An accelerated course of TMS using intermittent theta burst for veterans with major depressive disorder: A case series.

BACKGROUND: Transcranial magnetic stimulation (TMS) is a neuro-modulation technique for treatment-resistant major depressive disorder (MDD). Standard TMS protocols for MDD involve once-daily treatment for 6 to 9 weeks. We report a case series of an accelerated TMS protocol for outpatient MDD treatment. METHODS: From July 2020 through January 2021, patients deemed appropriate candidates for TMS treatment were offered an accelerated TMS protocol consisting of intermittent theta burst stimulation (iTBS) applied to the left dorsolateral prefrontal cortex, localized by the Beam F3 method, and consisting of 5 treatments daily for 5 days. Assessment scales were obtained as part of standard clinical care. RESULTS: A total of 19 veterans received the accelerated protocol and 17 completed treatment. Statistically significant mean reductions from baseline to end of treatment were observed across all assessment scales. Remission and response rates, as defined by changes in Montgomery-Åsberg Depression Rating Scale scores, were 47.1% and 64.7%, respectively. Treatments were well tolerated without unexpected or serious adverse events. CONCLUSIONS: This case series details the safety and efficacy of an accelerated iTBS TMS protocol consisting of 25 treatments over 5 days. Improved depressive symptoms were observed, with remission and response rates similar to standard TMS protocols of daily TMS for ≥6 weeks.

Health Conditions Among Special Operations Forces Versus Conventional Military Service Members: A VA TBI Model Systems Study.

OBJECTIVE: To examine traumatic brain injury (TBI) characteristics and comorbid medical profiles of Special Operations Forces (SOF) Active Duty Service Member/Veterans (ADSM/Vs) and contrast them with conventional military personnel. SETTING: The 5 Veterans Affairs (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS: A subset of participants in the VA TBI Model Systems multicenter longitudinal study with known SOF status. These included 157 participants who identified as SOF personnel (average age = 41.8 years; 96% male, 81% active duty), and 365 who identified as Conventional Forces personnel (average age = 37.4 years; 92% male, 30% active duty). DESIGN: Retrospective analysis of prospective cohort, cross-sectional. MAIN MEASURES: The Health Comorbidities Interview. RESULTS: SOF personnel were more likely to have deployed to a combat zone, had more years of active duty service, and were more likely active duty at time of TBI. SOF personnel were more likely to have had mild TBI (vs moderate/severe) and their TBI caused by violent mechanism. SOF personnel had a higher number of comorbidities, with more diagnoses of chronic pain, osteoarthritis, hyperlipidemia, hip fractures, and obstructive sleep apnea. CONCLUSION: SOF personnel are at a higher risk for multimorbidity after TBI. Current rehabilitation practices should incorporate early screening and treatment of common conditions in this population, while future practices may benefit from a focus on prevention.

Unique Features of the US Department of Defense Multidisciplinary Concussion Clinics.

The US Department of Defense (DoD) and the Department of Veterans Affairs (VA) actively address care needs for a subset of service members (SMs) who experience prolonged symptoms and adverse sequelae interfering with their usual level of function after sustaining mild traumatic brain injury. The development of multidisciplinary concussion clinics and implementation of several reinforcing policies within the DoD and the VA address this unique patient population. A network known as the National Intrepid Center of Excellence and Intrepid Spirit Centers and the VA, primarily support these patients through intensive outpatient programs. The VA also has an inpatient program that utilizes specialized capabilities. The features unique to several of these centers are described in this article. While providing for similar patient care needs, each clinical setting implements unique evaluation and treatment modalities to target analogous goals of return to the highest functional level possible and develop life skills to enhance health, quality of life, and readiness to perform military duties. Currently, patient-reported outcomes are being collected.

A population-based study of the comparative effectiveness of second-generation antipsychotics vs older antimanic agents in bipolar disorder.

