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5374 citation(s) found for "St Louis, E K".

An Athymic Rat Model for Mandibular Osteoradionecrosis Allowing for Direct Translation of Regenerative Treatments
Jackson, Ryan S. , Voss, Stephen G. , Wilson, Zachary C., Remmes, Nicholas B. , Stalboerger, Paul G., Keeney, Michael, Moore, Eric J. , Janus, Jeffrey R. , Keeney, Michael G.

Mayo Clinic

Otolaryngology–Head and Neck Surgery | July 10, 2015 | Volume: 153 | Issue: 4 | Pages: 526-531

10.1177/0194599815593278 | PMID 26163450 Get It

ObjectiveWe aim to create a model of mandibular osteoradionecrosis in athymic rats. Athymic rats provide an immunosuppressed environment whereby human stem cells and biomaterials can be used to investigate regenerative solutions for osteoradionecrosis, bridging the gap between in vivo testing and clinical application.Study DesignProspective animal study.SettingAcademic otolaryngology department laboratory.Subjects and MethodsAfter Institutional Animal Care and Use Committee approval, 10 athymic nude rats were divided into 2 groups. The experimental group (n = 6) underwent irradiation (20 Gy), while the control group (n = 4) underwent sham irradiation catheter placement only. All 10 rats underwent extraction of the second mandibular molar 7 days later. The rats were sacrificed 28 days after dental extraction, and their mandibles were harvested. The mandibles were examined with histologic analysis and bone volume analysis based on 3‐dimensional micro–computed tomography.ResultsAll 10 rats survived the experiment period. Radiographic and histologic analysis revealed decreased bone formation in the experimental group compared with the control group. Jaw region volume ratio was 0.83 for the experimental group versus 0.97 in the control group (P =. 003). The region‐of‐interest volume ratio was 0.75 in the experimental group and 0.97 in the control group (P =. 005). Histologically, there were increased osteoclasts (P =. 02) and decreased osteoblasts (P =. 001) as well as increased fibrosis in the experimental group versus the control group.ConclusionMandibular osteoradionecrosis can be effectively and reproducibly produced in an athymic rat model. This will allow further research to study regenerative medicine in an athymic rat model.
Tumor Cell Adhesion As a Risk Factor for Sentinel Lymph Node Metastasis in Primary Cutaneous Melanoma
Meves, Alexander , Nikolova, Ekaterina , Heim, Joel B. , Squirewell, Edwin J., Cappel, Mark A. , Pittelkow, Mark R. , Otley, Clark C. , Behrendt, Nille, Saunte, Ditte Marie Lindhardt , Lock‐Andersen, Jørgen, Schenck, Louis A., Weaver, Amy L. , Saunte, Ditte M, Suman, Vera J. , Heim, Joel B

Mayo Clinic

Journal of Clinical Oncology | July 7, 2015 | Volume: 33 | Issue: 23 | Pages: 2509-2515

10.1200/jco.2014.60.7002 | PMID 26150443 Get It

Purpose Less than 20% of patients with melanoma who undergo sentinel lymph node (SLN) biopsy based on American Society of Clinical Oncology/Society of Surgical Oncology recommendations are SLN positive. We present a multi-institutional study to discover new molecular risk factors associated with SLN positivity in thin and intermediate-thickness melanoma. Patients and Methods Gene clusters with functional roles in melanoma metastasis were discovered by next-generation sequencing and validated by quantitative polymerase chain reaction using a discovery set of 73 benign nevi, 76 primary cutaneous melanoma, and 11 in-transit melanoma metastases. We then used polymerase chain reaction to quantify gene expression in a model development cohort of 360 consecutive thin and intermediate-thickness melanomas and a validation cohort of 146 melanomas. Outcome of interest was SLN biopsy metastasis within 90 days of melanoma diagnosis. Logic and logistic regression analyses were used to develop a model for the likelihood of SLN metastasis from molecular, clinical, and histologic variables. Results ITGB3, LAMB1, PLAT, and TP53 expression were associated with SLN metastasis. The predictive ability of a model that included these molecular variables in combination with clinicopathologic variables (patient age, Breslow depth, and tumor ulceration) was significantly greater than a model that only considered clinicopathologic variables and also performed well in the validation cohort (area under the curve, 0.93; 95% CI, 0.87 to 0.97; false-positive and false-negative rates of 22% and 0%, respectively, using a 10% cutoff for predicted SLN metastasis risk). Conclusion The addition of cell adhesion–linked gene expression variables to clinicopathologic variables improves the identification of patients with SLN metastases within 90 days of melanoma diagnosis.
Imaging evaluation of treated benign bone tumours
Dobson, Michael A., McDonald, Douglas J. , Wessell, Daniel E. , Friedman, Michael

