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Showing 10 of 107854 citations.

Drivers of Diagnostic Variation in a Digital Global Kidney Transplant Reader Study
Hofstraat-Boersma, Rianne, Long, Romy du , Buzzanca, Giorgio , Abiola, Adeyemi A., Albadri, Sam, Ali, Zahabia, Altaleb, Ahmed, Banu, Sultana G., Barry, Marc , Bhalodia, Ami , Bianco, Paola, Broecker, Verena , Buelow, Roman, Cheunsuchon, Boonyarit , Crisi, Giovanna M., Daneshvar, Simin, Dokouhaki, Pouneh, Drachenberg, C., Florquin, Sandrine, Gibson, Ian W., Gujarathi, Saurabh, Hendricks, Allen R. , Islam, Jaynul, Ismail, Wesam, Jagannathan, Geetha , Kläger, Johannes, Krizova, Adriana , Kurien, Anila A., Kwon, Boomi , Ledesma, Felipe L., Martin, Jonne, Mehta, Shweta S., Messias, Nidia , Mignano, Salvatore , Miranda, Monik E., Moeckel, Gilbert, Pala, Chiara, Ranson, Marc A., Rodriguez, A Castell, Rosenberg, Avi, Setty, Suman , Sheaff, M., Soares, Maria F.S., Surintrspanont, Jerasit , Terinte-Balcan, George, Testa, Francesca , Ticas, David O. Hendriquez, Toniolo, Maria F., Midden, Dominique van, Velagapudi, R, Viswanathan, Seethalakshmi , Stillfried, Saskia von, Kalverboer, Nienke , Bruns, Imke B. , Callegaro, Giulia , Vries, A A F De, Peters-Sengers, Hessel, Kers, Jesper, Hofstraat, Rianne , Adefidipe, Adeyemi Abiola, Albadri, Sam , Angioi, Andrea , Banu, Sultana Gulshana, Bianco, Paola, Buelow, Roman David, Chauveau, Bertrand , Chen, Guoli , Crisi, Giovanna Maria, Dendooven, Amélie , Drachenberg, Cinthia Beskow , Farris, Alton B. , Ferlicot, Sophie , Florquin, Sandrine , Fontana, Francesco , Gibier, Jean‐Baptiste , Gibson, Ian W. , Husain, Sufia , Ismail, Wesam, Kläger, Johannes Philipp , Kozakowski, Nicolas , Kurien, Anila Abraham , L’Imperio, Vincenzo , Ledesma, Felipe L , Low, Julia P. , Miranda, Monik Ediana , Price, Brendon , Ranson, Marc Andres, Roelofs, Joris J. T. H. , Sadeghipour, Alireza , Sekulic, Miroslav , Setty, Suman , Soares, Maria Fernanda , Terinte‐Balcan, George , Ticas, David Henriquez, Toniolo, María Fernanda , Midden, Dominique van , Velagapudi, Ramya Krishna , Stillfried, Saskia Freifrau von , Wu, Chih‐Ying , Water, Bob van de , Helm, Danny van der , Sengers, Hessel Peters , Kers, Jesper

Mayo Clinic

No container title available | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.09.26357318 Get It

ABSTRACT Background Diagnostic interpretation of kidney allograft biopsies using the Banff classification remains variable, but the determinants of this variability are not fully defined. We performed a global, fully digital multi-reader study to identify the principal drivers of disagreement in Banff-based assessment. Methods Thirty-six kidney transplant biopsies were independently scored by 67 renal pathologists on a standardized digital platform. Readers assessed Banff lesions on hematoxylin and eosin, periodic acid–Schiff, and Jones’ silver stains; final diagnostic categories were assigned using prespecified Banff-based decision rules. Interobserver agreement was quantified with Gwet’s agreement coefficient (AC) statistics. Determinants of diagnostic agreement were evaluated using pairwise mixed-effects logistic regression, and reader similarity was examined by principal component analysis (PCA) with post hoc molecular annotation. Results Agreement for final diagnostic categories was moderate (Gwet’s AC1, 0.55; 95% CI, 0.47–0.63). Lesion-level agreement varied substantially, with lowest agreement for selected threshold-dependent inflammatory or semi-quantitative lesions, including interstitial inflammation in areas of IFTA, peritubular capillaritis and arteriolar hyalinosis. Diagnostic concordance differed markedly across biopsies, indicating strong case-level heterogeneity. In pairwise models, differences in active inflammatory and vascular lesion scoring were the strongest correlates of diagnostic disagreement; reader experience and geography contributed minimally. Principal component analysis showed reader variation was organized along two dominant axes: a rejection-calling threshold axis linked mainly to tubulointerstitial inflammatory injury, and a T cell-mediated (TCMR/TI) and antibody-mediated/microvascular (AMR/MVI) inflammation-oriented phenotypic classification axis. Conclusion Interobserver variation in Banff-based kidney transplant biopsy assessment is structured rather than random and driven mainly by how readers threshold and integrate key inflammatory lesion compartments rather than experience or geographic location.
Association of Plasma Neurofilament Light Chain With Diagnostic Classification in a Neuromuscular Referral Cohort
Schipani, Elke , Jones, Felipe J.S. , Bornhorst, Joshua A. , Sorenson, Eric J. , Dubey, Divyanshu , Pinto, Marcus Vinícius , Schipani Bailey, Elke , Staff, Nathan P , Bornhorst, Joshua , Sorenson, Eric , Dubey, Divyanshu , Pinto, Marcus V , Mauermann, Michelle L , Jones, Felipe J S , Staff, Nathan P. , Mauermann, Michelle L.

