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Pfeffer, Marc

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Pfeffer

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Pfeffer, Marc
Author's Publications: search.filters.isAuthorOfPublication.2268043f-7225-4292-85f0-b9292ca1fa1f

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    Renal function estimation and Cockcroft–Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart ‘OMics’ in AGEing (HOMAGE) and the high-risk myocardial infarction database initiatives
    (BioMed Central, 2016) Ferreira, João Pedro; Girerd, Nicolas; Pellicori, Pierpaolo; Duarte, Kevin; Girerd, Sophie; Pfeffer, Marc; McMurray, John J. V.; Pitt, Bertram; Dickstein, Kenneth; Jacobs, Lotte; Staessen, Jan A.; Butler, Javed; Latini, Roberto; Masson, Serge; Mebazaa, Alexandre; Rocca, Hans Peter Brunner-La; Delles, Christian; Heymans, Stephane; Sattar, Naveed; Jukema, J. Wouter; Cleland, John G.; Zannad, Faiez; Rossignol, Patrick
    Background: Renal impairment is a major risk factor for mortality in various populations. Three formulas are frequently used to assess both glomerular filtration rate (eGFR) or creatinine clearance (CrCl) and mortality prediction: body surface area adjusted-Cockcroft–Gault (CG-BSA), Modification of Diet in Renal Disease Study (MDRD4), and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. The CKD-EPI is the most accurate eGFR estimator as compared to a “gold-standard”; however, which of the latter is the best formula to assess prognosis remains to be clarified. This study aimed to compare the prognostic value of these formulas in predicting the risk of cardiovascular mortality (CVM) in population-based, cardiovascular risk, heart failure (HF) and post-myocardial infarction (MI) cohorts. Methods: Two previously published cohorts of pooled patient data derived from the partners involved in the HOMAGE-consortium and from four clinical trials – CAPRICORN, EPHESUS, OPTIMAAL and VALIANT – the high risk MI initiative, were used. A total of 54,111 patients were included in the present analysis: 2644 from population-based cohorts; 20,895 from cardiovascular risk cohorts; 1801 from heart failure cohorts; and 28,771 from post-myocardial infarction cohorts. Participants were patients enrolled in the respective cohorts and trials. The primary outcome was CVM. Results: All formulas were strongly and independently associated with CVM. Lower eGFR/CrCl was associated with increasing CVM rates for values below 60 mL/min/m2. Categorical renal function stages diverged in a more pronounced manner with the CG-BSA formula in all populations (higher χ2 values), with lower stages showing stronger associations. The discriminative improvement driven by the CG-BSA formula was superior to that of MDRD4 and CKD-EPI, but remained low overall (increase in C-index ranging from 0.5 to 2%) while not statistically significant in population-based cohorts. The integrated discrimination improvement and net reclassification improvement were higher (P < 0.05) for the CG-BSA formula compared to MDRD4 and CKD-EPI in CV risk, HF and post-MI cohorts, but not in population-based cohorts. The CKD-EPI formula was superior overall to MDRD4. Conclusions: The CG-BSA formula was slightly more accurate in predicting CVM in CV risk, HF, and post-MI cohorts (but not in population-based cohorts). However, the CG-BSA discriminative improvement was globally low compared to MDRD4 and especially CKD-EPI, the latter offering the best compromise between renal function estimation and CVM prediction. Electronic supplementary material The online version of this article (doi:10.1186/s12916-016-0731-2) contains supplementary material, which is available to authorized users.
