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A modified Delphi consensus on periprosthetic infection in orthopaedic oncology
Botello, Eduardo , Boyle, Richard A. , Morgan‐Jones, Rhidian , Laitinen, Minna , Lazarides, Alexander L. , Couch, Cory , Rose, Peter, Sullivan, Mikaela, Tibbo, Meagan, Laitinen, Minna K , Jeys, Lee , Ebeid, Walid , Houdek, Matthew T. , Kurisunkal, Vineet , Morris, Guy V , Puri, Ajay , Ruggieri, Pietro

The Bone & Joint Journal | December 1, 2025 | Volume: 107-B | Issue: 12 | Pages: 1352-1359

10.1302/0301-620x.107b12.bjj-2024-1039.r4 | PMID 41319695 Get It

Aims The aim of this study was to achieve consensus for important topics related to periprosthetic infection (PJI) in orthopaedic oncology, and to identify areas for future research. Methods In January 2024, the Birmingham Orthopaedic Oncology Meeting (BOOM) held in Birmingham, UK, gathered 309 delegates from 53 countries to debate 20 consensus statements on PJI in orthopaedic oncology using a modified Delphi process. Results Of 20 questions and statements on PJI in orthopaedic oncology, none achieved unanimous consensus, 18 achieved strong consensus, one achieved moderate consensus, and one achieved weak consensus. The statements that reached consensus with notable agreement were on the prophylaxis of infection, management of leaking wounds, and surgical strategies for the treatment of PJI. Short-duration antibiotic prophylaxis was deemed as effective as longer courses for lower-risk reconstructions, and aggressive management was recommended for wounds draining beyond five to seven days to prevent deep infection. Furthermore, single-stage, two-stage, and 1.5-stage revision were recognized as valid strategies, with two-stage revision remaining the most reliable. The statements that did not achieve consensus were on the role of debridement, antibiotics, and implant retention and prolonged antibiotic use post-revision. Conclusion The BOOM meeting achieved consensus for important topics on periprosthetic infection in orthopaedic oncology, but highlighted the low quality of the underlying evidence. This study has provided recommendations for the treatment of leaky wounds, duration of postoperative antibiotic prophylaxis, and choice of revision strategy. Cite this article: Bone Joint J 2025;107-B(12):1352–1359.
Letter to Editor Regarding: “Back to the Anatomy Lab to Redefine the Pulley System of the Thumb: Is There an A0 Pulley?,” by Sullivan et al.
Hor, Hicham El, Lachman, Nirusha , Amadio, Peter C. , El Hor, Hicham, Hor, Hicham El

HAND | November 27, 2025 | Volume: 21 | Issue: 2 | Pages: 325-325

10.1177/15589447251397024 | PMID 41307124 Get It

Convalescent plasma for COVID-19: planning for the next pandemic using the worldwide experience
Mattoon, Ellie Rose , Sullivan, David , Focosi, Daniele , Casadevall, Arturo , Mattoon, Ellie R , Sullivan, David J , Focosi, Daniele , Casadevall, Arturo , Joyner, Michael J. , Franchini, Massimo

Clinical Microbiology Reviews | November 25, 2025 | Volume: 39 | Issue: 1 | Pages: No page available

