The natural history of CDKL5 deficiency disorder into adulthood.

Knowledge of the natural history of deficiency disorder (CDD) is limited to the results of cross-sectional analysis of largely pediatric cohorts. Assessment of outcomes in adulthood is critical for clinical decision-making and future precision medicine approaches but is challenging because of the diagnostic gap and duration of follow-up that would be required for prospective studies. We aimed to delineate the natural history retrospectively from adulthood.

Amoebas: the omnipotent organism and silent assassin.

Amoebas are characterized by their unique ability to exist both as free-living organisms and, occasionally, as parasites within host tissues, earning them the designation 'amphizoic amoebae'. While amoebic infections are less prevalent, their health impact can be tremendous, leading to several diseases. In low-income countries, poor sanitation and socioeconomic conditions significantly increase the risk of amoebic infections, particularly E.

Evidence-Based Umbrella Review of Non-Invasive Neuromodulation in Chronic Neuropathic Pain.

Background And Objective: Non-invasive neuromodulation techniques (NIN), such as transcranial Direct Current Stimulation (tDCS) and repetitive Transcranial Magnetic Stimulation (rTMS), have been extensively researched for their potential to alleviate pain by reversing neuroplastic changes associated with neuropathic pain (NP), a prevalent and complex condition. However, treating NP remains challenging due to the numerous variables involved, such as different techniques, dosages and aetiologies. It is necessary to provide insights for clinicians and public healthcare managers to support clinical decision-making.

Psychological distress and the COVID-19 pandemic: the role of personality and coping strategies.

Personality traits and coping strategies significantly predict predisposition to psychopathology. This study aimed to examine the predictive role of coping strategies in psychological distress during the COVID-19 pandemic in a sample of Portuguese individuals, considering personality and sociodemographic variables. Data were collected using Google Forms from 2402 individuals (86.

Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.

Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.