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1. Familial aggregation of MATRICS Consensus Cognitive Battery scores in a large sample o outpatients with schizophrenia and their unaffected relatives

Author

Mucci A., Galderisi S., Green M. F., Nuechterlein K., Rucci P., Gibertoni D., Rossi A., Rocca P., Bertolino A., Bucci P., Hellemann G., Spisto M., Palumbo D., Aguglia E., Amodeo G., Amore M., Bellomo A., Brugnoli R., Carpiniello B., Dell'osso L., Di Fabio F., Di Giannantonio M., Di Lorenzo G., Marchesi C., Monteleone P., Montemagni C., Oldani L., Romano R., Roncone R., Stratta P., Tenconi E., Vita A., Zeppegno P., Maj M., Piegari G., Vignapiano A., Caputo F., Plescia G., Montefusco V., Mancini M., Attrotto M. T., Paladini V., Atti A. R., Barlati S., Galluzzo A., Mussoni C., Pinna F., Sanna L., Primavera D., Signorelli M. S., Minutolo G., Cannavo D., Acciavatti T., Santacroce R., Corbo M., Altamura M., La Montagna M., Carnevale R., Pizziconi G., Rossi R., Santarelli V., Giusti L., Malavolta M., Salza A., Murri M. B., Calcagno P., Bugliani M., Serati M., Orsenigo G., Gramaglia C., Gattoni E., Cattaneo C., Campagnola N., Ferronato L., Piovan C., Tonna M., Bettini E., Ossola P., Gesi C., Landi P., Rutigliano G., Biondi M., Girardi P., Buzzanca A., Zocconali M., Comparelli A., Mancinelli I., Niolu C., Ribolsi M., Siracusano A., Corrivetti G., Bartoli L., Diasco F., Bolognesi S., Goracci A., Fagiolini A., Bellino S., Cardillo S., Bracale N., Mucci, A., Galderisi, S., Green, M. F., Nuechterlein, K., Rucci, P., Gibertoni, D., Rossi, A., Rocca, P., Bertolino, A., Bucci, P., Hellemann, G., Spisto, M., Palumbo, D., Aguglia, E., Amodeo, G., Amore, M., Bellomo, A., Brugnoli, R., Carpiniello, B., Dell'Osso, L., Di Fabio, F., Di Giannantonio, M., Di Lorenzo, G., Marchesi, C., Monteleone, P., Montemagni, C., Oldani, L., Romano, R., Roncone, R., Stratta, P., Tenconi, E., Vita, A., Zeppegno, P., Maj, M., Piegari, G., Vignapiano, A., Caputo, F., Plescia, G., Montefusco, V., Mancini, M., Attrotto, M. T., Paladini, V., Atti, A. R., Barlati, S., Galluzzo, A., Mussoni, C., Pinna, F., Sanna, L., Primavera, D., Signorelli, M. S., Minutolo, G., Cannavo, D., Acciavatti, T., Santacroce, R., Corbo, M., Altamura, M., La Montagna, M., Carnevale, R., Pizziconi, G., Rossi, R., Santarelli, V., Giusti, L., Malavolta, M., Salza, A., Murri, M. B., Calcagno, P., Bugliani, M., Serati, M., Orsenigo, G., Gramaglia, C., Gattoni, E., Cattaneo, C., Campagnola, N., Ferronato, L., Piovan, C., Tonna, M., Bettini, E., Ossola, P., Gesi, C., Landi, P., Rutigliano, G., Biondi, M., Girardi, P., Buzzanca, A., Zocconali, M., Comparelli, A., Mancinelli, I., Niolu, C., Ribolsi, M., Siracusano, A., Corrivetti, G., Bartoli, L., Diasco, F., Bolognesi, S., Goracci, A., Fagiolini, A., Bellino, S., Cardillo, S., Bracale, N., and di Giannantonio, M.

Subjects
Attention, MCCB Italian standardization, reasoning and problem solving, social cognition, verbal learning, working memory, Proband, Adult, Male, Consensus, Psychometrics, Context (language use), social cognition, Verbal learning, working memory, 03 medical and health sciences, Attention, MCCB Italian standardization, reasoning and problem solving, verbal learning, Aged, Cognition, Cognitive Dysfunction, Family, Female, Humans, Middle Aged, Outpatients, Psychiatric Status Rating Scales, Schizophrenia, Schizophrenic Psychology, 0302 clinical medicine, Social cognition, medicine, Applied Psychology, Psychiatry and Mental Health, Family aggregation, medicine.disease, 030227 psychiatry, Settore MED/25, Psychology, MATRICS, Neurocognitive, 030217 neurology & neurosurgery, Clinical psychology
Abstract

BackgroundThe increased use of the MATRICS Consensus Cognitive Battery (MCCB) to investigate cognitive dysfunctions in schizophrenia fostered interest in its sensitivity in the context of family studies. As various measures of the same cognitive domains may have different power to distinguish between unaffected relatives of patients and controls, the relative sensitivity of MCCB tests for relative–control differences has to be established. We compared MCCB scores of 852 outpatients with schizophrenia (SCZ) with those of 342 unaffected relatives (REL) and a normative Italian sample of 774 healthy subjects (HCS). We examined familial aggregation of cognitive impairment by investigating within-family prediction of MCCB scores based on probands’ scores.MethodsMultivariate analysis of variance was used to analyze group differences in adjusted MCCB scores. Weighted least-squares analysis was used to investigate whether probands’ MCCB scores predicted REL neurocognitive performance.ResultsSCZ were significantly impaired on all MCCB domains. REL had intermediate scores between SCZ and HCS, showing a similar pattern of impairment, except for social cognition. Proband's scores significantly predicted REL MCCB scores on all domains except for visual learning.ConclusionsIn a large sample of stable patients with schizophrenia, living in the community, and in their unaffected relatives, MCCB demonstrated sensitivity to cognitive deficits in both groups. Our findings of significant within-family prediction of MCCB scores might reflect disease-related genetic or environmental factors.

