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4565 citation(s) found for "Yu, Virginia".

The Minnesota Conference proposed guidelines for education and training in clinical neuropsychology
Stringer, Anthony Y. , Fuchs, Kathleen , Edgar, Veronica Bordes , Correia, Stephen , Penna, Suzanne , Whiteside, Douglas M. , Bodin, Douglas, Butt, Sakina M. , Dodzik, Peter , Fernandes, Mary A. , Freece, Krista, Fuller, Richard, Getz, Glen E., Harder, Lana , Irani, Farzin , Janzen, Laura , Kaseda, Erin T. , Kramer, Megan , Kubu, Cynthia S. , Lafosse, Jose M., Lee-DaRocha, Jennifer, MacDonald, Beatriz , Strutt, Adriana M. , McBride, W.E., Mucci, Grace , Nayar, Kritika , Paltzer, June Yu, Ray, Courtney , Ready, Rebecca E. , Schmitt, Taylor Rose , Rush, Beth , Stanford, Lisa D., Patten, Ryan Van , Verroulx, Kris, Wilson, Jaime, Wright, Ingram , Zartman, Andrea L., Fujii, Daryl , Heffelfinger, Amy , Rey‐Casserly, Celiane , Whiteside, Douglas , Block, Cady, Calamia, Matthew , M Dotson, Vonetta , Johnstone, Brick , Kaseda, Erin , Madore, Michelle , Medina, Luis Daniel , Sperling, Scott , Stiers, William , Stricker, Nikki H , Bilder, Robert , Heffelfinger, Amy , Schmitter-Edgecombe, Maureen , Bristow, Thomas, Reyes, Anny , Block, Cady K. , Calamia, Matthew , Didehbani, Nyaz , Fuller, Richard, Harder, Lana, McBride, Will, Medina, Luis D. , Singh, Shifali M. , Sperling, Scott A. , Stricker, Nikki H. , Thornton, Allen E. , Vandermorris, Susan , Parsons, Thomas D. , Puente, Antonio E. , Roper, Brad L.

Mayo Clinic

The Clinical Neuropsychologist | July 2, 2025 | Volume: 40 | Issue: 2 | Pages: 331-375

10.1080/13854046.2025.2520957 | PMID 40604361 Get It

Practice advisory for intravenous management of headache disorders in hospitalized patients: a review of the evidence and consensus recommendations
Hoydonckx, Yasmine , Feoktistov, Alexander, Amoozegar, Farnaz , Anderson, C. , Barad, Meredith , Burke, Emeralda , Chitsantikul, Prin, Doshi, Tina L , Englesakis, Marina , Goel, Akash , Gupta, Himanshu , Kirschner, Abby, Kohan, Lynn , Lauritsen, Clinton G. , Miller, Franziska , Monsour, Danny, Nader, Antoun , Ogunlaja, Oyindamola, Silberstein, Stephen D., Souza, Dmitri , Kohan, Lynn R , Nader, Antoun , Schwenk, Eric S , Yuan, Hsiangkuo , Englesakis, Marina , Doshi, Tina L , Barad, Meredith J , Gupta, Himanshu, Kissoon, Narayan , Schuster, Nathaniel M. , Schwenk, Eric S. , Yuan, Hsiangkuo , Narouze, Samer

Mayo Clinic

Regional Anesthesia & Pain Medicine | July 2, 2025 | Volume: 51 | Issue: 2 | Pages: 117-131

