Schizophrenia is frequently a chronic and disabling disorder, characterized by heterogeneous positive and negative symptom constellations. The objective of this review was to provide information that ...may be useful for clinicians treating patients with negative symptoms of schizophrenia. Negative symptoms are a core component of schizophrenia that account for a large part of the long-term disability and poor functional outcomes in patients with the disorder. The term negative symptoms describes a lessening or absence of normal behaviors and functions related to motivation and interest, or verbal/emotional expression. The negative symptom domain consists of five key constructs: blunted affect, alogia (reduction in quantity of words spoken), avolition (reduced goal-directed activity due to decreased motivation), asociality, and anhedonia (reduced experience of pleasure). Negative symptoms are common in schizophrenia; up to 60% of patients may have prominent clinically relevant negative symptoms that require treatment. Negative symptoms can occur at any point in the course of illness, although they are reported as the most common first symptom of schizophrenia. Negative symptoms can be primary symptoms, which are intrinsic to the underlying pathophysiology of schizophrenia, or secondary symptoms that are related to psychiatric or medical comorbidities, adverse effects of treatment, or environmental factors. While secondary negative symptoms can improve as a consequence of treatment to improve symptoms in other domains (ie, positive symptoms, depressive symptoms or extrapyramidal symptoms), primary negative symptoms generally do not respond well to currently available antipsychotic treatment with dopamine D
antagonists or partial D
agonists. Since some patients may lack insight about the presence of negative symptoms, these are generally not the reason that patients seek clinical care, and clinicians should be especially vigilant for their presence. Negative symptoms clearly constitute an unmet medical need in schizophrenia, and new and effective treatments are urgently needed.
Promotion of good mental health, prevention, and early intervention before/at the onset of mental disorders improve outcomes. However, the range and peak ages at onset for mental disorders are not ...fully established. To provide robust, global epidemiological estimates of age at onset for mental disorders, we conducted a PRISMA/MOOSE-compliant systematic review with meta-analysis of birth cohort/cross-sectional/cohort studies, representative of the general population, reporting age at onset for any ICD/DSM-mental disorders, identified in PubMed/Web of Science (up to 16/05/2020) (PROSPERO:CRD42019143015). Co-primary outcomes were the proportion of individuals with onset of mental disorders before age 14, 18, 25, and peak age at onset, for any mental disorder and across International Classification of Diseases 11 diagnostic blocks. Median age at onset of specific disorders was additionally investigated. Across 192 studies (n = 708,561) included, the proportion of individuals with onset of any mental disorders before the ages of 14, 18, 25 were 34.6%, 48.4%, 62.5%, and peak age was 14.5 years (k = 14, median = 18, interquartile range (IQR) = 11-34). For diagnostic blocks, the proportion of individuals with onset of disorder before the age of 14, 18, 25 and peak age were as follows: neurodevelopmental disorders: 61.5%, 83.2%, 95.8%, 5.5 years (k = 21, median=12, IQR = 7-16), anxiety/fear-related disorders: 38.1%, 51.8%, 73.3%, 5.5 years (k = 73, median = 17, IQR = 9-25), obsessive-compulsive/related disorders: 24.6%, 45.1%, 64.0%, 14.5 years (k = 20, median = 19, IQR = 14-29), feeding/eating disorders/problems: 15.8%, 48.1%, 82.4%, 15.5 years (k = 11, median = 18, IQR = 15-23), conditions specifically associated with stress disorders: 16.9%, 27.6%, 43.1%, 15.5 years (k = 16, median = 30, IQR = 17-48), substance use disorders/addictive behaviours: 2.9%, 15.2%, 48.8%, 19.5 years (k = 58, median = 25, IQR = 20-41), schizophrenia-spectrum disorders/primary psychotic states: 3%, 12.3%, 47.8%, 20.5 years (k = 36, median = 25, IQR = 20-34), personality disorders/related traits: 1.9%, 9.6%, 47.7%, 20.5 years (k = 6, median = 25, IQR = 20-33), and mood disorders: 2.5%, 11.5%, 34.5%, 20.5 years (k = 79, median = 31, IQR = 21-46). No significant difference emerged by sex, or definition of age of onset. Median age at onset for specific mental disorders mapped on a time continuum, from phobias/separation anxiety/autism spectrum disorder/attention deficit hyperactivity disorder/social anxiety (8-13 years) to anorexia nervosa/bulimia nervosa/obsessive-compulsive/binge eating/cannabis use disorders (17-22 years), followed by schizophrenia, personality, panic and alcohol use disorders (25-27 years), and finally post-traumatic/depressive/generalized anxiety/bipolar/acute and transient psychotic disorders (30-35 years), with overlap among groups and no significant clustering. These results inform the timing of good mental health promotion/preventive/early intervention, updating the current mental health system structured around a child/adult service schism at age 18.