Published
2018

2. Pathways to functional outcome in subjects with schizophrenia living in the community and their unaffected first-degree relatives

Author

Galderisi, S, Rossi, A, Rocca, P, Bertolino, A, Mucci, A, Bucci, P, Rucci, P, Gibertoni, D, Aguglia, E, Amore, M, Blasi, G, Comparelli, A, Di Giannantonio, M, Goracci, A, Marchesi, C, Monteleone, P, Montemagni, C, Pinna, F, Roncone, R, Siracusano, A, Stratta, P, Torti, M, Vita, A, Zeppegno, P, Chieffi, M, Maj, M, Piegari, G, Merlotti, E, Rocco, M, Campana, T, Plescia, G, Montefusco, V, Porcelli, S, Barlati, S, Carpiniello, B, Signorelli, M, Acciavatti, T, Bellomo, A, Respino, M, Di Emidio, G, Giusti, L, Oldani, L, Tomasetti, C, Tenconi, E, Ossola, P, Dell'Osso, L, Squarcione, C, Brugnoli, R, Niolu, C, Bartoli, L, Bolognesi, S, Frieri, T, Galderisi, Silvana, Rossi, Alessandro, Rocca, Paola, Bertolino, Alessandro, Mucci, Armida, Bucci, Paola, Rucci, Paola, Gibertoni, Dino, Aguglia, Eugenio, Amore, Mario, Blasi, Giuseppe, Comparelli, Anna, Di Giannantonio, Massimo, Goracci, Arianna, Marchesi, Carlo, Monteleone, Palmiero, Montemagni, Cristiana, Pinna, Federica, Roncone, Rita, Siracusano, Alberto, Stratta, Paolo, Torti, Maria Chiara, Vita, Antonio, Zeppegno, Patrizia, Chieffi, Marcello, and Maj, Mario

Subjects
Adult, Employment, Male, medicine.medical_specialty, Social Stigma, Interpersonal relationships, Models, Psychological, Avolition, Cognition, Schizophrenia first-degree relatives, Structural equation model, Work skills, Psychiatry and Mental Health, Biological Psychiatry, 03 medical and health sciences, 0302 clinical medicine, Work skill, Social cognition, medicine, Humans, Family, Genetic Predisposition to Disease, Interpersonal Relations, First-degree relatives, Psychiatry, Settore MED/25 - Psichiatria, Psychiatric Status Rating Scales, Models, Statistical, medicine.disease, Interpersonal relationship, 030227 psychiatry, Psychiatry and Mental health, Schizophrenia, Educational Status, Schizophrenia first-degree relative, Female, Schizophrenic Psychology, medicine.symptom, Biological psychiatry, Psychology, Neurocognitive, 030217 neurology & neurosurgery, Psychopathology, Clinical psychology
Abstract

Rationale Variables influencing real-life functioning have repeatedly been modeled in schizophrenia subjects but not systematically investigated in their unaffected first-degree relatives (SRs), in whom milder forms of deficits reported in schizophrenia have been observed, but confounders of clinical cohorts are not in play. Demonstrating that pathways to functional outcome are similar between patients and SRs would validate structural models developed in schizophrenia subjects. The present multicenter study aimed to explore whether variables associated with real-life functioning are similar in schizophrenia patients and their unaffected relatives. Methods The study sample included 921 schizophrenia patients, 379 SRs and 780 healthy controls. Structural Equation Models (SEMs) were used in patients and SRs to test associations of psychopathological dimensions, neurocognition, social cognition, resilience, perceived stigma and functional capacity with real-life functioning domains, impaired in both patients and SRs. Results Interpersonal Relationships and Work Skills were the only functional domains impaired in both patients and SRs. For both domains, functional impairment in patients was found to predict impairment in unaffected relatives, suggesting the involvement of similar illness-related vulnerability factors. In both groups variables significantly associated with Interpersonal Relationships included Social Cognition, Neurocognition, Avolition, Resilience, Disorganization, Perceived Stigma and Gender, and those significantly associated with Work Skills included Social Cognition, Neurocognition and Disorganization. Conclusions Pathways to functional outcome for Interpersonal relationships and Work skills are similar between schizophrenia patients and their unaffected first-degree relatives. These findings validate, in the absence of confounders of clinical cohorts, structural models of determinants of functional outcome in people with schizophrenia.

Published
2016
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3. Prevalence and correlates of QTc prolongation in Italian psychiatric care: cross-sectional multicentre study

Author

Nosè, M., Bighelli, I., Castellazzi, M., Martinotti, G., Carrà, G., Lucii, C., Ostuzzi, G., Sozzi, F., Barbui, C., Acciavatti, T., Adamo, A., Aguglia, A., Albanese, C., Baccaglini, S., Bardicchia, F., Barone, R., Barone, Y., Bartoli, F., Bergamini, C., Bertolini, F., Bolognesi, S., Bordone, A., Bortolaso, P., Bugliani, M., Calandra, C., Calò, S., Cardamone, G., Caroleo, M., Carra, E., Carretta, D., Chiocchi, L., Clerici, M., Corbo, M., Corsi, E., Costanzo, R., Costoloni, G., D'Arienzo, F., Debolini, S., De Capua, A., Di Napoli, W. A., Dinelli, M., Facchi, E., Fargnoli, F., Fiori, F., Franchi, A., Gardellin, F., Gazzoletti, E., Ghio, L., Giacomin, M., Gregis, M., Iovieno, N., Koukouna, D., Lax, A., Lintas, C., Luca, A., Luca, M., Lussetti, M., Madrucci, M., Magnani, N., Magni, L., Manca, E., Martorelli, C., Mattafirri, R., Percudani, M., Perini, G., Petrosemolo, P., Pezzullo, M., Piantanida, S., Pinna, F., Prato, K., Prestia, D., Quattrone, D., Reggianini, C., Restaino, F., Ribolsi, M., Rinosi, G., Rizzo, C., Rizzo, R., Roggi, M., Rossi, G., Rossi, S., Ruberto, S., Santoro, R., Santi, M., Signorelli, M. S., Soscia, F., Staffa, P., Stilo, M., Strizzolo, S., Suraniti, F., Tavian, N., Tortelli, L., Tosoni, F., Valdagno, M., Zanobini, V., Nosè, M, Bighelli, I, Castellazzi, M, Martinotti, G, Carra', G, Lucii, C, Ostuzzi, G, Sozzi, F, Barbui, C, Acciavatti, T, Adamo, A, Aguglia, A, Albanese, C, Baccaglini, S, Bardicchia, F, Barone, R, Barone, Y, Bartoli, F, Bergamini, C, Bertolini, F, Bolognesi, S, Bordone, A, Bortolaso, P, Bugliani, M, Calandra, C, Calò, S, Cardamone, G, Caroleo, M, Carra, E, Carretta, D, Chiocchi, L, Clerici, M, Corbo, M, Corsi, E, Costanzo, R, Costoloni, G, D'Arienzo, F, Debolini, S, De Capua, A, Di Napoli, W, Dinelli, M, Facchi, E, Fargnoli, F, Fiori, F, Franchi, A, Gardellin, F, Gazzoletti, E, Ghio, L, Giacomin, M, Gregis, M, Iovieno, N, Koukouna, D, Lax, A, Lintas, C, Luca, A, Luca, M, Lussetti, M, Madrucci, M, Magnani, N, Magni, L, Manca, E, Martorelli, C, Mattafirri, R, Percudani, M, Perini, G, Petrosemolo, P, Pezzullo, M, Piantanida, S, Pinna, F, Prato, K, Prestia, D, Quattrone, D, Reggianini, C, Restaino, F, Ribolsi, M, Rinosi, G, Rizzo, C, Rizzo, R, Roggi, M, Rossi, G, Rossi, S, Ruberto, S, Santoro, R, Santi, M, Signorelli, M, Soscia, F, Staffa, P, Stilo, M, Strizzolo, S, Suraniti, F, Tavian, N, Tortelli, L, Tosoni, F, Valdagno, M, and Zanobini, V

