Diagnosis Of Unipolar Depression Research Articles

Fibromyalgia in patients with non-psychotic mental disorders: Prevalence, associated factors and validation of a brief screening instrument.

Fibromyalgia (FM) is a chronic pain syndrome associated with significant distress and numerous unpleasant consequences. Mental health problems in people with FM have been reported in many studies. People with mental disorders are thought to be at higher risk of FM than the general population, but the prevalence has not been established. We aimed to investigate the prevalence of FM in a representative sample of inpatients with non-psychotic mental disorders. Additionally, we aimed to assess the psychometric properties of the Fibromyalgia Rapid Screening Tool (FiRST) in the Russian-speaking population of people with mental disorders. Consecutive inpatients admitted to the Moscow Research and Clinical Center for Neuropsychiatry for treatment of non-psychotic mental disorders were evaluated for FM by a neurologist and completed the FiRST, Beck Depression Inventory (BDI), and State and Trait Anxiety Inventory (STAI). Of the 1168 patients evaluated 9.0% met the diagnostic criteria for FM. FM was associated with being female, having a diagnosis of unipolar depression, and having higher total scores on the BDI and STAI. The psychometric properties of the FiRST were good (McDonald's omega 0.79, corrected item-total correlation greater than 0.45). An optimal cut-off point with the highest Yuden's index (J = 0.75) was >3 (AUC of 0.89). FM is a common comorbidity in people with non-psychotic mental disorders, associated with being female, having a diagnosis of unipolar depression, and having more severe anxiety and depression. The FiRST can be used for the FM screening with its cut-off >3 in people with non-psychotic mental disorders. It is the first study to determine the prevalence of FM in people with non-psychotic spectrum mental disorders. The study design included a consecutive sample in a real-life setting to avoid bias. In addition, we evaluated the psychometric properties of the FM screening instrument in a population of people with mental disorders and established the cut-off. The specificity of this subpopulation is explained by both the high prevalence of pain symptoms and the overlap of some psychiatric and FM symptoms.

Abnormal stability of spontaneous neuronal activity as a predictor of diagnosis conversion from major depressive disorder to bipolar disorder

ObjectiveBipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD) in the early stage, which may lead to inappropriate treatment. This study aimed to characterize the alterations of spontaneous neuronal activity in patients with depressive episodes whose diagnosis transferred from MDD to BD. Methods532 patients with MDD and 132 healthy controls (HCs) were recruited over 10 years. During the follow-up period, 75 participants with MDD transferred to BD (tBD), and 157 participants remained with the diagnosis of unipolar depression (UD). After excluding participants with poor image quality and excessive head movement, 68 participants with the diagnosis of tBD, 150 participants with the diagnosis of UD, and 130 HCs were finally included in the analysis. The dynamic amplitude of low-frequency fluctuations (dALFF) of spontaneous neuronal activity was evaluated in tBD, UD and HC using functional magnetic resonance imaging at study inclusion. Receiver operating characteristic (ROC) analysis was performed to evaluate sensitivity and specificity of the conversion prediction from MDD to BD based on dALFF. ResultsCompared to HC, tBD exhibited elevated dALFF at left premotor cortex (PMC_L), right lateral temporal cortex (LTC_R) and right early auditory cortex (EAC_R), and UD showed reduced dALFF at PMC_L, left paracentral lobule (PCL_L), bilateral medial prefrontal cortex (mPFC), right orbital frontal cortex (OFC_R), right dorsolateral prefrontal cortex (DLPFC_R), right posterior cingulate cortex (PCC_R) and elevated dALFF at LTC_R. Furthermore, tBD exhibited elevated dALFF at PMC_L, PCL_L, bilateral mPFC, bilateral OFC, DLPFC_R, PCC_R and LTC_R than UD. In addition, ROC analysis based on dALFF in differential areas obtained an area under the curve (AUC) of 72.7%. ConclusionsThe study demonstrated the temporal dynamic abnormalities of tBD and UD in the critical regions of the somatomotor network (SMN), default mode network (DMN), and central executive network (CEN). The differential abnormal patterns of temporal dynamics between the two diseases have the potential to predict the diagnosis transition from MDD to BD.

