2023
The Aggressive Incidents in Medical Settings (AIMS) Study: Advancing Measurement to Promote Prevention of Workplace Violence
Iennaco J, Molle E, Allegra M, Depukat D, Parkosewich J. The Aggressive Incidents in Medical Settings (AIMS) Study: Advancing Measurement to Promote Prevention of Workplace Violence. The Joint Commission Journal On Quality And Patient Safety 2023, 50: 166-176. PMID: 38158280, DOI: 10.1016/j.jcjq.2023.11.005.Peer-Reviewed Original ResearchInpatient medical unitsCohort studyMedical unitsCare staffAggressive incidentsAggressive eventsIncidence of patientsMultisite cohort studyNumber of patientsAcute care hospitalsPatient care staffExposure rateHealth care settingsFoods/drinksCare hospitalPatient aggressionMedication administrationAcademic hospitalCommunity hospitalCare settingsCommon precipitantsPreventive interventionsPatient safetyHospitalAdditional studiesTargeting the NLRP3 inflammasome and associated cytokines in scleroderma associated interstitial lung disease
Woo S, Gandhi S, Ghincea A, Saber T, Lee C, Ryu C. Targeting the NLRP3 inflammasome and associated cytokines in scleroderma associated interstitial lung disease. Frontiers In Cell And Developmental Biology 2023, 11: 1254904. PMID: 37849737, PMCID: PMC10577231, DOI: 10.3389/fcell.2023.1254904.Peer-Reviewed Original ResearchSSc-ILDNLRP3 inflammasomeScleroderma-Associated Interstitial Lung DiseaseAssociated interstitial lung diseaseInterstitial lung diseaseNormal lung architectureImproved treatment optionsProgressive fibrotic replacementNovel pathophysiologic insightsComplex rheumatic diseasesImmune dysregulationPathophysiologic insightsRheumatic diseasesClinical benefitIL-18IL-1βLung diseaseTreatment optionsFibrotic replacementLung architectureNovel therapiesClinical significanceInnate immunityDiseaseAdditional studiesThe Epidemiology of Palmoplantar Pustulosis: An Analysis of Multiple Health Insurance Claims and Electronic Health Records Databases
Ramcharran D, Strober B, Gordon K, DeKlotz C, Fakharzadeh S, Yang Y, Swerdel J, Hardin J, Dronavalli S, Paller A. The Epidemiology of Palmoplantar Pustulosis: An Analysis of Multiple Health Insurance Claims and Electronic Health Records Databases. Advances In Therapy 2023, 40: 5090-5101. PMID: 37737889, PMCID: PMC10567878, DOI: 10.1007/s12325-023-02669-w.Peer-Reviewed Original ResearchConceptsElectronic health record databaseHealth record databasePPP patientsRecord databaseHigher baseline useChronic inflammatory conditionsPost-diagnosis treatmentHealth insurance claimsConclusionsThe burdenPotential miscodingPalmoplantar pustulosisSterile pustulesBaseline characteristicsMetabolic syndromeBaseline useInflammatory conditionsIncidence ratePopulation-based approachPrevalence estimatesPPP prevalenceEpidemiologyAdditional studiesPustulosisDisease treatmentPatientsCirculating tumor DNA association with residual cancer burden after neoadjuvant chemotherapy in triple-negative breast cancer in TBCRC 030 ☆
Parsons H, Blewett T, Chu X, Sridhar S, Santos K, Xiong K, Abramson V, Patel A, Cheng J, Brufsky A, Rhoades J, Force J, Liu R, Traina T, Carey L, Rimawi M, Miller K, Stearns V, Specht J, Falkson C, Burstein H, Wolff A, Winer E, Tayob N, Krop I, Makrigiorgos G, Golub T, Mayer E, Adalsteinsson V. Circulating tumor DNA association with residual cancer burden after neoadjuvant chemotherapy in triple-negative breast cancer in TBCRC 030 ☆. Annals Of Oncology 2023, 34: 899-906. PMID: 37597579, PMCID: PMC10898256, DOI: 10.1016/j.annonc.2023.08.004.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerResidual cancer burdenNeoadjuvant chemotherapyCancer burdenBreast cancerWeek 3Additional neoadjuvant chemotherapyPlasma samplesCase-control analysisCtDNA clearanceCtDNA positivityNeoadjuvant paclitaxelDisease recurrenceProspective studyWeek 12RCB 0CtDNA assaysPatientsSufficient tissueChemotherapyTumor fractionTumor DNARCB-3RespondersAdditional studiesVirtual Reality Is an Effective Tool for Learning Techniques in Arthroplasty: A Systematic Review and Meta-Analysis
