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2716 citation(s) found for "Ma, Michelle".

Clinical Manifestations and Treatment Responses in Pediatric Neurofascin 155-IgG4 Autoimmune Nodopathy
Rashed, Hebatallah R. , Paramasivan, Naveen Kumar , Selcen, Duygu , Dyck, P. James B. , Thakolwiboon, Smathorn , Mauermann, Michelle L. , Mills, John R. , Dubey, Divyanshu , Mills, J R , Dubey, Divyanshu , Mauermann, Michelle L , Thakolwiboon, Smathorn , Paramasivan, Naveen K

Neurology Neuroimmunology & Neuroinflammation | January 17, 2025 | Volume: 12 | Issue: 2 | Pages: No page available

10.1212/nxi.0000000000200368 | PMID 39823553 Get It

Palliative Care Initiated in the Emergency Department
Siman, Nina , Adeyemi, Oluwaseun , Yamarik, Rebecca , Investigators, PRIM-ER, Bellolio, Fernanda , Bourenane, Sorayah, Brody, Abraham A. , Cameron, Lauren , Cooper, Julie J. , Deutsch, Ashley, Elsayem, Ahmed , Fleischer-Black, Jessica, Gang, Mauren, Goett, Rebecca , Heaton, Heather A. , Hill, Jacob , Isaacs, Eric, Jubanyik, Karen , Lamba, Sangeeta , Lin, Michelle , Loprinzi-Brauer, Caitlin , Madsen, Troy , Modrek, Ada, Otero, Ronny, Ouchi, Kei , Richardson, Christopher , Richardson, Lynne D. , Schoenfeld, Elizabeth , Shreves, Ashley, Tan, Audrey , Uspal, Julie, Venkat, Arvind , Walker, Laura , Wittman, Ian, Zimny, Erin, Miller, Joseph , Heaton, Heather, Bellolio, M Fernanda , Schoenfeld, Elizabeth M , Grudzen, Corita R. , Cuthel, Allison M. , Goldfeld, Keith S. , Investigators, PRIM-ER, Abella, Benjamin S. , Chodosh, Joshua , Elie, Marie‐Carmelle , Fernandez, Rosemarie , Gang, Mauren, Genes, Nicholas , Horwitz, Leora Idit , Lawrence, Katharine , Miller, Joseph S. A. , Ryan, Matthew, Shaw, Matthew, Southerland, Lauren T.

JAMA | January 15, 2025 | Volume: 333 | Issue: 7 | Pages: 599

10.1001/jama.2024.23696 | PMID 39813042 Get It

Importance The emergency department (ED) offers an opportunity to initiate palliative care for older adults with serious, life-limiting illness. Objective To assess the effect of a multicomponent intervention to initiate palliative care in the ED on hospital admission, subsequent health care use, and survival in older adults with serious, life-limiting illness. Design, Setting, and Participants Cluster randomized, stepped-wedge, clinical trial including patients aged 66 years or older who visited 1 of 29 EDs across the US between May 1, 2018, and December 31, 2022, had 12 months of prior Medicare enrollment, and a Gagne comorbidity score greater than 6, representing a risk of short-term mortality greater than 30%. Nursing home patients were excluded. Intervention A multicomponent intervention (the Primary Palliative Care for Emergency Medicine intervention) included (1) evidence-based multidisciplinary education; (2) simulation-based workshops on serious illness communication; (3) clinical decision support; and (4) audit and feedback for ED clinical staff. Main Outcome and Measures The primary outcome was hospital admission. The secondary outcomes included subsequent health care use and survival at 6 months. Results There were 98 922 initial ED visits during the study period (median age, 77 years [IQR, 71-84 years]; 50% were female; 13% were Black and 78% were White; and the median Gagne comorbidity score was 8 [IQR, 7-10]). The rate of hospital admission was 64.4% during the preintervention period vs 61.3% during the postintervention period (absolute difference, −3.1% [95% CI, −3.7% to −2.5%]; adjusted odds ratio [OR], 1.03 [95% CI, 0.93 to 1.14]). There was no difference in the secondary outcomes before vs after the intervention. The rate of admission to an intensive care unit was 7.8% during the preintervention period vs 6.7% during the postintervention period (adjusted OR, 0.98 [95% CI, 0.83 to 1.15]). The rate of at least 1 revisit to the ED was 34.2% during the preintervention period vs 32.2% during the postintervention period (adjusted OR, 1.00 [95% CI, 0.91 to 1.09]). The rate of hospice use was 17.7% during the preintervention period vs 17.2% during the postintervention period (adjusted OR, 1.04 [95% CI, 0.93 to 1.16]). The rate of home health use was 42.0% during the preintervention period vs 38.1% during the postintervention period (adjusted OR, 1.01 [95% CI, 0.92 to 1.10]). The rate of at least 1 hospital readmission was 41.0% during the preintervention period vs 36.6% during the postintervention period (adjusted OR, 1.01 [95% CI, 0.92 to 1.10]). The rate of death was 28.1% during the preintervention period vs 28.7% during the postintervention period (adjusted OR, 1.07 [95% CI, 0.98 to 1.18]). Conclusions and Relevance This multicomponent intervention to initiate palliative care in the ED did not have an effect on hospital admission, subsequent health care use, or short-term mortality in older adults with serious, life-limiting illness. Trial Registration ClinicalTrials.gov Identifier: NCT03424109
Dermatofibrosarcoma Protuberans, Version 1.2025, NCCN Clinical Practice Guidelines In Oncology
Blitzblau, Rachel , Aasi, Sumaira Z. , Alam, Murad, Amini, Arya , Bibee, Kristin , Bolotin, Diana, DiMaio, Dominick J. , Farma, Jeffrey M. , Ghosh, Karthik, Harms, Kelly L. , LeBoeuf, Nicole R. , Lukens, John N. , Manber, Susan, Mark, Lawrence A. , Medina, Theresa , Nehal, Kishwer S. , Paragh, György , Patel, Tejesh , Rich, Jason T. , Shaha, Ashok R. , Sharma, Bhavina, Sokumbi, Yemi, Thomas, Valencia D., Tomblinson, Courtney M. , Venkat, Puja , Xu, Yaohui , Yu, Siegrid S., McCullough, Beth, Espinosa, Sara, Bordeaux, Jeremy S. , Chen, Pei-Ling , Contreras, Carlo M. , Donigan, Jessica M. , Medina, Theresa Michelle , Nghiem, Paul , Olino, Kelly L. , Park, Soohyung , Sharma, Bhavina, Srivastava, Divya , Yusuf, Mehran Behruj

