Citations

Mayo Clinic

Clear

822 citation(s) found for "Kaiser, U B".

Abstract P6-10-04: Statins and breast cancer stage and mortality in the Women's Health Initiative cohort
Arun, Monica P, Lehman, Amy, Lavasani, Sayeh , Wasswertheil-Smoller, Sylvia, Sarto, Gloria E., Cauley, Jane A. , Beebe‐Dimmer, Jennifer , Jay, Allison , Chlebowski, Rowan T. , Desai, Pinkal , Kwan, Marilyn L. , Manson, JoAnn E. , LeBoff, Meryl Susan , Coté, Michele L. , Simon, Michael S. , Cauley, Jane A

Cancer Research | May 4, 2015 | Volume: 75 | Issue: 9_Supplement | Pages: P6-10-04-P6-10-04

10.1158/1538-7445.sabcs14-p6-10-04 Get It

Abstract Background: Statins are the most widely prescribed cholesterol-lowering drugs in the United States, with approximately 25% of US adults using statins by 2008. The anti-carcinogenic effect of statins may reduce the metastatic potential of cancer cells leading to ‘stage migration’ with statin users more likely diagnosed with early rather than late stage cancer. We evaluated the effects of statins on breast cancer stage migration and breast cancer-specific mortality in the Women’s Health Initiative (WHI) Clinical Trial and Observational Study. Methods: The study population included 128,675 postmenopausal women aged 50 to 79 years, with 7,883 newly-diagnosed pathologically-confirmed cases of in situ (19%), local stage (61%), regional stage (19%) and distant stage (1%) breast cancer and 401 deaths due to breast cancer after an average of 11.5 (SD=3.7) years of follow-up. To reduce the possibility of detection bias, we excluded women who did not report a mammogram within 5 years of study entry, and who had no health insurance or medical care provider (n=28,237). Stage was coded using criteria implemented in the Surveillance, Epidemiology and End Results Program and stratified into early stage (in situ and local) vs. late stage (regional and distant). Information on statin use prior to breast cancer diagnosis was collected at baseline and years one, three, six, and nine years post-baseline. Self- and interviewer-administered questionnaires were used to collect risk factor information. Cause of death was based on medical record review by physician adjudicators. Cox proportional hazards regression models were used to calculate hazard ratios (HR) with 95% confidence intervals (CI) to evaluate the relationship between statin use as a time-dependent exposure and diagnosis of late stage breast cancer and breast cancer-specific mortality adjusting for important confounders. For these models, participants who had early stage breast cancer or who died during follow-up were censored at time of diagnosis or death, respectively. We also evaluated the effect of statins stratified by estrogen receptor (ER) status. Statistical tests were two-sided. Results: Statins were used by 10,474 women (8%) at baseline. In the multivariable-adjusted time-dependent model, statin use was associated with a marginal reduction in risk of late stage breast cancer (HR 0.84, 95% CI: 0.70-1.02, p=0.082) and a reduction in risk of late stage estrogen receptor positive breast cancer (HR 0.79, 95% CI: 0.63-0.99, p=0.044). Statin use was also associated with a marginal reduction in breast cancer-specific mortality although it did not reach statistical significance (HR 0.59, 95% CI: 0.32-1.06, p=0.075). Conclusions: In the WHI, statin use was associated with a modest reduction in risk of late stage estrogen positive breast cancer and a non-significant decrease in breast cancer mortality. We are currently performing sensitivity analyses on these models. Studies using other large data sets with longer follow-up and information on cancer-directed therapy are needed to further evaluate this possible association. Citation Format: Monica P Arun, Pinkal Desai, Amy Lehman, Marilyn L Kwan, JoAnn E Manson, Sayeh Lavasani, Sylvia Wasswertheil-Smoller, Gloria E Sarto, Meryl S LeBoff, Jane Cauley, Michele L Cote, Jennifer Beebe-Dimmer, Allison Jay, Rowan T Chlebowski, Michael S Simon. Statins and breast cancer stage and mortality in the Women's Health Initiative cohort [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P6-10-04.
Abstract P3-12-01: Impact of treatment on quality of life (QOL) and menstrual history (MH) in the NSABP B-36: A randomized phase III trial comparing six cycles of 5-fluorouracil (5-FU), epirubicin, and cyclophosphamide (FEC) to four cycles of adriamycin an
Bandos, Hanna , Robidoux, André, Paterson, Alexander , Polikoff, Johnathan, Báez-Díaz, Luis , Mangalik, Aroop, Ward, Patrick J. , Provencher, Louise , Hamm, John , Stella, Philip J., Carolla, Robert L., Margolese, Richard G., Shibata, Henry R., Perez, Edith A. , Ganz, Patricia A. , Wilson, John , Brufsky, Adam , Fehrenbacher, Louis , Wolmark, Norman , Ward, Patrick J

