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Acalabrutinib Plus Bendamustine-Rituximab in Untreated Mantle Cell Lymphoma
Wang, Michael , Song, Yuqin, Jurczak, Wojciech, Kahl, Brad S. , Chu, Michael P., Kryachok, Iryna, Fogliatto, Laura, Cheah, Chan Y. , Morawska, Marta , Li, Yufu, Patti, Caterina , Forsyth, Cecily , Lesley, Robin, Ramadan, Safaa, Rule, Simon, Dreyling, Martin , investigators, for the ECHO, Cazap, Nicolás, Foncuberta, María Cecilia, Garate, Gonzalo, Gustavo, Jarchum, Pavlovsky, Miguel Arturo , Riveros, Dardo, Baker, Ross, Butler, Jason, Cannell, Paul , Cheah, Chan, Forsyth, Cecily, Giri, Pratyush, Johnston, Amanda, Lee, Denise , Lee, Hui‐Peng, Mapp, Sally, Roncolato, Fernando , Thant, Aung , Walker, Patricia, Doo, Nicole Wong, Demuynck, Hilde, Offner, Fritz , Hende, Vanessa Van, Vergote, Vibeke, Wu, Ka Lung , Chiattone, Carlos, Azevedo, Sergio de, Fogliatto, Laura, Fonseca, Ana, Hamerschlak, Nelson, Lazaretti, Nicolas, Rocha, Vanderson, Salvino, Marco, Santucci, Rodrigo, Schaan, Mariza, Scheliga, Adriana, Vieira, Garles Miller, Berinstein, Neil, Boutin, Mélina , Chu, Michael, Keating, Mary‐Margaret, Schattner, Ariah, Restrepo, Diego Villa, Cen, Xinan, Du, Xin, Feng, Ru, Gao, Sujun, Huang, Haiwen, Ji, Jie, Jin, Jie, Ke, Xiaoyan, Li, Dengju, Li, Fei, Li, Jianyong, Li, Junmin, Li, Yan, Li, Yufu, Li, Zhenyu, Lin, Li'e, Liu, Tingbo, Lv, Fangfang , Shuang, Yuerong, Sun, Lan, Sun, Xiuhua, Wang, Zhao, Wu, Huijing, Xi, Yaming, Xia, Ruixiang, Xue, Hongwei, Yang, Haiyan, Yi, Shuhua, Zhang, Cheng, Zhang, Huilai, Zhang, Mingzhi, Zhang, Qingyuan, Zhao, Xielan, Zhou, Hui, Hajek, Roman, Jindra, Pavel , Mayer, Jiri, Novak, Jan, Abraham, Julie, Bijou, Fontanet, Bouabdallah, Kamal , Cymbalista, Florence, Guilbert, Sophie, Laribi, Kamel, Rodon, Philippe, Decker, Thomas, Dreger, Peter, Dreyling, Martin, Hess, Georg, Lenz, Georg, Stilgenbauer, Stephan, Tummes, Dirk, Anargyrou, Konstantinos , Dimopoulos, Meletios-Athanassios, Kapsali, Eleni, Kyriakou, Despoina, Panayiotidis, Panayiotis, Pappa, Vasiliki , Stavroyianni, Niki, Cheng, Hoi Ching, Kwong, Yok-Lam, Lee, Harold, Ng, Ting Ying, Wong, Raymond, Borbényi, Zita , Illés, Árpád, Lázár, Zsolt, Nagy, Ágnes , Nagy, Zsolt, Schneider, Tamas, Avivi, Irit, Gurion, Ronit, Horowitz, Netanel, Ronson, Aaron, Arcaini, Luca, Boccomini, Carola, Ghia, Paolo, Luminari, Stefano, Plenteda, Caterina, Santoro, Armando, Zilioli, Vittorio Ruggero, Zinzani, Pier Luigi, Choi, Ilseung , Ennishi, Daisuke , Ichikawa, Satoshi, Ishikawa, Takayuki, Izutsu, Koji, Kato, Koji, Maruyama, Dai, Nagai, Hirokazu, Ota, Shuichi, Saito, Toko, Sakai, Rika, Suzuki, Ritsuro, Uoshima, Nobuhiko , Yano, Takahiro, Yoshida, Isao, Eom, Ki-Seong, Kim, Jin Seok, Kim, Seok Jin, Lee, Jung-Hee, Mun, Yeung Chul, Yoon, Sung Soo , Arreguin, Elsa Veronica Avila, Andrade, Adriana Dominguez, Almaguer, David Gómez, Vera, Maria Silvia Rivas, Anaya, Luis Solís, Berkahn, Leanne, Pemberton, Lucy, Simpson, David, Beltrán, Brady, Quintana, Shirely, Revilla, Jose Carlos, Vargas, Ernesto, Grosicki, Sebastian , Hałka, Janusz , Jedrzejczak, Wieslaw, Knopińska-Posłuszny, Wanda, Krzanowski, Jacek, Lech-Maranda, Ewa, Robak, Tadeusz, Rzepecki, Piotr , Wróbel, Tomasz, Borsaru, Gabriela, Ciuleanu, Tudor Eliade, Danaı̈la, Catalin, Lazaroiu, Mihaela, Alexeeva, Julia, Chistyakov, Valeriy, Manikhas, Georgy, Mikhailova, Natalia, Proydakov, Andrey, Volodicheva, Elena , Voloshin, Sergey, Bastos, Mariana, Cordoba, Raul, Codina, José , Gonzalez, Eva Maria, Marin, Ana, Panizo, Carlos, Rodriguez, Guillermo, Salar, Antonio, Sancho, Juan-Manuel, Velo, Jose A, Chiu, Chang-Fang, Hsiao, Liang-Tsai, Kuo, Ching-Yuan, Lin, Tung-Liang, Lysa, Tamila, Maslyak, Zvenyslava, Nogaieva, Larysa, Polenkov, Sergey, Usenko, Ganna, Agajanian, Richie, Anz, Bertrand, Chaudhry, Arvind, Chiu, Alden , Cultrera, Jennifer, D’Olimpio, James, Dunleavy, Kieron, Fanning, Suzanne, Flinn, Ian, Gabrail, Nashat, Gallinson, David, Goldenberg, Alec, Graf, Solomon, Grover, N., Hess, Brian, Hoffman, Marc, Isufi, Iris, Kahl, Brad, Kambhampati, Suman , Kirkel, Dean, Diaz, Guillermo Lazo, Levy, Moshe, Liu, Delong, Mead, Monica , Paludo, Jonas, Patel, Anjan, Peles, Shachar, Persky, Daniel, Portell, Craig, Rosenthal, Allison, Sano, Dahlia , Smith, Sonali , Smith, Stephen, Spurgeon, Stephen, Tache, Jason, Tsai, Michaela, Veltri, Lauren, Wang, Michael, Yimer, Habte, Bach, Quoc Khanh, Đỗ, Huyền Nga, Luu, Hung Vu, Khoa, Trọng, Phạm, Như Hiệp, Panizo, Carlos , Kriachok, Iryna , Kahl, Brad S , Paludo, Jonas , Cheah, Chan Yoon , Morawska, Marta , Sancho, Juan-Manuel , Forsyth, Cecily , Dreyling, Martin , Belada, David , Song, Yuqin , Paludo, Jonas , Fogliatto, Laura , Zhang, Jingyang , Lesley, Robin, Ramadan, Safaa Mahmoud , Garate, Gonzalo, Riveros, Dardo Alberto, Cannell, Paul , Cochrane, Tara , Giri, Pratyush, Mapp, Sally , Doo, Nicole Wong , Demuynck, H, Hende, Vanessa Van, Vergote, Vibeke K. J. , CHIATTONE, CARLOS SÉRGIO , Farias, João Samuel de Holanda , Fonseca, Ana Rita Da , Rocha, Vanderson , Oliveira, José Salvador Rodrigues de , Scheinberg, Phillip , Scheliga, Adriana , Vieira, Garles Miller Matias , Berinstein, Neil Lorne , Shuang, Yuerong , Hájek, Roman , Mayer, Jiřı́ , Bijou, Fontanet , Cymbalista, Florence, Delwail, Vincent , Genet, Philippe , Dreger, Peter , Heß, Georg , Lenz, Georg , Stilgenbauer, Stephan , Kapsali, Eleni , Katodritou, Eirini , Kyriakou, Despoina S, Panayiotidis, Panayiotis G. , Symeonidis, Argiris , Schneider, Tamas J., Avivi, Irit, Gurion, Ronit , Horowitz, Netanel A. , Arcaini, Luca , Boccomini, Carola , Luminari, Stefano , Santoro, Armando, Zilioli, Vittorio Ruggero , Zinzani, Pier Luigi , Fukushima, Kentaro , Izutsu, Koji , Maruyama, Dai , Tatetsu, Hiro , Kim, Sang‐A , Oh, Sung Yong , Arreguin, Elsa Ávila, Gómez‐Almaguer, David , Issa, Samar , Revilla, Jose C., Vargas, Ernesto, Lech-Maranda, Ewa, Robak, Tadeusz , Borsaru, Gabriela, Ciuleanu, Tudor–Eliade , Danaila, Catalin-Doru , Alexeeva, Julia, Briones, Javier , Salar, Antonio , Yuste, Victor Jimenez, Chen, Chien‐Yuan , Kuo, Ching‐Yuan, Anz, Bertrand, Cultrera, Jennifer L. , D’Olimpio, James, Dunleavy, Kieron , Gabrail, Nashat , Gallinson, David, Goldenberg, Alec S., Goy, Andre Henri , Graf, Solomon A. , Hess, Brian, Kirkel, Dean, Portell, Craig A. , Rosenthal, Allison , Stevens, Don, Veltri, Lauren Westfall , Yimer, Habte, Tran, Thanh Tung

