InsCor and other three international scores performance in cardiac surgery at the Santa Casa de Marilia

Tiveron, Marcos Gradim; Bomfim, Helton Augusto; Simplício, Maycon Soto; Bergonso, Marcos Henriques; Matos, Milena Paiva Brasil de; Ferreira, Sergio Marques; Pelloso, Eraldo Antônio; Barros, Rubens Tofano de

doi:10.5935/1678-9741.20140116

Cited by 4 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, development and validation of local models are becoming increasingly necessary due to demographic, socioeconomic, and cultural aspects of different populations [4,5] . The combination of the data resulting from the risk score models allows for adaptation, improvement and even innovation in treatment programs [2] .…”

Section: Introductionmentioning

confidence: 99%

Mortality Risk After Cardiac Surgery: Application of Inscor in a University Hospital in Brazil's Northeast

Fortes¹,

Silva²,

Baldez³

et al. 2016

Brazilian Journal of Cardiovascular Surgery

View full text Add to dashboard Cite

ObjectiveTo apply the InsCor in patients undergoing cardiac surgery in a university hospital in Brazil's northeast.MethodsIt is a retrospective, quantitative and analytical study, carried out at the University Hospital of the Federal University of Maranhão. InsCor is a remodeling of two risk score models. It evaluates the prediction of mortality through variables such as gender, age, type of surgery or reoperation, exams, and preoperative events. Data from January to December 2015 were collected, using a Physical Therapy Evaluation Form and medical records. Quantitative variables were expressed as mean and standard deviation and qualitative variables as absolute and relative frequencies. Fisher's exact and Kruskal-Wallis tests were applied, considering significant differences when P value was < 0.05. Calibration was performed by Hosmer-Lemeshow test.ResultsOne hundred and forty-eight patients were included. Thirty-six percent were female, with mean age of 54.7±15.8 years and mean body mass index (BMI) equal to 25.6 kg/m2. The most frequent surgery was coronary artery bypass grafting (51.3%). According to InsCor, 73.6% of the patients had low risk, 20.3% medium risk, and only 6.1% high risk. In this sample, 11 (7.4%) patients died. The percentage of death in patients classified as low, medium and high risk was 6.3, 7.1% and 11.1%, respectively.ConclusionInsCor presented easy applicability due to the reduced number of variables analyzed and it showed satisfactory prediction of mortality in this sample of cardiac surgery patients.

show abstract

Section: Introductionmentioning

confidence: 99%

Mortality Risk After Cardiac Surgery: Application of Inscor in a University Hospital in Brazil's Northeast

Fortes¹,

Silva²,

Baldez³

et al. 2016

Brazilian Journal of Cardiovascular Surgery

View full text Add to dashboard Cite

show abstract

“…Many such scores were developed on specific patient populations and their applicability may not be generalizable (7). As a result, cardiac surgical services have assessed the external validity of such scores and where necessary have recalibrated original scores or developed their own local scores to better predict outcomes in their patient population (8,9). The additive Euroscore (AE) has been widely used in developed nations; of particular note, a low preoperative cardiac ejection fraction (<30%) has been shown to be a predictor of increased operative mortality (10,11).…”

Section: Introductionmentioning

confidence: 99%

Validation of the Euroscore on Cardiac Surgery Patients in Nairobi

Mark¹,

Mehta²,

Mitema³

et al. 2018

Ann Afr Surg.

View full text Add to dashboard Cite

Background: The Additive Euroscore (AE) predicts outcomes in cardiac surgical procedures performed on cardiopulmonary bypass. It's been widely used in developed nations but it's applicability in Kenya is unknown. Our objective was to determine its applicability at Kenyatta National Hospital (Kenya). Methods: A retrospective study was carried out between 1st January 2011 and 31st December 2015. Risk factor prevalence was compared with that of the AE derivation population. The AE was calculated; discrimination was determined by receiver operator curve analysis. Results: Of 109 patients, significant differences (Kenyan vs. AE derivation) were found in the prevalence of pulmonary y hypertension (58.7% vs. 2%) and isolated coronary artery bypass graft surgery (4.6% vs. 65%). Only double valve replacement was a risk factor for operative mortality; odds ratio 5.98 (1.83

show abstract

Systematic review and meta-analysis of mortality risk prediction models in adult cardiac surgery

Sinha

Dimagli

Dixon

et al. 2021

Interactive CardioVascular and Thoracic Surgery

View full text Add to dashboard Cite

OBJECTIVES The most used mortality risk prediction models in cardiac surgery are the European System for Cardiac Operative Risk Evaluation (ES) and Society of Thoracic Surgeons (STS) score. There is no agreement on which score should be considered more accurate nor which score should be utilized in each population subgroup. We sought to provide a thorough quantitative assessment of these 2 models. METHODS We performed a systematic literature review and captured information on discrimination, as quantified by the area under the receiver operator curve (AUC), and calibration, as quantified by the ratio of observed-to-expected mortality (O:E). We performed random effects meta-analysis of the performance of the individual models as well as pairwise comparisons and subgroup analysis by procedure type, time and continent. RESULTS The ES2 {AUC 0.783 [95% confidence interval (CI) 0.765–0.800]; O:E 1.102 (95% CI 0.943–1.289)} and STS [AUC 0.757 (95% CI 0.727–0.785); O:E 1.111 (95% CI 0.853–1.447)] showed good overall discrimination and calibration. There was no significant difference in the discrimination of the 2 models (difference in AUC −0.016; 95% CI −0.034 to −0.002; P = 0.09). However, the calibration of ES2 showed significant geographical variations (P < 0.001) and a trend towards miscalibration with time (P=0.057). This was not seen with STS. CONCLUSIONS ES2 and STS are reliable predictors of short-term mortality following adult cardiac surgery in the populations from which they were derived. STS may have broader applications when comparing outcomes across continents as compared to ES2. REGISTRATION Prospero (https://www.crd.york.ac.uk/PROSPERO/) CRD42020220983.

show abstract

InsCor and other three international scores performance in cardiac surgery at the Santa Casa de Marilia

Cited by 4 publications

References 24 publications

Mortality Risk After Cardiac Surgery: Application of Inscor in a University Hospital in Brazil's Northeast

Mortality Risk After Cardiac Surgery: Application of Inscor in a University Hospital in Brazil's Northeast

Validation of the Euroscore on Cardiac Surgery Patients in Nairobi

Systematic review and meta-analysis of mortality risk prediction models in adult cardiac surgery

Contact Info

Product

Resources

About