Cardiovascular Disease Risk Factor Control in People With and Without HIV

BACKGROUND

Management of hypertension, dyslipidemia, diabetes and other modifiable factors may mitigate the cardiovascular disease (CVD) risk in people with human immunodeficiency virus (HIV, PWH) compared with people without HIV (PWoH).

METHODS

This was a retrospective cohort study of 8285 PWH and 170 517 PWoH from an integrated health system. Risk factor control was measured using a novel disease management index (DMI) accounting for amount/duration above treatment goals (0% to 100% [perfect control]), including 2 DMIs for hypertension (diastolic and systolic blood pressure), 3 for dyslipidemia (low-density lipoprotein, total cholesterol, triglycerides), and 1 for diabetes (HbA1c). CVD risk by HIV status was evaluated overall and in subgroups defined by DMIs, smoking, alcohol use, and overweight/obesity in adjusted Cox proportional hazards models.

RESULTS

PWH and PWoH had similar DMIs (80%-100%) except for triglycerides (worse for PWH) and HbA1c (better for PWH). In adjusted models, PWH had an elevated risk of CVD compared with PWoH (hazard ratio [HR], 1.18; 95% confidence interval [CI], 1.07-1.31). This association was attenuated in subgroups with controlled dyslipidemia and diabetes but remained elevated for PWH with controlled hypertension or higher total cholesterol. The strongest HIV status association with CVD was seen in the subgroup with frequent unhealthy alcohol use (HR, 2.13; 95% CI, 1.04-4.34).

CONCLUSIONS

Control of dyslipidemia and diabetes, but not hypertension, attenuated the HIV status association with CVD. The strong association of HIV and CVD with frequent unhealthy alcohol use suggests enhanced screening and treatment of alcohol problems in PWH is warranted.

Factors associated with suicidal ideation among people with HIV engaged in care

BACKGROUND

People with HIV (PWH) are at elevated risk for suicidal ideation (SI), yet few studies have examined how substance use, clinical and sociodemographic factors are associated with SI among PWH.

METHOD

We used substance use (Tobacco, Alcohol, Prescription Medication, and Other Substance Use [TAPS]) and depression (PHQ-9) data from computerized screening of adult PWH in primary care clinics in Northern California, combined with health record data on psychiatric diagnoses, HIV diagnosis, treatment, and control (HIV RNA, CD4), insurance, and neighborhood deprivation index (NDI) to examine factors associated with SI (PHQ-9 item 9 score > 0). Adjusted odds ratios (aOR) for SI were obtained from logistic regression models.

RESULTS

Among 2829 PWH screened (92 % male; 56 % white; mean (SD) age of 54 (13) years; 220 (8 %) reported SI. Compared with no problematic use, SI was higher among those reporting one (aOR = 1.65, 95 % CI = 1.17, 2.33), two (aOR = 2.23, 95 % CI = 1.42, 3.49), or ≥ 3 substances (aOR = 4.49, 95 % CI = 2.41, 8.39). SI risk was higher for those with stimulant use (aOR = 3.55, 95 % CI = 2.25, 5.59), depression (aOR = 4.18, 95 % CI = 3.04, 5.74), and anxiety diagnoses (aOR = 1.67, 95 % CI = 1.19, 2.34), or Medicaid (aOR = 2.11, 95%CI = 1.24, 3.60) compared with commercial/other insurance. SI was not associated with HIV-related measures or NDI.

LIMITATIONS

SI was assessed with a single PHQ-9 item. Simultaneous SI and exposure data collection restricts the ability to establish substance use as a risk factor.

CONCLUSIONS

HIV care providers should consider multiple substance use, stimulant use, depression or anxiety, and public insurance as risk factors for SI and provide interventions when needed.

Using Electronic Health Records to Improve HIV Preexposure Prophylaxis Care: A Randomized Trial

BACKGROUND

Preexposure prophylaxis (PrEP) use remains limited and inequitable, and strategies are needed to improve PrEP provision in primary care.

METHODS

We conducted a cluster randomized trial at Kaiser Permanente, San Francisco, to evaluate the effectiveness of a clinical decision support intervention guided by an electronic health record (EHR)-based HIV risk prediction model to improve PrEP provision. Primary care providers (PCPs) were randomized to usual care or intervention, with PCPs who provide care to people with HIV balanced between arms. PCPs in the intervention arm received an EHR-based staff message with prompts to discuss HIV prevention and PrEP before upcoming in-person or video visits with patients whose predicted 3-year HIV risk was above a prespecified threshold. The main study outcome was initiation of PrEP care within 90 days, defined as PrEP discussions, referrals, or prescription fills.

RESULTS

One hundred twenty-one PCPs had 5051 appointments with eligible patients (2580 usual care; 2471 intervention). There was a nonsignificant increase in initiation of PrEP care in the intervention arm (6.0% vs 4.5%, HR 1.32, 95% CI: 0.84 to 2.1). There was a significant interaction by HIV provider status, with an intervention HR of 2.59 (95% CI: 1.30 to 5.16) for HIV providers and 0.89 (95% CI: 0.59 to 1.35) for non-HIV providers (P-interaction <0.001).

CONCLUSION

An EHR-based intervention guided by an HIV risk prediction model substantially increased initiation of PrEP care among patients of PCPs who also care for people with HIV. Higher-intensity interventions may be needed to improve PrEP provision among PCPs less familiar with PrEP and HIV care.

Initial antiretroviral therapy regimen and risk of heart failure

OBJECTIVES

Heart failure risk is elevated in people with HIV (PWH). We investigated whether initial antiretroviral therapy (ART) regimens influenced heart failure risk.

DESIGN

Cohort study.

METHODS

PWH who initiated an ART regimen between 2000 and 2016 were identified from three integrated healthcare systems. We evaluated heart failure risk by protease inhibitor, nonnucleoside reverse transcriptase inhibitors (NNRTI), and integrase strand transfer inhibitor (INSTI)-based ART, and comparing two common nucleotide reverse transcriptase inhibitors: tenofovir disoproxil fumarate (tenofovir) and abacavir. Follow-up for each pairwise comparison varied (i.e. 7 years for protease inhibitor vs. NNRTI; 5 years for tenofovir vs. abacavir; 2 years for INSTIs vs. PIs or NNRTIs). Hazard ratios were from working logistic marginal structural models, fitted with inverse probability weighting to adjust for demographics, and traditional cardiovascular risk factors.

RESULTS

Thirteen thousand six hundred and thirty-four PWH were included (88% men, median 40 years of age; 34% non-Hispanic white, 24% non-Hispanic black, and 24% Hispanic). The hazard ratio (95% CI) were: 2.5 (1.5-4.3) for protease inhibitor vs. NNRTI-based ART (reference); 0.5 (0.2-1.8) for protease inhibitor vs. INSTI-based ART (reference); 0.1 (0.1-0.8) for NNRTI vs. INSTI-based ART (reference); and 1.7 (0.5-5.7) for tenofovir vs. abacavir (reference). In more complex models of cumulative incidence that accounted for possible nonproportional hazards over time, the only remaining finding was evidence of a higher risk of heart failure for protease inhibitor compared with NNRTI-based regimens (1.8 vs. 0.8%; P  = 0.002).

CONCLUSION

PWH initiating protease inhibitors may be at higher risk of heart failure compared with those initiating NNRTIs. Future studies with longer follow-up with INSTI-based and other specific ART are warranted.

Changes in Body Mass Index Over Time in People With and Without HIV Infection

Background

Excess weight gain is an important health concern among people with HIV (PWH) on antiretroviral therapy (ART). The extent to which ART contributes to body mass index (BMI) changes is incompletely understood.

Methods

We conducted a retrospective study of PWH initiating ART and demographically matched people without HIV (PWoH). Data on baseline BMI (kg/m2; categorized as underweight/normal, overweight, or obese) and ART class (integrase strand transfer inhibitor [INSTI], non-nucleoside reverse transcriptase inhibitor [NNRTI], protease inhibitor [PI]) were obtained from electronic health records. BMI was evaluated longitudinally using piecewise linear splines in mixed effects models by HIV status, baseline BMI, and ART class. Models were adjusted for sociodemographics, comorbidities, and substance use.

Results

The study included 8256 PWH and 129 966 PWoH (mean baseline age, 40.9 and 42.2 years, respectively; 88% men). In adjusted models, the average annual change in BMI in the first 2 years after ART initiation was 0.53 for PWH and 0.12 for PWoH (P < .001). BMI increases among PWH were observed for all ART classes: 0.69 for INSTIs, 0.69 for PIs, and 0.40 for NNRTIs vs 0.12 among PWoH. For PWH initiating INSTIs, BMI increases were observed regardless of baseline BMI. Overall BMI changes >2 years after ART initiation were similar by HIV status (0.02 average annual increase for PWH and PWoH).

