Protesi di ultima generazione con procedura mini-invasiva
Risultati per: La POCUS e le patologie dei tessuti molli: la lesione di Morel Lavallee
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Diagnosi e terapia patologie pancreatiche, congresso ad Ancona
Diagnosi e terapia patologie pancreatiche, congresso ad Ancona
Da banca cornee di Lucca distribuiti 1.443 tessuti in 11 mesi
Istituita nel 1999 struttura ha permesso migliaia di trapianti
Da banca cornee di Lucca distribuiti 1.443 tessuti in 11 mesi
Istituita nel 1999 struttura ha permesso migliaia di trapianti
La POCUS e le patologie dei tessuti molli: la lesione di Morel Lavallee
Carcinoma ovarico e POCUS. Un caso clinico
L’intelligenza artificiale supera gli esseri umani nella diagnosi delle patologie tissutali
Abstract 4143488: POCUS Guided Diuresis in Acute Decompensated Heart Failure – Quality Improvement in the Cardiac Care Unit
Circulation, Volume 150, Issue Suppl_1, Page A4143488-A4143488, November 12, 2024. Background:Patients with acute decompensated heart failure (ADHF) often require admission to the Cardiac Care Unit (CCU). Clinical examination alone may be inadequate for management, leading to suboptimal diuretic regimens and prolonged hospital stays. The use of Point-of-care ultrasound (POCUS) to evaluate the lungs for pulmonary edema and inferior vena cava (IVC) for size and collapsibility can enhance volume status evaluation.Aim:Reduce the average duration of IV diuresis by 20% among patients admitted to the CCU for ADHF in 1 yearMethods:An algorithm for POCUS guided diuretic regimen escalation was implemented across three Plan-Do-Study-Act (PDSA) cycles. Patients who were intubated, on dialysis, or with isolated RV failure were excluded. PDSA-1 introduced the algorithm and provided training to a team of 5 residents. PDSA-2 included weekly reminders and recruitment of 14 residents to increase buy-in. PDSA-3 focused on incorporating POCUS assessments into nighttime care to facilitate early morning decision-making.Results:Process Measure: Quarterly compliance rates using the number of POCUS orders that were completed- Baseline (0%, n=23), PDSA-1 (0%, n=35), PDSA-2 (19%, n=15), PDSA-3 (31%, n=46).Outcome Measure: The average duration of IV diuresis progressively decreased through the year: Baseline (5 days), PDSA-1 (5.3 days), PDSA-2 (4.4 days), PDSA-3 (3.5 days). There was an increase of 6% in PDSA-1 compared to baseline, but PDSA-2 and 3 showed a progressive reduction of 12% and 30% respectively.Balancing Measure: The mean potassium supplementation showed variation throughout the year: Baseline (63.3 mg), PDSA-1 (141 mg), PDSA-2 (151.7 mg), PDSA-3 (75.7 mg), reflecting no significant negative impact from the intervention.Equity Lens: The duration of IV diuresis, which at baseline ranged from 3 to 8 days across different races, standardized to approximately 5 days for all races by PDSA-3.Conclusion:We progressively reduced the duration of IV diuresis using POCUS-guided lung and IVC assessments with a structured diuretic regimen. This demonstrated improved patient care from early decongestion and symptomatic relief. Additionally, we demonstrate that POCUS plays a crucial role in promoting health equity by providing an objective assessment of volume status across diverse racial groups. This integration promises optimized heart failure management and potential cost reductions from reduced length of stay, highlighting the value of POCUS in clinical practice.
Geni sintetici imitano il modo in cui le cellule costruiscono tessuti e strutture
La ricerca degli atenei Tor Vergata e Ucla apre la strada ad ampie applicazioni in medicina e biotecnologia
Experiences and perceptions of critical care nurses on the use of point-of-care ultrasound (POCUS) to establish peripheral venous access in patients with difficult intravenous access: a qualitative study
Objectives
This study aims to explore and describe critical care nurses’ (CCNs’) experiences and perceptions of using point-of-care ultrasound (POCUS) to establish peripheral intravenous access in patients with difficult intravenous access (DIVA).
Design
A qualitative design with a hermeneutic approach was chosen for this study. From May to August 2022, data were collected using individual, face-to-face, and digital semistructured interviews and analysed using Braun and Clarke’s reflexive thematic analysis.
Setting
The study were conducted in six intensive care units in both Norway and Sweden.
Participants
Nine CCNs experienced in using point-of-care ultrasound (POCUS) to establish peripheral intravenous access in patients with DIVA were recruited.
Results
Data analysis led to the construction of the overarching theme: ‘POCUS simplifies a complicated procedure’ based on the following five subthemes: ‘Sharing the experience’, ‘Seeing inside the body’, ‘Independent in establishing difficult intravenous access’, ‘Using POCUS to increase action readiness’, and ‘Appreciating an expanded role as critical care nurses’.
Conclusion
Ultrasound-guided peripheral intravenous access can become a valuable skill for CCN’s caring for patients with DIVA in the intensive care unit. This practice can potentially reduce patient suffering, improve patient outcomes, enable the CCN to provide high-quality care, improve action readiness, time management and job satisfaction for the nurses.
Oltre 10.000 bimbi e ragazzi con patologie gravi o croniche
Campagna Sostieni la sua felicità Dynamo per terapia ricreativa
Abstract 16836: A View-Invariant Deep Learning Model for Estimating Ejection Fraction From Any Valid Echocardiogram Videoclip, Including Point-of-Care Ultrasound (POCUS)
Circulation, Volume 148, Issue Suppl_1, Page A16836-A16836, November 6, 2023. Background:Recently, our team developed an end-to-end artificial intelligence (AI) framework that can successfully estimate left ventricular ejection fraction (LVEF) from echocardiogram videos. However, this framework requires specific views (A2C and PLAX), and cannot estimate LVEF for studies from which these views are missing.Goal:To develop a deep learning model to estimate LVEF from any type and number of echocardiogram video(s).Methods:We built a deep learning model for B-mode echocardiogram videos of the left ventricle (A2C, A3C, A4C, or PLAX views), using retrospective transthoracic echocardiography (TTE) data. The model was evaluated with two test datasets: one with random valid (i.e., showing the left ventricle) views, and one with preselected views (both having 433 patients). Later, the model was tested with a prospective patient cohort that had both TTE and point-of-care ultrasound (POCUS) data collected simultaneously (393 patients).Results:On the retrospective TTE test set, we observed excellent performance (five random valid views per study: RMSE of 6.87% and Pearson correlation (PC) of 0.82 on LVEF estimation, and an AUC of 0.96 (95% CI: of 0.94-0.98) on low LVEF classification (
Cisl Fvg, preoccupa crescita delle patologie legate al lavoro
Pizzo: “Riconoscerne alcune non ancora tabellate”
Brevettata in Italia una tecnica per conservare i tessuti
Dalla Banca della Cute di Cesena,funziona a temperatura ambiente
Monza in pole position nella prevenzione delle patologie del cavo orale
Venerdì 1 settembre e sabato 2 in occasione del Gran Premio di Formula 1 visite gratuite in piazza a cura dell’Istituto Stomatologico Italiano