A comparative study of electroconvulsive therapy among the elderly and adult patients with depressive disorder

ABSTRACT Aim: The present study aimed to compare the clinical profile, indications for electroconvulsive therapy (ECT), effectiveness of ECT, and complications associated with the use of ECT among elderly and adult patients. Methodology: Using a retrospective study design, data from patients with a diagnosis of unipolar depression, who received ECT between January 2013 and March 2023 was extracted. Based on the age at the time of receiving ECT, the study sample was divided into adult (age <60 years) and elderly (≥60 years) groups and compared. Results: The study included data from 1144 patients with depression. Of them, 371 (32.4%) patients were aged 60 years or above. Compared to the adult group, a significantly higher number of patients in the elderly group were diagnosed with recurrent depressive disorder (P < 0.001), had psychotic symptoms (P < 0.001), and had at least one medical comorbidity. Compared to adult patients, elderly depressed patients had longer total lifetime duration of illness (P < 0.001) and longer duration of current symptoms (P = 0.012). In terms of indications for ECT, the elderly patients had a higher frequency of poor response to the pharmacological treatment (P = 0.003) and a lower frequency of suicidality and attempts at self-harm (P < 0.001). Compared to adults, elderly patients received a higher number of effective ECTs (P = 0.04). There were no differences between the two groups in terms of the reason for stopping ECT and the extent of improvement. However, a higher proportion of the elderly experienced complications related to ECT and received repeat ECT courses (P = 0.003) and continuation ECT (P < 0.001). Conclusion: The present study shows that there are some differences between the elderly and adult patients with depression in terms of indications for ECT, side effects related to ECT, need for multiple courses of ECT, and continuation ECT. However, the efficacy of ECT does not differ between the two groups.

Ciddi Nörolojik Bulgularla Birlikte Giden Lityum Zehirlenmesi Olgusu

Lithium is used for the treatment of bipolar disorder and some other psychiatric disorders. Due to the narrow therapeutic range, intoxications are common. In this case, chronic lithium intoxication with severe neurological symptoms was discussed in light of the literature. A 72-year-old female patient. The patient had been receiving psychiatric treatment for 7 years with the diagnosis of unipolar depression. In the 6th month of lithium use, she was brought by her relatives with complaints of drowsiness, tremor, muscle twitching, and difficulty walking. On examination, consciousness was confused, there was no cooperation orientation and there was general rigidity, tremor, fasciculations, and ataxic gait. Vital signs; blood pressure 147/92 mmHg, heart rate 69 bpm, SpO2: 94%. The laboratory tests: lithium 2.98 mEq/L, potassium 5.8 mmol/l, sodium 129 mmol/l, creatinine 1.66 mg/dl, urea 166 mg/dl. The patient was transferred to the internal medicine clinic with the diagnosis of lithium intoxication. Lithium treatment was discontinued. On the 7th day, her neurological symptoms improved with supportive treatment, and biochemical parameters returned to normal. A lithium concentration of more than 3.5 mEq/L was defined as severe poisoning. Neurological findings are prominent in severe poisonings. Especially, geriatric population is at greater risk. In our case; age, use of three different groups of diuretics as antihypertensive treatment, and urinary tract infection were defined as factors that predispose to poisoning. In this case, it's emphasized that although the lithium blood level isn't very high, severe neurological symptoms can be seen clinically in the presence of risk factors.

Exploring the prevalence of antidepressant medication discontinuation among pregnant veterans.

US female veterans have higher rates of mental health (MH) disorders compared to US civilian females and, consequently, are at risk for poor MH outcomes during pregnancy. This study evaluated the MH burden and identified the prevalence of antidepressant prescription and discontinuation among pregnant veterans (PGVets). The electronic health records (EHR) of PGVets using the US Veterans Administration's (VA) maternity care benefits over a two-year period were retrospectively reviewed. Inclusion criteria for this study were a current MH diagnosis of depression, anxiety, or posttraumatic stress disorder (PTSD) at the onset of pregnancy (n=351). Outcomes examined included antidepressant use prior to pregnancy, the use and discontinuation of antidepressants during pregnancy, and risk factors for discontinuation. PGVets had a high MH burden, as indicated by multiple comorbid diagnoses of unipolar depression, anxiety, and PTSD in 67% of the sample. At the onset of pregnancy, 163 (46%) were treated with an antidepressant. Only 56 (34%) continued using antidepressants through the pregnancy. Self-discontinuation (34%) and VA provider discontinuation (31%) of antidepressants were found. Among PGVets with documented past suicidal behaviors, 90% discontinued their active antidepressants. PGVets with indicators for more severe MH diagnoses were most likely to discontinue. The MH burden of PGVets and high rates of antidepressant discontinuation have implications for engaging this population in a higher level of perinatal monitoring and intervention. The findings suggest that VA providers and veterans would benefit from risks and benefits education regarding antidepressant use during pregnancy as well as the provision of alternative therapies.

