Antonino Messina

Federica Barbagallo, Maria Rita Assenza, Antonino Messina. Clin Psychopharmacol Neurosci 2025;23:15-31. https://doi.org/10.9758/cpn.24.1229

Background: Schizophrenia treatment with antipsychotics often results in side effects that impact adherence and quality of life. Managing these effects remains challenging, as it requires balancing efficacy and tolerability. The Schizophrenia Technological Evaluation of Patient Side Effects (STEP‐SE) app aims to aid side effects monitoring and management through shared decision‐making (SDM).Aim: This study aimed to evaluate the usability of the STEP‐SE app for patients and clinicians in managing antipsychotic side effects.Methods: Sixteen stable outpatients and 14 psychiatrists participated in semi‐structured interviews after using the STEP‐SE app. Questions explored ease of use, information clarity, user needs fulfilment, patient–clinician collaboration, treatment adherence improvement, patient empowerment and clinical utility. Data were analysed thematically.Results: Overall satisfaction with STEP‐SE was high. Both groups found that the tool improved patient involvement, provided reliable information to enhance therapeutic alliance, posed low risks of misunderstanding and had an intuitive interface. Patients felt more motivated and empowered. Clinicians appreciated guideline consistency. Preferences differed regarding data visualization formats.Discussion: STEP‐SE shows potential for aiding SDM on antipsychotic side effects. Patients gained motivation, and clinicians felt reassured. Refinements around mobile access, graphics and features could augment utility. Generalizability is limited given the stable patient sample.Conclusion: Preliminary findings suggest that STEP‐SE effectively engages patients, empowers them and supports clinicians in collaborative side effect management. Further testing with diverse user groups is warranted.Patient or Public Contribution: The current study was designed to gather patient and public feedback for the development of our decision aid tool, STEP‐SE. Participants interacted with the tool's prototype in interactive sessions, providing insights and identifying technical issues. Their feedback was crucial for enhancing the tool, with each suggestion and bug report carefully considered for future iterations. The participants’ contributions were key in optimizing STEP‐SE's features and ensuring its relevance and reliability. We thank all who shared their time and perspectives, significantly shaping the tool's user‐centred design.

Background: Schizophrenia is a mental disorder affecting approximately 0.32% of the global population, according to the World Health Organization. Antipsychotic medications are used to treat this condition by inhibiting D2 dopamine and 5HT2 serotonin receptors. The selection of the appropriate mode of delivery for these drugs is based on factors such as patient adherence, clinical presentation, and patient preferences. However, additional drivers of treatment selection are required in clinical practice. Mounting evidence suggests that neuroinflammation plays a crucial role in the pathogenesis of schizophrenia. NLR, a cost-effective biomarker of inflammation, has increased in several psychiatric conditions and may represent a valid method for studying the inflammatory stage in schizophrenia, relapse, and the first episode of psychosis. The aim of this study is to evaluate whether there are any variations in NLR values between patients given oral antipsychotics and those given long-acting antipsychotics. Methods: The study included 50 individuals with schizophrenia, either acute or in the follow-up phase. NLR was obtained by calculating the ratio of absolute neutrophil count (cells/μL) and absolute lymphocyte count (cells/μL). Results: Patients on long-acting antipsychotics exhibited significantly lower mean NLR scores (1.5 ± 0.7) compared to those on oral antipsychotics (2.2 ± 1.3) (p < 0.05). Conclusions: NLR appears promising as a neuroinflammatory biomarker. This study reveals significantly lower NLR values in patients on long-acting antipsychotics, which may signify reduced systemic inflammation and improved adherence.

The causes of schizophrenia remain obscure and complex to identify. Alterations in dopaminergic and serotonergic neurotransmission are, to date, the primary pharmacological targets in treatment. Underlying abnormalities in neural networks have been identified as cell adhesion molecules (CAMs) involved in synaptic remodeling and interplay between neurons-neurons and neurons-glial cells. Among the CAMs, several families have been identified, such as integrins, selectins, cadherins, immunoglobulins, nectins, and the neuroligin-neurexin complex. In this paper, cell adhesion molecules involved in the pathogenesis of schizophrenia will be described.

