Observational studyRevista brasileira de cirurgia cardiovascular : orgao oficial da Sociedade Brasileira de Cirurgia Cardiovascular
Performance of InsCor and three international scores in cardiac surgery at Santa Casa de Marília.
Observational study in Revista brasileira de cirurgia cardiovascular : orgao oficial da Sociedade Brasileira de Cirurgia Cardiovascular. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review and meta-analysis of mortality risk prediction models in adult cardiac surgery.Interactive cardiovascular and thoracic surgery · 2021Pooled it
- Application of Mechanical Ventilation Weaning Predictors After Elective Cardiac Surgery.Brazilian journal of cardiovascular surgeryArticle
- Mortality Risk After Cardiac Surgery: Application of Inscor in a University Hospital in Brazil's Northeast.Brazilian journal of cardiovascular surgeryArticle
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8 authors.
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Abstract
objectiveTo 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.
methodsThe 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.
resultsThe 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).
conclusionWe 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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