Long-term Behavioral Consequences of the COVID-19 Pandemic for Autistic Individuals and Their Mothers.

Long-term effects of the COVID-19 pandemic on autistic individuals and their families are recently emerging. This study investigated these effects in 40 mother-child dyads by measuring the behavioral problems of autistic individuals (via Aberrant Behavior Checklist) and their mothers' anxiety levels (via Beck Anxiety Inventory) during the pre-pandemic period, one month after, and one year after its onset. One year into the pandemic, aberrant behaviors of autistic individuals worsened only for those whose mothers had high anxiety levels. The continued negative impact of the COVID-19 pandemic on the behavior of autistic individuals is related to their mother's anxiety level, highlighting the need to support maternal mental health in families with individuals with autism.

Telemedicine in monitoring pediatric LT patients before and during COVID-19 pandemic.

BACKGROUND: The delivery of healthcare services by telemedicine decreases costs of traveling for patients, is less time-consuming, and most importantly permits the connection between highly skilled specialists and patients. However, whether the use of telemedicine (text messaging) for LT patients was affected by the COVID-19 pandemic is unknown. METHODS: We collected data (following consent from patients and parents) from 57 patients (33 male/24 female) with a median age of 47 (IQR: 9-91) months, whom we followed up with text messaging between September 2019 and September 2020, spanning the 6 months prior to COVID-19 and during this period. RESULTS: In total, 723 text message mediated consultations occurred during this period, henceforth simply referred to as "messages." Three hundred and twenty-eight (45%) messages occurred during the 6 months up to the start of the pandemic. Following the COVID-19 outbreak, the number of messages increased to 395 (55%). The three most common reasons of messaging were post-liver-LT follow-up messages (n = 215/723, 29.7%), consultations for drug use (n = 157/723, 21.7%), and medication prescriptions (n = 113/723, 15.6%). Protocol biopsy discussions (n = 33/723, 4.6%) and fever (n = 27/723, 3.7%) were among others (vaccination, rash, diarrhea, cough, fatigue, acne). During the COVID-19 outbreak, only post-LT follow-up messages increased significantly to 132/395 (33%) from 83/328 (25%) (p-value: .02). CONCLUSIONS: We found that the pandemic resulted in an increase in the total number of text message mediated consultations and specifically for the use of post-LT follow-up. Messaging was effective for post-LT follow-ups and all patients were at least satisfied.

3D printed personalized magnetic micromachines from patient blood-derived biomaterials.

While recent wireless micromachines have shown increasing potential for medical use, their potential safety risks concerning biocompatibility need to be mitigated. They are typically constructed from materials that are not intrinsically compatible with physiological environments. Here, we propose a personalized approach by using patient blood­derivable biomaterials as the main construction fabric of wireless medical micromachines to alleviate safety risks from biocompatibility. We demonstrate 3D printed multiresponsive microswimmers and microrollers made from magnetic nanocomposites of blood plasma, serum albumin protein, and platelet lysate. These micromachines respond to time-variant magnetic fields for torque-driven steerable motion and exhibit multiple cycles of pH-responsive two-way shape memory behavior for controlled cargo delivery and release applications. Their proteinaceous fabrics enable enzymatic degradability with proteinases, thereby lowering risks of long-term toxicity. The personalized micromachine fabrication strategy we conceptualize here can affect various future medical robots and devices made of autologous biomaterials to improve biocompatibility and smart functionality.