Mayo Clinic

Journal of Medical Imaging and Radiation Oncology | June 25, 2015 | Volume: 59 | Issue: 5 | Pages: 599-604

10.1111/1754-9485.12329 | PMID 26108970 Get It

SummaryA number of benign bone tumours can be treated with curettage and packing with either bone cement or graft. It is essential that the radiologist be familiar with both the normal and abnormal post‐operative imaging appearance of these treated tumours. Through the use of numerous imaging examples, we aim to provide a pictorial review of the expected post‐operative appearance of benign bone tumours treated with curettage and packing, as well as the imaging features of recurrence, the most common potential complication.
Memory, executive, and multidomain subtle cognitive impairment
Toledo, Jon B. , Bjerke, Maria , Rozycki, Martin, Jack, Clifford R. , Weiner, Michael W. , Arnold, Steven E. , Reiman, Eric M. , Davatzikos, Christos , Shaw, Leslie M. , Trojanowski, John Q. , Initiative, For the Alzheimer's Disease Neuroimaging, Weiner, Michael, Aisen, Paul , Weiner, Michael, Petersen, Ronald, Jagust, William, Trojanowki, John Q., Green, Robert C., Saykin, Andrew J., Liu, Enchi , Green, Robert C., Montine, Tom, Petersen, Ronald, Gamst, Anthony, Thomas, Ronald G. , Walter, Sarah , Gessert, Devon, Sather, Tamie, Kornak, John , Felmlee, Joel P. , Schuff, Norbert, Alexander, Gene E. , DeCarli, Charles, Jagust, William, Bandy, Dan, Foster, Norm, Reiman, Eric M., Mathis, Chet, Cairns, Nigel J. , Taylor‐Reinwald, Lisa, Shaw, Les, Korecka, Magdalena , Crawford, Karen , Neu, Scott, Potkin, Steven, Kachaturian, Zaven, Frank, Richard , Molchan, Susan, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Heidebrink, Judith L. , Petersen, Ronald, Johnson, Kris , Doody, Rachelle S., Chowdhury, Munir , Bell, Karen L. , Leon, Sue, 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, R. Edward, Arnold, Steven E., Karlawish, Jason , Smith, Charles D., Jicha, Gregory A. , Hardy, Peter , 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, Weiner, Myron, 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 , Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles , Munic, Donna, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang‐Kuo, Johnson, Nancy , Sadowsky, Carl, Villena, Teresa, Johnson, Kathleen, Reynolds, Brigid, Johnson, Keith A. , Marshall, Gad A. , Frey, Meghan , Yesavage, Jerome A. , Taylor, Joy L. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Sabbagh, Marwan N. , 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, Dr Rob, 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, Saykin, Andrew J., 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, Rogers, John, Kertesz, Andrew, Drost, Dick, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K. , Ponto, Laura L. Boles , Shim, Hyungsub , Smith, Karen E. , Relkin, Norman , Chaing, Gloria, Raudin, Lisa, Smith, Amanda , Fargher, Kristin, Raj, Balebail Ashok, Chen, Kewei , Initiative, For the Alzheimer's Disease Neuroimaging, Weiner, Michael, Weiner, Michael, Petersen, Ronald, Jagust, William, Toga, Arthur W. , Beckett, Laurel , Green, Robert C., Saykin, Andrew J., Morris, John C. , Green, Robert C., Petersen, Ronald, Donohue, Michael , Harvey, Danielle , Dale, Anders M. , Bernstein, Matt A. , Fox, Nick C. , Thompson, Paul M. , Jagust, William, Koeppe, Robert A. , Foster, Norm, Reiman, Eric M., Mathis, Chet, Lee, Virginia M.‐Y. , Saykin, Andrew J. , Foroud, Tatiana , Shen, Li , Snyder, Peter J. , Kaye, Jeffrey , Lord, Joanne L. , Petersen, Ronald, Villanueva-Meyer, Javier E. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Shah, Raj C. , Duara, Ranjan , Varón, Daniel , Rusinek, Henry , Leon, Mony J. de , Arnold, Steven E., Wolk, David A. , López, Oscar L. , Porsteinsson, Anton P. , Womack, Kyle , Diaz‐Arrastia, Ramon , Levey, Allan I. , Lah, James J. , Burns, Jeffrey M. , Silverman, Daniel H.S. , Johnson, Heather K. , Black, Sandra E. , Stefanovic, Bojana , Feldman, Howard , Kertesz, Andrew, Rogers, John, Kerwin, Diana , Martínez, Walter Fabián , Turner, Raymond Scott , Sperling, Reisa Anne , Killiany, Ronald , Norbash, Alexander , Obisesan, Thomas O. , Carmichael, Owen , Johnson, Sterling C. , Carlsson, Cynthia M. , Potkin, Steven G. , Nguyen, Dana R. , Reeder, Stephanie, Scharre, Douglas W. , Pearlson, Godfrey D. , Saykin, Andrew J., Sink, Kaycee M. , Miller, Bruce L. , Finger, Elizabeth C. , Rogers, John, Kertesz, Andrew, Jack, Clifford R , Preda, Adrian , Hsiung, Gink-Yuek , Jicha, Gregory A

