Adverse childhood experiences and early initiation of substance use: A survival analysis.

OBJECTIVE: Early adversity, such as adverse childhood experiences (ACEs), is a risk factor for the development of substance use disorder (SUD). ACEs are associated with earlier initiation of substance use. This study examined the relationship between ACEs and age of initiation of substance use using survival analysis. It is hypothesized that individuals with higher ACEs will have an earlier age of initiation. METHOD: Participants were recruited from the University of Kentucky's Laboratory for Human Behavioral Pharmacology. Participants were 18 years or older, English speaking, and actively engaged in substance use. Participants were not in substance abuse treatment nor were they seeking treatment. ACE scores were calculated, and age of substance use initiation was recorded. A Cox proportional hazard model was used to examine the effect of ACE score on age of substance use initiation. RESULTS: A total of 107 participants completed the study. An average number of 2.3 ACEs (SD = 2.2) were endorsed with 24% of participants reporting 4 or more ACEs. Higher ACE scores were associated with cigarette smoking and non-medical prescription opioid use onset ( hazard ratio (HR) = 1.14, 95% CI=1.02-1.28, p = 0.02, and HR=1.19, 95% CI = 1.04-1.37, p = 0.01, respectively. CONCLUSIONS: A significant association was found between higher ACE scores and earlier initiation of cigarette and non-medical prescription opioid use, consistent with prior research. Primary prevention of ACEs, screening for ACEs during childhood, and interventions for ACEs if detected, may help to reduce the risk of substance use/SUD in adulthood.

A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models.

Opioid use disorder (OUD) is a leading cause of death in the United States placing a tremendous burden on patients, their families, and health care systems. Artificial intelligence (AI) can be harnessed with available healthcare data to produce automated OUD prediction tools. In this retrospective study, we developed AI based models for OUD prediction and showed that AI can predict OUD more effectively than existing clinical tools including the unweighted opioid risk tool (ORT). Data include 474,208 patients' data over 10 years; 269,748 were females with an average age of 56.78 years. Cases are prescription opioid users with at least one diagnosis of OUD or at least one prescription for buprenorphine or methadone. Controls are prescription opioid users with no OUD diagnoses or buprenorphine or methadone prescriptions. On 100 randomly selected test sets including 47,396 patients, our proposed transformer-based AI model can predict OUD more efficiently (AUC = 0.742 ± 0.021) compared to logistic regression (AUC = 0.651 ± 0.025), random forest (AUC = 0.679 ± 0.026), xgboost (AUC = 0.690 ± 0.027), long short-term memory model (AUC = 0.706 ± 0.026), transformer (AUC = 0.725 ± 0.024), and unweighted ORT model (AUC = 0.559 ± 0.025). Our results show that embedding AI algorithms into clinical care may assist clinicians in risk stratification and management of patients receiving opioid therapy.

Relationships among adverse childhood experiences, delay discounting, impulsivity, and diabetes self-management.

OBJECTIVE: Adverse childhood experiences (ACEs) have been linked to risky health behaviors, as well as the development of chronic health conditions such as both type 1 and type 2 diabetes mellitus. A connection between ACEs and diabetes self-management has not yet been established. The current study aims to investigate the relationships among ACEs, delay discounting, impulsivity, and diabetes self-management. METHOD: A total of 227 adults aged 18 to 77 with type 1 diabetes, type 2 diabetes, and prediabetes were recruited to complete an online survey via Amazon's mechanical Turk. Participants completed validated measures of diabetes self-care, delay discounting, and impulsivity, as well as questions regarding diabetes history and financial strain. RESULTS: In the overall sample and controlling for financial strain, increased number of ACEs was significantly associated with poorer diabetes management (r = -.15, p < .05). Higher delay discounting was associated with fewer ACEs (r = -.31, p < .05) and better diabetes care (r = .42, p < .01), as well as increased number of diabetes-related complications (r = .33, p < .01), controlling for financial strain. Participants who use insulin to manage their diabetes had significantly better diabetes self-care scores (t(225) = 8.19, p < .01), higher levels of delay discounting (t(101) = 3.15, p < .01), and fewer reported ACEs (t(224) = -2.19, p < .05). CONCLUSIONS: ACEs are associated with poorer diabetes self-management later in life. This may be an important consideration for clinicians treating patients with diabetes and prediabetes. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Effects of Trauma and Anxiety on Adherence in Pediatric Type 1 Diabetes.

