Materiały źródłowe

• #1 Diagnosis vs. Prognosis in Mental Health

  https://www.verywellmind.com/prognosis-defined-2610393

  A prognosis is a prediction about the condition’s course or outcome. […] A prognosis also makes predictions about how a condition will affect a person’s quality of life. It is used as a best guess for how the condition will affect your life in the future. […] Prognosis is a best guess about the future course and impact of a condition, but that doesn’t mean it is set in stone. Individual prognosis with any condition can depend on a variety of factors including your medical history, general health, severity of symptoms, sex, age, and lifestyle factors. […] A prognosis may be provided at diagnosis, but it can also be updated over time as more information becomes available about how a person will respond to treatment. […] A prognosis statement contains predictions about the outcome of a person’s condition and the expected course the condition is likely to take. […] Prognosis with treatment refers to how a person is expected to fare if their condition is treated appropriately. In most cases, a person’s prognosis is much better if they receive treatment than if their symptoms are left untreated.

• #2 Diagnosis vs. Prognosis in Mental Health

  https://www.verywellmind.com/prognosis-defined-2610393

  A prognosis is a prediction about the condition’s course or outcome. […] A prognosis also makes predictions about how a condition will affect a person’s quality of life. It is used as a best guess for how the condition will affect your life in the future. […] Prognosis is a best guess about the future course and impact of a condition, but that doesn’t mean it is set in stone. Individual prognosis with any condition can depend on a variety of factors including your medical history, general health, severity of symptoms, sex, age, and lifestyle factors. […] A prognosis may be provided at diagnosis, but it can also be updated over time as more information becomes available about how a person will respond to treatment. […] A prognosis statement contains predictions about the outcome of a person’s condition and the expected course the condition is likely to take. […] Prognosis with treatment refers to how a person is expected to fare if their condition is treated appropriately. In most cases, a person’s prognosis is much better if they receive treatment than if their symptoms are left untreated.

• #3 Assessing prognosis in depression: comparing perspectives of AI models, mental health professionals and the general public

  https://pmc.ncbi.nlm.nih.gov/articles/PMC10806564/

  The pessimistic outlook presented by ChatGPT 3.5 is concerning, as it could potentially diminish patients drive to initiate or continue depression therapy. […] This focus is crucial for helping patients to make informed decisions about their treatment and enhancing the transparency of the therapeutic process. […] The clinicians stance on a patients recuperative potential is complex and has many dimensions. […] From a utilitarian perspective, the medical professionals acumen in prognosticating a patients likely therapeutic coursecommonly referred to as prognosisis indispensable clinical competency. […] Providing a nuanced and forthright prognosis serves to bolster patient morale and cultivate optimism in instances where full recovery is plausible while tempering expectations in more adverse clinical scenarios.

• #4 Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies | BMJ Mental Health

  https://mentalhealth.bmj.com/content/27/1/e301226

  Relationship status warrants further research to explore its role as a prognostic factor for relapse. […] Until we can accurately stratify patients according to risk of relapse, a universal approach to relapse prevention may be most beneficial, either during acute-phase treatment or post remission. […] We found that it is not possible to accurately predict individualised risk of relapse using prognostic factors that are routinely collected and available in primary care. […] Future prognosis research in this area should focus on exploring the feasibility of routinely measuring and documenting additional prognostic factors in primary care (eg, adverse childhood events, relationship status and social support) and including these in prognostic models. […] The ability to predict an individual patients risk of relapse after an episode of depression might assist clinicians in targeting relapse prevention interventions towards those at greatest risk.

• #5 Assessing prognosis in depression: comparing perspectives of AI models, mental health professionals and the general public

  https://pmc.ncbi.nlm.nih.gov/articles/PMC10806564/

  The findings demonstrate LLMs potential value in complementing professionals expertise but also highlight the need for further research to optimise LLM integration and ensure equitable application in mental healthcare. […] The study highlights the optimism shared by LLMs, mental health professionals and the general public regarding the positive outcomes associated with professional help in depression management. […] The influence of the assessment of recovery over the therapeutic relationship should be noted here. It directly affects the therapists commitment to dedicating time and effort to the patient as well as influencing the patients motivation to initiate or sustain treatment.

• #6 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  Treatment outcomes for major depressive disorder (MDD) need to be improved. Presently, no clinically relevant tools have been established for stratifying subgroups or predicting outcomes. […] The results show that early recognition and treatment are crucial, as duration of untreated depression correlates with worse outcomes. Early improvement is associated with response and remission, while comorbidities prolong course of illness. […] Clear evidence of an inverse relationship between duration of episode and treatment outcome (either response or remission) underscores the importance of early intervention in MDD. […] In particular, replicable prospective and retrospective studies indicate that shorter duration of untreated disease both in terms of first and recurrent episodes is a prognostic factor indicating better treatment response and better long-term outcomes.

