Public institution Respublikinė Šiauliai Hospital

This study sought to examine the feasibility, accuracy and reproducibility of a novel, fully automated 2D transthoracic echocardiography (2D TTE) parasternal long axis (PLAX) view aortic measurements quantification software compared to board-certified cardiologists in controlled clinical setting. Aortic Annulus (AoA), Aortic Sinus (AoS), Sinotubular Junction (STJ) and Proximal Ascending Aorta (AAo) diameter measurements were performed retrospectively on each of 58 subjects in two different ways: twice using a fully automated software (Ligence Heart version 2) and twice manually by three cardiologists (ORG) and one expert cardiologist (EC). Out of 58 studies AoA was measured in 54 (93%), AoS in 55 (95%), STJ in 55 (95%) and AAo in 54 (93%) studies. Automated measurements had a stronger correlation with EC when compared to ORG with the largest correlation difference of .1 for STJ measurements and lowest difference of .01 for AoS measurements. Automated software was in higher agreement with ground truth intervals (ORG measurements mean +- SEM) in three out of four measurements. Fully automated 2D TTE PLAX view aortic measurements using a novel AI-based quantification software are feasible and yield results that are in close agreement with what experienced readers measure manually while providing better reproducibility. This approach may prove to have important clinical implications in the automation of the aortic root and ascending aorta assessment to improve workflow efficiency.

(1) Background: Acute ischemic stroke (AIS) is a possible complication of the coronavirus disease 2019 (COVID-19). Safety and efficacy data on reperfusion therapies (RT)—intravenous thrombolysis and endovascular treatment (EVT)—in stroke patients with COVID-19 is lacking. (2) Methods: We performed a retrospective nationwide multi-center pair-matched analysis of COVID-19 patients with AIS who underwent RT. We included adult COVID-19 patients with AIS who were treated with RT between 16 March 2020 and 30 June 2021. All subjects were paired with non-infected controls, matched for age, sex, stroke arterial vascular territory, and RT modality. The primary outcome measure was a favorable functional outcome defined by the modified Rankin scale (mRS 0–2). (3) Results: Thirty-one subjects and thirty-one matched controls were included. The median baseline National Institutes of Health Stroke Scale (NIHSS) score was higher in the COVID-19 group (16 vs. 12, p = 0.028). Rates of ischemic changes and symptomatic intracerebral hemorrhages did not differ significantly between the two groups at 24 h after RT. The median NIHSS 24 h after reperfusion remained significantly higher in the COVID-19 group (16 vs. 5, p = 0.003). MRS 0–2 at discharge was significantly less common in COVID-19 patients (22.6% vs. 51.8%, p = 0.018). Three-month mortality was 54.8% in the COVID-19 group versus 12.9% in controls (p = 0.001). (4) Conclusion: Reperfusion therapies on AIS in COVID-19 patients appear to be safe; however, functional outcomes are significantly worse, and 3-month mortality is higher.

The article studies possibility by using the data of the Road Weather Information Systems to forecast the beginning of precipitation on the roads maintained by the state road maintenance enterprises. The article discusses the importance of forecasts both to the road users as well as road maintenance enterprises, especially in a cold period of the year. The hazards caused by meteorological phenomena specific of winter season are presented. Research methodology is described which is based on the speed of movement of clouds carrying precipitation. To calculate speed the theoretical background is given assisting in selection of certain parameters for the determination of this value. Knowing the speed of movement of clouds the forecasts have been made. Results of the forecasts are compared to the real parameters and it is determined in what radius the forecasts are advisable to be made.

Our aim was to evaluate the incidence of biopsy-proven kidney diseases in Lithuania and to compare their changes in three different time intervals. All Lithuanian kidney biopsies were performed in the National Center of Pathology, enabling analysis at the national level. The native kidney biopsy data were reviewed, and incidence of renal disorders and patient demographics were compared during three time intervals: 1994-1999, 2000-2006, and 2007-2012. A total of 5,368 kidney biopsies were performed, including 3,640 native kidney and 1,728 kidney transplant biopsies; 59.5% (2,165) of the native kidney biopsies were classified as primary glomerulopathies. The most common entity was IgA nephropathy (737; 34.0%), followed by focal segmental glomerulosclerosis (285; 13.2%) and membranoproliferative glomerulonephritis (256; 11.8%). Prominent decrease in incidence of membranoproliferative glomerulonephritis (16.8 to 8.7% from the first to third time interval) and increase in (mainly, pauci-immune) crescentic glomerulonephritis (6.2 to 15.3%) were noted over the study period. In a subgroup of 427 pediatric native kidney biopsies, IgAN accounted for 24.9% of biopsies. The incidence of MCNS increased dramatically from the first to third time interval (6.3 to 25.4%), while the number of MPGN increased in the second time interval (from 7.2 to 8.9%) but decreased in the third one (to 4.4%). Decrease in relative incidence of membranoproliferative glomerulonephritis, most likely, reflects improvement in socioeconomic conditions, while relative increase in crescentic glomerulonephritis is interpreted as improved diagnostics of the disease.