Wildfires Increase Concentrations of Hazardous Air Pollutants in Downwind Communities.

Due in part to climate change, wildfire activity is increasing, with the potential for greater public health impact from smoke in downwind communities. Studies examining the health effects of wildfire smoke have focused primarily on fine particulate matter (PM2.5), but there is a need to better characterize other constituents, such as hazardous air pollutants (HAPs). HAPs are chemicals known or suspected to cause cancer or other serious health effects that are regulated by the United States (US) Environmental Protection Agency. Here, we analyzed concentrations of 21 HAPs in wildfire smoke from 2006 to 2020 at 309 monitors across the western US. Additionally, we examined HAP concentrations measured in a major population center (San Jose, CA) affected by multiple fires from 2017 to 2020. We found that concentrations of select HAPs, namely acetaldehyde, acrolein, chloroform, formaldehyde, manganese, and tetrachloroethylene, were all significantly elevated on smoke-impacted versus nonsmoke days (P < 0.05). The largest median increase on smoke-impacted days was observed for formaldehyde, 1.3 µg/m3 (43%) higher than that on nonsmoke days. Acetaldehyde increased 0.73 µg/m3 (36%), and acrolein increased 0.14 µg/m3 (34%). By better characterizing these chemicals in wildfire smoke, we anticipate that this research will aid efforts to reduce exposures in downwind communities.

Identifying groups of children's social mobility opportunity for public health applications using k-means clustering.

Background: The Opportunity Atlas project is a pioneering effort to trace social mobility and adulthood socioeconomic outcomes back to childhood residence. Half of the variation in adulthood socioeconomic outcomes was explainable by neighborhood-level socioeconomic characteristics during childhood. Clustering census tracts by Opportunity Atlas characteristics would allow for further exploration of variance in social mobility. Our objectives here are to identify and describe spatial clustering trends within Opportunity Atlas outcomes. Methods: We utilized a k-means clustering machine learning approach with four outcome variables (individual income, incarceration rate, employment, and percent of residents living in a neighborhood with low levels of poverty) each given at five parental income levels (1st, 25th, 50th, 75th, and 100th percentiles of the national distribution) to create clusters of census tracts across the contiguous United States (US) and within each Environmental Protection Agency region. Results: At the national level, the algorithm identified seven distinct clusters; the highest opportunity clusters occurred in the Northern Midwest and Northeast, and the lowest opportunity clusters occurred in rural areas of the Southwest and Southeast. For regional analyses, we identified between five to nine clusters within each region. PCA loadings fluctuate across parental income levels; income and low poverty neighborhood residence explain a substantial amount of variance across all variables, but there are differences in contributions across parental income levels for many components. Conclusions: Using data from the Opportunity Atlas, we have taken four social mobility opportunity outcome variables each stratified at five parental income levels and created nationwide and EPA region-specific clusters that group together census tracts with similar opportunity profiles. The development of clusters that can serve as a combined index of social mobility opportunity is an important contribution of this work, and this in turn can be employed in future investigations of factors associated with children's social mobility.

IBRUTINIB FOR CONTROL OF CHOROIDAL AND ORBITAL METASTASIS FROM CHRONIC LYMPHOCYTIC LEUKEMIA.

PURPOSE: To describe a case of choroidal and orbital metastasis of chronic lymphocytic leukemia controlled with ibrutinib monotherapy, an oral tyrosine kinase inhibitor. METHODS: Single case report. RESULTS: A 69-year-old man with a past medical history of chronic lymphocytic leukemia diagnosed 1 year previously was referred with a foveal lesion in the right eye and was found to have hyperopic shift in the right eye. Optical coherence tomography demonstrated choroidal infiltration in the right eye, and computed tomography of the orbits demonstrated a left orbital mass. Biopsy of the left orbital mass confirmed chronic lymphocytic leukemia/small lymphocytic leukemia. Oral ibrutinib monotherapy of 140 mg three times daily was initiated for treatment of these choroidal and orbital metastases, and at 6 months, there was clinical resolution of disease. Cessation of ibrutinib monotherapy was followed 7 months later by recurrence of choroidal disease. Reinitiation of ibrutinib monotherapy 140 mg three times daily led again to clinical disease resolution, and durable remission has been attained on a well-tolerated low maintenance dose of ibrutinib 140 mg two times daily. CONCLUSION: This is the first reported case of control of choroidal and orbital metastasis of chronic lymphocytic leukemia with ibrutinib monotherapy, confirmed with choroidal recurrence on drug cessation and clinical resolution of disease on re-treatment.

