Associations Between Reductions in Depressive Symptoms and Reductions in Pain and Anxiety Symptoms and Substance Use: Emulation of a Randomized Trial.

Introduction: Depressive symptoms are linked with pain, anxiety, and substance use. Research estimating whether a reduction in depressive symptoms is linked to subsequent reductions in pain and anxiety symptoms and substance use is limited. Methods: Using data from the Veterans Aging Cohort Study, a multisite observational study of U.S. veterans, the authors used a target trial emulation framework to compare individuals with elevated depressive symptoms (Patient Health Questionnaire-9 score ≥ 10) who experienced reductions in depressive symptoms (Patient Health Questionnaire-9 score < 10) with those whose symptoms persisted (Patient Health Questionnaire-9 score ≥ 10) at the next follow-up visit (on average, 1 year later). Using inverse probability of treatment weighting, the authors estimated ORs and 95% CIs for associations between depressive symptom reduction status and improvement on the following: anxiety symptoms, pain symptoms, unhealthy alcohol use, and use of tobacco, cannabis, cocaine, and/or illicit opioids. Results: Reductions in depressive symptoms were associated with reductions in pain symptoms (OR=1.43, 95% CI=1.01, 2.02), anxiety symptoms (OR=2.50, 95% CI=1.63, 3.83), and illicit opioid use (OR=2.07, 95% CI=1.13, 3.81). Depressive symptom reductions were not associated with reductions in unhealthy alcohol use (OR=0.85, 95% CI=0.48, 1.52) or use of tobacco (OR=1.49, 95% CI=0.89, 2.48), cannabis (OR=1.07, 95% CI=0.63, 1.83), or cocaine (OR=1.28, 95% CI=0.73, 2.24). Conclusions: Reducing depressive symptoms may potentially reduce pain and anxiety symptoms and illicit opioid use. Future work should determine whether reductions achieved through antidepressant medications, behavioral therapy, or other means have comparable impact.

Cervical Cancer Screening Among Female Medicaid Beneficiaries With and Without Schizophrenia.

BACKGROUND AND HYPOTHESIS: In the United States, women with schizophrenia face challenges in receiving gynecologic care, but little is known about how cervical cancer screening rates vary across time or states in a publicly insured population. We hypothesized that women Medicaid beneficiaries with schizophrenia would be less likely to receive cervical cancer screening across the United States compared with a control population, and that women with schizophrenia and other markers of vulnerability would be least likely to receive screening. STUDY DESIGN: This retrospective cohort study used US Medicaid administrative data from across 44 states between 2002 and 2012 and examined differences in cervical cancer screening test rates among 283 950 female Medicaid beneficiaries with schizophrenia and a frequency-matched control group without serious mental illness, matched on age and race/ethnicity. Among women with schizophrenia, multivariable logistic regression estimated the odds of receiving cervical cancer screening using individual sociodemographics, comorbid conditions, and health care service utilization. STUDY RESULTS: Compared to the control group, women with schizophrenia were less likely to receive cervical cancer screening (OR = 0.76; 95% CI 0.75-0.77). Among women with schizophrenia, nonwhite populations, younger women, urban dwellers, those with substance use disorders, anxiety, and depression and those connected to primary care were more likely to complete screening. CONCLUSIONS: Cervical cancer screening rates among US women Medicaid beneficiaries with schizophrenia were suboptimal. To address cervical cancer care disparities for this population, interventions are needed to prioritize women with schizophrenia who are less engaged with the health care system or who reside in rural areas.

The Association of Prescribed Opioids and Incident Cardiovascular Disease.

Opioid prescribing remains common despite known overdose-related harms. Less is known about links to nonoverdose morbidity. We determined the association between prescribed opioid receipt with incident cardiovascular disease (CVD) using data from the Veterans Aging Cohort Study, a national prospective cohort of Veterans with/without Human Immunodeficiency Virus (HIV) receiving Veterans Health Administration care. Selected participants had no/minimal prior exposure to prescription opioids, no opioid use disorder, and no severe illness 1 year after the study start date (baseline period). We ascertained prescription opioid exposure over 3 years after the baseline period using outpatient pharmacy fill/refill data. Incident CVD ascertainment began at the end of the prescribed opioid exposure ascertainment period until the first incident CVD event, death, or September 30, 2015. We used adjusted Cox proportional hazards regression models with matching weights using propensity scores for opioid receipt to estimate CVD risk. Among 49,077 patients, 30% received opioids; the median age was 49 years, 97% were male, 49% were Black, and 47% were currently smoking. Prevalence of hypertension, diabetes, current smoking, alcohol and cocaine use disorder, and depression was higher in patients receiving opioids versus those not but were well-balanced by matching weights. Unadjusted CVD incidence rates per 1,000-person-years were higher among those receiving opioids versus those not: 17.4 (95% confidence interval [CI], 16.5-18.3) versus 14.7 (95% CI, 14.2-15.3). In adjusted analyses, those receiving opioids versus those not had an increased hazard of incident CVD (adjusted hazard ratio 1.16 [95% CI, 1.08-1.24]). Prescribed opioids were associated with increased CVD incidence, making opioids a potential modifiable CVD risk factor. PERSPECTIVE: In a propensity score weighted analysis of Veterans Administration data, prescribed opioids compared to no opioids were associated with an increased hazard of incident CVD. Higher opioid doses compared with lower doses were associated with increased hazard of incident CVD. Opioids are a potentially modifiable CVD risk factor.

Potential health benefits of integrated screening strategies for alcohol, tobacco, other substance use, depression, anxiety, and chronic pain among people living with HIV in the USA: a mathematical modelling study.

BACKGROUND: Alcohol use, tobacco use, and other substance use often co-occur with depression, anxiety, and chronic pain, forming a constellation of alcohol, substance, and mood-related (CASM) conditions that disproportionately affects people with HIV in the USA. We used a microsimulation model to evaluate how alternative screening strategies accounting for CASM interdependence could affect life expectancy in people with HIV in the USA. METHODS: We augmented a microsimulation model previously validated to predict US adult life expectancy, including in people with HIV. Using data from the Veterans Aging Cohort Study, we incorporated CASM co-occurrence, inferred causal relationships between CASM conditions, and assessed the effects of CASM on HIV treatment and preventive care. We simulated an in-care HIV cohort exposed to alternative CASM screening and diagnostic assessment strategies, ranging from currently recommended screenings (alcohol, tobacco, and depression, with diagnostic assessments for conditions screening positive) to a series of integrated strategies (screening for alcohol, tobacco, or depression with additional diagnostic assessments if any screened positive) to a maximal saturation strategy (diagnostic assessments for all CASM conditions). FINDINGS: The saturation strategy increased life expectancy by 0·95 years (95% CI 0·93-0·98) compared with no screening. Recommended screenings provided much less benefit: 0·06 years (0·03-0·09) gained from alcohol screening, 0·08 years (0·06-0·11) from tobacco screening, 0·10 years (0·08-0·11) from depression screening, and 0·25 years (0·22-0·27) from all three screenings together. One integrated strategy (screening alcohol, tobacco, and depression with diagnostic assessment for all CASM conditions if any screened positive) produced near-maximal benefit (0·82 years [0·80-0·84]) without adding substantial screening burden, albeit requiring additional diagnostic assessments. INTERPRETATION: Primary care providers for people with HIV should consider comprehensive diagnostic assessment of CASM conditions if one or more conditions screen positive. FUNDING: US National Institute on Alcohol Abuse and Alcoholism.

Factors Associated with Bothersome Symptoms in Individuals With and Without HIV Who Report Alcohol Use.

Bothersome symptoms potentially related to drinking are commonly reported by people with and without HIV (PWH/PWoH). However, the relationship between bothersome symptoms and level of alcohol use is often not appreciated by patients or providers. Therefore, among persons reporting prior-year alcohol use, we assessed whether alcohol use level (AUDIT-C score), HIV status, and demographic covariates influenced the likelihood of the patient reporting a bothersome symptom. We used the Veterans Aging Cohort Study (VACS) surveys (2002-2018), including a validated symptoms index. Among 3679 PWH and 3830 PWoH currently drinking alcohol, the most commonly reported symptoms were muscle/joint pain (52%), sleep disturbance (51%), and fatigue (50%). Level of alcohol use was independently associated with 18 of 20 bothersome symptoms, including seven symptoms more common among PWH. Results can help inform PWH/PWoH who drink alcohol about the strong relationship between level of alcohol use and bothersome symptoms, potentially motivating reduced use.

Breast Cancer Screening Rates Among Medicaid Beneficiaries With Schizophrenia.

OBJECTIVE: Women with serious mental illness are more likely to be diagnosed as having late-stage breast cancer than women without serious mental illness, suggesting a disparity in screening mammography. This study aimed to compare screening mammography rates in a nationally representative sample of Medicaid beneficiaries with and without schizophrenia. METHODS: Medicaid Analytic eXtract files, 2007-2012, were used to identify a cohort of women ages 40-64 with schizophrenia who were eligible for Medicaid but not Medicare (N=87,572 in 2007 and N=114,341 in 2012) and a cohort without schizophrenia, frequency-matched by age, race-ethnicity, and state (N=97,003 in 2007 and N=126,461 in 2012). Annual screening mammography rates were calculated and adjusted for demographic characteristics and comorbid conditions. Multivariable logistic regression was used to estimate the association between beneficiary characteristics and screening mammography rates. RESULTS: In 2012, 27.2% of women with schizophrenia completed screening mammography, compared with 26.8% of the control cohort. In the schizophrenia cohort, American Indian/Alaskan Native women had significantly lower odds of receiving mammography (OR=0.82, p=0.02) than White women, whereas Hispanic/Latina women had higher odds (OR=1.16, p<0.001). Women with schizophrenia and a nonalcohol-related substance use disorder had lower odds of receiving mammography (OR=0.74, p<0.001) than women without a substance use disorder. Having at least one medical visit in the past year (vs. no visits) increased the odds of receiving screening mammography (OR=5.08, p<0.001). CONCLUSIONS: Screening mammography rates were similar between Medicaid-insured women with and those without schizophrenia. Interventions to increase uptake may need to focus on improving socioeconomic conditions and primary care engagement for vulnerable populations, regardless of psychiatric condition.

