Christopher A Miller

Dr. Christopher A Miller


Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 May 2013 in Circulation: Cardiovascular Imaging
Verified
Journal Article
Closed access
CMChristopher A Miller
Christopher A Miller
JNJosephine H. Naish
Josephine H. Naish
PBPaul Bishop
Paul Bishop
GCGlyn Coutts
Glyn Coutts
DCDavid Clark
David Clark
MSMatthias Schmitt
Matthias Schmitt
Background—: Extracellular matrix expansion is a key element of ventricular remodeling and a potential therapeutic target. Cardiovascular magnetic resonance (CMR) T 1 -mapping techniques are increasingly used to evaluate myocardial extracellular volume (ECV); however, the most widely applied methods are without histological validation. Our aim was to perform comprehensive validation of (1) dynamic-equilibrium CMR (DynEq-CMR), where ECV is quantified using hematocrit-adjusted myocardial and blood T 1 values measured before and after gadolinium bolus; and (2) isolated measurement of myocardial T 1 , used as an ECV surrogate. Methods and Results—: Whole-heart histological validation was performed using 96 tissue samples, analyzed for picrosirius red collagen volume fraction, obtained from each of 16 segments of the explanted hearts of 6 patients undergoing heart transplantation who had prospectively undergone CMR before transplantation (median interval between CMR and transplantation, 29 days). DynEq-CMR–derived ECV was calculated from T 1 measurements made using a modified Look-Locker inversion recovery sequence before and 10 and 15 minutes post contrast. In addition, ECV was measured 2 to 20 minutes post contrast in 30 healthy volunteers. There was a strong linear relationship between DynEq-CMR–derived ECV and histological collagen volume fraction ( P <0.001; within-subject: r =0.745; P <0.001; r 2 =0.555 and between-subject: r =0.945; P <0.01; r 2 =0.893; for ECV calculated using 15-minute postcontrast T 1 ). Correlation was maintained throughout the entire heart. Isolated postcontrast T 1 measurement showed significant within-subject correlation with histological collagen volume fraction ( r =−0.741; P <0.001; r 2 =0.550 for 15-minute postcontrast T 1 ), but between-subject correlations were not significant. DynEq-CMR–derived ECV varied significantly according to contrast dose, myocardial region, and sex. Conclusions—: DynEq-CMR–derived ECV shows a good correlation with histological collagen volume fraction throughout the whole heart. Isolated postcontrast T 1 measurement is insufficient for ECV assessment.

12 August 2021 in Nature Medicine
Verified
Journal Article
Closed access
PDF file
GLGavin A. Lewis
Gavin A. Lewis
SDSusanna Dodd
Susanna Dodd
DCDannii Clayton
Dannii Clayton
EBEmma Bedson
Emma Bedson
HEHelen Eccleson
Helen Eccleson
CMChristopher A Miller
Christopher A Miller

1 September 2017 in JAMA Cardiology
Verified
Journal Article
Closed access
ESErik B. Schelbert
Erik B. Schelbert
YFYaron Fridman
Yaron Fridman
TWTimothy C. Wong
Timothy C. Wong
HDHussein Abu Daya
Hussein Abu Daya
KPKayla M. Piehler
Kayla M. Piehler
MGMihai Gheorghiade
Mihai Gheorghiade
Among myriad changes occurring during the evolution of heart failure with preserved ejection fraction (HFpEF), cardiomyocyte-extracellular matrix interactions from excess collagen may affect microvascular, mechanical, and electrical function. To investigate whether myocardial fibrosis (MF) is similarly prevalent both in those with HFpEF and those at risk for HFpEF, similarly associating with disease severity and outcomes. Observational cohort study from June 1, 2010, to September 17, 2015, with follow-up until December 14, 2015, at a cardiovascular magnetic resonance (CMR) center serving an integrated health system. Consecutive patients with preserved systolic function referred for CMR were eligible. Cardiovascular magnetic resonance was used to exclude patients with cardiac amyloidosis (n = 19). Myocardial fibrosis quantified by extracellular volume (ECV) CMR measures. Baseline BNP; subsequent hospitalization for heart failure or death. Of 1174 patients identified (537 [46%] female; median [interquartile range {IQR}] age, 56 [44-66] years), 250 were "at risk" for HFpEF given elevated brain-type natriuretic peptide (BNP) level; 160 had HFpEF by documented clinical diagnosis, and 745 did not have HFpEF. Patients either at risk for HFpEF or with HFpEF demonstrated similarly higher prevalence/extent of MF and worse prognosis compared with patients with no HFpEF. Among those at risk for HFpEF or with HFpEF, the actual diagnosis of HFpEF was not associated with significant differences in MF (median ECV, 28.2%; IQR, 26.2%-30.7% vs 28.3%; IQR, 25.5%-31.4%; P = .60) or prognosis (log-rank 0.8; P = .38). Over a median of 1.9 years, 61 patients at risk for HFpEF or with HFpEF experienced adverse events (19 hospitalization for heart failure, 48 deaths, 6 with both). In those with HFpEF, ECV was associated with baseline log BNP (disease severity surrogate) in multivariable linear regression models, and was associated with outcomes in multivariable Cox regression models (eg, hazard ratio 1.75 per 5% increase in ECV, 95% CI, 1.25-2.45; P = .001 in stepwise model) whether grouped with patients at risk for HFpEF or not. Among myriad changes occurring during the apparent evolution of HFpEF where elevated BNP is prevalent, MF was similarly prevalent in those with or at risk for HFpEF. Conceivably, MF might precede clinical HFpEF diagnosis. Regardless, MF was associated with disease severity (ie, BNP) and outcomes. Whether cells and secretomes mediating MF represent therapeutic targets in HFpEF warrants further evaluation.

