d'Espaignet E T, Dwyer T, Newman N M, Ponsonby A L, Candy S G
Australian Institute of Health, Canberra.
Paediatr Perinat Epidemiol. 1990 Oct;4(4):422-35. doi: 10.1111/j.1365-3016.1990.tb00670.x.
A statutory 'Notification of Birth' form, containing obstetric and perinatal information, has been routinely collected for Tasmanian deliveries since 1974. For the period 1980 to 1984, birth notification data was collected for over 99% of Tasmanian deliveries. This data was examined for the 130 cases of sudden infant death syndrome (SIDS) that occurred from 1980 to 1984 and for 610 controls. It was then used to construct an at-birth scoring system to predict infants at higher risk of SIDS in the postneonatal period. A predictive model of the relative risk of SIDS was developed by fitting a binomial/logistic generalised linear model to the binary 1980-1984 case control data with birth variables used as predictors. The final predictive model contained five variables (maternal age, infant sex, birth weight, month of birth and feeding practice) and had a sensitivity of 62% and specificity of 73%. The model was then tested on independent birth cohorts from 1985 and 1986 and found to have a sensitivity of 47% and specificity of 77%. The risk of SIDS in the group of infants classified as high risk was 7.9 per 1000 live births and in the group at low risk it was 2.5 per 1000 live births. In addition, the model predicted 74% of neonatal deaths occurring during these 2 years. This compares well with other predictive models developed elsewhere. The predictive model will be used to identify infants at high risk for SIDS in a prospective cohort study.
自1974年以来,塔斯马尼亚州一直定期收集一份包含产科和围产期信息的法定“出生通知”表格。在1980年至1984年期间,收集了超过99%的塔斯马尼亚州分娩的出生通知数据。对1980年至1984年发生的130例婴儿猝死综合征(SIDS)病例和610例对照的数据进行了检查。然后用这些数据构建了一个出生时评分系统,以预测新生儿期患SIDS风险较高的婴儿。通过将二项式/逻辑广义线性模型拟合到以出生变量为预测因子的1980 - 1984年二元病例对照数据,开发了SIDS相对风险的预测模型。最终的预测模型包含五个变量(母亲年龄、婴儿性别、出生体重、出生月份和喂养方式),灵敏度为62%,特异度为73%。然后在1985年和1986年的独立出生队列中对该模型进行了测试,发现灵敏度为47%,特异度为77%。被归类为高危组的婴儿中SIDS风险为每1000例活产7.9例,低危组为每1000例活产2.5例。此外,该模型预测了这两年期间74%的新生儿死亡。这与其他地方开发的预测模型相比表现良好。该预测模型将用于在前瞻性队列研究中识别患SIDS高危的婴儿。