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1784 citation(s) found for "K, Rebecca".

The PUG Flap: Conjoined Profunda Artery Perforator and Upper Gracilis Flap for Breast Reconstruction
Abdulwadood, Isra , Jarvis, Nicholas R. , Winocour, Sebastian, Rebecca, Alanna M. , Casey, William J., Reece, Edward M., Pflibsen, Lacey R.

Plastic and Reconstructive Surgery - Global Open | March 25, 2024 | Volume: 12 | Issue: 3 | Pages: e5544

10.1097/gox.0000000000005544 | PMID 38528848 Get It

Summary: Abdominal-based free flaps are the mainstay of autologous breast reconstruction; however, the region may not be ideal for patients with inadequate soft tissue or history of abdominal surgery. This case describes the use of a novel conjoined flap based on the profunda artery perforator and upper gracilis pedicles, named the perforator and upper gracilis (PUG) flap. This flap design aims to maximize medial thigh flap volume while ensuring robust tissue perforation. Here, we present our experience with the PUG flap in a breast cancer patient undergoing autologous reconstruction. The patient was a 41-year-old woman seeking nipple-sparing mastectomy and immediate autologous reconstruction with the PUG flap due to limited abdominal tissue availability. The gracilis and profunda artery perforator flaps were elevated using one boomerang-style skin paddle. Once harvested, the flaps were inset with antegrade and retrograde flow off the internal mammary arteries and both respective internal mammary veins. The donor site was closed in a V-Y pattern resulting in a thigh lift–type lift and concealed scar. In conclusion, the boomerang-style PUG flap maximizes medial thigh free tissue transfer volume, offers internal blood flow redundancy, and maintains good cosmesis of the donor site.
Oncolytic varicella-zoster virus engineered with ORF8 deletion and armed with drug-controllable interleukin-12
Jiang, Haifei , Nace, Rebecca A., Carrasco, Talia Fernandez, Zhang, Lianwen , Peng, Kah Whye, Nace, Rebecca, Whye Peng, Kah

Journal for ImmunoTherapy of Cancer | March 25, 2024 | Volume: 12 | Issue: 3 | Pages: e008307

10.1136/jitc-2023-008307 | PMID 38527762 Get It

Background The varicella-zoster virus (VZV), belonging to the group of human α-herpesviruses, has yet to be developed as a platform for oncolytic virotherapy, despite indications from clinical case reports suggesting a potential association between VZV infection and cancer remission. Methods Here, we constructed oncolytic VZV candidates based on the vaccine strain vOka and the laboratory strain Ellen. These newly engineered viruses were subsequently assessed for their oncolytic properties in the human MeWo melanoma xenograft model and the mouse B16-F10-nectin1 melanoma syngeneic model. Results In the MeWo xenograft model, both vOka and Ellen exhibited potent antitumor efficacy. However, it was observed that introducing a hyperfusogenic mutation into glycoprotein B led to a reduction in VZV’s effectiveness. Notably, the deletion of ORF8 (encodes viral deoxyuridine triphosphatase) attenuated the replication of VZV both in vitro and in vivo, but it did not compromise VZV’s oncolytic potency. We further armed the VZV Ellen-ΔORF8 vector with a tet-off controlled mouse single-chain IL12 (scIL12) gene cassette. This augmented virus was validated for its oncolytic activity and triggered systemic antitumor immune responses in the immunocompetent B16-F10-nectin1 model. Conclusions These findings highlight the potential of using Ellen-ΔORF8-tet-off-scIL12 as a novel VZV-based oncolytic virotherapy.
Abstract 1878: CTPS1: An unexplored vulnerability in breast and ovarian cancer
Wang, Xiyin , Emch, Michael J. , Voll, Lauren, Russell, Rebecca A , Rodman, Esther , Pearson, Nicole A, Hou, Xiaonan , Weroha, Saravut J., Hawse, John R. , Russell, Rebecca, Kaufmann, Scott H. , Beer, Philip

Cancer Research | March 22, 2024 | Volume: 84 | Issue: 6_Supplement | Pages: 1878-1878

