Predictors of retention in care in HIV-infected patients in a large hospital cohort in Italy

Impact of COVID-19 pandemic on retention in care of native and migrant people with HIV in the ICONA cohort

BACKGROUND

COVID-19 pandemic challenged the UNAIDS 90-90-90 targets. How the COVID-19 pandemic affected HIV retention in care and whether it has disproportionally affected migrant people with HIV (PWH) remained to be investigated.

METHODS

PWH in ICONA Cohort in follow-up in each of the study periods were included: 01/09/2019-29/02/2020 (pandemic period) and 01/03/2018-31/08/2018 (historical period, as a control). Risk of temporary loss to follow-up (LTFU, defined as no data recorded for a person for one year) was analyzed by logistic regression, with migrant status as the main exposure variable. Difference in difference (DID) analysis was applied to evaluate the effect of COVID-19 pandemic in the different risk of LTFU between natives and migrants.

RESULTS

8864 (17.1% migrants) and 8071 (16.8% migrants) PWH constituted the pandemic and the historical period population, respectively. Proportion of PWH defined as LTFU in the pandemic period was 10.5% in native and 19.6% in migrant PWH. After controlling for age, sex and geographical location of enrolling site, risk of temporary LTFU was higher for migrants than native PWH [adjusted odds ratio 1.85 (95%CI 1.54-2.22)] in pandemic period. In PWH contributing to both periods, LTFU was 9.0% (95% CI 8.3-9.8) in natives vs 17.0% (95% CI 14.7-19.4) in migrants during the pandemic. Instead, LTFU was 1.2% (95%CI 0.9, 1.5) in natives vs 2.2% (95% CI 1.3-3.1) in migrants during the historical period, with a resulting DID of 7.0% (95% CI 4.4-9.6).

CONCLUSIONS

A greater proportion of LTFU in migrant PWH was observed in both periods, which remained unaltered over time. Interventions to reduce LTFU of migrants are necessary.

Use of a machine learning model to predict retention in care in an urban HIV clinic

Identifying barriers to retention in care (RIC) is critical to ending the HIV epidemic in the United States. Therefore, we developed a machine learning model (MLM) to identify predictive factors for RIC in an urban HIV clinic. Our MLM yielded a positive predictive value of 84%, higher than previously reported MLMs. We found that MLM can be used to develop interventional strategies to enhance RIC in HIV care.

HIV test-and-treat policy improves clinical outcomes in Zambian adults from Southern Province: a multicenter retrospective cohort study

Background

Globally, most countries have implemented a test-and-treat policy to reduce morbidity and mortality associated with HIV infection. However, the impact of this strategy has not been critically appraised in many settings, including Zambia. We evaluated the retention and clinical outcomes of adults enrolled in antiretroviral therapy (ART) and assessed the impact of the test-and-treat policy.

Methods

We conducted a retrospective cohort study among 6,640 individuals who initiated ART between January 1, 2014 and July 31, 2016 [before test-and-treat cohort (BTT), n = 2,991] and between August 1, 2016 and October 1, 2020 [after test-and-treat cohort (ATT), n = 3,649] in 12 districts of the Southern province. To assess factors associated with retention, we used logistic regression (xtlogit model).

Results

The median age [interquartile range (IQR)] was 34.8 years (28.0, 42.1), and 60.2% (n = 3,995) were women. The overall retention was 83.4% [95% confidence interval (CI) 82.6, 84.4], and it was significantly higher among the ATT cohort, 90.6 vs. 74.8%, p < 0.001. The reasons for attrition were higher in the BTT compared to the ATT cohorts: stopped treatment (0.3 vs. 0.1%), transferred out (9.3 vs. 3.2%), lost to follow-up (13.5 vs. 5.9%), and death (1.4 vs. 0.2%). Retention in care was significantly associated with the ATT cohort, increasing age and baseline body mass index (BMI), rural residence, and WHO stage 2, while non-retention was associated with never being married, divorced, and being in WHO stage 3.

Conclusion

The retention rate and attrition factors improved in the ATT compared to the BTT cohorts. Drivers of retention were test-and-treat policy, older age, high BMI, rural residence, marital status, and WHO stage 1. Therefore, there is need for interventions targeting young people, urban residents, non-married people, and those in the symptomatic WHO stages and with low BMI. Our findings highlight improved ART retention after the implementation of the test-and-treat policy.

Does adherence to antiretroviral therapy differ by place of residence in Nigeria? A systematic review and meta-analysis protocol

INTRODUCTION

Retention in care is still a significant challenge in the HIV treatment cascade and varies extensively across regions, leading to poor adherence to antiretroviral therapy (ART). Several factors across different socioecological levels, such as health and community-level factors, inhibit ART adherence among people living with HIV (PLWH) in Nigeria. This review seeks to ask whether adherence to ART differs by place of residence in Nigeria.

