Citations

Clear

2966 citation(s) found for "Go, Ronald S".

Revised response criteria for polycythemia vera and essential thrombocythemia: an ELN and IWG-MRT consensus project
Harrison, Claire , Kiladjian, Jean‐Jacques , Lengfelder, Eva , Passamonti, Francesco , Besses, Carlos , Gisslinger, Heinz , Samuelsson, Jan , Verstovšek, Srđan , Pardanani, Animesh , Cervantes, Francisco , Tefferi, Ayalew , Barbui, Tiziano , Barosi, Giovanni , Mesa, Ruben A. , Finazzi, Guido , McMullin, Mary Frances , Vannucchi, Alessandro M. , Hoffman, Ronald , Verstovsek, Srdan , Kiladjian, Jean-Jacques , Passamonti, Francesco

Mayo Clinic

Blood | April 16, 2013 | Volume: 121 | Issue: 23 | Pages: 4778-4781

10.1182/blood-2013-01-478891 | PMID 23591792 Get It

Key Points Evidence exists that ELN criteria for response in ET and PV issued in 2009 do not provide relevant measures of benefit for patients. Revised recommendations for assessing response are provided.
Thrombocytopenia after Iron Dextran Administration in a Patient with Severe Iron Deficiency Anemia
Porrata, Luis F. , Call, Timothy G. , Go, Ronald S.

Mayo Clinic

Annals of Internal Medicine | April 12, 2013 | Volume: 132 | Issue: 11 | Pages: 925

10.7326/0003-4819-132-11-200006060-00025 | PMID 10836930 Get It

Pacemaker Malfunction
HAYES, DAVID L., Vlietstra, Ronald E., Vlietstra, Ronald E.

Mayo Clinic

Annals of Internal Medicine | April 12, 2013 | Volume: 119 | Issue: 8 | Pages: 828-835

10.7326/0003-4819-119-8-199310150-00009 | PMID 8379604 Get It

Thyroxine Therapy in Hypothyroid Patients Undergoing Coronary Revascularization: A Retrospective Analysis
Duick, Daniel S., Vlietstra, Ronald E., Maloney, James D., Pluth, James R., Hay, Ian

Mayo Clinic

Annals of Internal Medicine | April 12, 2013 | Volume: 95 | Issue: 4 | Pages: 456-457

10.7326/0003-4819-95-4-456 | PMID 7283298 Get It

Association of diabetes with amnestic and nonamnestic mild cognitive impairment
Roberts, Rosebud O., Geda, Yonas E. , Cha, Ruth H., Baertlein, Luke , Tangalos, Eric G., Ivnik, Robert J., Mielke, Michelle M. , Petersen, Ronald C. , Knopman, David S. , Cha, Ruth H., Pankratz, V. Shane , Boeve, Bradley F. , Mielke, Michelle M , Geda, Yonas E

Mayo Clinic

Alzheimer's & Dementia | April 4, 2013 | Volume: 10 | Issue: 1 | Pages: 18-26

10.1016/j.jalz.2013.01.001 | PMID 23562428 Get It

AbstractBackgroundType 2 diabetes may increase the risk of amnestic mild cognitive impairment (aMCI) through Alzheimer's disease (AD)‐related and vascular pathology and may also increase the risk of nonamnestic MCI (naMCI) through vascular disease mechanisms. We examined the association of type 2 diabetes with mild cognitive impairment (MCI) and MCI subtype (aMCI and naMCI) overall and by sex.MethodsParticipants were Olmsted County, Minnesota residents (70 years and older) enrolled in a prospective, population‐based study. At baseline and every 15 months thereafter, participants were evaluated using the Clinical Dementia Rating scale, a neurological evaluation, and neuropsychological testing for a diagnosis of normal cognition, MCI, and dementia by a consensus panel. Type 2 diabetes was ascertained from the medical records of participants at baseline.ResultsOver a median 4.0 years of follow‐up, 348 of 1450 subjects developed MCI. Type 2 diabetes was associated (hazard ratio [95% confidence interval]) with MCI (1.39 [1.08–1.79]), aMCI (1.58 [1.17–2.15]; multiple domain: 1.58 [1.01–2.47]; single domain: 1.49 [1.09–2.05]), and the hazard ratio for naMCI was elevated (1.37 [0.84–2.24]). Diabetes was strongly associated with multiple‐domain aMCI in men (2.42 [1.31–4.48]) and an elevated risk of multiple domain naMCI in men (2.11 [0.70–6.33]), and with single domain naMCI in women (2.32 [1.04–5.20]).ConclusionsDiabetes was associated with an increased risk of MCI in elderly persons. The association of diabetes with MCI may vary with subtype, number of domains, and sex. Prevention and control of diabetes may reduce the risk of MCI and Alzheimer's disease.
Association of plasma and cortical amyloid beta is modulated by APOE ε4 status
Swaminathan, Shanker , Yoder, Karmen K. , West, John D. , Shen, Li , Kim, Sungeun , Inlow, Mark , Jagust, William, Mathis, Chester A. , Shaw, Leslie M. , Trojanowski, John Q. , Soares, Holly , Aisen, Paul, Petersen, Ronald C. , Weiner, Michael W. , Saykin, Andrew J. , Initiative, Alzheimer's Disease Neuroimaging, Risacher, Shannon L. , Foroud, Tatiana , Koeppe, Robert A. , Initiative, Alzheimer's Disease Neuroimaging, Saykin, Andrew J , Shen, Li

