2020
Surgeons: Buyer beware—does “universal” risk prediction model apply to patients universally?
Mori M, Shahian DM, Huang C, Li SX, Normand ST, Geirsson A, Krumholz HM. Surgeons: Buyer beware—does “universal” risk prediction model apply to patients universally? Journal Of Thoracic And Cardiovascular Surgery 2020, 160: 176-179.e2. PMID: 32241616, DOI: 10.1016/j.jtcvs.2019.11.144.Peer-Reviewed Original Research
2019
Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention
Huang C, Li SX, Mahajan S, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention. JAMA Network Open 2019, 2: e1916021. PMID: 31755952, PMCID: PMC6902830, DOI: 10.1001/jamanetworkopen.2019.16021.Peer-Reviewed Original ResearchConceptsCreatinine level increaseAcute kidney injuryPercutaneous coronary interventionContrast volumeAKI riskKidney injuryCoronary interventionBaseline riskCardiology National Cardiovascular Data Registry's CathPCI RegistryNational Cardiovascular Data Registry CathPCI RegistryRisk of AKIAcute Kidney Injury AssociatedDifferent baseline risksPCI safetyCathPCI RegistryInjury AssociatedMean ageDerivation setPreprocedural riskMAIN OUTCOMEAmerican CollegePrognostic studiesUS hospitalsCalibration slopeValidation set
2017
Discovery of temporal and disease association patterns in condition-specific hospital utilization rates
Haimovich JS, Venkatesh AK, Shojaee A, Coppi A, Warner F, Li SX, Krumholz HM. Discovery of temporal and disease association patterns in condition-specific hospital utilization rates. PLOS ONE 2017, 12: e0172049. PMID: 28355219, PMCID: PMC5371293, DOI: 10.1371/journal.pone.0172049.Peer-Reviewed Original Research