The association between social connectedness and euthanasia and assisted suicide and related constructs: systematic review.

BACKGROUND: Euthanasia and assisted suicide (EAS) requests are common in countries where they are legal. Loneliness and social isolation are modifiable risk factors for mental illness and suicidal behaviour and are common in terminal illness. Our objective was to summarise available literature to clarify whether these and related measures of social connectedness might contribute to requests for EAS. METHODS: We conducted a pre-registered (PROSPERO CRD42019160508) systematic review and narrative synthesis of quantitative literature investigating associations between social connectedness and a) requested/actual EAS, b) attitudes towards EAS, and c) a desire for hastened death (DHD) by searching six databases (PsycINFO, MEDLINE, EMBASE, Scopus, Web of Science, Google Scholar) from inception to November 2022, rating eligible peer-reviewed, empirical studies using the QATSO quality assessment tool. RESULTS: We identified 37 eligible studies that investigated associations with a) requested/actual EAS (n = 9), b) attitudes to EAS (n = 16), and c) DHD (n = 14), with limited overlap, including 17,359 participants. The majority (62%) were rated at medium/high risk of bias. Focussing our narrative synthesis on the more methodologically sound studies, we found no evidence to support an association between different constructs of social connectedness and requested or actual EAS, and very little evidence to support an association with attitudes to EAS or an association with DHD. CONCLUSIONS: Our findings for all age groups are consistent with a those of a previous systematic review focussed on older adults and suggest that poor social connectedness is not a clear risk factor for EAS or for measures more distally related to EAS. However, we acknowledge low study quality in some studies in relation to sampling, unvalidated exposure/outcome measures, cross-sectional design, unadjusted analyses, and multiple testing. Clinical assessment should focus on modifying established risk factors for suicide and EAS, such as hopelessness and depression, as well as improving any distressing aspects of social disconnectedness to improve quality of life. FUNDING: UKRI, NIHR.

Patient-reported outcome measures for monitoring primary care patients with depression: the PROMDEP cluster RCT and economic evaluation.

Background: Guidelines on the management of depression recommend that practitioners use patient-reported outcome measures for the follow-up monitoring of symptoms, but there is a lack of evidence of benefit in terms of patient outcomes. Objective: To test using the Patient Health Questionnaire-9 questionnaire as a patient-reported outcome measure for monitoring depression, training practitioners in interpreting scores and giving patients feedback. Design: Parallel-group, cluster-randomised superiority trial; 1 : 1 allocation to intervention and control. Setting: UK primary care (141 group general practices in England and Wales). Inclusion criteria: Patients aged ≥ 18 years with a new episode of depressive disorder or symptoms, recruited mainly through medical record searches, plus opportunistically in consultations. Exclusions: Current depression treatment, dementia, psychosis, substance misuse and risk of suicide. Intervention: Administration of the Patient Health Questionnaire-9 questionnaire with patient feedback soon after diagnosis, and at follow-up 10-35 days later, compared with usual care. Primary outcome: Beck Depression Inventory, 2nd edition, symptom scores at 12 weeks. Secondary outcomes: Beck Depression Inventory, 2nd edition, scores at 26 weeks; antidepressant drug treatment and mental health service contacts; social functioning (Work and Social Adjustment Scale) and quality of life (EuroQol 5-Dimension, five-level) at 12 and 26 weeks; service use over 26 weeks to calculate NHS costs; patient satisfaction at 26 weeks (Medical Informant Satisfaction Scale); and adverse events. Sample size: The original target sample of 676 patients recruited was reduced to 554 due to finding a significant correlation between baseline and follow-up values for the primary outcome measure. Randomisation: Remote computerised randomisation with minimisation by recruiting university, small/large practice and urban/rural location. Blinding: Blinding of participants was impossible given the open cluster design, but self-report outcome measures prevented observer bias. Analysis was blind to allocation. Analysis: Linear mixed models were used, adjusted for baseline depression, baseline anxiety, sociodemographic factors, and clustering including practice as random effect. Quality of life and costs were analysed over 26 weeks. Qualitative interviews: Practitioner and patient interviews were conducted to reflect on trial processes and use of the Patient Health Questionnaire-9 using the Normalization Process Theory framework. Results: Three hundred and two patients were recruited in intervention arm practices and 227 patients were recruited in control practices. Primary outcome data were collected for 252 (83.4%) and 195 (85.9%), respectively. No significant difference in Beck Depression Inventory, 2nd edition, score was found at 12 weeks (adjusted mean difference -0.46, 95% confidence interval -2.16 to 1.26). Nor were significant differences found in Beck Depression Inventory, 2nd Edition, score at 26 weeks, social functioning, patient satisfaction or adverse events. EuroQol-5 Dimensions, five-level version, quality-of-life scores favoured the intervention arm at 26 weeks (adjusted mean difference 0.053, 95% confidence interval 0.013 to 0.093). However, quality-adjusted life-years over 26 weeks were not significantly greater (difference 0.0013, 95% confidence interval -0.0157 to 0.0182). Costs were lower in the intervention arm but, again, not significantly (-£163, 95% confidence interval -£349 to £28). Cost-effectiveness and cost-utility analyses, therefore, suggested that the intervention was dominant over usual care, but with considerable uncertainty around the point estimates. Patients valued using the Patient Health Questionnaire-9 to compare scores at baseline and follow-up, whereas practitioner views were more mixed, with some considering it too time-consuming. Conclusions: We found no evidence of improved depression management or outcome at 12 weeks from using the Patient Health Questionnaire-9, but patients' quality of life was better at 26 weeks, perhaps because feedback of Patient Health Questionnaire-9 scores increased their awareness of improvement in their depression and reduced their anxiety. Further research in primary care should evaluate patient-reported outcome measures including anxiety symptoms, administered remotely, with algorithms delivering clear recommendations for changes in treatment. Study registration: This study is registered as IRAS250225 and ISRCTN17299295. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/42/02) and is published in full in Health Technology Assessment; Vol. 28, No. 17. See the NIHR Funding and Awards website for further award information.

