Symptom Clusters Research Articles

Symptom clusters and their impact on quality of life in multiple myeloma survivors: Secondary analysis of BMT CTN 0702 trial.

Autologous haematopoietic cell transplantation (autoHCT) and continuous post-transplant maintenance therapy are the standard of care in transplant-eligible multiple myeloma (MM) patients. We sought to describe symptom burden and identify symptom clusters occurring in MM patients after autoHCT using data from the BMT CTN 0702 randomized controlled trial comparing the outcomes of three treatment interventions after an autoHCT in 758 MM patients. We analysed individual transplant-related symptoms assessed via the FACT-BMT questionnaire at enrolment and annually for 4-year post-autoHCT. We also described the effect the individual symptoms and symptom clusters have on quality of life (QoL). We identified three stable symptom clusters: malaise symptom cluster (lack of energy, feeling ill, having pain, experiencing nausea, loss of appetite), physical symptom cluster (having skin problems, tremors, worsening eyesight, change in taste, shortness of breath, frequent colds) and emotional symptom cluster (feeling sad, being nervous, experiencing sleep problems). Malaise and emotional symptom clusters have a greater impact on QoL than the physical symptoms cluster. Identifying these symptoms warrant additional support in terms of psychosocial support, in addition to treatment of the physical symptoms themselves.

Development of a revised version of the transdiagnostic skills scale (T2S-R).

The transdiagnostic approach has been shown to offer promising prospects in psychopathology, based on the observation that common factors may be involved in different psychiatric disorders. The transdiagnostic skills scale (T2S) was developed recently to assess the skills that are disrupted in these disorders. However, studies have shown that the T2S has lower predictive power for externalizing than internalizing disorders. This may be due to the fact that the skills assessed do not include the control of urges and cravings. The aims of the current study are thus to develop a revised version of the T2S (T2S-R) integrating this dimension, and to assess its factor structure and invariance across employment status (workers vs. students) and the level of psychopathology. We recruited 1,298 French participants online through social media. They completed the revised version of the T2S and the symptomatic transdiagnostic test (S2T), which evaluates 11 clusters of psychiatric symptoms. We assessed the factor structure, internal consistency, invariance, and predictive validity of the revised T2S. We found a good fit for a bifactor exploratory structural equation modeling (B-ESEM) approach including a global skills factor and seven specific factors. The results also indicate that the new dimension (i.e., control of urges and cravings) has good predictive value, especially for externalizing problems. We also found total invariance of the scale across employment status and partial invariance across the level of psychopathology. The revised version of the T2S-R has good psychometric properties. It predicts better externalizing problems than the original version. However, the scale remains more correlated with internalizing than externalizing problems. We discuss the implications of the results on the transdiagnostic conceptualization and the interest of using a mixed approach combining transdiagnostic and diagnostic analyses.

Use of Quantitative Electroencephalography to Inform Age- and Sex-Related Differences in NMDA Receptor Function Following MK-801 Administration.

Sex- and age-related differences in symptom prevalence and severity have been widely reported in patients with schizophrenia, yet the underlying mechanisms contributing to these differences are not well understood. N-methyl-D-aspartate (NMDA) receptor hypofunction contributes to schizophrenia pathology, and preclinical models often use NMDA receptor antagonists, including MK-801, to model all symptom clusters. Quantitative electroencephalography (qEEG) represents a translational approach to measure neuronal activity, identify targetable biomarkers in neuropsychiatric disorders and evaluate possible treatments. Abnormalities in gamma power have been reported in patients with schizophrenia and correspond to psychosis and cognitive impairment. Further, as gamma power reflects cortical glutamate and GABA signaling, it is highly sensitive to changes in NMDA receptor function, and NMDA receptor antagonists aberrantly increase gamma power in rodents and humans. To evaluate the role of sex and age on NMDA receptor function, MK-801 (0.03-0.3 mg/kg, SC) was administered to 3- and 9-month-old male and female Sprague-Dawley rats that were implanted with wireless EEG transmitters to measure cortical brain function. MK-801-induced elevations in gamma power were observed in 3-month-old male and female and 9-month-old male rats. In contrast, 9-month-old female rats demonstrated blunted maximal elevations across a wide dose range. Importantly, MK-801-induced hyperlocomotor effects, a common behavioral screen used to examine antipsychotic-like activity, were similar across all groups. Overall, sex-by-age-related differences in gamma power support using qEEG as a translational tool to evaluate pathological progression and predict treatment response across a heterogeneous population.

