After coming out of the state debt crisis, Greece is facing yet another crisis – that of the COVID-19 pandemic. The key challenges facing the organizational structure and function of the Greek public health system in order to meet the populations’ health needs are discussed. Social distancing, through imposed national lockdown very early in the pandemic, has been a key emergency public health measure that has saved lives. However, the system needs to enhance its capacity, through strengthening primary health and social support care, to be able to meet existing unmet health needs, the impact of the pandemic on mental health, as well as to tackle future new waves of outbreak. The related changes in health service provisions in response to the COVID-19 pandemic call for developing new models and novel approaches for delivering effective mental health services.

The relationship between trauma and psychosis is complex and multifaceted, with evidence suggesting that trauma can be both a risk factor for the development of psychosis and a consequence of psychotic experiences. The present review aimed to provide an overview of the current state of knowledge on the relationship between trauma and psychosis, including historical and conceptual considerations, as well as epidemiological evidence. The potential explanation of the link between trauma and psychosis is provided through available models and similarities in their neurobiological associations. Overall, the research confirms the relationship between trauma and psychosis, and suggests that individuals with a co‑occurring history of trauma and psychosis may have increased symptom severity and worse functional outcomes compared with individuals with psychosis alone. Future research should focus on elucidating the underlying causal pathways between trauma exposure and psychosis in order to inform effective treatment approaches aiming to prevent the intensification of psychotic symptoms and processes.

The global spread of COVID-19 led the World Health Organization to declare a pandemic on 11 March 2020. To decelerate this spread, countries have taken strict measures that have affected the lifestyles and economies. Various studies have focused on the identification of COVID-19’s impact on the mental health of children and adolescents via traditional statistical approaches. However, a machine learning methodology must be developed to explain the main factors that contribute to the changes in the mood state of children and adolescents during the first lockdown. Therefore, in this study an explainable machine learning pipeline is presented focusing on children and adolescents in Greece, where a strict lockdown was imposed. The target group consists of children and adolescents, recruited from children and adolescent mental health services, who present mental health problems diagnosed before the pandemic. The proposed methodology imposes: (i) data collection via questionnaires; (ii) a clustering process to identify the groups of subjects with amelioration, deterioration and stability to their mood state; (iii) a feature selection process to identify the most informative features that contribute to mood state prediction; (iv) a decision-making process based on an experimental evaluation among classifiers; (v) calibration of the best-performing model; and (vi) a post hoc interpretation of the features’ impact on the best-performing model. The results showed that a blend of heterogeneous features from almost all feature categories is necessary to increase our understanding regarding the effect of the COVID-19 pandemic on the mood state of children and adolescents.

We report a 66-year-old woman with a mixed corticomedullary tumor of the left adrenal gland. The patient was found to harbor an adrenal incidentaloma while investigated for a spigelian hernia. Due to the atypical radiological features and the relatively large size of the adrenal lesion she underwent a left adrenalectomy following endocrine testing to exclude a functional lesion. Subclinical Cushing’s syndrome was suggested by the failure to obtain adequate cortisol suppression (less than 1.8 μg/dL) following dexamethasone administration pre-operatively; cortisol suppression was restored postoperatively following the excision of the tumor. Histology was consistent with a corticomedullary mixed adenoma, a lesion for which, there is paucity of published data regarding its natural history and long term outcome. The finding of this case highlights the importance of this extremely rare entity which should be included in the long list of causes of adrenal incidentaloma since cases with intra-operative complications have been described. The previously reported reappearance of this tumor in the contralateral adrenal gland emphasizes the need for prolonged follow-up.

Dysfunctional breathing (DB) describes a respiratory condition that is mainly characterized by abnormal breathing patterns, affecting both children and adults, often leading to intermittent or chronic complaints and influencing physiological, psychological, and social aspects. Some symptoms include breathlessness; dizziness; palpitations; and anxiety, while its classification lies in breathing pattern disorders and upper airway involvement. Its prevalence among the pediatric population varies with a female overrepresentation, while the existence of comorbidities in DB, such as asthma, gastro-esophageal reflux, nasal diseases, and anxiety/depression, frequently leads to misdiagnosis or underdiagnosis and complicates therapeutic approaches. The basic diagnostic tools involve a detailed history, physical examination, and procedures such as structured light plethysmography, cardiopulmonary exercise testing, and laryngoscopy when a laryngeal obstruction is present. The management of DB presumes a multidimensional approach encompassing breathing retraining, disease-specific advice through speech and language therapy in the presence of laryngeal obstruction, psychotherapy for fostering self-efficacy, and surgical therapy in a structural abnormality. The current review was developed to provide a summary of classifications of DB and epidemiological data concerning the pediatric population, comorbidities, diagnostic tools, and therapeutic approaches to enhance the comprehension and management of DB in children.