No abstract

Institutional review board approval and informed consent were obtained. The purpose of the study was to prospectively perform magnetic resonance (MR) arthrography of the glenohumeral joint by using modified posterior approach without ultrasonographic or fluoroscopic guidance. A solution containing 0.1 mL of gadolinium chelate, 15 mL of saline, and 5 mL of 2% lidocaine was subsequently injected into the glenohumeral joint in 147 patients (81 men, 66 women; age range, 20-79 years). A 21-gauge needle was advanced along a trajectory connecting a skin mark 3-4 cm below and 2 cm medially to the posterolateral margin of the acromion and the coracoid process, as assessed with palpation, proceeding in posteroanterior direction. The joint was successfully entered at first attempt in 125 (85%) patients, at second attempt in 19 (13%), and at third attempt in three (2%). Contrast material-enhanced images were evaluated for presence, site, and maximal extent of contrast material extravasation; route of diffusion of the extravasation; compromised or noncompromised diagnostic quality; and presence of gas bubbles. Extravasation occurred in seven patients: at the interval between the teres minor muscle and infraspinatus muscle in five and within the infraspinatus muscle belly in two; extravasation had diffused along the teres minor muscle and infraspinatus muscle in five (71%) and along the teres minor muscle in two (29%). The mean extension of extravasation was 15 mm. Image quality was not compromised, and no gas bubbles were detected. The procedure was successful in all patients, with no complications.

Between January and October of 2020, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has infected more than 34 million persons in a worldwide pandemic leading to over one million deaths worldwide (data from the Johns Hopkins University). Since the virus begun to spread, emergency departments were busy with COVID-19 patients for whom a quick decision regarding in-or outpatient care was required. The virus can cause characteristic abnormalities in chest radiographs (CXR), but, due to the low sensitivity of CXR, additional variables and criteria are needed to accurately predict risk. Here, we describe a computerized system primarily aimed at extracting the most relevant radiological, clinical, and laboratory variables for improving patient risk prediction, and secondarily at presenting an explainable machine learning system, which may provide simple decision criteria to be used by clinicians as a support for assessing patient risk. To achieve robust and reliable variable selection, Boruta and Random Forest (RF) are combined in a 10-fold cross-validation scheme to produce a variable importance estimate not biased by the presence of surrogates. The most important variables are then selected to train a RF classifier, whose rules may be extracted, simplified, and pruned to finally build an associative tree, particularly appealing for its simplicity. Results show that the radiological score automatically computed through a neural network is highly correlated with the score computed by radiologists, and that laboratory variables, together with the number of comorbidities, aid risk prediction. The prediction performance of our approach was compared to that that of generalized linear models and shown to be effective and robust. The proposed machine learning-based computational system can be easily deployed and used in emergency departments for rapid and accurate risk prediction in COVID-19 patients.

Our findings do not support the role of SUA as an independent risk factor for subclinical TOD in a selected population of recently diagnosed uncomplicated hypertensives at low prevalence of hyperuricemia.

The relationship between ambulatory blood pressure (ABP), target organ damage (TOD) and aortic root (AR) size in human hypertension has not been fully explored to date. We investigated the relationship between ABP, different markers of TOD and AR size in never-treated essential hypertensive patients. A total of 519 grade 1 and 2 hypertensive patients (mean age 46712 years) referred for the first time to our outpatient clinic underwent the following procedures: (1) routine examination, (2) 24 h urine collection for microalbuminuria (MA), (3) ambulatory blood pressure monitoring over two 24 h periods within 4 weeks, (4) echocardiography and (5) carotid ultrasonography. AR dilatation was defined by sex-specific criteria (X40 mm in men and X37 mm in women). AR diameter was increased in 3.7% of patients. Demographic variables (body mass index, age and male gender), average night-time diastolic blood pressure (BP) (but not clinic or average 48 h BP), left ventricular mass index and carotid intima-media (IM) thickness showed an independent association with AR size in both univariate and multivariate analyses. When TOD data were analysed in a categorical way, a stepwise increase in the prevalence of left ventricular hypertrophy (LVH) (I ¼ 17.5%, II ¼ 27.6%, III ¼ 35.8%) and carotid IM thickening (I ¼ 20.9%, II ¼ 28.8%, III ¼ 34.4%), but not in MA (I ¼ 6.8%, II ¼ 9.1%, III ¼ 8.7%) was found with the progression of AR size tertiles. Our results show that (1) AR enlargement in uncomplicated never-treated hypertensive patients has a markedly lower prevalence than traditional markers of cardiac and extracardiac TOD; (2) night-time BP, LVH and carotid IM thickening are independent predictors of AR dimension.