Symptom clusters in adolescent depression and differential responses of clusters to pharmacologic treatment

ObjectiveSymptoms of depression in adolescents are widely variable, but they are often interactive and clustered. The analysis of interactions and clusters among individual symptoms may help predict treatment outcomes. We aimed to determine clusters of individual symptoms in adolescent depression and their changes in the response to pharmacological treatment. MethodA total of 95 adolescents, aged 12–17 years, with major depressive disorder were included. Participants were treated with escitalopram, and depressive symptoms were assessed at baseline (V1) and 1, 2, 4, 6, and 8 weeks (V6). The severity of depression was assessed using the Children's Depression Rating Scale-Revised. To construct network and clustering structures among symptoms, the Gaussian graphical model and Exploratory Graph Analysis with the tuning parameter to minimize the extended Bayesian information criterion were adopted. ResultsExploratory Graph Analysis revealed that symptoms of depression comprised four clusters: impaired activity, somatic concerns, subjective mood, and observed affect. The main effect of visit with decreased symptom severity was significant in all four clusters; however, the degree of symptom improvement differed among the four clusters. The effect size of score differences from V1 to V6 was the highest in the subjective mood (Cohen's d = 1.075), and lowest in impaired activity (d = 0.501) clusters. ConclusionThe present study identified four symptom clusters associated with adolescent depression and their differential changes related to antidepressant treatment. This finding suggests that escitalopram was the most effective at improving subjective mood among different clusters. However, other therapeutic modalities may be needed to improve other clusters of symptoms, consequently leading to increased overall improvement of depression in adolescents.

Dr. Joseph Biederman’s Enduring Legacy: Illuminating the Path to Addressing Autistic Traits in Attention Deficit Hyperactivity Disorder With Transcranial Photobiomodulation

Objective: To review the existing literature on transcranial photobiomodulation (tPBM) treatment effects on Autism Spectrum Disorder (ASD), in search for an effective treatment of a symptom cluster identified largely by contributions from late Dr. Biederman who asserted that they frequently present with Attention Deficit Hyperactivity Disorder (ADHD). Method: A survey of two databases, PubMed and PsycINFO, for clinical trials reporting on tPBM treatment in ASD was performed. Identified manuscripts that met eligibility criteria were then reviewed. Results: Three original manuscripts reporting findings on a heterogenous group of study methods met the eligibility criteria. Despite the heterogenous nature of study designs, findings from all three studies reported tPBM treatment to be associated with improvements in ASD symptoms. No serious or treatment limiting adverse events were reported. Conclusions: A nascent body of research suggests further clinical studies investigating efficacy of tPBM in treatment of ASD symptoms should be supported.

Similarities and Differences Between Study Addiction and Study Engagement and Work Addiction and Work Engagement: A Network Analysis

