Long-Term Outcomes Associated With β-Lactam Allergies

Importance

β-lactam (BL) allergies are the most common drug allergy worldwide, but most are reported in error. BL allergies are also well-established risk factors for adverse drug events and antibiotic-resistant infections during inpatient health care encounters, but the understanding of the long-term outcomes of patients with BL allergies remains limited.

Objective

To evaluate the long-term clinical outcomes of patients with BL allergies.

Design, Setting, and Participants

This longitudinal retrospective cohort study was conducted at a single regional health care system in western Pennsylvania. Electronic health records were analyzed for patients who had an index encounter with a diagnosis of sepsis, pneumonia, or urinary tract infection between 2007 and 2008. Patients were followed-up until death or the end of 2018. Data analysis was performed from January 2022 to January 2024.

Exposure

The presence of any BL class antibiotic in the allergy section of a patient's electronic health record, evaluated at the earliest occurring observed health care encounter.

Main Outcomes and Measures

The primary outcome was all-cause mortality, derived from the Social Security Death Index. Secondary outcomes were defined using laboratory and microbiology results and included infection with methicillin-resistant Staphylococcus aureus (MRSA), Clostridium difficile, or vancomycin-resistant Enterococcus (VRE) and severity and occurrence of acute kidney injury (AKI). Generalized estimating equations with a patient-level panel variable and time exposure offset were used to evaluate the odds of occurrence of each outcome between allergy groups.

Results

A total of 20 092 patients (mean [SD] age, 62.9 [19.7] years; 12 231 female [60.9%]), of whom 4211 (21.0%) had BL documented allergy and 15 881 (79.0%) did not, met the inclusion criteria. A total of 3513 patients (17.5%) were Black, 15 358 (76.4%) were White, and 1221 (6.0%) were another race. Using generalized estimating equations, documented BL allergies were not significantly associated with the odds of mortality (odds ratio [OR], 1.02; 95% CI, 0.96-1.09). BL allergies were associated with increased odds of MRSA infection (OR, 1.44; 95% CI, 1.36-1.53), VRE infection (OR, 1.18; 95% CI, 1.05-1.32), and the pooled rate of the 3 evaluated antibiotic-resistant infections (OR, 1.33; 95% CI, 1.30-1.36) but were not associated with C difficile infection (OR, 1.04; 95% CI, 0.94-1.16), stage 2 and 3 AKI (OR, 1.02; 95% CI, 0.96-1.10), or stage 3 AKI (OR, 1.06; 95% CI, 0.98-1.14).

Conclusions and Relevance

Documented BL allergies were not associated with the long-term odds of mortality but were associated with antibiotic-resistant infections. Health systems should emphasize accurate allergy documentation and reduce unnecessary BL avoidance.

Pharmacist-implemented intervention to surmount COVID-19 vaccination hesitancy in adults with substance use disorders

DISCLAIMER

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

PURPOSE

Substance use disorders (SUDs) increase the risk and severity of infectious diseases, including coronavirus disease 2019 (COVID-19). Adults with a co-occurring SUD and psychiatric disorder were studied to elucidate the association between SUD severity and (1) COVID-19 vaccination status, (2) receptivity to a one-session intervention with a pharmacist advocating the benefits of vaccination, and (3) acceptance of referral for vaccination following the intervention.

METHODS

COVID-19 vaccination status was recorded in 460 adults with SUD (324 males and 136 females) upon entry into inpatient treatment. A 2-parameter item response theory (IRT) model quantified SUD severity. Pharmacist-delivered intervention, modeled after the screening, brief intervention, and referral to treatment (SBIRT) protocol, was offered to unvaccinated participants.

RESULTS

Higher SUD severity was associated with a lower vaccination rate. Nicotine, opioid, and sedative use disorders were most frequently associated with unvaccinated status. SUD severity was not associated with receptivity to intervention advocating vaccination or subsequent acceptance of a referral for vaccination. The portion of the sample that received the intervention was over 7 times more likely to accept a referral for vaccination when compared to participants who rejected the intervention (20.8% vs 2.8%).

CONCLUSION

Pharmacist-administered intervention produced motivation for vaccination in a number of recipients; however, receptivity to the intervention was not related to SUD severity.

Enhancing post-traumatic stress disorder patient assessment: Leveraging Natural Language Processing for Research of Domain Criteria Identification using electronic medical records

Background

Extracting research of domain criteria (RDoC) from high-risk populations like those with post-traumatic stress disorder (PTSD) is crucial for positive mental health improvements and policy enhancements. The intricacies of collecting, integrating, and effectively leveraging clinical notes for this purpose introduce complexities.

Methods

In our study, we created an NLP workflow to analyze electronic medical record (EMR) data, and identify and extract research of domain criteria using a pre-trained transformer-based natural language model, allmpnet-base-v2. We subsequently built dictionaries from 100,000 clinical notes and analyzed 5.67 million clinical notes from 38,807 PTSD patients from the University of Pittsburgh Medical Center. Subsequently, we showcased the significance of our approach by extracting and visualizing RDoC information in two use cases: (i) across multiple patient populations and (ii) throughout various disease trajectories.

Results

The sentence transformer model demonstrated superior F1 macro scores across all RDoC domains, achieving the highest performance with a cosine similarity threshold value of 0.3. This ensured an F1 score of at least 80% across all RDoC domains. The study revealed consistent reductions in all six RDoC domains among PTSD patients after psychotherapy. Women had the highest abnormalities of sensorimotor systems, while veterans had the highest abnormalities of negative and positive valence systems. The domains following first diagnoses of PTSD were associated with heightened cue reactivity to trauma, suicide, alcohol, and substance consumption.

Conclusions

The findings provide initial insights into RDoC functioning in different populations and disease trajectories. Natural language processing proves valuable for capturing real-time, context dependent RDoC instances from extensive clinical notes.

Prediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models

BACKGROUND

Identifying co-occurring mental disorders and elevated risk is vital for optimization of healthcare processes. In this study, we will use DeepBiomarker2, an updated version of our deep learning model to predict the adverse events among patients with comorbid post-traumatic stress disorder (PTSD) and alcohol use disorder (AUD), a high-risk population.

METHODS

We analyzed electronic medical records of 5565 patients from University of Pittsburgh Medical Center to predict adverse events (opioid use disorder, suicide related events, depression, and death) within 3 months at any encounter after the diagnosis of PTSD+AUD by using DeepBiomarker2. We integrated multimodal information including: lab tests, medications, co-morbidities, individual and neighborhood level social determinants of health (SDoH), psychotherapy and veteran data.

RESULTS

DeepBiomarker2 achieved an area under the receiver operator curve (AUROC) of 0.94 on the prediction of adverse events among those PTSD+AUD patients. Medications such as vilazodone, dronabinol, tenofovir, suvorexant, modafinil, and lamivudine showed potential for risk reduction. SDoH parameters such as cognitive behavioral therapy and trauma focused psychotherapy lowered risk while active veteran status, income segregation, limited access to parks and greenery, low Gini index, limited English-speaking capacity, and younger patients increased risk.

CONCLUSIONS

Our improved version of DeepBiomarker2 demonstrated its capability of predicting multiple adverse event risk with high accuracy and identifying potential risk and beneficial factors.

DeepBiomarker2: Prediction of Alcohol and Substance Use Disorder Risk in Post-Traumatic Stress Disorder Patients Using Electronic Medical Records and Multiple Social Determinants of Health

Prediction of high-risk events amongst patients with mental disorders is critical for personalized interventions. We developed DeepBiomarker2 by leveraging deep learning and natural language processing to analyze lab tests, medication use, diagnosis, social determinants of health (SDoH) parameters, and psychotherapy for outcome prediction. To increase the model's interpretability, we further refined our contribution analysis to identify key features by scaling with a factor from a reference feature. We applied DeepBiomarker2 to analyze the EMR data of 38,807 patients from the University of Pittsburgh Medical Center diagnosed with post-traumatic stress disorder (PTSD) to determine their risk of developing alcohol and substance use disorder (ASUD). DeepBiomarker2 predicted whether a PTSD patient would have a diagnosis of ASUD within the following 3 months with an average c-statistic (receiver operating characteristic AUC) of 0.93 and average F1 score, precision, and recall of 0.880, 0.895, and 0.866 in the test sets, respectively. Our study found that the medications clindamycin, enalapril, penicillin, valacyclovir, Xarelto/rivaroxaban, moxifloxacin, and atropine and the SDoH parameters access to psychotherapy, living in zip codes with a high normalized vegetative index, Gini index, and low-income segregation may have potential to reduce the risk of ASUDs in PTSD. In conclusion, the integration of SDoH information, coupled with the refined feature contribution analysis, empowers DeepBiomarker2 to accurately predict ASUD risk. Moreover, the model can further identify potential indicators of increased risk along with medications with beneficial effects.

