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908 citation(s) found for "Wu, Wendy".

Evaluating adoption and reach in a pragmatic randomized trial of community paramedicine for intermediate acuity patient care
Ridgeway, Jennifer L. , Sundt, Wendy J., Krpata, Tami, Glasgow, Amy E. , Smith-Stellflug, Jamie L, Juntunen, Michael B. , Liedl, Chad P., Hentz, Joseph G. , McCoy, Jessica, Sundt, Wendy J S, Krpata, Tami S, Glasgow, Amy, Smith, Olivia A, Lampman, Michelle A. , Menser, Terri L, McCoy, Jessica J, Ridgeway, Jennifer L , Smith, Jamie L , Smith, Olivia A., Menser, Terri , McCoy, Rozalina G.

Journal of Clinical and Translational Science | October 17, 2024 | Volume: 8 | Issue: 1 | Pages: No page available

10.1017/cts.2024.646 | PMID 39655042 Get It

Abstract Introduction: Pragmatic trials aim to speed translation to practice by integrating study procedures in routine care settings. This study evaluated implementation outcomes related to clinician and patient recruitment and participation in a trial of community paramedicine (CP) and presents successes and challenges of maintaining pragmatic study features. Methods: Adults in the pre-hospital setting, emergency department (ED), or hospital being considered for referral to the ED/hospital or continued hospitalization for intermediate-level care were randomized 1:1 to CP care or usual care. Referral and enrollment data were tracked administratively, and patient characteristics were abstracted from the electronic health record (EHR). Enrolled patients completed baseline surveys, and a subset of intervention patients were interviewed. All CPs and a sample of clinicians and administrators were invited to complete a survey and interview. Results: Between January 2022 and February 2023, 240 enrolled patients (42% rural) completed surveys, and 22 completed an interview; 63 staff completed surveys and 20 completed an interview. Ninety-three clinicians in 27 departments made at least one referral. Factors related to referrals included program awareness and understanding the CP practice scope. Most patients were enrolled in the hospital, but characteristics were similar to the primary care population and included older and medically complex patients. Challenges to achieving representativeness included limited EHR infrastructure, constraints related to patient consenting, and clinician concerns about patient randomization disrupting preferred care. Conclusion: Future pragmatic trials in busy clinical settings may benefit from regulatory policies and EHR capabilities that allow for real-world study conduct and representative participation. Trial registration: NCT05232799.
Incidence, Mechanisms, and Clinical Characteristics of Traumatic Iritis: A Population-Based Analysis
Wang, Kenny Y. , Kim, B. Michelle, Xu, Timothy T. , Hodge, David O. , Smith, Wendy M. , Reynolds, Margaret

Ocular Immunology and Inflammation | October 15, 2024 | Volume: 33 | Issue: 3 | Pages: 378-384

10.1080/09273948.2024.2413899 | PMID 39405056 Get It

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.
Aspirin vs Placebo as Adjuvant Therapy for Breast Cancer—Reply
Chen, Wendy Y. , Ballman, Karla V. , Holmes, Michelle D

JAMA | September 5, 2024 | Volume: 332 | Issue: 13 | Pages: 1113

10.1001/jama.2024.15500 | PMID 39235793 Get It

Lymph node staging and treatment in pediatric patients with soft tissue sarcomas: A consensus opinion from the Children’s Oncology Group, European paediatric Soft tissue sarcoma Study Group, and the Cooperative Weichteilsarkom Studiengruppe
Scheltinga, Scheila E. J. Terwisscha van, Keizer, Bart de , McCarville, M. Beth , Casey, Dana L. , Walterhouse, David , Hiemcke‐Jiwa, Laura S. , Franzius, Christiane, Vokuhl, Christian , Birz, Suzi , Rodeberg, David A. , Casey, Dana L , de Keizer, Bart , Schoot, Reineke A , Routh, Jonathan C. , Seitz, Guido , Kao, Simon C. , Shulkin, Barry L. , Ewijk, Roelof van , Allen‐Rhoades, Wendy , Mercolini, Federico , Merks, Johannes H M , Orbach, Daniel , Kapadia, Tejas , Fajardo, Raquel Dávila , Corti, Federica De , Tang, Vivian , Metts, Jonathan L. , Oberoi, Saphna , Dasgupta, Roshni

No container title available | August 23, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.22541/au.172445880.02878798/v1 Get It

