Adjustment experiences of adolescents living with well-controlled type 1 diabetes using closed-loop technology.

Aim: This study aimed to obtain an in-depth understanding of the experiences of adolescents with well-controlled type 1 diabetes who were adjusting to closed-loop technology. Method: Interpretative Phenomenological Analysis (IPA) was conducted. Five participants (aged 15-18) were recruited from the Centre for Diabetes and Endocrinology in Parktown, South Africa, to participate in semi-structured interviews about their experiences of adjusting to closed-loop technology. Results: Five superordinate themes emerged (1): learning to trust the technology (2), making diabetes visible (3), building a relationship with diabetes (4), empowering support networks, and (5) transformative positive outcomes. The findings demonstrate that closed-loop technology positively impacts the adjustment to living with type 1 diabetes. However, as highlighted by all participants, the individual's engagement and management are crucial. Based on the adolescents' experiences, interventions should focus on psychological factors.

Identification of psychological constructs for a positive psychology intervention to assist with the adjustment to closed loop technology among adolescents living with type 1 diabetes.

Aim: Adolescents have been identified as the group who struggle most with successful adjustment to closed loop technology. This study aims to identify the psychological constructs that should form part of a positive psychology intervention to assist with the adjustment to closed loop technology among adolescents living with type 1 diabetes. Method: Qualitative document analysis was employed to integrate findings from two documents: a published ongoing intervention study and a recent phenomenological study by the authors. Reflexive thematic analysis was used to identify themes from the documents. Findings: The following themes were identified as important psychological constructs that aid adjustment: the importance of knowledge and education; the process of positive adjustment to closed loop technology; a positive outlook; and building a relationship with diabetes. Conclusion: Interventions are needed to assist adolescents in their adjustment to closed loop technology. The psychological constructs identified served as a starting point in designing an effective, evidence-based intervention grounded in data and theory. Knowledge and education, responsibility, identity, positive affect, gratitude, support, and trust are psychological constructs that need to be included in an intervention program.

The Utility of Responsive Neurostimulation for the Treatment of Pediatric Drug-Resistant Epilepsy.

Drug-resistant epilepsy (DRE) has a strongly negative impact on quality of life, as well as the development of pediatric patients. Surgical treatments have evolved over time, including more invasive craniotomies for resection or disconnection. More recently, neuromodulation techniques have been employed as a less invasive option for patients. Responsive neurostimulation (RNS) is the first closed-loop technology that allows for both treatment and device data collection, which allows for an internal assessment of the efficacy of treatment. This novel technology has been approved in adults and has been used off label in pediatrics. This review seeks to describe this technology, its history, and future directions.

Leveraging technology for the treatment of type 1 diabetes in pregnancy: A review of past, current, and future therapeutic tools.

The significant risks associated with pregnancies complicated by type 1 diabetes (T1D) were first recognized in the medical literature in the mid-twentieth century. Stringent glycemic control with hemoglobin A1c (HbA1c) values ideally less than 6% has been shown to improve maternal and fetal outcomes. The management options for pregnant women with T1D in the modern era include a variety of technologies to support self-care. Although self-monitoring of blood glucose (SMBG) and multiple daily injections (MDI) are often the recommended management options during pregnancy, many people with T1D utilize a variety of different technologies, including continuous glucose monitoring (CGM), continuous subcutaneous insulin infusion (CSII), and CSII including automated delivery or suspension algorithms. These systems have yielded invaluable diagnostic and therapeutic capabilities and have the potential to benefit this understudied higher-risk group. A recent prospective, multicenter study evaluating pregnant patients with T1D revealed that CGM significantly improves maternal glycemic parameters, is associated with fewer adverse neonatal outcomes, and minimizes burden. Outcome data for CSII, which is approved for use in pregnancy and has been utilized for several decades, remain mixed. Current evidence, although limited, for commercially available and emerging technologies for the management of T1D in pregnancy holds promise for improving patient and fetal outcomes.

Brain State-dependent Gain Modulation of Corticospinal Output in the Active Motor System.

The communication through coherence hypothesis suggests that only coherently oscillating neuronal groups can interact effectively and predicts an intrinsic response modulation along the oscillatory rhythm. For the motor cortex (MC) at rest, the oscillatory cycle has been shown to determine the brain's responsiveness to external stimuli. For the active MC, however, the demonstration of such a phase-specific modulation of corticospinal excitability (CSE) along the rhythm cycle is still missing. Motor evoked potentials in response to transcranial magnetic stimulation (TMS) over the MC were used to probe the effect of cortical oscillations on CSE during several motor conditions. A brain-machine interface (BMI) with a robotic hand orthosis allowed investigating effects of cortical activity on CSE without the confounding effects of voluntary muscle activation. Only this BMI approach (and not active or passive hand opening alone) revealed a frequency- and phase-specific cortical modulation of CSE by sensorimotor beta-band activity that peaked once per oscillatory cycle and was independent of muscle activity. The active MC follows an intrinsic response modulation in accordance with the communication through coherence hypothesis. Furthermore, the BMI approach may facilitate and strengthen effective corticospinal communication in a therapeutic context, for example, when voluntary hand opening is no longer possible after stroke.

Influences on Technology Use and Efficacy in Type 1 Diabetes.

The majority of people with type 1 diabetes have suboptimal glycemic control, increasing their complication risk. Technology to support diabetes self-care has advanced significantly and includes self-monitoring of blood glucose (SMBG), insulin pump therapy (IPT), continuous glucose monitoring (CGM), and sensor-augmented pump therapy (SAPT), which are stepping stones toward the "artificial pancreas" using closed-loop technology. Use of these technologies improves clinical outcomes for patients with the appropriate skills and motivation. This review addresses the psychosocial factors that influence both technology provision and clinical outcome and also how technology impacts on psychological outcomes. Optimal use of the various diabetes self-management technologies is influenced by previous self-care behaviors, demographic and psychological factors. Provision of IPT is also influenced by the same factors. Despite technology increasing the complexity of treatment, the lack of evidence for adverse psychological outcomes is reassuring. Treatment satisfaction is high, and discontinuation rates are low. However, technology will widen the health inequality gap if its use is limited to motivated patients who demonstrate good self-care behaviors. Pivotal to the success of the various technologies is provision of appropriate education at initiation of the technology, regular ongoing contact for treatment adjustments and trouble-shooting device issues plus access to psychological support when required. Additional support strategies may be required to help patients struggling with their diabetes to benefit from the available technology, recognizing that they may have most to gain.