Population-level Data Research Articles

Socioeconomic Factors Associated With Participation in Postmortem Tissue Donation in Pediatric Central Nervous System Tumors.

The gift of postmortem tissue donation is critical to pediatric central nervous system (CNS) research. As a "Center of Excellence" for the Gift from a Child Program, our institution has a well-established postmortem tissue donation program. Our objective was to determine if differences exist between patients who participated in and those that declined research-based autopsy. We performed a single-institution retrospective chart review of pediatric patients with CNS malignancies who died from their disease between January 1, 2021 and December 31, 2022. Individual clinical, demographic, and socioeconomic data were assessed. Population-level data were estimated using Zip Code Tabulation Areas. Descriptive statistics were used to compare categorical data. Among the 23 patient families approached during the study time frame, 8/23 (35%) consented to participation. In the consented (C) versus declined (D) group, there was a higher percentage of White, non-Hispanic/Latino patients by self-reported race (C: 88% vs. D: 55%), and no patients who identified as Asian or Hispanic/Latino (C: 0% and 0% vs. D: 13% and 27%). Of all patients approached, two required interpreters (9%), and both families declined participation. The rate of private insurance was higher in the consented group (C: 75% vs. D: 47%) compared to Medicaid as primary insurance in the declined group (C: 13% vs. D: 53%). CONCLUSIONS: Future research should aim to understand and improve identified disparities to ensure research advancements benefit all children with CNS malignancies. One area we plan to address is improved communication with non-English-speaking families by partnering with our interpreter services.

Abstract 4138686: Impact of Ejection Fraction on Incidence of Atrial Fibrillation Following Admission for Heart Failure

Introduction: Though the prevalence of atrial fibrillation (AF) is similar amongst heart failure (HF) with reduced, mildly reduced, and preserved ejection fractions, population-level data suggests a modestly increased prevalence in patients with HFpEF compared to those HFrEF. The development of atrial fibrillation is associated with increased risk of stroke, hospitalization, and cardiovascular death in all types of heart failure, though some data suggests morbidity and mortality is worse amongst those with HFpEF. Whether ejection fraction plays a role in development of AF following a HF hospitalization is unclear. Hypothesis: We hypothesized incidence of AF following heart failure hospitalization is increased in patients with preserved ejection fractions. Aim: The goal of this study is to assess the impact of ejection fraction on development of new atrial fibrillation following heart failure exacerbation. Methods: Patients admitted to an academic tertiary care hospital with a primary diagnosis of HF without a previous diagnosis of AF were identified and followed for up to one year for this retrospective study. Demographic, comorbidity, medications, and echocardiography of these patients were obtained from the medical record and analyzed. Consistent with the American Heart Association heart failure guidelines, we defined HFrEF as an EF less than 40%, HFmrEF as an EF between 40-50%, and HFpEF as an EF greater than 50%. This data was analyzed on SPSS using cox-regression and Kaplan-Meier survival analysis. Results: Of the 3,953 patients included in our study, 22.2% had HFrEF, 13.5% had HFmrEF, and 64.3% had HFpEF. At the end of one year 23.5% of those with HFrEF, 20.1% of those with HFmrEF, and 15.9% of those with HFpEF, developed atrial fibrillation. The difference in AF incidence was noted to be statistically significantly lower in HFpEF compared to HFrEF (p<0.001) and HFmrEF (p=0.019). The difference between HFmrEF and HFrEF did not reach statistical significance (p=0.144). Conclusion: In patients without atrial fibrillation, a reduced ejection fraction is associated with an increased incidence of atrial fibrillation one year following a hospitalization for heart failure compared to a preserved ejection fraction.