10.1128/cmr.00060-24 | PMID 41288364 Get It

SUMMARY COVID-19 convalescent plasma (CCP) was the first specific therapy deployed for treating SARS-CoV-2 infection. CCP was successfully deployed in both resource-poor and resource-rich countries, establishing that convalescent plasma (CP) is a feasible option for combating the next pandemic. CCP reduced mortality and progression to hospitalization when used early in the disease with high-titer units. This knowledge was gained from a worldwide effort that included more than 50 countries. However, the deployment of CCP was haphazard and varied among countries. Clinical studies suffered from a lack of standardization regarding study design, CCP antibody dosing, timing of administration, and participant disease severity. Unfortunately, the hard-won knowledge from the serum therapy era in the early 20th century, which indicated that effective antibody therapy requires early use in the disease with a sufficient antibody dose, was largely forgotten. Many studies tested CCP late in the disease or without sufficient antibody titer and thus reported negative findings. Trial heterogeneity made it difficult to combine the results of studies. However, despite tremendous heterogeneity in study design and participant populations, meta-analysis revealed strong signals of efficacy when given early with high antiviral-specific antibody levels. When the next pandemic occurs, humanity is likely to resort to CP again. To avoid another chaotic rollout, planning for CP use should begin well before that emergency arrives and must involve both physician education on the principles of antibody therapy and clinical trial designs that test its efficacy in optimal conditions, which include early use with sufficient antibody doses.
Cognitive stagnation and executive function deficits in young children with SCN1A + Dravet syndrome: Detailed characterization of onset, progression, and
Sullivan, Joseph , Perry, Μ. Scott , Scheffer, Ingrid E. , Wheless, James W. , Boronat, Susana , Brunklaus, Andreas , Laux, Linda , Patel, Anup D. , Roberts, Colin, Dlugos, Dennis , Holder, Deborah , Lallas, Matt, Phillips, Steven , Segal, Eric , Lal, Dennis , Gioia, Gérard A. , Shaffer, Rebecca C. , Wojnaroski, Mary , Christensen, Sarah , King, Alexander , Huang, Norman, Gofshteyn, Jacqueline S. , Perry, Michael Scott , Wheless, James W , Knupp, Kelly G , Phillips, Steven , Segal, Eric , Lal, Dennis , Wirrell, Elaine C , Zuberi, Sameer M , Gioia, Gerard , Shaffer, Rebecca , Berl, Madison , Wojnaroski, Mary , King, Alexander , James, Emma S , Vila, Maria Candida , Gofshteyn, Jacqueline S , Rico, Salvador , Patel, Anup D , Brunklaus, Andreas , Scheffer, Ingrid E , Knupp, Kelly G. , Wirrell, Elaine , Zuberi, Sameer M. , Berl, Madison M. , James, Emma S. , Huang, Norman, Rico, Salvador

Epilepsia | November 18, 2025 | Volume: 67 | Issue: 3 | Pages: 1284-1302

10.1111/epi.70015 | PMID 41251148 Get It

Abstract Objective Dravet syndrome (DS) is a developmental and epileptic encephalopathy characterized by drug‐resistant seizures and developmental slowing. Although cognitive and executive function deficits have been described, their early trajectory is not well understood. Methods The prospective ENVISION natural history study (NCT04537832) assessed cognitive, executive, and adaptive function in children younger than 5 years of age with SCN1A + DS every 6 months for up to 2 years using Bayley Scales of Infant and Toddler Development, 3rd Edition (BSID‐III), Wechsler Preschool & Primary Scale of Intelligence, 4th Edition (WPPSI‐IV), Vineland Adaptive Behavior Scales, 3rd Edition (VABS‐3), Behavior Rating Inventory of Executive Function – Preschool Version (BRIEF‐P), and Pediatric Evaluation of Disability Inventory (PEDI). Results Fifty‐eight children were enrolled, with 47% younger than age 2 years. At least 80% of children did not achieve age‐appropriate milestones. Mean BSID‐III Cognitive raw scores increased minimally, with age‐equivalent gains of only 3 months over 1.5 years. Mean Cognitive Composite scores declined significantly by Month 12 (from 81.6 to 72.2; change: –11.0, 95% confidence interval [CI]: −15.3 to −6.8), signaling a widening gap compared with neurotypical development. Executive function worsened, with mean BRIEF‐P Global Executive Composite T‐scores increasing by 3.2 points/year. For some participants, scores were 5 standard deviations (SD) above the normative mean, reflecting abilities profoundly below age expectations (bottom .00003% of the population). Adaptive functioning worsened, with mean VABS‐3 Adaptive Behavior Composite decreasing from 78.7 to 68.1 over 1.5 years (change: –9.0, 95% CI: −11.9 to −6.1) and greater decline among children <2 years at enrollment, with scores decreasing by ~15 points (1 SD). Over half of children >3 years could not remove clothing independently; and when placed on a toilet, 48% could not use it. Significance Infants and young children with SCN1A + DS show significant and progressive developmental slowing across several domains, highlighting urgent need for therapies to mitigate the devastating impact on individuals and families.
Staged Reconstruction Is Not Necessary Following Oncologic Resection of Superficial Myxofibrosarcoma
GARAYUA-CRUZ, LEILANI, Broida, Samuel E. , Sullivan, Mikaela H. , Folpe, Andrew L. , Xu‐Welliver, Meng , Lee, K.N. , Ho, Thanh P. , Okuno, Scott H. , Rose, Peter S. , Bakri, Karim , Moran, Steven L. , Houdek, Matthew T. , Xu-Welliver, Meng , Lee, Katie N., Ho, Thanh P , Okuno, Scott , Houdek, Matthew T , Broida, Samuel E , Siontis, Brittany L. , Robinson, Steven I.

