Mortality and guideline-concordant care for older patients with schizophrenia: a retrospective longitudinal study

Atypical Antipsychotics and Metabolic Syndrome: From Molecular Mechanisms to Clinical Differences

Atypical antipsychotics (AAPs) are commonly prescribed medications to treat schizophrenia, bipolar disorders and other psychotic disorders. However, they might cause metabolic syndrome (MetS) in terms of weight gain, dyslipidemia, type 2 diabetes (T2D), and high blood pressure, which are responsible for reduced life expectancy and poor adherence. Importantly, there is clear evidence that early metabolic disturbances can precede weight gain, even if the latter still remains the hallmark of AAPs use. In fact, AAPs interfere profoundly with glucose and lipid homeostasis acting mostly on hypothalamus, liver, pancreatic β-cells, adipose tissue, and skeletal muscle. Their actions on hypothalamic centers via dopamine, serotonin, acetylcholine, and histamine receptors affect neuropeptides and 5'AMP-activated protein kinase (AMPK) activity, thus producing a supraphysiological sympathetic outflow augmenting levels of glucagon and hepatic glucose production. In addition, altered insulin secretion, dyslipidemia, fat deposition in the liver and adipose tissues, and insulin resistance become aggravating factors for MetS. In clinical practice, among AAPs, olanzapine and clozapine are associated with the highest risk of MetS, whereas quetiapine, risperidone, asenapine and amisulpride cause moderate alterations. The new AAPs such as ziprasidone, lurasidone and the partial agonist aripiprazole seem more tolerable on the metabolic profile. However, these aspects must be considered together with the differences among AAPs in terms of their efficacy, where clozapine still remains the most effective. Intriguingly, there seems to be a correlation between AAP's higher clinical efficacy and increase risk of metabolic alterations. Finally, a multidisciplinary approach combining psychoeducation and therapeutic drug monitoring (TDM) is proposed as a first-line strategy to avoid the MetS. In addition, pharmacological treatments are discussed as well.

A Bayesian Approach to Modeling Risk of Hospital Admissions Associated With Schizophrenia Accounting for Underdiagnosis of the Disorder in Administrative Records

Schizophrenia is a debilitating serious mental illness characterized by a complex array of symptoms with varying severity and duration. Patients may seek treatment only intermittently, contributing to challenges diagnosing the disorder. A misdiagnosis may potentially bias and reduce study validity. Thus we developed a statistical model to assess the risk of 1-year hospitalization for patients diagnosed with schizophrenia, accounting for when schizophrenia is underreported in administrative databases. A retrospective study design identified patients seeking care during 2010 within an integrated health care system from the Health Maintenance Organization Research Network located in the southwestern United States. Bayesian analysis addressed the problem of underdiagnosed schizophrenia with a statistical measurement error model assuming varying rates of underreporting. Results were then compared to classical multivariable logistic regression. Assuming no underreporting, there was an 87% greater relative odds of hospitalization associated with schizophrenia, OR = 1.87, CI [1.08, 3.23]. Effect sizes and interval estimates representing the association between hospitalization and schizophrenia were reduced with the Bayesian approach accounting for underdiagnosis, suggesting that less severe patients may be underrepresented in studies of schizophrenia. The analytical approach has useful applications in other contexts where the identification of patients with a given condition may be underreported in administrative records.

Coronary heart disease risk in patients with schizophrenia: a Lebanese cross-sectional study

Background:

Coronary heart disease (CHD) is a leading cause of premature death in patients with schizophrenia. CHD risk in Lebanese patients with schizophrenia remains unknown.

Objectives:

To (i) evaluate CHD risk of patients with schizophrenia in Lebanon; and (ii) detect the modifiable and non-modifiable factors affecting this risk.

Methods:

Cross-sectional study of 329 patients with schizophrenia aged 20–75 years. Ten-year hard CHD risk was calculated using the Framingham risk score. A logistic regression was conducted taking the dichotomous hard CHD (<10% and ≥10%) as the dependent variable.

