2024
Treatment Effect Heterogeneity in Acute Kidney Injury Incidence Following Intravenous Antihypertensive Administration for Severe Blood Pressure Elevation During Hospitalization
Ghazi L, Chen X, Harhay M, Hu L, Biswas A, Peixoto A, Li F, Wilson F. Treatment Effect Heterogeneity in Acute Kidney Injury Incidence Following Intravenous Antihypertensive Administration for Severe Blood Pressure Elevation During Hospitalization. American Journal Of Kidney Diseases 2024 PMID: 39580068, DOI: 10.1053/j.ajkd.2024.09.011.Peer-Reviewed Original ResearchAcute kidney injuryAcute kidney injury incidenceSevere hypertensionIV antihypertensivesAntihypertensive treatmentBlood pressureRisk of acute kidney injuryAbstractText Label="SETTINGS &Blood pressure elevationSevere blood pressure elevationSystolic blood pressureIdentifying treatment optionsAntihypertensive administrationKidney injuryAbstractText Label="RATIONALETreatment optionsAntihypertensive effectBP elevationPressure elevationPatient characteristicsDiastolic BPPatientsKidney failureAntihypertensivesHospital admission
2023
Correlates of Spontaneous Blood Pressure Reduction Following Severe Inpatient Hypertension Development
Garg K, Staunton M, Peixoto A, Wilson F, Ghazi L. Correlates of Spontaneous Blood Pressure Reduction Following Severe Inpatient Hypertension Development. American Journal Of Hypertension 2023, 37: 273-279. PMID: 37988620, DOI: 10.1093/ajh/hpad112.Peer-Reviewed Original ResearchBlood pressure reductionSevere hypertensionBP reductionPressure reductionRetrospective cohort studyChronic pulmonary diseaseMultivariable logistic regressionFuture treatment decisionsAntihypertensive medicationsAntihypertensive therapyCohort studyHypertension developmentBP dropHospitalized patientsPulmonary diseaseTreatment guidelinesBP treatmentWorse outcomesTreatment decisionsCardiac arrythmiasPatientsPotassium levelsHigh potassium levelsLogistic regressionDemographic characteristicsImpact of Digital Health Technology on Quality of Life in Patients With Heart Failure
Victoria-Castro A, Martin M, Yamamoto Y, Melchinger H, Weinstein J, Nguyen A, Lee K, Gerber B, Calderon F, Subair L, Lee V, Williams A, Shaw M, Arora T, Garcez A, Desai N, Ahmad T, Wilson F. Impact of Digital Health Technology on Quality of Life in Patients With Heart Failure. JACC Heart Failure 2023, 12: 336-348. PMID: 37943227, DOI: 10.1016/j.jchf.2023.09.022.Peer-Reviewed Original ResearchOverall summary scoreClinical summary scoreTotal symptom scoreKCCQ overall summary scoreUsual careHeart failureQuality of lifeMedian changeKansas City Cardiomyopathy Questionnaire overall summary scoreSummary scoresMedian agePrimary outcomeSymptom scoresPhysical functionLongitudinal carePatientsDigital health toolsLarger studyDigital health technologiesHealth toolsQoLCareDigital interventionsIndependent effectsHealth technologiesElectronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure
Fuery M, Kadhim B, Samsky M, Freeman J, Clark K, Desai N, Wilson F, Ahmed T, Ahmad T. Electronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure. Current Heart Failure Reports 2023, 20: 280-286. PMID: 37552356, DOI: 10.1007/s11897-023-00614-0.Peer-Reviewed Original ResearchConceptsHeart failure patientsFailure patientsElectronic health recordsEHR alertClinical trialsRandomized clinical trialsCare of patientsQuality of careHeart failureClinician satisfactionRandomized fashionRecent FindingsTherePatientsUnmet needPatient careClinical decisionEvidence-based decisionsFuture interventionsCareHealth recordsTrialsCliniciansInterventionFindingsThereIdentification and validation of urinary CXCL9 as a biomarker for diagnosis of acute interstitial nephritis