Longitudinal analysis of the prevalence and correlates of heavy episodic drinking and self-reported opioid use among a national cohort of patients with HIV.

BACKGROUND: Heavy episodic drinking (HED) is a risk factor for opioid-related overdose and negatively impacts HIV disease progression. Among a national cohort of patients with HIV (PWH), we examined sociodemographic and clinical correlates of concomitant HED and self-reported opioid use. METHODS: We used data collected from 2002 through 2018 from the Veterans Aging Cohort Study, a prospective cohort including PWH in care at eight US Veterans Health Administration sites. HED was defined as consuming six or more drinks at least once in the year prior to survey collection. We examined the relationship between HED and self-reported opioid use and created a 4-level composite variable of HED and opioid use. We used multinomial logistic regression to estimate odds of reporting concomitant HED and self-reported opioid use. RESULTS: Among 3702 PWH, 1458 (39.4%) reported HED during the study period and 350 (9.5%) reported opioid use. In the multinomial model, compared to reporting neither HED nor opioid use, lifetime housing instability (adjusted odds ratio [aOR] 1.54, 95% confidence interval [CI] 1.01 to 2.35), Veterans Aging Cohort Study Index 2.0 (a measure of disease severity; aOR 1.14, 95% CI 1.02 to 1.28), depressive symptoms (aOR 2.27, 95% CI 1.42 to 3.62), past-year cigarette smoking (aOR 3.06, 95% CI 1.53 to 6.14), cannabis use (aOR 1.69, 95% CI 1.09 to 2.62), and cocaine/stimulant use (aOR 11.54, 95% CI 7.40 to 17.99) were independently associated with greater odds of concomitant HED and self-reported opioid use. Compared to having attended no college, having some college or more (aOR 0.39, 95% CI 0.26 to 0.59) was associated with lower odds of concomitant HED and self-reported opioid use. CONCLUSIONS: Among PWH, concomitant HED and self-reported opioid use are more common among individuals with depressive symptoms and substance use, structural vulnerabilities, and greater illness severity. Efforts to minimize opioid-related risk should address high-risk drinking as a modifiable risk factor for harm among these groups.

Brief original report: Does smoking status provide information relevant to screening for other substance use among US adults?

We assessed whether tobacco screening provides clinically meaningful information about other substance use, including alcohol and other drug use, potentially facilitating targeting of screening for substance use. Using data from the Veterans Aging Cohort Study survey sample (VACS; N = 7510), we calculated test performance characteristics of tobacco use screening results for identification of other substance use including sensitivity, specificity, positive-likelihood-ratio (+LR = [sensitivity/(1-specificity)]: increase in odds of substance use informed by a positive tobacco screen), and negative-likelihood-ratio (-LR: [(1-sensitivity)/specificity]: reduction in odds of substance use informed by a negative tobacco screen). The sample was 95% male, 75% minority, and 43% were current and 33% were former smokers. Never smoking, versus any history, indicated an approximate four-fold decrease in the odds of injection drug use (-LR = 0.26), an approximate 2.5-fold decrease in crack/cocaine (-LR = 0.35) and unhealthy alcohol use (-LR = 0.40), an approximate two-fold decrease in marijuana (-LR = 0.51) and illicit opioid use (-LR = 0.48), and an approximate 30% decrease in non-crack/cocaine stimulant use (-LR = 0.75). Never smoking yielded more information than current non-smoking (never/former smoking). Positive results on tobacco screening were less informative than negative results; current smoking, versus former/never smoking, provided more information than lifetime smoking and was associated with a 40% increase in the odds of non-crack/cocaine stimulant use (+LR = 1.40) and opioid use (+LR = 1.44), 50% increase in marijuana use (+LR = 1.52) and injection drug use (+LR = 1.55), and an 80-90% increase in crack/cocaine use (+LR = 1.93) and unhealthy alcohol use (+LR = 1.75). When comprehensive screening for substance use is not possible, tobacco screening may inform decisions about targeting substance use screening.

