 534 605) had an eGFR <60 ml/min/1.73 m2 or were receiving maintenance dialysis. Fewer individuals with an eGFR <60 ml/min/1.73 m2 had a history of any mental health and addiction service utilization (crude prevalence range 28–31%) compared with individuals with an eGFR ≥60 ml/min/1.73 m2 (35%). Compared with an eGFR ≥60 ml/min/1.73 m2, the lowest prevalence of individuals with any mental health and addiction service utilization was among those with an eGFR of 15 to <30 ml/min/1.73 m2 {adjusted PR 0.86 [95% confidence interval (CI) 0.85 to 0.88]}, an eGFR <15 ml/min/1.73 m2 [adjusted PR 0.81 (95% CI 0.76–0.86)] and those receiving maintenance dialysis [adjusted PR 0.83 (95% CI 0.81–0.84)]. Less use of outpatient services accounted for differences in service utilization. Conclusions Mental health and addiction service utilization is common but less so in individuals with advanced CKD in Ontario, Canada. [ABSTRACT FROM AUTHOR]

Published
2024
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41. Executive summary of the American Radium Society appropriate use criteria for brain metastases in epidermal growth factor receptor mutated-mutated and ALK-fusion non-small cell lung cancer.

Author

Nagpal, Seema, Milano, Michael T, Chiang, Veronica L, Soltys, Scott G, Brackett, Alexandria, Halasz, Lia M, Garg, Amit K, Sahgal, Arjun, Ahluwalia, Manmeet S, Tom, Martin C, Palmer, Joshua D, Knisley, Jonathan P S, Chao, Samuel T, Gephart, Melanie Hayden, Wang, Tony J C, Lo, Simon S, and Chang, Eric L

Published
2024
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42. Thirty‐day risk of digoxin toxicity among older adults co‐prescribed trimethoprim‐sulfamethoxazole versus amoxicillin: A population‐based cohort study.

Author

Muanda, Flory T., Weir, Matthew A., Ahmadi, Fatemeh, McArthur, Eric, Sontrop, Jessica M., Abdullah, Sheikh S., Urquhart, Brad L., Sadeghi, Hasti, Kim, Richard B., and Garg, Amit X.

Subjects
DIGOXIN, OLDER people, EMERGENCY room visits, AMOXICILLIN, ANTIBIOTICS, COHORT analysis, BETA lactam antibiotics
Abstract

Importance: Trimethoprim‐sulfamethoxazole (TMP‐SMX) may increase digoxin concentration, a medication with a narrow therapeutic index. Small changes in digoxin concentration could predispose individuals to the risk of toxicity. Objective: To characterize the risk of digoxin toxicity in older adults taking digoxin following co‐prescription of TMP‐SMX compared with co‐prescription of amoxicillin. Design, Settings, and Participants: Retrospective population‐based cohort study in Ontario, Canada (2002–2020) using linked health care data. Participants comprised 47,961 older adults taking digoxin (58% women; median age 80 years [interquartile range 74–86]) who were newly treated with TMP‐SMX (n = 10,273) compared with those newly treated with amoxicillin (n = 37,688). Exposure: Co‐prescription of TMP‐SMX versus amoxicillin in older adults concurrently taking digoxin. Main Outcome and Measure: The primary outcome was a hospital encounter (i.e., hospital admission or emergency department visit) with digoxin toxicity within 30 days of the antibiotic prescription. Inverse probability of treatment weighting on the propensity score was used to balance comparison groups on indicators of baseline health. Weighted risk ratios (RR) were obtained using modified Poisson regression and weighted risk differences (RD) using binomial regression. The number needed to harm (NNH) was calculated as 1/RD. Results: A hospital encounter with digoxin toxicity occurred in 49/10,273 (0.48%) patients treated with TMP‐SMX versus 32/37,688 (0.08%) in those treated with amoxicillin (weighted RR, 5.71 [95% confidence interval (CI), 3.19 to 10.24]; weighted RD, 0.39% [95% CI, 0.25% to 0.53%]; NNH 256 [95% CI, 233 to 400]). Conclusion and Relevance: In older adults taking digoxin, the 30‐day risk of a hospital encounter with digoxin toxicity was nearly 6 times higher in those co‐prescribed TMP‐SMX versus amoxicillin, although the absolute risk difference was low (0.4%). Physicians should prescribe an alternative antibiotic when clinically appropriate. If TMP‐SMX must be co‐prescribed with digoxin (if the benefit is believed to outweigh the risk), digoxin should be dose‐reduced on an individual basis. [ABSTRACT FROM AUTHOR]

Published
2024
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43. An accounting framework for implementing India's NDCs and reporting the capacity building needs in the context of the Paris rulebook.