Accurate staging of nodal involvement in pediatric sarcoma patients is important to determine correct systemic and local therapy, with the goal to reduce subsequent recurrences. However, differences in lymph node staging strategies, definitions, and treatment protocols between the Children’s Oncology Group (COG), European Pediatric Soft Tissue Sarcoma Study Group (EpSSG), and the Cooperative Weichteil Sarkom Studiengruppe (CWS), complicate comparisons. In this article we try to establish internationally recognized recommendations for lymph node assessment and treatment of children and adolescents diagnosed with RMS and NRSTS according to the Consensus Conference Standard Operating Procedure methodology.
Artificial intelligence enabled interpretation of ECG images to predict hematopoietic cell transplantation toxicity
Shaffer, Brian C. , Brown, Samantha , Chinapen, Stephanie , Mangold, Kathryn, Lahoud, Oscar , Schaffer, Wendy, Liu, Jennifer E. , Giralt, Sergio , Scordo, Michael , Papadopoulos, Esperanza B. , Landau, Heather , Friedman, Paul A. , Kosmidou, Ioanna , Giralt, Sergio , Papadopoulos, Esperanza , Landau, Heather , Perales, Miguel-Angel , Friedman, Paul A , Attia, Zachi I , Lahoud, Oscar B , López-Jiménez, Francisco , Devlin, Sean M. , Shah, Gunjan L. , Usmani, Saad Z. , Perales, Miguel‐Angel , Gersh, Bernard J. , Attia, Zachi I. , Noseworthy, Peter A.

Blood Advances | August 19, 2024 | Volume: 8 | Issue: 21 | Pages: 5603-5611

10.1182/bloodadvances.2024013636 | PMID 39158065 Get It

Abstract Artificial intelligence (AI)–enabled interpretation of electrocardiogram (ECG) images (AI-ECGs) can identify patterns predictive of future adverse cardiac events. We hypothesized that such an approach would provide prognostic information for the risk of cardiac complications and mortality in patients undergoing hematopoietic cell transplantation (HCT). We retrospectively subjected ECGs obtained before HCT to an externally trained, deep-learning model designed to predict the risk of atrial fibrillation (AF). Included were 1377 patients (849 autologous [auto] HCT and 528 allogeneic [allo] HCT recipients). The median follow-up was 2.9 years. The 3-year cumulative incidence of AF was 9% (95% confidence interval [CI], 7-12) in patients who underwent auto HCT and 13% (10%-16%) in patients who underwent allo HCT. In the entire cohort, pre-HCT AI-ECG estimate of AF risk correlated highly with the development of clinical AF (hazard ratio [HR], 7.37; 95% CI, 3.53-15.4; P < .001), inferior survival (HR, 2.4; 95% CI, 1.3-4.5; P = .004), and greater risk of nonrelapse mortality (NRM; HR, 95% CI, 3.36; 1.39-8.13; P = .007), without increased risk of relapse. Association with mortality was only noted in allo HCT recipients, where the risk of NRM was greater. The use of cyclophosphamide after transplantation resulted in greater 90-day incidence of AF (13% vs 5%; P = .01) compared to calcineurin inhibitor–based graft-versus-host disease prophylaxis, corresponding to temporal changes in AI-ECG AF prediction after HCT. In summary, AI-ECG can inform risk of posttransplant cardiac outcomes and survival in HCT patients and represents a novel strategy for personalized risk assessment.
Beat-AML 2024 ELN–refined risk stratification for older adults with newly diagnosed AML given lower-intensity therapy
Hoff, Fieke W. , Blum, William , Huang, Ying , Welkie, Rina Li , Swords, Ronan , Traer, Elie , Stein, Eytan M. , Lin, Tara L. , Patel, Prapti A. , Collins, Robert H. , Baer, Maria R. , Arellano, Martha , Odenike, Olatoyosi , Redner, Robert L. , Kovacsovics, Tibor , Deininger, Michael W. , Olin, Rebecca L. , Foran, James M. , Schiller, Gary J. , Curran, Emily , Koenig, Kristin L , Heerema, Nyla A. , Chen, Timothy L. , Martycz, Molly , Stefanos, Mona , Marcus, Sonja G., Rosenberg, Leonard, Burd, Amy , Yocum, Ashley O. , Borate, Uma , Byrd, John C. , Madanat, Yazan F. , Huang, Ying , Byrd, John C. , Duong, Vu H , Deininger, Michael , Zeidner, Joshua F , Smith, Catherine C , Koenig, Kristin L , Druker, Brian J , Mims, Alice S , Madanat, Yazan , Traer, Elie , Lin, Tara L , Byrd, John C , Archer, Kellie J. , Duong, Vu H. , Stock, Wendy , Zeidner, Joshua F. , Smith, Catherine C. , Marcus, Sonja G., Levine, Ross L.

