14 results on '"Weilburg, Jeffrey B."'
Search Results
2. Association of Self-reported Primary Care Physician Tolerance for Uncertainty With Variations in Resource Use and Patient Experience
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Begin, Arabella S., primary, Hidrue, Michael K., additional, Lehrhoff, Sara, additional, Lennes, Inga T., additional, Armstrong, Katrina, additional, Weilburg, Jeffrey B., additional, del Carmen, Marcela G., additional, and Wasfy, Jason H., additional
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- 2022
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3. QT interval and antidepressant use: a cross sectional study of electronic health records
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Castro, Victor M, Clements, Caitlin C, Murphy, Shawn N, Gainer, Vivian S, Fava, Maurizio, Weilburg, Jeffrey B, Erb, Jane L, Churchill, Susanne E, Kohane, Isaac S, Vlosifescu, Dan, Smoller, Jordan W, and Perlis, Roy H
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- 2013
4. Treatment of Cardiac Risk Factors Among Patients With Schizophrenia and Diabetes
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Weiss, Anthony P., Henderson, David C., Weilburg, Jeffrey B., Goff, Donald C., Meigs, James B., Cagliero, Enrico, and Grant, Richard W.
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- 2006
5. Behavioral Health Factors as Predictors of Emergency Department Use in the High-Risk, High-Cost Medicare Population
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Weilburg, Jeffrey B., primary, Wong, Hannah J., additional, Sistrom, Chris L., additional, Benzer, Theodore I., additional, Taylor, John B., additional, Rockett, Helaine, additional, Neagle, Mary, additional, and Herman, John B., additional
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- 2018
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6. Variation in the Echocardiographic Surveillance of Primary Mitral Regurgitation
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Tanguturi, Varsha K., primary, Hidrue, Michael K., additional, Picard, Michael H., additional, Atlas, Steven J., additional, Weilburg, Jeffrey B., additional, Ferris, Timothy G., additional, Armstrong, Katrina, additional, and Wasfy, Jason H., additional
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- 2017
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7. Genetic Differences in the Immediate Transcriptome Response to Stress Predict Risk-Related Brain Function and Psychiatric Disorders
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Arloth, Janine, Bogdan, Ryan, Altmann, Andre, Lawson, William B, Lewis, Glyn, MacIntyre, Donald, Maier, Wolfgang, Mattheisen, Manuel, McGrath, Patrick J, McIntosh, Andrew, McLean, Alan, Middeldorp, Christel M, Middleton, Lefkos, Trümbach, Dietrich, Montgomery, Grant M, Murphy, Shawn N, Nauck, Matthias, Nolen, Willem A, Nyholt, Dale R, O'Donovan, Michael, Oskarsson, Högni, Pedersen, Nancy, Scheftner, William A, Schulz, Andrea, Wurst, Wolfgang, Schulze, Thomas G, Shyn, Stanley I, Sigurdsson, Engilbert, Slager, Susan L, Smit, Johannes H, Stefansson, Hreinn, Steffens, Michael, Thorgeirsson, Thorgeir, Tozzi, Federica, Treutlein, Jens, Mehta, Divya, Uhr, Manfred, van den Oord, Edwin J C G, Van Grootheest, Gerard, Völzke, Henry, Weilburg, Jeffrey B, Willemsen, Gonneke, Zitman, Frans G, Neale, Benjamin, Daly, Mark, Levinson, Douglas F, Sullivan, Patrick F, Klengel, Torsten, Erhardt, Angelika, Carey, Caitlin E, Conley, Emily Drabant, Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Weber, Peter, Ruepp, Andreas, Müller-Myhsok, Bertram, Hariri, Ahmad R, Binder, Elisabeth B, PGC, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, Stephan, Wray, Naomi R, Lewis, Cathryn M, Hamilton, Steven P, Weissman, Myrna M, Frishman, Goar, Breen, Gerome, Byrne, Enda M, Blackwood, Douglas H R, Boomsma, Dorret I, Cichon, Sven, Heath, Andrew C, Holsboer, Florian, Lucae, Susanne, Madden, Pamela A F, Martin, Nicholas G, Menke, Andreas, McGuffin, Peter, Muglia, Pierandrea, Noethen, Markus M, Penninx, Brenda P, Pergadia, Michele L, Potash, James B, Rietschel, Marcella, Lin, Danyu, Shi, Jianxin, Wagner, Klaus V, Steinberg, Stacy, Grabe, Hans J, Lichtenstein, Paul, Magnusson, Patrik, Perlis, Roy H, Preisig, Martin, Smoller, Jordan W, Stefansson, Kari, Uher, Rudolf, Kutalik, Zoltan, Balsevich, Georgia, Tansey, Katherine E, Teumer, Alexander, Viktorin, Alexander, Barnes, Michael R, Bettecken, Thomas, Breuer, René, Castro, Victor M, Churchill, Susanne E, Coryell, William H, Schmidt, Mathias V, Craddock, Nick, Craig, Ian W, Czamara, Darina, De Geus, Eco J, Degenhardt, Franziska, Farmer, Anne E, Fava, Maurizio, Frank, Josef, Gainer, Vivian S, Gallagher, Patience J, Karbalai, Nazanin, Gordon, Scott D, Goryachev, Sergey, Gross, Magdalena, Guipponi, Michel, Henders, Anjali K, Herms, Stefan, Hickie, Ian B, Hoefels, Susanne, Hoogendijk, Witte, Hottenga, Jouke Jan, Iosifescu, Dan V, Ising, Marcus, Jones, Ian, Jones, Lisa, Jung-Ying, Tzeng, Knowles, James A, Kohane, Isaac S, Kohli, Martin A, Korszun, Ania, Landen, Mikael, Psychiatry, NCA - Neurobiology of mental health, Molecular Microbiology, Biological Psychology, and Neuroscience Campus Amsterdam - Neurobiology of Mental Health
