Healthcare utilization and readiness outcomes among soldiers with post-deployment at-risk drinking, by multimorbidity class.

Although alcohol use disorder (AUD) regularly co-occurs with other conditions, there has not been investigation of specific multimorbidity classes among military members with at-risk alcohol use. We used latent class analysis (LCA) to cluster 138,929 soldiers with post-deployment at-risk drinking based on their co-occurring psychological and physical health conditions and indicators of alcohol severity. We examined the association of these multimorbidity classes with healthcare utilization and military readiness outcomes. Latent class analysis was conducted on 31 dichotomous indicators capturing alcohol use severity, mental health screens, psychological and physical health diagnoses, and tobacco use. Longitudinal survival analysis was used to examine the relative hazards of class membership regarding healthcare utilization (e.g., emergency department visit, inpatient stay) and readiness outcomes (e.g., early separation for misconduct). Latent class analysis identified five classes: Class 1 -Relatively Healthy (51.6 %); Class 2 - Pain/Tobacco (17.3 %); Class 3 - Heavy Drinking/Pain/Tobacco (13.1 %); Class 4 - Mental Health/Pain/Tobacco (12.7 %); and Class 5 - Heavy Drinking/Mental Health/Pain/Tobacco (5.4 %). Musculoskeletal pain and tobacco use were prevalent in all classes, though highest in Classes 2, 4, and 5. Classes 4 and 5 had the highest hazards of all outcomes. Class 5 generally exhibited slightly higher hazards of all outcomes than Class 4, demonstrating the exacerbation of risk among those with heavy drinking/AUD in combination with mental health conditions and other multimorbidity. This study provides new information about the most common multimorbidity presentations of at-risk drinkers in the military so that targeted, individualized care may be employed. Future research is needed to determine whether tailored prevention and treatment approaches for soldiers in different multimorbidity classes is associated with improved outcomes.

Diagnostic profiles associated with long-term opioid therapy in active duty servicemembers.

INTRODUCTION: Over-prescription of opioids has diminished in recent years; however, certain populations remain at high risk. There is a dearth of research evaluating prescription rates using specific multimorbidity patterns. OBJECTIVE: To identify distinct clinical profiles associated with opioid prescription and evaluate their relative odds of receiving long-term opioid therapy. DESIGN: Retrospective analysis of the complete military electronic health record. We assessed demographics and 26 physiological, psychological, and pain conditions present during initial opioid prescription. Latent class analysis (LCA) identified unique clinical profiles using diagnostic data. Logistic regression measured the odds of these classes receiving long-term opioid therapy. SETTING: All electronic health data under the TRICARE network. PARTICIPANTS: All servicemembers on active duty during fiscal years 2016 through 2019 who filled at least one opioid prescription. MAIN OUTCOME MEASURES: Number and qualitative characteristics of LCA classes; odds ratios (ORs) from logistic regression. We hypothesized that LCA classes characterized by high-risk contraindications would have significantly higher odds of long-term opioid therapy. RESULTS: A total of N = 714,446 active duty servicemembers were prescribed an opioid during the study window, with 12,940 (1.8%) receiving long-term opioid therapy. LCA identified five classes: Relatively Healthy (82%); Musculoskeletal Acute Pain and Substance Use Disorders (6%); High Pain, Low Mental Health Burden (9%); Low Pain, High Mental Health Burden (2%), and Multisystem Multimorbid (1%). Logistic regression found that, compared to the Relatively Healthy reference, the Multisystem Multimorbid class, characterized by multiple opioid contraindications, had the highest odds of receiving long-term opioid therapy (OR = 9.24; p < .001; 95% confidence interval [CI]: 8.56, 9.98). CONCLUSION: Analyses demonstrated that classes with greater multimorbidity at the time of prescription, particularly co-occurring psychiatric and pain disorders, had higher likelihood of long-term opioid therapy. Overall, this study helps identify patients most at risk for long-term opioid therapy and has implications for health care policy and patient care.

