Serial cardiac biomarkers, pulmonary artery pressures and traditional parameters of fluid status in relation to prognosis in patients with chronic heart failure: Design and rationale of the BioMEMS study
Aims Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF‐related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, g...
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Published in: | European journal of heart failure Vol. 26; no. 8; pp. 1736 - 1744 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Language: | English |
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Oxford, UK
John Wiley & Sons, Ltd
01-08-2024
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Abstract | Aims
Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF‐related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, guided by pulmonary artery (PA) pressure, offers opportunities for efficient early‐stage intervention, since haemodynamic congestion precedes clinical symptoms.
Methods
The BioMEMS study, a substudy of the MONITOR‐HF trial, proposes a multifaceted approach integrating blood biobank data with traditional and novel HF parameters. Two additional blood samples from 340 active participants in the MONITOR‐HF trial were collected at baseline, 3‐, 6‐, and 12‐month visits and stored for the BioMEMS biobank. The main aims are to identify the relationship between temporal biomarker patterns and PA pressures derived from the CardioMEMS‐HF system, and to identify the biomarker profile(s) associated with the risk of HF events and cardiovascular death.
Conclusion
Since the prognostic value of single baseline measurements of biomarkers like N‐terminal pro‐B‐type natriuretic peptide is limited, with the BioMEMS study we advocate a dynamic, serial approach to better capture HF progression. We will substantiate this by relating repeated biomarker measurements to PA pressures. This design rationale presents a comprehensive review on cardiac biomarkers in HF, and aims to contribute valuable insights into personalized HF therapy and patient risk assessment, advancing our ability to address the evolving nature of HF effectively.
Design and rationale of the BioMEMS study. QoL, quality of life. Graphical is created with BioRender.com |
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AbstractList | Abstract Aims Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF‐related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, guided by pulmonary artery (PA) pressure, offers opportunities for efficient early‐stage intervention, since haemodynamic congestion precedes clinical symptoms. Methods The BioMEMS study, a substudy of the MONITOR‐HF trial, proposes a multifaceted approach integrating blood biobank data with traditional and novel HF parameters. Two additional blood samples from 340 active participants in the MONITOR‐HF trial were collected at baseline, 3‐, 6‐, and 12‐month visits and stored for the BioMEMS biobank. The main aims are to identify the relationship between temporal biomarker patterns and PA pressures derived from the CardioMEMS‐HF system, and to identify the biomarker profile(s) associated with the risk of HF events and cardiovascular death. Conclusion Since the prognostic value of single baseline measurements of biomarkers like N‐terminal pro‐B‐type natriuretic peptide is limited, with the BioMEMS study we advocate a dynamic, serial approach to better capture HF progression. We will substantiate this by relating repeated biomarker measurements to PA pressures. This design rationale presents a comprehensive review on cardiac biomarkers in HF, and aims to contribute valuable insights into personalized HF therapy and patient risk assessment, advancing our ability to address the evolving nature of HF effectively. Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF-related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, guided by pulmonary artery (PA) pressure, offers opportunities for efficient early-stage intervention, since haemodynamic congestion precedes clinical symptoms.AIMSHeart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF-related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, guided by pulmonary artery (PA) pressure, offers opportunities for efficient early-stage intervention, since haemodynamic congestion precedes clinical symptoms.The BioMEMS study, a substudy of the MONITOR-HF trial, proposes a multifaceted approach integrating blood biobank data with traditional and novel HF parameters. Two additional blood samples from 340 active participants in the MONITOR-HF trial were collected at baseline, 3-, 6-, and 12-month visits and stored for the BioMEMS biobank. The main aims are to identify the relationship between temporal biomarker patterns and PA pressures derived from the CardioMEMS-HF system, and to identify the biomarker profile(s) associated with the risk of HF events and cardiovascular death.METHODSThe BioMEMS study, a substudy of the MONITOR-HF trial, proposes a multifaceted approach integrating blood biobank data with traditional and novel HF parameters. Two additional blood samples from 340 active participants in the MONITOR-HF trial were collected at baseline, 3-, 6-, and 12-month visits and stored for the BioMEMS biobank. The main aims are to identify the relationship between temporal biomarker patterns and PA pressures derived from