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597 citation(s) found for "Saá, Paula".

Optimizing Plasma p-tau217 Thresholds for Detection of Preclinical Alzheimer’s Disease Across Different Racial and Ethnic Backgrounds (P10-13.011)
Piura, Yoav, Lachner, Christian, Algeciras-Schimnich, Alicia, Figdore, Daniel, Petersen, Ronald, Jack, Clifford, Aduen, Paula, Schecter, Leah, Graff-Radford, Neill, Day, Gregory, Piura, Yoav , Lachner, Christian , Algeciras‐Schimnich, Alicia , Figdore, Daniel J. , Bornhorst, Joshua , Petersen, Ronald, Jack, Clifford, Aduen, Paula, Graff‐Radford, Neill R.

Neurology | June 10, 2026 | Volume: 106 | Issue: 11_Supplement_1 | Pages: No page available

10.1212/wnl.0000000000215003 Get It

APOE3-Christchurch variant enhances neurovascular support functions of iPSC-derived mesenchymal stromal cells
Martinez, Paula J. Rodriguez, Yslas, Aria R., Inoue, Yasuteru , Parsons, Tammee M., Baker, Samantha K., Lü, Wenyan, Raulin, Ana‐Caroline , Kanekiyo, Takahisa , Rodriguez Martinez, Paula J, Raulin, Ana-Caroline , Yslas, Aria R.

Frontiers in Molecular Biosciences | June 1, 2026 | Volume: 13 | Issue: No issue available | Pages: No page available

10.3389/fmolb.2026.1778856 | PMID 42306774 Get It

Aging and neurodegenerative disorders like Alzheimer’s Disease (AD) are associated with progressive dysfunction of the blood-brain barrier (BBB) and neurovascular unit (NVU), contributing to impaired vascular integrity and neuronal vulnerability. Apolipoprotein E (APOE) is a key regulator of neurovascular function, and the rare APOE3-R136S “Christchurch” variant ( APOE3Ch ) confers protection against AD. Mesenchymal stromal cells (MSCs) represent a promising cell-based therapy for the treatment of neurodegenerative diseases due to their paracrine effect exerted on vascular and neural cells. To investigate how APOE3Ch influences MSC-mediated neurovascular support, we used isogenic iPSC-derived MSCs (iMSCs) with homozygous APOE3Ch or APOE3 . We found that APOE3Ch iMSCs have stronger immunosuppressive effect on LPS-induced NFκB activation of THP1 cells. APOE3Ch iMSCs also enhanced endothelial barrier resistance and angiogenic capacity compared to APOE3 iMSCs when directly co-cultured with endothelial cells. In addition, conditioned medium from APOE3Ch iMSCs promoted neurite outgrowth more efficiently than that from APOE3 iMSCs. Metabolic profiling revealed differences between APOE3Ch and APOE3 iMSCs, suggesting altered metabolic resilience. Together, these findings demonstrate that iMSCs support vascular and neuronal function through paracrine mechanisms and suggest that APOE3Ch variant improves specific aspects of MSC-mediated neurovascular support. This work highlights the potential of combining MSC-based therapies with protective APOE variants to target BBB and NVU dysfunction in aging and neurodegeneration.
Influence of peri-dose high-sensitivity troponin on clinically significant cardiac events and IL-2 interruption during post-TIL high-dose IL-2 therapy.
Zarka, Jabra, Aboelatta, Mohamed A. , Kavousi, Shahin , Tchatchua, Nika , Kottschade, Lisa A. , Montane, Heather N. , Behl, Deepti , Dimou, Anastasios, Block, Matthew S. , Markovic, Svetomir, Baral, Binav, Wilson-Miller, Justine, Molina, Julian R. , Gill, Paula, Heath, Elisabeth I. , Lin, Yi, Zarka, Jabra , Tchatchua, Nika , Zarka, Jabra G , Johnson, Jeffrey A. , Dimou, Anastasios , Wilson-Miller, Justine L., Charnin, Jonathan E. , Moraes, Alice Gallo de , Dudek, Arkadiusz Z.