Journal of Clinical Oncology | May 1, 2025 | Volume: 43 | Issue: 20 | Pages: 2276-2284

10.1200/jco-25-00690 | PMID 40311141 Get It

PURPOSE The combination of the Bruton tyrosine kinase inhibitor ibrutinib with bendamustine-rituximab for first-line treatment of mantle cell lymphoma (MCL) prolonged progression-free survival (PFS), but without improvement in overall survival (OS), likely because of toxicity. Acalabrutinib was shown to be efficacious and less toxic than ibrutinib in a head-to-head trial in chronic lymphocytic leukemia and therefore might lead to better outcomes in MCL. METHODS Patients 65 years and older with previously untreated MCL received acalabrutinib (100 mg twice daily) or placebo (until disease progression or unacceptable toxicity), plus six cycles of bendamustine (90 mg/m 2 once daily; days 1 and 2) and rituximab (375 mg/m 2 as a single dose; day 1) followed by rituximab maintenance in responding patients for 2 years. Crossover to acalabrutinib at disease progression was permitted. The primary end point was PFS per the independent review committee; overall response rate and OS were secondary end points. RESULTS In total, 598 patients were randomly assigned, with 299 in each arm. At a median follow-up of 49.8 months using the reverse Kaplan-Meier method, the median PFS was 66.4 months in the acalabrutinib arm and 49.6 months in the placebo arm (hazard ratio [HR], 0.73 [95% CI, 0.57 to 0.94]; P = .0160). Benefit was seen across all subgroups, including those with high-risk features. Overall response/complete response rates were 91.0%/66.6% and 88.0%/53.5% in the acalabrutinib and placebo arms, respectively. OS was not significantly different (HR, 0.86 [95% CI, 0.65 to 1.13]; P = .27). Grade 3 or greater adverse events were reported in 88.9% and 88.2% in the acalabrutinib and placebo arms, respectively. CONCLUSION The combination of acalabrutinib with bendamustine-rituximab significantly improved PFS. Clinical benefit of acalabrutinib with bendamustine-rituximab was achieved with manageable toxicity.
Abstract LB183: Enhancing GBM therapy with tumor-targeted nanoparticles
Kang, Hyung‐Gyoo, Upton, Bryon, Nagy, Jon O. , Sarkaria, Jann N.

