An adapted algorithm for patient engagement in care for young people living with perinatal HIV in England

BACKGROUND: Evidence suggests that engagement in care (EIC) may be worse in young people living with perinatal HIV (YPLPHIV) compared to adults or children living with HIV. We took a published EIC algorithm for adults with HIV, which takes patients’ clinical scenarios into account, and adapted it for use in YPLPHIV in England, to measure their EIC. METHODS: The adult algorithm predicts when in the next 6 months the next clinic visit should be scheduled, based on routinely collected clinical indicators at the current visit. We updated the algorithm based on the latest adult guidelines at the time, and modified it for young people in paediatric care using the latest European paediatric guidelines. Paediatric/adolescent HIV consultants from the UK reviewed and adapted the resulting flowcharts. The adapted algorithm was applied to the Adolescent and Adults Living with Perinatal HIV (AALPHI) cohort in England. Data for 12 months following entry into AALPHI were used to predicted visits which were then compared to appointment attendances, to measure whether young people were in care in each month. Proxy markers (e.g. dates of CD4 counts, viral loads (VL)) were used to indicate appointment attendance. RESULTS: Three hundred sixteen patients were in AALPHI, of whom 41% were male, 82% of black African ethnicity and 58% born abroad. At baseline (time of AALPHI interview) median [IQR] age was 17 [15–18] years, median CD4 was 597 [427, 791] cells/µL and 69% had VL ≤50c/mL. 10 patients were dropped due to missing data. 306 YPLPHIV contributed 3,585 person months of follow up across the 12 month study in which a clinic visit was recorded for 1,204 months (38/1204 dropped due to missing data). The remaining 1,166 months were classified into 3 groups: Group-A: on ART, VL ≤ 50c/mL—63%(734/1,166) visit months, Group-B: on ART, VL > 50c/mL—27%(320/1,166) Group-C: not on ART-10%(112/1,166). Most patients were engaged in care with 87% (3,126/3,585) of months fulfilling the definition of engaged in care. CONCLUSIONS: The adapted algorithm allowed the varying clinical scenarios of YPLPHIV to be taken into account when measuring EIC. However availability of good quality surveillance data is crucial to ensure that EIC can be measured well

Episodic medication adherence in adolescents and young adults with perinatally acquired HIV:a within participants approach

Due to the success of antiretroviral (ART) medications, young people living with perinatally acquired HIV (PHIV+) are now surviving into adolescence and young adulthood. Understanding factors influencing ART non-adherence in this group is important in developing effective adherence interventions. Most studies of ART adherence in HIV-positive populations assess differences in adherence levels and adherence predictors between participants, over a period of time (global adherence). Many individuals living with HIV, however, including PHIV+ young people, take medication inconsistently. To investigate this pattern of adherence, a within-participants design, focussing on specific episodes of adherence and non-adherence, is suitable (episodic adherence). A within-participants design was used with 29 PHIV+ young people (17 female, median age 17 years, range 14–22 years), enrolled in the UK Adolescents and Adults Living with Perinatal HIV cohort study. Participants were eligible if they could identify one dose of medication taken and one dose they had missed in the previous two months. For each of the two episodes (one adherent, one non-adherent), behavioural factors (whom they were with, location, routine, day, reminders) and psychological factors at the time of the episode (information about medication, adherence motivation, perceived behavioural skills to adhere to medication – derived from the Information-Motivation-Behavioural Skills (IMB) Model – and affect) were assessed in a questionnaire. Non-adherence was significantly associated with weekend days (Friday to Sunday versus Monday to Thursday, p = .001), lack of routine (p = .004), and being out of the home (p = .003), but not with whom the young person was with or whether they were reminded to take medication. Non-adherence was associated with lower levels of behavioural skills (p < .001), and lower positive affect (p = .005). Non-adherence was not significantly associated with negative affect, information about ART, or ART motivation. The use of situationally specific strategies to enhance adherence in young people who take their medication inconsistently is proposed

Experiences of transition to adult care and readiness to self-manage care in young people with perinatal HIV in England

Background: There are few data on young people’s own experiences of transferring from paediatric to adult care, or readiness to self-manage care. Methods: A total of 132 young people living with perinatal HIV, aged 14–25 years, answered questions about transition experiences. Results: Of the participants, 45 (34%), with a median age of 16 (interquartile range [IQR] 16–17), were in paediatric care, of whom 89% reported that transition discussions had begun, at median age 15 (IQR 14–16) years. Young people in adult care were more likely than those in paediatric care to self manage appointments (90% vs 42% respectively, P < 0.001), and know their antiretroviral therapy (ART) drugs (55% vs 37%, P = 0.033). Knowledge of most recent CD4 T cell count/VL was slightly better for those in adult care (48% vs 31%, P = 0.059); naming side effects of ART was similar (71% vs 60%, P = 0.119). Conclusions: Transition discussions occurred before movement from paediatric to adult care. Further education around ART, potential side effects, and CD4 T cell count/viral load knowledge is required

