Internal and emergency medicine
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Non-invasive respiratory support, namely, non-invasive ventilation, continuous positive airway pressure, and high-flow nasal cannula, has been increasingly used worldwide to treat acute hypoxemic respiratory failure, giving the benefits of keeping spontaneous breathing preserved. In this scenario, monitoring and controlling respiratory drive could be helpful to avoid patient self-inflicted lung injury and promptly identify those patients that require an upgrade to invasive mechanical ventilation. ⋯ Further, we analyze and compare the leading strategies implemented for respiratory drive monitoring and discuss the sedative drugs and the non-pharmacological approaches used to modulate respiratory drive during non-invasive respiratory support. Refining the available techniques and rethinking our therapeutic and monitoring targets can help critical care physicians develop a personalized and minimally invasive approach.
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Multicenter Study
How histopathological diagnosis interacts with kidney ultrasound parameters and glomerular filtration rate.
The evaluation of estimated GFR (eGFR) is a pivotal staging step in patients with chronic kidney disease (CKD), and renal ultrasound plays an important role in diagnosis, prognosis and progression of CKD. The interaction between histopathological diagnosis and ultrasound parameters in eGFR determination has not been fully investigated yet. The study examined the results of native kidney biopsies performed in 48 Italian centers between 2012 and 2020. ⋯ Renal bipolar length and parenchymal thickness are directly related with eGFR. The magnitude of proteinuria and histopathological kidney diagnosis are associated with eGFR. The relationship between kidney length and the level of eGFR depends on the nature of the kidney disease.
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Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a common cause for emergency department (ED) visits. Still, large scale studies that assess the management of AECOPD in the ED are limited. Our aim was to evaluate treatment characteristics of AE-COPD in the ED on a national scale. ⋯ Receiving routine ED care was associated with its continuation during hospitalization (p < 0.001). In multivariate analysis, predictors for patients not receiving routine care were obesity (adjusted odds ratio 0.5, 95% CI 0.3-0.8, p = 0.01) and fever (AOR 0.3, 95% CI 0.1-0.6, p < 0.01), while oxygen saturation < 91% was an independent predictor for ED routine treatment (AOR 3.6, 95% CI 2.1-6.3, p < 0.01). Our findings highlight gaps in the treatment of AECOPD in the ED on a national scale, with specific predictors for their occurrence.
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Lung ultrasound (LUS) is an effective tool for diagnosing acute heart failure (AHF). However, several imaging protocols currently exist and how to best use LUS remains undefined. We aimed at developing a lung ultrasound-based model for AHF diagnosis using machine learning. ⋯ Accuracy in the validation cohort was excellent (AUC = 0.906). Importantly, adding the algorithm on top of a validated clinical score and classical definition of positive LUS scanning for AHF resulted in a significant improvement in diagnostic accuracy (continuous net reclassification improvement = 1.21, P < 0.001). Our simple lung ultrasound-based machine learning algorithm features an excellent performance and may constitute a validated strategy to diagnose AHF.
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Development of ventricular failure and pulmonary edema is associated with a worse prognosis in ST-elevation myocardial infarction (STEMI). We aimed to evaluate the prognostic ability of a novel classification combining lung ultrasound (LUS) and left ventricular outflow tract (LVOT) velocity time integral (VTI) in patients with STEMI. LUS and LVOT-VTI were performed within 24 h of admission in STEMI patients. ⋯ The AUC for predicting CS was 0.908 (p < 0.001). In a cohort of STEMI patients, LUV provided to be an excellent method for prediction of in-hospital mortality and development of CS. LUV classification is a fast, non-invasive and very user-friendly ultrasonographic evaluation method to stratify the risk of mortality and CS.