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ObjectiveTo describe the risk of death and hospitalisation until adolescence of children after group B streptococcus (GBS) infection during infancy.DesignPopulation-based cohort study.SettingNew South Wales, Australia.PatientsAll registered live births from 2000 to 2011.InterventionsComparison of long-term outcomes in children with the International Statistical Classification of Diseases and Related Health Problems-10th Revision discharge codes corresponding to GBS infections and those without.Main outcome measuresDeath and hospitalisation.ResultsA total of 1206 (0.1%) children (936 (77.6%)≥37 weeks’ gestation) were diagnosed with GBS infection. Over the study period, infection rates decreased from 2.1 (95% CI 1.8 to 2.4) to 0.7 (95% CI 0.5 to 0.9) per 1000 live births. Infants with GBS infection were born at lower gestation (mean 37.6 vs 39.0 weeks), were more likely very low birth weight (<1500 g, OR 9.1(95% CI 7.4 to 11.3)), born premature (OR 3.9(95% CI 3.4 to 4.5)) and have 5 min Apgar scores ≤5 (OR 6.7(95% CI 5.1 to 8.8)). Children with GBS had three times the adjusted odds of death (adjusted OR (AOR) 3.0(95% CI 2.1 to 4.3)) or rehospitalisations (AOR 3.1(95% CI 2.7 to 3.5)). Thirty-six (3.0%) with GBS died, with >50% of deaths occurring <28 days. Children with GBS were hospitalised more frequently (median 2 vs 1), for longer duration (mean 3.7 vs 2.2 days) and were at higher risk for problems with genitourinary (OR 3.1(95% CI 2.8 to 3.5)) and nervous (OR 2.0 (95% CI1.7 to 2.3)) systems.ConclusionsDespite decreasing GBS rates, the risk of poor health outcomes for GBS-infected children remains elevated, especially during the first 5 years. Survivors continue to be at increased risk of death and chronic conditions requiring hospitalisations, such as cerebral palsy and epilepsy.

ObjectiveTo determine the contribution of respiratory syncytial virus (RSV) to the subsequent development of severe asthma in different subgroups of children at risk of severe RSV disease.SettingsThe study was conducted in New South Wales (NSW), Australia.ParticipantsThe study comprised all children born in NSW between 2000 and 2010 with complete follow-up till 31 December 2011. The cohort was divided into three subgroups: (1) non-Indigenous high-risk children: non-Indigenous children born preterm or born with a low birth weight; (2) Indigenous children: children of mothers whose Indigenous status was recorded as Aboriginal and/or Torres Strait Islander and (3) non-Indigenous standard risk children: all other non-Indigenous term children.Primary outcome measureRisk of development of severe asthma in different subgroups of children who had RSV hospitalisation in the first 2 years of life compared with those who did not.DesignWe performed a retrospective cohort analysis using population-based linked administrative data. Extended Cox model was used to determine HR and 95% CI around the HR for first asthma hospitalisation in different subgroups of children.ResultsThe cohort comprised 847 516 children born between 2000 and 2010. In the adjusted Cox model, the HR of first asthma hospitalisation was higher and comparable across all subgroups of children who had RSV hospitalisation compared with those who did not. The HR (95% CI) was highest in children aged 2–3 years; 4.3 (95% CI 3.8 to 4.9) for high-risk, 4.0 (95% CI 3.3 to 4.8) for Indigenous and 3.9 (95% CI 3.7 to 4.1) for non-Indigenous standard risk children. This risk persisted beyond 7 years of age.ConclusionThis large study confirms a comparable increased risk of first asthma hospitalisation following RSV disease in the first 2 years of life across different subgroups children at risk.