1 December 2015 in Journal of the American Heart Association
Verified
Journal Article
Open access
ESErik B. Schelbert
Erik B. Schelbert
KPKayla M. Piehler
Kayla M. Piehler
KZKarolina M. Zareba
Karolina M. Zareba
JMJames C. Moon
James C. Moon
MUMartin Ugander
Martin Ugander
TWTimothy C. Wong
Timothy C. Wong
Background: Myocardial fibrosis ( MF ) in noninfarcted myocardium may be an interstitial disease pathway that confers vulnerability to hospitalization for heart failure, death, or both across the spectrum of heart failure and ejection fraction. Hospitalization for heart failure is an epidemic that is difficult to predict and prevent and requires potential therapeutic targets associated with outcomes. Method and Results: We quantified MF with cardiovascular magnetic resonance extracellular volume fraction ( ECV ) measures in 1172 consecutive patients without amyloidosis or hypertrophic or stress cardiomyopathy and assessed associations with outcomes using Cox regression. ECV ranged from 16.6% to 47.8%. Over a median of 1.7 years, 111 patients experienced events after cardiovascular magnetic resonance, 55 had hospitalization for heart failure events, and there were 74 deaths. ECV was more strongly associated with outcomes than “nonischemic” MF observed with late gadolinium enhancement, thus ECV quantified MF in multivariable models. Adjusting for age, sex, renal function, myocardial infarction size, ejection fraction, hospitalization status, and heart failure stage, higher ECV was associated with hospitalization for heart failure (hazard ratio 1.77; 95% CI 1.32 to 2.36 for every 5% increase in ECV ), death (hazard ratio 1.87 95% CI 1.45 to 2.40) or both (hazard ratio 1.85, 95% CI 1.50 to 2.27). ECV improved classification of persons at risk and improved model discrimination for outcomes (eg, hospitalization for heart failure: continuous net reclassification improvement 0.33, 95% CI 0.05 to 0.66; P =0.02; 0.16, 95% CI 0.01 to 0.33; P =0.02; integrated discrimination improvement 0.037, 95% CI 0.008 to 0.073; P <0.01). Conclusion: MF measured by ECV is associated with hospitalization for heart failure, death, or both. MF may represent a principal phenotype of cardiac vulnerability that improves risk stratification. Because MF can be reversible, cells and enzymes regulating collagen could be potential therapeutic targets.

1 October 2017 in JACC
Verified
Journal Article
Closed access
GLGavin A. Lewis
Gavin A. Lewis
ESErik B. Schelbert
Erik B. Schelbert
SWSimon G. Williams
Simon G. Williams
CCColin Cunnington
Colin Cunnington
FAFozia Ahmed
Fozia Ahmed
CMChristopher A Miller
Christopher A Miller

1 May 2019 in JACC
Verified
Journal Article
Closed access
PCPaul Carter
Paul Carter
JLJakub Lagan
Jakub Lagan
CFChristien Fortune
Christien Fortune
DBDeepak L. Bhatt
Deepak L. Bhatt
JVJørgen Vestbo
Jørgen Vestbo
CMChristopher A Miller
Christopher A Miller