10.1136/rapm-2025-106718 | PMID 40602807 Get It

Introduction Patients hospitalized for headache treatment pose unique challenges to the healthcare system. Currently, there is a lack of evidence-based guidance on management. This practice advisory aims to fill this critical gap by systematically reviewing the existing literature and providing comprehensive, evidence-based recommendations for managing headache patients during hospitalization. Methods In February 2023, the American Society of Regional Anesthesia and Pain Medicine approved this practice advisory proposal. The steering committee selected committee members based on clinical and research expertise in the field of headache medicine. Nine questions were formulated by the committee, and each question was assigned to a group composed of 3–4 members. A systematic literature search for each question was performed in Medline, Embase, Cochrane Database of Systematic Reviews and Web of Science on June 21, 2023. The results from each search were imported into separate Covidence projects for screening, data extraction, and risk of bias assessment. Additionally, relevant systematic reviews (SR) were screened. Each group submitted a structured narrative review along with statements and recommendations based on the US Preventive Services Task Force (USPSTF) format for grading of evidence. While the USPSTF framework was used, including the language in the recommendations, the formal USPSTF methodology, including the SR with meta-analysis and summary tables with forest plots, was not followed because of low overall evidence quality. The interim draft was shared electronically with each collaborator, who was requested to vote anonymously using two rounds of the modified Delphi approach. A consensus recommendation required >75% agreement. Results The panel generated 12 statements and 17 recommendations, along with their strength and certainty of evidence. Following two rounds of Delphi voting, a high consensus was achieved for all statements and recommendations. Most statements received a low-to-moderate level of certainty, and all but one recommendation received grade B or C, which was consistent with the lack of randomized controlled trials supporting most of the drugs in this document. Conclusions This evidence-based practice advisory provides a foundational step toward standardizing inpatient headache care and highlights existing gaps in the literature that should be addressed through rigorous prospective randomized studies.
Early Stages of Automated Insulin Delivery
Zisser, Howard , Hovorka, Roman , Basu, Ananda , Battelino, Tadej , Boughton, Charlotte K. , Breton, Marc D. , Buckingham, Bruce A. , Brown, Sue A. , Cherñavvsky, Daniel R. , Dassau, Eyal , Ekhlaspour, Laya , Forlenza, Gregory P. , Haidar, Ahmad , Klonoff, David C. , Kovatchev, Boris , Kowalski, Aaron J. , Kudva, Yogish C., Maahs, David M. , Phillip, Moshe , Russell, Steven J. , Steil, Garry M. , Weinzimer, Stuart A. , Doyle, Francis J , Ekhlaspour, Laya , Fabris, Chiara , Forlenza, Gregory P , Klonoff, David C , Kovatchev, Boris , Levy, Carol J , Maahs, David M , Phillip, Moshe , Renard, Eric , Russell, Steven J , Shah, Viral N , Wadwa, R Paul , Battelino, Tadej , Hovorka, Roman , Buckingham, Bruce , DeBoer, Mark Daniel , Doyle, Francis J. , Levy, Carol J. , Kudva, Yogish C. , Shah, Viral N.

Mayo Clinic

Diabetes Technology & Therapeutics | July 1, 2025 | Volume: 27 | Issue: 3_suppl | Pages: No page available

10.1089/dia.2025.18802.hz | PMID 40590745 Get It

The development of automated insulin delivery systems has seen tremendous improvements from individual components to interoperable system combinations of devices and new drugs besides insulin. The components have become progressively smaller, more accurate, and more user friendly. This article summarizes the history of the artificial pancreas from the earliest concepts to fully functional systems to research into further improvements in the future. The authors include many of the developers of this technology who received research support from the National Institute of Diabetes and Digestive and Kidney Diseases at various stages to develop these systems.
Early Stages of Automated Insulin Delivery
Zisser, Howard , Hovorka, Roman , Basu, Ananda , Battelino, Tadej , Boughton, Charlotte K. , Breton, Marc D. , Buckingham, Bruce A. , Brown, Sue A. , Cherñavvsky, Daniel R. , Dassau, Eyal , Ekhlaspour, Laya , Forlenza, Gregory P. , Haidar, Ahmad , Klonoff, David C. , Kovatchev, Boris , Kowalski, Aaron J. , Kudva, Yogish C. , Maahs, David M. , Phillip, Moshe , Russell, Steven J. , Steil, Garry M. , Weinzimer, Stuart A. , Doyle, Francis J , Ekhlaspour, Laya , Fabris, Chiara , Forlenza, Gregory P , Klonoff, David C , Kovatchev, Boris , Levy, Carol J , Maahs, David M , Phillip, Moshe , Renard, Eric , Russell, Steven J , Shah, Viral N , Wadwa, R Paul , Battelino, Tadej , Hovorka, Roman , Buckingham, Bruce , DeBoer, Mark Daniel , Doyle, Francis J. , Levy, Carol J. , Shah, Viral N.