Cancers | November 13, 2025 | Volume: 17 | Issue: 22 | Pages: 3637

10.3390/cancers17223637 | PMID 41301004 Get It

Background: Myxofibrosarcomas are notoriously highly infiltrative soft-tissue sarcomas, making negative surgical margins difficult to obtain. Recently, vacuum-assisted closure (VAC) is used to delay wound closure until a negative margin has been achieved; however, this can delay care and increase costs. Our institution has historically performed single-stage resections with intraoperative frozen margin analysis and reconstruction in these patients. The purpose of this study is to report the outcomes of this technique. Methods: We reviewed 112 patients (62 males, mean age 70 ± 14 years) with superficial myxofibrosarcoma. Eighty-eight patients received preoperative radiation. All patients underwent surgical resection with intraoperative frozen margin analysis, and the planned reconstruction was performed in a single anesthetic. Results: The 10-year local recurrence-free survival was 90%; positive intraoperative frozen section (HR 7.44, p = 0.004) and final permanent margins (HR 8.53, p = 0.007) were associated with local recurrence. Intraoperative margins were negative in 103 (92%) of patients, 1 of which was positive on final permanent section. There were nine cases of microscopically positive margins, of which seven underwent immediate re-excision to a negative margin. The accuracy of frozen margin assessment for myxofibrosarcoma was between 92.92 and 98.23%. All patients underwent reconstruction at the time of resection, with 19% needing an additional procedure, most commonly due to a wound complication (12%). Conclusions: Multidisciplinary single-stage excision with intraoperative frozen margin assessment and soft-tissue reconstruction yields low rates of local recurrence in patients with superficial myxofibrosarcoma.
DDDR-71. Dual inhibition of RAF/MEK and FAK signaling improves survival in intracranial meningioma models
Ijad, Nazanin, Yamazawa, Erika , Summers, Elizabeth J, Migliarese, Christian, Marion, Braxton, Zhang, Britney S. , Sullivan, Emily , Ellington, Claudia, Sasisekharan, Varun, Carlson, Brett L. , Waller, Katie L. , Nayyar, Naema , Torrini, Consuelo , Galanis, Evanthia , Sarkaria, Jann N. , Wakimoto, Hiroaki , Vaubel, Rachael A. , Brastianos, Priscilla K.

Neuro-Oncology | November 11, 2025 | Volume: 27 | Issue: Supplement_5 | Pages: v179-v179