Subjects
Adult, Male, medicine.medical_specialty, Psychotropic drugs, Epidemiology, medicine.medical_treatment, Long QT syndrome, Antidepressant, Drug overdose, Adverse effect, QT interval, Antipsychotic, 03 medical and health sciences, Electrocardiography, 0302 clinical medicine, Risk Factors, Psychotropic drug, medicine, Prevalence, Humans, cardiovascular diseases, Psychiatry, Settore MED/25 - Psichiatria, Polypharmacy, business.industry, Environmental and Occupational Health, Public Health, Environmental and Occupational Health, Public Health, Psychiatry and Mental Health, Original Articles, medicine.disease, 030227 psychiatry, Substance abuse, Long QT Syndrome, Cross-Sectional Studies, Italy, Aripiprazole, Female, business, adverse effect, antipsychotic, psychotropic drugs, Antipsychotic Agents, 030217 neurology & neurosurgery, medicine.drug
Abstract

Aims.In recent years several warnings have been issued by regulatory authorities on the risk of electrocardiogram abnormalities in individuals exposed to psychotropic drugs. As a consequence of these warnings, monitoring of the QT interval corrected for heart rate (QTc) has become increasingly common. This study was conducted to measure the frequency of QTc prolongation in unselected psychiatric patients, and to document the associated factors using a cross-sectional approach.Method.The study was carried out in 35 Italian psychiatric services that are part of the STAR (Servizi Territoriali Associati per la Ricerca) Network, a research group established to produce scientific knowledge by collecting data under ordinary circumstances. During a three-month period, a consecutive unselected series of both in- and out-patients were enrolled if they performed an ECG during the recruitment period and were receiving psychotropic drugs on the day ECG was recorded.Results.During the recruitment period a total of 2411 patients were included in the study. The prevalence of QTc prolongation ranged from 14.7% (men) and 18.6% (women) for the cut-off of 450 ms, to 1.26% (men) and 1.01% (women) for the cut-off of 500 ms. In the multivariate model conducted in the whole sample of patients exposed to psychotropic drugs, female sex, age, heart rate, alcohol and/or substance abuse, cardiovascular diseases and cardiovascular drug treatment, and drug overdose were significantly associated with QTc prolongation. In patients exposed to antipsychotic drugs, polypharmacy was positively associated with QTc prolongation, whereas use of aripiprazole decreased the risk. In patients exposed to antidepressant drugs, use of citalopram, citalopram dose and use of haloperidol in addition to antidepressant drugs, were all positively associated with QTc prolongation.Conclusions.The confirmation of a link between antipsychotic polypharmacy and QTc prolongation supports the current guidelines that recommend avoiding the concurrent use of two or more antipsychotic drugs, and the confirmation of a link between citalopram and QTc prolongation supports the need for routine QTc monitoring. The relatively low proportion of patients with QTc prolongation not only suggests compliance with current safety warnings issued by regulatory authorities, but also casts some doubts on the clinical relevance of QTc prolongation related to some psychotropic drugs.