Journal of the National Comprehensive Cancer Network | January 15, 2025 | Volume: 23 | Issue: 1 | Pages: No page available

10.6004/jnccn.2025.0001 | PMID 39819674 Get It

Dermatofibrosarcoma protuberans (DFSP) is a rare cutaneous soft tissue sarcoma and affects an estimated 1,500 people annually in the United States. DFSP frequently exhibits extensive local infiltration. Initial treatment is through surgical excision, and care should be taken to ensure that negative margins are achieved to minimize recurrence. Although DFSP has a reported high rate of recurrence, metastasis is more uncommon. Fibrosarcomatous DFSP is an aggressive variant with an increased risk for local recurrence and metastasis. If achieving negative margins or resection is not feasible, radiation therapy or systemic treatment are options that may be considered by a multidisciplinary team. The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) outline recommended treatment options available for DFSP.
Donation After Circulatory Death Liver Transplantation: Impact of Normothermic Machine Perfusion on Key Variables
Stoker, Alexander D., Gorlin, Andrew , Rosenfeld, David M. , Mathur, Amit K. , Buckner‐Petty, Skye , Frasco, Peter E. , Gorlin, Andrew W, Buckner-Petty, Skye A, Lizaola-Mayo, Blanca C, Nguyen, Michelle , Lizaola‐Mayo, Blanca

Anesthesia & Analgesia | January 14, 2025 | Volume: 140 | Issue: 3 | Pages: 687-696