10.1093/neuonc/noaf201.0708 Get It

Abstract BACKGROUND High-grade and recurrent meningiomas frequently demonstrate aggressive behavior and therapeutic resistance, with limited treatment options. Dysregulation of the MAPK and FAK pathways drive meningioma progression, but compensatory activation between these pathways could limit single agent efficacy. Recently, a clinical trial (Alliance A071401) showed encouraging efficacy of single-agent FAK inhibition in recurrent/progressive meningioma (Brastianos et al, JCO 2023). This preclinical study aimed to evaluate the therapeutic potential of dual RAF/MEK (avutometinib) and FAK (VS-4718) inhibition in suppressing tumor growth and improving survival in intracranial meningioma models. METHODS Orthotopic intracranial models were established by injecting IOMM-Lee (Fluc-mCherry) or CH157-MN (eGFP-LUC2) cells into nu/nu mice. Mice were randomized into four groups: vehicle, VS-4718 (murine formulation of defactinib, 50 mg/kg, BID), avutometinib (0.3 mg/kg, QD), or combination therapy. Treatments were administered for a 4-week period. Tumor growth was monitored via bioluminescent imaging (BLI) at baseline, midpoint, and study endpoint. Pharmacokinetic (PK) and pharmacodynamic (PD) effects were assessed by intratumoral drug concentrations and Western blotting for p-ERK and p-AKT, respectively. RESULTS In the NF2-mutant CH157-MN model, avutometinib increased median survival from 12.5 to 20.5 days (p=0.001), while combination therapy extended survival further to 22 days (p&lt;0.0001 vs vehicle). Similarly, in the NF2-wildtype IOMM-Lee model, avutometinib raised survival from 27.5 to 33 days (p=0.0237), with combination therapy reaching 34.5 days (p=0.0057 vs vehicle). VS-4718 monotherapy did not extend survival in both models. BLI demonstrated significant inhibition of tumor growth in both avutometinib and combination groups in both tumor models. PK analysis revealed Kp values of 0.26–0.37 for avutometinib and 0.46–0.50 for VS-4718 in orthotopic tumor tissue. Furthermore, combination therapy lowered p-ERK in tumors (p=0.001) compared to vehicle. CONCLUSION Dual RAF/MEK and FAK inhibitor therapy blocks MAPK activation and enhances survival in orthotopic meningioma models, supporting further clinical evaluation for aggressive meningiomas.
Evaluation of Interventions for Cognitive Symptoms in Long COVID
Koltai, Deborah, Laskowitz, Daniel T. , Wisnivesky, Juan P., Federman, Alex D. , Silverstein, Adam M. , Lokhnygina, Yuliya, Haddad, Michelle M., Mahncke, Henry W. , Vleet, Tom Van, Huang, Rong , Cox, Wendy C., Terry, Diana, Karwowski, Jeannie, McCray, Netia, Lin, Jenny , Singh, Upinder , Geng, Linda N. , Reece, Rebecca , Moy, James N., Arvanitakis, Zoe , Parthasarathy, Sairam , Patterson, Thomas F., Gupta, Aditi , Parsonnet, Jeffrey, Kiriakopoulos, Elaine T. , Mullington, Janet , Jolley, Sarah E. , Shah, Nirav S. , Morimoto, Sarah Shizuko , Lee‐Iannotti, Joyce , Isache, Carmen, Frontera, Jennifer , O’Steen, Ashley, James, Melissa, Harper, Barrie, Zimmerman, Kanecia O. , Lawler, Andrew , Johnson, Brandon M. , Pitsch, Chloe E. , Feuerriegel, Elen , McKeehan, Jeffrey, Molden, Joie, Reid, Kayleigh M., Dowling, Sarah , Wodushek, Thomas, Canton, Diara, Turut, Dilara, Sheppard, Ethan , Scott‐Sutherland, Jennifer, Shaughnessy, Lynn, Beck, Michelle L. , Heisey, Sabrina, Katragadda, Vaishanvi, Yusuff, Amidat, Perlack, Amy, Merisme, Christie, Krause, David, Schulte, Duncan, Dupre, Fabiola, Sanchez, Gina