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BACKGROUND: Maternal childhood maltreatment (CM) has been repeatedly associated with negative offspring's emotional outcomes. The dysregulation of the Hypothalamic-Pituitary-Adrenal (HPA) axis has emerged as the main underlying physiological mechanism. OBJECTIVE: To explore the association between maternal CM and newborns' physiological and neurobehavioral stress responses, considering the role of perinatal maternal depression and bonding. PARTICIPANTS AND SETTING: 150 healthy women were followed throughout pregnancy. 79 mother-infant dyads were included in the final analyses. Maternal CM was evaluated using the Childhood Trauma Questionnaire and depressive symptoms by the Edinburgh Postnatal Depression Scale (EPDS) at each trimester. At 7 weeks postpartum, the EPDS and the Postpartum Bonding Questionnaire were administered. Newborns' behavioral responses were assessed using "States Organization" (SO) and "States Regulation" (SR) subdomains of the Neonatal Behavioral Assessment Scale (NBAS). Newborns' salivary samples were collected before and after the NBAS to study cortisol reactivity. METHODS: A cross-lagged panel model was employed. RESULTS: Infants born to mothers with higher CM presented more optimal scores on SO (ß (0.635) = 0.216, p ã001) and SR (ß (0.273) = 0.195, p = .006), and a higher cortisol reactivity after NBAS handling (ß(0.019) = 0.217, p = .009). Moreover, newborns of mothers with higher CM and postpartum depressive symptoms exhibited a poorer performance on SR (ß (0.156 = -0.288,p = .002). Analyses revealed non-significant relationships between mother-infant bonding, newborns' cortisol reactivity and SO. CONCLUSIONS: Newborns from mothers with greater CM present higher cortisol reactivity and more optimal behavioral responses, which may reflect a prenatal HPA axis sensitization. However, those exposed to maternal postnatal depressive symptoms present poorer stress recovery.
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Background: Child maltreatment is associated with a higher probability of mental disorders and suicidal behavior in adolescence. Therefore, accurate psychometric instruments are essential to assess this. Objective: To validate the Spanish version of the Childhood Trauma Questionnaire-Short Form (CTQ-SF) in adolescents with suicide attempts. Methods: Multisite cohort study of 208 adolescents with suicide attempts using data from the following scales: Mini International Neuropsychiatric Interview (MINI), Columbia Suicide Severity Rating Scale (C-SSRS), Patient Health Questionnaire (PHQ-9), and CTQ-SF. Statistical analysis: CTQ-SF scores analyzed by descriptive statistics. Internal consistency: McDonald's omega and Cronbach's alpha. Concurrent validity with PHQ-9 and C-SSRS scores: Spearman correlation coefficient. Structural validity: Confirmatory factor analysis. Results: Floor and ceiling effects: Physical abuse and neglect as well as sexual abuse demonstrated high floor effects (50.0, 35.1, and 61.1% of adolescents, respectively). No ceiling effects were found. The CTQ-SF had excellent internal consistency (McDonald's omega = 0.94), as did the majority of its subscales (Cronbach's alpha 0.925-0.831) except for physical neglect (0.624). Its concurrent validity was modest, and the emotional neglect subscale had the lowest Spearman correlation coefficients (0.067-0.244). Confirmatory factor analysis: Compared with alternative factor structures, the original CTQ-SF model (correlated 5-factor) exhibited a better fit [S-B χ 2 = 676.653, p < 0; RMSEA (90% CI = 0.076-0.097) = 0.087; SRMR = 0.078; CFI = 0.980; TLI = 0.978]. Conclusion: The Spanish CTQ-SF is a reliable, valid instrument for assessing traumatic experiences in adolescents at high risk of suicide. It appears appropriate for use in routine clinical practice to monitor maltreatment in this group.
