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65 citation(s) found for "Cahill, D R".

Valve thrombosis and antithrombotic therapy after bioprosthetic mitral valve replacement: a systematic review and meta-analysis
Zorman, Mark , Vibhishanan, Jonathan , Dangas, Katerina, Castle, James , Li, Ka Hou Christien , Coronelli, Marco , Eastwick-Jones, Kate , Swan, Alexander, Johnson, N M, Choksey, Anurag , Scott, Sam G.C., Henry, Matthew , Cassar, Mark Philip , Barnes, C. , Ferreira‐Martins, João , Newton, James D. , Alkhouli, Mohamad , Rihal, Charanjit S. , Eleid, Mackram F. , Zorman, Mark J , Newton, James , Dawkins, Sam , Rihal, Charanjit, Eleid, Mackram F , Sabbah, Michael S. , Swan, Alexander, Johnson, Nicky, Yan, Helen H.N. , Barnes, Cara, Alkhouli, Mohamad , Rihal, Charanjit S. , Pislaru, Sorin V. , Guerrero, Mayra , Ordóñez-Mena, José Manuel , Cahill, Thomas J.

European Heart Journal - Cardiovascular Pharmacotherapy | February 2, 2025 | Volume: 11 | Issue: 3 | Pages: 251-263

10.1093/ehjcvp/pvaf005 | PMID 39904549 Get It

Abstract Aims Transcatheter mitral valve replacement (TMVR) has become a feasible alternative to surgical mitral valve replacement (SMVR) in selected patients at high surgical risk. The risk of valve thrombosis following SMVR and TMVR, and the optimal antithrombotic therapy following these procedures, remains uncertain. We aimed to compare the incidence of bioprosthetic mitral valve thrombosis (bMVT) after SMVR and TMVR, and the incidence of bMVT between patients on different antithrombotic regimens. Methods and results A literature search of Medline, Embase, and Cochrane Library was performed between January 2000 and August 2024. Random-effects models were used to derive pooled estimates of the incidence of bMVT in the absence of prior or active endocarditis and valve thrombosis. A total of 47 studies (6170 patients, total follow-up 9541.8 patient-years) were eligible for inclusion. The overall incidence of bMVT was 5.05 [95% confidence interval (CI) 3.18–8.01, I2 = 82%] per 100-patient-years. Subclinical bMVT was more common than clinically significant bMVT: incidence 19.11 vs. 7.91 per 100-patient-years, adjusted incidence rate ratio (aIRR) 4.62 (95% CI 1.39–15.36), P = 0.012. bMVT was numerically more common after TMVR than SMVR, but the comparison was not statistically significant: incidence 7.03 vs. 0.58 per 100-patient-years, aIRR 2.19 (95% CI 0.72–6.72), P = 0.170. Patients on vitamin-K antagonists (VKA) had a lower incidence of bMVT than patients on direct oral anticoagulants (DOAC; incidence 5.72 vs. 17.08, aIRR 0.31, 95% CI 0.13–0.73, P = 0.007). Conclusions bMVT is not uncommon, with numerically higher incidence in transcatheter compared to surgical valves, but the comparison was not statistically significant. VKAs are associated with a lower incidence of bMVT compared to DOACs.
A hitchhiker’s guide to cerebrospinal fluid biomarkers for neuro-oncology
Riviere-Cazaux, Cécile , Keough, Michael B. , Schulz, Sebastian C, Warrington, Arthur E. , Ruff, Michael W. , Sanai, Nader , Campian, Jian , Kizilbash, Sani H. , Zadeh, Gelareh , Khasraw, Mustafa , Kessler, Tobias , Cahill, Daniel P. , Mansouri, Alireza , Kizilbash, Sani H , Zuccato, Jeffrey , Kumar, Rahul Robaish , Schulz, Sebastian C, Ellingson, Benjamin M. , Parney, Ian F. , Khasraw, Mustafa , Sener, Uğur , Mansouri, Alireza , Burns, Terry C.

Neuro-Oncology | December 27, 2024 | Volume: 27 | Issue: 5 | Pages: 1165-1179

10.1093/neuonc/noae276 | PMID 39786477 Get It

Abstract Cerebrospinal fluid (CSF) has emerged as a valuable liquid biopsy source for glioma biomarker discovery and validation. CSF produced within the ventricles circulates through the subarachnoid space, where the composition of glioma-derived analytes is influenced by the proximity and anatomical location of sampling relative to tumor, in addition to underlying tumor biology. The substantial gradients observed between lumbar and intracranial CSF compartments for tumor-derived analytes underscore the importance of sampling site selection. Moreover, radiographic features, such as tumor-CSF contact and blood-brain barrier disruption, are critical covariates that may affect biomarker detection and the abundance of plasma-derived analytes in CSF, respectively. Longitudinal intracranial CSF sampling, enabled by access devices like Ommaya reservoirs, may offer a window into treatment response and disease progression, though variability in analyte yield, sample volumes, and the dynamic effects of surgical resection pose challenges. This review critically evaluates the anatomic, radiographic, and longitudinal factors, or “time-space continuum,” that impact glioma CSF biomarker abundance. Practical considerations for longitudinal CSF biobanking, including access device placement and collection, are also reviewed. Key takeaways and recommendations for CSF glioma biomarker discovery and validation are provided as a “hitchhiker’s guide” based on our collective experience, along with resources for investigators aiming to develop CSF biobanking at their institutions.
BIOM-12. ALLIANCE A071401: GENOMICALLY GUIDED PHASE II TRIAL OF ABEMACICLIB IN PATIENTS WITH GRADE 2/3 MENINGIOMAS HARBORING SOMATIC NF2 OR CDK PATHWAY ALTERATIONS
Dooley, Katharine , Geyer, Susan M. , Gerstner, Elizabeth R. , Iafrate, A. John , Welch, Mary , Chan, Amy, Kumthekar, Priya , Matsuoka, Carlos Kamiya , Strowd, Roy, Cohen, Adam L. , Jaeckle, Kurt A. , Robell, Lindsay, Magge, Rajiv , Nam, Joo Yeon , Blondin, Nicholas, Shaikh, Nawal , Rabinowitz, Ian , Thomas, Alissa A. , Barker, Frederick G., Brastianos, Priscilla K. , Kaufmann, Timothy J. , Martinez‐Lage, Maria , Milhem, Mohammed , Kaley, Thomas , Drappatz, Jan , Cahill, Daniel P. , Santagata, Sandro , Galanis, Evanthia

