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The prognosis of partial epilepsy in childhood (excluding cases of benign partial epilepsy) was studied; the average follow up period was 7.4 years. Improvement rate of seizure status was 82.3%. We studied favourable prognostic factors and found that those most often associated with seizure improvement were familial convulsions and idiopathic forms, no generalised seizures before partial onset, low frequency of seizures after 12 months of treatment, short duration of epilepsy, and no background activity abnormalities on electroencephalography. We also observed such factors as mental retardation, neurological abnormalities, and behaviour and cognitive disorders. Factors that determined the prognosis for social adjustment were similar to those for seizure improvement. We discuss the favourable prognosis of partial seizures in childhood and the predictive factors. [ABSTRACT FROM AUTHOR]

The introduction of triptans, in the early 1990s, has improved the therapy for acute migraine attack, offering a new quality of life for those patients who suffer from this disabling neurological disorder. Epidemiological data point out that about 10% of school-age children suffer from migraine, with a progressive increase in incidence and prevalence up to the threshold of adulthood. The increase in extent and prevalence of migraine from the years of growth stresses the importance of the application and adjustment of ad hoc therapeutic (either pharmacological or not) and diagnostic measures. Indeed, the peculiar neurobiological and psychological aspects which are typical of an 'evolving' organism preclude the use, by simple 'transposition' or 'proportion', of the knowledge acquired from adult-targeted studies. That requires the implementation of studies to analyze the specific responses of children and adolescents to the triptans. To date, the studies on such issues are absolutely insufficient to draw definitive conclusions and indications for the use of triptans for child and adolescent migraineurs. [ABSTRACT FROM AUTHOR]

To investigate factors influencing prognosis in medication-overuse headache (MOH), we conducted a 12-month follow-up of patients with probable MOH. We recruited 215 patients consecutively admitted to our headache centre for an inpatient detoxification treatment. We analysed likely predictor factors for headache resolution (sex, age, primary headache, psychiatric comorbidity, type and timing of overuse). Mann–Whitney U-test and chi-squared test were used. One year after withdrawal, we had complete data on 172 patients (80%): 38 of these patients (22%) had relapsed into overuse and 134 (78%) had not. The negative prognostic factors for relapse were: intake of more than 30 doses/month (P ¼ 0.004), smoking (P¼ 0.012), alcohol consumption (P ¼ 0.037), non-confirmation of MOH diagnosis 2 months after detoxification (P ¼ 0.000), and return to overused drug(s) (P ¼ 0.000). The 1-year relapse rate was 22%. The existence of sub-groups of MOH patients with such risk factors could influence treatment strategies. [ABSTRACT FROM PUBLISHER]

Presents several guidelines on the controlled trial of drugs used for treating migraines. Selection of patients; Role of health-related quality of life measures; Checklists for acute and prophylactic treatments.

Nosocomial infections and Antimicrobial Resistance (AMR) stand as formidable healthcare challenges on a global scale. To address these issues, various infection control protocols and personalized treatment strategies, guided by laboratory tests, aim to detect bloodstream infections (BSI) and assess the potential for AMR. In this study, we introduce a machine learning (ML) approach based on Multi-Objective Symbolic Regression (MOSR), an evolutionary approach to create ML models in the form of readable mathematical equations in a multi-objective way to overcome the limitation of standard single-objective approaches. This method leverages readily available clinical data collected upon admission to intensive care units, with the goal of predicting the presence of BSI and AMR. We further assess its performance by comparing it to established ML algorithms using both naturally imbalanced real-world data and data that has been balanced through oversampling techniques. Our findings reveal that traditional ML models exhibit subpar performance across all training scenarios. In contrast, MOSR, specifically configured to minimize false negatives by optimizing also for the F1-Score, outperforms other ML algorithms and consistently delivers reliable results, irrespective of the training set balance with F1-Score.22 and.28 higher than any other alternative. This research signifies a promising path forward in enhancing Antimicrobial Stewardship (AMS) strategies. Notably, the MOSR approach can be readily implemented on a large scale, offering a new ML tool to find solutions to these critical healthcare issues affected by limited data availability., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Ferrari et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The Japanese term Hikikomori is used to describe a clinical condition in which young people present a prolonged social withdrawal and isolation. Hikikomori syndrome represents an emergent worldwide phenomenon but is still poorly reported and often misdiagnosed. This study investigates and describes an Italian hikikomori adolescent group. Socio-demographic and psychopathological profiles and the relationship between hikikomori and psychopathological conditions were analyzed. No gender difference, a medium-high intellectual level, and no correlation with socioeconomic status were highlighted among the clinical group. The relationship between social withdrawal and social anxiety was significant while no correlation was found with depressive symptoms. The presence of Hikikomori syndrome was also significant in Italian adolescents, suggesting that hikikomori is not a culture-bound syndrome related to the Japanese cultural context, but rather a syndrome occurring in the upper-medium class., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Knowledge Graphs (KGs) have revolutionized knowledge representation, enabling a graph-structured framework where entities and their interrelations are systematically organized. Since their inception, KGs have significantly enhanced various knowledge-aware applications, including recommendation systems and question-answering systems. Sensigrafo, an enterprise KG developed by Expert.AI, exemplifies this advancement by focusing on Natural Language Understanding through a machine-oriented lexicon representation. Despite the progress, maintaining and enriching KGs remains a challenge, often requiring manual efforts. Recent developments in Large Language Models (LLMs) offer promising solutions for KG enrichment (KGE) by leveraging their ability to understand natural language. In this article, we discuss the state-of-the-art LLM-based techniques for KGE and show the challenges associated with automating and deploying these processes in an industrial setup. We then propose our perspective on overcoming problems associated with data quality and scarcity, economic viability, privacy issues, language evolution, and the need to automate the KGE process while maintaining high accuracy., Competing Interests: AB and PL were employed by Expert.ai. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Mariotti, Guidetti, Mandreoli, Belli and Lombardi.)