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Functioning is a fundamental dimension across all aspects of life, frequently compromised or reduced in individuals with schizophrenia. However, the lack of a commonly agreed definition of functioning in schizophrenia makes it difficult to apply this concept in clinical practice. In this document, we make a detailed analysis of the literature to identify and define functioning and describe how it can be used in clinical practice today. We performed a preliminary literature search in the MEDLINE database (via PubMed) for articles discussing functioning in schizophrenia. The articles retrieved were then read and discussed by a panel of psychiatrists specialising in schizophrenia. The conclusions reached in this meeting formed the basis for a new exhaustive literature search for the purpose of synthesising the evidence published in the past 5 years. In this article, we show the importance a comprehensive, modern, homogeneous definition of functioning in schizophrenia, propose a definition of functioning, and put forward a series of recommendations for assessing functioning in clinical practice. We also review current unmet needs and highlight the need for a standardised tool for evaluating functioning.
Subject(s)
Schizophrenia , Humans , Schizophrenia/physiopathology , Schizophrenic Psychology , Psychosocial FunctioningABSTRACT
Background: Cognitive impairment is a widespread feature of schizophrenia, affecting nearly 80 % of patients. Prior research has linked the anticholinergic burden of psychiatric medications to these cognitive deficits. However, the impact of the anticholinergic burden from medications for physical morbidity remains underexplored. This study aimed to evaluate the anticholinergic burden of psychiatric and physical medications in patients with schizophrenia and assess its impact on cognitive function. Methods: A total of 178 patients with schizophrenia were recruited. The assessments included an ad hoc questionnaire for collecting demographic and clinical data. Anticholinergic burden was evaluated using the cumulative Drug Burden Index (cDBI) for each participant, and cognitive function was assessed using MATRICS. Psychopathology was measured using the PANSS, CDSS, CAINS, and the CGI-S. Statistical analysis included Student's t-tests, ANOVA, Pearson correlations, and multiple linear regressions. Results: The average cDBI was 1.3 (SD = 0.9). The model developed explained 40.80 % of the variance. The variable with the greatest weight was the cDBI (B = -11.148, p = 0.010). Negative-expression (B = -2.740, p = 0.011) and negative-experiential (B = -1.175, p = 0.030) symptoms were also associated with lower global cognitive score. However, more years of education (B = 5.140, p < 0.001) and cigarettes per day (B = 1.331, p < 0.001) predicted a better global cognitive score. Conclusion: This study identified specific predictors of global cognition in schizophrenia, with anticholinergic burden emerging as the strongest factor. Our findings underscore the importance of considering the anticholinergic burden of treatments, in addition to negative symptoms, when designing interventions to optimize or maintain cognitive function in patients with schizophrenia.
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Lithium (Li) is the first-line treatment for bipolar disorder (BD) even though only 30 % of BD patients are considered excellent responders. The mechanisms by which Li exerts its action are not clearly understood, but it has been suggested that specific epigenetic mechanisms, such as methylation processes, may play a role. In this regard, DNA methylation patterns can be used to estimate epigenetic age (EpiAge), which is accelerated in BD patients and reversed by Li treatment. Our first aim was to compare the DNA methylation profile in peripheral blood between BD patients categorized as excellent responders to Li (Ex-Rp) and non-responders (N-Rp). Secondly, EpiAge was estimated to detect differential age acceleration between the two groups. A total of 130 differentially methylated positions (DMPs) and 16 differentially methylated regions (DMRs) between Ex-Rp (n = 26) and N-Rp (n = 37) were identified (FDR adjusted p-value < 0.05). We found 122 genes mapping the DMPs and DMRs, nine of which (HOXB6, HOXB3, HOXB-AS3, TENM2, CACNA1B, ANK3, EEF2K, CYP1A1, and SORCS2) had previously been linked to Li response. We found genes related to the GSK3ß pathway to be highly represented. Using FUMA, we found enrichment in Gene Ontology Cell Component for the synapse. Gene network analysis highlighted functions related to the cell cycle, nervous system development and function, and gene expression. No significant differences in age acceleration were found between Ex-Rp and N-Rp for any of the epigenetic clocks analysed. Our findings indicate that a specific methylation pattern could determine the response to Li in BD patients. We also found that a significant portion of the differentially methylated genes are closely associated with the GSK3ß pathway, reinforcing the role of this system in Li response. Future longitudinal studies with larger samples will help to elucidate the epigenetic mechanisms underlying Li response.