Populationwide Screening for Chronic Kidney Disease

Sodium-glucose cotransporter-2 (SGLT2) inhibitors have changed clinical management of chronic kidney disease (CKD) and made populationwide screening for CKD a viable strategy. Optimal age of screening initiation has yet to be evaluated. To compare the clinical benefits, costs, and cost-effectiveness of population-wide CKD screening at different initiation ages and screening frequencies. This cost-effectiveness study used a previously published decision-analytic Markov cohort model that simulated progression of CKD among US adults from age 35 years and older and was calibrated to population-level data from the National Health and Nutrition Examination Survey (NHANES). Effectiveness of SGLT2 inhibitors was derived from the Dapagliflozin and Prevention of Adverse Outcomes in Chronic Kidney Disease (DAPA-CKD) trial. Mortality, quality-of-life weights, and cost estimates were obtained from published cohort studies, randomized clinical trials, and US Centers for Medicare & Medicaid Services data. Analyses were performed from June 2023 through September 2024. One-time or periodic (every 10 or 5 years) screening for albuminuria, initiated at ages between 35 and 75 years, with and without addition of SGLT2 inhibitors to conventional CKD therapy (angiotensin-converting enzyme inhibitors/angiotensin receptor blockers). Cumulative incidence of kidney failure requiring kidney replacement therapy (KRT); life years, quality-adjusted life years (QALYs), lifetime health care costs (2024 US currency), and incremental cost-effectiveness ratios discounted at 3% annually. For those aged 35 years, starting screening at age 55 years, and continuing every 5 years through age 75 years, combined with SGLT2 inhibitors, decreased the cumulative incidence of kidney failure requiring KRT from 2.4% to 1.9%, increased life expectancy by 0.13 years, and cost $128 400 per QALY gained. Although initiation of screening every 5 years at age 35 or 45 years yielded greater gains in population-wide health benefits, these strategies cost more than $200 000 per additional QALY gained. The comparative values of starting screening at different ages were sensitive to the cost and effectiveness of SGLT2 inhibitors; if SGLT2 inhibitor prices drop due to patent expirations, screening at age 55 years continued to be cost-effective even if SGLT2 inhibitor effectiveness were 30% lower than in the base case. This study found that, based on conventional benchmarks for cost-effectiveness in medicine, initiating population-wide CKD screening with SGLT2 inhibitors at age 55 years would be cost-effective.

Age-Related Diversification and Specialization in the Mental Lexicon: Comparing Aggregate and Individual-Level Network Approaches.

The mental lexicon changes across the lifespan. Prior work, aggregating data among individuals of similar ages, found that the aging lexicon, represented as a network of free associations, becomes more sparse with age: degree and clustering coefficient decrease and average shortest path length increases. However, because this work is based on aggregated data, it remains to be seen whether or not individuals show a similar pattern of age-related lexical change. Here, we demonstrate how an individual-level approach can be used to reveal differences that vary systematically with age. We also directly compare this approach with an aggregate-level approach, to show how these approaches differ. Our individual-level approach follows the logic of many past approaches by comparing individual data as they are situated within population-level data. To do this, we produce a conglomerate network from population-level data and then identify how data from individuals of different ages are situated within that network. Though we find most qualitative patterns are preserved, individuals produce associates that have a higher clustering coefficient in the conglomerate network as they age. Alongside a reduction in degree, this suggests more specialized but clustered knowledge with age. Older individuals also reveal a pattern of increasing distance among the associates they produce in response to a single cue, indicating a more diverse range of associations. We demonstrate these results for three different languages: English, Spanish, and Dutch, which all show the same qualitative patterns of differences between aggregate and individual network approaches. These results reveal how individual-level approaches can be taken with aggregate data and demonstrate new insights into understanding the aginglexicon.

Early identification of children with Attention-Deficit/Hyperactivity Disorder (ADHD).

Signs and symptoms of Attention-Deficit/Hyperactivity Disorder (ADHD) are present at preschool ages and often not identified for early intervention. We aimed to use machine learning to detect ADHD early among kindergarten-aged children using population-level administrative health data and a childhood developmental vulnerability surveillance tool: Early Development Instrument (EDI). The study cohort consists of 23,494 children born in Alberta, Canada, who attended kindergarten in 2016 without a diagnosis of ADHD. In a four-year follow-up period, 1,680 children were later identified with ADHD using case definition. We trained and tested machine learning models to predict ADHD prospectively. The best-performing model using administrative and EDI data could reliably predict ADHD and achieved an Area Under the Curve (AUC) of 0.811 during cross-validation. Key predictive factors included EDI subdomain scores, sex, and socioeconomic status. Our findings suggest that machine learning algorithms that use population-level surveillance data could be a valuable tool for early identification of ADHD.