Neuro-Oncology | November 11, 2024 | Volume: 26 | Issue: Supplement_8 | Pages: viii21-viii21

10.1093/neuonc/noae165.0085 Get It

Abstract BACKGROUND Patients with meningiomas that have progressed after surgery and/or radiation have limited treatments. Loss of NF2 and CDKN2A/B are common in higher-grade meningiomas and promote meningioma progression. We evaluated the efficacy of abemaciclib, a cyclin-dependent kinase (CDK) 4/6 inhibitor, as part of Alliance A071401, a genomically-driven phase II trial in recurrent or progressive meningiomas. METHODS Eligible patients (pts) with grade 2/3 tumors and NF2 mutations or CDK pathway alterations were treated with abemaciclib 200 mg orally twice daily. Two co-primary endpoints were used: progression-free survival at 6 months (PFS6) and response rate (RR); the trial would be declared positive if either endpoint was met. Twenty-four evaluable pts provided ≥85% power to detect a PFS6 ≥41.5% (vs. null 15%; alpha=0.02), and ≥89% power to detect RR ≥20% (vs. null 2.5%; alpha=0.021). RESULTS Of 83 pts screened while the abemaciclib arm was open between September 15, 2021 and October 3, 2022, 36 eligible pts received abemaciclib. The observed PFS6 rate in the first 24 evaluable pts was 54% (95% CI 33-75%), thus the study met PFS6 endpoint. Of all 35 evaluable pts, median PFS was 7.6 months (95% CI 3.6-17.1 months), estimated 6-month PFS was 55% (95% CI 40-75%) and estimated 6-month OS was 88% (95% CI 77-100%). No objective responses were observed. Of the 36 pts who started treatment, two had a grade 4 adverse event at least possibly related to treatment which included ALT elevation(1), AST elevation(1) and vomiting(1). Patients with NF2 alterations (n=24) had favorable PFS6 outcomes (58%, 95% CI 37-78%) compared to those with CDK (n=4, 25%, 95% CI 1-81%) and CDK+NF2 alterations (n=7, 29% 95% CI 4-71%), (Fisher’s Exact p=0.036). CONCLUSIONS Abemaciclib was well-tolerated and resulted in improved PFS6, meeting the trial’s co-primary endpoint. Abemaciclib warrants further investigation for the treatment of patients with progressive meningiomas.
A world-wide study on delirium assessments and presence of protocols
Nydahl, Peter , Liu, Keibun , Bellelli, Giuseppe , Calle, Gabi Heras-La, Hoffmann, Magdalena , Jeitziner, Marie‐Madlen , Krewulak, Karla D. , Paulino, Maria Carolina , Haken, Rebecca von , Group, the WDAD Study, Abdalgany, Ahmed Gaber Ahmed, Aburaas, Amjad, Albakosh, Bashir Abobaker, Alhamdan, Hamza Ismail Ahmad, Aljbali, Akram Waled Rajab M, Al-Kandari, Fareeda, Anders, Daniel, Anderson, Marsali, Ashkenazy, Shelly , Avelino, Thiago, Bail, Kasia , Bakri, Ashraf , Baroum, Alaa Mohamed Ali , Brendt-Müller, Jennifer, Brobeil, Angelika, Byrnes, Tru , Cahill, Maria, Canelas, Maria Ana , Carroll, Ida, Conley, Amy, Cotton, Shannon A. , Couser, Mandy, Salgado, A., Cusworth, Elizabeth, Cvoro, Vera , Deosaran, Jordanna, Diebels, Merel, Docherty, Elaine A, Dossow, Vera von , Drennan, Megan, Egdeer, Akram Amin, Eichelsheim, Patrick, Elagili, Aissha Ali Saleh, Elsahl, Saifaleslam Jamal, Elshaikh, Hajer Alsadeg Mohammed, Fathi, Azza , Feige, Melanie, Fiest, Kirsten M. , Fong, Marleta Irene Joy, Fuchita, Mikita , Gaffney, Carol, Vich, Carola Giménez-Esparza, Feldmann, Nicole , Fitzpatrick, Neasa , Fong, Marleta Irene Joy, Goldberg, María