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1164 citation(s) found for "Xu, Victoria".

Marine Invertebrate Natural Products that Target Microtubules
Miller, John H. , Field, Jessica J. , Owen, Jeremy G. , Singh, A. Jonathan , Northcote, Peter T. , Kanakkanthara, Arun , Singh, A Jonathan , Northcote, Peter T

Journal of Natural Products | February 12, 2018 | Volume: 81 | Issue: 3 | Pages: 691-702

10.1021/acs.jnatprod.7b00964 | PMID 29431439 Get It

Ponatinib Shows Potent Antitumor Activity in Small Cell Carcinoma of the Ovary Hypercalcemic Type (SCCOHT) through Multikinase Inhibition
Lang, Jessica D. , Hendricks, William P.D. , Orlando, Krystal A. , Yin, Hongwei , Kiefer, Jeffrey , Sharma, Ritin , Pirrotte, Patrick , Raupach, Elizabeth A. , Sereduk, Chris , Tang, Nanyun , Liang, Winnie S. , Washington, Megan , Facista, Salvatore , Zismann, Victoria , Major, Michael B. , Sekulić, Aleksandar , Hass, Ralf , Nair, Praveen , Weissman, Bernard E. , Huntsman, David G. , Trent, Jeffrey M. , Ramos, Pilar , Cousins, Emily M. , Wang, Yemin , Karnezis, Anthony N. , Vanderhyden, Barbara C. , Lang, Jessica D.

Clinical Cancer Research | February 9, 2018 | Volume: 24 | Issue: 8 | Pages: 1932-1943

10.1158/1078-0432.ccr-17-1928 | PMID 29440177 Get It

Abstract Purpose: Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is a rare, aggressive ovarian cancer in young women that is universally driven by loss of the SWI/SNF ATPase subunits SMARCA4 and SMARCA2. A great need exists for effective targeted therapies for SCCOHT. Experimental Design: To identify underlying therapeutic vulnerabilities in SCCOHT, we conducted high-throughput siRNA and drug screens. Complementary proteomics approaches profiled kinases inhibited by ponatinib. Ponatinib was tested for efficacy in two patient-derived xenograft (PDX) models and one cell-line xenograft model of SCCOHT. Results: The receptor tyrosine kinase (RTK) family was enriched in siRNA screen hits, with FGFRs and PDGFRs being overlapping hits between drug and siRNA screens. Of multiple potent drug classes in SCCOHT cell lines, RTK inhibitors were only one of two classes with selectivity in SCCOHT relative to three SWI/SNF wild-type ovarian cancer cell lines. We further identified ponatinib as the most effective clinically approved RTK inhibitor. Reexpression of SMARCA4 was shown to confer a 1.7-fold increase in resistance to ponatinib. Subsequent proteomic assessment of ponatinib target modulation in SCCOHT cell models confirmed inhibition of nine known ponatinib target kinases alongside 77 noncanonical ponatinib targets in SCCOHT. Finally, ponatinib delayed tumor doubling time 4-fold in SCCOHT-1 xenografts while reducing final tumor volumes in SCCOHT PDX models by 58.6% and 42.5%. Conclusions: Ponatinib is an effective agent for SMARCA4-mutant SCCOHT in both in vitro and in vivo preclinical models through its inhibition of multiple kinases. Clinical investigation of this FDA-approved oncology drug in SCCOHT is warranted. Clin Cancer Res; 24(8); 1932–43. ©2018 AACR.
Adenoma recurrence after endoscopic mucosal resection: propensity score analysis of old and new colonoscopes and Sydney recurrence tool implementation
Kandel, Pujan , Perez, Lady Mejia, Bingham, Russell, Lennon, Ryan J. , Woodward, Timothy A., Gómez, Victoria , Bouras, Ernest P., Wallace, Michael B. , Vinsard, Daniela Guerrero , Mejia Perez, Lady Katherine, Bingham, Russell L, Raimondo, Massimo , Wallace, Michael B , Pérez, Lady Katherine Mejía

Endoscopy International Open | February 7, 2018 | Volume: 06 | Issue: 02 | Pages: E230-E241

10.1055/s-0043-122070 | PMID 29423433 Get It

Abstract Background and study aims Risk factors for colorectal adenoma recurrence after endoscopic mucosal resection (EMR) have been well documented. We assessed the efficacy of the newer 190 colonoscope versus the standard 180 colonoscope for complete resection of lateral spreading lesions. Patients and methods A single-center, retrospective study of patients who underwent EMR with Olympus 180 or 190 colonoscopes from January 1, 2010 to September 30, 2016. We included patients with lesions ≥ 20 mm and surveillance colonoscopy (SC1) after index EMR. A propensity score approach with inverse probability weighting was used to control for potential confounders. A secondary aim was to identify risk factors for recurrence and assess the applicability of the Sydney EMR recurrence tool (SERT) by grading each lesion of our cohort and analyzing associations with recurrence. Results Two hundred ninety-one lesions met inclusion criteria for the study. Odds ratio (OR) for recurrence with the 190 colonoscope was 1.06 (P = .85). Adenoma size (P = .02) and use of argon plasma coagulation (APC; P < .001) were risk factors for recurrence. Lesions with SERT scores > 0 had a higher recurrence risk during follow-up (32 % vs 21 %; OR 1.71; P = .05). Lesions with SERT scores = 0 reached a plateau for recurrence at 12 and 18 months in Kaplan-Meier curves. Conclusions The use of 190 colonoscopes did not measurably affect adenoma recurrence at SC1. Recurrence was associated with adenoma size, complementary APC for resection, and SERT scores > 0. Lesions with SERT scores = 0 that remain negative for recurrence at 18 months may return to routine surveillance.
Reproducibility of Lung‐to‐Head Ratio Ultrasound Measurements in Congenital Diaphragmatic Hernia
Novoa, Victoria Arruga Novoa y, Sutton, Laura F., Neis, Allan E., Marroquin, Amber M., Freimund, Tamara A., Coleman, Tracey M., Praska, Kathleen A., Ruka, Krystal L., Warzala, Vicki L., Sangi‐Haghpeykar, Haleh , Novoa Y Novoa, Victoria Arruga, Ruano, Rodrigo , Ruano, Rodrigo

Journal of Ultrasound in Medicine | February 5, 2018 | Volume: 37 | Issue: 8 | Pages: 2037-2041

10.1002/jum.14557 | PMID 29399860 Get It

ObjectivesThis study investigated the reproducibility of standardization of lung‐to‐head ratio measurements in congenital diaphragmatic hernia (CDH) at our center among sonographers after we standardized the method.MethodsWe reviewed ultrasound images of 12 fetuses with CDH at Mayo Clinic from 2010 to 2016. Nine operators (1 maternal‐fetal medicine specialist with experience in measuring the lung‐to‐head ratio and 8 sonographers), who were blinded to previous findings, reviewed 33 selected images from 12 fetuses with left CDH. The method for lung‐to‐head ratio measurement was standardized before starting the measurements. The lung‐to‐head ratio was assessed by different methods to obtain the lung areas: anteroposterior, longest, and area tracing. We evaluated the correlation between operators using the intraclass correlation coefficient (ICC). We also compared agreement between the sonographers and a physician with experience in measuring the lung‐to‐head ratio using a Bland‐Altman analysis.ResultsThe methods with the best interoperator reproducibility were the standardized anteroposterior lung‐to‐head ratio (ICC, 0.69) and the standardized lung‐to‐head ratio tracing (ICC, 0.65) compared to the longest lung‐to‐head ratio (ICC, 0.56). The standardized lung‐to‐head ratio tracing had the best agreement among sonographers and the physician (bias, 0.11; limits of agreement, −0.27 to +0.49) than the anteroposterior lung‐to‐head ratio (bias, 0.35; limits of agreement, −0.13 to + 0.83) and the longest lung‐to‐head ratio (bias, 0.27; limits of agreement, −0.35 to +0.89).ConclusionsWe demonstrated that the lung‐to‐head ratio tracing method has high interoperator reproducibility and the best agreement among the operators at our center. Further multicenter studies are necessary to confirm our results.
Genomic Analysis Using Regularized Regression in High-Grade Serous Ovarian Cancer
Natanzon, Yanina , Earp, Madalene A. , Cunningham, Julie M. , Kalli, Kimberly R., Armasu, Sebastian M. , Bowtell, David D.L. , Garsed, Dale W. , Goode, Ellen L. , Earp, Madalene, Bowtell, David D , Wang, Chen , Larson, Melissa C. , Fridley, Brooke L. , Winham, Stacey J. , Garsed, Dale W