Machine Learning Based Object Classification and Identification Scheme Using an Embedded Millimeter-Wave Radar Sensor.

A target's movements and radar cross sections are the key parameters to consider when designing a radar sensor for a given application. This paper shows the feasibility and effectiveness of using 24 GHz radar built-in low-noise microwave amplifiers for detecting an object. For this purpose a supervised machine learning model (SVM) is trained using the recorded data to classify the targets based on their cross sections into four categories. The trained classifiers were used to classify the objects with varying distances from the receiver. The SVM classification is also compared with three methods based on binary classification: a one-against-all classification, a one-against-one classification, and a directed acyclic graph SVM. The level of accuracy is approximately 96.6%, and an F1-score of 96.5% is achieved using the one-against-one SVM method with an RFB kernel. The proposed contactless radar in combination with an SVM algorithm can be used to detect and categorize a target in real time without a signal processing toolbox.

The association between child alcohol sipping and alcohol expectancies in the ABCD study.

BACKGROUND: Underage drinking is a serious societal concern, yet relatively little is known about child sipping of alcohol and its relation to beliefs about alcohol. The current study aimed to (1) examine the contexts in which the first sip of alcohol occurs (e.g., type of alcohol, who provided sip, sip offered or taken without permission); (2) examine the association between sipping and alcohol expectancies; and (3) explore how different contexts of sipping are related to alcohol expectancies. We expected to find that children who had sipped alcohol would have increased positive expectancies and reduced negative expectancies compared to children who had never sipped alcohol. METHODS: Data were derived from the 2.0 release of the Adolescent Brain Cognitive Development (ABCD) study, a longitudinal study of children in the United States. We utilized data from 4,842 children ages 9-11; 52% were male, 60% were White, 19% were Hispanic/Latinx, and 9% were Black/African American. RESULTS: We found that 22% of the sample had sipped alcohol. Children reported sipping beer most frequently, and the drink most often belonged to the child's father. We found that children who had sipped had higher positive alcohol expectancies than children who had not while accounting for variables related to alcohol expectancies. Child sipping was not significantly associated with negative expectancies and the context of the first sip of alcohol was not significantly associated with positive and negative expectancies. CONCLUSIONS: Providing sips of alcohol to children is associated with them having more favorable expectations about drinking.

The association of engagement in substance use treatment with negative separation from the military among soldiers with post-deployment alcohol use disorder.

BACKGROUND: Alcohol use disorder (AUD) reduces the health of soldiers and the readiness of the Armed Forces. It remains unknown if engagement in substance use treatment in the Military Health System improves retention in the military. METHODS: The sample consisted of active duty soldiers returning from an Afghanistan/Iraq deployment in fiscal years 2008-2010 who received an AUD diagnosis within 150 days of completing a post-deployment health re-assessment survey (n = 4,726). A Heckman probit procedure was used to examine predictors of substance use treatment initiation and engagement in accordance with Healthcare Effectiveness Data and Information Set (HEDIS) criteria. Cox proportional hazard modeling was used to examine the association between treatment engagement and retention, defined as a negative separation for a non-routine cause (e.g., separation due to misconduct, poor performance, disability) from the military in the two years following the index AUD diagnosis. RESULTS: 40 % of soldiers meeting HEDIS AUD criteria initiated and 24 % engaged in substance use treatment. Among soldiers diagnosed with AUD, meeting criteria for treatment engagement was associated with a significantly higher hazard of having a negative separation compared to soldiers who did not engage in treatment. CONCLUSIONS: Rates of initiation and engagement in substance use treatment for post-deployment AUD were relatively low. Soldiers with AUD who engaged in substance use treatment were more likely to have a negative separation from the military than soldiers with AUD who did not engage. Our findings imply that in the study cohort, treatment did not mitigate negative career consequences of AUD.

Prevalence and correlates of concussion in children: Data from the Adolescent Brain Cognitive Development study.