10.1213/ane.0000000000007093 | PMID 39808582 Get It

BACKGROUND: During orthotopic liver transplantation, allograft reperfusion is a dynamic point in the operation and often requires vasoactive medications and blood transfusions. Normothermic machine perfusion (NMP) of liver allografts has emerged to increase the number of transplantable organs and may have utility during donation after circulatory death (DCD) liver transplantation in reducing transfusion burden and vasoactive medication requirements. METHODS: This is a single-center retrospective study involving 226 DCD liver transplant recipients who received an allograft transported with NMP (DCD-NMP group) or with static cold storage (DCD-SCS group). Veno-venous bypass was not used in any patients. Infusion doses of norepinephrine, epinephrine, and vasopressin as well as bolus doses of vasoactive medications during reperfusion were recorded. Blood component therapy was recorded according to phase of liver transplantation and during the first 24 hours postprocedure. RESULTS: A total of 103 recipients in the DCD-NMP group and 123 patients in the DCD-SCS group were included. Post-reperfusion syndrome (PRS) incidence was reduced in the DCD-NMP group compared to the DCD-SCS group (10.7% [95% confidence interval, CI, 5.5%–18.3%] vs 42.3% [95% CI, 33.4%–51.5%]; P < .001). During the reperfusion period, patients in the DCD-SCS group required increased bolus doses of epinephrine and vasopressin compared to the DCD-NMP group (24.6 vs 7.5 µg; P < .001) and (5.4 vs 2.4 units; P < .001), respectively. The DCD-SCS group received a higher infusion dose of epinephrine during anhepatic phase, at reperfusion, and up to 90 minutes after reperfusion. In the postreperfusion period, there were significant increases in the transfusion of red blood cells (RBCs; 5.3 vs 3.7 units; P = .006), fresh frozen plasma (FFP; 3.4 vs 1.9 units; P < .001), cryoprecipitate (2.7 vs 1.8 pooled units; P = .015) and platelets (0.9 vs 0.4 units; P = .008) in the DCD-SCS group compared to the DCD-NMP group. During the first 24 hours postprocedure, transfusion of RBCs, FFP, and cryoprecipitate in the DCD-SCS group was increased compared to the DCD-NMP group ([2.6 vs 1.7 units; P = .028], [1.6 vs 0.8 units; P < .001], [1.5 vs 0.9 pooled units; P = .031]) respectively. Administration of tranexamic acid was more frequent in the DCD-SCS group during the post-reperfusion period compared to the DCD-NMP group (13% [95% CI, 5.7%–17.4%] vs 3.9% [95% CI, 1.1%–9.6% 95%]; P = .018). CONCLUSIONS: In DCD liver transplantation, use of NMP was associated with reduced incidence of PRS and decreased vasopressor and inotrope requirements at the time of allograft reperfusion compared to using SCS. Additionally, NMP was associated with reduced transfusion of all blood product components as well as antifibrinolytic agent administration in the post-reperfusion period. Reduced transfusion burden in the DCD-NMP group also occurred during the first 24 hours posttransplant.
Five-Year Results With Patisiran for Hereditary Transthyretin Amyloidosis With Polyneuropathy
Wixner, Jonas , Polydefkis, Michael , Ueda, Mitsuharu , Bender, Shaun, Jay, Patrick Y. , Yureneva, Elena, group, patisiran Global OLE study, Vita, Giuseppe, Rizzo, Vincenzo , Wiesman, Janice F. , Lau, Vincent , DeLong, Douglas, May, John J., Delmont, Émilien , Pouget, Jean, Grapperon, Aude‐Marie , Campana-Salort, Emmanuelle, Coutinho, Conceição de Azevedo, Campos, Catarina Falcão de , Coelho, Teresa , Reis, Antonio Hipólito, Pérez, Javier Martínez , Silva, Ana Martins da, Alves, Cristina , Cardoso, Márcio , Valdrez, Kátia, Monte, Julia R, Novais, Marta , Guimarães, Nádia, Cardoso, Inês , Freitas, Mónica, Ferreira, Natália , Kuzume, Daisuke , Morimoto, Yuko, Gauvain, Clément , Migaud-Chervy, Maria-Claire, Deplanque, Dominique , Jozefowicz, Elsa, Théaudin-Saliou, Marie, Cauquil-Michon, Cécile, Labeyrie, Céline , Not, Adeline , Lecoq, Anne-Lise , Stephant, Maeva, Echaniz‐Laguna, Andoni , Becquemont, Laurent , Beaudonnet, Guillemette , Eliahou, Ludivine , Slama, Michel , Signaté, Aïssatou , Darche, Paola, Grimaud, Jérôme, Berthelot, Emeline, Inamo, Jocelyn , Gendre, Thierry , Arrouasse, Raphaele , Ernande, Laura , Salhi, Hayet, Choumert, Ariane , Charlin, Cyril, Megelin, Thomas, Brannagan, Thomas H., Tsang, Steven, Wajnsztajn, Fernanda, Shije, Jeffrey, Ulane, Christina, Kleyman, Inna , Weimer, Louis H., Cioroiu, Comana , Kleopa, Kleopas A. , Zamba‐Papanicolaou, Eleni , Tada, Satoshi , Nagai, Masahiro , Ando, Rina, Yamanishi, Yuki , Overcash, J. Scott , Green, Sinikka, Coskun, Derya J, Manos, Paul S. , Zepeda, Karla A, O’Riordan, William, Cortese, Andrea , Bernardo, Daniela, Paolantonio, Andrea Di , Guglielmino, Valeria , Kristen, Arnt V. , Nagel, Christian , Siepen, Fabian aus dem , Hein, Selina , Campistol, Josep M. , Marín, Lida María Rodas, Pelicano, Josep Miquel Blasco, Dávila, Lucía Galán, Cordoba, Vanesa Pytel, Sola, A. Guerrero, Feijoo, Julián García, Isla, Leopoldo Pérez de , Moreira, Carolina Lavigne , Marques, Vanessa Daccach , Beamud, Francisco Muñoz, Borrachero, Cristina, Sanz, Mónica, Oliver, E, Moreno, Juan González, Martinez, J. Michael, Descals, Cristina, Usón, Mercedes, Vega, Francisco Jose, Figuerola, Antoni, Montalà, Carles, Abreu, Aline França de , Silva, Moises Dias da, Rosa, Renata Gervais de Santa, Berensztejn, Amanda Cardoso, Guedes, Mariana de Andrade, Lautre, Andrea, Orellana, Lucas, Briseño, Maria Alejandra González-Duarte, Parra, David Rivera de la, Reyes, Jose Pablo Hernandez, Alba, Maria del Mar Saniger, Parman, Yeşim , Serbest, Nail Güven , Durmuş, Hacer , Karamürsel, Saçit , Elitok, Ali, Inan, Nermin G Sirin, Altinkurt, Emre, Polydefkis, Michael, Allen, Adriane C, Chaudhry, Vinay , Jarrett, R. J., Bressler, Neil M. , Khoshnoodi, Mohammad , Lui, Alvin T, Chung, Tae , Vista, Geno, Shah, Syed Mahmood , Hamaguchi, Hirotoshi , Oda, Tetsuya , Shimomura, Masahiro, Kim, Hee Jin, Misumi, Yohei , Nomura, Toshiya , Tateishi, Takahisa , Mauricio, Elizabeth A. , Dimberg, Elliot L., Fonder, Amie , Hobbs, Miriam, Dyck, P. James B. , Leung, Nelson , Hwa, Yi L. , Kapoor, Prashant , Kumar, Shaji , Dingli, David , Gove, Linde E., Dalia, Samir , Croy, David, Holding, Tim, Gorevic, Peter D., Su, Jen-Jen , Lin, Chao-Wen, Ajroud‐Driss, Senda , Sufit, Robert , Li, John-Michael, Freimer, Miriam , LoRusso, Samantha, Aso, Yasuhiro , Kim, Byoung‐Joon , Kim, JuHyeon, Jeon, Eun‐Seok , Seok, Jin Myoung , Park, Jae Hong , Sekijima, Yoshiki , Kato, Naga-aki, Hineno, Akiyo , Kodaira, Minori , Yoshinaga, Tsuneaki , Takasone, Ken, Miyahara, Teruyoshi, Takahashi, Yusuke , Matsumoto, Kazuhiko , Lin, Kon-Ping, Lee, Yi‐Chung , Wixner, Jonas, Pilebro, Björn, Nordh, Erik, Chermenina, Maria, Nygren, Anneli, Tournev, Ivaylo, Zhelyazkova, Sashka , Cherneva, Zheyna , Sarafov, S., Cherninkova-Gopina, Sylvia, Vorona, Elena, Huesing-Kabar, Anna, Schilling, Matthias , Kabar, Iyad , Martinez–Naharro, Ana , Chacko, Liza , Cohen, Oliver , Law, Steven , Rezk, Tamer , Quan, Dianna , Dixon, Stacy, Fridman, Vera , Low, Soon-Chai , Mezei, Michelle M. , Jack, Kristin, Wade, N. Kevin, Lopate, Glenn, Geisler, Stephanie , Sommerville, R. Brian, Florence, Julaine, Stewart, Graeme J., Taylor, Mark , Suan, Daniel, Dingli, David , Gillmore, Julian D , Lee, Yi-Chung , Karamursel, Sacit , Adams, David , Berk, John L. , Conceição, Isabel , Dispenzieri, Angela , Peltier, Amanda , Bender, Shaun , Capocelli, Kelley, Obici, Laura , group, patisiran Global OLE study, Vita, Giuseppe, Russo, Massimo , Mazzeo, Anna Teresa , Gentile, Luca, Kaku, Michelle C. , Lau, Vincent, Dalton, James, May, John, Attarian, Shahram , Verschueren, Annie , Campana-Salort, Emmanuelle, Neves, Carlos, Santos, Miguel Oliveira , Coelho, Teresa, Correia, Nuno, Perez, Javier M, Silva, Ana Martins da, Ramalho, Joana, Yamasaki, Masahiro , Morimoto, Yuko, Tard, Céline , Hachulla, É. , Lebellec, Loïc , Théaudin, Marie , Al‐Salameh, Abdallah , Algalarrondo, Vincent , Rousseau, Antoine , Planté‐Bordeneuve, Violaine , Ayache, Samar S. , Corvoisier, Philippe Le , Waters, Michael, Manos, Paul, Lozza, Alessandro , Merlini, Giampaolo , Rosti, Vittorio , Sabatelli, Mario , Bisogni, Giulia , Luigetti, Marco , Romano, Ângela , Nienhuis, Hans L. A. , Neshige, Shuichiro , Horga, Alejandro , Feijoo, Julián García, Marques, Wilson , López, Inés AL, Sanz, Monica, Martinez, Jose M Gamez, Waddington‐Cruz, Márcia , Abreu, Aline Souza de, Silva, Moises Dias da, Pinto, Marcus Vinícius , Pinto, Luiz Felipe , Barroso, Fábio , Briseno, Maria Alejandra Gonzalez Duarte, Cárdenas‐Soto, Karla , Cantú-Brito, Carlos Gerardo , Şahin, Erdi , Çakar, Arman , İNAN, NERMİN GÖRKEM ŞİRİN, Polydefkis, Michael, Jarrett, Raquel, Singh, Mandeep , Judge, Daniel P. , Lui, Alvin T, Vista, Geno, Shimomura, Masahiro, Scheid, Christof , Holtick, Udo , Oh, Jeeyoung , Kim, Hee Jin, Shin, Hyun Jin , Choi, Kyomin , Mauricio, Elizabeth A. , Cooper, Leslie T. , Gonsalves, Wilson I. , Witzig, Thomas E. , Lin, Yi , Rajkumar, S. Vincent , Gertz, Morie A. , Chao, Chi‐Chao , Lee, Ming‐Jen , Hsieh, Sung‐Tsang , Tsai, Li‐Kai , Yeh, Shin‐Joe , Yang, Chih‐Chao , Lee, Ga-Yeon , Cho, Eun Bin , Min, Ju‐Hong , Lee, Hye Lim , Kishida, Dai , Imai, Akira, Lin, Kon‐Ping, Wixner, Jonas, Suhr, Ole B. , Anan, Intissar , Nordh, Erik, Domellöf, Fátima Pedrosa , Chamova, Teodora , Schmidt, Hartmut , Tepasse, Phil‐Robin , Gillmore, Julian D. , Lachmann, Helen J. , Goh, Khean Jin , Geisler, Stephanie, Taylor, Mark, Suan, Dan

JAMA Neurology | January 13, 2025 | Volume: 82 | Issue: 3 | Pages: 228

10.1001/jamaneurol.2024.4631 | PMID 39804640 Get It

Importance There is a lack of long-term efficacy and safety data on hereditary transthyretin amyloidosis with polyneuropathy (hATTR-PN) and on RNA interference (RNAi) therapeutics in general. This study presents the longest-term data to date on patisiran for hATTR-PN. Objective To present the long-term efficacy and safety of patisiran in adults with hATTR-PN. Design, Setting, and Participants This global open-label extension (OLE) of the APOLLO randomized clinical trial and phase 2 OLE study enrolled patients from 43 hospitals or clinical centers across 19 countries between July 2015 and August 2017, with follow-up until November 2022. Of 212 eligible patients with hATTR who completed the phase 3 APOLLO or phase 2 OLE parent studies, 211 enrolled in and 138 completed the global OLE. Intervention Patisiran, 0.3 mg/kg, intravenously once every 3 weeks for up to 5 years. Main Outcomes and Measures Outcomes evaluated at year 5 of the global OLE included disability (polyneuropathy disability [PND] score); polyneuropathy severity (Neuropathy Impairment Score [NIS]), nutritional status (modified body mass index [mBMI]), quality of life (Norfolk Quality of Life–Diabetic Neuropathy [Norfolk QOL-DN]), and Rasch-Built Overall Disability Scale (R-ODS), with no statistical hierarchy. Safety, survival probability, and mortality were also assessed. Results At the global OLE baseline, the mean (SD) age was 61.3 (12.3) years, and 156 patients (73.9%) were male. In 138 patients completing the study, PND scores remained stable or improved in 89 patients (65.0%), NISs showed a mean (SD) change of 10.9 (14.7), and mean (SD) mBMI (calculated as weight in kilograms divided by height in meters squared times serum albumin in grams per liter) increased by 46.4 (120.7) over 5 years from baseline. Norfolk QOL-DN and R-ODS scores showed mean (SD) changes of 4.1 (16.7) and –3.7 (6.2), respectively. Adverse events (AEs) leading to study withdrawal occurred in 47 patients (22.3%). Infusion-related reactions were the most common treatment-related AE (n = 34 [16.1%]). Overall, 41 patients (19.4%) died during the study. Patisiran treatment in the parent study and low familial amyloid polyneuropathy score at parent study baseline were associated with significantly improved survival. Conclusions and Relevance In the longest study of an RNAi therapeutic for any disease, patisiran treatment resulted in modest changes for patients with hATTR-PN with an acceptable safety profile. These results highlight the importance of initiating early treatment for hATTR and the potential of RNAi therapeutics in medicine. Trial Registration ClinicalTrials.gov Identifier: NCT02510261
Distinguishing Chronic Inflammatory Demyelinating Polyneuropathy From Mimic Disorders: The Role of Statistical Modeling
Swart, Grace , Lewis, Richard A. , Dubey, Divyanshu , Spies, Judith , Laughlin, Ruple S. , Santilli, Ashley R. , Rashed, Hebat‐Allah G, Mirman, Igal, Swart, Alexander , Berini, Sarah E. , Shouman, Kamal , Mauermann, Michelle L. , Mills, John R. , Dyck, P. James B. , Harmsen, William S. , Mandrekar, Jay , Dubey, Divyanshu , Rashed, Hebatallah R. , Skolka, Michael P , Allen, Jeffrey A , Thakolwiboon, Smathorn , Rashed, Hebatallah, Klein, Christopher J , Dubey, Divyanshu , Mauermann, Michelle L , Shelly, Shahar , Allen, Jeffrey A. , Niu, Zhiyv , Pinto, Marcus Vinícius , Klein, Christopher J.

