Reducing the duration of untreated psychosis and its impact in the U.S.: the STEP-ED study

Background: Early intervention services for psychotic disorders optimally interlock strategies to deliver: (i) Early Detection (ED) to shorten the time between onset of psychotic symptoms and effective treatment (i.e. Duration of Untreated Psychosis, DUP); and (ii) comprehensive intervention during the subsequent 2 to 5 years. In the latter category, are teams (‘First-episode Services’ or FES) that integrate several empirically supported treatments and adapt their delivery to younger patients and caregivers. There is an urgent need to hasten access to established FES in the U.S. Despite improved outcomes for those in treatment, these FES routinely engage patients a year or more after psychosis onset. The Scandinavian TIPS study was able to effectively reduce DUP in a defined geographic catchment. The guiding questions for this study are: can a U.S. adaptation of the TIPS approach to ED substantially reduce DUP and improve outcomes beyond existing FES? Methods/Design The primary aim is to determine whether ED can reduce DUP in the US, as compared to usual detection. ED will be implemented by one FES (STEP) based in southern Connecticut, and usual detection efforts will continue at a comparable FES (PREPR) serving the greater Boston metropolitan area. The secondary aim is to determine whether DUP reduction can improve presentation, engagement and early outcomes in FES care. A quasi-experimental design will compare the impact of ED on DUP at STEP compared to PREPR over 3 successive campaign years. The campaign will deploy 3 components that seek to transform pathways to care in 8 towns surrounding STEP. Social marketing approaches will inform a public education campaign to enable rapid and effective help-seeking behavior. Professional outreach and detailing to a wide variety of care providers, including those in the healthcare, educational and judicial sectors, will facilitate rapid redirection of appropriate patients to STEP. Finally, performance improvement measures within STEP will hasten engagement upon referral. Discussion STEP-ED will test an ED campaign adapted to heterogeneous U.S. pathways to care while also improving our understanding of these pathways and their impact on early outcomes. Trial registration ClinicalTrials.gov: NCT02069925. Registered 20 February 2014

Epidemiology, practice of ventilation and outcome for patients at increased risk of postoperative pulmonary complications

BACKGROUND Limited information exists about the epidemiology and outcome of surgical patients at increased risk of postoperative pulmonary complications (PPCs), and how intraoperative ventilation was managed in these patients. OBJECTIVES To determine the incidence of surgical patients at increased risk of PPCs, and to compare the intraoperative ventilation management and postoperative outcomes with patients at low risk of PPCs. DESIGN This was a prospective international 1-week observational study using the ‘Assess Respiratory Risk in Surgical Patients in Catalonia risk score’ (ARISCAT score) for PPC for risk stratification. PATIENTS AND SETTING Adult patients requiring intraoperative ventilation during general anaesthesia for surgery in 146 hospitals across 29 countries. MAIN OUTCOME MEASURES The primary outcome was the incidence of patients at increased risk of PPCs based on the ARISCAT score. Secondary outcomes included intraoperative ventilatory management and clinical outcomes. RESULTS A total of 9864 patients fulfilled the inclusion criteria. The incidence of patients at increased risk was 28.4%. The most frequently chosen tidal volume (VT) size was 500 ml, or 7 to 9 ml kg1 predicted body weight, slightly lower in patients at increased risk of PPCs. Levels of positive end-expiratory pressure (PEEP) were slightly higher in patients at increased risk of PPCs, with 14.3% receiving more than 5 cmH2O PEEP compared with 7.6% in patients at low risk of PPCs (P < 0.001). Patients with a predicted preoperative increased risk of PPCs developed PPCs more frequently: 19 versus 7%, relative risk (RR) 3.16 (95% confidence interval 2.76 to 3.61), P < 0.001) and had longer hospital stays. The only ventilatory factor associated with the occurrence of PPCs was the peak pressure. CONCLUSION The incidence of patients with a predicted increased risk of PPCs is high. A large proportion of patients receive high VT and low PEEP levels. PPCs occur frequently in patients at increased risk, with worse clinical outcome

Epidemiology, practice of ventilation and outcome for patients at increased risk of postoperative pulmonary complications: LAS VEGAS - An observational study in 29 countries

BACKGROUND Limited information exists about the epidemiology and outcome of surgical patients at increased risk of postoperative pulmonary complications (PPCs), and how intraoperative ventilation was managed in these patients. OBJECTIVES To determine the incidence of surgical patients at increased risk of PPCs, and to compare the intraoperative ventilation management and postoperative outcomes with patients at low risk of PPCs. DESIGN This was a prospective international 1-week observational study using the ‘Assess Respiratory Risk in Surgical Patients in Catalonia risk score’ (ARISCAT score) for PPC for risk stratification. PATIENTS AND SETTING Adult patients requiring intraoperative ventilation during general anaesthesia for surgery in 146 hospitals across 29 countries. MAIN OUTCOME MEASURES The primary outcome was the incidence of patients at increased risk of PPCs based on the ARISCAT score. Secondary outcomes included intraoperative ventilatory management and clinical outcomes. RESULTS A total of 9864 patients fulfilled the inclusion criteria. The incidence of patients at increased risk was 28.4%. The most frequently chosen tidal volume (V T) size was 500 ml, or 7 to 9 ml kg−1 predicted body weight, slightly lower in patients at increased risk of PPCs. Levels of positive end-expiratory pressure (PEEP) were slightly higher in patients at increased risk of PPCs, with 14.3% receiving more than 5 cmH2O PEEP compared with 7.6% in patients at low risk of PPCs (P ˂ 0.001). Patients with a predicted preoperative increased risk of PPCs developed PPCs more frequently: 19 versus 7%, relative risk (RR) 3.16 (95% confidence interval 2.76 to 3.61), P ˂ 0.001) and had longer hospital stays. The only ventilatory factor associated with the occurrence of PPCs was the peak pressure. CONCLUSION The incidence of patients with a predicted increased risk of PPCs is high. A large proportion of patients receive high V T and low PEEP levels. PPCs occur frequently in patients at increased risk, with worse clinical outcome.</p