the CardioMEMS-HF system, and to identify the biomarker profile(s) associated with the risk of HF events and cardiovascular death.Since the prognostic value of single baseline measurements of biomarkers like N-terminal pro-B-type natriuretic peptide is limited, with the BioMEMS study we advocate a dynamic, serial approach to better capture HF progression. We will substantiate this by relating repeated biomarker measurements to PA pressures. This design rationale presents a comprehensive review on cardiac biomarkers in HF, and aims to contribute valuable insights into personalized HF therapy and patient risk assessment, advancing our ability to address the evolving nature of HF effectively.CONCLUSIONSince the prognostic value of single baseline measurements of biomarkers like N-terminal pro-B-type natriuretic peptide is limited, with the BioMEMS study we advocate a dynamic, serial approach to better capture HF progression. We will substantiate this by relating repeated biomarker measurements to PA pressures. This design rationale presents a comprehensive review on cardiac biomarkers in HF, and aims to contribute valuable insights into personalized HF therapy and patient risk assessment, advancing our ability to address the evolving nature of HF effectively. Aims Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF‐related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, guided by pulmonary artery (PA) pressure, offers opportunities for efficient early‐stage intervention, since haemodynamic congestion precedes clinical symptoms. Methods The BioMEMS study, a substudy of the MONITOR‐HF trial, proposes a multifaceted approach integrating blood biobank data with traditional and novel HF parameters. Two additional blood samples from 340 active participants in the MONITOR‐HF trial were collected at baseline, 3‐, 6‐, and 12‐month visits and stored for the BioMEMS biobank. The main aims are to identify the relationship between temporal biomarker patterns and PA pressures derived from the CardioMEMS‐HF system, and to identify the biomarker profile(s) associated with the risk of HF events and cardiovascular death. Conclusion Since the prognostic value of single baseline measurements of biomarkers like N‐terminal pro‐B‐type natriuretic peptide is limited, with the BioMEMS study we advocate a dynamic, serial approach to better capture HF progression. We will substantiate this by relating repeated biomarker measurements to PA pressures. This design rationale presents a comprehensive review on cardiac biomarkers in HF, and aims to contribute valuable insights into personalized HF therapy and patient risk assessment, advancing our ability to address the evolving nature of HF effectively. Design and rationale of the BioMEMS study. QoL, quality of life. Graphical is created with BioRender.com Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor in HF-related hospitalizations, further underscores the need for timely interventions. Proactive monitoring of intracardiac pressures, guided by pulmonary artery (PA) pressure, offers opportunities for efficient early-stage intervention, since haemodynamic congestion precedes clinical symptoms. The BioMEMS study, a substudy of the MONITOR-HF trial, proposes a multifaceted approach integrating blood biobank data with traditional and novel HF parameters. Two additional blood samples from 340 active participants in the MONITOR-HF trial were collected at baseline, 3-, 6-, and 12-month visits and stored for the BioMEMS biobank. The main aims are to identify the relationship between temporal biomarker patterns and PA pressures derived from the CardioMEMS-HF system, and to identify the biomarker profile(s) associated with the risk of HF events and cardiovascular death. Since the prognostic value of single baseline measurements of biomarkers like N-terminal pro-B-type natriuretic peptide is limited, with the BioMEMS study we advocate a dynamic, serial approach to better capture HF progression. We will substantiate this by relating repeated biomarker measurements to PA pressures. This design rationale presents a comprehensive review on cardiac biomarkers in HF, and aims to contribute valuable insights into personalized HF therapy and patient risk assessment, advancing our ability to address the evolving nature of HF effectively. |
Author | Mieghem, Nicolas M.D.A. Tukkie, Raymond Kok, Wouter E.M. Kirchhof, Charles J.H.J. Emans, Mireille E. Rienstra, Michiel Eck, J.W. Martijn Kardys, Isabella Smilde, Tom D.J. Boersma, Eric Szymanski, Mariusz K. Hazeleger, Ronald Barry‐Loncq de Jong, Mylene Halm, Vokko P. Heuvel, Mieke Handoko, M. Louis Boer, Rudolf A. Heerebeek, Loek Feenema‐Aardema, Margriet W. Kimmenade, Roland R.J. Post, Marco C. Clephas, Pascal R.D. Asselbergs, Folkert W. Manintveld, Olivier C. Mosterd, Arend Spee, Ruud F. Beeres, Saskia L.M.A. Gent, Marco W.F. Linssen, Gerard C.M. Fonseca, Carlos A. Borleffs, C. Jan Willem Brugts, Jasper J. Brunner‐La Rocca, Hans‐Peter Allach, Youssra Ramshorst, Jan |