Cardiovascular variations in patients with major depressive disorder versus bipolar disorder

BackgroundDifferentiating depression in major depressive disorder and bipolar disorder is challenging in clinical practice. Therefore, reliable biomarkers are urgently needed to differentiate between these diseases. This study's main objective was to assess whether cardiac autonomic function can distinguish patients with unipolar depression (UD), bipolar depression (BD), and bipolar mania (BM). MethodsWe recruited 791 patients with mood disorders, including 191 with UD, 286 with BD, and 314 with BM, who had been drug free for at least 2 weeks. Cardiovascular status was measured using heart rate variability (HRV) and pulse wave velocity (PWV) indicators via finger photoplethysmography during a 5-min rest period. ResultsPatients with BD showed lower HRV but higher heart rates than those with UD and BM. The PWV indicators were lower in the UD group than in the bipolar disorder group. The covariates of age, sex, and body mass index affected the cardiovascular characteristics. After adjusting for covariates, the HRV and PWV variations among the three groups remained significant. Comparisons between the UD and BD groups showed that the variable with the largest effect size was the frequency-domain indices of HRV, very low and high frequency, followed by heart rate. The area under the receiver operating characteristic curve (AUC) for each cardiovascular variable ranged from 0.661 to 0.714. The High-frequency index reached the highest AUC.Limitations.Cross-sectional design and the magnitude of heterogeneity across participants with mood disorders limited our findings. ConclusionPatients with BD, but not BM, had a greater extent of cardiac imbalance than those with UD. Thus, HRV may serve as a psychophysiological biomarker for the differential diagnosis of UD and BD.

Characterizing Unipolar and Bipolar Depression by Alterations in Inflammatory Mediators and the Prefrontal-Limbic Structural Network

Objective. The prefrontal-limbic system is closely associated with emotion processing in both unipolar depression (UD) and bipolar depression (BD). Evidence for this link is derived mostly from task-fMRI studies, with limited support from structural findings. Therefore, this study explores the differences in the emotional circuit in these two disorders on a structural, large-scale network basis, coupled with the highly noted inflammatory and growth factors. Methods. In this study, 31 BD patients, 37 UD patients, and 61 age-, sex-, and education-matched healthy controls (HCs) underwent diffusion-weighted imaging (DWI) scanning and serum cytokine sampling. The study compared cytokine levels and prefrontal-limbic network alterations among the three groups and explored potential biological and neurobiological markers to distinguish the two disorders using graph theory, network-based statistics (NBS), and logistic regression. Results. Compared to BD patients, UD patients showed greater s-100β protein levels, higher efficiency of the right amygdala, and significantly elevated prefrontal-cingulate-amygdala subnetwork intensity. Importantly, the altered prefrontal-cingulate-amygdala subnetwork, nodal efficiency of the right amygdala, IL-8, IL-17, and s-100β levels were risk factors for the diagnosis of UD, whereas anxiety symptoms tended to closely correlate with BD. Moreover, binary logistic regression manifested these factors achieved an area under the curve (AUC) of the receiver operating characteristics (ROC) of 0.949, with 0.875 sensitivity and 0.938 specificity in UD vs. BD classification. Conclusions. These findings narrow the gap in the structural network of emotional circuits in bipolar and unipolar depression, pointing to distinct emotion-processing mechanisms in both disorders.

Optimizing multi-domain hematologic biomarkers and clinical features for the differential diagnosis of unipolar depression and bipolar depression

There is a lack of objective features for the differential diagnosis of unipolar and bipolar depression, especially those that are readily available in practical settings. We investigated whether clinical features of disease course, biomarkers from complete blood count, and blood biochemical markers could accurately classify unipolar and bipolar depression using machine learning methods. This retrospective study included 1160 eligible patients (918 with unipolar depression and 242 with bipolar depression). Patient data were randomly split into training (85%) and open test (15%) sets 1000 times, and the average performance was reported. XGBoost achieved the optimal open-test performance using selected biomarkers and clinical features—AUC 0.889, sensitivity 0.831, specificity 0.839, and accuracy 0.863. The importance of features for differential diagnosis was measured using SHapley Additive exPlanations (SHAP) values. The most informative features include (1) clinical features of disease duration and age of onset, (2) biochemical markers of albumin, low density lipoprotein (LDL), and potassium, and (3) complete blood count-derived biomarkers of white blood cell count (WBC), platelet-to-lymphocyte ratio (PLR), and monocytes (MONO). Overall, onset features and hematologic biomarkers appear to be reliable information that can be readily obtained in clinical settings to facilitate the differential diagnosis of unipolar and bipolar depression.