Prediction of Adverse Events Risk in Patients with Comorbid Post- Traumatic Stress Disorder and Alcohol Use Disorder Using Electronic Medical Records by Deep Learning Models

Background

Prediction of high-risk events in mental disorder patients is crucial. In our previous study, we developed a deep learning model: DeepBiomarker by using electronic medical records (EMR) to predict suicide related event (SRE) risk in post-traumatic stress disorder (PTSD) patients.

Methods

We applied DeepBiomarker2 through data integration of multimodal information: lab test, medication, co-morbidities, and social determinants of health. We analyzed EMRs of 5,565 patients from University of Pittsburgh Medical Center with a diagnosis of PTSD and alcohol use disorder (AUD) on risk of developing an adverse event (opioid use disorder, SREs, depression and death).

Results

DeepBiomarker2 predicted whether a PTSD + AUD patient will have a diagnosis of any adverse events (SREs, opioid use disorder, depression, death) within 3 months with area under the receiver operator curve (AUROC) of 0.94. We found piroxicam, vilazodone, dronabinol, tenofovir, suvorexant, empagliflozin, famciclovir, veramyst, amantadine, sulfasalazine, and lamivudine to have potential to reduce risk.

Conclusions

DeepBiomarker2 can predict multiple adverse event risk with high accuracy and identify potential risk and beneficial factors. Our results offer suggestions for personalized interventions in a variety of clinical and diverse populations.

Substance use disorder is the outcome of deviant socialization: A prospective investigation spanning childhood to adulthood

OBJECTIVE

Disinhibitory behavior during childhood and adolescence has been frequently shown to amplify the risk for substance use disorder (SUD) in adulthood. This prospective study examined the hypothesis that poor communication with parents and association with deviant peers comprise an SUD-promoting environtype which catalyzes transition of disinhibitory behavior toward SUD.

METHOD

Male (N = 499) and female (N = 195) youths were tracked from 10 to 12 to 30 years of age. Path analysis evaluated the patterning of disinhibitory behavior and social environment during childhood on substance use during adolescence, and antisocial personality without co-occurring SUD in early adulthood and subsequently substance use disorder (SUD).

RESULTS

Disinhibitory behavior (SUD vulnerability) in childhood predicts antisociality without SUD (age 22) that segues to SUD (age 23-30) whereas the environtype (parents and peers) predicts substance use during adolescence which predicts antisocial personality leading to SUD. Antisociality without SUD in early adulthood mediates the association of substance use during adolescence and SUD.

CONCLUSION

Disinhibitory behavior and deviance-promoting social environment conjointly promote development of SUD via deviant socialization.

Physical inactivity during adolescence heightens risk for cannabis use disorder in adulthood

The association between physical inactivity and substance use throughout adolescence was prospectively investigated in relation to developing cannabis use disorder (CUD). Physical inactivity and substance use in males (N = 462) and females (N = 178) were measured at 12-14, 16, 19, and 22 years of age in a repeated measures design. A structured diagnostic interview was administered to formulate current CUD diagnosis at 22 years of age. Mixture modeling path analysis evaluated the association between physical inactivity, substance use, and CUD. Males: Slope of physical inactivity increase spanning 12-22 years of age mediates the association between number of parents with substance use disorder (SUD) and rate of increase in substance use frequency (prodrome) which mediates the association between physical inactivity (hypothesized vulnerability) and CUD. Females: Number of SUD parents predicts slope of physical inactivity increase in daughters throughout adolescence which covaries with slope of increasing substance use frequency culminating in CUD. The association between parental SUD load (number of SUD affected parents) and CUD was found to not be mediated by physical inactivity. Rate of increase in physical inactivity during adolescence in males and females is a facet of the vulnerability for CUD. These results have ramifications for prevention considering that numerous cognitive, behavior, and emotion features of CUD vulnerability are attenuated by exercise. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

DeepBiomarker2: Prediction of alcohol and substance use disorder risk in post-traumatic stress disorder patients using electronic medical records and multiple social determinants of health

Introduction

Prediction of high-risk events amongst patients with mental disorders is critical for personalized interventions. In our previous study, we developed a deep learning-based model, DeepBiomarker by utilizing electronic medical records (EMR) to predict the outcomes of patients with suicide-related events in post-traumatic stress disorder (PTSD) patients.

Methods

We improved our deep learning model to develop DeepBiomarker2 through data integration of multimodal information: lab tests, medication use, diagnosis, and social determinants of health (SDoH) parameters (both individual and neighborhood level) from EMR data for outcome prediction. We further refined our contribution analysis for identifying key factors. We applied DeepBiomarker2 to analyze EMR data of 38,807 patients from University of Pittsburgh Medical Center diagnosed with PTSD to determine their risk of developing alcohol and substance use disorder (ASUD).

Results

DeepBiomarker2 predicted whether a PTSD patient will have a diagnosis of ASUD within the following 3 months with a c-statistic (receiver operating characteristic AUC) of 0·93. We used contribution analysis technology to identify key lab tests, medication use and diagnosis for ASUD prediction. These identified factors imply that the regulation of the energy metabolism, blood circulation, inflammation, and microbiome is involved in shaping the pathophysiological pathways promoting ASUD risks in PTSD patients. Our study found protective medications such as oxybutynin, magnesium oxide, clindamycin, cetirizine, montelukast and venlafaxine all have a potential to reduce risk of ASUDs.

Discussion

DeepBiomarker2 can predict ASUD risk with high accuracy and can further identify potential risk factors along with medications with beneficial effects. We believe that our approach will help in personalized interventions of PTSD for a variety of clinical scenarios.

Impact of pharmacist motivational interviewing on hepatitis B vaccination in adults with diabetes

BACKGROUND

In 2011, the Advisory Committee on Immunization Practices recommended hepatitis B (HepB) vaccination for previously unvaccinated adults (aged 19-59 years) with diabetes. Despite these recommendations, vaccination coverage for HepB vaccination for persons with diabetes remains low.

OBJECTIVES

The primary objective was to determine the impact of a community pharmacist-led motivational interviewing (MI) intervention on HepB vaccination initiation among adults with diabetes who were previously unvaccinated against HepB. The secondary objective was to describe HepB vaccination series completion among adults with diabetes who initiated the first dose of a HepB vaccine.

METHODS

A prospective, nonrandomized, controlled cluster trial was conducted across 58 regional grocery store chain pharmacies: a total of 29 pharmacies in the MI group and 29 pharmacies in the control group. Pharmacy location-level baseline data were collected during a 12-month pre-program period. The MI program was delivered over 10 months. Alerts were generated during prescription processing throughout the study period for eligible patients at each MI pharmacy location. The MI consisted of a face-to-face conversation between the pharmacist and the patient at the time of prescription pick-up. The difference in the primary outcome of HepB vaccination series initiation between patients receiving MI and control patients was assessed using a difference-in-differences analysis. For series completion, patients who initiated the HepB vaccination series were followed up for over 12 months after their first HepB vaccine dose.

RESULTS

There was a statistically significant 3.711% increase in HepB vaccination when comparing eligible individuals who received the MI intervention (n = 1569) to eligible individuals in the control group (n = 3640). Of the patients in the MI group who initiated HepB vaccination, 40 of 65 patients (61.5%) completed the vaccination series.

CONCLUSION

A pharmacist-led MI intervention increased HepB vaccination rates among adult patients with diabetes. Community pharmacists can effectively provide vaccinations that require multiple doses to complete the vaccination series.