Pettinelli N, Lee A, Lee M, Mahatme R, Gillinov S, Jimenez A. Virtual Reality Is an Effective Tool for Learning Techniques in Arthroplasty: A Systematic Review and Meta-Analysis. JAAOS Global Research And Reviews 2023, 7: e23.00078. PMCID: PMC10284329, DOI: 10.5435/jaaosglobal-d-23-00078.Peer-Reviewed Original ResearchOrthopaedic surgery residentsControl groupSystematic reviewSurgery residentsObjective Structured AssessmentStructured AssessmentEffective training modalityPaucity of literatureResidents/studentsCochrane TrialsProcedure durationSurgical techniqueInclusion criteriaArthroplastyMeta-analysisTotal sample sizeAdditional studiesPatient care performanceCare performanceOrthopaedic traineesTraining modalitiesEffects of VRLiterature reportingSurgical skill developmentSignificant differencesAntimicrobial resistance in Escherichia coli and Klebsiella pneumoniae urine isolates from a national sample of home-based primary care patients with dementia
Datta R, Pirruccio G, Fried T, O’Leary J, Zullo A, Cohen A. Antimicrobial resistance in Escherichia coli and Klebsiella pneumoniae urine isolates from a national sample of home-based primary care patients with dementia. Infection Control And Hospital Epidemiology 2023, 44: 1873-1876. PMID: 37211919, PMCID: PMC10663380, DOI: 10.1017/ice.2023.98.Peer-Reviewed Original ResearchHarmful algal bloom aerosols and human health
Lim C, Yoon J, Reynolds K, Gerald L, Ault A, Heo S, Bell M. Harmful algal bloom aerosols and human health. EBioMedicine 2023, 93: 104604. PMID: 37164781, PMCID: PMC10363441, DOI: 10.1016/j.ebiom.2023.104604.Peer-Reviewed Original ResearchConceptsHealth effectsPublic health burdenDose-response relationshipPopulation-level exposureExposure assessment methodsAdverse health effectsRespiratory outcomesHealth burdenEpidemiological designHealth databasesLong-term exposureHealth outcomesEvidence gapsConcurrent exposureThreshold doseMixture of toxinsVulnerable subpopulationsAdditional studiesNumber of studiesSubsequent exposureExposureOutcomesHuman healthToxin concentrationHealthCausal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia
Blette B, Granholm A, Li F, Shankar-Hari M, Lange T, Munch M, Møller M, Perner A, Harhay M. Causal Bayesian machine learning to assess treatment effect heterogeneity by dexamethasone dose for patients with COVID-19 and severe hypoxemia. Scientific Reports 2023, 13: 6570. PMID: 37085591, PMCID: PMC10120498, DOI: 10.1038/s41598-023-33425-3.Peer-Reviewed Original ResearchConceptsCritical COVID-19Better long-term outcomesCOVID-19Entire trial populationStandardized dosing protocolsMultiple patient characteristicsDose of dexamethasoneLong-term outcomesIL-6 inhibitorsDexamethasone doseSevere hypoxemiaMost patientsPatient characteristicsRespiratory supportDiabetes mellitusClinical outcomesDosing protocolTrial populationTreatment effect heterogeneityPatient featuresPatientsAdditional studiesDexamethasoneDoseMore evidenceYoghurt Intake and Gastric Cancer: A Pooled Analysis of 16 Studies of the StoP Consortium