Depression and suicidal ideation among Pakistani rural areas women during flood disaster

Whether a history of premenstrual dysphoric disorder (PMDD) is associated with a subsequent risk of major affective disorders remains unclear. This study aimed to examine the risk of unipolar depression and bipolar disorder in women with PMDD compared with those without PMDD. This study used data from the Taiwan National Health Insurance Research Database. Women who were diagnosed with PMDD and had no history of any major affective disorder were included. The controls were women without PMDD matched for demographics and physical and psychiatric comorbidities. Cox regression was used to estimate the risk of unipolar depression and bipolar disorder. We included 8222 women with PMDD and 32,888 matched controls. After adjusting for potential confounders, we found that the women with PMDD were associated with a higher risk of unipolar depression [hazard ratio (HR) 2.58; 95 % confidence interval (CI), 2.23–2.98] and bipolar disorder (HR 2.50; 95 % CI 1.62–3.88) than the controls. The PMDD group had a younger age at the diagnosis of unipolar depression (37.11 vs 41.59 years) and bipolar disorder (35.59 vs 42.02 years, p = 0.002), and shorter duration between enrollment and onset of unipolar depression (2.97 vs 5.33 years, p < 0.001) and bipolar disorder (3.05 vs 5.57 years, p < 0.001). Our results showed a strong association between PMDD and major affective disorders. Healthcare workers should be aware of patients with PMDD and the risk of developing major affective mental disorders.

Risks of major affective disorders following a diagnosis of premenstrual dysphoric disorder: A nationwide longitudinal study.

Whether a history of premenstrual dysphoric disorder (PMDD) is associated with a subsequent risk of major affective disorders remains unclear. This study aimed to examine the risk of unipolar depression and bipolar disorder in women with PMDD compared with those without PMDD. This study used data from the Taiwan National Health Insurance Research Database. Women who were diagnosed with PMDD and had no history of any major affective disorder were included. The controls were women without PMDD matched for demographics and physical and psychiatric comorbidities. Cox regression was used to estimate the risk of unipolar depression and bipolar disorder. We included 8222 women with PMDD and 32,888 matched controls. After adjusting for potential confounders, we found that the women with PMDD were associated with a higher risk of unipolar depression [hazard ratio (HR) 2.58; 95% confidence interval (CI), 2.23-2.98] and bipolar disorder (HR 2.50; 95% CI 1.62-3.88) than the controls. The PMDD group had a younger age at the diagnosis of unipolar depression (37.11 vs 41.59 years) and bipolar disorder (35.59 vs 42.02 years, p=0.002), and shorter duration between enrollment and onset of unipolar depression (2.97 vs 5.33 years, p<0.001) and bipolar disorder (3.05 vs 5.57 years, p<0.001). Our results showed a strong association between PMDD and major affective disorders. Healthcare workers should be aware of patients with PMDD and the risk of developing major affective mental disorders.

Early-Onset Type 2 Diabetes and Mood, Anxiety, and Stress-Related Disorders: A Genetically Informative Register-Based Cohort Study.

To assess the association and familial coaggregation between early-onset type 2 diabetes (diagnosed before age 45 years) and mood, anxiety, and stress-related disorders and estimate the contribution of genetic and environmental factors to their co-occurrence. This population-based cohort study included individuals born in Sweden during 1968-1998, from whom pairs of full siblings, half-siblings, and cousins were identified. Information on diagnoses of early-onset type 2 diabetes and mood (including unipolar depression and bipolar disorder), anxiety, and stress-related disorders was obtained from the National Patient Register. Logistic and Cox regression models were used to assess the phenotypic association and familial coaggregation between type 2 diabetes and psychiatric disorders. Quantitative genetic modeling was conducted in full and maternal half-sibling pairs to estimate the relative contributions of genetic and environmental factors to the association. Among a total of 3,061,192 individuals, 7,896 (0.3%) were diagnosed with early-onset type 2 diabetes. These individuals had higher risks of any diagnosis (odds ratio [OR] 3.62 [95% CI 3.44, 3.80]) and specific diagnosis of unipolar depression (3.97 [3.75, 4.22]), bipolar disorder (4.17 [3.68, 4.73]), anxiety (3.76 [3.54, 3.99]), and stress-related disorders (3.35 [3.11, 3.61]). Relatives of individuals with early-onset type 2 diabetes also had higher overall risks of the examined psychiatric disorders (ORs 1.03-1.57). These associations are largely explained by genetic factors (51-78%), with the rest explained by nonshared environmental factors. Our findings highlight the burden of mood, anxiety, and stress-related disorders in early-onset type 2 diabetes and demonstrate that shared familial liability may contribute to their co-occurrence, suggesting that in the future research investigators should aim to identify shared risk factors and ultimately refine preventive and intervention strategies.