Mayo Clinic

Neurology | July 13, 2026 | Volume: 107 | Issue: 3 | Pages: No page available

10.1212/wnl.0000000000218304 | PMID 42441926 Get It

Lessons Learned from Nonoperative Management of Greater Trochanter Fractures After Total Hip Arthroplasty
Wang, P S, Labott, Josh R, Perez, Sergio F Guarin, Restrepo, Diego J, Hannon, Charles P, Abdel, Matthew P, Sierra, Rafael J, Sierra, Rafael J. , Abdel, Matthew P. , Hannon, Charles P. , Perez, Sergio F. Guarin , Restrepo, Diego J. , Wang, Pai-Han , Guarin Perez, Sergio F , Restrepo, Diego J. , Hannon, Charles P , Abdel, Matthew P , Sierra, Rafael J , Labott, Joshua R.

Mayo Clinic

JBJS Open Access | July 13, 2026 | Volume: 11 | Issue: 3 | Pages: No page available

10.2106/jbjs.oa.26.00168 | PMID 42428036 Get It

Background: Greater trochanteric (GT) fractures after total hip arthroplasty (THA) are typically managed nonoperatively. However, outcome data for patient counseling remain limited. We evaluated the nonoperative results, focusing on fracture union rates and the presence of persistent limp in relation with fracture location, displacement magnitude, and direction. Methods: We retrospectively reviewed 82 postoperative GT fractures not associated with trochanteric osteolysis following primary THA performed between 1984 and 2020. The mean follow-up was 9 years. Fracture location was classified relative to the contralateral lesser trochanter as tip, waist, or base. Initial displacement, migration, final displacement, and bony union were assessed radiographically. Clinical outcomes included the presence of a persistent limp and Harris Hip Score. Multivariable analyses were performed to identify factors associated with nonunion and limp. Results: Fractures were classified as tip (n = 32), waist (n = 29), or base (n = 21). The mean initial displacement was 8.9 mm, with 43% displaced >10 mm. Initial displacement was significantly lower in base fractures (4.8 mm) compared with tip (10.1 mm) or waist (10.8 mm) fractures (p < 0.05). The mean final displacement was 14.6 mm. 45% of fractures achieved complete bony union, and 38% of patients demonstrated a persistent limp. In multivariable analysis, greater final displacement (>12 mm), and tip and waist fractures were independently associated with nonunion. Posterior fracture displacement was significantly associated with persistent limp. Conclusions: Outcomes following nonoperative management of GT fractures after THA depend on fracture morphology and displacement characteristics. Tip and waist fractures and fractures with final displacement >12 mm have a higher risk of nonunion, whereas posterior and superior displacement is associated with persistent limp. Greater than 20 mm of displacement is associated with both limp and nonunion. These findings may assist surgeons in counseling patients and in identifying fracture patterns at higher risk for adverse outcomes of nonoperative management. Level of Evidence: Level III (Prognostic Study). See Instructions for Authors for a complete description of levels of evidence.
Using a translational data platform to create clinical-grade genome-informed risk assessments
Morse, Jennifer L, He, Megan, Bangash, Hana , Cortopassi, Joshua, Forman, Sophie, Gordon, Adam S, Hamed, Marwan, Karlson, Elizabeth W. , Kiryluk, K, Kullo, Iftikhar J, Lewis, Adam, Limdi, Nita, Marathe, Priya, McGuffin, Kyle, Odgis, Jacqueline, Perez, Emma, Petrzelka, Jacob, Prows, Cynthia A. , Thomas, Ellis, Wiesner, Georgia L. , Wilson, Travis, Linder, Jodell E. , Liu, Cong , Rasmussen, Luke V , Morse, Jennifer L. , Chung, Wendy K. , Cortopassi, Josh , Gordon, Adam S, Harris, Paul A. , Kenny, Eimear E , Kiryluk, Krzysztof , Kullo, Iftikhar J. , Lewis, Adam J. , Liu, Cong , Marathe, Priya , McGuffin, Kyle, Odgis, Jacqueline A. , Perez, Emma , Rasmussen, Luke V. , Thomas, Ellis, Peterson, Josh F.