Collatuzzo G, Negri E, Pelucchi C, Bonzi R, Turati F, Rabkin C, Liao L, Sinha R, Palli D, Ferraroni M, López-Carrillo L, Lunet N, Morais S, Albanes D, Weinstein S, Parisi D, Zaridze D, Maximovitch D, Dierssen-Sotos T, Jiménez-Moleón J, Vioque J, de la Hera M, Curado M, Dias-Neto E, Hernández-Ramírez R, López-Cervantes M, Ward M, Tsugane S, Hidaka A, Lagiou A, Lagiou P, Zhang Z, Trichopoulou A, Karakatsani A, Camargo M, La Vecchia C, Boffetta P. Yoghurt Intake and Gastric Cancer: A Pooled Analysis of 16 Studies of the StoP Consortium. Nutrients 2023, 15: 1877. PMID: 37111097, PMCID: PMC10147010, DOI: 10.3390/nu15081877.Peer-Reviewed Original ResearchConceptsGastric cancerYoghurt intakeYoghurt consumptionOdds ratioMultivariable unconditional logistic regression modelStomach cancer Pooling (StoP) ProjectStudy-specific odds ratiosUnconditional logistic regression modelsFood frequency questionnairePopulation-based studyConfidence intervalsIntestinal gastric cancerLogistic regression modelsFrequency questionnaireIntestinal casesPooled analysisProtective effectPooling ProjectGut microbiotaGC casesDisease riskGC riskAdditional studiesIntakeCardiaMolecular and Sociodemographic Colorectal Cancer Disparities in Latinos Living in Puerto Rico
Perez-Mayoral J, Gonzalez-Pons M, Centeno-Girona H, Montes-Rodríguez I, Soto-Salgado M, Suárez B, Rodríguez N, Colón G, Sevilla J, Jorge D, Llor X, Xicola R, Toro D, Tous-López L, Torres-Torres M, Reyes J, López-Acevedo N, Goel A, Rodríguez-Quilichini S, Cruz-Correa M. Molecular and Sociodemographic Colorectal Cancer Disparities in Latinos Living in Puerto Rico. Genes 2023, 14: 894. PMID: 37107652, PMCID: PMC10138302, DOI: 10.3390/genes14040894.Peer-Reviewed Original ResearchConceptsEarly-onset colorectal cancerColorectal cancerCpG island methylator phenotypeMicrosatellite instabilityExact testColorectal cancer disparitiesSporadic colorectal cancerFisher's exact testMolecular carcinogenic pathwaysClinicopathologic featuresClinicopathological characteristicsCancer deathCancer disparitiesColorectal tumorsCarcinogenic pathwaysHispanic menMutation statusTumorsAdditional studiesMethylator phenotypeHispanic subpopulationsChi-squaredAmerindian admixtureMolecular pathwaysMolecular markersStorage differentially impacts alloimmunization to distinct red cell antigens following transfusion in mice
Maier C, Jajosky R, Patel S, Verkerke H, Fuller M, Allen J, Zerra P, Fasano R, Chonat S, Josephson C, Gibb D, Eisenbarth S, Luckey C, Hudson K, Hendrickson J, Arthur C, Stowell S. Storage differentially impacts alloimmunization to distinct red cell antigens following transfusion in mice. Transfusion 2023, 63: 457-462. PMID: 36708051, PMCID: PMC10414794, DOI: 10.1111/trf.17251.Peer-Reviewed Original ResearchConceptsKEL RBCsAntibody formationAntigen levelsRed blood cell alloimmunizationIgG antibody productionDifferent clinical outcomesIgG antibody formationRed cell antigensAlloantibody productionRBC alloimmunizationClinical outcomesTransfusionAlloimmunizationRBC clearanceCell antigensClinical experienceSpecific antigenAntibody productionRBC antigensRBC survivalAntibody developmentModel antigenAntigenAdditional studiesFresh RBCs
2022
Dickkopf1 fuels inflammatory cytokine responses
Jaschke N, Pählig S, Sinha A, Adolph T, Colunga M, Hofmann M, Wang A, Thiele S, Schwärzler J, Kleymann A, Gentzel M, Tilg H, Wielockx B, Hofbauer L, Rauner M, Göbel A, Rachner T. Dickkopf1 fuels inflammatory cytokine responses. Communications Biology 2022, 5: 1391. PMID: 36539532, PMCID: PMC9765382, DOI: 10.1038/s42003-022-04368-8.Peer-Reviewed Original ResearchConceptsInflammatory cytokine responseCytokine responsesCell-autonomous functionCell-autonomous mechanismsElevated cytokine productionMolecular underpinningsNon-malignant cellsCytokine receptorsHuman diseasesPharmacological neutralizationInflammatory toneInflammatory componentCytokine productionCancer cellsGenetic deletionInflammatory responseRelA activityDKK1Mouse modelDisease trajectoriesHealthy populationCell modelAdditional studiesInflammationCellsModulation of the Association Between Age and Death by Risk Factor Burden in Critically Ill Patients With COVID-19
