Neurofilament light chain as a promising biomarker for depression diagnosis: a systematic review and meta-analysis.

BACKGROUND: Depression is a prevalent and serious mental health disorder that significantly impacts daily life and functioning. Neurofilament Light chain (NfL), associated with axonal neuronal damage, has been identified as a promising biomarker, potentially aiding in early diagnosis of depression, personalized treatment, and tracking disease progression. This study used meta-analysis to evaluate the potential of plasma NfL as a biomarker for depression patients. METHODS: A systematic search following the PRISMA guidelines was conducted across PubMed, Web of Science, Scopus, and Google Scholar databases to find relevant studies on plasma NfL levels in patients with depression. A random effects model meta-analysis was applied to determine its potential as a biomarker for differentiating patients from controls. RESULTS: Our meta-analysis, based on four articles with six datasets, revealed that plasma NfL levels were notably higher in individuals with depression (228 cases) compared to healthy controls (118 individuals). The weighted mean difference (WMD) was 8.78 (95% CI: 5.28, 12.28; P < 0.01), indicating a significant effect size. Given the diverse confounding factors inherent in the included observational studies, the observed variability can be attributed to these influences. Due to the observed heterogeneity (heterogeneity Chi-Square: 54.91, p < 0.05), we performed a subgroup analysis. Subgroup analyses based on depression type and analysis method consistently supported the association between NfL and depression, strengthening the evidence. CONCLUSION: Our meta-analysis demonstrates that elevated NfL levels may serve as a promising biomarker for diagnosing depressive disorders. Further research on diverse subtypes and longitudinal changes is needed to validate its clinical utility.

Evaluation of low vagally-mediated heart rate variability as an early marker of depression risk.

BACKGROUND: Both low vagally-mediated heart rate variability (HRV) and depression have been shown to be risk factors for cardiovascular disease (CVD). We recently identified an HRV cutpoint below which persons have an increased risk for several cardiometabolic disorders. However, no cutpoint exists to identify those at risk for depression. METHODS: The association between daytime HRV and diagnostically validated depression cutoffs using the five-item World Health Organization Well-being Index (WHO-5) was examined in adults from the Mannheim Industrial Cohort Study (n = 9973; Mage = 41.9[10.9]; 20 % women [n = 1934]). The aim was to identify HRV cutpoints for individuals who may have clinical depression. RESULTS: Regression adjusting for age, sex, and linear trend showed a significant quadratic association between depression, indexed by WHO-5 scores and HRV, indexed by the root mean square successive differences (RMSSD) in milliseconds (ms) (p < 0.001). Logistic regression models adjusting for age, sex, and heart period (i.e., inter-beat intervals) compared the clinically depressed (WHO-5 ≤ 28) and those with a screening diagnosis of depression (WHO-5 ≤ 50) to the rest of the population. Significant odds ratios suggested two RMSSD values 25 ± 2 ms (OR = 1.39 [1.17, 1.64]) and 35 ± 2 ms (OR = 1.17 [1.02, 1.34]) that may be used to identify those with an elevated risk for depression. LIMITATIONS: The sample was primarily German men. Fitness and anti-depressant use were not available. CONCLUSIONS: As HRV is a brief measure that can be used in clinical settings, our HRV cutpoints have implications for the early detection of those at risk for psychological and cardiometabolic disorders.

Depression Part 2: Treatment.

Depression treatment strategies are within the scope of pediatric practice and among the competencies recommended by the Academy of Pediatrics and The American Board of Pediatrics. Treatments that may be provided through collaborative care include nonpharmacologic therapies such as psychosocial treatments and evidence-based psychotherapies, and pharmacotherapy and monitoring processes for depression. Abundant support and guidance are available to pediatricians in depression care, including mental health consultation and online materials.

Validation of the Danish Version of the Overall Depression Severity and Impairment Scale (ODSIS): A Reliable Instrument for Assessing Depression Symptoms and Functional Impairment.

INTRODUCTION: In psychotherapy, having a reliable tracking tool is vital for effective treatment. We have validated the Danish version of the 'Overall Depression Severity and Impairment Scale' (ODSIS), which is used in the Unified Protocol for Emotional Disorders (UP) and other cognitive behavioural therapies. This five-item self-rating scale is expected to correspond closely to the gold-standard Beck Depression Inventory-II (BDI-II), but also to self-rating scales addressing daily functioning and well-being. METHODS: Internal consistency is assessed using Cronbach's alpha and McDonald's omega. Criterion validity is explored through Pearson's correlation coefficient with BDI-II, the Work and Social Adjustment Scale (WSAS), the Five-Item World Health Organization Well-Being Index (WHO-5) and scatter plots, and an optimal cut-off score is determined using a receiver operating characteristic curve. The study included 340 respondents: 234 from a recent clinical trial, 56 psychiatric patients from inpatient/outpatient units and 50 healthy volunteers. RESULTS: ODSIS demonstrates strong internal consistency (Cronbach's alpha: 0.887-0.956, McDonald's omega: 0.888-0.957). Correlations with BDI-II, WSAS and WHO-5 highlight its strong criterion validity (BDI-II: 0.847, WSAS: 0.751, WHO-5: 0.771). The optimal cut-off score (> 7.5) for detecting depression shows great sensitivity (0.862) and specificity (0.731). CONCLUSION: The Danish version of ODSIS proves to be a reliable instrument for quantification of a combination of depression level and functional impairment from the symptoms. Its high correlation with established BDI-II makes it a brief and handy tool for repeated measurement in clinical and research settings.

Emotional State Evaluation of Retinitis Pigmentosa Patients with the Beck Depression Inventory.

Objectives: To evaluate the incidence and severity of depression in patients with retinitis pigmentosa (RP). Materials and Methods: The Beck Depression Inventory (BDI) was administered to 74 patients with RP and 60 healthy controls. Biomicroscopic anterior segment and fundus examination, visual field, optical coherence tomography, and full-field electroretinography tests were performed in all cases. Variables were evaluated with bivariate, multiple linear, and ordinal logistic regression analyses. Results: The RP group included 40 (54%) male and 34 (46%) female patients, while the control group included 23 (38%) male and 37 (62%) female subjects. The patient group had a mean age of 39.20±12.4 years, median best corrected visual acuity (BCVA) of 0.10 decimal (1.0 logarithm of the minimum angle of resolution [logMAR]; range, 1.3-0.7 logMAR), and median visual field mean deviation (MD) score of -28.00 decibels (dB) (range, -1.00 to -34.00 dB). The median BDI score was statistically significantly higher in the patient group (19 points) than in the control group (12 points) (p<0.001). Moderate to severe depression (BDI ≥20) was detected in 61% of patients, while this rate was 25% in healthy controls. BCVA and visual field MD values were identified as predictors of depression score and severity level. The patients' age and gender did not affect total depression score or severity. Conclusion: The prevalence and severity of depression were found to be higher in RP patients than in healthy controls. There was a significant relationship between the patient's functional vision tests and the frequency and severity of depression. Depression reduces the reliability of visual function tests and impairs patients' quality of life. Therefore, assessing mental health as well as functional tests is important in patients with RP.

Depressive Disorders in Children and Adolescents: Evaluation and Management.

Depressive disorders among children and adolescents impact the practice of many providers, in many specialties. These disorders contribute to illness and disability throughout the world, and they are a significant risk factor for suicide. Depression in these age groups can differ from those in adults, and early recognition along with proper treatment can lead to improved outcomes. It is important for clinicians to differentiate depression from other possible diagnoses such as anxiety disorders, attention deficit hyperactivity disorder (ADHD), and other mood disorders. Once the diagnosis of depression is established, the severity should be assessed to determine the most appropriate level of treatment. Outpatient treatment often starts with therapy, and if medications are indicated, the use of selectiveserotonin reuptake inhibitors (SSRIs) tend to be first-line.

Consequence of child and adolescent depressive symptom trajectories for adult depressive disorders and symptoms: A systematic review & meta-analysis.

BACKGROUND: Group differences in longitudinal patterns of child and adolescent depressive symptoms are commonly observed. However, the implications for adult mental health are unclear. This study presents a systematic review of child and adolescent depressive symptom trajectory research and meta-analysis of their longitudinal effects on adult depressive symptoms and disorders. METHODS: A systematic search identified 12 longitudinal studies (12 cohorts, N = 35,058) that were harmonized to identify common symptom trajectories prior to age 18 years. Examination of follow-up in the same groups was made (at average age 20.5 years) to estimate longitudinal associations with adult depressive symptoms (Sx) and disorders (Dx), using random effects meta-analyses. RESULTS: The included studies identified Low (70.3 %), Moderate (17.9 %), High (9.5 %), Increasing (9.5 %) and Decreasing (5.1 %) symptom trajectories. These trajectories were found to predict variation in symptoms and disorders in adulthood: Low, Dx = 4.5 %, 95 % Confidence Interval [CI] 2.7-6.8 %, Sx [Mean] = 8.33, Standard Deviation [SD] = 6.30; Moderate, Dx = 20.9 %, CI 11.9-31.5 % - Sx = 18.13, SD = 3.38; High, Dx = 34.4 % CI 17.2-54.0 % - Sx = 38.80, SD = 7.75; Increasing, Dx = 38.3 %, CI 12.7-67.5 % - Sx = 24.73, SD = 18.64; Decreasing, Dx = 15.4 %, CI 10.5-20.9 % - Sx = 17.00, SD = 12.18. LIMITATIONS: Confidence intervals are wide for some trajectory effects. There was significant between-cohort heterogeneity in predictive effects for High trajectories, suggesting the need for further research to identify characteristics influencing variation. CONCLUSION: Low symptom trajectories forecast lower adult depression symptoms and disorders. Programs effectively targeting reductions in Moderate, High, Increasing and Decreasing trajectories will likely prevent problems in early adulthood.

Testing the distinctiveness of prolonged grief disorder from posttraumatic stress disorder and depression in large bereaved community samples.

BACKGROUND: This study sought to test the distinctiveness of symptoms of prolonged grief disorder (PGD) from posttraumatic stress disorder (PTSD) and depression. METHODS: Confirmatory factor analysis (CFA) and target exploratory factor analysis (EFA), were used to test the distinctiveness of PGD from PTSD and depression symptoms in a large sample of adults bereaved for at least six months (N = 1917). Identified factors were explored in relation to demographic (i.e., age, gender) and loss-related (i.e., time since bereavement, nature of death, relationship to deceased, age of deceased, and frequency of contact with deceased) correlates. RESULTS: The CFA model provided a good fit to the data, while the target EFA provided a slightly improved fit. All items loading strongly and significantly onto their respectively factors, and the IGQ items had few significant cross-factor loadings. All demographic and loss-related variables (except for death of a sibling and death from other causes) were associated with each of the factors, however, these associations were strongest for the PGD factor. LIMITATIONS: Participants were recruited using a non-probability sampling method and were from a relatively affluent Western nation. CONCLUSION: Findings from the current study demonstrate that PGD reflects an empirically distinguishable albeit related disorder to PTSD and depression in a sample of bereaved adults. The identification of correlates common to PGD, PTSD, and depression, as well as those unique to PGD, affords a comprehensive understanding of the risk factors associated with bereavement-related psychopathology.

Psychometric properties of the ultra-brief self-report Patient Health Questionnaire-4 (PHQ-4) to assess anxiety and depression in Arabic-speaking adults.