• #7 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  Another important clinical variable is time to antidepressant response. […] Early response to antidepressant treatment appears to occur independently of treatment modality or outcome parameters. […] This suggests that TRD defined loosely here as non-response to at least two adequate antidepressant trials and chronic depression (roughly defined here as non-response to any treatment) may have similar response slopes in the earliest treatment stages. […] In addition, lower baseline function and quality of life including longer duration of the current index episode have been associated with lower remission rates to various types of antidepressant treatments. […] The influence of sociodemographic factors such as age, age of onset, gender, and number of previous episodes on treatment outcome has been investigated with mixed results.

• #8 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  Treatment outcomes for major depressive disorder (MDD) need to be improved. Presently, no clinically relevant tools have been established for stratifying subgroups or predicting outcomes. […] The results show that early recognition and treatment are crucial, as duration of untreated depression correlates with worse outcomes. Early improvement is associated with response and remission, while comorbidities prolong course of illness. […] Clear evidence of an inverse relationship between duration of episode and treatment outcome (either response or remission) underscores the importance of early intervention in MDD. […] In particular, replicable prospective and retrospective studies indicate that shorter duration of untreated disease both in terms of first and recurrent episodes is a prognostic factor indicating better treatment response and better long-term outcomes.

• #9 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  High stress levels significantly influence outcomes in MDD patients who are prone to vulnerable states, such as those with high levels of neuroticism. […] Psychiatric comorbidity has been shown to influence outcome in both treated and untreated patients. […] A large recent study found that clinically diagnosed personality disorder was associated with negative outcomes (with regard to remission and persistent depressive symptoms) six months after diagnosis in MDD subjects enrolled in primary care. […] The volume of other brain regions, including the anterior cingulate or orbitofrontal cortices, have also been shown to be decreased in MDD subjects, but more longitudinal neuroimaging trials with antidepressants are needed to clarify this association. […] Consistent with neuroinflammatory processes, elevated levels of C-reactive protein (CRP), tumor necrosis factor alpha (TNF), and interleukin-6 (IL-6) have been reported in a subset of MDD patients.

• #10 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  High stress levels significantly influence outcomes in MDD patients who are prone to vulnerable states, such as those with high levels of neuroticism. […] Psychiatric comorbidity has been shown to influence outcome in both treated and untreated patients. […] A large recent study found that clinically diagnosed personality disorder was associated with negative outcomes (with regard to remission and persistent depressive symptoms) six months after diagnosis in MDD subjects enrolled in primary care. […] The volume of other brain regions, including the anterior cingulate or orbitofrontal cortices, have also been shown to be decreased in MDD subjects, but more longitudinal neuroimaging trials with antidepressants are needed to clarify this association. […] Consistent with neuroinflammatory processes, elevated levels of C-reactive protein (CRP), tumor necrosis factor alpha (TNF), and interleukin-6 (IL-6) have been reported in a subset of MDD patients.

• #11 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  High stress levels significantly influence outcomes in MDD patients who are prone to vulnerable states, such as those with high levels of neuroticism. […] Psychiatric comorbidity has been shown to influence outcome in both treated and untreated patients. […] A large recent study found that clinically diagnosed personality disorder was associated with negative outcomes (with regard to remission and persistent depressive symptoms) six months after diagnosis in MDD subjects enrolled in primary care. […] The volume of other brain regions, including the anterior cingulate or orbitofrontal cortices, have also been shown to be decreased in MDD subjects, but more longitudinal neuroimaging trials with antidepressants are needed to clarify this association. […] Consistent with neuroinflammatory processes, elevated levels of C-reactive protein (CRP), tumor necrosis factor alpha (TNF), and interleukin-6 (IL-6) have been reported in a subset of MDD patients.

• #12 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  A meta-analysis found that increased BDNF levels in response to treatment successfully stratified responders and remitters compared to non-responders. […] While some studies have suggested that depressive subtypes in MDD including anxious, mixed, melancholic, atypical, and psychotic depression respond differently to antidepressant treatment, this literature is mixed. […] Most importantly, TRD is life-threatening, and associated with a two- to threefold increased risk of suicide attempts compared to responding patients, and a 15-fold increased risk compared to the general population. […] The studies reviewed above also underscore the manner in which SLEs, as well as physical and psychiatric comorbidities, contribute to impaired outcomes. […] This review outlines important clinical, psychosocial, and biological factors associated with response and remission to antidepressant treatment.