Cancer Research | May 4, 2015 | Volume: 75 | Issue: 9_Supplement | Pages: P3-12-01-P3-12-01

10.1158/1538-7445.sabcs14-p3-12-01 Get It

Abstract Background NSABP B-36 compares 6 cycles of FEC-100 with 4 cycles of standard AC in pts with node-negative breast cancer. As reported separately, no significant differences between the two treatment arms were observed in the primary endpoint of disease-free survival or in the secondary endpoints of overall survival, recurrence-free, or distant recurrence-free intervals. Greater toxicity was reported in pts who received FEC compared to AC. We present here the results of the QOL and MH studies obtained prospectively in conjunction with the treatment study. We hypothesized that pts on FEC would experience greater treatment toxicity in the first 12 months of the study, and would have greater rates of amenorrhea at 18 months compared to pts on AC. Methods Among the 1,357 pts enrolled in the QOL study, 1,332 (675 AC, 657 FEC) submitted the baseline form and had QOL follow-up (fup) information. Pts completed: 1) the FACT-B instrument; 2) a symptom checklist; and 3) the SF-36 Vitality Scale, all at baseline, day 1 of cycle 4, and at 6, 12, 18, 24, 30, and 36 months after random assignment. FACT-B Trial Outcome Index (TOI), symptom severity, and vitality scores were compared between the two treatment arms using a mixed model for repeated measures analysis with adjustment for the baseline scores, type of surgery, and hormone receptor status, examining the first 12 months and the later time points separately. Menstrual status was collected at baseline for all enrolled pts, with subsequent assessments on day 1 of cycle 4, and at 6, 12, 18, 24, 30, and 36 months for pts with menstrual bleeding within 12 months prior to random assignment and not having had a hysterectomy and/or bilateral oophorectomy (1, 096 pts). Post-chemotherapy amenorrhea was defined as the lack of menstrual periods during the 12 months preceding the 18-month fup evaluation. Data from 921 pts (475 AC, 446 FEC) were available for analysis. Logistic regression, adjusted for type of surgery and hormone receptor status, was used to test for association of amenorrhea status and treatment. Results Both TOI and vitality scores were worse for pts on FEC compared to those on AC at 6 months (p<0.01) with no significant difference at 12 months and beyond. No significant differences in symptom severity between the two treatment arms were observed. The rates of post-chemotherapy amenorrhea were significantly different between FEC and AC (66.8% vs. 58.7%, p=0.01) with positive hormone receptor status as an independent risk factor (p=0.03). Conclusions Women receiving FEC had diminished QOL at 6 months after random assignment, but no difference at 12 months or later. Premenopausal women receiving FEC experienced a higher rate of post-chemotherapy amenorrhea than women receiving AC. Support NCI grants U10-CA-12027, -37377, -69974, -69651 and -44066-26, and Pharmacia & Upjohn Company, a subsidiary of Pfizer, Inc. Citation Format: Patricia A Ganz, John W Wilson, Hanna Bandos, André Robidoux, Alexander HG Paterson, Johnathan Polikoff, Luis Baez-Diaz, Adam M Brufsky, Louis Fehrenbacher, Aroop Mangalik, Patrick J Ward, Louise Provencher, John T Hamm, Philip J Stella, Robert L Carolla, Richard G Margolese, Henry R Shibata, Edith A Perez, Norman Wolmark. Impact of treatment on quality of life (QOL) and menstrual history (MH) in the NSABP B-36: A randomized phase III trial comparing six cycles of 5-fluorouracil (5-FU), epirubicin, and cyclophosphamide (FEC) to four cycles of adriamycin and cyclophosphamide [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P3-12-01.
Constructing a classification of hypersensitivity/allergic diseases for ICD-11 by crowdsourcing the allergist community
Tanno, Luciana Kase , Calderón, Moisés A. , Goldberg, Bruce, Gayraud, J., Bircher, Andreas J. , Casale, Thomas B. , Li, J., Sánchez‐Borges, Mario , Rosenwasser, Lanny J. , Pawankar, Ruby , Papadopoulos, Nikolaos G. , Demoly, Pascal , Casale, Thomas