Mayo Clinic

Journal of Diabetes Science and Technology | July 1, 2025 | Volume: 19 | Issue: 4 | Pages: 908-923

10.1177/19322968251335685 | PMID 40590463 Get It

The development of automated insulin delivery systems has seen tremendous improvements from individual components to interoperable system combinations of devices and new drugs besides insulin. The components have become progressively smaller, more accurate, and more user friendly. This article summarizes the history of the artificial pancreas from the earliest concepts to fully functional systems to research into further improvements in the future. The authors include many of the developers of this technology who received research support from the National Institute of Diabetes and Digestive and Kidney Diseases at various stages to develop these systems.
A supervised machine learning approach for predicting the need for postsurgical intervention in acromegaly
Shinya, Yuki , Hong, Sukwoo , Palit, Sandhya R. , Erickson, Dana , Sáez-Alegre, Miguel , Meyer, Fredric B. , Atkinson, John L. D., Herndon, Justine S, Pinheiro Neto, Carlos, Shinya, Yuki , Ghaith, Abdul Karim , Herndon, Justine , Bancos, Irina , Morshed, Ramin A. , Pinheiro‐Neto, Carlos , Gompel, Jamie J. Van

Mayo Clinic

Neurosurgical Focus | July 1, 2025 | Volume: 59 | Issue: 1 | Pages: E10

10.3171/2025.4.focus2597 | PMID 40591978 Get It

OBJECTIVE Patients with growth hormone (GH)–secreting pituitary adenomas (PAs) experience various symptoms and comorbidities, which can ultimately lead to increased mortality. This study aimed to develop and validate a machine learning (ML) model for predicting long-term outcomes in patients with GH-secreting PAs following endonasal transsphenoidal surgery (ETS). METHODS The authors conducted a retrospective three-institution cohort study that included patients with GH-secreting PAs treated with ETS between 2013 and 2023. Clinical, radiological, and biochemical data were collected. The main outcome of interest was the intervention-free rate (IFR) after primary ETS. Supervised ML algorithms, including decision trees and random forests, were developed to predict the IFR. Model performance was evaluated using area under the receiver operating characteristic curve (AUROC) and Shapley Additive Explanations (SHAP) values. RESULTS The median follow-up for 100 patients with GH-secreting PAs (53% female) was 64 months (range 1–130 months). Additional intervention for persistent or recurrent acromegaly was required in 32% of patients. Following primary ETS alone, the 3-year IFR was 70% and the 5-year IFR was 67%. Multiple ML models were developed and evaluated using AUROCs. The decision tree analysis achieved an accuracy of 81% and emphasized the importance of both gross-total resection (GTR) and patient age in determining the long-term IFR. To better understand the factors that contributed to model performance, SHAP analysis was applied to the best-performing model. The SHAP dependence plots showed that key factors associated with a longer IFR included tumor size < 9 mm, GTR, patient age > 65 years, and Knosp grade 0. CONCLUSIONS This ML model offers a more nuanced and potentially more accurate approach to identify patients more likely to develop recurrent or persistent acromegaly following primary ETS and require additional treatment. Following external validation, this ML model could improve personalized treatment planning and follow-up strategies and enhance patient care and resource allocation in clinical practice.
Defining cervical spondylotic myelopathy surgical endotypes using comorbidity clustering: a Quality Outcomes Database cervical spondylotic myelopathy study
Howell, Harrison, Mummaneni, Praveen V., Chou, Dean , Bydon, Mohamad , Bisson, Erica F. , Shaffrey, Christopher I., Gottfried, Oren N., Asher, Anthony L. , Coric, Domagoj , Potts, Eric A. , Foley, Kevin T. , Wang, Michael Y. , Fu, Kai-Ming, Virk, Michael S. , Knightly, John J. , Meyer, Scott A., Upadhyaya, Cheerag D., Yen, Chun-Po , Uribe, Juan S. , Tumialán, Luis M. , Turner, Jay D. , Haid, Regis W., Chan, Andrew K. , Howell, Harrison J. , Howell, Harrison , Yang, Eunice, Mummaneni, Praveen V. , Shaffrey, Christopher I. , Park, Paul , Uribe, Juan S.