Psychological, social, and biological aspects contribute synergistically to the maintenance and chronicity of pain in primary headaches. An integrated intervention seems to be the most appropriate in the management of these conditions, taking advantage not only of pharmacological strategies, but also of different approaches according to the global assessment and patient necessities. In this perspective, non-pharmacological treatments are becoming increasingly used to overcome these issues also in paediatric migraine treatment. Particularly, nutraceuticals, non-invasive neuromodulation, and behavioural approaches are well tolerated and of potential interest. This paper aims to present the main approaches reported in the literature in the management of migraine in children and adolescents presenting an up-to-date review of the current literature. We therefore performed a narrative presentation for each of these three categories: nutraceuticals (riboflavin; magnesium; melatonin; vitamin D; coenzyme Q10; and polyunsaturated fatty acid); non-invasive neuromodulation (trigeminal nerve stimulator; non-invasive vagal nerve stimulation; transcranial magnetic stimulation; and remote electrical neuromodulation), and behavioural therapies (biofeedback; cognitive behavioural therapy; and mindfulness-based therapy). These approaches are increasingly seen as a valid treatment option in primary headache management also in paediatrics, avoiding medication overuse and drug treatment contraindications., Competing Interests: The authors declare no conflicts of interest.

Symbolic Regression (SR) is a data-driven methodology based on Genetic Programming, and it is widely used to produce arithmetic expressions for modelling learning tasks. Compared to other popular statistical techniques, SR outcomes are given by an arbitrary set of mathematical operations, representing arbitrarily complex linear and non-linear functions without a predefined fixed structure. Another advantage is that, unlike other machine learning algorithms, SR produces interpretable results. In this paper, we explore the qualities and limitations of this technique in a novel implementation as a binary classifier for in-hospital or short-term mortality prediction in patients with Covid-19. Our results highlight that SR provides a competitive alternative to popular statistical and machine learning methodologies to model relevant clinical phenomena thanks to good classification performance, stability in unbalanced dataset management, and intrinsic interpretability., (©2022 AMIA - All rights reserved.)

In pediatric neurology, tension-type headache (TTH) represents a very common type of primary headache during the pediatric age. Despite the high prevalence of TTH, this diagnosis is often underestimated in childhood, with relevant difficulties in the differential diagnosis of TTH from secondary and primary headache manifestations. Even among primary headaches, a clinical overlap is not so infrequent in children: migraine attacks could present tension headache-like features while tension-type headaches may display migraine-like symptoms as well. Several variables play a role in the complex trajectory of headache evolution, such as hormonal changes during adolescence, triggers and genetic and epigenetic factors. The trajectories and outcomes of juvenile migraine and TTH, as well as the transition of one form to the other, have been investigated in several long-term prospective studies. Thus, the aim of this paper is to review the current literature on the differential diagnosis workout of TTH in pediatrics, the possible outcomes during the developmental age and the appropriate therapeutic strategies. Indeed, TTH represents a challenging diagnostic entity in pediatrics, both from a clinical and a therapeutic point of view, in which early diagnosis and appropriate treatment are recommended.