Journal of the Peripheral Nervous System | January 13, 2025 | Volume: 30 | Issue: 1 | Pages: No page available

10.1111/jns.12682 | PMID 39801067 Get It

ABSTRACTBackground and AimsChronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is difficult to distinguish from mimicking disorders, with misdiagnosis resulting in IVIG overutilization. We evaluate a clinical‐electrophysiological model to facilitate CIDP versus mimic neuropathy prediction.MethodsUsing the European Academy of Neurology/Peripheral Nerve Society (EAN/PNS) 2021 CIDP guidelines we derived 26 clinical and 144 nerve conduction variables. The model was generated and validated utilizing total CIDP (n = 129) and mimics (n = 309); including (1) IgG4‐nodopathies; (2) POEMS (polyneuropathy–organomegaly–endocrinopathy–monoclonal protein‐skin changes); (3) anti‐myelin‐associated‐glycoprotein; (4) paraneoplastic; (5) Waldenström B‐cell lymphoma; (6) diabetic neuropathies; (7) amyloidosis; (8) Charcot–Marie–Tooth; (9) motor neuropathies/neuronopathies; and (10) idiopathic‐inflammatory‐myopathies.ResultsWe analyzed 9282 clinical and 51 408 electrophysiological data points. Univariate analysis identified 11 of 26 clinical variables with significant odds ratios. A multivariate regression model using four clinical and two electrophysiologic variables achieved 93% area‐under‐curve (95% CI 91–95): progression over 8 weeks (OR 40.66, 95% CI 5.31–311.36), absent autonomic involvement (OR 17.82, 95% CI 2.93–108.24), absent muscle atrophy (OR 16.65, 95% CI 3.27–84.73), proximal weakness (OR 3.63, 95% CI 1.58–8.33), ulnar motor conduction velocity slowing < 35.7 m/s (OR 5.21, 95% CI 2.13–12.76), and ulnar motor conduction block (OR 13.37, 95% CI 2.47–72.40). A web‐based probability calculator (https://news.mayocliniclabs.com/cidp‐calculator/) was developed, with 100% sensitivity and 68% specificity at a 92% probability threshold. Specificity improved to 93% when considering “red flags,” electrophysiologic criteria, and laboratory testing.InterpretationA probability calculator using clinical electrophysiological variables assists CIDP differentiation from mimics, with scores below 92% unlikely to have CIDP. The highest specificity is achieved by considering clinical “red flags,” electrophysiologic demyelination, and laboratory testing.
A Qualitative Assessment of Barriers, Facilitators, and Outcomes in a Simulation-Based Collaborative Quality Improvement Program
Alletag, Michelle, Kant, Shruti, Ittersum, Wendy L. Van, Walls, Theresa A. , Montgomery, Erin , Mannenbach, Mark S., Auerbach, Marc , Auerbach, Marc A, Anderson, Hannah L. Kakara

Pediatric Emergency Care | January 9, 2025 | Volume: 41 | Issue: 4 | Pages: 273-280