Cancer Informatics | February 1, 2018 | Volume: 17 | Issue: No issue available | Pages: No page available

10.1177/1176935118755341 | PMID 29434467 Get It

High-grade serous ovarian cancer (HGSOC) is a complex disease in which initiation and progression have been associated with copy number alterations, epigenetic processes, and, to a lesser extent, germline variation. We hypothesized that, when summarized at the gene level, tumor methylation and germline genetic variation, alone or in combination, influence tumor gene expression in HGSOC. We used Elastic Net (ENET) penalized regression method to evaluate these associations and adjust for somatic copy number in 3 independent data sets comprising tumors from more than 470 patients. Penalized regression models of germline variation, with or without methylation, did not reveal a role in HGSOC gene expression. However, we observed significant association between regional methylation and expression of 5 genes ( WDPCP, KRT6C, BRCA2, EFCAB13, and ZNF283). CpGs retained in ENET model for BRCA2 and ZNF283 appeared enriched in several regulatory elements, suggesting that regularized regression may provide a novel utility for integrative genomic analysis.
Genetically modified lentiviruses that preserve microvascular function protect against late radiation damage in normal tissues
Khan, Aadil , Paget, James , McLaughlin, Martin , Kyula, Joan , Wilkinson, Michelle, Pencavel, Timothy, Roulstone, Victoria , Seth, Rohit , Halle, Martin , Somaiah, Navita , Boult, Jessica K.R. , Robinson, Simon P. , Pandha, Hardev , Vile, Richard G. , Melcher, Alan , Harrington, Kevin J. , Khan, Aadil A , Paget, James T , Kyula, Joan N , Roulstone, Victoria , Halle, Martin , Boult, Jessica K R , Robinson, Simon P , Melcher, Alan A , Harrington, Kevin , McLaughlin, Martin , Pencavel, Tim D., Mansfield, David , Harris, Paul A.

Science Translational Medicine | January 24, 2018 | Volume: 10 | Issue: 425 | Pages: No page available