Mayo Clinic

Neurosurgical Focus | July 1, 2025 | Volume: 59 | Issue: 1 | Pages: E4

10.3171/2025.4.focus25207 | PMID 40591975 Get It

OBJECTIVE Coexisting medical conditions are increasingly prevalent in surgical populations. The impact of multiple comorbidities on patient-reported outcomes (PROs) and endotypes of frequently co-occurring conditions for cervical spondylotic myelopathy (CSM) remain unclear. This study explores whether CSM patients with multimorbidity have worse baseline and postoperative PROs and less functional improvement after surgery compared to those with few or no comorbidities. The authors also investigated whether distinct comorbidity endotypes exist among CSM surgical patients and whether they influence postoperative outcomes. METHODS The prospective Quality Outcomes Database (QOD) was used to assess patients undergoing surgery for CSM. Multimorbidity was defined as ≥ 2 chronic conditions, including diabetes, coronary artery disease, peripheral vascular disease, arthritis, chronic renal disease, chronic obstructive pulmonary disease, Parkinson’s disease, multiple sclerosis, depression, and anxiety. Baseline characteristics and 24-month PROs were assessed across multiple-comorbidity status, including modified Japanese Orthopaedic Association (mJOA), Neck Disability Index (NDI), visual analog scale for neck and arm pain, EQ-5D, and patient satisfaction scores. Clusters were identified from the full cohort using k-medoids, revealing subgroups with similar comorbidity endotypes. RESULTS The final cohort included 1141 CSM patients (83.1% reaching 24-month follow-up), with 761 (66.7%) having 0 or 1 comorbidity and 380 (33.3%) ≥ 2 comorbidities. The multimorbidity cohort was older (mean age 62.6 ± 11.2 vs 59.5 ± 12.0 years, p < 0.001), more likely to be female (52.9% vs 44.7%, p = 0.011), and had a higher BMI (mean 31.1 ± 6.7 vs 29.7 ± 6.2 kg/m 2 , p < 0.001). Multimorbidity patients exhibited worse mJOA, NDI, and EQ-5D scores at baseline and 24 months (p < 0.05). On multivariable analysis, the total number of comorbidities was not significantly associated with any PRO measures. Four comorbidity clusters were identified: low burden, arthritis, diabetes, and high burden. On one-way ANOVA, the baseline mJOA score was significantly different across clusters (p = 0.003). At 24 months, the mJOA score was significantly lower in the diabetes and high-burden endotypes. Twenty-four-month score change and minimal clinically important difference (MCID) achievement of all PROs remained similar across clusters (p > 0.05). CONCLUSIONS While patients with multimorbidity have worse baseline and postoperative PROs, they achieve similar functional and pain-related improvements following CSM surgery. Similarly, the comorbidity endotypes identified in this QOD cohort suggest that certain patterns of coexisting chronic conditions, such as overlapping diabetes and arthritis, are associated with different levels of disability but may not diminish the effectiveness of surgical intervention.
COVID-19 and Cognitive Change in a Community-Based Cohort
Pike, James Russell , Sun, Yifei , Wu, Christina , Suchy‐Dicey, Astrid M. , Elkind, Mitchell S.V., Kucharska‐Newton, Anna , Levine, Deb, Lutsey, Pamela L. , Mosley, Thomas H. , Palta, Priya, Coresh, Josef, Oelsner, Elizabeth C. , Lutsey, Pamela L , Pike, James R , Oelsner, Elizabeth C , Kucharska-Newton, Anna M , Demmer, Ryan T. , Cornelius, Talea M. , Kraal, A. Zarina , Balte, Pallavi , Wu, Chaoqi, Allen, Norrina B. , Cushman, Mary , Howard, Virginia J. , Manly, Jennifer J. , Power, Melinda C. , Seshadri, Sudha , Tracy, Russell P. , Walker, Keenan A.