A. Montealegre , Asupoto, Olanike, Simmons, Quinneil, Schroeder, Ryan W. , Timlin, Shannon, Devis, Ycar, Carter, Della, Caceres, Leomaris Caba, Rodríguez, Miguel Grande, Alvarez, Zariya , Yakubov, Amin , Engelson, Celia, Reyes, Michael, Youkhana, Alvin, Jennings, Cheryl , Naquiallah, Dina, Behun, Dylan , Stephen, Ellen, Timm, Emily , Bilimoria, Farrah, Li, Grace , Stricker, Thomas, Michelle, Kang, Minnie, Suarez, Rebeca Tojo, Carmona, Tania, Ramírez, Ana, Kadubek, Grace, Baker, Aileen, Romo-Serna, Andrea, Predki, Barbara, Leman, Cindy, Panhans, Cristina, Roth, Genevieve E., Rudraraju, Gowrisree , Miller, Hannah , DeLisa, Julie A., Williams, Kat, Woodson, Kimberly S., Jennette, Kyle J. , Villanueva, Laura, Norwick, Maria, Martínez, M. T., Rowley, Matt, Carrithers, Michael D. , Pliskin, Neil H. , Pérez, Nicolás , Durkin, Nicole M., Maniar, Nikita, Beety, Rachel, Daspgupta, Raktima, Ramchandran, Ramaswamy, Jaramillo, R., Hasek, Sharon, Macías, S Aguirre, Schuh, Tina , Ialacci, Sarah, Bailey, Christopher , Labbato, Danielle, Hautmann, Amanda , Smith, Beth, Nath, Dia, Meyer, Jessica , DiFrancesco, Kathryn, Pettinato, Kimberly, Curtis, Lynette, Daher, Joviane , Koberssy, Ziad , Mavar, Caleb, Andrefsky, John, Merheb, Alexander, Hernandez, Carla, Baissary, Jhony , Atieh, Ornina , Pereira, Carol, Carpenter, Deborah, Raynor, Jennifer , Brunton, Kristine, Podgoreanu, Andreea, Bunch, P. C., O’Brien, Sean M. , Dickey, Sheila, McNulty, Steven E., Gajjar, Varsha, Neale, Alec C. , Cohen, Cari, Geary, Elizabeth, Campanella, Franco, Anderson, Kirsten, Prestige, Laura, Guidotti-Breting, Leslie, Biewer, Megan, Morton, Melissa , Mathenia, Nicholas, Adeyemi, Oluwadamilola A. , Hengst, Samanike, Ning, Wei , Vanderloo, Adam, Caplan, Amanda, Chen, July, Acree, Mary Ellen , Nakhate, Mukund, Dan, Zaw Nu, Pk, Switzer, Aryal, Shambhu , Sanchez, Jessica, Sims, Luke, Ferdinand, Rebecca , Mammadova, Mehriban, Grimes, Carolyn Z. , Vidales, Elizabeth, Pham, Hau , Nielsen, Laura, Keller, Maryjane, Uruba, Syeda, Hernandez, Maria, Patel, Bela , Umana-Sanchez, Virginia, Pak, Chong, Gainer, Jeffery, BURR, R, Trapuzzano, Ashleigh, Celso, Brian G. , Bienkowski, Grace, Bowman, Jennifer, Verdecia, Jorge , Zerwekh, Kathryn, Serrano, Liliana , Marotz, Meghan, Propp, Piper, Sarig, Yonatan , Murphy, Annie, Comfort, Brandon, Torres, Iri, Klein, Jeffrey A. , Walker, John, Moore, John J., Tempest-Browning, Lisa, Arain, Mudassar, Kemp, Pamela, Sullivan, Samantha, Way, Sonja, Chevalier, Jessica, Sykes, Carly, Kruck, Carrie L., Sackett, L. W., Bang, Claire, Hynes, Mary, Gallagher, Torrey L., Childers-Kakos, Margaret, Zia, Ahmad, South, AP, Oravets, Anne, Ferreyra, Carolyn, Glaze, Chad, Villanueva, Daphne-Dominique , Blystone, Erica, Pritchard, Jane, Alyward, Laura, Cooper, Melissa, Chidester, Michelle, Alderson, R. Matt , Clark, Renee D., Hodder, Sally , Sarwari, Arif R, Juskowich, Joy, Welch, Shelly, Civil, Alyssa, Bendl, Ashley, Dicker, Elisa, Hanson, Hannah, Viola, Heather, Morinigo, Janice, Pantaleon, Karisma, Marcon, Kathryn, Stone, Kimberly, Stewart, Kiwan, Evo-Ortega, Lorraine, McVeety, Megan, Guliyeva, Sabina , Watson, Eric , Pehel, Shayna, Ko, Tim, Caropolo, Leah, Kocas, H. Deniz , O’Donnell, Andrew, Saperia, Corey , Thai, Daniel, Pathak, Divya , Keller, Jennifer M. , Olszewski, Kelly, Clinton, Kimberly, Cherian, Kirsten , Dutton, L