Adela , Golüke, Nienke M.S. , Graaf, Marinette van der , Groenewald, Engelina , Gross, Renate , Segers, Camilla Grube, Hadi, Renate, Hamdan, Qusai Ahmad Hasan, Hamida, Bahaeddin Ben, Hamza, Monalyce, Hopkins, Jane , Hopkins, John , Jeyaseelan, Arveen , Kadhim, Ali Jawad, Kohler, S., Kooken, Rens , Khutwah, Ayman Salim Abu, Lange, Puck, Liefrink, Sharon, Lin, Yu‐Min , Loo, Shi Pei , Rodrigues, Sara Beatriz Lopes, MacDonald, Allan S., Madders, G, Massaro, Claudia, Maya, Kerri, Manioudaki, Sofia, Stewart, McKenna, Coimbra, Isabel , Miranda, Teresa, Mohamed, Mohamed A. , Mohammed, Mushin Mohammed Elhadi Agbna, Naeem, Fariha , Nam, Mi-Ryeo, Newman, Elaine, Nicol, Renae, Noonan, Claire, Lopes, Maria Inês, Otmani, Zina , O’Reilly, Susan, Ozorio, Valerie, Palakashappa, Jessica, Pandya, Tej , Papadea, Panagiota, Papanikolaou, Metaxia, Pinardi, Elena , Pereira, Inês Filipa Pinto, Premathilaka, Chirantha , Pop‐Purceleanu, Monica , Puchegger, Marlene, Qalhoud, Nouralddeen Mohammed, Raasing, Maike, Ragheb, Dalia Talaat, Ramadan, Nuri, Rubel, Mushabbir Hossain, Sainsbury, Kate, Schimböck, Florian , Schmädig, Roman , Schoon, Yvonne , Sethia, Deepak , Sextl, Edith, Shah, Bhagyesh , Shaout, Dua’a, Sharabi, Alaa Fouad, Shields, Lynn, Smith, Kendall A. , Dam, Linda Smulders-van, Soiza, Roy L. , Spiegler, Andrea, Stocks, Lucy, Sumerauer, Stefan, Tam, Stephanie , Tan, Aik Haw, Tohsche, Peter, Torres, Raquel Gouveia, Toth, Chantal, Tousgaard, Iben, Vogt, Birgit, Walsh, Erica M., Ward‐Stockham, Kristel , Mart, Melinda Webb‐St, Wijnen-Meijer, Mariajne Elisabeth, Zastrow, Inke , Nydahl, Peter , Jeitziner, Marie-Madlen , Krewulak, Karla D , Benbenishty, Julie Sarah , Boogaard, Mark van den , Caplan, Gideon A. , Chung, Chi Ryang , Elhadi, Muhammed , Gurjar, Mohan , Mailhot, Tanya , Morandi, Alessandro , Nawa, Ricardo Kenji , Oh, Esther S , Collet, Marie Oxenbøll , Lindroth, Heidi , Group, the WDAD Study, Abdelmohsen, Sarah Magdy , Aggar, Christina , Alkandari, Farah, Alkaseek, Akram Mohammed , Anders, Daniel, Anderson, Marsali, Blackwood, Bronagh , Brendt-Müller, Jennifer , Burke, Richard, Cacciatore, Stefano , Cahill, Maria, Conley, Amy, Costello, Maria , Diebels, Merel, Elshaikh, Hajer Alsadeg Mohammed, Emme, Christina , Exl, Matthias Thomas , Fong, Marleta Irene Joy, Gaffney, Carol, Fitzgerald, Rachel, Fong, Marleta Irene Joy, Graaf, Mirjam, Segers, Camilla Grube, Hadi, Renate, Hamdan, Qusai, Hetland, Breanna , Hopkins, Jane Adele, Ibrahim, Said A. , Imbrìaco, Guglielmo , Inoue, Shigeaki , Kadhim, Ali Jawad, Kohler, Sabrina, Korompeli, Anna , Krüger, Lars , Lange, Puck, Rodrigues, Sara Beatriz Lopes, MacDonald, Allan, McAndrew, Natalie S. , Mohamed, Mohamed Anwar Abdelsalam, Mohammed, Mushin Mohammed Elhadi Agbna, Mulkey, Malissa , Nakamura, Kensuke , Nam, Mi-Ryeo, Newman, Elaine, Nicol, Renae, Olotu, Cynthia , Ornago, Alice Margherita , O’Reilly, Susan, Penfold, Rose , Pereira, Inês Filipa Pinto, Quinn, Terence J , Raasing, Maike Wm, Rajhans, Prasad Anant , Ramadan, Nuri, Rubel, Mushabbir Hossain, Sainsbury, Kate, Salis, Francesco , Sharabi, Alaa Fouad, Smith, Kendall, Tam, Stephanie, Timmons, Suzanne , Torres, Raquel Gouveia, Tsolaki, Vasiliki , Castro, Roberta Esteves Vieira de , Vogt, Birgit, Walsh, Erica, Wefer, Franziska , Wøien, Hilde , Zazzara, Maria Beatrice

