Disparities and relative risk ratio of preterm birth in six Central and Eastern European centers

被引:12
作者
Arora, Chander P. [1 ]
Kacerovsky, Marian [2 ,3 ,4 ]
Zinner, Balazs [5 ]
Ertl, Tibor [6 ]
Ceausu, Iuliana [7 ]
Rusnak, Igor [8 ]
Shurpyak, Serhiy [9 ]
Sandhu, Meenu [1 ]
Hobel, Calvin J. [1 ]
Dumesic, Daniel A. [10 ]
Vari, Sandor G. [1 ]
机构
[1] Univ Calif Los Angeles, Cedars Sinai Med Ctr, Int Res & Innovat Management Program, Los Angeles, CA 90048 USA
[2] Charles Univ Prague, Dept Obstet & Gynecol, Prague, Czech Republic
[3] Fac Med, Hradec Kralove, Czech Republic
[4] Univ Hosp, Hradec Kralove, Czech Republic
[5] Semmelweis Univ, Dept Obstet & Gynecol, H-1085 Budapest, Hungary
[6] Univ Pecs, Sch Med, Dept Obstet & Gynecol, Pecs, Hungary
[7] Carol Davila Univ Med & Pharm, Dept Obstet & Gynecol, Bucharest, Romania
[8] Slovak Med Univ Hosp, Dept Obstet & Gynecol, Bratislava, Slovakia
[9] Danylo Halytskyy Lviv Natl Med Univ, Dept Obstet & Gynecol & Perinatol, Lvov, Ukraine
[10] Univ Calif Los Angeles, David Geffen Sch Med, Dept Obstet & Gynecol, Los Angeles, CA 90095 USA
关键词
MIDDLE-INCOME COUNTRIES; PERINATAL-MORTALITY; EPIDEMIOLOGY; PREVENTION; PREGNANCY; SMOKING; IMPACT; WOMEN;
D O I
10.3325/cmj.2015.56.119
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aim To identify characteristic risk factors of preterm birth in Central and Eastern Europe and explore the differences from other developed countries. Method Data on 33 794 term and 3867 preterm births (<37 wks.) were extracted in a retrospective study between January 1, 2007 and December 31, 2009. The study took place in 6 centers in 5 countries: Czech Republic, Hungary (two centers), Romania, Slovakia, and Ukraine. Data on historical risk factors, pregnancy complications, and special testing were gathered. Preterm birth frequencies and relevant risk factors were analyzed using Statistical Analysis System (SAS) software. Results All the factors selected for study (history of smoking, diabetes, chronic hypertension, current diabetes, preeclampsia, progesterone use, current smoking, body mass index, iron use and anemia during pregnancy), except the history of diabetes were predictive of preterm birth across all participating European centers. Preterm birth was at least 2.4 times more likely with smoking (history or current), three times more likely with preeclampsia, 2.9 times more likely with hypertension after adjusting for other covariates. It had inverse relationship with the significant predictor body mass index, with adjusted risk ratio of 0.8 to 1.0 in three sites. Iron use and anemia, though significant predictors of preterm birth, indicated mixed patterns for relative risk ratio. Conclusion Smoking, preeclampsia, hypertension and body mass index seem to be the foremost risk factors of preterm birth. Implications of these factors could be beneficial for design and implementation of interventions and improve the birth outcome.
引用
收藏
页码:119 / 127
页数:9
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