Published
2016

4. Antipsychotic dose mediates the association between polypharmacy and corrected QT interval

Author

Barbui, Corrado, Bighelli, Irene, Carrà, Giuseppe, Castellazzi, Mariasole, Lucii, Claudio, Martinotti, Giovanni, Nosè, Michela, Ostuzzi, Giovanni, Acciavatti, T., Adamo, A., Aguglia, A., Albanese, C., Baccaglini, S., Bardicchia, F., Barone, R., Barone, Y., Bartoli, F., Bergamini, C., Bertolini, F., Bolognesi, S., Bordone, A., Bortolaso, P., Bugliani, M., Calandra, C., Calò, S., Cardamone, G., Caroleo, M., Carra, E., Car-Retta, D., Chiocchi, L., Cinosi, E., Clerici, M., Corbo, M., Corsi, E., Costanzo, R., Costoloni, G., D'Arienzo, F., Debolini, S., De Capua, A., Di Napoli, W. A., Dinelli, M., Facchi, E., Fargnoli, F., Fiori, F., Franchi, A., Gardellin, F., Gastaldon, C., Gazzoletti, E., Ghio, L., Giacomin, M., Gregis, M., Iovieno, N., Koukouna, D., Lax, A., Lintas, C., Luca, A., Luca, M., Lussetti, M., Madrucci, M., Magnani, N., Magni, L., Manca, E., Martorelli, C., Mattafirri, R., Paladini, C., Papola, D., Percudani, M., Perini, G., Petrosemolo, P., Pezzullo, M., Piantanida, S., Pinna, F., Prato, K., Prestia, D., Quattrone, D., Reggianini, C., Restaino, F., Ribolsi, M., Rinosi, G., Rizzo, C., Rizzo, R., Roggi, M., Rossi, G., Rossi, S., Ruberto, S., Santi, M., Santoro, R., Sepede, G., Signorelli, M. S., Soscia, F., Sozzi, F., Staffa, P., Stilo, M., Strizzolo, S., Suraniti, F., Tavian, N., Tortelli, L., Tosoni, F., Valdagno, M., Zanobini, V., Barbui, C, Bighelli, I, Carrà, G, Castellazzi, M, Lucii, C, Martinotti, G, Nosè, M, Ostuzzi, G, Acciavatti, T, Adamo, A, Aguglia, A, Albanese, C, Baccaglini, S, Bardicchia, F, Barone, R, Barone, Y, Bartoli, F, Bergamini, C, Bertolini, F, Bolognesi, S, Bordone, A, Bortolaso, P, Bugliani, M, Calandra, C, Calò, S, Cardamone, G, Caroleo, M, Carra, E, Carretta, D, Chiocchi, L, Cinosi, E, Clerici, M, Corbo, M, Corsi, E, Costanzo, R, Costoloni, G, D'Arienzo, F, Debolini, S, De Capua, A, Di Napoli, W, Dinelli, M, Facchi, E, Fargnoli, F, Fiori, F, Franchi, A, Gardellin, F, Gastaldon, C, Gazzoletti, E, Ghio, L, Giacomin, M, Gregis, M, Iovieno, N, Koukouna, D, Lax, A, Lintas, C, Luca, A, Luca, M, Lussetti, M, Madrucci, M, Magnani, N, Magni, L, Manca, E, Martorelli, C, Mattafirri, R, Paladini, C, Papola, D, Percudani, M, Perini, G, Petrosemolo, P, Pezzullo, M, Piantanida, S, Pinna, F, Prato, K, Prestia, D, Quattrone, D, Reggianini, C, Restaino, F, Ribolsi, M, Rinosi, G, Rizzo, C, Rizzo, R, Roggi, M, Rossi, G, Rossi, S, Ruberto, S, Santi, M, Santoro, R, Sepede, G, Signorelli, M, Soscia, F, Sozzi, F, Staffa, P, Stilo, M, Strizzolo, S, Suraniti, F, Tavian, N, Tortelli, L, Tosoni, F, Valdagno, M, and Zanobini, V

Subjects
Male, Genetics and Molecular Biology (all), medicine.medical_treatment, Aripiprazole, lcsh:Medicine, Pharmacology, Cardiovascular Medicine, dose-dependent risk, Biochemistry, Electrocardiography, 0302 clinical medicine, Heart Rate, Medicine and Health Sciences, 80 and over, Antipsychotics, lcsh:Science, Aged, 80 and over, Multidisciplinary, Pharmaceutics, Medicine (all), Mental Disorders, Confounding, Drug Information, Drugs, Middle Aged, Long QT Syndrome, Bioassays and Physiological Analysis, Italy, Cardiovascular Diseases, Cardiology, Female, QT interval corrected for heart rate, Adult, Aged, Antipsychotic Agents, Cross-Sectional Studies, Dose-Response Relationship, Drug, Haloperidol, Humans, Young Adult, Polypharmacy, Agricultural and Biological Sciences (all), medicine.drug, Research Article, medicine.medical_specialty, Patients, QTc lenghtening, therapy risk, Long QT syndrome, antipsychotic drugs, Research and Analysis Methods, polypharmacy, QT interval, 03 medical and health sciences, Dose Prediction Methods, Drug Therapy, Internal medicine, Dose-Response Relationship, Drug, Biochemistry, Genetics and Molecular Biology (all), Heart rate, medicine, Antipsychotic, Inpatients, business.industry, lcsh:R, Electrophysiological Techniques, medicine.disease, 030227 psychiatry, Health Care, Defined daily dose, Settore MED/25, lcsh:Q, Cardiac Electrophysiology, business, 030217 neurology & neurosurgery
Abstract

Antipsychotic (AP) drugs have the potential to cause prolongation of the QT interval corrected for heart rate (QTc). As this risk is dose-dependent, it may be associated with the number of AP drugs concurrently prescribed, which is known to be associated with increased cumulative equivalent AP dosage. This study analysed whether AP dose mediates the relationship between polypharmacy and QTc interval. We used data from a cross-sectional survey that investigated the prevalence of QTc lengthening among people with psychiatric illnesses in Italy. AP polypharmacy was tested for evidence of association with AP dose and QTc interval using the Baron and Kenny mediational model. A total of 725 patients were included in this analysis. Of these, 186 (26%) were treated with two or more AP drugs (AP polypharmacy). The mean cumulative AP dose was significantly higher in those receiving AP polypharmacy (prescribed daily dose/defined daily dose = 2.93, standard deviation 1.31) than monotherapy (prescribed daily dose/defined daily dose = 0.82, standard deviation 0.77) (z = -12.62, p < 0.001). Similarly, the mean QTc interval was significantly longer in those receiving AP polypharmacy (mean = 420.86 milliseconds, standard deviation 27.16) than monotherapy (mean = 413.42 milliseconds, standard deviation 31.54) (z = -2.70, p = 0.006). The Baron and Kenny mediational analysis showed that, after adjustment for confounding variables, AP dose mediates the association between polypharmacy and QTc interval. The present study found that AP polypharmacy is associated with QTc interval, and this effect is mediated by AP dose. Given the high prevalence of AP polypharmacy in real-world clinical practice, clinicians should consider not only the myriad risk factors for QTc prolongation in their patients, but also that adding a second AP drug may further increase risk as compared with monotherapy.

