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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.
Treatment of patients with blastic plasmacytoid dendritic cell neoplasm (BPDCN): focus on the use of tagraxofusp and clinical considerations
Pemmaraju, Naveen , Madanat, Yazan F. , Rizzieri, David A. , Fazal, Salman, Rampal, Raajit K. , Mannis, Gabriel N. , Wang, Eunice S. , Foran, James M. , Lane, Andrew A. , Rizzieri, David A , Rampal, Raajit K , Foran, James M , Wang, Eunice S. , Madanat, Yazan , Lane, Andrew A

Leukemia & Lymphoma | February 23, 2024 | Volume: 65 | Issue: 5 | Pages: 548-559

10.1080/10428194.2024.2305288 | PMID 38391126 Get It

Survey of Neonatal Management After Amnioinfusion for Anhydramnios
Bendel‐Stenzel, Ellen , McKenna, Kristin, Chock, Valerie Y. , Lopez, Suzanne M. , Atkinson, Meredith A. , Keiser, Amaris , Miller, Jena L.

JAMA Pediatrics | February 5, 2024 | Volume: 178 | Issue: 4 | Pages: 412

10.1001/jamapediatrics.2023.6403 | PMID 38315476 Get It

This survey study reports on use of renal replacement therapy, hemodynamic support, sedation, neuroimaging, and extracorporeal membrane oxygenation at Renal Anhydramnios Fetal Therapy trial sites for neonates with either bilateral renal agenesis or fetal kidney failure.
Phase 2 study of add-on parsaclisib for patients with myelofibrosis and suboptimal response to ruxolitinib: final results
Yacoub, Abdulraheem , Borate, Uma , Rampal, Raajit K. , Ali, Haris , Gerds, Aaron T. , Kremyanskaya, Marina , Winton, Elliott F., Goel, Swati , Schiller, Gary J. , McCloskey, James, Palmer, Jeanne , Holmes, Houston, Hager, Steven, Assad, Albert , Erickson‐Viitanen, Susan, Zhou, Feng , Gerds, Aaron T , Goel, Swati , Oh, Stephen T , Palmer, Jeanne M , Daver, Naval , Wang, Eunice S. , Hobbs, Gabriela , O'Connell, Casey Lee , Oh, Stephen T. , Daver, Naval

Blood Advances | January 30, 2024 | Volume: 8 | Issue: 6 | Pages: 1515-1528

10.1182/bloodadvances.2023011620 | PMID 38290135 Get It

Abstract Ruxolitinib reduces spleen volume, improves symptoms, and increases survival in patients with intermediate- or high-risk myelofibrosis. However, suboptimal response may occur, potentially because of signaling via the phosphoinositide 3-kinase (PI3K)/protein kinase B pathway. This phase 2 study evaluated dosing, efficacy, and safety of add-on PI3Kδ inhibitor parsaclisib for patients with primary or secondary myelofibrosis with suboptimal response to ruxolitinib. Eligible patients remained on a stable ruxolitinib dose and received add-on parsaclisib 10 or 20 mg, once daily for 8 weeks, and once weekly thereafter (daily-to-weekly dosing; n = 32); or parsaclisib 5 or 20 mg, once daily for 8 weeks, then 5 mg once daily thereafter (all-daily dosing; n = 42). Proportion of patients achieving a ≥10% decrease in spleen volume at 12 weeks was 28% for daily-to-weekly dosing and 59.5% for all-daily dosing. Proportions of patients achieving ≥50% decrease at week 12 in Myelofibrosis Symptom Assessment Form and Myeloproliferative Neoplasms Symptom Assessment Form symptom scores were 14% and 18% for daily-to-weekly dosing, and 28% and 32% for all-daily dosing, respectively. Most common nonhematologic treatment-emergent adverse events were nausea (23%), diarrhea (22%), abdominal pain and fatigue (each 19%), and cough and dyspnea (each 18%). New-onset grade 3 and 4 thrombocytopenia were observed in 19% of patients, each dosed daily-to-weekly, and in 26% and 7% of patients dosed all-daily, respectively, managed with dose interruptions. Hemoglobin levels remained steady. The addition of parsaclisib to stable-dose ruxolitinib can reduce splenomegaly and improve symptoms, with manageable toxicity in patients with myelofibrosis with suboptimal response to ruxolitinib. This trial was registered at www.clinicaltrials.gov as #NCT02718300.
Phase 1 trial of navitoclax and sorafenib in patients with refractory solid tumors with a hepatocellular carcinoma expansion cohort.
Emiloju, Oluwadunni Eunice, Yin, Jun , Koubek, Emily J. , Lou, Yanyan , Seetharam, ­Mahesh , Edelman, Martin Joseph, Jiang, Yixing , Posey, James , Davis, S. Lindsey , Roberts, Lewis R. , Takebe, Naoko , Hendrickson, Andrea E. Wahner , Costello, Brian A. , Roberts, Lewis R , Reid, Joel M. , Borad, Mitesh J. , Edelman, Martin J. , Kaseb, Ahmed O , Gores, Gregory J. , Kaufmann, Scott H. , Hubbard, Joleen M.