Estimates of intra-cluster correlation coefficients from 2018 USA Medicare data to inform the design of cluster randomized trials in Alzheimer’s and related dementias

BackgroundCluster randomized trials (CRTs) are increasingly important for evaluating interventions embedded in health care systems. An essential parameter in sample size calculation to detect both overall and heterogeneous treatment effects for CRTs is the intra-cluster correlation coefficient (ICC) of both outcome and covariates of interest. However, obtaining advance estimates for the ICC can be challenging. When trial outcomes will be obtained from routinely collected data sources, there is an opportunity to obtain reliable ICC estimates in advance of the trial. Using USA national Medicare data, we estimated ICCs for a range of outcomes to inform the design of CRTs for people living with Alzheimer’s and related dementias (ADRD).MethodData from 2018 Medicare Fee-for-Service beneficiaries, specifically, 1,898,812 individuals (≥ 65 years) with diagnosis of ADRD within 3436 hospital service areas (treated as clusters) and 306 hospital referral regions (treated as fixed strata), were used to calculate unadjusted and adjusted ICC estimates for three outcomes: death, any hospitalizations, and any emergency department (ED) visits and three covariates: age, race and sex. We present both overall and stratum-specific ICC estimates. We illustrate their use in sample size calculations for overall treatment effects as well as detecting treatment effect heterogeneity.ResultsThe unadjusted overall ICCs for death, hospitalizations, and ED visits were 0.001, 0.010, and 0.017 respectively. Stratum-specific ICCs varied widely across the 306 HRRs: median 0.001, 0.010 and 0.025 for death, hospitalizations, and ED visits respectively and 0.007, 0.001, and 0.080 for age, sex and race. An interactive R Shiny app is provided that allows users to retrieve estimates overlayed on a map of the USA.ConclusionsWe presented both adjusted and unadjusted ICCs for outcomes as well as unadjusted ICCs for covariates of potential interest from population-level data in the USA and demonstrated how the estimates may be used in sample size calculations for CRTs in ADRD.

Prevalence of Adverse Childhood Experiences Among Adolescents.

Adverse childhood experiences (ACEs) are preventable, potentially traumatic events with lifelong negative impacts. Population-level data on ACEs among adolescents have historically relied on parent reports and excluded abuse-related ACEs. We present the self-reported prevalence of ACEs among a large population-based sample of US high school students. Using cross-sectional, state-representative data from 16 states that included core ACE questions on their 2021 Youth Risk Behavior Survey, we estimate the prevalence of 8 individual (lifetime emotional, physical, or sexual abuse, physical neglect, witnessed intimate partner violence, household substance use, household poor mental health, incarcerated parent or guardian) and cumulative ACEs (0, 1, 2-3, ≥4) among a large population-based sample of adolescents, overall and by demographic characteristics (sex, race and ethnicity, age, sexual orientation). Emotional abuse (65.8%), household poor mental health (36.1%), and physical abuse (32.5%) had the highest prevalence. ACEs were very common, with 80.5% of adolescents experiencing at least 1 ACE and 22.4% experiencing ≥4 ACEs. Experiencing ≥4 ACEs was highest among adolescents who were female (27.7%), non-Hispanic multiracial (33.7%), non-Hispanic American Indian or Alaska Native (27.1%), gay or lesbian (36.5%), bisexual (42.1%), or who described their sexual identity some other way or were not sure of their sexual identity (questioning) (36.5%). Self-reported ACE estimates among adolescents exceed previously published parent-reported estimates. ACEs are not equally distributed, with important differences in individual and cumulative ACEs by demographic characteristics. Collecting ACE data directly from adolescents at the state level provides actionable data for prevention and mitigation.

