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Using Multivariate Statistics

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.

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

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

/pdf/esc-guidelines-for-the-management-of-acute-myocardial-vy5rt9aiqe.pdf

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

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—2017 Update: A Report From the American Heart Association

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

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

Cost-effectiveness of abciximab after coronary stenting: a decision-analytic model

Introduction: Clinical trials report the mean benefits and risks of a treatment for a population, which can mask the heterogeneity of risks and benefits for individual patients. Recognizing and communicating individual patients’ risks may support translation of trial results into practice. Methods: Using data from 12,907 ACS patients undergoing percutaneous coronary intervention (PCI) in TRITON-TIMI 38, we fit separate multivariable logistic regression models to predict major ischemia (cardiac death, MI & stroke) and bleeding (TIMI major/minor) risk with both prasugrel and clopidogrel. We built full models using variables selected a priori , then created a more parsimonious model by sequentially removing variables explaining the least variance until the reduced model R 2 in prediction of the full model fell below 0.95. Potential interactions were tested between treatment and all covariates. Results: Models are presented in the Figure; the ischemia risk model included interactions of treatment with age, heparin, diabetes and Killip class. Predicted risk of ischemia varied substantially across the population and was lower with prasugrel (mean 8.9%±4.2%, range 1%-50.6%) vs. clopidogrel (mean 11.3%±5.2%, range 1.5%-61.7%), while bleeding risk was greater with prasugrel (mean 5.0%±3.1%, range 0.5%-26.8%) vs. clopidogrel (mean 3.7%±2.4%, range 0.4%-20.8%). Conclusions: We found substantial variability in patients’ predicted benefit and risk. Risk models that leverage data clinical trial data to estimate each patient9s risk and benefit with prasugrel vs. clopidogrel at the time of decision making should be tested to see if they support safer, more cost-effective care.

Abstract P233: Selecting Antiplatelet Therapy After Percutaneous Intervention for an Acute Coronary Syndrome: Weighing the Risks and Benefits of Prasugrel Versus Clopidogrel

In the original article, incorrect Table 1 was published. The correct Table 1 is given below.

/pdf/correction-to-repeating-a-suicide-attempt-during-adolescence-41kwyi5p3o.pdf

Correction to: Repeating a suicide attempt during adolescence: risk and protective factors 12 months after hospitalization

Why Is Intravascular Ultrasound Guidance Underutilized in Percutaneous Coronary Intervention?: It Is Not "All About the Benjamins".

Resume Objectifs Les personnes atteintes de troubles du spectre autistique (TSA) recoivent regulierement un traitement. Pourtant, peu de publications documentent les prescriptions medicamenteuses dans l’autisme en France. Notre etude offre un etat des lieux de l’usage des traitements pharmacologiques d’apres constat parental, et evalue les facteurs susceptibles d’influencer leur prescription. Patients et methodes Nous avons realise une etude retrospective de cohorte en France entre 2005 a 2007. Les parents de 393 enfants, adolescents et adultes avec TSA (âge moyen : 12,0 ans [± 8,6], rang : 1–45) ont renseigne un questionnaire sur les traitements recus par leur enfant, comprenant entre autres le nom de la molecule, l’âge de debut et la duree du traitement, et les effets observes. Resultats Dans l’ensemble, 52 % (n = 203) des individus ont pris un traitement medicamenteux et 35 % (n = 139) l’ont conserve, avec au moins deux psychotropes dans 10,5 % des cas (n = 40). Les antipsychotiques atypiques (APA) (23 %, n = 88) et classiques (13 %, n = 49) etaient les plus prescrits, suivis des antiepileptiques (9 %, n = 36). Le risque d’effets indesirables augmentait en cas d’APA (OR = 56,1 [12,4–521,4], p  Conclusion La prevalence des personnes avec autisme ayant recu ou poursuivant un traitement pharmacologique interroge, etant donne les faibles preuves de leur efficacite et leurs effets indesirables notables.

Traitements médicamenteux reçus par les enfants, adolescents et jeunes adultes avec trouble du spectre autistique en France : un état des lieux basé sur l’expérience parentale

David Cohen

Papers

Cost-effectiveness of abciximab after coronary stenting: a decision-analytic model

Abstract P233: Selecting Antiplatelet Therapy After Percutaneous Intervention for an Acute Coronary Syndrome: Weighing the Risks and Benefits of Prasugrel Versus Clopidogrel

Correction to: Repeating a suicide attempt during adolescence: risk and protective factors 12 months after hospitalization

Why Is Intravascular Ultrasound Guidance Underutilized in Percutaneous Coronary Intervention?: It Is Not "All About the Benjamins".

Traitements médicamenteux reçus par les enfants, adolescents et jeunes adultes avec trouble du spectre autistique en France : un état des lieux basé sur l’expérience parentale