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29 citation(s) found for "Rafii, F".

The role of imaging in outcomes and safety monitoring for preclinical intervention studies
Rafii, Michael S. , Vemuri, Prashanthi

Alzheimer's & Dementia | January 9, 2025 | Volume: 20 | Issue: S6 | Pages: No page available

10.1002/alz.085974 Get It

AbstractRecent breakthrough findings in clinical trials on amyloid‐lowering therapies have led to the approval of these drugs for the treatment of amyloid‐ positive elderly individuals who show symptoms of mild cognitive impairment and mild dementia. The next frontier is the testing the efficacy of treatments for secondary prevention of AD dementia. Phase III trials in asymptomatic AD are already under way, raising a host of novel questions on the sequelae of trial participation such as the emotional and social repercussions of biomarker disclosure, understanding the risk of side effects and eventually weighing the risk‐benefit ratio of amyloid‐lowering treatment. In this session jointly organized by the Neuroimaging and Partnering with Research Participants PIAs, I will focus on the participants’ perspective on the role of imaging in outcomes and safety monitoring of preclinical interventional studies. I will outline the importance of a partnership between the study team and participants in the design and conduct of study procedures to ensure that they are both efficient and ethical.
Abstract 4117085: Frequency and Patterns of Paroxysmal Supraventricular Tachycardia Episodes Among Patients Opting For Acute Drug Treatment: Analysis of the NODE-303 Open-Label Etripamil Trial
Hu, Derek , Parody, Maria Lenor, Rafii, Farhad, Stambler, Bruce S. , Shardonofsky, Silvia, Bharucha, David B. , Camm, A. John, Desai, Nihar R. , Ip, James E. , Noseworthy, Peter A. , Pokorney, Sean D. , Singh, Narendra

Circulation | November 13, 2024 | Volume: 150 | Issue: Suppl_1 | Pages: No page available

10.1161/circ.150.suppl_1.4117085 Get It

Background: Etripamil nasal spray (NS) is a fast acting, self-administered calcium channel blocker in development for the termination of AV-nodal-dependent supraventricular tachycardia (SVT). Prior randomized, placebo-controlled and open-label studies have demonstrated favorable safety and efficacy of etripamil in converting paroxysmal supraventricular tachycardia (PSVT) to sinus rhythm (SR) self-administered without direct medical supervision. Research Question/Hypothesis: To assess patterns and annualized PSVT episode frequency among patients opting to self-administer acute treatment with etripamil. Methods: NODE-303 was an event-driven, multi-center, open-label Phase 3 study, conducted in North and South America to evaluate the safety and efficacy of etripamil in patients with documented PSVT over multiple episodes. Test dosing was not performed prior to at-home use. Enrolled patients, upon perceiving symptoms of PSVT: applied an ambulatory ECG monitor, performed a previously trained vagal maneuver and, if symptoms persisted, self-administered etripamil NS 70 mg. During the study, the protocol was amended to allow a repeat dose (70 mg) if symptoms persisted 10 min after the first dose. Each patient could self-treat up to 4 episodes. Results: Of 1,116 enrolled patients, 503 (45.1%) treated ≥1 perceived PSVT episode (safety population). Etripamil achieved conversion to SR in 60% of patients by 30 minutes and 70% by 60 minutes. A total of 220, 118, 62, and 103 patients completed the study with 1, 2, 3, and 4 etripamil-treated perceived episodes of PSVT, respectively, with an average time on study of 440 days. Among these patients, the average number of annualized etripamil-treated PSVT episodes was 3.2 (standard deviation 3.8). Annualized use: etripamil was self-administered for 0-2 PSVT episodes per year, 2-6 episodes, 6-12 episodes, and >12 episodes, in 54%, 32%, 10%, and 4% of patients, respectively (Figure). Conclusions: This analysis aimed to assess the annualized use of etripamil NS in a real-world setting, by analyzing how often patients would self-administer the drug for PSVT episodes. Of patients that self-administered etripamil (n=503), the majority treated >1 episode and the annualized frequency of episodes treated with etripamil was 3.2 episodes/yr.
Quality of life measures with etripamil self-administration for acute episodes of paroxysmal supraventricular tachycardia in a medically unsupervised setting: patient-reported outcomes from NODE-303
Camm, A. John, Coutu, Benoit , Parody, Maria Lenor, Singh, Narendra Kumar , Stambler, Bruce S. , Tahirkheli, Naeem Khan, Agudelo-Uribe, Juan F., Szakács, Comdr.JenöE., Shardonofsky, Silvia, Bharucha, David B. , Ip, James E. , Noseworthy, Peter A. , Rafii, F, Sears, Samuel F.