Elaborating on the longitudinal measurement invariance and construct validity of the triarchic psychopathy scales from the Multidimensional Personality Questionnaire

Because the construct of psychopathy is of chief interest across different disciplines, spanning developmental, clinical, and forensic psychology, its assessment bears far-reaching implications. One prominent contemporary conceptualization of psychopathy, the Triarchic Model, posits that a psychopathic personality encompasses three phenotypic constructs: boldness, meanness, and disinhibition. Recently, triarchic scales have been derived based on items from the Multidimensional Personality Questionnaire (MPQ), and the psychometric characteristics of this approach (MPQ-triarchic [MPQ-Tri]) are promising. The present study examined the longitudinal measurement invariance and the construct validity of the MPQ-Tri scales in a large and diverse high-risk sample (N = 716) across four time points from age 16-25. First, we report and discuss implications of confirmatory and exploratory factor analyses of the MPQ-Tri scales. Next, we report evidence for longitudinal configural and partial scalar invariance. In addition, in line with previous studies, MPQ-Boldness showed relatively higher levels of rank-order and mean-level stability compared to MPQ-Meanness and Disinhibition. Finally, in terms of construct validity, the MPQ-Tri scales showed a pattern of association with external correlates across internalizing and externalizing domains that were largely in line with theoretical expectations. One partial exception concerned the limited discriminant validity of the MPQ-Meanness and Disinhibition scales. On balance, the present findings suggest that the MPQ-Tri scales fulfill their intended purpose, with some noted limitation, and provide grounds for the use of the MPQ-Tri scales in developmentally-informed studies on the etiology and consequences of psychopathy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

An Emulation of Randomized Trials of Administrating Antipsychotics in PTSD Patients for Outcomes of Suicide-Related Events

Post-traumatic stress disorder (PTSD) is a prevalent mental disorder marked by psychological and behavioral changes. Currently, there is no consensus of preferred antipsychotics to be used for the treatment of PTSD. We aim to discover whether certain antipsychotics have decreased suicide risk in the PTSD population, as these patients may be at higher risk. A total of 38,807 patients were identified with a diagnosis of PTSD through the ICD9 or ICD10 codes from January 2004 to October 2019. An emulation of randomized clinical trials was conducted to compare the outcomes of suicide-related events (SREs) among PTSD patients who ever used one of eight individual antipsychotics after the diagnosis of PTSD. Exclusion criteria included patients with a history of SREs and a previous history of antipsychotic use within one year before enrollment. Eligible individuals were assigned to a treatment group according to the antipsychotic initiated and followed until stopping current treatment, switching to another same class of drugs, death, or loss to follow up. The primary outcome was to identify the frequency of SREs associated with each antipsychotic. SREs were defined as ideation, attempts, and death by suicide. Pooled logistic regression methods with the Firth option were conducted to compare two drugs for their outcomes using SAS version 9.4 (SAS Institute, Cary, NC, USA). The results were adjusted for baseline characteristics and post-baseline, time-varying confounders. A total of 5294 patients were eligible for enrollment with an average follow up of 7.86 months. A total of 157 SREs were recorded throughout this study. Lurasidone showed a statistically significant decrease in SREs when compared head to head to almost all the other antipsychotics: aripiprazole, haloperidol, olanzapine, quetiapine, risperidone, and ziprasidone (p < 0.0001 and false discovery rate-adjusted p value < 0.0004). In addition, olanzapine was associated with higher SREs than quetiapine and risperidone, and ziprasidone was associated with higher SREs than risperidone. The results of this study suggest that certain antipsychotics may put individuals within the PTSD population at an increased risk of SREs, and that careful consideration may need to be taken when prescribed.

Developmental trajectory classes in psychological dysregulation predict later decision-making competence

Adolescence and emerging adulthood are developmental periods associated with increased risk taking, including alcohol and substance use and antisocial behaviors. Typical psychological growth from adolescence into early adulthood reflects increases in traits related to psychological regulation (e.g., greater emotional stability and less impulsivity), which are typically considered protective factors against risk behaviors. However, individuals may vary greatly in their development of these characteristics. This study examines the degree to which heterogeneity in developmental trajectories of psychological regulation are associated with later performance on decision-making skills battery. In this study, psychological regulation was assessed at age 10-12, with follow-up assessments at 14, 16, and 19 years. At age 19, we administered the Youth Decision-Making Competence (DMC; Parker & Fischhoff, 2005) measure. Correlational analyses revealed that lower psychological regulation, as early as age 10, was associated with lower DMC scores. A latent class growth mixture model yielded three distinct developmental trajectory classes of psychological dysregulation: (a) a Moderate-Stable group, a modal class that demonstrated stable and average regulative tendencies throughout adolescence, (b) a Low-Decreasing group, which demonstrated greater self-regulation throughout childhood, and a (c) High-Increasing group, which demonstrated low self-regulative tendencies (higher dysregulation) at age 10 that became increasingly dysregulated throughout adolescence. Individuals in the High-Increasing group demonstrated lower DMC performance than those in the Moderate-Stable and Low-Decreasing groups. Our findings also reinforce past work that indicates considerable individual differences in intra-individual change across adolescence, and that early patterns of psychological dysregulation development can impact later decision-making tendencies.

Depressive and Anxiety Symptoms Predict Obsessive and Compulsive Cravings among Depressed Alcoholics

Objectives

Alcohol craving is often associated with mood symptoms and predicts alcohol use in individuals with alcohol dependence. However, little is known about the impact of mood symptoms on alcohol craving in comorbid mood disorders and alcohol dependence. This study examines the predictive value of depressive and anxiety symptoms for obsessive and compulsive aspects of alcohol craving in adults with comorbid Major Depressive Disorder (MDD) and Alcohol Dependence.

Methods

Fifty-five adults (47% female; mean age of 39.35 (SD=8.80)) with DSM-IV diagnoses of comorbid MDD and alcohol dependence were prospectively assessed over a six-month period. They completed the Hamilton Rating Scales for Depression and Anxiety, the Alcohol Timeline Followback, the Obsessive Compulsive Drinking Scale (OCDS), the Alcohol Dependence Scale (ADS), and the Addiction Severity Index (ASI). The linear mixed model analyses for repeated measures was used to test weather depressive and anxiety symptoms predict OCDS subscale scores.

Results

Depressive and anxiety symptoms were strongly associated with obsessive and compulsive subscales of the OCDS. Baseline ASI-alcohol scores were associated with both the obsessive and compulsive and with the obsessive subscale scores in the predictive model including depressive symptoms, and that including anxiety symptoms respectively.

Conclusions

Results suggest that depressive and anxiety symptoms predict obsessive and compulsive aspects of alcohol craving in adults with comorbid MDD and alcohol dependence. Assessing the severity of depressive and anxiety symptoms and alcohol use in this population may identify those more likely to experience intense alcohol craving states and at increased risk of relapse.

Derivation and assessment of the opioid use disorder severity scale: prediction of health, psychological and social adjustment problems

Background: Severity of substance use disorder (SUD) is typically evaluated by tabulating the number of symptoms. The resulting estimate of disorder severity is, however, biased due to intercorrelations among symptoms and their unequal salience. Objective. Employing item response theory (IRT) methodology, opioid use disorder symptoms were calibrated to derive the Opioid Use Disorder Severity Scale (OUDSS) and assess its predictive ability in men and women separately. Methods: A two-parameter IRT model was utilized to derive the OUDSS from DSM-IV symptoms recorded on the Structured Clinical Interview for DSM-IV (SCID) in 438 men and 429 women who reported at least one lifetime opioid consumption event. The predictive ability of the OUDSS was evaluated using the 10 health, psychological, and social adjustment domains of the revised Drug Use Screening Inventory (DUSI-R) assessed 2 years later. Results: The OUDSS score predicted the severity of problems in all 10 DUSI-R domains in men and women. The OUDSS also predicted the DUSI-R diagnostic cutoff score of overall problem density score in men and women (OR = 2.21 and OR = 4.83, respectively). Withdrawal was the most frequently endorsed symptom in this sample of opioid users. The other symptoms' frequencies, while somewhat lower than withdrawal's, did not differ from it substantially, indicating a similar severity threshold. Conclusions: OUDSS enables dimensional measurement of opioid use severity on an interval scale. The OUDSS and DUSI-R together can identify problem areas requiring prevention or treatment.

Forecasting Opioid Use Disorder at 25 Years of Age in 16-Year-Old Adolescents

OBJECTIVE

To evaluate the accuracy of detecting 16-year-old male (n = 465) and female (n = 162) youths who subsequently manifest opioid use disorder (OUD) at 25 years of age. We hypothesized that the combined measures of 2 components of etiology, heritable risk, and substance use, accurately detect youths who develop OUD.