Age and Ageing | June 12, 2024 | Volume: 53 | Issue: 7 | Pages: No page available

10.1093/ageing/afae129 | PMID 38952186 Get It

Abstract Background Delirium is a common complication of older people in hospitals, rehabilitation and long-term facilities. Objective To assess the worldwide use of validated delirium assessment tools and the presence of delirium management protocols. Design Secondary analysis of a worldwide one-day point prevalence study on World Delirium Awareness Day, 15 March 2023. Setting Cross-sectional online survey including hospitals, rehabilitation and long-term facilities. Methods Participating clinicians reported data on delirium, the presence of protocols, delirium assessments, delirium-awareness interventions, non-pharmacological and pharmacological interventions, and ward/unit-specific barriers. Results Data from 44 countries, 1664 wards/units and 36 048 patients were analysed. Validated delirium assessments were used in 66.7% (n = 1110) of wards/units, 18.6% (n = 310) used personal judgement or no assessment, and 10% (n = 166) used other assessment methods. A delirium management protocol was reported in 66.8% (n = 1094) of wards/units. The presence of protocols for delirium management varied across continents, ranging from 21.6% (on 21/97 wards/units) in Africa to 90.4% (235/260) in Australia, similar to the use of validated delirium assessments with 29.6% (29/98) in Africa to 93.5% (116/124) in North America. Wards/units with a delirium management protocol [n = 1094/1664, 66.8%] were more likely to use a validated delirium test than those without a protocol [odds ratio 6.97 (95% confidence interval 5.289–9.185)]. The presence of a delirium protocol increased the chances for valid delirium assessment and, likely, evidence-based interventions. Conclusion Wards/units that reported the presence of delirium management protocols had a higher probability of using validated delirium assessments tools to assess for delirium.
Social Determinants of Health and Redirection of Care for Infants Born Extremely Preterm
Bann, Carla , Vohr, Betty R. , McGowan, Elisabeth C. , Harmon, Heidi M. , Hintz, Susan R. , Duncan, Andrea F. , Polin, Richard A. , Laptook, Abbot R. , Mayne, Julie, Lamberson, Vita, Keszler, Mary Lenore, Hensman, Angelita M. , Vieira, Elisa , Pierre, Lucille St., Burke, Robert T., Alksninis, Barbara, Leach, Teresa M., Knoll, Andrea M., Moffat, Stephanie, Newman, Nancy S., Wilson-Costello, Deanne E. , Siner, Bonnie S., Friedman, Harriet, Truog, William E., Pallotto, Eugenia K. , Kilbride, Howard W. , Gauldin, Cheri, Holmes, Anne, Johnson, Kathy, Scott, Allison, Parimi, Prabhu S., Gaetano, Lisa, Merhar, Stephanie L. , Schibler, Kurt, Poindexter, Brenda B. , Cahill, Tanya E., Dudley, Juanita , Gratton, Teresa L., Grisby, Cathy, Henkes, Lisa, Kirker, Kristin, Stacey, Sara, Wuertz, Sandra, Cotten, C. Michael , Goldberg, Ronald N., Goldstein, Ricki F., Malcolm, William , Ashley, Patricia L., Mago-Shah, Deesha, Finkle, Joanne, Fisher, Kimberley A. , Gustafson, Kathryn E. , Bose, Carl , Bernhardt, Janice, Bose, Gennie, Clark, Cindy, Wereszczak, Janice, Warner, Diane, Talbert, Jennifer, Kicklighter, Stephen D. , Bentley, Alexandra, Edwards, Laura , Rhodes-Ryan, Ginger, Carlton, David P., Loggins, Yvonne, Adams‐Chapman, Ira , Bottcher, Diane I., Carter, Sheena L., Hale, Ellen C., Kendrick-Allwood, Salathiel, Laursen, Judith, LaRossa, Maureen Mulligan, Mackie, Colleen, Sanders, Amy , Smikle, Gloria V., Wineski, Lynn, Walsh, Michele C. , Bremer, Andrew A. , Higgins, Rosemary D. , Archer, Stephanie Wilson , Sokol, Gregory M. , Papile, L.A., Herron, Dianne E., Hines, Abbey C. , Lytle, Carolyn, Smiley, Lucy, Wilson, Leslie Dawn, Watkins, Donna, Gunn, Susan, Joyce, Jeff, Tyson, Jon E., Kennedy, Kathleen A. , Mosquera, Ricardo A. , Eason, Elizabeth, Stephens, Emily K. , Alaniz, Nora I., Allain, Elizabeth, Arldt-McAlister, Julie, Boricha, Fatima, Burson, Katrina, Garcia, Carmen, Hall, Donna J., John, Janice , Jones, Patrick M., Lillie, M. Layne, Mason, Carrie M., Martin, Karen , Martin, Sara C., McDavid, Georgia E., McKee, Shannon L. , Poe, Michelle, Rennie, Kimberly , Reddy, Tina, Rodgers, Shawna, Siddiki, Saba Khan, Sperry, Daniel K., Tate, Patti L. Pierce, Wright, Sharon L., Zanger, Dinorah, Jadcherla, Sudarshan R. , Timan, Christopher J., Luzader, Patricia, Batterson, Nancy, Baugher, Hallie, Beckford, Demi R., Burkhardt, Stephanie, Carey, Helen , Chao, Michelle, Cira, Courtney, Clark, Erna, DeSantis, Brittany, Fowler, Aubrey, Gutentag, Julie, Grothause, Jennifer L., Hague, Cole , Levengood, Katelyn, Marzec, Laura, McCool, Jacqueline, Miller, Bethany, Nelin, Mary Ann , Park, Courtney, Purnell, Jessica, Seabrook, Ruth , Shadd, Julie C., Small, Kristi , Stein, Melanie, Sullivan, Margaret, Sullivan, Rox