Minimally important change on the Columbia Impairment Scale and Strengths and Difficulties Questionnaire in youths seeking mental healthcare.

Background: Evidence-based mental health requires patient-relevant outcome data, but many indicators lack clinical meaning and fail to consider youth perceptions. The minimally important change (MIC) indicator designates change as meaningful to patients, yet is rarely reported in youth mental health trials.

Objective: This study aimed to establish MIC thresholds for two patient-reported outcome measures (PROMs), the Columbia Impairment Scale (CIS) and the Strengths and Difficulties Questionnaire (SDQ), using different estimation methods.

Safety profiles of fondaparinux in pregnant women: a systematic review and meta-analysis.

Background: The prevalence of conditions necessitating anticoagulation therapy among pregnant women has been steadily increasing. Although low-molecular-weight heparin (LMWH) is commonly used, several studies have investigated the use of fondaparinux in pregnant women. However, the safety profile of fondaparinux in this population remains to be fully elucidated.

Combining quantified EEG with clinical measures to better predict outcomes of acute disorders of consciousness.

Objective: To explore the application of the neuronal recovery model (i.e., the ABCD model derived from EEG power spectral analysis) in forecasting outcomes for patients with acute disorders of consciousness (DOC).

Embracing Nature's Wisdom: Liposome-Mediated Amplification of Electrochemiluminescence for the Sensitive and Selective Immunoassay of Serum Amyloid A.

Serum amyloid A (SAA) is a key biomarker for diagnosing inflammatory responses in diseases like influenza and COVID-19. An electrochemiluminescence (ECL) biosensor has been constructed for signal enhancement in SAA detection by encapsulating 4,4',4″,4‴-(1,3,6,8-pyrenetetrayl) tetrakis-benzoic acid (TBAPy) into liposomes. Such biomimetic encapsulation shields the biologically important membrane to avoid aggregation of TBAPy and prevents quenching.

Flexible Electronic Patch Utilizing Gelatin Film for Heart and Brain Signal Detection.

Flexible electronic patches have been widely studied in various fields. However, they still face serious challenges in cardio-brain signaling monitoring to achieve accurate adhesion and detection with compatibility in mildly humid environments. To tackle these challenges, we engineered a gelatin hydrogel film cross-linked with a biocompatible matrix factor and combined it with a blend of liquid metal and PVP to create the flexible electronic patch.