Mayo Clinic

JAMIA Open | July 13, 2026 | Volume: 9 | Issue: 4 | Pages: No page available

10.1093/jamiaopen/ooag118 | PMID 42445300 Get It

Abstract Objective To describe the development and implementation of an automated platform for genomic risk prediction that integrates multiple data types. Materials and methods Using the REDCap infrastructure, we constructed the R4 (Recruitment, Results, and Risk Reduction) platform to intake data from clinical sites, partner laboratories, participant surveys, and electronic health record (EHR) data across 13 institutions. Results The R4 Portal successfully integrated data to generate genome-informed risk assessments (GIRAs) across 11 conditions for a 23 840 person cohort. Testing phases and quality control led to network-wide protocols ensuring consistency and accuracy. Discussion As the science of estimating disease risk evolves, standardized and high-throughput methods of collecting and manipulating complex data are required. Platforms should be open-source, modular, and reusable, ensuring flexibility, security, and integration across healthcare environments. Conclusion The electronic MEdical Records and GEnomics (eMERGE) network successfully generated and returned comprehensive risk profiles using logic and data specific to 11 conditions in a secure and semi-automated fashion employing a customized REDCap database.
Amyloid PET Quantitation and Centiloid Thresholds in the Diagnosis of Alzheimer Disease
Soleimani‐Meigooni, David N. , Chiotis, Konstantinos, Allen, Isabel E., Rabinovici, Gil D., Joie, Renaud La , Group, Meta-Centiloid Study, Apostolova, Liana G. , Asken, Breton M., Benzinger, Th., Betthauser, Tobey J., Bluma, Marina, Bombois, Stephanie, Bourgeat, Pierrick, Bouteloup, Vincent , Braskie, Meredith N., Brendel, Matthias, Brickman, Adam M., Bryant, Natalie, Bullich, Santiago , Carrillo, Maria C., Casaletto, Kaitlin, Cash, David M., Chang, Chiung-Chih, CHANG, H L, Chao, Yishu , Collij, Lyduine E., Corrada, Maria M., Craft, Suzanne , Dickerson, Bradford C., Dubois, Bruno, Dufouil, Carole, Fajardo, Alfonso, Farrar, Gill , Fortea, Juan, Frings, Lars , Frisoni, Giovanni B., Gardner, Raquel C., Gnörich, Johannes , Gordon, Brian A., Gu, Yuna , Guan, Yihui, Guo, Tengfei, Hanseeuw, Bernard J., Hansson, Oskar, Harrison, Theresa M., Huang, Qi, Huang, ST , Iaccarino, Leonardo, Ishii, Kazunari, Ishi, Kenji, Jagust, William J., Johnson, Sterling C., Kato, Takashi, Katsumi, Yuta, Kaye, Jeffrey, Kolinger, Guilherme D., Kramer, Joel H. , Landau, Susan M., Landeau, Brigitte, Lao, Patrick J., Lee, Sangwon, Lopresti, Brian J., Lowe, Val J. , Luchsinger, José A., Mao, Xiaoxie, March, Andrew, Masters, Colin L., Meyer, Philipp T., Mezenge, Florence, Mormino, Elizabeth C., Franquesa‐Mullerat, María , Nakamura, Akinori, Nordberg, Agneta, O’Brien, John T., O’Bryant, Sid E., Pappas, Ioannis, Peretti, Debora E., Rowe, Christopher C., Rowe, James B., Schwartz, Daniel L., Seo, Sang Won , Shekari, Mahnaz, Smith, Ruben, Snyder, Heather M. , Sokolowski, Andrzej, Sperling, Reisa A., Sun, Pan, Taggett, Jacinda Z., Touroutoglou, Alexandra , Vaillancourt, David E., Giessen, Elsmarieke van de, Vijverberg, Jort, Villemagne, Victor L. , Villeneuve, Sylvia , Wang, Wei-en, Weiner, Michael, Woodworth, Davis, Xiao, Cally , Xie, F, Yoon, Yeojun, Yun, Mijin, Severanc, A4, ABIDE, ADNI*, ADNI-DoD, AgeWell, AIBL, AMYPAD, BACS, BATON, BIOCARD, BLSA, BioFINDER-2, BrANCH, CPAS, DETECT-AD, GEMS, GHABS, HABS, HABS-HD, IDEAS, IMAP, INSIGHT-preAD, Insight46, K-ROAD, LEADS, MCSA, MULNIAD, MEMENTO, SCAN, PREVENT-AD, SPIN,, Corrada, María M. , La Joie, Renaud , Blazhenets, Ganna , Chiotis, Konstantinos , Allen, Isabel Elaine , Rabinovici, Gil D. , Asken, Breton M. , Bejanin, Alexandre , Benzinger, Tammie L.S. , Betthauser, Tobey J. , Blūma, Marina , Bombois, Stéphanie , Bourgeat, Pierrick , Braskie, Meredith N. , Brendel, Matthias , Brickman, Adam M. , Carrillo, María C. , Casaletto, Kaitlin B. , Cash, David M. , Chang, Chiung‐Chih , Chang, Hsin‐I , Chêne, Geneviève , Chételat, Gaël , Coath, William , Collij, Lyduine , Colmant, Lise , Dickerson, Bradford Clark , Dubois, Bruno , Dufouil, Carole , Fortea, Juan , Garibotto, Valentina , Gordon, Brian A. , Guan, Yihui , Guo, Tengfei , Hanseeuw, Bernard , Hansson, Oskar , Harrison, Theresa M. , Iaccarino, Leonardo , Ishii, Kazunari , Ishii, Kenji, Jagust, William J. , Johnson, Sterling C. , Katsumi, Yuta , Kaye, Jeffrey , Koeppe, Robert A. , Kolinger, Guilherme Domingues , Landau, Susan , Landeau, Brigitte , Lao, Patrick , Lee, Sangwon, Lleó, Alberto , Lopresti, Brian J. , Malpetti, Maura , March, Andrew, Masters, Colin L. , Mézenge, Florence, Mormino, Elizabeth C. , Nakamura, Akinori , Nordberg, Agneta , O'Brien, John Tiernan , O’Bryant, Sid E. , Pappas, Ioannis , Quenon, Lisa , Rowe, Christopher Cleon , Rowe, James B. , Rudolph, Marc D. , Salvadó, Gemma , Schott, Jonathan M. , Schwarz, Christopher G. , Shekari, Mahnaz , Silbert, Lisa C. , Smith, Ruben, Sokolowski, Andrzej, Sperling, Reisa Anne , Sun, Pan , Taggett, Jacinda , Toga, Arthur W. , Vaillancourt, David E. , Giessen, Elsmarieke van de , Vemuri, Prashanthi , Villain, Nicolas , Wang, Wei‐en , Weiner, Michael W. , Xie, Fang , Young, Christina B. , Yun, M R