AbstractThis study aimed to investigate the relationships between symptoms of study addiction and their relationships with dimensions of study engagement. We used two samples in which study addiction was measured with the Bergen Study Addiction Scale and study engagement was measured with the Utrecht Work Engagement Scale for Students. The samples comprised Norwegian (n = 1107) and Polish (n = 776) students. The networks featured three clusters of nodes (two clusters of the study addiction symptoms and one cluster of the study engagement dimensions). Study addiction clusters were connected with study engagement cluster through positive edges between absorption and study addiction symptoms, negative edges which vigor shared with conflict and problems, and negative edge between dedication and mood modification. Among the symptoms of study addiction, problems, conflict, and withdrawal were the most central and salience, tolerance, and mood modification were the least central. Moreover, conflict was the most predictable and relapse was the least predictable symptom of study addiction. The results from the present study are similar to those of previous studies on work addiction and support the notion that study addiction may be a precursor to work addiction. Although based on cross-sectional data, the nuanced differences between work addiction and study addiction networks are discussed as they lay a foundation for further investigation of the potential differences in transition mechanisms from healthy engagement to compulsive behavior.

Core and bridge symptoms of demoralization in Chinese female cancer patients: a network analysis.

In this study, we explore the core and bridge symptoms of demoralization in female cancer patients in China, and provide a basis for precise psychological intervention among female cancer patients. This study used a cross-sectional survey. Participants were recruited from three third-class hospitals in Jiangsu Province from June 2022 to June 2023 using the convenience sampling method. The severity of each symptom of demoralization was investigated in female cancer patients using the Demoralization Scale (DS). Network analysis was performed using the R language to identify core and bridge symptoms in the network and further explore some characteristic edge connections in the network. The network structure model of demoralization had strong accuracy and stability. In the network, the symptoms with the highest strength centrality were "Discouragement" (C3, strength=2.19), "No self-worth" (A3, strength=1.21), "Don't want to live" (A5, strength=1.20), "Hopeless" (D4, strength=0.81), and "Vulnerability" (B3, strength=0.74), respectively. The bridge strength analysis identified "Hopeless" (D4, bridge strength=0.92), "Discouragement" (C3, bridge strength=0.85), "No self-worth" (A3, bridge strength=0.75), "Poor spirits" (E2, bridge strength=0.71), and "Vulnerability" (B3, bridge strength=0.69) as the bridge symptoms. The strongest edge connections of all dimensions were "No self-worth" and "Worthless" (A3-E6, edge weighting=0.27), "Poor spirits" and "Loss of emotional control" (E2-D1, edge weighting=0.22), "Discouragement" and "Vulnerability" (C3-B3, edge weighting=0.14), and "Hopeless" and "No meaning of survival" (D4-A4, edge weighting=0.12). "Discouragement (C3)", "No self-worth (A3)", "Hopeless (D4)", and "Vulnerability (B3)" are both core symptoms and bridge symptoms. These symptoms can not only trigger a patient's demoralization but also stimulate more severe symptom clusters through interactions. The early recognition of and intervention regarding these symptoms could be important for the prevention and treatment of demoralization among female cancer patients.

Hair cortisol and self-perceived stress in adolescents with multi-system functional somatic disorders

BackgroundLong-term stress causing altered hypothalamic–pituitary–adrenal (HPA) axis dynamics with cortisol dysfunction may be involved in the pathophysiology of functional somatic disorders (FSD), but studies on adolescents with multi-system FSD are lacking. Therefore, we investigated: 1) whether hair cortisol concentration (HCC) differentiates adolescents with multi-system FSD from a) a population-based sample and b) a subgroup derived from the sample reporting a high physical symptom load, and 2) whether FSD population HCC is associated with primary symptom presentations and self-perceived stress.MethodsWe used data from a clinical sample with multi-system FSD (N = 91, age 15–19 years) and a population-based sample (N = 1,450, age 16–17 years) including a subgroup with top 10% total scores on physical symptoms (N = 147). Density plots and multiple linear regression were applied to compare HCC between groups. In the clinical sample, multiple linear regression was employed to assess the association between HCC and primary symptom clusters and self-perceived stress.ResultsMedian HCC was lower in the clinical sample than in the population-based sample (β = 0.80 (95%CI: 0.66, 0.97)), but not significantly different from median HCC in the derived subgroup (β = 0.84 (95%CI: 0.66, 1.07)). In the clinical sample, HCC was not significantly associated with primary symptom clusters (F(2, 82) = 0.13, p = 0.88) or self-perceived stress (F(4, 83) = 1.18, p = 0.33).ConclusionOur findings indicate that HCC is lowered in adolescents with multi-system FSD but not significantly associated with primary symptom presentations or self-perceived stress. Future studies including multiple measures of HPA axis dynamics alongside psychological measures may further elucidate the role of long-term stress in FSD.Trial registrationThe AHEAD study was pre-registered at ClinicalTrials.gov (NCT02346071), 26/01/2015