Background A study of pregnancy outcomes related to pregnancy in prison in New South Wales, Australia, designed a two stage linkage to add maternal history of incarceration and serious mental health morbidity, neonatal hospital admission and infant congenital anomaly diagnosis to birth data. Linkage was performed by a dedicated state-wide data linkage authority. This paper describes use of the linked data to determine pregnancy prison exposure pregnancy for a representative population of mothers. Methods Researchers assessed the quality of linked records; resolved multiple-matched identities; transformed event-based incarceration records into person-based prisoner records and birth records into maternity records. Inconsistent or incomplete records were censored. Interrogation of the temporal relationships of all incarceration periods from the prisoner record with pregnancies from birth records identified prisoner maternities. Interrogation of maternities for each mother distinguished prisoner mothers who were incarcerated during pregnancy, from prisoner control mothers with pregnancies wholly in the community and a subset of prisoner mothers with maternities both types of maternity. Standard descriptive statistics are used to provide population prevalence of exposures and compare data quality across study populations stratified by mental health morbidity. Results Women incarcerated between 1998 and 2006 accounted for less than 1 % of the 404,000 women who gave birth in NSW between 2000 and 2006, while women with serious mental health morbidity accounted for 7 % overall and 68 % of prisoners. Rates of false positive linkage were within the predicted limits set by the linkage authority for non-prisoners, but were tenfold higher among prisoners (RR 9.9; 95%CI 8.2, 11.9) and twice as high for women with serious mental health morbidity (RR 2.2; 95%CI 1.9, 2.6). This case series of 597 maternities for 558 prisoners pregnant while in prison (of whom 128 gave birth in prison); and 2,031 contemporaneous prisoner control mothers is one of the largest available. Conclusions Record linkage, properly applied, offers the opportunity to extend knowledge about vulnerable populations not amenable to standard ascertainment. Dedicated linkage authorities now provide linked data for research. The data are not research ready. Perinatal exposures are time-critical and require expert processing to prepare the data for research.

Background Despite advances in the care of women and their babies in the past century, an estimated 1.7 million babies are born still each year throughout the world. A robust method to estimate a pregnant woman’s individualized risk of late-pregnancy stillbirth is needed to inform decision-making around the timing of birth to reduce the risk of stillbirth from 35 weeks of gestation in Australia, a high-resource setting. Methods This is a protocol for a cross-sectional study of all late-pregnancy births in Australia (2005–2015) from 35 weeks of gestation including 5188 stillbirths among 3.1 million births at an estimated rate of 1.7 stillbirths per 1000 births. A multivariable logistic regression model will be developed in line with current T ransparent R eporting of a multivariable prediction model for I ndividual P rognosis or D iagnosis (TRIPOD) guidelines to estimate the gestation-specific probability of stillbirth with prediction intervals. Candidate predictors were identified from systematic reviews and clinical consultation and will be described through univariable regression analysis. To generate a final model, elimination by backward stepwise multivariable logistic regression will be performed. The model will be internally validated using bootstrapping with 1000 repetitions and externally validated using a temporally unique dataset. Overall model performance will be assessed with R 2 , calibration, and discrimination. Calibration will be reported using a calibration plot with 95% confidence intervals ( α = 0.05). Discrimination will be measured by the C- statistic and area underneath the receiver-operator curves. Clinical usefulness will be reported as positive and negative predictive values, and a decision curve analysis will be considered. Discussion A robust method to predict a pregnant woman’s individualized risk of late-pregnancy stillbirth is needed to inform timely, appropriate care to reduce stillbirth. Among existing prediction models designed for obstetric use, few have been subject to internal and external validation and many fail to meet recommended reporting standards. In developing a risk prediction model for late-gestation stillbirth with both providers and pregnant women in mind, we endeavor to develop a validated model for clinical use in Australia that meets current reporting standards.

