Background and objective: Patients hospitalized for acute exacerbation of chronic obstructive pulmonary disease (COPD) have a high 30-day hospital readmission rate, which has a large impact on the health care system and patients’ quality of life. The use of a prediction model to quantify a patient’s risk of readmission may assist in directing interventions to patients who will benefit most. The objective of this study was to calculate the rate of 30-day readmissions and evaluate the accuracy of the LACE index (length of stay, acuity of admission, co-morbidities, and emergency department visits within the last 6 months) for 30-day readmissions in a general hospital population of COPD patients. Methods: All patients admitted with a principal diagnosis of COPD to Liverpool Hospital, a tertiary hospital in Sydney, Australia, between 2006 and 2016 were included in the study. A LACE index score was calculated for each patient and assessed using receiver operator characteristic curves. Results: During the study period, 2,662 patients had 5,979 hospitalizations for COPD. Four percent of patients died in hospital and 25% were readmitted within 30 days; 56% of all 30-day readmissions were again due to COPD. The most common reasons for readmission, following COPD, were heart failure, pneumonia, and chest pain. The LACE index had moderate discriminative ability to predict 30-day readmission (C-statistic =0.63). Conclusion: The 30-day hospital readmission rate was 25% following hospitalization for COPD in an Australian tertiary hospital and as such comparable to international published rates. The LACE index only had moderate discriminative ability to predict 30-day readmission in patients hospitalized for COPD.

Recent research has shown that the pattern of change over time, or trajectory, of body mass index (BMI) varies among children. However, the factors that underlie the heterogeneity in these trajectories remain largely unexplored. Our aim was to use a growth mixture model to empirically identify classes of BMI trajectories (from birth to 11.5 years) and examine the effects of breastfeeding, introduction of solids, as well as food and nutrient intake at 18 months on these BMI trajectories. We identified three BMI growth trajectories between birth and age 11.5 years, separately in boys and girls. Breastfeeding duration less than six months and the early introduction of solids did not adversely influence BMI trajectories in our sample but high intakes of meat, particularly high fat varieties, and high intakes of carbohydrate at age around 18 months were associated with a high BMI trajectory in boys. It is not clear whether these dietary factors confer a direct risk of higher BMI in childhood or are markers for other dietary patterns that are present early and/or develop through childhood and contribute to higher BMI.

It is known that asthma is a heterogeneous entity whose manifestations vary with age. Our objective was to examine changes in the manifestation of asthma and asthma-related traits in childhood by defining empirically derived childhood asthma phenotypes and examining their transitions over time.To define the phenotypes we used data on respiratory symptoms, healthcare utilisation, medications, spirometry, airway hyperresponsiveness (AHR), exhaled nitric oxide concentration and atopy from a birth cohort recruited on the basis of having a first-degree relative with asthma. Data were acquired at ages 1.5–11.5 years and analysed using latent transition analysis.In a study population of 370 participants, we classified subjects into four phenotypes: 1) nonatopic, few symptoms (prevalence range from 1.5 to 5 years: 52–60%), 2) atopic, few symptoms (3–21%), 3) nonatopic, asthma and rhinitis symptoms (13–35%), and 4) atopic, asthma and rhinitis symptoms (2–14%) in early childhood; and 1) nonatopic, no respiratory disease (prevalence range from 8 to 11.5 years: 41–46%), 2) atopic, no respiratory disease (23–33%), 3) nonatopic, asthma symptoms, no AHR or airway inflammation (8–12%) and 4) atopic asthma (19%) in mid-childhood. Transitioning between phenotypes was common in early childhood, but less common in later childhood.This analysis represents the first attempt to incorporate longitudinal patterns of several manifestations of asthma into a single model to simultaneously define phenotypes and examine their transitions over time. It provides quantitative support for the view that asthma is a heterogeneous entity, and that some children with wheeze and other respiratory symptoms in early life progress to asthma in mid-childhood, while others become asymptomatic.

Objectives To investigate the prevalence of the genital mollicutes, Mycoplasma genitalium (MG), Mycoplasma hominis (MH), Ureaplasma urealyticum (UU) and Ureaplasma parvum (UP), and their associations with cervicitis in a sexually transmitted infection (STI) clinic population. Clinical correlates of MG infection were also assessed. Methods 527 women were enrolled in a cross-sectional study at two STI clinics in Sydney between June 2006 and January 2010. Genital mollicutes were detected by multiplex PCR testing of cervical swabs, and associations with cervicitis were analysed. Cervicitis was defined as >30 polymorphonuclear cells per high-power field in at least three non-adjacent fields of cervical mucus on Gram stain. Results MG was found in 4.0% of women, MH in 17.1%, UU in 14.1%, and UP in 51.8%. MG was the only mollicute associated with cervicitis (unadjusted prevalence ratio (PR) 1.85, 95% CI 1.52 to 2.26, p<0.0001), and this association remained after adjustment for Chlamydia trachomatis (CT) infection (adjusted PR 1.24 (95% CI 1.04 to 1.48), p=0.02). MG was significantly associated with women being HIV positive (p=0.03), but not with age, vaginal discharge, commercial sex work, being of culturally and linguistically diverse background, or concurrent CT infection. Two of the 21 women with MG had ectopic pregnancies. Conclusions The authors recommend wider application of PCR testing for MG in STI services, particularly in high-risk women and those with cervicitis or HIV infection.