Beyond Particulate Matter Mass: Heightened Levels of Lead and Other Pollutants Associated with Destructive Fire Events in California.

As the climate warms, wildfire activity is increasing, posing a risk to human health. Studies have reported on particulate matter (PM) in wildfire smoke, yet the chemicals associated with PM have received considerably less attention. Here, we analyzed 13 years (2006-2018) of PM2.5 chemical composition data from monitors in California on smoke-impacted days. Select chemicals (e.g., aluminum and sulfate) were statistically elevated on smoke-impacted days in over half of the years studied. Other chemicals, mostly trace metals harmful to human health (e.g., copper and lead), were elevated during particular fires only. For instance, in 2018, lead was more than 40 times higher on smoke days on average at the Point Reyes monitoring station, due mostly to the Camp Fire, burning approximately 200 km away. There was an association between these metals and the combustion of anthropogenic material (e.g., the burning of houses and vehicles). Although still currently rare, these infrastructure fires are likely becoming more common and can mobilize trace metals in smoke far downwind, at levels generally unseen except in the most polluted areas of the country. We hope a better understanding of the chemicals in wildfire smoke will assist in the communication and reduction of public health risks.

Unsupervised classification of voltammetric data beyond principal component analysis.

In this study, we evaluate different apoproaches to unsupervised classification of cyclic voltammetric data, including Principal Component Analysis (PCA), t-distributed Stochastic Neighbour Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP) as well as neural networks. To this end, we exploit a form of transfer learning, based on feature extraction in an image recognition network, VGG-16, in combination with PCA, t-SNE or UMAP. Overall, we find that t-SNE performs best when applied directly to numerical data (noise-free case) or to features (in the presence of noise), followed by UMAP and then PCA.

A national train-the-trainer program to enhance police response to veterans with mental health issues: Primary officer and trainer outcomes and material dissemination.

Law enforcement officers (LEOs) may play the most important role in directing people in mental health crises into treatment versus incarceration. While most military veterans will never experience a crisis interaction with LEOs, they represent an important at-risk target group for whom to enhance LEO response. The evidence supporting LEO crisis training models includes important limitations that stem from jurisdiction-limited studies, and emphasize LEOs who volunteer for mental health training. The current study reports the primary outcomes of a national (U.S.) large-scale mandated train-the-trainer program to enhance VA LEO response to military veterans with mental health issues. Multidisciplinary teams comprised of VA LEOs, Veterans Justice Outreach Specialists, and mental health professionals (n = 245) were trained in two nested waves. Both trainers and endpoint LEOs (n = 1,284) improved from pretest to posttest on knowledge and skills in identifying psychological services and related treatment referral resources and cross-discipline collaboration, the latter of which showed some retention at 3-month follow-up. The findings support the potential for LEOs mandated to training to improve in important prerequisites to diverting people with mental health issues into care, and away from the criminal justice system. Such results may require professional trainers of LEOs who have themselves received relevant specific training. Potential cautions of such an approach, including inter-team differences and potential for publication bias in extant literature, are also elucidated by the current methodology. The links to all of the collaboratively-developed curriculum materials from the current study are provided for use by qualified professionals. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Community-based participatory research with police: Development of a tech-enhanced structured suicide risk assessment and communication smartphone application.