Background In recent years there has been an increase in the use of population-based linked data. However, there is little literature that describes the method of linked data preparation. This paper describes the method for merging data, calculating the statistical variable (SV), recoding psychiatric diagnoses and summarizing hospital admissions for a perinatal psychiatric study. Methods The data preparation techniques described in this paper are based on linked birth data from the New South Wales (NSW) Midwives Data Collection (MDC), the Register of Congenital Conditions (RCC), the Admitted Patient Data Collection (APDC) and the Pharmaceutical Drugs of Addiction System (PHDAS). Results The master dataset is the meaningfully linked data which include all or major study data collections. The master dataset can be used to improve the data quality, calculate the SV and can be tailored for different analyses. To identify hospital admissions in the periods before pregnancy, during pregnancy and after birth, a statistical variable of time interval (SVTI) needs to be calculated. The methods and SPSS syntax for building a master dataset, calculating the SVTI, recoding the principal diagnoses of mental illness and summarizing hospital admissions are described. Conclusion Linked data preparation, including building the master dataset and calculating the SV, can improve data quality and enhance data function.

In a population-based cohort study, we determined the association between the age at first severe respiratory syncytial virus (RSV) disease and subsequent asthma. Incidence rates and rate ratios of the first asthma-associated hospitalization after 2 years of age in children hospitalized for RSV disease at <3 months, 3 to <6 months, 6 to <12 months, and 12-24 months of age were calculated. The incidence of asthma-associated hospitalization per 1000 child-years among children hospitalized for RSV disease at <3 months of age was 0.5 (95% confidence interval [CI], .2-.7); at 3 to <6 months of age, 0.9 (95% CI,.5-1.3); at 6 to <12 months of age, 2.0 (95% CI, 1.4-2.7); and at 12-24 months of age, 1.7 (95% CI, 1.0-2.5). The rate ratio of hospitalization for asthma was 2-7-fold greater among children hospitalized for RSV disease at ages ≥6 months than that among those hospitalized for RSV disease at ages 0 to <6 months. Although the burden of RSV disease is highest in children aged <6 months, the burden of subsequent asthma is higher in children who develop RSV disease at ages ≥6 months.

Background Birthweight remains one of the strongest predictors of perinatal mortality and disability. Birthweight percentiles form a reference that allows the detection of neonates at higher risk of neonatal and postneonatal morbidity. The aim of the study is to present updated national birthweight percentiles by gestational age for male and female twins born in Australia. Methods Population data were extracted from the Australian National Perinatal Data Collection for twins born in Australia between 2001 and 2010. A total of 43,833 women gave birth to 87,666 twins in Australia which were included in the study analysis. Implausible birthweights were excluded using Tukey’s methodology based on the interquartile range. Univariate analysis was used to examine the birthweight percentiles for liveborn twins born between 20 and 42 weeks gestation. Results Birthweight percentiles by gestational age were calculated for 85,925 live births (43,153 males and 42,706 females). Of these infants, 53.6 % were born preterm (birth before 37 completed weeks of gestation) while 50.2 % were low birthweight (<2500 g) and 8.7 % were very low birthweight (<1500 g). The mean birthweight decreased from 2462 g in 2001 to 2440 g in 2010 for male twins, compared with 2485 g in 1991–94. For female twins, the mean birthweight decreased from 2375 g in 2001 to 2338 g in 2010, compared with 2382 g in 1991–94. Conclusions The birthweight percentiles provide clinicians and researchers with up-to-date population norms of birthweight percentiles for twins in Australia.