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Male ,Netherlands Twin Register (NTR) ,genetics [Transcriptome] ,Genome-wide association study ,genetics [Stress, Psychological] ,Disease ,genetics [Mental Disorders] ,Transcriptome ,Cohort Studies ,Mice ,0302 clinical medicine ,Glucocorticoid receptor ,Risk Factors ,Gene Regulatory Networks ,0303 health sciences ,General Neuroscience ,Mental Disorders ,Brain ,genetics [Genetic Variation] ,Schizophrenia ,genetics [Gene Regulatory Networks] ,genetics [Polymorphism, Single Nucleotide] ,medicine.medical_specialty ,Neuroscience(all) ,BF ,diagnosis [Mental Disorders] ,Biology ,Polymorphism, Single Nucleotide ,Article ,03 medical and health sciences ,physiology [Brain] ,SDG 3 - Good Health and Well-being ,Genetic variation ,medicine ,Animals ,Humans ,ddc:610 ,Psychiatry ,030304 developmental biology ,Mechanism (biology) ,Genetic Variation ,medicine.disease ,diagnosis [Stress, Psychological] ,Mice, Inbred C57BL ,Endophenotype ,RC0321 ,030217 neurology & neurosurgery ,Stress, Psychological ,Forecasting - Abstract
Summary Depression risk is exacerbated by genetic factors and stress exposure; however, the biological mechanisms through which these factors interact to confer depression risk are poorly understood. One putative biological mechanism implicates variability in the ability of cortisol, released in response to stress, to trigger a cascade of adaptive genomic and non-genomic processes through glucocorticoid receptor (GR) activation. Here, we demonstrate that common genetic variants in long-range enhancer elements modulate the immediate transcriptional response to GR activation in human blood cells. These functional genetic variants increase risk for depression and co-heritable psychiatric disorders. Moreover, these risk variants are associated with inappropriate amygdala reactivity, a transdiagnostic psychiatric endophenotype and an important stress hormone response trigger. Network modeling and animal experiments suggest that these genetic differences in GR-induced transcriptional activation may mediate the risk for depression and other psychiatric disorders by altering a network of functionally related stress-sensitive genes in blood and brain. Video Abstract, Highlights • SNPs in long-range enhancers alter the transcriptional response of GR target genes • These functional SNPs predict risk for psychiatric but not other medical disorders • These variants are associated with differential neural circuit responses to threat • GR transcripts are strongly co-expressed and regulated in the brain of animal models, Using a stimulated eQTL approach, Arloth et al. show that common genetic variants that alter the initial transcriptome response to stress hormone receptor activation also cumulatively increase the risk for stress-related psychiatric disorders and predict a threat response from the amygdala.
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- 2015
8. HEDIS Antidepressant Measures Biased by 2013 Revision
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Hong, Kyungwan, primary, Low, Greg, additional, and Weilburg, Jeffrey B., additional
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- 2015
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9. Incident user cohort study of risk for gastrointestinal bleed and stroke in individuals with major depressive disorder treated with antidepressants
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Castro, Victor M, primary, Gallagher, Patience J, additional, Clements, Caitlin C, additional, Murphy, Shawn N, additional, Gainer, Vivian S, additional, Fava, Maurizio, additional, Weilburg, Jeffrey B, additional, Churchill, Susanne E, additional, Kohane, Isaac S, additional, Iosifescu, Dan V, additional, Smoller, Jordan W, additional, and Perlis, Roy H, additional
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- 2012
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10. Evaluation of the Adequacy of Outpatient Antidepressant Treatment
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Weilburg, Jeffrey B., primary, O'Leary, Kathleen M., additional, Meigs, James B., additional, Hennen, John, additional, and Stafford, Randall S., additional
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- 2003
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11. Impact of Increasing Regimen Complexity on Hypoglycemic Medication Adherence.