La investigación sobre el tratamiento de depresión con base en registros de historia clínica: análisis de una experiencia en un hospital universitario

IntroductionIn Latin America, there are few publications on depression, especially those based on electronic health records (EHR), a useful resource for obtaining information on patient care in the context of health systems. The objective of the study was to characterize the population with depression, taking into account sociodemographic, clinical, and pharmacological management aspects, based on information provided by the EHRs in a high complexity hospital in Cali, Colombia. MethodsRetrospective descriptive study, based on medical history records of patients with a diagnosis of unipolar depression treated for the first time. A sample of 31 patients with at least three follow-up visits was analysed; sociodemographic, clinical, and treatment variables were collected. ResultsThe population was mostly women (67.7%), with a mean age of 49 years. One in every two patients had a job, an opportunity for direct access through their health plan and university education. Twenty patients had a history of mental illness. 84.3% had a moderate or severe depressive episode, 87.1% were exposed to psychosocial and 80.6% biological-medical stressors. Twenty-seven patients had started antidepressant management. Approximately 30% of cases were identified as treatment-resistant depression. Barriers to accessing mental health services and to accessing the information in the EHRs were evidenced. ConclusionsEHRs are a useful tool for accessing information for research on depression, relationship with other comorbidities, care, and treatment. It is proposed that adjustments be made to the clinical registry platforms that allow access to quality information for research purposes.

UNIPOLAR DEPRESSION TO BIPOLAR DISORDER CONVERSION

Bipolar disorder cases have increased compared to a decade ago. It is thought that this increase is the result of a high number of bipolar patients who were not recognized early on because bipolar and unipolar depression is difficult to distinguish from one another. In addition, this problem also gave rise to the hypothesis that unipolar depression could develop into bipolar disorder. Therefore, the diagnosis conversion of unipolar depresion into bipolar disorder and its predictor needs to be studied further. Literature review by using several literatures between 2011-2021 that discuss about unipolar depresion, bipolar disorder, diagnosis conversion, and factors that influence the conversion of unipolar depression diagnosis into bipolar disorder. Diagnosis of unipolar depression can turn into bipolar disorder. This may be due to failure to differentiate unipolar and bipolar depressive episodes, strict diagnostic criteria, failure to recognize history of hypomania/mania, or due to the genuine progression of the disorders. This problem leads to the provision of inappropriate therapy for patients that trigger disease progression and worsen the prognosis. One of the anticipations that can be done is to explore the presence of conversion predictor factor. It includes the age of onset &lt;25 years, bipolar family history, patient’s course of depression (high recurrence, short duration, moderate to severe depression, hypersomnia, psychomotor retardation, psychosis symptoms, postpartum depression), resistance to antidepressants, antidepressant-induced hypomania/mania, and the presence of subthreshold mania. If these factors are found, the patient should be closely monitored and therapy adjustment may be required. Keywords: bipolar disorder, conversion, predictor, unipolar depression.

Randomized, Placebo-Controlled Effectiveness Study of Quetiapine XR in Comorbid Depressive and Anxiety Disorders.