OBJECTIVE: Police officers initiate psychiatric holds following determination of suicide risk. Such referrals constitute direct decriminalization of mental illness at the single most efficient criminal justice system diversion point. However, system-level problems with this process highlight a need to further understand and improve this service connection juncture. The goal of the present study was to inform the development of a smartphone application designed to enhance police referrals of individuals experiencing suicide crises into treatment via culturally responsive structured professional judgment. HYPOTHESES: Given the developmental and qualitative nature of this study, there were no formal hypotheses tested. Research questions included the following: Would police officers broadly endorse concerns about the care referral process? Would officers support the use of technology to assist with those concerns? And would officers raise concerns about the demands on time and expertise that would be placed on them to conduct thorough risk assessments? METHOD: Researchers used community-based participatory research (CBPR) methods to obtain police stakeholder-driven data through four focus groups with 47 police officers (76.6% male, 59.6% White, with a mean of 10.7 years of police employment) sampled from patrol and hostage negotiation units. Participants shared information about specific problems arising in the process through which police refer people to medical care, and they gave feedback on the beta version of a culturally responsive mobile app designed to streamline officers' evidence-based and culturally informed determinations of suicide risk. RESULTS: Results, qualitatively coded using grounded theory methodology, yielded key considerations for police use of culturally responsive apps to divert individuals in suicidal crisis into treatment, including the need to maintain a balance between risk assessment and communication, allow for variance in time constraints, allow for flexibility in response and report options, account for inaccurate reports of suicide risk factors, maximize utility of the app's risk report output, incorporate sensitivity around cultural questions, and consider officers' safety in their use of the app in the field. CONCLUSIONS: The results illustrate a theoretically based (CBPR) approach to cross-disciplinary technology development to facilitate evidence-based assessments by law enforcement. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Using Multiobjective Optimization to Inform Green Infrastructure Decisions as Part of Robust Integrated Water Resources Management Plans.

Uncertainty in the impacts of climate change and development on freshwater resources pose significant challenges for water resources management. Integrated and adaptive approaches to water resources management are a promising means of addressing uncertainty that afford flexibility in balancing multiple stakeholder objectives. However, guidance on designing such plans is lacking. In this study, we use multi-objective optimization to strategically incorporate green infrastructure (GI) into water resources management plans that maximize reductions in nutrient loads, minimize stormwater runoff, and minimize costs. Robust decision-making methods are applied to the resulting plan options to evaluate how optimized GI implementation varies under different possible future climates and to determine which solutions would be robust under a range of plausible future conditions. We demonstrate these coupled methods using a case study in southern Massachusetts, to address water quality issues related to point and nonpoint source nutrients in a rapidly developing watershed.

Using hydrologic landscape classification and climatic time series to assess hydrologic vulnerability of the western U.S. to climate.

We apply the hydrologic landscape (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts of hydrologic vulnerability for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We use the hydrologic landscape vulnerability approach (HLVA) to map the HLVA index (an assessment of climate vulnerability) by integrating hydrologic landscapes into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are beyond 2 standard deviations of the historical decadal average contribute to the HLVA index for each metric. Separating vulnerability into these seven separate metrics allows stakeholders and/or water resource managers to have a more specific understanding of the potential impacts of future conditions. We also apply this approach to examine case studies. The case studies (Mt. Hood, Willamette Valley, and Napa-Sonoma Valley) are important to the ski and wine industries and illustrate how our approach might be used by specific stakeholders. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially uniform as temperature. The highest-elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the west are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how HL and the HLVA can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and HLVA, resource managers could consider future climate conditions in their decisions about managing important economic and conservation resources.

The Indiana Learning Health System Initiative: Early experience developing a collaborative, regional learning health system.

INTRODUCTION: Learning health systems (LHSs) are usually created and maintained by single institutions or healthcare systems. The Indiana Learning Health System Initiative (ILHSI) is a new multi-institutional, collaborative regional LHS initiative led by the Regenstrief Institute (RI) and developed in partnership with five additional organizations: two Indiana-based health systems, two schools at Indiana University, and our state-wide health information exchange. We report our experiences and lessons learned during the initial 2-year phase of developing and implementing the ILHSI. METHODS: The initial goals of the ILHSI were to instantiate the concept, establish partnerships, and perform LHS pilot projects to inform expansion. We established shared governance and technical capabilities, conducted a literature review-based and regional environmental scan, and convened key stakeholders to iteratively identify focus areas, and select and implement six initial joint projects. RESULTS: The ILHSI successfully collaborated with its partner organizations to establish a foundational governance structure, set goals and strategies, and prioritize projects and training activities. We developed and deployed strategies to effectively use health system and regional HIE infrastructure and minimize information silos, a frequent challenge for multi-organizational LHSs. Successful projects were diverse and included deploying a Fast Healthcare Interoperability Standards (FHIR)-based tool across emergency departments state-wide, analyzing free-text elements of cross-hospital surveys, and developing models to provide clinical decision support based on clinical and social determinants of health. We also experienced organizational challenges, including changes in key leadership personnel and varying levels of engagement with health system partners, which impacted initial ILHSI efforts and structures. Reflecting on these early experiences, we identified lessons learned and next steps. CONCLUSIONS: Multi-organizational LHSs can be challenging to develop but present the opportunity to leverage learning across multiple organizations and systems to benefit the general population. Attention to governance decisions, shared goal setting and monitoring, and careful selection of projects are important for early success.