Conclusions

PWH initiating ART gained excess weight in the first 2 years, emphasizing the importance of monitoring weight and cardiometabolic health among ART-treated PWH.

Racial, ethnic, and age disparities in the association of mental health symptoms and polysubstance use among persons in HIV care

We characterized polysubstance use burden and associations with mental health problems across demographic subgroups of PWH. In 2018-2020, as part of a primary care-based intervention study, PWH in care at three medical centers in Kaiser Permanente Northern California were screened for depression (PHQ-9≥10), anxiety (GAD-2≥3), and substance use (Tobacco, Alcohol, Prescription medication, and other Substance use [TAPS]≥1 per substance). We used Poisson regression to estimate prevalence ratios (PRs) comparing polysubstance use prevalence (TAPS≥1 for ≥2 substances) between PWH with positive screens for depression or anxiety vs. neither, among all PWH, and stratified by race/ethnicity and age (restricted to men), adjusting for sociodemographics, CD4, and HIV load. Screened PWH (N = 2865) included 92% men, 56% White, 19% Black, and 15% Hispanic PWH, with a median age of 55 years. Overall, polysubstance use prevalence was 26.4% (95% CI 24.9%-28.1%). PWH with depression or anxiety (n = 515) had an adjusted polysubstance use PR of 1.26 (1.09-1.46) vs. PWH with neither (n = 2350). Adjusted PRs were 1.47 (1.11-1.96), 1.07 (0.74-1.54), and 1.10 (0.85-1.41) among Black, Hispanic, and White men, respectively. Adjusted PRs did not differ by age group. Interventions should consider jointly addressing mental health and substance use problems and potential drivers, e.g. stigma or socioeconomic factors.

Undiagnosed Cognitive Impairment and Impact on Instrumental Activities of Daily Living Among People With HIV Infection in Primary Care

Background

Little is known about the prevalence of undiagnosed cognitive impairment and its impact on instrumental activities of daily living (IADL) among people with HIV (PWH) in primary care.

Methods

PWH were recruited from an integrated health care setting in the United States. PWH were eligible for recruitment if they were ≥50 years old, taking antiretroviral therapy (ie, ≥1 antiretroviral therapy [ART] prescription fill in the past year), and had no clinical diagnosis of dementia. Participants completed a cognitive screen (St. Louis University Mental Status exam) and a questionnaire on IADL (modified Lawton-Brody).

Results

Study participants (n = 47) were mostly male (85.1%), 51.1% White, 25.5% Black, 17.0% Hispanic, and the average age (SD) was 59.7 (7.0) years. Overall, 27 (57.5%) participants were categorized as cognitively normal, 17 (36.2%) as having mild cognitive impairment, and 3 (6.4%) as having possible dementia. Of the 20 participants with mild cognitive impairment or possible dementia, 85.0% were men, the average age (SD) was 60.4 (7.1) years; 45.0% were White, 40.0% were Black, 10.0% were Hispanic, and 30.0% reported difficulty with at least 1 IADL. Most (66.7%) attributed difficulty with IADL primarily (33.3%) or in part (33.3%) to cognitive problems.

Conclusions

Undiagnosed cognitive impairment is frequent among ART-treated PWH, with possible elevated risk among Black PWH, and may be accompanied by difficulty with IADL. Efforts are needed to optimize identification of factors contributing to cognitive and IADL difficulties among ART-treated PWH in primary care.

Human Immunodeficiency Virus Status, Tenofovir Exposure, and the Risk of Poor Coronavirus Disease 19 Outcomes: Real-World Analysis From 6 United States Cohorts Before Vaccine Rollout

BACKGROUND

People with human immunodeficiency virus (HIV) (PWH) may be at increased risk for severe coronavirus disease 2019 (COVID-19) outcomes. We examined HIV status and COVID-19 severity, and whether tenofovir, used by PWH for HIV treatment and people without HIV (PWoH) for HIV prevention, was associated with protection.