European Heart Journal | October 28, 2024 | Volume: 45 | Issue: Supplement_1 | Pages: No page available

10.1093/eurheartj/ehae666.631 Get It

Abstract Background Etripamil nasal spray (NS) is a fast-acting, self-administered calcium-channel blocker in development for the conversion of AV-nodal dependent paroxysmal supraventricular tachycardia (PSVT) in a medically unsupervised setting. Prior studies show favorable safety and efficacy in converting single episodes of PSVT to sinus rhythm (SR). Purpose In NODE-303, patient-reported outcome (PRO) instruments assessed quality of life (QoL) over multiple etripamil-treated episodes of PSVT. Methods NODE-303 was an event-driven, multi-center, open-label Phase 3 study in North and South American patients with documented PSVT that evaluated the safety and efficacy of etripamil in PSVT termination, over multiple episodes and without the need for prior test dosing. Enrolled patients who perceived PSVT symptoms applied an ambulatory ECG cardiac monitoring system (CMS), performed a pre-trained vagal maneuver and, if symptoms persisted, self-administered etripamil NS 70 mg. A study amendment allowed a repeat dose (etripamil NS, 70 mg) if symptoms persisted 10 min after the first dose. Each patient could self-treat up to 4 episodes. Safety was assessed through adverse events, clinical data, and ECG CMS recordings. The Treatment Satisfaction Questionnaire for Medication (TSQM; validated for acute episodic assessments) and other PROs were administered, and healthcare utilization data were acquired. Patients completed PROs at baseline (BL), monthly, and per PSVT episode, which collected information on symptoms, episode characteristics, rescue medications, and emergency room visits. Additional PROs were the Brief Illness Perception Questionnaire (BIPQ), Cardiac Anxiety Questionnaire (CAQ), and 36-Item Short Form Health Survey (SF-36). Results There were higher proportions of patients reporting mild, minimal or no disease severity, every 6 months, than at BL; extremely severe, severe, and moderate disease severity was reported by smaller proportions of patients than at BL, though incomplete surveys at later visits may limit this analysis. Anxiety and stress about future PSVT episodes were consistently reduced from BL. Measures of treatment satisfaction, effectiveness, and convenience were consistent across multiple episodes, and were at levels considered favorable for the TSQM instrument (Table 1). Rates of emergency-room visits and hospital admissions across multiple, treated PSVT episodes were similar to those observed in trials assessing single episodes (Table 2). The BIPQ, CAQ or SF-36 had no notable changes from BL. Conclusions Etripamil self-administration was associated with patient-reported improvements in degree of disease severity, decreased anxiety and stress over future PSVT episodes, and levels of treatment satisfaction, effectiveness, and convenience considered favorable for respective PRO instrument. Using a symptom-prompted, self-administered treatment for PSVT could potentially improve QoL measures and reduce healthcare resource utilization.
The Alzheimer's Disease Neuroimaging Initiative Clinical Core
Aisen, Paul , Raman, Rema , Petersen, Ronald C., Initiative, for the Alzheimer's Disease Neuroimaging, Donohue, Michael , Rafii, Michael S. , Petersen, Ronald C. , Initiative, for the Alzheimer's Disease Neuroimaging

Alzheimer's & Dementia | August 13, 2024 | Volume: 20 | Issue: 10 | Pages: 7361-7368