Journal of Clinical Oncology | May 28, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 9557-9557

10.1200/jco.2026.44.16_suppl.9557 Get It

9557 Background: High-dose interleukin-2 (IL-2) is administered following tumor-infiltrating lymphocyte (TIL) therapy, yet cardiotoxicity frequently limits dose delivery. The clinical significance of peri-dose troponin elevations during IL-2 remains poorly defined. We evaluated troponin kinetics during IL-2 dosing and their association with significant cardiac events and IL-2 interruption. Methods: We retrospectively analyzed patients with metastatic melanoma treated with TIL therapy followed by inpatient high-dose IL-2 at Mayo Clinic Rochester (N = 24; 87 IL-2 doses). High-sensitivity troponin and ECGs were obtained before and after each IL-2 dose. Clinically significant cardiac events were defined as QTc prolongation > 480 ms, arrhythmias (excluding isolated sinus tachycardia), new ECG abnormalities, vasopressor requirement, or cardiology consultation. Dose-level outcomes included cardiac events and subsequent IL-2 dose interruption. Paired troponin changes were assessed using Wilcoxon signed-rank testing. Dose-level associations were evaluated using clustered logistic regression to account for repeated IL-2 doses within patients. Results: 24 patients received 87 IL-2 doses (median 3 [IQR 2 - 5]). Median age was 63 years (IQR 54 - 70), and 58% were male. Baseline troponin median was 11 ng/L (IQR 6 - 21); 38% had baseline troponin > 14 ng/L. Post-dose troponin exceeded 14 ng/L in 16/24 patients (67%) and 48/87 doses (52%). Median delta troponin was 0 ng/L (IQR −1 to 6; range −24 to 133), with post-dose levels higher than pre-dose values ( p = 0.02). Clinically significant cardiac events occurred in 33% of patients; no post-IL-2 reductions in left ventricular ejection fraction were observed. At the dose level, cardiac events occurred only when post-dose troponin exceeded 14 ng/L (15/48 [31%] vs 0/39 doses; p < 0.001). In clustered logistic regression, post-dose troponin ≥15 ng/L was independently associated with cardiac events (OR 9.6, 95% CI 1.5 - 60.6; p = 0.02) and subsequent IL-2 dose interruption (OR 3.4, 95% CI 1.1 - 10.7; p = 0.04). When modeled continuously, each 1-unit increase in log-transformed post-dose troponin was associated with higher odds of cardiac events (OR 3.3, 95% CI 1.6 - 6.7; p = 0.001) and IL-2 interruption (OR 2.8, 95% CI 1.6 - 4.9; p < 0.001). Baseline troponin correlated with peak post-dose troponin (ρ = 0.44, p = 0.04). Conclusions: Peri-dose troponin elevations are common during post-TIL high-dose IL-2; however, higher post-dose troponin independently identifies clinically significant cardiac toxicity and predicts IL-2 interruption after accounting for repeated dosing within patients. Baseline troponin modestly predicts peak elevations, supporting standardized, risk-stratified troponin monitoring and prospective evaluation of toxicity-adaptive IL-2 delivery strategies in TIL therapy.
Neoadjuvant DAN-222 plus niraparib in high-risk HER2-negative breast cancer: Results from the I-SPY 2 adaptive platform trial.
Isaacs, C, Howard-Mcnatt, Marissa, Yau, C, Chien, Jo, Wallace, Anne M., Han, Hyo S., Yee, D, Omene, Coral, Nanda, Rita, Chapple, Andrew, Perlmutter, J, Pohlmann, Paula R., Borowsky, Alexander D., Symmans, W. Fraser, Veer, Laura van't, Esserman, L J, Pohlmann, Paula R. , Pohlmann, Paula , Yeung, Kay T. , Isaacs, Claudine , Howard-McNatt, Marissa Michelle , Yau, Christina , Boughey, Judy C. , Han, Hyo S , Borges, Virginia F. , Falkson, Carla I. , Yee, Douglas , Omene, Coral , Nanda, Rita , Symmans, W. Fraser