Objective: Quetiapine is approved as an adjunctive treatment for major depressive disorder (MDD) and as monotherapy for bipolar depression. It is often used off-label for treating anxiety conditions and as an augmentation agent for treatment-resistant depression. However, its benefit in depression with comorbid anxiety disorders has not been systematically evaluated. The current study evaluated the benefit and tolerability of quetiapine as augmentation to first-line antidepressants for MDD comorbid with anxiety disorders.Methods: In this multicenter trial (June 2008-June 2013), 76 adults (aged 18-65 years) with a primary diagnosis of unipolar depression comorbid with at least 1 anxiety disorder (per DSM-IV-TR criteria) received flexible-dose quetiapine extended-release (XR) 50-300 mg/d or placebo as add-on for 12 weeks in a 2:1 ratio. Depression, anxiety, life satisfaction, and adverse events were assessed.Results: Depression, anxiety, and function improved significantly in both groups. On primary outcome measures, quetiapine was superior to placebo in improving depression (17-item Hamilton Depression Rating Scale score: mean difference = -3.64; 95% CI, -7.01 to -0.27) and anxiety symptoms (Hamilton Anxiety Rating Scale score: mean difference = -4.02; 95% CI, -7.41 to -0.64), as well as Clinical Global Impressions-Severity of Illness scale score (mean difference = -0.64; 95% CI, -1.13 to -0.15). On secondary measures including the Montgomery-Asberg Depression Rating Scale, Beck Depression Inventory, Penn State Worry Questionnaire, and Quality of Life Satisfaction and Enjoyment Questionnaire, quetiapine produced a greater degree of improvement compared to placebo, but group differences were not statistically significant. Quetiapine was well tolerated, with mostly minor and no serious adverse effects.Conclusions: Quetiapine augmentation may be a useful intervention for MDD with comorbid anxiety.Trial Registration: ClinicalTrials.gov Identifier: NCT00688818.

Whole-Brain Functional Connectivity Dynamics Associated With Electroconvulsive Therapy Treatment Response

BackgroundDepressive episodes (DEPs), characterized by abnormalities in cognitive functions and mood, are a leading cause of disability. Electroconvulsive therapy (ECT), which involves a brief electrical stimulation of the anesthetized brain, is one of the most effective treatments used in patients with DEP due to its rapid efficacy. MethodsIn this work, we investigated how dynamic brain functional connectivity responds to ECT and whether the dynamic responses are associated with treatment outcomes and side effects in patients. We applied a fully automated independent component analysis–based pipeline to 110 patients with DEP (including diagnosis of unipolar depression or bipolar depression) and 60 healthy control subjects. The dynamic functional connectivity was analyzed by a combination of the sliding window approach and clustering analysis. ResultsFive recurring connectivity states were identified, and patients with DEPs had fewer occurrences in one brain state (state 1) with strong positive and negative connectivity. Patients with DEP changed the occupancy of two states (states 3 and 4) after ECT, resulting in significantly different occurrences of one additional state (state 3) compared with healthy control subjects. We further found that patients with DEP had diminished global metastate dynamism, two of which recovered to normal after ECT. The changes in dynamic connectivity characteristics were associated with the changes in memory recall and Hamilton Depression Rating Scale of DEP after ECT. ConclusionsThese converging results extend current findings on subcortical-cortical dysfunction and dysrhythmia in DEP and demonstrate that ECT might cause remodeling of brain functional dynamics that enhance the neuroplasticity of the diseased brain.

The acute effects of aerobic exercise on sleep in patients with unipolar depression: a randomized controlled trial.

Study ObjectivesInsomnia increases the risk of negative disease trajectory, relapse, and suicide in patients with depression. We aimed at investigating the effects of a single bout of aerobic exercise, performed after 02:00 pm, on the subsequent night’s sleep in patients with depression.MethodsThe study was designed as a two-arm parallel-group, randomized, outcome assessor-blinded, controlled, superiority trial. Patients between 18 and 65 years of age with a primary diagnosis of unipolar depression were included. The intervention was a single 30-minute bout of moderate aerobic exercise. The control group sat and read for 30 minutes. The primary outcome was sleep efficiency measured by polysomnography. Secondary outcomes were other polysomnographic variables, subjective sleep quality, daytime sleepiness, mood states, and adverse events.ResultsNinety-two patients were randomized to the exercise (N = 46) or control group (N = 46). There were no clinically relevant differences at baseline. Intent-to-treat analysis ANCOVA of follow-up sleep efficiency, adjusted for baseline levels and minimization factors, did not detect a significant effect of the allocation (β = −0.93, p = 0.59). There was no evidence for significant differences between both groups in any other objective or subjective sleep outcomes, daytime sleepiness, or adverse events. The intervention had an immediate positive effect on mood states, including depressiveness (β = −0.40, p = 0.003).ConclusionsThis is the first trial to study the effects of a single bout of aerobic exercise on sleep in patients with depression to the best of our knowledge. Aerobic exercise had no effect on sleep efficiency but had a strong beneficial effect on mood and did not increase adverse outcomes. These results add to the growing body of evidence that, contrary to sleep hygiene recommendations, exercise after 02:00 pm is not detrimental for sleep.Clinical Trial RegistrationClinicaltrials.gov, https://clinicaltrials.gov/ct2/show/NCT03673397. Protocol registered on September 17, 2018.