10.1002/alz.14167 | PMID 39136045 Get It

Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) Clinical Core is responsible for coordination of all clinical activities at the ADNI sites, including project management, regulatory oversight, and site management and monitoring, as well as the collection of all clinical data and management of all study data. The Clinical Core is also charged with determining the clinical classifications and criteria for enrollment in evolving AD trials and enabling the ongoing characterization of the cross‐sectional features and longitudinal trajectories of the ADNI cohorts with application of these findings to optimal clinical trial designs. More than 2400 individuals have been enrolled in the cohorts since the inception of ADNI, facilitating refinement of our understanding of the AD trajectory and allowing academic and industry investigators to model therapeutic trials across the disease spectrum from the presymptomatic stage through dementia. Highlights Since 2004, the Alzheimer's Disease Neuroimaging Initiative (ADNI) Clinical Core has overseen the enrollment of > 2400 participants with mild cognitive impairment, mild Alzheimer's disease (AD) dementia, and normal cognition. The longitudinal dataset has elucidated the full cognitive and clinical trajectory of AD from its presymptomatic stage through the onset of dementia. The ADNI data have supported the design of most major trials in the field.
Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup
Jack, Clifford R. , Andrews, J. Scott , Beach, Thomas G. , Buracchio, Teresa , Dunn, Billy , Graf, Ana, Ho, Carole , Jagust, William J. , Okonkwo, Ozioma C. , Siemers, Eric , Snyder, Heather M. , Carrillo, Marı́a C., Carrillo, María C. , Jack, Clifford R , Hansson, Oskar , McDade, Eric , Molinuevo, José Luís , Pani, Luca , Rafii, Michael S. , Scheltens, Philip , Sperling, Reisa Anne , Teunissen, Charlotte E.

Alzheimer's & Dementia | June 27, 2024 | Volume: 20 | Issue: 8 | Pages: 5143-5169

10.1002/alz.13859 | PMID 38934362 Get It

Abstract The National Institute on Aging and the Alzheimer's Association convened three separate work groups in 2011 and single work groups in 2012 and 2018 to create recommendations for the diagnosis and characterization of Alzheimer's disease (AD). The present document updates the 2018 research framework in response to several recent developments. Defining diseases biologically, rather than based on syndromic presentation, has long been standard in many areas of medicine (e.g., oncology), and is becoming a unifying concept common to all neurodegenerative diseases, not just AD. The present document is consistent with this principle. Our intent is to present objective criteria for diagnosis and staging AD, incorporating recent advances in biomarkers, to serve as a bridge between research and clinical care. These criteria are not intended to provide step‐by‐step clinical practice guidelines for clinical workflow or specific treatment protocols, but rather serve as general principles to inform diagnosis and staging of AD that reflect current science. Highlights We define Alzheimer's disease (AD) to be a biological process that begins with the appearance of AD neuropathologic change (ADNPC) while people are asymptomatic. Progression of the neuropathologic burden leads to the later appearance and progression of clinical symptoms. Early‐changing Core 1 biomarkers (amyloid positron emission tomography [PET], approved cerebrospinal fluid biomarkers, and accurate plasma biomarkers [especially phosphorylated tau 217]) map onto either the amyloid beta or AD tauopathy pathway; however, these reflect the presence of ADNPC more generally (i.e., both neuritic plaques and tangles). An abnormal Core 1 biomarker result is sufficient to establish a diagnosis of AD and to inform clinical decision making throughout the disease continuum. Later‐changing Core 2 biomarkers (biofluid and tau PET) can provide prognostic information, and when abnormal, will increase confidence that AD is contributing to symptoms. An integrated biological and clinical staging scheme is described that accommodates the fact that common copathologies, cognitive reserve, and resistance may modify relationships between clinical and biological AD stages.
Changes in cortical thickness along the Alzheimer disease continuum in people with Down syndrome
Kennedy, James Tyler, Dincer, Aylin , Thippabhotla, Sharmila, Roman, June, Boerwinkle, Anna H. , Chen, Charles D., Price, Julie C. , Sathishkumar, Mithra , McMillan, Liv , Laymon, Charles M. , Krinsky‐McHale, Sharon J. , Lai, Florence , Rosas, H. Diana , Lott, Ira T. , Silverman, Wayne , Chhatwal, Jasmeer P. , Chui, Helena C., Farlow, Martin R. , Graff‐Radford, Neill R. , Mori, Hiroshi , Perrin, Richard J. , Salloway, Stephen , Xiong, Chengjie , Mapstone, Mark , Christian, Bradley T. , Network, Dominantly Inherited Alzheimer, Wisch, Julie K. , Gordon, Brian A. , Flores, Shaney , Benzinger, Tammie L.S. , Klunk, William E. , Rafii, Michael S. , O’Bryant, Sid E. , Yassa, Michael A. , Brickman, Adam M. , Lao, Patrick , Hartley, Sigan L. , Zaman, Shahid H. , Lee, Joseph H. , Allegri, Ricardo , Berman, Sarah , Chui, Helena C. , Cruchaga, Carlos , Goate, Alison , Day, Gregory S. , Jucker, Mathias , Lee, Jae‐Hong , Xiong, Chengjie , Martins, Ralph N. , Sánchez‐Valle, Raquel , Karch, Celeste M. , Hassenstab, Jason , McDade, Eric , Bateman, Randall J. , Handen, Benjamin L. , Head, Elizabeth , Ances, Beau M. , Schofield, Peter R.