STUDY DESIGN

Heritable risk was measured by the transmissible liability index (TLI). Severity of the prodrome presaging OUD was quantified by the revised Drug Use Screening Inventory containing the consumption frequency index (CFI) documenting substance use events during the past month and the overall problem density (OPD) score indicating co-occurring biopsychosocial problems. Diagnosis of OUD was formulated by a clinical committee based on results of the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition in conjunction with medical and social history records.

RESULTS

Bivariate analysis shows that the TLI, CFI, and OPD scores at 16 years of age predict OUD at 25 years. Multivariate modeling indicates that the TLI combined with the CFI predict OUD with 86% accuracy (sensitivity = 87%; specificity = 62%). The TLI and CFI at 16 years of age mediate the association between parental substance use disorder and OUD in offspring at 25 years of age, indicating that these measures respectively evaluate risk and prodrome.

CONCLUSIONS

These results demonstrate the feasibility of identifying youths requiring intervention to prevent OUD.

The Performance of Gene Expression Signature-Guided Drug-Disease Association in Different Categories of Drugs and Diseases

A gene expression signature (GES) is a group of genes that shows a unique expression profile as a result of perturbations by drugs, genetic modification or diseases on the transcriptional machinery. The comparisons between GES profiles have been used to investigate the relationships between drugs, their targets and diseases with quite a few successful cases reported. Especially in the study of GES-guided drugs–disease associations, researchers believe that if a GES induced by a drug is opposite to a GES induced by a disease, the drug may have potential as a treatment of that disease. In this study, we data-mined the crowd extracted expression of differential signatures (CREEDS) database to evaluate the similarity between GES profiles from drugs and their indicated diseases. Our study aims to explore the application domains of GES-guided drug–disease associations through the analysis of the similarity of GES profiles on known pairs of drug–disease associations, thereby identifying subgroups of drugs/diseases that are suitable for GES-guided drug repositioning approaches. Our results supported our hypothesis that the GES-guided drug–disease association method is better suited for some subgroups or pathways such as drugs and diseases associated with the immune system, diseases of the nervous system, non-chemotherapy drugs or the mTOR signaling pathway.

Patient-Reported Outcomes Associated With Sedation and Agitation Intensity in the Critically Ill

BACKGROUND

Patient-reported outcomes are essential to understand the relationship between patients' perception of sedation and clinicians' assessments of sedation.

OBJECTIVES

To evaluate the association between sedation and agitation indexes and patient-reported outcomes of sedation and analgesia.

METHODS

This prospective, single-center, observational study included adult patients who were continuously sedated for at least 24 hours in a medical or surgical/ trauma intensive care unit. Patients were interviewed after sedation was discontinued regarding their satisfaction with the quality of sedation and potentially related factors. The primary outcome was the correlation between sedation and agitation indexes and patient-reported outcomes.

RESULTS

A total of 68 patients were interviewed after sedation. Of these, 29 (42.6%) described their overall feelings about their experience while receiving mechanical ventilation in the intensive care unit as "pleasant". When asked about their desires if they were to experience the situation again, 29 patients (42.6%) reported that they would want more sedation. Agitation index was statistically significantly correlated with several patient-reported outcomes. Receiving mechanical ventilation (r = 0.41, P = .002), the amount of noise (r = 0.34, P = .01), suctioning (r = 0.32, P = .02), difficulty resting or sleeping (r = 0.39, P = .003), inability to communicate by talking (r = 0.36, P = .008), anxiety (r = 0.29, P = .03), panic (r = 0.3, P = .02), and frustration (r = 0.47, P < .001) were associated with a higher agitation index.

CONCLUSION

Agitation index was significantly associated with several patient-reported outcomes and thus seems to be a promising descriptor of patients' experience.

Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder

BACKGROUND

Substance use disorder (SUD) exacts enormous societal costs in the United States, and it is important to detect high-risk youths for prevention. Machine learning (ML) is the method to find patterns and make prediction from data. We hypothesized that ML identifies the health, psychological, psychiatric, and contextual features to predict SUD, and the identified features predict high-risk individuals to develop SUD.

METHOD

Male (N = 494) and female (N = 206) participants and their informant parents were administered a battery of questionnaires across five waves of assessment conducted at 10-12, 12-14, 16, 19, and 22 years of age. Characteristics most strongly associated with SUD were identified using the random forest (RF)algorithm from approximately 1000 variables measured at each assessment. Next, the complement of features was validated, and the best models were selected for predicting SUD using seven ML algorithms. Lastly, area under the receiver operating characteristic curve (AUROC) evaluated accuracy of detecting individuals who develop SUD+/- up to thirty years of age.

RESULTS

Approximately thirty variables strongly predict SUD. The predictors shift from psychological dysregulation and poor health behavior in late childhood to non-normative socialization in mid to late adolescence. In 10-12-year-old youths, the features predict SUD+/- with 74% accuracy, increasing to 86% at 22 years of age. The RF algorithm optimally detects individuals between 10-22 years of age who develop SUD compared to other ML algorithms.

CONCLUSION

These findings inform the items required for inclusion in instruments to accurately identify high risk youths and young adults requiring SUD prevention.

Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity

BACKGROUND

This longitudinal study explored the utility of machine learning (ML) methodology in predicting the trajectory of severity of substance use from childhood to thirty years of age using a set of psychological and health characteristics.

DESIGN

Boys (N = 494) and girls (N = 206) were recruited using a high-risk paradigm at 10-12 years of age and followed up at 12-14, 16, 19, 22, 25 and 30 years of age.

MEASUREMENTS

At each visit, the subjects were administered a comprehensive battery to measure psychological makeup, health status, substance use and psychiatric disorder, and their overall harmfulness of substance consumption was quantified according to the multidimensional criteria (physical, dependence, and social) developed by Nutt et al. (2007). Next, high- and low- substance use severity trajectories were derived differentially associated with probability of segueing to substance use disorder (SUD). ML methodology was employed to predict trajectory membership.

FINDINGS

The high-severity trajectory group had a higher probability of leading to SUD than the low-severity trajectory (89.0% vs 32.4%; odds ratio = 16.88, p < 0.0001). Thirty psychological and health status items at each of the six visits predict membership in the high- or low-severity trajectory, with 71% accuracy at 10-12 years of age, increasing to 93% at 22 years of age.

CONCLUSION

These findings demonstrate the applicability of the machine learning methodology for detecting membership in a substance use trajectory with high probability of culminating in SUD, potentially informing primary and secondary prevention.

The effect of SMS behavior change techniques on event-level desire to get drunk in young adults

Text messaging (SMS) interventions incorporating a combination of behavior change techniques can assist reductions in alcohol consumption among young adult hazardous drinkers, but mechanisms of action remain unknown. In this secondary analysis, we test the hypothesis that desire to get drunk (DD) recorded prior to drinking episodes would mediate SMS intervention effects on the likelihood of event-level heavy drinking (4 +/5 + drinks for women/men). We recruited young adult hazardous drinkers to a trial where they were randomized to 1 of 5 SMS interventions: TRACK (self-monitoring of alcohol use), PLAN (feedback on drinking plans and DD), USE (postdrinking feedback on alcohol consumed), GOAL (goal prompts/support), and COMBO (i.e., 4 interventions combined). Up to 3 days per week for 14 weeks, when participants reported a plan to drink, they were asked to report DD on a scale from 0 (none) to 8 (completely) and next day asked to recall drink quantity. Multilevel structural equation models showed that DD mediated the treatment effect of GOAL on heavy drinking. This work illustrates the importance of goal support features in digital alcohol interventions and the utility of measuring desire to get drunk as a key mediator in alcohol studies. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Correspondence of Pubertal Neuroendocrine and Tanner Stage Changes in Boys and Associations With Substance Use

This study examined correspondence between timing (onset) and tempo (rate) of sexual maturation prospectively (average ages 11-16 years) measured by gonadal hormones and secondary sex characteristics (Tanner stage) using dual-process models, and associations of these measures with substance use (SU) involvement in boys at age 16 years (N = 534, 77.5% White/22.5% Non-White). All measures of timing were highly associated. Early Tanner stage timing often predicted slower increases in gonadal steroids, but not the reverse; patterns varied by ethnicity. Hormone and Tanner stage measures were similar earlier in development but diverged later in development. In White boys only, early timing of the pubertal rise in testosterone was associated with increased SU involvement, suggesting a physiological rather than psychosocial mechanism of association.