Ann, Warnimont, Kyrstin, Yossef‐Salameh, Lina, Fearns, Erin, Wallace, Dennis, Auman, Jeanette O’Donnell , Gabrio, Jenna, Huitema, Carolyn M. Petrie , Zaterka-Baxter, Kristin M. , Meurs, Krisa P. Van , Chock, Valerie Y. , Stevenson, David K. , Ball, M. Bethany , Bahmani, Dona, Adams, Marian M. , Bentley, Barbara, DeAnda, Maria Elena, DeBattista, Anne M., Earhart, Beth, Huffman, Lynne C. , Krueger, Casey E., Lucash, Ryan E., Proud, Melinda S., Reichert, Elizabeth N., Weiss, Hali E., Williams, R. Jordan , Peralta-Carcelén, Myriam , Collins, Monica V., Cosby, Shirley S., Bailey, Kirstin J., Biasini, Fred J., Chopko, Stephanie A., Domnanovich, Kristy A., Jno-Finn, Chantel J., Ladinsky, Morissa, Moses, Mary Beth, Buie, Cindie, McNair, Tara E., Phillips, Vivien A., Preskitt, Julie , Rector, Richard V., Stringer, Kimberlly, Whitley, Sally, Chapman, Sheree York, Devaskar, Uday, Garg, Meena, Purdy, Isabell B., Chanlaw, Teresa , Geller, Rachel , Johnson, Karen, Eastman, Diane L., Walker, Jacky R., Goeke, Claire A., Schmelzel, Mendi L., Faruqui, Sarah E., Coulter, Brenda J., Schrimper, Bailey M., Jellison, Sydney S., Knosp, L.K., Arnold, Sandra J., Andrews, Haley A., Ellsbury, Dan L., Bass, Donia B., Tud, Tracy L., Baack, Michelle , Richards, Laurie A., Henning, Megan M., Elenkiwich, Chelsey, Broadbent, Megan, Muyden, Sarah Van, Brodkorb, Aimee, Watterberg, Kristi L. , Fuller, Janell, Ohls, Robin K. , Lacy, Conra Backstrom, Hartenberger, Carol, Beauman, Sandra Sundquist , Hanson, Mary, Lowe, Jean, Kuan, Elizabeth, Eichenwald, Eric C. , Abbasi, Soraya, Chaudhary, Aasma S. , Cucinotta, Dara M., Bernbaum, Judy, Gerdes, Marsha , Ghavam, Savin, Hurt, Hallam, Snyder, Jonathan, Ziolkowski, Kristina, Dhawan, Megan , Booth, Lauren, Catts, Christine, D’Angio, Carl T., Guillet, Ronnie , Myers, Gary J. , Reynolds, Anne Marie , Wadkins, Holly I.M., Sacilowski, Michael G., Jensen, Rosemary L., Merzbach, Joan, Zorn, William, Farooq, Osman , Maffett, Dee, Williams, Ashley, Hunn, Julianne, Guilford, Stephanie , Yost, Kelley, Rowan, Mary, Prinzing, Diane, Bowman, Melissa, Reubens, Linda J., Scorsone, Ann Marie, Harley-McAndrew, Michelle, Fallone, Caitlin, Binion, Kyle, Orme, Constance, Sabaratnam, Premini , Jones, Rachel , Boylin, Elizabeth, Rochez, Daisy, Li, Emily, Kachelmeyer, Jennifer , McKee, Kimberly G., Coleman, Kelly R., Moreland, Melissa, Cavanaugh, Brenna, Wyckoff, Myra H. , Heyne, Roy J. , Vasil, Diana M., Adams, Sally S., Chen, Lijun , Leon, Maria Magdalena, Duran, Joanne, Eubanks, Frances, McDougald, Rebecca, Pavageau, Lara, Sepulveda, Pollieanna , Guzman, Alicia, Harrod, M. J. E., Heyne, Elizabeth T., Madden, Linda A., Lee, Lizette E. , Puentez, Anna E., Tolentino-Plata, Kristine , Boatman, Cathy Twell, Vera, Azucena, Waterbury, Jillian, Yoder, Bradley A. , Baserga, Mariana , Faix, Roger G., Minton, Stephen D., Sheffield, Mark J., Rau, Carrie A., Baker, Shawna, Burnett, Jill, Christensen, Susan, Bledsoe, Laura Cole, Cunningham, Sean D. , Davis, Brandy, Elmont, Jennifer O., Hall, Becky, Jensen, Erika R., Loertscher, Manndi C., Marchant, Trisha, Maxson, Earl, McGrath, Kandace M., Mickelsen, Hena G., Morshedzadeh, Galina, Parry, Dilys M. , Reich, Brixen A., Schaefer, Susan T., Stout, Kelly, Stuart, Ashley L., Weaver-Lewis, Kimberlee, Winter, Sarah , Woodbury, Kathryn D., Osborne, Karen A., Bird, Karie, Coleman, Kathleen, Francom, Barbara L., Jordan, Jamie, Steffen, Mike, Tice, Katherine, Shankaran, Seetha , Natarajan, Girija , Pappas, Athina, Sood, Beena G. , Bajaj, Monika , February, Melissa, Agarwal, Prashant , Chawla, Sanjay , Bara, Rebecca, Childs, Kirsten, Woldt, Eunice, Goldston, Laura A., Wiggins, Stephanie A., Christensen, Mary, Carlson, Martha, White, Diane F., Baack, Michelle L , Brumbaugh, Jane E. , Bell, Edward F. , Travers, Colm P. , Carlo, Waldemar A. , Keszler, Martin , Watson, Victoria E. , Hibbs, Anna Maria , Kim, Jae Hong , Yolton, Kimberly , Russell, David G. , Laughon, Matthew Maxwell , White, Donna, Patel, Ravi M. , Stoll, Barbara J. , Sewell, Elizabeth , Maitre, Nathalie L. , (deceased), Jeff Joyce, Khan, Amir M , Rysavy, Matthew A. , Dempsey, Allison G. , White, Michelle, Sánchez, Pablo J. , Slaughter, Jonathan L. , Nelin, Leif Daniel , Yeates, Keith Owen , Fortney, Christine A. , Keim, Sarah A. , Newton, Julia L. , Pietruszewski, Lindsay , Das, Abhik , Gantz, Marie G. , Wiener, Laura Elizabeth , Crawford, Margaret M. , Newman, Jamie E. , Parlberg, Lindsay M. , Taylor, Heather Lee , Ambalavanan, Namasivayam , Colaizy, Tarah T. , Widness, John A. , DeMauro, Sara B. , Schmidt, Barbara Kristina , Kirpalani, Haresh Murli , Mancini, Toni, Lakshminrusimha, Satyan , Kent, Alison , Brion, Luc P. , Leon, Maria M. De, Harrod, Michelle, Parry, D. Melody, Coleman, Kathleen, Barks, John

