Evolution of CD4 T-Cell count with age in a cohort of young people growing up with perinatally acquired HIV

Background: Recent studies have shown a decrease in CD4 count during adolescence in young people with perinatally acquired HIV (PHIV). We examine changes and predictors of CD4 over time in PHIV in the UK and compare to published CD4 data in the general population.// Methods: PHIV followed in the Collaborative HIV Paediatric Study who started antiretroviral therapy (ART) from 2000 onwards were included. Follow-up data from the UK Collaborative HIV Cohort Study were also used. Changes in CD4 count over time from age 10 to 20 years were analysed using mixed effects models. Potential predictors included demographics, age at ART start, nadir CD4 z-score (age-adjusted) in childhood and time-updated viral load.// Results: Of 1,258 PHIV included, 669 (53%) were female, median [IQR] age at ART initiation was 8.3 years [3.5, 12.1] and nadir CD4 z-score was -4.0 [-5.9, -2.5]. In multivariable analysis, mean CD4 count was higher in PHIV who started ART before age 10 and had a nadir CD4 z-score ≥-4 in childhood; these PHIV had a decline in CD4 count after age 10 which was comparable to the general population. Mean CD4 count was lower in PHIV who had started ART before age 10 and had a nadir CD4 z-score <-4 in childhood; for this group the decline in CD4 count after age 10 was steeper over time.// Conclusions: In children, as well as starting ART at an early age, optimising ART to maintain a higher CD4 z-score during childhood may be important to maximize immune reconstitution later in life

The cascade of care for children and adolescents with HIV in the UK and Ireland, 2010 to 2016.

INTRODUCTION: The UNAIDS 90-90-90 targets for the cascade of care are widely used to monitor the success of HIV care programmes but there are few studies in children. We assessed the cascade for children and adolescents living with HIV in the national Collaborative HIV Paediatric Study (CHIPS) in the UK and Ireland. METHODS: Utilizing longitudinal data from CHIPS we compared the cascade of care for 2010, 2013 and 2016. Among children diagnosed with HIV and not known to be lost to follow-up at the start of each calendar year, we summarized the proportion in active paediatric care during that year (defined as having ≥1 clinic visit, CD4 or viral load measurement, or change to antiretroviral therapy (ART) regimen), and of these, the proportion on ART at last visit in that year. Among those on ART, the proportion with viral suppression (<200 copies/mL) and good immune status (WHO immunological stage none-/mild-for-age) at last visit in the year were summarized. Among those in care in 2016, outcomes were compared by current age, place of birth (born abroad vs. UK/Ireland) and sex. RESULTS: Of children in paediatric HIV care at the start of 2010, 2013 and 2016 (n = 1249, 1157, 905 respectively), the proportion in active care during that calendar year was high throughout at 97 to 99%. Of those in active care, the proportion on ART increased from 79% to 85% and 92% respectively (p < 0.001). Among those on ART, the proportion with viral suppression and good immune status was stable at 83% to 86% and 85% to 88%, respectively, across the years. Among children in care in 2016, those aged ≥15 years were less likely to be virally suppressed (79% vs. 91%, p < 0.001) or to have good immune status (78% vs. 94%, p < 0.001) compared to younger children; there were no differences by place of birth or sex. CONCLUSIONS: Children and adolescents in the UK and Ireland national cohort had high retention in care. The proportion on ART increased significantly over time although there was no change in viral suppression or good immune status. Poorer outcomes among adolescents highlight the need for targeted support for this population

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management. © 2021, The Author(s)

Which sexually active young female students are most at risk of pelvic inflammatory disease?:A prospective study

OBJECTIVE: To identify risk factors for pelvic inflammatory disease (PID) in female students. METHODS: We performed a prospective study set in 11 universities and 9 further education colleges in London. In 2004–2006, 2529 sexually experienced, multiethnic, female students, mean age 20.8 years, provided self-taken vaginal samples and completed questionnaires at recruitment to the Prevention of Pelvic Infection chlamydia screening trial. After 12 months, they were followed up by questionnaire backed by medical record search and assessed for PID by blinded genitourinary medicine physicians. RESULTS: Of 2004 (79%) participants who reported numbers of sexual partners during follow-up, 32 (1.6%, 95% CI 1.1% to 2.2%) were diagnosed with PID. The strongest predictor of PID was baseline Chlamydia trachomatis (relative risk (RR) 5.7, 95% CI 2.6 to 15.6). After adjustment for baseline C. trachomatis, significant predictors of PID were ≥2 sexual partners or a new sexual partner during follow-up (RR 4.0, 95% CI 1.8 to 8.5; RR 2.8, 95% CI 1.3 to 6.3), age <20 years (RR 3.3, 95% CI 1.5 to 7.0), recruitment from a further education college rather than a university (RR 2.6,  95% CI 1.3 to 5.3) and history at baseline of vaginal discharge (RR 2.7, 95% CI 1.2 to 5.8) or pelvic pain (RR 4.1, 95% CI 2.0 to 8.3) in the previous six months. Bacterial vaginosis and Mycoplasma genitalium infection were no longer significantly associated with PID after adjustment for baseline C. trachomatis. CONCLUSIONS: Multiple or new partners in the last 12 months, age <20 years and attending a further education college rather than a university were risk factors for PID after adjustment for baseline C. trachomatis infection. Sexual health education and screening programmes could be targeted at these high-risk groups. TRIAL REGISTRATION NUMBER: (ClinicalTrials.gov NCT00115388)