INTRODUCTION: Concussions are one of the most common causes for emergency room use in the United States (US) among youth and adolescents; however, prevalence data on concussion in this population are inconsistent. A growing body of literature has explored associations of a range of variables with pediatric concussion, but they have not been explored simultaneously in a well-powered sample in the US. The present study aimed to present lifetime concussion prevalence, evaluate demographic, psychological, and cognitive correlates of concussion, and assess for differences across these variables based on age of first concussion in a large sample of US children. METHODS: We analyzed the Adolescent Brain Cognitive Development (ABCD) sample, which monitors biopsychosocial development in 11,875 children at 21 sites across the US between ages 9 and 10. Along with presenting rates of concussion, we also evaluated the association of demographics, sleep disturbance, cognitive functioning, and externalizing and internalizing symptoms with concussion history using backwards binary logistic regression. We further conducted univariate comparisons of all variables between those who experienced their first concussion before and after age 5. Significance was based on α = .02, with Benjamini-Hochberg FDR adjustments for multiple comparisons. RESULTS: We found approximately 4% of the sample had experienced a concussion, and significant correlates of experiencing a concussion were male sex, increased family income, and higher somatic symptoms after FDR correction. Symptoms of ADHD were also noted as nominally significant. No differences based on age of first concussion were found. DISCUSSION: Our analyses provided updated prevalence estimates of pediatric concussion in the US that aligns with many hospital records-based studies. Our findings largely mirrored those in the literature with the exception of somatic symptoms. Limitations of findings and implications of individual findings are discussed.

An evaluation of suicidal risk in bipolar patients with comorbid posttraumatic stress disorder.

BACKGROUND: While bipolar disorder (BD) and posttraumatic stress disorder (PTSD) frequently co-occur and individually have a higher risk of suicide compared to the general population, few studies have examined the impact of comorbid PTSD on suicidal ideation in patients with BD. METHODS: We analyzed baseline data from the Clinical and Health Outcomes Initiative in Comparative Effectiveness for bipolar disorder study (Bipolar CHOICE), a 6-month, pharmacological comparative effectiveness trial of individuals with BD. Bipolar CHOICE enrolled 482 individuals. A hierarchical multiple regression analysis assessed whether comorbid PTSD was associated with increased suicidal ideation as assessed by the Concise Health Risk Tracking Scale (CHRT) total and factor scores, while controlling for common correlates of suicidal ideation in this population such as a current major depressive episode, comorbid anxiety disorders, severity of illness and previous suicide attempts. RESULTS: Consistent with our hypothesis, diagnosis of comorbid PTSD was a significant predictor of the CHRT total score (ß=2.59, p=.03). Comorbid PTSD was also a significant predictor of the CHRT propensity factor (ß=2.32, adjusted p=.04), but was not a significant predictor of the active suicidal thoughts factor. Additionally, all participants with comorbid PTSD (N = 58) endorsed current suicidal ideation (p=.005) and were more likely to have had a previous suicide attempt (p<.001) compared to those without PTSD. LIMITATIONS: Generalizability beyond outpatient settings is limited, mixed affective states were not assessed, and analyses were cross-sectional. CONCLUSIONS: Patients have an increased risk of suicidal ideation when PTSD is comorbid with BD.

Quality of Life in Heterogeneous Anxiety Disorders: Changes Across Cognitive-Behavioral Treatments.

Quality of life is lower among individuals with anxiety disorders; however, this construct is rarely a focus in treatment research. This study explores changes in quality of life in a randomized, controlled trial of several cognitive-behavioral treatments (CBTs) for anxiety disorders. Adults with heterogeneous anxiety disorders (N = 223) were randomly assigned to (a) unified protocol for transdiagnostic treatment of emotional disorders, (c) a single-disorder protocol targeting their principal diagnosis, or (c) a waitlist control condition, and assessed at baseline, posttreatment, and 6-month follow-up. At baseline, the sample evidenced deficits in quality of life, with no significant differences in quality of life across diagnoses or condition. Results suggest improved quality of life among participants in treatment, at similar rates across treatment condition and diagnostic category, and at levels significantly higher than the waitlist. Improvements were maintained through 6-month follow-up. This study supports CBT as effective in promoting quality of life.