IMPORTANCE Despite evidence of the increasing use of psychotropic medications, little is known about the broader changes in the delivery of outpatient mental health treatment to children, ...adolescents, and adults. OBJECTIVE To assess national trends and patterns in the mental health care of children, adolescents, and adults in office-based medical practice. DESIGN, SETTING, AND PARTICIPANTS Outpatient visits to physicians in office-based practice from the 1995-2010 National Ambulatory Medical Care Surveys (N = 446 542). Trends (1995-2010) in visits with mental health care indicators are first compared between youths (<21 years) and adults (≥21 years) and then between children (0-13 years) and adolescents (14-20 years). Background and clinical characteristics of recent visits (2007-2010) resulting in a mental disorder diagnosis are also compared among children, adolescents, and adults. MAIN OUTCOMES AND MEASURES Visits resulting in mental disorder diagnoses, prescription of psychotropic medications, provision of psychotherapy, or psychiatrist care. RESULTS Between 1995-1998 and 2007-2010, visits resulting in mental disorder diagnoses per 100 population increased significantly faster for youths (from 7.78 to 15.30 visits) than for adults (from 23.23 to 28.48 visits) (interaction: P < .001). Psychiatrist visits also increased significantly faster for youths (from 2.86 to 5.71 visits) than for adults (from 10.22 to 10.87 visits) (interaction: P < .001). Psychotropic medication visits increased at comparable rates for youths (from 8.35 to 17.12 visits) and adults (from 30.76 to 65.90 visits) (interaction: P = .13). While psychotherapy visits increased from 2.25 to 3.17 per 100 population for youths, they decreased from 8.37 to 6.36 for adults (interaction: P < .001). In 2007-2010, 27.4% of child visits, 47.9% of adolescent visits, and 36.6% of adult visits resulting in a mental disorder diagnosis were to a psychiatrist. CONCLUSIONS AND RELEVANCE Compared with adult mental health care, the mental health care of young people has increased more rapidly and has coincided with increased psychotropic medication use. A great majority of mental health care in office-based medical practice to children, adolescents, and adults is provided by nonpsychiatrist physicians calling for increased consultation and communication between specialties.
The search for clinical outcome predictors for schizophrenia is as old as the field of psychiatry. However, despite a wealth of large, longitudinal studies into prognostic factors, only very few ...clinically useful outcome predictors have been identified. The goal of future treatment is to either affect modifiable risk factors, or use nonmodifiable factors to parse patients into therapeutically meaningful subgroups. Most clinical outcome predictors are nonspecific and/or nonmodifiable. Nonmodifiable predictors for poor odds of remission include male sex, younger age at disease onset, poor premorbid adjustment, and severe baseline psychopathology. Modifiable risk factors for poor therapeutic outcomes that clinicians can act upon include longer duration of untreated illness, nonadherence to antipsychotics, comorbidities (especially substance-use disorders), lack of early antipsychotic response, and lack of improvement with non-clozapine antipsychotics, predicting clozapine response. It is hoped that this limited capacity for prediction will improve as pathophysiological understanding increases and/or new treatments for specific aspects of schizophrenia become available.
Severe mental illness (SMI; schizophrenia, bipolar disorders (BDs), and other nonorganic psychoses) is associated with increased risk of cardiovascular disease (CVD) and CVD-related mortality. To ...date, no systematic review has investigated changes in population level CVD-related mortality over calendar time. It is unclear if this relationship has changed over time in higher-income countries with changing treatments.
To address this gap, a systematic review was conducted, to assess the association between SMI and CVD including temporal change. Seven databases were searched (last: November 30, 2021) for cohort or case-control studies lasting ≥1 year, comparing frequency of CVD mortality or incidence in high-income countries between people with versus without SMI. No language restrictions were applied. Random effects meta-analyses were conducted to compute pooled hazard ratios (HRs) and rate ratios, pooled standardised mortality ratios (SMRs), pooled odds ratios (ORs), and pooled risk ratios (RRs) of CVD in those with versus without SMI. Temporal trends were explored by decade. Subgroup analyses by age, sex, setting, world region, and study quality (Newcastle-Ottawa scale (NOS) score) were conducted. The narrative synthesis included 108 studies, and the quantitative synthesis 59 mortality studies (with (≥1,841,356 cases and 29,321,409 controls) and 28 incidence studies (≥401,909 cases and 14,372,146 controls). The risk of CVD-related mortality for people with SMI was higher than controls across most comparisons, except for total CVD-related mortality for BD and cerebrovascular accident (CVA) for mixed SMI. Estimated risks were larger for schizophrenia than BD. Pooled results ranged from SMR = 1.55 (95% confidence interval (CI): 1.33 to 1.81, p < 0.001), for CVA in people with BD to HR/rate ratio = 2.40 (95% CI: 2.25 to 2.55, p < 0.001) for CVA in schizophrenia. For schizophrenia and BD, SMRs and pooled HRs/rate ratios for CHD and CVD mortality were larger in studies with outcomes occurring during the 1990s and 2000s than earlier decades (1980s: SMR = 1.14, 95% CI: 0.57 to 2.30, p = 0.71; 2000s: SMR = 2.59, 95% CI: 1.93 to 3.47, p < 0.001 for schizophrenia and CHD) and in studies including people with younger age. The incidence of CVA, CVD events, and heart failure in SMI was higher than controls. Estimated risks for schizophrenia ranged from HR/rate ratio 1.25 (95% CI: 1.04 to 1.51, p = 0.016) for total CVD events to rate ratio 3.82 (95% CI: 3.1 to 4.71, p < 0.001) for heart failure. Incidence of CHD was higher in BD versus controls. However, for schizophrenia, CHD was elevated in higher-quality studies only. The HR/rate ratios for CVA and CHD were larger in studies with outcomes occurring after the 1990s. Study limitations include the high risk of bias of some studies as they drew a comparison cohort from general population rates and the fact that it was difficult to exclude studies that had overlapping populations, although attempts were made to minimise this.
In this study, we found that SMI was associated with an approximate doubling in the rate ratio of CVD-related mortality, particularly since the 1990s, and in younger groups. SMI was also associated with increased incidence of CVA and CHD relative to control participants since the 1990s. More research is needed to clarify the association between SMI and CHD and ways to mitigate this risk.
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Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Acute and long-term objectives must be linked early in the treatment of schizophrenia. Maintenance therapy is pivotal in relapse prevention. Relapses are serious events that alter disease trajectory ...and are most often related to nonadherence. Patients with schizophrenia have a substantial risk of relapse, especially when they are nonadherent to antipsychotics. Because relapses are accompanied by structural brain changes, worsening symptoms, and increased treatment resistance when medication is resumed, clinicians must monitor nonadherence and offer strategies to avoid or improve it. Long-acting injectable (LAI) antipsychotics have the potential to reduce nonadherence, relapse, rehospitalization, and mortality, even among patients with first-episode schizophrenia and with comorbid substance use disorder. Long-acting formulations can be a very powerful strategy in helping to ensure that patients get the benefit of the medication they have been prescribed, as the use of LAIs is more easily monitored than oral medications due to the nature of their administration to patients. However, prescribers tend to believe that patients have negative attitudes about LAIs and avoid prescribing them. Patients should be offered the option of LAI antipsychotic treatment and should understand the logistics and the potential benefits of the regimen. LAIs differ regarding their initiation strategy, duration, and flexibility of injection intervals, in addition to the differences of the antipsychotic that the LAI formulation is based on. Presentation matters for LAI treatments to be accepted by patients and family members. Clinicians can use certain communication tools to improve their dialogue with patients about the benefits of switching from oral agents.