Blood Advances | August 7, 2024 | Volume: 8 | Issue: 20 | Pages: 5297-5305

10.1182/bloodadvances.2024013685 | PMID 39110987 Get It

Abstract Although the 2022 European LeukemiaNet (ELN) acute myeloid leukemia (AML) risk classification reliably predicts outcomes in younger patients treated with intensive chemotherapy, it is unclear whether it applies to adults ≥60 years treated with lower-intensity treatment (LIT). We aimed to test the prognostic impact of ELN risk in patients with newly diagnosed (ND) AML aged ≥60 years given LIT and to further refine risk stratification for these patients. A total of 595 patients were included: 11% had favorable-, 11% intermediate-, and 78% had adverse-risk AML. ELN risk was prognostic for overall survival (OS) (P < .001) but did not stratify favorable- from intermediate-risk (P = .71). Within adverse-risk AML, the impact of additional molecular abnormalities was further evaluated. Multivariable analysis was performed on a training set (n = 316) and identified IDH2 mutation as an independent favorable prognostic factor, and KRAS, MLL2, and TP53 mutations as unfavorable (P < .05). A “mutation score” was calculated for each combination of these mutations, assigning adverse-risk patients to 2 risk groups: −1 to 0 points (“Beat-AML intermediate”) vs 1+ points (“Beat-AML adverse”). In the final refined risk classification, ELN favorable- and intermediate-risk were combined into a newly defined “Beat-AML favorable-risk” group, in addition to mutation scoring within the ELN adverse-risk group. This approach redefines risk for older patients with ND AML and proposes refined Beat-AML risk groups with improved discrimination for OS (2-year OS, 48% vs 33% vs 11%, respectively; P < .001), providing patients and providers additional information for treatment decision-making.
Impact of Age on Pharmacogenomics and Treatment Outcomes of B-Cell Acute Lymphoblastic Leukemia
Li, Zhenhua , Gocho, Yoshihiro , Yang, Wenjian , Crews, Kristine R. , Lee, Shawn H.R. , Roberts, Kathryn G. , Mullighan, Charles G. , Relling, Mary V. , Yu, Jiyang , Loh, Mignon L. , Saygin, Caner , Litzow, Mark R. , Karol, Seth E. , Inaba, Hiroto , Konopleva, Marina , Paietta, Elisabeth, Evans, William E. , Yang, Wenjian , Crews, Kristine R , Roberts, Kathryn G , Mullighan, Charles G , Relling, Mary V , Yu, Jiyang , Yeoh, Allen E J , Loh, Mignon L , Litzow, Mark R. , Jeha, Sima , Karol, Seth E , Inaba, Hiroto , Pui, Ching-Hon , Konopleva, Marina , Jain, Nitin , Stock, Wendy , Jabbour, Elias , Kornblau, Steven M , Yang, Jun J.J. , Yoshimura, Satoshi , Yeoh, Allen Eng Juh , Stock, Wendy , Jabbour, Elias , Kornblau, Steven M.

Journal of Clinical Oncology | August 5, 2024 | Volume: 42 | Issue: 29 | Pages: 3478-3490