Published
2016

5. Social cognition in people with schizophrenia: a cluster-analytic approach

Author

Rocca, P., Galderisi, S., Rossi, A., Bertolino, A., Rucci, P., Gibertoni, D., Montemagni, C., Sigaudo, M., Mucci, A., Bucci, P., Acciavatti, T., Aguglia, E., Amore, M., Bellomo, A., Deronchi, D., Osso, L., Difabio, F., Girardi, P., Goracci, A., Marchesi, C., Monteleone, P., Niolu, C., Pinna, F., Roncone, R., EMILIO SACCHETTI, Santonastaso, P., Zeppegno, P., Maj, M., Chieffi, M., Piegari, M., Vignapiano, A., Merlotti, E., Plescia, G., Montefusco, V., Bava, I., Mancini, I., Sandei, L., Antoniettanettis, I., Rizzo, G., Mancini, M., Porcelli, S., Salfi, G., Bianchini, O., Antonio Vita, Galluzzo, G., Barlati, S., Carpiniello, B., Primavera, D., Floris, S., Salvina, Signorelli, Minutolo, B., Cannavò, G., Corbo, D., Vellante, M., Alessandrini, F., Poli, M., Altamura, M., Petito, M., Marasco, A., Vaggi, D., Calcagno, M., Marozzi, P., Ussorio, V., Giusti, D., Malavolta, L., Diemidio, M., Stratta, G., Collazzoni, P., Debartolomeis, P., Gramaglia, P., Gili, C., Gattoni, S., Ferronato, E., Giannunzio, L., Tenconi, V., Tonna, E., Ossola, M., Camerlengo, P., Landi, E., Rutigliano, P., Buzzanca, G., Paolemili, A., Frascarelli, M., Comparelli, M., Corigliano, A., Brugnoli, V., Siracusano, R., Troisi, A., Dilorenzo, A., Filippo, Di, Longobardi, C., Castaldo, N., Fagiolini, E., Bolognesi, A., Capua, De, A, DIPARTIMENTO DI SCIENZE BIOMEDICHE E NEUROMOTORIE, Facolta' di MEDICINA e CHIRURGIA, AREA MIN. 06 - Scienze mediche, Da definire, Rocca, P, Galderisi, S., Rossi, A., Bertolino, A., Rucci, P., Gibertoni, D., Montemagni, C., Sigaudo, M., Mucci, A., Bucci, P., Acciavatti, T., Aguglia, E., Amore, M., Bellomo, A., De Ronchi, D., Dell'Osso, L., Di Fabio, F., Girardi, P., Goracci, A., Marchesi, C., Monteleone, P., Niolu, C., Pinna, F., Roncone, R., Sacchetti, E., Santonastaso, P., Zeppegno, P., Maj, M., Rocca, P., Chieffi, M., Piegari, M., Vignapiano, A., Merlotti, E., Plescia, G., Montefusco, V., Bava, I., Mancini, I., Sandei, L., Antonietta Nettis, I., Rizzo, G., Mancini, M., Porcelli, S., Salfi, G., Bianchini, O., Vita, A., Galluzzo, G., Barlati, S., Carpiniello, B., Primavera, D., Floris, S., Salvina Signorelli, B., Minutolo, G., Cannavo, D., Corbo, M., Vellante, F., Alessandrini, M., Poli, M., Altamura, M., Petito, A., Marasco, D., Vaggi, M., Calcagno, P., Marozzi, V., Ussorio, D., Giusti, L., Malavolta, M., Di Emidio, G., Stratta, P., Collazzoni, P., De Bartolomeis, P., Gramaglia, C., Gili, S., Gattoni, E., Ferronato, L., Giannunzio, V., Tenconi, E., Tonna, M., Ossola, P., Camerlengo, E., Landi, P., Rutigliano, G., Buzzanca, A., Paolemili, M., Frascarelli, M., Comparelli, A., Corigliano, V., Brugnoli, R., Siracusano, A., Troisi, A., Di Lorenzo, G., Di Filippo, C., Longobardi, N., Castaldo, E., Fagiolini, A., Bolognesi, S., De Capua, A., and Italian Network for Research on, Psychoses

Subjects
Adult, Male, Context (language use), social cognition, Italian Network for Research on Psychoses, 03 medical and health sciences, 0302 clinical medicine, Cluster analysis, Social cognition, Emotion perception, medicine, schizophrenia, theory of mind, Cluster Analysis, Emotional Intelligence, Facial Recognition, Female, Humans, Middle Aged, Schizophrenia, Facial Expression, Social Perception, Wit and Humor as Topic, Applied Psychology, Psychiatry and Mental Health, Cluster analysis Italian Network for Research on Psychosesschizophrenia social cognition theory of mind, Cluster analysi, Italian Network for Research on Psychose, Settore MED/25 - Psichiatria, Facial expression, Social perception, Emotional intelligence, medicine.disease, cluster analysis, italian network for research on psychoses, adult, emotional intelligence, facial recognition, female, humans, male, middle aged, facial expression, social perception, wit and humor as topic, applied psychology, psychiatry and mental health, 030227 psychiatry, Psychology, Neurocognitive, 030217 neurology & neurosurgery, Clinical psychology
Abstract

none 28 no BACKGROUND: The study aimed to subtype patients with schizophrenia on the basis of social cognition (SC), and to identify cut-offs that best discriminate among subtypes in 809 out-patients recruited in the context of the Italian Network for Research on Psychoses. METHOD: A two-step cluster analysis of The Awareness of Social Inference Test (TASIT), the Facial Emotion Identification Test and Mayer-Salovey-Caruso Emotional Intelligence Test scores was performed. Classification and regression tree analysis was used to identify the cut-offs of variables that best discriminated among clusters. RESULTS: We identified three clusters, characterized by unimpaired (42%), impaired (50.4%) and very impaired (7.5%) SC. Three theory-of-mind domains were more important for the cluster definition as compared with emotion perception and emotional intelligence. Patients more able to understand simple sarcasm (⩾14 for TASIT-SS) were very likely to belong to the unimpaired SC cluster. Compared with patients in the impaired SC cluster, those in the very impaired SC cluster performed significantly worse in lie scenes (TASIT-LI

Published
2016

6. The influence of illness-related variables, personal resources and context-related factors on real-life functioning of people with schizophrenia