As Big Data Analysis meets healthcare applications, domain-specific challenges and opportunities materialize in all aspects of data science. Advanced statistical methods and Artificial Intelligence (AI) on Electronic Health Records (EHRs) are used both for knowledge discovery purposes and clinical decision support. Such techniques enable the emerging Predictive, Preventative, Personalized, and Participatory Medicine (P4M) paradigm. Working with the Infectious Disease Clinic of the University Hospital of Modena, Italy, we have developed a range of Data-Driven (DD) approaches to solve critical clinical applications using statistics, Machine Learning (ML) and Big Data Analytics on real-world EHR. Here, we describe our perspective on the challenges we encountered. Some are connected to medical data and their sparse, scarce, and unbalanced nature. Others are bound to the application environment, as medical AI tools can affect people's health and life. For each of these problems, we report some available techniques to tackle them, present examples drawn from our experience, and propose which approaches, in our opinion, could lead to successful real-world, end-to-end implementations., Desy Report Number: DESY-22-153., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Mandreoli, Ferrari, Guidetti, Motta and Missier.)

Background: Connections between epidemiological findings and children's and adolescents' mental health policies have not been properly made in Brazil, and such nationwide studies are scarce. This epidemiological study (1) estimated the prevalence and predictors of parent-reported attention-deficit/hyperactivity disorder (ADHD) (ADHD-report), (2) estimated the probable diagnosis and risk of ADHD based on Diagnostic and Statistical Manual of Mental Disorders, 5th edition, criteria (ADHD-probable), and (3) estimated current psychostimulant use (ADHD-pst) in a representative nationwide sample of Brazilian school-aged children and adolescents., Methods: Data were obtained from 7114 school-aged children (49.9% boys) from 87 cities in 18 Brazilian states. Parents and teachers were interviewed using psychometrically sound questionnaires. Data and codes are available., Results: The prevalence of ADHD-report, ADHD-probable, and ADHD-pst were 7.1%, 3.9%, and 1.9%, respectively. The agreement was low between ADHD-probable and ADHD-report (22.6%) and between ADHD-report and ADHD-pst (15.6%). Logistic regression revealed that predictors of all three categories were male gender (odds ratio [OR] = 1.71, 2.32, and 1.96, respectively), divorced parents (OR = 1.47, 1.65, and 1.68, respectively), and below-expectation school performance (OR = 3.1, 13.74, and 3.95, respectively). Socioeconomic status was a significant predictor of ADHD-report, and participants from lower classes were less frequently diagnosed with ADHD than their peers from upper classes (OR = 0.57, 95% confidence interval = 0.37-0.88, P = 0.012)., Conclusions: The present findings provide an accurate description of ADHD in Brazil. We suggest disparities in agreement between report, risk, and psychostimulant use among children and adolescents and discrepancies between socioeconomic classes concerning the prevalence of an ADHD diagnosis., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: Topographic memory is the ability to reach various places by recognizing spatial layouts and getting oriented in familiar environments. It involves several different cognitive abilities, in particular executive functions (EF), such as attention, working memory, and planning. Children with attention deficit hyperactivity disorder (ADHD) show impairments in inhibitory control, regulation of attention, planning, and working memory. Aim: The aim of this study was to evaluate the topographic memory in children with ADHD-combined subtype (ADHD-C). Method: Fifteen children (8-10 years) with a diagnosis of ADHD-C (DSM-5) (ADHD-C group) were compared to 15 children with typical development (TD group) of the same age. All children performed Raven's colored progressive matrices (CPM) test to obtain a measure related with cognitive functioning. The walking Corsi test (WalCT), a large-scale version of the Corsi block-tapping test, was used to assess topographic memory in experimental environment. Results: A higher impairment was observed in ADHD-C than TD with significant differences in the WalCT, in particular on the topographic short-term memory (TSTM) task, on the topographic learning (TL) task, and on the repetition number (RN) task during the TL task. Perseverative errors were reported in performing the square-sequence in the WalCT. Zero-order correlations showed a positive correlation between TSTM and auditory attention, and memory of design of NEPSY-II and digit span of WISC-IV. No statistically significant differences were found between the ADHD-C group and TD group in the TL task in the WalCT condition. Conclusion: In ADHD-C, initial topographic learning was compromised whereas the long-term retention of learned topographical material seemed to not be impaired. In particular, these impairments seem to be linked with difficulties in sustained attention, in spatial memory for novel visual materials, in a poor working memory, and in perseverative behaviors., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Faedda, Guariglia, Piccardi, Natalucci, Rossetti, Baglioni, Alunni Fegatelli, Romani, Vigliante and Guidetti.)

