Bipolar disorder (BD) is one of the most burdensome psychiatric illnesses, being associated with a negative long-term outcome and high suicide rate. Although affective temperaments are considered possible mediators of outcome, their role on the course and outcome of BD remains poorly studied.

The aims of the present study are to describe the clinical characteristics of patients with BD more frequently associated with the different affective temperaments and to verify which affective temperaments are associated with a more severe clinical picture in a sample of patients with BD.

All patients with BD referring to the outpatient units of two Italian university sites have been recruited. Patients’ psychiatric symptoms, affective temperaments, and quality of life were investigated through validated assessment instruments.

199 patients were recruited. 54.8% of patients had a diagnosis of bipolar I disorder. 56.8% of the sample reported at least one episode of aggressive behaviours and 30.2% of suicidal attempt. Predominant cyclothymic and irritable temperaments predicted more frequent relapses, a poorer quality of life (p<;0.05), more aggressive behaviours and suicide attempts (p<;0.01). The predominant hyperthymic disposition was a protective factor for several outcome measures, including relapses and suicidality (p<;0.01), and was correlated with a less severity of psychiatric symptoms and later age at onset (p<;0.05).

Early identification of affective temperaments in BD patients can help clinicians to identify those who could show a worse prognosis. A screening of affective temperaments can be useful to develop early targeted integrated pharmacological and psychosocial interventions.

No significant relationships.

To validate the Psychogeriatric Inventory of Disconcerting Symptoms and Syndromes (PGI-DSS), a single scale in A4 format comprising four disconcerting syndromes (violence, refusal, words, and acts). The scale enables an immediate conversion of a qualitative assessment to a quantitative assessment. The PGI-DSS was compared with the Neuro Psychiatric Inventory for Nursing Homes (NPI-NH).

Cross-sectional descriptive and correlational studies.

Thirty geriatric care units and nursing homes.

Raters interviewed nurses and nursing assistants in charge of older adults hospitalized in geriatric care units or living in nursing homes (N = 226).

The French version of the PGI-DSS and the French version of the NPI-NH.

The correlation coefficient between the PGI-DSS and the NPI-NH was 0.70 (p < 0.0001). The PGI-DSS threshold score corresponding to the NPI threshold score was 17 (specificity: 87%, sensitivity: 63%). Four statistical factors, corresponding to the four clinical syndromes, explained 53.4% of the total variance. The internal consistency of the PGI-DSS (Cronbach’s alpha = 0.695) was higher than that of the NPI-NH (Cronbach’s alpha = 0.474). Test–retest reliability was better for the PGI-DSS than for the NPI-NH. The intraclass correlations were 0.80 [0.73; 0.86] and 0.75 [0.67; 0.83], respectively. Interrater reliability was better for the PGI-DSS than for the NPI-NH. The intraclass correlations were 0.65 [0.55–0.76] and 0.55 [0.43–0.68], respectively.

The PGI-DSS was developed to overcome the limitations of the NPI-NH. New, brief, easy to administer in less than 4 minutes, foldable in four parts, pocket-sized, easy-to-read in the palm of the hand, PGI-DSS could have similar or better statistical properties than the NPI-NH. Whereas the 10 domains in the NPI-NH have clinical utility for clinicians, the four easily understandable syndromes in the PGI-DSS can help avoid inappropriate attitudes and can guide psychosocial interventions. It could likewise improve dialogue between caregivers and clinicians.

Increasing evidence suggests psychosis may be more meaningfully viewed in dimensional terms rather than as discrete categorical states and that specific symptom clusters may be identified. If so, particular risk factors and premorbid factors may predict these symptom clusters.

(i) To explore, using principal component analysis, whether specific factors for psychotic symptoms can be isolated. (ii) To establish the predictors of the different symptom factors using multiple regression techniques.

One hundred and eighty-nine inpatients with psychotic illness were recruited and information on family history, premorbid factors and current symptoms obtained from them and their mothers.

Seven distinct symptom components were identified. Regression analysis failed to identify any developmental predictors of depression or mania. Delusions/hallucinations were predicted by a family history of schizophrenia and by poor school functioning in spite of normal premorbid IQ (F = 6.5; P < 0.001); negative symptoms by early onset of illness, developmental delay and a family history of psychosis (F = 4.1; P = 0.04). Interestingly disorganisation was predicted by the combination of family history of bipolar disorder and low premorbid IQ (F = 4.9; P = 0.003), and paranoia by obstetric complications (OCs) and poor school functioning (F = 4.2; P = 0.01).

Delusions and hallucinations, negative symptoms and paranoia all appeared to have a developmental origin though they were associated with different childhood problems. On the other hand, neither mania nor depression was associated with childhood dysfunction. Our most striking finding was that disorganisation appeared to arise when a familial predisposition to mania was compounded by low premorbid IQ.

Little accurate information is available about the symptomatology of real-life panic attacks and about how well they are reproduced by an experimental model such as the 35% CO2 challenge.

Real-life panic symptoms were assessed in a group of 67 panic disorder patients, using daily life monitoring. Panic symptoms elicited by a 35% CO2 challenge were assessed in 61 panic disorder patients, and their frequency was compared with the real-life symptoms.

The most frequent real-life symptoms were palpitations, dizziness and trembling. The 35% CO2 challenge reproduced well the majority of real-life symptoms.

The findings suggest that the 35% CO2 challenge is a marker for spontaneous panic attacks, which are considered the core of panic disorder.