Allergy | March 4, 2015 | Volume: 70 | Issue: 6 | Pages: 609-615

10.1111/all.12604 | PMID 25736171 Get It

Cytokines and clinical predictors in distinguishing pulmonary transfusion reactions
Looney, Mark R. , Kor, Daryl J. , Lowell, Clifford A. , Hubmayr, Rolf D., Gropper, Michael A. , Koenigsberg, Monique, Wilson, Gregory , Matthay, Michael A. , Toy, Pearl, Murphy, Edward L. , Group, the TRALI Study, Wilson, Gregory A, Roubinian, Nareg H. , Gajic, Ognjen , Group, the TRALI Study

Transfusion | February 23, 2015 | Volume: 55 | Issue: 8 | Pages: 1838-1846

10.1111/trf.13021 | PMID 25702590 Get It

BACKGROUND Pulmonary transfusion reactions are important complications of blood transfusion, yet differentiating these clinical syndromes is diagnostically challenging. We hypothesized that biologic markers of inflammation could be used in conjunction with clinical predictors to distinguish transfusion‐related acute lung injury (TRALI), transfusion‐associated circulatory overload (TACO), and possible TRALI. STUDY DESIGN AND METHODS In a nested case‐control study performed at the University of California at San Francisco and Mayo Clinic, Rochester, we evaluated clinical data and blood samples drawn before and after transfusion in patients with TRALI (n = 70), possible TRALI (n = 48), TACO (n = 29), and controls (n = 147). Cytokines measured included granulocyte‐macrophage–colony‐stimulating factor, interleukin (IL)‐6, IL‐8, IL‐10, and tumor necrosis factor‐α. Logistic regression and receiver operating characteristics curve analyses were used to determine the accuracy of clinical predictors and laboratory markers in differentiating TACO, TRALI, and possible TRALI. RESULTS Before and after transfusion, IL‐6 and IL‐8 were elevated in patients with TRALI and possible TRALI relative to controls, and IL‐10 was elevated in patients with TACO and possible TRALI relative to that of TRALI and controls. For all pulmonary transfusion reactions, the combination of clinical variables and cytokine measurements displayed optimal diagnostic performance, and the model comparing TACO and TRALI correctly classified 92% of cases relative to expert panel diagnoses. CONCLUSIONS Before transfusion, there is evidence of systemic inflammation in patients who develop TRALI and possible TRALI but not TACO. A predictive model incorporating readily available clinical and cytokine data effectively differentiated transfusion‐related respiratory complications such as TRALI and TACO.
Phenotype analysis impacts testing strategy in patients with Currarino syndrome
Čuturilo, Goran , Hodge, J.C., Runke, Cassandra , Thorland, Erik C., Al-Owain, Mohammad, Ellison, Jay W., Babovic‐Vuksanovic, Dusica

