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432 citation(s) found for "La, Kristina".

An artificial intelligence-generated model predicts 90-day survival in alcohol-associated hepatitis: A global cohort study
Dunn, Winston , Li, Yanming , Singal, Ashwani K. , Díaz, Luis Antonio , Idalsoaga, Francisco , Ayares, Gustavo , Arnold, Jorge , Ayala-Valverde, María , Pérez, Diego , Gomez, Jaime, Escarate, Rodrigo , Ramírez, Carolina , Morales‐Arráez, Dalia , Qian, Steve , Ahn, Joseph , Buryska, Seth , Mehta, Heer , Dunn, Nicholas , Bumbu, Andreea , Horhat, Adelina , Attar, Bashar, Agrawal, Rohit , Echavaría, Victor , Cuyàs, Berta , Poca, María , Maiwall, Rakhi , Rao, Padaki Nagaraja , Guerra-Salazar, Patricia, Kubánek, Natália , Prado, Verónica , Clemente, Ana , Haider, Tehseen, Chacko, Kristina R. , Romero, Gustavo , Pollarsky, Florencia , Toro, Luis, Yaquich, Pamela, Garrido, María Laura , Dirchwolf, Melisa , Vargas, Vı́ctor , Jiménez, César , García–Tsao, Guadalupe , Ortiz, Guillermo, Kamath, Patrick S. , Shah, Vijay H. , Díaz, Luis A , Idalsoaga, Francisco , Ayares, Gustavo , Arnold, Jorge , Ayala-Valverde, María , Perez, Diego , Ramirez-Cadiz, Carolina , Mehta, Heer , Dunn, Nicholas , Horhat, Adelina , Agrawal, Rohit , Poca, Maria , Soriano, German , Jalal, Prasun K , Kulkarni, Anand V , Skladaný, Lubomir , Pollarsky, Florencia D , Restrepo, Juan C , Mendizabal, Manuel , Marciano, Sebastián , Dirchwolf, Melisa , Vargas, Victor , Jiménez, César , Arrese, Marco , Bataller, Ramon A , Ahn, Joseph C , Singal, Ashwani K , Cuyas, Berta , Dunn, Winston , Simonetto, Douglas A. , Fuentes–López, Eduardo , Zhang, Wei , Waleed, Muhammad Hasnain , Ştefănescu, Horia , Cabezas, Joaquín , Sarin, Shiv Kumar , Jalal, Prasun K. , Tijera, Fatima Higuera‐de la , Kulkarni, Anand V. , Rincón, Diego , Hudson, David, Ortiz, Guillermo, Abraldeṣ, Juan G. , Arrese, Marco , Arab, Juan Pablo