10.1158/1538-7445.am2024-1878 Get It

Abstract Breast and ovarian cancer represent the most common cancer types in women worldwide and are among the top fatal cancers. Despite the use of cytotoxic chemotherapy and targeted agents, recurrence is frequent and survival rates for patients with advanced metastatic disease are dismal. These realities highlight the need to identify novel biomarkers and therapeutic vulnerabilities in such tumors and to develop alternative treatment strategies. We took an unbiased approach to tackle this problem in which we leveraged publically available (DepMap) and in-house generated genome-wide CRISPR screens conducted in over 1000 cancer cell lines. We initially focused on the identification of essential genes that were unique to triple-negative breast cancer (TNBC) cells and whose expression levels were associated with worse patient outcomes. This interrogation revealed six genes (CTPS1, RHOA, PRKRA, RAD9A, HUS1, and RAD1) meeting these initial criteria. The essentiality of these genes was validated using gene-specific siRNAs in a panel of TNBC cells and knockdown of CTPS1 was shown to elicit the most inhibitory effect. CTPS1 depletion resulted in a rapid S-phase cell cycle arrest followed by apoptosis, not only in TNBC cells but also in highly aggressive ovarian cancer cells which share many molecular features with TNBC. CTPS1 converts uridine triphosphate to cytidine triphosphate, forming an essential nucleic acid required for multiple cellular processes. CTPS1 mRNA expression was substantially elevated in tumor vs. normal tissue, for both breast and ovarian cancer. Using over 40 breast and ovarian cancer cell lines, RT-PCR analyses confirmed increased expression of CTPS1 in TNBC and most ovarian cancer cell lines compared to other disease sub-types and “normal” cell line/tissue controls. Interestingly, chemoresistant and PARP inhibitor-resistant models exhibited the highest levels of CTPS1 among all cells analyzed. We subsequently identified and acquired STP938, a first-in-class highly selective CTPS1 inhibitor being developed by Step-Pharma. STP938 was found to elicit potent anti-cancer effects at nM concentrations across many cell line and patient-derived models, in both 2D and 3D culture systems. RNAseq analysis in aggressive cell line models following STP938 treatment or CTPS1 knockdown revealed significant regulation of genes related to DNA replication and the cell cycle pathways suggesting that combinatorial/sequential treatments of STP938 with replication stress/DNA damage response related drugs may be synergistic. STP938 is currently being developed for the treatment of lymphoma, and our findings support the repurposing of STP938 for breast and ovarian cancer, an avenue that we are currently developing. Citation Format: Xiyin Wang, Michael Emch, Lauren Voll, Rebecca Russell, Esther Rodman, Nicole Pearson, Xiaonan Hou, Scott Kaufmann, Saravut Weroha, Philip Beer, John Hawse. CTPS1: An unexplored vulnerability in breast and ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1878.
Abstract 1207: Immune subtyping identifies a subset of HR+HER2- early-stage breast cancer patients with a very high likelihood of response to neoadjuvant immunotherapy (IO): Results from 5 IO arms of the I-SPY2 TRIAL
Nanda, Rita , Chien, Jo, Stringer-Reasor, Erica , Liu, Minetta C. , Soliman, Hatem , Campbell, Michael J. , Barcaru, Andrei, Kuilman, Midas M. , Hirst, Gillian L. , Beineke, Philip, Investigators, I-SPY2, Perlmutter, Jane , Rugo, Hope, Clark, Amy S. , Pohlmann, Paula R. , Veer, Laura van ‘t , Hirst, Gillian L , Pohlmann, Paula , Wolf, Denise M. , Yau, Christina , Pusztai, Lajos , Shatsky, Rebecca , Isaacs, Claudine , Han, Hyo S , Glas, Annuska M. , Mittempergher, Lorenza , Swigart, Lamorna Brown , Yu, Hongmei , Basu, Amrita B , Investigators, I-SPY2, Yee, Douglas , Symmans, W. Fraser , DeMichele, Angela , Delson, Amy , Huppert, Laura Ann , Hylton, Nola M. , Esserman, Laura J. , Veer, Laura J. van’t

Cancer Research | March 22, 2024 | Volume: 84 | Issue: 6_Supplement | Pages: 1207-1207