Feasibility and Acceptability of a Lifestyle Intervention For Individuals With Bipolar Disorder.

Individuals with bipolar disorder are at greater risk for cardiovascular disease and are less likely to adhere to lifestyle interventions than the general population. To decrease cardiovascular risk and improve adherence to lifestyle interventions, we developed the Nutrition Exercise and Wellness Treatment (NEW Tx). NEW Tx is an 18-session, 20-week cognitive behavioral therapy-based treatment comprising 3 modules: Nutrition, Exercise, and Wellness. To evaluate the feasibility and acceptability of this intervention as well as predictors of treatment satisfaction and expectations, 38 adult outpatients with bipolar disorder were randomized to either NEW Tx or a waitlist control condition. There was no statistically significant difference in dropout rates between the groups (26.3% in NEW Tx, 31.6% in the control condition). In the NEW Tx condition, participants attended a mean of 66.7% of sessions and reported moderate to high satisfaction. There were no study-related adverse events. We also found that expectations, but not perceived credibility (or believability), of NEW Tx (as measured by the Credibility/Expectancy Questionnaire) at baseline predicted treatment satisfaction (as measured by the Care Satisfaction Questionnaire) posttreatment. Manic symptoms at baseline predicted treatment satisfaction, and marital status predicted one's expectations of lifestyle interventions. Data suggest that NEW Tx is a feasible and acceptable intervention for individuals with bipolar disorder and that further research is warranted to explore potential moderators of treatment expectations and credibility in this clinical population.

Pilot study of a lifestyle intervention for bipolar disorder: Nutrition exercise wellness treatment (NEW Tx).

BACKGROUND: Individuals with bipolar disorder (BD) are more likely than the general population to develop risk factors associated with cardiovascular disease, one of the leading causes of morbidity and mortality in this clinical population. To address this disproportionate medical burden, we developed Nutrition Exercise and Wellness Treatment (NEW Tx), a lifestyle intervention for individuals with BD. METHODS: In this study, participants were randomized to NEW Tx (n = 19) or a treatment as usual waitlist (n = 19). We examine the intervention's efficacy to improve the physical and psychological outcomes of individuals with BD. Assessors were blind to participant condition throughout study duration. RESULTS: The NEW Tx group reported increased weekly exercise duration and overall functioning, and decreased depression and illness severity over the study duration. However, only improvements in functioning were significantly greater in the NEW Tx group than in the control group. There were no group differences in weight loss or mood symptoms over the study duration. LIMITATIONS: Limitations to this study include lack of objective measurement of exercise and a small and relatively homogeneous sample. CONCLUSIONS: These data suggest that a manualized lifestyle intervention for BD may not be ideal to improve lifestyle changes in this clinical population. Further research is needed to pilot personalized approaches to creating a healthy lifestyle in BD.

Predictive modeling for response to lithium and quetiapine in bipolar disorder.

OBJECTIVES: Lithium and quetiapine are known to be effective treatments for bipolar disorder. However, little information is available to inform prediction of response to these medications. Machine-learning methods can identify predictors of response by examining variables simultaneously. Further evaluation of models on a test sample can estimate how well these models would generalize to other samples. METHODS: Data (N = 482) were drawn from a randomized clinical trial of outpatients with bipolar I or II disorder who received adjunctive personalized treatment plus either lithium or quetiapine. Elastic net regularization (ENR) was used to generate models for lithium and quetiapine; these models were evaluated on a test set. RESULTS: Predictions from the lithium model explained 17.4% of the variance in actual observed scores of patients who received lithium in the test set, while predictions from the quetiapine model explained 32.1% of the variance of patients that received quetiapine. Of the baseline variables selected, those with the largest parameter estimates were: severity of mania; attention-deficit/hyperactivity disorder (ADHD) comorbidity; nonsuicidal self-injurious behavior; employment; and comorbidity with each of two anxiety disorders (social phobia/society anxiety and agoraphobia). Predictive accuracy of the ENR model outperformed the simple and basic theoretical models. CONCLUSION: ENR is an effective approach for building optimal and generalizable models. Variables identified through this methodology can inform future research on predictors of response to lithium and quetiapine, as well as future modeling efforts of treatment choice in bipolar disorder.

