2024
Shock prediction with dipeptidyl peptidase-3 and renin (SPiDeR) in hypoxemic patients with COVID-19
Busse L, Teixeira J, Schaich C, Lohuis C, Nielsen N, Sturek J, Merck L, Self W, Puskarich M, Khan A, Semler M, Moskowitz A, Hager D, Duggal A, Rice T, Ginde A, Tiffany B, Iovine N, Chen P, Safdar B, Gibbs K, Javaheri A, de Wit M, Harkins M, Joly M, Collins S, Investigators F. Shock prediction with dipeptidyl peptidase-3 and renin (SPiDeR) in hypoxemic patients with COVID-19. Journal Of Critical Care 2024, 85: 154950. PMID: 39546997, DOI: 10.1016/j.jcrc.2024.154950.Peer-Reviewed Original ResearchRenin levelsVasopressor initiationAssociated with organ dysfunctionHigher 28-day mortalityVasopressor-free daysAssociated with increased riskBaseline plasma levelsAt-risk patientsOnset of shockAccelerating COVID-19 Therapeutic InterventionsVasopressor requirementsHypoxemic patientsAcute hypoxemiaOrgan dysfunctionBaseline hypotensionOdds ratioHypotensive eventsReninPlasma samplesPatientsTherapeutic interventionsHypoxemiaMortalityPlatform trialsBaselineAssessment and mitigation of bias in influenza and COVID-19 vaccine effectiveness analyses — IVY Network, September 1, 2022–March 30, 2023
Lewis N, Harker E, Leis A, Zhu Y, Talbot H, Grijalva C, Halasa N, Chappell J, Johnson C, Rice T, Casey J, Lauring A, Gaglani M, Ghamande S, Columbus C, Steingrub J, Shapiro N, Duggal A, Felzer J, Prekker M, Peltan I, Brown S, Hager D, Gong M, Mohamed A, Exline M, Khan A, Wilson J, Mosier J, Qadir N, Chang S, Ginde A, Mohr N, Mallow C, Harris E, Johnson N, Srinivasan V, Gibbs K, Kwon J, Vaughn I, Ramesh M, Safdar B, DeCuir J, Surie D, Dawood F, Ellington S, Self W, Martin E. Assessment and mitigation of bias in influenza and COVID-19 vaccine effectiveness analyses — IVY Network, September 1, 2022–March 30, 2023. Vaccine 2024, 43: 126492. PMID: 39515195, DOI: 10.1016/j.vaccine.2024.126492.Peer-Reviewed Original ResearchCo-circulating virusesRespiratory syncytial virusCOVID-19-associated hospitalizationVaccine effectivenessControl groupRespiratory pathogensInfluenza-associated hospitalizationsExclusion of patientsStudies of vaccine effectivenessAcute respiratory illnessTest-negative studySentinel Surveillance NetworkEstimates of VEInfluenza VEInfluenza-associatedVE controlsReal-world analysisSyncytial virusVE estimatesOverall VEVE analysisPatientsInfluenzaRespiratory illnessVaccine-preventableEffectiveness of Original Monovalent and Bivalent COVID‐19 Vaccines Against COVID‐19‐Associated Hospitalization and Severe In‐Hospital Outcomes Among Adults in the United States, September 2022–August 2023
DeCuir J, Surie D, Zhu Y, Lauring A, Gaglani M, McNeal T, Ghamande S, Peltan I, Brown S, Ginde A, Steinwand A, Mohr N, Gibbs K, Hager D, Ali H, Frosch A, Gong M, Mohamed A, Johnson N, Srinivasan V, Steingrub J, Khan A, Busse L, Duggal A, Wilson J, Qadir N, Chang S, Mallow C, Kwon J, Exline M, Shapiro N, Columbus C, Vaughn I, Ramesh M, Safdar B, Mosier J, Casey J, Talbot H, Rice T, Halasa N, Chappell J, Grijalva C, Baughman A, Womack K, Rhoads J, Swan S, Johnson C, Lewis N, Ellington S, Dawood F, McMorrow M, Self W, Network F. Effectiveness of Original Monovalent and Bivalent COVID‐19 Vaccines Against COVID‐19‐Associated Hospitalization and Severe In‐Hospital Outcomes Among Adults in the United States, September 2022–August 2023. Influenza And Other Respiratory Viruses 2024, 18: e70027. PMID: 39496339, PMCID: PMC11534416, DOI: 10.1111/irv.70027.Peer-Reviewed Original ResearchConceptsCOVID-19-associated hospitalizationIn-hospital outcomesVaccine effectivenessMonovalent dosesAbsolute VETest-negative case-control designInvasive mechanical ventilationCOVID-19 vaccineMultivariate logistic regressionSevere COVID-19Case patientsCase-control designControl patientsMechanical ventilationUnvaccinated patientsPatientsMonovalent vaccineCOVID-19-like illnessDoseCOVID-19 vaccine effectivenessBivalent vaccineLogistic regressionAdmission dateVaccineHospitalInterim Estimates of 2023–24 Seasonal Influenza Vaccine Effectiveness — United States