Author_xml | – sequence: 1 givenname: Youssra surname: Allach fullname: Allach, Youssra organization: Erasmus University Medical Center – sequence: 2 givenname: Mylene surname: Barry‐Loncq de Jong fullname: Barry‐Loncq de Jong, Mylene organization: Erasmus University Medical Center – sequence: 3 givenname: Pascal R.D. surname: Clephas fullname: Clephas, Pascal R.D. organization: Erasmus University Medical Center – sequence: 4 givenname: Marco W.F. surname: Gent fullname: Gent, Marco W.F. organization: Albert Schweitzer Hospital – sequence: 5 givenname: Hans‐Peter surname: Brunner‐La Rocca fullname: Brunner‐La Rocca, Hans‐Peter organization: Maastricht University Medical Centre – sequence: 6 givenname: Mariusz K. surname: Szymanski fullname: Szymanski, Mariusz K. organization: Utrecht University Medical Centre – sequence: 7 givenname: Vokko P. surname: Halm fullname: Halm, Vokko P. organization: Amsterdam University Medical Centre, University of Amsterdam – sequence: 8 givenname: M. Louis surname: Handoko fullname: Handoko, M. Louis organization: Amsterdam University Medical Centre, University of Amsterdam – sequence: 9 givenname: Wouter E.M. surname: Kok fullname: Kok, Wouter E.M. organization: Amsterdam University Medical Centre, University of Amsterdam – sequence: 10 givenname: Folkert W. surname: Asselbergs fullname: Asselbergs, Folkert W. organization: Amsterdam University Medical Centre, University of Amsterdam – sequence: 11 givenname: Roland R.J. surname: Kimmenade fullname: Kimmenade, Roland R.J. organization: Radboud University Medical Centre – sequence: 12 givenname: Olivier C. surname: Manintveld fullname: Manintveld, Olivier C. organization: Erasmus University Medical Center – sequence: 13 givenname: Nicolas M.D.A. surname: Mieghem fullname: Mieghem, Nicolas M.D.A. organization: Erasmus University Medical Center – sequence: 14 givenname: Saskia L.M.A. surname: Beeres fullname: Beeres, Saskia L.M.A. organization: Leiden University Medical Centre – sequence: 15 givenname: Michiel surname: Rienstra fullname: Rienstra, Michiel organization: University Medical Centre Groningen, University of Groningen – sequence: 16 givenname: Marco C. surname: Post fullname: Post, Marco C. organization: St. Antonius Hospital – sequence: 17 givenname: Loek surname: Heerebeek fullname: Heerebeek, Loek organization: OLVG Hospital – sequence: 18 givenname: C. Jan Willem surname: Borleffs fullname: Borleffs, C. Jan Willem organization: HAGA Hospital – sequence: 19 givenname: Raymond surname: Tukkie fullname: Tukkie, Raymond organization: Spaarne Hospital – sequence: 20 givenname: Arend surname: Mosterd fullname: Mosterd, Arend organization: Meander Medical Centre – sequence: 21 givenname: Gerard C.M. surname: Linssen fullname: Linssen, Gerard C.M. organization: Hospital Group Twente – sequence: 22 givenname: Ruud F. surname: Spee fullname: Spee, Ruud F. organization: Maxima Medical Centre – sequence: 23 givenname: Mireille E. surname: Emans fullname: Emans, Mireille E. organization: Ikazia hospital – sequence: 24 givenname: Tom D.J. surname: Smilde fullname: Smilde, Tom D.J. organization: Scheeper Hospital Treant – sequence: 25 givenname: Jan surname: Ramshorst fullname: Ramshorst, Jan organization: Noordwest Hospital Group – sequence: 26 givenname: Charles J.H.J. surname: Kirchhof fullname: Kirchhof, Charles J.H.J. organization: Alrijne Hospital – sequence: 27 givenname: Margriet W. surname: Feenema‐Aardema fullname: Feenema‐Aardema, Margriet W. organization: Medical Centre Leeuwarden – sequence: 28 givenname: Carlos A. surname: Fonseca fullname: Fonseca, Carlos A. organization: Medical Centre Leeuwarden – sequence: 29 givenname: Mieke surname: Heuvel fullname: Heuvel, Mieke organization: Medical Centre Twente – sequence: 30 givenname: Ronald surname: Hazeleger fullname: Hazeleger, Ronald organization: Vie Curi Hospital – sequence: 31 givenname: J.W. Martijn surname: Eck fullname: Eck, J.W. Martijn organization: Jeroen Bosch Hospital – sequence: 32 givenname: Eric surname: Boersma fullname: Boersma, Eric organization: Erasmus University Medical Center – sequence: 33 givenname: Isabella surname: Kardys fullname: Kardys, Isabella organization: Erasmus University Medical Center – sequence: 34 givenname: Rudolf A. surname: Boer fullname: Boer, Rudolf A. organization: Erasmus University Medical Center – sequence: 35 givenname: Jasper J. surname: Brugts fullname: Brugts, Jasper J. email: j.brugts@erasmusmc.nl organization: Erasmus University Medical Center |
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Copyright | 2024 The Author(s). published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. 2024 The Author(s). European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. |
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Keywords | Heart failure Biomarkers Risk stratification Intracardiac pressures Haemodynamic monitoring Repeated measurements |
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Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key... Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion, a key factor... Abstract Aims Heart failure (HF), a global pandemic affecting millions of individuals, calls for adequate predictive guidance for improved therapy. Congestion,... |
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SubjectTerms | Biomarkers Haemodynamic monitoring Heart failure Intracardiac pressures Repeated measurements Risk stratification |
Title | Serial cardiac biomarkers, pulmonary artery pressures and traditional parameters of fluid status in relation to prognosis in patients with chronic heart failure: Design and rationale of the BioMEMS study |
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