10.1200/jco.24.00500 | PMID 39102629 Get It

PURPOSE Acute lymphoblastic leukemia (ALL) can occur across all age groups, with a strikingly higher cure rate in children compared with adults. However, the pharmacological basis of age-related differences in ALL treatment response remains unclear. METHODS Studying 767 children and 309 adults with newly diagnosed B-cell ALL enrolled on frontline trials at St Jude Children's Research Hospital, MD Anderson Cancer Center, the Alliance for Clinical Trials in Oncology, and the ECOG-ACRIN Cancer Research Group, we determined the ex vivo sensitivity of leukemia cells to 21 drugs. Twenty-three ALL molecular subtypes were identified using RNA sequencing. We systematically characterized the associations between drug response and ALL genomics in children, adolescents and young adults, and elderly adults. We evaluated the effect of age-related gene expression signature on ALL treatment outcomes. RESULTS Seven ALL drugs (asparaginase, prednisolone, mercaptopurine, dasatinib, nelarabine, daunorubicin, and inotuzumab ozogamicin) showed differential activity between children and adults, of which six were explained by age-related differences in leukemia molecular subtypes. Adolescents and young adults showed similar patterns of drug resistance as older adults, relative to young children. Mercaptopurine exhibited subtype-independent greater sensitivity in children. Transcriptomic profiling uncovered subclusters within CRLF2 -, DUX4 -, and KMT2A -rearranged ALL that were linked to age and cytotoxic drug resistance. In particular, a subset of children had adult-like ALL on the basis of leukemia gene expression patterns across subtypes, despite their chronological age. Resistant to cytotoxic drugs, children with adult-like ALL exhibited poor prognosis in pediatric ALL trials, even after adjusting for age and minimal residual diseases. CONCLUSION Our results provide pharmacogenomic insights into age-related disparities in ALL cure rates and identify leukemia prognostic features for treatment individualization across age groups.
Impact of prior inotuzumab ozogamicin treatment on brexucabtagene autoleucel outcomes in adults with B-cell ALL
Aldoss, Ibrahim , Roloff, Gregory W. , Kopmar, Noam E. , Lin, Chenyu , Advani, Anjali S. , Dekker, Simone E. , O’Connor, Timothy E. , Jeyakumar, Nikeshan , Muhsen, Ibrahim N. , Valtis, Yannis K. , Zhang, Amy , Miller, Katharine, Sutherland, Katherine C. , Ahmed, Mohamed , Zambrano, Héctor, Bradshaw, Danielle , Schwartz, Marc S. , Tracy, Sean , Kubiak, Michal Jakub , Mukherjee, Akash , Mountjoy, Luke , Malik, Shahbaz A. , Shaughnessy, Paul , Ladha, Abdullah , Stefan, Maryann, Guzowski, Caitlin, Hoeg, Rasmus T. , Moore, Jozal , Connor, Matthew P. , O’Dwyer, Kristen M. , Hill, LaQuisa C. , Tsai, Stephanie B., Sasine, Joshua , Solh, Melhem , Koura, Divya, Veeraputhiran, Muthu, Blunk, Betsy, Oliai, Caspian , Park, Jae H. , Bachanová, Veronika , Galal, Ahmed , Bishop, Michael R. , Pullarkat, Vinod , Muffly, Lori , Lin, Chenyu , Advani, Anjali S , Jeyakumar, Nikeshan , Dykes, Kaitlyn C , Chen, Evan , Bradshaw, Danielle , Dholaria, Bhagirathbhai R , Majhail, Navneet S , Logan, Aaron C , Ladha, Abdullah , Hilal, Talal , Moore, Jozal , Connor, Matthew , Hill, LaQuisa C , Sasine, Joshua , Lee, Catherine J , Leonard, Jessica T , Frey, Noelle V , Luskin, Marlise R , Muffly, Lori , Bachanova, Veronika , Aldoss, Ibrahim , Muhsen, Ibrahim N , Sutherland, Katherine , Roloff, Gregory W , Faramand, Rawan , Gupta, Vishal , Dykes, Kaitlyn C. , Mercadal, Santiago , Schwartz, Marc, Dholaria, Bhagirathbhai , Majhail, Navneet S. , Battiwalla, Minoo , Mathews, John, Hilal, Talal , O'Dwyer, Kristin , Tsai, Stephanie B., Kota, Vamsi , Oliai, Caspian H , Frey, Noelle V. , Bishop, Michael Russell , Stock, Wendy , Cassaday, Ryan D. , Shah, Bijal