Cerebral microcirculatory alterations and the no-reflow phenomenon in vivo after experimental pediatric cardiac arrest

Decreased cerebral blood flow (CBF) after cardiac arrest (CA) contributes to secondary ischemic injury in infants and children. We previously reported cortical hypoperfusion with tissue hypoxia early in a pediatric rat model of asphyxial CA. In order to identify specific alterations as potential therapeutic targets to improve cortical hypoperfusion post-CA, we characterize the CBF alterations at the cortical microvascular level in vivo using multiphoton microscopy. We hypothesize that microvascular constriction and disturbances of capillary red blood cell (RBC) flow contribute to cortical hypoperfusion post-CA. After resuscitation from 9 min asphyxial CA, transient dilation of capillaries and venules at 5 min was followed by pial arteriolar constriction at 30 and 60 min (19.6 ± 1.3, 19.3 ± 1.2 µm at 30, 60 min vs. 22.0 ± 1.2 µm at baseline, p < 0.05). At the capillary level, microcirculatory disturbances were highly heterogeneous, with RBC stasis observed in 25.4% of capillaries at 30 min post-CA. Overall, the capillary plasma mean transit time was increased post-CA by 139.7 ± 51.5%, p < 0.05. In conclusion, pial arteriolar constriction, the no-reflow phenomenon and increased plasma transit time were observed post-CA. Our results detail the microvascular disturbances in a pediatric asphyxial CA model and provide a powerful platform for assessing specific vascular-targeted therapies.

Which behavior change techniques help young adults reduce binge drinking? A pilot randomized clinical trial of 5 text message interventions

Text message (SMS) interventions can reduce binge drinking in young adults, but optimal behavior change techniques (BCTs) remain unknown. The present study tests the acceptability and preliminary efficacy of different combinations of SMS-delivered BCTs. 149 young adults who screened positive for hazardous drinking completed a baseline survey in the Emergency Department. For the following 2-weeks, on days they typically drank (1 to 3 days per week), participants received ecological momentary assessments (EMA) of drinking plans and desire to get drunk; the next day they were prompted to report recall of number of drinks consumed the prior day. Participants who responded to at least 50% these EMA (N = 127) were randomized to one of five 12-week interventions: Cued Self-Monitoring (TRACK); Drinking Intentions Feedback (PLAN); Drinking Performance Feedback (USE); Adaptive Goal Support (GOAL); and a combination of BCTs (COMBO). 79% of all EMA were completed over 12 weeks, which decreased from around 93% on week 1 to 65% by week 12. Using EMA data, relative to TRACK, only COMBO showed significant reductions in binge drinking and max drinks per drinking episode over time. Using TLFB data, there were no significant differences between groups from baseline to 14- and 28-weeks follow-up. Results lay the groundwork for a larger trial testing the effects of BCTs on binge drinking for young adults.

An Unexpected Role of Cholesterol Sulfotransferase and its Regulation in Sensitizing Mice to Acetaminophen-Induced Liver Injury

Overdose of acetaminophen (APAP) is the leading cause of acute liver failure (ALF) in the United States. The sulfotransferase-mediated sulfation of APAP is widely believed to be a protective mechanism to attenuate the hepatotoxicity of APAP. The cholesterol sulfotransferase SULT2B1b is best known for its activity in catalyzing the sulfoconjugation of cholesterol to synthesize cholesterol sulfate. SULT2B1b can be transcriptionally and positively regulated by the hepatic nuclear factor 4α (HNF4α). In this study, we uncovered an unexpected role for SULT2B1b in APAP toxicity. Hepatic overexpression of SULT2B1b sensitized mice to APAP-induced liver injury, whereas ablation of the Sult2B1b gene in mice conferred resistance to the APAP hepatotoxicity. Consistent with the notion that Sult2B1b is a transcriptional target of HNF4α, overexpression of HNF4α sensitized mice or primary hepatocytes to APAP-induced hepatotoxicity in a Sult2B1b-dependent manner. We conclude that the HNF4α-SULT2B1b axis has a unique role in APAP-induced acute liver injury, and SULT2B1b induction might be a risk factor for APAP hepatotoxicity.

Predictors of resistant alcohol withdrawal (RAW): A retrospective case-control study

BACKGROUND

Benzodiazepine-resistant alcohol withdrawal (RAW), defined by a requirement of ≥ 40 mg of diazepam in 1 h, represents a severe form of withdrawal without predictive parameters. This study was designed to identify risk factors associated with RAW versus withdrawal without benzodiazepine resistance (nRAW).

METHODS

A retrospective cohort of adults with severe alcohol withdrawal were screened. Demographic and clinical variables, collected through chart review, underwent logistic regression to select the subset that predicst RAW.

RESULTS

736 patients (515 nRAW, 221 RAW) were analyzed. RAW patients were younger (P < 0.001), male (P = 0.008) Caucasians (P = 0.037) with histories of psychiatric illness (P < 0.001), higher serum ethanol concentrations (P < 0.007), and abnormal liver enzymes (P = 0.01). RAW patients had significantly lower platelets (P < 0.001), chloride (P = 0.02), and potassium (P = 0.01) levels; severity of illness (SAPSII) (P < 0.001) and comorbidity scores (P < 0.001). Caucasian race and male gender were found to be 3.6 and 2.6 times more likely to be RAW. For every 1-unit increase in comorbidity and severity of illness scores, patients were 22% [OR(95% CI) 0.78 (0.66-0.90)] and 4% [0.96 (0.93-0.98)] less likely to be RAW. Patients with a psychiatric history or thrombocytopenia were 2 times more likely [2.02 (1.24-3.30); 2.13 (1.31-3.50), respectively] to be RAW.

CONCLUSION

These data demonstrate the predictive ability of a history of psychiatric illness, thrombocytopenia, gender, race, baseline severity of illness and comorbidity scores for developing RAW. Considering these characteristics in early withdrawal management may prevent progression to RAW outcomes.

Synergism of antihypertensives and cholinesterase inhibitors in Alzheimer's disease

INTRODUCTION

We investigated the effect of antihypertensive (aHTN) medications and cholinesterase inhibitors (ChEIs) on the cognitive decline in patients with Alzheimer's disease (AD) and analyzed synergism by chemogenomics systems pharmacology mapping.

METHODS

We compared the effect of aHTN drugs on Mini-Mental State Examination scores in 617 AD patients with hypertension, and studied the synergistic effects.

RESULTS

The combination of diuretics, calcium channel blockers, and renin-angiotensin-aldosterone system blockers showed slower cognitive decline compared with other aHTN groups (Δβ = +1.46, P < .0001). aHTN medications slow down cognitive decline in ChEI users (Δβ = +0.56, P = .006), but not in non-ChEI users (Δβ = -0.31, P = .53).

DISCUSSION

aHTN and ChEI drugs showed synergistic effects. A combination of diuretics, renin-angiotensin-aldosterone system blockers, and calcium channel blockers had the slowest cognitive decline. The chemogenomics systems pharmacology-identified molecular targets provide system pharmacology interpretation of the synergism of the drugs in clinics. The results suggest that improving vascular health is essential for AD treatment and provide a novel direction for AD drug development.

Restless Sleep and Variable Sleep Timing During Late Childhood Accelerate the Onset of Alcohol and Other Drug Involvement

OBJECTIVE

Limited prospective data indicate that premorbid sleep disturbances elevate the risk for subsequent alcohol and other drug problems, yet the implications for subsequent substance involvement trajectories remain unclear. In the present analyses, we examined risk associations between sleep characteristics during late childhood and the onset of substance use and substance use disorders into adulthood.

METHOD

A sample of 707 children was recruited at ages 9-13 years and followed over seven additional visits through age 30 years. In 304 participants, fathers had a history of substance use disorder involving illicit drugs. Self-reported baseline sleep characteristics (restless sleep and variable sleep timing) were assessed at approximately ages 9-13 years. Assessment of alcohol, cannabis, and cocaine involvement occurred at follow-up visits. Cox proportional hazard models tested sleep characteristics as predictors of two substance-related outcomes (age at first use or diagnosis of disorder), as well as the onset of major depressive disorder.