Mayo Clinic

Neurology | June 18, 2015 | Volume: 85 | Issue: 2 | Pages: 144-153

10.1212/wnl.0000000000001738 | PMID 26085606 Get It

2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
Weiner, Michael W. , Veitch, Dallas P. , Aisen, Paul, Cairns, Nigel J. , Cedarbaum, Jesse M. , Harvey, Danielle , Jagust, William J. , Luthman, Johan, Morris, John C. , Petersen, Ronald C. , Saykin, Andrew J. , Shaw, Leslie M. , Shen, Li , Schwarz, Adam J. , Trojanowski, John Q. , Initiative, Alzheimer's Disease Neuroimaging, Beckett, Laurel , Green, Robert C. , Jack, Clifford R. , Toga, Arthur W. , Initiative, Alzheimer's Disease Neuroimaging, Saykin, Andrew J , Shen, Li , Morris, John C , Harvey, Danielle J

Mayo Clinic

Alzheimer's & Dementia | June 12, 2015 | Volume: 11 | Issue: 6 | Pages: No page available

10.1016/j.jalz.2014.11.001 | PMID 26073027 Get It

Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing, longitudinal, multicenter study designed to develop clinical, imaging, genetic, and biochemical biomarkers for the early detection and tracking of Alzheimer's disease (AD). The initial study, ADNI‐1, enrolled 400 subjects with early mild cognitive impairment (MCI), 200 with early AD, and 200 cognitively normal elderly controls. ADNI‐1 was extended by a 2‐year Grand Opportunities grant in 2009 and by a competitive renewal, ADNI‐2, which enrolled an additional 550 participants and will run until 2015. This article reviews all papers published since the inception of the initiative and summarizes the results to the end of 2013. The major accomplishments of ADNI have been as follows: (1) the development of standardized methods for clinical tests, magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebrospinal fluid (CSF) biomarkers in a multicenter setting; (2) elucidation of the patterns and rates of change of imaging and CSF biomarker measurements in control subjects, MCI patients, and AD patients. CSF biomarkers are largely consistent with disease trajectories predicted by β‐amyloid cascade (Hardy, J Alzheimer's Dis 2006;9(Suppl 3):151–3) and tau‐mediated neurodegeneration hypotheses for AD, whereas brain atrophy and hypometabolism levels show predicted patterns but exhibit differing rates of change depending on region and disease severity; (3) the assessment of alternative methods of diagnostic categorization. Currently, the best classifiers select and combine optimum features from multiple modalities, including MRI, [ 18 F]‐fluorodeoxyglucose‐PET, amyloid PET, CSF biomarkers, and clinical tests; (4) the development of blood biomarkers for AD as potentially noninvasive and low‐cost alternatives to CSF biomarkers for AD diagnosis and the assessment of α‐syn as an additional biomarker; (5) the development of methods for the early detection of AD. CSF biomarkers, β‐amyloid 42 and tau, as well as amyloid PET may reflect the earliest steps in AD pathology in mildly symptomatic or even nonsymptomatic subjects and are leading candidates for the detection of AD in its preclinical stages; (6) the improvement of clinical trial efficiency through the identification of subjects most likely to undergo imminent future clinical decline and the use of more sensitive outcome measures to reduce sample sizes. Multimodal methods incorporating APOE status and longitudinal MRI proved most highly predictive of future decline. Refinements of clinical tests used as outcome measures such as clinical dementia rating‐sum of boxes further reduced sample sizes; (7) the pioneering of genome‐wide association studies that leverage quantitative imaging and biomarker phenotypes, including longitudinal data, to confirm recently identified loci, CR1, CLU , and PICALM and to identify novel AD risk loci; (8) worldwide impact through the establishment of ADNI‐like programs in Japan, Australia, Argentina, Taiwan, China, Korea, Europe, and Italy; (9) understanding the biology and pathobiology of normal aging, MCI, and AD through integration of ADNI biomarker and clinical data to stimulate research that will resolve controversies about competing hypotheses on the etiopathogenesis of AD, thereby advancing efforts to find disease‐modifying drugs for AD; and (10) the establishment of infrastructure to allow sharing of all raw and processed data without embargo to interested scientific investigators throughout the world.
Randomized Phase III Trial of Paclitaxel Once Per Week Compared With Nanoparticle Albumin-Bound Nab-Paclitaxel Once Per Week or Ixabepilone With Bevacizumab As First-Line Chemotherapy for Locally Recurrent or Metastatic Breast Cancer: CALGB 40502/NCCTG N06
Barry, William T., Moreno‐Aspitia, Alvaro , Lyss, Alan P., Cirrincione, Constance, Leung, Eleanor H., Toppmeyer, Deborah , Perez, Edith A. , Hudis, Clifford A. , Leung, Eleanor, Mayer, Erica L. , Naughton, Michael, Carey, Lisa A. , Hudis, Clifford, Rugo, Hope S. , Naughton, Michael J. , Winer, Eric P.

Mayo Clinic

Journal of Clinical Oncology | June 10, 2015 | Volume: 33 | Issue: 21 | Pages: 2361-2369

