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Michael J. Pencina

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https://www.readbyqxmd.com/read/27908393/association-of-30-day-readmission-metric%C3%A2-for-heart-failure-under-the-hospital%C3%A2-readmissions-reduction-program%C3%A2-with-quality-of-care-and%C3%A2-outcomes
#1
Ambarish Pandey, Harsh Golwala, Haolin Xu, Adam D DeVore, Roland Matsouaka, Michael Pencina, Dharam J Kumbhani, Adrian F Hernandez, Deepak L Bhatt, Paul A Heidenreich, Clyde W Yancy, James A de Lemos, Gregg C Fonarow
OBJECTIVES: This study sought to determine whether processes of care and long-term clinical outcomes for heart failure (HF) admissions across Get With The Guidelines-Heart Failure (GWTG-HF) program participating centers differ according to HF-specific risk-adjusted 30-day readmission rates (excess readmission ratio [ERR]) as determined by the Hospital Readmission Reduction Program (HRRP). BACKGROUND: HRRP penalizes hospitals with higher than expected risk-adjusted 30-day readmission rates (ERR >1) for common conditions including HF...
December 2016: JACC. Heart Failure
https://www.readbyqxmd.com/read/27908345/determining-when-to-add-nonstatin-therapy-a-quantitative-approach
#2
Jennifer G Robinson, Roeland Huijgen, Kausik Ray, Jane Persons, John J P Kastelein, Michael J Pencina
BACKGROUND: Costs and uncertainty about the benefits of nonstatin therapies limit their use. OBJECTIVES: The authors sought to identify patients who might benefit from the addition of a nonstatin to background statin therapy. METHODS: We performed systematic reviews of subgroup analyses from randomized trials and observational studies with statin-treated participants to determine estimated 10-year absolute risk of atherosclerotic cardiovascular disease (ASCVD) and to define high-risk and very high-risk patients...
December 6, 2016: Journal of the American College of Cardiology
https://www.readbyqxmd.com/read/27852603/controlling-for-informed-presence-bias-due-to-the-number-of-health-encounters-in-an-electronic-health-record
#3
Benjamin A Goldstein, Nrupen A Bhavsar, Matthew Phelan, Michael J Pencina
Electronic health records (EHRs) are an increasingly utilized resource for clinical research. While their size allows for many analytical opportunities, as with most observational data there is also the potential for bias. One of the key sources of bias in EHRs is what we term informed presence-the notion that inclusion in an EHR is not random but rather indicates that the subject is ill, making people in EHRs systematically different from those not in EHRs. In this article, we use simulated and empirical data to illustrate the conditions under which such bias can arise and how conditioning on the number of health-care encounters can be one way to remove this bias...
November 16, 2016: American Journal of Epidemiology
https://www.readbyqxmd.com/read/27809784/a-comparison-of-time-dependent-cox-regression-pooled-logistic-regression-and-cross-sectional-pooling-with-simulations-and-an-application-to-the-framingham-heart-study
#4
Julius S Ngwa, Howard J Cabral, Debbie M Cheng, Michael J Pencina, David R Gagnon, Michael P LaValley, L Adrienne Cupples
BACKGROUND: Typical survival studies follow individuals to an event and measure explanatory variables for that event, sometimes repeatedly over the course of follow up. The Cox regression model has been used widely in the analyses of time to diagnosis or death from disease. The associations between the survival outcome and time dependent measures may be biased unless they are modeled appropriately. METHODS: In this paper we explore the Time Dependent Cox Regression Model (TDCM), which quantifies the effect of repeated measures of covariates in the analysis of time to event data...
November 3, 2016: BMC Medical Research Methodology
https://www.readbyqxmd.com/read/27732706/risk-prediction-with-electronic-health-records-the-importance-of-model-validation-and-clinical-context
#5
Benjamin A Goldstein, Ann Marie Navar, Michael J Pencina
No abstract text is available yet for this article.
October 12, 2016: JAMA Cardiology
https://www.readbyqxmd.com/read/27732688/do-not-over-p-value-your-research-article
#6
Laine E Thomas, Michael J Pencina
No abstract text is available yet for this article.
