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632 citation(s) found for "Green, B".

BrAIST-Calc: Prediction of Individualized Benefit From Bracing for Adolescent Idiopathic Scoliosis
Dolan, Lori A. , Weinstein, Stuart L. , Dobbs, Matthew B. , Flynn, John M. , Halsey, Matthew F. , Hresko, M. Timothy , Krengel, Walter F. , Mehlman, Charles T. , Milbrandt, Todd A. , Price, Nigel, Schmitz, Michael L. , Song, Kit M., Talwalkar, Vishwas, Weinstein, Stuart L , Green, Daniel W , Newton, Peter O. , Sanders, James O , Schwend, Richard M. , Shah, Suken A.

Mayo Clinic

Spine | November 23, 2023 | Volume: 49 | Issue: 3 | Pages: 147-156

10.1097/brs.0000000000004879 | PMID 37994691 Get It

Study Design. Prospective multicenter study data were used for model derivation and externally validated using retrospective cohort data. Objective. Derive and validate a prognostic model of benefit from bracing for adolescent idiopathic scoliosis (AIS). Summary of Background Data. The Bracing in Adolescent Idiopathic Scoliosis Trial (BrAIST) demonstrated the superiority of bracing over observation to prevent curve progression to the surgical threshold; 42% of untreated subjects had a good outcome, and 28% progressed to the surgical threshold despite bracing, likely due to poor adherence. To avoid over-treatment and to promote patient goal setting and adherence, bracing decisions (who and how much) should be based on physician and patient discussions informed by individual-level data from high-quality predictive models. Materials and Methods. Logistic regression was used to predict curve progression to <45° at skeletal maturity (good prognosis) in 269 BrAIST subjects who were observed or braced. Predictors included age, sex, body mass index, Risser stage, Cobb angle, curve pattern, and treatment characteristics (hours of brace wear and in-brace correction). Internal and external validity were evaluated using jackknifed samples of the BrAIST data set and an independent cohort (n=299) through estimates of discrimination and calibration. Results. The final model included age, sex, body mass index, Risser stage, Cobb angle, and hours of brace wear per day. The model demonstrated strong discrimination ( c -statistics 0.83–0.87) and calibration in all data sets. Classifying patients as low risk (high probability of a good prognosis) at the probability cut point of 70% resulted in a specificity of 92% and a positive predictive value of 89%. Conclusion. This externally validated model can be used by clinicians and families to make informed, individualized decisions about when and how much to brace to avoid progression to surgery. If widely adopted, this model could decrease overbracing of AIS, improve adherence, and, most importantly, decrease the likelihood of spinal fusion in this population.
Flares of autoimmune rheumatic disease following COVID ‐19 infection: Observations from the COVAD study
Sandhu, Nimrat K. , Ravichandran, Naveen , Nune, Arvind , Day, Jessica , Sen, Parikshit , Nikiphorou, Elena , Tan, Ai Lyn , Joshi, Mrudula , Saha, Sreoshy , Shinjo, Samuel Katsuyuki , Velikova, Tsvetelina , Milchert, Marcin , Parodis, Ioannis , Kuwana, Masataka , Patel, Aarat , Pauling, John D , Wincup, Chris , Tehozol, Erick Adrian Zamora , Chibuzo, Okwara Celestine , Katchamart, Wanruchada , Goo, Phonpen Akawatcharangura , Shumnalieva, Russka , Kibbi, Lina El , Halabi, Hussein , Vaidya, Binit , Shaharir, Syahrul Sazliyana , Hasan, A T M Tanveer , Dey, Dzifa , Gutiérrez, Carlos Enrique Toro , Caballero‐Uribe, Carlo V. , Salim, Babur , Group, COVAD Study, Chinoy, Hector , Agarwal, Vikas , Gupta, Latika, Singh, Yogesh Preet , Gupta, Latika , Naveen, R , Jagtap, Kshitij , Agarwal, Vishwesh , Ziade, Nelly , Velikova, Tsvetelina , Milchert, Marcin , Parodis, Ioannis , Gracia-Ramos, Abraham Edgar , Cavagna, Lorenzo , Kuwana, Masataka , Knitza, Johannes , Makol, Ashima , Pauling, John D , Wincup, Chris , Zamora Tehozol, Erick Adrian , Rojas Serrano, Jorge , García-De La Torre, Ignacio , Colunga-Pedraza, Iris J , Merayo-Chalico, Javier , Chibuzo, Okwara Celestine , Katchamart, Wanruchada , Shumnalieva, Russka , Chen, Yi-Ming , Hoff, Leonardo Santos , El Kibbi, Lina , Halabi, Hussein , Vaidya, Binit , Sazliyana Shaharir, Syahrul , Hasan, A T M Tanveer , Gutiérrez, Carlos Enrique Toro , Lilleker, James B , Salim, Babur , Gheita, Tamer , Saavedra, Miguel A , Chatterjee, Tulika , Distler, Oliver , Chinoy, Hector , Agarwal, Vikas , Aggarwal, Rohit , Gupta, Latika , Joshi, Mrudula , Day, Jessica , Tan, Ai Lyn , Shinjo, Samuel Katsuyuki , Nune, Arvind , Dey, Dzifa , Caballero-Uribe, Carlo Vinicio , Sen, Parikshit , Saha, Sreoshy , Singh, Yogesh Preet , Jagtap, Kshitij , Agarwal, Vishwesh , Ziadé, Nelly , Gracia‐Ramos, Abraham Edgar , Makol, Ashima , Barman, Bhupen , Torre, Ignacio García‐De La , Colunga-Pedraza, I. J. , Chen, Yi‐Ming , Gheita, Tamer A. , Chatterjee, Tulika , Distler, Oliver , Group, COVAD Study, Aggarwal, Rohit

