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RESEARCH PRODUCT

Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients.

Pedro MolinerSantiago RouraJavier SantesmasesMarta De AntonioRaquel NúñezJaume BarallatJulio NúñezJulio NúñezGermán CedielJordi TorCristina PachoM. Cruz PastorMar DomingoAntoni Bayes-genisJosep LupónJosep Lupón

subject

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

description

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 mortality alone at one year was also a major endpoint. HF-related rehospitalizations alone were secondary end-points. Results From February 2014 to November 2016, 522 consecutive patients attending the STOP-HF Clinic were included (57.1% women, age 82 ± 8.7 years, mean Barthel index 70 ± 25, mean Charlson comorbidity index 5.6 ± 2.2). The composite endpoint occurred in 8.6% patients at 30 days and in 38.5% at 1 year. In multivariable analysis, ST2 [hazard ratio (HR) 1.53; 95% CI 1.19–1.97; p = 0.001] was the only predictive biomarker at 30 days; at 1 year, both ST2 (HR 1.34; 95% CI 1.15–1.56; p < 0.001) and NT-proBNP (HR 1.19; 95% CI 1.02–1.40; p = 0.03) remained significant. The addition of ST2 and NT-proBNP into a clinical predictive model increased the AUC from 0.70 to 0.75 at 30 days (p = 0.02) and from 0.71 to 0.74 at 1 year (p < 0.05). For all-cause death at 1 year, ST2 (HR 1.50; 95% CI 1.26–1.80; p < 0.001), and CA125 (HR 1.41; 95% CI 1.21–1.63; p < 0.001) remained independent predictors in multivariable analysis. The addition of ST2 and CA125 into a clinical predictive model increased the AUC from 0.74 to 0.78 (p = 0.03). For HF-related hospitalizations, ST2 was the only predictive biomarker in multivariable analyses, both at 30 days and at 1 year. Conclusions In a comorbid frail elderly population with HFpEF, ST2 outperformed NT-proBNP for predicting the risk of all-cause mortality or HF-related rehospitalization. ST2, a surrogate marker of inflammation and fibrosis, may be a better predictive marker in high-risk HFpEF. Electronic supplementary material The online version of this article (10.1186/s12877-018-0807-2) contains supplementary material, which is available to authorized users.

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