Cancer Research | April 25, 2025 | Volume: 85 | Issue: 8_Supplement_2 | Pages: LB183-LB183

10.1158/1538-7445.am2025-lb183 Get It

Abstract Glioblastoma Multiforme (GBM) is a highly aggressive malignant brain tumor. Despite decades of research, the tumor is essentially incurable, primarily due to the failure of small molecule drugs to pass the blood-brain barrier (BBB). This molecular "pump" within the brain's blood vessel linings restricts effective drug delivery to the tumor. To address this challenge, we have developed an antibody targeted nanoparticle therapeutic platform, NV103. NV103 employs liposomal nanoparticles with tumor antigen targeted antibodies specifically engineered to deliver otherwise ineffective drugs like irinotecan directly to tumor. GBMs are heterogeneous, characterized by diverse genomic profiles and tumor antigen expression patterns. EGFR is a well-known example. Here we identified a novel GBM tumor antigen, CD99. CD99 is not a commonly recognized GBM biomarker, but we find that GBMs consistently express CD99. We evaluated nearly 100 GBM PDXs in the Mayo Clinic repository and found that nearly all express CD99. We then evaluated NV103's efficacy across multiple GBM tumors with varying levels of CD99 cell surface expression. Importantly, NV103 demonstrated exceptional BBB penetration in an in vitro transwell system utilizing brain endothelial cells derived from human stem cells. NV103 also exhibits prolonged plasma persistence with detectable levels present at 24 hours, compared to free drug which is undetectable within hours. This prolonged drug availability combined with the ability to penetrate the BBB and preferentially bind to tumor cells results in dramatically enhanced anti-GBM activity. In GBM mouse studies, NV103 and its payload exhibited at least 5-fold enhanced delivery to tumor vs. brain. In preclinical animal studies, NV103 extended the survival of orthotopically implanted human PDX glioblastoma (GBMPDX43)-bearing mice by at least three-fold compared to free-drug treatments. We also showed that NV103 effectively induces cytotoxicity across a broad spectrum of CD99-expressing GBMs. NV103 showed significantly enhanced anti-tumor activity, even in low CD99-expressing tumors, such as GBMPDX43. Moreover, dose-response trends in GBM-bearing animals suggest that escalating doses of CD99-targeted nanoparticles could further improve survival outcomes. This targeted approach minimizes drug exposure to normal tissues, including brain. We found no dose limiting toxicity at 50mg/kg, five times higher than the 10mg/kg used for most of the tumor bearing animal studies. These findings underscore NV103's potential to effectively target heterogeneous GBMs, including those with variable CD99 expression levels, not unlike HER2-low tumors treated with HER2-directed ADCs. Further, preclinical data suggest that NV103 dose escalation will amplify its therapeutic impact, positioning this platform as a potential groundbreaking approach to overcome treatment resistant GBM. Citation Format: HyungGyoo Kang, Bryon Upton, Jon Nagy, Jann N. Sarkaria, Timothy J. Triche. Enhancing GBM therapy with tumor-targeted nanoparticles [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr LB183.
Semaglutide and Nonarteritic Anterior Ischemic Optic Neuropathy
Cai, Cindy X. , Hribar, Michelle R. , Swaminathan, Swarup S. , Flowers, Alexis , Brown, Eric N. , Chen, John J. , Chen, Aiyin , Wang, Sophia Y. , Ehrlich, Joshua R. , Armbrust, Karen R. , Alshammari, Thamir , Swerdel, Joel N. , Suchard, Marc A. , Falconer, Thomas , DuVall, Scott L. , Viernes, Benjamin , O’Brien, William J. , Martin, Benjamin , Westlund, Erik , Mathioudakis, Nestoras , Fan, Ruochong, Stocking, Jacqueline C. , Takkouche, Sahar , Humes, Izabelle, McCoy, David , Adibuzzaman, Mohammad, Areaux, Raymond G. , Rojas‐Carabali, William , Brash, James T., Lee, David A. , Mawn, Louise A. , Agrawal, Rupesh, Morgan‐Cooper, Hannah, Desai, Priya , Ryan, Patrick , Barkmeier, Andrew, Chen, John J , Mathioudakis, Nestoras N , Stocking, Jacqueline C , Lee, Cecilia S , Baxter, Sally L. , Goetz, Kerry , Toy, Brian C. , Xu, Benjamin Yixing , Leng, Theodore , Barkmeier, Andrew J. , Boland, Michael V. , Dorr, David A , Boyce, Danielle M. , Schuemie, Martijn J. , Bu, Fan , Sena, Anthony G. , Hripcsak, George , Nishimura, Akihiko, Nagy, Paul G. , Matheny, Michael E. , Zhang, Linying , Martin, Benjamin, Fan, Ruochong, Wilcox, Adam B , Lai, Albert M. , Lee, Lok Hin , Xie, Yangyiran , Weiskopf, Nicole G. , Desai, Priya