Mayo Clinic

International Journal of Rheumatic Diseases | November 16, 2023 | Volume: 27 | Issue: 1 | Pages: No page available

10.1111/1756-185x.14961 | PMID 37969016 Get It

Violence Against Healthcare Workers: ViSHWaS a Cross-Sectional Sub-analysis across the Kenya Region
Qasba, Rakhtan K. , Qasba, Ruman K. , Mbithi, Annastacia , Njenga, Erick, Qasba, Rakhtan K , Shah, Reena , Shah, Jasmit , Banga, Akshat , Kashyap, Rahul , Surani, Salim

Mayo Clinic

No container title available | November 14, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-3484636/v1 Get It

Abstract Objective: Global concern exists for workplace violence against healthcare workers (HCWs), especially in low and middle-income nations. This violence includes physical, verbal, or sexual abuse and has a significant impact despite initiatives like Occupational Safety and Health Administration (OSHA) guidelines. We conducted a study in Kenya to address this issue. Methods: We did a cross-sectional survey that collected responses during June 6th to August 9th, 2022, focused on healthcare professionals in Kenya within the global ViSHWaS study. Violence against healthcare professionals in multiple Kenyan counties was analysed, The study reached participants through social media, emails, and other channels using a snowball sampling technique. Results: The survey included 1,458 HCWs, primarily females (66.5%), aged 36-45 (42.4%), and of African race, representing 40 counties, with the majority from Nairobi (28.9%) and working in government academic (35.5%) and private academic institutions (20.6%). Most had over 11 years of healthcare experience (64.4%), and registered nurses were the most common cadre (27.8%). Approximately half (49.9%) reported experiencing violence, with verbal violence (80.6%) and emotional abuse (78.6%) being common. Online harassment was reported by only 3.5%, mainly on Facebook (63.2%), involving hate speech (92.1%). Patients or their relatives were the most common aggressors (44.7%), while supervisors accounted for 12.5%. The frequency of violence varied, and 80.2% noted an increase after the COVID-19 pandemic. Only 41.2% of incidents were reported. Most were familiar with safety guidelines (93.6%). Self-violence was associated with familiarity with guidelines, concern about violence, preparedness, and night shifts, while colleague violence was associated with age, gender, race, work experience, training, preparedness, and night shifts. Conclusion: Our Kenya-based cross-sectional sub-analysis highlights that a significant number of HCWs experienced violence, especially during the COVID-19 pandemic, which negatively affected job satisfaction. Although most HCWs were familiar with OSHA guidelines, there were difficulties in their practical implementation.
Real-world performance of a fully automatic antitachycardia pacing algorithm
Jackson, Troy , Taepke, Robert T., Birgersdotter‐Green, Ulrika , M, Y, DeGroot, Paul, Cheng, Alan , Yee, Raymond , Singh, Jagmeet P