10.1158/1538-7445.am2024-1207 Get It

Abstract Background: Neoadjuvant immunotherapy (IO) has become standard of care for early-stage triple negative breast cancer (TNBC). I-SPY2 was the first randomized trial to examine the efficacy of IO therapy in high-risk HR+HER2- breast cancer, where most IO arms showed improved efficacy relative to control. We also previously showed immune-gene expression signatures associate with pathologic complete response (pCR) in HR+HER2- treated with IO; and developed a clinically applicable Immune classifier (ImPrint) predicting response to IO that is now being used in I-SPY2.2 as part of the Response Predictive Subtypes. Here we report the performance of ImPrint in HR+HER2- patients from 5 IO arms. Methods: 204 HR+HER2- (MammaPrint high risk) patients from 5 IO arms (anti-PD1, anti-PDL1/PARPi, anti-PD1/TLR9 dual-IO, and anti-PD1 +/- LAG3 dual-IO) and 191 patients from the control arm were included in this analysis. Patients were classified ImPrint+ (likely sensitive) vs. ImPrint- (likely resistant), by Agendia, Inc, using pre-treatment mRNA. Performance of ImPrint for predicting pCR to IO was characterized and compared to that of MammaPrint (ultra) High2 risk (MP2) and tumor grade (III). Based on the DRFS of pCR vs. non-pCR HR+HER2-/ImPrint+ patients (median follow up ~4.5yr), we predicted the DRFS in the IO vs. control arms using an exponential model as a function of the pCR rates. Results: Overall, the pCR rate over the 5 IO arms was 33%. 28% of HR+HER2- patients were ImPrint+; and pCR rates with IO were 76% in ImPrint+ vs. 16% in ImPrint-, with the highest pCR rate >90% in a dual-IO arm. In the control arm, pCR rates were 33% in ImPrint+ and 8% in ImPrint-. Based on the pCR rates in the IO vs. control (76% vs. 33%), the predicted DRFS of HR+HER2-/ImPrint+ patients are 91% vs 80% at 5 years, respectively. This translates to a risk reduction of 52% for the IO arm relative to standard chemotherapy in HR+HER2-/ImPrint+ patients. We also compared MP2 and tumor grade (III) to ImPrint+ as pCR predictors, as these markers have been used or proposed as selection markers for neoadjuvant IO trials in HR+HER2-. The pCR rates for MP2, Grade III, at 56%, 45%, respectively, are much smaller than that for ImPrint+ at 75% pCR; thus ImPrint appears to be a more precise predictive biomarker for neoadjuvant IO therapy in the HR+HER2- breast cancers. Conclusion: These results suggest that a subset of high risk HR+HER2- breast cancers is highly sensitive to immunotherapy, and by using a specific and sensitive selection strategy patients could achieve pCR rates similar to what is seen with best neoadjuvant therapies in TNBC and HER2+ (i.e., pCR rate > 65-70%). ImPrint, an FDA IDE-enabled assay currently being further evaluated in I-SPY2, may represent the way to identify patients for IO that best balances likely benefit vs risk of serious immune-related adverse events. Citation Format: Denise M. Wolf, Christina Yau, Lajos Pusztai, Rita Nanda, Jo Chien, Erica Stringer-Reasor, Rebecca Shatsky, Claudine Isaacs, MInetta Liu, Hyo Han, Hatem Soliman, Michael Campbell, Annuska Glas, Andrei Barcaru, Lorenza Mittempergher, Midas Kuilman, Lamorna Brown Swigart, Gillian Hirst, Hongmei Yu, Philip Beineke, Amrita Basu, I-SPY2 Investigators, Douglas Yee, W. Fraser Symmans, Angela DeMichele, Jane Perlmutter, Amy Delson, Laura Huppert, Hope Rugo, Amy Clark, Nola Hylton, Paula Pohlmann, Laura Esserman, Laura van 't Veer. Immune subtyping identifies a subset of HR+HER2- early-stage breast cancer patients with a very high likelihood of response to neoadjuvant immunotherapy (IO): Results from 5 IO arms of the I-SPY2 TRIAL [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1207.
Impact of hypoxic hepatitis in cardiogenic shock: a substudy of the DOREMI trial
Abdel‐Razek, Omar , Jung, Richard G. , Santo, Pietro Di , Mathew, Rebecca , Hibbert, Benjamin , Hibbert, Benjamin , Abdel-Razek, Omar

