Effectiveness of a two-stage strategy using the 16-item Prodromal Questionnaire (PQ16/fPQ16) and the Comprehensive Assessment of At Risk Mental States (CAARMS) in the early detection of Ultra High Risk (UHR) patients in Lebanon: a cross-sectional pilot study

OBJECTIVES

This study aims to identify the prevalence of Ultra High Risk (UHR) adults in a sample of patients in Lebanon and to compare screening and diagnostic tools.

METHODS

This is a cross-sectional pilot study which targeted patients aged 17-30 years willingly seeking psychiatric care in a university hospital in Beirut, Lebanon. Participants were invited to fill either the English or the French version of the Prodromal Questionnaire (respectively, PQ16 or fPQ16). The abbreviated version of the "Comprehensive Assessment of At-Risk Mental States" (CAARMS) was then administered to all participants. The latter were subsequently sorted into one of the three UHR groups - vulnerability group, attenuated psychosis (APS), intermittent psychosis (BLIPS) - or were diagnosed as suffering from a psychotic disorder.

RESULTS

Thirty-one patients participated in this study. The prevalence of positive screening on the PQ16/fPQ16 and positive diagnosis of UHR on the CAARMS were respectively of 61.29% and 45%. The APS group was the most prevalent (71.42%). A positive psychosis screening on PQ16/fPQ16 was statistically related to a UHR diagnosis on CAARMS (p-value: 0.011 on Chi2 test), OR=8.5 (95% CI: 1.4-50.9; p-value: 0.018). No relation was found between PQ16/fPQ16 results and risk stratification or between the number of "True" responses on PQ16/fPQ16 and the intensity of symptoms on CAARMS. PQ16/fPQ16 statements 5, 9, 11 and 16 predicted a UHR diagnosis on CAARMS (p-value of 0.045, 0.006, 0.045 and 0.045, respectively).

CONCLUSION

This two-stage strategy for identifying UHR patients can be adopted in a tertiary health care center.

At-risk mental states and personality traits: A cluster analysis approach on a group of help-seeking young adults

INTRODUCTION

Research on the relationship between personality and psychosis onset is growing, with the goal of preventing or intervening early in patients' vulnerability. The identification of individuals with at-risk mental states has enabled the development of early intervention strategies, such as Programma 2000, a youth mental health service that was implemented in Milan (Italy).

AIMS

Focusing on the 18-25 age range-the time window with the highest incidence of psychotic onset-this study aims to identify the personality traits that may characterize the at-risk mental states and the social functioning of a group of help-seeking young adults.

METHODS

The sample includes 169 people (48.5% males and 51.5% females). Data were collected during an initial assessment that comprised the Social and Occupational Functioning Assessment Scale, the Personality Inventory for DSM-5, the Checklist ERIraos and a clinical session.

RESULTS

Results identified a three-cluster solution based on the Checklist scores: Cluster 1 'Not at psychotic risk'; Cluster 2 'At intermediate risk'; Cluster 3 'With psychotic onset'. The multivariate analysis of the variance of personality traits shows significant differences among the clusters in negative affect, detachment and disinhibition. Higher scores in these traits may distinguish individuals, not at psychotic risk from those at intermediate risk or with psychotic onset. Moreover, social functioning was found to be negatively associated with clusters of psychotic risk.

CONCLUSION

Findings from this study highlighted the need to evaluate personalized interventions targeting such personality traits that could prevent psychotic transition and promote psychological well-being.

