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Revision total elbow arthroplasty is associated with a high rate of 30-day complications: A descriptive analysis of a national database
El-Najjar, Dany , Gupta, Puneet , Peterson, Joel R. , Rogalski, Brandon L. , Levine, William N. , Gupta, Puneet , Marigi, Erick M. , El-Najjar, Dany B , Mehta, Apoorva , Trofa, David P , Jobin, Charles M.

Shoulder & Elbow | August 2, 2024 | Volume: 17 | Issue: 5 | Pages: 634-640

10.1177/17585732241269001 | PMID 39552697 Get It

Introduction Revision total elbow arthroplasty (TEA) is indicated for component loosening, periprosthetic joint infection, and fractures. Previous investigations into revision TEA complications have small sample sizes and limited exploration of acute complications. This study aims to characterize the 30-day complications and associated demographics of patients undergoing revision TEA using a large national database. Methods The 2015–2020 American College of Surgeons National Surgical Quality Improvement Program database was used to identify all revision TEA patients. Results The analysis included 158 patients (average age 62.6 years). The overall complication rate was 13.9% ( n = 22). The most common 30-day complications were organ/space surgical site infection (3.8%, n = 6), unplanned readmission (3.2%, n = 5), intraoperative or postoperative transfusion (3.2%, n = 5), and unplanned reoperation (1.9%, n = 3). Patients with a history of dyspnea or steroid/immunosuppressant use for a chronic condition had significantly higher rates of bleeding requiring transfusion ( p = .029 and p = .021, respectively). Additionally, patients aged 80 years or older had a significantly higher rate of unplanned readmission ( p = .032). Conclusion Revision TEA has a 13.9% rate of complications within 30-days of surgery, with most involving surgical site infection, unplanned readmission, and blood transfusion. Level of Evidence IV.
Oncology stewardship practice in the United States: A Hematology/Oncology Pharmacy Association national survey
Banez, Marisela Tan , Atienza, Sol , Butts, Allison R, Derba, Megan, Dicke, Katie, Haverstick, Kimberly, Heron, Bernadette B. , Cimino, Sarah K, Loop, Matthew Shane , Hough, Shannon , Merten, Julianna A., Taucher, Kate D, Zhang, J, Butts, Allison , Shah, Vishal , Mahmoudjafari, Zahra , Moore, Donald C. , Shah, Vishal

Journal of Oncology Pharmacy Practice | August 2, 2024 | Volume: 31 | Issue: 4 | Pages: 517-527