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    Echocardiography-derived left ventricular end-systolic regional wall stress and matrix remodeling after experimental myocardial infarction
    (Elsevier BV, 1999) Rohde, Luis E; Aikawa, Masanori; Cheng, George Z; Sukhova, Galina; Solomon, Scott; Libby, Peter; Pfeffer, Janice; Pfeffer, Marc; Lee, Richard
    OBJECTIVES We tested the hypothesis that regional end-systolic left ventricular (ESLV) wall stress is associated with extracellular matrix remodeling activity after myocardial infarction (MI). BACKGROUND Increased left ventricular (LV) wall stress is a stimulus for LV enlargement, and echocardiography can be used to estimate regional wall stress. A powerful validation of a noninvasive method of estimating wall stress would be predicting cellular responses after a MI. METHODS Echocardiographic images were obtained in rats 1, 7, 14 or 21 days after coronary ligation (n = 11) or sham surgery (n = 5). End-systolic left ventricular wall stress was calculated by finite element analysis in three regions (infarcted, noninfarcted and border) from short-axis images. Matrix metalloproteinase-9 (MMP-9) and macrophage density were determined by immunohistochemistry, and positive cells were counted in high power fields (hpf). RESULTS Average ESLV wall stress was higher in rats with MI when compared to shams irrespective of time point (p < 0.01), and ESLV wall stress in the infarcted regions increased with time (25.1 ± 5.9 vs. 69.9 ± 4.4 kdyn/cm2, day 1 vs. 21; p < 0.01). Matrix metalloproteinase-9 expression was higher in infarcted and border regions when compared to noninfarcted regions (22.1 vs. 25.7 vs. 0.10 cells/hpf, respectively; p < 0.01). Over all regions, ESLV wall stress was associated with MMP-9 (r = 0.76; p < 0.001), macrophage density (r = 0.72; p < 0.001) and collagen content (r = 0.67; p < 0.001). End-systolic left ventricular wall stress was significantly higher when MMP-9 positive cell density was greater than 10 cells/hpf (45 ± 20 vs. 14 ± 10 kdyn/cm2; p < 0.001). CONCLUSIONS Regional increases in ESLV wall stress determined by echocardiography-based structural analysis are associated with extracellular matrix degradation activity.
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    Predicting Outcomes Over Time in Patients With Heart Failure, Left Ventricular Systolic Dysfunction, or Both Following Acute Myocardial Infarction
    (John Wiley and Sons Inc., 2016) Lopes, Renato D.; Pieper, Karen S.; Stevens, Susanna R.; Solomon, Scott; McMurray, John J.V.; Pfeffer, Marc; Leimberger, Jeffrey D.; Velazquez, Eric J.
    Background: Most studies of risk assessment or stratification in patients with myocardial infarction (MI) have been static and fail to account for the evolving nature of clinical events and care processes. We sought to identify predictors of mortality, cardiovascular death or nonfatal MI, and cardiovascular death or nonfatal heart failure (HF) over time in patients with HF, left ventricular systolic dysfunction, or both post‐MI. Methods and Results: Using data from the VALsartan In Acute myocardial iNfarcTion (VALIANT) trial, we developed models to estimate the association between patient characteristics and the likelihood of experiencing an event from the time of a follow‐up visit until the next visit. The intervals are: hospital arrival to discharge or 14 days, whichever occurs first; hospital discharge to 30 days; 30 days to 6 months; and 6 months to 3 years. Models were also developed to predict the entire 3‐year follow‐up period using baseline information. Multivariable Cox proportional hazards modeling was used throughout with Wald chi‐squares as the comparator of strength for each predictor. For the baseline model of overall mortality, the 3 strongest predictors were age (adjusted hazard ratio [HR], 1.35; 95% CI, 1.28–1.42; P<0.0001), baseline heart rate (adjusted HR, 1.17; 95% CI, 1.14–1.21; P<0.0001), and creatinine clearance (≤100 mL/min; adjusted HR, 0.86; 95% CI, 0.84–0.89; P<0.0001). According to the integrated discrimination improvement (IDI) and net reclassification improvement (NRI) indices, the updated model had significant improvement over the model with baseline covariates only in all follow‐up periods and with all outcomes. Conclusions: Patient information assessed closest to the time of the outcome was more valuable in predicting death when compared with information obtained at the time of the index hospitalization. Using updated patient information improves prognosis over using only the information available at the time of the index event.