Mayo Clinic

JAMA | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jama.2026.13116 | PMID 42441390 Get It

Importance Amyloid positron emission tomography (PET) is increasingly used in research and clinical settings to determine the etiology of cognitive decline and eligibility for amyloid-targeting therapies. To assist with amyloid PET evaluation and to guide clinical decision-making, images can be quantified in a standardized unit called Centiloid, the interpretation of which can vary according to the method and threshold used. Objective To collect Centiloid values from available studies and determine robust positivity cutoffs using data-driven methods and correspondence with visual reads. Data Sources PubMed search (October 2024) identified studies with Centiloid values. Corresponding authors were invited to share individual participant data. Additional data were obtained through access-controlled repositories and conference outreach (July 2024-July 2025). Study Selection Studies were included if they provided Centiloids, radiotracer, age, and sex. Data Extraction and Synthesis Each study was analyzed using a unified statistical pipeline; study estimates were pooled using random-effects meta-analysis. Main Outcomes and Measures Gaussian mixture models (GMMs) were fitted to Centiloid values for each study. In studies with a bimodal distribution (per integrated completed likelihood), single cutoffs for positivity were set as mean plus 2 SDs of the lower gaussian component. Using GMMs, a double-cutoff approach defined a lower certainty range using a 90% posterior probability cutoff for assignment to the low (amyloid-negative) vs high (amyloid-positive) component. An alternative Centiloid cutoff was derived from maximizing the correspondence (Cohen κ) with the binary visual reads when available. Results This meta-analysis included cross-sectional amyloid PET scans acquired with 5 radiotracers from 49 227 participants across 53 studies from 15 countries (mean age, 71 years; 54% female, 62% cognitively impaired). The data-driven GMM approach identified a bimodal distribution in 51 studies (n = 48 786), resulting in a single cutoff for positivity of 18 Centiloids (95% CI,16-19; I 2 = 97%). The double-cutoff approach revealed high confidence for interpreting scans as negative when Centiloid values were lower than 11 (95% CI, 9-13; I 2 = 95%) and interpreting scans as positive if Centiloid values were higher than 26 (95% CI, 24-28; I 2 = 95%). In analyses of correspondence with binary (positive or negative) visual reads of amyloid PET scans (n = 35 045; 36 studies), Centiloids were highly predictive of visual positivity (Cohen κ, 0.86; 95% CI, 0.83-0.89; I 2 = 96%) with a cutoff of 27 Centiloids (95% CI, 24-30; I 2 = 80%). Conclusions and Relevance In this individual participant data meta-analysis, positivity cutoffs converged around 18 Centiloids (data-driven) and 27 Centiloids (visual reads). Findings from a double-cutoff analysis suggest that scans in the 11 to 26 Centiloid range should be interpreted with caution depending on the context of use.
Plasma Phosphorylated Tau 217 in Participants at Risk for Chronic Traumatic Encephalopathy