Association of Syndemic Unhealthy Alcohol Use, Smoking, and Depressive Symptoms on Incident Cardiovascular Disease among Veterans With and Without HIV-Infection.

Unhealthy alcohol use, smoking, and depressive symptoms are risk factors for cardiovascular disease (CVD). Little is known about their co-occurrence - termed a syndemic, defined as the synergistic effect of two or more conditions-on CVD risk in people with HIV (PWH). We used data from 5621 CVD-free participants (51% PWH) in the Veteran's Aging Cohort Study-8, a prospective, observational study of veterans followed from 2002 to 2014 to assess the association between this syndemic and incident CVD by HIV status. Diagnostic codes identified cases of CVD (acute myocardial infarction, stroke, heart failure, peripheral artery disease, and coronary revascularization). Validated measures of alcohol use, smoking, and depressive symptoms were used. Baseline number of syndemic conditions was categorized (0, 1, ≥ 2 conditions). Multivariable Cox Proportional Hazards regressions estimated risk of the syndemic (≥ 2 conditions) on incident CVD by HIV-status. There were 1149 cases of incident CVD (52% PWH) during the follow-up (median 10.1 years). Of the total sample, 64% met our syndemic definition. The syndemic was associated with greater risk for incident CVD among PWH (Hazard Ratio [HR] 1.87 [1.47-2.38], p < 0.001) and HIV-negative veterans (HR 1.70 [1.35-2.13], p < 0.001), compared to HIV-negative with zero conditions. Among those with the syndemic, CVD risk was not statistically significantly higher among PWH vs. HIV-negative (HR 1.10 [0.89, 1.37], p = .38). Given the high prevalence of this syndemic combined with excess risk of CVD, these findings support linked-screening and treatment efforts.

A best-worst scaling experiment to identify patient-centered claims-based outcomes for evaluation of pediatric antipsychotic monitoring programs.

OBJECTIVE: This article employs a best-worst scaling (BWS) experiment to identify the claims-based outcomes that matter most to patients and other relevant parties when evaluating pediatric antipsychotic monitoring programs in the United States. DATA SOURCES: Patients and relevant parties, with pediatric antipsychotic oversight and treatment experience, completed a BWS experiment, including policymakers (n = 31), foster care alumni (n = 28), caseworkers (n = 23), prescribing clinicians (n = 32), and caregivers (n = 18). STUDY DESIGN: Respondents received surveys with a scenario on antipsychotic monitoring programs and ranked 11 candidate claims-based outcomes as most and least important for program evaluation. DATA ANALYSIS: Stratified by respondent group, best-worst scores were calculated to identify the relative importance of the claims-based outcomes. A conditional logit examined whether candidate outcomes for safety, quality, and unintended consequences were preferred over reduction in antipsychotic treatment, the outcome used most often to evaluate antipsychotic monitoring programs. PRINCIPAL FINDINGS: Safety indicators (eg, antipsychotic co-pharmacy, cross-class polypharmacy, higher than recommended doses) ranked among the top three candidate outcomes across respondent groups and were an important complement to antipsychotic treatment reduction. Foster care alumni prioritized "antipsychotic treatment reduction" and "increased psychosocial treatment." Caseworkers, prescribers, and caregivers prioritized "increased follow-up after treatment initiation." Potential unintended consequences of an antipsychotic monitoring program ranked lowest, including increased use of other psychotropic medication classes (as a substitute), increased psychiatric hospital stays, and increased emergency room utilization. Results of the conditional logit model found only caregivers significantly preferred other indicators over antipsychotic treatment reduction, preferring improvements in follow-up care (5.78) and psychosocial treatment (4.53) and reduction in prescriptions of higher than recommended doses (3.64). CONCLUSIONS: The BWS experiment supported rank ordering of candidate claims-based outcomes demonstrating the opportunity for future studies to align outcomes used in antipsychotic monitoring program evaluations with community preferences, specifically by diversifying metrics to include safety and quality indicators.

Does Reducing Drinking in Patients with Unhealthy Alcohol Use Improve Pain Interference, Use of Other Substances, and Psychiatric Symptoms?

BACKGROUND: We aimed to investigate the impact of reducing drinking in patients with unhealthy alcohol use on improvement of chronic pain interference, substance use, and psychiatric symptoms. METHODS: We analyzed longitudinal data from 2003 to 2015 in the Veterans Aging Cohort Study, a prospective, multisite observational study of US veterans, by emulating a hypothetical randomized trial (a target trial). Alcohol use was assessed using the Alcohol Use Disorders Identification Test (AUDIT) questionnaire, and outcome conditions were assessed via validated survey items. Individuals were followed from the first time their AUDIT score was ≥ 8 (baseline), a threshold consistent with unhealthy alcohol use. We compared individuals who reduced drinking (AUDIT < 8) at the next follow-up visit with individuals who did not (AUDIT ≥ 8). We fit separate logistic regression models to estimate odds ratios for improvement of each condition 2 years postbaseline among individuals who had that condition at baseline: moderate or severe pain interference symptoms, tobacco smoking, cannabis use, cocaine use, depressive symptoms, and anxiety symptoms. Inverse probability weighting was used to account for potential selection bias and confounding. RESULTS: Adjusted 2-year odds ratios (95% confidence intervals) for associations between reducing drinking and improvement or resolution of each condition were as follows: 1.49 (0.91, 2.42) for pain interference symptoms, 1.57 (0.93, 2.63) for tobacco smoking, 1.65 (0.92, 2.95) for cannabis use, 1.83 (1.03, 3.27) for cocaine use, 1.11 (0.64, 1.92) for depressive symptoms, and 1.33 (0.80, 2.22) for anxiety symptoms. CONCLUSIONS: We found some evidence for improvement of pain interference symptoms and substance use after reducing drinking among US veterans with unhealthy alcohol use, but confidence intervals were wide.

Association of Syndemic Unhealthy Alcohol Use, Cigarette Use, and Depression With All-Cause Mortality Among Adults Living With and Without HIV Infection: Veterans Aging Cohort Study.

BACKGROUND: The prevalence and risk of concurrent unhealthy drinking, cigarette use, and depression on mortality among persons living with HIV (PLWH) is unclear. This study applied a syndemic framework to assess whether these co-occurring conditions increase mortality and whether such risk is differential by HIV status. METHODS: We evaluated 6721 participants (49.8% PLWH) without baseline cancer from the Veterans Aging Cohort Study, a prospective, observational cohort of PLWH and matched uninfected veterans enrolled in 2002 and followed through 2015. Multivariable Cox proportional hazards regressions estimated risk of a syndemic score (number of conditions: that is, unhealthy drinking, cigarette use, and depressive symptoms) on all-cause mortality by HIV status, adjusting for demographic, health status, and HIV-related factors. RESULTS: Fewer than 10% of participants had no conditions; 25.6% had 1, 51.0% had 2, and 15.0% had all 3. There were 1747 deaths (61.9% PLWH) during the median follow-up (11.4 years). Overall, age-adjusted mortality rates/1000 person-years increased with a greater number of conditions: (0: 12.0; 1: 21.2; 2: 30.4; 3: 36.3). For 3 conditions, the adjusted hazard ratio of mortality was 36% higher among PLWH compared with uninfected participants with 3 conditions (95% confidence interval, 1.07-1.72; P = .013), after adjusting for health status and HIV disease progression. Among PLWH and uninfected participants, mortality risk persisted after adjustment for time-updated health status. CONCLUSIONS: Syndemic unhealthy drinking, cigarette use, and depression are common and are associated with higher mortality risk among PLWH, underscoring the need to screen for and treat these conditions.

High-dose prescribed opioids are associated with increased risk of heroin use among United States military veterans.

Despite evidence linking increased risk of opioid use disorder with specific opioid-prescribing patterns, the relationship between these patterns and heroin use is less understood. This study aimed to determine whether dose and duration of opioid prescriptions predict subsequent heroin use in United States veterans. We analyzed data from 2002 to 2012 from the Veterans Aging Cohort Study, a prospective cohort study. We used inverse probability of censoring weighted Cox regression to examine the relationship between self-reported past year heroin use and 2 primary predictors: (1) prior receipt of a high-dose opioid prescription (≥90 mg morphine equivalent daily dose), and (2) prior receipt of a long-term opioid prescription (≥90 days). Heroin use was ascertained using most recent value of time-updated self-reported past year heroin use. Models were adjusted for HIV and hepatitis C virus infection status, sociodemographics, pain interference, posttraumatic stress disorder, depression, and use of marijuana, cocaine, methamphetamines, and unhealthy alcohol use. In the final model, prior receipt of a high-dose opioid prescription was associated with past year heroin use (adjusted hazard ratio use = 2.54, 95% confidence interval: 1.26-5.10), whereas long-term opioid receipt was not (adjusted hazard ratio = 1.09, 95% confidence interval: 0.75-1.57). Patients receiving high-dose opioid prescriptions should be monitored for heroin use. These findings support current national guidelines recommending against prescribing high-dose opioids for treating pain.

Racial Differences in Change in Physical Functioning in Older Male Veterans with HIV.

Little is known about longitudinal change in physical functioning of older African American/Black and White HIV-infected persons. We examined up to 10 years of data on African American (N = 1,157) and White (N = 400) men with HIV infection and comparable HIV-negative men (n = 1,137 and 530, respectively), age 50-91 years from the Veterans Aging Cohort Study Survey sample. Physical functioning was assessed using the SF-12 (12-Item Short Form Health Survey) physical component summary (PCS) score. Mixed-effects models examined association of demographics, health conditions, health behaviors, and selected interactions with PCS score; HIV biomarkers were evaluated for HIV-infected persons. PCS scores were approximately one standard deviation below that of the general U.S. population of similar age. Across the four HIV/race groups, over time and through ages 65-75 years, PCS scores were maintained; differences were not clinically significant. PCS score was not associated with race or with interactions among age, race, and HIV status. CD4 and viral load counts of African American and White HIV-infected men were similar. Older age, low socioeconomic status, chronic health conditions and depression, lower body mass index, and smoking were associated with poorer PCS score in both groups. Exercising and, counterintuitively, being HIV infected were associated with better PCS score. Among these older African American and White male veterans, neither race nor HIV status was associated with PCS score, which remained relatively stable over time. Chronic disease, depression, and lack of exercise were associated with lower PCS score. To maintain independence in this population, attention should be paid to controlling chronic conditions, and emphasizing good health behaviors.

Predictors of timely opioid agonist treatment initiation among veterans with and without HIV.

BACKGROUND: Opioid use disorder (OUD) is prevalent among people with HIV (PWH). Opioid agonist therapy (OAT) is the most effective treatment for OUD and is associated with improved health outcomes, but is often not initiated. To inform clinical practice, we identified factors predictive of OAT initiation among patients with and without HIV. METHODS: We identified 19,698 new clinical encounters of OUD between 2000 and 2012 in the Veterans Aging Cohort Study (VACS), a national observational cohort of PWH and matched uninfected controls. Mixed effects models examined factors predictive of OAT initiation within 30-days of a new OUD clinical encounter. RESULTS: 4.9% of both PWH and uninfected patients initiated OAT within 30 days of a new OUD clinical encounter. In adjusted models, participants with a psychiatric diagnosis (aOR = 0.54, 95% CI 0.47 - 0.62), PWH (aOR = 0.79, 95% CI 0.68-0.92), and rural residence (aOR = 0.56, 95% CI 0.39-0.78) had a lower likelihood of any OAT initiation, while African-American patients (aOR = 1.60, 95% CI 1.34-1.92), those with an alcohol related diagnosis (aOR = 1.76, 95% CI 1.48-2.08), diagnosis year 2005-2008 relative to 2000-2004 (aOR = 1.24, 95% CI 1.05-1.45), and patients with HCV (aOR = 1.50, 95% CI 1.27-1.77) had a greater likelihood of initiating any OAT within 30 days. Predictive factors were similar in the total sample and PWH only models. CONCLUSIONS: PWH were less likely to receive timely OAT initiation than demographically similar uninfected patients. Given the health benefits of such treatment, the low rate of OAT initiation warrants focused efforts in both PWH and uninfected populations.

Duration of opioid prescriptions predicts incident nonmedical use of prescription opioids among U.S. veterans receiving medical care.

BACKGROUND/AIMS: Although nonmedical use of prescription opioids (NMUPO) is a public health problem, few studies have examined the new-onset NMUPO in clinical populations. We estimated NMUPO incidence among veterans in medical care who had received prescription opioid medication and examined correlates of new-onset NMUPO. DESIGN: Prospective cohort study. SETTING: Veterans Health Administration primary care and infectious disease clinics in Atlanta, Baltimore, Bronx, Houston, Los Angeles, Manhattan, Pittsburgh, and Washington, DC. PARTICIPANTS: Patients enrolled in the Veterans Aging Cohort Study wave 3 (2005-2007) who received prescription opioids in the previous year and without lifetime NMUPO were followed at waves 4 and 5 (2008-2011). MEASUREMENTS: Cox proportional hazards regression was used to examine the relationship between duration of prescription opioid receipt and incident NMUPO, adjusting for demographics, alcohol and tobacco use, substance use disorders, psychiatric and medical diagnoses, and medication-related characteristics. FINDINGS: Among eligible participants (n = 815), the median age was 52 (IQR = 47-58) and 498 (59.8%) were Black; 122 (15.0%) reported new-onset NMUPO, for an incidence rate of 5.0 per 100 person-years. In a multivariable Cox model, compared to <30 days, receipt of prescription opioids for 30-180 days (adjusted hazard ratio [AHR] = 1.65 95% CI: 1.06, 2.58) or >180 days (AHR = 1.99, 95% CI: 1.21, 3.29) was associated with incident NMUPO. CONCLUSIONS: Duration of prescription opioid receipt is a risk factor for incident NMUPO among veterans receiving medical care. Providers who prescribe opioids should monitor for NMUPO, especially among those with a longer duration of opioid therapy.

Causes of Death After Nonfatal Opioid Overdose.

Importance: A recent increase in patients presenting with nonfatal opioid overdoses has focused clinical attention on characterizing their risks of premature mortality. Objective: To describe all-cause mortality rates, selected cause-specific mortality rates, and standardized mortality rate ratios (SMRs) of adults during their first year after nonfatal opioid overdose. Design, Setting, and Participants: This US national longitudinal study assesses a cohort of patients aged 18 to 64 years who were Medicaid beneficiaries and experienced nonfatal opioid overdoses. The Medicaid data set included the years 2001 through 2007. Death record information was obtained from the National Death Index. Data analysis occurred from October 2017 to January 2018. Main Outcomes and Measures: Crude mortality rates per 100 000 person-years were determined in the first year after nonfatal opioid overdose. Standardized mortality rate ratios (SMR) were estimated for all-cause and selected cause-specific mortality standardized to the general population with respect to age, sex, and race/ethnicity. Results: The primary cohort included 76 325 adults and 66 736 person-years of follow-up. During the first year after nonfatal opioid overdose, there were 5194 deaths, the crude death rate was 778.3 per 10 000 person-years, and the all-cause SMR was 24.2 (95% CI, 23.6-24.9). The most common immediate causes of death were substance use-associated diseases (26.2%), diseases of the circulatory system (13.2%), and cancer (10.3%). For every cause examined, SMRs were significantly elevated, especially with respect to drug use-associated diseases (SMR, 132.1; 95% CI, 125.6-140.0), HIV (SMR, 45.9; 95% CI, 39.5-53.0), chronic respiratory diseases (SMR, 41.1; 95% CI, 36.0-46.8), viral hepatitis (SMR, 30.6; 95% CI, 22.9-40.2), and suicide (SMR, 25.9; 95% CI, 22.6-29.6), particularly including suicide among females (SMR, 47.9; 95% CI, 39.8-52.3). Conclusions and Relevance: In a US national cohort of adults who had experienced a nonfatal opioid overdose, a marked excess of deaths was attributable to a wide range of substance use-associated, mental health, and medical conditions, underscoring the importance of closely coordinating the substance use, mental health, and medical care of this patient population.

Differences in Medicaid Antipsychotic Medication Measures Among Children with SSI, Foster Care, and Income-Based Aid.

BACKGROUND: Concerns about antipsychotic prescribing for children, particularly those enrolled in Medicaid and with Supplemental Security Income (SSI), continue despite recent calls for selective use within established guidelines. OBJECTIVES: To (a) examine the application of 6 quality measures for antipsychotic medication prescribing in children and adolescents receiving Medicaid and (b) understand distinctive patterns across eligibility categories in order to inform ongoing quality management efforts to support judicious antipsychotic use. METHODS: Using data for 10 states from the 2008 Medicaid Analytic Extract (MAX), a cross-sectional assessment of 144,200 Medicaid beneficiaries aged < 21 years who received antipsychotics was conducted to calculate the prevalence of 6 quality measures for antipsychotic medication management, which were developed in 2012-2014 by the National Collaborative for Innovation in Quality Measurement. These measures addressed antipsychotic polypharmacy, higher-than-recommended doses of antipsychotics, use of psychosocial services before antipsychotic initiation, follow-up after initiation, baseline metabolic screening, and ongoing metabolic monitoring. RESULTS: Compared with children eligble for income-based Medicaid, children receiving SSI and in foster care were twice as likely to receive higher-than-recommended doses of antipsychotics (adjusted odds ratio [AOR] = 2.4, 95% CI = 2.3-2.6; AOR = 2.5, 95% CI = 2.4-2.6, respectively) and multiple concurrent antipsychotic medications (AOR = 2.2, 95% CI = 2.0-2.4; AOR = 2.2, 95% CI = 2.0-2.4, respectively). However, children receiving SSI and in foster care were more likely to have appropriate management, including psychosocial visits before initiating antipsychotic treatment and ongoing metabolic monitoring. While children in foster care were more likely to experience baseline metabolic screening, SSI children were no more likely than children eligible for income-based aid to receive baseline screening. CONCLUSIONS: While indicators of overuse were more common in SSI and foster care groups, access to follow-up, metabolic monitoring, and psychosocial services was somewhat better for these children. However, substantial quality shortfalls existed for all groups, particularly metabolic screening and monitoring. Renewed efforts are needed to improve antipsychotic medication management for all children. DISCLOSURES: This project was supported by grant number U18HS020503 from the Agency for Healthcare Research and Quality (AHRQ) and Centers for Medicare & Medicaid Services (CMS). Additional support for Rutgers-based participants was provided from AHRQ grants R18 HS019937 and U19HS021112, as well as the New York State Office of Mental Health. The content of this study is solely the responsibility of the authors and does not necessarily represent the official views of AHRQ, CMS, or the New York State Office of Mental Health. Finnerty has been the principle investigator on research grants/contracts from Bristol Myers Squibb and Sunovion, but her time on these projects is fully supported by the New York State Office of Mental Health. Scholle, Byron, and Morden work for the National Committee for Quality Assurance, a not-for-profit organization that develops and maintains quality measures. Neese-Todd was at Rutgers University at the time of this study and is now employed by the National Committee for Quality Assurance. The other authors have no financial relationships relevant to this article to disclose. Study concept and design were contributed by Finnerty, Neese-Todd, and Crystal, assisted by Scholle, Leckman-Westin, Horowitz, and Hoagwood. Scholle, Byron, Morden, and Hoagwood collected the data, and data interpretation was performed by Pritam, Bilder, Leckman-Westin, and Finnerty, with assistance from Scholle, Byron, Crystal, Kealey, and Neese-Todd. The manuscript was written by Leckman-Westin, Kealey, and Horowitz and revised by Layman, Crystal, Leckman-Westin, Finnerty, Scholle, Neese-Todd, and Horowitz, along with the other authors.

Non-medical use of prescription opioids is associated with heroin initiation among US veterans: a prospective cohort study.

AIMS: To estimate the influence of non-medical use of prescription opioids (NMUPO) on heroin initiation among US veterans receiving medical care. DESIGN: Using a multivariable Cox regression model, we analyzed data from a prospective, multi-site, observational study of HIV-infected and an age/race/site-matched control group of HIV-uninfected veterans in care in the United States. Approximately annual behavioral assessments were conducted and contained self-reported measures of NMUPO and heroin use. SETTING: Veterans Health Administration (VHA) infectious disease and primary care clinics in Atlanta, Baltimore, New York, Houston, Los Angeles, Pittsburgh and Washington, DC. PARTICIPANTS: A total of 3396 HIV-infected and uninfected patients enrolled into the Veterans Aging Cohort Study who reported no life-time NMUPO or heroin use, had no opioid use disorder diagnoses at baseline and who were followed between 2002 and 2012. MEASUREMENTS: The primary outcome measure was self-reported incident heroin use and the primary exposure of interest was new-onset NMUPO. Our final model was adjusted for socio-demographics, pain interference, prior diagnoses of post-traumatic stress disorder and/or depression and self-reported other substance use. FINDINGS: Using a multivariable Cox regression model, we found that non-medical use of prescription opioids NMUPO was associated positively and independently with heroin initiation [adjusted hazard ratio (AHR) = 5.43, 95% confidence interval (CI) = 4.01, 7.35]. CONCLUSIONS: New-onset non-medical use of prescription opioids (NMUPO) is a strong risk factor for heroin initiation among HIV-infected and uninfected veterans in the United States who reported no previous history of NMUPO or illicit opioid use.

Risk factors associated with acute exacerbation of chronic obstructive pulmonary disease in HIV-infected and uninfected patients.

OBJECTIVE: To determine the association between HIV infection and other risk factors for acute exacerbation of chronic obstructive pulmonary disease (AECOPD). DESIGN: Longitudinal, national Veterans Aging Cohort Study including 43 618 HIV-infected and 86 492 uninfected veterans. METHODS: AECOPD was defined as an inpatient or outpatient COPD ICD-9 diagnosis accompanied by steroid and/or antibiotic prescription within 5 days. We calculated incidence rate ratios (IRR) and 95% confidence intervals (CI) for first AECOPD over 2 years and used Poisson regression models to adjust for risk factors. RESULTS: Over 234 099 person-years of follow-up, 1428 HIV-infected and 2104 uninfected patients had at least one AECOPD. HIV-infected patients had an increased rate of AECOPD compared with uninfected (18.8 vs. 13.3 per 1000 person-years, P < 0.001). In adjusted models, AECOPD risk was greater in HIV-infected individuals overall (IRR 1.54; 95% CI 1.44-1.65), particularly in those with more severe immune suppression when stratified by CD4 cell count (cells/µl) compared with uninfected (HIV-infected CD4 < 200: IRR 2.30, 95% CI 2.10-2.53, HIV-infected CD4 ≥ 200-349: IRR 1.32, 95% CI 1.15-1.51, HIV-infected CD4 ≥ 350: IRR 0.99, 95% CI 0.88-1.10). HIV infection also modified the association between current smoking and alcohol-related diagnoses with risk for AECOPD such that interaction terms for HIV and current smoking or HIV and alcohol-related diagnoses were each significantly associated with AECOPD. CONCLUSION: HIV infection, especially with lower CD4 cell count, is an independent risk factor for AECOPD. Enhanced susceptibility to harm from current smoking or unhealthy alcohol use in HIV-infected patients may also contribute to the greater rate of AECOPD.