Ithuralde Mariano, Ballestrini María, Ithuralde Alejandro, Seara Carlos, García Nani María A, Campos Marcelo, Fernández Nelly, García Delucis Pablo, Nojek Carlos
Departamento de Cardiología Infantil y de Cirugía Cardiovascular Pediátrica, FLENI, Ciudad Autónoma de Buenos Aires.
Arch Argent Pediatr. 2009 Jun;107(3):229-33. doi: 10.1590/S0325-00752009000300010.
The RACHS-1 method (Risk Adjustment for Congenital Heart Surgery) is widely used to predict mortality and risk adjustment in pediatric cardiovascular surgery and constitutes a valid tool to compare results among different health centers.
To analyze if the mortality observed in the neonatal group is related to age and/or the risk stratification according to RACHS-1.
From March 2001 to May 2008 we operated on 751 consecutive patients: 160 neonates (0-30 days), 309 infants (31 days-1 year) and 282 olders (1-18 years). Patients in each group were analyzed according to age, RACHS-1, and mortality. We used a logistic regression in which the mortality was the dependent variable and the age and RACHS-1 the independent variables.
The total crude mortality was 4.3%, the neonatal 9.2%. We observed a significant statistical difference of RACHS-1 distribution according to age (chi(2)= 219, p< 0.0001). Logistic analysis showed no statistical difference of mortality (p> 0.05) in the age groups compared to RACHS-1. Furthermore, RACHS-1 is a most powerful mortality predictor (p< 0.001) while age is not (p= 0.8). Using our unit one of RACHS-1 as control group, the odds ratio of the different ages were 2.1 (CI 95%: 1.6-2.7) for each RACHS group.
The age of surgery was not an independent risk factor as to mortality. The RACHS-1 method appeared as a powerful risk factor predictor of mortality; no differences were found in the age groups when classified by RACHS -1.
RACHS-1方法(先天性心脏病手术风险调整)被广泛用于预测小儿心血管手术的死亡率和进行风险调整,是比较不同医疗中心手术结果的有效工具。
分析新生儿组观察到的死亡率是否与年龄和/或根据RACHS-1进行的风险分层相关。
从2001年3月至2008年5月,我们连续为751例患者实施手术:160例新生儿(0 - 30天),309例婴儿(31天至1岁)和282例大龄儿童(1 - 18岁)。根据年龄、RACHS-1和死亡率对每组患者进行分析。我们使用逻辑回归分析,其中死亡率为因变量,年龄和RACHS-1为自变量。
总粗死亡率为4.3%,新生儿组为9.2%。我们观察到根据年龄的RACHS-1分布存在显著统计学差异(卡方值= 219,p < 0.0001)。逻辑分析显示,与RACHS-1相比,各年龄组的死亡率无统计学差异(p > 0.05)。此外,RACHS-1是更强有力的死亡率预测指标(p < 0.001),而年龄则不是(p = 0.8)。以我们单位的RACHS-1中的一组作为对照组,每个RACHS组不同年龄的优势比为2.1(95%置信区间:1.6 - 2.7)。
手术年龄并非死亡率的独立危险因素。RACHS-1方法似乎是死亡率的有力危险因素预测指标;按RACHS -1分类时,各年龄组之间未发现差异。