RESULTS

Restless sleep at baseline significantly predicted an earlier onset age for trying alcohol and cannabis and showed a trend toward predicting early onset of cannabis use disorder. Restless sleep also predicted an earlier onset of depression. Irregular sleep timing at baseline significantly predicted an earlier onset age for alcohol use disorder and showed trends toward predicting early onsets of disorders of cannabis and cocaine use.

CONCLUSIONS

Disturbed sleep during late childhood appears to accelerate the onset of not only initial substance use but also the development of clinically defined substance use disorder. Sleep-focused preventative efforts during late childhood may reduce the incidence of mood and substance use disorders.

A Review of the Literature of Mirtazapine in Co-Occurring Depression and an Alcohol Use Disorder

BACKGROUND

Prior medication studies involving individuals with major depression in combination with an alcohol use disorder (MDD/AUD) have mainly focused on SSRI and tricyclic antidepressants, with generally ineffective results. Consequently, effective treatments for that common comorbid condition remain elusive. Mirtazapine is an antidepressant medicine with a unique pharmacological profile, whose effectiveness for treating non-comorbid depression reportedly may exceed that of SSRIs.

OBJECTIVE/METHODS

We now review the published literature regarding the tolerability and efficacy of mirtazapine for the treatment of the depression and the pathological alcohol ingestion of individuals with co-occurring MDD/AUD, including a review of four of our own small studies and two studies conducted outside the United States.

RESULTS/CONCLUSIONS

The findings of these studies suggest that mirtazapine is well tolerated among persons with comorbid MDD/AUD. Results also provide some evidence of efficacy for mirtazapine for decreasing the level of depression of persons with co-occurring MDD/AUD, and suggest that decreases in depression may occur relatively quickly after starting treatment, but provide no evidence of effectiveness for decreasing the level of alcohol ingestion. Large-scale double-blind, placebo-controlled studies are warranted to further clarify the tolerability and efficacy of mirtazapine among individuals with MDD/AUD.

Mirtazapine in comorbid major depression and an alcohol use disorder: A double-blind placebo-controlled pilot trial

This was a first double-blind, placebo-controlled pilot study to evaluate the efficacy of the novel antidepressant medication mirtazapine for treating both the depressive symptoms and the level of alcohol consumption of subjects with comorbid major depressive disorder and an alcohol use disorder (MDD/AUD). The results of two previous studies of mirtazapine in MDD/AUD subjects had suggested efficacy for mirtazapine for decreasing their level of depressive symptoms, but level of alcohol consumption had not been assessed in those studies. All subjects in this 12-week pilot study were randomized to either mirtazapine or placebo, and also received motivational enhancement therapy. Between-group analyses involving the outcome measures of depressive symptoms, level of alcohol consumption, and level of alcohol craving indicated no significant differences between groups, possibly because of limited sample size. However, within-group t tests in the mirtazapine group showed a significant decrease in depressive symptoms by week 2, also noted at all subsequent assessments (weeks 3, 4, 6, 8, 10, and 12) during the 12-week study. In contrast, no significant decrease in depressive symptoms was noted in the placebo group until week 8. No evidence of efficacy was found for mirtazapine for decreasing level of alcohol consumption in MDD /AUD subjects.

Temperament disturbances measured in infancy progress to substance use disorder 20 years later

OBJECTIVE

This prospective study determined whether temperament before two years of age predicts transmissible risk for substance use disorder (SUD) up to a decade later and SUD outcome in adulthood.

METHOD

Boys between 10 and 12 years of age (N = 482) were tracked to age 22. The previously validated transmissible liability index (TLI) was administered at baseline, and temperament prior to two years of age was retrospectively rated. The Structured Clinical Interview for DSM-III-R (SCID) was administered to document presence/absence of SUD for parents at baseline and sons at age 22.

RESULTS

Path analysis revealed that number of parents with SUD predicted severity of temperament disturbance in their sons which in turn predicted TLI score at age 10-12, presaging SUD. Temperament before age two did not predict SUD at age 22. The association between number of SUD parents and transmissible risk was mediated by severity of temperament disturbance.

CONCLUSION

Temperament disturbance in early childhood, reflecting quality of behavioral and emotion regulation, comprise psychological antecedents of transmissible risk for SUD.

Item Response Theory Analysis to Assess Dimensionality of Substance Use Disorder Abuse and Dependence Symptoms

BACKGROUND

Item response theory (IRT) based studies conducted on diverse samples showed a single dominant factor for DSM-III-R and DSM-IV substance use disorder (SUD) abuse and dependence symptoms of alcohol, cannabis, sedative, cocaine, stimulants, and opiates use disorders. IRT provides the opportunity, within a person-centered framework, to accurately gauge each person's severity of disorder that, in turn, informs required intensiveness of treatment.

OBJECTIVES

The aim of this study was to determine whether the SUD symptoms indicate a unidimensional trait or instead need to be conceptualized and quantified as a multidimensional scale.

METHODS

The sample was composed of families of adult SUD+ men (n=349), and SUD+ women (n=173), who qualified for DSM-III-R diagnosis of substance use disorder (abuse or dependence) and families of adult men and women who did not qualify for a SUD diagnosis (SUD- men: n=190, SUD- women: n=133). An expanded version of the Structured Clinical Interview for DSM-III-R (SCID) was administered to characterize lifetime and current substance use disorders. Item response theory methodology was used to assess the dimensionality of DSM-III-R SUD abuse and dependence symptoms.

RESULTS

A bi-factor model provided the optimal representation of the factor structure of SUD symptoms in males and females. SUD symptoms are scalable as indicators of a single common factor, corresponding to general (non-drug-specific, common) liability to addiction, combined with drug-specific liabilities.

CONCLUSIONS

IRT methodology used to quantify the continuous general liability to addiction (GLA) latent trait in individuals having SUD symptoms was found effective for accurately measuring SUD severity in men and women. This may be helpful for person-centered medicine approaches to effectively address intensity of treatment.

A new approach to researching the etiology of cannabis use disorder: integrating transmissible and nontransmissible risk within a developmental framework

Rapidly occurring changes in law enforcement and licensing of retail outlets to sell marijuana raises the prospect that the population of consumers will expand and accordingly the prevalence of cannabis use disorder (CUD) will increase. This report presents a novel approach to researching CUD etiology joining multivariate and ontogenetic perspectives. CUD is conceptualized as a developmental outcome consisting of transmissible (intergenerational) and nontransmissible components. Partitioning the liability for CUD into these 2 dimensions enables implementing interventions targeted at the particular source and severity of risk. In addition, results showing that infant temperament disturbances predict transmissible risk leading to CUD 2 decades later underscore the importance of implementing early prevention.

Development and Psychometric Evaluation of the Child Neglect Questionnaire

Neglect poses a significant risk for children throughout their development and is often linked with serious consequences that reach into adulthood. The Child Neglect Questionnaire (CNQ) fills existing gaps by incorporating multiple perspectives from both parents and the child, as well as measuring the complex phenomenon of neglect multidimensionally. Furthermore, this measure addresses the need for an instrument specifically developed for late childhood (ages 10-12), as much of the extant evidence and corresponding measures focus on young children and their mothers. A panel of three psychologists, using Cicchetti's model of child neglect as a theoretical guide, began by selecting items from an existing database. Results of exploratory and confirmatory factor analyses and item response theory demonstrated the unidimensionality of physical, emotional, educational, and supervision neglect as well as a second-order construct of child neglect. Analyses controlling for risk status due to father's substance use disorder, socioeconomic status, and child's ethnicity demonstrated that father's and mother's (parental) neglect, particularly in the child's versions, had sound concurrent and predictive validity. Concurrently, at age 10-12, the child's version of both parents' neglect correlated with their parenting behaviors evaluated by other available measures. Prospectively, from 10-12 years of age to 11-13 years of age, parental neglect predicted child's drug use frequency with coexisting psychological dysregulation, psychiatric symptoms, antisocial behavior, non-normative sexual behavior, involvement with deviant peers and leisure activities thus demonstrating sound predictive validity. Also, internal consistency and inter-rater reliability were excellent. The CNQ, particularly the child's version, may thus be useful for detecting children at high risk for parental neglect.