JAMA Ophthalmology | February 20, 2025 | Volume: 143 | Issue: 4 | Pages: 304

10.1001/jamaophthalmol.2024.6555 | PMID 39976940 Get It

Importance Semaglutide, a glucagonlike peptide-1 receptor agonist (GLP-1RA), has recently been implicated in cases of nonarteritic anterior ischemic optic neuropathy (NAION), raising safety concerns in the treatment of type 2 diabetes (T2D). Objective To investigate the potential association between semaglutide and NAION in the Observational Health Data Sciences and Informatics (OHDSI) network. Design, Setting, and Participants This was a retrospective study across 14 databases (6 administrative claims and 8 electronic health records). Included were adults with T2D taking semaglutide, other GLP-1RA (dulaglutide, exenatide), or non–GLP-1RA medications (empagliflozin, sitagliptin, glipizide) from December 1, 2017, to December 31, 2023. The incidence proportion and rate of NAION were calculated. Association between semaglutide and NAION was assessed using 2 approaches: an active-comparator cohort design comparing new users of semaglutide with those taking other GLP-1RAs and non–GLP-1RA drugs, and a self-controlled case-series (SCCS) analysis to compare individuals’ risks during exposure and nonexposure periods for each drug. The cohort design used propensity score–adjusted Cox proportional hazards models to estimate hazard ratios (HRs). The SCCS used conditional Poisson regression models to estimate incidence rate ratios (IRRs). Network-wide HR and IRR estimates were generated using a random-effects meta-analysis model. Exposures GLP-1RA and non–GLP-1RAs. Main Outcomes and Measures NAION under 2 alternative definitions based on diagnosis codes: one more inclusive and sensitive, the other more restrictive and specific. Results The study included 37.1 million individuals with T2D, including 810 390 new semaglutide users. Of the 43 620 new users of semaglutide in the Optum’s deidentified Clinformatics Data Mart Database, 24 473 (56%) were aged 50 to 69 years, and 26 699 (61%) were female. The incidence rate of NAION was 14.5 per 100 000 person-years among semaglutide users. The HR for NAION among new users of semaglutide was not different compared with that of the non–GLP-1RAs using the sensitive NAION definition—empagliflozin (HR, 1.44; 95% CI, 0.78-2.68; P = .12), sitagliptin (HR, 1.30; 95% CI, 0.56-3.01; P = .27), and glipizide (HR, 1.23; 95% CI, 0.66-2.28; P = .25). The risk was higher only compared with patients taking empagliflozin (HR, 2.27; 95% CI, 1.16-4.46; P = .02) using the specific definition. SCCS analysis of semaglutide exposure showed an increased risk of NAION (meta-analysis IRR, 1.32; 95% CI, 1.14-1.54; P < .001). Conclusions and Relevance Results of this study suggest a modest increase in the risk of NAION among individuals with T2D associated with semaglutide use, smaller than that previously reported, and warranting further investigation into the clinical implications of this association.
NETosis in Cardiovascular Disease: An Opportunity for Personalized Antithrombotic Treatments?
Baaten, Constance C. F. M. J. , Nagy, Magdolna , Spronk, Henri M.H. , Cate, Hugo Ten , Kietselaer, Bas , Ten Cate, Hugo , Kietselaer, Bas L J H

Arteriosclerosis, Thrombosis, and Vascular Biology | November 27, 2024 | Volume: 44 | Issue: 12 | Pages: 2366-2370

10.1161/atvbaha.124.320150 | PMID 39602504 Get It

Benefit-risk assessment based on number needed to treat and number needed to harm: Atogepant vs. calcitonin gene–related peptide monoclonal antibodies
Lalla, Anjana, Kelton, Kari , Piron, Cristiano, Gandhi, Pranav , Pozo‐Rosich, Patricia , Piron, Cristiano , Gandhi, Pranav , Pozo-Rosich, Patricia , Ailani, Jessica , Lalla, Anjana, Singh, Rashmi B. Halker , Holle, Dagny , Nagy, Krisztian

Cephalalgia | November 19, 2024 | Volume: 44 | Issue: 11 | Pages: No page available