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 625-625

10.1200/jco.2026.44.16_suppl.625 Get It

625 Background: I-SPY 2 is a multicenter phase II adaptive platform trial evaluating novel agents for stage II-III high-risk breast cancer using response-predictive subtypes (RPS) and a sequential neoadjuvant treatment design of up to three blocks (A/B/C). Investigational regimens are given in Block A, followed by response-guided escalation to standard-of-care (SOC) therapy (tx) in subsequent blocks or early surgery for responders. Topoisomerase I (TOPO1) inhibition plus PARP inhibition may enhance DNA damage and tumor response. DAN-222 is a tumor-targeted polymeric camptothecin conjugate designed to improve the therapeutic index of TOPO1 inhibition. Based on favorable phase 1 safety and preliminary activity in metastatic breast cancer, DAN-222 plus niraparib was evaluated as Block A tx in HER2− disease. Notably, the neoadjuvant regimen used a higher dose of niraparib (200 mg daily) than the prior phase 1 metastatic study. Methods: Patients (pts) with HER2− breast cancer were randomized to DAN-222 plus niraparib for up to 12 weeks in Block A. Response was assessed by serial MRI and biopsy. Inadequate responders escalated early to SOC tx in Blocks B/C. Primary endpoint was pathologic complete response (pCR). Secondary endpoints included residual cancer burden, safety, early discontinuation, and treatment-strategy performance versus subtype-specific SOC tx controls. Given established PARPi sensitivity in BRCA mut disease, the key objective was to assess clinically meaningful activity of DAN-222 plus niraparib in BRCA wt pts. Accordingly, a prespecified Bayesian interim futility analysis focused on BRCA wt and tested the probability of the true pCR rate after Block A alone exceeded 15% after 50 pts. Results: Fifty pts enrolled from Sep to Dec 2024. In BRCA wt (n=47), estimated Block A pCR was 3%, with posterior probability of 0.02 that that true pCR exceeded 15%, meeting futility criteria and prompting arm closure. Across all blocks, pCR rate was 57% (8/14) for HR-HER2−; 11% (4/36) for HR+ HER2−, largely after SOC tx. 2/3 BRCA mut pts achieved pCR. Treatment strategies initiating with DAN-222 plus niraparib underperformed subtype-specific controls. 68% discontinued Block A early, mainly due to toxicity. Grade ≥3 cytopenias were common: neutropenia (n=25; 50%), anemia (24%), and thrombocytopenia (18%). Cystitis occurred in 36% (1 grade ≥3). Conclusions: Neoadjuvant DAN-222 plus niraparib showed insufficient activity and no treatment-strategy benefit in BRCA wt HER2− breast cancer, underscoring challenges for TOPO1–PARP inhibitor combinations. Although not supported for further development in this setting, these results highlight the strength of I-SPY 2 in rapidly enrolling patients and quickly distinguishing ineffective from promising therapeutic strategies to accelerate progress toward improved outcomes for patients with curable breast cancer. Clinical trial information: NCT01042379 .
Virtual AI-informed immunocyte profiling (VAIP) from H&E as a predictor of multi-cancer prognosis.
Jana, Mayukhmala , Aggarwal, Arpit, Shanbhogue, Nikhil, Pathak, Tilak, Toro, Paula , Lewis, James S., Wasman, Jay, Teknos, Theodoros N., Pan, Quintin, Shi, Qiuying , Schmitt, Nicole Cherie, Saba, Nabil F., Oršulić, Sandra , Bazzaro, Martina , Corredor, Germán, Madabhushi, Anant, Aggarwal, Arpit , Badve, Sunil , Thorat, Mangesh A. , Lewis, James S. , Pan, Quintin , Schmitt, Nicole C. , Steward-Tharp, Scott Michael , Saba, Nabil F. , Corredor, Germán