Results:

Ten-year hard CHD risk was low (<10%) in 60.8% of patients, intermediate (10–20%) in 31.6%, and high (>20%) in 7.6%. Multivariate analysis showed that the mean 10-year hard CHD risk was 8.76±6.92 (10.82±6.83 in men and 3.18±2.90 in women). Ten-year hard CHD risk was higher in patients with the metabolic syndrome (odds ratio [OR] 2.67, confidence interval [CI] 1.54–4.64), a longer duration of schizophrenia (OR 1.03, CI 1.01–1.05), a history of other medical illnesses (OR 2.02, CI 1.18–3.47), and in those participating in art therapy (OR 2.13, CI 1.25–3.64) or therapeutic education (OR 1.93, CI 0.93–4.01). Ten-year hard CHD risk was lower in patients receiving risperidone (OR 0.23, CI 0.08–0.68), any anti-epileptic (OR 0.41, CI 0.24–0.73), or any benzodiazepine (OR 0.33, CI 0.17–0.66) medication.

Conclusion:

CHD is prevalent in patients with schizophrenia in Lebanon. Physicians are recommended to monitor the components of the metabolic syndrome to identify patients with increased risk of cardiovascular diseases.

Protective and Risk Factors for 5-Year Survival in the Oldest Veterans: Data from the Veterans Health Administration

OBJECTIVES

To characterize physical and mental diseases and use of healthcare services and identify factors associated with mortality in the oldest individuals using the Veterans Health Administration (VHA).

DESIGN

Retrospective study with 5-year survival follow-up.

SETTING

VHA, system-wide.

PARTICIPANTS

Veterans using the VHA aged 80 and older as of October 2008 (N = 721,588: n = 665,249 aged 80-89, n = 56,118 aged 90-99, n = 221 aged 100-115).

MEASUREMENTS

Demographic characteristics, physical and mental diseases, healthcare services, and 5-year survival were measured.

RESULTS

Accelerated failure time models identified protective and risk factors associated with mortality according to age group. During 5 years of follow-up, 44% of participants died (survival rate: 59% aged 80-89, 32% aged 90-99, 15% aged ≥100). In the multivariable model, protective effects for veterans aged 80-99 were female sex, minority race or ethnicity, being married, having certain physical and mental diagnoses (hypertension, cataract, dyslipidemia, posttraumatic stress disorder, bipolar disorder), having urgent care visits, having invasive surgery, and having few (1-3) prescriptions. Risk factors were lower VHA priority status, physical and mental conditions (diabetes mellitus, anemia, congestive heart failure, dementia, anxiety, depression, smoking, substance abuse disorder), hospital admission, and nursing home care. For those aged 100 and older, being married, smoking, hospital admission, nursing home care, invasive surgery, and prescription use were significant risk factors; only emergency department (ED) use was protective.

CONCLUSION

Although the data are limited to VHA care (thus missing Medicare services), this study shows that many veterans served by the VHA live to advanced old age despite multiple chronic conditions. Further study is needed to determine whether a comprehensive, coordinated care system like VHA is associated with greater longevity for very old persons.

Prevalence, incidence and mortality from cardiovascular disease in patients with pooled and specific severe mental illness: a large-scale meta-analysis of 3,211,768 patients and 113,383,368 controls

People with severe mental illness (SMI) - schizophrenia, bipolar disorder and major depressive disorder - appear at risk for cardiovascular disease (CVD), but a comprehensive meta-analysis is lacking. We conducted a large-scale meta-analysis assessing the prevalence and incidence of CVD; coronary heart disease; stroke, transient ischemic attack or cerebrovascular disease; congestive heart failure; peripheral vascular disease; and CVD-related death in SMI patients (N=3,211,768) versus controls (N=113,383,368) (92 studies). The pooled CVD prevalence in SMI patients (mean age 50 years) was 9.9% (95% CI: 7.4-13.3). Adjusting for a median of seven confounders, patients had significantly higher odds of CVD versus controls in cross-sectional studies (odds ratio, OR=1.53, 95% CI: 1.27-1.83; 11 studies), and higher odds of coronary heart disease (OR=1.51, 95% CI: 1.47-1.55) and cerebrovascular disease (OR=1.42, 95% CI: 1.21-1.66). People with major depressive disorder were at increased risk for coronary heart disease, while those with schizophrenia were at increased risk for coronary heart disease, cerebrovascular disease and congestive heart failure. Cumulative CVD incidence in SMI patients was 3.6% (95% CI: 2.7-5.3) during a median follow-up of 8.4 years (range 1.8-30.0). Adjusting for a median of six confounders, SMI patients had significantly higher CVD incidence than controls in longitudinal studies (hazard ratio, HR=1.78, 95% CI: 1.60-1.98; 31 studies). The incidence was also higher for coronary heart disease (HR=1.54, 95% CI: 1.30-1.82), cerebrovascular disease (HR=1.64, 95% CI: 1.26-2.14), congestive heart failure (HR=2.10, 95% CI: 1.64-2.70), and CVD-related death (HR=1.85, 95% CI: 1.53-2.24). People with major depressive disorder, bipolar disorder and schizophrenia were all at increased risk of CVD-related death versus controls. CVD incidence increased with antipsychotic use (p=0.008), higher body mass index (p=0.008) and higher baseline CVD prevalence (p=0.03) in patients vs.

CONTROLS

Moreover, CVD prevalence (p=0.007), but not CVD incidence (p=0.21), increased in more recently conducted studies. This large-scale meta-analysis confirms that SMI patients have significantly increased risk of CVD and CVD-related mortality, and that elevated body mass index, antipsychotic use, and CVD screening and management require urgent clinical attention.

Mortality and Its Determinants in Late-Life Schizophrenia: A 5-Year Prospective Study in a Dutch Catchment Area

OBJECTIVE

It is uncertain if the raised mortality in schizophrenia persists in later life. Register-based studies suggest that excess mortality continues, although at a lower level than in younger age groups. However, prospective follow-up studies of older schizophrenia samples are lacking.

METHODS

A cohort of 157 older patients (mean age at study entry: 68 years) diagnosed with schizophrenia or schizoaffective disorder in a psychiatric catchment area in Amsterdam, the Netherlands was studied. Standardized mortality rate (SMR) was estimated at a 5-year follow-up, in referral to the same age group in the general catchment area population. The impact on survival time of a range of independent demographic and clinical predictors was evaluated.

RESULTS

The cohort had an all-cause SMR of 1.89 (95% CI: 1.28-2.70). SMR was higher in men (2.60; 95% CI: 1.42-4.37) than in women (1.78; 95% CI: 1.02-2.90). All deaths were from natural causes. Reduced survival was associated with higher age (HR: 1.10; 95% CI: 1.05-1.16), male gender (HR: 3.94; 95% CI: 1.87-8.31), and having had one or more compulsory admissions in the past (HR: 2.61; 95% CI: 1.46-4.68). In contrast, no mortality associations were found with diagnosis (schizophrenia versus schizoaffective disorder), age at onset of the disorder, or current prescription of antipsychotics.

CONCLUSION

The excess mortality in schizophrenia continues into late life, affecting men more often than women. Given the poor insight into the underlying mechanisms of this disquieting finding, there is a need to identify modifiable clinical and social risk factors.

Racial/Ethnic disparities in monitoring metabolic parameters for patients with schizophrenia receiving antipsychotic medications

OBJECTIVE

Patients with schizophrenia experience risks for metabolic dysregulation from medications and lifestyle behaviors. Although most patients with schizophrenia in the Veterans Health Administration (VA) receive antipsychotics, variation in monitoring metabolic dysregulation by race/ethnicity has not been assessed. This study analyzed differential monitoring of metabolic parameters by minority status.

METHODS

This retrospective study approximated the five components of metabolic syndrome (fasting glucose, high-density-lipoprotein cholesterol, triglycerides, blood pressure, and large waistline) using archival data, substituting body mass index for waistline. VA patients with schizophrenia age 50 or older were followed from October 1, 2001 through September 2009 (N = 30,258). Covariates included age, gender, race (white, black), Hispanic ethnicity, region, marital status, VA priority status, comorbidity, and antipsychotic type. Repeated-measures analysis assessed the association of race/ethnicity with metabolic monitoring.

RESULTS

Average patients age was 59 years (standard deviation: 9; range: 50-101), 97% were men, 70% white, 30% black, and 8% Hispanic. At baseline, 6% were monitored on all five metabolic components; this increased to 29% by 2005. In adjusted models, blacks were less likely to be monitored on all parameters, whereas Hispanics were less likely to have glucose and high-density-lipoprotein cholesterol monitored but more likely to have triglycerides tested. By 2009, lab assays were similar across race and ethnicity.

CONCLUSION

Guideline-concordant monitoring metabolic parameters appear to be equitable but low and somewhat at odds with racial/ethnic risk among older patients with schizophrenia. Physicians should discuss lipids, weight, and glucose with patients at risk for developing heart disease, diabetes, and other sequelae of the metabolic syndrome.

"First do no harm." A systematic review of the prevalence and management of antipsychotic adverse effects

AIMS

We aim to identify the prevalence and management strategies of nine clinically important categories of antipsychotic adverse effects, namely: extrapyramidal symptoms; sedation; weight gain; type II diabetes; hyperprolactinaemia; metabolic syndrome, dyslipidaemia; sexual dysfunction; and cardiovascular effects.

BACKGROUND

Antipsychotic drugs are widely prescribed for schizophrenia and other mental disorders. The adverse effects of antipsychotics are common, with a potential negative impact on adherence and engagement. Despite this, the scientific study of the prevalence or management of adverse antipsychotic effects is a neglected area.

METHOD

A systematic review was undertaken using pre-defined search criteria and three databases, with hand searching of citations and references. Inclusion was agreed on by two independent researchers after review of abstracts or full text. Quality analysis of included studies was conducted using pre-agreed criteria.

RESULTS

In total, 53 studies met inclusion criteria, revealing the following: (1) antipsychotic polypharmacy was associated with increased frequency of adverse effects, and (2) a longer duration of treatment is associated with greater severity (e.g. higher BMI); (3) clozapine was more strongly associated with metabolic disturbance than other antipsychotics in three studies and olanzapine was associated with the most weight gain in three studies; (4) hyperprolactinaemia was more common in women than men, but 50% men noted sexual dysfunction versus 25-50% in women; (5) despite clinical guideline recommendations there is a low rate of baseline testing for lipids and glucose; and (6) seven studies described adverse effect management strategies, but only two examined their efficacy - one found a significant reduction in weight with non-pharmacological group therapy and the other found a significant reduction in dyslipidaemia with statins.

CONCLUSIONS

Antipsychotic adverse effects are diverse and frequently experienced, but are not often systematically assessed. There is a need for further scientific study concerning the management of these side effects.

Use of atypical antipsychotics in the elderly: a clinical review

The use of atypical antipsychotic drugs in the elderly has become wider and wider in recent years; in fact, these agents have novel receptor binding profiles, good efficacy with regard to negative symptoms, and reduced extrapyramidal symptoms. However, in recent years, the use of both conventional and atypical antipsychotics has been widely debated for concerns about their safety in elderly patients affected with dementia and the possible risks for stroke and sudden death. A MEDLINE search was made using the words elderly, atypical antipsychotics, use, schizophrenia, psychosis, mood disorders, dementia, behavioral disorders, and adverse events. Some personal studies were also considered. This paper reports the receptor binding profiles and the main mechanism of action of these drugs, together with their main use in psychiatry and the possible adverse events in elderly people.