Data-Driven Phenotyping in Heart Failure With Preserved Ejection Fraction
1 other identifier
observational
200
1 country
2
Brief Summary
The goal of this observational study is to learn how people with Heart Failure with Preserved Ejection Fraction (HFpEF) can be grouped into different "phenotypes" based on their clinical information. The researchers want to understand whether these groups have different health profiles and different responses during a cardiopulmonary exercise test (CPET). The main questions this study aims to answer are:
- Can clinical data be used to identify meaningful HFpEF phenotypes?
- Do these phenotypes match well-known HFpEF scores, such as the H2FPEF and Heart Failure Association Pre-test Assessment, Echocardiography and Natriuretic Peptide (HFA-PEFF) scores?
- Do people in different phenotypes show different results on a CPET? Participants will:
- Have their past clinical records reviewed if they were diagnosed with HFpEF at the Local Health Unit of the Leiria Region (ULS RL);
- A smaller group will attend one visit to complete a CPET, which measures how the heart, lungs and muscles respond during exercise. This study includes adults aged 18 years or older who have HFpEF. The study does not involve any new treatments or experimental drugs.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Dec 2026
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 12, 2026
CompletedFirst Posted
Study publicly available on registry
February 24, 2026
CompletedStudy Start
First participant enrolled
December 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2027
Study Completion
Last participant's last visit for all outcomes
May 31, 2028
February 24, 2026
February 1, 2026
8 months
January 12, 2026
February 20, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Identification and characterization of HFpEF phenotypes using multimodal clustering analysis
Identification of distinct phenotypic clusters in patients with heart failure with preserved ejection fraction using unsupervised machine learning applied to multimodal clinical, biochemical, imaging and functional data.
Up to December 2026 (completion of retrospective data collection and clustering analysis).
Secondary Outcomes (3)
Mean peak oxygen uptake (VO₂peak) during cardiopulmonary exercise testing
December 2026 to July 2027 (single assessment per participant).
Concordance between H2FPEF and HFA-PEFF scores and identified HFpEF phenotypes
Up to October 2027.
Mean plasma NT-proBNP concentration (pg/mL) by HFpEF phenotypes
Up to February 2028.
Study Arms (1)
Observational HFpEF Cohort
Single observational cohort including all adults with an established diagnosis of heart failure with preserved ejection fraction (LVEF ≥50%) who received care at the Local Health Unit of the Leiria Region (ULS RL) since September 2018. Clinical, biochemical, imaging, functional, and therapeutic information recorded during previous hospitalizations will be extracted for retrospective analysis. A subset of participants will later be invited to complete a single cardiopulmonary exercise test (CPET) according to the study protocol. Phenotypes (clusters) will be identified post-hoc using unsupervised machine-learning methods and are not predefined at the time of enrollment.
Eligibility Criteria
Adult patients (≥18 years) with a confirmed diagnosis of heart failure with preserved ejection fraction (LVEF ≥50%) admitted in the Local Health Unit of the Leiria Region since September 2018. The retrospective phase includes electronic health records from approximately 200 patients, used to obtain multimodal datasets for unsupervised clustering. A cross-sectional phase recruits volunteer participants selected for representativeness of the identified phenotypes to undergo cardiopulmonary exercise testing (CPET) for functional characterization. Collected data include sociodemographic variables, clinical history, imaging findings, laboratory biomarkers (e.g., NT-proBNP), therapeutic data and CPET-derived functional parameters.
You may qualify if:
- Retropective observational phase (Phase I):
- Age ≥18 years;
- Established diagnosis of heart failure with preserved ejection fraction (LVEF ≥50%);
- Patients receiving care (outpatient or inpatient) at the Local Health Unit of the Leiria Region (ULS RL) since September 2018.
- Cross-sectional observational phase (Phase II - CPET):
- Age ≥18 years;
- Established diagnosis of HFpEF;
- Selection as a volunteer representative of phenotypes identified in the retrospective clustering analysis;
- Provision of written informed consent prior to any study-specific procedures.
You may not qualify if:
- Retropective observational phase (Phase I):
- Incomplete or inadequate medical records preventing full data extraction.
- Cross-sectional observational phase (Phase II - CPET):
- Medical contraindication or physical inability to perform cardiopulmonary exercise testing (CPET);
- Inability to provide informed consent.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Local Health Unit of the Leiria Region
Leiria, Leiria District, 2410-197, Portugal
ciTechCare - Center for Innovative Care and Health Technology
Leiria, 2414-016, Portugal
Related Publications (22)
Ferreira JP, Dewan P, Jhund PS, Lorenzo-Almoros A, Duarte K, Petrie MC, Carson PE, McKelvie R, Komajda M, Zile M, Zannad F, McMurray JJV. Covariate adjusted reanalysis of the I-Preserve trial. Clin Res Cardiol. 2020 Nov;109(11):1358-1365. doi: 10.1007/s00392-020-01632-x. Epub 2020 Mar 25.