Hepatology | April 12, 2024 | Volume: 80 | Issue: 5 | Pages: 1196-1211

10.1097/hep.0000000000000883 | PMID 38607809 Get It

Background and Aims: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Existing prognostic models lack precision for 90-day mortality. Utilizing artificial intelligence in a global cohort, we sought to derive and validate an enhanced prognostic model. Approach and Results: The Global AlcHep initiative, a retrospective study across 23 centers in 12 countries, enrolled patients with AH per National Institute for Alcohol Abuse and Alcoholism criteria. Centers were partitioned into derivation (11 centers, 860 patients) and validation cohorts (12 centers, 859 patients). Focusing on 30 and 90-day postadmission mortality, 3 artificial intelligence algorithms (Random Forest, Gradient Boosting Machines, and eXtreme Gradient Boosting) informed an ensemble model, subsequently refined through Bayesian updating, integrating the derivation cohort’s average 90-day mortality with each center’s approximate mortality rate to produce posttest probabilities. The ALCoholic Hepatitis Artificial INtelligence Ensemble score integrated age, gender, cirrhosis, and 9 laboratory values, with center-specific mortality rates. Mortality was 18.7% (30 d) and 27.9% (90 d) in the derivation cohort versus 21.7% and 32.5% in the validation cohort. Validation cohort 30 and 90-day AUCs were 0.811 (0.779–0.844) and 0.799 (0.769–0.830), significantly surpassing legacy models like Maddrey’s Discriminant Function, Model for End-Stage Liver Disease variations, age-serum bilirubin-international normalized ratio-serum Creatinine score, Glasgow, and modified Glasgow Scores (p < 0.001). ALCoholic Hepatitis Artificial INtelligence Ensemble score also showcased superior calibration against MELD and its variants. Steroid use improved 30-day survival for those with an ALCoholic Hepatitis Artificial INtelligence Ensemble score > 0.20 in both derivation and validation cohorts. Conclusions: Harnessing artificial intelligence within a global consortium, we pioneered a scoring system excelling over traditional models for 30 and 90-day AH mortality predictions. Beneficial for clinical trials, steroid therapy, and transplant indications, it’s accessible at: https://aihepatology.shinyapps.io/ALCHAIN/.
Tumor-Extrinsic Axl Expression Shapes an Inflammatory Microenvironment Independent of Tumor Cell Promoting Axl Signaling in Hepatocellular Carcinoma
Breitenecker, Kristina , Heiden, Denise, Demmer, Tobias, Weber, Gerhard, Primorac, Ana-Maria, Hedrich, Viola , Ortmayr, Gregor , Gruenberger, Thomas , Herndler‐Brandstetter, Dietmar , Barozzi, Iros , Mikulits, Wolfgang , Herndler-Brandstetter, Dietmar , Barozzi, Iros , Mikulits, Wolfgang , Gruenberger, Thomas , Weber, Gerhard, Starlinger, Patrick

International Journal of Molecular Sciences | April 11, 2024 | Volume: 25 | Issue: 8 | Pages: 4202

10.3390/ijms25084202 | PMID 38673795 Get It

The activation of the receptor tyrosine kinase Axl by Gas6 is a major driver of tumorigenesis. Despite recent insights, tumor cell-intrinsic and -extrinsic Axl functions are poorly understood in hepatocellular carcinoma (HCC). Thus, we analyzed the cell-specific aspects of Axl in liver cancer cells and in the tumor microenvironment. We show that tumor-intrinsic Axl expression decreased the survival of mice and elevated the number of pulmonary metastases in a model of resection-based tumor recurrence. Axl expression increased the invasion of hepatospheres by the activation of Akt signaling and a partial epithelial-to-mesenchymal transition (EMT). However, the liver tumor burden of Axl+/+ mice induced by diethylnitrosamine plus carbon tetrachloride was reduced compared to systemic Axl−/− mice. Tumors of Axl+/+ mice were highly infiltrated with cytotoxic cells, suggesting a key immune-modulatory role of Axl. Interestingly, hepatocyte-specific Axl deficiency did not alter T cell infiltration, indicating that these changes are independent of tumor cell-intrinsic Axl. In this context, we observed an upregulation of multiple chemokines in Axl+/+ compared to Axl−/− tumors, correlating with HCC patient data. In line with this, Axl is associated with a cytotoxic immune signature in HCC patients. Together these data show that tumor-intrinsic Axl expression fosters progression, while tumor-extrinsic Axl expression shapes an inflammatory microenvironment.
Association of Cytokine Proteins with Disease Activity in Neuromyelitis Optica Spectrum Disorder Participants Receiving Inebilizumab Treatment (S32.005)
Aktaş, Orhan , Kim, Ho Jin , Marignier, Romain , Wingerchuk, Dean M. , Smith, M. J. H., Rees, William A. , Patterson, Kristina, Pittock, Sean J. , Smith, Micheal, Clarkson, Kristen A. , Patterson, Kristina R. , Cree, Bruce

Neurology | April 9, 2024 | Volume: 102 | Issue: 7_supplement_1 | Pages: No page available

10.1212/wnl.0000000000204694 Get It

Gaps in Acute Treatment Optimization in Participants with Migraine: Results from the US Cohort of the Chronic Migraine Epidemiology and Outcomes—International (CaMEO-I) Study (S22.003)
Buse, Dawn C. , Hutchinson, Susan , Fanning, Kristina M. , Schlacher, Casey, Lama, Janette Contreras‐De, Schwedt, Todd J. , Lipton, Richard B.