An investigation of laboratory-based positive and negative emotional suppression in relation to posttraumatic stress disorder symptom clusters.

Emotional suppression is a clinically significant aspect of emotion regulation with robust associations to psychopathology, including posttraumatic stress disorder (PTSD). Despite the fast-growing body of literature highlighting the role of positive emotion regulation difficulties in the development and maintenance of PTSD, extant work on emotional suppression and PTSD has almost exclusively focused on the role of negative emotions. The present study aimed to advance this literature by examining the associations between PTSD symptom clusters and participants' use of state emotional suppression during a laboratory task designed to elicit negative or positive emotions. Participants were 108 community women (Mage = 39.55; 33% Black/African American) currently experiencing intimate partner violence (IPV) by a male partner and using substances. Participants were interviewed using a structured diagnostic assessment for PTSD and reported on state emotional intensity and emotional suppression following idiographic negative or positive emotion inductions. Results of the moderation analyses showed that, when controlling for state emotional intensity, women experiencing clinical levels of PTSD symptom Clusters B (intrusive recollections), D (negative alterations in cognitions and mood), and E (alterations in arousal and reactivity) were significantly more likely to utilize emotional suppression, but only in the context of positive-not negative-emotions. Findings provide evidence for a link between PTSD and positive emotional suppression among women currently experiencing IPV by a male partner and using substances, highlighting positive emotional suppression as a potential target in PTSD treatment for IPV populations with comorbid substance use concerns. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Symptom Cluster (sleep, fatigue, anxiety, and depression) and Cognitive Functioning in Hematologic Malignancy Patients Treated with Blood or Marrow Transplant (BMT)

Symptom Cluster (sleep, fatigue, anxiety, and depression) and Cognitive Functioning in Hematologic Malignancy Patients Treated with Blood or Marrow Transplant (BMT)

Associations Between Child Maltreatment Types and Pre- and Post-Partum Posttraumatic Stress Disorder Symptoms: A Brief Report

Objective: To foster resilience through reducing posttraumatic stress disorder (PTSD) symptoms in pregnant mothers with child maltreatment (CM) histories, it is important to understand factors impacting their well-being. This study explored whether CM predicted the severity of PTSD symptoms and symptom clusters during pregnancy and change in symptoms from pregnancy (Time 1; T1) to 3 months postpartum (Time 2; T2).
 Methods: 88 pregnant women (aged 18 to 29) completed surveys on CM exposure, adult interpersonal trauma experiences, and PTSD symptoms at T1; 58 participated at T2.
 Results: Stepwise regressions were conducted with the covariates age, family status, and adult interpersonal traumas. When accounting for all CM types, only neglect remained associated with overall PTSD symptoms (Ft1(1, 71) = 28.93, p < .001) and for each of the PTSD symptom clusters (ps < .01). Physical abuse remained associated with the alterations in cognition and mood cluster. No CM types were associated with changes in PTSD symptoms from T1 to T2.
 Implications: In future research, the implications of neglect for pregnant mothers should be explored in depth. Perinatal care should be trauma-informed, including assessing for CM histories, to foster greater resilience by reducing perinatal PTSD symptoms.

