0000000001026599

AUTHOR

Santiago Roura

showing 8 related works from this author

Circulating monocyte subsets and heart failure prognosis

2018

Altres ajuts: Fundacio' La MARATO' de TV3 (201502 to ABG, 201516), AdvanceCat with the support of ACCIÓ [Catalonia Trade & Investment, Generalitat de Catalunya], Fundació Bancària La Caixa. Monocytes are a heterogeneous population of effector cells with key roles in tissue integrity restoration and maintenance. Here, we explore the association of monocyte subsets and prognosis in patients with ambulatory heart failure (HF). Monocyte subsets were classified as classical (CD14 ++ /CD16 -), intermediate (CD14 ++ /CD16 +), or non-classical (CD14 + /CD16 ++). Percentage distribution and absolute cell count were assessed in each subset, and multivariable Cox regression analyses were performed wit…

Male0301 basic medicineEtiologylcsh:Medicine030204 cardiovascular system & hematologyPathology and Laboratory MedicineMonocytesWhite Blood CellsMathematical and Statistical Techniques0302 clinical medicineAnimal CellsCell MovementRisk FactorsCause of DeathMedicine and Health Scienceslcsh:ScienceCause of deathMultidisciplinaryEjection fractionHeartPrognosismedicine.anatomical_structurePhysical SciencesAmbulatoryCardiologyRegression AnalysisFemaleCellular TypesAnatomyStatistics (Mathematics)Research Articlemedicine.medical_specialtyImmune CellsCD14ImmunologyCell Enumeration TechniquesCardiologyResearch and Analysis MethodsDisease-Free Survival03 medical and health sciencesDiagnostic MedicineInternal medicinemedicineHumansStatistical MethodsAgedProportional Hazards ModelsHeart FailureBlood Cellsbusiness.industryProportional hazards modelMonocytelcsh:RBiology and Life SciencesCell Biologymedicine.disease030104 developmental biologyVentricleHeart failureCardiovascular Anatomylcsh:QbusinessMathematicsEjection FractionPLOS ONE
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Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients.

2018

Background Heart failure (HF) is associated with a high rate of readmissions within 30 days post-discharge and in the following year, especially in frail elderly patients. Biomarker data are scarce in this high-risk population. This study assessed the value of early post-discharge circulating levels of ST2, NT-proBNP, CA125, and hs-TnI for predicting 30-day and 1-year outcomes in comorbid frail elderly patients with HF with mainly preserved ejection fraction (HFpEF). Methods Blood samples were obtained at the first visit shortly after discharge (4.9 ± 2 days). The primary endpoint was the composite of all-cause mortality or HF-related rehospitalization at 30 days and at 1 year. All-cause mo…

Malemedicine.medical_specialtyFrail ElderlyPopulationComorbidity030204 cardiovascular system & hematologylcsh:GeriatricsPatient Readmission03 medical and health sciences0302 clinical medicineRisk FactorsInternal medicineCause of DeathNatriuretic Peptide BrainClinical endpointmedicineHumans030212 general & internal medicineProspective StudieseducationProspective cohort studyAgedAged 80 and overHeart Failureeducation.field_of_studyPredictive markerSurrogate endpointbusiness.industryHazard ratioMembrane Proteinsmedicine.diseasePrognosisComorbidityPeptide Fragmentslcsh:RC952-954.6CA-125 AntigenBiomarker (medicine)FemaleGeriatrics and GerontologybusinessBiomarkersResearch ArticleFollow-Up Studies
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Additional file 3: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients

2018

Table S3. Cox regression analyses for 1-year HF-related hospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)

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Additional file 2: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients

2018

Table S2. Cox regression analyses for 30-day rehospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)

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Additional file 3: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients

2018

Table S3. Cox regression analyses for 1-year HF-related hospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)

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Additional file 2: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients

2018

Table S2. Cox regression analyses for 30-day rehospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)

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Additional file 1: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients

2018

Table S1. Correlations between studied biomarkers. Correlation between the different studied biomarkers was performed using Pearson correlation test of log-transformed values of each biomarker. (DOCX 25 kb)

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Additional file 1: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients

2018

Table S1. Correlations between studied biomarkers. Correlation between the different studied biomarkers was performed using Pearson correlation test of log-transformed values of each biomarker. (DOCX 25 kb)

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