Abstract
Objectives
Smoking in pregnancy is associated with an increased risk of preterm birth (PTB), intrauterine growth restriction, placental abruption and perinatal death. The association between smoking and other delivery outcomes, such as chorioamnionitis, mode of delivery or postpartum hemorrhage (PPH), however, is insufficient as only few studies addressed these issues. The aim of the study was to evaluate the association between prenatal smoking and delivery outcomes in a large database, while controlling for confounding effects.
Methods
A retrospective population-based study using data from the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample (HCUP‐NIS). A dataset of all deliveries between 2004 and 2014 (inclusively) was created. Our control group included all pregnant women who did not smoke during pregnancy, which was compared to pregnant women who smoked. A multivariate logistic analysis was conducted, adjusting for any statistically significant confounding effects.
Results
Our study identified 9,096,788 births between 2004 and 2014. Of which, 443,590 (4.8%) had a documented diagnosis of smoking. A significantly higher risk was found for PTB (odds ratio 1.39, CI 1.35–1.43), preterm premature rupture of membranes (odds ratio 1.52, CI 1.43–1.62) and small for gestational age (SGA) neonates (odds ratio 2.27, CI 2.19–2.35). The risks of preeclampsia (odds ratio 0.82, CI 0.78–0.85), chorioamnionitis (odds ratio 0.88, CI 0.83–0.4), PPH (odds ratio 0.94 CI 0.9–0.98) and operative vaginal delivery (odds ratio 0.9, CI 0.87–0.94) were lower among smokers.
Conclusions
This large database confirms the findings of previous smaller studies, according to which smoking decreases the risk of preeclampsia while increasing the risk of PTB and SGA neonates. The current study also revealed a decreased risk for PPH as well as for chorioamnionitis among pregnant smokers.
-
Research funding: None declared.
-
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
-
Competing interests: Authors state no conflict of interest.
-
Informed consent: NA.
-
Ethical approval: NA (According to the Tri-Council Policy Statement (2018), Institutional Review Board approval was not required as exclusively publicly available anonymized data was used for this study).
References
1. Department of Health U, Services H. The health consequences of smoking – 50 Years of progress: a report of the surgeon general. Available at: https://www.ncbi.nlm.nih.gov/books/NBK179276/pdf/Bookshelf_NBK179276.pdf [Accessed 25 Aug 2020].Search in Google Scholar
2. WHO global report on trends in prevalence of tobacco use 2000–2025, third edition. Available at: https://www.who.int/publications/i/item/who-global-report-on-trends-in-prevalence-of-tobacco-use-2000-2025-third-edition [Accessed 25 Aug 2020].Search in Google Scholar
3. Conde-Agudelo, A, Althabe, F, Belizán, JM, Kafury-Goeta, AC. Cigarette smoking during pregnancy and risk of preeclampsia: a systematic review. Am J Obstet Gynecol 1999;181:1026–35. Mosby Inc. https://doi.org/10.1016/S0002-9378(99)70341-8.Search in Google Scholar
4. Mehendale, R, Hibbard, J, Fazleabas, A, Leach, R. Placental angiogenesis markers sFlt-1 and PlGF: response to cigarette smoke. Am J Obstet Gynecol 2007;197:363.e1–363.e5. https://doi.org/10.1016/j.ajog.2007.06.025.Search in Google Scholar
5. Jeyabalan, A, Powers, RW, Durica, AR, Harger, GF, Roberts, JM, Ness, RB. Cigarette smoke exposure and angiogenic factors in pregnancy and preeclampsia. Am J Hypertens 2008;21:943–7. https://doi.org/10.1038/ajh.2008.219.Search in Google Scholar
6. Mimura, K, Tomimatsu, T, Sharentuya, N, Tskitishvili, E, Kinugasa-Taniguchi, Y, Kanagawa, T, et al.. Nicotine restores endothelial dysfunction caused by excess sFlt1 and sEng in an in vitro model of preeclamptic vascular endothelium: a possible therapeutic role of nicotinic acetylcholine receptor (nAChR) agonists for preeclampsia. Am J Obstet Gynecol 2010;202:464. https://doi.org/10.1016/j.ajog.2010.01.037.Search in Google Scholar
7. Lurie, S, Ribenzaft, S, Boaz, M, Golan, A, Sadan, O. The effect of cigarette smoking during pregnancy on mode of delivery in uncomplicated term singleton pregnancies. J Matern Fetal Neonatal Med 2014;27:812–5. https://doi.org/10.3109/14767058.2013.842551.Search in Google Scholar
8. Salahuddin, M, Mandell, DJ, Lakey, DL, Eppes, CS, Patel, DA. Maternal risk factor index and cesarean delivery among women with nulliparous, term, singleton, vertex deliveries, Texas, 2015. Birth 2019;46:182–92. https://doi.org/10.1111/birt.12392.Search in Google Scholar
9. Turcot, L, Marcoux, S, Fraser, WD, Armson, BA, Phalen-Kelly, K, Verrault, JP, et al.. Multivariate analysis of risk factors for operative delivery in nulliparous women. Am J Obstet Gynecol 1997;176:395–402. https://doi.org/10.1016/S0002-9378(97)70505-2.Search in Google Scholar
10. Wu, Y, Kataria, Y, Wang, Z, Ming, WK, Ellervik, C. Factors associated with successful vaginal birth after a cesarean section: a systematic review and meta-analysis. BMC Pregnancy Childbirth 2019;19. https://doi.org/10.1186/s12884-019-2517-y.Search in Google Scholar PubMed PubMed Central
11. Fullerton, G, Danielian, P, Bhattacharya, S. Outcomes of pregnancy following postpartum haemorrhage. BJOG 2013;120:621–7. https://doi.org/10.1111/1471-0528.12120.Search in Google Scholar PubMed
12. Marchant, S, Alexander, J, Thomas, P, Garcia, J, Brocklehurst, P, Keene, J. Risk factors for hospital admission related to excessive and/or prolonged postpartum vaginal blood loss after the first 24 h following childbirth. Paediatr Perinat Epidemiol 2006;20:392–402. https://doi.org/10.1111/j.1365-3016.2006.00743.x.Search in Google Scholar PubMed
13. Kramer, MS, Dahhou, M, Vallerand, D, Liston, R, Joseph, KS. Risk factors for postpartum hemorrhage: can we explain the recent temporal increase? J Obstet Gynaecol Can 2011;33:810–19. https://doi.org/10.1016/S1701-2163(16)34984-2.Search in Google Scholar
14. Fukami, T, Koga, H, Goto, M, Ando, M, Matsuoka, S, Tohyama, A, et al.. Incidence and risk factors for postpartum hemorrhage among transvaginal deliveries at a tertiary perinatal medical facility in Japan. PloS One 2019;14:e0208873. https://doi.org/10.1371/journal.pone.0208873.Search in Google Scholar PubMed PubMed Central
15. Blomberg, M. Maternal obesity and risk of postpartum hemorrhage. Obstet Gynecol 2011;118:561–8. https://doi.org/10.1097/AOG.0b013e31822a6c59.Search in Google Scholar PubMed
16. Olatunbosun, OA, Joseph, KS, Joseph, KS. Atonic postpartum hemorrhage: blood loss, risk factors, and third stage management. J Obstet Gynaecol Can 2016;38:1081–90. https://doi.org/10.1016/j.jogc.2016.06.014.Search in Google Scholar PubMed
17. Briley, A, Seed, PT, Tydeman, G, Ballard, H, Waterstone, M, Sandall, J, et al.. Reporting errors, incidence and risk factors for postpartum haemorrhage and progression to severe PPH: a prospective observational study. BJOG 2014;121:876–88. https://doi.org/10.1111/1471-0528.12588.Search in Google Scholar PubMed PubMed Central
18. Hayashi, K, Matsuda, Y, Kawamichi, Y, Shiozaki, A, Saito, S. Smoking during pregnancy increases risks of various obstetric complications: a case-cohort study of the Japan perinatal registry network database. J Epidemiol 2011;21:61–6. https://doi.org/10.2188/jea.JE20100092.Search in Google Scholar
19. Cohen-Cline, HN, Kahn, TR, Hutter, CM. A population-based study of the risk of repeat clinical chorioamnionitis in Washington State, 1989-2008. Am J Obstet Gynecol 2012;207:473. https://doi.org/10.1016/j.ajog.2012.08.025.Search in Google Scholar PubMed PubMed Central
20. Zaki, D, Balayla, J, Beltempo, M, Gazil, G, Nuyt, AM, Boucoiran, I. Interaction of chorioamnionitis at term with maternal, fetal and obstetrical factors as predictors of neonatal mortality: a population-based cohort study. BMC Pregnancy Childbirth 2020;20:454. https://doi.org/10.1186/s12884-020-03142-0.Search in Google Scholar PubMed PubMed Central
21. al Kazzi, ES, Lau, B, Li, T, Schneider, EB, Makary, MA, Hutfless, S. Differences in the prevalence of obesity, smoking and alcohol in the United States nationwide inpatient sample and the behavioral risk factor surveillance system. PloS One 2015;10:e0140165. https://doi.org/10.1371/journal.pone.0140165.Search in Google Scholar PubMed PubMed Central
22. Yasmeen, S, Romano, PS, Schembri, ME, Keyzer, JM, Gilbert, WM. Accuracy of obstetric diagnoses and procedures in hospital discharge data. Am J Obstet Gynecol 2006;194:992–1001. https://doi.org/10.1016/j.ajog.2005.08.058.Search in Google Scholar PubMed
© 2021 Walter de Gruyter GmbH, Berlin/Boston