Neurology | April 9, 2024 | Volume: 102 | Issue: 7_supplement_1 | Pages: No page available

10.1212/wnl.0000000000206278 Get It

Discordance Between Very Low‐Density Lipoprotein Cholesterol and Low‐Density Lipoprotein Cholesterol Increases Cardiovascular Disease Risk in a Geographically Defined Cohort
Seehusen, Kristina E. , Remaley, Alan T. , Sampson, Maureen , Meeusen, Jeffrey W. , Larson, Nicholas B. , Decker, Paul A. , Killian, Jill M. , Takahashi, Paul Y. , Roger, Véronique L. , Manemann, Sheila M., Lam, Reyna , Bielinski, Suzette , Larson, Nicholas B , Takahashi, Paul , Meeusen, Jeffrey W. , Decker, Paul A. , Bielinski, Suzette J.

Journal of the American Heart Association | April 9, 2024 | Volume: 13 | Issue: 8 | Pages: No page available

10.1161/jaha.123.031878 | PMID 38591325 Get It

Background Clinical risk scores are used to identify those at high risk of atherosclerotic cardiovascular disease (ASCVD). Despite preventative efforts, residual risk remains for many individuals. Very low‐density lipoprotein cholesterol (VLDL‐C) and lipid discordance could be contributors to the residual risk of ASCVD. Methods and Results Cardiovascular disease–free residents, aged ≥40 years, living in Olmsted County, Minnesota, were identified through the Rochester Epidemiology Project. Low‐density lipoprotein cholesterol (LDL‐C) and VLDL‐C were estimated from clinically ordered lipid panels using the Sampson equation. Participants were categorized into concordant and discordant lipid pairings based on clinical cut points. Rates of incident ASCVD, including percutaneous coronary intervention, coronary artery bypass grafting, stroke, or myocardial infarction, were calculated during follow‐up. The association of LDL‐C and VLDL‐C with ASCVD was assessed using Cox proportional hazards regression. Interaction between LDL‐C and VLDL‐C was assessed. The study population (n=39 098) was primarily White race (94%) and female sex (57%), with a mean age of 54 years. VLDL‐C (per 10‐mg/dL increase) was significantly associated with an increased risk of incident ASCVD (hazard ratio, 1.07 [95% CI, 1.05–1.09]; P <0.001]) after adjustment for traditional risk factors. The interaction between LDL‐C and VLDL‐C was not statistically significant ( P =0.11). Discordant individuals with high VLDL‐C and low LDL‐C experienced the highest rate of incident ASCVD events, 16.9 per 1000 person‐years, during follow‐up. Conclusions VLDL‐C and lipid discordance are associated with a greater risk of ASCVD and can be estimated from clinically ordered lipid panels to improve ASCVD risk assessment.
Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer
Leon‐Ferre, Roberto A. , Jonas, Sarah Flora , Salgado, Roberto, Loi, Sherene , Jong, Vincent de, Carter, Jodi M. , Leung, Samuel , Riaz, Nazia , Chia, Stephen , Jules-Clément, Gérôme , Curigliano, Giuseppe , Linderholm, Barbro, Deurzen, Carolien H. M. van , Timmermans, Anne, Yazaki, Shu, Yoshida, Masayuki , Bataillon, Guillaume , Kok, Marleen , Group, International Immuno-Oncology Biomarker Working, Curigliano, Giuseppe , Loi, Sherene , Carter, Jodi , Salgado, Roberto , Nielsen, Torsten O. , Criscitiello, Carmen , Cockenpot, Vincent , Lambertini, Matteo , Suman, Vera J. , Linderholm, Barbro Kristina , Martens, John W.M. , Timmermans, A. Mieke, Shimoi, Tatsunori , Kim, Sung-Bae , Lee, Hee Jin , Dieci, Maria Vittoria , Vincent‐Salomon, Anne , André, Fabrice , Linn, Sabine C. , Goetz, Matthew P. , Michiels, Stefan , Group, International Immuno-Oncology Biomarker Working