Moledina D, Obeid W, Smith R, Rosales I, Sise M, Moeckel G, Kashgarian M, Kuperman M, Campbell K, Lefferts S, Meliambro K, Bitzer M, Perazella M, Luciano R, Pober J, Cantley L, Colvin R, Wilson F, Parikh C. Identification and validation of urinary CXCL9 as a biomarker for diagnosis of acute interstitial nephritis. Journal Of Clinical Investigation 2023, 133: e168950. PMID: 37395276, PMCID: PMC10313360, DOI: 10.1172/jci168950.Peer-Reviewed Original ResearchConceptsUrinary CXCL9External validation cohortValidation cohortControl groupAIN diagnosisDiscovery cohortKidney tissueDiagnostic biomarkersAcute interstitial nephritisCXCL9 mRNA expressionAcute kidney injuryBiopsy-confirmed diagnosisAvailable clinical testsNational InstituteKidney injuryTubulointerstitial nephritisInterstitial nephritisKidney biopsyHistological confirmationHistological diagnosisTreatment optionsLymphocyte chemotaxisCXCL9MRNA expression differencesPatientsRisk Prediction for Heart Failure Patients Admitted to the Intensive Care Unit Insights From REVeAL-HF
O’Connor K, Yamamoto Y, Sen S, Samsky M, Wilson F, Desai N, Ahmad T, Fuery M. Risk Prediction for Heart Failure Patients Admitted to the Intensive Care Unit Insights From REVeAL-HF. JACC Heart Failure 2023, 11: 727-728. PMID: 37052546, DOI: 10.1016/j.jchf.2023.01.021.Peer-Reviewed Original ResearchIn-Hospital Observation on Oral Diuretics After Treatment for Acute Decompensated Heart Failure: Evaluating the Utility
Ivey-Miranda J, Rao V, Cox Z, Moreno-Villagomez J, Mahoney D, Maulion C, Bellumkonda L, Turner J, Collins S, Wilson F, Krumholz H, Testani J. In-Hospital Observation on Oral Diuretics After Treatment for Acute Decompensated Heart Failure: Evaluating the Utility. Circulation Heart Failure 2023, 16: e010206. PMID: 36896716, PMCID: PMC10186250, DOI: 10.1161/circheartfailure.122.010206.Peer-Reviewed Original ResearchConceptsAcute decompensated heart failureDecompensated heart failureDiuretic responseDiuretic dosingOral diureticsHeart failureMulticenter cohortHospital observationLower readmission ratesNet fluid balanceDays postdischargeReadmission ratesHospital readmissionUrine outputReadmission riskFluid statusFluid balanceHospital measuresDose selectionCohortProvider decisionsWeight changeReadmissionDiureticsPatientsHyperspectral imaging in systemic sclerosis-associated Raynaud phenomenon
Teaw S, Gupta A, Williams A, Wilson F, Sumpio B, Sumpio B, Hinchcliff M. Hyperspectral imaging in systemic sclerosis-associated Raynaud phenomenon. Arthritis Research & Therapy 2023, 25: 10. PMID: 36670487, PMCID: PMC9854186, DOI: 10.1186/s13075-023-02990-3.Peer-Reviewed Original ResearchConceptsRaynaud's condition scoreCochin Hand Function ScaleSSc patientsClinic settingPatient-reported outcome instrumentsResultsNinety-two percentSystemic sclerosis patientsMann-Whitney U testHealthy control participantsCHF scoreSSc durationSSc-RPDigital ulcersCutaneous SScProvocation challengeRaynaud's phenomenonSclerosis patientsClinical trialsOutcome instrumentsOxygen saturationBurden assessmentPatientsCold provocationHemoglobin concentrationDisease severity
