With the recent advancements in the field of wearable technologies, the opportunity to monitor stress continuously using different physiological variables has gained significant interest. The early detection of stress can help improve healthcare and minimizes the negative impact of long-term stress. This paper reports outcomes of a pilot study and associated stress-monitoring dataset, named the “Stress-Predict Dataset”, created by collecting physiological signals from healthy subjects using wrist-worn watches with a photoplethysmogram (PPG) sensor. While wearing these watches, 35 healthy volunteers underwent a series of tasks (i.e., Stroop color test, Trier Social Stress Test and Hyperventilation Provocation Test), along with a rest period in-between each task. They also answered questionnaires designed to induce stress levels compatible with daily life. The changes in the blood volume pulse (BVP) and heart rate were recorded by the watch and were labelled as occurring during stress-inducing tasks or a rest period (no stress). Additionally, respiratory rate was estimated using the BVP signal. Statistical models and personalised adaptive reference ranges were used to determine the utility of the proposed stressors and the extracted variables (heart rate and respiratory rate). The analysis showed that the interview session was the most significant stress stimulus, causing a significant variation in heart rate of 27 (77%) participants and respiratory rate of 28 (80%) participants out of 35. The outcomes of this study contribute to the understanding the role of stressors and their association with physiological response and provide a dataset to help develop new wearable solutions for more reliable, valid, and sensitive physio-logical stress monitoring.

Background: Ischaemic heart disease is one of the major drivers of cardiovascular death in Europe. Since the first percutaneous coronary intervention (PCI) in 1977, developments and innovations in cardiology have made PCI the treatment of choice for stenotic coronary artery disease. To address the occupational hazards related to chronic exposure to radiation and wear and tear from heavy lead-based radioprotective aprons, the concept of robotically assisted PCI (R-PCI) was introduced in 2005. Aim: To explore the features and limitations of R-PCI, we first discuss the concept and evolution of R-PCI platforms and then systematically review the available clinical data. Methods: A systematic review has been performed across the Pubmed, Embase and Cochrane databases in order to assess the efficacy and safety of R-PCI. Secondary endpoints, such as operator and patient exposure to radiation, contrast volume used and procedural time, were assessed when available. Results: In selected patients, R-PCI provides high technical and clinical success rates, ranging from 81 to 98.8% and from 93.3 to 100%, respectively. In-hospital and 1-year MACE rates ranged from 0 to 10.4% and 4.8 to 10.5%, respectively. R-PCI is able to significantly reduce the operator’s exposure to radiation. Further research analysing the patient’s and cath lab staff’s exposure to radiation is needed. Therapy escalation with R-PCI seems to be limited to complex lesions. R-PCI procedures add approximately 10 min to the procedural time. Conclusions: The efficacy and safety of R-PCI have been proven, and R-PCI is able to significantly reduce occupational hazards for the first operator. The lack of adoption in the community of interventional cardiologists may be explained by the fact that current generations of R-PCI platforms are limited by their incompatibility with advanced interventional devices and techniques needed for escalation in complex interventions.

Background: Hospitalisation for acute decompensated heart failure (HF) portends a poor prognosis. Fluid retention manifesting in dyspnoea and oedema are important clinical features of decompensated heart failure and drive hospital admissions. Intracardiac and pulmonary artery pressure (PAP) monitoring can help predict heart failure decompensation, as changes in these haemodynamics occur before clinical congestion manifests. Methods: A retrospective single centre analysis of patients who underwent insertion of the Cordella™ PA Sensor System (Endotronix, Inc., Chicago, IL, USA) in University Hospital Galway, Ireland, as part of three separate clinical trials—SIRONA 1, SIRONA 2, PROACTIVE HF, was performed. The primary clinical outcome assessed was the difference between HF hospitalisation pre- and post-sensor implantation. Results: In total, there were 33 patients with symptomatic HF who underwent device insertion between 2018 and 2023. All patients had NYHA class 3 heart failure, and 48.5% (n = 16) of patients had HF with reduced ejection fraction. Only one device-related complication was noted, and no pressure sensor failures occurred. In total, there were 26 admissions for HF decompensation 1-year pre-device insertion and only three admissions post-insertion. The difference in the mean number of HF hospitalisations per patient pre- and post-device insertion was 0.70 (p < 0.0001). The difference in mean NYHA class score pre- and post-insertion was 1.0 (p < 0.001). Conclusions: Data from this single-centre cohort study have shown that the insertion of the Cordella™ PA Sensor System in symptomatic HF patients was safe and resulted in statistically significant improvements in HF hospitalisations and NYHA class.