PMID: 32215700BACKGROUNDMassie BM, Carson PE, McMurray JJ, Komajda M, McKelvie R, Zile MR, Anderson S, Donovan M, Iverson E, Staiger C, Ptaszynska A; I-PRESERVE Investigators. Irbesartan in patients with heart failure and preserved ejection fraction. N Engl J Med. 2008 Dec 4;359(23):2456-67. doi: 10.1056/NEJMoa0805450. Epub 2008 Nov 11.
PMID: 19001508BACKGROUNDCunningham JW, Vaduganathan M, Claggett BL, John JE, Desai AS, Lewis EF, Zile MR, Carson P, Jhund PS, Kober L, Pitt B, Shah SJ, Swedberg K, Anand IS, Yusuf S, McMurray JJV, Pfeffer MA, Solomon SD. Myocardial Infarction in Heart Failure With Preserved Ejection Fraction: Pooled Analysis of 3 Clinical Trials. JACC Heart Fail. 2020 Aug;8(8):618-626. doi: 10.1016/j.jchf.2020.02.007. Epub 2020 May 6.
PMID: 32387067BACKGROUNDPereira PMM, Thomaz LA, Tavora LMN, Assuncao PAA, Fonseca-Pinto RM, Paiva RP, Faria SMM. Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate. Med Image Anal. 2022 Jan;75:102254. doi: 10.1016/j.media.2021.102254. Epub 2021 Oct 7.
PMID: 34649195BACKGROUNDGrote T, Berens P. Uncertainty, Evidence, and the Integration of Machine Learning into Medical Practice. J Med Philos. 2023 Feb 17;48(1):84-97. doi: 10.1093/jmp/jhac034.
PMID: 36630292BACKGROUNDShehab M, Abualigah L, Shambour Q, Abu-Hashem MA, Shambour MKY, Alsalibi AI, Gandomi AH. Machine learning in medical applications: A review of state-of-the-art methods. Comput Biol Med. 2022 Jun;145:105458. doi: 10.1016/j.compbiomed.2022.105458. Epub 2022 Mar 28.
PMID: 35364311BACKGROUNDQuazi S. Retraction Note: Artificial intelligence and machine learning in precision and genomic medicine. Med Oncol. 2025 Apr 26;42(6):180. doi: 10.1007/s12032-025-02732-2. No abstract available.
PMID: 40281258BACKGROUNDBayes-Genis A, Liu PP, Lanfear DE, de Boer RA, Gonzalez A, Thum T, Emdin M, Januzzi JL. Omics phenotyping in heart failure: the next frontier. Eur Heart J. 2020 Sep 21;41(36):3477-3484. doi: 10.1093/eurheartj/ehaa270.
PMID: 32337540BACKGROUNDPieske B, Tschope C, de Boer RA, Fraser AG, Anker SD, Donal E, Edelmann F, Fu M, Guazzi M, Lam CSP, Lancellotti P, Melenovsky V, Morris DA, Nagel E, Pieske-Kraigher E, Ponikowski P, Solomon SD, Vasan RS, Rutten FH, Voors AA, Ruschitzka F, Paulus WJ, Seferovic P, Filippatos G. How to diagnose heart failure with preserved ejection fraction: the HFA-PEFF diagnostic algorithm: a consensus recommendation from the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). Eur Heart J. 2019 Oct 21;40(40):3297-3317. doi: 10.1093/eurheartj/ehz641.
PMID: 31504452BACKGROUNDReddy YNV, Carter RE, Obokata M, Redfield MM, Borlaug BA. A Simple, Evidence-Based Approach to Help Guide Diagnosis of Heart Failure With Preserved Ejection Fraction. Circulation. 2018 Aug 28;138(9):861-870. doi: 10.1161/CIRCULATIONAHA.118.034646.
PMID: 29792299BACKGROUNDJohn JE, Claggett B, Skali H, Solomon SD, Cunningham JW, Matsushita K, Konety SH, Kitzman DW, Mosley TH, Clark D 3rd, Chang PP, Shah AM. Coronary Artery Disease and Heart Failure With Preserved Ejection Fraction: The ARIC Study. J Am Heart Assoc. 2022 Sep 6;11(17):e021660. doi: 10.1161/JAHA.121.021660. Epub 2022 Aug 24.
PMID: 36000416BACKGROUNDOlaniyi KS, Atuma CL, Sabinari IW, Hadiza M, Saidi AO, Akintayo CO, Ajadi IO, Olatunji LA. Restoration of cardiac metabolic flexibility by acetate in high-fat diet-induced obesity is independent of ANP/BNP modulation. Can J Physiol Pharmacol. 2022 Jun 1;100(6):509-520. doi: 10.1139/cjpp-2021-0531. Epub 2022 Apr 8.
PMID: 35395159BACKGROUNDBrady PF, Chua W, Nehaj F, Connolly DL, Khashaba A, Purmah YJV, Ul-Qamar MJ, Thomas MR, Varma C, Schnabel RB, Zeller T, Fabritz L, Kirchhof PF. Interactions Between Atrial Fibrillation and Natriuretic Peptide in Predicting Heart Failure Hospitalization or Cardiovascular Death. J Am Heart Assoc. 2022 Feb 15;11(4):e022833. doi: 10.1161/JAHA.121.022833. Epub 2022 Feb 3.