Mayo Clinic

European Heart Journal | November 11, 2023 | Volume: 44 | Issue: Supplement_2 | Pages: No page available

10.1093/eurheartj/ehad655.660 Get It

Abstract Background Antitachycardia pacing (ATP) found in most implantable cardioverter defibrillators (ICDs) is an important therapy for painless termination of ventricular tachycardias (VT). In ICDs programmed to guideline-recommended detection and therapy settings typical ATP success rates are 50-70%.[1-3] The first closed-loop, automated ATP (AATP) algorithm, introduced in 2021, applies an S1 train derived from the detected VT, followed by an S2 derived initially from a refractory period estimator and then adjusted using analysis of the post-pacing interval if ATP fails. The termination efficacy of AATP in the real-world population is unknown. Purpose To assess the effectiveness AATP in a large real-world population. Methods A database of de-identified ICD transmissions from subjects in the United States, Australia, Canada, and New Zealand was queried for AATP treated episodes. ICDs were randomly sampled, biased toward ICDs with multiple treated VT episodes. For rhythms classified as monomorphic ventricular tachycardia, each AATP pulse train was reviewed for: rhythm at delivery, effect of ATP, and any non-capturing pulses. Acceleration was defined as a post-ATP decrease in MVT cycle length (VTCL) of at least 10% and at least 30ms. Acceleration to polymorphic VT or ventricular fibrillation (PVT/VF) was assessed. Rates of termination and acceleration were calculated for all MVT and dichotomized using a 320ms VTCL cutoff. The method of generalized estimating equations (GEE) was used to correct event rates for multiple episodes from a single patient. Results There were 2281 episodes of MVT in 340 patients; 63% of patients had 2 or more episodes. There were 724 episodes with initial VTCL &lt;320ms and 1557 episodes with VTCL ≥320ms. The rate of termination of MVT by AATP was 78% for all VTCL [95% CI: 74%-81%]. In 300 patients (88%) AATP terminated at least one MVT. For MVT with VTCL ≥320ms the termination rate was 80% [95% CI: 75%-83%] and for VTCL &lt;320ms the termination rate was 75% [95% CI: 69%-80%]. The rate of acceleration was 3.6% [95% CI: 2.7%-4.9%], with a 0.8% rate of acceleration to PVT/VF [95% CI: 0.4%-1.8%]. Acceleration led to shock therapy in 63% of accelerated episodes. All MVT accelerated to PVT/VF either spontaneously terminated (4/14) or were successfully converted by a single shock therapy (10/14). All accelerations that remained MVT were successfully treated by the device with either subsequent ATP (35%) or shock therapy (61%), or spontaneously terminated (4%). Conclusion In this large, real-world cohort analysis, automated ATP’s termination rate exceeded the typical success rate of burst ATP, particularly for MVT &lt;320ms. Acceleration to PVT/VF was low and effective first-shock defibrillation was consistent. Subsequent ATP for accelerated MVT had incremental benefit, leading to successful termination one-third of the time. Additional data are currently being prospectively collected in a separate post-approval study.
Chronic safety and performance of the extravascular ICD: results from the global EV ICD Pivotal study
Friedman, Paul A. , Murgatroyd, Francis , Manlucu, Jaimie , Leclercq, Christophe , Amin, Anish K. , Birgersdotter‐Green, Ulrika , Wiggenhorn, Christopher, Boersma, Lucas V.A. , Knight, Bradley P. , Clémenty, Nicolas , Merkely, Béla , Chan, J Y S, Biffi, Mauro , Knops, Reinoud Elwin , Crozier, Ian