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

Cognitive Function in Young Persons With and Without Perinatal HIV in the AALPHI Cohort in England: Role of Non–HIV-Related Factors

Background. There is limited evidence about the cognitive performance of older adolescents with perinatally acquired human immunodeficiency virus (HIV) compared with HIV-negative (HIV−) adolescents. Methods. A total of 296 perinatally HIV-infected (PHIV+) and 97 HIV− adolescents (aged 12–21 and 13–23 years, respectively) completed 12 tests covering 6 cognitive domains. The HIV− participants had PHIV+ siblings and/or an HIV-infected mother. Domain-specific and overall (NPZ-6) z scores were calculated for PHIV+ participants, with or without Centers for Disease Control and Prevention (CDC) stage C disease, and HIV− participants. Linear regression was performed to explore predictors of NPZ-6. Results. One hundred twenty-five (42%) of the PHIV+ and 31 (32%) of the HIV− participants were male; 251 (85%) and 69 (71%), respectively, were black African; and their median ages (interquartile range) were 16 (15–18) and 16 (14–18) years, respectively. In PHIV+ participants, 247 (86%) were receiving antiretroviral therapy, and 76 (26%) had a previous CDC C diagnosis. The mean (standard deviation) NPZ-6 score was −0.81 (0.99) in PHIV+ participants with a CDC C diagnosis (PHIV+/C), −0.45 (0.80) in those without a CDC C diagnosis (PHIV+/no C), and −0.32 (0.76) in HIV− participants (P < .001). After adjustment, there was no difference in NPZ-6 scores between PHIV+/no C and HIV− participants (adjusted coefficient, −0.01; 95% confidence interval, −.22 to .20). PHIV+/C participants scored below the HIV− group (adjusted coefficient, −0.44; −.70 to −.19). Older age predicted higher NPZ-6 scores, and black African ethnicity and worse depression predicted lower NPZ-6 scores. In a sensitivity analysis including PHIV+ participants only, no HIV-related factors apart from a CDC C diagnosis were associated with NPZ-6 scores. Conclusions. Cognitive performance was similar between PHIV+/no C and HIV− participants and indicated relatively mild impairment compared with normative data. The true impact on day-to-day functioning needs further investigation

Self-harm in young people with perinatal HIV and HIV negative young people in England: cross sectional analysis.

BACKGROUND: Self-harm in adolescents is of growing concern internationally but limited evidence exists on the prevalence of self-harm in those living with HIV, who may be at higher risk of poor mental health outcomes. Therefore our aim was to determine the prevalence and predictors of self-harm among young people with perinatally-acquired HIV (PHIV) and HIV negative (with sibling or mother living with HIV) young people living in England. METHODS: 303 PHIV and 100 HIV negative young people (aged 12-23 years) participating in the Adolescents and Adults Living with Perinatal HIV cohort study completed an anonymous self-harm questionnaire, as well as a number of standardised mental-health assessments. Logistic regression investigated predictors of self-harm. RESULTS: The median age was 16.7 years in both groups, and 40.9% of the PHIV and 31.0% of the HIV negative groups were male. In total 13.9% (56/403) reported having ever self-harmed, with no difference by HIV status (p = 0.089). Multivariable predictors of self-harm were female sex (adjusted odds ratio (AOR) 5.3, (95% confidence interval 1.9, 14.1), p = 0.001), lower self-esteem (AOR 0.9 (0.8, 0.9) per 1 point increase, p < 0.001) and having ever used alcohol (AOR 3.8 (1.8, 7.8), p < 0.001). Self-esteem z-scores for both PHIV and HIV negative participants were 1.9 standard deviations below the mean for population norms. CONCLUSIONS: Self-harm is common among PHIV and HIV negative adolescents in England. Reassuringly however, they do not appear to be at an increased risk compared to the general adolescent population (15-19% lifetime prevalence). The low level of self-esteem (compared to available normative data) in both groups is worrying and warrants further attention

Factors associated with engagement in HIV care for young people living with perinatally acquired HIV in England: An exploratory observational cohort study.