10.1177/10781552241265280 | PMID 39091073 Get It

Introduction The treatment of cancer is associated with high risk for toxicity and high cost. Strategies to enhance the value, quality, and safety of cancer care are often managed independently of one another. Oncology stewardship is a potential framework to unify these efforts and enhance outcomes. This landscape survey establishes baseline information on oncology stewardship in the United States. Methods The Hematology/Oncology Pharmacy Association (HOPA) distributed a 38-item survey composed of demographic, institutional, clinical decision-making, support staff, metrics, and technology sections to 675 HOPA members between 9 September 2022 and 9 October 2022. Results Most organizations (78%) have adopted general pharmacy stewardship practices; however, only 31% reported having established a formalized oncology stewardship team. More than 70% of respondents reported implementation of biosimilars, formulary management, and dose rounding as oncology stewardship initiatives in both inpatient and outpatient settings. Frequently cited barriers to oncology stewardship included lack of clinical pharmacist availability (74%), lack of oncology stewardship training (62%), lack of physician/provider buy-in (32%), and lack of cost-saving metrics (33%). Only 6.6% of survey respondents reported their organization had defined “value in oncology.” Lack of a formalized stewardship program was most often cited (77%) as the rationale for not defining value. Conclusions Less than one-third of respondents have established oncology stewardship programs; however, most are providing oncology stewardship practices. This manuscript serves as a call to action for stakeholders to work together to formalize oncology stewardship programs that optimize value, quality, and safety for patients with cancer.
Risankizumab for Ulcerative Colitis
Louis, Edouard, Panaccione, Remo, Biedermann, Luc , Colombel, Jean–Frédéric, D’Haens, Geert , Hisamatsu, Tadakazu , Siegmund, Britta , Boland, Brigid S. , Melmed, Gil , Armuzzi, Alessandro , Levine, Phillip, Kalabic, Jasmina , Cheng, Ling, Shu, Lei , Duan, W. Rachel, Pivorunas, Valerie , González, Yuri Sánchez , D’Cunha, Ronilda , Neimark, Ezequiel, Wallace, Kori, Ferrante, Marc , Group, INSPIRE and COMMAND Study, Balderramo, Domingo , Goncalves, Silvina A., Lasa, Juan, Novillo, Abel, Ruffinengo, Orlando, Heeren, Sonja, Reinisch, Walter , Baert, Filip , Colard, A, Ferrante, Marc, Franchimont, Denis , Rahier, Jean‐François , Francesconi, Carlos Fernando de Magalhães , Stanchev, Desislav , Atkinson, Kenneth, Beaton, Melanie, Greenbloom, Susan, Lachance, Jean-Rene, Lim, Allen, Samson, Jean-Michel, Shulman, Scott, Siffledeen, Jesse, Alfaro, Ignacio , Valenzuela, Carlos , Walsen, Gustavo, An, Ping , Cao, Qian , Chen, Yan , Gao, Xiang , Hou, Xiaohua , Hu, Naizhong, Liu, Mei , Lungen, LU, Ran, Zhihua, Tang, Tongyu , Yang, Shaoqi , Zhan, Qiang , Zhang, Guoxin , Zhang, Xiaolan , Zhong, Jie , Zou, Xiaoping, Álvarez, Eligio, Ricaurte, Juan, Borzan, Vladimir , Puljiz, Željko , Svoboda, Pavel , Ulbrych, Jan, Vaňásek, Tomáš , Ali, Ezzat, Salem, Osama , Sawah, Hisham, Altwegg, Romain , Flamant, Mathurin, Hébuterne, Xavier , Deppe, Herbert, Klaus, Jochen , Kucharzik, Torsten , Mertens, Jessica, Mroß, Michael, Reindl, Wolfgang , Schiefke, Ingolf, Schreiber, Stefan, Sturm, Andreas , Bamias, Georgios, Manolakopoulos, Spilios , Mantzaris, Gerassimos J. , Tzouvala, Maria , Viazis, N. , Avni‐Biron, Irit , Goldin, Eran , Katz, Lior H. , Lahat-Zok, Adi, Segal, Arik, Colecchia, Antonio , Cosintino, R. , Geccherle, Andrea, Monteleone, Giovanni , Privitera, Antonino Carlo , Vangeli, Marcello, Abe, Yasuhiko , Aoyama, Nobuo , Endo, Yutaka , Esaki, Motohiro, Fujii, Toshimitsu , Fukuda, Katsuyuki , Hirai, Fumihito , Hisanaga, Yasuhiro, Horiki, Noriyuki , Iguchi, Mikitaka , Ishiguro, Yoh , Ito, Hiroaki , Kamikozuru, Koji , Kato, Jun , Kawanishi, Teruki, Kobayashi, Taku , Kuge, Hiroyuki , Masuda, Tomoyuki, Matsuoka, Katsuyoshi , Matsushima, Kayoko , Matsushima, Masashi, Motoya, Satoshi , Nakai, Katsuhiko, Nakajima, Koichi, Nakamura, Masanao, Nishida, Atsushi , Nishikawa, Takahiro , Nishimata, Nobuaki, Ochiai, Toshiaki, Ohmiya, Naoki , Ohnishi, Yoshifumi , Oka, Shiro , Ozeki, Keiji , Saito, Daisuke, Saruta, Masayuki, Sasaki, Makoto, Shimizu, Masahito , Sujino, Tomohisa , Takatori, Hajime , Takatsu, Noritaka , Tokito, Satoki, Endo, Toshiyuki, Toyokawa, Tatsuya , Uenoyama, Yoshito , Yamamoto, Takatsugu, Yasuda, Hiroshi , Yokoyama, Kaoru , Jonaitis, Laimas, Kazėnaitė, Edita, Te, Lourdes Lol-be Pinzon, Lutgens, Maurice, Brooker, James, Griffiths, Ben, Inns, Stephen , Schultz, Michael, Eszyk, Jerzy, Kleczkowski, D, Kopoń, Adam, Petryka, Robert, Romańczyk, Tomasz , Rydzewska-Wyszkowska, Grażyna , Sikorski, Piotr, Talarek, Michał, Ministro, Paula , Tavares, Helena, Diculescu, Mihai-Mircea, Goldiș, Adrian , Agafina, Alina, Edin, Anton, Gerasimova, Evgenia, Gettueva, Maryana, Кашников, В. Н. , Pirmagomedov, Albert , Rafalskiy, Vladimir , Шарапова, К. М., Varganova, Daria L , Grgov, Saša, Svorcan, Petar , Tarabar, Dino, Ling, Khoon Lin , Baláž, Jozef, Ďurina, J, Greguš, Miloš, Laclav, Martin , Deetlefs, Eduan, Peter, Jonny , Rajabally, Muhammad, Rosa, Jennifer, Zyl, JI van, Wright, John , Jang, Byung Ik , Kang, Sang-Bum, Kim, Duk-Hwan , Kim, Tae Oh , Kim, Young-Ho , Song, Geun Am , Laria, Luisa Castro, Piudo, Ana Echarri, Ramirez, Vincent Hernandez, Martín‐Arranz, María Dolores , Trastoy, Pilar Varela, Mendoza, M Vera, Lördal, Mikael, Chang, Chung-Hsin, Kuo, Chia-Jung , Lin, Ching‐Pin , Tu, Chia–Hung, Erzın, Yusuf , Soykan, İrfan , Kravchenko, Tetiana , Tsarynna, Nataliia, Vyshyvanyuk, Vira , Cummings, Fraser , Kapur, Kapil , Kaser, Arthur , Kent, Alexandra , Parkes, Gareth, Patel, Kamal , Steel, Alan , Aberra, Faten , Aguilar, Humberto , Al‐Bawardy, Badr , Barnes, Matthew D., Beck, Kendall , Berkelhammer, Charles , Bullock, Jeff, Chiplunker, Adeeti , Dalal, Robin, Dalal, Sushila , Delgado, Belkis, DiGiovanna, Michael P., Duvall, George, Freedland, Curtis, Friedenberg, Keith, Gaidos, Jill , Ginsburg, Philip, Hassanein, Tarek , Higgins, Peter , Hou, Jason K. , Huilgol, Vivek, Inamdar, Nikhil, Kapur, Saurabh, Kerman, David H., Levine, Henry, Lodhia, Nilesh, Mayoral, Jaime L., McNeil, Donald, Mushahwar, Andria M., Ojeas, Harry, Patel, Bhaktasharan, Phillips, Raymond E. , Pouzar, Joe, Sarles, H, Schock, Joel, Sedghi, Shahriar , Shah, Nirav V. , Stokesberry, David, Su, Le‐Chu, Verma, Dharmendra, Weber, John T. , Younes, Ziad , Zisman, Timothy L. , Melmed, Gil Y , Kobayashi, Taku , Siegmund, Britta , Schreiber, Stefan , Bossuyt, Peter , Parkes, Gareth, Peyrin‐Biroulet, Laurent , Wu, Kaichun , Chen, Su , Atreya, Raja Narayana , Loftus, Edward V. , Group, INSPIRE and COMMAND Study, Reinisch, Walter , Dewit, Olivier , Franchimont, Denis , Kaiser, Roberto Luiz , Parra, Rogério Serafim , Sassaki, Lígia Yukie , Пенчев, Пламен , Bessissow, Talat , Lachance, Jean-René, Panaccione, Remo , Walsen, Gustavo, Chen, Youxiang , Li, Yan , Liu, Fei , Wang, Xin , Zhan, Qiang, Zhang, Hu , Zhang, Jie , Ricaurte, Juan, Krznarić, Željko , Bortlík, Martin , Svoboda, Pavel, Kjeldsen, Jens , Munck, Lars Kristian , Poulsen, Anja, Waked, Imam A. , Fumery, Mathurin , Laharie, David , Roblin, Xavier , Tréton, Xavier , Deppe, Herbert, Hasselblatt, Peter , Kandulski, Arne , Krause, Thomas , Naumann, Axel, Schreiber, Stefan , Schubert, Stefan, Κoutroubakis, Ioannis E. , Ardizzone, Sandro , Cicala, Michele , Gasbarrini, Antonio , Giannini, Edoardo Giovanni , Gionchetti, Paolo , Luzza, Francesco , Saibeni, Simone , Abe, Yasuhiko, Asonuma, Kunio , Hisanaga, Yasuhiro, Ishigami, Keisuke, Kakuta, Yoichi , Maemoto, Atsuo , Nakajima, Koichi, Nishida, Atsushi, Sasaki, Makoto, Sugimoto, Ken , Suzuki, Takayoshi , Takedatsu, Hidetoshi , Takeuchi, Ken, Tanaka, Hiroki , Tokito, Satoki, Yamamoto, Takayuki , Derovs, Aleksejs , Puķītis, Aldis , Jonaitis, Laimas Virginijus , Gearry, Richard B. , Griffiths, Ben, Kierkuś, Jarosław , Reguła, Jarosław , Cerqueira, Rute Maria , Goncalves, Tiago, Lopes, Susana , Portela, Francisco , Seicean, Andrada , Gerasimova, Evgenia, Sharapova, Ksenia, Smolyarchuk, Е. А. , Jovanović, Igor , Balaz, Jozef, Drobne, David , Wright, John, Cheon, Jae Hee , Kim, Jee Hyun , Lee, Jong Hun , Lee, Kang‐Moon , Park, Dong Il , Argüelles‐Arias, Federico , Piudo, Ana Echarri, García‐López, Santiago , Ramirez, V Hernández, Misselwitz, Benjamin , Chou, Jen‐Wei , Tu, Chia‐Hung , Alkım, Hüseyin , Kravchenko, Tetiana, Ahmad, Tariq, Parkes, Gareth, Speight, Richard, Ananthakrishnan, Ashwin N. , Barnes, Matthew, Bullock, Jeff, DiGiovanna, Michael, Hong, John D. , Huilgol, V.R., Phillips, Raymond, Siddiqui, Junaid, Swaminath, Arun C. , Weber, John, Matsuoka, K