Alcohol use disorder as a warning sign for depressive disorders in acute psychiatric care? hospitalization demographics in arad (ROMANIA)

IntroductionScreening for psychiatric disorders is the job of primary care providers. As such, general practice residents spend one month on psychiatry rotation. During which, they need to familiarize with the diagnostic and treatment of mental disorders. Since depressive disorders in early stages can be easily overlooked by the untrained eye, we set out to analyse the demographic particularities of our patients.ObjectivesThe objective of our study was to analyze demographic characteristics of patients hospitalised on Acute Inpatient Psychiatry Ward with unipolar depression and to identify the specific warning signs, later to be used for an awareness campaign addressed to family medicine residents.MethodsData was collected from Acute Inpatient Psychiatry Ward of Arad County Emergency Clinical Hospital (Romania) between 1th January 2019 and 30th September 2020. We included every patient who was discharged with unipolar depression diagnosis according to ICD-10 criterias(F32-F33). Every patient was included only once. In cases of multiple hospitalisations, we included the most severe episode. If the severity of episodes was similar, the longest hospitalisation from the selected period. The data analysis accomplished in Microsoft Excel2010.ResultsA number of 344 patients were included in our analysis (175 male, 169 female). Their presumptive diagnosis upon hospitalisation: Depressive Episode(F32)-32.3%, Recurring Depression(F33)-32,3%, Alcohol Use Disorder(F10)-23,8%, Suicid Attempt(X61-80)-7,0%, Other Psychiatric Disorders(F06,F20-23), Other Substance Use Disorder(F19)-0,6%. From 82 patients with presumptive diagnosis of Alcohol Use Disorder and definitive diagnosis of Depressive Disorder, 90,2% were male.ConclusionsIn primary practice alcohol misuse can be objectively spotted. Awareness is needed to investigate a possibly underlying depressive disorder.

Medical diseases prior to first-time depression diagnosis and subsequent risk of admissions for depression: A nationwide study of 117,585 patients

BackgroundMedical diseases and depression frequently co-occur, but it remains uncertain whether specific medical diseases or the disease load, affect the clinical course of depression. MethodsWe identified all adults (≥18 years) at their first hospital-based diagnosis of unipolar depression in Denmark between 1996 and 2015. All medical hospital contacts since 1977 and all drug prescriptions during the previous year were identified. We followed patients for up to five years regarding hospital admissions with depression and performed adjusted Cox regression analyses calculating hazard rate ratios (HRR) including 95%-confidence intervals (CI) to test the association between medical diseases and depression admission following the index depressive episode. ResultsAmong 117,585 patients with depression (444,696 person-years follow-up), any prior medical hospital contact (N = 114,206; 97.1%) was associated with increased risks of admission for depression among individuals aged 18–30 (HRR=1.50; 95%CI=1.15–1.95), 31–65 (HRR=1.69; 95%CI=1.28–2.21), and >65 years (HRR=1.38; 95%CI=1.10–1.75), fitting a dose-response relationship (p<0.005) with increasing number of prior medical diseases among those aged <65. All specific medical diseases were associated with increased risks of admission for depression, particularly among individuals aged<65 (HRR ranging from 1.57 to 2.38). Drug prescriptions and medical hospital contacts in the year before the depression diagnosis were associated with reduced risks of admission. ConclusionThe medical load seems to be associated with an increased risk for depression admission, particularly among individuals aged <65. The lower risk for people in medical care during the previous year may indicate better compliance and care/treatment.

Suicidal ideation and attempts in unipolar versus bipolar depression: analysis of 131,740 adolescent inpatients nationwide

