People with severe mental illness treated with antipsychotics have excess metabolic dysfunction and heightened risk for cardiovascular disease.

BackgroundPatients with severe mental illness are at increased risk for metabolic and cardiovascular disease. A number of recent guidelines and consensus statements recommend stringent monitoring of metabolic function in individuals receiving antipsychotic drugs.MethodsWe conducted a prospective cohort study of 106 community-treated psychiatric patients from across the diagnostic spectrum from the Northeast of England to investigate changes in metabolic status and monitoring practices for metabolic and cardiovascular disease. We undertook detailed anthropometric and metabolic assessment at baseline and follow-up, and examined clinical notes and hospital laboratory records to ascertain monitoring practices.ResultsA high prevalence of undiagnosed and untreated metabolic disease was present at baseline assessment. Mean follow-up time was 599.3 (SD ± 235.4) days. Body mass index (p < 0.005) and waist circumference (p < 0.05) had significantly increased at follow-up, as had the number of individuals who were either overweight or obese. Fifty-three per cent of individuals had hypertriglyceridemia, and 31% had hypercholesterolemia, but only 7% were receiving lipid-lowering therapy. Monitoring practices were poor. Recording of measures of adiposity occurred in 0% of individuals, and > 50% of subjects had neither blood glucose nor lipids monitored during the follow-up period.ConclusionThis cohort has a high prevalence of metabolic disease and heightened cardiovascular risk. Despite the publication of a number of recommendations regarding physical health screening in this population, monitoring rates are poor, and physical health worsened during the follow-up period.

Aims/hypothesis: Atypical antipsychotic drugs may be associated with obesity and other components of the metabolic syndrome, but this relationship is controversial. We investigated the hypothesis that atypical antipsychotics are associated with a greater degree of metabolic dysfunction than typical agents. Methods: Metabolic parameters were measured in 103 diagnostically heterogeneous psychiatric out-patients. Patients had been taking typical or atypical antipsychotic drugs for a minimum of six months. Results: Sixty-nine patients were taking atypical agents, 20 typical agents and 14 a combination. Mean values (±SD) for the whole group were: age 43.8 years (11.4); BMI 29.1 kg/m 2 (5.1); W:H ratio 0.88 (0.09). Metabolic parameters, including beta cell function and insulin sensitivity, measured by HOMA, did not differ with regard to the prescribed antipsychotic drug. Six patients had undiagnosed diabetes, six patients had impaired fasting glucose, and eight fulfilled criteria for the metabolic syndrome, all of whom were taking atypical agents (p=0.07 vs typical agents). Subgroup analyses of those taking atypical agents revealed differences in BMI (mean, ±SD) between olanzapine (27.3 kg/m 2 ±5.1) and quetiapine (31.9 kg/m 2 ±5.1), p=0.01, and HbA 1c (olanzapine, 5.1%±0.6 vs quetiapine, 5.6%±0.6; p=0.03). Other atypical agents were intermediate with regard to these parameters. Conclusions: Obesity, dyslipidaemia and abnormalities of glucose homeostasis are prevalent in this group. Patients taking atypical agents showed a trend towards abnormalities of glucose homeostasis. Prospective studies are needed to explore the precise relationship between antipsychotic drugs, glucose homeostasis, obesity and the metabolic syndrome.

Clinical characteristics and risk factors associated with sudden unexplained death (SUD) in the psychiatric population are unclear. Psychiatric in-patients (England, Wales) who met criteria for SUD were identified (1 March 1999-31 December 2005). Cases were matched with controls (in-patients alive on the day a SUD occurred). Data were collected via questionnaires. Some 283 cases of SUD were identified (41 annually), with a rate of 2.33/10,000 mental health admissions (in England). Electrocardiograms were not routine, cardiopulmonary resuscitation equipment was sometimes unavailable, attempts to resuscitate patients were carried out on one-half of all patients and post mortems/inquiries were not routine. Restraint and seclusion were uncommon. Risk factors included: benzodiazepines (odds ratio (OR): 1.83); ≥ 2 antipsychotics (OR: 2.35); promazine (OR: 4.02); diazepam (OR: 1.71); clozapine (OR: 2.10); cardiovascular disease (OR: 2.00); respiratory disease (OR: 1.98); diagnosis of dementia (OR: 2.08). Venlafaxine and a diagnosis of affective disorder were associated with reduced ORs (OR: 0.42; OR: 0.65). SUD is relatively rare, although it is more common in older patients and males. Prevention measures may include safer prescribing of antipsychotics and improved physical health care. The contribution of restraint or seclusion to SUD in individual cases is unclear. A uniform definition of SUD may help to identify contributing factors.