JAMA | April 2, 2024 | Volume: 331 | Issue: 13 | Pages: 1135

10.1001/jama.2024.3056 | PMID 38563834 Get It

Importance The association of tumor-infiltrating lymphocyte (TIL) abundance in breast cancer tissue with cancer recurrence and death in patients with early-stage triple-negative breast cancer (TNBC) who are not treated with adjuvant or neoadjuvant chemotherapy is unclear. Objective To study the association of TIL abundance in breast cancer tissue with survival among patients with early-stage TNBC who were treated with locoregional therapy but no chemotherapy. Design, Setting, and Participants Retrospective pooled analysis of individual patient-level data from 13 participating centers in North America (Rochester, Minnesota; Vancouver, British Columbia, Canada), Europe (Paris, Lyon, and Villejuif, France; Amsterdam and Rotterdam, the Netherlands; Milan, Padova, and Genova, Italy; Gothenburg, Sweden), and Asia (Tokyo, Japan; Seoul, Korea), including 1966 participants diagnosed with TNBC between 1979 and 2017 (with follow-up until September 27, 2021) who received treatment with surgery with or without radiotherapy but no adjuvant or neoadjuvant chemotherapy. Exposure TIL abundance in breast tissue from resected primary tumors. Main Outcomes and Measures The primary outcome was invasive disease-free survival [iDFS]. Secondary outcomes were recurrence-free survival [RFS], survival free of distant recurrence [distant RFS, DRFS], and overall survival. Associations were assessed using a multivariable Cox model stratified by participating center. Results This study included 1966 patients with TNBC (median age, 56 years [IQR, 39-71]; 55% had stage I TNBC). The median TIL level was 15% (IQR, 5%-40%). Four-hundred seventeen (21%) had a TIL level of 50% or more (median age, 41 years [IQR, 36-63]), and 1300 (66%) had a TIL level of less than 30% (median age, 59 years [IQR, 41-72]). Five-year DRFS for stage I TNBC was 94% (95% CI, 91%-96%) for patients with a TIL level of 50% or more, compared with 78% (95% CI, 75%-80%) for those with a TIL level of less than 30%; 5-year overall survival was 95% (95% CI, 92%-97%) for patients with a TIL level of 50% or more, compared with 82% (95% CI, 79%-84%) for those with a TIL level of less than 30%. At a median follow-up of 18 years, and after adjusting for age, tumor size, nodal status, histological grade, and receipt of radiotherapy, each 10% higher TIL increment was associated independently with improved iDFS (hazard ratio [HR], 0.92 [0.89-0.94]), RFS (HR, 0.90 [0.87-0.92]), DRFS (HR, 0.87 [0.84-0.90]), and overall survival (0.88 [0.85-0.91]) (likelihood ratio test, P &amp;lt; 10e-6). Conclusions and Relevance In patients with early-stage TNBC who did not undergo adjuvant or neoadjuvant chemotherapy, breast cancer tissue with a higher abundance of TIL levels was associated with significantly better survival. These results suggest that breast tissue TIL abundance is a prognostic factor for patients with early-stage TNBC.
Mesothelioma: Pleural, Version 1.2024
Stevenson, James, Ettinger, David S. , Wood, Douglas E. , Aisner, Dara L. , Akerley, Wallace , Bauman, Jessica R. , Bruno, Débora S. , DeCamp, Malcolm M., Desai, Aakash , Dilling, Thomas J. , Dowell, Jonathan E. , Durm, Gregory A. , Garassino, Marina Chiara , Gettinger, Scott , Gubens, Matthew A. , Lackner, Rudy P., Maldonado, Fabien , Morgensztern, Daniel , Mullikin, Trey C. , Ng, Thomas, Otterson, Gregory A. , Owen, Dawn , Patel, Sandip Pravin , Riely, Gregory J. , Riess, Jonathan W. , Shapiro, Theresa A. , Singh, Aditi P. , Tam, Alda L. , Yang, Stephen C. , Yau, Edwin , Gregory, Kristina M., Hang, Lisa, Desai, Aakash P , Bharat, Ankit , Chang, Joe Y. , Chirieac, Lucian R. , Grotz, Travis E. , Lanuti, Michael D. , Lin, Jules , Loo, Billy W. , Lovly, Christine Marie , Massarelli, Erminia , Patil, Tejas , Polanco, Patricio Marcelo , Tanvetyanon, Tawee , Yanagawa, Jane