PMID: 35112889BACKGROUNDShah SJ. BNP: Biomarker Not Perfect in heart failure with preserved ejection fraction. Eur Heart J. 2022 May 21;43(20):1952-1954. doi: 10.1093/eurheartj/ehac121. No abstract available.
PMID: 35301541BACKGROUNDShah SJ, Kitzman DW, Borlaug BA, van Heerebeek L, Zile MR, Kass DA, Paulus WJ. Phenotype-Specific Treatment of Heart Failure With Preserved Ejection Fraction: A Multiorgan Roadmap. Circulation. 2016 Jul 5;134(1):73-90. doi: 10.1161/CIRCULATIONAHA.116.021884.
PMID: 27358439BACKGROUNDGlean AA, Ferguson SK, Holdsworth CT, Colburn TD, Wright JL, Fees AJ, Hageman KS, Poole DC, Musch TI. Effects of nitrite infusion on skeletal muscle vascular control during exercise in rats with chronic heart failure. Am J Physiol Heart Circ Physiol. 2015 Oct;309(8):H1354-60. doi: 10.1152/ajpheart.00421.2015. Epub 2015 Sep 14.
PMID: 26371165BACKGROUNDZamani P, Rawat D, Shiva-Kumar P, Geraci S, Bhuva R, Konda P, Doulias PT, Ischiropoulos H, Townsend RR, Margulies KB, Cappola TP, Poole DC, Chirinos JA. Effect of inorganic nitrate on exercise capacity in heart failure with preserved ejection fraction. Circulation. 2015 Jan 27;131(4):371-80; discussion 380. doi: 10.1161/CIRCULATIONAHA.114.012957. Epub 2014 Dec 22.
PMID: 25533966BACKGROUNDYancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WH, Tsai EJ, Wilkoff BL; American College of Cardiology Foundation; American Heart Association Task Force on Practice Guidelines. 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2013 Oct 15;62(16):e147-239. doi: 10.1016/j.jacc.2013.05.019. Epub 2013 Jun 5. No abstract available.
PMID: 23747642BACKGROUNDPonikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, Falk V, Gonzalez-Juanatey JR, Harjola VP, Jankowska EA, Jessup M, Linde C, Nihoyannopoulos P, Parissis JT, Pieske B, Riley JP, Rosano GMC, Ruilope LM, Ruschitzka F, Rutten FH, van der Meer P; ESC Scientific Document Group. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2016 Jul 14;37(27):2129-2200. doi: 10.1093/eurheartj/ehw128. Epub 2016 May 20. No abstract available.
PMID: 27206819BACKGROUNDAmanai S, Harada T, Kagami K, Yoshida K, Kato T, Wada N, Obokata M. The H2FPEF and HFA-PEFF algorithms for predicting exercise intolerance and abnormal hemodynamics in heart failure with preserved ejection fraction. Sci Rep. 2022 Jan 7;12(1):13. doi: 10.1038/s41598-021-03974-6.
PMID: 34996984BACKGROUNDBilak JM, Alam U, Miller CA, McCann GP, Arnold JR, Kanagala P. Microvascular Dysfunction in Heart Failure with Preserved Ejection Fraction: Pathophysiology, Assessment, Prevalence and Prognosis. Card Fail Rev. 2022 Jul 1;8:e24. doi: 10.15420/cfr.2022.12. eCollection 2022 Jan.
PMID: 35846985BACKGROUNDBorovac JA, D'Amario D, Bozic J, Glavas D. Sympathetic nervous system activation and heart failure: Current state of evidence and the pathophysiology in the light of novel biomarkers. World J Cardiol. 2020 Aug 26;12(8):373-408. doi: 10.4330/wjc.v12.i8.373.
PMID: 32879702BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Rui M Fonseca-Pinto, PhD
ciTechCare - Center for Innovative Care and Health Technology, Polytechnic of Leiria
- STUDY DIRECTOR
João C A Morais, PhD
ciTechCare - Center for Innovative Care and Health Technology, Polytechnic of Leiria
- STUDY DIRECTOR
Vera L P Geraldes, PhD
Faculty of Medicine, University of Lisbon
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 12, 2026
First Posted
February 24, 2026
Study Start (Estimated)
December 1, 2026
Primary Completion (Estimated)
August 1, 2027
Study Completion (Estimated)
May 31, 2028
Last Updated
February 24, 2026
Record last verified: 2026-02
Data Sharing
- IPD Sharing
- Will not share
Individual participant data (IPD) will not be shared. The dataset contains sensitive clinical and physiological information, including cardiopulmonary exercise test (CPET) variables, with a high risk of reidentification even after de-identification procedures. Institutional policies, local ethics approval, and applicable data protection regulations do not permit external sharing of these data.