JAMA Pediatrics | March 11, 2024 | Volume: 178 | Issue: 5 | Pages: 454

10.1001/jamapediatrics.2024.0125 | PMID 38466268 Get It

ImportanceRedirection of care refers to withdrawal, withholding, or limiting escalation of treatment. Whether maternal social determinants of health are associated with redirection of care discussions merits understanding.ObjectiveTo examine associations between maternal social determinants of health and redirection of care discussions for infants born extremely preterm.Design, Setting, and ParticipantsThis is a retrospective analysis of a prospective cohort of infants born at less than 29 weeks’ gestation between April 2011 and December 2020 at 19 National Institute of Child Health and Human Development Neonatal Research Network centers in the US. Follow-up occurred between January 2013 and October 2023. Included infants received active treatment at birth and had mothers who identified as Black or White. Race was limited to Black and White based on service disparities between these groups and limited sample size for other races. Maternal social determinant of health exposures were education level (high school nongraduate or graduate), insurance type (public/none or private), race (Black or White), and ethnicity (Hispanic or non-Hispanic).Main Outcomes and MeasuresThe primary outcome was documented discussion about redirection of infant care. Secondary outcomes included subsequent redirection of care occurrence and, for those born at less than 27 weeks’ gestation, death and neurodevelopmental impairment at 22 to 26 months’ corrected age.ResultsOf the 15 629 infants (mean [SD] gestational age, 26 [2] weeks; 7961 [51%] male) from 13 643 mothers, 2324 (15%) had documented redirection of care discussions. In unadjusted comparisons, there was no significant difference in the percentage of infants with redirection of care discussions by race (Black, 1004/6793 [15%]; White, 1320/8836 [15%]) or ethnicity (Hispanic, 291/2105 [14%]; non-Hispanic, 2020/13 408 [15%]). However, after controlling for maternal and neonatal factors, infants whose mothers identified as Black or as Hispanic were less likely to have documented redirection of care discussions than infants whose mothers identified as White (Black vs White adjusted odds ratio [aOR], 0.84; 95% CI, 0.75-0.96) or as non-Hispanic (Hispanic vs non-Hispanic aOR, 0.72; 95% CI, 0.60-0.87). Redirection of care discussion occurrence did not differ by maternal education level or insurance type.Conclusions and RelevanceFor infants born extremely preterm, redirection of care discussions occurred less often for Black and Hispanic infants than for White and non-Hispanic infants. It is important to explore the possible reasons underlying these differences.
Results from Multisite Implementation of Electronic Health Record Tools for Clinical Pre-Test Probability of Pulmonary Embolism in the Emergency Department
Keenan, Megan , Dykhoff, Hayley J. , Campbell, Kyle N., Hall, Marie Boas, Heaton, Heather A. , Thompson, Kristine M., Aranda, J. A. Veloz, Balgord, Sarah , Rubin, Jonathan M. , Hanson, Ryan , He, Wei , Cahill, Emily , Houghton, Damon E. , Kreuziger, Lisa Baumann , Hall, Marie, Raja, Ali S , Dutta, Sayon , McEvoy, Dustin , Rosovsky, Rachel

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 5067-5067

10.1182/blood-2023-180177 Get It

Introduction: Use of validated risk stratification tools for work up of suspected pulmonary embolism (PE) is an endorsed recommendation of the American Society of Hematology and the American College of Emergency Physicians. Due to variations in clinical practice, electronic health record (EHR) systems, and medical provider trainings, the use, documentation, and implementation of these tools vary widely. Current processes do not allow for electronic capture and quality reporting at most institutions. Methods: We sought to design and implement clinical pre-test probability (PTP) tools at three large healthcare institutions for use in emergency departments (ED). At each site, a hematologist partnered with ED physician leadership and local information technology experts to design and implement PTP tools in clinical workflows. Overall, 38 EDs (high volume tertiary EDs and smaller regional EDs) located in the United States along the East Coast and Midwest regions were involved. A major goal of implementation was integration into clinical workflow and automatic documentation. After design and implementation, awareness and education of the new EHR tool was distributed electronically to ED providers. After implementation, use of PTP tools was analyzed between September 12, 2022 and January 11, 2023. PTP use was examined as percent of visits for which patients underwent CT pulmonary angiography (CTPA). Results: Each institution chose the 3 tier Wells' Score for implementation while one site designed an integrated Wells'/PERC or YEARS score calculator. Two sites implemented the tool as an optional flowsheet and one site implemented the tool as mandatory parameters within the orders for PE imaging studies. The mandatory tool could be bypassed with prespecified selections or if a D-dimer existed within 48 hours . Complete details of the site-specific implementation are shown in Table 1. Over the 4-month evaluation timeframe, there was a total of 270,214 ED encounters. Uptake and utilization of the PTP tools are shown in Table 2. Use of PTP was highest at the site with forced PTP documentation which ranged from 49-53% of ordered CTPAs, compared to Site 2 where use was 2-3%, and Site 1 where use ranged from 1-3%. At Site 1, use of PTP increased slightly over the study period with signs that PE yield on imaging was increasing as well (3.4% to 5.9%). At Site 2, PE yield on imaging was overall high (9-10%), and remained similar with similar use of PTP tools over the study period. Use of PTP and PE yield (6-8%) on imaging also remained similar throughout the study at Site 3. Conclusion: Forced use of PTP within the orders for CTPA led to the highest use of PTP (Site 3) but this did not result in meaningfully higher PE yield on CTPA compared to the other sites. PE yield at each site was at or above the 5% yield for PE on CTPA which has been previously reported. Given that PTP uptake was relatively stable over the measurement period at Site 2 and 3, this indicates the process had mostly stabilized and that other strategies are needed to improve uptake of PTP, reduce utilization of CTPA, and further increase yield on CTPA. Increasing PTP use and rising PE yield at Site 1 demonstrated ongoing potential for improvements past this study timeframe.
Outcomes of Patients with Relapsed/Refractory Lymphoplasmacytic Lymphoma Treated with Venetoclax: A Multicenter Retrospective Analysis
Seif, Sherif , Thapa, Shrinjaya , Zanwar, Saurabh , Cahill, Kirk E. , Treitman, Rachel, Shah, Haikoo, Arora, Shagun , Pongas, Georgios , Winter, Allison , Palomba, Maria Lia, Kapoor, Prashant , Shain, Kenneth H. , Sawalha, Yazeed , Sarosiek, Shayna , Welkie, Rina Li , Major, Ajay , Riedell, Peter A. , Palomba, M. Lia , Grajales‐Cruz, Ariel , Thomas, Sheeba K. , Castillo, Jorge J.

