Characteristics and consequences of medical care interruptions in HIV-infected patients in France

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.

HIV medical care interruption among people living with HIV in Spain, 2004-2020

OBJECTIVE

We estimated the incidence rate of HIV medical care interruption (MCI) and its evolution over a 16-year-period, and identified associated risk factors among HIV-positive individuals from the Cohort of the Spanish AIDS Research Network in 2004-2020.

DESIGN

We included antiretroviral-naive individuals aged at least 18 years at enrolment, recruited between January 1, 2004, and August 30, 2019, and followed-up until November 30, 2020.

METHODS

Individuals with any time interval of at least 15 months between two visits were defined as having a MCI. We calculated the incidence rate (IR) of having at least one MCI and used multivariable Poisson regression models to identify associated risk factors.

RESULTS

Of 15 274 individuals, 5481 (35.9%) had at least one MCI. Of those, 2536 (46.3%) returned to HIV care after MCI and 3753 (68.5%) were lost to follow-up at the end of the study period. The incidence rate (IR) of MCI was 7.2/100 person-years (py) [95% confidence interval (CI): 7.0-7.4]. The annual IR gradually decreased from 20.5/100 py (95% CI: 16.4-25.6) in 2004 to 4.9/100 py (95% CI: 4.4-5.5) in 2014, a slight increase was observed between 2015 and 2018, reaching 9.3/100 py (95% CI: 8.6-10.2) in 2019. Risk factors for MCI included younger age, lower educational level, having contracted HIV infection through injecting drug use or heterosexual intercourse, having been born outside of Spain, and CD4 + cell count >200 cell/μl, viral load <100 000 and co-infection with hepatitis C virus at enrolment.

CONCLUSIONS

Around a third of individuals had at least one MCI during the follow-up. Identified predictors of MCI can help health workers to target and support most vulnerable individuals.

Incidence and risk factors for medical care interruption in people living with HIV in a French provincial city

OBJECTIVES

The aim of our study was to identify HIV-positive patients at risk of medical care interruption (MCI) in a provincial city of a high-income country.

METHODS

We estimated the incidence rate of MCI in 989 individuals followed in an HIV clinic in Caen University Hospital, Normandy, France, between January 2010 and May 2016. We enrolled patients over 18 years old who were seen at the clinic at least twice after HIV diagnosis. Patients were considered to be in MCI if they did not attend care in or outside the clinic for at least 18 months, regardless of whether or not they came back after interruption. We investigated sociodemographic, clinical and immunovirological characteristics at HIV diagnosis and during follow-up through a Cox model analysis.

RESULTS

The incidence rate of MCI was estimated to be 3.0 per 100 persons-years (95% confidence interval [CI] = 2.6-3.5). The independent risk factors for MCI were a linkage to care >6 months after HIV diagnosis (hazard ratio [HR] = 1.14; 95% CI = 1.08-1.21), a hepatitis C coinfection (HR = 1.76; 95% CI = 1.07-2.88), being born in Sub-Saharan Africa (HR = 2.18; 95% CI = 1.42-3.34 vs. in France) and not having a mailing address reported in the file (HR = 1.73; 95% CI = 1.07-2.80). During follow-up, the risk of MCI decreased when the patient was older (HR = 0.28; 95% CI = 0.15-0.51 when >45 vs. ≤ 30 years old) and increased when the patient was not on antiretroviral therapy (HR = 2.78; 95% CI = 1.66-4.63).

CONCLUSIONS

Our findings show that it is important to link HIV-positive individuals to care quickly after diagnosis and initiate antiretroviral therapy as soon as possible to retain them in care.

Too fast to stay on track? Shorter time to first anti-retroviral regimen is not associated with better retention in care in the French Dat'AIDS cohort

BACKGROUND

Rapid antiretroviral therapy (ART) initiation has been proven beneficial for patients and the community. We aimed to analyze recent changes in timing of ART initiation in France and consequences of early start.

METHODS

We selected from a prospective nationwide cohort, on 12/31/2017, patients with HIV-1 infection diagnosed between 01/01/2010 and 12/31/2015. We described time from (1) diagnosis to first specialized medical encounter, (2) from this encounter to ART initiation, (3) from diagnosis to first undetectable HIV viral load (VL). We analyzed the determinants of measured temporal trends. A multivariate logistic regression was performed to assess characteristics related with 1-year retention in care.