Mayo Clinic

Alzheimer's & Dementia | March 26, 2013 | Volume: 10 | Issue: 1 | Pages: No page available

10.1016/j.jalz.2013.01.007 | PMID 23541187 Get It

AbstractBackgroundApolipoprotein E (APOE) ε4 allele's role as a modulator of the relationship between soluble plasma amyloid beta (Aβ) and fibrillar brain Aβ measured by Pittsburgh compound B positron emission tomography ([11C]PiB PET) has not been assessed.MethodsNinety‐six Alzheimer's Disease Neuroimaging Initiative participants with [11C]PiB scans and plasma Aβ1–40 and Aβ1–42 measurements at the time of PET scanning were included. Regional and voxelwise analyses of [11C]PiB data were used to determine the influence of APOE ε4 allele on association of plasma Aβ1–40, Aβ1–42, and Aβ1–40/Aβ1–42 with [11C]PiB uptake.ResultsIn APOE ε4− but not ε4+ participants, positive relationships between plasma Aβ1–40/Aβ1–42 and [11C]PiB uptake were observed. Modeling the interaction of APOE and plasma Aβ1–40/Aβ1–42 improved the explained variance in [11C]PiB binding compared with using APOE and plasma Aβ1–40/Aβ1–42 as separate terms.ConclusionsThe results suggest that plasma Aβ is a potential Alzheimer's disease biomarker and highlight the importance of genetic variation in interpretation of plasma Aβ levels.
The clinical benefit of ruxolitinib across patient subgroups: analysis of a placebo‐controlled, Phase III study in patients with myelofibrosis
Verstovšek, Srđan , Levy, Richard S., Catalano, John, Deininger, Michael W. , Miller, Carole B., Silver, Richard T. , Talpaz, Moshe , Winton, Elliott F., Harvey, Jimmie H., Arcasoy, Murat O. , Lyons, Roger M. , Paquette, Ronald , Raza, Azra , Vaddi, Kris , Erickson‐Viitanen, Susan, Sandor, Victor, Kantarjian, Hagop M. , Mesa, Ruben A. , Gotlib, Jason , Gupta, Vikas , DiPersio, John F. , Hexner, Elizabeth O. , Sun, William , Verstovsek, Srdan , Talpaz, Moshe , Kantarjian, Hagop

Mayo Clinic

British Journal of Haematology | March 13, 2013 | Volume: 161 | Issue: 4 | Pages: 508-516