Cluster analysis of long COVID in Japan and association of its trajectory of symptoms and quality of life

BackgroundMultiple prolonged symptoms observed in patients who recovered from COVID-19 are defined as long COVID. Although diverse phenotypic combinations are possible, they remain unclear. This study aimed to perform a...

Evidence-Based and Person-Centered Symptom Cluster Management in Cancer Care: The Value of Symptom Theory.

Evidence-Based and Person-Centered Symptom Cluster Management in Cancer Care: The Value of Symptom Theory.

Multi-modal intervention for managing symptom cluster of cancer-related fatigue-sleeping problem-depressed mood in breast cancer patients undergoing chemotherapy: A pilot randomized controlled trial

Multi-modal intervention for managing symptom cluster of cancer-related fatigue-sleeping problem-depressed mood in breast cancer patients undergoing chemotherapy: A pilot randomized controlled trial

Validation of Distinct Bladder Pain Phenotypes Utilizing the MAPP Research Network Cohort

Introduction and HypothesisAs interstitial cystitis/bladder pain syndrome (IC/BPS) likely represents multiple pathophysiologies, we sought to validate three clinical phenotypes of IC/BPS patients in a large, multi-center cohort using unsupervised machine learning (ML) analysis.MethodsUsing the female Genitourinary Pain Index and O’Leary-Sant Indices, k-means unsupervised clustering was utilized to define symptomatic phenotypes in 130 premenopausal IC/BPS participants recruited through the Multidisciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) research network. Patient-reported symptoms were directly compared between MAPP ML-derived phenotypic clusters to previously defined phenotypes from a single center (SC) cohort.ResultsUnsupervised ML categorized IC/BPS participants into three phenotypes with distinct pain and urinary symptom patterns: myofascial pain, non-urologic pelvic pain, and bladder-specific pain. Defining characteristics included presence of myofascial pain or trigger points on examination for myofascial pain patients (p = 0.003) and bladder pain/burning for bladder-specific pain patients (p < 0.001). The three phenotypes were derived using only 11 features (fGUPI subscales and ICSI/ICPI items), in contrast to 49 items required previously. Despite substantial reduction in classification features, unsupervised ML independently generated similar symptomatic clusters in the MAPP cohort with equivalent symptomatic patterns and physical examination findings as the SC cohort.ConclusionsThe reproducible identification of IC/BPS phenotypes, distinguishing bladder-specific pain from myofascial and genital pain, using independent ML analysis of a multicenter database suggests these phenotypes reflect true pathophysiologic differences in IC/BPS patients.

Probabilities of Isolated and Co-Occurring Vestibular Disorder Symptom Clusters Identified Using the Dizziness Symptom Profile.

Dizziness is among the most common reasons people seek medical care. There are data indicating patients with dizziness, unsteadiness, or vertigo may have multiple underlying vestibular disorders simultaneously contributing to the overall symptoms. Greater awareness of the probability that a patient will present with symptoms of co-occurring vestibular disorders has the potential to improve assessment and management, which could reduce healthcare costs and improve patient quality of life. The purpose of the current investigation was to determine the probabilities that a patient presenting to a clinic for vestibular function testing has symptoms of an isolated vestibular disorder or co-occurring vestibular disorders. All patients who are seen for vestibular function testing in our center complete the dizziness symptom profile, a validated self-report measure, before evaluation with the clinician. For this retrospective study, patient scores on the dizziness symptom profile, patient age, and patient gender were extracted from the medical record. The dizziness symptom profile includes symptom clusters specific to six disorders that cause vestibular symptoms, specifically: benign paroxysmal positional vertigo, vestibular migraine, vestibular neuritis, superior canal dehiscence, Meniere disease, and persistent postural perceptual dizziness. For the present study, data were collected from 617 participants (mean age = 56 years, 376 women, and 241 men) presenting with complaints of vertigo, dizziness, or imbalance. Patients were evaluated in a tertiary care dizziness specialty clinic from October 2020 to October 2021. Self-report data were analyzed using a Bayesian framework to determine the probabilities of reporting symptom clusters specific to an isolated disorder and co-occurring vestibular disorders. There was a 42% probability of a participant reporting symptoms that were not consistent with any of the six vestibular disorders represented in the dizziness symptom profile. Participants were nearly as likely to report symptom clusters of co-occurring disorders (28%) as they were to report symptom clusters of an isolated disorder (30%). When in isolation, participants were most likely to report symptom clusters consistent with benign paroxysmal positional vertigo and vestibular migraine, with estimated probabilities of 12% and 10%, respectively. The combination of co-occurring disorders with the highest probability was benign paroxysmal positional vertigo + vestibular migraine (~5%). Probabilities decreased as number of symptom clusters on the dizziness symptom profile increased. The probability of endorsing vestibular migraine increased with the number of symptom clusters reported. Many patients reported symptoms of more than one vestibular disorder, suggesting their symptoms were not sufficiently captured by the symptom clusters used to summarize any single vestibular disorder covered by the dizziness symptom profile. Our results indicate that probability of symptom clusters indicated by the dizziness symptom profile is comparable to prior published work on the prevalence of vestibular disorders. These findings support use of this tool by clinicians to assist with identification of symptom clusters consistent with isolated and co-occurring vestibular disorders.