European Heart Journal Open | March 21, 2024 | Volume: 4 | Issue: 3 | Pages: No page available

10.1093/ehjopen/oeae024 | PMID 38708291 Get It

Vulvar Cancer, Version 3.2024, NCCN Clinical Practice Guidelines in Oncology
Abu‐Rustum, Nadeem R. , Yashar, Catheryn M. , Barber, Emma L. , Bradley, Kristin , Brooks, Rebecca , Campos, Susana M. , Chino, Junzo , Chon, Hye Sook, Damast, Shari , Fisher, Christine M. , Frederick, Peter J., Gaffney, David K. , Gaillard, Stéphanie , Giuntoli, Robert , Glaser, Scott , Howitt, Brooke E. , Kendra, Kari , Mantia-Smaldone, Gina , Mariani, Andrea , Nagel, Christa , Nekhlyudov, Larissa , Podoll, Mirna, Rodabaugh, Kerry J. , Salani, Ritu , Schorge, John O., Siedel, Jean , Sisodia, Rachel , Soliman, Pamela T. , Ueda, Stefanie , Urban, Renata R. , Wyse, Emily , Zanotti, Kristine , McMillian, Nicole R., Espinosa, Sara, Gaillard, Stéphanie , Arend, Rebecca C. , Crispens, Marta Ann , Holmes, Jordan A. , Lea, Jayanthi Sivasothy , Lee, Nita Karnik , Mutch, David G. , Wethington, Stephanie L.

Journal of the National Comprehensive Cancer Network | March 18, 2024 | Volume: 22 | Issue: 2 | Pages: 117-135

10.6004/jnccn.2024.0013 | PMID 38503056 Get It

Vulvar cancer is annually diagnosed in an estimated 6,470 individuals and the vast majority are histologically squamous cell carcinomas. Vulvar cancer accounts for 5% to 8% of gynecologic malignancies. Known risk factors for vulvar cancer include increasing age, infection with human papillomavirus, cigarette smoking, inflammatory conditions affecting the vulva, and immunodeficiency. Most vulvar neoplasias are diagnosed at early stages. Rarer histologies exist and include melanoma, extramammary Paget’s disease, Bartholin gland adenocarcinoma, verrucous carcinoma, basal cell carcinoma, and sarcoma. This manuscript discusses recommendations outlined in the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for treatments, surveillance, systemic therapy options, and gynecologic survivorship.
How Real Are the Effects of Virtual Reality in Decreasing Acute Pain?
D’Souza, Ryan S. , YaDeau, Jacques T. , D'Souza, Ryan S , Shanthanna, Harsha , Johnson, Rebecca L.

Anesthesia & Analgesia | March 15, 2024 | Volume: 138 | Issue: 4 | Pages: 746-750

10.1213/ane.0000000000006698 | PMID 38489794 Get It

Infectious Diseases Society of America Guidelines on the Diagnosis of Coronavirus Disease 2019: Serologic Testing
Hayden, Mary K. , Mikati, Ibrahim K El , Hanson, Kimberly E. , Lee, Francesca , Loeb, Mark , Morgan, Daniel J., Ta’ani, Omar Al , Nazzal, Jamil, Iqneibi, Shahad , Falck–Ytter, Yngve , Bhimraj, Adarsh , Hanson, Kimberly , Englund, Janet A. , Humphries, Romney M. , Patel, Robin , Amarin, Justin Z. , Sultan, Shahnaz , Morgan, Rebecca L. , Murad, M. Hassan , Mustafa, Reem A

Clinical Infectious Diseases | March 15, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/cid/ciae121 | PMID 38489670 Get It