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 3045-3045

10.1182/blood-2023-187237 Get It

Background: Data on the clinical activity of venetoclax (ven) in lymphoplasmacytic lymphoma (LPL) are primarily limited to a phase 2 trial of ven monotherapy for a 2-year duration in 32 patients (pts) with relapsed/refractory IgM LPL who received a median of 2 prior treatments (tx), including 16 pts with prior BTK inhibitors (BTKi) (Castillo et al, JCO 2021). Overall response rate (ORR) was 84% and median progression-free survival (PFS) was 30 months (mos). We report the clinical activity of ven and prognostic factors associated with outcomes in a larger cohort. Methods: We included pts with LPL treated with ven alone at 9 US centers. The primary outcome was ORR, which included minor response (MR), partial response (PR), very good PR (VGPR), and complete response (CR) per IWWM-7. Secondary outcomes included PFS, overall survival (OS), safety of ven, and predictors of ORR, PFS, and OS. Results: Sixty-two pts were included. Twenty pts (32%) received ven on a clinical trial. At ven initiation, median age was 65 years (range 38 - 87) , 61% were male, serum monoclonal (M) protein was IgM in 50 pts (91%) (IgG/IgA in 3 (5%), absent in 2 (4%), missing n=7), median hemoglobin (Hb) was 10.4 g/dL (range 5.7-16.4), and median serum IgM was 2580 mg/dL (range 5-9300). Mutations of MYD88 and CXCR4 were present in 52 (95%; missing n = 7) and 19 (38%; missing n = 12) pts, respectively. Median lines of tx (LOT) before ven was 3 (range 1-11, 58% ≥3) including antiCD20 monoclonal antibody n=54 (87%), BTKi n=48 (77%), proteasome inhibitor n=40 (65%), and bendamustine n=31 (50%). Pts who received ven on a clinical trial were less heavily pretreated (median prior LOT = 1.5, 20% ≥3) compared with pts treated off trial (median prior LOT = 4, 76% ≥3). ORR to prior BTKi was 71% (CR 4%, VGPR 10%, PR 35%, MR 21%) (missing n=5), with a median duration of tx of 14 mos (range 0.5-119). BTKi was stopped due to progressive disease (PD) in 60% and toxicity in 40%. ORR to most recent tx before ven was 58% (CR 3%, VGPR 8%, PR 32%, MR 15%); 21% SD, 7% PD, and 15% missing. BTKi was the most frequently used tx immediately before ven (48%). Six pts (10%) required plasmapheresis up to 30 days before starting ven. Median time from diagnosis to ven initiation was 5.9 years (range 0.3-23). Ven starting dose was 200 mg in 33 pts (55%), 20 mg in 11 (18%), and 100 mg in 10 (17%) (other n=6, missing n=2). Ten pts (17%) were admitted for ven tx initiation. Maximum ven dose was 400 mg in 16 (27%) and 800 mg in 38 pts (63%) (other n=6, missing n=2). ORR to ven (missing n=3) was 73% (95% confidence interval [CI] 63-86%) (CR 2%, VGPR 21%, PR 44%, MR 7%); 23% were refractory (SD 13%, PD 10%). Median time to best response was 4 mos (range 0.5-30). Median time to peak Hb was 5 mos (range 0.1-24) and to nadir serum M protein level was 8 mos (range 0.5-34). With a median follow-up of 21.9 mos (range 2.3-70.4), the median and 3-year PFS were 30.4 mos (95% CI 11.0-38.6) and 40% (95% CI 25-54%), respectively (Figure). Median and 3-year OS were not reached (NR) (95% CI NR-NR) and 83% (95% CI 70-91%), respectively. Lymphoma was the most common cause of death (n=8/11, 73%). In univariable analyses (UVA), tx with ven on a clinical trial was associated with higher ORR (90% vs 64%; odds ratio = 8.67, 95% CI 1.04-72.16, p=.046) and superior PFS (median 39 mos (95% CI, 28.4-NR) vs 11 mos (95% CI 6.4-NR), p=.028) without a significant difference in OS. Other factors evaluated in UVA to assess association with ORR, PFS and OS were age at ven start, response to last prior tx, prior tx with BTKi, and CXCR4 mutation status. Of these, receipt of prior tx with BTKi was associated with inferior PFS (HR=2.7, 95% CI 1.1-6.5, p=.024), whereas age >65 years at ven start (HR=8.6, 95% 1.1-67.8, p=0.042) and receipt of ≥3 prior tx (HR=12.0, 95% 1.5-95.9, p=.019) were associated with inferior OS. Four pts (7%) developed laboratory tumor lysis syndrome (TLS) including 2 (3%) with clinical TLS. TLS occurred at the 400 or 800 mg dose in 3 pts (missing n=1). Ven dose interruptions and/or reductions occurred in 39%. Three pts (5%) had febrile neutropenia. Ven was stopped due to PD in 21 pts (34%), planned tx completion in 15 (24%) (median tx duration = 25 mos, range 24-28), toxicity 6 (10%), and other 4 (6%); 16 pts (26%) remain on ven. Median duration of tx for those who stopped ven was 12 mos (range 1-33). Conclusion: Ven is an effective tx option for pts with relapsed or refractory LPL. Compared with the phase 2 study, ORR and PFS were lower in this cohort of more heavily pretreated pts.
Lack of Standardized Coding Limits Accuracy of Electronic Clinical Quality Measure for Pulmonary Embolism Diagnosis
Keenan, Megan , Dykhoff, Hayley J. , Hall, Marie Boas, Campbell, Kyle N., Cahill, Emily , Hanson, Ryan , He, Wei , Kreuziger, Lisa Baumann , Hall, Marie, McEvoy, Dustin , Dutta, Sayon , Rosovsky, Rachel , Houghton, Damon E.