Author

Galderisi, S, Rossi, A, Rocca, P, Bertolino, A, Mucci, A, Bucci, P, Rucci, P, Gibertoni, D, Aguglia, E, Amore, M, Bellomo, A, Biondi, M, Brugnoli, R, Dell'Osso, L, De Ronchi, D, Di Emidio, G, Di Giannantonio, M, Fagiolini, A, Marchesi, C, Monteleone, P, Oldani, L, Pinna, G, S, Pinna, F, Roncone, R, Sacchetti, E, Santonastaso, P, Siracusano, A, Vita, A, Zeppegno, P, Maj, M, Chieffi, M, De Simone, S, De Riso, F, Giugliano, R, Piegari, G, Vignapiano, A, Caforio, G, Mancini, M, Colagiorgio, L, Porcelli, S, Salfi, R, Bianchini, O, Galluzzo, A, Barlati, S, Carpiniello, B, Fatteri, F, Di Santa Sofia, S, Cannavò, D, Minutolo, G, Signorelli, M, Martinotti, G, Di Iorio, G, Acciavatti, T, Pallanti, S, Faravelli, C, Altamura, M, Stella, E, Marasco, D, Calcagno, P, Respino, M, Marozzi, V, Riccardi, I, Collazzoni, A, Stratta, P, Giusti, L, Ussorio, D, Delauretis, I, Serati, M, Caldiroli, A, Palazzo, C, Iasevoli, Fz, Gramaglia, C, Gili, S, Gattoni, E, Tenconi, E, Giannunzio, V, Monaco, F, De Panfilis, C, Camerlengo, A, Ossola, P, Landi, P, Rutigliano, G, Pergentini, I, Mauri, M, Di Fabio, F, Torti, C, Buzzanca, A, Comparelli, A, De Carolis, A, Corigliano, V, DI LORENZO, G, Niolu, C, Troisi, A, Corrivetti, Aa, G, Pinto, Diasco, Aa, F, Goracci, A, Bolognesi, S, Borghini, E, Montemagni, C, Frieri, T, Birindelli, N, Galderisi, S., Rossi, A., Rocca, P., Bertolino, A., Mucci, A., Bucci, P., Rucci, P., Gibertoni, D., Aguglia, E., Amore, M., Bellomo, A., Biondi, M., Brugnoli, R., Dell'Osso, L., De Ronchi, D., Di Emidio, G., Di Giannantonio, M., Fagiolini, A., Marchesi, C., Monteleone, P., Oldani, L., Pinna, F., Roncone, R., Sacchetti, E., Santonastaso, P., Siracusano, A., Vita, A., Zeppegno, P., Maj, M., Chieffi, M., De Simone, S., De Riso, F., Giugliano, R., Piegari, G., Vignapiano, A., Caforio, G., Mancini, M., Colagiorgio, L., Porcelli, S., Salfi, R., Bianchini, O., Galluzzo, A., Barlati, S., Carpiniello, B., Fatteri, F., Di Santa Sofia, S. L., Cannavo, D., Minutolo, G., Signorelli, M., Martinotti, G., Di Iorio, G., Acciavatti, T., Pallanti, S., Faravelli, C., Altamura, M., Stella, E., Marasco, D., Calcagno, P., Respino, M., Marozzi, V., Riccardi, I., Collazzoni, A., Stratta, P., Giusti, L., Ussorio, D., Delauretis, I., Serati, M., Caldiroli, A., Palazzo, C., Iasevoli, F., Gramaglia, C., Gili, S., Gattoni, E., Tenconi, E., Giannunzio, V., Monaco, F., De Panfilis, C., Camerlengo, A., Ossola, P., Landi, P., Rutigliano, G., Pergentini, I., Mauri, M., Di Fabio, F., Torti, C., Buzzanca, A., Comparelli, A., De Carolis, A., Corigliano, V., Di Lorenzo, G., Niolu, C., Troisi, A., Corrivetti, G., Pinto, G., Diasco, F., Goracci, A., Bolognesi, S., Borghini, E., Montemagni, C., Frieri, T., Birindelli, N., Galderisi, Silvana, Rossi, Alessandro, Rocca, Paola, Bertolino, Alessandro, Mucci, Armida, Bucci, Paola, Rucci, Paola, Gibertoni, Dino, Aguglia, Eugenio, Amore, Mario, Bellomo, Antonello, Biondi, Massimo, Brugnoli, Roberto, Dell'Osso, Liliana, De Ronchi, Diana, Di Emidio, Gabriella, Di Giannantonio, Massimo, Fagiolini, Andrea, Marchesi, Carlo, Monteleone, Palmiero, Oldani, Lucio, Pinna, Federica, Roncone, Rita, Sacchetti, Emilio, Santonastaso, Paolo, Siracusano, Alberto, Vita, Antonio, Zeppegno, Patrizia, Maj, Mario, Chieffi, Marcello, De Simone, Stefania, De Riso, Francesco, Giugliano, Rosa, Piegari, Giuseppe, Vignapiano, Annarita, Caforio, Grazia, Mancini, Marina, Colagiorgio, Lucia, Porcelli, Stefano, Salfi, Raffaele, Bianchini, Oriana, Galluzzo, Alessandro, Barlati, Stefano, Carpiniello, Bernardo, Fatteri, Francesca, Di Santa Sofia, Silvia Lostia, Cannavò, Dario, Minutolo, Giuseppe, Signorelli, Maria, Martinotti, Giovanni, Di Iorio, Giuseppe, Acciavatti, Tiziano, Pallanti, Stefano, Faravelli, Carlo, Altamura, Mario, Stella, Eleonora, Marasco, Daniele, Calcagno, Pietro, Respino, Matteo, Marozzi, Valentina, Riccardi, Ilaria, Collazzoni, Alberto, Stratta, Paolo, Giusti, Laura, Ussorio, Donatella, Delauretis, Ida, Serati, Marta, Caldiroli, Alice, Palazzo, Carlotta, Iasevoli, Felice, Gramaglia, Carla, Gili, Sabrina, Gattoni, Eleonora, Tenconi, Elena, Giannunzio, Valeria, Monaco, Francesco, De Panfilis, Chiara, Camerlengo, Annalisa, Ossola, Paolo, Landi, Paola, Rutigliano, Grazia, Pergentini, Irene, Mauri, Mauro, Di Fabio, Fabio, Torti, Chiara, Buzzanca, Antonino, Comparelli, Anna, De Carolis, Antonella, Corigliano, Valentina, Di Lorenzo, Giorgio, Niolu, Cinzia, Troisi, Alfonso, Corrivetti, Giulio, Pinto, Gaetano, Diasco, Ferdinando, Goracci, Arianna, Bolognesi, Simone, Borghini, Elisa, Montemagni, Cristiana, Frieri, Tiziana, and Birindelli, Nadia