10.1200/jco.2014.59.5298 | PMID 26056183 Get It

PurposeWe compared nab-paclitaxel or ixabepilone once per week to paclitaxel with bevacizumab as first-line therapy for patients with advanced breast cancer (BC) to evaluate progression-free survival (PFS) for nab-paclitaxel or ixabepilone versus paclitaxel.Patients and MethodsEligible patients were age ≥ 18 years with chemotherapy-naive advanced BC. Patients were randomly assigned to bevacizumab with paclitaxel 90 mg/m2(arm A), nab-paclitaxel 150 mg/m2(arm B), or ixabepilone 16 mg/m2(arm C), once per week for 3 of 4 weeks. Planned enrollment was 900 patients, which would give 88% power to detect a hazard ratio of 0.73.ResultsIn all, 799 patients were enrolled, and 783 received treatment (97% received bevacizumab). Arm C was closed for futility at the first interim analysis (n = 241), and arm A (n = 267) and arm B (n = 275) were closed for futility at the second interim analysis. Median PFS for paclitaxel was 11 months, ixabepilone was inferior to paclitaxel (PFS, 7.4 months; hazard ratio, 1.59; 95% CI, 1.31 to 1.93; P < .001), and nab-paclitaxel was not superior to paclitaxel (PFS, 9.3 months; hazard ratio, 1.20; 95% CI, 1.00 to 1.45; P = .054). Results were concordant with overall survival; time to treatment failure was significantly shorter in both experimental arms v paclitaxel. Hematologic and nonhematologic toxicity, including peripheral neuropathy, was increased with nab-paclitaxel, with more frequent and earlier dose reductions.ConclusionIn patients with chemotherapy-naive advanced BC, ixabepilone once per week was inferior to paclitaxel, and nab-paclitaxel was not superior with a trend toward inferiority. Toxicity was increased in the experimental arms, particularly for nab-paclitaxel. Paclitaxel once per week remains the preferred palliative chemotherapy in this setting.
Relief and Recurrence of Congestion During and After Hospitalization for Acute Heart Failure
Lala, Anuradha , McNulty, Steven E., Mentz, Robert J. , AbouEzzeddine, Omar F. , DeVore, Adam D. , Khazanie, Prateeti , Redfield, Margaret M. , Goldsmith, Steven R., Bart, Bradley A. , Anstrom, Kevin J. , Felker, G. Michael , Hernandez, Adrian F. , Stevenson, Lynne W. , Dunlay, Shannon M. , Vader, Justin M, Vader, Justin M. , Hernandez, Adrian , Mentz, Robert J , AbouEzzeddine, Omar F

Mayo Clinic

Circulation: Heart Failure | June 4, 2015 | Volume: 8 | Issue: 4 | Pages: 741-748

10.1161/circheartfailure.114.001957 | PMID 26041600 Get It

