Microscopic Kidney Disease in Tuberous Sclerosis Complex and Treatment With mTOR Inhibition.

Declining kidney function in tuberous sclerosis complex (TSC) is often attributed to large lesions, including angiomyolipomas (AMLs) and cysts, that encroach on the normal parenchyma or that require intervention and loss of parenchyma from surgical debulking or embolization. Consequently, research on inhibitors of the mammalian target of rapamycin (mTOR), a protein complex implicated in TSC pathophysiology for its role in promoting cell growth and proliferation, has largely focused on their ability to reduce AML size. Clinical guidelines distilled from this research limit mTOR inhibition as a first-line treatment to patients with large AMLs. However, chronic kidney disease (CKD) occurs in patients without large AMLs or a history of renal intervention. Alternate mechanisms postulated for CKD in TSC may suggest a role for mTOR inhibition in this population. In this report, we present 2 cases of a microscopic variant of TSC kidney disease causing declining kidney function, as well as anecdotal evidence for the use of mTOR inhibition to improve kidney function in the absence of large AMLs. We highlight the importance of annual kidney function assessment in patients with TSC and suggest a low threshold for kidney biopsy in patients with declining glomerular filtration rate without a clear etiology clinically or radiographically.

Applying the lessons of design thinking: a unique programme of care for acutely unwell, community-dwelling COVID-19 patients.

BACKGROUND: The COVID-19 pandemic limited access to primary care and in-person assessments requiring healthcare providers to re-envision care delivery for acutely unwell outpatients. Design thinking methodology has the potential to support the robust evolution of a new clinical model. AIM: To demonstrate how design thinking methodology can rapidly and rigorously create and evolve a safe, timely, equitable and patient-centred programme of care, and to share valuable lessons for effective implementation of design thinking solutions to address complex problems. METHOD: We describe how design thinking methodology was employed to create a new clinical model of care. Using the example of a novel telemedicine programme to support acutely unwell, community-dwelling COVID-19-positive patients called the London Urgent COVID-19 Care Clinic (LUC3), we show how continuous quality outcomes (safety, timeliness, equity and patient-centredness), as well as patient experience survey responses, can drive iterative changes in programme delivery. RESULTS: The inspiration phase identified four key needs for this patient population: monitoring COVID-19 signs and symptoms; self-managing COVID-19 symptoms; managing other comorbidities in the setting of COVID-19; and escalating care as needed. Guided by these needs, a cross-disciplinary stakeholder group was engaged in the ideation and implementation phases to create a unique and comprehensive telemedicine programme (LUC3). During the implementation phase, LUC3 assessed 2202 community-based patients diagnosed with acute COVID-19; the collected quality outcomes and end-user feedback led to evolution of programme delivery. CONCLUSION: Design thinking methodology provided an essential framework and valuable lessons for the development of a safe, equitable, timely and patient-centred telemedicine care programme. The lessons learnt here-the importance of inclusive collaboration, using empathy to guide equity-focused interventions, leveraging continuous metrics to drive iteration and aiming for good-if-not-perfect plans-can serve as a road map for using design thinking for targeted healthcare problems.

Assessment of treatment resistance criteria in non-invasive brain stimulation studies of schizophrenia.

Novel treatment modalities, such as non-invasive brain stimulation (NIBS), typically focus on patient groups that have failed multiple treatment interventions. Despite its promise, the clinical translation of NIBS in schizophrenia has been limited. One important obstacle to implementation is the inconsistent reporting of treatment resistance in the clinical trial literature contributing to heterogeneity in reported effects. In response, we develop a numerical approach to synthesize quality of assessment of Treatment-Resistant Schizophrenia (TRS) and apply this to studies investigating therapeutic response to NIBS in patients with schizophrenia. Literature search conducted through PubMed database identified 119 studies investigating Transcranial Magnetic Stimulation and Transcranial Electrical Stimulation in treating resistant schizophrenia symptoms. A quality score out of 11 was assigned to each study based on adherence to the international consensus guidelines for TRS developed by the Treatment Response and Resistance in Psychosis (TRRIP) group. Results revealed an overall paucity of studies with thorough assessment and/or reporting of TRS phenomenon, as evidenced by a mean quality score of 3.38/11 (SD: 1.01) for trials and 5.16/11 (SD: 1.57) for case reports, though this improved minimally since the publication of consensus criteria. Most studies considered treatment-resistance as a single dimensional construct by reporting resistance of a single symptom, and failed to establish treatment adherence, resistance time course and functional impairment. We conclude that the current NIBS literature in schizophrenia do not reflect its true effects on treatment-resistance. There is an urgent need to improve assessment and reporting standards of clinical trials that target TRS.