Miner, A, Zetterberg, Henrik, Blennow, Kaj, Groh, Jenna R., Singh, Alpana, Dieckhoff, Kari, Tripodis, Yorghos, Adler, Charles H., Balcer, Laura J. , Bernick, C L, Peskind, Elaine, Asken, Breton M., Tanner, Jeremy A., Rabinovici, Gil D., Banks, Sarah J., Barr, William B., Wethe, Jennifer V., Cantu, Robert C., Dodick, David W., Mez, Jesse, Palmisano, J, Martin, Brett, Stein, Thor D., McKee, Ann C., Cummings, Jeffrey L., Shenton, Martha E., Reiman, E Bieto, Rc, Stern, Ashton, Nicholas J., Alosco, Michael L., Chen, Kewei, Protas, Hillary, Su, Yi, Boker, Connie, Au, Rhoda, Farrer, Lindsay, Helm, Robert, Kowall, Neil, Mercier, Gustavo, Otis, James, Weller, Jason, Bragg, Tahlia, Simkin, Irene, Trujillo-Rodriguez, Diana, Amerongen, Suzan van , Andino, Alondra, Conneely, Shannon, Diamond, Courtney, Fagle, Tessa, Haller, Olivia, Hunt, Tennyson, Gullotti, Nicole, Kossow, Bailey, Kugelmass, Carrie, Mariani, Megan, Mayville, Brian, McLaughlin, Kathleen, Nanna, Mary, DiPopolo, Marty, Platt, Taylor, Rice, Fiona, Sestak, Madison, McClean, Michael, Annis, Douglas, Chaisson, Christine, Dixon, Diane, Finney, Carolyn, Gallagher, Kerrin, Hartlage, Kaitlin , Lu, Jun, Ojo, E O, Pine, Brittany, Ramachandran, Janani, Baucom, Zachary, Tuz‐Zahra, Fatima , Yhang, Eukyung , Bouix, Sylvain, Fitzsimmons, Jennifer, Lin, Alexander P., Koerte, Inga K., Pasternak, Ofer, Arciniega, Hector , Billah, Tashrif , Bonke, Elena, Breedlove, Katherine M. , Carrington, Holly, Coello, Eduardo , Coleman, Michael J., John, Omar , Jung, Leonard, Liao, Huijun, Loy, Maria, Rizzoni, Elizabeth, Schulz, V. D., Silva, Annelise, Vessey, Brynn, Wiegand, Tim L.T, Miller, Jason, Ritter, Aaron , Sabbagh, Marwan, Cruz, Raelynn de la, Durant, Jan, Golceker, Morgan, Harmon, Nicolette, Kaylegian, Jaeson, Long, Rachelle, Nance, Christine, Sandoval, Priscilla, Staples, Miranda, Clark, Emma F., Serrano, Andrew, Geda, Yonas, Duffy, Amy, Falk, Bryce, Howard, Marci, Montague, Michelle , Osgood, Thomas, Babcock, Debra, Bellgowan, Patrick, GOLDBERG, JUDITH, Joseph, Binu , Kirov, Ivan, Lui, Yvonne, Marmar, Charles, Wisniewski, T R, Al-Kharafi, Alhassan, George, Allan, Hasanaj, Lisena, Martin, Sammie, Riley, Edward, Runge, William, Serrano, Liliana , Iliff, Jeffrey, Li, Gail, Janssen, D, Meabon, James, Piantino, Juan, Schindler, Abigail, Thomas, Ronald, Colasurdo, Elizabeth , Shofer, Jane, Marcus, Daniel S., Gurney, Jenny , Greenwald, Richard, Johnson, Keith A., Singh, Alpana , Singh, Alpana , Miner, Annalise E., Zetterberg, Henrik , Blennow, Kaj , Groh, Jenna R. , Singh, Alpana, Tripodis, Yorghos , Adler, Charles H. , Bernick, Charles , Peskind, Elaine R. , Asken, Breton M. , Rabinovici, Gil D. , Banks, Sarah J. , Barr, William , Wethe, Jennifer V. , Cantu, Robert C. , Dodick, David W. , Mez, Jesse , Stein, Thor D. , McKee, Ann C. , Cummings, Jeffrey L. , Shenton, Martha E. , Reiman, Eric M. , Ashton, Nicholas J. , Alosco, Michael L. , Protas, Hillary , Au, Rhoda, Weller, Jason , Trujillo‐Rodriguez, Diana , Fagle, Tessa, Mariani, Megan, McLaughlin, Kathleen , Pulukuri, Surya Vamsi , Sestak, Madison, McClean, Michael D , Annis, Douglas, Finney, Carolyn, Lu, Jun, Pine, Brittany, Ramachandran, Janani , Baucom, Zachary, Bouix, Sylvain , Koerte, Inga K , Pasternak, Ofer , Bonke, Elena M. , Carrington, Holly , Coleman, Michael J. , Liao, Huijun, Schulz, Vivian, Wiegand, Tim L. T. , II, Robert W. Turner , Marek, Kenneth , Geda, Yonas E. , Howard, Marci, Montague, Michelle, Babcock, Debra, Bellgowan, Patrick S.F. , Kirov, Ivan, George, Allan, Meabon, James S. , Piantino, Juan , Thomas, Ronald G. , Colasurdo, Elizabeth A. , Shofer, Jane, Marcus, Daniel S., Johnson, Keith A.