Depression is common, can be disabling and costs the nation billions. The National Health Service recommends general practitioners who treat people with depression use symptom questionnaires to help assess whether those people are getting better over time. A symptom questionnaire is one type of patient-reported outcome measure. Patient-reported outcome measures appear to benefit people having therapy and mental health care, but this approach has not been tested thoroughly in general practice. Most people with depression are treated in general practice, so it is important to test patient-reported outcome measures there, too. In this study, we tested whether using a patient-reported outcome measure helps people with depression get better more quickly. The study was a 'randomised controlled trial' in general practices, split into two groups. In one group, people with depression completed the Patient Health Questionnaire, or 'PHQ-9', patient-reported outcome measure, which measures nine symptoms of depression. In the other group, people with depression were treated as usual without the Patient Health Questionnaire-9. We fed the results of the Patient Health Questionnaire-9 back to the people with depression themselves to show them how severe their depression was and asked them to discuss the results with the practitioners looking after them. We found no differences between the patient-reported outcome measure group and the control group in their level of depression; their work or social life; their satisfaction with care from their practice; or their use of medicines, therapy or specialist care for depression. However, we did find that their quality of life was improved at 6 months, and the costs of the National Health Service services they used were lower. Using the Patient Health Questionnaire-9 can improve patients' quality of life, perhaps by making them more aware of improvement in their depression symptoms, and less anxious as a result. Future research should test using a patient-reported outcome measure that includes anxiety and processing the answers through a computer to give practitioners clearer advice on possible changes to treatment for depression.

Depression follow-up monitoring with the PHQ-9: open cluster-randomised controlled trial.

BACKGROUND: Outcome monitoring of depression is recommended but lacks evidence of patient benefit in primary care. AIM: To test monitoring depression using the PHQ-9 questionnaire with patient feedback. DESIGN AND SETTING: Open cluster-randomised controlled trial in 141 group practices. METHOD: Adults with new depressive episodes were recruited through records searches and opportunistically. EXCLUSION CRITERIA: dementia, psychosis, substance misuse, suicide risk. The PHQ-9 questionnaire was to be administered soon after diagnosis, and 10-35 days later. PRIMARY OUTCOME: Beck Depression Inventory (BDI-II) score at 12 weeks. SECONDARY OUTCOMES: BDI-II at 26 weeks; Work and Social Adjustment Scale and EuroQol EQ-5D-5L quality of life at 12 and 26 weeks; antidepressant treatment, mental health service use, adverse events, and Medical Informant Satisfaction Scale over 26 weeks. RESULTS: 302 intervention arm patients were recruited and 227 controls. At 12 weeks 252 (83.4%) and 195 (85.9%) were followed-up respectively. Only 41% of intervention arm patients had a GP follow-up PHQ-9 recorded. There was no significant difference in BDI-II score at 12 weeks (mean difference -0.46; 95% CI -2.16,1.26), adjusted for baseline depression, baseline anxiety, sociodemographic factors, and clustering by practice). EQ-5D-5L quality of life scores were higher in the intervention arm at 26 weeks (adjusted mean difference 0.053; 95% CI 0.093,0.013). A clinically significant difference in depression at 26 weeks could not be ruled out. No significant differences were found in social functioning, adverse events, or satisfaction. In a per-protocol analysis, antidepressant use and mental health contacts were significantly greater in intervention arm patients with a recorded follow-up PHQ-9. CONCLUSIONS: No evidence was found of improved depression outcome at 12 weeks from monitoring. The findings of possible benefits over 26 weeks warrant replication, investigating possible mechanisms, preferably with automated delivery of monitoring and more instructive feedback.