2022
Safety and Adequacy of Kidney Biopsy Procedure in Patients with Obesity
Qian L, Menez S, Hu D, Weinstein J, Melchinger H, Thiessen-Philbrook H, Luciano R, Turner J, Perazella M, Villalobos C, Shaw M, Wilson F, Parikh C, Moledina D. Safety and Adequacy of Kidney Biopsy Procedure in Patients with Obesity. Kidney360 2022, 4: 98-101. PMID: 36700910, PMCID: PMC10101611, DOI: 10.34067/kid.0006602022.Peer-Reviewed Original ResearchEffect of intravenous antihypertensives on outcomes of severe hypertension in hospitalized patients without acute target organ damage
Ghazi L, Li F, Simonov M, Yamamoto Y, Nugent J, Greenberg J, Bakhoum C, Peixoto A, Wilson F. Effect of intravenous antihypertensives on outcomes of severe hypertension in hospitalized patients without acute target organ damage. Journal Of Hypertension 2022, 41: 288-294. PMID: 36583354, PMCID: PMC9799038, DOI: 10.1097/hjh.0000000000003328.Peer-Reviewed Original ResearchConceptsAcute target organ damageTarget organ damageSevere hypertensionOrgan damageIntravenous antihypertensivesBP elevationClinical outcomesMyocardial injuryTarget end-organ damageOverlap propensity scoreSevere BP elevationAcute kidney injuryBlood pressure reductionEnd-organ damageRisk of strokeInpatient hypertensionCardiovascular eventsIndex hospitalizationKidney injuryRetrospective studyHypertensionAntihypertensivesHospitalizationCox modelPatientsRationale and design of a pragmatic trial aimed at improving treatment of hyperlipidemia in outpatients with very high risk atherosclerotic cardiovascular disease: A pragmatic trial of messaging to providers about treatment of hyperlipidemia (PROMPT-LIPID)
Shah NN, Ghazi L, Yamamoto Y, Martin M, Simonov M, Riello RJ, Faridi KF, Ahmad T, Wilson FP, Desai NR. Rationale and design of a pragmatic trial aimed at improving treatment of hyperlipidemia in outpatients with very high risk atherosclerotic cardiovascular disease: A pragmatic trial of messaging to providers about treatment of hyperlipidemia (PROMPT-LIPID). American Heart Journal 2022, 253: 76-85. PMID: 35841944, PMCID: PMC9936562, DOI: 10.1016/j.ahj.2022.07.002.Peer-Reviewed Original ResearchConceptsLipid-lowering therapyAtherosclerotic cardiovascular diseaseTreatment of hyperlipidemiaProportion of patientsElectronic health recordsPragmatic trialHigh riskCardiovascular diseaseProprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitorsHigh-risk atherosclerotic cardiovascular diseaseSubtilisin/kexin type 9 inhibitorsLow-density lipoprotein cholesterol reductionImportant public health implicationsEnrollment of patientsPublic health implicationsUsual careSecondary outcomesPrimary outcomeGuideline recommendationsCholesterol reductionPatientsLDLHyperlipidemiaScalable interventionsOutpatientsPragmatic randomized trial assessing the impact of digital health technology on quality of life in patients with heart failure: Design, rationale and implementation