Identifying which young people living with perinatally acquired HIV (PHIV) are less likely to engage in care is crucial to allow targeted interventions to support them to attend clinic. We adapted an existing Engagement in Care (EIC) algorithm for adults with HIV in England, for use in young people. We applied it to data from young people with PHIV in the Adolescents and Adults Living with Perinatal HIV (AALPHI) cohort. The algorithm predicts the timing of the next scheduled clinic visit, within 1-6 months of current visit, based on routine clinical data. Follow-up was 12-months from AALPHI baseline interview. Each person-month was classified as engaged in care or not. Logistic regression models (allowing for clustered data) were used to explore baseline characteristics associated with being engaged in care, adjusting for a priori variables (time from interview, sex, age, ethnicity, country of birth). Potential characteristics were across 7 domains: sociodemographic; risk behaviour practices; mental health; cognition; clinic setting; HIV management and experience; and HIV clinical markers. Of 316 young people, 187(59%) were female, 271(86%) of black ethnicity and 184(58%) born abroad. At baseline, median [IQR] age was 17[15-18] years, and 202(69%) had viral load ≤50 copies/ml(c/mL). 87% of 3,585 person-months were classified as engaged in care. Characteristics independently associated with poorer odds of being engaged in care were: Asian/mixed/other ethnicity, vs. black ethnicity (OR 0.44, 95% CI 0.25, 0.78, p = 0.02); ever self-harmed, vs. not (OR 0.55, 95% CI 0.32, 0.95, p = 0.03); on antiretroviral therapy (ART) and self-assessed bad/not so good adherence (OR 0.46, 95% CI 0.25, 0.84) or not on ART (OR 0.64, 95% CI 0.64, 1.21) vs. on ART and good/excellent adherence (p = 0.04)); baseline VL>50c/mL, vs VL≤50c/mL (OR 0.47, 95% CI 0.30, 0.75, p = 0.002). These characteristics can help identify individuals requiring enhanced support to maintain service engagement

Sexual health of young people with perinatal HIV and HIV negative young people in England.

As adolescents with perinatal HIV (PHIV) survive into adulthood, gaining insight into sexual behaviour and risk-taking is important. Between 2013-2015, 296 PHIV aged 13-21 years and 96 HIV negative affected adolescents (13-23 years) were recruited to the Adolescents and Adults Living with Perinatal HIV (AALPHI) cohort in England. Sexual health data were collected through computer-assisted self-interview questionnaires. Quality of life and household deprivation were also measured. T-tests compared means, and χ2 proportions; logistic regression examined predictors of ever having sex. 120(41%) PHIV and 31(32%) HIV- young people were male, 254(86%) and 70(73%) were black, median age 16 [IQR 15,18] and 16 [14,18] years respectively. 77(26%) PHIV had a previous AIDS diagnosis. 93(32%) PHIV and 38(40%) HIV- had ever had sex; median number of partners was 3 [1,6] and 4 [1,6] respectively. 54 (41%) of 131 young people who were sexually active reported not always using condoms, including 32% (30/93) of PHIV. In multivariable analysis, older age, male sex, worse deprivation score, worse quality of life, and alcohol and/or drugs were associated with ever having sex, but not HIV status. 12/30 PHIV reporting unprotected sex had at least one HIV viral load ≥200c/ml in the previous 12 months. Age at first sex and number of sexual partners were similar among PHIV and HIV-, and comparable to normative data. In conclusion, small numbers of PHIV reported condomless sex with a detectable viral load, which could result in HIV transmission, indicating the need for targeted sexual health and ART adherence interventions for young people with perinatal HIV

Comparative study showed that children faced a 78% higher risk of new-onset conditions after they had COVID-19

Aim: Children have largely been unaffected by severe COVID-19 compared to adults, but data suggest that they may have experienced new conditions after developing the disease. We compared outcomes in children who had experienced COVID-19 and healthy controls.Methods: A retrospective nested cohort study assessed the incidence rate of new-onset conditions after COVID-19 in children aged 0-14 years. Data were retrieved from an Italian paediatric primary care database linked to Veneto Region registries. Exposed children with a positive nasopharyngeal swab were matched 1:1 with unexposed children who had tested negative. Conditional Cox regression was fitted to estimate the adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for the exposure and outcome associations after adjusting for covariates.Results: We compared 1656 exposed and 1656 unexposed children from 1 February 2020 to 30 November 2021. The overall excess risk for new-onset conditions after COVID-19 was 78% higher in the exposed than unexposed children. We found significantly higher risks for some new conditions in exposed children, including mental health issues (aHR 1.8, 95% CI 1.1-3.0) and neurological problems (aHR 2.4, 95% CI 1.4-4.1).Conclusion: Exposed children had a 78% higher risk of developing new conditions of interest after COVID-19 than unexposed children