A Multicenter Evaluation of Off-Label Medication Use and Associated Adverse Drug Reactions in Adult Medical ICUs

OBJECTIVE

Prior research indicates that off-label use is common in the ICU; however, the safety of off-label use has not been assessed. The study objective was to determine the prevalence of adverse drug reactions associated with off-label use and evaluate off-label use as a risk factor for the development of adverse drug reactions in an adult ICU population.

DESIGN

Multicenter, observational study

SETTING

: Medical ICUs at three academic medical centers.

PATIENTS

Adult patients (age ≥ 18 yr old) receiving medication therapy.

INTERVENTIONS

All administered medications were evaluated for Food and Drug Administration-approved or off-label use. Patients were assessed daily for the development of an adverse drug reaction through active surveillance. Three adverse drug reaction assessment instruments were used to determine the probability of an adverse drug reaction resulting from drug therapy. Severity and harm of the adverse drug reaction were also assessed. Cox proportional hazard regression was used to identify a set of covariates that influenced the rate of adverse drug reactions.

MEASUREMENTS AND MAIN RESULTS

Overall, 1,654 patient-days (327 patients) and 16,391 medications were evaluated, with 43% of medications being used off-label. One hundred and sixteen adverse drug reactions were categorized dichotomously (Food and Drug Administration or off-label), with 56% and 44% being associated with Food and Drug Administration-approved and off-label use, respectively. The number of adverse drug reactions for medications administered and the number of harmful and severe adverse drug reactions did not differ for medications used for Food and Drug Administration-approved or off-label use (0.74% vs 0.67%; p = 0.336; 33 vs 31 events, p = 0.567; 24 vs 24 events, p = 0.276). Age, sex, number of high-risk medications, number of off-label medications, and severity of illness score were included in the Cox proportional hazard regression. It was found that the rate of adverse drug reactions increases by 8% for every one additional off-label medication (hazard ratio = 1.08; 95% CI, 1.018-1.154).

CONCLUSION

Although adverse drug reactions do not occur more frequently with off-label use, adverse drug reaction risk increases with each additional off-label medication used.

Does the Transmissible Liability Index (TLI) assessed in late childhood predict suicidal symptoms at young adulthood?

OBJECTIVE

Our previous work demonstrated that the Transmissible Liability Index (TLI), an instrument designed as an index of liability for substance use disorder (SUD), is associated with risk of substance use disorder. This longitudinal study assessed whether TLI measured in 10-12-year-olds (late childhood) predicts suicidal behavior from age 12-14 (preadolescence) to age 25 (young adulthood). We hypothesized that TLI would predict number and severity of suicide attempts.

METHODS

Subjects were sons of men who had lifetime history of SUD (n = 250), called the High Average Risk (HAR) group, and sons of men with no lifetime history of a SUD (n = 250), called the Low Average Risk (LAR) group. The TLI was delineated at baseline (age 10-12), and age-specific versions were administered at 12-14, 16, 19, 22, and 25 years of age.

RESULTS

TLI was significantly associated with number and severity of lifetime suicide attempts.

CONCLUSIONS

These findings confirm the hypothesis that TLI assessed at late childhood is a predictor of frequency and severity of suicidal behavior from preadolescence to young adulthood.

Externalizing behavior and emotion dysregulation are indicators of transmissible risk for substance use disorder

BACKGROUND

Psychological items discriminating children of fathers diagnosed with an illicit drug-related substance use disorder and normal controls are indicators of a unidimensional construct termed transmissible liability index (TLI) (Vanyukov et al., 2009). TLI is a highly heritable (Vanyukov et al., 2009; Hicks, Iacono, McGue, 2012) and valid (Vanyukov et al., 2009; Hicks et al., 2009; Kirisci et al., 2013a) measure of childhood liability to substance use disorders (SUDs).

AIMS

This longitudinal study determined whether TLI has incremental validity for predicting SUD beyond commonly measured psychological indicators of risk.

METHODS

TLI and measures of executive cognitive capacity, emotion dysregulation and externalizing disturbance were administered to boys at ages 10-12 and 16. SUD outcome determined at age 22 was assessed as (1) any SUD, (2) the number of drug-specific SUDs, and (3) SUD severity.

RESULTS

TLI predicted SUD beyond the contribution of measures of emotion dysregulation, executive cognitive capacity and externalizing disturbance. The association of emotion dysregulation and externalizing behavior at ages 10-12 and 16 with SUD at age 22 was also reduced to non-significance after controlling for transmissible risk measured by TLI.

CONCLUSIONS

TLI's incremental validity beyond these latter indicators of risk points to its utility for identifying vulnerable youths requiring intervention.

Familiality of addiction and its developmental mechanisms in girls

BACKGROUND

Drug use disorders (DUD) have been theorized to share sources of risk variation with other consummatory behaviors. We hypothesized that common mechanisms exist for familial risk for DUD, physiological maturation and nutritional status in girls. Whereas body fat content must exceed a threshold to enable adrenarche and gonadarche, nutritional status may also be a behavior risk indicator. Impaired psychological self-regulation associated with DUD risk may manifest in early overeating, which could in turn accelerate reproductive maturation, resulting in a greater likelihood of affiliation with deviant/older peers and drug use.

METHOD

The sample consisted of families ascertained through the father who either had (N=95) or did not have (N=130) a DUD, and who had a 10-12 year old daughter and her mother available for study. Correlation, survival and path analyses of three consecutive assessments evaluated the relationships between parental DUD (number of affected parents, NAP), nutritional status (NS, subscapular skinfold measurements and body mass index), sexual maturation (Tanner stage), peer delinquency, and the daughter's lifetime DUD diagnosis.

RESULTS

NAP was positively related to the girls' nutritional status. Longitudinal path analysis indicated mediation of the relationship between NAP and peer delinquency by sexual maturation. The relationship between NAP and sexual maturation is mediated by NS. The effect of sexual maturation at age ∼11 on the girls' DUD risk is mediated by peer delinquency.

CONCLUSION

The data are consistent with mediation of intergenerational transmission of DUD risk in females by elevated nutrition, leading to accelerated maturation, and affiliation with deviant peers.

Does stress mediate the development of substance use disorders among youth transitioning to young adulthood?

BACKGROUND

Stress is a well-documented factor in the development of addiction. However, no longitudinal studies to date have assessed the role of stress in mediating the development of substance use disorders (SUD). Our previous results have demonstrated that a measure called Transmissible Liability Index (TLI) assessed during pre-adolescent years serves as a significant predictor of risk for substance use disorder among young adults. However, it remains unclear whether life stress mediates the relationship between TLI and SUD, or whether stress predicts SUD.

METHODS

We conducted a longitudinal study involving 191 male subjects to assess whether life stress mediates the relationship between TLI as assessed at age 10-12 and subsequent development of SUD at age 22, after controlling for other relevant factors.

RESULTS

Logistic regression demonstrated that the development of SUD at age 22 was associated with stress at age 19. A path analysis demonstrated that stress at age 19 significantly predicted SUD at age 22. However, stress did not mediate the relationship between the TLI assessed at age 10-12 and SUD in young adulthood.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

These findings confirm that stress plays a role in the development of SUD, but also shows that stress does not mediate the development of SUD. Further studies are warranted to clarify the role of stress in the etiology of SUD.

Psychological dysregulation during adolescence mediates the association of parent-child attachment in childhood and substance use disorder in adulthood

OBJECTIVE

This prospective study tested the hypothesis that psychological dysregulation in mid-adolescence (age 16) mediates the association between parent-child attachment in late childhood (age 10-12) and development of substance use disorder (SUD) in adulthood (age 22).

METHOD

The Youth Attachment to Parents Scale (YAPS) was developed in 10-12-year-old boys and girls (N = 694) at baseline residing in western Pennsylvania. Psychological dysregulation was measured by the neurobehavior disinhibition trait. Substance use was assessed at ages 10-12, 12-14, 16 and 19. SUD was diagnosed at age 22 using the Structured Clinical Interview for DSM Disorders. The mediation of parent-child attachment and SUD by neurobehavior disinhibition was tested separately for mothers and fathers while controlling for baseline substance use.