The Relationship Between Knowledge and Family Motivation Toward Adherence to Taking Medication for Mental Illness Patients in the Ajibarang Hospital Working Area

Mental disorders are often perceived as problems that do not directly cause death but havelong-term effects on physical health, leading to an individual's inability to self-care, the risk of suicide, and the riskof self-harm or harm to others. Mental disorders manifest as disturbances in thought, behavior, and feelings,characterized by a cluster of meaningful symptoms and behavioral changes that can cause suffering and impairan individual's ability to function socially and economically. To determine whether there is a correlationbetween family knowledge and motivation with medication adherence in patients with mental disorders at RSUD(Regional Public Hospital) Ajibarang. This study employed a quantitative method with a cross-sectionaldesign. The sampling technique used accidental sampling with a sample size of 53 respondents who met the inclusion and exclusion criteria. This study's results show a correlation between family knowledge andmedication adherence in patients with mental disorders, with a p-value of 0.000 (p0.05). There is also acorrelation between family motivation and medication adherence in patients with mental disorders, with a p-valueof 0.000 (p0.05). Conclusion: There is a correlation between family knowledge and motivation with medicationadherence in patients with mental disorders in the service area of RSUD Ajibarang.

Relationship of self-reported pica and avoidant restrictive food intake disorder symptomology with dimensions of impulsivity, perceived stress among Pakistani University students.

Pica and avoidant/restrictive food intake disorder are two of the three new eating and feeding disorders introduced in the DSM-5, this inclusion has drawn attention to the immediate need for research into their prevalence, diagnostic assessment, underlying risk factors and optimal treatment. There are very few studies available that explored the predictors or causes of these eating disorders specifically in Pakistani context. The objectives of the current study include (a) to estimate the presence of pica and avoidant/restrictive food intake disorder symptomology among young adults in Pakistan, (b) to examine the relationship between dimensions of impulsivity, stress and presence of pica and avoidant/restrictive food intake disorder, (c) to explore the mediation role of stress. The sample consisted of 660 young adults with age range 18-25years, recruited through convenient sampling. The respondents were provided with a questionnaire comprising of an informed consent, a demographic information sheet and self-report measures including PARDI-AR-Q to assess symptomology of pica and avoidant/restrictive food intake disorder, UPPS-P Impulsive Behaviour Scale to assess dimensions of impulsivity and Perceived Stress Scale to measure perceived stress. The findings show that 28 participants (4.2%) reported Pica symptomology, of which eleven participants indicated that they currently consume more than one non-food item. 19 respondents (2.8%) reported avoidant/restrictive food intake disorder symptomology. 13 respondents reported varying degrees of all three symptom clusters namely sensory based food avoidance, lack of interest in food, and fear of negative consequences of eating. Additionally, each of the dimensions of impulsivity was found to be positively correlated to the presence of pica and avoidant/restrictive food intake disorder. Perceived stress was identified as a mediating factor between each of the dimensions of impulsivity and presence of pica and avoidant/restrictive food intake disorder. Although current study focused on a particular age range, it has drawn attention to the necessity of screening and investigating other strata of Pakistani population for pica and avoidant/restrictive food intake disorder. The clinical utility of the present research resided in the identification of factors associated with pica and avoidant/restrictive food intake disorder, an information which can be used to tailor psychological interventions, modify existing ones, and inform the future research on evidence-based treatment.