Alzheimer's & Dementia | December 25, 2023 | Volume: 19 | Issue: S17 | Pages: No page available

10.1002/alz.079932 Get It

AbstractBackgroundTriplication of the APP allele in Down syndrome (DS) leads to excess amyloid production and Alzheimer’s disease (AD) related cognitive decline. Key biomarkers (amyloid, tau, neurodegeneration) can identify pathological processes that occur before clinical symptoms and more precisely stage adults with DS along the AD continuum. Previous research has used changes in cortical thickness (CT) as an indicator of neurodegeneration in autosomal‐dominant AD1, but not DS‐related AD. It is unclear when and where cortical thinning occurs along the AD continuum in DS and if these differences are associated with increasing AD pathology.MethodCross‐sectional analysis compared DS participants from the Alzheimer Biomarkers Consortium‐Down Syndrome (106 amyloid‐/cognitively unimpaired, nonclinical, 20% reserved for receiver‐operating characteristic, ROC, analyses; 45 amyloid+/cognitively unimpaired, preclinical; 27 amyloid+/cognitively impaired, clinical) who had amyloid positron emission tomography and magnetic resonance imaging (MRI). Amyloid positivity was defined using standardized uptake value ratio (partial volume corrected) cortical mean values (1.42/1.19 for PIB/AV452) and impairment was based on consensus diagnosis. CT differences between nonclinical and clinical groups were calculated in FreeSurfer v5.3 for multiple thresholds (p<.05/.01/.005/.001/.0005/.0001) using a cluster‐wise false discovery rate of .001, corrected across hemispheres, after controlling for age and sex. CT values were extracted for each threshold and used in ROC analyses (nonclinical reserved participants compared against preclinical and preclinical compared against clinical) to identify key cortical regions that best discriminated amyloid positivity and between unimpaired and impaired.ResultSignificant decreases in parietal and inferior temporal CT were observed between nonclinical and clinical (Figures 1 and 2). ROC analyses identified regions in the left (threshold .05) and right (threshold .005) hemispheres that best differentiated nonclinical from preclinical. Observed area under the curves (AUCs) of .772 and .830 exceeded those previously reported for autosomal‐dominant AD (.547/.540)1. Analyses differentiating preclinical from clinical observed AUCs of .786 for left (threshold .0005) and .770 for right (threshold .0005) hemispheres.ConclusionCT differences primarily within posterior cortical regions differentiated adults with DS by amyloid status and cognitive impairment. CT differences were more diffuse for amyloid positivity but more focal for impairment.1. Dincer (2020). NeuroImage: Clinical, 28, 102491.2. Su (2019). Alzheimer’s Dement, 11, 180‐190.
Cross‐sectional comparison of the role of tau burden among Down Syndrome Alzheimer disease and autosomal‐dominant Alzheimer disease
Boerwinkle, Anna H. , Henson, Rachel L. , Thippabhotla, Sharmila, Kennedy, James Tyler, Butt, Omar H. , Chen, Charles D., Christian, Bradley T. , Mapstone, Mark , Tudorascu, Dana , Cohen, Annie , Fagan, Anne M. , Price, Julie C. , Schupf, Nicole , Laymon, Charles M. , Krinsky‐McHale, Sharon J. , Lai, Florence , Rosas, H. Diana , Lott, Ira T. , Silverman, Wayne , Chhatwal, Jasmeer P. , Chui, Helena C., Farlow, Martin R. , Graff‐Radford, Neill R. , Mori, Hiroshi , Perrin, Richard J. , Salloway, Stephen , Xiong, Chengjie , Wisch, Julie K. , Gordon, Brian A. , Flores, Shaney , McKay, Nicole S. , Handen, Benjamin L. , Head, Elizabeth , Zammit, Matthew D. , Johnson, Sterling C. , Klunk, William E. , Rafii, Michael S. , O’Bryant, Sid E. , Yassa, Michael A. , Keator, David B. , Hartley, Sigan L. , Zaman, Shahid H. , Lao, Patrick , Brickman, Adam M. , Lee, Joseph H. , Allegri, Ricardo , Berman, Sarah , Chui, Helena C. , Cruchaga, Carlos , Fox, Nick C. , Goate, Alison , Day, Gregory S. , Jucker, Mathias , Lee, Jae‐Hong , Xiong, Chengjie , Martins, Ralph N. , Sánchez‐Valle, Raquel , Schofield, Peter William , Xiong, Chengjie , Schindler, Suzanne E. , Morris, John C. , Karch, Celeste M. , Hassenstab, Jason , Benzinger, Tammie L.S. , McDade, Eric , Bateman, Randall J. , Ances, Beau M.