10.1177/03331024241299377 | PMID 39558612 Get It

Background To evaluate the benefit-risk assessment of atogepant and calcitonin gene–related peptide (CGRP) monoclonal antibodies (mAbs) vs. placebo based on the number needed to treat (NNT) and the number needed to harm (NNH) in a blended episodic migraine and chronic migraine (EM + CM) population. Methods The NNT was calculated based on achievement of a ≥ 50% reduction in mean monthly migraine days (MMDs) from baseline across 12 weeks. The NNH was calculated using the proportion of participants reporting a discontinuation due to adverse events (AEs). The primary analysis included data from studies of atogepant, erenumab, galcanezumab, eptinezumab and fremanezumab. Results In the primary analysis, the calculated NNT for atogepant 60 mg vs. placebo was 4.2 (95% credible interval (CrI) = 3.1–6.7), which was the lowest relative to the CGRP mAbs in the blended EM + CM population. Participants who received atogepant 60 mg or fremanezumab showed the most favorable NNH values (−1010 (95% Crl = 44 to ∞ to number needed to benefit 80) for atogepant) resulting from lower rates of discontinuation due to AEs compared with those receiving placebo. Conclusions Atogepant demonstrated a favorable benefit-risk profile, with NNT and NNH values comparable (not statistically significant) with those of CGRP mAbs across all analyses.
The impact of multimorbidity on Quality of Life in inflammatory myopathies: A cluster analysis from the COVAD dataset
Fornaro, Marco , Venerito, Vincenzo , Pellico, Maria Rosa , Iannone, Florenzo , Joshi, Mrudula , Chen, Yi‐Ming , Tan, Ai Lyn , Saha, Sreoshy , Chatterjee, Tulika , Agarwal, Vishwesh , Kadam, Esha , Hasan, A T M Tanveer , Shumnalieva, Russka , Milchert, Marcin , Tan, Chou Luan , Vaidya, Binit , Kuwana, Masataka , Shaharir, Syahrul Sazliyana , Tehozol, Erick Adrian Zamora , Gutiérrez, Carlos Enrique Toro , Goo, Phonpen Akawatcharangura , Katchamart, Wanruchada , Parodis, Ioannis , Nikiphorou, Elena , Chinoy, Hector , Agarwal, Vikas , Gupta, Latika, Group, CoVAD Study, Sen, Parikshit, Javaid, Mahnoor, Andreoli, Laura, Lini, Daniele, Schreiber, Karen, Nune, Arvind, Tan, Ai Lyn, Patel, Aarat, Pauling, John D, Wincup, Chris, Barman, Bhupen, Torre, Ignacio García-De La, Colunga-Pedraza, Iris J, Merayo-Chalico, Javier, Chibuzo, Okwara Celestine, Kibbi, Lina El, Lilleker, James B, Salim, Babur, Gheita, Tamer, Saavedra, Miguel A, Griger, Zoltán, Kardes, Sinan, Vince, Melinda Nagy, Singh, Yogesh Preet, Ranjan, Rajiv, Jain, Avinash, Pandya, Sapan C, Pilania, Rakesh Kumar, Sharma, Aman, M, Manesh Manoj, Gupta, Vikas, Kavadichanda, Chengappa G, Patro, Pradeepta Sekhar, Ajmani, Sajal, Phatak, Sanat, Goswami, Rudra Prosad, Chowdhury, Abhra Chandra, Mathew, Ashish Jacob, Shenoy, Padnamabha, Asranna, Ajay, Bommakanti, Keerthi Talari, Shukla, Anuj, Pande, Arunkumar R, Chandwar, Kunal, Ghodke, Akanksha, Boro, Hiya, Fazal, Zoha Zahid, Vaidya, Binit, Cansu, Döndü Üsküdar, Yıldırım, Reşit, Gasparyan, Armen Yuri, Papa, Nicoletta Del, Sambataro, Gianluca, Fabiola, Atzeni, Govoni, Marcello, Parisi, Simone, Bocci, Elena Bartoloni, Sebastiani, Gian Domenico, Fusaro, Enrico, Sebastiani, Marco, Quartuccio, Luca, Franceschini, Franco, Sainaghi, Pier Paolo, Orsolini, Giovanni, Angelis, Rossella De, Danieli, Maria Giovanna, Grignaschi, Silvia, Giollo, Alessandro, Alunno, Alessia, Traboco, Lisa S, Wibowo, Suryo Anggoro Kusumo, Loarce-Martos, Jesús, Prieto-González, Sergio, Gonzalez, Raquel Aranega, Yoshida, Akira, Nakashima, Ran, Sato, Shinji, Kimura, Naoki, Kaneko, Yuko, Gono, Takahisa, Tomaras, Stylianos, Proft, Fabian Nikolai, Holzer, Marie-Therese, Gromova, Margarita Aleksandrovna, Aharonov, Or, Griger, Zoltán, Hmamouchi, Ihsane, bouchti, Imane El, Baba, Zineb, Giannini, Margherita, Maurier, François, Campagne, Julien, Meyer, Alain, Langguth, Daman, Limaye, Vidya, Needham, Merrilee, Srivastav, Nilesh, Hudson, Marie, Landon-Cardinal, Océane, Zuleta, Wilmer Gerardo Rojas, Arbeláez, Álvaro, Cajas, Javier, Silva, José António Pereira, Fonseca, João Eurico, Zimba, Olena, Ima-Edomwonyi, Uyi, Dedeke, Ibukunoluwa, Airenakho, Emorinken, Madu, Nwankwo Henry, Yerima, Abubakar, Olaosebikan, Hakeem, Becky, A, Koussougbo, Oruma Devi, Palalane, Elisa, So, Ho, Ugarte-Gil, Manuel Francisco, Chinchay, Lyn, Bernaola, José Proaño, Pimentel, Victorio, Fathi, Hanan Mohammed, Mohammed, Reem Hamdy A, Harifi, Ghita, Fuentes-Silva, Yurilís, Cabriza, Karoll, Losanto, Jonathan, Colaman, Nelly, Cachafeiro-Vilar, Antonio, Bautista, Generoso