Comorbid Depression in Patients With Head and Neck Cancer Compared With Other Cancers

Depression is more prevalent among individuals with cancer than in the general population and is correlated with increased mortality in patients with head and neck cancer (HNC) in particular. To compare the prevalence of depression between patients with HNC and patients with other cancers. This retrospective cohort study used population-level data on patients aged 18 years or older with cancer who participated in the 2019 National Health Interview Survey and had completed the Personal Health Questionnaire-8 (PHQ-8). The analysis was performed between August 7, 2023, and April 5, 2024. Any cancer diagnosis. The main outcome was prevalence and severity of depression based on the PHQ-8. The magnitude of the difference in baseline characteristics was measured between patients with HNC and those with other cancer types, and 95% CIs were used to measure the precision of these estimates. Multivariable logistic regressions were used to evaluate the association of demographic, socioeconomic, anxiety, and clinical variables with depression. From a weighted cohort of 23 496 725 adult patients with cancer, 377 080 were diagnosed with HNC (87.5% aged 51-84 years; 77.9% male). The prevalence of any depression on the PHQ-8 (mild, moderate, or severe) was 40.1% in patients with HNC vs 22.3% in patients with other cancers. Compared with patients with other cancers, patients with HNC were equally likely to screen positive for anxiety (23.6% vs 16.0%; difference, 7.6%; 95% CI, -5.9% to 21.1%), take medication for depression (10.1% vs 13.9%; difference, -3.8%; 95% CI, -11.9% to 4.4%), and state that they never feel depressed (59.7% vs 53.7%; difference, 6.0%; 95% CI, -9.1% to 21.0%). On multivariable logistic regression analysis, having HNC was associated with an increased likelihood of depression (odds ratio [OR], 2.94; 95% CI, 1.39-6.22). Other factors associated with depression were being unmarried or not living with a partner (OR, 1.94; 95% CI, 1.55-2.43) and having anxiety (OR, 23.14; 95% CI, 17.62-30.37). This cohort study found that patients with HNC were twice as likely to screen positive for depression on a validated survey than those with other cancers, despite having similar rates of self-reported depression and depression medication use. These findings suggest that self-reporting of depression may result in underreporting and undertreatment in this population and, thus, a need for further work in developing interventions to improve identification of and optimize treatment for patients with HNC and comorbid depression.

National Trends in the Creation of Diverting Ileostomy at the Time of Ileal Pouch-Anal Anastomosis in Adults With Ulcerative Colitis.

The impact of diverting ileostomy in adults with ulcerative colitis (UC) undergoing ileal pouch-anal anastomosis (IPAA) is unclear. This study uses a novel approach with population-level data to identify patients with diverting ileostomy at the time of IPAA and determine the impact of diverting ileostomy on postoperative outcomes. Using the International Business Machines (IBM) MarketScan® database, adults (18-64years old) with a diagnosis of UC who underwent IPAA between 2000 and 2019 were examined. Patients were assigned to the diverting ileostomy (DI) cohort or no-DI cohort based on the presence of an ostomy closure code in the 1-year following their IPAA. Rates of ileostomy formation and readmissions were quantified and outcomes between cohorts compared. There were 540 patients in the no-DI and 2494 in the DI cohort. There were regional differences in the rate of ostomy creation, but the overall rate of ostomy creation remained stable across years. Patients with no-DI vs DI had a longer index length of stay (LOS) (7 vs 6days, P = .001). Adverse postoperative outcomes did not differ between cohorts. Diversion did not independently affect the likelihood of a 30-day readmission, and since 2000, readmission rates have declined for all IPAA patients. This is the first study to capture population-level data on the effect of diversion at the time of IPAA for adult UC patients. This study demonstrates that the rate of fecal diversion at the time of IPAA has remained stable over time, but readmission rates have declined.

72 Hospital level of service, rural-urban hospital location, and neonatal resuscitation interventions at birth: A population-based study in Alberta, Canada from 2000-2020