Journal of the National Comprehensive Cancer Network | March 18, 2024 | Volume: 22 | Issue: 2 | Pages: 72-81

10.6004/jnccn.2024.0014 | PMID 38503043 Get It

Mesothelioma is a rare cancer that originates from the mesothelial surfaces of the pleura and other sites, and is estimated to occur in approximately 3,500 people in the United States annually. Pleural mesothelioma is the most common type and represents approximately 85% of these cases. The NCCN Guidelines for Mesothelioma: Pleural provide recommendations for the diagnosis, evaluation, treatment, and follow-up for patients with pleural mesothelioma. These NCCN Guidelines Insights highlight significant updates to the NCCN Guidelines for Mesothelioma: Pleural, including revised guidance on disease classification and systemic therapy options.
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.
Presynaptic Dopaminergic Imaging Characterizes Patients with REM Sleep Behavior Disorder Due to Synucleinopathy
Arnaldi, Dario , Mattioli, Pietro , Raffa, Stefano, Pardini, Matteo , Massa, Federico , Iranzo, Álex , Perissinotti, Andrés , Gaig, Carles , Serradell, Mónica , Muñoz‐Lopetegi, Amaia , Mayà, Gerard , Liguori, Claudio , Fernandes, Mariana , Miyagawa, Toji , Lowe, Val J. , Puligheddu, Monica , Serra, Alessandra , Hu, Michele T., Klein, Johannes , Bes, Frédérik , Kunz, Dieter , Verbizier, Delphine de, Kulcsárová, Kristína , Giuliani, Alessandro , Pagani, Marco , Group, International REM Sleep Behavior Disorder Study, Liguori, Claudio , Miyamoto, Tomoyuki , Kunz, Dieter , Antelmi, Elena , Terzaghi, Michele , Massa, Federico , Maya, Gerard , Puligheddu, Monica , Kulcsarova, Kristina , Mattioli, Pietro , Arnaldi, Dario , Niñerola‐Baizán, Aida , Gaig, Carles , Placidi, Fabio , Chiaravalloti, Agostino , Šonka, Karel , Dušek, Petr , Zogala, David , Trnka, Jiří , Boeve, Bradley F. , Miyamoto, Tomoyuki , Miyamoto, Masayuki , Figorilli, Michela , Hu, Michele T., Cochen De Cock, Valérie , Plazzi, Giuseppe , Antelmi, Elena , Bossert, Irene , Martino, Alessio , Nobili, Flavio Mariano , Morbelli, Silvia , Group, International REM Sleep Behavior Disorder Study

