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  1. McStea M, McGeechan K, Kamaruzzaman SB, Rajasuriar R, Tan MP
    Postgrad Med, 2016 Nov;128(8):797-804.
    PMID: 27558757 DOI: 10.1080/00325481.2016.1229103
    Metabolic Syndrome (METs) definitions vary and diagnosis takes into account consumption of medications commonly prescribed for conditions defining METs. This paper evaluates the potential differences in population characteristics using two different methods of defining METs, with and without the adjustment of the effects of pharmacotherapy on biochemical and blood pressure (BP) measurements Methods: This was a cross-sectional study utilizing the Malaysian Elders Longitudinal Research (MELoR) cohort comprising urban community-dwellers aged ≥55 years. Participants were interviewed using a structured questionnaire during home visits where medications were reviewed. Health impacts assessed included heart disease, stroke, body mass index (BMI), peptic ulcers, arthritis, and number of medications and comorbidities. Risk factors and health impacts associated with METs were determined by Poisson multivariate regression models using a binary and count dependent variables.
  2. de Vries B, Narayan R, McGeechan K, Santiagu S, Vairavan R, Burke M, et al.
    Acta Obstet Gynecol Scand, 2018 Jun;97(6):668-676.
    PMID: 29450884 DOI: 10.1111/aogs.13310
    INTRODUCTION: Cesarean section rates continue to increase globally. Prediction of intrapartum cesarean section could lead to preventive measures. Our aim was to assess the association between sonographically measured cervical length at 37 weeks of gestation and cesarean section among women planning a vaginal birth. The population was women with a low-risk pregnancy or with gestational diabetes.

    MATERIAL AND METHODS: This was a prospective cohort study conducted in a tertiary referral hospital in Sydney, Australia. In all, 212 women with a low-risk pregnancy or with gestational diabetes were recruited including 158 nulliparous and 54 parous women. Maternal demographic, clinical and ultrasound characteristics were collected at 37 weeks of gestation. Semi-Bayesian logistic regression and Markov chain Monte Carlo simulation were used to assess the relation between cervical length and cesarean section in labor.

    RESULTS: Rates of cesarean section were 5% (2/55) for cervical length ≤20 mm, 17% (17/101) for cervical length 20-32 mm, and 27% (13/56) for cervical length >32 mm. These rates were 4, 22 and 33%, respectively, in nulliparous women. In the semi-Bayesian analysis, the odds ratio for cesarean section was 6.2 (95% confidence interval 2.2-43) for cervical length 20-32 mm and 10 (95% confidence interval 4.8-74) for cervical length >32 mm compared with the lowest quartile of cervical length, after adjusting for maternal age, parity, height, prepregnancy body mass index, gestational diabetes, induction of labor, neonatal sex and birthweight centile.

    CONCLUSIONS: Cervical length at 37 weeks of gestation is associated with intrapartum cesarean section.

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