Guerra, Ho, Enrique Julio Giraldo, González, Raúl, Nunez, Lilith Stange, M, Cristian Vergara, Báez, Jossiell Then, Alonzo, Hugo, Pastelin, Carlos Benito Santiago, Salinas, Rodrigo García, Obiols, Alejandro Quiñónez, Chávez, Nilmo, Ordóñez, Andrea Bran, Argueta, Sandra, Llerena, Gil Alberto Reyes, Sierra-Zorita, Radames, Arrieta, Dina, Hidalgo, Eduardo Romero, Saenz, Ricardo, M, Idania Escalante, Morales, Roberto, Calapaqui, Wendy, Quezada, Ivonne, Arredondo, Gabriela, Pauling, John D , Wincup, Chris , Sambataro, Gianluca , Angelis, Rossella De , Loarce‐Martos, Jesus , Lini, Daniele , Fuentes-Silva, Yurilís , Giollo, Alessandro , Grignaschi, Silvia , Schreiber, Karen , Danieli, Maria Giovanna , Gupta, Latika , Shinjo, Samuel Katsuyuki , Hoff, Leonardo Santos , Kadam, Esha , Ziade, Nelly , Velikova, Tsvetelina , Hasan, A T M Tanveer , Shumnalieva, Russka , Milchert, Marcin , Tan, Chou Luan , Gracia-Ramos, Abraham Edgar , Cavagna, Lorenzo , Vaidya, Binit , Kuwana, Masataka , Sazliyana Shaharir, Syahrul , Knitza, Johannes , Makol, Ashima , Zamora Tehozol, Erick Adrian , Rojas Serrano, Jorge , Halabi, Hussein , Dey, Dzifa , Gutiérrez, Carlos Enrique Toro , Distler, Oliver , Katchamart, Wanruchada , Day, Jessica , Parodis, Ioannis , Nikiphorou, Elena , Chinoy, Hector , Agarwal, Vikas , Gupta, Latika , Joshi, Mrudula , Agarwal, Vishwesh , Tan, Ai Lyn , Chatterjee, Tulika , Pauling, John D , Wincup, Chris , Chen, Yi-Ming , Saha, Sreoshy , De Angelis, Rossella , Iannone, Florenzo , Shinjo, Samuel Katsuyuki , Ziadé, Nelly , Velikova, Tsvetelina , Gracia‐Ramos, Abraham Edgar , Makol, Ashima , Halabi, Hussein , Dey, Dzifa , Caballero‐Uribe, Carlo V. , Distler, Oliver , Day, Jessica , Group, CoVAD Study, Sen, Parikshit, Javaid, Mahnoor, Andreoli, Laura, Nune, Arvind, Tan, Ai Lyn, Patel, Aarat, Barman, Bhupen, Torre, Ignacio García-De La, Colunga-Pedraza, Iris J, Merayo-Chalico, Javier, Chibuzo, Okwara Celestine, Kibbi, Lina El, Lilleker, James B, Salim, Babur, Gheita, Tamer, Saavedra, Miguel A, Griger, Zoltán, Kardes, Sinan, Vince, Melinda Nagy, Singh, Yogesh Preet, Ranjan, Rajiv, Jain, Avinash, Pandya, Sapan C, Pilania, Rakesh Kumar, Sharma, Aman, M, Manesh Manoj, Gupta, Vikas, Kavadichanda, Chengappa G, Patro, Pradeepta Sekhar, Ajmani, Sajal, Phatak, Sanat, Goswami, Rudra Prosad, Chowdhury, Abhra Chandra, Mathew, Ashish Jacob, Shenoy, Padnamabha, Asranna, Ajay, Bommakanti, Keerthi Talari, Shukla, Anuj, Pande, Arunkumar R, Chandwar, Kunal, Ghodke, Akanksha, Boro, Hiya, Fazal, Zoha Zahid, Vaidya, Binit, Cansu, Döndü Üsküdar, Yıldırım, Reşit, Gasparyan, Armen Yuri, Papa, Nicoletta Del, Fabiola, Atzeni, Govoni, Marcello, Parisi, Simone, Bocci, Elena Bartoloni, Sebastiani, Gian Domenico, Fusaro, Enrico, Sebastiani, Marco, Quartuccio, Luca, Franceschini, Franco, Sainaghi, Pier Paolo, Orsolini, Giovanni, Alunno, Alessia, Traboco, Lisa S, Wibowo, Suryo Anggoro Kusumo, Prieto-González, Sergio, Gonzalez, Raquel Aranega, Yoshida, Akira, Nakashima, Ran, Sato, Shinji, Kimura, Naoki, Kaneko, Yuko, Gono, Takahisa, Tomaras, Stylianos, Proft, Fabian Nikolai, Holzer, Marie-Therese, Gromova, Margarita Aleksandrovna, Aharonov, Or, Griger, Zoltán, Hmamouchi, Ihsane, bouchti, Imane El, Baba, Zineb, Giannini, Margherita, Maurier, F. , Campagne, Julien, Meyer, Alain , Langguth, Daman, Limaye, Vidya, Needham, Merrilee, Srivastav, Nilesh, Hudson, Marie, Landon‐Cardinal, Océane , Zuleta, Wilmer Gerardo Rojas, Arbeláez, Álvaro, Cajas, Javier, Silva, José António Pereira, Fonseca, João Eurico, Zimba, Olena, Ima-Edomwonyi, Uyi, Dedeke, Ibukunoluwa, Airenakho, Emorinken, Madu, Nwankwo Henry, Yerima, Abubakar, Olaosebikan, Hakeem, Becky, A, Koussougbo, Oruma Devi, Palalane, Elisa, So, Ho, Ugarte-Gil, Manuel Francisco, Chinchay, Lyn, Bernaola, José Proaño, Pimentel, Victorio, Fathi, Hanan Mohammed, Mohammed, Reem Hamdy A, Harifi, Ghita, Cabriza, Karoll, Losanto, Jonathan, Colaman, Nelly, Cachafeiro-Vilar, Antonio, Bautista, Generoso Guerra, Ho, Enrique Julio Giraldo, González, Raúl, Nunez, Lilith Stange, M, Cristian Vergara, Báez, Jossiell Then, Alonzo, Hugo, Pastelin, Carlos Benito Santiago, Salinas, Rodrigo García, Obiols, Alejandro Quiñónez, Chávez, Nilmo, Ordóñez, Andrea Bran, Argueta, Sandra, Llerena, Gil Alberto Reyes, Sierra-Zorita, Radames, Arrieta, Dina, Hidalgo, Eduardo Romero, Saenz, Ricardo, M, Idania Escalante, Morales, Roberto, Calapaqui, Wendy, Quezada, Ivonne, Arredondo, Gabriela