Alzheimer's & Dementia | December 25, 2023 | Volume: 19 | Issue: S14 | Pages: No page available

10.1002/alz.079102 Get It

AbstractBackgroundAdults with Down Syndrome (DS) develop Alzheimer disease (AD)‐like pathology and dementia as they age. This is attributed to triplication of the amyloid precursor protein gene. Recent work demonstrated that amyloid is elevated in DS and accumulates in a similar topography to autosomal dominant AD (ADAD). Tau accumulation is the second hallmark of AD and may be measured using tau positron emission tomography (PET) imaging. The pattern of tau accumulation remains unknown in DS.MethodIn a cross‐sectional analysis we evaluated amyloid and tau positron emission tomography (PET) in 124 participants with DS (109 cognitively stable, 8 symptomatic, 7 no consensus), 29 ADAD mutation carriers (26 asymptomatic, 3 symptomatic), and 201 cognitively normal non‐mutation carriers (CN). Regional cortical standard uptake value ratios (SUVR) for tau imaging were obtained and compared by cognitive status. Similarly, regional cortical amyloid SUVR were obtained and converted to centiloids. We then compared the magnitude of tau burden as well as spatial spread of tau across groups relative to amyloid burden.ResultCompared to CN, tau PET binding was elevated in participants with (µDS = 2.12 ± 0.22 SUVR, µADAD = 2.52 ± 0.37 SUVR) and without (µDS = 1.24 ± 0.15 SUVR, µADAD = 1.16 ± 0.19 SUVR) cognitive changes. For both groups, tau increased with increasing amyloid (centiloids). In some regions, DS had greater tau burden for a given amyloid level (centiloids) (Figure 1). There was increased spatial distribution of tau throughout the brain for participants with DS compared to CN. In contrast, tau burden was more focal in participants with ADAD with tau primarily elevated in posterior regions (Figure 2).ConclusionWhile tau burden was higher with symptomatic disease for both groups, significant differences existed in the overall amount and spatial spread. Tau spread was greatest in participants with DS and more diffuse compared to ADAD. These results indicate a substantial tau burden is present in DS, and suggest not only anti‐amyloid but also tau‐reducing agents should be considered for treating cognitive decline in adults with DS.
Etiology of White Matter Hyperintensities in Autosomal Dominant and Sporadic Alzheimer Disease
Shirzadi, Zahra , Schultz, Stephanie A. , Yau, Wai‐Ying Wendy , Fitzpatrick, Colleen , Levin, Raina, Kantarci, Kejal , Preboske, Gregory M., Jack, Clifford R. , Farlow, Martin R. , Hassenstab, Jason , Morris, John C. , Xiong, Chengjie , Levey, Allan I. , Gordon, Brian A. , Salloway, Stephen , Perrin, Richard J. , Xiong, Chengjie , Fox, Nick C. , Goate, Alison , Day, Gregory S. , Chui, Helena C., Berman, Sarah , Mori, Hiroshi , Ruthirakuhan, Myuri , Wu, Che‐Yuan , Sohrabi, Hamid R. , Martins, Ralph N. , Johnson, Keith A. , Greenberg, Steven M. , Chhatwal, Jasmeer P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Weiner, Michael W. , Aisen, Paul, Petersen, Ronald , Jack, Clifford R., Jagust, William J. , Trojanowki, John Q., Morris, John C., Shaw, Leslie M. , Khachaturian, Zaven S., Carrillo, Maria, Potter, William Z., Bernard, Marie , Jackson, Jonathan , Masliah, Eliezer , Masterman, Donna, Okonkwo, Ozioma C. , Ryan, Laurie, Silverberg, Nina, Fleisher, Adam , Sacrey, Diana Truran, Fockler, Juliet , Conti, Cat, Jin, Chengshi , Nosheny, Rachel L. , Ashford, Miriam T. , Flenniken, Derek , Kormos, Adrienne, Montine, Tom, Raman, Rema , Jiménez, Gustavo , Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah , Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth , Sloan, Brittany, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Gunter, Jeff, Jahanshad, Neda , DeCarli, Charles, Knaack, Alexander , Chen, Stephanie Rossi, Choe, Mark, Crawford, Karen , Reiman, Eric M. , Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Franklin, Erin , Bernhardt, Haley, Taylor‐Reinwald, Lisa, Korecka, Magdalena , Figurski, Michael, Neu, Scott, Apostolova, Liana G. , Foroud, Tatiana M., Faber, Kelley, Wilmes, Kristi, Thal, Leon J., Lind, Betty, Crissey, Rachel, Carter, Raina, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Becerra, Mauricio, Teodoro, Liberty, Dagerman, Karen, Spann, Bryan M., Brewer, James B., Vanderswag, Helen, Ziolkowski, Jaimie, Heidebrink, Judith L. , Zbizek-Nulph, Lisa, Mason, Sara S., Albers, Colleen S., Johnson, Kris , Villaneuva-Meyer, Javier, Pavlik, Valory , Pacini, Nathaniel, Lamb, Ashley, Kass, Joseph S. , Doody, Rachelle S., Shibley, Victoria, Chowdhury, Munir , Rountree, Susan, Dang, Mimi, Mintz, Akiva , Winkfield, David, Carroll, Maria , Stobbs-Cucchi, Georgia , Oliver, Angela , Creech, Mary L., Mintun, Mark A., Schneider, Stacy, Geldmacher, David , Love, Marissa Natelson , Griffith, Randall, Clark, David, Brockington, John, Marson, Daniel , Grossman, Hillel, Goldstein, Martin , Mitsis, Effie, Samuels, Patricia, Duara, Ranjan , Greig‐Custo, Maria T., Rodriguez, Rosemarie, Albert, Marilyn, Onyike, Chiadi, Farrington, Leonie, Rudow, Scott, Brichko, Rottislav, Kielb, Stephanie , Smith, Amanda , Raj, Balebail Ashok, Fargher, Kristin, Shulman, Melanie , Faustin, Arline , Rao, Julia, Castro, Karen M. , Ulysse, Anaztasia, Chen, Shannon, Sheikh, Mohammed O., Singleton-Garvin, Jamika, Doraiswamy, P. Murali , Petrella, Jeffrey R. , James, Olga, Borges‐Neto, Salvador , Karlawish, Jason , Vaishnavi, Sanjeev , Clark, Christopher M. , Arnold, Steven E. , Smith, Charles D. , Khouli, Riham El , Raslau, Flavius D., Oakley, MaryAnn, Simpson, Donna M., Martin, Kim, Kowalski, Nancy, Keltz, Melanie, Goldstein, Bonnie S., Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Thai, Gaby , Pierce, Aimee, Witbracht, Megan , Mathews, Dana, Quiceno, Mary , Hajjar, Ihab , Cellar, Janet S., Swerdlow, Russell H. , Kremen, Sarah , Tingus, Kathleen, Lu, Po H. , Bartzokis, George, Woo, Ellen, Graff‐Radford, Neill R. , Parfitt, Francine, Poki-Walker, Kim, Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Mecca, Adam P. , Good, Susan P., MacAvoy, Martha G., Carson, Richard E. , Varma, Pradeep, Chertkow, Howard , Vaitekunis, Susan, Hosein, Chris, Mudge, Benita, Assaly, Michele, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Rogers, John, Grant, Ian , Muse, Brittanie, Rogalskı, Emily , Robson, Jordan, Mesulam, M.‐Marsel, Kerwin, Diana , Wu, Chuang‐Kuo, Johnson, Nancy E., Lipowski, Kristine, Weıntraub, Sandra , Bonakdarpour, Borna , Hernando, Raymundo, Sarrael, Antero, Rosen, Howard J., Johnson, Kathleen, Reynolds, Brigid, Poe, Jessica, Sperling, Reisa A., Marshall, Gad A. , Yesavage, Jerome A. , Taylor, Joy L. , Chao, Steven, Coleman, Jaila, White, Jessica D. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Belden, Christine M. , Clark, Kelly, Zamrini, Edward , Sabbagh, Marwan, Kowall, Neil W. , Budson, Andrew E. , Ntekim, Oyonumo, Wolday, Saba, Khan, Javed , Nwulia, Evaristus , Nadarajah, Sheeba , Lerner, Alan J. , Ogrocki, Paula, Tatsuoka, Curtis , Fatica, Parianne, Olichney, John , Bates, Vernice, Capote, Horacio, Rainka, Michelle, Borrie, Michael, Lee, T‐Y, Asthana, Sanjay , Carlsson, Cynthia M., Perrin, Allison, Burke, Anna , Kataki, Maria , Hart, David , Zimmerman, Earl A. , Celmins, Dzintra, Smith, Karen Ekstam, Shim, Hyungsub , Nam, Ki Won , Schtulz, Susan K., Williamson, Jeff D. , Craft, Suzanne , Cleveland, Jo, Ott, Brian R. , Drake, Jonathan, Tremont, Geoffrey , Daiello, Lori A. , Ritter, Aaron, Bernick, Charles , Munic, Donna, O’Connell, Abigail, Mintzer, Jacobo , Wiliams, Arthur, Masdeu, Joseph C. , Shi, Jiong , Garcia, Angelica, Newhouse, Paul , Salloway, Steven, Malloy, Paul, Correia, Stephen , Kittur, Smita, Blank, Karen, Anderson, Karen, Flashman, Laura A. , Seltzer, Marc, Hynes, Mary L. , Santulli, Robert