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Research Article

Does coronary artery bypass surgery improve survival?

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Pages 269-277 | Received 21 Dec 2011, Accepted 11 Apr 2012, Published online: 04 May 2012

Figures & data

Table I. Patient characteristics. Mean ± standard deviation or number (%).

Table II. ‘Univariable’ analyses of hazard functions of death (‘univariable’ analysis of β–coefficients and hazard ratios is not truly univariable but includes time since TRIAGE and surgery respectively and age).

Figure 1. To illustrate the difference between the pre- and postoperative risk models, we have chosen a moderately increased risk profile (age of 67 years at decision, EF =40%, diabetes, NYHA =2, S-creatinine =150 µmol/L, and stable angina operated 7 days after triage). The two curves give the preoperative (bold line) and postoperative (thin line) hazard function curves.

Figure 1. To illustrate the difference between the pre- and postoperative risk models, we have chosen a moderately increased risk profile (age of 67 years at decision, EF =40%, diabetes, NYHA =2, S-creatinine =150 µmol/L, and stable angina operated 7 days after triage). The two curves give the preoperative (bold line) and postoperative (thin line) hazard function curves.

Table III. Multivariable analyses (significant β–coefficients, age, and time since TRIAGE and surgery respectively were included).

Figure 2. Predicted and observed deaths (absolute numbers) before (to the left) and after surgery (to the right) accumulated over time.

Figure 2. Predicted and observed deaths (absolute numbers) before (to the left) and after surgery (to the right) accumulated over time.

Table IV. Probability of death (Individual values of all patients were entered in the two hazard function and the probability of death for each patient is presented according to the criteria of table headings).

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