Mayo Clinic

European Heart Journal | November 11, 2023 | Volume: 44 | Issue: Supplement_2 | Pages: No page available

10.1093/eurheartj/ehad655.682 Get It

Abstract Background Implantable cardioverter defibrillators (ICDs) prevent sudden cardiac death in patients at high risk for ventricular arrhythmias, but conventional systems carry a risk of transvenous (TV) lead-related complications. The novel extravascular ICD (EV ICD) may reduce some of these complications, while offering anti-tachycardia pacing (ATP), pause prevention pacing, and a device of similar size and projected battery longevity as a TV ICD, by placing a lead substernally. The EV ICD Pivotal study demonstrated EV ICD safety and performance for termination of ventricular arrythmias at 6 months. Longer-term performance is unknown. Purpose To report the chronic safety and performance of the EV ICD system. Methods The extravascular implantable cardioverter defibrillator (EV ICD) Pivotal study was a prospective, international, single-arm, premarket clinical study. Patients with a class I or IIa indication for a single-chamber ICD per ESC or ACC/AHA/HRS guidelines were enrolled. Freedom from major system- and/or procedure-related complications at 18 mo was evaluated, as well as conversion of arrhythmias by anti-tachycardia pacing (ATP) or shock through all available follow up. Rates of ATP success were evaluated using the generalized estimating equation (GEE) and simple proportions. Results Implantation was attempted in 316 patients: 74.7% male, age 53.8±13.1 years, 82% primary prevention, left ventricular ejection fraction of 38.9%±15.4%, and New York Heart Association Class I (23.4%) or II/III (65.5%). Of 299 implanted patients (average follow up 16.2±7.2 mo), 19 experienced 80 spontaneous, appropriately treated arrhythmic episodes: 37 treated by ATP, 15 by ATP and shock, and 28 by shock alone with a Kaplan-Meier (KM) estimated 6.8% of patients experiencing appropriate therapy by 18 mo (Figure). Of discrete episodes treated with shock, 21/21 (100%) were successfully terminated. ATP was delivered in 12 patients, successfully treating 35/52 episodes (67.3%; GEE adjusted 59.0%). Inappropriate shocks occurred in 35 patients through all follow up, with a rate of 10.2% at 1 year. The KM estimate of freedom from major EV ICD system-or procedure-related complications rate through 18 mo was 91.9% (95% CI: 88.2% to 94.4%). The most common event was lead dislodgment (10 events in 9 patients) identified 0 to 120 days post-implant, predominantly due to anchoring technique. Conclusion The safety and effectiveness of a novel EV ICD system with a substernal lead extends through chronic follow up. Shocks were avoided in nearly half of all spontaneous episodes because of the availability of ATP.Figure
In Search of the “Best Test”
Green, Isabel C.

Mayo Clinic

Obstetrics & Gynecology | October 19, 2023 | Volume: 142 | Issue: 5 | Pages: 1017-1018