Proteomics of Coagulopathy Following Injury Reveals Limitations of Using Laboratory Assessment to Define Trauma-Induced Coagulopathy to Predict Massive Transfusion.

Objective: Trauma-induced coagulopathy (TIC) is provoked by multiple mechanisms and is perceived to be one driver of massive transfusions (MT). Single laboratory values using prothrombin time (INR) or thrombelastography (TEG) are used to clinically define this complex process. We used a proteomics approach to test whether current definitions of TIC (INR, TEG, or clinical judgement) are sufficient to capture the majority of protein changes associated with MT. Methods: Eight level-I trauma centers contributed blood samples from patients available early after injury. TIC was defined as INR >1.5 (INR-TIC), TEG maximum amplitude <50mm (TEG-TIC), or clinical judgement (Clin-TIC) by the trauma surgeon. MT was defined as > 10 units of red blood cells in 24 hours or > 4 units RBC/hour during the first 4 hr. SomaLogic proteomic analysis of 1,305 proteins was performed. Pathways associated with proteins dysregulated in patients with each TIC definition and MT were identified. Results: Patients (n=211) had a mean injury severity score of 24, with a MT and mortality rate of 22% and 12%, respectively. We identified 578 SOMAscan analytes dysregulated among MT patients, of which INR-TIC, TEG-TIC, and Clin-TIC patients showed dysregulation only in 25%, 3%, and 4% of these, respectively. TIC definitions jointly failed to show changes in 73% of the protein levels associated with MT, and failed to identify 26% of patients that received a massive transfusion. INR-TIC and TEG-TIC patients showed dysregulation of proteins significantly associated with complement activity. Proteins dysregulated in Clin-TIC or massive transfusion patients were not significantly associated with any pathway. Conclusion: These data indicate there are unexplored opportunities to identify patients at risk for massive bleeding. Only a small subset of proteins that are dysregulated in patients receiving MT are statistically significantly dysregulated among patients whose TIC is defined based solely on laboratory measurements or clinical assessment.

Antidepressant medication to prevent depression relapse in primary care: the ANTLER RCT.

