Clinical and psychological factors associated with resilience in patients with schizophrenia: data from the Italian network for research on psychoses using machine learning

• DOI: 10.1017/s003329172200294x
• Publication Date: 2022-10-11T08:27:00Z
• Authors: Linda A. Antonucci; Giulio Pergola; Antonio Rampino; Paola Rocca; Alessandro Rossi; Mario Amore; Eugenio Aguglia; Antonello Bellomo; Valeria Bianchini; Claudio Brasso; Paola Bucci; Bernardo Carpiniello; Liliana Dell'Osso; Fabio di Fabio; Massimo di Gianna...; Andrea Fagiolini; Giulia Maria Gior...; Matteo Marcatilli; Carlo Marchesi; Paolo Meneguzzo; Palmiero Monteleone; Maurizio Pompili; Rodolfo Rossi; Alberto Siracusano; Antonio Vita; Patrizia Zeppegno; Silvana Galderisi; Alessandro Bertolino; Mario Maj
• Keywords: Sample (material); Resilience

Abstract Background Resilience is defined as the ability to modify thoughts cope with stressful events. Patients schizophrenia (SCZ) having higher resilience (HR) levels show less severe symptoms and better real-life functioning. However, clinical factors contributing determine in patients remain unclear. Thus, based on psychological, historical, environmental variables, we built a supervised machine learning algorithm classify HR or lower (LR). Methods SCZ from Italian Network for Research Psychoses ( N = 598 Discovery sample, 298 Validation sample) underwent clinical, assessments. A Support Vector Machine (based 85 variables extracted above-mentioned assessments) was replicated between LR patients, within nested, Leave-Site-Out Cross-Validation framework. We then investigated whether decision scores were associated cognitive characteristics of patients. Results The classified Balanced Accuracy 74.5% p < 0.0001) 80.2% sample. Higher self-esteem, larger social network use adaptive coping strategies most frequently chosen by generate decisions. Correlations scores, socio-cognitive abilities, symptom severity significant FDR 0.05). Conclusions identified an accurate, meaningful generalizable clinical-psychological signature SCZ. This study delivers relevant information regarding psychological that non-pharmacological interventions could target schizophrenia.