RESULTS

In the 7 245 included patients, median time (1) from HIV diagnosis to first medical encounter was 13 (IQR: 6-32) days, (2) to ART initiation was 27 (IQR: 9-91) days, decreasing from 42 (IQR: 13-272) days in 2010 to 18 (IQR: 7-42) in 2015 (p<0.0001), (3) to first undetectable VL was 257 (IQR: 151-496) days, decreasing from 378 (IQR: 201-810) days in 2010 to 169 (IQR: 97-281) in 2015. After one year, proportion of patients alive and still in care was significantly lower in those in the lower quartile of time from first encounter to ART (<9 days) than those in the higher quartile (>90 days), 79.9% and 85.2%, respectively (p<0.0001).

CONCLUSIONS

In a country with unrestricted rapid access to ART, keeping recently diagnosed HIV infected patients in care remains challenging. Starting ART rapidly did not seem to be profitable for all and every patient.

Incidence of and risk factors for medical care interruption in people living with HIV in recent years

Objectives

With HIV treatment as a prevention strategy, retention in care remains a key for sustained viral suppression. We sought to identify HIV-infected patients at risk for medical care interruption (MCI) in a high-income country.

Methods

The HIV-infected patients enrolled had to attend the clinic at least twice between January 2010 and October 2014 and were followed up until May 2016. MCI was defined as patients not seeking care in or outside the clinic for at least 18 months, regardless of whether they returned to care after the interruption. The association between MCI and sociodemographic, clinical, and immuno-virological characteristics at HIV diagnosis and during follow-up was assessed using Cox models.

Results

The incidence rate of MCI was 2.5 per 100 persons-years (95% confidence interval [CI] = 2.3–2.7). MCI was more likely in patients who accessed care >6 months after diagnosis (hazard ratio [HR] = 1.30, 95% CI = 1.10–1.54 vs. ≤6 months) or did not report a primary care physician (HR = 2.40; 95% CI = 2.03–2.84). MCI was less likely in patients born in sub-Saharan Africa (HR = 0.75, 95% CI = 0.62–0.91 vs. born in France). During follow-up, the risk of MCI increased when the last CD4 count was ≤350 (HR = 2.85, 95% CI = 2.02–4.04 vs. >500 cells/mm³) and when the patient was not on antiretroviral therapy (HR = 3.67, 95% CI = 2.90–4.66).

Conclusions

The incidence of MCI is low in this hospital that serves a large proportion of migrants. Low or no recorded CD4 counts for a medical visit could alert of a higher risk of MCI, even more in patients who accessed HIV care late or did not report a primary care physician.

Association between engagement in-care and mortality in HIV-positive persons

Objective:

To assess associations between engagement in-care and future mortality.

Design:

UK-based observational cohort study.

Methods:

HIV-positive participants with more than one visit after 1 January 2000 were identified. Each person-month was classified as being in or out-of-care based on the dates of the expected and observed next care visits. Cox models investigated associations between mortality and the cumulative proportion of months spent in-care (% IC, lagged by 1 year), and cumulative %IC prior to antiretroviral therapy (ART) in those attending clinic for more than 1 year, with adjustment for age, CD4⁺/viral load, year, sex, infection mode, ethnicity, and receipt/type of ART.

Results:

The 44 432 individuals (27.8% women; 50.5% homosexual, 28.9% black African; median age 36 years) were followed for a median of 5.5 years, over which time 2279 (5.1%) people died. Higher %IC was associated with lower mortality both before [relative hazard 0.91 (95% confidence interval 0.88–0.95)/10% higher, P = 0.0001] and after [0.90 (0.87–0.93), P = 0.0001] adjustment. Adjustment for future CD4⁺ changes revealed that the association was explained by poorer CD4⁺ cell counts in those with lower %IC. In total 8730 participants under follow-up for more than 1 year initiated ART of whom 237 (2.7%) died. Higher values of %IC prior to ART initiation were associated with a reduced risk of mortality before [0.29 (0.17–0.47)/10%, P = 0.0001] and after [0.36 (0.21–0.61)/10%, P = 0.0002] adjustment; the association was again explained by poorer post-ART CD4⁺/ viral load in those with lower pre-ART %IC.

Conclusions:

Higher levels of engagement in-care are associated with reduced mortality at all stages of infection, including in those who initiate ART.