High blood levels of brain-derived neurotrophic factor (BDNF) mRNA in early psychosis are associated with inflammatory markers

The brain-derived neurotrophic factor (BDNF) single nucleotide polymorphism (SNP) rs6265C > T, Val66Met, affects BDNF secretion and has been related to inflammatory processes. Both the rs6265 and BDNF protein levels have been widely investigated in neuropsychiatric disorders with conflicting results. In the present study we examined BDNF mRNA expression in blood considering the SNP rs6265 and its relationship with inflammatory markers in the early stages of psychosis. The rs6265 genotype and blood BDNF mRNA levels were measured in 34 at-risk mental states (ARMS) individuals, 37 patients with first-episode psychosis (FEP) and 42 healthy controls (HCs) by quantitative PCR and reverse transcription (RT)-qPCR using validated TaqMan assays. We also obtained measures of interleukin-6 (IL6) mRNA levels, fibrinogen, neutrophil-to-lymphocyte ratio (NLR) and high-sensitivity C-reactive protein. We identified that BDNF mRNA levels were associated with the rs6265 genotype in an allele-dose-dependent manner, with low expression levels associated with the T allele (Met substitution). Thus, we controlled for the rs6265 genotype in all analyses. Blood BDNF mRNA levels differed between diagnostic groups: patients with FEP exhibited higher blood BDNF mRNA levels than ARMS individuals, and the lowest levels were observed in HC. In addition, we observed significant correlations between BDNF mRNA levels and inflammatory markers (IL6 mRNA levels and NLR), controlled by the rs6265 genotype, in ARMS and FEP groups. This exploratory study suggests that the rs6265 genotype is associated with differential blood mRNA expression of BDNF that increases with illness progression and correlated with inflammation in the early stages of psychosis.

Anxiety sensitivity dimensions in young individuals with at-risk-mental states

Anxiety Sensitivity (AS) is a transdiagnostic risk factor involved in the development and maintenance of different psychopathological conditions including anxiety disorders and psychosis. It consists of Physical Concerns (e.g., the belief that palpitations lead to a cardiac arrest), Social Concerns (the belief that observable anxiety reactions will elicit social rejection), and Cognitive Concerns (the belief that cognitive difficulties lead to mental incapacitation). No study investigated whether specific AS dimensions are related to At-Risk Mental States (ARMS). This study compared AS dimensions between young individuals with ARMS, patients after a recently occurred First-Episode Psychosis (FEP) and matched community controls. Based on models of ARMS and previous evidence, it was hypothesized that ARMS individuals have higher physical, social and cognitive concerns than FEP patients and controls. Thirty individuals with ARMS and 30 with FEP and 30 controls recruited from the general population completed the Anxiety Sensitivity Index-3 (ASI-3) and Penn State Worry Questionnaire. ARMS and FEP individuals had higher scores than controls on ASI-3 Cognitive Concerns [F_{( 2,87)}= 11.48, p<.001]. Individuals with ARMS had higher ASI-3 Physical Concerns scores than FEP patients [F_{( 2,87)}= 5.10, p<.01] and at a marginal significance level than controls. No between-group difference was found on Social Concerns. Higher ASI-3 Physical Concerns scores [B = -.324, Wald's χ² ₍₁₎ = 8.29, p < .01] and psychiatric comorbidities [B = -2.726, Wald's χ² ₍₁₎ = 9.33, p < .01] were significantly related to ARMS than FEP. Higher ASI-3 Social Concerns scores were related to FEP, despite at a marginal significance level [B =.213, Wald's χ² ₍₁₎ = 3.79, p = .052]. Interventions for AS Cognitive/Physical Concerns could be incorporated in the treatment of ARMS. A replication of the findings is required. Future longitudinal studies should examine whether Cognitive Concerns predict development of FEP in ARMS to improve early detection and prevention strategies.

Abnormalities in sleep patterns in individuals at risk for psychosis and bipolar disorder

AIM

To compare patterns of sleep and the presence of sleep disturbances in individuals in at-risk mental states (ARMS) for psychosis and bipolar disorder (BD) with a healthy control (HC) group.

METHODS

This was a comparative study involving 20 individuals in ARMS for psychosis or BD, according to the Comprehensive Assessment of At-Risk Mental States, and 20 age- and sex-matched healthy controls. Quality of sleep in the previous month was assessed using the Pittsburgh Sleep Quality Index, diurnal somnolence was evaluated using The Epworth Sleepiness Scale, and chronotype was determined using the Questionnaire of Morningness/Eveningness (QME). All of the participants underwent polysomnography (PSG) during the entire night for two consecutive nights. The first night aimed to adapt the subject to the environment, and only the data from the second night were used for the analysis.

