From the Global and Community Health Department, College of Health and Human Services, George Mason University, Fairfax, VA.
Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Bethesda, MD.
Epidemiology. 2020 Mar;31(2):310-316. doi: 10.1097/EDE.0000000000001134.
Studies linking large pregnancy cohorts with mortality data can address critical questions about long-term implications of gravid health, yet relevant US data are scant. We examined the feasibility of linking the Collaborative Perinatal Project, a large multiracial U.S. cohort study of pregnant women (n = 48,197; 1959-1966), to death records.
We abstracted essential National Death Index (NDI) (1979-2016) (n = 46,428). We performed a linkage to the Social Security Administration Death Master File through 2016 (n = 46,450). Genealogists manually searched vital status in 2016 for a random sample of women (n = 1,249). We conducted agreement analyses for women with abstracted data among the three sources. As proof of concept, we calculated adjusted associations between mortality and smoking and other sociodemographic factors using Cox proportional hazards regression.
We successfully abstracted identifying information for most of the cohort (97%). National Death Index identified the greatest proportion of participants deceased (35%), followed by genealogists (31%) and Death Master File (23%). Estimates of agreement (κ [95% confidence interval]) between National Death Index and Death Master File were lower (0.52 [0.51, 0.53]) than for National Death Index and genealogist (0.66 [0.61, 0.70]). As expected, compared with nonsmokers, smoking ≥1 pack per day was associated with elevated mortality for all vital sources and was strongest for National Death Index.
Linking this historic cohort with mortality records was feasible and agreed reasonably on vital status when compared with other data sources. Such linkage enables future examination of pregnancy conditions in relation to mortality in a diverse U.S. cohort.
将大型妊娠队列与死亡数据联系起来的研究可以解决与孕妇健康有关的长期影响的关键问题,但相关的美国数据很少。我们研究了将大型多种族美国孕妇队列研究(共 48197 名女性;1959-1966 年)与死亡记录联系起来的可行性。
我们从国家死亡索引(NDI)中提取了关键信息(1979-2016 年)(n=46428)。我们通过 2016 年的社会保障局死亡主文件进行了链接(n=46450)。遗传学家在 2016 年对女性的随机样本(n=1249)进行了人工搜索。我们对三个来源中具有提取数据的女性进行了一致性分析。作为概念验证,我们使用 Cox 比例风险回归计算了死亡率与吸烟和其他社会人口因素之间的调整关联。
我们成功地提取了大部分队列的识别信息(97%)。国家死亡索引确定了最多的死亡参与者(35%),其次是遗传学家(31%)和死亡主文件(23%)。国家死亡索引和死亡主文件之间的一致性估计(κ[95%置信区间])较低(0.52[0.51, 0.53]),而国家死亡索引和遗传学家之间的一致性较高(0.66[0.61, 0.70])。正如预期的那样,与不吸烟者相比,每天吸烟≥1 包与所有生命来源的死亡率升高有关,与国家死亡索引的相关性最强。
将这个历史队列与死亡记录联系起来是可行的,与其他数据源相比,在生命状态方面也有合理的一致性。这种联系使未来能够在一个多样化的美国队列中检查与妊娠条件相关的死亡率。