OBJECTIVES: Numerous antimanic treatments have been introduced over the past two decades, particularly second-generation antipsychotics (SGAs). However, it is not clear whether such newer agents provide any advantage over older treatments. METHODS: A historical cohort design investigated the nationwide population of outpatients with bipolar disorder treated in the Department of Veterans Affairs who were newly initiated on an antimanic agent between 2003 and 2010 (N=27 727). The primary outcome was likelihood of all-cause hospitalization during the year after initiation, controlling for numerous demographic, clinical, and treatment characteristics. Potential correlates of effect were explored by investigating time to initiation of a second antimanic agent or antidepressant. RESULTS: After control for covariates, those initiated on lithium or valproate monotherapy, compared to those beginning SGA monotherapy, were significantly less likely to be hospitalized, had a longer time to hospitalization, and had fewer hospitalizations in the subsequent year. Those on combination treatment had a significantly higher likelihood of hospitalization, although they also had a longer time to addition of an additional antimanic agent or antidepressant. CONCLUSIONS: The present analysis of a large and unselected nationwide population provides important complementary data to that from controlled trials. Although various mechanisms may be responsible for the results, the data support the utilization of lithium or valproate, rather than SGAs, as the initial antimanic treatment in bipolar disorder. A large-scale, prospective, randomized, pragmatic clinical trial comparing the initiation of SGA monotherapy to that of lithium or valproate monotherapy is a logical next step.

The Ascendancy of Second-Generation Antipsychotics as Frontline Antimanic Agents.

INTRODUCTION: Knowledge of the factors affecting the adoption of new medications can enhance mental health care and guide quality improvement and policy development. Food and Drug Administration indications for treating bipolar disorder with several second-generation antipsychotics (SGAs) in the 2000s represent an opportunity to identify factors that impact the spread of a then-innovative treatment through a new population. METHODS: Analysis of Department of Veterans Affairs administrative data identified the population of 170,811 veterans diagnosed with bipolar disorder from 2003 to 2010. We analyzed time trends and predictors of antimanic choice (SGA vs other) among the 40,512 outpatients with bipolar disorder who initiated their first VA outpatient antimanic prescription, using multinomial logistic regression in month-by-month analyses. We conducted classwise analyses and investigated prespecified predictors among specific agents. RESULTS: In classwise analyses, SGAs supplanted lithium, valproate, and carbamazepine/oxcarbazepine as the most commonly initiated antimanics by 2007. Psychosis, but not other indices of severity, predicted SGA initiation. Demographic analyses did not identify substantial disparities in initiation of SGAs. Drug-specific analyses revealed some consideration of medical comorbidities in choosing among specific antimanic agents, although effect sizes were small. Most patients initiating an antimanic had received an antidepressant in the previous year. DISCUSSION: Second-generation antipsychotics quickly became the frontline antimanic treatment for bipolar disorder, although antidepressants most commonly predated antimanic prescriptions. Second-generation antipsychotics were used for a broad range of patients rather than being restricted to a severely ill subpopulation. The modest association of antimanic choice with relevant medical comorbidities suggests that continued attention to quality prescribing practices is warranted.

Off-label use of second generation antipsychotics for post-traumatic stress disorder in the Department of Veterans Affairs: time trends and sociodemographic, comorbidity, and regional correlates.

PURPOSE: Second generation antipsychotics (SGAs) are widely used for post-traumatic stress disorder (PTSD), although without strong evidence base. With substantial numbers of veterans returning from Iraq/Afghanistan conflicts with PTSD, it is important to characterize the extent of SGA use and identify associated factors. METHODS: We determined time trends and patient characteristics associated with the use of SGAs in veterans with PTSD, without comorbid schizophrenia or bipolar disorders, using the Department of Veterans Affairs national administrative data 2003-2010. RESULTS: Among 732,085 veterans with PTSD, 27.6% received an intentional trial of an SGA in 2003-2010. The annual number treated with SGAs almost doubled (45,268 to 84,197, p < 0.001), while prescribing rates decreased (28.6% to 21.5%, p < 0.001). In multivariate analyses, African Americans (odds ratio (OR) = 1.07, 95%confidence interval (CI) = 1.06-1.09) and Hispanics (OR = 1.13, 95%CI = 1.10-1.17) were more likely to receive SGAs than Whites. Strongest clinical associations were with prior diagnosis of depression (OR = 1.96; 95%CI = 1.94-1.99), substance use disorders (OR = 1.86; 95%CI = 1.84-1.88), and other anxiety disorders (OR = 1.27; 95%CI = 1.26-1.29) (all p - < 0.0001) as well as cardiovascular risk factors. Veterans previously deployed to Iraq/Afghanistan had lower likelihood of SGA receipt. Substantial regional differences were demonstrated (South > Northeast; Midwest and West < Northeast; p < 0.0001); regional administrative units (veterans integrated service networks) contributed minimally to regional differences. CONCLUSIONS: Post-traumatic stress disorder population growth is driving substantial increases in SGA use. Decreasing rates of the Department of Veterans Affairs prescribing may be due to integrated system-wide mechanisms (e.g., national practice guidelines), although regional variations remain prominent. These analyses provide foundational steps for identifying modifiable provider-level and organization-level determinants of SGA prescription in this growing population.

Patterns of initiation of second generation antipsychotics for bipolar disorder: a month-by-month analysis of provider behavior.

BACKGROUND: Several second generation antipsychotics (SGAs) received FDA approval for bipolar disorder in the 2000s. Although efficacious, they have been costly and may cause significant side effects. Little is known about the factors associated with prescribers' decisions to initiate SGA prescriptions for this condition. METHODS: We gathered administrative data from the Department of Veterans Affairs on 170,713 patients with bipolar disorder between fiscal years 2003-2010. Patients without a prior history of taking SGAs were considered eligible for SGA initiation during the study (n =126,556). Generalized estimating equations identified demographic, clinical, and comorbidity variables associated with initiation of an SGA prescription on a month-by-month basis. RESULTS: While the number of patients with bipolar disorder using SGAs nearly doubled between 2003 and 2010, analyses controlling for patient characteristics and the rise in the bipolar population revealed a 1.2% annual decline in SGA initiation during this period. Most medical comorbidities were only modestly associated with overall SGA initiation, although significant differences emerged among individual SGAs. Several markers of patient severity predicted SGA initiation, including previous hospitalizations, psychotic features, and a history of other antimanic prescriptions; these severity markers became less firmly linked to SGA initiation over time. Providers in the South were somewhat more likely to initiate SGA treatment. CONCLUSIONS: The number of veterans with bipolar disorder prescribed SGAs is rising steadily, but this increase appears primarily driven by a corresponding increase in the bipolar population. Month-by-month analyses revealed that higher illness severity predicted SGA initiation, but that this association may be weakening over time.

Exploring the relationship between sleep apnea and vestibular symptoms following traumatic brain injury.

BACKGROUND: Traumatic brain injury (TBI) is a complex health problem in military veterans and service members (V/SM) that often involves comorbid vestibular impairment. Sleep apnea is another comorbidity that may exacerbate, and/or be exacerbated by, vestibular dysfunction. OBJECTIVE: To examine the relationship between sleep apnea and vestibular symptoms in V/SM diagnosed with TBI of any severity. DESIGN: Multicenter cohort study; cross-sectional sample. SETTING: In-patient TBI rehabilitation units within five Veterans Affairs (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS: V/SM with a diagnosis of TBI (N = 630) enrolled in the VA TBI Model Systems study. INTERVENTION: Not applicable. METHODS: A multivariable regression model was used to evaluate the association between sleep apnea and vestibular symptom severity while controlling for relevant covariates, for example, posttraumatic stress disorder (PTSD). MAIN OUTCOME MEASURES: Lifetime history of sleep apnea was determined via best source reporting. Vestibular disturbances were measured with the 3-item Vestibular subscale of the Neurobehavioral Symptom Inventory (NSI). RESULTS: One third (30.6%) of the sample had a self-reported sleep apnea diagnosis. Initial analysis showed that participants who had sleep apnea had more severe vestibular symptoms (M = 3.84, SD = 2.86) than those without sleep apnea (M = 2.88, SD = 2.67, p < .001). However, when the data was analyzed via a multiple regression model, sleep apnea no longer reached the threshold of significance as a factor associated with vestibular symptoms. PTSD severity was shown to be significantly associated with vestibular symptoms within this sample (p < .001). CONCLUSION: Analysis of these data revealed a relationship between sleep apnea and vestibular symptoms in V/SM with TBI. The significance of this relationship was affected when PTSD symptoms were factored into a multivariable regression model. However, given that the mechanisms and directionality of these relationships are not yet well understood, we assert that in terms of clinical relevance, providers should emphasize screening for each of the three studied comorbidities (sleep apnea, vestibular symptoms, and PTSD).

An evidence-based approach to psychopharmacology for posttraumatic stress disorder (PTSD) - 2022 update.

Algorithms for posttraumatic stress disorder were published by this team in 1999 and 2011. Developments since then warrant revision. New studies and review articles from January 2011 to November 2021 were identified via PubMed and analyzed for evidence supporting changes. Following consideration of variations required by special patient populations, treatment of sleep impairments remains as the first recommended step. Nightmares and non-nightmare disturbed awakenings are best addressed with the anti-adrenergic agent prazosin, with doxazosin and clonidine as alternatives. First choices for difficulty initiating sleep include hydroxyzine and trazodone. If significant non-sleep PTSD symptoms remain, an SSRI should be tried, followed by a second SSRI or venlafaxine as a third step. Second generation antipsychotics can be considered, particularly for SSRI augmentation when PTSD-associated psychotic symptoms are present, with the caveat that positive evidence is limited and side effects are considerable. Anti-adrenergic agents can also be considered for general PTSD symptoms if not already tried, though evidence for daytime use lags that available for sleep. Regarding other pharmacological and procedural options, e.g., transcranial magnetic stimulation, cannabinoids, ketamine, psychedelics, and stellate ganglion block, evidence does not yet support firm inclusion in the algorithm. An interactive version of this work can be found at www.psychopharm.mobi.

Neurobehavioral Symptoms in U.S. Special Operations Forces in Rehabilitation After Traumatic Brain Injury: A TBI Model Systems Study.

INTRODUCTION: Special Operations Forces (SOF) personnel are at increased risk for traumatic brain injury (TBI), when compared with conventional forces (CF). Prior studies of TBI in military samples have not typically investigated SOF vs. CF as specific subgroups, despite documented differences in premorbid resilience and post-injury comorbidity burden. The aim of the current study was to compare SOF vs. CF on the presence of neurobehavioral symptoms after TBI, as well as factors influencing perception of symptom intensity. MATERIALS AND METHODS: This study conducted an analysis of the prospective veterans affairs (VA) TBI Model Systems Cohort, which includes service members and veterans (SM/V) who received inpatient rehabilitation for TBI at one of the five VA Polytrauma Rehabilitation Centers. Of those with known SOF status (N = 342), 129 participants identified as SOF (average age = 43 years, 98% male) and 213 identified as CF (average age = 38.7 years, 91% male). SOF vs. CF were compared on demographics, injury characteristics, and psychological and behavioral health symptoms. These variables were then used to predict neurobehavioral symptom severity in univariable and multivariable analyses. RESULTS: SOF personnel reported significantly greater posttraumatic stress disorder (PTSD) symptoms but less alcohol and drug use than the CF. SOF also reported greater neurobehavioral symptoms. When examining those with TBIs of all severities, SOF status was not associated with neurobehavioral symptom severity, while race, mechanism of TBI, and PTSD symptoms were. When examining only those with mTBI, SOF status was associated with lower neurobehavioral symptoms, while PTSD severity, white race, and certain mechanisms of injury were associated with greater neurobehavioral symptoms. CONCLUSIONS: Among those receiving inpatient treatment for TBI, SOF SM/V reported higher neurobehavioral and symptom severity. PTSD was the strongest predictor of neurobehavioral symptoms and should be considered an important treatment target in both SOF and CF with co-morbid PTSD/TBI. A proactive human performance approach towards identification and treatment of psychological and neurobehavioral symptoms is recommended for SOF.

The Relationship of Transcranial Magnetic Stimulation With Sleep and Plasticity.

Neuroplasticity is an area of expanding interest in psychiatry. Plasticity and metaplasticity are processes contributing to the scaling up and down of neuronal connections, and they are involved with changes in learning, memory, mood, and sleep. Effective mood treatments, including repetitive transcranial magnetic stimulation (rTMS), are reputed to work via changes in neuronal circuitry. This article explores the interrelatedness of sleep, plasticity, and rTMS treatment. A PubMed-based literature review was conducted to identify all available studies examining the relationship of rTMS, plasticity, and sleep. Key words used in this search included "TMS," "transcranial magnetic stimulation," "plasticity," "metaplasticity," "sleep," and "insomnia." Depressed mood tends to be associated with impaired neural plasticity, while antidepressant treatments can augment neural plasticity. rTMS impacts plasticity, yielding long-lasting effects, with differing impacts on the waking and sleeping brain. Higher quality sleep promotes plasticity and learning. Reports on the sleep impact of high-frequency and low-frequency rTMS are mixed. The efficacy of rTMS may rely on brain plasticity manipulation, enhanced via the stimulation of neural circuits. Total sleep time and sleep continuity are sleep qualities that are likely necessary but insufficient for the homeostatic plasticity driven by slow-wave sleep. Understanding the relationship between sleep and rTMS treatment is likely critical to enhancing outcomes.

Impact of Comorbid PTSD on Outcome of Repetitive Transcranial Magnetic Stimulation (TMS) for Veterans With Depression.

OBJECTIVE: A recent randomized controlled trial of repetitive transcranial magnetic stimulation (TMS) for major depressive disorder (MDD) in veterans raised the question of whether comorbid posttraumatic stress disorder (PTSD) negatively impacted the outcome of TMS in veterans. To address this, a quality database was analyzed to compare outcomes of MDD treated with TMS in veterans with and without comorbid PTSD. METHODS: The clinical outcomes of all consecutive veterans with MDD treated with TMS at the James A. Haley Veterans' Hospital as outpatients from October 2013 through September 2018 were included. Patients were initially evaluated by an experienced psychiatrist, and the diagnosis of MDD was made by clinical evaluation per DSM-IV-TR/DSM-5 criteria. At the start of treatment, after every 5 treatments, and at the end of treatment, patients were assessed with self-report and clinician-rated scales of depression. All data were abstracted from an existing quality database. RESULTS: Among the 118 patients treated with TMS for depression, 55 (47%) had comorbid PTSD and 63 (53%) had no comorbid PTSD. Response and remission rates by score on the Montgomery-Asberg Depression Rating Scale were similar between patients with PTSD (52.5% and 40.9%, respectively) and without PTSD (53.8% and 35.6%, respectively). No seizures or persistent adverse effects were observed or reported in either group. CONCLUSIONS: Comorbid PTSD did not impact the outcome of TMS for depression in this sample of veterans. Future studies should include formal ratings of PTSD to determine if the severity of PTSD affects the outcome.

Off-Label Prescribing of Second-Generation Antipsychotics to Elderly Veterans with Posttraumatic Stress Disorder and Dementia.

OBJECTIVES: To determine whether elderly veterans with posttraumatic stress disorder (PTSD) and dementia are more likely to be prescribed second-generation antipsychotics (SGAs) than those with PTSD alone. DESIGN: National serial cross-sectional study. SETTING: Veterans Health Affairs inpatient and outpatient settings. PARTICIPANTS: Veterans aged 65 and older with PTSD (excluding schizophrenia or bipolar disorder) with or without concomitant dementia who received care from the Veterans Health Administration between 2003 and 2010 were identified using International Classification of Diseases, Ninth Revision, codes (N = 93,068; 11.1% with dementia). MEASUREMENTS: Trends in SGA prescribing and odds of being prescribed an SGA were determined using a multivariable logistic regression model adjusted for clinical, sociodemographic, and geographic covariates. RESULTS: Between 2004 and 2009, SGA prescribing declined annually from 7.0% to 5.1% of elderly veterans with PTSD without dementia and 13.2% to 8.9% in those with dementia; findings over time consistently indicated that veterans with PTSD and dementia had at least twice the odds of being prescribed an SGA as those without PTSD (odds ratios 2.03 (95% confidence interval (CI) = 1.82-2.26) to 2.33 (95% CI = 2.10-2.58). CONCLUSION: Although the prescribing of SGAs to elderly veterans with PTSD has decreased, prescribing an SGA to those with dementia remained consistently higher than for those with PTSD alone and is problematic given the high prevalence of medical comorbidities in this aging population coupled with the lack of compelling evidence for effectiveness of SGAs in individuals with dementia.