• #13 Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies | BMJ Mental Health

  https://mentalhealth.bmj.com/content/27/1/e301226

  We concluded that we currently lack evidence-based tools to assist clinicians with risk prediction of depressive relapse in any clinical setting and that new models are required to give accurate risk predictions in primary care settings. […] The objective is to develop and validate a prognostic model, for use in clinical primary care settings, to predict risk of relapse in adults with remitted depression. […] We developed a model for predicting depression relapse in adults with remitted depression in primary care. Generally, the model had suboptimal predictive performance, with heterogeneous calibration across clusters on IECV and C-statistic below that required for acceptable discrimination. […] Secondary analysis found a statistically significant association between relationship status and relapse. […] Existing relapse risk prediction models are currently insufficiently accurate, and unlikely to be suitable to guide the provision of relapse prevention in primary care.

• #14

  https://link.springer.com/article/10.1007/s10488-024-01401-2

  The results showed that early changes on a specific domain of the SIPP were the strongest predictors of case-mix corrected final scores on that same domain, and the proportion of explained variance ranged from 10.9 to 33.4%. […] This indicates that improvements or declines in specific personality domains early in treatment are highly indicative of the final outcomes in those same domains. […] The second most significant predictor for the domains of Self-Control, Relational Functioning, and Identity Integration was the early change on the OQ-45 SD scale. […] The takeaway is that even though they both measure personality functioning, the SIPP domains and the GAPD cannot be used interchangeably to predict each other. […] In sum, in the context of personality disorder treatments, early assessments during the initial 8 weeks of inpatient care can reveal valuable insights into treatment responsiveness.

• #15 Assessing prognosis in depression: comparing perspectives of AI models, mental health professionals and the general public

  https://pmc.ncbi.nlm.nih.gov/articles/PMC10806564/

  Artificial intelligence (AI) has rapidly permeated various sectors, including healthcare, highlighting its potential to facilitate mental health assessments. This study explores the underexplored domain of AIs role in evaluating prognosis and long-term outcomes in depressive disorders, offering insights into how AI large language models (LLMs) compare with human perspectives. […] We evaluate the LLMs ability to generate prognosis, anticipated outcomes with and without professional intervention, and envisioned long-term positive and negative consequences for individuals with depression. […] ChatGPT-3.5 exhibited a significantly pessimistic prognosis distinct from other LLMs, professionals and the public. […] The observation that three of the four LLMs closely mirrored the anticipations of mental health experts in scenarios involving treatment underscores the technologys prospective value in offering professional clinical forecasts.

• #16 Machine learning model to predict mental health crises from electronic health records

  https://pmc.ncbi.nlm.nih.gov/articles/PMC9205775/

  The timely identification of patients who are at risk of a mental health crisis can lead to improved outcomes and to the mitigation of burdens and costs. […] Machine learning applied on electronic health records can predict mental health crises 28 days in advance and become a clinically valuable tool for managing caseloads and mitigating the risk of crisis. […] Therefore, identifying patients at risk of experiencing a crisis before its occurrence is central to improving patient outcomes and managing caseloads. […] This research explores the feasibility of predicting any mental health crisis event, regardless of its cause or the underlying mental disorder, and we investigate whether such predictions can provide added value to clinical practice. […] We evaluated the performance of the prediction model in patients with mental health disorders grouped according to the first-level categorization of the ICD-10.

• #17 Machine learning model to predict mental health crises from electronic health records | Nature Medicine

  https://www.nature.com/articles/s41591-022-01811-5

  The timely identification of patients who are at risk of a mental health crisis can lead to improved outcomes and to the mitigation of burdens and costs. […] A follow-up 6-month prospective study evaluated our algorithms use in clinical practice and observed predictions to be clinically valuable in terms of either managing caseloads or mitigating the risk of crisis in 64% of cases. […] Therefore, identifying patients at risk of experiencing a crisis before its occurrence is central to improving patient outcomes and managing caseloads. […] This research explores the feasibility of predicting any mental health crisis event, regardless of its cause or the underlying mental disorder, and we investigate whether such predictions can provide added value to clinical practice. […] We evaluated the performance of the prediction model in patients with mental health disorders grouped according to the first-level categorization of the ICD-10.

• #18 Mental Health Prediction Model in Eswatini Using Machine Learning Techniques | IntechOpen

  https://www.intechopen.com/online-first/1216202

  Machine learning techniques are currently popular approaches for mental health problem detection. […] The high prevalence of mental illness combined with the need for effective health care has led to an increase in the investigation of how machine learning can assist in the detection and diagnosis of mental health problems. […] This project has confirmed from the existing literature that indeed ML models can achieve high accuracy in predicting anxiety and depression. […] From this study, findings showed that early detection in identifying individuals at risk of developing anxiety or depression can enable early intervention and prevention. […] Overall, while challenges remain, developing predictive ML models for anxiety and depression holds significant promise for improving mental health care.

• #19

  https://link.springer.com/article/10.1007/s10488-024-01401-2

  A significant proportion of patients with a personality disorder do not benefit from treatment. […] This study examined whether early changes in symptoms and personality dysfunction during the first phase of therapy could predict treatment outcomes. […] Early changes within a specific SIPP domain were the strongest predictors of post-treatment outcomes in that same domain. […] Early changes in symptoms significantly predicted outcomes in Self-Control, Relational Functioning, and Identity Integration, while the GAPD predicted outcomes in Self-Control and Social Attunement on the SIPP. […] Thus, when it comes to personality dysfunction, early changes in a specific domain or measure are the best predictors of outcomes in that same domain. […] In sum, considering these factors, monitoring early change can be useful in assessing progress in the treatment of patients with personality disorders.

• #20

  https://link.springer.com/article/10.1007/s10488-024-01401-2

  A significant proportion of patients with a personality disorder do not benefit from treatment. […] This study examined whether early changes in symptoms and personality dysfunction during the first phase of therapy could predict treatment outcomes. […] Early changes within a specific SIPP domain were the strongest predictors of post-treatment outcomes in that same domain. […] Early changes in symptoms significantly predicted outcomes in Self-Control, Relational Functioning, and Identity Integration, while the GAPD predicted outcomes in Self-Control and Social Attunement on the SIPP. […] Thus, when it comes to personality dysfunction, early changes in a specific domain or measure are the best predictors of outcomes in that same domain. […] In sum, considering these factors, monitoring early change can be useful in assessing progress in the treatment of patients with personality disorders.

• #21

  https://journals.lww.com/ccmjournal/fulltext/2020/12000/prediction_models_for_physical,_cognitive,_and.24.aspx

  There is a growing urgency to recognize and detect these post-ICU impairments. […] Therefore, accurate prediction of future problems following discharge from the ICU or hospital is needed to triage patient care and helps ensure survivors receive the right care, by the right clinician, at the right time in their recovery trajectory. […] It is particularly important to identify those most at-risk of developing long-term and/or severe impairments to inform clinical decision-making and care coordination. […] However, the ability to predict impairments in the physical, cognitive, and/or mental health domains of PICS is currently unknown. […] This review highlighted the limited evidence-base with which to predict such outcomes. […] Although there is no one strategy to reliably predict PICS-related problems, clinicians can use the approach recommended by the consensus conference to risk-stratify and screen survivors at high risk for long-term cognitive, mental health, and physical impairments after critical illness. […] This review summarizes the current state of the literature and provides impetus to advance the science, clearly setting out the methodological groundwork to do so.

• #22

  https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people

  One in four people in the world will be affected by mental or neurological disorders at some point in their lives. […] The report says some mental disorders can be prevented; most mental and behavioural disorders can be successfully treated; and that much of this prevention, cure and treatment is affordable. […] Despite the chronic and long-term nature of some mental disorders, with the proper treatment, people suffering from mental disorders can live productive lives and be a vital part of their communities. […] Over 80% of people with schizophrenia can be free of relapses at the end of one year of treatment with antipsychotic drugs combined with family intervention. […] Up to 60% of people with depression can recover with a proper combination of antidepressant drugs and psychotherapy.

• #23

  https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people

  One in four people in the world will be affected by mental or neurological disorders at some point in their lives. […] The report says some mental disorders can be prevented; most mental and behavioural disorders can be successfully treated; and that much of this prevention, cure and treatment is affordable. […] Despite the chronic and long-term nature of some mental disorders, with the proper treatment, people suffering from mental disorders can live productive lives and be a vital part of their communities. […] Over 80% of people with schizophrenia can be free of relapses at the end of one year of treatment with antipsychotic drugs combined with family intervention. […] Up to 60% of people with depression can recover with a proper combination of antidepressant drugs and psychotherapy.

• #24

  https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people

  One in four people in the world will be affected by mental or neurological disorders at some point in their lives. […] The report says some mental disorders can be prevented; most mental and behavioural disorders can be successfully treated; and that much of this prevention, cure and treatment is affordable. […] Despite the chronic and long-term nature of some mental disorders, with the proper treatment, people suffering from mental disorders can live productive lives and be a vital part of their communities. […] Over 80% of people with schizophrenia can be free of relapses at the end of one year of treatment with antipsychotic drugs combined with family intervention. […] Up to 60% of people with depression can recover with a proper combination of antidepressant drugs and psychotherapy.

• #25

  https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people

  Up to 70% of people with epilepsy can be seizure free when treated with simple, inexpensive anticonvulsants. […] The report says new knowledge can have a tremendous impact on how individuals, societies and the public health community deal with mental disorders. […] Countries should move towards setting up community care alternatives in a planned manner, ensuring that such alternatives are in place even as institutions are being phased out.

• #26

  https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people

  One in four people in the world will be affected by mental or neurological disorders at some point in their lives. […] The report says some mental disorders can be prevented; most mental and behavioural disorders can be successfully treated; and that much of this prevention, cure and treatment is affordable. […] Despite the chronic and long-term nature of some mental disorders, with the proper treatment, people suffering from mental disorders can live productive lives and be a vital part of their communities. […] Over 80% of people with schizophrenia can be free of relapses at the end of one year of treatment with antipsychotic drugs combined with family intervention. […] Up to 60% of people with depression can recover with a proper combination of antidepressant drugs and psychotherapy.

• #27

  https://www.who.int/news/item/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people

  Up to 70% of people with epilepsy can be seizure free when treated with simple, inexpensive anticonvulsants. […] The report says new knowledge can have a tremendous impact on how individuals, societies and the public health community deal with mental disorders. […] Countries should move towards setting up community care alternatives in a planned manner, ensuring that such alternatives are in place even as institutions are being phased out.

• #28 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  Treatment outcomes for major depressive disorder (MDD) need to be improved. Presently, no clinically relevant tools have been established for stratifying subgroups or predicting outcomes. […] The results show that early recognition and treatment are crucial, as duration of untreated depression correlates with worse outcomes. Early improvement is associated with response and remission, while comorbidities prolong course of illness. […] Clear evidence of an inverse relationship between duration of episode and treatment outcome (either response or remission) underscores the importance of early intervention in MDD. […] In particular, replicable prospective and retrospective studies indicate that shorter duration of untreated disease both in terms of first and recurrent episodes is a prognostic factor indicating better treatment response and better long-term outcomes.

• #29 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  Treatment outcomes for major depressive disorder (MDD) need to be improved. Presently, no clinically relevant tools have been established for stratifying subgroups or predicting outcomes. […] The results show that early recognition and treatment are crucial, as duration of untreated depression correlates with worse outcomes. Early improvement is associated with response and remission, while comorbidities prolong course of illness. […] Clear evidence of an inverse relationship between duration of episode and treatment outcome (either response or remission) underscores the importance of early intervention in MDD. […] In particular, replicable prospective and retrospective studies indicate that shorter duration of untreated disease both in terms of first and recurrent episodes is a prognostic factor indicating better treatment response and better long-term outcomes.

• #30 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  Treatment outcomes for major depressive disorder (MDD) need to be improved. Presently, no clinically relevant tools have been established for stratifying subgroups or predicting outcomes. […] The results show that early recognition and treatment are crucial, as duration of untreated depression correlates with worse outcomes. Early improvement is associated with response and remission, while comorbidities prolong course of illness. […] Clear evidence of an inverse relationship between duration of episode and treatment outcome (either response or remission) underscores the importance of early intervention in MDD. […] In particular, replicable prospective and retrospective studies indicate that shorter duration of untreated disease both in terms of first and recurrent episodes is a prognostic factor indicating better treatment response and better long-term outcomes.

• #31 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  Another important clinical variable is time to antidepressant response. […] Early response to antidepressant treatment appears to occur independently of treatment modality or outcome parameters. […] This suggests that TRD defined loosely here as non-response to at least two adequate antidepressant trials and chronic depression (roughly defined here as non-response to any treatment) may have similar response slopes in the earliest treatment stages. […] In addition, lower baseline function and quality of life including longer duration of the current index episode have been associated with lower remission rates to various types of antidepressant treatments. […] The influence of sociodemographic factors such as age, age of onset, gender, and number of previous episodes on treatment outcome has been investigated with mixed results.

• #32 Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies | BMJ Mental Health

  https://mentalhealth.bmj.com/content/27/1/e301226

  Relationship status warrants further research to explore its role as a prognostic factor for relapse. […] Until we can accurately stratify patients according to risk of relapse, a universal approach to relapse prevention may be most beneficial, either during acute-phase treatment or post remission. […] We found that it is not possible to accurately predict individualised risk of relapse using prognostic factors that are routinely collected and available in primary care. […] Future prognosis research in this area should focus on exploring the feasibility of routinely measuring and documenting additional prognostic factors in primary care (eg, adverse childhood events, relationship status and social support) and including these in prognostic models. […] The ability to predict an individual patients risk of relapse after an episode of depression might assist clinicians in targeting relapse prevention interventions towards those at greatest risk.

• #33 Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies | BMJ Mental Health

  https://mentalhealth.bmj.com/content/27/1/e301226

  Relapse of depression is common and contributes to the overall associated morbidity and burden. We lack evidence-based tools to estimate an individuals risk of relapse after treatment in primary care, which may help us more effectively target relapse prevention. […] The objective was to develop and validate a prognostic model to predict risk of relapse of depression in primary care. […] Residual depressive symptoms (OR: 1.13 (95% CI: 1.07 to 1.20), p0.001) and baseline depression severity (OR: 1.07 (1.04 to 1.11), p0.001) were associated with relapse. […] The validated model had low discrimination (C-statistic 0.60 (0.550.65)) and miscalibration concerns (calibration slope 0.81 (0.311.31)). […] We could not predict risk of depression relapse with sufficient accuracy in primary care data, using routinely recorded measures.

• #34 Association between life satisfaction, sleep disturbance and mental health problems among the migrant older adults with children: a conditional process analysis based on per capita bedroom area | BMC Geriatrics | Full Text

  https://bmcgeriatr.biomedcentral.com/articles/10.1186/s12877-025-05957-y

  Life satisfaction was negatively associated with mental health problems, and sleep disturbance could mediate their association. […] The direct effect of life satisfaction on mental health problems and the indirect effect of sleep disturbance in the relationship were moderated by PCBA, but it only moderated the direct effect and the second indirect link (sleep disturbance-mental health problems) of the mediating effect. […] Life satisfaction had negative effect on mental health problems. PCBA moderated the direct effect of life satisfaction on mental health problems and the mediating effect of sleep disturbance on mental health problems. […] The association between life satisfaction and mental health problems was partially mediated by sleep disturbance. […] PCBA was found could moderate the direct effect of life satisfaction on mental health problems and the second half of the indirect effect from sleep disturbance to mental health problems.

• #35 Association between life satisfaction, sleep disturbance and mental health problems among the migrant older adults with children: a conditional process analysis based on per capita bedroom area | BMC Geriatrics | Full Text

  https://bmcgeriatr.biomedcentral.com/articles/10.1186/s12877-025-05957-y

  Life satisfaction was negatively associated with mental health problems, and sleep disturbance could mediate their association. […] The direct effect of life satisfaction on mental health problems and the indirect effect of sleep disturbance in the relationship were moderated by PCBA, but it only moderated the direct effect and the second indirect link (sleep disturbance-mental health problems) of the mediating effect. […] Life satisfaction had negative effect on mental health problems. PCBA moderated the direct effect of life satisfaction on mental health problems and the mediating effect of sleep disturbance on mental health problems. […] The association between life satisfaction and mental health problems was partially mediated by sleep disturbance. […] PCBA was found could moderate the direct effect of life satisfaction on mental health problems and the second half of the indirect effect from sleep disturbance to mental health problems.

• #36 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  High stress levels significantly influence outcomes in MDD patients who are prone to vulnerable states, such as those with high levels of neuroticism. […] Psychiatric comorbidity has been shown to influence outcome in both treated and untreated patients. […] A large recent study found that clinically diagnosed personality disorder was associated with negative outcomes (with regard to remission and persistent depressive symptoms) six months after diagnosis in MDD subjects enrolled in primary care. […] The volume of other brain regions, including the anterior cingulate or orbitofrontal cortices, have also been shown to be decreased in MDD subjects, but more longitudinal neuroimaging trials with antidepressants are needed to clarify this association. […] Consistent with neuroinflammatory processes, elevated levels of C-reactive protein (CRP), tumor necrosis factor alpha (TNF), and interleukin-6 (IL-6) have been reported in a subset of MDD patients.

• #37 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  High stress levels significantly influence outcomes in MDD patients who are prone to vulnerable states, such as those with high levels of neuroticism. […] Psychiatric comorbidity has been shown to influence outcome in both treated and untreated patients. […] A large recent study found that clinically diagnosed personality disorder was associated with negative outcomes (with regard to remission and persistent depressive symptoms) six months after diagnosis in MDD subjects enrolled in primary care. […] The volume of other brain regions, including the anterior cingulate or orbitofrontal cortices, have also been shown to be decreased in MDD subjects, but more longitudinal neuroimaging trials with antidepressants are needed to clarify this association. […] Consistent with neuroinflammatory processes, elevated levels of C-reactive protein (CRP), tumor necrosis factor alpha (TNF), and interleukin-6 (IL-6) have been reported in a subset of MDD patients.