10.1097/pec.0000000000003321 | PMID 39787042 Get It

Objectives: ImPACTS (Improving Acute Care Through Simulation) is a collaborative simulation-based program partnering pediatric specialty centers (“hubs”) with general emergency departments (GEDs) to improve pediatric acute care. Objective measurements of ImPACTS, such as evaluating Pediatric Readiness Score (PRS) and simulation-based outcome improvements, have been reported previously. Barriers to and facilitators of program involvement and the downstream effects of the program have not been previously described. This study explores these aspects and key drivers for successful collaboration. Methods: The authors performed open coding of semistructured interviews of hub team members and pediatric emergency care coordinators (PECCs) from community GED “spokes.” We then identified and explored themes within the categories of barriers to, facilitators of, and barrier mitigation strategies for successful partnerships from the perspectives of both groups. Results: Analysis generated 4 dominant themes: buy-in, communication, personnel, and logistics. Engagement, institutional support, and buy-in of site leaders and individual participants were crucial to successful implementation, without which the programs were not completed or never started. Hubs benefited from project involvement via increased local engagement in pediatric readiness, organizational support, and further buy-in from institutional leadership, allowing for the future continuation of ImPACTS and similar programs. Benefits experienced by GEDs impacted education, pediatric readiness, and clinical and financial partnerships across institutions. Additionally, spoke interviewees cited downstream effects of participation, including increased collaboration and improved relationships with hub sites as being the most impactful. Conclusion: Understanding the key drivers of all collaborators is instrumental in successfully implementing large-scale educational and quality initiatives like the ImPACTS program.
Plasma and MRI biomarkers predict post‐mortem tau pathology
Hu, Mingzhao, Przybelski, Scott A. , Fought, Angela J. , Rothberg, Darren M., Reichard, Ross R., Petersen, Ronald C. , Graff‐Radford, Jonathan, Moloney, Christina M. , Algeciras‐Schimnich, Alicia , Nguyen, Aivi T. , Dickson, Dennis W. , Knopman, David S. , Jack, Clifford R. , Mielke, Michelle M. , Graff‐Radford, Jonathan , Murray, Melissa E. , Vemuri, Prashanthi

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S2 | Pages: No page available

10.1002/alz.090563 Get It

AbstractBackgroundImaging and plasma markers are used as key indicators of disease for Alzheimer’s disease (AD) but their usefulness in predicting regional tau pathology is relatively understudied. Our objective was to construct predictive models for regional tau pathology measured on postmortem brain tissue using multiple ante‐mortem AD biomarkers. We focused on hippocampal and parietal regions that were immunostained with AT8 and 2E9 that reflect early and advanced aspects of tangle maturity, respectively.MethodsUsing autopsy data from 63 participants enrolled in the Mayo Clinic Study of Aging (MCSA) where the last clinical visit is within three years of death, we analyzed three ante‐mortem plasma markers ‐ phosphorylated tau protein at the threonine 181 residue, glial fibrillary acidic protein, total β‐amyloid Aβ42 relative to Aβ40 ratio (Quanterix Simoa HD‐X Analyzer), and three regional MRI markers computed using SPM12 ‐ parietal thickness, parietal volume relative to total intracranial volume ratio, and hippocampal volume adjusted for total intracranial volume. Based on eight separate cross‐sectional linear regression models weighted by the inverse of time from last visit to death, we estimated the multiple and partial R2 predicting post‐mortem pathology measures, including AT8 and 2E9 in both the hippocampal and parietal regions. All models were adjusted for age, sex, and cardiovascular and metabolic conditions score.ResultsThe MRI models (R2 of 0.26‐0.53) had greater predictive power compared to the plasma models (R2 of 0.17‐0.26). The best multiple R2 was 0.53 for prediction of hippocampal AT8 using antemortem hippocampal volume adjusted for total intracranial volume followed by R2 of 0.43 for prediction of hippocampal 2E9 using hippocampal volume adjusted for total intracranial volume. Though the model prediction of parietal AT8 and 2E9 measurements was low (R2 of 0.21‐0.26), parietal thickness exhibited better predictive performance than parietal volume relative to total intracranial volume ratio.ConclusionsThe data we presented here may be utilized to validate biomarkers using regional pathology. Our results support that regional MRI is sensitive to tau pathology. Newer MRI methods should be tested to examine the specificity of newer quantitative measurements to tau pathology.
Older predicted age using AI EKG‐based age prediction is associated with higher Alzheimer’s disease neuropathologic change
Bermudez, Camilo , Syrjanen, Jeremy A. , Friedman, Paul A. , Lopez‐Jimenez, Francisco, Hu, Mingzhao, Petersen, Ronald C., Reichard, Ross R., Graff‐Radford, Jonathan, Attia, Zachi I. , López-Jiménez, Francisco , Petersen, Ronald C. , Knopman, David S. , Ramanan, Vijay K. , Jack, Clifford R. , Nguyen, Aivi T. , Kouri, Naomi , Moloney, Christina M. , Algeciras‐Schimnich, Alicia , Murray, Melissa E. , Mielke, Michelle M. , Vemuri, Prashanthi , Noseworthy, Peter A. , Graff‐Radford, Jonathan