Sunderraj A, Cho C, Cai X, Gupta S, Mehta R, Isakova T, Leaf D, Srivastava A, Walther C, Anumudu S, Arunthamakun J, Kopecky K, Milligan G, McCullough P, Nguyen T, Shaefi S, Krajewski M, Shankar S, Pannu A, Valencia J, Waikar S, Kibbelaar Z, Athavale A, Hart P, Upadhyay S, Vohra I, Oyintayo A, Green A, Rachoin J, Schorr C, Shea L, Edmonston D, Mosher C, Shehata A, Cohen Z, Allusson V, Bambrick-Santoyo G, Bhatti N, Mehta B, Williams A, Brenner S, Walters P, Go R, Rose K, Hernán M, Zhou A, Kim E, Lisk R, Chan L, Mathews K, Coca S, Altman D, Saha A, Soh H, Wen H, Bose S, Leven E, Wang J, Mosoyan G, Nadkarni G, Pattharanitima P, Gallagher E, Friedman A, Guirguis J, Kapoor R, Meshberger C, Kelly K, Parikh C, Garibaldi B, Corona-Villalobos C, Wen Y, Menez S, Malik R, Cervantes C, Gautam S, Mallappallil M, Ouyang J, John S, Yap E, Melaku Y, Mohamed I, Bajracharya S, Puri I, Thaxton M, Bhattacharya J, Wagner J, Boudourakis L, Nguyen H, Ahoubim A, Thomas L, Sirganagari D, Guru P, Kashani K, Tehranian S, Zhou Y, Bergl P, Rodriguez J, Shah J, Gupta M, Kumar P, Lazarous D, Kassaye S, Melamed M, Johns T, Mocerino R, Prudhvi K, Zhu D, Levy R, Azzi Y, Fisher M, Yunes M, Sedaliu K, Golestaneh L, Brogan M, Kumar N, Chang M, Thakkar J, Raichoudhury R, Athreya A, Farag M, Schenck E, Cho S, Plataki M, Alvarez-Mulett S, Gomez-Escobar L, Pan D, Lee S, Krishnan J, Whalen W, Charytan D, Macina A, Chaudhry S, Wu B, Modersitzki F, Srivastava A, Leidner A, Martinez C, Kruser J, Wunderink R, Hodakowski A, Velez J, Price-Haywood E, Matute-Trochez L, Hasty A, Mohamed M, Avasare R, Zonies D, Leaf D, Gupta S, Sise M, Newman E, Abu Omar S, Pokharel K, Sharma S, Singh H, Correa S, Shaukat T, Kamal O, Wang W, Yang H, Boateng J, Lee M, Strohbehn I, Li J, Mueller A, Redfern R, Cairl N, Naimy G, Abu-Saif A, Hall D, Bickley L, Rowan C, Madhani-Lovely F, Cruz V, Hess K, Jacobs A, Peev V, Reiser J, Byun J, Vissing A, Kapania E, Post Z, Patel N, Hermes J, Sutherland A, Patrawalla A, Finkel D, Danek B, Arikapudi S, Paer J, Cangialosi P, Liotta M, Radbel J, Puri S, Sunderram J, Scharf M, Ahmed A, Berim I, Vatson J, Anand S, Levitt J, Garcia P, Boyle S, Song R, Zhang J, Woo S, Deng X, Katz-Greenberg G, Senter K, Sharshir M, Rusnak V, Ali M, Bansal A, Podoll A, Chonchol M, Sharma S, Burnham E, Douin D, Rashidi A, Hejal R, Judd E, Latta L, Tolwani A, Albertson T, Adams J, Chang S, Beutler R, Schulze C, Macedo E, Rhee H, Liu K, Jotwani V, Koyner J, Shah C, Jaikaransingh V, Toth-Manikowski S, Joo M, Lash J, Neyra J, Chaaban N, Elias M, Ahmad Y, Iardino A, Au E, Sharma J, Sosa M, Taldone S, Contreras G, De La Zerda D, Gershengorn H, Shukla B, Fornoni A, Ferreira T, Hayek S, Blakely P, Berlin H, Azam T, Shadid H, Pan M, Hayer P, Meloche C, Feroze R, Kaakati R, Perry D, Bitar A, Anderson E, Padalia K, Donnelly J, Admon A, Flythe J, Tugman M, Chang E, Brown B, Leonberg-Yoo A, Spiardi R, Miano T, Roche M, Vasquez C, Bansal A, Ernecoff N, Kapoor S, Verma S, Chen H, Kovesdy C, Molnar M, Azhar A, Hedayati S, Nadamuni M, Shastri S, Willett D, Short S, Renaghan A, Enfield K, Bhatraju P, Malik A, Semler M, Vijayan A, Joy C, Li T, Goldberg S, Kao P, Schumaker G, Goyal N, Faugno A, Schumaker G, Hsu C, Tariq A, Meyer L, Kshirsagar R, Weiner D, Jose A, Christov M, Griffiths J, Gupta S, Kapoor A, Wilson P, Arora T, Ugwuowo U. Modulation of the Association Between Age and Death by Risk Factor