Since currently available antipsychotic medications predominantly treat hallucinations, delusions, disorganized thoughts and behavior, and related agitation/aggression, attention has traditionally ...been focused on managing positive symptoms. However, prominent negative symptoms and clinically relevant cognitive impairment affect approximately 40% and 80% of people with schizophrenia, respectively. Moreover, negative and cognitive symptoms are closely related to functional outcomes, and contribute substantially to the overall illness burden. Therefore, approaches to describe, measure, and manage these symptom domains are relevant. This article summarizes the phenomenology, prevalence, assessment, and treatment of negative and cognitive symptoms in patients with schizophrenia, including pharmacologic and nonpharmacologic management strategies that can be used in clinical care now, as well as pharmacologic approaches that are being tested. Currently, no approved treatments targeting negative or cognitive symptomatology in schizophrenia are available. It is hoped that progress in the understanding of the neurobiology of these important symptom domains of schizophrenia will help develop effective treatment strategies in the future. However, until this goal is achieved, clinicians should avoid therapeutic nihilism. Rather, the severity and impact of negative and cognitive symptoms should be determined, quantified, and monitored. Further, psychosocial treatments have shown therapeutic benefits. Thus, cognitive behavioral therapy, cognitive remediation, social skills training, and computer-assisted training programs should be offered in conjunction with antipsychotic treatment. Several non-antipsychotic augmentation strategies can be tried off-label. Treatment plans that incorporate currently available management options for negative and cognitive symptomatology in patients with schizophrenia should be adapted over time and based on the individual's needs, with the aim to enhance overall outcomes.
People with severe mental illness have a considerably shorter lifespan than the general population. This excess mortality is mainly due to physical illness. Next to mental illness‐related factors, ...unhealthy lifestyle, and disparities in health care access and utilization, psychotropic medications can contribute to the risk of physical morbidity and mortality. We systematically reviewed the effects of antipsychotics, antidepressants and mood stabilizers on physical health outcomes in people with schizophrenia, depression and bipolar disorder. Updating and expanding our prior systematic review published in this journal, we searched MEDLINE (November 2009 ‐ November 2014), combining the MeSH terms of major physical disease categories (and/or relevant diseases within these categories) with schizophrenia, major depressive disorder and bipolar disorder, and the three major psychotropic classes which received regulatory approval for these disorders, i.e., antipsychotics, antidepressants and mood stabilizers. We gave precedence to results from (systematic) reviews and meta‐analyses wherever possible. Antipsychotics, and to a more restricted degree antidepressants and mood stabilizers, are associated with an increased risk for several physical diseases, including obesity, dyslipidemia, diabetes mellitus, thyroid disorders, hyponatremia; cardiovascular, respiratory tract, gastrointestinal, haematological, musculoskeletal and renal diseases, as well as movement and seizure disorders. Higher dosages, polypharmacy, and treatment of vulnerable (e.g., old or young) individuals are associated with greater absolute (elderly) and relative (youth) risk for most of these physical diseases. To what degree medication‐specific and patient‐specific risk factors interact, and how adverse outcomes can be minimized, allowing patients to derive maximum benefits from these medications, requires adequate clinical attention and further research.
CONTEXT Cardiometabolic effects of second-generation antipsychotic medications are concerning but have not been sufficiently studied in pediatric and adolescent patients naive to antipsychotic ...medication. OBJECTIVE To study the association of second-generation antipsychotic medications with body composition and metabolic parameters in patients without prior antipsychotic medication exposure. DESIGN, SETTING, AND PATIENTS Nonrandomized Second-Generation Antipsychotic Treatment Indications, Effectiveness and Tolerability in Youth (SATIETY) cohort study, conducted between December 2001 and September 2007 at semi-urban, tertiary care, academic inpatient and outpatient clinics in Queens, New York, with a catchment area of 4.5-million individuals. Of 505 youth aged 4 to 19 years with 1 week or less of antipsychotic medication exposure, 338 were enrolled (66.9%). Of these patients, 272 had at least 1 postbaseline assessment (80.5%), and 205 patients who completed the study (60.7%). Patients had mood spectrum (n = 130; 47.8%), schizophrenia spectrum (n = 82; 30.1%), and disruptive or aggressive behavior spectrum (n = 60; 22.1%) disorders. Fifteen patients who refused participation or were nonadherent served as a comparison group. INTERVENTION Treatment with aripiprazole, olanzapine, quetiapine, or risperidone for 12 weeks. MAIN OUTCOME MEASURES Weight gain and changes in lipid and metabolic parameters. RESULTS After a median of 10.8 weeks (interquartile range, 10.5-11.2 weeks) of treatment, weight increased by 8.5 kg (95% confidence interval CI, 7.4 to 9.7 kg) with olanzapine (n = 45), by 6.1 kg (95% CI, 4.9 to 7.2 kg) with quetiapine (n = 36), by 5.3 kg (95% CI, 4.8 to 5.9 kg) with risperidone (n = 135), and by 4.4 kg (95% CI, 3.7 to 5.2 kg) with aripiprazole (n = 41) compared with the minimal weight change of 0.2 kg (95% CI, −1.0 to 1.4 kg) in the untreated comparison group (n = 15). With olanzapine and quetiapine, respectively, mean levels increased significantly for total cholesterol (15.6 mg/dL 95% CI, 6.9 to 24.3 mg/dL P < .001 and 9.1 mg/dL 95% CI, 0.4 to 17.7 mg/dL P = .046), triglycerides (24.3 mg/dL 95% CI, 9.8 to 38.9 mg/dL P = .002 and 37.0 mg/dL 95% CI, 10.1 to 63.8 mg/dL P = .01), non–high-density lipoprotein (HDL) cholesterol (16.8 mg/dL 95% CI, 9.3 to 24.3 mg/dL P < .001 and 9.9 mg/dL 95% CI, 1.4 to 18.4 mg/dL P = .03), and ratio of triglycerides to HDL cholesterol (0.6 95% CI, 0.2 to 0.9 P = .002 and (1.2 95% CI, 0.4 to 2.0 P = .004). With risperidone, triglycerides increased significantly (mean level, 9.7 mg/dL 95% CI, 0.5 to 19.0 mg/dL; P = .04). Metabolic baseline-to-end-point changes were not significant with aripiprazole or in the untreated comparison group. CONCLUSIONS First-time second-generation antipsychotic medication use was associated with significant weight gain with each medication. Metabolic changes varied among the 4 antipsychotic medications.
Abstract Objective To evaluate the efficacy of non-pharmacological interventions for antipsychotic-associated weight gain. Methods Systematic literature search and meta-analysis of randomized ...controlled trials comparing behavioral interventions with control groups to ameliorate antipsychotic-associated weight gain. Results Across 17 studies (n = 810, mean age: 38.8 years, 52.7% male, 40.8% White, 85.6% with schizophrenia-spectrum disorders), non-pharmacological interventions led to a significant reduction in weight (− 3.12 kg; CI: − 4.03, − 2.21, p < 0.0001) and body mass index (BMI) (− 0.94 kg/m2 ; CI: − 1.45, − 0.43, p = 0.0003) compared with control groups. Intervention benefits extended to all secondary outcomes, except for high density-lipoprotein-cholesterol and systolic blood pressure. Compared to controls, intervention patients experienced significant decreases in waist circumference (WMD = − 3.58 cm, CI: − 5.51, − 1.66, p = 0.03), percent body fat (WMD = − 2.82%, CI: − 5.35, − 0.30, p = 0.03), glucose (WMD = − 5.79 mg/dL, CI: − 9.73, − 1.86, p = 0.004), insulin (WMD = − 4.93 uIU/mL, CI: − 7.64, − 2.23, p = 0.0004), total cholesterol (WMD = − 20.98 mg/dL, CI: − 33.78, − 8.19; p = 0.001), low density-lipoprotein-cholesterol (WMD = − 22.06 mg/dL, CI: − 37.80, − 6.32, p = 0.006) and triglycerides (WMD = − 61.68 mg/dL, CI: − 92.77, − 30.59, p = 0.0001), and less weight gain > 7% (29.7% vs. 61.3%; RR = − 0.52, CI: − 0.35, − 0.78, p = 0.002; number-needed-to-treat = 4). Up to 12 months after the intervention ended (mean = 3.6 months), benefits endured regarding weight (WMD = − 3.48 kg, CI: − 6.37, − 0.58, p = 0.02), but not BMI (p = 0.40). Subgroup analyses showed superiority of non-pharmacological interventions irrespective of treatment duration, individual or group, cognitive behavioral or nutritional interventions, or prevention versus intervention trials. However, weight and BMI were significantly improved only in outpatient trials (p < 0.0001), but not in inpatient or mixed samples (p = 0.09–0.96). Conclusion Behavioral interventions effectively prevented and reduced antipsychotic-associated weight gain and cardiometabolic perturbations, at least in outpatients agreeing to participate in trials aimed at improving physical health. Effective treatments ranged from nutritional interventions to cognitive behavioral therapy.
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