Background— Congestion is the most frequent cause for hospitalization in acute decompensated heart failure. Although decongestion is a major goal of acute therapy, it is unclear how the clinical components of congestion (eg, peripheral edema, orthopnea) contribute to outcomes after discharge or how well decongestion is maintained. Methods and Results— A post hoc analysis was performed of 496 patients enrolled in the Diuretic Optimization Strategy Evaluation in Acute Decompensated Heart Failure (DOSE-AHF) and Cardiorenal Rescue Study in Acute Decompensated Heart Failure (CARRESS-HF) trials during hospitalization with acute decompensated heart failure and clinical congestion. A simple orthodema congestion score was generated based on symptoms of orthopnea (≥2 pillows=2 points, <2 pillows=0 points) and peripheral edema (trace=0 points, moderate=1 point, severe=2 points) at baseline, discharge, and 60-day follow-up. Orthodema scores were classified as absent (score of 0), low-grade (score of 1–2), and high-grade (score of 3–4), and the association with death, rehospitalization, or unscheduled medical visits through 60 days was assessed. At baseline, 65% of patients had high-grade orthodema and 35% had low-grade orthodema. At discharge, 52% patients were free from orthodema at discharge (score=0) and these patients had lower 60-day rates of death, rehospitalization, or unscheduled visits (50%) compared with those with low-grade or high-grade orthodema (52% and 68%, respectively; P =0.038). Of the patients without orthodema at discharge, 27% relapsed to low-grade orthodema and 38% to high-grade orthodema at 60-day follow-up. Conclusions— Increased severity of congestion by a simple orthodema assessment is associated with increased morbidity and mortality. Despite intent to relieve congestion, current therapy often fails to relieve orthodema during hospitalization or to prevent recurrence after discharge. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifiers: NCT00608491, NCT00577135.
Clinical and demographic characteristics predictive of treatment outcomes for certolizumab pegol in moderate to severe Crohn's disease: analyses from the 7‐year PRECiSE 3 study
Sandborn, William J. , Melmed, Gil , Loftus, Edward V. , Cho, J.‐H. , Abraham, Bincy , Lichtenstein, Gary R. , Lee, S. D., Randall, Charles , Regueiro, Miguel, Spearman, Marshall, Kosutic, Gordana, Pierre‐Louis, Bosny, Coarse, Jason, McGovern, Dermot , Choi, J. M., Gutiérrez, Ana , Schwartz, David A. , Siegel, Corey A , Schreiber, Stefan , Loftus, Edward V , Melmed, Gil Y

