Predicting the Risk of Death from
Heart Failure After Coronary Artery Bypass Graft Surgery
Anesth Analg 2001; 92: 596-601
Reviewed by: R. Prasad, MD
Summary:
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HF is the most common cause of death after CABG
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Most of the variation seen in mortality after CABG can be explained by
fatal HF
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Therefore, being able to stratify pts by risk of death from HF may be useful
in directing aggressive preemptive therapy.
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Several factors (female sex, h/o CABG, EF<40%, urgent or emergent surgery,
age >70 or >80, PVD, DM, dialysis-dependent RF, 3-v CAD) with varying weights
were incorporated into a clinical risk assessment tool (CRAT - my abbreviation).
-
Here's
the complete formula (not the simplified CRAT) for MathPad users.
Comments:
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Is this really important? That is, will it really make any difference in
care? Hard to say, since I don't do CABG's ...
-
Even their "risk assessment tool" is a bit cumbersome. It's straight forward,
of course, but unless you calculate it many times you would need to have
a summary card (they have such a "pocket-sized card" for their 8 hospitals).
Of course, Palm (MathPad) saves the day!
Methods:
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Northern New England Cardiovascular Disease Study Group: 8 medical centers
in the the north east US, 7/1/87 - 4/1/91.
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HF identified as mode of death if management of hypotension or low CI was
the "seminal event" leading to death.
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Looked at preop patient characteristics associated with death from HF in
univariate and multivariate logistic regression models.
Results:
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8641 patients, 387 (4.48%) deaths, 249 (64.8%) of these due to HF.
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CRAT had good discrimination ability and confidence intervals similar to
the logistic regression model.
|
Variable
|
Score
|
| Age 70-79 |
1.5
|
| Age >=80 |
3
|
| Female |
1.5
|
| H/o CABG |
1.5
|
| Emergent |
6
|
| Urgent |
2
|
| EF<40 |
2.5
|
| 3-v Disease |
1.5
|
| Diabetes |
1.5
|
| PVD |
2.5
|
| Renal Failure |
3
|
| Sum of Scores |
Percentiles |
Risk |
| 0-3 |
Bottom 45.5% |
Low |
| 4-6 |
Middle 44.5% |
Medium |
| >6 |
Top 10% |
High |
Discussion:
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Limitations include:
-
This is a regional study.
-
Even in a large database, few with the highest risk scores. Their recommendation:
consider anyone with score >10 as having 15% risk
-
The CRAT is less precise than using the logistic regression equation (which
is used in the MathPad formula, above).
-
They use it to help direct TEE, invasive monitoring, IABP more towards
high-risk patients. Also, using it in research studies.
Home-Amb-Card-Crit-Neuro-OB-Orth-Pain-Ped-Reg-Tran-Vasc-Misc