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 3118-3118

10.1200/jco.2026.44.16_suppl.3118 Get It

3118 Background: Improved risk stratification is critically needed across multiple cancers to guide treatment decisions. This includes reducing overtreatment in Ductal Carcinoma in Situ (DCIS), addressing late recurrence risk in estrogen receptor-positive/lymph node-negative (ER+/LN-) breast cancer (BC), and refining prognosis in head & neck squamous cell carcinomas (HNSCC), and high-grade serous ovarian carcinoma (HGSOC). Tumor-infiltrating lymphocytes (TILs) reflect anti-tumor immunity, whereas tumor-associated macrophages (TAMs) polarize toward anti-tumor M1-like (CD68+) or immunosuppressive M2-like (CD163+) phenotypes. Integrating TILs with TAM polarization markers may better capture inflammatory balance and improve outcome prediction. We developed a hematoxylin and eosin (H&E)-only AI method (VAIP) to quantify TILs and virtual CD68/CD163 TAMs to develop multi-cancer based potential prognostic models. Methods: TILs were detected on H&E with HoVer-UNet, and virtual CD68 and CD163 macrophages were inferred with VISTA. In cancer regions, we computed cell densities and immune-balance ratios and trained cancer-specific Cox models with compact feature sets (DCIS 6; HGSOC 7; ER+ 4; HNSCC 4). Prognostic stratification used disease-free survival (DFS) for DCIS (N=273), HGSOC (training N=165, independent test N=220), and ER+ BC (training N=144, test N=622), and overall survival (OS) for HNSCC (N=77), reflecting clinical endpoints. Evaluation used cross-validation for cohorts without an external test set (DCIS, HNSCC) and independent training and testing when independent cohort was available (HGSOC, ER+). Results: Risk stratification performance across cancer types is in Table 1. The DCIS model used 6 features, largely TIL-macrophage contrast ratios (TIL/M2, TIL/M1). HGSOC used 7 features with a similar ratio-heavy immune-balance signature, plus macrophage-normalized density and polarization metrics (e.g., M1/N, M/N). In contrast, ER+ BC and HNSCC achieved best performance with 4 features dominated by macrophage measures, particularly M2 density and the M1/M2 ratio. Across sites, CD163-related macrophage metrics and immune-balance ratios were consistently informative. Conclusions: Integrating H&E-visible TILs with virtual CD68/CD163 TAMs enables fully automated, H&E-only prognostic biomarkers that stratify OS and DFS across multiple cancers, demonstrating consistent prognostic value in DCIS, ER+ BC, HGSOC, and HNSCC. These findings support further study of this histomorphometric risk classifier through broader external and prospective validation. Performance across cancer types. Cancer Type Cohort C-index HR [95% CI] p-value DCIS All 0.616 1.76 [1.20-2.59] <0.001 DCIS RT/No-treatment 0.624 1.94 [1.15-3.26] 0.003 HGSOC Test 0.553 1.38 [1.02-1.87] 0.030 ER+ BC Test 0.577 1.51 [1.00-2.28] 0.004 HNSCC All 0.603 1.92 [1.03-3.36] 0.012
Functional Outcomes in Bipolar Disorder: Cross-Cohort Analyses from the Global Bipolar Cohort