Background Data on burden of severe influenza in children with a range of chronic lung diseases (CLDs) remain limited. Method We performed a cohort study to estimate burden of influenza‐associated hospitalization in children with CLDs using population‐based linked data. The cohort comprised all children in New South Wales, Australia, born between 2001 and 2010 and was divided into five groups, children with: (a) severe asthma; (b) bronchopulmonary dysplasia (BPD); (c) cystic fibrosis (CF); (d) other congenital/chronic lung conditions; and (e) children without CLDs. Incidence rates and rate ratios for influenza‐associated hospitalization were calculated for 2001‐2011. Average cost/episode of hospitalization was estimated using public hospital cost weights. Results Our cohort comprised 888 157 children; 11 058 (1.2%) had one of the CLDs. The adjusted incidence/1000 child‐years of influenza‐associated hospitalization in children with CLDs was 3.9 (95% CI: 2.6‐5.2) and 0.7 (95% CI: 0.5‐0.9) for children without. The rate ratio was 5.4 in children with CLDs compared to children without. The adjusted incidence/1000 child‐years (95% CI) in children with severe asthma was 1.1 (0.6‐1.6), with BPD was 6.0 (3.7‐8.3), with CF was 7.4 (2.6‐12.1), and with other congenital/chronic lung conditions was 6.9 (4.9‐8.9). The cost/episode (95% CI) of influenza‐associated hospitalization was AUD 19 704 (95% CI: 11 715‐27 693) for children with CLDs compared to 4557 (95% CI: 4129‐4984) for children without. Discussion This large population‐based study suggests a significant healthcare burden associated with influenza in children with a range of CLDs.

ObjectivesTo determine the influence of burn injuries on childhood performance in national standardised curriculum-based school tests.DesignBirth and health records of 977 children who were hospitalised with a burn injury between 2000 and 2006 in the state of New South Wales, Australia, were linked to performance scores in the National Assessment Program: Literacy and Numeracy test, a compulsory nationwide curriculum-based test (CBT) and compared with children who were not hospitalised for burns and who were matched for birth year, gender, gestation and socioeconomic status.Main outcome measuresTest scores in years 3 (ages 8–9), 5 (ages 10–11) and 7 (ages 13–14) in numeracy, writing, reading, spelling, grammar and punctuation.ResultsMean age at first burn injury was 28 months (median: 20, range: 0–140). Children with burns were significantly more likely to have younger mothers (28.5 vs 29.6 years) (P<0.001), be indigenous (OR 2.5 (95% CI 2.1 to 3.1)) (P<0.001) and have siblings (OR 1.2 (95% CI 1.1 to 1.4)) (P<0.001). They were also less likely to meet national minimum standards in most domains of testing until year 5, even after adjustment for parental education levels, parental smoking, maternal age and indigenous status. Each 10% increase in total body surface area burnt was associated with a decrease in year 5 scores by 37.0% in numeracy and 71.9% in writing.ConclusionsMost childhood burn injuries occur before the start of formal schooling. Children who are hospitalised for burns perform more poorly in CBT even after accounting for family and socioeconomic disadvantage. Rehabilitation of children with burn injuries must address school performance to decrease any long-term negative societal impact of burns.

BackgroundData on risk factors for respiratory syncytial virus (RSV)-associated hospitalisation in Australian children may be informative for preventive measures.MethodsA whole-of-population-based study was conducted to identify comparable risk factors for RSV hospitalisation in different subgroups of children aged <2 years in New South Wales. The cohort was divided into Indigenous children and high-risk and standard risk non-Indigenous children. Data on risk factors were obtained from the Perinatal Data Collection. RSV hospitalisations were ascertained from the Admitted Patient Data Collection. Adjusted HRs were calculated for each subgroup. Population-attributable risk associated with risk factors was estimated.ResultsFour factors were associated with increased risk of RSV hospitalisation: maternal smoking during pregnancy, male sex, multiparity and birth during the first half of the RSV season. Increase in relative socioeconomic advantage was associated with decreased risk of hospitalisation. Among high and standard risk non-Indigenous children, the hazard was approximately double for children born to multiparous women compared to those born to primiparous women and among Indigenous children the hazard was approximately double among those born during the first half of the RSV season. Maternal smoking during pregnancy was associated with a 26–45% increased risk across subgroups and accounted for 17% (95% CI 9.3% to 24%) of RSV hospitalisations in Indigenous children, 5% (95% CI 2.5% to 8%) in high-risk and 6% (95% 5% to 7%) in standard risk non-Indigenous children.DiscussionPromoting avoidance of smoking during pregnancy may help in lowering the disease burden, with Indigenous children likely to benefit most.