First and second pregnancy outcomes in women with class III obesity: An observational cohort study.

INTRODUCTION: Class III obesity (BMI ≥ 40 kg/m2) during pregnancy predisposes mother and offspring to a range of adverse pregnancy complications and outcomes. Risk profiles vary between pregnancies and are affected by interpregnancy weight gain. We evaluated the risk of adverse outcomes in women with BMI ≥ 40 kg/m2 in first and second pregnancies, and the impact of interpregnancy weight change on this risk. MATERIALS AND METHODS: Data were extracted for all women with BMI ≥ 40 kg/m2 at first antenatal visit, who completed antenatal and delivery care for first and second pregnancies in NHS Lothian between 1/1/2009-31/12/2018. Multiple pregnancies and recipients of bariatric surgery were excluded. RESULTS: 442 pregnancies among 221 women were included. In first pregnancy, median (interquartile range) weight was 117 kg (108.5-126.7), age 28 years (24-31) and BMI 42 kg/m2 (41.0-44.5), 14.4% had gestational diabetes (GDM), 11.3% had pregnancy-induced hypertension and 44.6% had a post-partum haemorrhage (PPH). 20.8% of babies were large for gestational age (LGA, ≥97% centile at birth). In second pregnancy, women were heavier with a median weight of 119.9 kg (109.0-130.0, p = 0.00) with 19.9% gaining over 10 kg. Women were more likely to develop GDM (21.6%, p = 0.02). Babies were heavier with 40% of babies LGA (p < 0.0001). Interpregnancy weight change had no significant impact on GDM, pregnancy induced hypertension, PPH, perinatal mortality or LGA. CONCLUSIONS: In a population of women with BMI ≥ 40 kg/m2, pregnancy complications are common and risk is higher in second pregnancy. The interpregnancy period is a critical time to engage women in health improvement and weight loss strategies to maximise outcomes for mother and offspring.

Risk factors for respiratory syncytial virus associated with acute lower respiratory infection in children under five years: Systematic review and meta-analysis.

BACKGROUND: Respiratory syncytial virus (RSV) is the most common pathogen identified in young children with acute lower respiratory infection (ALRI) as well as an important cause of hospital admission. The high incidence of RSV infection and its potential severe outcome make it important to identify and prioritise children who are at higher risk of developing RSV-associated ALRI. We aimed to identify risk factors for RSV-associated ALRI in young children. METHODS: We carried out a systematic literature review across 4 databases and obtained unpublished studies from RSV Global Epidemiology Network (RSV GEN) collaborators. Quality of all eligible studies was assessed according to modified GRADE criteria. We conducted meta-analyses to estimate odds ratios with 95% confidence intervals (CI) for individual risk factors. RESULTS: We identified 20 studies (3 were unpublished data) with "good quality" that investigated 18 risk factors for RSV-associated ALRI in children younger than five years old. Among them, 8 risk factors were significantly associated with RSV-associated ALRI. The meta-estimates of their odds ratio (ORs) with corresponding 95% confidence intervals (CI) are prematurity 1.96 (95% CI 1.44-2.67), low birth weight 1.91 (95% CI 1.45-2.53), being male 1.23 (95% CI 1.13-1.33), having siblings 1.60 (95% CI 1.32-1.95), maternal smoking 1.36 (95% CI 1.24-1.50), history of atopy 1.47 (95% CI 1.16-1.87), no breastfeeding 2.24 (95% CI 1.56-3.20) and crowding 1.94 (95% CI 1.29-2.93). Although there were insufficient studies available to generate a meta-estimate for HIV, all articles (irrespective of quality scores) reported significant associations between HIV and RSV-associated ALRI. CONCLUSIONS: This study presents a comprehensive report of the strength of association between various socio-demographic risk factors and RSV-associated ALRI in young children. Some of these amenable risk factors are similar to those that have been identified for (all cause) ALRI and thus, in addition to the future impact of novel RSV vaccines, national action against ALRI risk factors as part of national control programmes can be expected to reduce burden of disease from RSV. Further research which identifies, accesses and analyses additional unpublished RSV data sets could further improve the precision of these estimates.