From screen time to the digital level of analysis: a scoping review of measures for digital media use in children and adolescents

Objectives This scoping review aims to facilitate psychometric developments in the field of digital media usage and well-being in young people by (1) identifying core concepts in the area of “screen time” and digital media use in children, adolescents, and young adults, (2) synthesising existing research paradigms and measurement tools that quantify these dimensions, and (3) highlighting important areas of need to guide future measure development.Design A scoping review of 140 sources (126 database, 14 grey literature) published between 2014 and 2019 yielded 162 measurement tools across a range of domains, users, and cultures. Database sources from Ovid MEDLINE, PsycINFO and Scopus were extracted, in addition to grey literature obtained from knowledge experts and organisations relevant to digital media use in children. To be included, the source had to: (1) be an empirical investigation or present original research, (2) investigate a sample/target population that included children or young persons between the ages of 0 and 25 years of age, and (3) include at least one assessment method for measuring digital media use. Reviews, editorials, letters, comments and animal model studies were all excluded.Measures Basic information, level of risk of bias, study setting, paradigm, data type, digital media type, device, usage characteristics, applications or websites, sample characteristics, recruitment methods, measurement tool information, reliability and validity.Results Significant variability in nomenclature surrounding problematic use and criteria for identifying clinical impairment was discovered. Moreover, there was a paucity of measures in key domains, including tools for young children, whole families, disadvantaged groups, and for certain patterns and types of usage.Conclusion This knowledge synthesis exercise highlights the need for the widespread development and implementation of comprehensive, multi-method, multilevel, and multi-informant measurement suites

Prevalence and Clinical Outcomes of Poor Immune Response Despite Virologically Suppressive Antiretroviral Therapy Among Children and Adolescents With Human Immunodeficiency Virus in Europe and Thailand: Cohort Study

BACKGROUND: In human immunodeficiency virus (HIV)-positive adults, low CD4 cell counts despite fully suppressed HIV-1 RNA on antiretroviral therapy (ART) have been associated with increased risk of morbidity and mortality. We assessed the prevalence and outcomes of poor immune response (PIR) in children receiving suppressive ART. METHODS: Sixteen cohorts from the European Pregnancy and Paediatric HIV Cohort Collaboration (EPPICC) contributed data. Children &lt;18 years at ART initiation, with sustained viral suppression (VS) (≤400 copies/mL) for ≥1 year were included. The prevalence of PIR (defined as World Health Organization advanced/severe immunosuppression for age) at 1 year of VS was described. Factors associated with PIR were assessed using logistic regression. Rates of acquired immunodeficiency syndrome (AIDS) or death on suppressive ART were calculated by PIR status. RESULTS: Of 2318 children included, median age was 6.4 years and 68% had advanced/severe immunosuppression at ART initiation. At 1 year of VS, 12% had PIR. In multivariable analysis, PIR was associated with older age and worse immunological stage at ART start, hepatitis B coinfection, and residing in Thailand (all P ≤ .03). Rates of AIDS/death (95% confidence interval) per 100 000 person-years were 1052 (547, 2022) among PIR versus 261 (166, 409) among immune responders; rate ratio of 4.04 (1.83, 8.92; P &lt; .001). CONCLUSIONS: One in eight children in our cohort experienced PIR despite sustained VS. While the overall rate of AIDS/death was low, children with PIR had a 4-fold increase in risk of event as compared with immune responders

Children living with HIV in Europe: do migrants have worse treatment outcomes?

International audienceTo assess the effect of migrant status on treatment outcomes among children living with HIV in Europe

Prevalence and Clinical Outcomes of Poor Immune Response Despite Virologically Suppressive Antiretroviral Therapy Among Children and Adolescents With Human Immunodeficiency Virus in Europe and Thailand: Cohort Study

International audienceIn human immunodeficiency virus (HIV)-positive adults, low CD4 cell counts despite fully suppressed HIV-1 RNA on antiretroviral therapy (ART) have been associated with increased risk of morbidity and mortality. We assessed the prevalence and outcomes of poor immune response (PIR) in children receiving suppressive ART