JAMA | July 22, 2024 | Volume: 332 | Issue: 11 | Pages: 881

10.1001/jama.2024.12414 | PMID 39037800 Get It

Importance The clinical effects of risankizumab (a monoclonal antibody that selectively targets the p19 subunit of IL-23) for the treatment of ulcerative colitis are unknown. Objective To evaluate the efficacy and safety of risankizumab when administered as an induction and a maintenance therapy for patients with ulcerative colitis. Design, Setting, and Participants Two phase 3 randomized clinical trials were conducted. The induction trial was conducted at 261 clinical centers (in 41 countries) and enrolled 977 patients from November 5, 2020, to August 4, 2022 (final follow-up on May 16, 2023). The maintenance trial was conducted at 238 clinical centers (in 37 countries) and enrolled 754 patients from August 28, 2018, to March 30, 2022 (final follow-up on April 11, 2023). Eligible patients had moderately to severely active ulcerative colitis; a history of intolerance or inadequate response to 1 or more conventional therapies, advanced therapies, or both types of therapies; and no prior exposure to risankizumab. Interventions For the induction trial, patients were randomized 2:1 to receive 1200 mg of risankizumab or placebo administered intravenously at weeks 0, 4, and 8. For the maintenance trial, patients with a clinical response (determined using the adapted Mayo score) after intravenous treatment with risankizumab were randomized 1:1:1 to receive subcutaneous treatment with 180 mg or 360 mg of risankizumab or placebo (no longer receiving risankizumab) every 8 weeks for 52 weeks. Main Outcomes and Measures The primary outcome was clinical remission (stool frequency score ≤1 and not greater than baseline, rectal bleeding score of 0, and endoscopic subscore ≤1 without friability) at week 12 for the induction trial and at week 52 for the maintenance trial. Results Among the 975 patients analyzed in the induction trial (aged 42.1 [SD, 13.8] years; 586/973 [60.1%] were male; and 677 [69.6%] were White), the clinical remission rates at week 12 were 132/650 (20.3%) for 1200 mg of risankizumab and 20/325 (6.2%) for placebo (adjusted between-group difference, 14.0% [95% CI, 10.0%-18.0%], P < .001). Among the 548 patients analyzed in the maintenance trial (aged 40.9 [SD, 14.0] years; 313 [57.1%] were male; and 407 [74.3%] were White), the clinical remission rates at week 52 were 72/179 (40.2%) for 180 mg of risankizumab, 70/186 (37.6%) for 360 mg of risankizumab, and 46/183 (25.1%) for placebo (adjusted between-group difference for 180 mg of risankizumab vs placebo, 16.3% [97.5% CI, 6.1%-26.6%], P < .001; adjusted between-group difference for 360 mg of risankizumab vs placebo, 14.2% [97.5% CI, 4.0%-24.5%], P = .002). No new safety risks were detected in the treatment groups. Conclusion and Relevance Compared with placebo, risankizumab improved clinical remission rates in an induction trial and in a maintenance trial for patients with moderately to severely active ulcerative colitis. Further study is needed to identify benefits beyond the 52-week follow-up. Trial Registration ClinicalTrials.gov Identifiers: NCT03398148 and NCT03398135
Novel MAGIC composite scores using both clinical symptoms and biomarkers best predict treatment outcomes of acute GVHD
Akahoshi, Yu , Spyrou, Nikolaos , Weber, Daniela , Aguayo‐Hiraldo, Paibel , Ayuk, Francis , Chanswangphuwana, Chantiya , Choe, Hannah , Etra, Aaron , Grupp, Stephan A. , Schechter, Tal , Vášová, Ingrid, Wölfl, Matthias , Baez, Janna , Beheshti, Rahnuma, Eng, Gilbert, Gleich, Sigrun, Katsivelos, Nikolaos , Kowalyk, Steven, Morales, George , Young, Rachel , Chen, Yi‐Bin , Nakamura, Ryotaro , Ferrara, James L.M. , Grupp, Stephan A , Hexner, Elizabeth , Hogan, William J , Al Malki, Monzr M , Merli, Pietro , Qayed, Muna , Reshef, Ran , Ullrich, Evelyn , Katsivelos, Nikolaos , Chen, Yi-Bin , Nakamura, Ryotaro , Levine, John E , Ferrara, James L M , Aguayo-Hiraldo, Paibel , Akahoshi, Yu , Eder, Matthias , Hexner, Elizabeth O. , Hogan, William J. , Kitko, Carrie L. , Kraus, Sabrina , Malki, Monzr M. Al , Reshef, Ran , Zeiser, Robert , Levine, John E.

Blood | July 5, 2024 | Volume: 144 | Issue: 9 | Pages: 1010-1021

10.1182/blood.2024025106 | PMID 38968143 Get It

Abstract Acute graft-versus-host disease (GVHD) grading systems that use only clinical symptoms at treatment initiation such as the Minnesota risk identify standard and high-risk categories but lack a low-risk category suitable to minimize immunosuppressive strategies. We developed a new grading system that includes a low-risk stratum based on clinical symptoms alone and determined whether the incorporation of biomarkers would improve the model’s prognostic accuracy. We randomly divided 1863 patients in the Mount Sinai Acute GVHD International Consortium (MAGIC) who were treated for GVHD into training and validation cohorts. Patients in the training cohort were divided into 14 groups based on similarity of clinical symptoms and similar nonrelapse mortality (NRM); we used a classification and regression tree (CART) algorithm to create three Manhattan risk groups that produced a significantly higher area under the receiver operating characteristic curve (AUC) for 6-month NRM than the Minnesota risk classification (0.69 vs 0.64, P = .009) in the validation cohort. We integrated serum GVHD biomarker scores with Manhattan risk using patients with available serum samples and again used a CART algorithm to establish 3 MAGIC composite scores that significantly improved prediction of NRM compared to Manhattan risk (AUC, 0.76 vs 0.70, P = .010). Each increase in MAGIC composite score also corresponded to a significant decrease in day 28 treatment response (80% vs 63% vs 30%, P < .001). We conclude that the MAGIC composite score more accurately predicts response to therapy and long-term outcomes than systems based on clinical symptoms alone and may help guide clinical decisions and trial design.
The MAGIC algorithm probability predicts treatment response and long-term outcomes to second-line therapy for acute GVHD
DeFilipp, Zachariah , Spyrou, Nikolaos , Katsivelos, Nikolaos , Kowalyk, Steven, Eng, Gilbert, Kasikis, Stelios, Beheshti, Rahnuma, Baez, Janna , Akahoshi, Yu , Ayuk, Francis, Choe, Hannah , Etra, Aaron , Vášová, Ingrid, Young, Rachel , Holler, Ernst , Ferrara, James L.M. , Nakamura, Ryotaro , Chen, Yi‐Bin , Katsivelos, Nikolaos , Akahoshi, Yu , Hexner, Elizabeth , Hogan, William J , Qayed, Muna , Reshef, Ran , Nakamura, Ryotaro , Levine, John E , Chen, Yi-Bin , Kim, Haesook T. , Grupp, Stephan A. , Hexner, Elizabeth O. , Hogan, William J. , Kitko, Carrie L. , Reshef, Ran , Zeiser, Robert , Levine, John E.

