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      Assessment of PIM-2 performance among surgical patients with heart disease and correlation of results with RACHS-1 Translated title: Avaliação do desempenho do PIM-2 entre pacientes cardiopatas cirúrgicos e correlação dos resultados com RACHS-1

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          Abstract

          Objective

          To assess the performance of the Pediatric Index of Mortality (PIM) 2 and the Risk Adjustment for Congenital Heart Surgery (RACHS) in the postoperative period of congenital heart disease patients.

          Methods

          Retrospective cross-sectional study. Data were collected from patient records to generate the scores and predictions using recommended techniques, demographic data and outcomes. The Mann-Whitney test, Hosmer-Lemeshow test, standardized mortality rate, area under the receiver operating characteristic (ROC) curve, chi square test, Poisson regression with robust variance and Spearman's test were used for statistical analysis.

          Results

          A total of 263 patients were evaluated, and 72 died (27.4%). These patients presented significantly higher PIM-2 values than survivors (p < 0.001). In the RACHS-1 classification, mortality was progressively higher according to the complexity of the procedure, with a 3.24-fold increase in the comparison between groups 6 and 2. The area under the ROC curve for PIM-2 was 0.81 (95%CI 0.75 - 0.87), while for RACHS-1, it was 0.70 (95%CI 0.63 - 0.77). The RACHS presented better calibration power in the sample analyzed. A significantly positive correlation was found between the results of both scores (r s = 0.532; p < 0.001).

          Conclusion

          RACHS presented good calibration power, and RACHS-1 and PIM-2 demonstrated good performance with regard to their discriminating capacities between survivors and non-survivors. Moreover, a positive correlation was found between the results of the two risk scores.

          Translated abstract

          Objetivo

          Avaliar o desempenho do Pediatric Index of Mortality (PIM) 2 e do Escore de Risco Ajustado para Cirurgia Cardíaca Congênita (RACHS) no pós-operatório de cardiopatas congênitos.

          Métodos

          Estudo transversal retrospectivo. Foram coletados dados de prontuário para gerar os escores e predições com as técnicas preconizadas, os dados demográficos e os desfechos. Para estatística, utilizaram-se o teste de Mann-Whitney, o teste de Hosmer-Lemeshow, a taxa de mortalidade padronizada, a área sobre a curva COR, qui quadrado, regressão de Poisson com variância robusta e teste de Spearman.

          Resultados

          Foram avaliados 263 pacientes, e 72 foram a óbito (27,4%). Estes apresentaram valores de PIM-2 significativamente maiores que os sobreviventes (p < 0,001). Na classificação RACHS-1, a mortalidade foi progressivamente maior, de acordo com a complexidade do procedimento, com aumento de 3,24 vezes na comparação entre os grupos 6 e 2. A área abaixo da curva COR para o PIM-2 foi 0,81 (IC95% 0,75 - 0,87) e, para RACHS-1, de 0,70 (IC95% 0,63 - 0,77). A RACHS apresentou melhor poder de calibração na amostra analisada. Foi encontrada correlação significativamente positiva entre os resultados de ambos os escores (r s = 0,532; p < 0,001).

          Conclusão

          A RACHS apresentou bom poder de calibração, e RACHS-1 e PIM-2 demonstraram bom desempenho quanto à capacidade de discriminação entre sobreviventes e não sobreviventes. Ainda, foi encontrada correlação positiva entre os resultados dos dois escores de risco.

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          Most cited references18

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          Consensus-based method for risk adjustment for surgery for congenital heart disease.

          The aim was to develop a consensus-based method of risk adjustment for in-hospital mortality among children younger than 18 years after surgery for congenital heart disease (designated RACHS-1). An 11-member national panel of pediatric cardiologists and cardiac surgeons used clinical judgment to place surgical procedures into six risk categories. Categories were refined after review of information from the Pediatric Cardiac Care Consortium and three statewide hospital discharge data sets. The effects of including additional clinical variables were explored by comparing areas under receiver-operator characteristic curves. Among 4602 surgical patients in the Pediatric Cardiac Care Consortium data set and 4493 in the hospital discharge data, 3767 (81.9%) and 3832 (85.3%), respectively, had a single cardiac procedure, and 98.5% and 89.2%, respectively, were able to be assigned to one of six risk categories defined by the panel. Mortality rates showed expected trends (P <.001). For the Pediatric Cardiac Care Consortium data, mortality rates were 0.4% in category 1, 3.8% in 2, 8.5% in 3, 19.4% in 4, and 47.7% in 6; rates were similar in the hospital discharge data. There were too few cases in category 5 to estimate mortality rates. In multivariable models, younger age, prematurity, and the presence of a major noncardiac structural anomaly added to the risk of in-hospital death predicted by risk category alone. Best performance was obtained when cases with multiple procedures were placed in the risk category of the most complex procedure. The RACHS-1 method should adjust for baseline risk differences and allow meaningful comparisons of in-hospital mortality for groups of children undergoing surgery for congenital heart disease.
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            Epidemiology of congenital heart disease in Brazil