B. , Relkin, Norman , Chiang, Gloria, Lee, Athena, Lin, Michael, Ravdin, Lisa , Sood, Ajay, Blanchard, Kimberly S., Fleischman, Debra , Varon, Daniel, Greig, Maria T., Martin, Kimberly S., Reist, Christopher , Sadowsky, Carl, Villena, Teresa, Rosen, Howard, Peskind, Elaine R. , Li, Gail, Vöglein, Jonathan , Méndez, Patricio Chrem, Ikonomović, Snežana, Nadkarni, Neelesh K. , Ramírez, Laura, Leon, Yudy Milena, Ramos, Cláudia , Alzate, Diana, Baena, Ana , Londono, Natalia, Laske, Christoph , Kuder-Buletta, Elke, Gräber‐Sultan, Susanne, Preische, Oliver, Hofmann, Anna, Ishii, Kenji , Senda, Michio , Riddle, Meghan C., Menard, William, Bodge, Courtney, Surti, Mustafa, Sanchez-Gonzalez, VJ, Orozco-Barajas, Maribel, Esposito, Bianca, Fernanadez, Victoria, Jerome, Gina, Herries, Elizabeth, Seyfried, Nicholas T. , Bechara, Jacob , Chen, Allison , Hantler, Nancy, Hornbeck, Russ C. , Jarman, Steve, Keefe, Sarah , Koudelis, Deborah, Massoumzadeh, Parinaz , Nicklaus, Joyce , Pulizos, Christine, Mishall, Sheetal, Sabaredzovic, Edita, Deng, Emily , Candela, Madison, Smith, Hunter , Scott, Jalen , Gremminger, Emily, Ma, Yinjiao , Bui, Ryan , Lu, Ruijin , Daniels, Alisha , Courtney, Laura, Supnet, Charlene , Xu, Jinbin , Ringman, John M. , Barthélemy, Nicolas R. , Jack, Clifford R , Gordon, Brian A , Kantarci, Kejal , Day, Gregory S , Vöglein, Jonathan , Xiong, Chengjie , Fox, Nick C , Hassenstab, Jason , Morris, John C , Goate, Alison M , Supnet-Bell, Charlene , Berman, Sarah , Levey, Allan I , Kremen, Sarah , Joseph‐Mathurin, Nelly , Jucker, Mathias , Xiong, Chengjie , Karch, Celeste M. , Schofield, Peter R. , McDade, Eric , Cruchaga, Carlos , Allegri, Ricardo , Koeppe, Robert A. , Chui, Helena C. , Sánchez‐Valle, Raquel , Lee, Jae‐Hong , Rosa-Neto, Pedro , Swardfager, Walter , Benzinger, Tammie L.S. , Bateman, Randall J. , Sperling, Reisa Anne , Schultz, Aaron P. , Initiative, Dominantly Inherited Alzheimer Network and the Alzheimer’s Disease Neuroimaging, Jack, Clifford R., Toga, Arthur W. , Beckett, Laurel , Green, Robert C. , Saykin, Andrew J. , Morris, John C., Barnes, Lisa L. , González, Hector, Ho, Carole , Hsiao, John , Veitch, Dallas P. , Neuhaus, John M , Rafii, Michael S. , Donohue, Michael , Smith, Stephanie R. , Harvey, Danielle , Arani, Arvin , Schwarz, Christopher G. , Jones, David T. , Senjem, Matthew L. , Vemuri, Prashanthi , Reid, Robert I. , Malone, Ian B. , Thompson, Paul M. , Thomopoulos, Sophia I. , Nir, Talia M. , Fletcher, Evan M. , Tosun, Duygu , Yushkevich, Paul A. , Das, Sandhitsu R. , Chen, Kewei , Mathis, Chet, Nho, Kwangsik T. , Risacher, Shannon L. , Shen, Li , Nudelman, Kelly , Silbert, Lisa C. , Kaye, Jeffrey , Carter, Raina, Quinn, Joseph F. , Lord, Joanne L. , Knopman, David S. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Goldstein, Martin A., Greenberg, Jonathan, Shah, Raj C. , Lamar, Melissa , Duara, Ranjan , Sadowski, Martin , Wısnıewskı, Thomas , Wong, Terence Z. , Wolk, David A. , Jicha, Gregory A. , López, Oscar L. , Porsteinsson, Anton P. , Yanez, Beatriz, Sosa, Elizabeth M. , Kelley, Brendan , Nguyen, Trung Dung , Womack, Kyle , Lah, James J. , Burns, Jeffrey M. , Brooks, William Miles , Silverman, Daniel H.S. , Teng, Edmond , Brosch, Jared R. , Black, Sandra E. , Stefanovic, Bojana , Heyn, Chris , Hsiung, Ging‐Yuek Robin , Kim, Ellen , Sossi, Vesna , Feldman, Howard , Finger, Elizabeth C. , Pasternak, Stephen , Miller, Bruce L. , Perry, David C. , Turner, Raymond Scott , MCCann, Kelly, Sperling, Reisa A., Atri, Alireza , Killiany, Ronald , Stern, Robert A. , Mez, Jesse , Obisesan, Thomas O. , Maillard, Pauline , Carmichael, Owen , Bartha, Robert , Johnson, Sterling C. , Carlsson, Cynthia M. , Scharre, Douglas W. , Tarawneh, Rawan M. , Miller, Del D. , Ponto, Laura L. 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JAMA Neurology | October 16, 2023 | Volume: 80 | Issue: 12 | Pages: 1353