Blood Advances | June 28, 2024 | Volume: 8 | Issue: 13 | Pages: 3488-3496

10.1182/bloodadvances.2024012561 | PMID 38640197 Get It

Abstract The significance of biomarkers in second-line treatment for acute graft-versus-host disease (GVHD) has not been well characterized. We analyzed clinical data and serum samples at the initiation of second-line systemic treatment of acute GVHD from 167 patients from 17 centers of the Mount Sinai Acute GVHD International Consortium (MAGIC) between 2016 and 2021. Sixty-two patients received ruxolitinib-based therapy, whereas 102 received other systemic agents. In agreement with prospective trials, ruxolitinib resulted in a higher day 28 (D28) overall response Frate than nonruxolitinib therapies (55% vs 31%, P = .003) and patients who received ruxolitinib had significantly lower nonrelapse mortality (NRM) than those who received nonruxolitinib therapies (point estimates at 2-year: 35% vs 61%, P = .002). Biomarker analyses demonstrated that the benefit from ruxolitinib was observed only in patients with low MAGIC algorithm probabilities (MAPs) at the start of second-line treatment. Among patients with a low MAP, those who received ruxolitinib experienced significantly lower NRM than those who received nonruxolitinib therapies (point estimates at 2-year: 12% vs 41%, P = .016). However, patients with high MAP experienced high NRM regardless of treatment with ruxolitinib or nonruxolitinib therapies (point estimates at 2-year: 67% vs 80%, P = .65). A landmark analysis demonstrated that the relationship between the D28 response and NRM largely depends on the MAP level at the initiation of second-line therapy. In conclusion, MAP measured at second-line systemic treatment for acute GVHD predicts treatment response and NRM. The outcomes of patients with high MAP are poor regardless of treatment choice, and ruxolitinib appears to primarily benefit patients with low MAP.
Donor types and outcomes of transplantation in myelofibrosis: a CIBMTR study
Jain, Tania , Estrada‐Merly, Noel, Salas, María Queralt , Kim, Soyoung , DeVos, Jakob D. , Chen, Min , Fang, Xi , Kumar, Rajat , Elmariah, Hany , Aljurf, Mahmoud , Badar, Talha , Ballen, Karen K. , Bredeson, Christopher , DeFilipp, Zachariah , Farhadfar, Nosha , Farhan, Shatha , Gandhi, Arpita , Ganguly, Siddhartha , Hamilton, Betty K. , Inamoto, Yoshihiro , Jamy, Omer , Kharfan‐Dabaja, Mohamed A. , Krem, Maxwell M. , Lad, Deepesh , Malone, Adriana K. , Pawarode, Attaphol , Poel, Marjolein van der , Rizzieri, David A. , Savoie, Mary Lynn , Seo, Sachiko , Solh, Melhem , Üstün, Celalettin , Verdonck, Leo F. , Wirk, Baldeep , Bejanyan, Nelli , Jones, Richard J., Nakamura, Ryotaro , Scott, Bart L. , Saber, Wael , Gupta, Vikas , Salas, M Queralt , Elmariah, Hany , Bacher, Ulrike , Badar, Talha , Bhatt, Vijaya Raj , DeFilipp, Zachariah , Dholaria, Bhagirathbhai R , Farhan, Shatha , Hamad, Nada , Hamilton, Betty K , Inamoto, Yoshihiro , Jamy, Omer , Juckett, Mark , Kharfan-Dabaja, Mohamed A , Krem, Maxwell M , Al Malki, Monzr M , Malone, Adriana K , Murthy, Hemant S , Patel, Sagar , Perales, Miguel-Angel , Ringden, Olov , Rovó, Alicia , Savani, Bipin N , Savoie, Mary Lynn , Seo, Sachiko , Ustun, Celalettin , Verdonck, Leo F , Bejanyan, Nelli , Nishihori, Taiga , Nakamura, Ryotaro , Scott, Bart , Gupta, Vikas , Jain, Tania , Kim, Soyoung , Andrade‐Campos, Marcio , Agrawal, Vaibhav , Badawy, Sherif M. , Beitinjaneh, Amer , Bhatt, Vijaya Raj , Dholaria, Bhagirathbhai , Gergis, Usama , Grunwald, Michael R. , Hamad, Nada , Iqbal, Madiha , Liesveld, Jane L. , Malki, Monzr M. Al , Murthy, Hemant S. , Ortí, Guillermo, Patel, Sagar S. , Perales, Miguel‐Angel , Ringdén, Olle , Savani, Bipin N. , Wingard, John R. , Nishihori, Taiga , Oran, Betül