Clinical Genetics | February 18, 2015 | Volume: 89 | Issue: 1 | Pages: 109-114

10.1111/cge.12572 | PMID 25691298 Get It

Currarino syndrome (OMIM 175450) presents with sacral, anorectal, and intraspinal anomalies and presacral meningocele or teratoma. Autosomal dominant loss‐of‐function mutations in the MNX1 gene cause nearly all familial and 30% of sporadic cases. Less frequently, a complex phenotype of Currarino syndrome can be caused by microdeletions of 7q containing MNX1. Here, we report one familial and three sporadic cases of Currarino syndrome. To determine the most efficient genetic testing approach for these patients, we have compared results from MNX1 sequencing, chromosomal microarray, and performed a literature search with analysis of genotype–phenotype correlation. Based on the relationship between the type of mutation (intragenic MNX1 mutations vs 7q microdeletion) and the presence of intellectual disability, growth retardation, facial dysmorphism, and associated malformations, we propose a testing algorithm. Patients with the classic Currarino triad of malformations but normal growth, intellect, and facial appearance should have MNX1 sequencing first, and only in the event of a normal result should the clinician proceed with chromosomal microarray testing. In contrast, if growth delay and/or facial dysmorphy and/or intellectual disability are present, chromosomal microarray should be the first method of choice for genetic testing.
Convergent genetic and expression data implicate immunity in Alzheimer's disease
Jones, Lesley , Lambert, Jean‐Charles , Choi, Seung‐Hoan, Harold, Denise , Vedernikov, Alexey , Escott‐Price, Valentina , Stone, Timothy, Richards, Alexander , Bellenguez, Céline , Sims, Rebecca , DeStefano, Anita L. , Bis, Joshua C. , Beecham, Gary W. , Grenier‐Boley, Benjamin , Russo, Giancarlo , Thornton‐Wells, Tricia A., Jones, Nicola, Smith, Albert V. , Thomas, Charlene , Zélénika, Diana, Kamatani, Yoichiro, Lin, Chiao‐Feng , Schmidt, Helena , Kunkle, Brian W. , Dunstan, Melanie , Ruiz, Agustı́n , Bihoreau, Marie‐Thérèse, Reitz, Christiane, Hollingworth, Paul, Hanon, Olivier , Fitzpatrick, Annette L., Buxbaum, Joseph D. , Campion, Dominique , Crane, Paul K. , Guðnason, Vilmundur , Cruchaga, Carlos , Craig, David W. , Amin, Najaf , Jager, Philip L. De , Deramecourt, Vincent , Johnston, Janet, Evans, Denis A., Lovestone, Simon , Letteneur, Luc, Kornhuber, Johanes, Tárraga, Lluís , Eiriksdottir, Gudny, Goate, Alison , Fiévet, Nathalie, Huentelman, Matthew J. , Gill, Michael , Emilsson, Valur , Brown, Kristelle, Kamboh, M. Ilyas , Keller, Lina, Barberger‐Gateau, Pascale, McGuinness, Bernadette , Larson, Eric B., Dufouil, Carole , Todd, Stephen , Wallon, David , Kehoe, Patrick G. , George‐Hyslop, Peter St , Lleὀ, Alberti, Bayer, Anthony, Tsuang, Debby W. , Yu, Lei, Tsolaki, Magda , Bossù, Paola , Spalletta, Gianfranco , Proitsi, Petra, Collinge, John, Sorbi, Sandro , Hardy, John , Naranjo, María Cándida Déniz, Razquín, Cristina , Bosco, Paola , Clarke, Robert , Brayne, Carol , Galimberti, Daniela , CFAS, MRC, Moebus, Susanne , Mecocci, Patrizia , Zompo, Maria Del, Maier, Wolfgang, Hampel, Harald , Pilotto, Alberto, Bullido, María J. , Panza, Francesco , Caffarra, Paolo , Nacmias, Benedetta , Gilbert, John R., Mayhaus, Manuel, Jessen, Frank , Dichgans, Martin , Lannfelt, Lars , Håkonarson, Håkon , Pichler, Sabrina, Carrasquillo, Minerva M., Beekly, Duane, Alavarez, Victoria, Zou, Fanggeng, Younkin, Steven G., Hamilton‐Nelson, Kara L., Mateo, Ignacio, Faber, Kelley M., Jónsson, Pálmi V. , Combarros, Onofre, O‘Donovan, Michael , Cantwell, Laura B., Blacker, Deborah , Mead, Simon , Harris, Tamara B., Fratiglioni, Laura , Bruijn, Renée F.A.G. de, Passmore, Peter , Montine, Thomas J. , Bettens, Karolien, Rotter, Jerome I. , Brice, Alexis , Morgan, Kevin , Foroud, Tatiana, Kukull, Walter A. , Hannequin, Didier , Powell, John , Nalls, Michael A., Ritchie, Karen , Lunetta, Kathryn L. , Kauwe, John S.K., Boerwinkle, Eric , Riemenschneider, Matthias, Boada, Merçé , Hiltunen, Mikko , Martin, Eden R. , Pástor, Pau , Schmidt, Reinhold, Dartigues, Jean‐François, Mayeux, Richard , Tzourio, Christophe , Hofman, Albert , Nöthen, Markus M. , Graff, Caroline , Haines, Jonathan L. , Lathrop, Mark, Pericak‐Vance, Margaret A. , Launer, Lenore J. , Farrer, Lindsay A. , Duijn, Cornelia M. van , Broeckhoven, Christine Van , Ramı́rez, Alfredo , Schellenberg, Gerard D., Seshadri, Sudha , Amouyel, Philippe , Williams, Julie , Holmans, Peter , Bennett, David A. , Proitsi, Petroula , Ballantyne, Christie M. , Denning, Nicola , Wang, Weixin , Ibrahim‐Verbaas, Carla A. , Naj, Adam Christian , Gerrish, Amy , Jun, Gyungah , Chouraki, Vincent Antoine , Ikram, M. Arfan , Vardarajan, Badri Narayan , Kamatani, Yoichiro, Pasquier, Florence , Becker, Tim , Cruchaga, Carlos , Berr, Claudine , López, Oscar L. , Rubinsztein, David Chaim , Sleegers, Kristel , Myers, Amanda , Love, Seth , Rogaeva, Ekaterina A. , Gallacher, John , Clarimón, Jordi , Bayer, Anthony, Proitsi, Petra, Sánchez-García, Florentino , Fox, Nick C. , Mancuso, Michelangelo , CFAS, MRC, Carrasquillo, Minerva M. , Ingelsson, Martin , Valladares, Otto , Coto, Eliécer , Hamilton‐Nelson, Kara L. , Owen, Michael J. , Soininen, Hilkka S. , Mosley, Thomas H. , Bennett, David , Holmes, Clive , Riemenschneider, Matthias, Rujescu, Dan , Psaty, Bruce M. , Bennett, David A. , Dichgans, Martin , Ramirez, Alfredo , Hakonarson, Hakon , Nöthen, Markus M , Seshadri, Sudha , Hardy, John , Amouyel, Philippe , Tzourio, Christophe , van Duijn, Cornelia M , Smith, Albert V , Ballantyne, Christie M , Rotter, Jerome I , Moebus, Susanne , Ruiz, Agustín , Pastor, Pau , Boada, Merce , Tsolaki, Magda , Brice, Alexis , Goate, Alison M , Galimberti, Daniela , Escott-Price, Valentina , Mecocci, Patrizia , Nacmias, Benedetta , Graff, Caroline , Riemenschneider, Markus J.

Alzheimer's & Dementia | December 20, 2014 | Volume: 11 | Issue: 6 | Pages: 658-671

10.1016/j.jalz.2014.05.1757 | PMID 25533204 Get It

AbstractBackgroundLate‐onset Alzheimer's disease (AD) is heritable with 20 genes showing genome‐wide association in the International Genomics of Alzheimer's Project (IGAP). To identify the biology underlying the disease, we extended these genetic data in a pathway analysis.MethodsThe ALIGATOR and GSEA algorithms were used in the IGAP data to identify associated functional pathways and correlated gene expression networks in human brain.ResultsALIGATOR identified an excess of curated biological pathways showing enrichment of association. Enriched areas of biology included the immune response (P = 3.27 × 10−12 after multiple testing correction for pathways), regulation of endocytosis (P = 1.31 × 10−11), cholesterol transport (P = 2.96 × 10−9), and proteasome‐ubiquitin activity (P = 1.34 × 10−6). Correlated gene expression analysis identified four significant network modules, all related to the immune response (corrected P = .002–.05).ConclusionsThe immune response, regulation of endocytosis, cholesterol transport, and protein ubiquitination represent prime targets for AD therapeutics.
A multicenter study of plasma use in the United States
Triulzi, Darrell J., Gottschall, Jerome L. , Murphy, Edward L. , Wu, Yanyun , Ness, Paul M., Kor, Daryl J. , Fleischmann, Debra, Chowdhury, Dhuly , Brambilla, Donald , (REDS‐III), NHLBI Recipient Epidemiology and Donor Evaluation Study‐III, Kor, Daryl, Roubinian, Nareg H. , (REDS‐III), NHLBI Recipient Epidemiology and Donor Evaluation Study‐III

Transfusion | December 19, 2014 | Volume: 55 | Issue: 6 | Pages: 1313-1319

10.1111/trf.12970 | PMID 25522888 Get It

BackgroundDetailed information regarding plasma use in the United States is needed to identify opportunities for practice improvement and design of clinical trials of plasma therapy.Study Design and MethodsTen US hospitals collected detailed medical information from the electronic health records for 1 year (2010‐2011) for all adult patients transfused with plasma.ResultsA total of 72,167 units of plasma were transfused in 19,596 doses to 9269 patients. The median dose of plasma was 2 units (interquartile range, 2‐4; range 1‐72); 15% of doses were 1 unit, and 45% were 2 units. When adjusted by patient body weight (kg), the median dose was 7.3 mL/kg (interquartile range, 5.5‐12.0). The median pretransfusion international normalized ratio (INR) was 1.9 (25%‐75% interquartile range, 1.6‐2.6). A total of 22.5% of plasma transfusions were given to patients with an INR of less than 1.6 and 48.5% for an INR of 2.0 or more. The median posttransfusion INR was 1.6 (interquartile range, 1.4‐2.0). Only 42% of plasma transfusions resulted in a posttransfusion INR of less than 1.6. Correction of INR increased as the plasma dose increased from 1 to 4 units (p < 0.001). There was no difference in the INR response to different types of plasma. The most common issue locations were general ward (38%) and intensive care unit (ICU; 42%).ConclusionThis large database describing plasma utilization in the United States provides evidence for both inadequate dosing and unnecessary transfusion. Measures to improve plasma transfusion practice and clinical trials should be directed at patients on medical and surgical wards and in the ICU where plasma is most commonly used.