Subject(s)
Aging , Bipolar Disorder , DNA Methylation , Epigenesis, Genetic , Humans , Bipolar Disorder/genetics , Bipolar Disorder/drug therapy , DNA Methylation/drug effects , Female , Epigenesis, Genetic/drug effects , Epigenesis, Genetic/genetics , Male , Adult , Middle Aged , Aging/genetics , Epigenome/genetics , Antimanic Agents/therapeutic use , Lithium Compounds/therapeutic use , Lithium Compounds/pharmacologyABSTRACT
BACKGROUND: One of the challenges of psychiatry is the staging of patients, especially those with severe mental disorders. Therefore, we aim to develop an empirical staging model for schizophrenia. METHODS: Data were obtained from 212 stable outpatients with schizophrenia: demographic, clinical, psychometric (PANSS, CAINS, CDSS, OSQ, CGI-S, PSP, MATRICS), inflammatory peripheral blood markers (C-reactive protein, interleukins-1RA and 6, and platelet/lymphocyte [PLR], neutrophil/lymphocyte [NLR], and monocyte/lymphocyte [MLR] ratios). We used machine learning techniques to develop the model (genetic algorithms, support vector machines) and applied a fitness function to measure the model's accuracy (% agreement between patient classification of our model and the CGI-S). RESULTS: Our model includes 12 variables from 5 dimensions: 1) psychopathology: positive, negative, depressive, general psychopathology symptoms; 2) clinical features: number of hospitalizations; 3) cognition: processing speed, visual learning, social cognition; 4) biomarkers: PLR, NLR, MLR; and 5) functioning: PSP total score. Accuracy was 62% (SD = 5.3), and sensitivity values were appropriate for mild, moderate, and marked severity (from 0.62106 to 0.6728). DISCUSSION: We present a multidimensional, accessible, and easy-to-apply model that goes beyond simply categorizing patients according to CGI-S score. It provides clinicians with a multifaceted patient profile that facilitates the design of personalized intervention plans.
Subject(s)
Schizophrenia , Humans , Schizophrenia/classification , Schizophrenia/diagnosis , Schizophrenia/blood , Male , Female , Adult , Middle Aged , Internet , Severity of Illness Index , Machine Learning , Biomarkers/blood , Psychometrics , Psychiatric Status Rating Scales/standardsABSTRACT
BACKGROUND: The COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations. METHODS: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them. RESULTS: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use. CONCLUSIONS: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research. LIMITATIONS: Online data collection may have resulted in the underrepresentation of certain population groups.
Subject(s)
COVID-19 , Substance-Related Disorders , Humans , Female , Male , COVID-19/epidemiology , Mental Health , Pandemics , Population Groups , Vulnerable Populations , Communicable Disease Control , Substance-Related Disorders/epidemiology , Depression/epidemiologyABSTRACT
INTRODUCTION: Although there is evidence that higher cognitive reserve (CR) is a protective factor and it has been related to better prognosis, there have been no studies to date that have explored the CR level and its impact in clinical, neurocognitive and lifestyle outcomes according to the stage of the disease: early stage of psychosis (ESP) or chronic schizophrenia (SCZ). MATERIAL AND METHODS: A total of 60 patients in the ESP and 225 patients with SCZ were enrolled in the study. To test the predictive capacity of CR for each diagnostic group, a logistic regression analysis was conducted. Hierarchical linear regression analyses were performed to explore the associations between CR and different outcomes. The mediation analyses were performed according to the principles of Baron and Kenny. RESULTS: Patients with SCZ showed lower CR than those in the ESP (p<0.001). CR correctly classified 79.6% of the cases (p<0.001; Exp(B)=1.062). In ESP group, CR was related to working memory (p=0.030) and negative symptoms (p=0.027). CR (t=3.925, p<0.001) and cannabis use (t=2.023, p=0.048) explained 26.7% of the variance on functioning (p=0.003). In patients with SCZ, CR predicted all cognitive domains, negative symptoms (R2=0.091, p=0.001) and functioning (R2=0.074, p=0.005). In both ESP and SCZ groups, higher CR was associated with lower body mass index and circumference. In ESP group, the effect of adherence to Mediterranean diet on functioning (p=0.037) was mediated by CR level (p=0.003). CONCLUSIONS: The implications of CR depend on the stage of the disease (ESP vs. SCZ), with a greater effect on neurocognition and negative symptoms in patients with chronic SCZ.
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BACKGROUND: The prevalence of medical illnesses is high among patients with psychiatric disorders. The current study aimed to investigate multi-comorbidity in patients with psychiatric disorders in comparison to the general population. Secondary aims were to investigate factors associated with metabolic syndrome and treatment appropriateness of mental disorders. METHODS: The sample included 54,826 subjects (64.73% females; 34.15% males; 1.11% nonbinary gender) from 40 countries (COMET-G study). The analysis was based on the registration of previous history that could serve as a fair approximation for the lifetime prevalence of various medical conditions. RESULTS: About 24.5% reported a history of somatic and 26.14% of mental disorders. Mental disorders were by far the most prevalent group of medical conditions. Comorbidity of any somatic with any mental disorder was reported by 8.21%. One-third to almost two-thirds of somatic patients were also suffering from a mental disorder depending on the severity and multicomorbidity. Bipolar and psychotic patients and to a lesser extent depressives, manifested an earlier (15-20 years) manifestation of somatic multicomorbidity, severe disability, and probably earlier death. The overwhelming majority of patients with mental disorders were not receiving treatment or were being treated in a way that was not recommended. Antipsychotics and antidepressants were not related to the development of metabolic syndrome. CONCLUSIONS: The finding that one-third to almost two-thirds of somatic patients also suffered from a mental disorder strongly suggests that psychiatry is the field with the most trans-specialty and interdisciplinary value and application points to the importance of teaching psychiatry and mental health in medical schools and also to the need for more technocratically oriented training of psychiatric residents.
Subject(s)
Antipsychotic Agents , Mental Disorders , Metabolic Syndrome , Male , Female , Humans , Metabolic Syndrome/epidemiology , Metabolic Syndrome/drug therapy , Mental Disorders/epidemiology , Mental Disorders/drug therapy , Antipsychotic Agents/therapeutic use , Mental Health , ComorbidityABSTRACT
Impaired intestinal permeability has recently been suggested as a possible source of chronic inflammation in schizophrenia, but its association with specific psychopathological features remains uncertain. This study aimed to explore the interaction between intestinal permeability, inflammation, and positive and negative symptoms in schizophrenia using a network analysis approach. The study sample comprised 281 adults with schizophrenia (age 40.29 ± 13.65 years, 63.0 % males), enrolled in a cross-sectional observational study assessing intestinal permeability. We estimated the network with a Gaussian graphical model, incorporating scores from 14 individual items of the Positive and Negative Syndrome Scale (PANSS), along with body mass index (BMI), and plasma C-reactive protein (CRP) and lipopolysaccharide-binding protein (LBP) levels. We calculated strength centrality and expected influence and used bridge centrality statistics to identify the bridge nodes. Distinct but highly interconnected clusters emerged for positive and negative symptoms. The biological variables were closely associated with each other. LBP was positively linked with CRP and BMI, but only indirectly connected to psychopathology. CRP exhibited direct positive relationships with various PANSS items and bridged LBP and BMI with psychopathology. Bridge nodes included Conceptual Disorganisation (P2), Active Social Avoidance (G16), Suspiciousness/Persecution (P6), and CRP. These findings support the role of gut-derived inflammation as a mechanism underlying greater symptom severity in schizophrenia and emphasise the importance of addressing dietary habits not only to enhance physical health but also to contribute to improving psychotic symptoms.
Subject(s)
Schizophrenia , Male , Adult , Humans , Middle Aged , Female , Schizophrenia/diagnosis , Cross-Sectional Studies , Intestinal Barrier Function , Brain , InflammationABSTRACT
BACKGROUND: Depression during pregnancy is a common complication that can negatively affect fetal health and birth outcomes. Cortisol is believed to be a key mediator of this association. Although pregnancy entails a natural increase in cortisol levels, preclinical depression could alter its circadian rhythm, producing excessively high overall diurnal cortisol levels that might be harmful for the fetus and future offspring development. OBJECTIVES: Using a prospective longitudinal design, we aimed to study (i) trimestral cortisol circadian rhythm and its overall levels throughout pregnancy in healthy women, (ii) the extent to which maternal depressive symptoms influence both cortisol rhythmicity and overall levels, and (iii) the possible adverse consequences of elevated maternal cortisol on the offspring's weight and gestational age at birth. STUDY DESIGN: 112 healthy pregnant women from the general Spanish population were recruited before their first pregnancy. To assess cortisol circadian rhythm, participants provided four saliva samples at each trimester of pregnancy (at awakening, 30 min after awakening, before lunch and before going to bed). Overall cortisol levels were calculated with AUCg approximation. Depressive symptoms were evaluated in each trimester and defined according to EPDS cut-off values (1st trimester, EPDS ≥ 11; 2nd and 3rd trimesters, EPDS ≥ 10). At birth, the risk for low weight, prematurity and weight birth percentile was retrieved for 100 infants. Mixed models and simple effects were employed to study changes of maternal cortisol circadian rhythm and overall levels throughout pregnancy and the possible influence of maternal depressive symptoms. Finally, logistic regressions were performed to assess the associations between maternal overall cortisol levels in each trimester of pregnancy and birth anthropometrics. RESULTS: Although overall diurnal cortisol levels increase throughout pregnancy, cortisol circadian rhythm is preserved in all trimesters [1st (F(3110)= 92.565, p < .001), 2nd (F(3,85)= 46.828, p < .001) and 3rd (F(3,90)= 65.555, p < .001)]. However, women with depressive symptoms showed a flattened cortisol circadian pattern only during the second trimester, characterized by a blunted awakening peak and reduced evening decline (F(3,85)= 4.136, p = .009), but not during the first (F(3,11)= 1.676, p = .176) or the third (F(3,90)= 1.089, p = .358) trimesters. Additionally, they did not show a cortisol increase from second to third trimester (p = .636). Finally, higher maternal cortisol levels in second and third trimesters seemed to be associated with increased risk of prematurity (adjusted OR -0.371, 95% CI 0.490-0.972, p = .034) and low birth weight percentile (adjusted OR -0.612, 95% CI 0.348-0.846, p = .007) respectively. CONCLUSION: Maternal cortisol levels increased throughout pregnancy, although cortisol circadian rhythm was preserved in all trimesters of pregnancy. However, prenatal depressive symptoms were associated with flattened maternal cortisol circadian rhythm in mid-pregnancy. Therefore, it seems that women with depressive symptoms tended to increase less gradually their cortisol levels from mid to late pregnancy. Finally, higher maternal cortisol levels in mid and late-pregnancy seem to be associated with poorer birth anthropometrics Early detection of depressive symptoms in general population could help to prevent putative obstetrical and birth adverse outcomes.
Subject(s)
Hydrocortisone , Pregnancy Complications , Infant, Newborn , Infant , Pregnancy , Female , Humans , Depression , Prospective Studies , Pregnant Women , Infant, Low Birth WeightABSTRACT
El daño cerebral relacionado con el consumo de alcohol se asocia a alteraciones de las funciones cognitivas, entre las que destacan memoria y aprendizaje verbal. El objetivo principal es evaluar memoria y aprendizaje verbal en una muestra de 111 pacientes con trastorno por consumo de alcohol (TCA) versus 78 con trastorno de depresión mayor (TDM) y 100 controles sanos. La evaluación incluyó variables sociodemográficas y clínicas, la Escala de Hamilton para la Depresión (HDRS) y el Test de Aprendizaje Verbal de California (CVLT). Se utilizó ANOVA de un factor para comparaciones entre los 3 grupos y ANCOVAS bidireccionales incluyendo diferentes covariables. El ANOVA de un factor muestra que los pacientes con TCA y TDM obtienen puntuaciones similares entre sí e inferiores a las del grupo control (p < 0,001), con excepción del CVLT Guiado (peores puntuaciones en TDM vs TCA, p < 0,001). Tras incluir como covariables la edad, sexo y los años de estudios completados, persisten las diferencias entre los grupos de TCA y TDM frente al grupo control (p ≤ 0,003) en todos los índices con excepción del CVLT Libre Inmediato y del CVLT Guiado (peor rendimiento en TDM vs TCA, p = 0,022 y p = 0,035, respectivamente). En el segundo ANCOVA, tras controlar por gravedad de la depresión, únicamente se detectan diferencias entre los pacientes con TCA y los controles sanos (p ≤ 0,007). Los pacientes con TCA presentan una importante alteración en aprendizaje y memoria verbal al compararlos con pacientes con TDM y con personas sanas. (AU)
Brain damage related to alcohol consumption is associated with impairments in cognitive functions, among which memory and verbal learning stand out. The main objective is to evaluate memory and verbal learning in a sample of 111 patients with alcohol use disorder (AUD) versus 78 with major depressive disorder (MDD) and 100 healthy controls. The evaluation included sociodemographic and clinical variables, the Hamilton Depression Scale (HDRS) and the California Verbal Learning Test (CVLT). One-way ANOVA was used for comparisons between the 3 groups and two-way ANCOVAS including different covariates. The one-way ANOVA shows that patients with AUD and MDD had scores similar to each other and lower than those of the control group (p <0.001), with the exception of the Cued CVLT (worse scores in MDD vs AUD, p <0.001). After including age, sex and years of completed studies as covariates, the differences between the AUD and MDD groups persisted compared to the control group (p ≤ 0.003) in all indices except for the Immediate Free CVLT and the Cued CVLT (worse performance in MDD vs AUD, p = 0.022 and p = 0.035, respectively). In the second ANCOVA, after controlling for depression severity, differences were only detected between AUD patients and healthy controls (p ≤ 0.007). Patients with AUD present a significant impairment in learning and verbal memory when compared with patients with MDD and with healthy people. (AU)
Subject(s)
Humans , Male , Female , Adult , Middle Aged , Verbal Learning , Memory and Learning Tests , Memory , Alcoholism , Depressive Disorder, MajorSubject(s)
Humans , Male , Female , Adult , Middle Aged , Substance-Related Disorders , Permeability , Intestinal Absorption , Intestinal Diseases , Schizophrenia/physiopathologyABSTRACT
INTRODUCTION: Bipolar disorder (BD) has been reconceptualised as a progressive disorder that develops from mild to severe presentations. An empirical staging model - the Empirically Developed Clinical Staging Model for BD (EmDe-5) - was developed in a previous study. This study aims to further validate that model using a larger and more representative Spanish sample. MATERIAL AND METHODS: 183 BD outpatients were recruited at 11 sites in Spain. Assessment included clinical characteristics of the BD (number of hospitalisations, number of suicide attempts, comorbid personality disorders), physical health (BMI, metabolic syndrome, number of physical illnesses), cognition (SCIP), functioning (permanently disabled due to BD, FAST), and quality of life (SF-36). The CGI-S, VAS-S, and psychopharmacological treatment pattern were used as external validators. RESULTS: Ten patients (51.5%) were classified as stage 1, 33 (18%) as stage 2, 93 (508%) as stage 3, 37 (202%) as stage 4, and 10 (55%) as stage 5. All profilers, other than number of suicide attempts (p=0.311) and comorbid personality disorder (p=0.061), exhibited worse scores from stage 1 to 5. As expected, VAS-S and CGI-S scores were worse in the later stages. Regarding treatment, early stages (1-2) were associated with the use of one to three drugs while late stages (4-5) were associated with four or more drugs (p=0.002). CONCLUSIONS: We confirm the EmDe-5 staging model's construct validity. The ease of obtaining the profilers, together with the operational criteria provided to quantify them, will facilitate the use of the EmDe-5 staging model in daily clinical practice.
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BACKGROUND: People with schizophrenia and predominant negative symptoms (PNS) present a different clinical and functional profile from those without such symptomatology. Few studies have examined the risk factors and the incidence of PNS in first-episode schizophrenia patients (FES) and differentiating by sex. This study aims to assess prevalence, demographic and clinical characteristics related to PNS from early stages and to study if there are sex-specific features in terms of developing PNS. METHODS: In a sample of 121 FES patients derived from a multicentre and naturalistic study, those who developed PNS at 12-months were identified. Environmental, clinical, functional, and cognitive ratings were examined longitudinally. Binary logistic regressions were applied to detect baseline risk factors for developing PNS at one-year follow-up. RESULTS: In the present FES cohort, 24.8% of the patients (n=30) developed PNS (20% of the women, 27.6% of the men). Compared to non-PNS (75.2%, n=91), at baseline, PNS group had more negative (t=-6.347; p<0.001) and depressive symptoms (t=-5.026; p<0.001), poorer premorbid adjustment (t=-2.791; p=0.006) and functional outcome (t=-2.649; p<0.001), more amotivation (t=-7.333; p<0.001), more expressivity alterations (t=-4.417; p<0.001), worse cognitive reserve (t=2.581; p<0.011), a lower estimated intelligent quotient (t=2.417; p=0.017), worse verbal memory (t=2.608; p=0.011), and worse fluency (t=2.614; p=0.010). Regressions showed that the premorbid adjustment was the main predictor of PNS in females (p=0.007; Exp(B)=1.106) while in males were a worse verbal memory performance (p=0.031; Exp(B)=0.989) and more alterations in the motivation domain (p=0.001; Exp(B)=1.607). CONCLUSIONS: A different baseline clinical profile and notable risk factors differences in the development of PNS between males and females were found. Results suggest that sex may be an important confounder in studies comparing schizophrenia patients with predominant and non-predominant negative symptomatology.
Subject(s)
Psychotic Disorders , Schizophrenia , Male , Humans , Female , Schizophrenia/diagnosis , Psychotic Disorders/diagnosis , Psychiatric Status Rating Scales , Neuropsychological Tests , Risk FactorsABSTRACT
Background: Since research in schizophrenia mainly focuses on deficits and risk factors, we need studies searching for high-functioning protective factors. Thus, our objective was to identify protective (PFs) and risk factors (RFs) separately associated with high (HF) and low functioning (LF) in patients with schizophrenia. Methods: We collected information (sociodemographic, clinical, psychopathological, cognitive, and functional) from 212 outpatients with schizophrenia. Patients were classified according to their functional level (PSP) as HF (PSP > 70, n = 30) and LF (PSP ≤ 50, n = 95). Statistical analysis consisted of Chi-square test, Student's t-test, and logistic regression. Results: HF model: variance explained: 38.4-68.8%; PF: years of education (OR = 1.227). RFs: receiving a mental disability benefit (OR = 0.062) and scores on positive (OR = 0.719), negative-expression (OR = 0.711), and negative-experiential symptoms (OR = 0.822), and verbal learning (OR = 0.866). LF model: variance explained: 42.0-56.2%; PF: none; RFs: not working (OR = 6.900), number of antipsychotics (OR = 1.910), and scores on depressive (OR = 1.212) and negative-experiential symptoms (OR = 1.167). Conclusion: We identified specific protective and risk factors for high and low functioning in patients with schizophrenia and confirmed that high functioning factors are not necessarily the opposite of those associated with low functioning. Only negative experiential symptoms are a shared and inverse factor for high and low functioning. Mental health teams must be aware of protective and risk factors and try to enhance or reduce them, respectively, to help their patients improve or maintain their level of functioning.