10.1001/jamaneurol.2023.3618 | PMID 37843849 Get It

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P &amp;lt; .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P &amp;lt; .001]; ADNI: t = 9.1 [P &amp;lt; .001]; HABS: t = 5.4 [P &amp;lt; .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P &amp;lt; .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.
Safety and tolerability of lumbar puncture for the evaluation of Alzheimer's disease
Baldaranov, Dobri , García, Victoria , Miller, Garrett, Donohue, Michael , Shaw, Leslie M. , Weiner, Mike, Petersen, Ronald C. , Aisen, Paul , Raman, Rema , Donohue, Michael C , Garcia, Victoria, Rafii, Michael S.

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | April 19, 2023 | Volume: 15 | Issue: 2 | Pages: No page available

10.1002/dad2.12431 | PMID 37091309 Get It

AbstractIntroductionLumbar puncture (LP) to collect and examine cerebrospinal fluid (CSF) is an important option for the evaluation of Alzheimer's disease (AD) biomarkers but it is not routinely performed due to its invasiveness and link to adverse effects (AE).MethodsWe include all participants who received at least one LP in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Study. For comparison between groups, two‐sample t‐tests for continuous, and Pearson's chi‐square test for categorical variables were performed.ResultsTwo hundred twenty‐seven LP‐related AEs were reported by 172 participants after 1702 LPs (13.3%). The mean age of participants who reported at least one AE was 69.79 (standard deviation (SD) 6.3) versus none 72.44 (7.17) years (p < 0.001) with female predominance (115/172 = 67.4% vs 435/913 = 48%), and had greater entorhinal cortical thickness and hippocampal volume (3.903 (0.782) vs 3.684 (0.775) mm, p = 0.002; 7.38 (1.06) vs 7.05 (1.15) mm3, p < 0.001), respectively.DiscussionWe found that younger age, female sex, and greater thickness of the entorhinal cortex were associated with a higher rate of LP‐related AE reports.