Publication:
Hfpef diagnosis: a challenge in CKD with current algorithms

dc.contributor.coauthorStefan, A. E.
dc.contributor.coauthorCovic, M. A.
dc.contributor.coauthorDodi, G.
dc.contributor.coauthorAvanu, A. E.
dc.contributor.coauthorBîrgoan, S.
dc.contributor.coauthorMoroșanu, C.
dc.contributor.coauthorSascau, R. A.
dc.contributor.coauthorCovic, A. C.
dc.contributor.coauthorBazyani, Amin
dc.contributor.departmentSchool of Medicine
dc.contributor.kuauthorKanbay, Mehmet
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2026-07-19T19:49:28Z
dc.date.issued2026
dc.description.abstractChronic kidney disease (CKD) is associated with a high burden of cardiovascular remodeling and increased risk of heart failure with preserved ejection fraction (HFpEF). However, the interpretation of natriuretic peptide-based HFpEF diagnostic remains challenging in CKD populations, where structural cardiac abnormalities and elevated NT-proBNP levels frequently coexist. Methods: We conducted a cross-sectional study including ambulatory patients with CKD stages G3–G4 and NYHA II dyspnea. Clinical, metabolic, vascular, and echocardiographic assessments were performed. HFpEF was assessed using a modified HFA-PEFF-based approach derived from the ESC-recommended diagnostic algorithm. We evaluated the impact of NT-proBNP thresholds on HFpEF classification and explored the relationship between NT-proBNP, echocardiographic diastolic dysfunction, and structural cardiac abnormalities. Results: The cohort displayed a high cardiometabolic burden (74.9%), and structural cardiac abnormalities were highly prevalent. Using a modified HFA-PEFF diagnostic algorithm, HFpEF was identified in 52.9% of patients. However, when the biomarker domain was excluded, 86.7% of patients remained within the intermediate-probability range. In an exploratory analysis, a cutoff of 700 pg/mL was identified as the cohort-adapted threshold with the best diagnostic balance and identified 19.8% patients as having HFpEF. Conclusions: Patients with CKD G3–G4 exhibited substantial structural and functional cardiovascular abnormalities despite no prior diagnosis of heart failure. HFpEF classification varied according to the NT-proBNP threshold applied, while NT-proBNP demonstrated limited discriminatory performance for echocardiographic diastolic dysfunction. These findings support the need for more refined and CKD-sensitive approaches for HFpEF characterization in this population.
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.versionPublished Version
dc.identifier.ScopusPercentile99
dc.identifier.ScopusQuartileQ1
dc.identifier.WoSPercentile79.7
dc.identifier.WoSQuartileQ1
dc.identifier.doi10.3390/life16060944
dc.identifier.eissn2075-1729
dc.identifier.embargoN/A
dc.identifier.issue6
dc.identifier.pubmed42355471
dc.identifier.scopus2-s2.0-105042824499
dc.identifier.urihttp://doi.org/10.3390/life16060944
dc.identifier.urihttps://hdl.handle.net/20.500.14288/33603
dc.identifier.volume16
dc.identifier.wos001804044900001
dc.keywordsCardio-kidney-metabolic axis
dc.keywordsChronic kidney disease heart failure
dc.keywordsCKD HFpEF
dc.keywordsCKD HFpEF metabolic risk
dc.keywordsHFpEF CKD
dc.languageeng
dc.publisherMDPI
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofLife
dc.relation.openaccessN/A
dc.rightsN/A
dc.rights.uriN/A
dc.subjectHealth sciences
dc.subjectMedicine
dc.subjectCardiology and cardiovascular medicine
dc.subjectEndocrinology
dc.subjectDiabetes and metabolism
dc.titleHfpef diagnosis: a challenge in CKD with current algorithms
dc.typeJournal Article
dspace.entity.typePublication
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