Mayo Clinic

JAMA Network Open | July 13, 2026 | Volume: 9 | Issue: 7 | Pages: e2622966

10.1001/jamanetworkopen.2026.22966 | PMID 42440317 Get It

Importance In vivo biomarkers for detecting neuropathologies from repetitive head impacts (RHI), including chronic traumatic encephalopathy (CTE), are needed. Objective To evaluate the utility of plasma phosphorylated tau 217 (p-tau217), assess its performance as a beta-amyloid (Aβ) biomarker in participants with RHI exposure at risk for CTE, and explore concordance with CTE neuropathology in a postmortem subsample. Design, Setting, and Participants This longitudinal, multicenter, case-control study used data from the Diagnostics, Imaging, and Genetics Network for the Objective Study and Evaluation of CTE (DIAGNOSE CTE) Research Project, collected from September 2016 to October 2023. Participants were former American football players (case participants) and asymptomatic men unexposed to RHI (control participants). A subsample had available neuropathologic data. Exposures RHI, traumatic encephalopathy syndrome (TES) diagnoses, and levels of CTE certainty. Main Outcomes and Measures Plasma p-tau217 (classified as positive [≥0.63 pg/mL], intermediate [0.40-0.62 pg/mL], and negative [&amp;lt;0.40 pg/mL]), Aβ–positron emission tomography (PET; 18 F-florbetapir; with Aβ-positive defined as a standardized uptake value ratio [SUVR] ≥1.10), and tau-PET ( 18 F-flortaucipir). TES diagnoses were assigned by multidisciplinary consensus conference. Analyses of postmortem brains controlled for age, race, and APOE ε4 status. Results Among 231 participants (mean [SD] age, 57.75 [8.25] years), 177 were former football players (117 professional and 60 college) and 54 were unexposed participants. Former football players had higher baseline mean (SD) p-tau217 concentrations than unexposed participants (0.35 [0.26] pg/mL vs 0.27 [0.14] pg/mL; P = .008), although this was driven by a higher proportion of Aβ-PET–positive participants among former players. Plasma p-tau217 increased over time across the sample (B = 0.207 [95% CI, 0.117-0.298]; P &amp;lt; .001), with no significant time × exposure group interactions. Among football players, p-tau217 showed no time × group interactions with TES diagnosis, TES-CTE certainty, or RHI metrics. Higher p-tau217 concentration correlated with higher global Aβ-PET SUVR (B = 0.058 [95% CI, 0.053-3.501; P = .01), with a few discordant cases (5 participants were p-tau217–negative and Aβ-PET–positive; 7 participants were p-tau217–positive and Aβ-PET–negative). P-tau217 had similar areas under the curve for projecting Aβ-PET positivity as cerebrospinal fluid (CSF) p-tau181/Aβ42 and CSF Aβ40/42 measures (p-tau217: AUC, 0.88 [95% CI, 0.80-0.96]; CSF p-tau181/Aβ42: AUC, 0.89 [95% CI, 0.79-1.00]; CSF Aβ40/42: AUC, 0.85 [95% CI, 0.72-0.98]). Among 9 brain donors, 6 had CTE (stages II-IV; none with Alzheimer disease). Seven had negative or intermediate p-tau217, concordant with Aβ-PET. Two p-tau217 outliers with stage III CTE had normal concentrations upon additional testing. Conclusions and Relevance The findings of this study suggest that plasma p-tau217 concentration is unlikely to be useful for the detection of CTE, but it does show utility for ruling out Aβ pathology in participants at risk for CTE.
Interleukin 6 Receptor Blockade for Relapse Prevention in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease
A, Prera Vilaseca, Bilodeau, Philippe, Gakis, Georgios , Savransky, Andrea, Oliveira, Joao Mahler Ferreira, Nguyen, Linda, Hooshmand, Sam I., Satyanarayan, Sammita , Moseley, Carson E., Haley, Leah , Roy-Hewitson, Chantal, Marrodan, M, Casallas, Adriana, Manín, Analisa , Chen, H, Grzezulkowska, Aniela, Contentti, Edgar Carnero, Galleguillos, Lorna, Upchurch, Margaret, Jackson-Tarlton, Caitlin S. , Guo, Joanne Chu-Yueh, Fabian, Michelle, Caparó-Zamalloa, César, Paterno, R, Waubant, Emmanuelle, Boschetti, Laura Ordoñez, Correale, Jorge, Villa, Andrés M., Banwell, Brenda, Marignier, Romain, Pittock, Sean J., Greenberg, Benjamin , Bennett, Jeffrey L., Cho, Tracey, Clardy, Stacey, Solomon, Andrew J., Ja, Gelfand, Obeidat, Ahmed Z., Blackburn, Kyle, Tenembaum, Silvia , Chen, John J., Sotirchos, Elias S., Levy, Michael, Flanagan, Eoin P., Group, and The Americas MOGAD Treatment, Murillo, Fabian, Syc-Mazurzek, Stephanie B., Jiang, Mulan , Rezende, N, Wingerchuk, D M, Horsman, Susan E. , Bilodeau, Philippe‐Antoine , Bilodeau, Philippe A , Vilaseca, Andreu , Hooshmand, Sam , Moseley, Carson E. , Marrodán, Mariano , Vanegas, Adriana Casallas , Hoshina, Yoji , Contentti, Edgar Carnero , Galleguillos, Lorna , Virupakshaiah, Akash , Arrambide, Georgina , Caparó‐Zamalloa, César , Waubant, Emmanuelle L. , Ordóñez-Boschetti, Laura, Villa, Andres Maria , Marignier, Romain , Pittock, Sean J. , Bennett, Jeffrey L. , Cho, Tracey , Clardy, Stacey , Solomon, Andrew , Kister, Ilya , Zamvil, Scott S. , Gelfand, Jeffrey M. , Repovic, Pavle , Obeidat, Ahmed Zayed , Blackburn, Kyle , Chen, John J., Sotirchos, Elias S. , Levy, Michael , Flanagan, Eoin P. , Syc‐Mazurek, Stephanie B. , Cacciaguerra, Laura , Rezende, Nathane Braga da Silva, Wingerchuk, Dean M.