Abstract Background Advanced neonatal resuscitation interventions (ANRIs: endotracheal intubation, chest compressions, and epinephrine) are rarely needed for infants born at ≥34 weeks gestational age (GA). However, healthcare providers (HCPs) in community hospitals can encounter the need for ANRIs, while having less experience and resources than HCPs in centers with neonatal intensive care units (NICUs). Understanding practice differences between hospitals of different levels of service (LofS) and rural/urban location can inform quality improvement to reduce health disparities. Objectives To examine how hospital level of service and rural/urban location relate to ANRI rates in Alberta, Canada, a universal public health system with standardized Neonatal Resuscitation Program (NRP) training. Design/Methods All live births ≥34 weeks GA in Alberta from 2000-2020 inclusive were examined using retrospective, population-level administrative data from the Alberta Perinatal Health Program (APHP). Hospitals (n=97) were contacted to determine annual LofS during the study period, with levels (0,1A/B/C,2,3) based on provincial obstetrical triage for availability of delivery support, cesarean-sections, obstetricians, paediatricians/neonatologists, and NICUs. Hospitals were further subcategorized by population and proximity to metropolitan centers.(Table 1) Rates of individual interventions or any ANRI were compared. Results There were 971,403 live births during the study period with a mean GA of 38.9 weeks; 1.6% were missing ANRI data, 955,835 births were included. Most occurred in hospitals with level 2 (57.4%) or level 3 (21.8%) NICUs; few occurred at sites with no delivery support (Level 0, 0.1%). ANRI rates were intubation (0.8%), chest compression (0.2%), and epinephrine (0.02%), any ANRI (0.96%, ~1/1000 live births). However, chest compression rates progressively decrease, and intubation rates progressively increase as LofS increases.(Table 1, Figure 1) When considering rural/urban location, there were outliers in chest compression rates in remote 0 (25.4/1000 live births) and metro-influenced 1A (30.2/1000 live births), intubation in remote 1C (33.3/1000 live births) and metro 0 (193.5/1000 live births) and epinephrine in metro 0 (64.5/1000 live births). Conclusion In this population-based cohort study of ≥34 weeks births, there were higher chest compressions rates and lower intubations rates at hospitals without NICUs despite standardized training. Reasons for this difference require further investigation; potential solutions such as targeted outreach education and introduction of laryngeal mask airways could be explored.

Early Intervention services in the era of genomic medicine: setting a research agenda.

Newborn genomic sequencing (NBSeq) has the potential to substantially improve early detection of rare genetic conditions, allowing for pre-symptomatic treatment to optimize outcomes. Expanding conceptions of the clinical utility of NBSeq include earlier access to behavioral early intervention to support the acquisition of core motor, cognitive, communication, and adaptive skills during critical windows in early development. However, important questions remain about equitable access to early intervention programs for the growing number of infants identified with a genetic condition via NBSeq. We review the current NBSeq public health, clinical, and research landscape, and highlight ongoing international research efforts to collect population-level data on the utility of NBSeq for healthy newborns. We then explore the challenges facing a specific Early Intervention (EI) system-the US federally supported "Part C" system-for meeting the developmental needs of young children with genetic diagnoses, including structural limitations related to funding, variable eligibility criteria, and lack of collaboration with newborn screening programs. We conclude with a set of questions to guide future research at the intersection of NBSeq, newborn screening, and EI, which once answered, can steer future policy to ensure that EI service systems can optimally support the developmental needs of infants impacted by broader implementation of NBSeq. IMPACT: Existing literature on the clinical benefits of genome sequencing in newborns tends to focus on earlier provision of medical interventions, with less attention to the ongoing developmental needs of very young children with genetic conditions. This review outlines the developmental needs of a growing number of children diagnosed with genetic conditions in infancy and describes the strengths and limitations of the United States Early Intervention system (IDEA Part C) for meeting those needs.

A comprehensive study of genetic regulation and disease associations of plasma circulatory microRNAs using population-level data.

MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression. Perturbations in plasma miRNA levels are known to impact disease risk and have potential as disease biomarkers. Exploring the genetic regulation of miRNAs may yield new insights into their important role in governing gene expression and disease mechanisms. We present genome-wide association studies of 2083 plasma circulating miRNAs in 2178 participants of the Rotterdam Study to identify miRNA-expression quantitative trait loci (miR-eQTLs). We identify 3292 associations between 1289 SNPs and 63 miRNAs, of which 65% are replicated in two independent cohorts. We demonstrate that plasma miR-eQTLs co-localise with gene expression, protein, and metabolite-QTLs, which help in identifying miRNA-regulated pathways. We investigate consequences of alteration in circulating miRNA levels on a wide range of clinical conditions in phenome-wide association studies and Mendelian randomisation using the UK Biobank data (N = 423,419), revealing the pleiotropic and causal effects of several miRNAs on various clinical conditions. In the Mendelian randomisation analysis, we find a protective causal effect of miR-1908-5p on the risk of benign colon neoplasm and show that this effect is independent of its host gene (FADS1). This study enriches our understanding of the genetic architecture of plasma miRNAs and explores the signatures of miRNAs across a wide range of clinical conditions. The integration of population-based genomics, other omics layers, and clinical data presents opportunities to unravel potential clinical significance of miRNAs and provides tools for novel miRNA-based therapeutic target discovery.

