Carmona Fabio, Manso Paulo H, Vicente Walter V A, Castro Margaret, Carlotti Ana P C P
Division of Pediatric Critical Care Medicine, Department of Pediatrics, Hospital das Clinicas, Faculty of Medicine of Ribeirao Preto, University of Sao Paulo, Campus Universitario, Ribeirao Preto, SP, Brazil.
Cytokine. 2008 Jun;42(3):317-24. doi: 10.1016/j.cyto.2008.03.005. Epub 2008 Apr 15.
Low cardiac output syndrome (LCOS) is a common problem following cardiac surgery with cardiopulmonary bypass (CPB) in neonates and infants, and its early recognition remains a challenging task. We aimed to test whether a multimarker approach combining inflammatory and cardiac markers provides complementary information for prediction of LCOS and death in children submitted to cardiac surgery with CPB. Forty-six children younger than 18 months with congenital heart defects were prospectively enrolled. No intervention was made. Blood samples were collected pre-operatively, during CPB and post-operatively (PO) for measurement of interleukin (IL)-6, IL-8, IL-10, tumor necrosis factor (TNF)-alpha, cardiac troponin I (cTnI) and N-terminal pro-B-type natriuretic peptide (NT-proBNP). Clinical data and outcome variables were recorded. Logistic regression was used to identify predictors of LCOS and death. Multivariate logistic regression identified pre-operative NT-proBNP and IL-8 4h PO as independent predictors of LCOS, while cTnI 4h PO and CPB length were independent predictors of death. The use of inflammatory and cardiac markers in combination improved sensitivity, negative predictive value and accuracy of the models. In conclusion, the combined assessment of inflammatory and cardiac biochemical markers can be useful for identifying young children at increased risk for LCOS and death after heart surgery with CPB.
低心排血量综合征(LCOS)是新生儿和婴儿体外循环心脏手术后的常见问题,其早期识别仍然是一项具有挑战性的任务。我们旨在测试一种结合炎症和心脏标志物的多标志物方法是否能为接受体外循环心脏手术的儿童预测LCOS和死亡提供补充信息。前瞻性纳入了46名18个月以下患有先天性心脏病的儿童。未进行干预。在术前、体外循环期间和术后(PO)采集血样,以测量白细胞介素(IL)-6、IL-8、IL-10、肿瘤坏死因子(TNF)-α、心肌肌钙蛋白I(cTnI)和N末端B型利钠肽原(NT-proBNP)。记录临床数据和结局变量。使用逻辑回归来确定LCOS和死亡的预测因素。多变量逻辑回归确定术前NT-proBNP和术后4小时的IL-8是LCOS的独立预测因素,而术后4小时的cTnI和体外循环时间是死亡的独立预测因素。联合使用炎症和心脏标志物可提高模型的敏感性、阴性预测值和准确性。总之,联合评估炎症和心脏生化标志物有助于识别体外循环心脏手术后发生LCOS和死亡风险增加的幼儿。