OBJECTIVE: To identify the risk factors associated with congenital microtia. METHODS: A case-control, retrospective study was performed. A total of 207 cases of congenital microtia and 209 age-frequently-matched controls were interviewed individually according to the uniform questionnaire. The questionnaire included: (1) Essential information about patients and their parents. (2) First trimester diseases and medication of mother. (3) Past gestation history of mother. (4) Family history and life style of the parent. The available data were analyzed by chi-square test and multivariate Logistic regression model. RESULTS: The factors, such as gender (OR = 5.893), first trimester disease of mother (OR = 34.49) and medication (OR = 4.299), excessive drinking and smoking of father (OR = 4. 347, OR = 4.304), non-primiparous parity (OR = 9.524), abortion (spontaneous and induced, OR = 1.723), low-education of mother (OR = 2.275) were risk factors contributing to microtia in multivariate study. The factors, such as tea (OR = 0.179) were protective factors in multivariate study. CONCLUSIONS: Multi-risks factors are contributing to microtia. Preventive measures according to risk factors should be put forward.
OBJECTIVE: To identify the risk factors associated with congenital microtia. METHODS: A case-control, retrospective study was performed. A total of 207 cases of congenital microtia and 209 age-frequently-matched controls were interviewed individually according to the uniform questionnaire. The questionnaire included: (1) Essential information about patients and their parents. (2) First trimester diseases and medication of mother. (3) Past gestation history of mother. (4) Family history and life style of the parent. The available data were analyzed by chi-square test and multivariate Logistic regression model. RESULTS: The factors, such as gender (OR = 5.893), first trimester disease of mother (OR = 34.49) and medication (OR = 4.299), excessive drinking and smoking of father (OR = 4. 347, OR = 4.304), non-primiparous parity (OR = 9.524), abortion (spontaneous and induced, OR = 1.723), low-education of mother (OR = 2.275) were risk factors contributing to microtia in multivariate study. The factors, such as tea (OR = 0.179) were protective factors in multivariate study. CONCLUSIONS: Multi-risks factors are contributing to microtia. Preventive measures according to risk factors should be put forward.
Authors: Marilyn L Browne; Adrienne T Hoyt; Marcia L Feldkamp; Sonja A Rasmussen; Elizabeth G Marshall; Charlotte M Druschel; Paul A Romitti Journal: Birth Defects Res A Clin Mol Teratol Date: 2011-01-19
Authors: Jane C Figueiredo; Stephanie Ly; Kathleen S Magee; Ugonna Ihenacho; James W Baurley; Pedro A Sanchez-Lara; Frederick Brindopke; Thi-Hai-Duc Nguyen; Viet Nguyen; Maria Irene Tangco; Melissa Giron; Tamlin Abrahams; Grace Jang; Annie Vu; Emily Zolfaghari; Caroline A Yao; Athena Foong; Yves A DeClerk; Jonathan M Samet; William Magee Journal: Birth Defects Res A Clin Mol Teratol Date: 2015-08-25
Authors: Stephanie Ly; Madeleine L Burg; Ugonna Ihenacho; Frederick Brindopke; Allyn Auslander; Kathleen S Magee; Pedro A Sanchez-Lara; Thi-Hai-Duc Nguyen; Viet Nguyen; Maria Irene Tangco; Angela Rose Hernandez; Melissa Giron; Fouzia J Mahmoudi; Yves A DeClerck; William P Magee; Jane C Figueiredo Journal: Int J Environ Res Public Health Date: 2017-06-19 Impact factor: 3.390