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Grant, Richard W., O'Leary, Kathleen M., Weilburg, Jeffrey B., and Meigs, James B.
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DRUG administration ,HYPOGLYCEMIC agents ,TREATMENT of diabetes ,TYPE 2 diabetes ,PEOPLE with diabetes ,DRUG dosage - Abstract
Effective glycemic control in type 2 diabetes generally requires addition of 2[sup nd] and 3[sup rd] agents over time to the initially-prescribed hypoglycemic medicine. However, increasing regimen complexity may have a negative impact on medication adherence. We examined medication adherence according to the number of concurrently prescribed hypoglycemic medicines. We identified a cohort of 3082 commercially-insured type 2 diabetes patients receiving primary care within our health care network. We calculated quarterly medication adherence for each prescribed oral hypoglycemic agent using pharmacy claim refills from 01/01/04 to 12/31/05. Adherence was calculated as the % days with available pills per 90-day Interval. For patients on more than one oral hypoglycemic agent, we calculated their mean adherence to all concurrently prescribed hypoglycemic medicines. Insulins were excluded from these calculations. After excluding patients with no pharmacy claim refills during the study period, there were 1813 patients for analysis. Patients had mean age 54.5 ± 9.8 years, 57% were men, and the mean enrollment period was 18 ± 8 months. Within this cohort, 56% patients were on one, 34% on two, and 10% on three or more oral hypoglycemic medicines for at least one 90-day adherence interval. The figure shows the average per-patient adherence for all hypoglycemic medicines by quarter of study enrollment, for intervals that patients were on 1, 2, or 3 hypoglycemic drugs. Adherence was significantly higher among patients taking 3 drugs vs. 1 or 2 drugs (P < 0.02). In a cohort of insured primary care patients, the overall adherence to hypoglycemic medicines was consistently higher in quarters that patients were prescribed 3 hypoglycemic drugs compared to quarters during which 1 or 2 hypoglycemic drugs were prescribed. ADA-Funded Research [ABSTRACT FROM AUTHOR]
- Published
- 2007
12. A mega-analysis of genome-wide association studies for major depressive disorder.
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Ripke S, Wray NR, Lewis CM, Hamilton SP, Weissman MM, Breen G, Byrne EM, Blackwood DH, Boomsma DI, Cichon S, Heath AC, Holsboer F, Lucae S, Madden PA, Martin NG, McGuffin P, Muglia P, Noethen MM, Penninx BP, Pergadia ML, Potash JB, Rietschel M, Lin D, Müller-Myhsok B, Shi J, Steinberg S, Grabe HJ, Lichtenstein P, Magnusson P, Perlis RH, Preisig M, Smoller JW, Stefansson K, Uher R, Kutalik Z, Tansey KE, Teumer A, Viktorin A, Barnes MR, Bettecken T, Binder EB, Breuer R, Castro VM, Churchill SE, Coryell WH, Craddock N, Craig IW, Czamara D, De Geus EJ, Degenhardt F, Farmer AE, Fava M, Frank J, Gainer VS, Gallagher PJ, Gordon SD, Goryachev S, Gross M, Guipponi M, Henders AK, Herms S, Hickie IB, Hoefels S, Hoogendijk W, Hottenga JJ, Iosifescu DV, Ising M, Jones I, Jones L, Jung-Ying T, Knowles JA, Kohane IS, Kohli MA, Korszun A, Landen M, Lawson WB, Lewis G, Macintyre D, Maier W, Mattheisen M, McGrath PJ, McIntosh A, McLean A, Middeldorp CM, Middleton L, Montgomery GM, Murphy SN, Nauck M, Nolen WA, Nyholt DR, O'Donovan M, Oskarsson H, Pedersen N, Scheftner WA, Schulz A, Schulze TG, Shyn SI, Sigurdsson E, Slager SL, Smit JH, Stefansson H, Steffens M, Thorgeirsson T, Tozzi F, Treutlein J, Uhr M, van den Oord EJ, Van Grootheest G, Völzke H, Weilburg JB, Willemsen G, Zitman FG, Neale B, Daly M, Levinson DF, and Sullivan PF
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- Bipolar Disorder genetics, Case-Control Studies, Female, Humans, Male, Polymorphism, Single Nucleotide genetics, White People genetics, Depressive Disorder, Major genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study statistics & numerical data
- Abstract
Prior genome-wide association studies (GWAS) of major depressive disorder (MDD) have met with limited success. We sought to increase statistical power to detect disease loci by conducting a GWAS mega-analysis for MDD. In the MDD discovery phase, we analyzed more than 1.2 million autosomal and X chromosome single-nucleotide polymorphisms (SNPs) in 18 759 independent and unrelated subjects of recent European ancestry (9240 MDD cases and 9519 controls). In the MDD replication phase, we evaluated 554 SNPs in independent samples (6783 MDD cases and 50 695 controls). We also conducted a cross-disorder meta-analysis using 819 autosomal SNPs with P<0.0001 for either MDD or the Psychiatric GWAS Consortium bipolar disorder (BIP) mega-analysis (9238 MDD cases/8039 controls and 6998 BIP cases/7775 controls). No SNPs achieved genome-wide significance in the MDD discovery phase, the MDD replication phase or in pre-planned secondary analyses (by sex, recurrent MDD, recurrent early-onset MDD, age of onset, pre-pubertal onset MDD or typical-like MDD from a latent class analyses of the MDD criteria). In the MDD-bipolar cross-disorder analysis, 15 SNPs exceeded genome-wide significance (P<5 × 10(-8)), and all were in a 248 kb interval of high LD on 3p21.1 (chr3:52 425 083-53 822 102, minimum P=5.9 × 10(-9) at rs2535629). Although this is the largest genome-wide analysis of MDD yet conducted, its high prevalence means that the sample is still underpowered to detect genetic effects typical for complex traits. Therefore, we were unable to identify robust and replicable findings. We discuss what this means for genetic research for MDD. The 3p21.1 MDD-BIP finding should be interpreted with caution as the most significant SNP did not replicate in MDD samples, and genotyping in independent samples will be needed to resolve its status.