• #38 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  A meta-analysis found that increased BDNF levels in response to treatment successfully stratified responders and remitters compared to non-responders. […] While some studies have suggested that depressive subtypes in MDD including anxious, mixed, melancholic, atypical, and psychotic depression respond differently to antidepressant treatment, this literature is mixed. […] Most importantly, TRD is life-threatening, and associated with a two- to threefold increased risk of suicide attempts compared to responding patients, and a 15-fold increased risk compared to the general population. […] The studies reviewed above also underscore the manner in which SLEs, as well as physical and psychiatric comorbidities, contribute to impaired outcomes. […] This review outlines important clinical, psychosocial, and biological factors associated with response and remission to antidepressant treatment.

• #39 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  A meta-analysis found that increased BDNF levels in response to treatment successfully stratified responders and remitters compared to non-responders. […] While some studies have suggested that depressive subtypes in MDD including anxious, mixed, melancholic, atypical, and psychotic depression respond differently to antidepressant treatment, this literature is mixed. […] Most importantly, TRD is life-threatening, and associated with a two- to threefold increased risk of suicide attempts compared to responding patients, and a 15-fold increased risk compared to the general population. […] The studies reviewed above also underscore the manner in which SLEs, as well as physical and psychiatric comorbidities, contribute to impaired outcomes. […] This review outlines important clinical, psychosocial, and biological factors associated with response and remission to antidepressant treatment.

• #40 Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies | BMJ Mental Health

  https://mentalhealth.bmj.com/content/27/1/e301226

  We concluded that we currently lack evidence-based tools to assist clinicians with risk prediction of depressive relapse in any clinical setting and that new models are required to give accurate risk predictions in primary care settings. […] The objective is to develop and validate a prognostic model, for use in clinical primary care settings, to predict risk of relapse in adults with remitted depression. […] We developed a model for predicting depression relapse in adults with remitted depression in primary care. Generally, the model had suboptimal predictive performance, with heterogeneous calibration across clusters on IECV and C-statistic below that required for acceptable discrimination. […] Secondary analysis found a statistically significant association between relationship status and relapse. […] Existing relapse risk prediction models are currently insufficiently accurate, and unlikely to be suitable to guide the provision of relapse prevention in primary care.

• #41 Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies | BMJ Mental Health

  https://mentalhealth.bmj.com/content/27/1/e301226

  Relapse of depression is common and contributes to the overall associated morbidity and burden. We lack evidence-based tools to estimate an individuals risk of relapse after treatment in primary care, which may help us more effectively target relapse prevention. […] The objective was to develop and validate a prognostic model to predict risk of relapse of depression in primary care. […] Residual depressive symptoms (OR: 1.13 (95% CI: 1.07 to 1.20), p0.001) and baseline depression severity (OR: 1.07 (1.04 to 1.11), p0.001) were associated with relapse. […] The validated model had low discrimination (C-statistic 0.60 (0.550.65)) and miscalibration concerns (calibration slope 0.81 (0.311.31)). […] We could not predict risk of depression relapse with sufficient accuracy in primary care data, using routinely recorded measures.

• #42 Development and validation of a prognostic model to predict relapse in adults with remitted depression in primary care: secondary analysis of pooled individual participant data from multiple studies | BMJ Mental Health

  https://mentalhealth.bmj.com/content/27/1/e301226

  Relationship status warrants further research to explore its role as a prognostic factor for relapse. […] Until we can accurately stratify patients according to risk of relapse, a universal approach to relapse prevention may be most beneficial, either during acute-phase treatment or post remission. […] We found that it is not possible to accurately predict individualised risk of relapse using prognostic factors that are routinely collected and available in primary care. […] Future prognosis research in this area should focus on exploring the feasibility of routinely measuring and documenting additional prognostic factors in primary care (eg, adverse childhood events, relationship status and social support) and including these in prognostic models. […] The ability to predict an individual patients risk of relapse after an episode of depression might assist clinicians in targeting relapse prevention interventions towards those at greatest risk.

• #43 Prognosis and improved outcomes in major depression: a review | Translational Psychiatry

  https://www.nature.com/articles/s41398-019-0460-3

  A meta-analysis found that increased BDNF levels in response to treatment successfully stratified responders and remitters compared to non-responders. […] While some studies have suggested that depressive subtypes in MDD including anxious, mixed, melancholic, atypical, and psychotic depression respond differently to antidepressant treatment, this literature is mixed. […] Most importantly, TRD is life-threatening, and associated with a two- to threefold increased risk of suicide attempts compared to responding patients, and a 15-fold increased risk compared to the general population. […] The studies reviewed above also underscore the manner in which SLEs, as well as physical and psychiatric comorbidities, contribute to impaired outcomes. […] This review outlines important clinical, psychosocial, and biological factors associated with response and remission to antidepressant treatment.