A 77-GHz Six-Port Sensor for Accurate Near-Field Displacement and Doppler Measurements.

A continuous-wave (CW) radar sensor design based on a millimetre-wave six-port interferometer is proposed. A complete sensor prototype is conceived of, fabricated and measured at 77 GHz for short-range professional and industrial applications. This sensor is designed to measure distances and Doppler frequencies with high accuracy, at a reasonable cost. Accurate phase measurements are also performed using the six-port technology, which makes it a promising candidate for CW radar sensing applications. Advances in the performance and functionality of six-port sensors are surveyed to highlight recent progress in this area. These include improvements in design, low power consumption, high signal to noise ratio, compactness, robustness and simplicity in realization. Given the fact that they are easy to fabricate, due to the lack of active circuits and being highly accurate, it is expected that six-port sensors will significantly contribute to the development of human tracking devices and industrial sensors in the near future. The entire circuit prototype, including the transmitter, the receiver antenna, the six-port interferometer and the four power detectors have been integrated on a die. The circuit is fabricated using a hybrid integrated technology on a 127-µm ceramic substrate with a relative permittivity of εr=9.8. Calibrated tuning forks are used to assess the performance of the six-port sensor experimentally for various frequencies.

Examining the Feasibility and Acceptability of an Online Yoga Class for Mood Disorders: A MoodNetwork Study.

BACKGROUND: Despite ongoing advances in the treatment of mood disorders, a substantial proportion of people diagnosed with major depression or bipolar disorder remain symptomatic over time. Yoga, which has been shown to reduce stress and depressive symptoms, as well as to improve overall quality of life, shows promise as an adjunctive treatment. However, dissemination of yoga for clinical populations remains challenging. The purpose of this pilot study was to test the feasibility and acceptability of an online yoga intervention for individuals with mood disorders. METHODS: In total, 56 adults who reported being diagnosed with a mood disorder (bipolar disorder, major depressive disorder, cyclothymia, or schizoaffective disorder) were recruited from MoodNetwork, an online community of individuals with mood disorders. A feedback survey and a measure of positive and negative affect were administered before and after a 30-minute online Hatha yoga class. RESULTS: In total, 44 individuals (78.6%) completed all components of the yoga class. The mean score on a 10-point Likert scale rating how much participants liked the online yoga class was 7.24 (SD=2.40). Most participants (67.9%) reported that they would be "somewhat likely" or "very likely" to participate in an online yoga program again. There was a statistically significant decrease in negative affect after completing the class (t=-6.05; P<0.001), but positive affect did not change (P>0.10). DISCUSSION: These preliminary data support the utility of online yoga tailored specifically for people with mood disorders as a possible adjunctive intervention that warrants further investigation.

Treatment outcomes of acute bipolar depressive episode with psychosis.