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- 2013
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13. Determinants of diagnostic imaging utilization in primary care.
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Sistrom C, McKay NL, Weilburg JB, Atlas SJ, and Ferris TG
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- Chronic Disease, Cohort Studies, Databases, Factual, Drug Therapy, Electronic Health Records statistics & numerical data, Group Practice statistics & numerical data, Humans, Massachusetts, Medicine, Patients statistics & numerical data, Retrospective Studies, Diagnostic Imaging statistics & numerical data, Primary Health Care statistics & numerical data
- Abstract
Objectives: To examine patient and physician factors affecting utilization of diagnostic imaging in primary care., Data Sources/study Setting: Patient-level data from a large academic group practice over the period July 1, 2007, through June 30, 2009., Study Design: This is a retrospective cohort study of 85,277 patients cared for by 148 primary care physicians (PCPs). The dependent variable is the number of outpatient imaging exams ordered by each patient's PCP over the study period. Independent variables include 17 patient factors describing both clinical need and demographic characteristics and 7 physician factors., Data Collection: Data were collected from the electronic medical record and associated administrative databases., Principal Findings: Patient factors having a statistically significant effect on both the probability race, more than 10 medications, congestive heart failure, diabetes, hypertension, other problems, visits to the PCP, visits to specialists, and imaging exams ordered by specialists. For physician factors, experience, gender, and having another degree were statistically significant in both portions of the model., Conclusions: Both patient and physician factors have a substantial effect on primary care outpatient diagnostic imaging utilization. Several of these significantly influence both the probability that any images will be ordered and the intensity (number) of imaging.
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- 2012
14. Costs of antidepressant medications associated with inadequate treatment.
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Weilburg JB, Stafford RS, O'Leary KM, Meigs JB, and Finkelstein SN
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- Antidepressive Agents administration & dosage, Health Maintenance Organizations, Health Services Research, Humans, Retrospective Studies, Treatment Outcome, United States, Antidepressive Agents economics, Depression drug therapy, Drug Costs
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Objective: To determine the costs of antidepressant medications used during inadequate treatment., Study Design: Retrospective database analysis of pharmacy claims made by patients who were treated under routine clinical conditions from July 1, 1999, through September 30, 2002., Patients and Methods: Our participants included 21,632 patients enrolled in a commercial HMO who had a primary care physician associated with our healthcare system. Patients never receiving at least a minimum likely effective antidepressant dose for at least 90 days were defined as having inadequate treatment. This study calculated the costs of antidepressants involved with inadequate treatment at the level of the patient and the medication trial., Results: A majority of patients (51%) received inadequate treatment. Of overall antidepressant costs, 16% were incurred during trials for patients never adequately treated. The majority of inadequate trials were short and unlikely to have been effective. Most patients (64%) had only a single trial of antidepressants. Venlafaxine, fluoxetine, and sertraline had significantly lower first-trial inadequacy rates compared with the most commonly prescribed agent, citalopram., Conclusions: Improved patient care quality and lower antidepressant costs could result if clinicians and healthcare systems focus on reducing short trial rates. Initiating treatment with agents least likely to be discontinued prematurely may be helpful.
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- 2004
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