Author

Prusty, Debasish, Garg, Amit, Solanki, Umesh, and Maheshwari, Jyoti

Subjects
ACCOUNTING methods, CLIMATE change mitigation, INVENTORY accounting, NATIONAL account systems, ACCOUNTING, COUNTRIES, DEVELOPING countries
Abstract

The purpose of this paper is to suggest an accounting framework for India for implementation of its nationally determined contributions (NDCs) and design the appropriate modality for reporting its capacity building needs and priorities in a manner that is in consonance with the provisions of the Paris Rule book from the perspective of a developing country. The suggested accounting methodology considers India's national greenhouse gas (GHG) inventory and climate mitigation policies. The Key Category Analysis concept of the Intergovernmental Panel on Climate Change for accounting GHG inventory estimation at the national level is used to identify and rank the key inventory categories for India. Accounting of various national level mitigation policies is undertaken by assessing their impact on the key categories, subsequently recognizing 'Key Policies' in accordance with the provisions of the Paris rulebook. 'Key Policies' are found to have a definite role in driving the progress of implementation of NDCs. The study recommends a modality that developing countries can use to report their needs for capacity building support for full implementation of their 'key policies' while accounting their future NDCs, using the flexibilities provided under the Paris Rule book. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Effect of High-Dose Subcutaneous Spesolimab on Skin Manifestations: Results from the Pivotal Effisayil 2 Trial of Flare Prevention in Generalized Pustular Psoriasis

Author

Strober, Bruce, primary, Augustin, Matthias, additional, Tada, Yayoi, additional, Garg, Amit, additional, Jullien, Denis, additional, Gottlieb, Alice, additional, Gudjonsson, Johann, additional, Hu, Na, additional, Hofmann, Patrick, additional, Thoma, Christian, additional, and Marzano, Angelo, additional

Published
2024
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48. The Global Hidradenitis Suppurativa Atlas (GHiSA) Methodology: Combining Global Proportions in a Pooled Analysis

Author

Bouazzi, Dorra, primary, Andersen, Rune Kjærsgaard, additional, Vinding, Gabrielle R., additional, Medianfar, Cecilia E., additional, Nielsen, Sabrina Mai, additional, Saunte, Ditte M. L., additional, Chandran, Nisha S., additional, van der Zee, Hessel H., additional, Zouboulis, Christos C., additional, Benhadou, Farida, additional, Villumsen, Bente, additional, Alavi, Afsaneh, additional, Ibekwe, Perpetua U., additional, Hamzavi, Iltefat H., additional, Ingram, John R., additional, Naik, Haley B., additional, Garg, Amit, additional, Boer, Jurr, additional, Christensen, Robin, additional, and Jemec, Gregor B.E., additional

Published
2024
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49. Effect of Intradialytic Exercise on Cardiovascular Outcomes in Maintenance Hemodialysis: A Systematic Review and Meta-Analysis

Author

Verrelli, Davide, primary, Sharma, Ajaya, additional, Alexiuk, Jamie, additional, Tays, Quinn, additional, Rossum, Krista, additional, Sharma, Monica, additional, Ford, Emilie, additional, Iansavichene, Alla, additional, Al-Jaishi, Ahmed A., additional, Whitlock, Reid, additional, McIntyre, Christopher W., additional, Garg, Amit X., additional, and Bohm, Clara, additional

Published
2024
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50. Patient Characteristics and Comorbidities Among US Veterans With Chronic Spontaneous Urticaria (CSU): Data From the Veterans Health Administration (VHA)

Author

Sun, Lillian, primary, Danilov, Peter, additional, Agiri, Fatai, additional, Pridgen, Kathryn, additional, DuVall, Scott, additional, Marshall, Gailen, additional, Kennedy, Eleanor, additional, Kelly, Caoimhe, additional, Rodrigues, Jonathan, additional, Post, Ashley, additional, Patil, Dhaval, additional, Cai, Jennifer, additional, Chow, Wing, additional, Garg, Amit, additional, Lynch, Julie, additional, and Baron, Elma, additional

Published
2024
Full Text
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