10.1097/aog.0000000000005408 | PMID 37856852 Get It

The Human Phenotype Ontology in 2024: phenotypes around the world
Gargano, Michael , Matentzoglu, Nicolas , Coleman, Ben , Addo-Lartey, Eunice B, Anagnostopoulos, Anna V. , Anderton, Joel , Avillach, Paul , Bagley, Anita , Bakštein, Eduard , Balhoff, James P. , Baynam, Gareth , Bertram, Holli , Bishop, Somer , Bodenstein, David F. , Botas, Pablo , Cady, J , Cameron, Rhiannon , Castellanos, F , Chan, Lauren , Cruz-Rojo, Jaime , Dahan‐Oliel, Noémi , Davids, Jon R. , Dieuleveult, Maud de , Souza, Vinícius de , Vries, Bert B.A. de , Diaz‐Byrd, Claudia , Duyzend, Michael , Elfeky, Reem , Essaid, Shahim , Fabrizzi, Carolina , Freudenberg‐Hua, Yun , Gabriel, Davera , Moses, Rachel Gore , Green, Ian, Gu, Weihong, Guthrie, Julia, Hamosh, Ada , Hanauer, Marc , Hanušová, Kateřina , He, Yongqun , Helbig, Ingo , Huang, Shangzhi, Joseph, Lisa , Keramatian, Kamyar , King, Bryan , Knoflach, Katrin , Koolen, David A. , Kraus, Megan L , Kroll, Carlo , Kusters, Maaike , Ladewig, Markus S. , Lagorce, David , Laraway, Bryan , Li, Xiarong, Lucano, Caterina , Marazita, Mary L. , Martínez‐Glez, Víctor , McHenry, Toby H, McInnis, Melvin G. , Mihulová, Michaela , Millett, Caitlin E. , Moslerová, Veronika , Narutomi, Kenji, Nevado, Julián , Nierenberg, Andrew A. , Čajbiková, Nikola Novák , Ogishima, Soichi , Olson, Daniel , Ortiz, Abigail, Nanclares, Guiomar Pérez de , Peters, Amy T. , Rapp, Christina , Rath, Ana , Rekerle, Lauren , Roberts, Angharad M. , Roy, Suzy, Sanders, Stephan , Schuetz, Catharina , Schwarz, Martin , Scott, Katie , Seelow, Dominik , Seitz, Berthold , Shen, Yiping , Similuk, Morgan , Simon, Eric S. , Singh, Balwinder , Smith, Cynthia L. , Smolinsky, Jake T , Stafford, Elizabeth , Stefancsik, Ray , Steinhaus, Robin , Strawbridge, Rebecca , Sundaramurthi, Jagadish Chandrabose , Talapova, Polina , Castano, Jair A Tenorio , Tesner, Pavel , Thomas, Rhys H. , Turnovec, Marek , Gijn, Mariëlle van , Vlčková, Markéta , Walden, Anita , Ware, James S. , Wiafe, Addo A, Wiafe, Samuel Agyei , Wiggins, Lisa D. , Williams, Andrew E. , Wu, Chen , Xiong, Hui, Yalın, Nefize , Yamamoto, Yasunori , Yatham, Lakshmi N. , Yocum, Anastasia K. , Young, Allan H. , Yüksel, Zafer , Zandi, Peter P. , Zvolský, Miroslav , Carmody, Leigh , Harris, Nomi L. , Muñoz-Torres, Mónica , Daniš, Daniel , Mungall, Chris , Haendel, Melissa , Robinson, Peter N. , Gargano, Michael A , Bagley, Anita M , Bello, Susan M , Berk, Michael , Bertram, Holli , Bishop, Somer , Blau, Hannah , Bodenstein, David F , Botas, Pablo , Boztug, Kaan , Čady, Jolana , Callahan, Tiffany J , Cameron, Rhiannon , Carbon, Seth J , Castellanos, Francisco , Caufield, J Harry , Chan, Lauren E , Chute, Christopher G , Cruz-Rojo, Jaime , Dahan-Oliel, Noémi , Davids, Jon R , de Dieuleveult, Maud , de Vries, Bert B A , de Vries, Esther , DePaulo, J Raymond , Derfalvi, Beata , Dhombres, Ferdinand , Diaz-Byrd, Claudia , Dingemans, Alexander J M , Donadille, Bruno , Duyzend, Michael , Elfeky, Reem , Essaid, Shahim , Fabrizzi, Carolina , Fico, Giovanna , Firth, Helen V , Freudenberg-Hua, Yun , Fullerton, Janice M , Gilmour, Kimberly , Giordano, Jessica , Goes, Fernando , Moses, Rachel Gore , Griese, Matthias , Groza, Tudor , Guthrie, Julia , Gyori, Benjamin , Hamosh, Ada , Hanauer, Marc , Hanušová, Kateřina , He, Yongqun , Hegde, Harshad , Helbig, Ingo , Holasová, Kateřina , Hoyt, Charles Tapley , Hurwitz, Eric , Jacobsen, Julius O B , Joseph, Lisa , Keramatian, Kamyar , King, Bryan , Knoflach, Katrin , Koolen, David A , Kraus, Megan L , Kusters, Maaike , Ladewig, Markus S , Lagorce, David , Lai, Meng-Chuan , Lapunzina, Pablo , Laraway, Bryan , Lewis-Smith, David , Lucano, Caterina , Majd, Marzieh , Marazita, Mary L , Martinez-Glez, Victor , McInnis, Melvin G , McMurry, Julie A , Mihulová, Michaela , Millett, Caitlin E , Mitchell, Philip B , Moslerová, Veronika , Nematollahi, Shahrzad , Nevado, Julian , Nierenberg, Andrew A , Čajbiková, Nikola Novák , Nurnberger, John I , Ogishima, Soichi , Olson, Daniel , Ortiz, Abigail , Pachajoa, Harry , Perez de Nanclares, Guiomar , Peters, Amy T , Putman, Tim , Rath, Ana , Reese, Justin , Rekerle, Lauren , Sanders, Stephan J , Schuetz, Catharina , Schulte, Eva , Schulze, Thomas , Schwarz, Martin , Scott, Katie , Seelow, Dominik , Seitz, Berthold , Similuk, Morgan N , Simon, Eric S , Singh, Balwinder , Smedley, Damian , Smith, Cynthia L , Smolinsky, Jake T , Sperry, Sarah , Stafford, Elizabeth , Stefancsik, Ray , Steinhaus, Robin , Strawbridge, Rebecca , Sundaramurthi, Jagadish Chandrabose , Talapova, Polina , Tenorio Castano, Jair A , Tesner, Pavel , Thomas, Rhys H , Thurm, Audrey , Turnovec, Marek , van Gijn, Marielle E , Vasilevsky, Nicole A , Vlčková, Markéta , Walden, Anita , Wang, Kai , Wapner, Ron , Ware, James S , Wiafe, Samuel A , Wiggins, Lisa D , Williams, Andrew , Wyrwoll, Margot J , Yalin, Nefize , Yamamoto, Yasunori , Yatham, Lakshmi N , Yocum, Anastasia K , Young, Allan H , Yüksel, Zafer , Zandi, Peter P , Zankl, Andreas , Zarante, Ignacio , Zvolský, Miroslav , Toro, Sabrina , Carmody, Leigh C , Harris, Nomi L , Munoz-Torres, Monica C , Danis, Daniel , Mungall, Christopher J , Köhler, Sebastian , Haendel, Melissa , Robinson, Peter N , Berk, Michael , Chute, Christopher G. , Fico, Giovanna , Fullerton, Janice M. , Giordano, Jessica L. , Jiang, Xiaofeng , Lai, Meng‐Chuan , Schulte, Eva C. , Smedley, Damian , Sperry, Sarah H. , Xiong, Hui

Mayo Clinic

Nucleic Acids Research | October 19, 2023 | Volume: 52 | Issue: D1 | Pages: D1333-D1346

10.1093/nar/gkad1005 | PMID 37953324 Get It

Abstract The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.
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 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Mayo Clinic

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.
Reply by Authors
Green, Benjamin , Flores, Ashley, Warner, Jacob, Köhler, Tobias , Trost, Landon , Helo, Sevann

Mayo Clinic

Journal of Urology | October 9, 2023 | Volume: 210 | Issue: 5 | Pages: 801-802

10.1097/ju.0000000000003634.04 | PMID 37811754 Get It

Comparison of Collagenase Clostridium histolyticum to Surgery for the Management of Peyronie’s Disease: A Randomized Trial
Green, Benjamin , Flores, Ashley, Warner, Jacob, Köhler, Tobias , Trost, Landon , Helo, Sevann

Mayo Clinic

Journal of Urology | October 9, 2023 | Volume: 210 | Issue: 5 | Pages: 791-802

10.1097/ju.0000000000003634 | PMID 37811752 Get It