Journal of Clinical Oncology | January 22, 2024 | Volume: 42 | Issue: 3_suppl | Pages: 507-507

10.1200/jco.2024.42.3_suppl.507 Get It

507 Background: Navitoclax (ABT-263) is an oral Bcl-2 homology-3 mimetic that binds with high affinity to pro-survival Bcl-2 proteins, resulting in apoptosis. Sorafenib, an oral multi kinase inhibitor inhibits tumor angiogenesis and also promotes apoptosis. The efficacy of either agent alone is limited; however, preclinical studies demonstrate synergy with the combination of navitoclax and sorafenib. Methods: In this phase 1 pharmacokinetic and pharmacodynamic study (NCT01364051), we evaluated the combination of navitoclax and sorafenib in a dose escalation cohort of patients with refractory solid tumors, with an expansion cohort in hepatocellular carcinoma (HCC). The study agents were provided by the Cancer Therapy Evaluation Program at National Cancer Institute under CRADA. Navitoclax and sorafenib were administered continuously on days 1 through 21 of 21-day cycles. The maximum tolerated dose (MTD) was determined using the continual reassessment method. Results: Ten patients were enrolled in the dose escalation cohort and 15 patients with HCC were enrolled in the expansion cohort. Two dose levels were tested, dose level 1 (navitoclax 150 mg daily plus sorafenib 400 mg twice daily) and dose level 2 (navitoclax 200 mg daily plus sorafenib 400 mg twice daily). At dose level 1, one dose limiting toxicity (DLT) [grade 3 aspartate aminotransferase elevation] was observed among 6 patients treated at this dose level. In a cohort of 3 patients treated at dose level 2, two DLTs were observed (grade 3 hypertension, and grade 3 rash), hence dose level 1 was identified as the MTD. Among all patients, the most common grade 3 toxicity was thrombocytopenia (5 patients, 20%): there were no grade 4 or 5 toxicities (Table). Patients received a median of 2 cycles (range 1-36 cycles) and all patients were off study treatment at data cut off. Six patients in the expansion cohort had stable disease, 5 had progressive disease and 4 with unavailable data. There were no partial or complete responses. Drug-drug interaction between navitoclax and sorafenib was not observed. The combination of navitoclax and sorafenib did not increase induction of apoptosis compared with navitoclax alone. Conclusions: Navitoclax plus sorafenib resulted in manageable, but not ideal toxicities for continuous oral administration which precluded dose escalation. The lack of clinical benefit in the HCC expansion cohort does not support further development of this combination for the treatment of advanced HCC. Clinical trial information: NCT01364051 . [Table: see text]
Utilizing quantitative pathologic analysis of digitized images of rectal cancer (RC) to predict response to neoadjuvant therapy (NAT).
Walden, Daniel , Eslinger, Cody , Emiloju, Oluwadunni Eunice, Pfeiffer, Ashlyn , Sonbol, Bassam Bassam, Ahn, Daniel H. , Ness, Andrew, Pai, Reetesh K. , Pai, Rish K. , Storandt, Michael H. , Hagen, Catherine E. , Bekaii‐Saab, Tanios , Ness, Andrew, Wu, Christina , Ou, Fang‐Shu , Hubbard, Joleen M.