Blood Advances | June 25, 2024 | Volume: 8 | Issue: 16 | Pages: 4281-4293

10.1182/bloodadvances.2024013451 | PMID 38916866 Get It

Abstract We evaluate the impact of donor types on outcomes of hematopoietic cell transplantation (HCT) in myelofibrosis, using the Center for International Blood and Marrow Transplant Research registry data for HCTs done between 2013 and 2019. In all 1597 patients, the use of haploidentical donors increased from 3% in 2013 to 19% in 2019. In study-eligible 1032 patients who received peripheral blood grafts for chronic-phase myelofibrosis, 38% of recipients of haploidentical HCT were non-White/Caucasian. Matched sibling donor (MSD)–HCTs were associated with superior overall survival (OS) in the first 3 months (haploidentical hazard ratio [HR], 5.80 [95% confidence interval (CI), 2.52-13.35]; matched unrelated (MUD) HR, 4.50 [95% CI, 2.24-9.03]; mismatched unrelated HR, 5.13 [95% CI, 1.44-18.31]; P < .001). This difference in OS aligns with lower graft failure with MSD (haploidentical HR, 6.11 [95% CI, 2.98-12.54]; matched unrelated HR, 2.33 [95% CI, 1.20-4.51]; mismatched unrelated HR, 1.82 [95% CI, 0.58-5.72]). There was no significant difference in OS among haploidentical, MUD, and mismatched unrelated donor HCTs in the first 3 months. Donor type was not associated with differences in OS beyond 3 months after HCT, relapse, disease-free survival, or OS among patients who underwent HCT within 24 months of diagnosis. Patients who experienced graft failure had more advanced disease and commonly used nonmyeloablative conditioning. Although MSD-HCTs were superior, there is no significant difference in HCT outcomes from haploidentical and MUDs. These results establish haploidentical HCT with posttransplantation cyclophosphamide as a viable option in myelofibrosis, especially for ethnic minorities underrepresented in the donor registries.
Amphiregulin, ST2, and REG3α biomarker risk algorithms as predictors of nonrelapse mortality in patients with acute GVHD
Etra, Aaron , Jurdi, Najla El , Katsivelos, Nikolaos , Gergoudis, Stephanie, Morales, George , Spyrou, Nikolaos , Kowalyk, Steven, Aguayo‐Hiraldo, Paibel , Akahoshi, Yu , Ayuk, Francis, Baez, Janna , Chanswangphuwana, Chantiya , Chen, Yi‐Bin , Choe, Hannah , DeFilipp, Zachariah , Gleich, Sigrun, Holler, Ernst , MacMillan, Margaret L. , Pawarode, Attaphol , Quagliarella, Francesco , Schechter, Tal , Vášová, Ingrid, Wölfl, Matthias , Young, Rachel , Nakamura, Ryotaro , Ferrara, James L.M. , El Jurdi, Najla , Spyrou, Nikolaos , Aguayo-Hiraldo, Paibel , Chen, Yi-Bin , DeFilipp, Zachariah , Hexner, Elizabeth , Hogan, William J , Al Malki, Monzr M , Quagliarella, Francesco , Qayed, Muna , Weisdorf, Dan , Wölfl, Matthias , Nakamura, Ryotaro , Levine, John E , Holtan, Shernan , Katsivelos, Nikolaos , Akahoshi, Yu , Kwon, Deukwoo , Betts, Brian Christopher , Hexner, Elizabeth O. , Hogan, William J. , Kitko, Carrie L. , Kraus, Sabrina , Malki, Monzr M. Al , Reshef, Ran , Weisdorf, Daniel J. , Levine, John E. , Holtan, Shernan G.

Blood Advances | June 14, 2024 | Volume: 8 | Issue: 12 | Pages: 3284-3292

10.1182/bloodadvances.2023011049 | PMID 38640195 Get It

Abstract Graft-versus-host disease (GVHD) is a major cause of nonrelapse mortality (NRM) after allogeneic hematopoietic cell transplantation. Algorithms containing either the gastrointestinal (GI) GVHD biomarker amphiregulin (AREG) or a combination of 2 GI GVHD biomarkers (suppressor of tumorigenicity-2 [ST2] + regenerating family member 3 alpha [REG3α]) when measured at GVHD diagnosis are validated predictors of NRM risk but have never been assessed in the same patients using identical statistical methods. We measured the serum concentrations of ST2, REG3α, and AREG by enzyme-linked immunosorbent assay at the time of GVHD diagnosis in 715 patients divided by the date of transplantation into training (2004-2015) and validation (2015-2017) cohorts. The training cohort (n = 341) was used to develop algorithms for predicting the probability of 12-month NRM that contained all possible combinations of 1 to 3 biomarkers and a threshold corresponding to the concordance probability was used to stratify patients for the risk of NRM. Algorithms were compared with each other based on several metrics, including the area under the receiver operating characteristics curve, proportion of patients correctly classified, sensitivity, and specificity using only the validation cohort (n = 374). All algorithms were strong discriminators of 12-month NRM, whether or not patients were systemically treated (n = 321). An algorithm containing only ST2 + REG3α had the highest area under the receiver operating characteristics curve (0.757), correctly classified the most patients (75%), and more accurately risk-stratified those who developed Minnesota standard-risk GVHD and for patients who received posttransplant cyclophosphamide-based prophylaxis. An algorithm containing only AREG more accurately risk-stratified patients with Minnesota high-risk GVHD. Combining ST2, REG3α, and AREG into a single algorithm did not improve performance.
Exposure-response analyses for optimal therapeutic dose selection of ABBV-383 in patients with relapsed/refractory multiple myeloma (RRMM).
Polepally, Akshanth, Badillo, Jesus D, Almeida, Carla Biesdorf de, Voorhees, Peter M. , Kumar, Shaji , Bueno, Orlando F. , Rosenberg, Tanya, Pothacamury, Rajvineeth Kumar, Talati, Chetasi, Menon, Rajeev , Mensing, Sven , Engelhardt, Benjamin , D’Souza, Anita , Talati, Chetasi

Journal of Clinical Oncology | June 10, 2024 | Volume: 42 | Issue: 16_suppl | Pages: 7541-7541