Annals of Neurology | March 11, 2024 | Volume: 95 | Issue: 6 | Pages: 1178-1192

10.1002/ana.26902 | PMID 38466158 Get It

Objective To apply a machine learning analysis to clinical and presynaptic dopaminergic imaging data of patients with rapid eye movement (REM) sleep behavior disorder (RBD) to predict the development of Parkinson disease (PD) and dementia with Lewy bodies (DLB). Method s In this multicenter study of the International RBD study group, 173 patients (mean age 70.5 ± 6.3 years, 70.5% males) with polysomnography‐confirmed RBD who eventually phenoconverted to overt alpha‐synucleinopathy (RBD due to synucleinopathy) were enrolled, and underwent baseline presynaptic dopaminergic imaging and clinical assessment, including motor, cognitive, olfaction, and constipation evaluation. For comparison, 232 RBD non‐phenoconvertor patients (67.6 ± 7.1 years, 78.4% males) and 160 controls (68.2 ± 7.2 years, 53.1% males) were enrolled. Imaging and clinical features were analyzed by machine learning to determine predictors of phenoconversion. Results Machine learning analysis showed that clinical data alone poorly predicted phenoconversion. Presynaptic dopaminergic imaging significantly improved the prediction, especially in combination with clinical data, with 77% sensitivity and 85% specificity in differentiating RBD due to synucleinopathy from non phenoconverted RBD patients, and 85% sensitivity and 86% specificity in discriminating PD‐converters from DLB‐converters. Quantification of presynaptic dopaminergic imaging showed that an empirical z ‐score cutoff of −1.0 at the most affected hemisphere putamen characterized RBD due to synucleinopathy patients, while a cutoff of −1.0 at the most affected hemisphere putamen/caudate ratio characterized PD‐converters. Interpretation Clinical data alone poorly predicted phenoconversion in RBD due to synucleinopathy patients. Conversely, presynaptic dopaminergic imaging allows a good prediction of forthcoming phenoconversion diagnosis. This finding may be used in designing future disease‐modifying trials. ANN NEUROL 2024;95:1178–1192
Chronic Myeloid Leukemia, Version 2.2024, NCCN Clinical Practice Guidelines in Oncology
Shah, Neil P. , Bhatia, Ravi , Altman, Jessica K. , Amaya, Maria L. , Begna, Kebede H. , Berman, Ellin , Clements, Joan , Collins, Robert H. , Curtin, Peter , Drazer, Michael W. , Maness, Lori J., Metheny, Leland , Moore, Joseph O., Oehler, Vivian G. , Pratz, Keith W. , Pusic, Iskra , Rose, Michal G., Shomali, William , Styler, Michael , Tanaka, Tiffany , Tantravahi, Srinivas K. , Thompson, James E. , Tsai, Steven , Vaughn, Jennifer E. , Welborn, Jeanna, Yang, David T. , Sundar, Hema, Gregory, Kristina M., Drazer, Michael , Bhatia, Ravi , Chan, Onyee , DeAngelo, Daniel J. , Mohan, Sanjay , Smith, B. Douglas , Talpaz, Moshe , Amaya, Maria

Journal of the National Comprehensive Cancer Network | February 23, 2024 | Volume: 22 | Issue: 1 | Pages: 43-69

10.6004/jnccn.2024.0007 | PMID 38394770 Get It

Chronic myeloid leukemia (CML) is defined by the presence of Philadelphia chromosome resulting from a reciprocal translocation between chromosomes 9 and 22 [t9;22] that gives rise to a BCR::ABL1 fusion gene. CML occurs in 3 different phases (chronic, accelerated, and blast phase) and is usually diagnosed in the chronic phase in developed countries. Tyrosine kinase inhibitor (TKI) therapy is a highly effective treatment option for patients with chronic phase–CML. The primary goal of TKI therapy in patients with chronic phase–CML is to prevent disease progression to accelerated phase–CML or blast phase–CML. Discontinuation of TKI therapy with careful monitoring is feasible in selected patients. This manuscript discusses the recommendations outlined in the NCCN Guidelines for the diagnosis and management of patients with chronic phase–CML.