Subjects
medicine.medical_specialty, media_common.quotation_subject, neurocognition, positive symptoms, Context (language use), avolition, Personal resource, Social cognition, Avolition, Disorganization, Engagement with mental health services, Internalized stigma, Neurocognition, Personal resources, Positive symptoms, Real-life functioning, Resilience, Schizophrenia, Psychiatry and Mental Health, Psychiatric Mental Health, medicine, real-life functioning, personal resources, Psychiatry, resilience, Settore MED/25 - Psichiatria, media_common, business.industry, Schizophrenia, avolition, disorganization, engagement with mental health services, internalized stigma, neurocognition, personal resources, positive symptoms, real-life functioning, resilience, disorganization, internalized stigma, engagement with mental health services, Social environment, Research Reports, medicine.disease, Mental health, Psychiatry and Mental health, Psychological resilience, Pshychiatric Mental Health, medicine.symptom, business, Positive symptom, Independent living, Engagement with mental health service
Abstract

In people suffering from schizophrenia, major areas of everyday life are impaired, including independent living, productive activities and social relationships. Enhanced understanding of factors that hinder real-life functioning is vital for treatments to translate into more positive outcomes. The goal of the present study was to identify predictors of real-life functioning in people with schizophrenia, and to assess their relative contribution. Based on previous literature and clinical experience, several factors were selected and grouped into three categories: illness-related variables, personal resources and context-related factors. Some of these variables were never investigated before in relationship with real-life functioning. In 921 patients with schizophrenia living in the community, we found that variables relevant to the disease, personal resources and social context explain 53.8% of real-life functioning variance in a structural equation model. Neurocognition exhibited the strongest, though indirect, association with real-life functioning. Positive symptoms and disorganization, as well as avolition, proved to have significant direct and indirect effects, while depression had no significant association and poor emotional expression was only indirectly and weakly related to real-life functioning. Availability of a disability pension and access to social and family incentives also showed a significant direct association with functioning. Social cognition, functional capacity, resilience, internalized stigma and engagement with mental health services served as mediators. The observed complex associations among investigated predictors, mediators and real-life functioning strongly suggest that integrated and personalized programs should be provided as standard treatment to people with schizophrenia. In people suffering from schizophrenia, major areas of everyday life are impaired, including independent living, productive activities and social relationships. Enhanced understanding of factors that hinder real-life functioning is vital for treatments to translate into more positive outcomes. The goal of the present study was to identify predictors of real-life functioning in people with schizophrenia, and to assess their relative contribution. Based on previous literature and clinical experience, several factors were selected and grouped into three categories: illness-related variables, personal resources and context-related factors. Some of these variables were never investigated before in relationship with real-life functioning. In 921 patients with schizophrenia living in the community, we found that variables relevant to the disease, personal resources and social context explain 53.8% of real-life functioning variance in a structural equation model. Neurocognition exhibited the strongest, though indirect, association with real-life functioning. Positive symptoms and disorganization, as well as avolition, proved to have significant direct and indirect effects, while depression had no significant association and poor emotional expression was only indirectly and weakly related to real-life functioning. Availability of a disability pension and access to social and family incentives also showed a significant direct association with functioning. Social cognition, functional capacity, resilience, internalized stigma and engagement with mental health services served as mediators. The observed complex associations among investigated predictors, mediators and real-life functioning strongly suggest that integrated and personalized programs should be provided as standard treatment to people with schizophrenia.

Published
2014

7. Combinations of QTc-prolonging drugs: towards disentangling pharmacokinetic and pharmacodynamic effects in their potentially additive nature

Author

A. D. Meid, I. Bighelli, S. Mächler, G. Mikus, G. Carrà, M. Castellazzi, C. Lucii, G. Martinotti, M. Nosè, G. Ostuzzi, T. Acciavatti, A. Adamo, A. Aguglia, C. Albanese, S. Baccaglini, F. Bardicchia, R. Barone, Y. Barone, F. Bartoli, C. Bergamini, F. Bertolini, S. Bolognesi, A. Bordone, P. Bortolaso, M. Bugliani, C. Calandra, S. Calò, G. Cardamone, M. Caroleo, E. Carra, D. Carretta, L. Chiocchi, E. Cinosi, M. Clerici, M. Corbo, E. Corsi, R. Costanzo, G. Costoloni, F. D’Arienzo, S. Debolini, A. De Capua, W. A. Di Napoli, M. Dinelli, E. Facchi, F. Fargnoli, F. Fiori, A. Franchi, F. Gardellin, C. Gastaldon, E. Gazzoletti, L. Ghio, M. Giacomin, M. Gregis, N. Iovieno, D. Koukouna, A. Lax, C. Lintas, A. Luca, M. Luca, M. Lussetti, M. Madrucci, N. Magnani, L. Magni, E. Manca, C. Martorelli, R. Mattafirri, C. Paladini, D. Papola, M. Percudani, G. Perini, P. Petrosemolo, M. Pezzullo, S. Piantanida, F. Pinna, K. Prato, D. Prestia, D. Quattrone, C. Reggianini, F. Restaino, M. Ribolsi, G. Rinosi, C. Rizzo, R. Rizzo, M. Roggi, G. Rossi, S. Rossi, S. Ruberto, M. Santi, R. Santoro, G. Sepede, M. S. Signorelli, F. Soscia, P. Staffa, M. Stilo, S. Strizzolo, F. Suraniti, N. Tavian, L. Tortelli, F. Tosoni, M. Valdagno, V. Zanobini, C. Barbui, W. E. Haefeli, Meid, A, Bighelli, I, Mächler, S, Mikus, G, Carrà, G, Castellazzi, M, Lucii, C, Martinotti, G, Nosè, M, Ostuzzi, G, Acciavatti, T, Adamo, A, Aguglia, A, Albanese, C, Baccaglini, S, Bardicchia, F, Barone, R, Barone, Y, Bartoli, F, Bergamini, C, Bertolini, F, Bolognesi, S, Bordone, A, Bortolaso, P, Bugliani, M, Calandra, C, Calò, S, Cardamone, G, Caroleo, M, Carra, E, Carretta, D, Chiocchi, L, Cinosi, E, Clerici, M, Corbo, M, Corsi, E, Costanzo, R, Costoloni, G, D’Arienzo, F, Debolini, S, De Capua, A, Di Napoli, W, Dinelli, M, Facchi, E, Fargnoli, F, Fiori, F, Franchi, A, Gardellin, F, Gastaldon, C, Gazzoletti, E, Ghio, L, Giacomin, M, Gregis, M, Iovieno, N, Koukouna, D, Lax, A, Lintas, C, Luca, A, Luca, M, Lussetti, M, Madrucci, M, Magnani, N, Magni, L, Manca, E, Martorelli, C, Mattafirri, R, Paladini, C, Papola, D, Percudani, M, Perini, G, Petrosemolo, P, Pezzullo, M, Piantanida, S, Pinna, F, Prato, K, Prestia, D, Quattrone, D, Reggianini, C, Restaino, F, Ribolsi, M, Rinosi, G, Rizzo, C, Rizzo, R, Roggi, M, Rossi, G, Rossi, S, Ruberto, S, Santi, M, Santoro, R, Sepede, G, Signorelli, M, Soscia, F, Staffa, P, Stilo, M, Strizzolo, S, Suraniti, F, Tavian, N, Tortelli, L, Tosoni, F, Valdagno, M, Zanobini, V, Barbui, C, and Haefeli, W