Rheumatology | September 26, 2024 | Volume: 64 | Issue: 4 | Pages: 2133-2142

10.1093/rheumatology/keae520 | PMID 39324556 Get It

Abstract Objective The presence of comorbidities can substantially affect patients’ quality of life, but data regarding their impact on idiopathic inflammatory myopathies (IIMs) are limited. Methods We examined the prevalence of comorbidities in IIM patients, other autoimmune rheumatic diseases (oAIRDs) and healthy controls (HCs), using data from the self-reported COVAD-2 survey. We defined basic multimorbidity (BM) as the presence of ≥2 non-rheumatic chronic conditions and complex multimorbidity (CM) as the presence of ≥3 non-rheumatic chronic conditions affecting ≥3 organ systems. Hierarchical clustering on principal components was performed for grouping. Results Among the COVAD respondents, 1558 IIMs, 4591 oAIRDs and 3652 HCs were analysed. IIMs exhibited a high burden of comorbidities (odds ratio [OR]: 1.62 vs oAIRDs and 2.95 vs HCs, P < 0.01), BM (OR: 1.66 vs oAIRDs and 3.52 vs HCs, P < 0.01), CM (OR: 1.69 vs AIRDs and 6.23 vs HCs, P < 0.01) and mental health disorders (MHDs) (OR: 1.33 vs oAIRDs and 2.63 vs HCs, P < 0.01). Among the IIM patients, those with comorbidities or MHDs had lower PROMIS Global Physical (PGP), PROMIS Global Mental (PGM), and PROMIS Physical Function (SF10) scores, and higher fatigue (F4a) scores (all P < 0.001). PGP, PGM, SF10a and F4a were influenced by age, active disease, BM and MHDs. Four distinct clusters were identified among the IIMs according to comorbidities and PROMIS scores. Conclusion Patients with IIMs have a higher burden of comorbidities that influence physical and mental health, identifiable as clinical clusters for optimized and holistic management approaches.
Acute kidney injury in severe alcohol-associated hepatitis treated with anakinra plus zinc or prednisone
Patidar, Kavish R. , Tu, Wanzhu , Cotter, Thomas G. , Asgharpour, Amon , Jan, Muhammad Y. , Tang, Qing , Taiwo, Moyinoluwa, Nagesh, Prashanth Thevkar , Kamath, Patrick S. , Chalasani, Naga , Nagy, Laura E. , Shah, Vijay H. , Investigators, for The AlcHepNet, Vargas, Hugo E. , Duarte‐Rojo, Andrés , Simonetto, Douglas A , Thevkar Nagesh, Prashanth , Dasarathy, Srinivasan , Kamath, Patrick S , Szabo, Gyongyi , Mitchell, Mack , Mehal, Wajahat Z , Gawrieh, Samer , Sanyal, A J , Cotter, T G , Vargas, Hugo E , Duarte-Rojo, Andres , Patidar, Kavish R , Simonetto, Douglas A. , Yu, Yunpeng , Li, Yang , McClain, Craig J. , Bataller, Ramon A , Gawrieh, Samer , Sanyal, Arun J. , Investigators, for The AlcHepNet

Hepatology | July 19, 2024 | Volume: 81 | Issue: 4 | Pages: 1256-1268

10.1097/hep.0000000000001019 | PMID 39028887 Get It

Background and Aims: In a recent trial, patients with severe alcohol-associated hepatitis treated with anakinra plus zinc (A+Z) had lower survival and higher acute kidney injury (AKI) rates versus prednisone (PRED). We characterize the clinical factors and potential mechanisms associated with AKI development in that trial. Approach and Results: Data from 147 participants in a multicenter randomized clinical trial (74 A+Z, 73 PRED) were analyzed. AKI, AKI phenotypes, and kidney injury biomarkers were compared between participants who did/did not develop AKI in the 2 treatment arms. Multivariable competing risk analyses were performed to identify baseline risk factors for incident AKI, with death treated as a competing event. Risk factors considered were age, sex, mean arterial pressure, white blood cell count, albumin, MELD, ascites, HE, and treatment arm. At baseline, no participants had AKI; 33% (n=49) developed AKI during follow-up. AKI incidence was higher in A+Z than in PRED (45% [n=33] versus 22% [n=16], p=0.001). AKI phenotypes were similar between the 2 treatment arms (p=0.361), but peak AKI severity was greater in A+Z than PRED (stage 3 n=21 [63.6%] vs. n=8 [50.0%], p=0.035). At baseline, urine-neutrophil-gelatinase–associated lipocalin levels were similar between participants who developed AKI in both treatment arms (p=0.319). However, day 7 and 14 urine-neutrophil-gelatinase–associated lipocalin levels were significantly elevated in participants treated with A+Z who developed AKI versus participants treated with PRED who developed AKI (p=0.002 and 0.032, respectively). On multivariable competing risk analysis, only A+Z was independently associated with incident AKI (subdistribution hazard ratio 2.35, p=0.005). Conclusions: AKI occurred more frequently and was more severe in participants treated with A+Z. A+Z–treated participants with AKI had higher urine-neutrophil-gelatinase–associated lipocalin, suggesting that A+Z maybe nephrotoxic in patients with severe alcohol-associated hepatitis.
Mesangial Expansion by Morphometry at 5 y After Kidney Transplantation: Incidence, Risk Factors, and Association With Graft Loss
Đenić, Aleksandar , Buglioni, Alessia , Túrkevi-Nagy, Sándor , Mejia, Mateo Velasquez , Subramani, Rashmi , Kukla, Aleksandra , Diwan, Tayyab S. , Grande, Joseph P. , Denic, Aleksandar , Smith, Byron H. , Park, Walter D. , Stegall, Mark D.