Seroprevalence of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) antibodies among healthcare workers with differing levels of coronavirus disease 2019 (COVID-19) patient exposure.

Healthcare employees were tested for antibodies against severe acute respiratory coronavirus virus 2 (SARS-CoV-2). Among 734 employees, the prevalence of SARS-CoV-2 antibodies was 1.6%. Employees with heavy coronavirus disease 2019 (COVID-19) exposure had similar antibody prevalence as those with limited or no exposure. Guidelines for PPE use seem effective for preventing COVID-19 infection in healthcare workers.

Is the Sum Greater than its Parts? Variations in Substance-Related Consequences by Conjoint Alcohol-Marijuana Use Patterns.

Alcohol and marijuana are the most commonly used substances for college-attending young adults. This study evaluated differences in substance-specific consequence attribution by alcohol-marijuana use patterns (concurrent alcohol and marijuana [CAM; use of both substances, not at same time] and simultaneous [SAM; use of both, at same time]) as well as alcohol-only (AO). First-year college students with prior alcohol use (N = 610, 50.9% women, 71% White, Mage = 18) completed an online assessment of past-three-month substance use, including SAM, and related consequences. Results indicated that polydrug (SAM and CAM) users reported greater alcohol involvement and earlier alcohol initiation than AO, and polydrug use was associated with more alcohol-related problems, including sexual risk taking and alcohol-related blackouts. When restricted to SAM/CAM users, logistic regressions indicated that SAM users reported an increased incidence in two marijuana-related problems relative to CAM (driving after using and academic difficulties), but lower rates of social problems. SAM users were also less likely to attribute substance-related social problems to alcohol. Overall, findings highlight variations that exist within alcohol-marijuana polydrug users and show areas to consider for intervention development and future research.

Limited data to support improved outcomes after community paramedicine intervention: A systematic review.

BACKGROUND: Community paramedicine (CP) leverages trained emergency medical services personnel outside of emergency response as an innovative model of health care delivery. Often used to bridge local gaps in healthcare delivery, the CP model has existed for decades. Recently, the number of programs has increased. However, the level of robust data to support this model is less well known. OBJECTIVE: To describe the evidence supporting community paramedicine practice. DATA SOURCES: OVID, PubMed, SCOPUS, EMBASE, Google Scholar-WorldCat, OpenGrey. STUDY APPRAISAL AND SYNTHESIS METHODS: Three people independently reviewed each abstract and subsequently eligible manuscript using prespecified criteria. A narrative synthesis of the findings from the included studies, structured around the type of intervention, target population characteristics, type of outcome and intervention content is presented. RESULTS: A total of 1098 titles/abstracts were identified. Of these 21 manuscripts met our eligibility criteria for full manuscript review. After full manuscript review, only 6 ultimately met all eligibility criteria. Given the heterogeneity of study design and outcomes, we report a description of each study. Overall, this review suggests CP is effective at reducing acute care utilization. LIMITATIONS: The small number of available manuscripts, combined with the lack of robust study designs (only one randomized controlled trial) limits our findings. CONCLUSIONS: Initial studies suggest benefits of the CP model; however, notable evidence gaps remain.

Rising Sea Levels: Helping Decision-Makers Confront the Inevitable.