10.1200/jco.2024.42.16_suppl.7541 Get It

7541 Background: ABBV-383 is a fully human, B-cell maturation antigen (BCMA) × CD3 T-cell–engaging IgG4 bispecific with an effector-silenced Fc region, 2 high-affinity BCMA- and a low-affinity CD3-binding domains. ABBV-383 monotherapy has shown promising activity in patients (pts) with RRMM (Blood 2023;142[suppl 1]:3378). Here, exposure-response (ER) analyses of efficacy and safety endpoints supporting the optimal therapeutic ABBV-383 dose selection are reported in alignment with US FDA’s Project Optimus. Methods: Efficacy (n=218) and safety (n=220) data from the phase 1 study (NCT03933735) escalation cohorts of 0.025 - 120 mg Q3W and expansion cohorts of 20, 40, 60 mg Q3W and 60 mg Q4W including objective response rate (ORR), very good partial response or better (≥VGPR), stringent complete response (sCR)/CR, adverse events (≥G3 and serious), infections (≥G3, overall and serious), cytokine release syndrome (CRS; any-grade, G1, G2, and ≥G2) were modeled. Total(unbound + bound to soluble BCMA) and free (unbound + partially bound to soluble BCMA) Cycle 1 AUCinf, Cmax, and Ctrough and population pharmacokinetic model-derived up to the time of event Cavg and avgCtrough metrics were utilized in the ER analyses (logistic regression; R Version 4.2.2). Relevant pt-specific covariates were tested. Dexamethasone premedication (36 vs 10 mg) was included in CRS models. The ER relationships were utilized to predict the probabilities of efficacy and safety endpoints for relevant doses and thereby, support justification of the optimal therapeutic dose selection. Results: Based on overall assessment, ORR, ≥VGPR, sCR/CR and ≥G3 neutropenia strongly correlated with free Cavg; CRS endpoints (any-grade CRS and G1 only CRS) strongly correlated with Cycle 1 total Cmax (p <0.05). No other endpoints had ER relationships (p >0.05). Only MM type (IgG vs Others) was selected in ≥VGPR and sCR/CR models. ER relationships suggested high response rates of >63% ORR, >53% ≥VGPR, and ≥30% sCR/CR for 40, 60 mg Q3W and 60 mg Q4W. Predictions demonstrated that 20 mg Q3W (<39% ORR and ≥VGPR; <13% sCR/CR) and untested 40 mg Q4W (<60% ORR, <45% ≥VGPR and <23% sCR/CR) provide suboptimal efficacy. The 60 mg Q4W with 36 mg dexamethasone in Cycle1 (limited follow-up and data) was predicted to have ~30% sCR/CR and 31% ≥G3 neutropenia (≈ 40 mg Q3W) and substantially lower any-grade CRS events compared with 40 and 60 mg doses with 10 mg dexamethasone in Cycle 1. Conclusions: While ER analyses indicated promising efficacy and acceptable safety profiles for 40, 60 mg Q3W, and 60 mg Q4W, they support 60 mg Q4W as the optimal ABBV-383 therapeutic dose due to its predicted better therapeutic benefit/risk profile (high response rates, improved/equivalent ≥G3 neutropenia, and lower CRS events) and extended dosing interval. ABBV-383 at 60 mg Q4W will be investigated in the registrational phase 3 trial (NCT06158841) in RRMM.
Correlative biomarker analyses for optimal therapeutic dose determination of ABBV-383, a B-cell maturation antigen (BCMA) x CD3 bispecific antibody, in patients with relapsed/refractory multiple myeloma (RRMM).
Ahsan, Aarif, Mantis, Christine, Luo, Xizhi, Zhang, Catherine, Valdes, Cesar Rodriguez , Voorhees, Peter M. , Safah, Hana, McKay, John T., Korde, Neha , Vij, Ravi , Kumar, Shaji , Bueno, Orlando Felix, Pothacamury, Rajvineeth Kumar, D’Souza, Anita , Chung, Alfred , Tuchman, Sascha Alexander , McKay, John, Weisel, Katja C , Teipel, Raphael , Bueno, Orlando F. , Talati, Chetasi , Ross, Jeremy A.

Journal of Clinical Oncology | June 10, 2024 | Volume: 42 | Issue: 16_suppl | Pages: 7532-7532

