BACKGROUND: Using a 3-year nationwide population-based database, this study examines the risk of adverse pregnancy outcomes [lower birthweight, preterm gestation and babies small for gestational age (SGA)] in pregnant women with uterine leiomyoma. METHODS: This study linked two data sets: Taiwan's birth certificate registry and its National Health Insurance Research Data set. A total of 5627 mothers with uterine leiomyoma and 28 135 unaffected mothers were included for analysis. After adjusting for mother and infant characteristics and monthly family income, log-binominal regression and multivariate regression analyses were conducted to examine the risks of preterm birth, SGA and lower birthweight among mothers with uterine leiomyoma and unaffected mothers. RESULTS: Women with uterine leiomyoma had a significantly higher percentage of preterm births (10.98 versus 7.78%, P < 0.001) and SGA infants (19.00 versus 17.28%, P = 0.002) than unaffected mothers. The mean birthweights for mothers with and without uterine leiomyoma were 3083 and 3172 g, respectively (P < 0.001). Log-binominal regression models show that the adjusted risk ratios of preterm births and SGA infants for mothers with uterine leiomyoma were 1.32 (95% CI 1.19-1.46) and 1.16 (95% CI 1.08-1.26), respectively, compared with unaffected mothers. After finally adjusting for gestational age and other covariates, a multivariate regression analysis revealed that women with uterine leiomyoma had, on average, a 14.7 g lower birthweight than unaffected mothers (P = 0.022). CONCLUSIONS: We concluded that after adjusting for potential confounders, women with uterine leiomyoma experience a small yet significant increased risk of preterm and SGA infants. We suggest that clinicians intensively monitor women with uterine leiomyoma during pregnancy.
BACKGROUND: Using a 3-year nationwide population-based database, this study examines the risk of adverse pregnancy outcomes [lower birthweight, preterm gestation and babies small for gestational age (SGA)] in pregnant women with uterine leiomyoma. METHODS: This study linked two data sets: Taiwan's birth certificate registry and its National Health Insurance Research Data set. A total of 5627 mothers with uterine leiomyoma and 28 135 unaffected mothers were included for analysis. After adjusting for mother and infant characteristics and monthly family income, log-binominal regression and multivariate regression analyses were conducted to examine the risks of preterm birth, SGA and lower birthweight among mothers with uterine leiomyoma and unaffected mothers. RESULTS:Women with uterine leiomyoma had a significantly higher percentage of preterm births (10.98 versus 7.78%, P < 0.001) and SGA infants (19.00 versus 17.28%, P = 0.002) than unaffected mothers. The mean birthweights for mothers with and without uterine leiomyoma were 3083 and 3172 g, respectively (P < 0.001). Log-binominal regression models show that the adjusted risk ratios of preterm births and SGA infants for mothers with uterine leiomyoma were 1.32 (95% CI 1.19-1.46) and 1.16 (95% CI 1.08-1.26), respectively, compared with unaffected mothers. After finally adjusting for gestational age and other covariates, a multivariate regression analysis revealed that women with uterine leiomyoma had, on average, a 14.7 g lower birthweight than unaffected mothers (P = 0.022). CONCLUSIONS: We concluded that after adjusting for potential confounders, women with uterine leiomyoma experience a small yet significant increased risk of preterm and SGA infants. We suggest that clinicians intensively monitor women with uterine leiomyoma during pregnancy.
Authors: Katherine E Hartmann; Digna R Velez Edwards; David A Savitz; Michele L Jonsson-Funk; Pingsheng Wu; Alexandra C Sundermann; Donna D Baird Journal: Am J Epidemiol Date: 2017-11-15 Impact factor: 4.897
Authors: Sifang Kathy Zhao; Pingsheng Wu; Sarah H Jones; Eric S Torstenson; Katherine E Hartmann; Digna R Velez Edwards Journal: Ann Epidemiol Date: 2020-07-01 Impact factor: 3.797
Authors: Tsuyoshi Murata; Hyo Kyozuka; Yuta Endo; Toma Fukuda; Shun Yasuda; Akiko Yamaguchi; Akiko Sato; Yuka Ogata; Kosei Shinoki; Mitsuaki Hosoya; Seiji Yasumura; Koichi Hashimoto; Hidekazu Nishigori; Keiya Fujimori; The Japan Environment Children's Study Jecs Group Journal: Int J Environ Res Public Health Date: 2021-02-24 Impact factor: 3.390