Journal of Clinical Oncology | January 22, 2024 | Volume: 42 | Issue: 3_suppl | Pages: 200-200

10.1200/jco.2024.42.3_suppl.200 Get It

200 Background: We developed and validated a quantitative segmentation algorithm (QuantCRC) to predict disease recurrence in stage I-III colorectal cancer patients (pts) based on the analysis of digitized hematoxylin and eosin (H+E) stained pathology slides. In this study, we aim to determine if QuantCRC analysis on pre-treated RC biopsies can predict pathological complete response (pCR) after NAT which include total neoadjuvant therapy (TNT), chemoradiation (CRT) and others. Methods: Stage II-IV RC pts treated with curative intent modalities between 2005-2023 at Mayo Clinic and University of Pittsburgh were evaluated. Eligible pts had pre and post-treatment tissue available for analysis. Clinical characteristics, treatment, and outcome data were extracted from the medical record. QuantCRC extracted 15 features: %tumor, %stroma, tumor:stroma ratio, %TB/PDC, %mucin, %necrosis, %high-grade, %signet ring cells, tumor-infiltrating lymphocytes (TILs) per cm2 of a tumor, %immature stroma (tumor bed), %inflammatory stroma (tumor bed), %mature stroma (tumor bed), %immature (stromal region), %inflammatory (stromal region), and %mature (stromal region). The associations between the QuantCRC features and pCR were evaluated using Wilcoxon rank-sum tests and logistic regression models while adjusting for primary tumor location and NAT. Results: The identified 288 pts had the following demographics: median age 60, 59% male, 52% distal tumor, 42% TNT. Pts who achieved pCR had smaller pre-treatment tumors (p=0.03), higher TILS, and lower %immature (stroma) (Table 1). After multivariable adjustment, higher TILS and lower %immature (stroma) remain to be significantly associated with a higher likelihood of pCR. A higher %mature (stroma) and %mature stroma (tumor bed) were also identified, in multivariable models, to be associated with a higher rate of pCR. NAT protocol and tumor location (proximal vs. distal) were not associated with pCR. Conclusions: The ability to integrate pathological features with AI may allow for personalized treatment. Using this technology, we recognize that patients who harbor a more mature stromal archetype and inflammatory tumor predisposition, are more likely to achieve pCR to conventional NAT. These pathological features are not currently incorporated into risk stratification in RC. Additional validation and integration into current risk stratification methods is warranted. [Table: see text]
Outcomes with immunotherapy between Lynch syndrome vs non-Lynch syndrome microsatellite instability-high colorectal cancer.
Eslinger, Cody , McGary, Alyssa , Walden, Daniel , Emiloju, Oluwadunni Eunice, Ahn, Daniel H. , Sonbol, Bassam Bassam, Zhu, Mojun , Bekaii‐Saab, Tanios , Hubbard, Joleen M. , Wu, Christina

Journal of Clinical Oncology | January 22, 2024 | Volume: 42 | Issue: 3_suppl | Pages: 175-175