M, Elepano, Ma, Mohapatra, Sukanya , Chen, Ting , Wroolie, Tonita, Leang, Zenita, Shashidhar, Sumana, Nguyen, T L, Ravisankar, Ashwath, Weiden, Brycie, Bolliger, Dawn, Glesne, Heather, Dixon, Jennifer , Chebrolu, Praneeth, Gazali, Zarine, Hurst, Whitney, Fry, Avery, Murthy, Ganesh, Grischo, Garrett, Erickson, Heidi L. , Gomez, Isaias, Copeland, Jacquelynn, Galaz, Judy, Autry, Lynn, DiLise-Russo, Marjorie, Marshell, Nikki, Borwege, Sabine, Vadovicky, Sheila, Marsh, Stephanie, Hartley, William, Murtagh, Linda, Kennedy, Anna, Meltzer-Christensen, Annie, Stringham, Caitlyn, Gaskin, Ella, Judd, Melissa, Côté, Sarah , Mahasenan, Shreya, Bjorklund, Todd, Farner, Cheryl E., Taylor, Barbara S. , Soileau, Bridgette, Cote, Cyrena , Hromas, Gabrielle A., Scholler, Irma, Longoria, Lisa, Heard, Patricia, Jones, Johnnie, Tragus, Robin , Harris, Maya, Pinones, Alexis, Anderson, Alyssa , Hastings, Gabrielyd, Courtright, jessica, Jayakumar, Madhumita, Fischer, M, Solis, Pamela, Harteloo, Alex, Elias-Warren, Anna, Nguyen, Daniel , McDonald, Dylan , Rau, Holly , Mernaugh, Jean, Pagulayan, Kathleen F. , Watanabe, Kino, Huden, Kristen, Peabody, Laurel, Mei, Tiffany, Ogunwuyi, Catherine, Cobbina, Esther, Sankar, Ian, Nguyen, Lisa , Fromm, N., Arnold, R. Douglas, Ogu, Stephanie, Yuan, Ying , Ibrahim, Homam , Szum, Izabella, Patel, Jignesh, Sultan, Sonia, Jazayeri, Yasmin, Anderson, Betty Lise, Muñoz, Isabel , Rhys, Logan, Vane, Ryan, Kim, Jessica , Diaz, Leticia M., Yee, Nathan, Gruhn, Robert, Browngoetz, Sarah, Johnson, Elisha, Chand, Arista , Bottrill, Kenneth , Henderson, Kymberly, Johnson, DeArmond, Richard C., Hughes, Trina, Silverstein, A , Silverstein, Adam P , Frontera, Jennifer , Geng, Linda N. , Knopman, David S. , Becker, Jacqueline , Charvet, Leigh , Pilloni, Giuseppina , Huang, Rong, Cox, Wendy, Karwowski, Jeannie, McComsey, Grace A. , Chu, Helen Y. , Ostrosky‐Zeichner, Luis , Fong, Tamara G. , Killgore, William D. S. , Dwyer, Brigid C. , Stringer, William W. , Krishnan, Jerry A , James, Melissa, Johnson, Brandon, Erlandson, Kristine M. , Dowling, Sarah, Hauser, Kristine , Doyle, Michael, Beck, Michelle, Tran, Anh, Altaras, Caroline , Sanchez, Gina, Krengel, Maxine , Ly, Monica T. , Asupoto, Olanike, Schroeder, Ryan, Rodriguez, Miguel, González, David Andrés , Torres, Jimena, García, Maria Luisa , Carrera, Laura, Rutherford, Melissa, Perez, Nicolas, Jaramillo, Ruthie, Smith, Beth, Walkup, Kevin, Scott, Sarah , Mavar, Caleb B., Carpenter, Deborah, Bunch, Pyper, Brown, Richard, Escobar, Carolina, Campanella, Franco, Mathenia, Nicholas, Glickman, Michael S. , Sims, Luke A., Pham, Hoai Phuang, Lopez, John, Hernandez, Maria, Lin, Matthew Junda , Gainer, Jeffery, Brown, Gina , Klein, Jeffrey, Reed, Jessica, Walker, John, Sackett, Lisa, Kaden, Sarah J. , Childers-Kakos, Margaret G, South, Amy, Blystone, Erica, Cooper, Melissa, Alderson, Rachael, Clark, Renee, Bardes, James M. , Hanson, Hannah, Loizos, Maria , Caropolo, Leah J., Fernandez, Luis, Keller, Jennifer, Lin, Rebecca, Brown, Daniel, Dixon, Jennifer, James, Michelle, Kala, Mrinalini , Smith, Ryan S. , Mahasenan, Shreya, Johnson, Hillary, Anderson, Alyssa, Hernandez, Jessica, Sullivan, Michael, Nguyen, Helen , Logue, Jennifer, Mei, Tiffany, Arnold, Rowan, Szum, Izabella , Hatlen, Timothy J. , Anderson, Betty, Munoz, Isabel, Wright, Matthew, Diaz, Leticia, DeCato, Thomas W. , Ortiz, Ernesto, Hildebrand, Lindsey L. , DeArmond, Richard