-Background and Objectives:Sleep disturbance is prominent in many neuropsychiatric disorders and may precipitate or exacerbate a range of psychiatric conditions. Few studies have investigated sleep disordered breathing and in particular obstructive sleep apnoea in community psychiatric patients and the commonly used screening instruments have not been evaluated in patients with psychiatric disorders. The objective is to evaluate the prevalence of sleep disordered breathing in a community cohort with chronic mental illness on long term psychotropic medication, and to assess the effectiveness of commonly used screening instruments to detect abnormal sleep.Methods: 52 patients completed sleep questionnaires and 50 undertook overnight oximetry. Results: 52% (n = 26) had sleep-disordered breathing; 20% (n = 10) had moderate/severe sleep apnoea. The Epworth Sleepiness Score and the Pittsburgh Sleep Quality Inventory did not predict sleep disordered breathing.Conclusions: Patients with psychiatric disorders in the community have a high rate of undiagnosed sleep disordered breathing, which is not reliably detected by established sleep disorder screening questionnaires.

Studies investigating the relationship between cigarette smoking and prolactin secretion in the general population have yielded inconsistent results. Many antipsychotic drugs increase prolactin secretion, but there are no published studies that have investigated the relationship between smoking and prolactinaemia in antipsychotic-treated patients. We obtained prolactin levels from 228 antipsychotic-treated patients in secondary care mental health services and investigated the relationship between prolactinaemia and cigarette smoking. Twenty-three percent (n = 52) of patients had hyperprolactinaemia. Patients prescribed typical or a combination of typical and atypical antipsychotics had a significantly higher prevalence of hyperprolactinaemia and higher mean prolactin concentration. Both current and ex-cigarette smokers had significantly lower mean prolactin levels and a lower prevalence of hyperprolactinaemia, but after controlling for potentially confounding variables, only current smoking status was a significant predictor of lower prolactin levels (OR 2.3, 95% CI 1.2 to 4.7, p = 0.002). In this preliminary, cross-sectional study, there was a robust statistical relationship between cigarette smoking and prolactinaemia. The mechanism(s) underpinning this association needs further investigation.

The relationship between antipsychotic use and cardiovascular morbidity and mortality is controversial. There is a lack of long-term prospective studies investigating changes in cardiometabolic risk in patients treated with antipsychotic drugs. We report data from a 4-year prospective study. Patients (89) underwent detailed metabolic and cardiovascular risk assessment at 4-years which included anthropometric assessment, blood pressure, lipid profile, and an oral glucose tolerance test. We used the homeostatic model assessment to determine insulin resistance, and calculated 10-year cardiovascular risk scores. Mean age of subjects was 44.7 (± 11.5) years, and 52% were male. The prevalence of type 2 diabetes was 8%, and 38.4% fulfilled diagnostic criteria for the metabolic syndrome. With the exception of increased central adiposity over the 4-year follow-up period (p < 0.001), other cardiometabolic parameters were generally unchanged. There was a high prevalence of dyslipidaemia, but only 16.9% were prescribed lipid-lowering treatment. Commencing lipid-lowering therapy was associated with a reduction in cardiovascular risk score (OR 7.9, 95% CI = 1.3 to 48.7; p = 0.02). Patients established on longer-term antipsychotic treatment show less dramatic metabolic changes than those occurring in the early stages of treatment, but have a high burden of cardiovascular risk. Lipid-lowering therapy is associated with a significant reduction in cardiovascular risk.

These neighbourhoods, particularly those identified as 'hot spots' for both being underweight and obesity, include some of the most deprived wards in the UK. As dietetic intervention may help to promote optimal weight gain during pregnancy and improve dietary intake for pregnant women and their families, primary health care providers should target these localities with a high prevalence of low and high BMI as a priority.