BACKGROUND: Anxiety and depression are psychiatric disorders that often coexist and share some features. Developing a simple and cost-effective tool to assess anxiety and depression in the Arabic-speaking population, predominantly residing in low- and middle-income nations where research can be arduous, would be immensely beneficial. The study aimed to translate the four-item composite Patient Health Questionnaire - 4 (PHQ-4) into Arabic and evaluate its psychometric properties, including internal reliability, sex invariance, composite reliability, and correlation with measures of psychological distress. METHODS: 587 Arabic-speaking adults were recruited between February and March 2023. An anonymous self-administered Google Forms link was distributed via social media networks. We utilized the FACTOR software to explore the factor structure of the Arabic PHQ-4. RESULTS: Confirmatory factor analysis (CFA) indicated that fit of the two-factor model of the PHQ-4 scores was modest (χ2/df = .13/1 = .13, RMSEA = .001, SRMR = .002, CFI = 1.005, TLI = 1.000). Internal reliability was excellent (McDonald's omega = .86; Cronbach's alpha = .86). Indices suggested that configural, metric, and scalar invariance were supported across sex. No significant difference was found between males and females in terms of the PHQ-4 total scores, PHQ-4 anxiety scores, and PHQ-4 depression scores. The total score of the PHQ-4 and its depression and anxiety scores were significantly and moderately-to-strongly associated with lower wellbeing and higher Depression Anxiety and Stress Scale (DASS) total and subscales scores. CONCLUSION: The PHQ-4 proves to be a reliable, valid, and cost-effective tool for assessing symptoms related to depression and anxiety. To evaluate the practical effectiveness of the Arabic PHQ-4 and to further enhance the data on its construct validity, future studies should assess the measure in diverse contexts and among specific populations.

Psychometric validation of the Montgomery-åsberg Depression Rating Scale - Youth (MADRS-Y) in a clinical sample.

BACKGROUND: Depression in adolescence is a serious major global health problem with increasing rates of prevalence. Measures of depression that are valid for young people are clearly needed in clinical contexts. METHODS: The study included 577 patients from child and adolescent psychiatry (n = 471) and primary care (n = 106) aged 12-22 years in Sweden (Mage=16.7 years; 76% female). The reliability and validity for Montgomery-Åsberg Depression Rating Scale - Youth (MADRS-Y) were investigated. To confirm the latent structure, we used a single-factor confirmatory factor analysis (CFA). A Kruskal-Wallis test was performed to test total score differences between diagnostic groups. Using Spearman's rho correlations, we examine whether single items in the MADRS-Y correlate with suicidal ideation measured by The Suicidal Ideation Questionnaire-JR (SIQ-JR). RESULTS: The internal consistency using McDonald's coefficient omega was excellent. The CFA of the 12-item MADRS-Y supported a one factor structure. Evidence of convergent and discriminant validity was shown. There was a significant difference in MADRS-Y scores across diagnostic groups, with higher results for depressive disorders. A strong correlation with suicidal ideation was found for two items. CONCLUSIONS: The results support MADRS-Y as a brief, reliable, and valid self-report questionnaire of depressive symptoms for young patients in a clinical setting.

Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review.

OBJECTIVES: This study underscores the importance of exploring AI's creative applications in treating depressive disorders to revolutionize mental health care. Through innovative integration of AI technologies, the research confirms their positive effects on preventing, diagnosing, and treating depression. The systematic review establishes an evidence base for AI in depression management, offering directions for effective interventions. METHODS: This systematic literature review investigates the effectiveness of AI in depression management by analyzing studies from January 1, 2017, to May 31, 2022. Utilizing search engines like IEEE Xplore, PubMed, and Web of Science, the review focused on keywords such as Depression/Mental Health, Machine Learning/Artificial Intelligence, and Prediction/Diagnosis. The analysis of 95 documents involved classification based on use, data type, and algorithm type. RESULTS: The study revealed that AI in depression management excelled in accuracy, particularly in monitoring and prediction. Biomarker-derived data demonstrated the highest accuracy, with the CNN algorithm proving most effective. The findings affirm the therapeutic benefits of AI, including treatment, detection, and disease prediction, highlighting its potential in analyzing monitored data for depression management. LIMITATIONS: This study exclusively examined the application of AI in individuals with depressive disorders. Interpretation should be cautious due to the limited scope of subjects to this specific population. CONCLUSIONS: To introduce digital healthcare and therapies for ongoing depression management, it's crucial to present empirical evidence on the medical fee payment system, safety, and efficacy. These findings support enhanced medical accessibility through digital healthcare, offering personalized disease management for patients seeking non-face-to-face treatment.

The efficacy of automated feedback after internet-based depression screening (DISCOVER): an observer-masked, three-armed, randomised controlled trial in Germany.

BACKGROUND: Despite the availability of effective treatments, most depressive disorders remain undetected and untreated. Internet-based depression screening combined with automated feedback of screening results could reach people with depression and lead to evidence-based care. We aimed to test the efficacy of two versions of automated feedback after internet-based screening on depression severity compared with no feedback. METHODS: DISCOVER was an observer-masked, three-armed, randomised controlled trial in Germany. We recruited individuals (aged ≥18 years) who were undiagnosed with depression and screened positive for depression on an internet-based self-report depression rating scale (Patient Health Questionnaire-9 [PHQ-9] ≥10 points). Participants were randomly assigned 1:1:1 to automatically receive no feedback, non-tailored feedback, or tailored feedback on the depression screening result. Randomisation was stratified by depression severity (moderate: PHQ-9 score 10-14 points; severe: PHQ-9 score ≥15 points). Participants could not be masked but were kept unaware of trial hypotheses to minimise expectancy bias. The non-tailored feedback included the depression screening result, a recommendation to seek professional diagnostic advice, and brief general information about depression and its treatment. The tailored feedback included the same basic information but individually framed according to the participants' symptom profiles, treatment preferences, causal symptom attributions, health insurance, and local residence. Research staff were masked to group allocation and outcome assessment as these were done using online questionnaires. The primary outcome was change in depression severity, defined as change in PHQ-9 score 6 months after random assignment. Analyses were conducted following the intention-to-treat principle for participants with at least one follow-up visit. This trial was registered at ClinicalTrials.gov, NCT04633096. FINDINGS: Between Jan 12, 2021, and Jan 31, 2022, 4878 individuals completed the internet-based screening. Of these, 1178 (24%) screened positive for depression (mean age 37·1 [SD 14·2] years; 824 [70%] woman, 344 [29%] men, and 10 [1%] other gender identity). 6 months after random assignment, depression severity decreased by 3·4 PHQ-9 points in the no feedback group (95% CI 2·9-4·0; within-group d 0·67; 325 participants), by 3·5 points in the non-tailored feedback group (3·0-4·0; within-group d 0·74; 319 participants), and by 3·7 points in the tailored feedback group (3·2-4·3; within-group d 0·71; 321 participants), with no significant differences among the three groups (p=0·72). The number of participants seeking help for depression or initiating psychotherapy or antidepressant treatment did not differ among study groups. The results remained consistent when adjusted for fulfilling the DSM-5-based criteria for major depressive disorder or subjective belief of having a depressive disorder. Negative effects were reported by less than 1% of the total sample 6 months after random assignment. INTERPRETATION: Automated feedback following internet-based depression screening did not reduce depression severity or prompt sufficient depression care in individuals previously undiagnosed with but affected by depression. FUNDING: German Research Foundation.

Mood instability in patients with unipolar depression measured using smartphones and the association with measures of wellbeing, recovery and functioning.

OBJECTIVE: While mood instability is strongly linked to depression, its ramifications remain unexplored. In patients diagnosed with unipolar depression (UD), our objective was to investigate the association between mood instability, calculated based on daily smartphone-based patient-reported data on mood, and functioning, quality of life, perceived stress, empowerment, rumination, recovery, worrying and wellbeing. METHODS: Patients with UD completed daily smartphone-based self-assessments of mood for 6 months, making it possible to calculate mood instability using the Root Mean Squared Successive Difference (rMSSD) method. A total of 59 patients with UD were included. Data were analyzed using mixed effects regression models. RESULTS: There was a statistically significant association between increased mood instability and increased perceived stress (adjusted model: B: 0.010, 95% CI: 0.00027; 0.021, p = 0.044), and worrying (adjusted model: B: 0.0060, 95% CI: 0.000016; 0.012, p = 0.049), and decreased quality of life (adjusted model: B: -0.0056, 95% CI: -0.011; -0.00028, p = 0.039), recovery (adjusted model: B: -0.032, 95% CI: -0.0059; -0.00053, p = 0.019) and wellbeing. There were no statistically significant associations between mood instability and functioning, empowerment, and rumination (p's >0.09). CONCLUSION: These findings underscore the significant influence of mood instability on patients' daily lives. Identification of mood fluctuations offer potential insights into the trajectory of the illness in these individuals.