Objective: The present Italian multicenter study aimed at investigating whether the course of primary headache disorders in children and adolescents was changed during the lockdown necessary to contain the COVID-19 emergency in Italy., Methods: During the lockdown, we submitted an online questionnaire to patients already diagnosed with primary headache disorders. Questions explored the course of headache, daily habits, psychological factors related to COVID-19, general mood and school stress. Answers were transformed into data for statistical analysis. Through a bivariate analysis, the main variables affecting the subjective trend of headache, and intensity and frequency of the attacks were selected. The significant variables were then used for the multivariate analysis., Results: We collected the answers of 707 patients. In the multivariate analysis, we found that reduction of school effort and anxiety was the main factor explaining the improvement in the subjective trend of headache and the intensity and frequency of the attacks ( p  < 0.001). The greater the severity of headache, the larger was the clinical improvement ( p  < 0.001). Disease duration was negatively associated with the improvement ( p  < 0.001). It is noteworthy that clinical improvement was independent of prophylaxis ( p  > 0.05), presence of chronic headache disorders ( p  > 0.05) and geographical area ( p  > 0.05)., Conclusions: Our study showed that lifestyle modification represents the main factor impacting the course of primary headache disorders in children and adolescents. In particular, reduction in school-related stress during the lockdown was the main factor explaining the general headache improvement in our population.

Purpose: In migraine or primary headache in children, parents play a fundamental role in pain management. For this narrative review, PubMed, Google Scholar, and Psych Info were searched using the terms "parent headache", "mother/father headache", "parental impact headache", "alexithymia parents headache", "catastrophizing parent headache", "family headache", "children parent headache", and "quality of life family headache". Articles were chosen for inclusion based on their relevance in to the topic., Overview: Several parental and psychological characteristics can influence in children and adolescent headache, such as parental attitudes as oppressive or overprotective; punitive parenting styles; familial psychological symptoms, especially anxiety and depression; catastrophizing about their child's pain or excessive worry about their child's headache; inability to express emotions; and feelings that may lead to somatization problems., Discussion: Parents' attitudes and behaviors toward their child's headache have a strong relation with the severity of headache attacks. Mothers seem to have more influence than fathers on children's pain and emotional regulation. We suggest that the presence of caregiver-child transmission of maladaptive coping strategies, arising from difficulties expressing emotion, may lead to incorrect management of headache pain, further facilitating headache chronification., (© 2020 American Headache Society.)

+ me is an experimental interactive soft toy, looking like a panda, developed for young children. When touched on the paws or head (inputs), the toy can emit attractive responses such as colored lights and amusing sounds (outputs). + me is wirelessly connected to a control tablet through which an adult caregiver can modify its input-output contingencies so as to produce different, rewarding response patterns using the same device. Given these features, we propose + me as a potential novel tool to support the therapy of Autism Spectrum Disorder (ASD). The allure of the device could be exploited to capture the attention and encourage the social interaction of toddlers during play activities with therapists. In this pilot study, + me was tested on two small groups of children aged 30-48 months, one group diagnosed with ASD and the second with Communication Disorder, a condition that often presents-especially at an early age-overlapping symptoms with ASD. The proposed play activities aimed to foster simple imitative behaviors and stimulate the engagement of the children. The results were compared with those of a previous test run on Typically Developed children. Preliminary observations, based on the analysis of video recordings, suggest that, on average, + me is able to encourage a positive engagement and that different groups tend to manifest some different behaviors., (Copyright © 2020 Sperati, Özcan, Romano, Moretta, Scaffaro, Faedda, Turturo, Fioriello, Pelosi, Giovannone, Sogos, Guidetti and Baldassarre.)