METHODS

Within 6 cohorts of PWH and PWoH in the United States, we compared the 90-day risk of any hospitalization, COVID-19 hospitalization, and mechanical ventilation or death by HIV status and by prior exposure to tenofovir, among those with severe acute respiratory syndrome coronavirus 2 infection between 1 March and 30 November 2020. Adjusted risk ratios (aRRs) were estimated by targeted maximum likelihood estimation, with adjustment for demographics, cohort, smoking, body mass index, Charlson comorbidity index, calendar period of first infection, and CD4 cell counts and HIV RNA levels (in PWH only).

RESULTS

Among PWH (n = 1785), 15% were hospitalized for COVID-19 and 5% received mechanical ventilation or died, compared with 6% and 2%, respectively, for PWoH (n = 189 351). Outcome prevalence was lower for PWH and PWoH with prior tenofovir use. In adjusted analyses, PWH were at increased risk compared with PWoH for any hospitalization (aRR, 1.31 [95% confidence interval, 1.20-1.44]), COVID-19 hospitalizations (1.29 [1.15-1.45]), and mechanical ventilation or death (1.51 [1.19-1.92]). Prior tenofovir use was associated with reduced hospitalizations among PWH (aRR, 0.85 [95% confidence interval, .73-.99]) and PWoH (0.71 [.62-.81]).

CONCLUSIONS

Before COVID-19 vaccine availability, PWH were at greater risk for severe outcomes than PWoH. Tenofovir was associated with a significant reduction in clinical events for both PWH and PWoH.

Mental health and substance use screening in HIV primary care before and during the early COVID-19 pandemic

BACKGROUND

Mental health and substance use disorders disproportionately affect people with HIV (PWH), and may have been exacerbated during COVID-19. The Promoting Access to Care Engagement (PACE) trial was designed to assess the effectiveness of electronic screening for mental health and substance use in HIV primary care and enrolled PWH from October 2018 to July 2020. Our objective here was to compare screening rates and results for PWH before (October 2018 - February 2020) and early in the COVID-19 pandemic (March-July 2020).

METHODS

Adult (≥ 18 years) PWH from 3 large HIV primary care clinics in a US-based integrated healthcare system were offered electronic screening online or via in-clinic tablet computer every 6 months. Screening completion and results (for depression, suicidal ideation, anxiety, and substance use) were analyzed using logistic regression with generalized estimating equations to estimate prevalence ratios (PR) before and after the start of the regional COVID-19 shelter-in-place orders on March 17, 2020. Models adjusted for demographics (age, sex, race/ethnicity), HIV risk factors (men who have sex with men, injection drug use, heterosexual, other), medical center, and modality of screening completion (online or tablet). We conducted qualitative interviews with providers participating in the intervention to evaluate how the pandemic impacted patient care.

RESULTS

Of 8,954 eligible visits, 3,904 completed screenings (420 during COVID, 3,484 pre-COVID), with lower overall completion rates during COVID (38% vs. 44%). Patients completing screening during COVID were more likely to be White (63% vs. 55%), male (94% vs. 90%), and MSM (80% vs., 75%). Adjusted PRs comparing COVID and pre-COVID (reference) were 0.70 (95% CI), 0.92 (95% CI), and 0.54 (95% CI) for tobacco use, any substance use, and suicidal ideation, respectively. No significant differences were found by era for depression, anxiety, alcohol, or cannabis use. These results were in contrast to provider-reported impressions of increases in substance use and mental health symptoms.

CONCLUSION

Findings suggest PWH had modest declines in screening rates early in the COVID-19 pandemic which may have been affected by the shift to telemedicine. There was no evidence that mental health problems and substance use increased for PWH in primary care.

TRIAL REGISTRATION

NCT03217058 (First registration date: 7/13/2017); https://clinicaltrials.gov/ct2/show/NCT03217058.

Characterizing Unhealthy Alcohol Use Patterns and Their Association with Alcohol Use Reduction and Alcohol Use Disorder During Follow-Up in HIV Care

Outcomes of PWH with unhealthy alcohol use, such as alcohol use reduction or progression to AUD, are not well-known and may differ by baseline patterns of unhealthy alcohol use. Among 1299 PWH screening positive for NIAAA-defined unhealthy alcohol use in Kaiser Permanente Northern California, 2013-2017, we compared 2-year probabilities of reduction to low-risk/no alcohol use and rates of new AUD diagnoses by baseline use patterns, categorized as exceeding: only daily limits (72% of included PWH), only weekly limits (17%), or both (11%), based on NIAAA recommendations. Overall, 73.2% (95% CI 70.5-75.9%) of re-screened PWH reduced to low-risk/no alcohol use over 2 years, and there were 3.1 (95% CI 2.5-3.8%) new AUD diagnoses per 100 person-years. Compared with PWH only exceeding daily limits at baseline, those only exceeding weekly limits and those exceeding both limits were less likely to reduce and likelier to be diagnosed with AUD during follow-up. PWH exceeding weekly drinking limits, with or without exceeding daily limits, may have a potential need for targeted interventions to address unhealthy alcohol use.