JAMA Neurology | November 10, 2025 | Volume: 83 | Issue: 1 | Pages: 49

10.1001/jamaneurol.2025.4415 | PMID 41212544 Get It

Importance Treatment for cognitive dysfunction due to postacute sequelae of long COVID (ie, symptoms of fatigue, malaise, weakness, confusion that persist beyond 12 weeks after an initial COVID infection) remains a significant unmet need. Objective To test evidence-based rehabilitation strategies for improving cognitive symptoms in persons with long COVID. Design, Setting, and Participants This was a 5-arm, multicenter, randomized clinical trial of 3 remotely delivered interventions conducted between August 17, 2023, and June 10, 2024. The study took place at 22 trial sites and included the screening of individuals with cognitive long COVID. Interventions Participants were randomized to 1 of 5 arms: adaptive computerized cognitive training (BrainHQ [Posit Science]), cognitive-behavioral rehabilitation involving both group and individual counseling sessions (PASC-Cognitive Recovery [PASC-CoRE]) paired with BrainHQ, and transcranial direct current stimulation (tDCS) paired with BrainHQ. Two comparator arms were included as follows: unstructured computer puzzles and games (active comparator) and sham tDCS paired with BrainHQ. The interventions occurred 5 times per week over 10 weeks. Main Outcomes and Measures Cognitive and behavioral in-person assessments were performed at baseline, midintervention, at the end of intervention, and 3 months after the end of the intervention. The primary outcome measure was the modified Everyday Cognition Scale 2 (ECog2) completed at the end of the intervention compared to the baseline visit based on participant self-report looking back over the prior 7 days. Results A total of 378 individuals were screened, from which there were 328 participants (median [IQR] age, 48.0 [37.0-58.0] years; 241 female [73.5%]; race: 15 Asian [4.6%], 47 Black [14.3%], and 235 White [71.6%]; ethnicity: 52 Hispanic [15.9%]). None of the 3 active interventions demonstrated benefits on the modified ECog2 in the intention-to-treat population by the end of the intervention period. The adjusted differences in mean change were 0.0 (95% CI, −0.2 to 0.2) for BrainHQ vs active comparator, 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs active comparator, 0.0 (95% CI, −0.2 to 0.2) for tDCS-active + BrainHQ vs tDCS-sham + BrainHQ, and 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs BrainHQ alone. Secondary participant-reported outcomes and neuropsychological tests showed no differential benefits for any treatment arm. All 5 arms demonstrated some improvements over time on the modified ECog2 and on secondary outcomes. There were no serious adverse events attributable to the interventions. Conclusions and Relevance This phase 2 randomized clinical trial failed to demonstrate differential benefits for online cognitive training, a structured cognitive rehabilitation program, and tDCS for cognitive long COVID. Trial Registration ClinicalTrials.gov Identifier: NCT05965739 .
A Multicenter Double-blind Randomized Sham-controlled Trial Assessing the EndoBarrier Duodenal-jejunal Bypass Liner for the Treatment of Poorly Controlled Type 2 Diabetes Mellitus With Concomitant Obesity
Thompson, Christopher C. , Jirapinyo, Pichamol , Brethauer, Stacy A., Shaheen, Nicholas J. , Sullivan, Shelby , Wilson, Erik B., Schulman, Allison R. , Butsch, W. Scott , Gersin, Keith S., Apovian, Caroline M., Schauer, Philip, McCarty, Thomas R. , Koch, Timothy R. , Dayyeh, Barham K. Abu