Burden in Critically Ill Patients With COVID-19. Critical Care Explorations 2022, 4: e0755. PMID: 36050992, PMCID: PMC9426819, DOI: 10.1097/cce.0000000000000755.Peer-Reviewed Original ResearchICU factorsIll patientsRisk factorsEffect modificationCOVID-19Older ageRisk factor burdenCritically ill patientsMulticenter cohort studyMultivariable logistic regressionRisk of deathLogistic regression modelsKey risk factorsInhospital mortalityCohort studyMultiplicative interaction termIll adultsPrimary outcomeAdverse outcomesPrimary exposureICU bedsComorbiditiesPatientsLogistic regressionAdditional studiesThe association between hormonal contraceptive use and smoking, negative affect, and cessation attempts in college females
Stewart S, Peltier M, Roys M, Copeland A. The association between hormonal contraceptive use and smoking, negative affect, and cessation attempts in college females. Drug And Alcohol Dependence Reports 2022, 3: 100063. PMID: 36845992, PMCID: PMC9948877, DOI: 10.1016/j.dadr.2022.100063.Peer-Reviewed Original ResearchHormonal contraceptivesHC useCurrent smokingCessation attemptsCombination hormonal contraceptivesHormonal contraceptive useEndogenous female hormonesSmoking status interactionFemale hormonesContraceptive useQuit attemptsLower anxiety levelsNicotine useTreatment targetsPast cessation attemptsSmokingCurrent HC useProgestinsExogenous hormonesAdditional studiesWomenStatus interactionAnxiety levelsSignificant differencesSignificant main effectComparison of perioperative complications for extended vs standard pelvic lymph node dissection in patients undergoing radical prostatectomy for prostate cancer: a meta-analysis.
Kong J, Lichtbroun B, Sterling J, Wang Y, Wang Q, Singer EA, Jang TL, Ghodoussipour S, Kim IY. Comparison of perioperative complications for extended vs standard pelvic lymph node dissection in patients undergoing radical prostatectomy for prostate cancer: a meta-analysis. American Journal Of Clinical And Experimental Urology 2022, 10: 73-81. PMID: 35528467, PMCID: PMC9077149.Peer-Reviewed Original ResearchPelvic lymph node dissectionLymph node dissectionRadical prostatectomyPerioperative complicationsRandom-effects modelProstate cancerSurgery subgroupNode dissectionComplication rateRisk ratioSubgroup analysisStandard pelvic lymph node dissectionTime of RPRobotic approachCochrane LibraryComplicationsSPLNDGreater riskPatientsAvailable evidencePooled dataAdditional studiesCancerSignificant differencesProstatectomyRates of, and factors associated with, switching among generic levothyroxine preparations in commercially insured American adults
Brito JP, Deng Y, Ross JS, Choi NH, Graham DJ, Qiang Y, Rantou E, Wang Z, Zhao L, Shah ND, Lipska KJ. Rates of, and factors associated with, switching among generic levothyroxine preparations in commercially insured American adults. Endocrine 2022, 76: 349-358. PMID: 35107758, PMCID: PMC9210352, DOI: 10.1007/s12020-022-02987-z.Peer-Reviewed Original ResearchConceptsL-thyroxineLarge administrative claims databaseMultivariate logistic regression analysisAdministrative claims databaseThyroid hormone valuesLogistic regression analysisNumber of pharmaciesSettingRetrospective studyPrescription fillsTreatment initiationGuideline recommendationsThyroid surgeryClaims databaseFill dateMean ageHormone valuesLevothyroxine preparationsMore pharmaciesPractice guidelinesAdditional studiesGeneric preparationsNational dataAmerican adultsPatientsRegression analysis
2021
Ceralasertib-Mediated ATR Inhibition Combined With Olaparib in Advanced Cancers Harboring DNA Damage Response and Repair Alterations (Olaparib Combinations)