10.1200/jco.2024.42.16_suppl.7532 Get It

7532 Background: ABBV-383 is a BCMA x CD3 bispecific antibody with 2 high-affinity BCMA-binding domains and a low-affinity CD3 engaging arm that has been shown to decrease the negative impact of soluble BCMA (sBCMA) and drive sustained T-cell activation with reduced cytokine release in preclinical models of MM. Here, we describe correlative biomarker results of baseline and longitudinal sBCMA levels and immune profiles in the ongoing first-in-human trial that supports 60 mg Q4W as the optimal therapeutic dose of ABBV-383 monotherapy. Methods: Peripheral blood and serum samples from patients with RRMM enrolled in the phase 1 open-label, dose-expansion study (NCT03933735) who received ABBV-383 at 20, 40, or 60 mg Q3W or 60 mg Q4W were collected at baseline (post-dexamethasone, pre–ABBV-383), on treatment, and at disease progression. Samples were analyzed by flow cytometry for immune cell populations, Luminex for cytokines, and electrochemiluminescence ligand binding for sBCMA. Results: Median sBCMA levels at baseline were highly variable among patients, but did not associate with clinical response (≥ partial response [PR]) to ABBV-383 at the selected optimal dose level of 60 mg Q4W (<PR: 244.7 ng/mL; ≥PR: 52.2 ng/mL; P=0.13). Reduction in sBCMA levels over time associated with clinical response (Cmin at cycle 5: <PR, 244.7 ng/mL; ≥PR, 4.7 ng/mL; P=0.04). ABBV-383 treatment led to a rapid and transient increase of proinflammatory cytokines, including IL-6, IL-8, IL-10, TNF-α (Cmax within cycle 1: 29, 349.5, 1375, 456.5 pg/mL, respectively), and promoted T-cell redistribution (89% reduction of CD8+ T cells from periphery), activation (1.9-fold increase in CD69+CD8+ T cells), and proliferation (2-fold increase in Ki67+CD8+ T cells) within cycle 1 in 60-mg Q4W-treated patients. The frequency of baseline CD8+ T-cell exhaustion (PD-1/TIM3) did not impact clinical response at the optimal dose level of 60 mg Q4W ABBV-383 (<PR: 3.5%; ≥PR: 3.9%; P=0.9). Peak induction levels of proinflammatory cytokines during cycle 1 correlated with occurrence of cytokine release syndrome (≥G1) as well as clinical response across dose levels. Conclusions: High-avidity BCMA binding coupled to low-affinity T-cell engagement distinguishes the resulting mechanism of action for ABBV-383. Responses to 60 mg Q4W ABBV-383 were independent of baseline sBCMA levels and resulted in rapid and transient proinflammatory cytokine production that promoted robust T-cell redistribution, activation, and proliferation, indicating that the optimal dose of ABBV-383 maximizes its clinical potential as a convenient, safe, and effective therapy for MM. Clinical trial information: NCT03933735 .
Efficacy, safety, and determination of RP2D of ABBV-383, a BCMA bispecific antibody, in patients with relapsed/refractory multiple myeloma (RRMM).
Valdes, Cesar Rodriguez , Voorhees, Peter M. , Safah, Hana, McKay, John T., Korde, Neha , Vij, Ravi, Bueno, Orlando Felix, Rosenberg, Tanya, Pothacamury, Rajvineeth Kumar, Polepally, Akshanth, Ahsan, Aarif, Kumar, Shaji , D’Souza, Anita , Chung, Alfred , Tuchman, Sascha Alexander , McKay, John, Weisel, Katja C , Teipel, Raphael , Bueno, Orlando F. , (Lee), Xin (Shane) Li, Jin, Ziyi , Talati, Chetasi

Journal of Clinical Oncology | June 10, 2024 | Volume: 42 | Issue: 16_suppl | Pages: 7531-7531

10.1200/jco.2024.42.16_suppl.7531 Get It

7531 Background: MM eventually becomes refractory to current treatments, and new therapeutic options with convenient dosing and improved safety are needed to enhance patient (pt) adherence, access, and outcomes. ABBV-383 is a distinctive next-generation BCMA x CD3 bispecific antibody composed of 2 high-affinity BCMA-binding domains, a low-affinity CD3-binding domain designed to reduce cytokine release syndrome (CRS) risk, and a silenced Fc tail for an extended half-life allowing convenient dosing. ABBV-383 monotherapy has shown promising activity in the ongoing first-in-human phase 1 trial in RRMM (Vij et al. Blood 2023;142[suppl 1]:3378). Here, safety and efficacy results are reported that support the RP2D of 60mg Q4W as the optimal therapeutic ABBV-383 monotherapy dose. Methods: This phase 1 open-label, dose-escalation/expansion trial (NCT03933735) enrolled pts with RRMM who received ≥3 prior lines of therapy with exposure to PI, IMiD, and anti-CD38 mAb. ABBV-383 regimens explored in the expansion phase included 60mg Q4W and 40 or 60mg Q3W. A modified dexamethasone premedication schedule and shortened CRS monitoring period were implemented in the 60mg Q4W cohort for cycle 1. IV ABBV-383 was administered as a flat dose with no step-up schedule. Treatment was continued until disease progression/unacceptable toxicity. Primary objectives were to assess safety, tolerability, PK, PD, and determine the RP2D. Efficacy evaluation was a secondary objective. TEAEs were assessed per CTCAE v5.0 and tumor response per IMWG 2016 criteria. Results: As of May 2023, 220 pts received ABBV-383 (median age: 68 yr [35–92]; median prior therapy lines: 5 [3‒23]). Median FU was 4.1 mo (0.8–5.2) at 60mg Q4W (n=21), 12.2 mo (1.3–34.4) at 40mg Q3W (n=55), and 24.2 mo (0.6–33.4) at 60mg Q3W (n=61). At 60mg Q4W, with the modified premedication regimen, CRS was reported in 43% of pts (38% G1, 5% G2), and ICANS in 5% of pts (G2). In Q3W cohorts, CRS was reported in 71% (40mg; 45% G1, 25% G2) and 70% (60mg; 51% G1, 18% G2, 2% G3) of pts. The incidence of G3/4 neutropenia, anemia, and thrombocytopenia was 14/24/10% at 60mg Q4W, 31/31/16% at 40mg Q3W, and 34/13/13% at 60mg Q3W. G3/4 infections occurred in 10/24/34% of pts at 60mg Q4W, 40mg and 60mg Q3W, respectively. ORR and ≥VGPR were 65/50% at 60mg Q4W, 64/53% at 40mg Q3W, and 60/52% at 60mg Q3W. Corresponding exposure-response (ER) analyses and correlative analyses further supported RP2D determination (separate abstract submissions). Conclusions: The optimal therapeutic dose of 60mg Q4W ABBV-383 monotherapy was selected on the basis of safety, efficacy, and ER analyses. The extended interval of Q4W, with a shortened CRS monitoring period in cycle 1 and no step-up dosing, will improve convenience and reduce the treatment burden for pts. ABBV-383 at 60mg Q4W will be investigated in the registrational phase 3 trial (NCT06158841) in RRMM. Clinical trial information: NCT03933735 .