In clinical practice, the only LUS findings and the only qualitative analysis of the B-lines, does not make clinicians able to make a clear characterization yet. Thus the study of cardiovascular function, laboratory parameters, anamnestic and clinical data continue to be useful tools to assist the LUS in the diagnostic processes of lung diseases, as was the case in our case.
 In the diagnostic process of our case, LUS played a fundamental role because it quickly directed us, contextually to the clinical and anamnestic evaluation, towards the right diagnosis, in a Pediatric Emergency Department. In clinical practice, the only LUS findings and the only qualitative analysis of the B-lines, does not make clinicians able to make a clear characterization yet. Thus the study of cardiovascular function, laboratory parameters, anamnestic and clinical data continue to be useful tools to assist the LUS in the diagnostic processes of lung diseases, as was the case in our case.
  COVID-19 is a persistent and ongoing global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Non-anthropogenic factors, such as weather conditions and air quality are possible predictors of respiratory diseases, such as COVID-19. Weather conditions may also be a direct cause of biological interactions between SARS-CoV-2 and humans and vary widely between regions. The course of an epidemic is determined by several factors, including demographic and environmental parameters, many of which have an unknown correlation with COVID-19. The goal of this study is to access the influence of ground surface particulate matter and weather parameters on the dissemination of COVID-19 in Ljubljana, Slovenia.
 
  Spearman rank correlation was used to investigate the association between new daily COVID-19 cases and weather data.
 
  The current study has found correlations between weather variables and PM particles with new cases of COVID-19.
 
  The correlations observed are highly dependent on the local policies that were in force during the period under study. The interaction between weather conditions and human behaviour may also be an important factor in understanding the relationship between weather and the spread of COVID -19.
 The correlations observed are highly dependent on the local policies that were in force during the period under study. The interaction between weather conditions and human behaviour may also be an important factor in understanding the relationship between weather and the spread of COVID -19.
  In the best of our knowledge there is not yet in the literature a measurement able to assess post reduction stability of distal radius fractures.
 
  to study the relationship between our newly introduced Pacetti's line, anatomical reduction of DRFs and post-reduction stability of fractures.
 
  Patients/Participants 230 patients (122men, 108women) who sustained a dorsally displaced distal radius fracture.  https://www.selleckchem.com/products/odq.html  Close reduction procedures attempted; below elbow cast applied.
 
  Pacetti's line used on true AP and lateral view xrays after reduction and casting (T0) and at 7-14 days (T1-T2).
 
  Assessment and prediction of early displacement of DRFs.
 
  The Pacetti's line intersected the lunate bone in 162 cases (70.4%) after anatomical reduction, of which 20.4% (N=33) lost anatomical reduction. Cramer's V test significant relationship between transition of Pacetti's line through the semilunar bone and stability of anatomical reduction at T0 follow-up (p<0.001, Cramer's value=0.83). The Pacetti's line intersected the lunate bone in 119 cases (51.7%) at 7-14 days follow-up. None of patients lost anatomical reduction. Cramer's V test significant relationship between transition of Pacetti's line through the semilunar bone and stability anatomical reduction at T1 and T2 follow-up (p<0.001, Cramer's value=0.73).
 
  We strongly recommend the use of the Pacetti's line as it seems to provide reliable prediction of further fracture displacement and consequently of definitive management. The Pacetti's line seems to represent a very useful tool providing simple, feasible, efficient and reliable information on DRFs characteristics and natural course.
 We strongly recommend the use of the Pacetti's line as it seems to provide reliable prediction of further fracture displacement and consequently of definitive management. The Pacetti's line seems to represent a very useful tool providing simple, feasible, efficient and reliable information on DRFs characteristics and natural course.Cardiovascular diseases (CVDs) have been the most common cause of death worldwide for decades. Until recently the most affected patients were middle-aged and elderly, predominantly men, with more frequent ST elevation myocardial infarction (STEMI) caused by obstructive coronary artery disease (CAD). However, in the last two decades we have noticed an increased incidence of ischemia with non-obstructive coronary arteries (INOCA), which includes myocardial infarction with non-obstructive coronary arteries (MINOCA) and non-myocardial infarction syndromes, such as microvascular and vasospastic angina, conditions that have been particularly pronounced in women and young adults - the population we considered low-risky till than. Therefore, it has become apparent that for this group of patients conventional methods of assessing the risk of future cardiovascular (CV) events are no longer specific and sensitive enough. Heart failure with preserved ejection fraction (HFpEF) is another disease, the incidence of which has been rising rapidly during last two decades, and predominantly affects elderly population. Although the etiology and pathophysiology of INOCA and HFpEF are complex and not fully understood, there is no doubt that the underlying cause of both conditions is endothelial dysfunction (ED) which further promotes the development of left ventricular diastolic dysfunction (LVDD). Plasma biomarkers of ED, as well as natriuretic peptides (NPs), have been intensively investigated recently, and some of them have great potential for early detection and better assessment of CV risk in the future.