Comprehensive evaluation and guidance of structural variation detection tools in chicken whole genome sequence data

BackgroundStructural variations (SVs) are widespread across genome and have a great impact on evolution, disease, and phenotypic diversity. Despite the development of numerous bioinformatic tools, commonly referred to as SV callers, tailored for detecting SVs using whole genome sequence (WGS) data and employing diverse algorithms, their performance necessitates rigorous evaluation with real data and validated SVs. Moreover, a considerable proportion of these tools have been primarily designed and optimized using human genome data. Consequently, their applicability and performance in Avian species, characterized by smaller genomes and distinct genomic architectures, remain inadequately assessed.ResultsWe performed a comprehensive assessment of the performance of ten widely used SV callers using population-level real genomic data with the validated five common types of SVs. The performance of SV callers varies with the types and sizes of SVs. As compared with other tools, GRIDSS, Lumpy, Wham, and Manta present better detection accuracy. Pindel can detect more small SVs than others. CNVnator and CNVkit can detect more medium and large copy number variations. Given the poor consistency among different SV callers, the combination calling strategy is not recommended. All tools show poor ability in the detection of insertions (especially with size > 150 bp). At least 50× read depth is required to detect more than 80% of the SVs for most tools.ConclusionsThis study highlights the importance and necessity of using real sequencing data, rather than simulated data only, with validated SVs for SV caller evaluation. Some practical guidance and suggestions are provided for SV detection in future researches.

ScCTS: identifying the cell type-specific marker genes from population-level single-cell RNA-seq

Single-cell RNA-sequencing (scRNA-seq) provides gene expression profiles of individual cells from complex samples, facilitating the detection of cell type-specific marker genes. In scRNA-seq experiments with multiple donors, the population level variation brings an extra layer of complexity in cell type-specific gene detection, for example, they may not appear in all donors. Motivated by this observation, we develop a statistical model named scCTS to identify cell type-specific genes from population-level scRNA-seq data. Extensive data analyses demonstrate that the proposed method identifies more biologically meaningful cell type-specific genes compared to traditional methods.

Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery

In brain network analysis, individual-level data can provide biological features of individuals, while population-level data can provide demographic information of populations. However, existing methods mostly utilize either individual- or population-level features separately, inevitably neglecting the multi-level characteristics of brain disorders. To address this issue, we propose an end-to-end multi-graph neural network model called KMGCN. This model simultaneously leverages individual- and population-level features for brain network analysis. At the individual level, we construct multi-graph using both knowledge-driven and data-driven approaches. Knowledge-driven refers to constructing a knowledge graph based on prior knowledge, while data-driven involves learning a data graph from the data itself. At the population level, we construct multi-graph using both imaging and phenotypic data. Additionally, we devise a pooling method tailored for brain networks, capable of selecting brain regions that impact brain disorders. We evaluate the performance of our model on two large datasets, ADNI and ABIDE, and experimental results demonstrate that it achieves state-of-the-art performance, with 86.87% classification accuracy for ADNI and 86.40% for ABIDE, accompanied by around 10% improvements in all evaluation metrics compared to the state-of-the-art models. Additionally, the biomarkers identified by our model align well with recent neuroscience research, indicating the effectiveness of our model in brain network analysis and potential biomarker discovery. The code is available at https://github.com/GN-gjh/KMGCN.

The Contribution of Hypertensive Disorders of Pregnancy to Neonatal Unit Admissions and Iatrogenic Preterm Delivery at < 34+0 Weeks' Gestation in the UK: A Population-Based Study Using the National Neonatal Research Database.