Sea-level rise (SLR) is not just a future trend; it is occurring now in most coastal regions across the globe. It thus impacts not only long-range planning in coastal environments, but also emergency preparedness. Its inevitability and irreversibility on long time scales, in addition to its spatial non-uniformity, uncertain magnitude and timing, and capacity to drive non-stationarity in coastal flooding on planning and engineering timescales, create unique challenges for coastal risk-management decision processes. This review assesses past United States federal efforts to synthesize evolving SLR science in support of coastal risk management. In particular, it outlines the: (1) evolution in global SLR scenarios to those using a risk-based perspective that also considers low-probability but high-consequence outcomes, (2) regionalization of the global scenarios, and (3) use of probabilistic approaches. It also describes efforts to further contextualize regional scenarios by combining local mean sea-level changes with extreme water level projections. Finally, it offers perspectives on key issues relevant to the future uptake, interpretation, and application of sea-level change scenarios in decision-making. These perspectives have utility for efforts to craft standards and guidance for preparedness and resilience measures to reduce the risk of coastal flooding and other impacts related to SLR.

Heat-Related Health Impacts under Scenarios of Climate and Population Change.

Recent assessments have found that a warming climate, with associated increases in extreme heat events, could profoundly affect human health. This paper describes a new modeling and analysis framework, built around the Benefits Mapping and Analysis Program-Community Edition (BenMAP), for estimating heat-related mortality as a function of changes in key factors that determine the health impacts of extreme heat. This new framework has the flexibility to integrate these factors within health risk assessments, and to sample across the uncertainties in them, to provide a more comprehensive picture of total health risk from climate-driven increases in extreme heat. We illustrate the framework's potential with an updated set of projected heat-related mortality estimates for the United States. These projections combine downscaled Coupled Modeling Intercomparison Project 5 (CMIP5) climate model simulations for Representative Concentration Pathway (RCP)4.5 and RCP8.5, using the new Locating and Selecting Scenarios Online (LASSO) tool to select the most relevant downscaled climate realizations for the study, with new population projections from EPA's Integrated Climate and Land Use Scenarios (ICLUS) project. Results suggest that future changes in climate could cause approximately from 3000 to more than 16,000 heat-related deaths nationally on an annual basis. This work demonstrates that uncertainties associated with both future population and future climate strongly influence projected heat-related mortality. This framework can be used to systematically evaluate the sensitivity of projected future heat-related mortality to the key driving factors and major sources of methodological uncertainty inherent in such calculations, improving the scientific foundations of risk-based assessments of climate change and human health.

Mobile integrated health to reduce post-discharge acute care visits: A pilot study.

BACKGROUND: Mobile Integrated Health (MIH) leverages specially trained paramedics outside of emergency response to bridge gaps in local health care delivery. STUDY OBJECTIVE: To evaluate the efficacy of a MIH led transitional care strategy to reduce acute care utilization. METHODS: This was a retrospective cohort analysis of a quality improvement pilot of patients from an urban, single county EMS, MIH transitional care initiative. We utilized a paramedic/social worker (or social care coordinator) dyad to provide in home assessments, medication review, care coordination, and improve access to care. The primary outcome compared acute care utilization (ED visits, observation stays, inpatient visits) 90days before MIH intervention to 90days after. RESULTS: Of the 203 patients seen by MIH teams, inpatient utilization decreased significantly from 140 hospitalizations pre-MIH to 26 post-MIH (83% reduction, p=0.00). ED and observation stays, however, increased numerically, but neither was significant. (ED 18 to 19 stays, p=0.98; observation stays 95 to 106, p=0.30) Primary care visits increased 15% (p=0.11). CONCLUSION: In this pilot before/after study, MIH significantly reduces acute care hospitalizations.