10.1111/bjh.12274 | PMID 23480528 Get It

SummaryMyelofibrosis (MF) patients can present with a wide spectrum of disease characteristics. We analysed the consistency of ruxolitinib efficacy across patient subgroups in the COntrolled MyeloFibrosis Study With ORal JAK Inhibitor Treatment (COMFORT‐I,) a double‐blind trial, where patients with intermediate‐2 or high‐risk MF were randomized to twice‐daily oral ruxolitinib (n = 155) or placebo (n = 154). Subgroups analysed included MF subtype (primary, post‐polycythaemia vera, post‐essential thrombocythaemia), age (≤65, > 65 years), International Prognostic Scoring System risk group, baseline Eastern Cooperative Oncology Group performance status (0, 1, ≥2), JAK2 V617F mutation (positive, negative), baseline haemoglobin level (≥100, <100 g/l), baseline platelet count (100–200 × 109/l, >200 × 109/l), baseline palpable spleen size (≤10, >10 cm), and baseline quartile of spleen volume and Total Symptom Score (TSS; Q1 = lowest, Q4 = highest). Mean percentage change from baseline to week 24 in spleen volume and TSS were calculated for ruxolitinib and placebo in each subgroup. Overall survival was estimated by Kaplan–Meier method according to original randomization group. In ruxolitinib‐treated patients, reductions in spleen volume and TSS and evidence of improved survival relative to placebo across subgroups were consistent with those seen in the COMFORT‐I population, confirming that ruxolitinib is an effective therapy for the spectrum of MF patients studied in COMFORT‐I.
Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity
Jahanshad, Neda , Rajagopalan, Priya , Hua, Xue , Hibar, Derrek P., Nir, Talia M. , Toga, Arthur W. , Jack, Clifford R., Saykin, Andrew J. , Weiner, Michael W. , Medland, Sarah E. , Montgomery, Grant W. , Hansell, Narelle K. , McMahon, Katie L. , Zubicaray, Greig I. de , Martin, Nicholas G. , Wright, Margaret J. , Thompson, Paul M. , Initiative, the Alzheimer’s Disease Neuroimaging, Aisen, Paul, Petersen, Ronald, Jagust, William J. , Trojanowski, John Q. , Toga, Arthur W., Green, Robert C., Liu, Enchi , Green, Robert C., Montine, Tom, Gamst, Anthony, Thomas, Ronald G. , Donohue, Michael, Walter, Sarah , Gessert, Devon, Sather, Tamie, Harvey, Danielle, Donohue, Michael, Kornak, John , Jack, Clifford R., Felmlee, Joel P. , Schuff, Norbert, Alexander, Gene, DeCarli, Charles , Bandy, Dan, Foster, Norm, Reiman, Eric M. , Mathis, Chet, Cairns, Nigel J. , Taylor‐Reinwald, Lisa, Trojanowki, John Q., Shaw, Les, Korecka, Magdalena , Toga, Arthur W., Crawford, Karen , Neu, Scott, Khachaturian, Zaven S., Frank, R.T., Molchan, Susan, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Heidebrink, Judith L. , Johnson, Kris , Doody, Rachelle S., Chowdhury, Munir , Bell, Karen L. , Carroll, Maria , Leon, Sue, Mintun, Mark A., Schneider, Stacy, Marson, Daniel , Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, Romirowsky, Aliza, deToledo‐Morrell, Leyla, Duara, Ranjan , Varon, Daniel, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie , Glodzik, Lidia , Santi, Susan De , Doraiswamy, P. Murali , Petrella, Jeffrey R. , Coleman, Robert E. , Arnold, Steven E. , Karlawish, Jason H., Smith, Charles D., Jicha, Gregory A. , Hardy, Peter , Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Mulnard, Ruth A., Thai, Gaby , Mc-Adams-Ortiz, Catherine, Mathews, Dana, Quiceno, Mary , King, Richard, Martin-Cook, Kristen, Devous, Michael D. , Cellar, Janet S., Anderson, Heather S., Swerdlow, Russell H. , Apostolova, Liana , Lu, Po H. , Bartzokis, George, Graff‐Radford, Neill R. , Parfitt, Francine, Farlow, Martin R. , Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Carson, Richard E. , MacAvoy, Martha G., Chertkow, Howard , Bergman, Howard , Hosein, Chris, Caldwell, Curtis, Hsiung, Ging‐Yuek Robin , Feldman, Howard J., Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles , Munic, Donna, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang‐Kuo, Johnson, Nancy E., Sadowsky, Carl, Villena, Teresa, Johnson, Kathleen, Reynolds, Brigid, Marshall, Gad A. , Frey, Meghan , Yesavage, Jerome A. , Taylor, Joy L. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Sabbagh, Marwan, Belden, Christine M. , Jacobson, Sandra A. , Kowall, Neil W. , Budson, Andrew E. , Johnson, Patricia Lynn, Wolday, Saba, Bwayo, Salome K., Lerner, Alan J. , Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Olichney, John , Kittur, Smita, Borrie, Michael, Lee, T.-Y., Bartha, Robert , Asthana, Sanjay , Carlsson, Cynthia M., Preda, Adrian , Tariot, Pierre N. , Fleisher, Adam , Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Kataki, Maria , Zimmerman, Earl A. , Celmins, Dzintra, Brown, Alice D., Blank, Karen, Anderson, Karen, Santulli, Robert B. , Schwartz, Eben S., Williamson, Jeff D. , Garg, Pradeep , Watkins, Franklin, Ott, Brian R. , Querfurth, Henry, Tremont, Geoffrey , Salloway, Stephen , Malloy, Paul, Correia, Stephen , Rosen, Howard J., Mintzer, Jacobo , Longmire, Crystal Flynn, Spicer, Kenneth, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Lee, Ting‐Yim , Jack, Clifford R., Green, Robert C. , Initiative, the Alzheimer’s Disease Neuroimaging, Jack, Clifford R. , Toga, Arthur W., Beckett, Laurel , Green, Robert C., Morris, John C. , Green, Robert C., Donohue, Michael, Sather, Tamie, Donohue, Michael, Jack, Clifford R., Dale, Anders M. , Bernstein, Matt A. , Fox, Nick C. , Koeppe, Robert A. , Chen, Kewei , Mathis, Chet, Lee, Virginia M.‐Y. , Toga, Arthur W., Foroud, Tatiana , Potkin, Steven G. , Shen, Li , Snyder, Peter J. , Kaye, Jeffrey , Lord, Joanne L. , Villanueva-Meyer, Javier E. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Grossman, Hillel, Shah, Raj C. , Duara, Ranjan , Varón, Daniel , Rusinek, Henry , Leon, Mony J. de , Karlawish, Jason , Wolk, David A. , Porsteinsson, Anton P. , Womack, Kyle , Diaz‐Arrastia, Ramon , Weiner, Myron , Levey, Allan I. , Lah, James J. , Burns, Jeffrey M. , Silverman, Daniel H.S. , Johnson, Heather M. , Black, Sandra E. , Stefanovic, Bojana , Kertesz, Andrew, Kerwin, Diana , Martínez, Walter Fabián , Turner, Raymond Scott , Sperling, Reisa Anne , Johnson, Keith A. , Killiany, Ronald , Norbash, Alexander , Obisesan, Thomas O. , Carmichael, Owen , Johnson, Sterling C. , Nguyen, Dana R. , Reeder, Stephanie, Scharre, Douglas W. , Pearlson, Godfrey D. , Sink, Kaycee M. , Miller, Bruce L. , Finger, Elizabeth C. , Kertesz, Andrew, de Zubicaray, Greig I , Hansell, Narelle K , Saykin, Andrew J , Preda, Adrian , Martin, Nicholas G , Toga, Arthur W , Wright, Margaret J , Thompson, Paul M , Medland, Sarah E , Hsiung, Gink-Yuek , Jicha, Gregory A