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S2 | Pages: No page available

10.1002/alz.088037 Get It

AbstractBackgroundThere is increasing need for noninvasive biomarkers of Alzheimer’s Disease (AD) neuropathologic change for early detection and intervention through risk‐factor modification and disease‐modifying therapies. One such biomarker is the prediction of chronological age from routine clinical tests such as an electrocardiogram (EKG) to discriminate between observed biological age from chronological age for healthy aging. Deviation of true age from predicted age has been associated with heart failure, hypertension, and coronary heart disease. However, the association between EKG‐based age and underlying neuropathology has not been studied.MethodWe used a cohort of 336 participants from the Mayo Clinic Study of Aging, a population‐based prospective study of residents in Olmsted County, Minnesota, with antemortem EKG and post‐mortem brain autopsy (Table 1 & 2). Age was predicted from EKG using a validated convolutional neural network algorithm. We used ordinal logistic regression to identify associations between lower neuropathologic scores of AD (Thal phase, neuritic plaque score, Braak stage, and overall AD neuropathologic change) and the Age‐Gap, defined as EKG‐predicted age minus chronological age. Results were controlled for true age, sex, and APOE e4 carrier status. Neuropathologic scales were grouped into none, low, intermediate, and high categories. Observations were weighted by the inverse of years between last EKG and time of death to account for the time difference between acquisition of EKG and autopsy.ResultWe found that an increasing Age‐Gap (i.e. older predicted age) was inversely associated with lower overall AD neuropathologic change (OR 0.93 [0.89, 0.97], p = 0.002). Investigation of the components of AD neuropathologic change showed that an increasing Age‐Gap was also inversely associated with lower amyloid metrics such as Thal phase (OR 0.85 [0.80, 0.89], p < 0.001) and neuritic plaque scores (OR 0.91 [0.87, 0.96], p < 0.001), but not tau metrics like Braak staging (OR 1.05 [1.00, 1.10], p = 0.05).ConclusionIn this work, we show that older predicted age on EKG, a noninvasive biomarker associated with vascular and biological aging, is associated with higher amyloid burden and neuropathologic change of AD.
CSF biomarkers of immune activation and Alzheimer’s disease for predicting cognitive impairment risk in the elderly
White, Launia J. , Hendrix, Rachel , Ulrich, Jason D. , Henson, Rachel L. , Knight, William C. , Martens, Yuka A. , Wang, Ni , Starling, Skylar C , Ren, Yingxue , Asmann, Yan W. , Syrjanen, Jeremy A. , Vassilaki, Maria , Petersen, Ronald C. , Kanekiyo, Takahisa , Shue, Francis , Roy, Bhaskar, Xiong, Chengjie , Mielke, Michelle M. , Cruchaga, Carlos , Holtzman, David M. , Bu, Guojun , Heckman, Michael G.

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S2 | Pages: No page available

10.1002/alz.087693 Get It

AbstractBackgroundThe immune system is substantially involved in the development and progression of age‐related cognitive decline and Alzheimer’s disease (AD).MethodAs genetic and environmental factors interactively impact these conditions, we investigated how risk factors such as APOE genotype, age, and sex influence immune activation markers and AD biomarkers in cerebrospinal fluid (CSF) in elderly individuals enrolled in the Mayo Clinic Study of Aging cohort. Among cognitively unimpaired individuals aged over 65 at the baseline visit (N=298), we measured 365 CSF immune activation markers using the proximity extension assay.ResultWe found that age, sex, and diabetes status are associated with altered CSF levels of immune activation markers independently of other factors. For CSF AD biomarkers, we observed significant positive correlations between age and total tau, phosphorylated tau‐181 (p‐tau181), neurofilament light (NfL), and YKL40. APOE4 was also associated with lower Aβ42 and higher SNAP25 in CSF. We further examined whether baseline visit variables can predict cognitive decline, represented by the conversion from CDR=0 to CDR>0. We found that age, Aβ42, NfL, and REG4 were independently correlated with CDR conversion risk. When the cohort was dichotomized by their median values, older participants with lower Aβ42, higher NfL, and higher REG4 at baseline developed cognitive impairment during the follow up with a c‐index of 0.762 while age alone had a c‐index of 0.699.ConclusionTogether, our results suggest that assessing CSF immune activation markers and AD biomarkers can improve the prediction of cognitive impairment risk in the elderly.