Transplantation Direct | June 17, 2024 | Volume: 10 | Issue: 7 | Pages: e1652

10.1097/txd.0000000000001652 | PMID 38881746 Get It

Background. Mesangial expansion (ME) is an understudied histologic lesion in renal allografts. The current Banff mm score is not reproducible and may miss important ME features. The study aimed to improve the quantification of ME using morphometry, assess changes over time, and determine its association with allograft loss. Methods. We studied ME in 1-y and 5-y surveillance biopsies in 835 kidney transplants performed between January 2000 and December 2013. ME was assessed using the Banff mm score by a central pathologist and by morphometry. We derived 3 different morphometric measures: (1) %ME mm (%glomeruli with ME in ≥2 lobules, like Banff mm); (2) %MEany (%glomeruli with any ME lesion); and (3) %ME area (sum of all ME areas/all glomerular tuft areas). Unadjusted and adjusted Cox models assessed the risk of death-censored allograft loss. Results. From 1- to 5-y biopsies, the mean Banff mm score increased from 0.18 to 0.34, whereas %ME mm increased from 2.5% to 13.3%. Banff mm score had modest correlations with morphometric ME measures. Moderate-severe %ME mm was present in 20.1% of 5-y biopsies, whereas only 6.6% of Banff mm scores were. In general, higher ME on both 1- and 5-y biopsies was associated with a deceased donor, older recipient age, recipient diabetes/obesity (present in >50% of severely affected biopsies), higher hemoglobin A1c at 5 y posttransplant, and recurrent kidney disease. Higher ME on 5-y biopsies was associated with delayed graft function. A higher Banff mm score at 1-y biopsy and morphometry ME measures at 5-y biopsy were associated with rejection during the first year posttransplant. Morphometric ME measures were associated with allograft loss independent of Banff scores and all clinical characteristics, including kidney function and recurrent disease. The model with %MEany had the highest c-statistic (0.872). Conclusions. Banff mm score underestimates the pervasiveness of ME in 5-y biopsies. ME is common and associated with alloimmune and nonalloimmune causes of graft loss.
Risk of extended major adverse cardiovascular event endpoints with tofacitinib versus TNF inhibitors in patients with rheumatoid arthritis: a post hoc analysis of a phase 3b/4 randomised safety study
Buch, Maya H , Bhatt, Deepak L. , Charles‐Schoeman, Christina , Giles, Jon T. , Koch, Gary G., Ytterberg, Steven R. , Nagy, Edward, Jo, Hyejin, Connell, Carol A., Masri, Karim R. , Yndestad, Arne, Ytterberg, Steven, Masri, Karim Richard , Bhatt, Deepak L , Giles, Jon T , Mikuls, Ted R. , Kwok, Kenneth

RMD Open | April 12, 2024 | Volume: 10 | Issue: 2 | Pages: e003912

10.1136/rmdopen-2023-003912 | PMID 38609322 Get It

Objectives Compare the risk of extended major adverse cardiovascular (CV) event (MACE) composite outcomes and component events in patients with rheumatoid arthritis (RA) treated with tofacitinib versus tumour necrosis factor inhibitors (TNFi) in Oral Rheumatoid Arthritis Trial (ORAL) Surveillance. Methods Patients with RA aged ≥50 years and with ≥1 additional CV risk factor received tofacitinib 5 mg or 10 mg two times per day or TNFi. MACE (non-fatal myocardial infarction (MI), non-fatal stroke or CV death (MACE-3)) was extended by sequential addition of CV events (hospitalisation for unstable angina (MACE-4), coronary revascularisation (MACE-5), transient ischaemic attack (MACE-6), peripheral vascular disease (MACE-7)), heart failure (HF) hospitalisation (MACE-8) and venous thromboembolism (VTE; (MACE-8 plus VTE)). HRs (tofacitinib vs TNFi) were evaluated for MACE and individual components. Results HRs for MACE-4 to MACE-8 with combined and individual tofacitinib doses versus TNFi were similar. Risk of MACE-8 plus VTE appeared similar with tofacitinib 5 mg two times per day versus TNFi (HR 1.12 (0.82 to 1.52)), but higher with tofacitinib 10 mg two times per day versus TNFi (HR 1.38 (1.02 to 1.85)). Risk of MI was higher with tofacitinib versus TNFi, but difference in risk of other individual CV events was not suggested. Across extended MACE definitions, risk appeared higher with tofacitinib versus TNFi in those with atherosclerotic CV disease or age ≥65 years. Conclusion In ORAL Surveillance, risk of composite CV endpoints combining all ischaemic CV events and HF did not appear different with tofacitinib versus TNFi. The totality of CV risk was higher with tofacitinib 10 mg two times per day versus TNFi, driven by an increase in VTE. Trial registration number NCT02092467.
Benefit-Risk Assessment Based on Number Needed to Treat and Number Needed to Harm: Atogepant vs Calcitonin Gene–Related Peptide Monoclonal Antibodies (P5-12.007)
Lalla, Anjana, Holle-Lee, Dagney, Kelton, Kari , Piron, Cristiano, Gandhi, Pranav , Sacco, Simona , Lalla, Anjana, Singh, Rashmi B. Halker , Pozo‐Rosich, Patricia , Nagy, Krisztian, Ailani, Jessica

Neurology | April 9, 2024 | Volume: 102 | Issue: 7_supplement_1 | Pages: No page available

10.1212/wnl.0000000000204970 Get It