Background: In Kalhbaum's first characterization of catatonia, the emotional symptoms, such as decreased or restricted expression of feelings and emotions, which is described as blunted affect, are related to the motor symptoms. In later years, the affective domain was excluded from the concept of catatonia and was not included among the diagnostic criteria in the various Diagnostic Statistical Manual (DSM) versions. In recent times, some authors have proposed the proposition of reevaluating the notion of catatonia through the reintroduction of the affective domain. The objective of this study was to examine the correlation between catatonic-like behavior (CLB), such as emotional withdrawal, blunted affect, and psychomotor slowing, and inflammatory markers, namely the neutrophil/lymphocytes ratio (NLR) and lymphocytes/monocytes ratio (LMR), in individuals diagnosed with schizophrenia. Method: A sample of 25 patients with schizophrenia (10 females, 15 males) was recruited, and the Brief Psychiatric Rating Scale (BPRS) was used to assess the severity of emotional withdrawal, blunted affect, and psychomotor slowing. Findings: The correlation analysis (Spearman ρ) revealed a robust direct association between blunted affect and psychomotor slowing (ρ = 0.79, P = 0.001), and a significant direct correlation between CLB (emotional withdrawal, ρ = 0.51, P = 0.05; blunted affect ρ = 0.58, P = 0.05; motor retardation, ρ = 0.56, P = 0.05) and LMR (ρ = 0.53, P = 0.05). In addition, patients with a duration of illness (DOI) older than five years had a higher presence of CLB and a higher LMR than patients with a more recent diagnosis of the disease. Likely, patients with positive symptoms and in the prodromal and active stages of the disease have a different immune profile than patients in the residual stage and with a predominance of negative symptoms. Conclusions: Psychomotor slowing and blunted affect are two significantly related features, representing the two-faced Janus of immobility. Furthermore, aggregating them in CLB is more predominant the longer the duration of schizophrenia and is associated with different a specific pattern of immune activation.

Background: in Kalhbaum's first description of catatonia, symptoms of the affective domain, such as blunted affect, were included in addition to motor symptoms. Recently some authors proposed to revisit the concept of catatonia by including symptoms such as blunted affect and psychomotor slowing. This study aimed to investigate the association between catatonic-like behavior (CLB) (emotional withdrawal, blunted affect, and psychomotor slowing) and inflammatory markers, such as neutrophil/lymphocytes ratio (NLR) and lymphocytes/monocytes ratio (LMR) in patients diagnosed with schizophrenia. Method: a sample of 25 patients with schizophrenia (10 females, 15 males) was recruited, and the Brief Psychiatric Rating Scale (BPRS) was used to assess the severity of emotional withdrawal, blunted affect, and psychomotor slowing. Findings: the correlation analysis (Spearman r) revealed a robust direct association between blunted affect and psychomotor slowing (r=0.79, P=0.00), and a significant direct correlation between CLB (emotional withdrawal, r=0.51, P=0.05; blunted affect r=0.58, P=0.05; motor retardation, r=0.56, P=0.05) and LMR (r=0.53, P=0.05). In addition, patients with a duration of illness (DOI) older than five years had a higher presence of CLB and a higher LMR than patients with a more recent diagnosis of the disease. Likely, patients with positive symptoms and in the prodromal and active stages of the disease have a different immune profile than patients in the residual stage and with a predominance of negative symptoms. Conclusions: psychomotor slowing and blunted affect are two significantly related features, representing the two-faced Janus of immobility. Furthermore, aggregating them in CLB is more predominant the longer the duration of schizophrenia and is associated with different a specific pattern of immune activation.

Since the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic was declared, cases of psychosis, delusions, hallucinations, and disorganized behavior have been reported worldwide, both during the acute phase of COVID-19 and after recovery. Given the recent emergence of COVID-19, data are still accumulating, and it is premature to correlate COVID-19 with psychotic disorders causally. However, SARS-CoV-2 has been shown to have the ability to cross the blood-brain barrier and penetrate neurons. This finding and the amount of published work on COVID-19 and psychotic disorders compel special attention to elucidate the link between SARS-CoV-2 and the occurrence of psychotic symptoms. In this article, several reviews and case reports that have analyzed the link between COVID-19 and psychotic disorders are reviewed. In light of the data that have emerged at the present time, study criteria were proposed to identify COVID-19-related psychosis.