BACKGROUND: There has been a steady increase in the number of primary care patients receiving long-term maintenance antidepressant treatment, despite limited evidence of a benefit of this treatment beyond 8 months. OBJECTIVE: The ANTidepressants to prevent reLapse in dEpRession (ANTLER) trial investigated the clinical effectiveness and cost-effectiveness of antidepressant medication in preventing relapse in UK primary care. DESIGN: This was a Phase IV, double-blind, pragmatic, multisite, individually randomised parallel-group controlled trial, with follow-up at 6, 12, 26, 39 and 52 weeks. Participants were randomised using minimisation on centre, type of antidepressant and baseline depressive symptom score above or below the median using Clinical Interview Schedule - Revised (two categories). Statisticians were blind to allocation for the outcome analyses. SETTING: General practices in London, Bristol, Southampton and York. PARTICIPANTS: Individuals aged 18-74 years who had experienced at least two episodes of depression and had been taking antidepressants for ≥ 9 months but felt well enough to consider stopping their medication. Those who met an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, diagnosis of depression or with other psychiatric conditions were excluded. INTERVENTION: At baseline, participants were taking citalopram 20 mg, sertraline 100 mg, fluoxetine 20 mg or mirtazapine 30 mg. They were randomised to either remain on their current medication or discontinue medication after a tapering period. MAIN OUTCOME MEASURES: The primary outcome was the time, in weeks, to the beginning of the first depressive episode after randomisation. This was measured by a retrospective Clinical Interview Schedule - Revised that assessed the onset of a depressive episode in the previous 12 weeks, and was conducted at 12, 26, 39 and 52 weeks. The depression-related resource use was collected over 12 months from medical records and patient-completed questionnaires. Quality-adjusted life-years were calculated using the EuroQol-5 Dimensions, five-level version. RESULTS: Between 9 March 2017 and 1 March 2019, we randomised 238 participants to antidepressant continuation (the maintenance group) and 240 participants to antidepressant discontinuation (the discontinuation group). The time to relapse of depression was shorter in the discontinuation group, with a hazard ratio of 2.06 (95% confidence interval 1.56 to 2.70; p < 0.0001). By 52 weeks, relapse was experienced by 39% of those who continued antidepressants and 56% of those who discontinued antidepressants. The secondary analysis revealed that people who discontinued experienced more withdrawal symptoms than those who remained on medication, with the largest difference at 12 weeks. In the discontinuation group, 37% (95% confidence interval 28% to 45%) of participants remained on their randomised medication until the end of the trial. In total, 39% (95% confidence interval 32% to 45%) of participants in the discontinuation group returned to their original antidepressant compared with 20% (95% confidence interval 15% to 25%) of participants in maintenance group. The health economic evaluation demonstrated that participants randomised to discontinuation had worse utility scores at 3 months (-0.037, 95% confidence interval -0.059 to -0.015) and fewer quality-adjusted life-years over 12 months (-0.019, 95% confidence interval -0.035 to -0.003) than those randomised to continuation. The discontinuation pathway, besides giving worse outcomes, also cost more [extra £2.71 per patient over 12 months (95% confidence interval -£36.10 to £37.07)] than the continuation pathway, although the cost difference was not significant. CONCLUSIONS: Patients who discontinue long-term maintenance antidepressants in primary care are at increased risk of relapse and withdrawal symptoms. However, a substantial proportion of patients can discontinue antidepressants without relapse. Our findings will give patients and clinicians an estimate of the likely benefits and harms of stopping long-term maintenance antidepressants and improve shared decision-making. The participants may not have been representative of all people on long-term maintenance treatment and we could study only a restricted range of antidepressants and doses. Identifying patients who will not relapse if they discontinued antidepressants would be clinically important. TRIAL REGISTRATION: Current Controlled Trials ISRCTN15969819 and EudraCT 2015-004210-26. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 69. See the NIHR Journals Library website for further project information.

Antidepressants are used to treat depression when someone is unwell, but are also used as maintenance treatment to prevent the reoccurrence of depression. There has been a large increase in the use of long-term maintenance antidepressant treatment, but the evidence for the benefits of maintenance beyond 8 months is very poor. The ANTidepressants to prevent reLapse in dEpRession (ANTLER) trial was a randomised controlled trial that examined the effectiveness of long-term maintenance treatment with antidepressants. The participants were well enough to consider stopping antidepressant medication, were recruited from primary care and had taken antidepressants for ≥ 9 months. In total, 238 participants were randomised to continue taking antidepressants and 240 were randomised to receive a visually identical tablet that contained no active ingredients after a period when the antidepressants were gradually reduced. Neither the participants nor those interviewing them knew which group they had been placed in, and they were followed up for 1 year. Participants who discontinued antidepressants were more likely to experience relapse than those who continued antidepressants. By 52 weeks, 39% of those who continued antidepressants had experienced a relapse, compared with 56% in the group that discontinued antidepressants. In other words, over a 52-week period, one in every six patients who stopped antidepressants would experience a relapse that may not have occurred if they had remained on their antidepressants. Patients in the discontinuation group reported more symptoms of anxiety and depression and experienced more withdrawal symptoms than those in the maintenance group, mostly in the first 3­4 months after stopping the antidepressants. Participants in the discontinuation group also reported lower quality of life than those in the maintenance group but both groups used similar amounts of health-care and social care resources over the 12-month period. About one-third of participants who were allocated to the discontinuation group in the ANTLER trial decided to restart their antidepressants. However, another one-third of participants in that group remained on trial medication for 12 months and managed without antidepressants. Long-term maintenance treatment with antidepressants is effective in reducing the rate of relapses. For those who are considering stopping their antidepressant, our findings will provide estimates of the likely benefits and harms, to improve shared decision-making and support the regular review of long-term antidepressant prescription.

Maintenance or Discontinuation of Antidepressants in Primary Care.