October 12, 2016: JAMA Cardiology
https://www.readbyqxmd.com/read/27699818/discrimination-slope-and-integrated-discrimination-improvement-properties-relationships-and-impact-of-calibration
#7
Michael J Pencina, Jason P Fine, Ralph B D'Agostino
Discrimination slope, defined as the slope of a linear regression of predicted probabilities of event derived from a prognostic model on the binary event status, has recently gained popularity as a measure of model performance. It is as a building block for the integrated discrimination improvement that equals the difference in discrimination slopes between the two models being compared. Several authors have pointed out that it does not make sense to apply the integrated discrimination improvement and discrimination slope when working with mis-calibrated models, whereas others have raised concerns about the ability of improving discrimination slope without adding new information...
October 3, 2016: Statistics in Medicine
https://www.readbyqxmd.com/read/27647847/relationship-of-albuminuria-and-renal-artery-stent-outcomes-results-from-the-coral-randomized-clinical-trial-cardiovascular-outcomes-with-renal-artery-lesions
#8
Timothy P Murphy, Christopher J Cooper, Karol M Pencina, Ralph D'Agostino, Joseph Massaro, Donald E Cutlip, Kenneth Jamerson, Alan H Matsumoto, William Henrich, Joseph I Shapiro, Katherine R Tuttle, David J Cohen, Michael Steffes, Qi Gao, D Christopher Metzger, William B Abernethy, Stephen C Textor, John Briguglio, Alan T Hirsch, Sheldon Tobe, Lance D Dworkin
: Randomized clinical trials have not shown an additional clinical benefit of renal artery stent placement over optimal medical therapy alone. However, studies of renal artery stent placement have not examined the relationship of albuminuria and treatment group outcomes. The CORAL study (Cardiovascular Outcomes in Renal Atherosclerotic Lesions) is a prospective clinical trial of 947 participants with atherosclerotic renal artery stenosis randomized to optimal medical therapy with or without renal artery stent which showed no treatment differences (3(5...
November 2016: Hypertension
https://www.readbyqxmd.com/read/27625383/hospital-variation-in-home-time-after-acute-ischemic-stroke-insights-from-the-prosper-study-patient-centered-research-into-outcomes-stroke-patients-prefer-and-effectiveness-research
#9
Emily C O'Brien, Ying Xian, Haolin Xu, Jingjing Wu, Jeffrey L Saver, Eric E Smith, Lee H Schwamm, Eric D Peterson, Mathew J Reeves, Deepak L Bhatt, Lesley Maisch, Deidre Hannah, Brianna Lindholm, DaiWai Olson, Janet Prvu Bettger, Michael Pencina, Adrian F Hernandez, Gregg C Fonarow
BACKGROUND AND PURPOSE: Stroke survivors identify home-time as a high-priority outcome; there are limited data on factors influencing home-time and home-time variability among discharging hospitals. METHODS: We ascertained home-time (ie, time alive out of a hospital, inpatient rehabilitation facility, or skilled nursing facility) at 90 days and 1-year post discharge by linking data from Get With The Guidelines-Stroke Registry patients (≥65 years) to Medicare claims...
October 2016: Stroke; a Journal of Cerebral Circulation
https://www.readbyqxmd.com/read/27604060/assessing-cardiovascular-risk-to-guide-hypertension-diagnosis-and-treatment
#10
Ann Marie Navar, Michael J Pencina, Eric D Peterson
Importance: The Systolic Blood Pressure Intervention Trial (SPRINT) demonstrated the benefit of lowering systolic blood pressure (SBP) to 120 mm Hg, yet other trials, such as Heart Outcomes Prevention Evaluation-3 (HOPE-3), did not find consistent benefit. How to incorporate these results into the treatment of those with elevated SBP in the general population is not clear. Objectives: To assess the representativeness of SPRINT and HOPE-3 relative to patients in the United States and to explore the cardiovascular disease (CVD) risk profiles of various populations with elevated SBP...
November 1, 2016: JAMA Cardiology
https://www.readbyqxmd.com/read/27532930/open-access-platforms-for-sharing-clinical-trial-data-reply
#11
LETTER
Ann Marie Navar, Michael J Pencina, Eric D Peterson
No abstract text is available yet for this article.