Victoria‐Castro A, Martin M, Yamamoto Y, Ahmad T, Arora T, Calderon F, Desai N, Gerber B, Lee KA, Jacoby D, Melchinger H, Nguyen A, Shaw M, Simonov M, Williams A, Weinstein J, Wilson FP. Pragmatic randomized trial assessing the impact of digital health technology on quality of life in patients with heart failure: Design, rationale and implementation. Clinical Cardiology 2022, 45: 839-849. PMID: 35822275, PMCID: PMC9346973, DOI: 10.1002/clc.23848.Peer-Reviewed Original ResearchConceptsQuality of lifeHF patientsYale New Haven Health SystemKansas City Cardiomyopathy QuestionnaireDigital health technologiesHeart failure careHealth technologiesDigital health interventionsDisease exacerbationHF clinicUsual carePrimary outcomeClinical outcomesHeart failurePatient engagementPatientsHealth interventionsDigital health toolsPatient empowermentHealth systemPatient usabilityHealth toolsEarly detectionFirst enrollmentHealthcare systemUrine testing to differentiate glomerular from tubulointerstitial diseases on kidney biopsy
Tran AC, Melchinger H, Weinstein J, Shaw M, Kent C, Perazella MA, Wilson FP, Parikh CR, Moledina DG. Urine testing to differentiate glomerular from tubulointerstitial diseases on kidney biopsy. Practical Laboratory Medicine 2022, 30: e00271. PMID: 35465621, PMCID: PMC9018443, DOI: 10.1016/j.plabm.2022.e00271.Peer-Reviewed Original ResearchTubulointerstitial diseaseKidney biopsyGlomerular diseaseUrine albuminHistological diagnosisUrine uromodulinUrine testsHigher urine albuminUrine sediment microscopyCohort of participantsDipstick hematuriaTubular injuryAppropriate patientsUrine testingMultivariable modelHigher oddsBiopsyClinical decisionSediment microscopyDiseasePatientsHealth biomarkersUrine samplesDiagnosisCohortInferior Vena Cava Diameter Measurement Provides Distinct and Complementary Information to Right Atrial Pressure in Acute Decompensated Heart Failure
Griffin M, Ivey-Miranda J, McCallum W, Sarnak M, Eder M, Bellumkonda L, Maulion C, Wilson FP, Rao VS, Testani J. Inferior Vena Cava Diameter Measurement Provides Distinct and Complementary Information to Right Atrial Pressure in Acute Decompensated Heart Failure. Journal Of Cardiac Failure 2022, 28: 1217-1221. PMID: 35301109, DOI: 10.1016/j.cardfail.2022.02.014.Peer-Reviewed Original ResearchConceptsRight atrial pressureAcute decompensated heart failureDecompensated heart failureIVC diameterAtrial pressureHeart failureInferior vena cava diameter (IVCD) measurementBaseline right atrial pressureInferior vena cava (IVC) measurementsPulmonary artery catheterVena cava diameter measurementsArtery catheterHemoglobin levelsIntravascular volumeVenous systemESCAPE trialIVC measurementsBlood volumeRAP measurementsSurvival ratePatientsVolume assessmentHigh complianceModest correlationMedianSevere inpatient hypertension prevalence and blood pressure response to antihypertensive treatment
Ghazi L, Li F, Chen X, Simonov M, Yamamoto Y, Biswas A, Hanna J, Shah T, Townsend R, Peixoto A, Wilson FP. Severe inpatient hypertension prevalence and blood pressure response to antihypertensive treatment. Journal Of Clinical Hypertension 2022, 24: 339-349. PMID: 35174627, PMCID: PMC8925013, DOI: 10.1111/jch.14431.Peer-Reviewed Original ResearchConceptsSevere hypertensionBlood pressure responseBP elevationUntreated patientsCox proportional hazards modelRetrospective cohort studyPressure responseProportional hazards modelAntihypertensive treatmentInpatient hypertensionMore comorbiditiesPossible overtreatmentHospitalized adultsCohort studyHypertension prevalenceArterial pressureHospitalized patientsTreatment guidelinesHypertensionGreater rateHazards modelPatientsAntihypertensivesTreatmentAdmission