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 3687-3687

10.1182/blood-2023-180864 Get It

Introduction: ASH Guidelines for diagnosis of pulmonary embolism (PE) start with risk assessment using a pretest probability tool (PTP) followed by D-dimer testing or CT pulmonary angiography (CTPA) depending on risk. We aimed to develop an electronic clinical quality measure (eCQM) to encourage broader use of a validated PTP scoring tool in emergency departments (EDs). The Centers for Medicare & Medicaid Services require reporting of eCQMs which consist of value sets or lists of standardized codes linked to patient data within the electronic health record. We sought to identify a standardized way to identify CTPA and abnormal D-dimer tests using administrative codes (i.e. CPT, LOINC, SNOMEDCT codes) across three institutions. Methods: Value sets identifying CTPA and D-dimers were reviewed from existing eCQMs. Three institutions representing 38 EDs from across the country submitted data from all ED encounters between September 12, 2022 and January 11, 2023. Imaging types were reviewed from each of the CPT codes and LOINC (Logical Observation Identifiers Names and Codes). We determined the number of ED encounters, pre-test probability tool use, and diagnosis of PE using different codes. We calculated sensitivity, specificity, positive and negative predictive value (PPV and NPV, respectively). Results: Over the 4-month study period, 270,214 encounters were identified across 38 EDs. Each institution identified CTPA with site-specific codes (Table 1). The Full CTPA Value Set identified 55% more encounters than the site-specific codes (Full set 15,054/9679 site-specific codes). LOINC code 88322-3 was only used at one site. CPT code 71275 had the best sensitivity and specificity, but still had false positives (PPV 82%) (Table 2). D-dimer values were identified as LOINC code 48065-7 and 91556-1 at Site 1 and 48067-3 at Site 2. SNOMEDCT codes were not used at any site despite being the way other eCQMs identify elevated D-dimer results. Different D-dimer tests with different normal ranges were used at each site. All sites did not have an electronically extractable positive indicator for D-dimer. Conclusion: Due to persistent false positives using CPT Code 71275 for identification of CTPA, using this code would lead to inclusion of patients for whom PTP was not required or recommended. Additionally, coding for an abnormal D-dimer test result are not standardized across institutions. Therefore, administrative codes cannot be used to develop eCQMs whose aim is to evaluate whether CTPA is ordered appropriately based on the PTP risk level and laboratory testing.
Survey of Pulmonary Embolism Risk Stratification Methods in the Emergency Department and Barriers to Electronic Health Record Documentation
Keenan, Megan , Dykhoff, Hayley J. , Hall, Marie Boas, Campbell, Kyle N., Cahill, Emily , Balgord, Sarah , Aranda, J. A. Veloz, Rubin, Jonathan M. , Heaton, Heather A. , Thompson, Kristine M., Rosovsky, Rachel , Houghton, Damon E. , Hall, Marie, Raja, Ali S , Kreuziger, Lisa Baumann

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 3746-3746

10.1182/blood-2023-181446 Get It

Introduction Pulmonary Embolism (PE) is a major cause of morbidity and mortality worldwide. Diagnosis is essential as untreated PE has a 30% mortality rate. Currently, computer tomography pulmonary angiogram (CTPA) is the standard of care to diagnose PE. However, this modality is expensive, exposes patients to radiation and increases risk of contrast induced nephropathy. Furthermore, only 5% of CTPAs performed are positive for PE signifying that many unnecessary tests are being performed. To address this gap, Pre-Test Probability (PTP) tools have been developed to safely exclude patients with low risk of PE and limit iatrogenic harm from over testing. Despite the tools being developed over 20 years ago, they are not widely available in electronic health record (EHR) systems and even when they are built in, uptake remains low. Methods Three large integrated health systems using Epic EHR systems across five states (MA, WI. MN, AZ, FL) built electronic PTP assessments into their EHR systems to safely exclude patients with low risk of PE and limit over testing. Two sites made the PTP optional, and one site made it a forced function (providers were forced to complete PTP prior to ordering CTPA unless a D-dimer result was present in the prior 48 hours). To assess the usability of these EHR tools, the team conducted a survey with ED clinicians across the three test sites. The survey was created to identify which PE risk stratification methods were employed by ED clinicians (EHR embedded PTP tool, apps on their phone, web applications like MDcalc, calculations from memory, or if they relied on clinical gestalt), and to identify barriers to using the EHR embedded PTP. Results Site 1 had 47 respondents, Site 2 had 94 respondents, and Site 3 had 16 respondents. Two key findings emerged from the survey (Figure 1). First, clinicians used a variety of risk stratification approaches and few of them documented their risk assessments in structured fields in the medical record. Second, clinical gestalt was the most used PE risk stratification approach, and this was true across all three test sites. In addition, the health system with a PTP prompt before clinicians could proceed with CTPA orders (Site 3) did not have a higher percentage of clinicians who reported using the EHR embedded tool than sites that did not prompt clinicians to fill in the PTP. Clinicians cited a variety of different barriers to using the EHR embedded PTP tool (Table 1). Conclusion While many clinicians indicated intermittent use of PTP criteria to aid in the diagnosis of PE, risk factors and scores from phone apps, web tools, and calculations from memory are unlikely to be documented in the patient's medical record, which means that they are not accessible to all members of the ED care team and cannot be used for electronic clinical quality measure. The biggest hurdles to increasing the use of structured PTP assessments in the ED setting to safely exclude PE and limit iatrogenic harm from over testing are (1) obtaining buy-in from ED clinicians that the PTP tools provide value over clinical gestalt, at least for a subset of patients who could most benefit, and (2) identifying best practices for incorporating PTP tools into EHR systems that make the tools easier to access and use 3) developing and implementing effective education and awareness programs around the PTP tools. This survey adds to the body of literature on PTP assessments in the ED setting and can help inform further research that is needed to continue to improve the diagnosis of PE. Funding: This project is funded in part by the Gordon and Betty Moore Foundation through Grant GBMF10778 to the American Society of Hematology.