The objectives of this study were to (i) quantify the contribution of maternal hypertensive disorders of pregnancy (HDP) to iatrogenic preterm birth (PTB) and neonatal unit (NNU) admissions < 34+0 weeks and (ii) describe short-term population-level outcomes for HDP infants, exploring ethnic disparities and comparing outcomes by HDP exposure. Retrospective population-based study using the National Neonatal Research Database. England and Wales. Infants born < 34+0 weeks and admitted to NNU 2012-2020. Descriptive statistics, linear and logistic regression models to compare outcomes between groups. Survival to discharge with/without comorbidity. 122 228 infants met inclusion criteria. Where collected, 49 839/114 164 (43.7%, 95% CI 43.4%-43.9%) of infants had an iatrogenic PTB. HDP was recorded in 16 510/122 228 (13.5%) of all infants and 13 560/49 839 (27.2%) of iatrogenic PTBs. HDP and/or foetal growth restriction (FGR) were recorded in 24 124/49 839 (48.4%) of iatrogenic PTBs. Singleton HDP infants < 10th BWC had ≥ 90% survival to discharge from 28 weeks' gestation, versus from 26 weeks' gestation for those born ≥ 10th BWC. In extreme preterm HDP infants (< 27 weeks), 27.3% of infants < 10th BWC died compared to 15.2% of those ≥ 10th BWC. Survival without comorbidity was ≥ 90% from 32 weeks' gestation in HDP infants across BWC. These contemporaneous population-level data show that almost one in two PTB < 34+0 weeks' gestation are iatrogenic, with HDP and/or FGR being the major contributors to iatrogenic prematurity. This has substantial implications for strategies to reduce preterm birth in the UK and internationally. The data further inform antenatal and at-birth counselling of HDP-exposed infants.

Characteristics of adult male victims in intimate heterosexual relationships from domestic violence police narratives

Background settingDomestic violence (DV) perpetrated against male victims has received little attention in the literature, since men are generally the perpetrators rather than victims of DV. This study examines the characteristics of adult male victims and female Persons of Interest (POIs) suspected and/or charged with perpetrating a DV offence in an intimate relationship.MethodsWe analyzed the results from a text mining study on half a million (492,393) police-attended DV events from 2005 to 2016 in New South Wales (Australia). 7.3% (13,896) events involving an adult male victim and a female POI in an intimate relationship were included.ResultsOver three-quarters (77.5%; 10,775) of DV events had at least one abuse type recorded, with the most common being “unspecified assault” (57.3%), followed by verbal abuse (34.1%), and punching (29.1%). Half of events (51.2%; 7,128) had an injury recorded by the police, with “cut/abrasion(s)” the most common (41.6%), followed by “red mark/sign” (25.4%), and “bruising” (15.8%). A total of 2,196 (15.8%) DV events had a mention of a mental illness for the POIs and 570 (4.1%) for the victims. Mood disorders had the most mentions for both POIs (37.0%) and victims (32.8%). Among victims, anxiety related disorders saw the largest increase (14.0%) in mentions from 2005 to 2016, followed by depression (8.0%).ConclusionOur findings represent population level data insights from DV events involving an adult male victim in an intimate relationship with a female POI. Our findings align with existing studies suggesting that female POIs are more likely than male POIs to use objects/weapons, employ verbal abuse, and perform minor acts of physical violence. Female POIs had 4 times the number of mental illness mentions than male victims indicating that mental illness could be a risk factor for DV, while the increase in anxiety disorders and depression for male victims corresponds with research that associates mental illnesses and DV victimhood. This study highlights the need for a greater awareness and support for male victims of DV.

Sociodemographic, mental health, education, employment and income characteristics of adults with obsessive–compulsive disorder who accessed secondary health services in Aotearoa | New Zealand