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    Proteinuria, impaired kidney function, and adverse outcomes in people with coronary disease: analysis of a previously conducted randomised trial
    (BMJ, 2006) Tonelli, M.; Powell, Jose; Curhan, Gary; Sacks, Frank; Braunwald, Eugene; Pfeffer, Marc
    OBJECTIVES: To determine whether data on proteinuria are useful for refining estimates of risk based on kidney function alone, and whether the results of kidney function tests can be a useful adjunct to data on proteinuria. DESIGN: Analysis of data from a randomised trial. Impaired kidney function was defined as low glomerular filtration rate (< 60 ml/min/1.73 m2) and proteinuria (> or = 1+ protein) on dipstick urinalysis. SETTING: Study of cholesterol and recurrent events: a randomised trial of pravastatin 40 mg daily versus placebo. PARTICIPANTS: 4098 men and women with previous myocardial infarction. MAIN OUTCOME MEASURES: All cause mortality and cardiovascular events. RESULTS: 371 participants died in nearly 60 months of follow-up. Compared with participants without proteinuria or impaired kidney function, patients with both characteristics were at high risk (hazard ratio 2.39, 95% confidence interval 1.72 to 3.30), and those with only proteinuria or only impaired kidney function were at intermediate risk (1.69, 1.32 to 2.16; 1.41, 1.12 to 1.79, respectively) of dying from any cause. The results were similar for cardiovascular outcomes, including new cases of heart failure, stroke, and coronary death or non-fatal myocardial infarction. A graded increase in the risk of all cause mortality was seen for severity of renal impairment and degree of proteinuria by dipstick. CONCLUSIONS: The presence or absence of proteinuria on dipstick urinalysis may be used to refine estimates of risk based on kidney function alone.
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    Role of B‐Type Natriuretic Peptide and N‐Terminal Prohormone BNP as Predictors of Cardiovascular Morbidity and Mortality in Patients With a Recent Coronary Event and Type 2 Diabetes Mellitus
    (John Wiley and Sons Inc., 2017) Wolsk, Emil; Claggett, Brian; Pfeffer, Marc; Diaz, Rafael; Dickstein, Kenneth; Gerstein, Hertzel C.; Lawson, Francesca C.; Lewis, Eldrin; Maggioni, Aldo P.; McMurray, John J. V.; Probstfield, Jeffrey L.; Riddle, Matthew C.; Solomon, Scott; Tardif, Jean‐Claude; Køber, Lars
    Background: Natriuretic peptides are recognized as important predictors of cardiovascular events in patients with heart failure, but less is known about their prognostic importance in patients with acute coronary syndrome. We sought to determine whether B‐type natriuretic peptide (BNP) and N‐terminal prohormone B‐type natriuretic peptide (NT‐proBNP) could enhance risk prediction of a broad range of cardiovascular outcomes in patients with acute coronary syndrome and type 2 diabetes mellitus. Methods and Results: Patients with a recent acute coronary syndrome and type 2 diabetes mellitus were prospectively enrolled in the ELIXA trial (n=5525, follow‐up time 26 months). Best risk models were constructed from relevant baseline variables with and without BNP/NT‐proBNP. C statistics, Net Reclassification Index, and Integrated Discrimination Index were analyzed to estimate the value of adding BNP or NT‐proBNP to best risk models. Overall, BNP and NT‐proBNP were the most important predictors of all outcomes examined, irrespective of history of heart failure or any prior cardiovascular disease. BNP significantly improved C statistics when added to risk models for each outcome examined, the strongest increments being in death (0.77–0.82, P<0.001), cardiovascular death (0.77–0.83, P<0.001), and heart failure (0.84–0.87, P<0.001). BNP or NT‐proBNP alone predicted death as well as all other variables combined (0.77 versus 0.77). Conclusions: In patients with a recent acute coronary syndrome and type 2 diabetes mellitus, BNP and NT‐proBNP were powerful predictors of cardiovascular outcomes beyond heart failure and death, ie, were also predictive of MI and stroke. Natriuretic peptides added as much predictive information about death as all other conventional variables combined. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT01147250.