A discriminant analysis prediction model of non-syndromic cleft lip with or without cleft palate based on risk factors

被引:18
|
作者
Li, Huixia [1 ,2 ]
Luo, Miyang [3 ]
Luo, Jiayou [1 ]
Zheng, Jianfei [4 ]
Zeng, Rong [5 ]
Du, Qiyun [6 ]
Fang, Junqun [6 ]
Ouyang, Na [7 ]
机构
[1] Cent S Univ, Xiangya Sch Publ Hlth, Dept Maternal & Children Hlth, 110 Xiangya Rd, Changsha 410008, Hunan, Peoples R China
[2] Hunan Prov Maternal & Child Hlth Care Hosp, Dept Child Hlth Care, 53 Xiangchun Rd, Changsha 410008, Hunan, Peoples R China
[3] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Dept Epidemiol, 21 Lower Kent Ridge Rd, Singapore 119077, Singapore
[4] Cent S Univ, Xiangya Hosp 2, Dept Emergency & Intens Care Med, 139 Cent Renminzhong Rd, Changsha 410011, Hunan, Peoples R China
[5] Cent S Univ, Xiangya Hosp, Dept Pharm, 87 Xiangya Rd, Changsha 410008, Hunan, Peoples R China
[6] Hunan Prov Maternal & Child Hlth Care Hosp, Dept Hlth Care, 53 Xiangchun Rd, Changsha 410008, Hunan, Peoples R China
[7] Cent S Univ, Xiangya Hosp 2, Dept Hosp Infect Control, 139 Cent Renmin Rd, Changsha 410011, Hunan, Peoples R China
来源
BMC PREGNANCY AND CHILDBIRTH | 2016年 / 16卷
基金
中国国家自然科学基金;
关键词
Non-syndromic cleft lip with or without cleft palate; Prediction model; Discriminant analysis; Risk factors; OROFACIAL CLEFTS; ORAL CLEFTS; OCCUPATIONAL-EXPOSURE; CAFFEINE; CONSUMPTION; COHORT; SKILLS; AGE;
D O I
10.1186/s12884-016-1116-4
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Background: A risk prediction model of non-syndromic cleft lip with or without cleft palate (NSCL/P) was established by a discriminant analysis to predict the individual risk of NSCL/P in pregnant women. Methods: A hospital-based case-control study was conducted with 113 cases of NSCL/P and 226 controls without NSCL/P. The cases and the controls were obtained from 52 birth defects' surveillance hospitals in Hunan Province, China. A questionnaire was administered in person to collect the variables relevant to NSCL/P by face to face interviews. Logistic regression models were used to analyze the influencing factors of NSCL/P, and a stepwise Fisher discriminant analysis was subsequently used to construct the prediction model. Results: In the univariate analysis, 13 influencing factors were related to NSCL/P, of which the following 8 influencing factors as predictors determined the discriminant prediction model: family income, maternal occupational hazards exposure, premarital medical examination, housing renovation, milk/soymilk intake in the first trimester of pregnancy, paternal occupational hazards exposure, paternal strong tea drinking, and family history of NSCL/P. The model had statistical significance (lambda = 0.772, chi-square = 86.044, df = 8, P < 0.001). Self-verification showed that 83.8 % of the participants were correctly predicted to be NSCL/P cases or controls with a sensitivity of 74.3 % and a specificity of 88.5 %. The area under the receiver operating characteristic curve (AUC) was 0.846. Conclusions: The prediction model that was established using the risk factors of NSCL/P can be useful for predicting the risk of NSCL/P. Further research is needed to improve the model, and confirm the validity and reliability of the model.
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页数:8
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