2021
Development and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data
Moledina DG, Eadon MT, Calderon F, Yamamoto Y, Shaw M, Perazella MA, Simonov M, Luciano R, Schwantes-An TH, Moeckel G, Kashgarian M, Kuperman M, Obeid W, Cantley LG, Parikh CR, Wilson FP. Development and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data. Nephrology Dialysis Transplantation 2021, 37: 2214-2222. PMID: 34865148, PMCID: PMC9755995, DOI: 10.1093/ndt/gfab346.Peer-Reviewed Original ResearchConceptsAcute interstitial nephritisInterstitial nephritisUrine biomarkersBiopsy-proven acute interstitial nephritisElectronic health record dataExternal validation cohortTypical clinical featuresBlood urea nitrogenTumor necrosis factorCharacteristic curve analysisHealth record dataExternal validationElectronic health recordsAIN diagnosisModest AUCsSerum creatinineCreatinine ratioKidney biopsyClinical featuresValidation cohortNecrosis factorUnrecognized casesInterleukin-9PatientsUrea nitrogenRationale and design of the Kidney Precision Medicine Project
de Boer IH, Alpers CE, Azeloglu EU, Balis UGJ, Barasch JM, Barisoni L, Blank KN, Bomback AS, Brown K, Dagher PC, Dighe AL, Eadon MT, El-Achkar TM, Gaut JP, Hacohen N, He Y, Hodgin JB, Jain S, Kellum JA, Kiryluk K, Knight R, Laszik ZG, Lienczewski C, Mariani LH, McClelland RL, Menez S, Moledina DG, Mooney SD, O’Toole J, Palevsky PM, Parikh CR, Poggio ED, Rosas SE, Rosengart MR, Sarwal MM, Schaub JA, Sedor JR, Sharma K, Steck B, Toto RD, Troyanskaya OG, Tuttle KR, Vazquez MA, Waikar SS, Williams K, Wilson FP, Zhang K, Iyengar R, Kretzler M, Himmelfarb J, Project K, Knight R, Lecker S, Stillman I, Waikar S, Mcmahon G, Weins A, Short S, Hacohen N, Hoover P, Aulisio M, Cooperman L, Herlitz L, O’Toole J, Poggio E, Sedor J, Jolly S, Appelbaum P, Balderes O, Barasch J, Bomback A, Canetta P, d’Agati V, Kiryluk K, Kudose S, Mehl K, Radhakrishnan J, Weng C, Barisoni L, Alexandrov T, Ashkar T, Barwinska D, Dagher P, Dunn K, Eadon M, Ferkowicz M, Kelly K, Sutton T, Winfree S, Menez S, Parikh C, Rosenberg A, Villalobos P, Malik R, Fine D, Atta M, Trujillo J, Slack A, Rosas S, Williams M, Azeloglu E, He C, Iyengar R, Hansen J, Parikh S, Rovin B, Anderton C, Pasa-Tolic L, Velickovic D, Lukowski J, Oliver G, Ardayfio J, Bebiak J, Brown K, Campbell T, Campbell C, Hayashi L, Jefferson N, Koewler R, Roberts G, Saul J, Shpigel A, Stutzke E, Wright L, Miegs L, Pinkeney R, Sealfon R, Troyanskaya O, Tuttle K, Dobi D, Goltsev Y, Lake B, Zhang K, Joanes M, Laszik Z, Schroeder A, Sarwal M, Sigdel T, Balis U, Blanc V, He O, Hodgin J, Kretzler M, Mariani L, Menon R, Otto E, Schaub J, Steck B, Lienczewski C, Eddy S, Elder M, Hall D, Kellum J, Kruth M, Murugan R, Palevsky P, Randhawa P, Rosengart M, Sims-Lucas S, Stefanick M, Stull S, Tublin M, Alpers C, de Boer I, Dighe A, Himmelfarb J, Mcclelland R, Mooney S, Shankland S, Williams K, Blank K, Carson J, Dowd F, Drager Z, Park C, Sharma K, Zhang G, Bansal S, Venkatachalam M, Kermani A, Lee S, Lu C, Miller T, Moe O, Park H, Sambandam K, Sanchez F, Torrealba J, Robert T, Vazquez M, Wang N, Gaut J, Jain S, Vijayan A, Luciano R, Moledina D, Ugochukwu U, Wilson F, Alfano S. Rationale and design of the Kidney Precision Medicine Project. Kidney International 2021, 99: 498-510. PMID: 33637194, PMCID: PMC8330551, DOI: 10.1016/j.kint.2020.08.039.Peer-Reviewed Original ResearchConceptsAcute kidney injuryChronic kidney diseaseKidney Precision Medicine ProjectKidney biopsyKidney diseasePrecision Medicine ProjectKidney tissueMulticenter prospective cohort studyProtocol kidney biopsiesProspective cohort studyDeep clinical phenotypingPrecision medicine approachMedicine ProjectKidney injuryClinical characteristicsCohort studyClinical outcomesSubgroup analysisMorbid diseaseNovel therapiesPreventive strategiesClinical phenotypingDisease subgroupsToxic injuryPatientsA neutrophil activation signature predicts critical illness and mortality in COVID-19
Meizlish ML, Pine AB, Bishai JD, Goshua G, Nadelmann ER, Simonov M, Chang CH, Zhang H, Shallow M, Bahel P, Owusu K, Yamamoto Y, Arora T, Atri DS, Patel A, Gbyli R, Kwan J, Won CH, Dela Cruz C, Price C, Koff J, King BA, Rinder HM, Wilson FP, Hwa J, Halene S, Damsky W, van Dijk D, Lee AI, Chun HJ. A neutrophil activation signature predicts critical illness and mortality in COVID-19. Blood Advances 2021, 5: 1164-1177. PMID: 33635335, PMCID: PMC7908851, DOI: 10.1182/bloodadvances.2020003568.Peer-Reviewed Original ResearchConceptsCritical illnessHealth system databaseNeutrophil activationCOVID-19Neutrophil activation signatureSevere COVID-19Intensive care unitGranulocyte colony-stimulating factorHigh mortality rateColony-stimulating factorSystem databaseHepatocyte growth factorClinical decompensationNeutrophil countImmune hyperactivationCare unitEarly elevationLipocalin-2Interleukin-8Longitudinal cohortClinical dataMortality ratePatientsIllnessActivation signatureComputer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis
Chandrasekaran AC, Fu Z, Kraniski R, Wilson FP, Teaw S, Cheng M, Wang A, Ren S, Omar IM, Hinchcliff ME. Computer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis. Arthritis Research & Therapy 2021, 23: 6. PMID: 33407814, PMCID: PMC7788847, DOI: 10.1186/s13075-020-02392-9.Peer-Reviewed Original ResearchConceptsSSc patientsCalcinosis cutisCC lesionsSystemic sclerosisBland-Altman plotsConcordance correlation coefficientIndependent radiologistsLin's concordance correlation coefficientConfidence intervalsValid clinical trialsExpert musculoskeletal radiologistsSpearman correlation coefficientClinical trialsMusculoskeletal radiologistsPatientsBurden quantificationLesionsMean differenceGold standardRadiologistsCorrelation coefficientLonger lengthPhalanxSpearman's rhoValidation study
2020
Prediction of outcomes after acute kidney injury in hospitalised patients: protocol for a systematic review
Arora T, Martin M, Grimshaw A, Mansour S, Wilson FP. Prediction of outcomes after acute kidney injury in hospitalised patients: protocol for a systematic review. BMJ Open 2020, 10: e042035. PMID: 33371041, PMCID: PMC7757434, DOI: 10.1136/bmjopen-2020-042035.Peer-Reviewed Original ResearchConceptsAcute kidney injuryPrediction of outcomeSystematic reviewKidney injuryOutcomes of AKIResolution of AKIProgression of AKILong-term outcomesBias assessment toolRisk of biasMultivariable predictive modelMeta-Analyses (PRISMA) guidelinesPreferred Reporting ItemsFull-text reviewPrediction model RiskAKI careCohort studyNegative long-term outcomesThird reviewerReporting ItemsAbstract screeningComprehensive searchPatientsCommon diseaseData extraction