Mayo Clinic

Proceedings of the National Academy of Sciences | March 5, 2013 | Volume: 110 | Issue: 12 | Pages: 4768-4773

10.1073/pnas.1216206110 | PMID 23471985 Get It

Aberrant connectivity is implicated in many neurological and psychiatric disorders, including Alzheimer’s disease and schizophrenia. However, other than a few disease-associated candidate genes, we know little about the degree to which genetics play a role in the brain networks; we know even less about specific genes that influence brain connections. Twin and family-based studies can generate estimates of overall genetic influences on a trait, but genome-wide association scans (GWASs) can screen the genome for specific variants influencing the brain or risk for disease. To identify the heritability of various brain connections, we scanned healthy young adult twins with high-field, high-angular resolution diffusion MRI. We adapted GWASs to screen the brain’s connectivity pattern, allowing us to discover genetic variants that affect the human brain’s wiring. The association of connectivity with the SPON1 variant at rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringent statistical corrections were enforced, and it was replicated in an independent subsample. rs2618516 was shown to affect brain structure in an elderly population with varying degrees of dementia. Older people who carried the connectivity variant had significantly milder clinical dementia scores and lower risk of Alzheimer’s disease. As a posthoc analysis, we conducted GWASs on several organizational and topological network measures derived from the matrices to discover variants in and around genes associated with autism ( MACROD2 ), development ( NEDD4 ), and mental retardation ( UBE2A ) significantly associated with connectivity. Connectome-wide, genome-wide screening offers substantial promise to discover genes affecting brain connectivity and risk for brain diseases.
The Patellar Tendon-Bearing Brace as Treatment for Neurotrophic Arthropathy: A Dynamic Force Monitoring Study
Saltzman, Charles L., Johnson, Kenneth A. , Goldstein, Ronald H., Donnelly, Richard

Mayo Clinic

Foot & Ankle | March 3, 2013 | Volume: 13 | Issue: 1 | Pages: 14-21

10.1177/107110079201300103 | PMID 1577336 Get It

The effects of shoe wear, custom-made inserts, patellar tendon-bearing (PTB) braces, and extra-padded PTB braces on load transmission to neuroarthropathic (Charcot) feet of six diabetic patients were assessed. A PTB brace with a free ankle and an extradepth shoe without external modifications was used. Four distinct anatomical regions were evaluated by an in-shoe technique measuring vertical force. The mean peak force transmitted to the entire foot was higher in the affected than in the unaffected extremity barefoot and shod. The mean peak forces under the midfoot were higher for the affected than for the unaffected extremity for all tested circumstances. In the affected foot, use of the standard PTB brace reduced mean peak force to the entire foot by 15%. Adding extra padding to the brace decreased the mean peak force 32%. The effect of padding on vertical load transmission was greatest for patients who had worn the brace the longest. For the patients who had worn it longer than average, the addition of padding decreased the mean peak force to the entire foot by 19%, to the hindfoot by 37%, and to the midfoot by 20%. Clinical Relevance: In this preliminary study, we found that a properly fitted PTB brace can reduce load transmission to the Charcot foot. Specifically, load transmission was reduced to the hindfoot, but not to the midfoot or forefoot. Based on these results, we cannot recommend its use to reduce vertical force transmission to the Charcot midfoot or forefoot. Long-term PTB brace use, especially in the limited weightbearing patient, should be regularly adjusted to ensure adequate brace fit.