RESULTS

Psychological dysregulation mediates the association between attachment to mothers and SUD, and partially mediates the association between attachment to fathers and SUD. Significant mediation effects remains after controlling for baseline substance use.

CONCLUSION

Optimal prevention of SUD should include ameliorating both psychological dysregulation predisposing to SUD and quality of the parent-child relationship.

Longitudinal modeling of transmissible risk in boys who subsequently develop cannabis use disorder

BACKGROUND

Risk for substance use disorder is frequently transmitted across generations due to significant heritability.

OBJECTIVE

This longitudinal study tests the hypothesis that initial exposure to cannabis in youths having high transmissible risk is a signal event promoting development of cannabis use disorder (CUD).

METHODS

At age 22, 412 men were classified into three groups: (1) lifetime CUD, (2) cannabis use without CUD, and (3) no lifetime cannabis use. Transmissible risk, quantified on a continuous scale using the previously validated transmissible liability index (TLI), along with cannabis use and CUD were documented at 10-12, 12-14, 16, 19, and 22 years of age.

RESULTS

The CUD group scored higher on the TLI before they began cannabis use compared to the other two groups. In addition, a progressive increase in TLI severity was evinced by the CUD group beginning at the time of initiation of cannabis use whereas cannabis users who did not subsequently develop CUD exhibited a decline in transmissible risk following first exposure.

CONCLUSION

Initial use of cannabis potentiates development of CUD in youths who are at high transmissible risk but is inconsequential in youths having low risk. The practical ramifications of these results for prevention are discussed.

High and low neurobehavior disinhibition clusters within locales: implications for community efforts to prevent substance use disorder

BACKGROUND

Knowledge of where substance use and other such behavioral problems frequently occur has aided policing, public health, and urban planning strategies to reduce such behaviors. Identifying locales characterized by high childhood neurobehavioral disinhibition (ND), a strong predictor of substance use and consequent disorder (SUD), may likewise improve prevention efforts.

OBJECTIVES

The distribution of ND in 10-12-year olds was mapped to metropolitan Pittsburgh, PA, and tested for clustering within locales.

METHODS

The 738 participating families represented the population in terms of economic status, race, and population distribution. ND was measured using indicators of executive cognitive function, emotion regulation, and behavior control. Innovative geospatial analyzes statistically tested clustering of ND within locales while accounting for geographic barriers (large rivers, major highways), parental SUD severity, and neighborhood quality.

RESULTS

Clustering of youth with high and low ND occurred in specific locales. Accounting for geographic barriers better delineated where high ND is concentrated, areas which also tended to be characterized by greater parental SUD severity and poorer neighborhood quality.

CONCLUSIONS AND SIGNIFICANCE

Offering programs that have been demonstrated to improve inhibitory control in locales where youth have high ND on average may reduce youth risk for SUD and other problem behaviors. As demonstrated by the present results, geospatial analysis of youth risk factors, frequently used in community coalition strategies, may be improved with greater statistical and measurement rigor.

Modeling the association between sexual maturation, transmissible risk, and peer relationships during childhood and adolescence on development of substance use disorder in young adulthood

BACKGROUND

This prospective study investigated pubertal timing and transmissible risk in relation to affiliation with deviant peers on the development of substance use disorder (SUD).

METHOD

Participants were boys (N = 500) ascertained through proband fathers with (N = 250), and without (N = 250) DSM-III-R lifetime diagnosis of SUD who were prospectively tracked from age 10-12 to 22. Transmissible liability index (TLI), Tanner stage, peer delinquency, and substance use were measured at ages 10-12 and 16. SUD diagnosis during early adulthood was determined.

RESULTS

Structural equation modeling revealed two pathways in which transmissible risk and sexual maturation influenced development of SUD. In the first pathway, transmissible risk was correlated with and prospectively predicted affiliation with deviant peers and substance use presaging SUD. In the second pathway, advanced sexual maturation positively predicted affiliation with deviant peers and substance use, which in turn predicted SUD. However, transmissible risk was not associated with pubertal development.

CONCLUSION

These findings indicate that advanced sexual maturation and transmissible risk constitute unrelated facets of SUD liability; however, both factors bias development toward SUD via affiliation with deviant peers.

SCIENTIFIC SIGNIFICANCE

Youth with advanced sexual maturation and/or transmissible risk for SUD are at higher risk for developing SUD. Additional research is needed to determine if addressing these risk factors will contribute to advancements in SUD prevention.

Age of alcohol and cannabis use onset mediates the association of transmissible risk in childhood and development of alcohol and cannabis disorders: evidence for common liability

Age at the time of first alcohol and cannabis use was investigated in relation to a measure of transmissible (intergenerational) risk for addiction in childhood and development of alcohol use disorder (AUD) and cannabis use disorder (CUD). It was hypothesized that age at the time of first experience with either substance mediates the association between transmissible risk and subsequent diagnosis of both disorders. The Transmissible Liability Index (TLI; (Vanyukov et al., 2009) was administered to 339 10- to 12-year-old boys (n = 254) and girls (n = 85). Age at the time of first alcohol and cannabis use, and diagnosis of AUD and CUD, were prospectively tracked to age 22. Each standard deviation unit increase in TLI severity corresponded to a reduction in age of alcohol and cannabis use onset by 3.2 months and 4.6 months, respectively. Age at the time of first alcohol use mediated the association of TLI with both AUD and CUD. Parallel results were obtained for cannabis. Whereas transmissible risk is congenerous to both AUD and CUD, its magnitude was 7 times greater in youths who initiated substance use with cannabis. TLI predicts age of first use of alcohol and cannabis that is common to developing both AUD and CUD. The ramifications of these findings for prevention are discussed.

Quick screen to detect current substance use disorder in adolescents and the likelihood of future disorder

AIMS

A brief screen requiring 3-4min administration time was developed to detect adolescents qualifying for current substance use disorder (SUD) and those who will subsequently manifest SUD by early adulthood.

METHODS

The revised Drug Use Screening Inventory (DUSI-R; Tarter, 1990) was administered to 329 boys on three occasions (ages 12-14, 15-17 and 18-19years of age). Principal components analysis yielded a core set of items to form three age-specific versions of the DUSI-R Quick Screen (DQS), consisting of the Substance Involvement Index and Problems Severity Index.

RESULTS

Construct, concurrent and predictive validity of the DQS were in the good to excellent range. Sensitivity of the DQS at ages 12-14, 15-17 and 18-19 for detecting current SUD was 100%, 93% and 93%. The DQS at these ages predicted SUD by age 22 with 73%, 77% and 83% accuracy. Replication in another sample revealed sensitivity of 71% and 75% in 15-17 and 18-20year old males.

CONCLUSIONS

The true positive rate of detecting current and future SUD suggests that the DQS is an efficient screen for identifying youths requiring treatment or secondary prevention.

Relation among HPA and HPG neuroendocrine systems, transmissible risk and neighborhood quality on development of substance use disorder: results of a 10-year prospective study

BACKGROUND

Research has shown involvement of hormones of the hypothalamic pituitary adrenal (HPA) axis and hypothalamic pituitary gonadal (HPG) axis in the regulation of behaviors that contribute to SUD risk and its intergenerational transmission. Neighborhood environment has also been shown to relate to hormones of these two neuroendocrine systems and behaviors associated with SUD liability. Accordingly, it was hypothesized that (1) parental SUD severity and neighborhood quality correlate with activity of the HPG axis (testosterone level) and HPA axis (cortisol stability), and (2) transmissible risk during childhood mediates these hormone variables on development of SUD measured in adulthood.

METHODS

Transmissible risk for SUD measured by the transmissible liability index (TLI; Vanyukov et al., 2009) along with saliva cortisol and plasma testosterone were prospectively measured in boys at ages 10-12 and 16. Neighborhood quality was measured using a composite score encompassing indicators of residential instability and economic disadvantage. SUD was assessed at age 22.

RESULTS

Neither hormone variable cross-sectionally correlated with transmissible risk measured at ages 10-12 and 16. However, the TLI at age 10-12 predicted testosterone level and cortisol stability at age 16. Moreover, testosterone level, correlated with cortisol stability at age 16, predicted SUD at age 22.

CONCLUSION

HPA and HPG axes activity do not underlie variation in TLI, however, high transmissible risk in childhood predicts neuroendocrine system activity presaging development of SUD.