Objective: Recurrent headaches and ADHD are prevalent in the pediatric population. Herein, we assess if ADHD is comorbid to headaches overall, to headache subtypes (e.g., migraine), and to headache frequency. Method: Informed consent and analyzable data were obtained for 5,671 children aged 5 to 12 years (65.9% of the target sample). Parents and teachers were interviewed using validated questionnaires based on the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) . Relative risks were modeled using univariate and multivariate analyses. Results: As contrasted to nonheadache controls, the prevalence of ADHD was significantly higher in children with migraine ( p < .001) but not in those with tension-type headaches. In children with migraine, risk of ADHD increased as a function of headache frequency ( p < .05). Conclusion: Migraine and frequent migraine are comorbid to ADHD. Future studies should focus on the impact of the association on the burden to the children and their families.

Background: The questionnaires completed by the parents give a first general information on the behavioral problems of the child-adolescent, as a useful orientation to the clinical evaluation. The Child and Adolescent Behavior Inventory (CABI) is a 75-item parent questionnaire, which explores a large number of problem areas. The study of its predictive validity for the clinical diagnosis, in comparison with the Diagnostic and Statistical Manual of Mental Disorders ( DSM )-oriented scales of the Child Behavior Checklist (CBCL), can assess whether its use may be advantageous., Material and Methods: Parents/caregivers of 462 children and adolescents responded to both CABI and CBCL as a preliminary routine investigation. The results were compared with those of diagnoses obtained after the completion of the usual clinical procedure., Results: Accuracy values (probability of correct classification) resulted high for both instruments and significantly better for CABI anxiety and attention-deficit hyperactivity disorder (ADHD) scales, and for CBCL oppositional defiant disorder (ODD) and conduct disorder (CD) scales; no significant difference was found for depression scales. All the areas under the curve (AUC) of the receiver operating characteristic analysis reached excellent values, suggesting a very good predictive ability of the five scales of the two instruments. The comparison of AUC showed the CABI's anxiety and ADHD scales to give significantly higher values than those of CBCL, indicating that these two scales have a better predictive ability., Conclusion: The study indicates a very good comparative (vs CBCL) and predictive validity of the CABI, suggesting an advantage in the use of this shorter questionnaire, available for free use both for clinical practice and supposedly for screening and epidemiological evaluations.

Introduction : A wide proportion of children and adolescents with headache tends not to respond to various pharmacological treatments in use. The failure to respond to symptomatic treatment and prophylaxis is often due to the presence of a comorbid psychopathology undiagnosed or not properly treated. For these reasons and for the negative impact of headache on the quality of life of the patients and on the costs for the public health system, the adoption of an integrated multi-disciplinary perspective in the diagnosis and treatment of headache is needed. Areas covered : Several researchers have shown that behavioral treatment is effective as pharmacological treatment, not only for headache management but also to maintain a lifetime response to the headache treatment. In particular, Cognitive Behavioral Therapy (CBT) and Mindfulness have proven to be very resolutive both in the management of pain and in the management of stressful situations that can trigger the headache in children and adolescents with headache. Expert opinion : Although studies on behavioral treatments on children and adolescents with primary headaches are still few but a combined approach seems to be very useful in improving the quality of life of these subjects, especially in those who have internalizing disorders in comorbidities.

Several studies have shown neuropsychological deficits across multiple domains in attention deficit hyperactivity disorder (ADHD) and specific learning disorder (SLD), but differences and similarities between these disorders have been little considered. We were interested in analyzing the intellectual and executive profiles in a sample of children and adolescents, divided according to the diagnosis into the ADHD group and the SLD group, and in identifying the differences and similarities between these disorders. The sample included two clinical groups: the first included 36 children and adolescents with a diagnosis of ADHD (5-15 years; mean = 9.42; SD = 2.22) while the second included 36 children and adolescents with a diagnosis of SLD (7-15 years; mean = 9.43; SD = 2.25). The WISC-IV was used to measure intellectual ability and the NEPSY-II was employed to measure executive functions. The results showed that the SLD group had significantly higher scores than the ADHD group on the NEPSY-II in the inhibition, cognitive flexibility, short-term verbal memory and verbal working memory domains. The ANCOVA showed differences regarding the FSIQ of WISC-IV, in that the SLD group obtaining higher scores than ADHD group. Findings showed that ADHD children are more impaired than SLD children, in particular in cognitive inhibition, cognitive flexibility, verbal memory, working memory and intellectual functioning. The recognition of the strengths and weaknesses of children and adolescents with ADHD and SLD allows to outline an educational and clinical intervention focused on their specific executive and intellectual functioning., (© 2019 Scandinavian Psychological Associations and John Wiley & Sons Ltd.)