Identifying the blue patient: preoperative screening for depression.

Preoperative depression is an underappreciated comorbidity that has important implications for postoperative outcomes. Screening for symptoms of depression before surgery can identify patients with or without a previous diagnosis of depression who could benefit from perioperative interventions to improve mood. Preoperative screening programmes are feasible to implement, although care must be taken to ensure that patients who are most likely to benefit are included.

Cross-sectional study of psychiatric disorders in patients with chronic musculoskeletal pain and individuals without pain.

BACKGROUND: Musculoskeletal chronic pain is a leading cause of global disability and laboral incapacity. However, there is a lack of population-based studies that investigate the relationship between chronic pain and mental disorders with a control group, particularly among low- and middle-income countries. Chronic pain is a serious public health problem in terms of human suffering, and in terms of socioeconomic implications. Frequent association with different mental disorders increases disability, decreases quality of life, and makes diagnosis and treatment challenging. The present study aimed to evaluate the presence of mental disorders in patients with chronic musculoskeletal pain and compare with a control group without pain. METHODS: We selected 100 patients in a regular follow-up at the Musculoskeletal Pain Outpatient Clinic of the University Hospital and compared them with 100 painless individuals from the control group from June 2016 to June 2018. The instruments used were the Mini International Neuropsychiatric Interview (MINI-PLUS) and a structured questionnaire to collect sociodemographic data. Statistical analysis used t-test, chi-square, Fisher's exact test, Mann-Whitney, Kolmogorov-Smirnov tests, and multiple logistic regression. RESULTS: In the sample evaluated, the majority of patients were women (83%), of brown color (54%), with lower-level education (51%), lower salary range (73%) and high absenteeism rate at work (60,7%). Patients with chronic pain had more psychiatric disorders (88% vs. 48% in the control group; p < 0.001). The most frequent diagnoses were anxiety disorders with panic attacks (44%), generalized anxiety (36%), mixed anxiety and depression disorder (33%), social phobia (30%), agoraphobia (29%), suicide risk (28%), and major depression (27%). CONCLUSION: Positive correlations of mental disorders and chronic musculoskeletal pain have been documented. This suggests that psychiatric components must be taken into account in the management of chronic pain syndromes. The use of Mini Plus as a diagnostic tool for psychiatric disorders can contribute to optimizing the diagnosis and treatment of patients with chronic pain and encourage the creation of policies with strategies and criteria for quick access to Multi-professional Services.

Gaps between current practice in perinatal depression screening and guideline recommendations: a systematic review.

OBJECTIVE: Screening for perinatal depression is recommended by many guidelines to reduce the disease burden, but current implementation practices require clarification. METHOD: Fifteen databases were searched for observational studies using a pre-tested search strategy. In addition, the websites of academic organizations were searched for guidelines, recommendations, and reports. Literature published between January 1, 2010, and December 19, 2021, in either English or Chinese, was included. The standard form of the Joanna Briggs Institute (JBI) was used to assess risk of bias of the included studies. RESULTS: The data analysis covered 103 studies, 21 guidelines, 11 recommendations, five position statements, three reports, two committee opinions, three consensuses, one consultation, and one policy statement. All but one guideline recommended that mothers be routinely screened for perinatal depression at least once during the perinatal period. In addition, 39 documents recommended that perinatal mothers at risk of perinatal depression be provided with or referred to counseling services. In original studies, however, only 8.7% of the original studies conducted routine screenings, and only one-third offered referral services after the screening process. The EPDS emerged as the most frequently used screening tool to measure perinatal depression. 32% (n = 33) of studies reported the technology used for screening. The most commonly used method was face-to-face interviews (n = 22). Screening personnel the agents conducting the screening comprised researchers (n = 26), nurses (n = 15), doctors (n = 11). CONCLUSIONS: A significant disparity was observed between the recommendations and implementation of perinatal depression screening, highlighting the need to integrate routine screening and referral processes into maternal care services.