10.1126/scitranslmed.aar2041 | PMID 29367346 Get It

Vascular protection using gene therapy can reduce the late toxicities of radiotherapy.
PHIP- a novel candidate breast cancer susceptibility locus on 6q14.1
Jiao, Xiang , Collaborators, NBCS, Investigators, kConFab/AOCS, Aravidis, Christos , Marikkannu, Rajeshwari, Rantala, Johanna, Adamović, Tatjana , Maguire, Paula , Kremeyer, Bárbara , Holst, Susanna von, Kontham, Vinaykumar, Thutkawkorapin, Jessada , Margolin, Sara , Du, Quan , Lundin, Johanna , Michailidou, Kyriaki , Bolla, Manjeet K. , Wang, Qin , Andrulis, Irene L. , Antonenkova, Natalia, Beckmann, Matthias W. , Blomqvist, Carl , Blot, William J. , Bojesen, Stig E. , Brand, Judith S. , Brauch, Hiltrud , Brenner, Hermann , Brüning, Thomas , Burwinkel, Barbara , Chang‐Claude, Jenny , Couch, Fergus J. , Deming-Halverson, Sandra, Dörk, Thilo , Eriksson, Mikael , Fasching, Peter A. , Figueroa, Jonine D. , Flesch‐Janys, Dieter, Flyger, Henrik, Gabrielson, Marike , García‐Closas, Montserrat , González‐Neira, Anna , Guénel, Pascal , Guo, Qi , Gündert, Melanie , Haiman, Christopher A., Hallberg, Emily, Hamann, Ute , Harrington, Patricia, Hooning, Maartje J. , Hopper, John L. , Huang, Guanmengqian, Jakubowska, Anna , Jones, Michael E. , Kerin, Michael J. , Kosma, Veli‐Matti , Kristensen, Vessela N. , Lambrechts, Diether , Lubiński, Jan , Mannermaa, Arto, Meindl, Alfons, Mulligan, Anna Marie , Peto, Julian, Pylkäs, Katri , Radice, Paolo , Rhenius, Valerie , Sawyer, Elinor J. , Schmutzler, Rita K., Seynaeve, Caroline, Shah, Mitul , Simard, Jacques , Southey, Melissa C. , Swerdlow, Anthony J. , Truong, Thérèse , Wendt, Camilla, Winqvist, Robert , Easton, Douglas F. , Lindblom, Annika , Durocher, Francine , Bowtell, David D.L. , Lambrechts, Diether , Dörk, Thilo , Lambrechts, Diether , Swerdlow, Anthony J , Radice, Paolo , Southey, Melissa C , Jakubowska, Anna , Jones, Michael E , Lambrechts, Diether , Brenner, Hermann , Guénel, Pascal , García-Closas, Montserrat , Michailidou, Kyriaki , Simard, Jacques , Eriksson, Mikael , Figueroa, Jonine D , Gabrielson, Marike , Bowtell, David D , Collaborators, NBCS, Investigators, kConFab/AOCS, Picelli, Simone , Liu, Tao , Luo, Liping , Dennis, Joe , Lush, Michael J. , Ambrosone, Christine B. , Anton‐Culver, Hoda , Arndt, Volker , Boeckx, Bram , Bonanni, Bernardo , Broeks, Annegien , Cai, Qiuyin , Couch, Fergus J. , Cox, Angela , Cross, Simon S. , Devilee, Peter , dos‐Santos‐Silva, Isabel , Giles, Graham G. , Hooning, Maartje J. , Marchand, Loı̈c Le , Mannermaa, Arto, Martens, John W.M. , Meindl, Alfons, Milne, Roger L. , Neuhausen, Susan L. , Nevanlinna, Heli , Schmidt, Marjanka K. , Zheng, Wei , Benı́tez, Javier , Dunning, Alison M. , Pharoah, Paul D.P. , Czene, Kamila , Hall, Per N , Pylkäs, Katri , Lubinski, Jan , Bojesen, Stig E , Truong, Therese , Brauch, Hiltrud , Lindblom, Annika , Sawyer, Elinor J