Subjects
QT interval, medicine.medical_specialty, electrocardiography, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Pharmacokinetics, Internal medicine, medicine, cohort study, 030212 general & internal medicine, drug–drug interaction, Pharmacology, Toxicology and Pharmaceutics (miscellaneous), Original Research, drug–drug interactions, psychiatry, medicine.diagnostic_test, business.industry, Pharmacodynamics, Cardiology, Psychology (miscellaneous), business, Electrocardiography, cohort study, drug–drug interactions, electrocardiography, psychiatry, QT interval, Cohort study
Abstract

Background:Whether arrhythmia risks will increase if drugs with electrocardiographic (ECG) QT-prolonging properties are combined is generally supposed but not well studied. Based on available evidence, the Arizona Center for Education and Research on Therapeutics (AZCERT) classification defines the risk of QT prolongation for exposure to single drugs. We aimed to investigate how combining AZCERT drug categories impacts QT duration and how relative drug exposure affects the extent of pharmacodynamic drug–drug interactions.Methods:In a cohort of 2558 psychiatric inpatients and outpatients, we modeled whether AZCERT class and number of coprescribed QT-prolonging drugs correlates with observed rate-corrected QT duration (QTc) while also considering age, sex, inpatient status, and other QTc-prolonging risk factors. We concurrently considered administered drug doses and pharmacokinetic interactions modulating drug clearance to calculate individual weights of relative exposure with AZCERT drugs. Because QTc duration is concentration-dependent, we estimated individual drug exposure with these drugs and included this information as weights in weighted regression analyses.Results:Drugs attributing a ‘known’ risk for clinical consequences were associated with the largest QTc prolongations. However, the presence of at least two versus one QTc-prolonging drug yielded nonsignificant prolongations [exposure-weighted parameter estimates with 95% confidence intervals for ‘known’ risk drugs + 0.93 ms (–8.88;10.75)]. Estimates for the ‘conditional’ risk class increased upon refinement with relative drug exposure and co-administration of a ‘known’ risk drug as a further risk factor.Conclusions:These observations indicate that indiscriminate combinations of QTc-prolonging drugs do not necessarily result in additive QTc prolongation and suggest that QT prolongation caused by drug combinations strongly depends on the nature of the combination partners and individual drug exposure. Concurrently, it stresses the value of the AZCERT classification also for the risk prediction of combination therapies with QT-prolonging drugs.

Published
2017

8. Alcohol drinking patterns in young people: A survey-based study

Author

Maria Giulia Nanni, Fabiola Sarchione, Massimo Di Giannantonio, M. Lupi, Pierluigi Diotaiuti, Luigi Janiri, Irene Petruccelli, Rita Santacroce, Eduardo Cinosi, Lorenzo Leggio, Giovanni Martinotti, Federica Pinna, Valeria Verrastro, Umberto Volpe, Aristide Saggino, Leonardo Carlucci, T. Acciavatti, Silvia Ferrari, Martinotti, G, Lupi, M, Carlucci, L, Santacroce, R, Cinosi, E, Acciavatti, T, Sarchione, F, Verrastro, V, Diotaiuti, P, Petruccelli, I, Ferrari, S, Nanni, Mg, Pinna, F, Volpe, Umberto, Saggino, A, Janiri, L, Leggio, L, and Di Giannantonio, M.

Subjects
Adult, Male, medicine.medical_specialty, Adolescent, Alcohol Drinking, Sexual Behavior, Settore MED/25 - PSCHIATRIA, Population, Socio-culturale, Poison control, Binge drinking, Suicide prevention, Occupational safety and health, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Surveys and Questionnaires, alcohol, binge drinking, social drinking, Injury prevention, medicine, Prevalence, Humans, 030212 general & internal medicine, Young adult, education, Psychiatry, Applied Psychology, education.field_of_study, Ethanol, business.industry, Public health, Awareness, Healthy Volunteers, alcohol, binge drinking, social drinking, Aggression, Female, Amnesia, business, 030217 neurology & neurosurgery
Abstract

Binge drinking represents a major clinical and public health concern. Here, we investigated the prevalence of binge drinking and its related consequences, in a population of young adults. A questionnaire was administered to a sample of 4275 healthy subjects. In the overall sample, the percentage of binge drinkers was 67.6 per cent; among regular alcohol users, 79.5 per cent reported episodes of binge drinking. Among binge drinkers, several serious consequences were identified (staggering and stuttering, amnesia, loss of control, aggressiveness, sexual disinhibition). Raising awareness about the seriousness of binge drinking may help health care providers to identify cases early on and provide appropriate treatments.

Published
2016

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