Identifying central symptom clusters and correlates in patients with lung cancer post-chemotherapy: A network analysis

ObjectiveThis study aims to investigate the network structures of symptoms and symptom clusters in patients with lung cancer post-chemotherapy, with a focus on identifying the central symptom cluster. Understanding the central cluster is crucial for targeted and effective symptom management. MethodsSymptom occurrence and severity were assessed using the Memorial Symptom Assessment Scale (MSAS). Principal component analysis (PCA) was employed to explore symptom clusters, while network analysis unveiled the network structure and pinpointed the central symptom cluster. ResultsThe study included 512 patients with lung cancer. Four distinct symptom clusters emerged: sickness behavior, psychological, lung cancer-specific, and epithelial. The sickness behavior symptom cluster was identified as the central symptom cluster. ConclusionsThis research designates the sickness behavior symptom cluster as central in post-chemotherapy patients with lung cancer, offering valuable insights for clinical nurses in devising more effective symptom management strategies. Trial registrationChiCTR2300070944 (Chinese Clinical Trial Register).

Neurobehavioural rehabilitation of dysexecutive syndrome following traumatic brain injury - a narrative review of management

Background: &#x0D; Traumatic brain injury (TBI) leads to &gt;200,000 hospital admissions in the UK annually. Frontal lobes are frequently affected, leading to a sequela of symptoms affecting behaviour, emotions, and cognition; a cluster of symptoms referred to as dysexecutive syndrome (also known as frontal lobe syndrome). People who survive this, experience long-term sequelae and require long-term support through neurological rehabilitation. The UK has robust guidelines on the medical/physical aspects of rehabilitation following brain injury. However, these guidelines mention little information on the management of neurobehavioural problems following TBI. The aim of this review is to determine what the evidence-based neurobehavioural management of patients with dysexecutive syndrome following TBI is in the UK.&#x0D; &#x0D; Methods: &#x0D; A systematic review of articles using MEDLINE, EMBASE (1974 – present) and Web of Science was conducted. Search terms included frontal lobe syndrome, dysexecutive syndrome, traumatic brain injury, neurorehabilitation, neurological rehabilitation, neurological management, behaviour therapy and behavioural management. Additional references were sourced from the search results and author NH, a medical director within a hospital catering to people with brain injury.&#x0D; &#x0D; Results: &#x0D; 168 results were obtained. 21 articles remained following exclusions: 19 original articles and 2 reviews. Interventions mentioned included: behavioural psychotherapy, memory training, feedback, awareness interventions, goal management training, social skills training, work placements, problem solving training, metacognitive skills, token economy and response cost. Interventions were utilised using a person-centred approach, however, generally there was a lack of consensus as the most effective one. Only 2 studies considered the long-term outcomes of rehabilitation.&#x0D; &#x0D; Discussion:&#x0D; Successful rehabilitation of dysexecutive syndrome post-TBI involves using a person-centred approach, to determine which intervention will target the problem of concern to the patient. Few papers address behavioural rehabilitation of dysexecutive syndrome post-TBI. Further research is required to determine the most effective and beneficial interventions for patients in both the short- and long-term.