Yocum, *Anastasia K., Fullerton, *Janice M., Ashton, Melanie M., Overs, Browyn J., Diaz‐Byrd, Claudia , Albarracín-García, Lucía , Alda, Martin, Alexander, Nina , Altimus, Cara M. , Altınbaş, Kürşat, Andreassen, Ole A., Aubin, V. , Baca-García, Enrique, Baune, Bernhard T., Belzeaux, Raoul , Benavente-López, Sergio, Bengesser, Susanne A., Berk, Michael, Biernacka, Joanna, Blumberg, Hilary P., Burdick, Katherine E., Carpiniello, Bernardo, Chang, Chiao-Erh , Chen, Wen Yin, Clark, Scott R., Cleare, Anthony J., Contu, Martina , Dafnas, Konstantinos , Dannlowski, Udo, Dikeos, Dimitris, Dodd, Seetal, Dols, Annemieke, Dubertret, C, Etain, Bruno, Eyler, Lisa T., Fatjó‐Vilas, Mar , Ferentinos, Panagiotis, Ferguson, B. , Fernández, Ana L., Flinkenflügel, Kira, Forester, Brent P. , Fries, Gabriel R., Frye, Mark A., Fuentes-Claramonte, Paola, Gard, Sébastien, Gergel, Tania, Godin, O, Green, MJ, Haffen, E, Hahn, Tim, Havard, Alys, Jamalabadi, Hamidreza, Jansen, Andreas, Jones, I, Jones, Lisa A., Kelsoe, John R., Kircher, Tilo, Klaus, Federica, Kulkarni, Jayashri , Kupka, Ralph W., Leboyer, M, Lenger, Melanie , McElroy, Susan L., Machado-Vieira, Rodrigo, Manchia, Mirko, Martin, Nicolas G., Mata-Iturralde, Laura, Meinert, Susanne, Mitchell, Philip B., Mitra, Romita, Mohebbi, Mohammadreza , Mwangi, Benson, Nenadić, Igor, Nierenberg, Andrew A., Nunes, Abraham, Olié, E, O'Donovan, Clair, Orhan, Melis M., Passerieux, Christine, Perich, Tania, Peters, Amy T. , Petite, Joanne, Pham, Dániel , Pinna, M A, Platzer, Martina, Polosan, Mircea , Pomarol-Clotet, Edith, Porta-Casteràs, Daniel, Potter, Julia R., Quidé, Yann, Regeer, Eline J. , Rheenen, Tamsyn E. Van, Roberts, Gloria, Rodríguez-Cano, Elena, Rossell, Susan L., Sajatovic, Martha, Salvador, Raymond, Samalin, Ludovic, Sánchez-Alonso, Sergio, Sarró, Salvador , Schubert, Klaus O., Schwan, R, Scott, Katie , Shanahan, Megan, Soares, Jair C., Solé, Brisa, Stein, Dan J., Stein, Frederike, Strakowski, Stephen M., Straube, Benjamin, Strawbridge, Rebecca, Sullivan, Patrick F., Teutenberg, Lea, Thiel, Katharina , Thomas-Odenthal, Florian, Toma, Claudio, Usemann, Paula L., Vieta, Eduard, Vilella, Elisabet, Viswanath, Biju, Williams, Lana J., Wu, Mon-Ju, Yatham, Lakshmi N., Young, Allan H., McInnis, Melvin G., Almeida, Jorge, Bora, Emre, Cannon, Dara M., Chang, Yun-Hsuan, Chaumette, Boris, Chen, Jun, Ching, Christopher, Escamilla, Michael , Forstner, Andreas J., Goghari, Vina M. , He, Qin, Huang, Hailiang, Juruena, Mario F.; id_orcid 0000-0001-8558-3396, Kasyanov, Evgeny D., Koenig, B., Kovács, Zoltán , Kulkarni, Alok, Lee, Heon-Jeong, Lee, Jimmy, Liao, Duanping , LICHT, RASMUS W., Melle, Ingrid, Nicolini, Humberto, Okawa-Belizario, Gabriel, Prieto, Miguel L. , Raventós, Henriette , Ardestani, Seyed M. Samimi, Saunders, Erika F., Savitz, Jonathan, Schulze, Thomas G., Serretti, Alessandro, Simhandl, Christian , Straszek, Sune, SOUSA, RAFAEL TEIXEIRA DE , Thompson, Paul M., Tondo, Leonardo, Tourjman, S. Valérie, Zandi, Peter, Quidé, Yann , Overs, Bronwyn J. , Quidé, Yann , Sarró, Salvador , Yocum, Anastasia K. , Fullerton, Janice M. , Ashton, Melanie M. , Alda, Martin , Alonso-Lana, Sílvia , Altınbaş, Kürşat , Andreassen, Ole A , Antoniou, Anastasia , Baca‐García, Enrique , Baune, Bernhard T., López, Sergio Benavente , Berk, Michael , Beunders, Alexandra J.M. , Blumberg, Hilary P. , Brosch, Katharina , Burdick, Katherine E. , Callahan, Tiffany J , Cano, Marta , Cardoner, Narcı́s , Carpiniello, Bernardo , Chen, I‐Ming , Clark, Scott , Cleare, Anthony J. , Dalkner, Nina , Dannlowski, Udo , Dikeos, Dimitris, Dodd, Seetal , Dols, Annemiek , Dubertret, Caroline , Étain, Bruno , Eyler, Lisa T. , Fellendorf, Frederike T. , Flinkenflügel, Kira , Di Florio, Arianna , Fries, Gabriel R. , Frye, Mark A. , Fuentes‐Claramonte, Paola , Gergel, Tania , Godin, Ophélia , Gordon‐Smith, Katherine , Haffen, Emmanuel , Hahn, Tim , Hartmann, Simon , Havard, Alys , Hickie, Ian Bernard , Jamalabadi, Hamidreza , Jansen, Andreas , Kelsoe, John R , Kircher, Tilo , Klaus, Federica , Kuo, Po‐Hsiu , Kupka, Ralph , Lagerberg, Trine Vik , Leboyer, Marion , Lind, Penelope A. , McElroy, Susan L. , Machado‐Vieira, Rodrigo , Manchia, Mirko , Martínez‐Arán, Anabel , Medland, Sarah E. , Meinert, Susanne L. , Miklowitz, David J. , Millett, Caitlin E. , Mitchell, Philip B , Muntané, Gerard , Mwangi, Benson , Nenadić, Igor , Nierenberg, Andrew A. , Nurnberger, John I , Olié, Émilie , Orhan, Melis , Paribello, Pasquale , Passerieux, Christine , Perich, Tania , Pisanu, Claudia , Pomarol‐Clotet, Edith , Casteràs, Daniel Porta , Potter, Julia R, Reininghaus, Eva , Van Rheenen, Tamsyn , Ringin, Elysha , Ritter, Philipp , Roberts, Gloria, Rodríguez‐Cano, Elena , Rossell, Susan Lee , Sajatovic, Martha , Samalin, Ludovic , Scaini, Giselli , Schofield, Peter R. , Schouws, Sigfried N. T. M. , Schubert, Klaus Oliver , Schwan, Raymund , Shanahan, Megan, Siskind, Dan , Soares, Jair C. , Squassina, Alessio , Stein, Dan J. , Stein, Frederike , Strakowski, Stephen M. , Straube, Benjamin , Strawbridge, Rebecca , Stuart, Amanda L. , Teutenberg, Lea , Thomas‐Odenthal, Florian , Toma, Claudio , Torres, Ivan J. , Tsapekos, Dimosthenis , Ueland, Torill , Usemann, Paula L , Vieta, Eduard , Vilella, Elisabet , Viswanath, Biju , Winter, Alexandra , Wootton, Olivia , Wrobel, Anna L , Yatham, Lakshmi N. , Young, Allan H. , McInnis, Melvin G. , Bora, Emre , Cannon, Dara M. , Chaumette, Boris , Forstner, Andreas J. , Grigoroiu‐Serbânescu, Maria , He, Qin , Juruena, Mário F. , Kasyanov, Evgeny Dmitrievich , Koenig, Barbara, Lafer, Beny , Vernal, Ditte Lammers , Lee, Heon‐Jeong , McMahon, Francis J. , McQuillin, Andrew , Melle, Ingrid , Najand, Babak , Nicolini, Humberto , Belizário, Gabriel Okawa , Redlich, Ronny , Ardestani, Seyed Mehdi Samimi , Saunders, Erika F.H. , Savitz, Jonathan B. , Schulze, Thomas , Serretti, Alessandro , Σκώκου, Μαρία , Straszek, Sune Puggaard Vogt , Sousa, Rafael Teixeira de, Thompson, Paul M. , Tondo, Leonardo , Xiong, Ashley