Patient and provider perspectives on self-administered electronic substance use and mental health screening in HIV primary care

Background

Substance use disorders, depression and anxiety disproportionately affect people with HIV (PWH) and lead to increased morbidity and mortality. Routine screening can help address these problems but is underutilized. This study sought to describe patient and provider perspectives on the acceptability and usefulness of systematic electronic, self-administered screening for tobacco, alcohol, other substance use, and mental health symptoms among patients in HIV primary care.

Methods

Screening used validated instruments delivered pre-appointment by both secure messaging and clinic-based tablets, with results integrated into the electronic health record (EHR). Qualitative analysis of semi-structured interviews with 9 HIV primary care providers and 12 patients in the 3 largest HIV primary care clinics in the Kaiser Permanente Northern California health system who participated in a clinical trial evaluating computerized screening and behavioral interventions was conducted. Interviews were audio-recorded and transcribed. A thematic approach was utilized for coding and analysis of interview data using a combination of deductive and inductive methods.

Results

Four key themes were identified: (1) perceived clinical benefit of systematic, electronic screening and EHR integration for providers and patients; (2) usefulness of having multiple methods of questionnaire completion; (3) importance of the patient–provider relationship to facilitate completion and accurate reporting; and (4) barriers, include privacy and confidentiality concerns about reporting sensitive information, particularly about substance use, and potential burden from repeated screenings.

Conclusions

Findings suggest that electronic, self-administered substance use and mental health screening is acceptable to patients and may have clinical utility to providers. While offering different methods of screening completion can capture a wider range of patients, a strong patient–provider relationship is a key factor in overcoming barriers and ensuring accurate patient responses. Further investigation into facilitators, barriers, and utility of electronic screening for PWH and other high-priority patient populations is indicated.

Trial registration ClinicalTrials.gov, NCT03217058. Registered 13 July 2017, https://clinicaltrials.gov/ct2/show/NCT03217058

Supplementary Information

The online version contains supplementary material available at 10.1186/s13722-022-00293-7.

Treatment for alcohol use disorder among persons with and without HIV in a clinical care setting in the United States

BACKGROUND

Alcohol use disorders (AUD) can lead to poor health outcomes. Little is known about AUD treatment among persons with HIV (PWH). In an integrated health system in Northern California, 2014-2017, we compared AUD treatment rates between PWH with AUD and persons without HIV (PWoH) with AUD.

METHODS

Using Poisson regression with GEE, we estimated prevalence ratios (PRs) comparing the annual probability of receiving AUD treatment (behavioral intervention or dispensed medication), adjusted for sociodemographics, psychiatric comorbidities, insurance type, and calendar year. Among PWH, we examined independent AUD treatment predictors using PRs adjusted for calendar year only.

RESULTS

PWH with AUD (N = 633; 93% men, median age 49) were likelier than PWoH with AUD (N = 7006; 95% men, median age 52) to have depression (38% vs. 21%) and a non-alcohol substance use disorder (SUD, 48% vs. 25%) (both P < 0.01). Annual probabilities of receiving AUD treatment were 45.4% for PWH and 34.4% for PWoH. After adjusting, there was no difference by HIV status (PR 1.02 [95% CI 0.94-1.11]; P = 0.61). Of treated PWH, 59% received only a behavioral intervention, 5% only a medication, and 36% both, vs. 67%, 4%, 30% for treated PWoH, respectively. Irrespective of HIV status, the most common medication was gabapentin. Among PWH, receiving AUD treatment was associated with having depression (PR 1.78 [1.51-2.10]; P < 0.01) and another SUD (PR 2.68 [2.20-3.27]; P < 0.01).

CONCLUSIONS

PWH with AUD had higher AUD treatment rates than PWoH with AUD in unadjusted but not adjusted analyses, which may be explained by higher psychiatric comorbidity burden among PWH.