10.1200/jco.2024.42.3_suppl.175 Get It

175 Background: Alterations to mismatch repair (MMR) genes such as MLH1, MSH2, MSH6, and PMS2, can lead to microsatellite instability-high (MSI-H) tumors. MMR mutations can be inherited in Lynch syndrome (LS) but can also be a result of de novo alterations resulting in MSI-H malignancies. Treatment with immune checkpoint inhibitors (ICIs) have been shown to improve survival in such patients (pts) compared to systemic chemotherapy. However, there is a paucity of information in the literature with respect to outcomes of pts with germline vs somatic MMR mutations in MSI-H colorectal cancer (CRC). Furthermore, the presence of underlying BRAF mutation confers resistance to chemotherapy in pts with CRC, however data regarding outcomes with immunotherapy in such pts with MSI-H CRC is lacking. Methods: Pt records from the Mayo Clinic (AZ, MN, FL) between 2008-2023 denoted as MSI-H CRC, were included for retrospective review. Pt demographics, treatment courses, and genomic profiles were collected. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method. Outcome differences between sub-groups were accessed with the log rank test and univariate analyses were assessed with Cox-regression. Results: A total of 81 pt records were identified (n = 18 LS, n = 63 non-LS). Stage IV disease was found in 28% of LS pts vs 59% of non-LS pts at diagnosis. Pembrolizumab was the most common ICI selected for metastatic CRC pts for both LS and non-LS pts (65% vs 94%) with median treatment duration for each group 11.7 vs 8.8 months. There were no differences in OS or PFS for any stage between LS vs non-LS. Median OS for all patients was 82 months. For all stage IV patients, median OS was 44 months, and median PFS was 19 months. Interestingly, for stage IV pts treated with immunotherapy, tumors that harbored BRAF V600E mutation (n = 21) vs BRAF wild type (n = 20) had a significantly lower median OS 19 vs 113 months (HR = 2.69, p = 0.043) as well as median PFS 12 vs 95 months (HR = 2.48, p = 0.041). Conclusions: In this study, we found that patient treated with ICIs have similar outcomes in the presence of germline vs. somatic MMR mutations in MSI-H CRC. The presence of an associated BRAF V600E mutation, which occurs in non-LS MSI-H CRC conferred worse outcomes.
Development and Temporal Validation of a Machine Learning Model to Predict Clinical Deterioration
Shaikh, Zohaib, Shen, Tong , Shi, Harvey , Gao, Michael , Nichols, Marshall , Sendak, Mark , Balu, Suresh , Osborne, Karen A., Kumar, Karan R. , Jackson, Kimberly, McCrary, Andrew W. , Li, Jennifer S. , Witt, Daniel, Sendak, Mark P , Foote, Henry P. , Witt, Daniel, Shen, Tong, Ratliff, William, Osborne, Karen, Jackson, Kimberly

Hospital Pediatrics | December 6, 2023 | Volume: 14 | Issue: 1 | Pages: 11-20

10.1542/hpeds.2023-007308 | PMID 38053467 Get It

OBJECTIVES Early warning scores detecting clinical deterioration in pediatric inpatients have wide-ranging performance and use a limited number of clinical features. This study developed a machine learning model leveraging multiple static and dynamic clinical features from the electronic health record to predict the composite outcome of unplanned transfer to the ICU within 24 hours and inpatient mortality within 48 hours in hospitalized children. METHODS Using a retrospective development cohort of 17 630 encounters across 10 388 patients, 2 machine learning models (light gradient boosting machine [LGBM] and random forest) were trained on 542 features and compared with our institutional Pediatric Early Warning Score (I-PEWS). RESULTS The LGBM model significantly outperformed I-PEWS based on receiver operating characteristic curve (AUROC) for the composite outcome of ICU transfer or mortality for both internal validation and temporal validation cohorts (AUROC 0.785 95% confidence interval [0.780–0.791] vs 0.708 [0.701–0.715] for temporal validation) as well as lead-time before deterioration events (median 11 hours vs 3 hours; P = .004). However, LGBM performance as evaluated by precision recall curve was lesser in the temporal validation cohort with associated decreased positive predictive value (6% vs 29%) and increased number needed to evaluate (17 vs 3) compared with I-PEWS. CONCLUSIONS Our electronic health record based machine learning model demonstrated improved AUROC and lead-time in predicting clinical deterioration in pediatric inpatients 24 to 48 hours in advance compared with I-PEWS. Further work is needed to optimize model positive predictive value to allow for integration into clinical practice.
Pivekimab Sunirine (PVEK, IMGN632), a CD123-Targeting Antibody-Drug Conjugate, in Combination with Azacitidine and Venetoclax in Patients with Newly Diagnosed Acute Myeloid Leukemia
Montesinos, Pau , Altman, Jessica K. , Begna, Kebede H. , Lunghi, Monia, Burke, Patrick W. , Walter, Roland B. , Gastaud, Lauris, Sallman, David A. , Pemmaraju, Naveen , Torres, Laura, Oshrine, Benjamin , Du, Yining , Malcolm, Kara E, Sweet, Kendra , Montesinos, Pau , Walter, Roland B , Daver, Naval , Wang, Eunice S. , Martinelli, Giovanni , Roboz, Gail J. , Vyas, Paresh , Platzbecker, Uwe , Advani, Anjali S. , Garciaz, Sylvain , Torres, Laura, Abaza, Yasmin , Chan, Onyee , Kantarjian, Hagop M.