BACKGROUND: The impact of psychosis on the treatment of bipolar depression is remarkably understudied. The primary aim of this study was to compare treatment outcomes of bipolar depressed individuals with and without psychosis. The secondary aim was to compare the effect of lithium and quetiapine, each with adjunctive personalized treatments (APTs), in the psychotic subgroup. METHODS: We assessed participants with DSM-IV bipolar depression included in a comparative effectiveness study of lithium and quetiapine with APTs (the Bipolar CHOICE study). Severity was assessed by the Bipolar Inventory of Symptoms Scale (BISS) and by the Clinical Global Impression Scale-Severity-Bipolar Version (CGI-S-BP). Mixed models were used to assess the course of symptom change, and Cox regression survival analysis was used to assess the time to remission. RESULTS: Psychotic features were present in 10.6% (n = 32) of the depressed participants (n = 303). Those with psychotic features had higher scores on the BISS before (75.2 ± 17.6 vs. 54.9 ± 16.3; P < .001) and after (37.2 ± 19.7 vs. 26.3 ± 18.0; P = .003) 6-month treatment. The CGI-S-BP yielded similar results. Participants with and without psychosis had similar course of symptom improvement and similar time to remission. There was no significant difference in the treatment outcomes of lithium (n = 11) and quetiapine (n = 21) among the psychotic subgroup. CONCLUSION: Bipolar depressive episodes with psychotic features are more severe, and compared to nonpsychotic depressions, present a similar course of improvement. Given the small number of participants presenting psychosis, the lack of statistically significant difference between lithium- and quetiapine-based treatment of psychotic bipolar depressive episodes needs replication in a larger sample.

Clinical correlates of acute bipolar depressive episode with psychosis.

BACKGROUND: Psychotic bipolar depressive episodes remain remarkably understudied despite being common and having a significant impact on bipolar disorder. The aim of this study is to identify the characteristics of depressed bipolar patients with current psychosis compared to those without psychosis. METHODS: We used baseline data of a comparative effectiveness study of lithium and quetiapine for bipolar disorder (the Bipolar CHOICE study) to compare demographic, clinical, and functioning variables between those with and without psychotic symptoms. Of the 482 participants, 303 (62.9%) were eligible for the present study by meeting DSM-IV criteria for an acute bipolar depressive episode. Univariate analyses were conducted first, and then included in a model controlling for symptom severity. RESULTS: The sample was composed mostly of women (60.7%) and the mean age was 39.5±12.1 years. Psychosis was present in 10.6% (n=32) of the depressed patients. Psychotic patients had less education, lower income, and were more frequently single and unemployed. Psychosis was also associated with a more severe depressive episode, higher suicidality, more comorbid conditions and worse functioning. Most group differences disappeared when controlling for depression severity. LIMITATIONS: Only outpatients were included and the presence of psychosis in previous episodes was not assessed. CONCLUSION: Psychosis during bipolar depressive episodes is present even in an outpatient sample. Psychotic, depressed patients have worse illness outcomes, but future research is necessary to confirm if these outcomes are only associated with the severity of the disorder or if some of them are independent of it.

L-Methylfolate For Bipolar I depressive episodes: An open trial proof-of-concept registry.

BACKGROUND: L-methylfolate is a compelling candidate to treat bipolar I major depressive episodes. While approved as an adjunct for unipolar major depressive disorder, no studies have been done to assess the tolerability, safety, and efficacy of L-methylfolate for bipolar depression. As a first step, we developed a registry of bipolar patients treated with L-methylfolate to examine tolerability and outcomes. METHODS: Subjects (N=10) received treatment as usual plus daily L-methylfolate 15mg for 6 weeks in this open-label registry. Depressive symptoms were assessed with the Montgomery Asberg Depression Rating Scale (MADRS) and manic symptoms with the Young Mania Rating Scale (YMRS). Effect size was measured with Cohen's d to provide an estimate of potential efficacy. RESULTS: The pre-treatment mean (SD) MADRS score was 23.4 (4.34); the post-treatment score was 13.9 (8.24). Cohen's d was 1.19. At post-treatment, 6/10 patients had at least 50% MADRS improvement, and 4/10 patients exhibited remission with MADRS≤10. The pre-treatment YMRS score was 3.2 (3.0); the post-treatment score was 2.7 (5.2). Cohen's d was 0.17. LIMITATIONS: This registry was a small open-label clinical trial for a fluctuating disorder. We cannot rule out that our results are due to regression to the mean. A controlled trial is warranted. CONCLUSIONS: This first proof-of-concept open registry suggests that L-methylfolate in combination with treatment as usual has potential to treat bipolar depression.