Objective To evaluate the risk of suicidal ideation and suicidal attempt in adolescents with unipolar depression (UD) versus bipolar depression (BD).Method We included 131,740 adolescents (12-17y), with primary diagnoses of UD (92.6%) and BD (7.4%) from the nationwide inpatient sample. We calculated odds ratio (OR) for suicidal behaviors using logistic regression adjusted for demographic confounders and comorbidities.Results Suicidal ideation and suicidal attempt were seen in 14.5% and 38.6% respectively of total inpatients and both were seen in higher proportion of UD. Females have higher odds for suicidal attempt (OR 1.13, 95%CI 1.09–1.16) compared to males. After adjusting for confounders, UD had a marginally higher odds (OR 1.06, 95%CI 1.02–1.11) of suicidal attempt and 1.2 times higher odds (95%CI 1.11–1.26) of suicidal ideation compared to BD. Among adolescents with suicidal attempt, 93.2% had bipolar depression and 6.8% had unipolar depression.The majority of suicidal attempt in the inpatient setting was seen in females, with bipolar depression (74.6% vs. 67.3% in unipolar).Conclusion Our finding is clinically relevant and accentuates the need for early identification of BD, accurate differentiation of UD versus BD for targeted and adequate treatment to minimize suicidal behaviors, treat and manage them per treatment guidelines, and evolving research.

T109. TRAVERSING THE TRANSDIAGNOSTIC GAP BETWEEN DEPRESSION, MANIA AND PSYCHOSIS WITH NATURAL LANGUAGE PROCESSING

BackgroundThe biological, clinical and social factors which underpin the aetiology of psychotic disorders are known to overlap between different ICD-10/DSM-5 diagnostic categories. A transdiagnostic approach to investigate clinical phenotype may enable a better understanding of pathophysiology at individual patient level. We applied natural language processing (NLP) tools to electronic health record (EHR) data from patients presenting with an ICD-10 diagnosis of unipolar depression to determine if symptoms at diagnosis could predict subsequent onset of a bipolar or psychotic disorder.MethodsData were obtained from 20,582 adults presenting with unipolar depression (ICD-10 F32 or F33, excluding F32.3 and F33.3) to the South London and Maudsley (SLaM) NHS Foundation Trust between April 2006 and March 2018.Natural language processing (NLP) techniques were used to extract data on 21 mood and affective symptoms from free text clinical assessments documented in the period -3/+3 months from the date of the diagnosis of unipolar depression. We obtained descriptive analyses of demographics and symptom prevalence.Symptoms were categorised into four groups: 1. Depressive (low mood, anhedonia, feelings of guilt, hopelessness, helplessness, psychomotor retardation, worthlessness, tearfulness, low energy), 2. Manic (elation, grandiosity, pressured speech, flight of ideas), 3. Biological symptoms (insomnia, disturbed sleep, low appetite, weight loss, poor concentration) and 4. Emotional/behavioural symptoms (mood instability, agitation, irritability). The symptom network structure was estimated using the Enhanced Least Absolute Shrinkage and Selection Operation procedure. We assessed network stability via a case-dropping bootstrapping procedure.We investigated associations between each of the four symptom groups and clinical outcomes using multivariable Cox regression to predict five-year risk of bipolar disorder (ICD-10 F30/F31) or a psychotic disorder (ICD-10 F2*).ResultsOf all patients presenting with unipolar depression, 19,569 (95.1%) had at least one documented depressive symptom, 16,199 (78.7%) had at least one biological symptom, 10,006 (48.6%) had at least one emotional/behavioural symptom, and 1,372 (6.67%) had at least one manic symptom. Patients with at least one manic symptom were significantly more likely to be male (OR: 1.25 (95% CI 1.12 - 1.40), p < 0.001) and less likely to be of Black (OR: 0.80 (0.68 - 0.93), p = 0.004) or Other ethnicity (OR: 0.78 (0.66 - 0.91), p = 0.003). Elation was the most commonly reported manic symptom (3.17%). Network analysis revealed that the presence of manic symptoms was associated with co-occurrence of agitation, irritability and mood instability. Agitation was the most central symptom in terms of strength, betweenness and expected influence. The resulting network remained stable after dropping up to 33% of cases from the sample.1,861 (9.04%) patients who initially presented with unipolar depression subsequently developed a mania/bipolar disorder or psychotic disorder within 5 years. The presence of at least one manic (HR: 1.71, 1.50 – 1.97), biological (HR: 1.33, 1.16 – 1.53) or emotional (HR: 1.91, 1.73 – 2.13) symptom was associated with significantly increased risk of onset of a bipolar or psychotic disorder.DiscussionWe found that patients with unipolar depression have a heterogenous clinical phenotype with a significant proportion going on to develop a bipolar or psychotic disorder within 5 years. Symptoms extracted from the EHR using NLP were predictive of subsequent onset of a bipolar or psychotic disorder. A transdiagnostic approach to defining clinical phenotype may help to better predict subsequent clinical outcomes.