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 2906-2906

10.1182/blood-2023-173413 Get It

Background In unfit patients (pts) with newly diagnosed (ND) AML, long-term survival remains short (mOS 14.7 months) despite improved responses (CR 37% and CR/CRi 66%) with azacitidine (AZA) and venetoclax (VEN) (VIALE-A, DiNardo NEJM 2020). In a pooled analysis of AZA-VEN in ND AML pts with poor risk cytogenetics the response rates were higher in TP53wt pts (CR/CRi 70%) compared with TP53mut pts (CR/CRi 41%) (Pollyea Clin Cancer Res 2022). The measurable residual disease (MRD)-negative rate was 41% in AZA-VEN treated pts in VIALE-A which was associated with improved survival (Pratz JCO 2022). Pivekimab sunirine (PVEK, IMGN632) is a first-in-class antibody-drug conjugate (ADC) comprising a high-affinity CD123 antibody, cleavable linker, and an indolinobenzodiazepine pseudodimer (IGN) payload. The novel IGN payload alkylates DNA and causes single strand breaks without crosslinking (Kovtun Blood Adv 2018). Methods This is an ongoing, open-label, multicenter, Phase 1b/2 study of PVEK in combination with AZA +VEN in adults with ND CD123-positive AML (any CD123+ expression by local flow cytometry or IHC). Pts received the recommended phase 2 dose of PVEK 0.045 mg/kg IV on D7 + AZA 75 mg/m 2 SC or IV daily on D1-7 + VEN up to 400 mg PO daily for 14 to 28 days (based on cohort assignment) in a 28-day cycle. Bone marrow assessment was performed at D14 (cohort 1) or D21 (cohort 2) of cycle 1 to determine VEN duration. The primary endpoints are composite CR rate (CCR [CR+CRh+CRp+CRi]), MRD rate (assessed centrally [Hematologics, Inc.] by flow cytometry; <0.1% defined as negative) and duration of remission. Key secondary endpoints are safety, pharmacokinetics and immunogenicity. Responses were determined using ELN 2017 criteria (with the addition of CRh) and a 14-day post-marrow count recovery window. Results As of July 17, 2023, data is available for 50 ND pts (n=25 per cohort) treated with PVEK+AZA+VEN and are aggregately reported here. The median age was 74 years (range, 46-83), 42% were ≥ 75 years old, 26% had secondary AML, 64% were ELN 2017 adverse risk, and 38% had a TP53mut. The most common non-hematologic treatment-emergent adverse events (TEAE) (all grades [grade 3+]) seen in > 20% of all pts were febrile neutropenia (44% [38%]), constipation (42% [2%]), peripheral edema (36% [4%]), diarrhea (36% [2%]), hypophosphatemia (32% [0%], nausea (28% [4%]), and hypokalemia (24% [2%]). No veno-occlusive disease (VOD) events were reported. In responders, the median time to achieve absolute neutrophil count ≥500/µL and platelet count ≥50,000/µL was 35.5 days (range, 20-55) and 22 days (range, 20-55), respectively. The median post-remission cycle delay (beyond cycle day 28) was 14 days. Two pts discontinued PVEK due to a TEAE (edema; marrow aplasia). The 60-day mortality was 4%. In the ITT population (N=50) the CR rate was 52% (26/50), and the CCR rate was 66% (33/50). In pts ≥ 75 years old, the CCR rate was 76% (16/21). In pts known to be TP53wt, both the CR and CCR rate was 88% (22/25). Additional response subsets in Table 1. Twenty-one pts received 9-14 days of VEN, 9 pts received 15-21 days of VEN and 20 pts received ≥ 22 days of VEN in cycle 1; of those who received ≤ 14 days of VEN the CR rate was 71% (15/21) and the CCR rate was 76% (16/21). Of the 26 pts who achieved CCR and had an MRD-evaluable sample, 73% (19/26) achieved MRD negativity (CCR MRD-, <0.1% residual blasts); notably all had undetectable MRD levels (lower level of detection is 0.02%). MRD-negativity was achieved rapidly with a median of 1.7 months (range, 0.8-4.5). CCR MRD- rates were high across major molecular subsets, including FLT3 (ITD/TKD) at 100% (7/7), IDH1/2 at 89% (8/9), and NPM1 at 89% (8/9), as well as ELN risk groups (intermediate 80% [8/10]; adverse 64% [9/14]). Conclusion With a manageable safety profile in pts with ND AML, the PVEK+AZA+VEN triplet demonstrated anti-leukemia activity with robust CR rates and early MRD negative responses in a cohort enriched for adverse disease characteristics (64% ELN adverse risk; 38% TP53mut). Encouraging CCR MRD- rates were observed across cytogenetic/molecular subsets, and the majority of responding pts achieved early and deep remissions, which may translate to improved clinical outcomes. The regimen was well tolerated with no new safety signals, and the addition of PVEK to the AZA-VEN backbone did not appear to meaningfully prolong count recovery.
The incidence of adverse outcome in donors after living donor liver transplantation: A meta-analysis of 60,829 donors
Xiao, Jieling , Zeng, Rebecca Wenling , Tan, Darren Jun Hao , Yong, Jie Ning , Fu, Clarissa Elysia , Tay, Phoebe Wen Lin , Ong, Christen En Ya , Ong, Elden Yen Hng, Chung, Charlotte Hui , Lee, Shi Yan, Koh, Jia Hong, Teng, Margaret , Prakash, Sameer , Tan, Eunice X. , Danpanichkul, Pojsakorn , Siddiqui, Mohammad Shadab , Kow, Alfred Wei Chieh , Ng, Cheng Han , Muthiah, Mark D , Danpanichkul, Pojsakorn , Lim, Wen Hui , Syn, Nicholas L. X. , Tan, Eunice Xiang Xuan , Wijarnpreecha, Karn , Kulkarni, Anand V. , Liu, Ken , Huang, Daniel Q. , Ng, Cheng Han