Frutos A, Price A, Harker E, Reeves E, Ahmad H, Murugan V, Martin E, House S, Saade E, Zimmerman R, Gaglani M, Wernli K, Walter E, Michaels M, Staat M, Weinberg G, Selvarangan R, Boom J, Klein E, Halasa N, Ginde A, Gibbs K, Zhu Y, Self W, Tartof S, Klein N, Dascomb K, DeSilva M, Weber Z, Yang D, Ball S, Surie D, DeCuir J, Dawood F, Moline H, Toepfer A, Clopper B, Link-Gelles R, Payne A, Chung J, Flannery B, Lewis N, Olson S, Adams K, Tenforde M, Garg S, Grohskopf L, Reed C, Ellington S, Collaborators C, Collaborators C, Lauring A, Arndorfer J, Bride D, Peltan I, Mohr N, Hager D, Prekker M, Mohamed A, Johnson N, Steingrub J, Khan A, Busse L, Duggal A, Wilson J, Qadir N, Mallow C, Kwon J, Exline M, Shapiro N, Columbus C, Vaughan I, Mosier J, Safdar B, Harris E, Chappell J, Stewart L, Swan S, Piedra P, Sahni L, Englund J, Zerr D, Hickey R, Williams J, Rohlfs C, Schlaudecker E, Dosdos D, Moffatt M, Schuster J, Weltmer K, Szilagyi P, Curley T, Mills J, Faryar K, Salata R, Geffel K, Nowalk M, Murthy K, Rose S, Smith M, Wickersham B, Williamson B, Bontrager N, Williams O, Kramer J, Nordstrom L, Monto A, Vaughn I, Dickerson M, McLean C, Noble E, Ray C, Sumner K, Essien I, Fletcher L, Heaton P, Kane S, McEvoy C, Thapa S, Vazquez-Benitez G, Bezi C, Contreras R, Davis G, Lewin B, Mahale P, Patrick R, Qian L, Rayens E, Reyes I, Ryan D, Salas S, Sy L, Yeh M, Zeng X, Fireman B, Goddard K, Hansen J, Jacobson K, Timbol J, Zerbo O, Dunne M, Zhuang Y. Interim Estimates of 2023–24 Seasonal Influenza Vaccine Effectiveness — United States. MMWR Morbidity And Mortality Weekly Report 2024, 73: 168-174. PMID: 38421935, PMCID: PMC10907036, DOI: 10.15585/mmwr.mm7308a3.Peer-Reviewed Original ResearchConceptsVaccine effectivenessInfluenza vaccineInfluenza virus infectionInfluenza-associated hospitalizationsAnnual influenza vaccinationSeasonal influenza vaccineTest-negative case-control study designCase-control study designOutpatient visitsInfluenza VEInfluenza BInfluenza seasonInfluenza APediatric patientsInfluenzaVirus infectionOutpatient settingMonthsVaccinePatientsStudy designHospitalAdultsVisitsUnited States
2023
Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging
de Havenon A, Parasuram N, Crawford A, Mazurek M, Chavva I, Yadlapalli V, Iglesias J, Rosen M, Falcone G, Payabvash S, Sze G, Sharma R, Schiff S, Safdar B, Wira C, Kimberly W, Sheth K. Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging. Journal Of The American Heart Association 2023, 12: e029242. PMID: 37218590, PMCID: PMC10381997, DOI: 10.1161/jaha.122.029242.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesMagnetic resonance imagingSevere white matter hyperintensitiesConventional magnetic resonance imagingResonance imagingRetrospective cohortEmergency departmentMatter hyperintensitiesVascular risk factorsProspective observational studyVascular cognitive impairmentTesla magnetic resonance imagingArea Deprivation IndexProspective cohortAdult patientsAcute careRisk factorsCardiovascular diseaseObservational studyCognitive impairmentPatientsCare magnetic resonance imagingIntermodality agreementCohortDeprivation index
2022
Health status outcomes after spontaneous coronary artery dissection and comparison with other acute myocardial infarction: The VIRGO experience
Murugiah K, Chen L, Dreyer RP, Bouras G, Safdar B, Khera R, Lu Y, Spatz ES, Ng VG, Gupta A, Bueno H, Tweet MS, Spertus JA, Hayes SN, Lansky A, Krumholz HM. Health status outcomes after spontaneous coronary artery dissection and comparison with other acute myocardial infarction: The VIRGO experience. PLOS ONE 2022, 17: e0265624. PMID: 35320296, PMCID: PMC8942215, DOI: 10.1371/journal.pone.0265624.Peer-Reviewed Original ResearchConceptsSpontaneous coronary artery dissectionAcute myocardial infarctionAMI patientsCoronary artery dissectionYoung AMI patientsHealth status outcomesHealth status instrumentsSCAD patientsArtery dissectionMyocardial infarctionStatus outcomesPatientsOutcomesHousehold incomeCollege educationInfarction
2020
Utility of discovery approach using proteomics to create a biomarker profile for coronary microvascular dysfunction
