David Cohen

Bio: David Cohen is an academic researcher from Pierre-and-Marie-Curie University. The author has contributed to research in topics: Medicine & Autism. The author has an hindex of 83, co-authored 635 publications receiving 37722 citations. Previous affiliations of David Cohen include University of California, Berkeley & University of Michigan.

Psychotropic treatments in Prader-Willi syndrome: a critical review of published literature.

Abstract: Prader-Willi syndrome (PWS) is a rare genetic syndrome. The phenotype includes moderate to intellectual disability, dysmorphia, obesity, and behavioral disturbances (e.g., hetero and self-injurious behaviors, hyperphagia, psychosis). Psychotropic medications are widely prescribed in PWS for symptomatic control. We conducted a systematic review of published literature to examine psychotropic medications used in PWS. MEDLINE was searched to identify articles published between January 1967 and December 2014 using key words related to pharmacological treatments and PWS. Articles with original data were included based on a standardized four-step selection process. The identification of studies led to 241 records. All selected articles were evaluated for case descriptions (PWS and behavioral signs) and treatment (type, titration, efficiency, and side effects). Overall, 102 patients were included in these studies. Treatment involved risperidone (three reports, n = 11 patients), fluoxetine (five/n = 6), naltrexone (two/n = 2), topiramate (two/n = 16), fluvoxamine (one/n = 1), mazindol (one/n = 2), N-acetyl cysteine (one/n = 35), rimonabant (one/n = 15), and fenfluramine (one/n = 15). Conclusion: We identified promising treatment effects with topiramate for self-injury and impulsive/aggressive behaviors, risperidone for psychotic symptoms associated with uniparental disomy (UPD), and N-acetyl cysteine for skin picking. The pharmacological approach of behavioral impairment in PWS has been poorly investigated to date. Further randomized controlled studies are warranted.

Costs and cost‐effectiveness of carotid stenting versus endarterectomy for patients at increased surgical risk: Results from the SAPPHIRE trial

Abstract: Objectives: To evaluate the cost-effectiveness of carotid stenting vs. carotid endarterectomy using data from the SAPPHIRE trial. Background: Carotid stenting with embolic protection has been introduced as an alternative to carotid endarterectomy for prevention of cerebrovascular and cardiovascular events among patients at increased surgical risk. Methods: Between August 2000 and July 2002, 310 patients with an accepted indication for carotid endarterectomy but at high risk of complications were randomized to and subsequently underwent either carotid stenting (n = 159) or endarterectomy (n = 151). Clinical outcomes, resource use, costs, and quality of life were assessed prospectively for all patients over a 1-year period. Life expectancy, quality-adjusted life expectancy, and health care costs beyond the follow-up period were estimated for patients alive at 1 year, based on observed clinical events during the first year of follow-up. Results: Although initial procedural costs were significantly higher for stenting than for endarterectomy (mean difference: $4,081/patient; 95% CI, $3,849–$4,355), mean post-procedure length of stay was shorter for stenting (1.9 vs. 2.9 days; P < 0.001) with significant associated cost offsets. As a result, initial hospital costs were just $559/patient higher with stenting (95% CI, $3,470 less to $2,289 more). Neither follow-up costs after discharge nor total 1-year costs differed significantly. The incremental cost-effectiveness ratio for stenting compared with endarterectomy was $6,555 per quality-adjusted life year (QALY) gained, with over 98 percent of bootstrap estimates <$50,000/QALY gained. Conclusions: Although carotid stenting with embolic protection is more costly than carotid endarterectomy, by commonly accepted standards, stenting is an economically attractive alternative to endarterectomy for patients at high surgical risk. © 2011 Wiley-Liss, Inc.

Variation in Hospital Risk–Adjusted Mortality Rates Following Transcatheter Aortic Valve Replacement in the United States A Report From the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy Registry

Abstract: Background—The use of transcatheter aortic valve replacement (TAVR) to treat aortic stenosis in the United States is growing, yet little is known about the variation in procedural outcomes in community practice. We developed a TAVR in-hospital mortality risk model and used it to quantify variation in mortality rates across United States (US) TAVR centers. Methods and Results—We analyzed data from 22 248 TAVR procedures performed at 318 sites participating in the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy Registry (November 2011 to October 2014). A Bayesian hierarchical model was developed to estimate hospital-specific risk-adjusted mortality rates adjusting for 40 patient baseline factors. A total of 1130 in-hospital deaths (5.1%) were observed. Reliability-adjusted risk-adjusted mortality rate estimates ranged from 3.4% to 7.7% with an interquartile range of 4.8% to 5.4%. A patient’s predicted odds of dying was 80% higher if treated by a hospital 1 standard de...

Red cell distribution width is a predictor of mortality in patients undergoing percutaneous coronary intervention

Abstract: Red cell distribution width (RDW), a measure of the variability in size of circulating erythrocytes, is an independent predictor of mortality in patients with cardiovascular disease. We hypothesized that RDW is a prognostic marker of death, myocardial infarction and unplanned revascularization in a broad population undergoing percutaneous coronary intervention (PCI). We investigated the prognostic value of RDW derived from a complete blood count drawn ≤24 h of PCI in 1,689 patients at four centers who underwent PCI between 2004 and 2007 in the evaluation of drug eluting stents and ischemic events registry. Patients who underwent blood transfusions were excluded. Multivariable analyses of death, MI, unplanned revascularization, and the combined occurrence of these events at 1 year were performed using methods from survival analysis. The analysis was adjusted for creatinine ≥1.5 mg/dL, hemoglobin, congestive heart failure, coronary artery bypass grafting history, male sex, BMI, atherosclerosis of ≥2 coronary vessels, and hypertension. In univariate analysis of RDW stratified by quartiles, membership in the highest quartile was a predictor of mortality as compared to the lowest quartile (HR 5.07, CI 2.07–12.40, p < 0.001). In multivariate analysis, RDW was not an independent predictor of unplanned revascularization after PCI; however, RDW remained an independent correlate of 1 year mortality (HR 1.65, CI 1.22–2.23, p = 0.001); with a continuous net reclassification improvement of 46.5 % (95 % CI 15.1–76.4 %) and a relative integrated discrimination improvement of 57.8 % (95 % CI 22.1–94.9 %) after PCI. RDW is a widely available independent correlate of 1-year mortality after PCI that increases the discriminative value of risk prediction in these patients.

Interaction and behaviour imaging: a novel method to measure mother-infant interaction using video 3D reconstruction.

Abstract: Studying early interaction is essential for understanding development and psychopathology. Automatic computational methods offer the possibility to analyse social signals and behaviours of several partners simultaneously and dynamically. Here, 20 dyads of mothers and their 13–36-month-old infants were videotaped during mother–infant interaction including 10 extremely high-risk and 10 low-risk dyads using two-dimensional (2D) and three-dimensional (3D) sensors. From 2D+3D data and 3D space reconstruction, we extracted individual parameters (quantity of movement and motion activity ratio for each partner) and dyadic parameters related to the dynamics of partners heads distance (contribution to heads distance), to the focus of mutual engagement (percentage of time spent face to face or oriented to the task) and to the dynamics of motion activity (synchrony ratio, overlap ratio, pause ratio). Features are compared with blind global rating of the interaction using the coding interactive behavior (CIB). We found that individual and dyadic parameters of 2D+3D motion features perfectly correlates with rated CIB maternal and dyadic composite scores. Support Vector Machine classification using all 2D–3D motion features classified 100% of the dyads in their group meaning that motion behaviours are sufficient to distinguish high-risk from low-risk dyads. The proposed method may present a promising, low-cost methodology that can uniquely use artificial technology to detect meaningful features of human interactions and may have several implications for studying dyadic behaviours in psychiatry. Combining both global rating scales and computerized methods may enable a continuum of time scale from a summary of entire interactions to second-by-second dynamics.

Using Multivariate Statistics

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How people learn: Brain, mind, experience, and school.

Abstract: New developments in the science of learning science of learning overview mind and brain how experts differ from novices how children learn learning and transfer the learning environment curriculum, instruction and commnity effective teaching - examples in history, mathematics and science teacher learning technology to support learning conclusions from new developments in the science of learning.

ESC Guidelines for the Management of Acute Myocardial Infarction in Patients Presenting With ST-Segment Elevation

Abstract: ACE : angiotensin-converting enzyme ACS : acute coronary syndrome ADP : adenosine diphosphate AF : atrial fibrillation AMI : acute myocardial infarction AV : atrioventricular AIDA-4 : Abciximab Intracoronary vs. intravenously Drug Application APACHE II : Acute Physiology Aand Chronic

Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

Abstract: WRITING GROUP MEMBERS Emelia J. Benjamin, MD, SCM, FAHA Michael J. Blaha, MD, MPH Stephanie E. Chiuve, ScD Mary Cushman, MD, MSc, FAHA Sandeep R. Das, MD, MPH, FAHA Rajat Deo, MD, MTR Sarah D. de Ferranti, MD, MPH James Floyd, MD, MS Myriam Fornage, PhD, FAHA Cathleen Gillespie, MS Carmen R. Isasi, MD, PhD, FAHA Monik C. Jiménez, ScD, SM Lori Chaffin Jordan, MD, PhD Suzanne E. Judd, PhD Daniel Lackland, DrPH, FAHA Judith H. Lichtman, PhD, MPH, FAHA Lynda Lisabeth, PhD, MPH, FAHA Simin Liu, MD, ScD, FAHA Chris T. Longenecker, MD Rachel H. Mackey, PhD, MPH, FAHA Kunihiro Matsushita, MD, PhD, FAHA Dariush Mozaffarian, MD, DrPH, FAHA Michael E. Mussolino, PhD, FAHA Khurram Nasir, MD, MPH, FAHA Robert W. Neumar, MD, PhD, FAHA Latha Palaniappan, MD, MS, FAHA Dilip K. Pandey, MBBS, MS, PhD, FAHA Ravi R. Thiagarajan, MD, MPH Mathew J. Reeves, PhD Matthew Ritchey, PT, DPT, OCS, MPH Carlos J. Rodriguez, MD, MPH, FAHA Gregory A. Roth, MD, MPH Wayne D. Rosamond, PhD, FAHA Comilla Sasson, MD, PhD, FAHA Amytis Towfighi, MD Connie W. Tsao, MD, MPH Melanie B. Turner, MPH Salim S. Virani, MD, PhD, FAHA Jenifer H. Voeks, PhD Joshua Z. Willey, MD, MS John T. Wilkins, MD Jason HY. Wu, MSc, PhD, FAHA Heather M. Alger, PhD Sally S. Wong, PhD, RD, CDN, FAHA Paul Muntner, PhD, MHSc On behalf of the American Heart Association Statistics Committee and Stroke Statistics Subcommittee Heart Disease and Stroke Statistics—2017 Update

Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association

Abstract: Author(s): Writing Group Members; Mozaffarian, Dariush; Benjamin, Emelia J; Go, Alan S; Arnett, Donna K; Blaha, Michael J; Cushman, Mary; Das, Sandeep R; de Ferranti, Sarah; Despres, Jean-Pierre; Fullerton, Heather J; Howard, Virginia J; Huffman, Mark D; Isasi, Carmen R; Jimenez, Monik C; Judd, Suzanne E; Kissela, Brett M; Lichtman, Judith H; Lisabeth, Lynda D; Liu, Simin; Mackey, Rachel H; Magid, David J; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Muntner, Paul; Mussolino, Michael E; Nasir, Khurram; Neumar, Robert W; Nichol, Graham; Palaniappan, Latha; Pandey, Dilip K; Reeves, Mathew J; Rodriguez, Carlos J; Rosamond, Wayne; Sorlie, Paul D; Stein, Joel; Towfighi, Amytis; Turan, Tanya N; Virani, Salim S; Woo, Daniel; Yeh, Robert W; Turner, Melanie B; American Heart Association Statistics Committee; Stroke Statistics Subcommittee