METHOD AND ANALYSIS

This systematic review and meta-analysis will follow the updated Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. We will search PubMed, SCOPUS, CINAHL, Web of Science, MEDLINE (Ovid) and Google Scholar from onset to 30 April 2023. We will include only quantitative observational studies or mixed-method studies that measured the association between place of residence (urban and rural) and adherence to ART among PLWH aged ≥15 years. Title and abstract screening, full-text screening, data extraction and quality assessment will be done by two reviewers independently. A third reviewer will resolve disagreements. We will extract the author's name and year of publication, study aim(s), participant's characteristics, sample size, sampling method, region and state, adherence definition and adherence level in urban and rural areas. Data will be analysed with Review Manager V.5.4. The Q statistical test will be used to assess between-study heterogeneity, while Higgins and Thompson's I² will be used to quantify the heterogeneity level. Several subgroups and sensitivity analyses will be conducted.

ETHICS AND DISSEMINATION

Ethical approval is not warranted for this study since primary published data will be utilised. The findings of this review will be published in a high-impact peer-reviewed journal and presented at a conference.

PROSPERO REGISTRATION NUMBER

CRD42022371965.

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.

Nine ideas to improve the clinical management of HIV infected patients during the COVID-19 pandemic

Globally, in 2019, HIV infection was still responsible for 1.7 million new infections and for 690,000 deaths in the same year. Tailored and new antiretroviral therapy (ART) regimens, individualised follow-up and new technologies to support data-sharing between health-care professional caring for people living with HIV (PLHIV) and to deliver ART to patients are desperately needed to reach the 90-90-90-90 ambitious goals. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, responsible for the Coronavirus-19 (COVID-19) pandemic that spread globally in 2020, posed a huge challenge for PLHIV and HIV physicians worldwide in terms of continuum of care. In this paper we encourage “up-to-date patient-centred HIV medicine” and we give nine ideas to improve HIV management in clinical practice during the COVID-19 pandemic.

Retention in HIV care and factors associated with loss to follow-up in Oman: a countrywide study from the Middle East

We conducted a cross-sectional analysis to determine the rate of retention in HIV care and the factors associated with loss to follow-up (LTFU) among Omani adults living with HIV who were linked to care as of 31 December 2019. Patients (n = 1610) were identified from a central national HIV surveillance dataset. The majority (68.3%) of patients were male, and the median age was 39 years (IQR, 31-48 years). A total of 1480 patient (91.9%) were retained in care. On multivariate analysis, compared to those who received antiretroviral therapy (ART), patients who had never been on ART were 6.8 (95% CI: 3.05-15.16) times more likely to be lost to follow-up. Patients who had a latest HIV viral load (VL) of 200-999 copies/ml (adjusted odds ratio [aOR]: 4.92, 95% CI: 2.27-10.69) and ≥ 1000 copies/ml (aOR: 15.03, 95% CI: 8.31-27.19) compared to those who had a latest HIV VL of <200 copies/ml had higher odds of loss to follow-up. Moreover, patients who were divorced or widowed were 2.64 (95% CI: 1.14-6.07) times more likely to disengage from HIV services, compared to those who were married. These findings will be invaluable in developing targeted interventions that further improve patients' retention in HIV care in Oman.

Injectable Antiretroviral Drugs: Back to the Future

Current HIV treatment regimens provide sustained virologic suppression, at least partially restore the immune system and have limited side effects; however, they do not allow viral eradication and they are burdened by daily pill intake with a life-long commitment for the people living with HIV (PHIV). Injectable agents might represent a turning point in the care of PHIV, allowing less frequent administration of antiretroviral treatment (ART), more widespread use of pre-exposure prophylaxis (PrEP) and more stable drug levels in the blood, thus increasing the odds to get closer to end the HIV pandemic. The aim of this manuscript is to give a comprehensive review of injectable antiretrovirals that have been used in the past, which are available now, will be available in the future, and their role in the treatment of HIV infection

Partial Achievement of the 90-90-90 UNAIDS Target in a Cohort of HIV Infected Patients from Central Italy

BACKGROUND

Despite progress in the prevention and treatment of HIV, persistent issues concerning the evaluation of continuum in care from the serological diagnosis to virologic success remains. Considering the 2020 UNAIDS target 90-90-90 for diagnosis, treatment, and viral suppression of people living with HIV (PLWH), our purpose was to verify if, starting from new diagnoses, the viral suppression rate of our cohort of new PLWH satisfied the second and the third steps.