Healthcare outcomes in undocumented immigrants undergoing two emergency dialysis approaches
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BACKGROUND: Current estimates suggest 6,500 undocumented end-stage renal disease (ESRD) patients in the United States are ineligible for scheduled hemodialysis and require emergent dialysis. In order to remain in compliance with Emergency Medicaid, an academic health center altered its emergency dialysis criteria from those emphasizing interdialytic interval to a set emphasizing numerical thresholds. We report the impact of this administrative change on the biochemical parameters, utilization, and adverse outcomes in an undocumented patient cohort. METHODS: This retrospective case series examines 19 undocumented ESRD patients during a 6-month transition divided into three 2-month periods (P1, P2, P3). In P1, patients received emergent dialysis based on interdialytic interval and clinical judgment. In P2 (early transition) and P3 (equilibrium), patients were dialyzed according to strict numerical criteria coupled with clinical judgment. RESULTS: Emergent criteria-based dialysis (P2 and P3) was associated with increased potassium, blood urea nitrogen (BUN), and acidosis as compared to P1 (p < 0.05). Overnight hospitalizations were more common in P2 and P3 (p < 0.05). More frequent adverse events were noted in P2 as compared to P1 and P3, with an odds ratio (OR) for the composite endpoint (intubation, bacteremia, myocardial infarction, intensive care unit admission) of 48 (5.9 - 391.2) and 16.5 (2.5 - 108.6), respectively. Per-patient reimbursement-to-cost ratios increased during criteria-based dialysis periods (P1: 1.49, P2: 2.3, P3: 2.49). DISCUSSION: Strict adherence to criteria-based dialysis models increases biochemical abnormalities while improving Medicaid reimbursement for undocumented immigrants. Alternatives to emergent dialysis are required which minimize cost, while maintaining dignity, safety, and quality of life.
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Noninvasive sphenopalatine ganglion block for acute headache in the emergency department: a randomized placebo-controlled trial.

STUDY OBJECTIVE: We seek to test the efficacy of noninvasive sphenopalatine ganglion block for the treatment of acute anterior headache in the emergency department (ED) using a novel noninvasive delivery device. METHODS: We conducted a randomized, double-blind, placebo-controlled trial evaluating bupivacaine anesthesia of the sphenopalatine ganglion for acute anterior or global-based headache. This study was completed in 2 large academic EDs. Bupivacaine or normal saline solution was delivered intranasally (0.3 mL per side) with the Tx360 device. Pain and nausea were measured at 0, 5, and 15 minutes by a 100-mm visual analog scale. The primary endpoint was a 50% reduction in pain at 15 minutes. Telephone follow-up assessed 24-hour pain and nausea through a 0- to 10-point verbal scale and adverse effects. RESULTS: The median reported baseline pain in the bupivacaine group was 80 mm (IQR 66 mm - 93 mm) and 78.5 mm (IQR 64 mm to 91.75 mm) in the normal saline solution group. A 50% reduction in pain was achieved in 48.8% of the bupivacaine group (20/41 patients) versus 41.3% in the normal saline solution group (19/46 patients), for an absolute risk difference of 7.5% (95% confidence interval [CI] -13% to 27.1%). As a secondary outcome, at 24 hours, more patients in the bupivacaine group were headache free (24.7% difference; 95% CI 2.6% to 43.6%) and more were nausea free (16.9% difference; 95% CI 0.8% to 32.5%). CONCLUSION: For patients with acute anterior headache, sphenopalatine ganglion block with the Tx360 device with bupivacaine did not result in a significant increase in the proportion of patients achieving a greater than or equal to 50% reduction in headache severity at 15 minutes compared with saline solution applied in the same manner.

Coping among military veterans with PTSD in substance use disorder treatment.

We longitudinally investigated coping among male military veterans (n = 98) with posttraumatic stress disorder (PTSD) symptomatology and a co-occurring substance use disorder (SUD) who participated in a randomized controlled trial of seeking safety (SS). Participants were randomized to SS or intensive treatment-as-usual (TAU) for SUD. Coping (active, avoidant, emotional discharge), and PTSD and SUD symptomatology were measured prior to and at the end of treatment, and at 6- and 12-month follow-ups. Among the total sample, we found that: (a) avoidant and emotional discharge, but not active, coping tended to be positively associated with PTSD and SUD symptomatology at baseline; (b) active coping increased and avoidant and emotional discharge coping decreased during the 12-month time-period; and (c) avoidant and emotional discharge, but not active, coping longitudinally covaried with PTSD and SUD symptomatology. Results suggest the utility of targeting maladaptive coping in treatments for individuals with co-occurring PTSD and SUD.