OBJECTIVE: The purpose of this study was to test the hypothesis that race is associated with the risk of preterm birth due to preterm premature rupture of membranes (PPROM) and its recurrence. STUDY DESIGN: We conducted a population-based cohort study using the Missouri Department of Health's maternally linked birth certificate database (1989-1997) to assess racial effects on the occurrence and recurrence of PPROM, while adjusting for socioeconomic and maternal medical risk factors (n = 644,462). RESULTS: Black mothers were more likely to have PPROM compared to white mothers (aOR, 2.3; 95% CI, 2.0-2.5). The magnitude of risk of PPROM for black mothers compared to white mothers was greatest at < 28 weeks of gestation (aOR 2.8, 95% CI, 2.5-3.2). Black mothers were at significantly higher risk of recurrent PPROM compared to white mothers (aOR 6.4, 95% CI, 3.7-11.0). CONCLUSION: There is an overrepresentation in the occurrence and recurrence of PPROM in black mothers that persists after adjusting for known risk factors.
OBJECTIVE: The purpose of this study was to test the hypothesis that race is associated with the risk of preterm birth due to preterm premature rupture of membranes (PPROM) and its recurrence. STUDY DESIGN: We conducted a population-based cohort study using the Missouri Department of Health's maternally linked birth certificate database (1989-1997) to assess racial effects on the occurrence and recurrence of PPROM, while adjusting for socioeconomic and maternal medical risk factors (n = 644,462). RESULTS: Black mothers were more likely to have PPROM compared to white mothers (aOR, 2.3; 95% CI, 2.0-2.5). The magnitude of risk of PPROM for black mothers compared to white mothers was greatest at < 28 weeks of gestation (aOR 2.8, 95% CI, 2.5-3.2). Black mothers were at significantly higher risk of recurrent PPROM compared to white mothers (aOR 6.4, 95% CI, 3.7-11.0). CONCLUSION: There is an overrepresentation in the occurrence and recurrence of PPROM in black mothers that persists after adjusting for known risk factors.
Authors: Roberto Romero; Lara A Friel; Digna R Velez Edwards; Juan Pedro Kusanovic; Sonia S Hassan; Shali Mazaki-Tovi; Edi Vaisbuch; Chong Jai Kim; Offer Erez; Tinnakorn Chaiworapongsa; Brad D Pearce; Jacquelaine Bartlett; Benjamin A Salisbury; Madan Kumar Anant; Gerald F Vovis; Min Seob Lee; Ricardo Gomez; Ernesto Behnke; Enrique Oyarzun; Gerard Tromp; Scott M Williams; Ramkumar Menon Journal: Am J Obstet Gynecol Date: 2010-07-31 Impact factor: 8.661
Authors: L L Jelliffe-Pawlowski; R J Baer; Y J Blumenfeld; K K Ryckman; H M O'Brodovich; J B Gould; M L Druzin; Y Y El-Sayed; D J Lyell; D K Stevenson; G M Shaw; R J Currier Journal: BJOG Date: 2015-06-26 Impact factor: 6.531
Authors: Scott W Walsh; William H Nugent; S M Khorshed Alam; Sonya L Washington; Maria Teves; Kimberly K Jefferson; Jerome F Strauss Journal: Reprod Sci Date: 2020-01-01 Impact factor: 3.060
Authors: Bhavi P Modi; Maria E Teves; Laurel N Pearson; Hardik I Parikh; Hannah Haymond-Thornburg; John L Tucker; Piya Chaemsaithong; Nardhy Gomez-Lopez; Timothy P York; Roberto Romero; Jerome F Strauss Journal: Mol Genet Genomic Med Date: 2017-08-23 Impact factor: 2.183