O'Connor Gerald T, Quinton Hebe B, Kahn Richard, Robichaud Priscilla, Maddock Joanne, Lever Thomas, Detzer Mark, Brooks John G
Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA.
Pediatr Pulmonol. 2002 Feb;33(2):99-105. doi: 10.1002/ppul.10042.
Comparison of patient mortality rates in cystic fibrosis (CF) obtained from different institutions requires the use of case-mix adjustment methods to account for baseline differences in patient and disease characteristics. There is no current professional consensus on the use of case-mix adjustment methods for use in comparing mortality rates in CF. Characteristics used for this case-mix adjustment should include those that are different across institutions and are associated with patient survival. They should not include characteristics of disease severity that may be a consequence of effectiveness of treatment. The goal of these analyses was to identify a set of these characteristics of patients or disease that would be useful for case-mix adjustment of CF mortality rates. Data from the Cystic Fibrosis Foundation Patient Registry and from the United States Census of the Population (1990) were used in these analyses. Kaplan-Meier techniques, the log-rank test, and Cox proportional hazards regression were used to estimate survivorship, calculate hazard ratios (HR), 95% confidence intervals (CI(95%)), and to conduct tests of statistical significance. The data set included all 30,469 CF patients seen at CF Care Centers from 1982-1998. There were 5,906 deaths during 508,721 person-years of follow-up. In multivariate analyses, female gender (HR 1.30, CI(95%) (1.16, 1,47), P < 0.001), nonwhite race (HR 1.48, CI(95%) (1.07, 2.04), P = 0.018), Hispanic ethnicity (HR 1.85, CI(95%) (1.42, 2.43), P < 0.001), and symptomatic presentation (respiratory, gastrointestinal, respiratory and gastrointestinal, meconium ileus, and other symptomatic presentations; HRs 1.38-1.83; P values, 0.028 to < 0.001) were associated with higher risk of death. The homozygous Delta F508 genotype (HR 1.36, CI(95%) (1.19, 1.55), P < 0.001) and neither mutation being Delta F508 (HR 1.40, CI(95%) (1.15, 1.71), P = 0.001) were also associated with higher risk of death. Patients diagnosed after 36 months of age had almost 50% reduction in risk of death compared to those diagnosed before 6 months of age (HR 0.52 CI(95%) (0.44, 0.61), P < 0.001). When patients living in zip codes with a median household income > $50,000/year (corrected for the 1999 consumer price index) were compared with those living in areas with a median household income < $20,000/year, it was apparent that those in the wealthier areas had a 40% reduced risk of death (HR 0.60, CI(95%) (0.44, 0.82), P = 0.001). All of these characteristics were independently significant predictors of death, and all of these characteristics differed significantly across the CF Care Centers. This case-mix adjustment model uses patient and disease characteristics available at the time of diagnosis of CF, and is not believed to be influenced by subsequent treatment to predict the risk of death. If these case-mix adjustment methods are adopted broadly, they will make it possible to study treatment effects and differences in mortality outcomes, while adjusting for baseline differences in patient and disease characteristics.
比较不同机构获得的囊性纤维化(CF)患者死亡率需要使用病例组合调整方法,以考虑患者和疾病特征的基线差异。目前对于在比较CF死亡率时使用病例组合调整方法尚无专业共识。用于这种病例组合调整的特征应包括那些机构间存在差异且与患者生存相关的特征。它们不应包括可能是治疗效果结果的疾病严重程度特征。这些分析的目的是确定一组患者或疾病的这些特征,它们将有助于CF死亡率的病例组合调整。这些分析使用了囊性纤维化基金会患者登记处和美国人口普查(1990年)的数据。采用Kaplan-Meier技术、对数秩检验和Cox比例风险回归来估计生存率、计算风险比(HR)、95%置信区间(CI(95%))并进行统计学显著性检验。数据集包括1982 - 1998年在CF护理中心就诊的所有30469例CF患者。在508721人年的随访期间有5906例死亡。在多变量分析中,女性(HR 1.30,CI(95%) (1.16, 1.47),P < 0.001)、非白人种族(HR 1.48,CI(95%) (1.07, 2.04),P = 0.018)、西班牙裔(HR 1.85,CI(95%) (1.42, 2.43),P < 0.001)以及症状表现(呼吸、胃肠道、呼吸和胃肠道、胎粪性肠梗阻及其他症状表现;HRs 1.38 - 1.83;P值0.028至< 0.001)与较高的死亡风险相关。纯合Delta F508基因型(HR 1.36,CI(95%) (1.19, 1.55),P < 0.001)以及两个突变均非Delta F508(HR 1.40,CI(95%) (1.15, 1.71),P = 0.001)也与较高的死亡风险相关。与6个月龄前诊断的患者相比,36个月龄后诊断的患者死亡风险降低了近50%(HR 0.52,CI(95%) (0.44, 0.61),P < 0.001)。当将居住在家庭收入中位数> 50000美元/年(根据1999年消费者价格指数校正)邮政编码区域的患者与居住在家庭收入中位数< 20000美元/年地区的患者进行比较时,很明显较富裕地区的患者死亡风险降低了40%(HR 0.60,CI(95%) (0.44, 0.82),P = 0.001)。所有这些特征都是死亡的独立显著预测因素,并且所有这些特征在CF护理中心之间存在显著差异。这种病例组合调整模型使用CF诊断时可用的患者和疾病特征,并且据信不受后续治疗影响来预测死亡风险。如果广泛采用这些病例组合调整方法,将有可能在调整患者和疾病特征的基线差异的同时研究治疗效果和死亡率结果的差异。