2025
Novel F-18-labeled Tracers of Sympathetic Function for Improved Risk Stratification and Clinical Outcomes
Zohora F, Nazari M, Sinusas A. Novel F-18-labeled Tracers of Sympathetic Function for Improved Risk Stratification and Clinical Outcomes. Current Cardiology Reports 2025, 27: 61. PMID: 40009333, DOI: 10.1007/s11886-025-02197-9.Peer-Reviewed Original ResearchConceptsSudden cardiac deathImplantable cardioverter defibrillatorPositron emission tomographyImplantable cardioverter defibrillator placementMyocardial sympathetic denervationRisk stratificationSympathetic denervationIschemic heart diseaseHeart failurePrevention of sudden cardiac deathRisk stratification of patientsHeart diseaseOptimal risk stratificationLow ejection fractionStratification of patientsSympathetic nerve densityImprove risk stratificationHeart failure patientsPositron emission tomography radiotracersPredicting sudden cardiac deathPositron emission tomography tracersPrognostic benefitEjection fractionClinically practical approachNerve density
2024
Nonlinearity of the Inverse Relationship between High-Density Lipoprotein (HDL) Cholesterol and Incident Cardiovascular Risk: Is It Time to Revisit the “HDL Hypothesis”?
Hashem C, Altin S, Guyton J, Boden W. Nonlinearity of the Inverse Relationship between High-Density Lipoprotein (HDL) Cholesterol and Incident Cardiovascular Risk: Is It Time to Revisit the “HDL Hypothesis”? Journal Of Clinical Lipidology 2024 PMID: 39934033, DOI: 10.1016/j.jacl.2024.12.009.Peer-Reviewed Original ResearchLow HDL-CHDL-C levelsHDL-CAssociated with atherosclerotic cardiovascular diseaseRandomized controlled trialsLow levels of high-density lipoprotein cholesterolLow HDL-C levelsLevels of high-density lipoprotein cholesterolIncident cardiovascular riskLevels of HDL-CReduce ASCVD eventsHigh-density lipoprotein cholesterolOptimal risk stratificationHigh-density lipoprotein (HDLStatin-based therapyHDL hypothesisAtherosclerotic cardiovascular diseaseLipoprotein (HDLRisk-enhancing factorsIncident cardiovascular eventsCholesterol guidelinesRisk stratificationCardiovascular eventsLipoprotein cholesterolCardiovascular risk
2021
Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry
Rios R, Miller RJH, Hu LH, Otaki Y, Singh A, Diniz M, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, DiCarli M, Van Kriekinge S, Kavanagh P, Parekh T, Liang JX, Dey D, Berman DS, Slomka P. Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry. Cardiovascular Research 2021, 118: 2152-2164. PMID: 34259870, PMCID: PMC9302886, DOI: 10.1093/cvr/cvab236.Peer-Reviewed Original ResearchConceptsMajor adverse cardiac eventsMyocardial perfusion imagingTotal perfusion deficitPrognostic accuracyREFINE SPECT registryImaging variablesTraditional multivariable modelsMultivariable modelStress total perfusion deficitAdverse cardiac eventsReceiver-operating characteristic curveOptimal risk stratificationTomography (SPECT) MPIComparable prognostic accuracyComparable prognostic performanceHigher prognostic accuracySingle photon emissionCardiovascular event predictionCardiac eventsRisk stratificationClinical variablesPerfusion deficitsPrognostic performancePerfusion imagingCollected variables
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply