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      Use of smoking cessation pharmacotherapies during pregnancy is not associated with increased risk of adverse pregnancy outcomes: a population-based cohort study

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          Abstract

          Background

          Varenicline, bupropion and nicotine replacement therapy (NRT) are three effective pharmacotherapies for smoking cessation, but data about their safety in pregnancy are limited. We assessed the risk of adverse perinatal outcomes and major congenital anomalies associated with the use of these therapies in pregnancy in Australia.

          Methods

          Perinatal data for 1,017,731 deliveries (2004 to 2012) in New South Wales and Western Australia were linked to pharmaceutical dispensing, hospital admission and death records. We identified 97,875 women who smoked during pregnancy; of those, 233, 330 and 1057 were exposed to bupropion, NRT and varenicline in pregnancy, respectively. Propensity scores were used to match exposed women to those who were unexposed to any smoking therapy (1:10 ratio). Propensity scores and gestational age at exposure were used to match varenicline-exposed to NRT-exposed women (1:1 ratio). Time-dependent Cox proportional hazards models estimated hazard ratios (HR) with 95% confidence intervals (95% CI) for any adverse perinatal event (a composite of 10 unfavourable maternal and neonatal outcomes) and any major congenital anomaly.

          Results

          The risk of any adverse perinatal event was not significantly different between bupropion-exposed and unexposed women (39.2% versus 39.3%, HR 0.93, 95% CI 0.73–1.19) and between NRT-exposed and unexposed women (44.8% vs 46.3%, HR 1.02, 95% CI 0.84–1.23), but it was significantly lower in women exposed to varenicline (36.9% vs 40.1%, HR 0.86, 95% CI 0.77–0.97). Varenicline-exposed infants were less likely than unexposed infants to be born premature (6.5% vs 8.9%, HR 0.72, 95% CI 0.56–0.92), be small for gestational age (11.4% vs 15.4%, HR 0.68, 95% CI 0.56–0.83) and have severe neonatal complications (6.6% vs 8.2%, HR 0.74, 95% CI 0.57–0.96). Among infants exposed to varenicline in the first trimester, 2.9% had a major congenital anomaly (3.5% in unexposed infants, HR 0.91, 95% CI 0.72–1.15). Varenicline-exposed women were less likely than NRT-exposed women to have an adverse perinatal event (38.7% vs 51.4%, HR 0.58, 95% CI 0.33–1.05).

          Conclusions

          Pregnancy exposure to smoking cessation pharmacotherapies does not appear to be associated with an increased risk of adverse birth outcomes. Lower risk of adverse birth outcomes in varenicline-exposed pregnancies is inconsistent with recommendations that NRT be used in preference to varenicline.

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          Most cited references31

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          Update on overall prevalence of major birth defects--Atlanta, Georgia, 1978-2005.

          (2008)
          Major structural or genetic birth defects affect approximately 3% of births in the United States, are a major contributor to infant mortality, and result in billions of dollars in costs for care. Although the causes of most major birth defects are unknown, concerns have been raised that certain factors, such as an increase in the prevalence of diabetes among women, might result in increased prevalence of birth defects over time. This report updates previously published data from the Metropolitan Atlanta Congenital Defects Program (MACDP), the oldest population-based birth defects surveillance system in the United States with active case ascertainment. For the period 1978-2005, CDC assessed the overall prevalence of major birth defects and their frequency relative to selected maternal and infant characteristics. The MACDP results indicated that the prevalence of major birth defects in metropolitan Atlanta, Georgia, remained stable during 1978-2005 but varied by maternal age and race/ethnicity, birthweight, and gestational age. Tracking the overall prevalence of major birth defects can identify subgroups that are affected disproportionately; additional measures focused on these subgroups might improve preconception care and care during pregnancy to prevent birth defects.
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            Double-adjustment in propensity score matching analysis: choosing a threshold for considering residual imbalance