Annals of Surgery | November 7, 2025 | Volume: 284 | Issue: 1 | Pages: 34-42

10.1097/sla.0000000000006974 | PMID 41199626 Get It

Objective: An endoscopically placed duodenal-jejunal bypass liner (DJBL) may provide a safe adjunctive therapy for those with poorly controlled type 2 diabetes mellitus (T2DM) and obesity. Background: Although some endoscopic therapies have been shown to improve glycemic indices secondary to weight loss, small bowel interventions may have direct metabolic effects. A meta-analysis of observational studies demonstrated reduction in HbA1c by 1.3% at 1 year after DJBL in patients with T2DM and obesity. Methods: This was a multicenter, double-blind, randomized, sham-controlled trial comparing DJBL to sham procedure with medical management and lifestyle modification. Primary endpoints included mean difference in changes in HbA1c at 12 months between arms, and device-related serious adverse events (SAEs). Secondary endpoints included percent total weight loss (%TWL) and subjects achieving HbA1c≤7% and TWL≥5% at 12 months. Results: Three hundred twenty subjects were randomized to DJBL (n=212) and sham (n=108). Baseline HbA1c and BMI were 8.79±0.92% and 38.45±5.75 kg/m 2 . On modified intent-to-treat analysis, change in HbA1c at 12 months was −1.10±1.45% and −0.28±1.54% for DJBL and sham groups, respectively ( P =0.0004). Rate of device-related SAEs was 9.4% including intolerance (3.7%), hemorrhage (2.8%), and hepatic abscess (2.3% stopping study early). At 12 months, DJBL group experienced greater weight loss compared with sham (7.7±9.6% TWL and 2.1±5.4% TWL, respectively; P <0.0001), with significantly more patients achieving HbA1c ≤ 7% (28.3% vs. 9.4%; P <0.0003) and TWL ≥ 5% (60.4% vs. 21.3%; P <0.0001). Conclusions: DJBL met primary glycemic control efficacy and primary safety endpoints, while providing clinically significant weight loss, and comorbidity improvement.
Development of a Machine Learning Model for Predicting Treatment-Related Amenorrhea in Young Women with Breast Cancer
Song, Long , Aickelin, Uwe , Khorshidi, Hadi Akbarzadeh , Hamy, Anne‐Sophie , Jayasinghe, Yasmin , Lambertini, Matteo , Condorelli, M. , Pistilli, Barbara , Su, H. Irene , Pang, Patrick Cheong‐Iao , Reyal, Fabien , Sukumvanich, Paniti , Minisini, Alessandro Marco , Ruddy, Kathryn J. , Couch, Fergus J. , Stern, Kate, Agresta, Franca, Chin‐Lenn, Laura , Cui, Wanda, Anazodo, Antoinette , Nguyen, Tuong L. , Partridge, Ann, Macheras‐Magias, Mary, Aickelin, Uwe , Akbarzadeh Khorshidi, Hadi , Hamy, Anne-Sophie , Jayasinghe, Yasmin , Lambertini, Matteo , Su, H Irene , Pang, Patrick Cheong-Iao , Ruddy, Kathryn J , Anazodo, Antoinette , Nguyen, Tuong L , Edib, Zobaida , Hickey, Martha , Anderson, Richard A. , Condorelli, Margherita, Demeestere, Isabelle , Ignatiadis, Michail , Chang, Shanton , Nelson, Scott M. , Puglisi, Fabio , Couch, Fergus J. , Olson, Janet E. , Stafford, Lesley , Gorelik, Alexandra , Saunders, Christobel , Sullivan, Elizabeth , Peate, Michelle

Bioengineering | October 28, 2025 | Volume: 12 | Issue: 11 | Pages: 1171

10.3390/bioengineering12111171 | PMID 41301127 Get It

Treatment-induced ovarian function loss is a significant concern for many young patients with breast cancer. Accurately predicting this risk is crucial for counselling young patients and informing their fertility-related decision-making. However, current risk prediction models for treatment-related ovarian function loss have limitations. To provide a broader representation of patient cohorts and improve feature selection, we combined retrospective data from six datasets within the FoRECAsT (Infertility after Cancer Predictor) databank, including 2679 pre-menopausal women diagnosed with breast cancer. This combined dataset presented notable missingness, prompting us to employ cross imputation using the k-nearest neighbours (KNN) machine learning (ML) algorithm. Employing Lasso regression, we developed an ML model to forecast the risk of treatment-related amenorrhea as a surrogate marker of ovarian function loss at 12 months after starting chemotherapy. Our model identified 20 variables significantly associated with risk of developing amenorrhea. Internal validation resulted in an area under the receiver operating characteristic curve (AUC) of 0.820 (95% CI: 0.817–0.823), while external validation with another dataset demonstrated an AUC of 0.743 (95% CI: 0.666–0.818). A cutoff of 0.20 was chosen to achieve higher sensitivity in validation, as false negatives—patients incorrectly classified as likely to regain menses—could miss timely opportunities for fertility preservation if desired. At this threshold, internal validation yielded sensitivity and precision rates of 91.3% and 61.7%, respectively, while external validation showed 92.9% and 60.0%. Leveraging ML methodologies, we not only devised a model for personalised risk prediction of amenorrhea, demonstrating substantial enhancements over existing models but also showcased a robust framework for maximally harnessing available data sources.