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The early psychological impact of the COVID-19 pandemic and lockdown is greater in people with mental disorders. This study explored the differences in the psychological impact on people with an anxiety disorder by sex in Spain.
Subject(s)
COVID-19 , Humans , Female , Male , Pandemics , Sex Characteristics , Anxiety/epidemiology , SARS-CoV-2 , Communicable Disease Control , Anxiety Disorders/epidemiology , Anxiety Disorders/psychology , DepressionABSTRACT
Purpose: To examine efficacy and safety of paliperidone palmitate (PP) 6-month (PP6M) vs PP3-month (PP3M) long acting injectable (LAI) in patients with schizophrenia from European sites previously stabilized on PP3M or PP1-month (PP1M). Methods: This post-hoc subgroup analysis used data from a global phase-3 double-blind (DB) randomized non-inferiority study (NCT03345342). Patients were randomized (2:1, respectively) to receive dorsogluteal injections of PP6M (700 mg eq. or 1000 mg eq.) or PP3M (350 mg eq. or 525 mg eq.) in the 12-month DB phase. Primary endpoint was time-to-relapse during the DB phase, using a Kaplan-Meier cumulative survival estimate (non-inferiority margin 95% CI lower bound larger than prespecified as -10%). Treatment emergent adverse events (TEAEs), physical examinations, and laboratory tests were also evaluated. Results: A total of 384 patients who entered the DB phase were included in European sites (PP6M, n = 260; PP3M, n = 124) with a mean age similar in both groups (mean age [SD] years: PP6M, 40.0 [11.39]; PP3M, 38.8 [10.41]). Baseline characteristics were similar across both groups. The number of patients who experienced a relapse during DB phase were PP6M: 18 (6.9%) vs PP3M: 3 (2.4%) with percentage relapse-free difference of -4.9% (95% CI: -9.2%, -0.5%), thus achieving non-inferiority criteria. Secondary efficacy endpoints indicated comparable improvements. Incidence of TEAEs was similar between PP6M (58.8%) and PP3M (54.8%) groups. Nasopharyngitis, headache, increased weight, and injection-site pain were the most common TEAEs. Conclusion: The efficacy of PP6M was non-inferior to that of PP3M in preventing relapse in the European subgroup previously treated with PP1M or PP3M, which was consistent with the global study. No new safety signals were identified.
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BACKGROUND: People with schizophrenia spectrum disorders (SSD) frequently present cognitive impairments. Here, we investigated whether the exposome score for schizophrenia (ES-SCZ) - a cumulative environmental exposure score - was associated with impairments of neurocognition, social cognition, and perception in patients with SSD, their unaffected siblings, and healthy controls. METHODS: This cross-sectional sample consisted of 1200 patients, 1371 siblings, and 1564 healthy controls. Neurocognition, social cognition, and perception were assesed using a short version of the Wechsler Adult Intelligence Scale-Third Edition (WAIS-III), the Degraded Facial Affect Recognition Task (DFAR), and the Benton Facial Recognition Test (BFR), respectively. Regression models were used to analyze the association between ES-SCZ and cognitive domains in each group. RESULTS: There were no statistically significant associations between ES-SCZ and cognitive domains in SSD. ES-SCZ was negatively associated with T-score of cognition in siblings (B=-0.40, 95% CI -0.76 to -0.03) and healthy controls (B=-0.63, 95% CI -1.06 to -0.21). Additionally, ES-SCZ was positively associated with DFAR-total in siblings (B=0.83, 95% CI 0.26 to 1.40). Sensitivity analyses excluding cannabis use history from ES-SCZ largely confirmed the main findings. CONCLUSIONS: Longitudinal cohorts may elucidate how environmental exposures influence the onset and course of cognitive impairments in trans-syndromic psychosis spectrum.