RESULTS

Compared with the HC group, individuals in the ARMS group reported significantly worse sleep quality, as measured by the Pittsburgh Sleep Quality Index. Both groups had scores consistent with daytime sleepiness on the Epworth Sleepiness Scale, and there were no differences with regard to chronotype between the groups, with a predominance of the indifferent type in both groups. In the PSG assessment, we observed increased Sleep Latency (SL) and increased Rapid Eye Movement Sleep Onset Latency (REMOL) in the ARMS group, compared to the HC group.

CONCLUSION

The results of this study indicated that sleep abnormalities could be found early in the course of mental diseases, even in at-risk stages, and support the further investigation of their predictive value in the transition to psychosis and BD.

Circadian rest-activity rhythm in individuals at risk for psychosis and bipolar disorder

BACKGROUND

At-risk mental states (ARMS) are clinical syndromes that are associated with higher risk, compared with the general population, for developing psychosis and bipolar disorder. Circadian rhythm misalignments have been proposed to be part of this early phase of the clinical course.

OBJECTIVE

To compare circadian rhythm of activity and rest changes between ARMS individuals and a healthy control group.

METHODS

Forty volunteers of both genders, aged between 13 and 27years old, participated in this study (n=20 ARMS group, and n=20 healthy controls). The ARMS individuals were classified as ultra-high risk for psychosis according to the CAARMS (Comprehensive Assessment of At-risk Mental State) or at high risk for bipolar disorder according to criteria proposed by Bechdolf and colleagues. Participants used an actigraph for fifteen days, kept a sleep diary, and completed the Epworth Sleepiness Scale, the Pittsburgh Sleep Quality Index, and a Morningness-Eveningness Questionnaire.

RESULTS

Compared with healthy volunteers, the ARMS group presented worse sleep quality (P=0.010); longer nap durations (P=0.038), shorter wake times (P=0.001), higher total sleep times (P=0.011), and shorter activity duration (P=0.021), sleep rhythms were more fragmented, the circadian rest-activity rhythms were less synchronized with the dark-light cycle and had lower amplitudes of motor activity.

CONCLUSION

The results suggest alterations in the circadian rest-activity rhythms (and likely in sleep-wake cycle patterns) in ARMS individuals compared with healthy controls. It is possible that circadian rhythms of activity and rest changes are one of the prodromal clinical and behavioral expressions of the brain changes that underlie ARMS individuals.

Unhealthy lifestyle in early psychoses: the role of life stress and the hypothalamic-pituitary-adrenal axis

An unhealthy lifestyle is thought to contribute to the metabolic syndrome in subjects with psychoses. In the present study we aimed to study whether life stress or cortisol measures may influence dietary patterns in subjects with early stages of psychoses. We studied 81 subjects with early psychoses (65 subjects with a psychotic disorder [PD] and <5 years of illness; 16 subjects at risk for psychosis [high-risk, HR]) and a control group of 25 healthy subjects (HS). Dietary habits were examined by a dietician, who registered food intake (24h recall). Physical activity was assessed by validated questionnaire. Life stress was assessed with Holmes-Rahe Social Readjustment Scale. Fasting morning salivary and plasma cortisol levels were determined. We found that PD and HR reported an unhealthier lifestyle with more smoking, reduced physical activity and poorer dietary habits. HR reported increased intake of calories and saturated fatty acids and reduced protein consumption, when compared to HS. Life stress was a predictor of these adverse behaviours, although we found opposite associations in HR and PD. Life stress was associated with increased intake of refined sugar in PD and decreased intake in HR and HS. Salivary cortisol was related to increased intake of saturated fat only in HR subjects, but cortisol levels in plasma or saliva were not associated with other dietary habits or obesity measures (BMI, waist circumference). Our study suggests that unhealthy diet in early psychoses is influenced by stress, but our data do not support this effect being mediated by hypercortisolism. Future preventive interventions in psychosis may target dietary habits, particularly for those who are at risk for psychosis.