2018Journal of Cardiovascular MedicineRequires access

OC49 NEW HEMODYNAMIC INDEX TO IDENTIFY DIFFERENT PROFILES IN PATIENTS IMPLANTED WITH HM3

Andrea Montalto, V Di Piazza, Antonio Giovanni Cammardella, Marina Comisso, Carlo Contento, Emiliano Vitalini, Francesco Musumeci

Open publisher page 0 citations

Abstract

Abstract Introduction: LVAD (Left Ventricle Assist Device) represents a valid alternative to heart transplantation in patients who suffer from end stage heart failure. The ventricular devices show a different performance related to preload, afterload and the fixed setted revolutions per minute (RPM). Our main intention was to introduce a new hemodynamic index that accounting for the RPM setted, can easily identify different hemodynamic profiles occurring during LVAD support. Methods: From november 2015 to march 2018, 19 patients implanted with HM 3 underwent ramp tests during right heart catheterization. Basal data were collected and Hemodynamic Index (HI) was calculated according to the following formula: HI = {[PAM - PCWP]/CVP}∗ {[RPM SETTED∗100]/MAX RPM} where the first term is the ratio between afterload and preload and the second term means the ratio between the RPM setted and the maximal rpm available. Results: Basal HI was 455 ± 142. In 8 patients (42%) an index less than 400 was found. Three main profiles could be identified. Profile 1 HI less than 300 and higher risk of right failure. Profile 2 HI between 300 and 600, requiring speed optimization, Profile 3 HI> 600 requiring afterload optimization. After a tailored therapy including speed and anti hypertensive optimization a better HI (583 ± 224)was obtained. Conclusion: RPM should be setted balancing an optimal unloading with adequate afterload and preload and accounting for the right ventricular function. We proposed a new hemodynamic index that integrating different variables can stratify patients in three main profiles according to which the best treatment can be provided.

About this research paper

What this paper is about

Abstract Introduction: LVAD (Left Ventricle Assist Device) represents a valid alternative to heart transplantation in patients who suffer from end stage heart failure. The ventricular devices show a different performance related to preload, afterload and the fixed setted revolutions per minute (RPM). Our main intention was to introduce a new hemodynamic index that accounting for the RPM setted, can easily identify different hemodynamic profiles occurring during LVAD support. Methods: From november 2015 to march 2018, 19 patients implanted with HM 3 underwent ramp tests during right heart catheterization. Basal data were collected and Hemodynamic Index (HI) was calculated according to the following formula: HI = {[PAM - PCWP]/CVP}∗ {[RPM SETTED∗100]/MAX RPM} where the first term is the ratio between afterload and preload and the second term means the ratio between the RPM setted and the maximal rpm available. Results: Basal HI was 455 ± 142. In 8 patients (42%) an index less than 400 was found. Three main profiles could be identified. Profile 1 HI less than 300 and higher risk of right failure. Profile 2 HI between 300 and 600, requiring speed optimization, Profile 3 HI> 600 requiring afterload optimization. After a tailored therapy including speed and anti hypertensive optimization a better HI (583 ± 224)was obtained. Conclusion: RPM should be setted balancing an optimal unloading with adequate afterload and preload and accounting for the right ventricular function. We proposed a new hemodynamic index that integrating different variables can stratify patients in three main profiles according to which the best treatment can be provided.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract Introduction: LVAD (Left Ventricle Assist Device) represents a valid alternative to heart transplantation in patients who suffer from end stage heart failure. The ventricular devices show a different performance related to preload, afterload and the fixed setted revolutions per minute (RPM). Our main intention was to introduce a new hemodynamic index that accounting for the RPM setted, can easily identify different hemodynamic profiles occurring during LVAD support. Methods: From november 2015 to march 2018, 19 patients implanted with HM 3 underwent ramp tests during right heart catheterization. Basal data were collected and Hemodynamic Index (HI) was calculated according to the following formula: HI = {[PAM - PCWP]/CVP}∗ {[RPM SETTED∗100]/MAX RPM} where the first term is the ratio between afterload and preload and the second term means the ratio between the RPM setted and the maximal rpm available. Results: Basal HI was 455 ± 142. In 8 patients (42%) an index less than 400 was found. Three main profiles could be identified. Profile 1 HI less than 300 and higher risk of right failure. Profile 2 HI between 300 and 600, requiring speed optimization, Profile 3 HI> 600 requiring afterload optimization. After a tailored therapy including speed and anti hypertensive optimization a better HI (583 ± 224)was obtained. Conclusion: RPM should be setted balancing an optimal unloading with adequate afterload and preload and accounting for the right ventricular function. We proposed a new hemodynamic index that integrating different variables can stratify patients in three main profiles according to which the best treatment can be provided.

Key concepts: Preload, Afterload, Medicine, Hemodynamics, Cardiac index, Ventricle, Cardiology, Cardiac output

Related papers

Back to paper searchBrowse research topicsOriginal source
OC49 NEW HEMODYNAMIC INDEX TO IDENTIFY DIFFERENT PROFILES IN PATIENTS IMPLANTED WITH HM3 — Research Paper | ScholarLens