Mayo Clinic

JAMA Network Open | June 30, 2025 | Volume: 8 | Issue: 6 | Pages: e2518648

10.1001/jamanetworkopen.2025.18648 | PMID 40587126 Get It

Importance SARS-CoV-2 infection has been linked to neurotoxic effects and cognitive deficits. Objective To determine whether decreases in cognitive function were accelerated after SARS-CoV-2 infection compared with individuals not infected. Design, Setting, and Participants Multicenter, prospective cohort study from 2016 to 2022 among 3525 participants alive on March 1, 2020, and enrolled in The Atherosclerosis Risk in Communities (ARIC) study and the Collaborative Cohort of Cohorts for COVID-19 Research study who completed a prepandemic cognitive assessment and a pandemic-era assessment of SARS-CoV-2 infection. Final analyses performed in November 2024. Exposure SARS-CoV-2 infection determined via self-report of a positive SARS-CoV-2 test or health care professional diagnosis of COVID-19, a positive SARS-CoV-2 antinucleocapsid antibody response, or presence of an administrative code for COVID-19 on medical records. Main outcomes and measures A neuropsychological battery assessed multiple cognitive domains, and a cocalibrated confirmatory factor analysis generated factor scores for global cognitive function. The primary outcome was the rate of excess change in cognitive function. Results The 3525 eligible participants had a mean (SD) age of 80.8 (4.7) years, 2085 (59.1%) were female, 752 (21.4%) were Black, and 2773 (78.6%) were White. SARS-CoV-2 infection was detected among 307 participants (8.7%), 103 of whom (33.6%) were hospitalized. Among uninfected participants, the mean annualized change in cognitive function was −0.09 (95% CI, −0.13 to −0.04). Compared with this rate, change was faster (β = −0.06; 95% CI, −0.09 to −0.02) among participants hospitalized for infection, but not different from participants who were infected but not hospitalized (β = 0.00; 95% CI, −0.02 to 0.03). The association among participants hospitalized for infection was evident in the cognitive domains of memory and executive function, but not language. Conclusions and relevance This cohort study of older participants found accelerated decreases in cognition among individuals hospitalized for SARS-CoV-2 infection, but not nonhospitalized infection, in comparison with individuals not yet infected.
Predictors of treatment response and overall survival in patients with breast cancer brain metastases treated with stereotactic radiosurgery: a prospective study using the NeuroPoint Alliance SRS Registry
D’Ambrosio, Anthony, Cobb, William S., Grills, Inga S., McInerney, James , Jensen, Randy L. , Chang, Eric L. , Timmerman, Robert , Attia, Albert, Spalding, Aaron C., Walter, Kevin A. , Bydon, Mohamad , Asher, Anthony L. , Sheehan, Jason P. , Katsos, Konstantinos, Katsos, Konstantinos, Michalopoulos, Giorgos D. , Cobb, William S., Andrews, David William , Pouratian, Nader

Mayo Clinic

Journal of Neurosurgery | June 27, 2025 | Volume: 143 | Issue: 5 | Pages: 1419-1430