No container title available | May 11, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-9390347/v1 Get It

Abstract Background The Global Bipolar Cohort (GBC) was established to identify existing bipolar disorder (BD) cohorts worldwide and foster collaborations focused on descriptive and analytic outcomes relevant to BD. A distributed analytic framework has been implemented to engage multiple sites without the need for central data pooling. This report describes the GBC endeavor and global functional impairment patterns. Cross-cohort comparisons of functional correlates are limited by heterogeneous measures and data-sharing constraints. Large, culturally diverse comparisons are needed to distinguish broadly reproducible correlates from cohort-specific effects. Participating sites completed a 28-item descriptive survey covering diagnostic methods, cognition, genetics, treatment, functioning, and follow-up strategies. We implemented a harmonized local logistic regression model of dichotomized functional outcome and shared summary statistics only. Results We identified 69 cohorts across five continents. Thirty-seven cohorts contributed functional outcome analyses from 17,130 participants. Outcome measures included clinician-rated disability scales and social indicators such as employment and marital status. The proportion classified with poor functioning ranged from 16% to 77% (mean 50%). In 32 of 37 cohorts, the overall regression model significantly explained variance in functioning. Current depressive symptoms were the most robust and reproducible correlate of poor functional outcome: they were assessed in 29 cohorts, significant in 22 (75.8%), ranked among the top three correlates in 22, and were the top-ranked correlates in 19. Associations between depressive burden and poor functioning were observed across clinician-rated disability scales and work or social indicators, and across geographically diverse cohorts. Comorbid substance use disorder and medication-related variables were associated with poorer functioning in subsets of cohorts, whereas sex, ancestry, bipolar subtype, psychosis history, and premorbid IQ showed weak or inconsistent associations. Cognitive measures, available in a minority of regression models, showed modest and non-uniform effects. Conclusions Across heterogeneous international cohorts, current depressive symptom burden emerged as the most consistent correlate of poor functioning in bipolar disorder. These findings replicate earlier multisite work at a larger scale, show that protocol-based distributed analyses can identify reproducible clinical signals without sharing individual-level data, and support prioritizing detection and treatment of depressive symptoms when aiming to improve real-world functioning. Future work should expand longitudinal harmonization and representation of under-studied populations.
Reliability of remote self‐administered Web‐based digital cognitive measures and comparison to in‐person neuropsychological tests: Stricker Learning Span, Symbols Test, and the Mayo Test Drive Screening Battery Composite
Hughes, Morgan A., Frank, Ryan D. , Taylor, Rita L. , Fan, Winnie Z. , Christianson, Teresa J., Kremers, Walter K. , Stricker, John L. , Lucas, John A. , Aduen, Paula, Graff‐Radford, Neill R., Graff-Radford, Jonathan, Petersen, Ronald C., Aduen, Paula A., Kremers, Walter K , Hughes, Morgan A., Machulda, Mary M. , Hassenstab, Jason , Mielke, Michelle M. , Day, Gregory S. , Graff‐Radford, Neill R. , Jack, Clifford R. , Graff‐Radford, Jonathan , Petersen, Ronald C. , Stricker, Nikki H.

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | May 11, 2026 | Volume: 18 | Issue: 2 | Pages: No page available

10.1002/dad2.70338 | PMID 42125541 Get It

Abstract INTRODUCTION We describe the reliability of remote self‐administered digital cognitive measures completed via the Mayo Test Drive (MTD) web‐based platform. METHODS A total of 1846 participants (mean age = 70, SD = 12, range 31–101; 48% male; 96% White; 99% non‐Hispanic; 97% cognitively unimpaired) with two to four complete MTD sessions at ∼7.5‐month intervals were included. Test‐retest reliability was assessed using single‐rating, absolute‐agreement, and two‐way mixed intraclass correlation coefficients (ICCs) with 95% confidence intervals. ICCs for in‐person‐administered traditional neuropsychological measures were compared to MTD for a subset of 244 participants. Analyses also compared reliability across demographic, residential, and session context subgroups. RESULTS Reliability was good for the MTD Composite (total ICC = 0.79 [0.77, 0.80]), and moderate‐to‐good for the primary outcome variables for each MTD subtest (total ICCs 0.70–0.83 for Stricker Learning Span and Symbols). The reliability of the remote self‐administered MTD was similar to in‐person‐administered cognitive measures. DISCUSSION MTD showed moderate‐to‐good reliability, supporting its use in longitudinal monitoring.