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Performance of InsCor and three international scores in cardiac surgery at Santa Casa de Marília.

Tiveron MG, Bomfim HA, Simplício MS, Bergonso MH, Matos MP, Ferreira SM, Pelloso EA, Barros RT - Rev Bras Cir Cardiovasc (2015 Jan-Mar)

Bottom Line: The discriminatory power of STS score 0.649 (95% CI 0.529 to 0.770, P=0.012), Eurosc1 0.706 (95% CI 0.589 to 0.823, P ≤0.001), Eurosc2 was 0.704 (95% CI 0.590-0.818 P=0.001) and InsCor 0.739 (95% CI 0.638 to 0.839, P ≤0.001).We can say that overall, the InsCor was the best model, mainly in the discrimination of the sample.The InsCor showed good accuracy, in addition to being effective and easy to apply, especially by using a smaller number of variables compared to the other models.

View Article: PubMed Central - PubMed

Affiliation: Irmandade da Santa Casa de Misericórdia de Marília, Marília, SP, Brazil.

ABSTRACT

Objective: To apply and to compare the Society of Thoracic Surgery score (STS), EuroSCORE (Eurosc1), EuroSCORE II (Eurosc2) and InsCor (IS) for predicting mortality in patients undergoing to coronary artery bypass graft and/or valve surgery at the Santa Casa Marilia.

Methods: The present study is a cohort. It is a prospective, observational, analytical and unicentric. We analyzed 562 consecutive patients coronary artery bypass graft and/or valve surgery, between April 2011 and June 2013 at the Santa Casa Marilia. Mortality was calculated for each patient through the scores STS, Eurosc1, Eurosc2 and IS. The calibration was calculated using the Hosmer Lemeshow test and discrimination by ROC curve.

Results: The hospital mortality was 4,6%. The calibration is generally adequate group P=0.345, P=0.765, P=0.272 and P=0.062 for STS, Eurosc1, Eurosc2, and IS respectively. The discriminatory power of STS score 0.649 (95% CI 0.529 to 0.770, P=0.012), Eurosc1 0.706 (95% CI 0.589 to 0.823, P ≤0.001), Eurosc2 was 0.704 (95% CI 0.590-0.818 P=0.001) and InsCor 0.739 (95% CI 0.638 to 0.839, P ≤0.001).

Conclusion: We can say that overall, the InsCor was the best model, mainly in the discrimination of the sample. The InsCor showed good accuracy, in addition to being effective and easy to apply, especially by using a smaller number of variables compared to the other models.

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ROC curve for the Eurosc1, Eurosc2, STS-score and InsCor. EuroSc1ROC=ROC curve presented by EuroSCORE score; EuroSc2 ROC=ROC curvepresented by EuroSCORE II score; STS ROC=ROC curve presented bySTS-score score; InsCor ROC=ROC curve presented by InsCor score
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f01: ROC curve for the Eurosc1, Eurosc2, STS-score and InsCor. EuroSc1ROC=ROC curve presented by EuroSCORE score; EuroSc2 ROC=ROC curvepresented by EuroSCORE II score; STS ROC=ROC curve presented bySTS-score score; InsCor ROC=ROC curve presented by InsCor score

Mentions: In the analysis of the whole group, association was observed betweenInsCor and death (P <0.001). The Hosmer-Lemeshowtest showed a goodness-of-fit statistic = 8.9533 with 4 degrees offreedom and P =0.0623. For coronary procedures, weobserve that although the InsCor was not associated with death(P =0.059), it showed good calibration(P =0.110). For valve surgery, we observed thatInsCor is associated with death (P =0.002) and goodcalibration (P =0.743). For associated surgeries(coronary and valve), the InsCor was associated with death(P =0.022) but the calibration was not adequate(P≤0.001).


Performance of InsCor and three international scores in cardiac surgery at Santa Casa de Marília.

Tiveron MG, Bomfim HA, Simplício MS, Bergonso MH, Matos MP, Ferreira SM, Pelloso EA, Barros RT - Rev Bras Cir Cardiovasc (2015 Jan-Mar)

ROC curve for the Eurosc1, Eurosc2, STS-score and InsCor. EuroSc1ROC=ROC curve presented by EuroSCORE score; EuroSc2 ROC=ROC curvepresented by EuroSCORE II score; STS ROC=ROC curve presented bySTS-score score; InsCor ROC=ROC curve presented by InsCor score
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4389514&req=5

f01: ROC curve for the Eurosc1, Eurosc2, STS-score and InsCor. EuroSc1ROC=ROC curve presented by EuroSCORE score; EuroSc2 ROC=ROC curvepresented by EuroSCORE II score; STS ROC=ROC curve presented bySTS-score score; InsCor ROC=ROC curve presented by InsCor score
Mentions: In the analysis of the whole group, association was observed betweenInsCor and death (P <0.001). The Hosmer-Lemeshowtest showed a goodness-of-fit statistic = 8.9533 with 4 degrees offreedom and P =0.0623. For coronary procedures, weobserve that although the InsCor was not associated with death(P =0.059), it showed good calibration(P =0.110). For valve surgery, we observed thatInsCor is associated with death (P =0.002) and goodcalibration (P =0.743). For associated surgeries(coronary and valve), the InsCor was associated with death(P =0.022) but the calibration was not adequate(P≤0.001).

Bottom Line: The discriminatory power of STS score 0.649 (95% CI 0.529 to 0.770, P=0.012), Eurosc1 0.706 (95% CI 0.589 to 0.823, P ≤0.001), Eurosc2 was 0.704 (95% CI 0.590-0.818 P=0.001) and InsCor 0.739 (95% CI 0.638 to 0.839, P ≤0.001).We can say that overall, the InsCor was the best model, mainly in the discrimination of the sample.The InsCor showed good accuracy, in addition to being effective and easy to apply, especially by using a smaller number of variables compared to the other models.

View Article: PubMed Central - PubMed

Affiliation: Irmandade da Santa Casa de Misericórdia de Marília, Marília, SP, Brazil.

ABSTRACT

Objective: To apply and to compare the Society of Thoracic Surgery score (STS), EuroSCORE (Eurosc1), EuroSCORE II (Eurosc2) and InsCor (IS) for predicting mortality in patients undergoing to coronary artery bypass graft and/or valve surgery at the Santa Casa Marilia.

Methods: The present study is a cohort. It is a prospective, observational, analytical and unicentric. We analyzed 562 consecutive patients coronary artery bypass graft and/or valve surgery, between April 2011 and June 2013 at the Santa Casa Marilia. Mortality was calculated for each patient through the scores STS, Eurosc1, Eurosc2 and IS. The calibration was calculated using the Hosmer Lemeshow test and discrimination by ROC curve.

Results: The hospital mortality was 4,6%. The calibration is generally adequate group P=0.345, P=0.765, P=0.272 and P=0.062 for STS, Eurosc1, Eurosc2, and IS respectively. The discriminatory power of STS score 0.649 (95% CI 0.529 to 0.770, P=0.012), Eurosc1 0.706 (95% CI 0.589 to 0.823, P ≤0.001), Eurosc2 was 0.704 (95% CI 0.590-0.818 P=0.001) and InsCor 0.739 (95% CI 0.638 to 0.839, P ≤0.001).

Conclusion: We can say that overall, the InsCor was the best model, mainly in the discrimination of the sample. The InsCor showed good accuracy, in addition to being effective and easy to apply, especially by using a smaller number of variables compared to the other models.

Show MeSH