Current pharmacological treatment options for painful diabetic neuropathy (PDN) often fail to provide adequate pain relief. However, in the recent SENZA-PDN study, high-frequency 10 kHz spinal cord stimulation (SCS) demonstrated significant long-term improvements in lower limb pain and health-related quality of life (HRQoL) in a PDN population. Furthermore, more than half of 10 kHz SCS recipients showed improved sensory function based on non-blinded clinical assessments in post hoc analysis. We report the design of the PDN-Sensory study, which aims to evaluate changes in pain and neurological function with 10 kHz SCS in the treatment of PDN. The study will include objective measures of neurological function, including the modified Toronto Clinical Neuropathy Score (mTCNS) and intraepidermal nerve fibre density (IENFD).

This multicentre, prospective, randomised controlled trial will compare conventional medical management (CMM) with 10 kHz SCS+CMM in individuals with diabetes and chronic, intractable lower limb pain due to PDN. Participants will be randomised 1:1 to CMM alone or 10 kHz SCS+CMM, with optional crossover at 6 months. The primary outcome is the proportion of participants at 6 months achieving ≥50% pain relief from baseline. The key secondary endpoint is the proportion of participants at 6 months with a reduction in mTCNS of ≥3 points from baseline (excluding changes in foot pain). Additional endpoints at 6 and 12 months include changes from baseline in mTCNS, IENFD, 7-day averaged pain score, pain-related interference, HRQoL, sleep, psychological outcomes, functional status and metabolic parameters.

The study protocol received central approval from the Western Institutional Review Board (IRB #20230954). Local IRB approval will be required before initiation of the study at each participating clinical site. The study complies with Good Clinical Practice guidelines (ISO 14155), the Declaration of Helsinki, and all applicable national, federal and local regulatory requirements. Dissemination plans include presentations at national and international conferences and publication in a peer-reviewed journal with open access.

NCT05777317.

Stroke volume is a major determinant of tissue perfusion and, therefore, a key parameter to monitor in patients with haemodynamic instability and hypoperfusion. Left ventricular outflow tract (LVOT) velocity-time integral (VTI) measurement using pulsed-wave Doppler is widely used as an estimation of stroke volume and should be a competence required for every intensive care unit (ICU) physician. Artificial intelligence (AI) applied to ultrasound facilitates the acquisition of adequate images. The aim of the present study is to evaluate the interchangeability of LVOT VTI measurements obtained by minimally trained operators and expert physicians, both guided by AI.

This is a prospective multicentre randomised controlled trial. ICU patients in whom fluid administration is considered necessary will be included. A minimally trained operator and an expert will independently measure LVOT VTI, guided by the UltraSight AI software to obtain the best five-chamber view, before and after a 250 mL fluid challenge. The order of acquisition between each operator will be randomised. 100 patients will be included.

The primary endpoint is the relative difference in LVOT VTI between operators. Secondary outcomes include the concordance of the therapeutic decision made by the blinded physician in charge of the patient based on the measures obtained by each operator, and the agreement between absolute values of LVOT VTI obtained by minimally trained and expert operators.

The study has been reviewed and approved by a regional ethics committee (Comité de Protection des Personnes—Ile de France II—n°24.00671.000291). An information note will be given to the participant before he or she participates in the study. The present study will be disseminated through peer-reviewed publications and academic and medical conferences.

NCT06486467.

Non-communicable diseases (NCDs), such as diabetes, cardiovascular diseases and cancer, are major global public health concerns. Diet quality—particularly the consumption of ultra-processed foods—has been associated with increased risk of NCDs. Traditional cohort studies are often expensive and logistically complex. The NutriNet-Brasil cohort leverages a web-based approach, offering a cost-effective and practical solution for comprehensive data collection and long-term follow-up.

Recruitments began in January 2020 through mass media, social media campaigns and collaborations with health organisations. Eligible participants are adults (aged ≥18 years) living in Brazil with internet access. Participants complete self-administered online questionnaires covering dietary intake, health status and other health determinants. Dietary assessment is based on the Nova classification system, which categorises foods by their level of processing.

Over 88 000 participants have completed the initial questionnaire. The cohort is predominantly women (79.9%) and highly educated (67.9% had completed higher education). The web-based design enabled the development and application of innovative dietary assessment tools, including the Nova24h and the Nova24hScreener, specifically designed to evaluate food processing levels. These tools have shown good performance in capturing dietary patterns and are central to the cohort’s aim. The online platform facilitates efficient recruitment, data collection and participant retention.

NutriNet-Brasil is pioneering the development of web-based cohort methodologies and instruments tailored to food processing research. Future work includes leveraging collaborations with national and international research centres to conduct multidisciplinary analyses and inform public health policies.