METHODS

This retrospective study regards all patients aged ≥15 undergoing HIV test at our clinic between January 2005 and December 2017. We evaluated the second and the third '90 UNAIDS targets and the unclaimed tests, linkage to care, retention in ART, and the viral suppression at 1 and 2 years. Logistic regression (odds ratio, 95% confidence interval) was performed.

RESULTS

We observed 592 new diagnoses for HIV infection: 61.4% on Italians, 38.5% on foreigners. An antiretroviral treatment was started on 78.8% of the new diagnoses (467/592) (second UNAIDS target), and a viral suppression was obtained at 2 years on 82% of PLWH who had started ART (383/467) (third UNAIDS target), namely only 64.7% of the new diagnoses instead of the hoped-for 81% of the UNAIDS target. Logistic regressions demonstrated that second and third '90 UNAIDS targets were unrelated to sex, nationality, CD4 cells count, HIV-RNA and CDC stage (p>0.05). The age class 25-50 years (OR=2.24; 95% CI = 1.06-4.37; p=0.04) achieves more likely viral suppression when compared with patients <25 years. Considering the continuum of care, 88 (15%) PLWH were lost to engagement in care (55 unclaimed tests and 33 unlinked to care), 37 didn't start ART, 51 were LFTU at 2 years.

CONCLUSIONS

UNAIDS goal was far to be reached. The main challenges were unreturned tests as well as the retention in ART. Rapid tests for a test-treat strategy and frequent phone communications in the first ART years could facilitate UNAIDS target achievement.

Disengagement and reengagement of HIV continuum of care in a single center cohort in northern Italy

Background: Despite the progress in HIV care, adherence to follow up remains critical. Disengagement impairs the benefit of HIV care and the increasing number of data that associates failed retention with worse outcomes has led public health institutions to consider retention in care as a new tool to fight against HIV pandemic. Objective: The aim of this retrospective, observational study was to estimate the burden of disengagement and reengagement in care in our HIV cohort and to identify the characteristics of our LTFU and reengaged patients. Moreover, we build our cascade of care to explore how closely our center aligned with the "90-90-90" targets. Methods: From the local electronic database we extracted all HIV-infected patients with at least one contact with HIV Clinic between 2012 and 2018 excluding deceased and transferred patients. Our definition of LTFU was based on the lack of any visit during at least 1 year after the last visit. Patients re-engaged were defined as those firstly considered as LTFU patients who subsequently were newly linked to HIV care. Results: About 8% of patients were lost to follow up during the period of study, with a rate of less than 2% per year and 14.1% of them were re-engaged in care. The cascade of care shows, among HIV cases diagnosed between 2011 and 2018, 86.7% patients retained in care, 94.1% of whom were on cART and 95.6% of whom were virologically suppressed. A higher attrition was found among infections diagnosed since 2011 than before 2011, such as women, patients coming from foreign countries and those with poor virological control. Conclusions: The retention rate found in our cohort is high and is in accordance with the 90-90-90 strategy. Nevertheless, understanding disengagement and re-engagement determinants is important to strengthen retention in care in the most fragile population.

Continuum of care among HIV-1 positive patients in a single center in Italy (2007-2017)

AIM

This study aimed to determine rates of retention in care, viral suppression, and use of antiretroviral therapy (ART) and identify risk factors for loss to follow-up (FU) in an adult cohort from a tertiary teaching hospital in Florence, Italy.

METHODS

We included all newly diagnosed HIV-infected patients aged >18 years who were linked to our clinic from July 2007 to December 2015. On July 31, 2017, we evaluated the proportion of patients retained in care, on ART, and having HIV RNA <50 copies/mL. We assessed predictors of loss to FU through univariate and multivariate analyses.

RESULTS

We included 423 patients. By July 2017, 23 (5.5%) patients died, 25 (5.9%) moved to a different center, and 64 (15.1%) were lost to follow-up. Among the remaining 311 patients (73.5%), 96.5% were on ART and 95% had HIV RNA <50 copies/mL. After adjustment for sex, age at diagnosis, origin, and risk of transmission, our results showed a lower retention rate in those not on ART at the end of the follow-up (adjusted HR [aHR]: 10.33, 95% CI 5.80-18.40, P<0.001), non-Italians (aHR: 1.69, 95% CI: 0.99-2.89, P=0.054) and <35 years old (aHR: 1.85; 95% CI 1.04-3.30, P=0.037).

CONCLUSION

In our hospital in Florence, we found a gap in retention in care among foreigners, people <35 years old, and those who were not in treatment at the end of the follow-up. The results of this study may help to identify opportunities for appropriate future interventions.