Blood Advances | August 2, 2024 | Volume: 8 | Issue: 23 | Pages: 6139-6147

10.1182/bloodadvances.2024013747 | PMID 39093952 Get It

Abstract The effect of prior inotuzumab ozogamicin (InO) treatment on brexucabtagene autoleucel (brexu-cel) outcomes remains unclear in adults with acute lymphoblastic leukemia (ALL). We conducted a retrospective multicenter analysis of 189 patients with relapsed/refractory ALL treated with brexu-cel. Over half of the patients received InO before brexu-cel (InO exposed). InO-exposed patients were more heavily pretreated (P = .02) and frequently had active marrow disease before apheresis (P = .03). Response rate and toxicity profile after brexu-cel were comparable for InO-exposed and InO-naïve patients; however, consolidation therapy after brexu-cel response was used at a higher rate in InO-naïve patients (P = .005). With a median follow-up of 11.4 months, InO-exposed patients had inferior progression-free survival (PFS; P = .013) and overall survival (OS; P = .006) in univariate analyses; however, prior InO exposure did not influence PFS (hazard ratio, 1.20; 95% confidence interval, 0.71-2.03) in multivariate models. Within InO-exposed patients, InO responders had superior PFS (P = .002) and OS (P < .0001) relative to InO-refractory patients. The timing of administering InO did not affect brexu-cel outcomes, with comparable PFS (P = .51) and OS (P = .86) for patients receiving InO as bridging therapy or before apheresis. In conclusion, although InO exposure was associated with inferior survival outcomes after brexu-cel in unadjusted analyses, these associations were no longer significant in multivariate analyses, suggesting it is unlikely that InO negatively affects brexu-cel efficacy. Our data instead imply that InO-exposed recipients of brexu-cel tend to be higher-risk patients with intrinsic adverse leukemia biology.
Guidelines for management of actual or suspected inadvertent intra-arterial injection of sclerosants
Parsi, Kurosh , Maeseneer, Marianne De , Rij, André M. van , Bonython, Wendy , Devereux, John , Lekich, C, Amos, Michael, Bozkurt, Ahmet Kursat , Connor, David , Gianesini, Sergio , Gibson, Kathleen , Grabs, Anthony J., Grillo, Lorena, Hafner, Franz, Iafrati, Mark D. , Jackson, Mark , Jindal, Ravul , Raymond-Martimbeau, Pauline, Paraskevas, P, Ramelet, Albert‐Adrien , Roberts, Stefania , Simkin, Carlos, Thibault, P , Whiteley, Mark S , Lim, Adrian , De Maeseneer, Marianne , Bozkurt, Ahmet Kursat , Connor, David E , Davies, Alun H , Gianesini, Sergio , Gibson, Kathleen , Raymond-Martimbeau, Pauline , Thibault, Paul K , Whiteley, Mark S , Parsi, Kurosh , Rogan, Christopher , Davies, Alun H. , Gloviczki, Péter , Huber, David, Lim, Adrian, Lurie, Fedor , Marks, Lisa, Rial, Rodrigo

Phlebology: The Journal of Venous Disease | July 24, 2024 | Volume: 39 | Issue: 10 | Pages: 683-719

10.1177/02683555241260926 | PMID 39046331 Get It

Background Inadvertent intra-arterial injection of sclerosants is an uncommon adverse event of both ultrasound-guided and direct vision sclerotherapy. This complication can result in significant tissue or limb loss and significant long-term morbidity. Objectives To provide recommendations for diagnosis and immediate management of an unintentional intra-arterial injection of sclerosing agents. Methods An international and multidisciplinary expert panel representing the endorsing societies and relevant specialities reviewed the published biomedical, scientific and legal literature and developed the consensus-based recommendations. Results Actual and suspected cases of an intra-arterial sclerosant injection should be immediately transferred to a facility with a vascular/interventional unit. Digital Subtraction Angiography (DSA) is the key investigation to confirm the diagnosis and help select the appropriate intra-arterial therapy for tissue ischaemia. Emergency endovascular intervention will be required to manage the risk of major limb ischaemia. This includes intra-arterial administration of vasodilators to reduce vasospasm, and anticoagulants and thrombolytic agents to mitigate thrombosis. Mechanical thrombectomy, other endovascular interventions and even open surgery may be required. Lumbar sympathetic block may be considered but has a high risk of bleeding. Systemic anti-inflammatory agents, anticoagulants, and platelet inhibitors and modifiers would complement the intra-arterial endovascular procedures. For risk of minor ischaemia, systemic oral anti-inflammatory agents, anticoagulants, vasodilators and antiplatelet treatments are recommended. Conclusion Inadvertent intra-arterial injection is an adverse event of both ultrasound-guided and direct vision sclerotherapy. Medical practitioners performing sclerotherapy must ensure completion of a course of formal training (specialty or subspecialty training, or equivalent recognition) in the management of venous and lymphatic disorders (phlebology), and be personally proficient in the use of duplex ultrasound in vascular (both arterial and venous) applications, to diagnose and provide image guidance to venous procedure. Expertise in diagnosis and immediate management of an intra-arterial injection is essential for all practitioners performing sclerotherapy.