August 9, 2016: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/27522443/electronic-health-records-and-pharmacokinetic-modeling-to-assess-the-relationship-between-ampicillin-exposure-and-seizure-risk-in-neonates
#12
Christoph P Hornik, Daniel K Benjamin, P Brian Smith, Michael J Pencina, Adriana H Tremoulet, Edmund V Capparelli, Jessica E Ericson, Reese H Clark, Michael Cohen-Wolkowiez
OBJECTIVE: To evaluate the relationship between ampicillin dosing, exposure, and seizures. STUDY DESIGN: This was a retrospective observational cohort study of electronic health record (EHR) data combined with pharmacokinetic model derived drug exposure predictions. We used the EHR from 348 Pediatrix Medical Group neonatal intensive care units from 1997 to 2012. We included all infants 24-41 weeks gestational age, 500-5400 g birth weight, first exposed to ampicillin prior to 25 days postnatal age...
November 2016: Journal of Pediatrics
https://www.readbyqxmd.com/read/27498397/impact-of-statin-therapy-on-plasma-adiponectin-concentrations-a-systematic-review-and-meta-analysis-of-43-randomized-controlled-trial-arms
#13
Piotr Chruściel, Amirhossein Sahebkar, Magdalena Rembek-Wieliczko, Maria-Corina Serban, Sorin Ursoniu, Dimitri P Mikhailidis, Steven R Jones, Svetlana Mosteoru, Michael J Blaha, Seth S Martin, Jacek Rysz, Peter P Toth, Gregory Y H Lip, Michael J Pencina, Kausik K Ray, Maciej Banach
BACKGROUND AND AIMS: The effect of statin therapy on plasma adiponectin levels has not been conclusively studied. Therefore, we aimed to evaluate this effect through a systematic review and meta-analysis of available randomized controlled trials (RCTs). METHODS: Quantitative data synthesis was performed using a random-effects model with weighted mean difference (WMD) and 95% confidence interval (CI) as summary statistics. RESULTS: In 30 studies (43 study arms) with 2953 participants, a significant increase in plasma adiponectin levels was observed after statin therapy (WMD: 0...
October 2016: Atherosclerosis
https://www.readbyqxmd.com/read/27437884/the-enigma-of-glucose-and-lipid-metabolism
#14
Neha J Pagidipati, Michael Pencina, Allan D Sniderman
No abstract text is available yet for this article.
May 1, 2016: JAMA Cardiology
https://www.readbyqxmd.com/read/27437883/association-between-sitagliptin-use-and-heart-failure-hospitalization-and-related-outcomes-in-type-2-diabetes-mellitus-secondary-analysis-of-a-randomized-clinical-trial
#15
Darren K McGuire, Frans Van de Werf, Paul W Armstrong, Eberhard Standl, Joerg Koglin, Jennifer B Green, M Angelyn Bethel, Jan H Cornel, Renato D Lopes, Sigrun Halvorsen, Giuseppe Ambrosio, John B Buse, Robert G Josse, John M Lachin, Michael J Pencina, Jyotsna Garg, Yuliya Lokhnygina, Rury R Holman, Eric D Peterson
IMPORTANCE: Previous trial results have suggested that dipeptidyl peptidase 4 inhibitor (DPP4i) use might increase heart failure (HF) risk in type 2 diabetes mellitus (T2DM). The DPP4i sitagliptin has been shown to be noninferior to placebo with regard to primary and secondary composite atherosclerotic cardiovascular (CV) outcomes in the Trial Evaluating Cardiovascular Outcomes With Sitagliptin (TECOS). OBJECTIVE: To assess the association of sitagliptin use with hospitalization for HF (hHF) and related outcomes...