Optimal management of night eating syndrome: challenges and solutions

Suat Kucukgoncu, Margaretta Midura, Cenk Tek Department of Psychiatry, Yale University, New Haven, CT, USA Abstract: Night Eating Syndrome (NES) is a unique disorder characterized by a delayed pattern of food intake in which recurrent episodes of nocturnal eating and/or excessive food consumption occur after the evening meal. NES is a clinically important disorder due to its relationship to obesity, its association with other psychiatric disorders, and problems concerning sleep. However, NES often goes unrecognized by both health professionals and patients. The lack of knowledge regarding NES in clinical settings may lead to inadequate diagnoses and inappropriate treatment approaches. Therefore, the proper diagnosis of NES is the most important issue when identifying NES and providing treatment for this disorder. Clinical assessment tools such as the Night Eating Questionnaire may help health professionals working with populations vulnerable to NES. Although NES treatment studies are still in their infancy, antidepressant treatments and psychological therapies can be used for optimal management of patients with NES. Other treatment options such as melatonergic medications, light therapy, and the anticonvulsant topiramate also hold promise as future treatment options. The purpose of this review is to provide a summary of NES, including its diagnosis, comorbidities, and treatment approaches. Possible challenges addressing patients with NES and management options are also discussed. Keywords: night eating, obesity, psychiatric disorders, weight, depressio

How accurate are self-reported height and weight in the seriously mentally ill?

Aims: (1) Determine the accuracy of self-reported height, weight, and body mass index (BMI) calculated from those values in a population suffering from both serious mental illness (SMI) and overweight/obesity; (2) identify any associations that may predict error in self-reported measurements. Data were collected from screening appointments for two clinical trials for adult patients with SMI and overweight/obesity (BMI &gt; 28) who gained weight while on antipsychotic medications. Both studies were conducted at the same urban community mental health center. Differences in self-reported and measured height, weight, and BMI were calculated. Analysis included age, sex, race, psychiatric diagnosis, and level of education. BMI calculated from self-reported height and weight were significantly lower (-0.47kg/m2) than measured values. Height was significantly overestimated (1.04cm), while weight was underestimated (0.055kg). Men underestimated BMI more than women (0.55 vs. 0.41kg/m2). Increasing age correlated with lower accuracy of self-reported height and BMI. No differences due to psychiatric diagnosis, race, or education were found. BMI calculated from self-reported height and weight from patients with SMI and overweight/obesity is as accurate as the self-reported measurements collected from the general population and, while measurement is best, self-reports can be used as a tool for screening for obesity

How accurate are self-reported height and weight in the seriously mentally ill?

Aims: (1) Determine the accuracy of self-reported height, weight, and body mass index (BMI) calculated from those values in a population suffering from both serious mental illness (SMI) and overweight/obesity; (2) identify any associations that may predict error in self-reported measurements. Data were collected from screening appointments for two clinical trials for adult patients with SMI and overweight/obesity (BMI > 28) who gained weight while on antipsychotic medications. Both studies were conducted at the same urban community mental health center. Differences in self-reported and measured height, weight, and BMI were calculated. Analysis included age, sex, race, psychiatric diagnosis, and level of education. BMI calculated from self-reported height and weight were significantly lower (-0.47kg/m2) than measured values. Height was significantly overestimated (1.04cm), while weight was underestimated (0.055kg). Men underestimated BMI more than women (0.55 vs. 0.41kg/m2). Increasing age correlated with lower accuracy of self-reported height and BMI. No differences due to psychiatric diagnosis, race, or education were found. BMI calculated from self-reported height and weight from patients with SMI and overweight/obesity is as accurate as the self-reported measurements collected from the general population and, while measurement is best, self-reports can be used as a tool for screening for obesity

Glucose metabolism dysregulation at the onset of mental illness is not limited to first episode psychosis: A systematic review and meta‐analysis

Aim To compare the differences of glucose metabolism outcomes between treatment‐naïve, patients with first episode psychosis (FEP) and mood disorders. Methods We conducted a systematic review and meta‐analysis of glucose intolerance in treatment‐naïve, first episode patients with severe mental illnesses (SMIs). Results We identified 31 eligible studies. Compared to healthy controls, FEP group have higher insulin and insulin resistance levels, and both groups have higher glucose tolerance test results. No significant differences were found in glucose metabolism outcomes between FEP and mood disorder groups. Conclusions Our results highlight impaired glucose metabolism at the onset of SMIs, suggesting both patients with psychosis and mood disorders are high‐risk groups for diabetes development.<br /