Mahdi H, Hafez N, Doroshow D, Sohal D, Keedy V, T. K, LoRusso P, Jürgensmeier J, Avedissian M, Sklar J, Glover C, Felicetti B, Dean E, Mortimer P, Shapiro GI, Eder JP. Ceralasertib-Mediated ATR Inhibition Combined With Olaparib in Advanced Cancers Harboring DNA Damage Response and Repair Alterations (Olaparib Combinations). JCO Precision Oncology 2021, 5: 1432-1442. PMID: 34527850, PMCID: PMC8437220, DOI: 10.1200/po.20.00439.Peer-Reviewed Original ResearchConceptsHigh-grade serous ovarian cancerComplete responseResponse rateClinical benefit ratePartial response ratePrimary end pointOverall response rateHomologous recombination repair deficiencySerous ovarian cancerPoly (ADP-ribose) polymerase (PARP) inhibitorsPrior therapyUnacceptable toxicityEntire cohortRefractory cancerBenefit rateOvarian cancerPromising therapyPatientsBasket trialsDay 1End pointOlaparibPolymerase inhibitorsTherapyAdditional studiesMicrobial burden on environmental surfaces in patient rooms before daily cleaning—Analysis of multiple confounding variables
Boyce JM, Havill NL, Guercia KA, Moore BA. Microbial burden on environmental surfaces in patient rooms before daily cleaning—Analysis of multiple confounding variables. Infection Control And Hospital Epidemiology 2021, 43: 1142-1146. PMID: 34396941, DOI: 10.1017/ice.2021.349.Peer-Reviewed Original ResearchConceptsMicrobial burdenPatient roomsStudy periodIntensive care unitType of wardMultivariable regression analysisMultiple confounding variablesMedical wardsCare unitCrossover trialHospital environmental surfacesWard typeBedside railsEnvironmental surfacesCompliance rateConfounding variablesHigh-touch surfacesWardsLarge hospitalsAdditional studiesConvenience sampleRegression analysisDaily cleaningBurdenQuaternary ammonium disinfectantTemporal relationship of computed and structured diagnoses in electronic health record data
Schulz WL, Young HP, Coppi A, Mortazavi BJ, Lin Z, Jean RA, Krumholz HM. Temporal relationship of computed and structured diagnoses in electronic health record data. BMC Medical Informatics And Decision Making 2021, 21: 61. PMID: 33596898, PMCID: PMC7890604, DOI: 10.1186/s12911-021-01416-x.Peer-Reviewed Original ResearchConceptsElectronic health recordsStructured diagnosisOutpatient blood pressureElectronic health record dataAcademic health systemLow-density lipoproteinHealth record dataBlood pressureStructured data elementsAdministrative claimsHypertensionClinical informationHyperlipidemiaClinical phenotypeEquivalent diagnosisVital signsHealth systemDiagnosisProblem listAdditional studiesHealth recordsRecord dataTimely accessEHR dataPatientsNatriuretic Equation to Predict Loop Diuretic Response in Patients With Heart Failure
Rao VS, Ivey-Miranda JB, Cox ZL, Riello R, Griffin M, Fleming J, Soucier R, Sangkachand P, O'Brien M, LoRusso F, D'Ambrosi J, Churchwell K, Mahoney D, Bellumkonda L, Asher JL, Maulion C, Turner JM, Wilson FP, Collins SP, Testani JM. Natriuretic Equation to Predict Loop Diuretic Response in Patients With Heart Failure. Journal Of The American College Of Cardiology 2021, 77: 695-708. PMID: 33573739, PMCID: PMC8114781, DOI: 10.1016/j.jacc.2020.12.022.Peer-Reviewed Original ResearchConceptsLoop diuretic administrationDiuretic therapyNatriuretic responseDiuretic administrationSodium outputAcute decompensated heart failureDecompensated heart failureHeart failure admissionsDaily urine outputSpot urine samplesNet fluid outputNet fluid lossPathway cohortHeart failureLoop diureticsUrine outputDiuretic responseResidual congestionFluid outputTherapyCohortWeight lossAdditional studiesUrine samplesExcellent discrimination
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply