Trajectories Of Symptom Change Research Articles

Identifying latent subtypes of symptom trajectories in major depressive disorder patients and their predictors.

This study aimed to identify different symptom trajectories based on the severity of depression symptoms within a 2-month follow-up, and to explore predictive factors for different symptom trajectories. Three hundred and ninety-two adults diagnosed with major depressive disorder (MDD) were recruited from two longitudinal cohorts. Patients received antidepressant treatment as usual, and the depression symptoms were evaluated by the 17-item Hamilton depression rating scale (HAMD-17) at baseline, two weeks, and eight weeks. Based on the HAMD-17 scores, different trajectories of symptom change were distinguished by applying Growth Mixture Modeling (GMM). Furthermore, the baseline sociodemographic, clinical, and cognitive characteristics were compared to identify potential predictors for different trajectories. Through GMM, three unique depressive symptom trajectories of MDD patients were identified: (1) mild-severity class with significant improvement (Mild, n = 255); (2) high-severity class with significant improvement (High, n = 39); (3) moderate-severity class with limited improvement (Limited, n = 98). Among the three trajectories, the Mild class had a relatively low level of anxiety symptoms at baseline, whereas the High class had the lowest education level and the worst cognitive performance. Additionally, participants inthe Limited class exhibited an early age of onset and experienced a higher level of emotional abuse.MDD patients could be categorised into three distinct latent subtypes through different symptom trajectories in this study, and the characteristics of these subtype patients may inform identifications for trajectory-specific intervention targets.

Investigating change in the ability to decentre and depressive symptomatology over the course of a six-month mindfulness-based intervention in patients with persistent depression

Mindfulness-based interventions (MBIs) for depression use regular mindfulness practice as a means of helping patients build skills that allow them to respond more adaptively to negative mood. Although effects of practice are assumed to accumulate over time, little is known about the trajectories of change in skills and symptoms beyond the duration of standard eight-week interventions. Forty-four patients with persistent depression were recruited to participate in a 6-month blended MBI and provided self-reports of depressive symptomatology and their ability to decenter, the core skill cultivated in MBIs, at baseline, mid-intervention and after the end of the intervention. Trajectories of change were analysed using latent change score modelling. Thirty-one participants (70 %) completed the intervention having engaged in 68.6 % of practices on average. Trajectories of change in decentering and depression were best described by a combination of a constant change component and a limiting factor indicating decreasing rates with higher previous gains. Bivariate analyses showed significant lagged change to change coupling linking earlier changes in decentering with later changes in symptoms. The findings suggest that decentering skills increase throughout longer periods of practice and drive changes in symptoms to move patients closer to recovery or remission.

Identification of symptom clusters and change trajectories in patients with acute exacerbation of chronic obstructive pulmonary disease

Aim and objectivesThis study aimed to identify symptom cluster (SC) patterns and change trajectories in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD), the correlation of the SCs with laboratory and imaging indicators, and the intrinsic association of the SCs with prognostic outcomes and disease burden. MethodSymptom information was collected using a digital evaluation scoring system at the time of admission, on the third day after admission, and upon discharge. Laboratory and imaging examination data were compiled simultaneously. Exploratory factor analysis was used to identify the AECOPD SCs. The number of factors (clusters) was determined by examining factors with eigenvalues ≥1.0, using 0.50 for factor loadings as the minimum cut-off value. Spearman's correlation analysis was used to explore the link between the SCs and laboratory and imaging indicators, as well as the relationship between the severity of the symptoms in different clusters, prognostic outcomes, and disease burden. ResultsThis study included 148 patients. Three SCs were identified: activity-nutrition SC, breath-sleep SC and respiratory SC. Correlation analysis indicated a connection between the activity-nutrition SC and the white blood cell count, and serum sodium and potassium levels, whereas the breath-sleep SC was correlated with white blood cells and eosinophil counts, serum potassium level, and pleural effusion. Additionally, the respiratory SC was associated with serum calcium and magnesium levels, the partial pressure of carbon dioxide, and C-reactive protein (CRP) level. There was a positive correlation between the activity-nutrition SC and hospitalization cost, as well as between the breath-sleep SC and both the hospitalization length and cost. ConclusionPatients with AECOPD presented three SCs that affected the length and cost of hospitalization. Concurrently, the severity of the symptoms in the clusters was related to white blood cell and eosinophil counts; serum sodium, potassium, calcium, and magnesium levels; CRP level; the partial pressure of carbon dioxide; and pleural effusion, indicating that the symptoms in each clusters may share related physiological mechanisms. An in-depth exploration of the pathogenesis and intervention paths of health problems is of great significance for promoting precision nursing.

Expected symptom change trajectories for the early identification of probable treatment nonresponse in VA PTSD specialty care clinics: A proof-of-concept.

The purpose of measurement-based care (MBC) is to detect treatment nonresponse sufficiently early in treatment to adjust treatment plans and prevent failure or dropout. Thus, the potential of MBC is to provide the infrastructure for a flexible, patient-centered approach to evidence-based care. However, MBC is underutilized across the Department of Veterans Affairs (VA) posttraumatic stress disorder (PTSD) specialty clinics, likely because no actionable, empirically determined guidelines for using repeated measurement effectively are currently available to clinicians. With data collected as part of routine care in VA PTSD specialty clinics across the United States in the year prior to COVID-19 (n = 2,182), we conducted a proof-of-concept for a method of generating session-by-session benchmarks of probable patient nonresponse to treatment, which can be visualized alongside individual patient data using the most common measure of PTSD symptoms used in VA specialty clinics, the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (PCL-5). Using survival analysis, we first identified the probability of cases reaching clinically significant change at each session, as well as any significant moderators of treatment response. We then generated a multilevel model with initial symptom burden predicting the trajectory of PCL-5 scores across sessions. Finally, we determined the slowest changing 50% and 60% of all cases to generate benchmarks at each session for each level of the predictor(s) and then assessed the accuracy of these benchmarks at each session for classifying treatment responders and nonresponders. The final models were able to accurately identify nonresponders as early as the sixth session of treatment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Depressive and anxiety symptom trajectories in Polish adolescents during the COVID-19 pandemic and the outbreak of war in Ukraine: uncovering the role of family relations.

The aim of the study was to investigate longitudinal trajectories of change in anxiety and depression symptoms in Polish adolescents during the second year of the COVID-19 pandemic and after the outbreak of the war in Ukraine. Additionally, we aimed to identify risk/protective factors and outcomes associated with these trajectories. We collected data in three waves between November 2021 and May 2022. Adolescents (N = 281 in the first wave) completed the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, the Filial Responsibility Scale for Youth, and questions related to the COVID-19 pandemic and war in Ukraine. We identified three trajectories of depressive symptoms: resilient with low, stable symptoms (71% of participants), chronically elevated symptoms (11%), and acute symptoms followed by recovery (18%). We distinguished two trajectories of anxiety symptoms: resilient (75%) and chronic (25%). Non-resilient trajectories were predicted by higher levels of familial unfairness (perceived lack of equality and reciprocity in the family), relationship difficulties at school and at home, older age, and poor socioeconomic status. Chronic depressive and anxiety symptoms were associated with higher war-related concerns. These findings can inform preventive and therapeutic interventions for at-risk adolescents to reduce negative long-term outcomes of social crises.

Correction to Rauch et al. (2021).

Reports an error in "An intensive outpatient program with prolonged exposure for veterans with posttraumatic stress disorder: Retention, predictors, and patterns of change" by Sheila A. M. Rauch, Carly W. Yasinski, Loren M. Post, Tanja Jovanovic, Seth Norrholm, Andrew M. Sherrill, Vasiliki Michopoulos, Jessica L. Maples-Keller, Kathryn Black, Liza Zwiebach, Boadie W. Dunlop, Laura Loucks, Brittany Lannert, Monika Stojek, Laura Watkins, Mark Burton, Kelsey Sprang, Lauren McSweeney, Katie Ragsdale and Barbara O. Rothbaum (Psychological Services, 2021[Nov], Vol 18[4], 606-618). In the original article, in the second sentence of the paragraph under "Baseline to Post-Treatment Change in Symptoms" in the Results section, changes were needed to match the information given in Table 3. The sentence "Posttreatment scores were not available for 11 of the 77 completers on the PCL-5 and one of the 77 completers on the PHQ-9 due to administrations error, so baseline to posttreatment change in PCL-5 was calculated based on 68 veterans and for the PHQ-9 on 76 patients" should have said "Posttreatment scores were not available for 9 of the 77 completers on the PCL-5 due to administrations error, so baseline to posttreatment change in PCL-5 was calculated based on 68 veterans. N = 77 for all other measures." These changes do not alter the conclusions of this article. The online version of this article has been corrected. (The following abstract of the original article appeared in record 2020-50253-001). High rates of drop-out from treatment of PTSD have challenged implementation. Care models that integrate PTSD focused psychotherapy and complementary interventions may provide benefit in retention and outcome. The first 80 veterans with chronic PTSD enrolled in a 2-week intensive outpatient program combining Prolonged Exposure (PE) and complementary interventions completed symptom and biological measures at baseline and posttreatment. We examined trajectories of symptom change, mediating and moderating effects of a range of patient characteristics. Of the 80 veterans, 77 completed (96.3%) treatment and pre- and posttreatment measures. Self-reported PTSD (p < .001), depression (p < .001) and neurological symptoms (p < .001) showed large reductions with treatment. For PTSD, 77% (n = 59) showed clinically significant reductions. Satisfaction with social function (p < .001) significantly increased. Black veterans and those with a primary military sexual trauma (MST) reported higher baseline severity than white or primary combat trauma veterans respectively but did not differ in their trajectories of treatment change. Greater cortisol response to the trauma potentiated startle paradigm at baseline predicted smaller reductions in PTSD over treatment while greater reductions in this response from baseline to post were associated with better outcomes. Intensive outpatient prolonged exposure combined with complementary interventions shows excellent retention and large, clinically significant reduction in PTSD and related symptoms in two weeks. This model of care is robust to complex presentations of patients with varying demographics and symptom presentations at baseline. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Identifying trajectories of symptom change in adults with obsessive compulsive disorder receiving exposure and response prevention therapy

Exposure and response prevention (EX/RP) is a recommended psychotherapy for obsessive-compulsive disorder (OCD). Yet, not all patients benefit equally from EX/RP. Prior studies have examined EX/RP predictors by predicting endpoint symptoms and/or pre-post symptom change, rather than accounting for trajectories of symptom change across treatment. We pooled data from four NIMH-funded clinical trials, yielding a large sample (N = 334) of adults who received a standard course of manualized EX/RP. Independent evaluators rated OCD severity using the Yale-Brown Obsessive-Compulsive Scale (YBOCS). Data were analyzed using growth mixture modeling (GMM) to detect subgroups of participants with similar trajectories of symptom change followed by multinomial logistic regression to identify baseline variables capable of predicting class membership. GMM revealed three distinct trajectory classes: 22.5% of the sample showed dramatic improvement (dramatic progress class), 52.1% showed moderate improvement (moderate progress class), and 25.4% showed little change (little to no progress class). Membership in the little to no progress class was predicted by baseline avoidance and transdiagnostic internalizing factor levels. These findings suggest that OCD symptom improvement with outpatient EX/RP occurs via distinct trajectories. These findings have implication regarding identifying treatment non-responders and personalizing treatment depending one’s baseline characteristics in order to optimize treatment effectiveness.

Supplemental Material for Expected Symptom Change Trajectories for the Early Identification of Probable Treatment Nonresponse in VA PTSD Specialty Care Clinics: A Proof-of-Concept

Supplemental Material for Expected Symptom Change Trajectories for the Early Identification of Probable Treatment Nonresponse in VA PTSD Specialty Care Clinics: A Proof-of-Concept

Repetitive transcranial magnetic stimulation: Course and early prediction of response in depression

BackgroundRepetitive transcranial magnetic stimulation (rTMS) is an effective treatment for depression, yet few studies have mapped the trajectories of symptom change over treatment. Tracking clinical response during early treatment may be helpful to predict outcome, particularly non-response. MethodsWe used naturalistic data (N = 117) to examine changes in the Daily Symptom Index (DI-5) scores of adult patients with unipolar or bipolar depression who underwent ≥16 treatment sessions of left dorsolateral prefrontal cortex rTMS at a private psychiatric facility in Western Australia, between 2016 and 2019. ResultsTwo response trajectories were charted: non-response (N = 71, 61%) and response (N = 46, 39%). Both trajectories diverged at 99% confidence interval at session 10, which was used as the point to predict treatment response at session 20. The response group showed a reduction of 4.21 in the mean DI-5 score from baseline at session 10. On this basis, a 4-point reduction in the DI-5 score at session 10 was defined as predictor of responder status at session 20. If the improvement is < 4 points at session 10, the probability of non-response at session 20 is 75%. If the improvement is ≥ 4 points, the probability of response at session 20 is 66%. LimitationsThe DI-5 scores were not examined beyond 20 treatment sessions, which may have shown delayed responders in the non-response group. ConclusionsIn this study of depression response trajectories with rTMS treatment, prediction of response at session 20 can be made at session 10 of treatment. Further research is required to generalise the current findings.

Eating Disorder Symptom and Fear Change Trajectories During Imaginal Exposure Therapy: A Slope Network Analysis

Eating disorders (EDs) are characterized by fears related to food, body image, and social evaluation. Exposure-based interventions hold promise for targeting a range of ED fears and reducing ED psychopathology. We investigated change mechanisms and optimal fear targets in imaginal exposure therapy for EDs using a novel approach to network analysis. Individuals with an ED (N = 143) completed up to four online imaginal exposure sessions. Participants reported ED symptoms and fears at pretreatment, posttreatment, and 6-month follow-up. We constructed networks of symptoms (Model 1), fears (Model 2), and combined symptoms and fears (Model 3). Change trajectory networks from the slopes of symptoms/fears across timepoints were estimated to identify how change in specific ED symptoms/fears related to change in other ED symptoms/fears. The most central changing symptoms and fears were feeling fat, fear of weight gain, guilt about one’s weight/shape, and feared concerns about consequences of eating. In Model 3, change in ED fears bridged to change in desire to lose weight, desiring a flat stomach, following food rules, concern about eating with others, and guilt. As slope networks present averages of symptom/fear change slopes over the course of imaginal exposure therapy, further studies are needed to examine causal relationships between symptom changes and heterogeneity of change trajectories. Fears of weight gain and consequences of eating may be optimal targets for ED exposure therapy, as changes in these fears were associated with maximal change in ED pathology. Slope networks may elucidate change mechanisms for EDs and other psychiatric illnesses.

Early trajectories of symptom change and working alliance as predictors of treatment outcome

ABSTRACT Objective We aim to examine how different trajectories of symptom change and working alliance in early psychotherapy predict treatment outcomes. Method We performed a growth mixture model (GMM) to examine trajectories of symptom change and working alliance in the first five therapy sessions in a sample of 272 outpatients and tested the association of early symptom trajectories and alliance patterns with treatment outcome. Results We identified two symptom trajectories: high symptom/steady change (63.2%) and early improving (36.8%), and four alliance development patterns: undeveloped alliance (40.1%), strengthening moderate alliance (31.6%), optimal alliance (17.3%), and improved alliance (11%) in early psychotherapy. The symptom trajectories and alliance patterns both independently and interactively predicted treatment outcomes. The optimal alliance was generally associated with the best outcome. The effect of improved alliance on treatment outcome was moderated by symptom trajectories: for high symptom/steady change subgroup, the improved alliance was related to better treatment outcome, whereas for early improving subgroup, the improved alliance was associated with poorer outcome. Conclusions Patients fell into different trajectories regarding symptom reduction and alliance development in early psychotherapy that affected final treatment outcome. Combining early symptom trajectories and alliance trajectories simultaneously can facilitate routine outcome monitoring and contribute to the prediction of treatment outcome.

A SMART approach to personalized care: preliminary data on how to select and sequence skills in transdiagnostic CBT

ABSTRACT Given that over 20 million adults each year do not receive care for their mental health difficulties, it is imperative to improve system-level capacity issues by increasing treatment efficiency. The present study aimed to collect feasibility/acceptability data on two strategies for increasing the efficiency of cognitive behavioral therapy: (1) personalized skill sequences and (2) personalized skill selections. Participants (N = 70) with anxiety and depressive disorders were enrolled in a pilot sequential multiple assignment randomized trial (SMART). Patients were randomly assigned to receive skill modules from the Unified Protocol in one of three sequencing conditions: standard, sequences that prioritized patients’ relative strengths, and sequences that prioritized relative deficits. Participants also underwent a second-stage randomization to either receive 6 sessions or 12 sessions of treatment. Participants were generally satisfied with the treatment they received, though significant differences favored the Capitalization and Full duration conditions. There were no differences in trajectories of improvement as a function of sequencing condition. There were also no differences in end-of-study outcomes between brief personalized treatment and full standard treatment. Thus, it may be feasible to deliver CBT for personalized durations, though this may not substantially impact trajectories of change in anxiety or depressive symptoms.

Trajectories of Symptom Change in School-Based Prevention Programs for Adolescent Girls with Subclinical Depression

Effectiveness research on depression prevention usually compares pre- to post-intervention outcomes across groups, but this aggregation across individuals may mask heterogeneity in symptom change trajectories. Hence, this study aimed to identify subgroups of adolescents with unique trajectories of change in a school-based depression prevention trial. It was also examined how trajectory membership was associated with the intervention conditions, depressive symptoms at 12-month follow-up, and baseline predictors. Hundred-ninety adolescent girls (Mage = 13.34; range = 11–16 years) with subclinical depression at screening (M = 57 days before pre-test) were allocated to four conditions: a face-to-face, group-based program (OVK), a computerized, individual program (SPARX), OVK and SPARX combined, and a monitoring control condition. Growth Mixture Modeling was used to identify the distinct trajectories during the intervention period using weekly depressive symptom assessments from pre-test to post-test. Analyses revealed three trajectories of change in the full sample: Moderate-Declining (62.1% of the sample), High-Persistent (31.1%), and Deteriorating-Declining (6.8%) trajectories. Trajectories were unrelated to the intervention conditions and the High-Persistent trajectory had worse outcomes at follow-up. Several baseline factors (depression severity, age, acceptance, rumination, catastrophizing, and self-efficacy) enabled discrimination between trajectories. It is concluded that information about likely trajectory membership may enable (school) clinicians to predict an individual’s intervention response and timely adjust and tailor intervention strategies as needed.

Latent trajectories of symptom change during cognitive-behavior therapy predict post-treatment worsening of symptoms: a preliminary examination among outpatients with bulimia-spectrum eating disorders.

PurposeUp to 44% of individuals with bulimia nervosa (BN) experience worsening of symptoms after cognitive behavior therapy (CBT). Identifying risk for post-treatment worsening of symptoms using latent trajectories of change in eating disorder (ED) symptoms during treatment could allow for personalization of treatment to improve long-term outcomesMethodsParticipants (N = 56) with BN-spectrum EDs received 16 sessions of CBT and completed digital self-monitoring of eating episodes and ED behaviors. The Eating Disorder Examination was used to measured ED symptoms at post-treatment and 3-month follow-up. Latent growth mixture modeling of digital self-monitoring data identified latent growth classes. Kruskal–Wallis H tests examined effect of trajectory of change in ED symptoms on post-treatment to follow-up symptom change.ResultsMulti-class models of change in binge eating, compensatory behaviors, and regular eating improved fit over one-class models. Individuals with high frequency-rapid response in binge eating (H(1) = 10.68, p =0 .001, η2 = 0.24) had greater recurrence of compensatory behaviors compared to individuals with low frequency-static response. Individuals with static change in regular eating exhibited greater recurrence of binge eating than individuals with moderate response (H(1) = 8.99, p = 0.003, η2 = 0.20).ConclusionTrajectories of change in ED symptoms predict post-treatment worsening of symptoms. Personalized treatment approaches should be evaluated among individuals at risk of poor long-term outcomes.Level of evidenceIV, evidence obtained from multiple time series.Trial registrationClinicalTrials.gov registration number NCT03673540, registration date: September 17, 2018.Supplementary InformationThe online version contains supplementary material available at 10.1007/s40519-021-01348-5.

HIGHER INTRA-MUSCULAR FAT WITHIN KNEE EXTENSOR AND ADDUCTOR MUSCLES PREDICTS MORE PAINFUL AND PROGRESSIVE OSTEOARTHRITIS

Previous studies have shown that inter- and intramuscular fat, together, relate with knee osteoarthritis symptoms and disease features. However, the manual methods of fat and muscle segmentation from MR images are tedious and limit the feasibility of examining intra-muscular fat within separate muscle groups of the thigh. For this reason, it remains unclear whether fat within specific knee flexor, extensor, adductors or abductors contribute differentially to knee symptoms and trajectories of change in symptoms. To investigate how intramuscular fat within separate muscle groups of the thigh differentially predict knee symptoms and faster progression of knee symptoms over 5 years. This was an individual-level longitudinal study of 134 participants of the Osteoarthritis Initiative randomly selected among those who had thigh MR images available at the 24-month visit (v03). A total of 15 transaxial intermediate weighted turbo spin echo image slices were examined. A fully convolutional neural network was trained to segment all thigh muscle groups using manually traced annotations (3D Slicer) verified by two radiologists. Original training (N=134) and CNN-predicted (N=235) muscle group output masks were both subjected through the iterative threshold -seeking algorithm (ITSA) that we previously developed to quantify fat volume and percentages. All algorithms and computations were completed within Python 3.8.8(Jupyter). Group-based trajectory modeling (GBTM) identified and classified participants according to patterns of change in KOOS and WOMAC scores from 36 to 84 months (v05 – v09). Binary logistic regression models examined how fat volume (absolute and percentage, per standard deviation higher) within each muscle group predicted rapidly worsening symptoms versus relatively unchanged symptom levels. General linear models also predicted 36-month (v05) symptom values using single unit exposure contrasts (1cm 3 larger fat or muscle volume). All models adjusted for age, BMI, use of NSAIDs, and 20-m walking pace. Among 134 individuals (mean age: 64±9yrs; BMI: 30.09±4.67kg/m 2 ), GBTM identified 3 classes of pain trajectory patterns with more rapid progression being a distinct class compared to two groups showing unchanging symptom levels (Figure 1). A higher absolute (+7.03cm 3 ) and relative (0.06%) amount of intramuscular fat within the adductor muscles was associated with a higher odds of having rapid pain progression as measured by KOOS knee pain (OR: ranged from 1.57 to 1.65, concordance(C)=0.81) or WOMAC total score (OR: ranged from 1.45 to 1.56, C=0.63). A similar pattern was observed for a lower hamstring muscle volume (OR: 2.54(95%CI: 1.15,5.59)). On a linear scale, each 1 cm 3 larger fat volume within the rectus femoris was associated with 3.02(4.74,1.30) percentage points lower KOOS knee pain (more pain), 1.60(2.94,0.27) percentage points lower KOOS knee symptoms, and 2.51(1.17,3.85) points higher in WOMAC total score (more pain). A greater distribution of fat and smaller muscle volume within the adductors was predictive of a higher rate of pain worsening. However, a similar pattern of higher fat and lower muscle volume within the rectus femoris muscles was primarily responsible for worse absolute knee pain and symptoms within the next 12 months. CIHR PJT156274. Arthritis Society Ken Smith Stars Career Development Award. None of the authors have disclosures. CORRESPONDENCE ADDRESS: andy.wong@uhnresearch.ca

Identifying Trajectories of Symptom Change in Adults with Obsessive Compulsive Disorder Receiving Exposure and Response Prevention Therapy

Identifying Trajectories of Symptom Change in Adults with Obsessive Compulsive Disorder Receiving Exposure and Response Prevention Therapy

An intensive outpatient program with prolonged exposure for veterans with posttraumatic stress disorder: Retention, predictors, and patterns of change.

High rates of drop-out from treatment of PTSD have challenged implementation. Care models that integrate PTSD focused psychotherapy and complementary interventions may provide benefit in retention and outcome. The first 80 veterans with chronic PTSD enrolled in a 2-week intensive outpatient program combining Prolonged Exposure (PE) and complementary interventions completed symptom and biological measures at baseline and posttreatment. We examined trajectories of symptom change, mediating and moderating effects of a range of patient characteristics. Of the 80 veterans, 77 completed (96.3%) treatment and pre- and posttreatment measures. Self-reported PTSD (p < .001), depression (p < .001) and neurological symptoms (p < .001) showed large reductions with treatment. For PTSD, 77% (n = 59) showed clinically significant reductions. Satisfaction with social function (p < .001) significantly increased. Black veterans and those with a primary military sexual trauma (MST) reported higher baseline severity than white or primary combat trauma veterans respectively but did not differ in their trajectories of treatment change. Greater cortisol response to the trauma potentiated startle paradigm at baseline predicted smaller reductions in PTSD over treatment while greater reductions in this response from baseline to post were associated with better outcomes. Intensive outpatient prolonged exposure combined with complementary interventions shows excellent retention and large, clinically significant reduction in PTSD and related symptoms in two weeks. This model of care is robust to complex presentations of patients with varying demographics and symptom presentations at baseline. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Symptom change trajectories in patients with persistent somatic symptoms and their association to long-term treatment outcome

Objective: This study investigated symptom change trajectory for patients with persistent somatic symptoms (PSS) during psychotherapy and the association of these patterns with pre-treatment characteristics and long-term outcome. Methods: Growth mixture modeling was used to identify trajectory curves in a sample of N = 210 outpatients diagnosed with PSS and treated either with conventional cognitive behavioral therapy (CBT) or CBT enriched with emotion regulation training (ENCERT). Results: We identified three subgroups of patients with similar symptom change patterns over the course of treatment (a “no change,” “strong response,” and “slow change” subgroup). Higher initial anxiety symptoms were significantly associated with the no change and strong response subgroups; symptom-related disability in daily routine with no changes. Patients with a strong response had the highest proportion of reliable improvement at termination and at six-month-follow-up. Conclusion: Our results indicate that, instead of one common change pattern, patients with PSS respond differently to treatment. Due to the high association of symptom curves with long-term outcome, the identification and prediction of an individual’s trajectory could provide important information for clinicians to identify non-responding patients that are at risk for failure. Selecting personalized treatment interventions could increase the effectiveness of psychotherapy. Trial registration: ClinicalTrials.gov identifier: NCT01908855..

Treatment response trajectories in a three-week CPT-Based intensive treatment for veterans with PTSD

Response to weekly evidence-based PTSD treatments varies. Little is known about response trajectories and predictors in intensive PTSD treatments. This study sought to identify different trajectories of symptom change among veterans who completed a 3-week CPT-based intensive PTSD treatment program and examined potential predictors of trajectory group membership. Four hundred fifty-two veterans completed the program. Demographics, PTSD and depression severity, negative posttrauma cognitions, and alcohol use were assessed at intake and evaluated as possible predictors of group membership. Group based trajectory modeling was used to determine distinct groups based on PTSD symptom trajectory over the course of treatment, as well as predictors of group membership. Four distinct treatment trajectories were identified: Fast responders (15.3%), steady responders (32.0%), partial responders (38.4%), and minimal responders (14.4%). Fast and steady responders reported substantial symptom reductions and dropped below the “probable PTSD” threshold, with fast responders achieving improvements after just one week of treatment. Partial responders experienced clinically significant reductions but remained above the “probable PTSD” threshold. Minimal responders reported the highest baseline PTSD symptoms and changed the least throughout treatment. Negative posttrauma cognitions as well as self-reported and clinician-rated PTSD symptom severity assessed at intake successfully predicted trajectory membership. The identified trajectories closely resemble findings in the limited existing literature on intensive PTSD treatment trajectories. Results suggest that some individuals may improve with even shorter interventions and others might benefit from additional treatment sessions. Overall, findings support the importance of evaluating individual- and group-level treatment responses.

Trajectories of Function and Symptom Change in Desvenlafaxine Clinical Trials: Toward Personalized Treatment for Depression.

Heterogeneity has been documented in trajectories of symptom change during antidepressant treatment for major depressive disorder (MDD). It is unclear whether distinct trajectories of change exist for functioning during antidepressant treatment. This analysis explored distinct trajectories of functioning in MDD and tested whether they corresponded to trajectories of symptom change. Data were from 4317 patients and were pooled from 9 randomized placebo-controlled trials. Growth mixture modeling was used to identify trajectories of Hamilton Rating Scale for Depression (HRSD) and Sheehan Disability Scale (SDS) for placebo- and desvenlafaxine-treated patients. Three trajectories were identified for symptoms (HRSD) in patients receiving placebo (mean reduction baseline to week 8, -18.4 [most favorable] to -2.6 points [least favorable]). Four HRSD trajectories were identified for patients receiving desvenlafaxine (mean reduction from baseline to week 8, -17.2 [most favorable] to -2.6 points [least favorable]). Four trajectories were identified for functioning (SDS) in patients receiving placebo (mean reduction baseline to week 8, -13.6 [most favorable] to -0.8 points [least favorable]), and 3 for desvenlafaxine (-12.8 to -1.4 points, respectively). Percentages of agreement between most favorable HRSD and SDS trajectories were 75% (placebo) and 85% (desvenlafaxine), and for least favorable trajectories were 88% (placebo) and 80% (desvenlafaxine). Distinct trajectories of change based on symptoms and functioning were identified among patients with MDD receiving desvenlafaxine and among patients with MDD receiving placebo. Differentiating subpopulations of patients has the potential to provide a more personalized treatment of patients with MDD.ClinicalTrials.govIdentifiers: NCT00072774; NCT00277823; NCT00300378; NCT00384033; NCT00798707; NCT00863798; NCT01121484; NCT00824291; NCT01432457.