BACKGROUND: Patients with depression who are treated in primary care practices may receive antidepressants for prolonged periods. Data are limited on the effects of maintaining or discontinuing antidepressant therapy in this setting. METHODS: We conducted a randomized, double-blind trial involving adults who were being treated in 150 general practices in the United Kingdom. All the patients had a history of at least two depressive episodes or had been taking antidepressants for 2 years or longer and felt well enough to consider stopping antidepressants. Patients who had received citalopram, fluoxetine, sertraline, or mirtazapine were randomly assigned in a 1:1 ratio to maintain their current antidepressant therapy (maintenance group) or to taper and discontinue such therapy with the use of matching placebo (discontinuation group). The primary outcome was the first relapse of depression during the 52-week trial period, as evaluated in a time-to-event analysis. Secondary outcomes were depressive and anxiety symptoms, physical and withdrawal symptoms, quality of life, time to stopping an antidepressant or placebo, and global mood ratings. RESULTS: A total of 1466 patients underwent screening. Of these patients, 478 were enrolled in the trial (238 in the maintenance group and 240 in the discontinuation group). The average age of the patients was 54 years; 73% were women. Adherence to the trial assignment was 70% in the maintenance group and 52% in the discontinuation group. By 52 weeks, relapse occurred in 92 of 238 patients (39%) in the maintenance group and in 135 of 240 (56%) in the discontinuation group (hazard ratio, 2.06; 95% confidence interval, 1.56 to 2.70; P<0.001). Secondary outcomes were generally in the same direction as the primary outcome. Patients in the discontinuation group had more symptoms of depression, anxiety, and withdrawal than those in the maintenance group. CONCLUSIONS: Among patients in primary care practices who felt well enough to discontinue antidepressant therapy, those who were assigned to stop their medication had a higher risk of relapse of depression by 52 weeks than those who were assigned to maintain their current therapy. (Funded by the National Institute for Health Research; ANTLER ISRCTN number, ISRCTN15969819.).

Transite: A Computational Motif-Based Analysis Platform That Identifies RNA-Binding Proteins Modulating Changes in Gene Expression.

RNA-binding proteins (RBPs) play critical roles in regulating gene expression by modulating splicing, RNA stability, and protein translation. Stimulus-induced alterations in RBP function contribute to global changes in gene expression, but identifying which RBPs are responsible for the observed changes remains an unmet need. Here, we present Transite, a computational approach that systematically infers RBPs influencing gene expression through changes in RNA stability and degradation. As a proof of principle, we apply Transite to RNA expression data from human patients with non-small-cell lung cancer whose tumors were sampled at diagnosis or after recurrence following treatment with platinum-based chemotherapy. Transite implicates known RBP regulators of the DNA damage response and identifies hnRNPC as a new modulator of chemotherapeutic resistance, which we subsequently validated experimentally. Transite serves as a framework for the identification of RBPs that drive cell-state transitions and adds additional value to the vast collection of publicly available gene expression datasets.

Maximizing Synergistic Activity When Combining RNAi and Platinum-Based Anticancer Agents.

RNAi approaches have been widely combined with platinum-based anticancer agents to elucidate cellular responses and to target gene products that mediate acquired resistance. Recent work has demonstrated that platination of siRNA prior to transfection may negatively influence RNAi efficiency based on the position and sequence of its guanosine nucleosides. Here, we used detailed spectroscopic characterization to demonstrate rapid formation of Pt-guanosine adducts within 30 min after coincubation of oxaliplatin [OxaPt(II)] or cisplatin [CisPt(II)] with either guanosine monophosphate or B-cell lymphoma 2 (BCL-2) siRNA. After 3 h of exposure to these platinum(II) agents, >50% of BCL-2 siRNA transcripts were platinated and unable to effectively suppress mRNA levels. Platinum(IV) analogues [OxaPt(IV) or CisPt(IV)] did not form Pt-siRNA adducts but did display decreased in vitro uptake and reduced potency. To overcome these challenges, we utilized biodegradable methoxyl-poly(ethylene glycol)-block-poly(ε-caprolactone)-block-poly(l-lysine) (mPEG-b-PCL-b-PLL) to generate self-assembled micelles that covalently conjugated OxaPt(IV) and/or electrostatically complexed siRNA. We then compared multiple strategies by which to combine BCL-2 siRNA with either OxaPt(II) or OxaPt(IV). Overall, we determined that the concentrations of siRNA (nM) and platinum(II)-based anticancer agents (µM) that are typically used for in vitro experiments led to rapid Pt-siRNA adduct formation and ineffective RNAi. Coincorporation of BCL-2 siRNA and platinum(IV) analogues in a single micelle enabled maximal suppression of BCL-2 mRNA levels (to <10% of baseline), augmented the intracellular levels of platinum (by ∼4×) and the numbers of resultant Pt-DNA adducts (by >5×), increased the cellular fractions that underwent apoptosis (by ∼4×), and enhanced the in vitro antiproliferative activity of the corresponding platinum(II) agent (by 10-100×, depending on the cancer cell line). When combining RNAi and platinum-based anticancer agents, this generalizable strategy may be adopted to maximize synergy during screening or for therapeutic delivery.