Nowroozpoor A, Gutterman D, Safdar B. Utility of discovery approach using proteomics to create a biomarker profile for coronary microvascular dysfunction. Microvascular Research 2020, 129: 103985. PMID: 32007502, PMCID: PMC10291513, DOI: 10.1016/j.mvr.2020.103985.Peer-Reviewed Original ResearchConceptsCoronary microvascular dysfunctionCoronary flow reserveMicrovascular dysfunctionNormal coronary flow reservePositron emission tomography/Beta-blocker useAcute myocardial infarctionEmission tomography/Regional perfusion defectsSerum proteinsBaseline characteristicsCoronary calcificationMyocardial infarctionTomography/Perfusion defectsCMD patientsFlow reserveSerial measurementsBiomarker profilesAdvanced imagingPatientsPotential biomarkersPotential protein biomarkersSerum samplesObservation unit
2019
Classification of Patients with Coronary Microvascular Dysfunction
Fodeh S, Li T, Jarad H, Safdar B. Classification of Patients with Coronary Microvascular Dysfunction. IEEE/ACM Transactions On Computational Biology And Bioinformatics 2019, 17: 704-711. PMID: 31056516, DOI: 10.1109/tcbb.2019.2914442.Peer-Reviewed Original Research
2018
Identifying Patients with Coronary Microvascular Dysfunction using Machine Learning
Fodeh S, Li T, Jarad H, Safdar B. Identifying Patients with Coronary Microvascular Dysfunction using Machine Learning. 2018, 00: 715-721. DOI: 10.1109/icdmw.2018.00109.Peer-Reviewed Original Research
2017
DOES 3-HOUR POINT OF CARE TROPONIN I PREDICT 6-HOUR POINT OF CARE TROPONIN I FOR PATIENTS IN A CHEST PAIN UNIT
Jacob D, McNamara R, Safdar B. DOES 3-HOUR POINT OF CARE TROPONIN I PREDICT 6-HOUR POINT OF CARE TROPONIN I FOR PATIENTS IN A CHEST PAIN UNIT. Journal Of The American College Of Cardiology 2017, 69: 71. DOI: 10.1016/s0735-1097(17)33460-5.Peer-Reviewed Original Research
2016
Women and Chest Pain: Recognizing the Different Faces of Angina in the Emergency Department.
Safdar B, D'Onofrio G. Women and Chest Pain: Recognizing the Different Faces of Angina in the Emergency Department. The Yale Journal Of Biology And Medicine 2016, 89: 227-38. PMID: 27354848, PMCID: PMC4918863.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseAcute coronary syndromeChest painEmergency departmentMicrovascular dysfunctionED patientsCoronary artery endothelial dysfunctionCause of anginaCoronary artery dissectionCoronary artery spasmPersistent chest painRecurrent chest painSex-specific causesQuality of lifeArtery spasmArtery dissectionCoronary syndromeEndothelial dysfunctionMyocardial bridgingArtery diseasePoor functionCardinal symptomsAnginaPainPatientsMICROVASCULAR ANGINA IN THE ABSENCE OF CORONARY ARTERY DISEASE IS COMMON IN UNDIFFERENTIATED CHEST PAIN PATIENTS IN THE EMERGENCY DEPARTMENT
Safdar B, D’Onofrio G, Dziura J, Russell R, Naftilan M, Johnson C, Sinusas A. MICROVASCULAR ANGINA IN THE ABSENCE OF CORONARY ARTERY DISEASE IS COMMON IN UNDIFFERENTIATED CHEST PAIN PATIENTS IN THE EMERGENCY DEPARTMENT. Journal Of The American College Of Cardiology 2016, 67: 1824. DOI: 10.1016/s0735-1097(16)31825-3.Peer-Reviewed Original ResearchIt’s not all Chest Pain: Sex and Gender in Acute Care Cardiology
Soffler M, McGregor A, Safdar B. It’s not all Chest Pain: Sex and Gender in Acute Care Cardiology. 2016, 6-23. DOI: 10.1017/cbo9781107705944.004.Peer-Reviewed Original Research
2011
Myeloperoxidase in the diagnosis of acute coronary syndromes: The importance of spectrum
Peacock WF, Nagurney J, Birkhahn R, Singer A, Shapiro N, Hollander J, Glynn T, Nowak R, Safdar B, Miller C, Peberdy M, Counselman F, Chandra A, Kosowsky J, Neuenschwander J, Schrock J, Plantholt S, Lewandrowski E, Wong V, Kupfer K, Diercks D. Myeloperoxidase in the diagnosis of acute coronary syndromes: The importance of spectrum. American Heart Journal 2011, 162: 893-899. PMID: 22093206, DOI: 10.1016/j.ahj.2011.08.017.Peer-Reviewed Original ResearchConceptsAcute coronary syndromeNoncardiac chest painCoronary syndromeMyocardial infarctionPredictive valueTroponin ISerial cardiac markersEmergency department patientsNegative predictive valuePositive predictive valuePositive likelihood ratioNegative likelihood ratioChest painLikelihood ratioSymptom onsetUnstable anginaDepartment patientsProspective studyRisk stratificationMean agePerfusion testingC-statisticFinal diagnosisPatientsCardiac markers