May 1, 2016: JAMA Cardiology
https://www.readbyqxmd.com/read/27437649/development-and-validation-of-risk-prediction-models-for-cardiovascular-events-in-black-adults-the-jackson-heart-study-cohort
#16
Ervin R Fox, Tandaw E Samdarshi, Solomon K Musani, Michael J Pencina, Jung Hye Sung, Alain G Bertoni, Vanessa Xanthakis, Pelbreton C Balfour, Satya S Shreenivas, Carolyn Covington, Philip R Liebson, Daniel F Sarpong, Kenneth R Butler, Thomas H Mosley, Wayne D Rosamond, Aaron R Folsom, David M Herrington, Ramachandran S Vasan, Herman A Taylor
IMPORTANCE: Cardiovascular risk assessment is a fundamental component of prevention of cardiovascular disease (CVD). However, commonly used prediction models have been formulated in primarily or exclusively white populations. Whether risk assessment in black adults is dissimilar to that in white adults is uncertain. OBJECTIVES: To develop and validate risk prediction models for CVD incidence in black adults, incorporating standard risk factors, biomarkers, and subclinical disease...
April 1, 2016: JAMA Cardiology
https://www.readbyqxmd.com/read/27434662/population-effect-of-differences-in-cholesterol-guidelines-in-eastern-europe-and-the-united-states
#17
Jerry C Lee, Tomasz Zdrojewski, Michael J Pencina, Adam Wyszomirski, Mateusz Lachacz, Grzegorz Opolski, Piotr Bandosz, Marcin Rutkowski, Zbigniew Gaciong, Bogdan Wyrzykowski, Ann M Navar
IMPORTANCE: The American College of Cardiology/American Heart Association (ACC/AHA) guidelines for the management of blood cholesterol and the current European Society of Cardiology/European Atherosclerosis Society (ESC/EAS) guidelines differ in how they identify adults in need of statin therapy; furthermore, it is unclear how this difference translates into numbers and characteristics of patients recommended for treatment. OBJECTIVE: To determine the effect of the ACC/AHA and ESC/EAS cholesterol guidelines when applied to a population-based sample...
September 1, 2016: JAMA Cardiology
https://www.readbyqxmd.com/read/27426413/net-reclassification-index-at-event-rate-properties-and-relationships
#18
Michael J Pencina, Ewout W Steyerberg, Ralph B D'Agostino
The net reclassification improvement (NRI) is an attractively simple summary measure quantifying improvement in performance because of addition of new risk marker(s) to a prediction model. Originally proposed for settings with well-established classification thresholds, it quickly extended into applications with no thresholds in common use. Here we aim to explore properties of the NRI at event rate. We express this NRI as a difference in performance measures for the new versus old model and show that the quantity underlying this difference is related to several global as well as decision analytic measures of model performance...
July 18, 2016: Statistics in Medicine
https://www.readbyqxmd.com/read/27357832/predicting-mortality-over-different-time-horizons-which-data-elements-are-needed
#19
Benjamin A Goldstein, Michael J Pencina, Maria E Montez-Rath, Wolfgang C Winkelmayer
OBJECTIVE: Electronic health records (EHRs) are a resource for "big data" analytics, containing a variety of data elements. We investigate how different categories of information contribute to prediction of mortality over different time horizons among patients undergoing hemodialysis treatment. MATERIAL AND METHODS: We derived prediction models for mortality over 7 time horizons using EHR data on older patients from a national chain of dialysis clinics linked with administrative data using LASSO (least absolute shrinkage and selection operator) regression...
June 29, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27290677/comparison-of-clinical-outcomes-between-bioresorbable-vascular-stents-versus-conventional-drug-eluting-and-metallic-stents-a-systematic-review-and-meta-analysis
#20
Maciej Banach, Maria-Corina Serban, Amirhossein Sahebkar, Hector M García-García, Dimitri P Mikhailidis, Seth S Martin, Daniel Brie, Jacek Rysz, Peter P Toth, Steven R Jones, Rani K Hasan, Svetlana Mosteoru, Mahmoud Al Rifai, Michael J Pencina, Patrick W Serruys
AIMS: Several studies have suggested good procedural and similar clinical outcomes between everolimus-eluting Absorb bioresorbable stents (BRS) versus conventional drug-eluting stents (DES), but the evidence is not definitive. Our aim was to perform a systematic review and meta-analysis to investigate the effects of BRS versus conventional drug-eluting and bare metallic stents on the cardiovascular endpoints and all-cause mortality. METHODS AND RESULTS: The follow-up in the included studies was up to 13 months...
June 12, 2016: EuroIntervention
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