ABSTRACT Little is known about New Zealanders who experience obsessive–compulsive disorder (OCD). Using population-level data for people aged 18–64 years, we identified a cohort of 5559 people who accessed secondary health services and had a diagnosis of OCD. We explored their characteristics in comparison to people without OCD. The rate of OCD per 10,000 people differed by ethnicity (European, 24.7; Māori, 13.4; Pacific Peoples, 5.6; Asian, 5.9). We observed variation in OCD rates by the geographic divisions of the public healthcare provider Health NZ which persisted following standardisation for age, sex, ethnicity and urban vs rural residence (Northern, 14.5; 95% confidence interval (CI) 13.7–15.2; Te Manawa Taki, 10.9; CI 10.0–11.8; Central, 19.7, CI 18.5–20.8; Te Waipounamu, 27.4, CI 26.2–28.7). These disparities suggest inequity of access to healthcare. Individuals in this cohort typically had at least one co-occurring mental health or related condition (78.8%) and were less likely to have at least level 4 educational qualifications (equivalent to first year of an undergraduate degree) (adjusted rate ratio (ARR) 0.94; CI 0.90–0.97), to be employed (ARR 0.69; CI 0.66–0.72) and to belong to a higher income bracket ($40,000 or higher, ARR 0.57; CI 0.53–0.62). These findings suggest wider support needs. What we already know Obsessive–compulsive disorder (OCD) is a mental health condition that is characterised by repetitive intrusive thoughts and compulsive behaviours and has a twelve-month prevalence of around 1–2% in adults. In clinic-based studies, most individuals with OCD have other mental health and related conditions and, to a lesser degree, this is also observed in community surveys. OCD is typically first experienced as a child, adolescent or young adult and can severely impact an individual’s ability to engage in education and employment. What this article adds Using the Integrated Data Infrastructure (IDI), a national collection of linked health and non-health data, we explored the characteristics of working-age adults with OCD who had accessed public secondary health services in Aotearoa | New Zealand (NZ). There were marked differences in the rates of OCD for geographic areas corresponding to the regional divisions of Health NZ | Te Whatu Ora, and, as previously described, by ethnicity. These findings suggest inequity of access to healthcare and merit further investigation. In comparison to other working-age adults, people in the study cohort were moderately less likely to have achieved higher level educational qualifications, and they were markedly less likely to be employed and to belong to a higher income bracket. Accessing public secondary health services is likely to be a proxy for more severe and/or complex psychological disability and many people in this cohort had other mental health and related conditions. Therefore, the characteristics of this cohort cannot be generalised to the entire group of people who experience OCD in NZ.

Real World Evidence Study to Assess Incidence, Treatment Patterns, Clinical Outcomes, and Health Care Resource Utilization in Early-Stage, High-Risk HER2-Negative Breast Cancer in Alberta, Canada

BackgroundData are needed to improve the current understanding of the epidemiology of patients with high-risk, HER2-negative, early breast cancer (eBC) (hormone receptor positive [HR+]/HER2-negative BC and triple-negative BC [TNBC]). Patients and MethodsThis retrospective longitudinal cohort study used real-world, population-level data that included all individuals newly diagnosed with high-risk, HER2-negative eBC in Alberta, Canada, between 2010 and 2019. Data on treatment, laboratory results and pathology findings were collected through electronic health records and administrative databases. ResultsThe annual cumulative incidence of high-risk, HER2-negative eBC ranged from 6% to 9% of all incident BC cases. Individuals with TNBC were more likely to be younger, had stage II disease, grade 3 histology and received systemic therapy at a community centre (P < .05) compared to individuals with HR+/HER2-negative eBC. Only 14% of individuals diagnosed in 2010-2017 underwent germline BRCA testing postdiagnosis. Neoadjuvant systemic therapy was given to 37% of individuals. Adjuvant systemic therapy use increased from 77% (2012-2015) to 84% (2019). The 5-year overall survival (OS) from initiation of adjuvant systemic therapy or date of surgery (for individuals who did not receive adjuvant systemic therapy) was 77% (95% CI: 75-79). OS was significantly worse among individuals who were older, had grade 3 histology, had stage III disease, or had nodal involvement (P < .05). OS among individuals with TNBC between 2016 and 2019 who initiated adjuvant capecitabine was markedly worse compared to the overall cohort (2-year OS: 70% vs. 89%). ConclusionOutcomes analyses in this high-risk, HER2-negative eBC population suggest a continued unmet clinical need.

Affirming schools, population-level data, and holistic public health are key to addressing mental ill-health and substance use disparities among gender and sexuality diverse young people in Australia and Aotearoa New Zealand

Affirming schools, population-level data, and holistic public health are key to addressing mental ill-health and substance use disparities among gender and sexuality diverse young people in Australia and Aotearoa New Zealand