Mayo Clinic

Alimentary Pharmacology & Therapeutics | June 1, 2015 | Volume: 42 | Issue: 3 | Pages: 330-342

10.1111/apt.13251 | PMID 26031921 Get It

SUMMARYBackgroundClinical factors were previously identified as predictors of short‐term treatment efficacy in Crohn's disease (CD). The PRECiSE 3 (P3) 7‐year trial provides an opportunity to study predictors of short‐ and long‐term clinical remission among CD patients treated with certolizumab pegol (CZP).AimTo identify factors that influence long‐term remission of CD with CZP treatment.MethodsPatients who had completed placebo‐controlled studies (PRECiSE 1/PRECiSE 2, P1/P2) enrolled in P3 and received open‐label CZP 400 mg every 4 weeks up to 7 years. Baseline predictors included, but were not limited to, smoking status, disease duration, prior inflammatory bowel disease (IBD) surgery, Harvey–Bradshaw Index (HBI), albumin, haematocrit and CZP exposure; association with time to initial remission (HBI ≤4) was tested for patients who received CZP in P1/P2; time to loss of remission/frequency of maintenance of remission was also tested. Univariate analyses and multivariate Cox or logistic regression models were used.ResultsPredictors for initial remission (N = 377) included age, haematocrit, prior IBD surgery and entry HBI (P < 0.05 for all). Predictors for loss of remission (N = 437) included HBI, serum albumin concentration, haematocrit, smoking status and exposure. Predictors of maintenance of remission (N = 437) included haematocrit, IBD surgery, HBI, disease duration, serum albumin concentration and exposure. Significant predictors were confirmed with stepwise multivariate regression models.ConclusionsThese analyses identified several influential parameters for short‐and long‐term remission of Crohn's disease with certolizumab pegol treatment. The data yield valuable hypotheses regarding factors that influence certolizumab pegol treatment. More investigation is needed.(ClinicalTrials.gov identifier NCT00552058).
Triglyceride High-Density Lipoprotein Ratios Predict Glycemia-Lowering in Response to Insulin Sensitizing Drugs in Type 2 Diabetes: A Post Hoc Analysis of the BARI 2D
Zonszein, Joel , Lombardero, M. , Ismail‐Beigi, Faramarz , Foucher, Suzy, Groenewoud, Yolanda, Cushing, Gary W., Wajchenberg, B L, Genuth, Saul, Group, BARI 2D Study, Palumbo, Pasquale, Palumbo, Pasquale J , Group, BARI 2D Study

Mayo Clinic

Journal of Diabetes Research | May 28, 2015 | Volume: 2015 | Issue: No issue available | Pages: 1-12

10.1155/2015/129891 | PMID 26106623 Get It

Glycemic management is central in prevention of small vessel and cardiovascular complications in type 2 diabetes. With the plethora of newer medications and recommendations for a patient centered approach, more information is necessary to match the proper drug to each patient. We showed that BARI 2D, a five-year trial designed to compare two different glycemic treatment strategies, was suitable for assessing different responses according to different phenotypic characteristics. Treatment with insulin sensitizing medications such as thiazolidinediones and metformin was more effective in improving glycemic control, particularly in the more insulin resistant patient, when compared to the insulin provision strategy using insulin and or sulfonylureas. Triglyceride and high density lipoprotein ratio (TG/HDL-cholesterol ratio) was found to be a readily available and practical biomarker that helps to identify the insulin resistant patient. These results support the concept that not all medications for glycemic control work the same in all patients. Thus, tailored therapy can be done using phenotypic characteristics rather than a “one-size-fits-all approach.”