2024
Early, Individualized Recommendations for Hospitalized Patients With Acute Kidney Injury
Aklilu A, Menez S, Baker M, Brown D, Dircksen K, Dunkley K, Gaviria S, Farrokh S, Faulkner S, Jones C, Kadhim B, Le D, Li F, Makhijani A, Martin M, Moledina D, Coronel-Moreno C, O’Connor K, Shelton K, Shvets K, Srialluri N, Tan J, Testani J, Corona-Villalobos C, Yamamoto Y, Parikh C, Wilson F, Sundararajan A, Wang A, Schretlen C, Singel D, Moss E, Aune F, Iantosca G, Zou G, Chernova I, Bitzel J, Hernandez J, Lindsley J, Dane K, Orias M, Mehta P, Zassman-Isner S, Wen Y, Freeman N. Early, Individualized Recommendations for Hospitalized Patients With Acute Kidney Injury. JAMA 2024, 332: 2081-2090. PMID: 39454050, PMCID: PMC11669049, DOI: 10.1001/jama.2024.22718.Peer-Reviewed Original ResearchElectronic health recordsUsual careHealth recordsAction teamsClinicians of patientsHospitalized patientsFinal follow-upIntervention groupHealth systemStudy pharmacistsStudy physiciansMain OutcomesAssociated with adverse outcomesAcute kidney injuryRandomized clinical trialsPrimary outcomeIndividualized recommendationsNew HavenAdverse outcomesAKI detectionCareRhode IslandComposite outcomeFollow-upInterventionCausal interpretation of the hazard ratio in randomized clinical trials
Fay M, Li F. Causal interpretation of the hazard ratio in randomized clinical trials. Clinical Trials 2024, 21: 623-635. PMID: 38679930, PMCID: PMC11502288, DOI: 10.1177/17407745241243308.Peer-Reviewed Original ResearchProportional hazards assumptionHazard ratioHazards assumptionConstant hazard ratioRandomized clinical trialsMeasure of treatment effectTime-varying effectsEstimandsRate ratiosUntestable assumptionsIndividual-levelPopulation-level interpretationCausal effectsClinical trialistsIndividual-level interpretationsClinical trialsAssumptionsCausal interpretationAverage changeTreatment effectsPotential outcomes
2023
A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes
Wilson F, Yamamoto Y, Martin M, Coronel-Moreno C, Li F, Cheng C, Aklilu A, Ghazi L, Greenberg J, Latham S, Melchinger H, Mansour S, Moledina D, Parikh C, Partridge C, Testani J, Ugwuowo U. A randomized clinical trial assessing the effect of automated medication-targeted alerts on acute kidney injury outcomes. Nature Communications 2023, 14: 2826. PMID: 37198160, PMCID: PMC10192367, DOI: 10.1038/s41467-023-38532-3.Peer-Reviewed Original ResearchConceptsAcute kidney injuryUsual care groupKidney injuryCare groupAcute Kidney Injury OutcomesAlert groupNon-steroidal anti-inflammatory drugsComposite of progressionHours of randomizationMedications of interestAldosterone system inhibitorsClasses of medicationsProton pump inhibitorsRandomized clinical trialsAnti-inflammatory drugsClinical decision support systemNephrotoxic medicationsHospitalized adultsDiscontinuation ratesCertain medicationsPrimary outcomeSubstantial morbiditySystem inhibitorsPump inhibitorsParallel group
2021
Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach
Yang S, Li F, Thomas L, Li F. Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach. Clinical Trials 2021, 18: 570-581. PMID: 34269087, DOI: 10.1177/17407745211028588.Peer-Reviewed Original ResearchConceptsPropensity score weighting estimatorChance imbalanceAnalysis of randomized clinical trialsAnalysis of covariance estimatorSubgroup analyses of randomized clinical trialsCovariate adjustmentWeight estimationControlled Trial Investigating Outcomes of Exercise Training trialPropensity score weighting methodologyHeterogeneous treatment effectsRandomized clinical trialsCovariance estimationPropensity score modelPropensity modelAnalysis of covariancePropensity score weightingSubgroup sample sizeSubgroup analysisEffects of exercise trainingExercise training trialsOutcome modelScore weightingEvidence of heterogeneous treatment effectsCovariatesUnadjusted estimates
2020
Propensity score weighting for covariate adjustment in randomized clinical trials
Zeng S, Li F, Wang R, Li F. Propensity score weighting for covariate adjustment in randomized clinical trials. Statistics In Medicine 2020, 40: 842-858. PMID: 33174296, DOI: 10.1002/sim.8805.Peer-Reviewed Original Research
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