Mayo Clinic

JAMA Neurology | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jamaneurol.2026.2220 | PMID 42440328 Get It

Importance Myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) lacks proven relapse-preventive therapies. While clinical trials are ongoing, safety data may be limited and approved drugs are costly. Studies of interleukin 6 receptor blocker (IL-6RB) in MOGAD are limited by small numbers and no comparative studies, contributing to low use. Objective To evaluate the impact of IL-6RB therapy on relapse rates in MOGAD and compare relapse frequency with intravenous immunoglobulin (IVIG). Design, Setting, and Participants This international, multicenter, retrospective cohort study (January 1, 2015, through December 31, 2025) included a historical IVIG-treated cohort of varying doses. The study took place across sites in North and South America (US, Canada, Mexico, Argentina, Brazil, Chile, Colombia, and Peru). Patients with MOGAD (n = 116, no excluded patients) who received at least 1 dose of an IL-6RB were included. These data were analyzed in January 2026. Exposures Tocilizumab or satralizumab. Main Outcomes and Measures Annualized relapse rate (ARR) during IL-6RB therapy, time to next relapse after treatment initiation, and adverse events. Outcomes were compared with the IVIG cohort using inverse probability of treatment weighting (IPTW) adjusted for age, sex, prior ARR, and concomitant therapies. Results A total of 116 patients with MOGAD (89% relapsing) receiving IL-6RB (tocilizumab, 104 [90%] and satralizumab, 12 [10%]) were included; overall, 60.3% were female, 39.7% were male, and 18% were younger than 18 years. The median (IQR) IL-6RB treatment follow-up was 1.4 (0.7-2.5) years and 23 relapses occurred during 241.8 person-years of IL-6RB therapy. The ARR decreased from 0.64 (95% CI, 0.58-0.70) for relapsing MOGAD before IL-6RB to 0.09 (95% CI, 0.06-0.14) during IL-6RB treatment (incidence rate ratio, 0.08; 95% CI, 0.04-0.16). Adverse events occurred in 58 patients (50%), most commonly mild infections, although 10 (9%) had severe infections. In the IVIG cohort (n = 59), 30 relapses occurred over 133.8 person-years (ARR, 0.22; 95% CI, 0.15-0.32). After IPTW, IL-6RB was associated with a lower hazard ratio (HR) than the group who underwent IVIG therapy less than 1 g/kg every 4 weeks (HR, 4.5; 95% CI, 2.0-9.8), with no significant difference vs the group who underwent IVIG 1 g/kg or more every 4 weeks (HR, 2.0; 95% CI, 0.8-4.5). Conclusions and Relevance In this multicenter observational cohort, IL-6RB use in MOGAD was associated with low relapse rates and a favorable safety profile, though severe infections occurred occasionally. Relapse rates were lower than the group who underwent IVIG less than 1 g/kg every 4 weeks but not significantly different from the group who underwent IVIG 1 g/kg or more every 4 weeks. This supports IL-6RB as a potential relapse-prevention therapy in MOGAD; the wide availability and relative affordability of tocilizumab may enable broad global use.
Smoking Cessation in Primary Care: A Narrative Review of Evidence-Based Treatment, Emerging Technology, and Harm Reduction Approaches
Croghan, Ivana T. , Elrashidi, Muhamad Y. , Milbrandt, Timothy J., Ghosh, Aditya , Fokken, Shawn C. , Ebbert, Jon O. , Hurt, Ryan T. , Elrashidi, Muhamad Y , Ghosh, Aditya K , Ebbert, Jon O

Mayo Clinic

Journal of Primary Care & Community Health | July 13, 2026 | Volume: 17 | Issue: No issue available | Pages: No page available

10.1177/21501319261468510 | PMID 42439787 Get It

Conventional cigarette smoking remains a leading preventable cause of morbidity and mortality despite declining prevalence, yet evidence-based treatments remain underused. This narrative review examines guideline-supported therapies and emerging approaches, including digital tools, neuromodulation, and harm-reduction strategies. Standard care typically combines FDA-approved pharmacotherapy with behavioral counseling. Digital interventions can extend access and support adherence, particularly when integrated with pharmacotherapy and follow-up. Repetitive transcranial magnetic stimulation (rTMS) can be considered as an adjunctive option for patients who do not respond to pharmacotherapy and is FDA-approved. For patients unable to quit, structured harm-reduction strategies may help reduce risk while supporting progression toward eventual abstinence. These approaches should be used alongside, not in place of, guideline-recommended pharmacotherapy and behavioral counseling, which remain the gold standard for care. This review outlines a pragmatic, primary care–oriented model that integrates stepped-care with harm-reduction strategies.
Assessing Equality of Touch to Guide Targeted Implementation of Post-induction Surface Disinfection Cleaning and Augmentation With Ultraviolet-C Irradiation
Dexter, Franklin, Koff, Matthew D. , Gibbons, Stephanie N., Hadder, Brent , Seering, Melinda , Wanta, Brendan T., Brindeiro, Carmen T., Dexter, Franklin , Loftus, Randy W. , Charnin, Jonathan E. , Seering, Melinda S , Gibbons, Stephanie, Brindeiro, Carmen T, Brown, Jeremiah R.

Mayo Clinic

A&A Practice | July 13, 2026 | Volume: 20 | Issue: 7 | Pages: e02245

10.1213/xaa.0000000000002245 | PMID 42439444 Get It

BACKGROUND: Improved cleaning in the anesthesia workspace is important for surgical site infection prevention. We sought to identify high-priority cleaning targets to guide post-induction surface disinfection and use of a triangular ultraviolet-C (UV-C) configuration involving placement of one emitter at the head and one on each side of the surgical bed. METHODS: The 20 sites most frequently touched by anesthesia practitioners, previously identified via video-based workflow analysis, were filtered to remove disposable (eg, stopcocks) and transient (eg, the patient bed) sites, leaving durable cleaning targets amenable to repeated surface disinfection and UV-C irradiation within and/or between cases. Inequality in the distribution of cleaning target touches was quantified using the Gini coefficient, and uncertainty was estimated using bootstrap resampling (10,000 iterations). We then assessed residual contamination after standard terminal cleaning across three operating rooms and 171 sites to evaluate the difficulty of cleaning high-touch surfaces and the efficacy of UV-C disinfection. Simulations using medical devices composed of materials representative of cleaning targets contaminated with high-level Clostridium difficile were conducted to evaluate generalizability to more resistant pathogens. RESULTS: There were 13 of 20 frequently touched sites that were considered durable cleaning targets. Touches were relatively equal among the 13 cleaning targets (Gini coefficient 0.16, 95% confidence interval [CI], 0.12–0.20). Cleaning targets included components of the anesthesia cart (first and second drawer handles); anesthesia machine (reservoir bag, circuit ventilator control, oxygen dial, vaporizer dial, adjustable pressure-limiting valve), monitoring equipment (screen buttons/knob, electrocardiogram leads); and room infrastructure (intravenous pole, operating room table and chair). Residual contamination after cleaning was identified at 4% (7/171) of sites, mostly (6/7) within the anesthesia workspace, involving the anesthesia cart (N = 2), machine (N = 3), and monitor (N = 1). Only one site outside of the anesthesia workspace, the circulating nurse’s mouse, had residual contamination. Triangular UV-C reduced mean (standard deviation [SD]) colony-forming units (CFU) from 60.47 (542.22) to 0.12 (1.08), achieving a 2.7-log reduction. Simulation with high-level C. difficile contamination demonstrated ≥3-log reductions on surfaces representative of high-touch sites, confirming applicability to resistant pathogens. CONCLUSIONS: Thirteen durable cleaning targets in the anesthesia workspace are largely equivalent in terms of risk of touch. They are amenable to UV-C augmentation of surface disinfection in the real-world clinical environment. These findings can guide targeted post-induction cleaning and use of triangular UV-C, particularly for surfaces with substantial contamination or resistant pathogens.