Effects of diagnostic inclusion criteria on prevalence and population characteristics in database research.

OBJECTIVES: Studies of serious mental illnesses that use administrative databases have employed various criteria to establish diagnoses of interest. Several studies have assessed the validity of diagnostic inclusion criteria against research diagnoses. However, no studies have examined the effect of diagnostic inclusion criteria on prevalence and population characteristics across such groups. METHODS: Administrative data for 2003-2010 from the Department of Veterans Affairs were used to calculate prevalence rates and assess effects of varying the diagnostic inclusion criteria on population composition for bipolar disorder, schizophrenia, and posttraumatic stress disorder (PTSD). Specifically, for each diagnosis, mutually exclusive subpopulations were compared on the basis of the following inclusion criteria for a given diagnosis: one treatment encounter, two outpatient encounters or one inpatient encounter, and any two encounters. For bipolar disorder and schizophrenia, effects of excluding individuals who had a competing diagnosis of, respectively, schizophrenia or bipolar disorder in the prior 12 months and since 2002 were also determined. RESULTS: In 2010, moving from the broadest definitions of bipolar disorder (N=120,382), schizophrenia (N=91,977), and PTSD (N=554,028) to the most restrictive definitions reduced prevalence rates by, respectively, 28.7%, 34.9%, and 25.7%, with temporal trends for 2003-2010 paralleling results in 2010. Population composition changes with changing diagnostic inclusion criteria were variable, with predominantly small odds ratios. CONCLUSIONS: Population composition was relatively robust across common diagnostic inclusion criteria for each condition. Thus choice of criteria can focus on considerations of diagnostic validity and case-finding needs. Three mechanisms for the impact of diagnostic criteria on population composition in administrative data sets are discussed.

Associations between comorbid anxiety, diabetes control, and overall medical burden in patients with serious mental illness and diabetes.

OBJECTIVE: While previous work has demonstrated elevation of both comorbid anxiety disorders and diabetes mellitus type II in individuals with serious mental illness, little is known regarding the impact of comorbid anxiety on diabetes mellitus type II outcomes in serious mental illness populations. We analyzed baseline data from patients with serious mental illness and diabetes mellitus type II to examine relationships between comorbid anxiety, glucose control as measured by hemoglobin A1c score, and overall illness burden. METHODS: Using baseline data from an ongoing prospective treatment study involving 157 individuals with serious mental illness and diabetes mellitus type II, we compared individuals with and without a comorbid anxiety disorder and compared hemoglobin A1c levels between these groups to assess the relationship between anxiety and management of diabetes mellitus type II. We conducted a similar analysis using cumulative number of anxiety diagnoses as a proxy for anxiety load. Finally, we searched for associations between anxiety and overall medical illness burden as measured by Charlson score. RESULTS: Anxiety disorders were seen in 33.1% (N=52) of individuals with serious mental illness and diabetes mellitus type II and were associated with increased severity of depressive symptoms and decreased function. Hemoglobin A1c levels were not significantly different in those with or without anxiety, and having multiple anxiety disorders was not associated with differences in diabetes mellitus type II control. However, depressive symptoms were significantly associated with higher hemoglobin A1c levels. Neither comorbid anxiety nor anxiety load was significantly associated with overall medical burden. CONCLUSION: One in three people with serious mental illness and diabetes mellitus type II had anxiety. Depressive symptoms were significantly associated with Hb1Ac levels while anxiety symptoms had no relation to hemoglobin A1c; this is consistent with previously published work. More studies are needed to better understand the relationship between depression, anxiety, and health management in people with serious mental illness and diabetes mellitus type II.

Posttraumatic stress disorder, depression, and health-related quality of life in patients with bipolar disorder: review and new data from a multi-site community clinic sample.