Abstract Background The role of serologic testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved during the pandemic as seroprevalence in global populations has increased. The Infectious Diseases Society of America convened an expert panel to perform a systematic review of the coronavirus disease 2019 (COVID-19) serology literature and construct updated best practice guidance related to SARS-CoV-2 serologic testing. This guideline is an update to the fourth in a series of rapid, frequently updated COVID-19 guidelines developed by the Infectious Diseases Society of America. Objective To develop evidence-based recommendations and identify unmet research needs pertaining to the use of anti–SARS-CoV-2 antibody tests for diagnosis, decisions related to vaccination and administration of monoclonal antibodies or convalescent plasma in immunocompromised patients, and identification of a serologic correlate of immunity. Methods A multidisciplinary panel of infectious diseases clinicians, clinical microbiologists, and experts in systematic literature reviewed, identified, and prioritized clinical questions related to the use of SARS-CoV-2 serologic tests. Grading of Recommendations Assessment, Development and Evaluation methodology was used to assess the certainty of evidence and make testing recommendations. Results The panel recommends against serologic testing to diagnose SARS-CoV-2 infection in the first 2 weeks after symptom onset (strong recommendations, low certainty of evidence). Serologic testing should not be used to provide evidence of COVID-19 in symptomatic patients with a high clinical suspicion and repeatedly negative nucleic acid amplification test results (strong recommendation, very low certainty of evidence). Serologic testing may assist with the diagnosis of multisystem inflammatory syndrome in children (strong recommendation, very low certainty of evidence). To seek evidence for prior SARS-CoV-2 infection, the panel suggests testing for immunoglobulin G (IgG), IgG/IgM, or total antibodies to nucleocapsid protein 3 to 5 weeks after symptom onset (conditional recommendation, low certainty of evidence). In individuals with previous SARS-CoV-2 infection or vaccination, the panel suggests against routine serologic testing given no demonstrated benefit to improving patient outcomes (conditional recommendation, very low certainty of evidence). The panel acknowledges further that a negative spike antibody test may be a useful metric to identify immunocompromised patients who are candidates for immune therapy. Conclusions The high seroprevalence of antibodies against SARS-CoV-2 worldwide limits the utility of detecting anti-SARS CoV-2 antibody. The certainty of available evidence supporting the use of serology for diagnosis was graded as very low to low. Future studies should use serologic assays calibrated to a common reference standard.
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.
Algorithmic Identification of Treatment‐Emergent Adverse Events From Clinical Notes Using Large Language Models: A Pilot Study in Inflammatory Bowel Disease
Silverman, Anna L. , Sushil, Madhumita , Bhasuran, Balu , Ludwig, Dana , Buchanan, J.R. , Racz, Rebecca , Parakala, Mahalakshmi, El‐Kamary, Samer S., Ahima, Ohenewaa, Belov, Artur , Choi, Lauren , Billings, Monisha , Li, Yan , Habal, Nadia, Tiwari, Jawahar L., Butte, Atul J. , Buchanan, James , Liu, Qi , Butte, Atul J , Rudrapatna, Vivek A , Silverman, Anna Lerman

Clinical Pharmacology & Therapeutics | March 9, 2024 | Volume: 115 | Issue: 6 | Pages: 1391-1399

10.1002/cpt.3226 | PMID 38459719 Get It

Outpatient clinical notes are a rich source of information regarding drug safety. However, data in these notes are currently underutilized for pharmacovigilance due to methodological limitations in text mining. Large language models (LLMs) like Bidirectional Encoder Representations from Transformers (BERT) have shown progress in a range of natural language processing tasks but have not yet been evaluated on adverse event (AE) detection. We adapted a new clinical LLM, University of California – San Francisco (UCSF)‐BERT, to identify serious AEs (SAEs) occurring after treatment with a non‐steroid immunosuppressant for inflammatory bowel disease (IBD). We compared this model to other language models that have previously been applied to AE detection. We annotated 928 outpatient IBD notes corresponding to 928 individual patients with IBD for all SAE‐associated hospitalizations occurring after treatment with a non‐steroid immunosuppressant. These notes contained 703 SAEs in total, the most common of which was failure of intended efficacy. Out of eight candidate models, UCSF‐BERT achieved the highest numerical performance on identifying drug‐SAE pairs from this corpus (accuracy 88–92%, macro F1 61–68%), with 5–10% greater accuracy than previously published models. UCSF‐BERT was significantly superior at identifying hospitalization events emergent to medication use ( P < 0.01). LLMs like UCSF‐BERT achieve numerically superior accuracy on the challenging task of SAE detection from clinical notes compared with prior methods. Future work is needed to adapt this methodology to improve model performance and evaluation using multicenter data and newer architectures like Generative pre‐trained transformer (GPT). Our findings support the potential value of using large language models to enhance pharmacovigilance.