Oncotarget | December 7, 2017 | Volume: 8 | Issue: 61 | Pages: 102769-102782

10.18632/oncotarget.21800 | PMID 29262523 Get It

Impact of Excessive Weight Gain on Cardiovascular Outcomes in Type 1 Diabetes: Results From the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Study
Purnell, Jonathan Q. , Braffett, Barbara H. , Zinman, Bernard, Gubitosi‐Klug, Rose , Sivitz, William, Bantle, John P., Ziegler, Georgia, Cleary, Patricia A., Brunzell, John D. , Nathan, D.M., Zinman, B., Crofford, O., Genuth, S., Brown-Friday, J., Crandall, J., Engel, S., Martinez, H., Phillips, M., Reid, M., Shamoon, H., Sheindlin, J., Gubitosi-Klug, R., Mayer, L., Pendegast, S., Zegarra, H., Miller, D., Singerman, L., Smith-Brewer, S., Novak, M., Quin, J., Genuth, Saul, Palmert, M., Brown, E., McConnell, J., Pugsley, P., Crawford, P., Dahms, W., Gregory, N.S., Lackaye, M.E., Kiss, S., Chan, R., Orlin, A., Rubin, M., Brillon, D., Reppucci, V., Lee, T., Heinemann, M., Chang, S., Levy, B., Jovanovic, L., Richardson, M., Bosco, B., Dwoskin, A., Hanna, R., Barron, S., Campbell, R., Bhan, A., Krüger, D., Jones, J.K., Edwards, P.A., Bhan, A., Carey, J.D., Angus, E., Thomas, A., Galprin, A., McLellan, M., Whitehouse, F., Bergenstal, R., Johnson, M., Gunyou, K., Thomas, L., Laechelt, J., Hollander, P., Spencer, M., Kendall, D., Cuddihy, R., Callahan, P., List, S., Gott, J., Rude, N., Olson, B., Franz, M., Castle, G., Birk, R., Nelson, J., Freking, D., Gill, L., Mestrezat, W., Etzwiler, D., Morgan, K., Aiello, L.P., Golden, E., Arrigg, P., Asuquo, V., Beaser, R., Bestourous, L., Cavallerano, J., Cavicchi, R., Ganda, O., Hamdy, O., Kirby, R., Murtha, T., Schlossman, D., Shah, S., Sharuk, G., Silver, P., Silver, P., Stockman, M., Sun, J., Weimann, E., Wolpert, H., Aiello, L. M., Jacobson, A., Rand, L., Rosenzwieg, J., Nathan, D.M., Larkin, M.E., Christofi, M., Folino, K., Godine, J., Lou, P., Stevens, C., Anderson, E., Bode, H., Brink, S., Cornish, C., Cros, D., Delahanty, L., deManbey, A., Haggan, C., Lynch, J., McKitrick, C., Norman, D., Moore, D., Ong, M., Taylor, C., Zimbler, D., Crowell, S., Fritz, S., Hansen, K., Gauthier‐Kelly, C., Service, F. J., Ziegler, G., Barkmeier, A., Schmidt, L., French, B., Woodwick, R., Rizza, R., Schwenk, W. F., Haymond, M., Pach, J., Mortenson, J., Zimmerman, B., Lucas, A., Colligan, R., Luttrell, L., Lopes-Virella, M., Caulder, S., Pittman, C., Patel, N., Lee, K., Nutaitis, M., Fernandes, J., Hermayer, K., Kwon, S., Blevins, A., Parker, J., Colwell, J., Lee, D., Soule, J., Lindsey, P., Bracey, M., Farr, A., Elsing, S., Thompson, T., Selby, J., Lyons, T., Yacoub-Wasef, S., Szpiech, M., Wood, D., Mayfield, R., Molitch, M., Adelman, D., Colson, S., Jampol, L., Lyon, A., Gill, M., Strugula, Z., Kaminski, L., MIRZA, R., Simjanoski, E., Ryan, D., Johnson, C., Wallia, A., Ajroud-Driss, S., Astelford, P., Leloudes, N., Degillio, A., Schaefer, B., Mudaliar, S., Lorenzi, G., Goldbaum, M., Jones, K., Prince, M., Swenson, M., Grant, I., Reed, R., Lyon, R., Kolterman, O., Giotta, M, Clark, T., Friedenberg, G., Sivitz, W.I., Vittetoe, B., Kramer, J., Bayless, M., Zeitler, R., Schrott, H., Olson, N., Snetselaar, L., Hoffman, R., MacIndoe, J., Weingeist, T., Fountain, C., Miller, R., Johnsonbaugh, S., Patronas, M., Carney, M., Mendley, S., Salemi, P., Liss, R., Hebdon, M., Counts, D., Donner, T., Gordon, J., Hemady, R., Kowarski, A., Ostrowski, D., Steidl, S., Jones, B., Herman, W.H., Martin, C.L., Pop-Busui, R., Greene, D. A., Stevens, M.J., Burkhart, N., Sandford, T, Floyd, J., Bantle, J., Flaherty, N., Terry, J., Koozekanani, D., Montezuma, S., Wimmergren, N., Rogness, B., Mech, M., Strand, T., Olson, J., McKenzie, L., Kwong, C., Goetz, F., Warhol, R., Hainsworth, D., Goldstein, D., Hitt, S., Giangiacomo, J., Schade, D.S., Canady, J.L., Burge, M. R., Das, A., Avery, R.B., Ketai, L.H., Chapin, J.E., Schluter, M.L, Rich, J., Johannes, C., Hornbeck, D., Schutta, M., Bourne, P.A., Brucker, A., Braunstein, S., Schwartz, S., Maschak-Carey, B. J., Baker, L., Orchard, T., Cimino, L., Songer, T., Doft, B., Olson, S., Becker, D., Rubinstein, D., Bergren, R.L., Fruit, J., Hyre, R., Palmer, C., Silvers, N., Lobes, L., Rath, P. Paczan, Conrad, P. W., Yalamanchi, S., Wesche, J., Bratkowksi, M., Arslanian, S., Rinkoff, J., Warnicki, J., Curtin, D., Steinberg, D., Vagstad, G., Harris, R., Steranchak, L., Arch, J., Kelly, K., Ostrosaka, P., Guiliani, M., Good, M., Williams, T., Olsen, K., Campbell, A., Shipe, C., Conwit, R., Finegold, D., Zaucha, M., Drash, A., Morrison, A., Malone, J.I., Bernal, M.L., Pavan, P. R., Grove, N., Tanaka, E.A., McMillan, D., Vaccaro‐Kish, J., Babbione, L., Solc, H., DeClue, T.J., Dagogo-Jack, S., Wigley, C., Ricks, H., Kitabchi, A., Chaum, E., Murphy, M.B., Moser, S., Meyer, D., Iannacone, A., Yoser, S., Bryer‐Ash, M., Schüßler, S., Lambeth, H., Raskin, P., Strowig, S., Basco, M., Cercone, S., Zinman, B., Barnie, A., Devenyi, R., Mandelcorn, M., Brent, M., Rogers, S., Gordon, A., Bakshi, N., Perkins, B., Tuason, L., Perdikaris, F., Ehrlich, R., Daneman, D., Perlman, K., Ferguson, S., Palmer, J., Fahlstrom, R., Boer, I.H.de, Kinyoun, J., Ottingham, L. Van, Catton, S., Ginsberg, J., McDonald, C., Harth, J., Driscoll, M., Sheidow, T., Mahon, J., Canny, C., Nicolle, D., Colby, P., Dupre, J., Hramiak, I., Rodger, NW, Jenner, M., Smith, T., Brown, W., May, M., Hagan, J. Lipps, Agarwal, A., Adkins, T., Lorenz, R., Feman, S., Survant, L., White, N. H., Levandoski, L., Grand, G., Thomas, M., Joseph, D., Blinder, K., Shah, G., Burgess, D., Boniuk, I., Santiago, J., Tamborlane, W., Gatcomb, P., Stoessel, K., Ramos, P., Fong, K., Ossorio, P., Ahern, J., Meadema-Mayer, L., Beck, C., Farrell, K., Quin, J., Gaston, P., Trail, R., Lachin, J., Backlund, J., Bebu, I., Braffett, B., Diminick, L., Gao, X., Hsu, W., Klumpp, K., Trapani, Victoria