• #44 Machine learning model to predict mental health crises from electronic health records

  https://pmc.ncbi.nlm.nih.gov/articles/PMC9205775/

  The timely identification of patients who are at risk of a mental health crisis can lead to improved outcomes and to the mitigation of burdens and costs. […] Machine learning applied on electronic health records can predict mental health crises 28 days in advance and become a clinically valuable tool for managing caseloads and mitigating the risk of crisis. […] Therefore, identifying patients at risk of experiencing a crisis before its occurrence is central to improving patient outcomes and managing caseloads. […] This research explores the feasibility of predicting any mental health crisis event, regardless of its cause or the underlying mental disorder, and we investigate whether such predictions can provide added value to clinical practice. […] We evaluated the performance of the prediction model in patients with mental health disorders grouped according to the first-level categorization of the ICD-10.

• #45 The PSYchiatric clinical outcome prediction (PSYCOP) cohort: leveraging the potential of electronic health records in the treatment of mental disorders | Acta Neuropsychiatrica | Cambridge Core

  https://www.cambridge.org/core/journals/acta-neuropsychiatrica/article/psychiatric-clinical-outcome-prediction-psycop-cohort-leveraging-the-potential-of-electronic-health-records-in-the-treatment-of-mental-disorders/73CDCC5B36FF1347E6419EC7B80DEC48

  The quality of life and lifespan are greatly reduced among individuals with mental illness. […] To improve prognosis, the nascent field of precision psychiatry aims to provide personalised predictions for the course of illness and response to treatment. […] Implementation of prediction models in clinical psychiatry will likely improve treatment and, hopefully, increase the quality of life and lifespan of those with mental illness.

• #46 The PSYchiatric clinical outcome prediction (PSYCOP) cohort: leveraging the potential of electronic health records in the treatment of mental disorders | Acta Neuropsychiatrica | Cambridge Core

  https://www.cambridge.org/core/journals/acta-neuropsychiatrica/article/psychiatric-clinical-outcome-prediction-psycop-cohort-leveraging-the-potential-of-electronic-health-records-in-the-treatment-of-mental-disorders/73CDCC5B36FF1347E6419EC7B80DEC48

  The quality of life and lifespan are greatly reduced among individuals with mental illness. […] To improve prognosis, the nascent field of precision psychiatry aims to provide personalised predictions for the course of illness and response to treatment. […] Implementation of prediction models in clinical psychiatry will likely improve treatment and, hopefully, increase the quality of life and lifespan of those with mental illness.

• #47 The PSYchiatric clinical outcome prediction (PSYCOP) cohort: leveraging the potential of electronic health records in the treatment of mental disorders | Acta Neuropsychiatrica | Cambridge Core

  https://www.cambridge.org/core/journals/acta-neuropsychiatrica/article/psychiatric-clinical-outcome-prediction-psycop-cohort-leveraging-the-potential-of-electronic-health-records-in-the-treatment-of-mental-disorders/73CDCC5B36FF1347E6419EC7B80DEC48

  The quality of life and lifespan are greatly reduced among individuals with mental illness. […] To improve prognosis, the nascent field of precision psychiatry aims to provide personalised predictions for the course of illness and response to treatment. […] Implementation of prediction models in clinical psychiatry will likely improve treatment and, hopefully, increase the quality of life and lifespan of those with mental illness.

• #48 Assessing prognosis in depression: comparing perspectives of AI models, mental health professionals and the general public

  https://pmc.ncbi.nlm.nih.gov/articles/PMC10806564/

  The findings demonstrate LLMs potential value in complementing professionals expertise but also highlight the need for further research to optimise LLM integration and ensure equitable application in mental healthcare. […] The study highlights the optimism shared by LLMs, mental health professionals and the general public regarding the positive outcomes associated with professional help in depression management. […] The influence of the assessment of recovery over the therapeutic relationship should be noted here. It directly affects the therapists commitment to dedicating time and effort to the patient as well as influencing the patients motivation to initiate or sustain treatment.

• #49

  https://link.springer.com/article/10.1007/s42979-024-03416-w

  Mental diseases are a serious worldwide problem that requires precise and effective diagnosis techniques. […] The key objective of this investigation is to evaluate the potential of DL algorithms in improving the precision and promptness of mental health diagnoses, which will lead to more focused and specific treatment strategies. […] The key findings are combined to demonstrate the ability of machine learning models to discriminate between various mental disorders, such as BPD, depression, anxiety, mental illness, schizophrenia, and bipolar disorder. […] Based on the findings, the proposed classifiers can help medical professionals make more precise identifications of mental illnesses.

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