10.3171/2025.3.jns241471 | PMID 40577855 Get It

OBJECTIVE The aim of this study was to evaluate mortality and progression outcomes in patients undergoing stereotactic radiosurgery (SRS) for breast cancer brain metastases and to identify associated risk factors using a national quality registry. METHODS The NeuroPoint Alliance (NPA) SRS Registry was employed for this study, which conducted prospective enrollment of patients undergoing SRS at 16 participating centers from 2017 to 2024. Outcomes of interest included the post-SRS EQ-5D score change, overall survival, local progression, out-of-field progression, and overall intracranial progression. For all time-to-event analyses, Kaplan-Meier curves and multivariable Cox regressions with hazard ratios were used. RESULTS A total of 138 patients (127 female, mean age 59.8 years) were identified; 46.4% had a single lesion, 42.0% had 2–4 lesions, and 11.6% had ≥ 5 lesions, while 87.0% had a Karnofsky Performance Status (KPS) score between 80 and 100. The median overall survival was 17.9 months, and independent predictors of all-cause mortality included a KPS score ≤ 90 (HR 6.73) and diabetes mellitus (HR 3.35). The median time to local progression was 19.8 months. More than 5 lesions at baseline (HR 9.03) and a marginal dose ≤ 17.6 Gy (HR 8.00) were predictive of local recurrence. The median was not reached for out-of-field progression, and predictors included ≥ 2 lesions at the time of SRS (HR 3.20) and a marginal dose ≤ 17.6 Gy (HR 4.61). At the final follow-up assessment, 17.1% of patients experienced no change according to the EQ-5D, while 34.3% had improvement, 11.4% had mixed results, and 37.1% had worsened health. In the multivariable linear regression model, pre-SRS resection (r = 1.92) and baseline EQ-5D score (r = 1.29) were statistically significant predictors of quality of life at the final follow-up assessment. CONCLUSIONS Using real-world data from the NPA SRS Registry, this study demonstrated comparable outcomes in patients who underwent SRS for breast cancer brain metastases compared with those of previous literature. The number of lesions at the time of SRS and the marginal dose were independent risk factors for local recurrence, out-of-field progression, and overall intracranial progression. Pre-SRS resection and baseline EQ-5D score were independent predictors of quality of life following SRS.
Stereoelectroencephalography‐guided radiofrequency thermocoagulation for drug‐resistant epilepsy: A meta‐analysis
Pichardo‐Rojas, Pavel S. , Pichardo-Rojas, Diego , Zarate‐Duran, Carlos A., Hjeala‐Varas, Amir, Sanchez‐Velez, Roberto, Barrón‐Lomelí, Aldo , Chavez, Mark, Herrera, Ernesto A. Gutierrez, Torres‐Madrid, Oswaldo, Negida, Ahmed , Milanese, Vanessa, Negida, Ahmed , Chavez, Mario Cesar Torres, Herrera, Ernesto A. Gutierrez, Raslan, Ahmed M

Mayo Clinic

Epilepsia | June 26, 2025 | Volume: 66 | Issue: 10 | Pages: 3602-3620

10.1111/epi.18524 | PMID 40569267 Get It

Abstract Objective In patients with focal drug‐resistant epilepsy (DRE), resective epilepsy surgery correlates with high rates of remission. However, in cases where the epileptic region is deemed surgically inaccessible, or when it involves a complex network, stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) might be an alternative therapeutic strategy. However, most of the available evidence is limited to small observational studies. An updated meta‐analysis is warranted to provide a comprehensive assessment of SEEG‐RFTC in patients with DRE. Methods Databases were searched until September 9, 2023 to identify published studies reporting on the effectiveness of SEEG‐RFTC in patients with DRE. The primary outcomes of interest were the 1‐year seizure‐freedom rate and response rate (50% seizure frequency decrease from baseline). These outcomes were pooled using the inverse variance and a random‐effects model. Results We screened 182 articles and included 16 retrospective cohort studies. A total of 437 unique patients from 12 nonoverlapping cohorts were analyzed for seizure and complication outcomes. The pooled seizure‐free rate after 1 year was 37.8% (95% confidence interval [CI] = 24.7%–50.8%), whereas the seizure response rate after 1 year was 69.7% (95% CI = 52.7%–86.7%). There was high heterogeneity among the included studies. Subgroup analysis revealed that patients with nodular heterotopia achieved higher rates of seizure freedom (57.1%, 95% CI = 38.8%–75.5%) compared to those with cortical dysplasia (CD) and magnetic resonance imaging‐negative conditions. Furthermore, hippocampal sclerosis patients exhibited higher seizure freedom rates (66.7%, 95% CI = 49.8%–83.5%) than those with CD (12.0%, 95% CI = .0%–24.7%). Significance SEEG‐RFTC might be an effective therapeutic option for seizure control in patients with DRE who undergo SEEG for DRE workup. The role of SEEG‐RFTC as a potential adjunct therapy to laser interstitial thermal therapy or surgical resection should be explored. This study highlights the need for well‐designed clinical trials to compare SEEG‐guided RFTC with other therapeutic modalities.