The profile of the heart failure patient who doesn t benefit from an icd
This presentation is the property of its rightful owner.
Sponsored Links
1 / 27

THE PROFILE OF THE HEART FAILURE PATIENT WHO DOESN’T BENEFIT FROM AN ICD PowerPoint PPT Presentation


  • 97 Views
  • Uploaded on
  • Presentation posted in: General

THE PROFILE OF THE HEART FAILURE PATIENT WHO DOESN’T BENEFIT FROM AN ICD. Giosuè Mascioli, MD, FESC Humanitas Gavazzeni - Bergamo. Death in Heart Failure. Possible role of ICD. ICD. ICD ?. Modified from: Henkel DM, Circ Heart Fail, Jul 2008. ICD benefit is not homogeneous.

Download Presentation

THE PROFILE OF THE HEART FAILURE PATIENT WHO DOESN’T BENEFIT FROM AN ICD

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


The profile of the heart failure patient who doesn t benefit from an icd

THE PROFILE OF THE HEART FAILURE PATIENT WHO DOESN’T BENEFIT FROM AN ICD

  • Giosuè Mascioli, MD, FESC

  • Humanitas Gavazzeni - Bergamo


Death in heart failure

Death in Heart Failure

Possible role

of ICD

ICD

ICD ?

Modified from: Henkel DM, Circ Heart Fail, Jul 2008


Icd benefit is not homogeneous

ICD benefit is not homogeneous

VHR: BUN ≥ 50 mg/dl and serum creatinine ≥ 2.5 mg/dl

Goldenberg I, JACC Jan 2008


Greater or lesser benefit

Greater or lesser benefit

Burden of cardiovascular illness

Cost-efficacy

threshold

Magnitude of benefit (lower

number needed to treat)

Low risk of SD

Low overall

risk of death

High risk of SD

Intermediate overall

risk of death

Intermediate risk of SD

High overall

risk of death


The deadly duo

The deadly duo

Goldenberg I, Circulation Jun 2006


Icd therapy and competing death

ICD therapy and Competing Death

First appropriate ICD therapy

Death before first appropriate ICD therapy

Koller MT, Circulation Apr 2008


Icd and comorbidities

ICD and Comorbidities

Bruch C, Europace Sep. 2007


The sickest the worst 1

THE SICKEST THE WORST ? - 1

  • Analysis of MADIT 2 patients:

    • Mutivariate analysis of predictor of mortality:

      • Age > 65 yrs

      • NYHA class III - IV

      • AF

      • Increased level of BUN

Cygankiewicz I, Heart Rhythm Apr 2009


The sickest the worst 2

THE SICKEST THE WORST ? - 2

BMI < 26

Schernthaner C, Croat Med Journ 2007


Reverse epidemiology and acute hf

Reverse epidemiology and acute HF

Burger AJ, Int J Cardiol Mar 2008


Bmi and unadjusted all cause mortality

BMI and unadjusted all-cause mortality

Curtis JP, Arch Intern Med 2005


Importance of number of hf episodes

Importance of number of HF episodes

Setoguchi S, CMAJ Mar 2009


Badly treated worst prognosis 1

Badly treated,worst prognosis- 1

  • In MADIT 2, use of ICD was associated with a significant 39% increase in risk of HF

  • Risk can be reduced used the corrected therapy:

    • With B-blockers + ACE-inhibitors HR 0.36

    • With B-blockers only HR 0.51 (metoprolol 0.49, carvedilol 0.48)

    • With ACE-inhibitors only HR 0.64 (p NS)

Pietrasik G, JCE Apr. 2009


Badly treated worst prognosis 2

Badly treated,worst prognosis- 2

Gardiwal A, Europace Oct 2008


Predictors of early mortality in icd patients

Predictors of early mortality in ICD patients

Stein KM, Europace Mar 2009


Predictors of late mortality in icd patients

Predictors of late mortality in ICD patients

Thibodeau JB, Am J Cardiol Mar 2008


Icd and kidney disease

ICD and kidney disease

Favored

Unfavored

* At standard procedural mortality. At procedural mortality rates increased,

age thresholds for ICD implant decrease.

Amin MS, JCE Dec. 2008


Icd and egrf

ICD and eGRF

Goldenberg I, Am J Cardiol Aug 2006


Cause specific mortality in icd patients evadef study 1

Cause-specific mortality in ICD patients: evadef study - 1

Marijon E, Am Heart J Feb 2009


Cause specific mortality in icd patients evadef study 2

Cause-specific mortality in ICD patients: evadef study - 2

  • Among characteristics at implantation:

    • EF < 30% and history of AF related to SCD

    • Age, NYHA class, systemic HT, QRS duration, EF < 30% and lack of B-blockers related to HF death

    • An EF < 30% at implant appears to be the most important predictor of ICD-unresponsive SCD

Marijon E, Am Heart J Feb 2009


Age and icds 1

Age and ICDs- 1

Healey JS, Eur Heart J Feb 2007


Age and icds 2

Age and ICDs- 2

Cause - specific mortality rates

Healey JS, Eur Heart J Feb 2007


Conclusions 1

Conclusions - 1

  • We MUST keep in mind that we do not use ICD to reduce sudden death, but to reduce TOTAL mortality

  • If we cannot reach this goal, to implant an ICD is absolutely USELESS (if not negative for the patient)

  • The problem is: how I identify patients whose greater risk is to die of non cardiac cause of of HF ?


Conclusions 2

Conclusions - 2

  • Predictors od adverse prognosis in HF can be used to identify patients whose prognosis do not deserve an ICD

  • Among this factor we can recognize: non optimal drug therapy, too low EF, comorbidities, AF, low BMI and - particularly - kidney function

  • Score tables can be of some help in taking the right decision, together with good clinical sense


The profile of the heart failure patient who doesn t benefit from an icd

Extending Life, Defibrillators Can Prolong Misery

By Gina Kolata

March 25, 2002

Out of the Blue, a Lightning Bolt to the Heart

By Sandeep Jahuar

Febrary 10, 2004


The final answer

The final answer ...


And the final comment

... and the final comment

I’ve stopped smoking. My life will be one week longer.

And that week will rain all the time!

Woody Allen


  • Login