Objective To evaluate the relationships of pre‐pregnancy body mass index (BMI) and gestational weight gain (GWG) trajectory with adverse perinatal outcomes (APOs). Methods A retrospective cohort study was conducted in China, and 12 855 women who had a singleton birth were included. The WHO classification categorized pre‐pregnancy BMI, and five GWG trajectories were identified using the latent class growth model. Results The adjusted odds ratios for the risks of cesarean delivery, preterm birth, and large‐for‐gestational‐age (LGA) infant were significantly higher in women with whoe were overweight or obese pre‐pregnancy, but were lower in underweight (except preterm birth) than in normal weight women. Five GWG trajectories were identified: (1) retaining GWG (6.6 kg), (2) moderately slow GWG (10.5 kg), (3) moderate GWG (13.7 kg), (4) moderately fast GWG (16.3 kg), and (5) rapid GWG (19.8 kg). Compared with women in trajectory 3, the risks of cesarean delivery and LGA increase by about 35%–96% for the women in trajectory 4 or 5, whereas the women in trajectory 1 or 2 are inclined to have a higher risk of small for gestational age, but lower risk of LGA. Association of GWG trajectory with APOs varies across pre‐pregnancy BMI subgroups. Conclusion This study highlights the influence of inappropriate pre‐pregnancy maternal weight and GWG trajectories on the risk of APOs.

Background Risk factors that predispose the development of severe community-acquired pneumonia (CAP) among pediatric CAP patients of different age ranges are yet to be identified. Methods We retrospectively analyzed pediatric in-patients (< 6 years old) diagnosed with CAP in our hospital. We subdivided patients into four age groups (< 6 months, 6 months-1 year, 1–2 years, and 2–6 years). Their medical records, including demographic information, clinical features, laboratory findings, and chest radiographic reports, were reviewed and collected for further analysis. Univariate logistic regression analysis and stepwise regression analysis were applied to identify risk factors associated with severe CAP and ICU admission for overall patients and age-stratified subgroups. Results A total of 20,174 cases were initially included. Among them, 3309 (16.40%) cases were identified as severe CAP, and 2824 (14.00%) cases required ICU admission. Potential risk factors for severe CAP and ICU admission identified by univariate analysis included younger age, rural residency, premature birth, low birth weight (LBW), formula feeding, congenital heart disease (CHD), history of pneumonia or neonatal jaundice, patients with other health issues, certain symptoms (manifesting wheezing, dyspnea, cyanosis, but have no cough or fever), abnormal laboratory findings (abnormal levels of white blood cells, albumin, and C-reactive protein and RSV infection), and chest X-ray (odds ratio [OR] > 1 for all). CHD, low albumin, proteinuria, abnormal chest x-ray were independent risks factors across different age groups, whereas birth or feeding history, history of pneumonia, cyanosis or dyspnea on admission, and RSV infection were independent risk factors for only younger kids (< 1 year), and wheezing was an independent risk factor only for older children (2–5 years old). Conclusions Risk factors predicting disease severity among children hospitalized with CAP vary with age. Risk factor stratification of pediatric CAP based on age-specific risk factors can better guide clinical practice. Trial registration This study has been registered in China, with the registration number being ChiCTR2000033019.

To evaluate the relationships of the triglyceride-glucose (TyG) index with pregnancy-related complications (PRCs) and to clarify the predictability of the TyG index for PRCs. Patients and Methods: Totally of 11,387 women with a singleton pregnancy were prospectively followed until after delivery. Maternal fasting lipids and glucose concentration were measured in the first trimester (11 weeks gestation on average). The TyG index was calculated as ln [triglyceride (mg/dL) × fasting plasma glucose (mg/dL)/2]. We used generalized linear models to calculate the relative risks and 95% confidence intervals. Receiver-operating characteristic curve analysis was employed to assess the ability of the TyG index to predict the risks of PRCs. Results: Smooth spline reveals that the probability of gestational diabetes mellitus (GDM) is intensified with the increasing TyG index. Multivariate logistic regression adjusted for risk factors demonstrates a 1-unit and a 1-SD increment in the TyG index raises the risk of GDM by 3.63 and 1.57 times, respectively. Identically, the risk of GDM maximizes in the TyG quintile 5 (OR: 3.14; 95% CI: 2.55~3.85) relative to the lowest TyG index group. However, no association between TyG index and the risk of other PRCs was observed after full adjustment. The area under receiver operating characteristic curves is 0.647 (95% CI: 0.632-0.66) for GDM, and the optimal predictive cut-off is 8.55, with a specificity of 0.679 and sensitivity of 0.535. Conclusion:The first-trimester TyG index is significantly associated with the risk of incident GDM, while the relationships between the TyG index and other PRCs need further exploration.

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