R., Trapani, V., Cleary, P., McGee, P., Sun, W. , Villavicencio, S., Anderson, K., Dews, L., Younes, Naji , Rutledge, B., Chan, K., Rosenberg, D. , Petty, B., Determan, A., Kenny, D., Williams, C., Cowie, C., Siebert, C., Steffes, M., Arends, V., Bucksa, J., Nowicki, M., Chavers, B., O’Leary, D., Polák, J. (Jaroslav), Harrington, A., Funk, L., Crow, R., Gloeb, B., Thomas, S., O’Donnell, C., Soliman, EZ, Zhang, Z.M., Li, Y., Campbell, C., Keasler, L., Hensley, S., Hu, J., Barr, M., Taylor, T., Prineas, R., Feldman, E.L., Albers, J.W., Low, P., Sommer, C., Nickander, K., Speigelberg, T., Pfiefer, M., Schumer, M., Moran, M., Farquhar, J., Ryan, C., Sandstrom, D., Geckle, M., Cupelli, E., Thoma, F., Burzuk, B., Woodfill, T., Danis, R., Blodi, B., Lawrence, D., Wabers, H., Gangaputra, S., Neill, S., Burger, M., Dingledine, J., Gama, V., Sussman, R., Davis, M., Hubbard, L., Budoff, M., Darabian, S., Rezaeian, P., Wong, N., Fox, M., Oudiz, R., Kim, L., Detrano, R., Cruickshanks, K., Bainbridg, K., Lima, J., Bluemke, D., Turkbey, E., Geest, R. J. van der, Liu, C., Malayeri, A., Jain, A., Miao, C., Chahal, H., Jarboe, R., Nathan, D.M., Monnier, V., Sell, D., Strauch, C., Hazen, S., Pratt, A., Tang, W., Brunzell, J., Purnell, J., Purnell, J., Natarajan, R., Miao, F., Zhang, L., Chen, Z., Paterson, A., Boright, A., Bull, S., Sun, L., Scherer, S., Lyons, T.J., Jenkins, A., Klein, R., Virella, G., Jaffa, A., Carter, R., Stoner, J., Garvey, W.T., Lackland, D., Brabham, M., McGee, D., Zheng, D., Mayfield, R. K., Maynard, J., Wessells, H., Sarma, A., Dunn, R., Holt, S., Hotaling, J., Kim, C., Clemens, Q., McVary, Kevin T. , Cuddihy, Robert , Paterson, Andrew D. , Gubitosi-Klug, Rose A , Paterson, Andrew , Zinman, Bernard , Sivitz, William I. , Ziegler, G., Nathan, D.M., Engel, Samuel S. , Reid, M., Genuth, Saul, McConnell, J., Campbell, R., Carey, J.D., Dd, Etzwiler, Cavallerano, Jerry D. , Larkin, M.E., DeManbey, Andrea, Ajroud-Driss, S., Mudaliar, S., Herman, W.H., Pop-Busui, R., Mech, Michael, Schade, D.S., Schwartz, S., Becker, Dj., Arch, J., Shipe, C., Drash, A L, Pavan, P R , DeClue, Terry J., Raskin, P., Rogers, S., Boer, I.H. de, Dupre, J, Tamborlane, W., Gatcomb, P., Bebu, I., Cleary, P., McGee, P., Steffes, M., Arends, V., Bm, Chavers, Polak, J., Feldman, E. L., Nickander, K. K., Pfiefer, M., Dittz, Dalton , Virella, Gabriel, Mayfield, R. K., Brown, Jonathan D. , Cuddihy, Robert M