            Background Double-adjustment can be used to remove confounding if imbalance exists after propensity score (PS) matching. However, it is not always possible to include all covariates in adjustment. We aimed to find the optimal imbalance threshold for entering covariates into regression. Methods We conducted a series of Monte Carlo simulations on virtual populations of 5,000 subjects. We performed PS 1:1 nearest-neighbor matching on each sample. We calculated standardized mean differences across groups to detect any remaining imbalance in the matched samples. We examined 25 thresholds (from 0.01 to 0.25, stepwise 0.01) for considering residual imbalance. The treatment effect was estimated using logistic regression that contained only those covariates considered to be unbalanced by these thresholds. Results We showed that regression adjustment could dramatically remove residual confounding bias when it included all of the covariates with a standardized difference greater than 0.10. The additional benefit was negligible when we also adjusted for covariates with less imbalance. We found that the mean squared error of the estimates was minimized under the same conditions. Conclusion If covariate balance is not achieved, we recommend reiterating PS modeling until standardized differences below 0.10 are achieved on most covariates. In case of remaining imbalance, a double adjustment might be worth considering. Electronic supplementary material The online version of this article (doi:10.1186/s12874-017-0338-0) contains supplementary material, which is available to authorized users.
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              Developmental consequences of fetal exposure to drugs: what we know and what we still must learn.

              Most drugs of abuse easily cross the placenta and can affect fetal brain development. In utero exposures to drugs thus can have long-lasting implications for brain structure and function. These effects on the developing nervous system, before homeostatic regulatory mechanisms are properly calibrated, often differ from their effects on mature systems. In this review, we describe current knowledge on how alcohol, nicotine, cocaine, amphetamine, Ecstasy, and opiates (among other drugs) produce alterations in neurodevelopmental trajectory. We focus both on animal models and available clinical and imaging data from cross-sectional and longitudinal human studies. Early studies of fetal exposures focused on classic teratological methods that are insufficient for revealing more subtle effects that are nevertheless very behaviorally relevant. Modern mechanistic approaches have informed us greatly as to how to potentially ameliorate the induced deficits in brain formation and function, but conclude that better delineation of sensitive periods, dose-response relationships, and long-term longitudinal studies assessing future risk of offspring to exhibit learning disabilities, mental health disorders, and limited neural adaptations are crucial to limit the societal impact of these exposures.
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                Author and article information

                Contributors
                Danielle.Tran@unsw.edu.au
                David.Preen@uwa.edu.au
                Ke@hi.is
                Anna.Kemp-Casey@unisa.edu.au
                Deborah.Randall@sydney.edu.au
                L.Jorm@unsw.edu.au
                Stephanie.Choi@unsw.edu.au
                Alys.Havard@unsw.edu.au
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                5 February 2020
                5 February 2020
                2020
                : 18
                : 15
                Affiliations
                [1 ]ISNI 0000 0004 4902 0432, GRID grid.1005.4, Centre for Big Data Research in Health, Faculty of Medicine, , University of New South Wales (UNSW), ; Sydney, NSW 2052 Australia
                [2 ]ISNI 0000 0004 1936 7910, GRID grid.1012.2, School of Population and Global Health, , University of Western Australia, ; Perth, Australia
                [3 ]ISNI 0000 0004 0640 0021, GRID grid.14013.37, Centre of Public Health Sciences, Faculty of Medicine, , University of Iceland, ; Reykjavik, Iceland
                [4 ]ISNI 0000 0000 8994 5086, GRID grid.1026.5, Quality Use of Medicines and Pharmacy Research Centre, , University of South Australia, ; Adelaide, Australia
                [5 ]ISNI 0000 0004 1936 834X, GRID grid.1013.3, The University of Sydney Northern Clinical School, Women and Babies Research, ; St Leonards, NSW Australia
                Author information
                http://orcid.org/0000-0002-1454-9462
                Article
                1472
                10.1186/s12916-019-1472-9
                7001233
                32019533
                cc257db1-b553-421e-90ae-3a5fc5eb2b8c
                © The Author(s). 2020

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 12 July 2019
                : 26 November 2019
                Funding
                Funded by: Australian National Health and Medical Research Council
                Award ID: 1028543
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001030, National Heart Foundation of Australia;
                Award ID: 100411
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Medicine
                adverse outcomes,australia,birth defects,bupropion,nicotine replacement therapy,pregnancy,smoking cessation pharmacotherapy,smoking in pregnancy,varenicline

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