BACKGROUND: Evidence suggests that patients with bipolar disorder have an elevated risk for comorbid posttraumatic stress disorder (PTSD) compared to those without a bipolar diagnosis. Although bipolar disorder is associated with decreased health-related quality of life (HRQOL), it is unclear whether comorbid PTSD interacts to affect HRQOL. METHOD: Baseline data from a multi-site study of patients with bipolar disorder were analyzed. Patient surveys ascertained clinical and demographic information, including physical and mental HRQOL based on the SF-12, mood symptoms (PHQ-9, Internal State Scale), and self-reported co-occurring conditions including PTSD. RESULTS: Overall (N=384), 44.9% of patients self-reported co-occurring PTSD. Patients with PTSD had lower physical and mental HRQOL scores compared to those without PTSD (mean (SD) for those with and without PTSD, respectively): Mental Component Scale score 30.51 (8.22) and 32.86 (8.35); Physical Component Scale score 35.56 (7.77) and 37.21 (7.20). After adjusting for demographic and clinical factors including mood symptoms, multiple linear regression analyses revealed that PTSD was no longer significantly associated with physical or mental HRQOL; however, depressive symptoms were independently associated with mental HRQOL (Beta -0.63, p<0.01). CONCLUSION: Depressive symptoms may explain the association between PTSD and mental HRQOL. Clinicians working with these patients will want to emphasize treatment of depression as important towards improving HRQOL for this group.

Quality of life among patients with bipolar disorder in primary care versus community mental health settings.

INTRODUCTION: Bipolar disorder is associated with functional impairment across a number of domains, including health-related quality of life (HRQOL). Many patients are treated exclusively in primary care (PC) settings, yet little is known how HRQOL outcomes compare between PC and community mental health (CMH) settings. This study aimed to explore the correlates of HRQOL across treatment settings using baseline data from a multisite, randomized controlled trial for adults with bipolar disorder. METHODS: HRQOL was measured using the SF-12 physical (PCS) and mental (MCS) composite scale scores. Independent sample t-tests were calculated to compare differences in HRQOL between settings. Multivariate regression models then examined the effect of treatment setting on HRQOL, adjusting for covariate demographic factors, mood symptoms (Internal State Scale), hazardous drinking (AUDIT-C), and substance abuse. RESULTS: A total of 384 enrolled participants completed baseline surveys. MCS and PCS scores reflected similar impairment in HRQOL across PC and CMH settings (p=0.98 and p=0.49, respectively). Depressive symptoms were associated with lower MCS scores (B=-0.68, p<0.001) while arthritis/chronic pain was strongly related to lower PCS scores (B=-5.23, p<0.001). LIMITATIONS: This study lacked a formal diagnostic interview, relied on cross-sectional self-report, and sampled from a small number of sites in two states. DISCUSSION: Participants reported similar impairments in both mental and physical HRQOL in PC and CMH treatment settings, emphasizing the need for integrated care for patients with bipolar disorder regardless of where they present for treatment.

The Psychopharmacology Algorithm Project at the Harvard South Shore Program: an update on posttraumatic stress disorder.

BACKGROUND: This project aimed to provide an organized, sequential, and evidence-supported approach to the pharmacotherapy of posttraumatic stress disorder (PTSD), following the format of previous efforts of the Psychopharmacology Algorithm Project at the Harvard South Shore Program. METHOD: A comprehensive literature review was conducted to determine the best pharmacological choices for PTSD patients and to update the last published version (1999) of the algorithm. We focused on optimal pharmacological interventions to address the prominent symptoms of PTSD, with additional attention to the impact that common comorbidities have on treatment choices. RESULTS: We found that SSRIs and SNRIs are not as effective as previously thought, and that awareness of their long-term side effects has increased. New evidence suggests that addressing fragmented sleep and nightmares can improve symptoms (in addition to insomnia) that are frequently seen with PTSD (e.g., hyperarousal, reexperiencing). Prazosin and trazodone are emphasized at this initial step; if significant PTSD symptoms remain, an antidepressant may be tried. For PTSD-related psychosis, an antipsychotic may be added. In resistant cases, two or three antidepressants may be used in sequence. Following that, or with partial improvement and residual symptomatology, augmentation may be tried; the best options are antipsychotics, clonidine, topiramate, and lamotrigine. CONCLUSION: This heuristic may be helpful in producing faster symptom resolution, fewer side effects, and increased compliance.