Liver Transplantation | November 28, 2023 | Volume: 30 | Issue: 5 | Pages: 493-504

10.1097/lvt.0000000000000303 | PMID 38015449 Get It

The scarcity of liver grafts has prompted developments in living donor liver transplantations (LDLT), with previous literature illustrating similar outcomes in recipients compared to deceased donor transplants. However, significant concerns regarding living donor morbidity and mortality have yet to be examined comprehensively. This study aims to provide estimates of the incidence of various outcomes in living liver donors. In this meta-analysis, Medline and Embase were searched from inception to July 2022 for articles assessing the incidence of outcomes in LDLT donors. Complications in the included studies were classified into respective organ systems. Analysis of incidence was conducted using a generalized linear mixed model with Clopper-Pearson intervals. Eighty-seven articles involving 60,829 living liver donors were included. The overall pooled incidence of complications in LDLT donors was 24.7% (CI: 21.6%–28.1%). The incidence of minor complications was 17.3% (CI: 14.7%–20.3%), while the incidence of major complications was lower at 5.5% (CI: 4.5%–6.7%). The overall incidence of donor mortality was 0.06% (CI: 0.0%–0.1%) in 49,027 individuals. Psychological complications (7.6%, CI: 4.9%–11.5%) were the most common among LDLT donors, followed by wound-related (5.2%, CI: 4.4%–6.2%) and respiratory complications (4.9%, CI: 3.8%–6.3%). Conversely, cardiovascular complications had the lowest incidence among the subgroups at 0.8% (CI: 0.4%–1.3%). This study presents the incidence of post-LDLT outcomes in living liver donors, illustrating significant psychological, wound-related, and respiratory complications. While significant advancements in recent decades have contributed towards decreased morbidity in living donors, our findings call for targeted measures and continued efforts to ensure the safety and quality of life of liver donors post-LDLT.