Background: Psychiatric factors such as depression, anxiety, and life stressors have been shown to negatively affect diabetes self-management and A1C in children and adolescents. However, less is known about how trauma exposure and symptoms of post-traumatic stress disorder (PTSD) may affect type 1 diabetes. Objectives: To determine the rates of trauma exposure and PTSD symptoms in patients aged 7-21 years with type 1 diabetes and to examine the relationships among trauma exposure, PTSD, anxiety, depression, and diabetes self-management. Methods: Patients underwent standardized psychiatric screening questionnaires during clinic visits. A1C at goal was defined as <7.0%, and behavioral adherence was defined as specific parameters of blood glucose monitoring. χ2 and Fisher exact tests were used to assess the relationships among trauma, PTSD, anxiety, and behavioral adherence. ANOVA was conducted to examine group differences between A1C and the presence of suicidal ideation. Results: Of the participants, 38.4% (n = 99, mean age 13.8 ± 3.5 years, 51.5% female) had trauma symptoms and functional impairment concerning for PTSD. Rates of trauma secondary to accidental injury, medical traumatic stress, natural disaster, and witness to family violence were 28.3, 22.2, 10.1, and 6.1%, respectively. Neither PTSD nor anxiety nor depression symptoms were associated with behavioral nonadherence (P = 0.546, P = 0.337, and P = 0.697, respectively), but the subscales for significant school avoidance and generalized anxiety disorders were associated with behavioral nonadherence (P = 0.023 and P = 0.032, respectively). Those who reported suicidal ideation had higher mean A1C than those who did not (A1C 8.9 vs. 8.3, P = 0.047). Conclusion: Although trauma was common among youth with type 1 diabetes, neither trauma nor PTSD was associated with changes to self-management. However, certain forms of anxiety and suicidal ideation were associated with poor self-management and higher A1C, respectively.

Training Needs Assessment Survey in Pediatric Consultation-Liaison Psychiatry.

OBJECTIVE: Despite growing recognition of how curriculum modules can benefit child and adolescent psychiatry (CAP) training, there are few standardized teaching resources for pediatric consultation-liaison psychiatry (PCLP). A Special Interest Group (SIG) of the American Academy of Child and Adolescent Psychiatry Physically Ill Child Committee (PICC) conducted a needs assessment to establish interest in, and availability of, a library of online, self-paced learning modules specific to PCLP. METHOD: An email needs assessment survey was distributed to the PICC listserv in the fall of 2019 with four core areas of inquiry: (1) clinical service description, (2) teaching barriers, (3) interest in curriculum resources, and (4) interest in evaluation resources. RESULTS: Respondents were representative of typical academic PCLP programs. The response rate was 28% (n = 39). Programs endorsed barriers to teaching including high service obligations and limited protected teaching time. All respondents indicated that they would utilize high-quality, online learning modules. Psychiatric complications of medical illness, catatonia, and delirium were identified as priority topics in the care of pediatric patients with comorbid medical conditions. CONCLUSIONS: There are currently no published educational studies regarding the training needs for PCLP programs, even among tertiary care academic facilities. This training needs assessment is the first step in establishing a national PCLP training curriculum. New paradigms to develop standardized curriculum resources for PCLP are needed.

Sexual Violence Perpetration as a Risk Factor for Current Depression or Posttraumatic Symptoms in Adolescents.

Sexual violence perpetration (SVP), including coerced, physically forced, and alcohol- or drug-facilitated unwanted sex, occurs frequently in adolescence and may represent a risk factor for future perpetration. Sexual violence victimization (SVV) has been found to be a risk factor for increased rates of depression and posttraumatic stress disorder (PTSD); however, the associations of SVP with depression or posttraumatic stress symptoms (PTSS) have been less well described. This study examined associations between symptoms of depression and PTSS with SVP in the prior 12 months among high school students. In this cross-sectional analysis, a representative sample of public high school students (ninth-12th grades) completed self-reported surveys on peer SVP and SVV within the past year. Among 16,784 students completing surveys, 7.2% disclosed SVP against another high school student in the past 12 months; 64.4% of students disclosing SVP also experienced SVV. Both SVP and SVV, alone or in combination, were associated with a greater likelihood of symptoms of depression or PTSS. These associations were similar by sex and sexual minority status (e.g., lesbian, gay, bisexual, transgender, and queer [LGBTQ+]). These findings highlight the need for continued primary prevention efforts. Additional screening to recognize adolescent SVP can allow both early treatment of depression and PTSD and address the individual risks of SVP to reduce subsequent repeated sexual assaults.

Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer.

Opioid Use Disorder (OUD) is a public health crisis costing the US billions of dollars annually in healthcare, lost workplace productivity, and crime. Analyzing longitudinal healthcare data is critical in addressing many real-world problems in healthcare. Leveraging the real-world longitudinal healthcare data, we propose a novel multi-stream transformer model called MUPOD for OUD identification. MUPOD is designed to simultaneously analyze multiple types of healthcare data streams, such as medications and diagnoses, by attending to segments within and across these data streams. Our model tested on the data from 392,492 patients with long-term back pain problems showed significantly better performance than the traditional models and recently developed deep learning models.

Assessing adolescent tobacco use in a substance use treatment program with self-report and biological measures.

Tobacco use in adolescents can alter their lifetime health outcomes. Despite the importance of early identification and treatment, adolescent tobacco use, including that of electronic vapor products (e.g., e-cigarettes), is often missed. In a state-funded substance use treatment program, we added biological measures, including urinary cotinine and exhaled carbon monoxide to self-report measures to assess recent and lifetime tobacco use. We conducted a retrospective review of the de-identified charts to examine the feasibility of screening for self-report and biological measures of tobacco use. Self-report, urinary cotinine, and exhaled carbon monoxide samples were obtained at every visit, including intake and follow-up. There were 52 adolescents with a total of 400 clinic visits to the program. Of those 400 visits, 258 included self-reported tobacco use and 142 included a denial of using any form of tobacco. However, of those 142 visits with a negative self-report of tobacco, 31 tested positive for cotinine and 6 had positive exhaled carbon monoxide. Although 111 of the 142 had negative cotinine, 5 had positive carbon monoxide, but all of those self-reported recent cannabis use. Despite using a sensitive measure of self-report of tobacco use, almost 22% of visits had a discordant self-report with a biological measure that indicated tobacco use. Considering the lifelong impact of adolescent tobacco use, clinicians should consider augmenting self-report with biological measures of tobacco use. Identification of tobacco use in adolescents with substance use can assist clinicians in providing education about tobacco use, such as electronic vapor products, and individualizing treatments.

Integrating data science into the translational science research spectrum: A substance use disorder case study.

The availability of large healthcare datasets offers the opportunity for researchers to navigate the traditional clinical and translational science research stages in a nonlinear manner. In particular, data scientists can harness the power of large healthcare datasets to bridge from preclinical discoveries (T0) directly to assessing population-level health impact (T4). A successful bridge from T0 to T4 does not bypass the other stages entirely; rather, effective team science makes a direct progression from T0 to T4 impactful by incorporating the perspectives of researchers from every stage of the clinical and translational science research spectrum. In this exemplar, we demonstrate how effective team science overcame challenges and, ultimately, ensured success when a diverse team of researchers worked together, using healthcare big data to test population-level substance use disorder (SUD) hypotheses generated from preclinical rodent studies. This project, called Advancing Substance use disorder Knowledge using Big Data (ASK Big Data), highlights the critical roles that data science expertise and effective team science play in quickly translating preclinical research into public health impact.

Neonatal Abstinence Syndrome and Childhood Mental Health Conditions, 2009-2015: Commercial Versus Medicaid Populations.

OBJECTIVE: This study aimed to examine mental health conditions of children diagnosed with neonatal abstinence syndrome (NAS) in a commercially insured population and compare them with a multistate Medicaid-insured population identified in prior research. METHODS: Data from the IBM MarketScan Commercial Database from January 1, 2009, to September 30, 2015, were used to identify mental health conditions among children ages 1-5 both with and without NAS. Frequency analyses were conducted to ascertain intrapopulation differences and differences between the commercially insured and Medicaid populations. RESULTS: The NAS rate in the Medicaid population was 28.7 times higher than in the commercially insured population. Although the sample of children with NAS was small, and the results must be interpreted with caution, elevated rates of childhood mental health conditions observed in the commercially insured population were comparable to the Medicaid population. CONCLUSIONS: This analysis emphasizes the difference in rates of NAS between commercially insured and Medicaid populations.

Comparing Changes in Controlled Substance Prescribing Trends by Provider Type.

BACKGROUND AND OBJECTIVES: Forty-nine out of 50 states have implemented Prescription Drug Monitoring Programs (PDMPs) to monitor controlled substance (CS) prescribing. PDMPs change health care provider behavior, but few studies have examined changes in CS prescription by health care provider type. METHODS: Aggregated yearly data, including number of CS prescriptions, doses, and doses per prescription by health care provider type (physician, advanced practice registered nurse [APRN], and dentist) for each year from 2011 to 2017 was provided by the state PDMP, Kentucky All Schedule Prescription Electronic Reporting System (KASPER). In aggregate, this data set included 64,578,307 total prescriptions and 3,982,130,994 total doses of Schedule II-V medications. RESULTS: Physicians and dentists showed a trend of decreasing prescriptions and doses for Schedule II opioids from 2012 to 2017 (27-32% reduction in 2017 compared to 2011). APRNs showed a substantive increase in the number of doses and prescriptions (121-204% increase in 2017 compared to 2011), with increases remaining when controlling for number of providers. Physicians increased doses and prescriptions of Schedule II stimulants (37% increase for both doses and prescriptions), but by a smaller magnitude than APRN increases in stimulants (334-360% increase). Dentists showed decreases in Schedule II stimulants prescribed (69-80% reduction). Similar trends, but more modest in magnitude, were observed for Schedule III-IV. DISCUSSION AND CONCLUSIONS: Although monitoring and continuing education requirements are similar across all providers in Kentucky, differences in prescription trends for Schedule II opioids and stimulants were noted for physicians, APRNs, and dentists. SCIENTIFIC SIGNIFICANCE: Changes in prescribing following introduction of mandatory use of KASPER markedly differed based on provider type, with increases observed for APRNs compared with physicians and dentists. These findings advance prior research by providing a detailed examination of prescribing trends by provider type subsequent to a PDMPs mandatory use law. (Am J Addict 2019;00:00-00).