            Introduction Congenital heart disease is an abnormality in the structure or cardiocirculatory function, occurring from birth, even if diagnosed later. It can result in intrauterine death in childhood or in adulthood. Accounted for 6% of infant deaths in Brazil in 2007. Objective To estimate underreporting in the prevalence of congenital heart disease in Brazil and its subtypes. Methods The calculations of prevalence were performed by applying coefficients, giving them function rates for calculations of health problems. The study makes an approach between the literature and the governmental registries. It was adopted an estimate of 9: 1000 births and prevalence rates for subtypes applied to births of 2010. Estimates of births with congenital heart disease were compared with the reports to the Ministry of Health and were studied by descriptive methods with the use of rates and coefficients represented in tables. Results The incidence in Brazil is 25,757 new cases/year, distributed in: North 2,758; Northeast 7,570; Southeast 10,112; South 3,329; and Midwest 1,987. In 2010, were reported to System of Live Birth Information of Ministry of Health 1,377 cases of babies with congenital heart disease, representing 5.3% of the estimated for Brazil. In the same period, the most common subtypes were: ventricular septal defect (7,498); atrial septal defect (4,693); persistent ductus arteriosus (2,490); pulmonary stenosis (1,431); tetralogy of Fallot (973); coarctation of the aorta (973); transposition of the great arteries (887); and aortic stenosis 630. The prevalence of congenital heart disease, for the year of 2009, was 675,495 children and adolescents and 552,092 adults. Conclusion In Brazil, there is underreporting in the prevalence of congenital heart disease, signaling the need for adjustments in the methodology of registration.
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              The RACHS-1 risk categories reflect mortality and length of stay in a Danish population of children operated for congenital heart disease.

              The Risk Adjusted classification for Congenital Heart Surgery (RACHS-1) was created in order to compare in-hospital mortality for groups of children undergoing surgery for congenital heart disease. The method was evaluated with two large multi-institutional data sets-the Paediatric Cardiac Care Consortium (PCCC) and Hospital Discharge (HD) data from three states in the USA. The RACHS-1 classification was later applied to a large German paediatric cardiac surgery population in Bad Oeynhausen (BO), where it was found that the RACHS-1 categories were also associated with length of stay. We applied the RACHS-1 classification to the 957 operations performed during January 1996 to December 2002 at Skejby Sygehus, Denmark and we examined the association between the RACHS-1 categories, in-hospital mortality and length of stay in the Intensive Care Unit. The operations were classified according to the six RACHS-1 categories by matching the procedure of each patient with a risk category. The ability of the RACHS-1 classification to predict mortality in our population was examined by estimating the area under the receiver operator characteristic (ROC) curve. Likelihood ratio chi(2) tests were used to compare the distribution of RACHS-1 categories and the distribution of mortality with PCCC, HD and BO. Linear regression was used to examine the correlation between the RACHS-1 categories and length of stay in the Intensive Care Unit. The RACHS-1 category frequencies in our population were: category 1: 18.4%, category 2: 37.4%, category 3: 34.6%, category 4: 8.2%, category 5: 0% and category 6: 1.5%. The overall ability of the RACHS-1 classification to predict in-hospital mortality (area under the ROC curve 0.741; 95% confidence interval=0.690; 0.791) was equal to the findings from larger populations. We found no differences in the category specific mortality when comparing with the larger reported series. There was a positive association between RACHS-1 category and length of stay in the Intensive Care Unit. The RACHS-1 classification can also be used to predict in-hospital mortality and length of stay in the Intensive Care Unit in a small volume centre.
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                Author and article information

                Journal
                Rev Bras Ter Intensiva
                Rev Bras Ter Intensiva
                rbti
                Revista Brasileira de Terapia Intensiva
                Associação de Medicina Intensiva Brasileira - AMIB
                0103-507X
                1982-4335
                Oct-Dec 2017
                Oct-Dec 2017
                : 29
                : 4
                : 453-459
                Affiliations
                [1 ] Hospital da Criança Santo Antônio, Irmandade Santa Casa de Misericórdia de Porto Alegre - Rio Grande do Sul (RS), Brazil.
                Author notes
                Corresponding author: Raíssa Queiroz Rezende, Hospital da Criança Santo Antônio, Irmandade Santa Casa de Misericórdia de Porto Alegre, Avenida Independência, 155, Zip code: 90540-210 - Porto Alegre (RS), Brazil. E-mail: raissaq@ 123456gmail.com
                Article
                10.5935/0103-507X.20170069
                5764557
                29340536
                22eba24f-42f1-45be-a858-524f820ade17

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 March 2017
                : 22 June 2017
                Categories
                Original Articles

                heart defects, congenital/surgery,heart defects, congenital/mortality,postoperative period,risk adjustment,risk assessment,cardiopatias congênitas/cirurgia,cardiopatias congênitas/mortalidade,período pós-operatório,risco ajustado,avaliação de risco

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