2018
Clustering and climate associations of Kawasaki Disease in San Diego County suggest environmental triggers
Rypdal M, Rypdal V, Burney J, Cayan D, Bainto E, Skochko S, Tremoulet A, Creamean J, Shimizu C, Kim J, Burns J. Clustering and climate associations of Kawasaki Disease in San Diego County suggest environmental triggers. Scientific Reports 2018, 8: 16140. PMID: 30420674, PMCID: PMC6232126, DOI: 10.1038/s41598-018-33124-4.Peer-Reviewed Original ResearchConceptsKawasaki diseaseKD casesCases of KDEnvironmental triggersMore environmental triggersCertain clinical characteristicsRegional children's hospitalClinical characteristicsKD patientsChildren's HospitalDisease characteristicsSusceptible childrenHeart diseaseCommon causeDiseaseEpisodic exposurePatientsHospitalGene expression analysisSan Diego CountyGene expression patternsExpression patternsDisease incidenceTemporal clusters
2017
A risk prediction score for acute kidney injury in the intensive care unit
Malhotra R, Kashani K, Macedo E, Kim J, Bouchard J, Wynn S, Li G, Ohno-Machado L, Mehta R. A risk prediction score for acute kidney injury in the intensive care unit. Nephrology Dialysis Transplantation 2017, 32: 814-822. PMID: 28402551, DOI: 10.1093/ndt/gfx026.Peer-Reviewed Original ResearchConceptsAcute kidney injuryIntensive care unitAcute risk factorsRisk score modelICU admissionKidney injuryCare unitValidation cohortKidney diseaseRisk factorsTest cohortTreatment of AKIAtherosclerotic coronary vascular diseaseMulticenter prospective cohort studyGlobal Outcomes criteriaChronic kidney diseaseHigh-risk patientsProspective cohort studyChronic liver diseaseCongestive heart failureTime of screeningCoronary vascular diseaseRisk prediction scoreEarly therapeutic interventionExternal validation cohort
2014
Reducing Communication Delays and Improving Quality of Care with a Tuberculosis Laboratory Information System in Resource Poor Environments: A Cluster Randomized Controlled Trial
Blaya J, Shin S, Yagui M, Contreras C, Cegielski P, Yale G, Suarez C, Asencios L, Bayona J, Kim J, Fraser H. Reducing Communication Delays and Improving Quality of Care with a Tuberculosis Laboratory Information System in Resource Poor Environments: A Cluster Randomized Controlled Trial. PLOS ONE 2014, 9: e90110. PMID: 24721980, PMCID: PMC3982951, DOI: 10.1371/journal.pone.0090110.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAntitubercular AgentsClinical Laboratory Information SystemsCommunicationDatabases, FactualDeveloping CountriesFemaleHumansLaboratoriesMaleMedical ErrorsMicrobial Sensitivity TestsMiddle AgedPeruPovertyProportional Hazards ModelsProspective StudiesQuality ImprovementQuality of Health CareResearch DesignTreatment OutcomeTuberculosisTuberculosis, Multidrug-ResistantYoung AdultConceptsIntervention health centersHealth centersDrug susceptibility testLaboratory information systemMDR-TB risk factorsMulti-drug resistant tuberculosisMDR-TB patientsPrimary health centersMain outcome measuresCulture convertCulture conversionResistant tuberculosisRisk factorsPatient outcomesClinical impactOutcome measuresDays less timePatientsPatient treatmentStudy designSusceptibility testsBaseline dataTrialsOnly studyTreatment