Core Competencies for Pediatric Consultation-Liaison Psychiatry in Child and Adolescent Psychiatry Fellowship Training.

BACKGROUND: Learners developing competency-based skills, attitudes, and knowledge through the achievement of defined milestones is a core feature of competency-based medical education. In 2017, a special interest study group of the American Academy of Child and Adolescent Psychiatry convened a panel of specialists to describe pediatric consultation-liaison psychiatry (CLP) best educational practices during child and adolescent psychiatry fellowship. OBJECTIVE: The objective of this project was to develop a national consensus on pediatric CLP competencies to help guide training in this specialty. METHODS: An expert working group developed a list of candidate competences based on previously established educational outcomes for CLP (formerly Psychosomatic Medicine), child and adolescent psychiatry, and general psychiatry. A survey was distributed to members of the American Academy of Child and Adolescent Psychiatry Physically Ill Child Committee to determine child and adolescent psychiatry fellowship educational needs on pediatric CLP services and generate consensus regarding pediatric CLP competencies. RESULTS: Most survey respondents were supportive of the need for a national consensus on core competencies for pediatric CLP. Consensus from a panel of experts in the field of pediatric CLP generated a list of proposed core competencies that track the Accreditation Council for Graduate Medical Education's six core competencies. CONCLUSIONS: Consistent learning outcomes provide the foundation for further development of tools to support training in pediatric CLP. There is a need to develop further tools including outcome assessment instruments and self-directed learning materials that can be used to support lifelong learning.

Adverse Childhood Experiences, Tobacco Use, and Obesity: A Crowdsourcing Study.

Background: Exposure to adverse childhood experiences (ACEs) increases health risk behavior in adulthood and is a risk for premature mortality. For example, ACEs are associated with both tobacco smoking and obesity, which remain significant health challenges for many adults, despite widespread knowledge about the risks. Objective: The present investigation used a novel online crowdsourcing platform (Amazon.com mechanical turk) to study the relationship between ACEs and later tobacco smoking and obesity. Methods: Participants were recruited based on smoking (n = 74 smokers; n = 75 nonsmokers) and stratified based on obesity (n = 52 BMI ≥ 30; n = 97 BMI < 30). Participants had no recent history of other substance use, except alcohol. The relationship between ACE score and smoking and obesity categories was analyzed using logistic regression. Results: The average age of the sample was 38.6-years old and was mostly female (66.4%), employed (82.6%) and college educated (63.1%). Those with 4+ ACEs had a significantly greater odds of cigarette use. Any ACEs exposure was associated with a significantly greater odds of obesity. Conclusions/Importance: Findings are concordant with previous studies and suggest crowdsourcing is a viable platform for studying ACEs and health behavior. Access to large samples and specific populations provided by crowdsourcing could help examine theoretical models about how exposure to ACEs could be connected to later adoption of high-risk behaviors such as tobacco cigarette smoking and obesity.

Identifying the risk of suicide among adolescents admitted to a children's hospital using the Ask Suicide-Screening Questions.

PROBLEM: Suicides are now the second leading cause of death among teenagers and young adults, 10-24. Many people who die by suicide visit a healthcare provider in the months before their death. Unfortunately, many healthcare clinicians do not routinely screen for mental health concerns such as suicide risk even though the American Academy of Pediatrics recommends screening adolescents for suicide risk. METHODS: The Ask Suicide-Screening Questions (aSQ), a four-question screening instrument, was administered by nurses to all patients, 12 years and older, admitted to the general pediatric wards of a tertiary Children's Hospital. Nursing feedback and comfort levels were assessed before and after the 6-week pilot program. FINDINGS: During the 6 weeks, 152 eligible children were admitted to the general pediatric wards and 67 were screened using the ASQ; 3/67 had a nonacute "positive" screen and received a further psychiatric assessment. CONCLUSIONS: This pilot quality improvement initiative showed that suicide screening is feasible and acceptable to patients and families in a general pediatric inpatient setting. However, nurses would benefit from further teaching and training around asking suicide screening questions.