Diabetes Care | November 15, 2017 | Volume: 40 | Issue: 12 | Pages: 1756-1762

10.2337/dc16-2523 | PMID 29138273 Get It

OBJECTIVE Intensive treatment (INT) of type 1 diabetes reduces the incidence of cardiovascular disease (CVD) events compared with conventional treatment (CONV), but it also results in more weight gain. Our objective was to examine whether excessive weight gain from INT of type 1 diabetes is independently associated with subsequent CVD events. RESEARCH DESIGN AND METHODS Quartiles (Q) of weight gain in 1,213 participants aged 18 years and older at enrollment in the Diabetes Control and Complications Trial (DCCT) were determined within randomized treatment groups (INT vs. CONV) using change in BMI from baseline to the closeout DCCT visits. Effects of this weight gain on CVD risk factors and outcomes during an additional 20 years of observational follow-up were then determined. RESULTS The Q4 INT group experienced greater proportional weight gain (median change in BMI, 6.08 kg/m2), increases in CVD risk factors, and need for medications for hypertension and lipids compared with the Q1–3 INT and comparable CONV groups. Over a mean of 26 years of follow-up, the numbers of major and total CVD events were not statistically different in Q4 compared with Q1–3 of either the INT or CONV group. By year 14, however, the incident CVD event curve became significantly higher in the Q4 INT group than in the Q1–3 INT groups (P = 0.024) and was similar to that for the CONV group. CONCLUSIONS For the first 13 years after DCCT, INT for type 1 diabetes reduced macrovascular events compared with CONV, even when excessive weight gain occurred. After this, total CVD events significantly increased in the Q4 INT group, becoming equivalent to those in the CONV group. Longer follow-up is needed to determine whether this trend continues and results in more major CVD events.
EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report
Bottai, Matteo , Tjärnlund, Anna, Santoni, Giola , Pilkington, Clarissa , Visser, Marianne de, Amato, Anthony A. , Barohn, Richard J., Liang, Matthew H. , Singh, Jasvinder A. , Arnardottir, Snjólaug, Chinoy, Hector , Dankó, Katalin , Dimachkie, Mazen M. , Torre, Ignacio García‐De La , Gordon, Patrick , Hayashi, Taichi, Katz, James D. , Kohsaka, Hitoshi, Lachenbruch, Peter A., Lang, Bianca , Olesinka, Marzena, Reed, Ann M. , Rutkowska‐Sak, Lidia , Sanner, Helga , Selva-O’Callaghan, Albert , Vencovský, Jiří , Ytterberg, Steven R. , Miller, Frederick W. , Rider, Lisa G. , Engelen, Baziel G.M. van , Huber, Adam M. , Mohammed, Reem , Singh, Jasvinder A , Vencovsky, Jiri , Mohammed, Reem W , Chinoy, Hector , Selva O'Callaghan, Albert , Werth, Victoria P. , Visser, Marianne de, Alfredsson, Lars , Aggarwal, Rohit , Cooper, Robert G. , Feldman, Brian Michael , Li, Yuhui , Oddis, Chester V. , Song, Yeong Wook , Lundberg, Ingrid E. , García-De La Torre, Ignacio , Dimachkie, Mazen M

RMD Open | November 14, 2017 | Volume: 3 | Issue: 2 | Pages: e000507

10.1136/rmdopen-2017-000507 | PMID 29177080 Get It

Objective To describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups. Methods An international, multidisciplinary group of myositis experts produced a set of 93 potentially relevant variables to be tested for inclusion in the criteria. Rheumatology, dermatology, neurology and paediatric clinics worldwide collected data on 976 IIM cases (74% adults, 26% children) and 624 non-IIM comparator cases with mimicking conditions (82% adults, 18% children). The participating clinicians classified each case as IIM or non-IIM. Generally, the classification of any given patient was based on few variables, leaving remaining variables unmeasured. We investigated the strength of the association between all variables and between these and the disease status as determined by the physician. We considered three approaches: (1) a probability-score approach, (2) a sum-of-items approach criteria and (3) a classification-tree approach. Results The approaches yielded several candidate models that were scrutinised with respect to statistical performance and clinical relevance. The probability-score approach showed superior statistical performance and clinical practicability and was therefore preferred over the others. We developed a classification tree for subclassification of patients with IIM. A calculator for electronic devices, such as computers and smartphones, facilitates the use of the European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria. Conclusions The new EULAR/ACR classification criteria provide a patient’s probability of having IIM for use in clinical and research settings. The probability is based on a score obtained by summing the weights associated with a set of criteria items.