42 research outputs found
Successful percutaneous transgluteal embolization of a complex arteriovenous malformation feeding a hypogastric artery aneurysm
Pelvic arteriovenous malformation (AVM) is a rare condition mostly requiring a complex therapeutic strategy. The surgical approach is challenging and burdened by relatively high mortality and morbidity rates. No guidelines are available for the endovascular treatment of AVM because the literature is limited to small case series and case reports. We present a complex case of a pelvic AVM associated with an internal iliac artery aneurysm in a patient previously treated with a common to external prosthetic substitution for aneurysm and proximal ligation of internal iliac artery
Total Endovascular Management of a Symptomatic Post-dissection Thoracoabdominal Aneurysm with the New Physician Modified Fenestrated Thoracic Endograft
Echocardiographically defined haemodynamic categorization predicts prognosis in ambulatory heart failure patients treated with sacubitril/valsartan
Aim: Echo-derived haemodynamic classification, based on forward-flow and left ventricular (LV) filling pressure (LVFP) correlates, has been proposed to phenotype patients with heart failure and reduced ejection fraction (HFrEF). To assess the prognostic relevance of baseline echocardiographically defined haemodynamic profile in ambulatory HFrEF patients before starting sacubitril/valsartan. Methods and results: In our multicentre, open-label study, HFrEF outpatients were classified into 4 groups according to the combination of forward flow (cardiac index; CI:< or â„2.0 L/min/m2 ) and early transmitral Doppler velocity/early diastolic annular velocity ratio (E/e': â„ or <15): Profile-A: normal-flow, normal-pressure; Profile-B: low-flow, normal-pressure; Profile-C: normal-flow, high-pressure; Profile-D: low-flow, high-pressure. Patients were started on sacubitril/valsartan and followed-up for 12.3 months (median). Rates of the composite of death/HF-hospitalization were assessed by multivariable Cox proportional-hazards models. Twelve sites enrolled 727 patients (64 ± 12 year old; LVEF: 29.8 ± 6.2%). Profile-D had more comorbidities and worse renal and LV function. Target dose of sacubitril/valsartan (97/103 mg BID) was more likely reached in Profile-A (34%) than other profiles (B: 32%, C: 24%, D: 28%, P < 0.001). Event-rate (per 100 patients per year) progressively increased from Profile-A to Profile-D (12.0%, 16.4%, 22.9%, and 35.2%, respectively, P < 0.0001). By covariate-adjusted Cox model, profiles with low forward-flow (B and D) remained associated with poor outcome (P < 0.01). Adding this categorization to MAGGIC-score and natriuretic peptides, provided significant continuous net reclassification improvement (0.329; P < 0.001). Intermediate and high-dose sacubitril/valsartan reduced the event's risk independently of haemodynamic profile. Conclusions: Echocardiographically-derived haemodynamic classification identifies ambulatory HFrEF patients with different risk profiles. In real-world HFrEF outpatients, sacubitril/valsartan is effective in improving outcome across different haemodynamic profiles
Understanding Factors Associated With Psychomotor Subtypes of Delirium in Older Inpatients With Dementia
Comparison of aortoiliac repair with iliac branch endoprosthesis versus hypogastric occlusion in aortoiliac aneurysms
Usefulness of MALDI-TOF mass spectrometry in epidemiological control of etiologic agents of infection
Introduction: The use of the MALDI-TOF mass spectrometry in the routine of microbiological diagnostics has revolutionized procedures and response times of bacteriology.The use of this technique aims to epidemiological investigations in a hospital environment and represents a further significant opportunity, quickly feasible and extremely economical. Methods: By means of the MALDI-TOF-MS Vitek2 (MS Vitek2) mass spectrometer, accompanied by the AgnosTec-SARAMIS (bioMeÌrieux, France) software, were analyzed the spectra of 149 bacterial isolates (139 Staphylococcus aureus and 10 Staphylococcus epidermidis) obtained from cultures of 148 patients (141 inpatients and 7 outpatients). Clinical isolates were stored at a temperature of -20°C.The isolates were then thawed and immediately cultured on agar blood medium. The colonies were subjected to analysis by MS Vitek on the day after sowing. The spectra obtained were analyzed and compared using the software AgnosTec-SARAMIS, which allowed the construction of a dendrogram. Results and conclusions: The evaluation of the data collected suggests that mass spectrometry could be an useful tool in epidemiological surveys. Speed of analysis and low costs make the MS Vitek2 an usable tool by many microbiology laboratories
Long Term Outcomes of Endovascular Aortic Repair in Patients With Abdominal Aortic Aneurysm and Ectatic Common Iliac Arteries
Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects
Smart wearable devices enable personalized at-home healthcare by unobtrusively collecting patient health data and facilitating the development of intelligent platforms to support patient care and management. The accurate analysis of data obtained from wearable devices is crucial for interpreting and contextualizing health data and facilitating the reliable diagnosis and management of critical and chronic diseases. The combination of edge computing and artificial intelligence has provided real-time, time-critical, and privacy-preserving data analysis solutions. However, based on the envisioned service, evaluating the additive value of edge intelligence to the overall architecture is essential before implementation. This article aims to comprehensively analyze the current state of the art on smart health infrastructures implementing wearable and AI technologies at the far edge to support patients with chronic heart failure (CHF). In particular, we highlight the contribution of edge intelligence in supporting the integration of wearable devices into IoT-aware technology infrastructures that provide services for patient diagnosis and management. We also offer an in-depth analysis of open challenges and provide potential solutions to facilitate the integration of wearable devices with edge AI solutions to provide innovative technological infrastructures and interactive services for patients and doctors