Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Cardiovascular Surgery, Department of Surgery, Johns Hopkins All Children's Heart Institute, Johns Hopkins All Children's Hospital and Florida Hospital for Children, Saint Petersburg, Tampa, and Orlando, Florida.
Duke Clinical Research Institute, Duke University, Durham, North Carolina.
Ann Thorac Surg. 2019 Aug;108(2):558-566. doi: 10.1016/j.athoracsur.2019.01.069. Epub 2019 Mar 7.
The Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model adjusts not only for procedure and age group pairings but also for additional patient factors, including the binary presence or absence of a chromosomal abnormality (CA), syndrome (S), and/or a noncardiac congenital anatomic abnormality (NCAA). This analysis refines case-mix adjustment by adding more granular adjustment for individual conditions (CA, S, and NCAA), consistent with a hypothesis that associated risk of mortality differs between individual conditions.
CA/S corresponding to the same condition were merged to a single condition code. Odds ratios were estimated for all CA/S. For CA/S associated with at least 10 deaths in neonates and infants and at least 10 deaths in children and adults, odds ratios were estimated for the effect of the CA/S separately in neonates/infants and in children/adults. In addition to these condition/age interactions, condition/age/procedure interactions were explored (eg, effect of Down syndrome was estimated based on age and procedure subgroups, including atrioventricular canal repair and single-ventricle palliation). Bayesian modeling was used to create 5 maximally homogeneous groups of CA/S from 81 candidate CA/S variables. A standard logistic regression model then incorporated indicator variables for the 5 categories of CAs/Ss, 7 unique NCAAs, and all other covariates in the previously published Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Model.
Analysis included 107,062 operations in 100 centers (2010 to 2015). Operative Mortality was 3,629 (3.4%). In the development sample, the C statistics of the original nonaugmented model and the augmented model were 0.872 and 0.875, respectively.
The Society of Thoracic Surgeons Congenital Heart Surgery Database Mortality Risk Model has been augmented by addition of covariates representing individual CAs, Ss, and NCAAs.
胸外科医师学会先天性心脏手术数据库死亡率风险模型不仅针对手术和年龄组配对进行调整,还针对其他患者因素进行调整,包括染色体异常(CA)、综合征(S)和/或非心脏先天性解剖异常(NCAA)的二元存在或缺失。该分析通过添加更细粒度的个体条件(CA、S 和 NCAA)调整来完善病例组合调整,这与死亡率相关风险在个体条件之间存在差异的假设一致。
将对应的 CA/S 合并为一个单一的条件代码。估计了所有 CA/S 的优势比。对于在新生儿和婴儿中至少有 10 例死亡且在儿童和成人中至少有 10 例死亡的 CA/S,分别估计了 CA/S 在新生儿/婴儿和儿童/成人中的影响。除了这些条件/年龄相互作用外,还探讨了条件/年龄/手术相互作用(例如,根据年龄和手术亚组估计唐氏综合征的影响,包括房室管修复和单心室姑息性治疗)。贝叶斯建模用于从 81 个候选 CA/S 变量中创建 5 个最大同质的 CA/S 组。然后,标准逻辑回归模型将 5 类 CA/S、7 种独特的 NCAA 和先前发表的胸外科医师学会先天性心脏手术数据库死亡率模型中的所有其他协变量的指示变量纳入其中。
分析包括 100 个中心的 107062 例手术(2010 年至 2015 年)。手术死亡率为 3629(3.4%)。在开发样本中,原始非增强模型和增强模型的 C 统计量分别为 0.872 和 0.875。
通过添加代表个体 CA、S 和 NCAA 的协变量,胸外科医师学会先天性心脏手术数据库死亡率风险模型得到了增强。